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Fukunaga H, Ikeda A. Mitochondrial DNA copy number variation across three generations: a possible biomarker for assessing perinatal outcomes. Hum Genomics 2023; 17:113. [PMID: 38098033 PMCID: PMC10722810 DOI: 10.1186/s40246-023-00567-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Mitochondria have their own circular multi-copy genome (mtDNA), and abnormalities in the copy number are implicated in mitochondrial dysfunction, which contributes to a variety of aging-related pathologies. However, not much is known about the genetic correlation of mtDNA copy number across multiple generations and its physiological significance. METHODS We measured the mtDNA copy number in cord blood or peripheral blood from 149 three-generation families, specifically the newborns, parents, and grandparents, of 149 families, totaling 1041 individuals. All of the biological specimens and information were provided by the Tohoku Medical Megabank Project in Japan. We also analyzed their maternal factors during pregnancy and neonatal outcomes. RESULTS While the maternal peripheral blood mtDNA copy number was lower than that of other adult family members, it was negatively correlated with cord blood mtDNA copy number in male infants. Also, cord blood mtDNA copy numbers were negatively correlated with perinatal outcomes, such as gestation age, birth weight, and umbilical cord length, for both male and female neonates. Furthermore, the mtDNA copy number in the infants born to mothers who took folic acid supplements during pregnancy would be lower than in the infants born to mothers who did not take them. CONCLUSIONS This data-driven study offers the most comprehensive view to date on the genetic and physiological significance of mtDNA copy number in cord blood or peripheral blood taken from three generations, totaling more than 1000 individuals. Our findings indicate that mtDNA copy number would be one of the transgenerational biomarkers for assessing perinatal outcomes, as well as that appropriate medical interventions could improve the outcomes via quantitative changes in mtDNA.
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Affiliation(s)
- Hisanori Fukunaga
- Center for Environmental and Health Sciences, Hokkaido University, N12 W7 Kita-ku, Sapporo, 060-0812, Japan.
- Faculty of Health Sciences, Hokkaido University, Sapporo, Japan.
| | - Atsuko Ikeda
- Center for Environmental and Health Sciences, Hokkaido University, N12 W7 Kita-ku, Sapporo, 060-0812, Japan
- Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
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52
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Aizawa M, Murakami K, Takahashi I, Ohseto H, Noda A, Shinoda G, Orui M, Ishikuro M, Obara T, Hamada H, Iwama N, Saito M, Sugawara J, Kuriyama S. Association between frequency of breakfast intake before and during pregnancy and developmental delays in children: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Nutr J 2023; 22:66. [PMID: 38053088 DOI: 10.1186/s12937-023-00901-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/28/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Although an association between maternal nutritional intake and developmental delays in children has been demonstrated, the association of the timing of meal intake and development delays remains unclear. We examined the association between breakfast intake frequency before and during pregnancy and developmental delay in children. METHODS Of the pregnant women who participated in the Tohoku Medical Megabank Project Three-Generation Cohort Study, 7491 answered the required questions and were analyzed. The frequency of breakfast intake from pre- to early pregnancy and from early to mid-pregnancy was classified into four groups: daily, and 5-6, 3-4, and 0-2 times/week. Child developmental delays at age 2 and 3.5 years were assessed using the Ages & Stages Questionnaire, Third Edition. Logistic regression models were constructed to examine the association between breakfast intake frequency in pregnant women and developmental delays in children aged 2 and 3.5 years. RESULTS The proportion of pregnant women who had breakfast daily was 78.1% in pre- to early pregnancy, and 82.2% in early to mid-pregnancy. The proportion of children with developmental delays was 14.7% and 13.4% at age 2 and 3.5 years, respectively. Compared with the risk in children of women who had breakfast daily from pre- to early pregnancy, children of women who had breakfast 0-2 times/week had a higher risk of developmental delays at 2 years of age: odds ratio (OR) 1.30, (95% confidence interval [CI], 1.02-1.66). The risk of developmental delays at age 2 years increased in the children of women who had breakfast 0-2 times/week in early to mid- pregnancy: OR 1.75 (95% CI, 1.32-2.32). The risk of developmental delays at age 3.5 years did not increase in the children of women who had breakfast 0-2 times/week from pre- to early and early to mid-pregnancy: OR 1.06 (95% CI, 0.81-1.39 and OR 1.15 (95% CI 0.84-1.57), respectively. CONCLUSION For women with a low frequency of breakfast intake from pre- to mid-pregnancy there was an association with developmental delays in their children at age 2, but not at 3.5 years.
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Affiliation(s)
- Misato Aizawa
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan.
| | - Ippei Takahashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Hisashi Ohseto
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Genki Shinoda
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
| | - Masatsugu Orui
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
- Suzuki Memorial Hospital, 3-5-5 Satonomori, Iwanuma, Miyagi, 989-2481, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, 980-8572, Japan
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53
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Tomita H, Iwama N, Hamada H, Kudo R, Tagami K, Kumagai N, Sato N, Izumi S, Sakurai K, Watanabe Z, Ishikuro M, Obara T, Tatsuta N, Hoshiai T, Metoki H, Saito M, Sugawara J, Kuriyama S, Arima T, Yaegashi N. The impact of maternal and paternal birth weights on infant birth weights: the Japan environment and children's study. J Dev Orig Health Dis 2023; 14:699-710. [PMID: 38247363 DOI: 10.1017/s2040174423000387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
This study aimed to evaluate the association between parental and infant birth weights in Japan. In total, 37,504 pregnant Japanese women and their partners were included in this birth cohort study. A multinomial logistic regression model was used to evaluate the associations of parental birth weights with small-for-gestational-age (SGA) or large-for-gestational-age (LGA) infants. Associations between parental birth weight and low birth weight (LBW) infants or macrosomia were also examined, and linear associations between parental birth weight and SGA or LGA were found. The adjusted odds ratios (aORs) for SGA infants per 500 g decrease in maternal and paternal birth weights were 1.50 (95% confidence interval [CI],1.43-1.58) and 1.31 (95% CI, 1.25-1.38), respectively. The aORs for LGA infants per 500 g increase in maternal and paternal birth weights were 1.53 (95% CI, 1.47-1.60) and 1.41 (95% CI, 1.35-1.47), respectively. The association between parental birth weight and LBW infants or macrosomia was also linear. The aORs for LBW infants per 500 g decrease in maternal and paternal birth weights were 1.47 (95% CI, 1.40-1.55) and 1.25 (95% CI, 1.19-1.31), respectively. The aORs for macrosomia per 500 g increase in maternal and paternal birth weights were 1.59 (95% CI, 1.41-1.79) and 1.40 (95% CI, 1.23-1.60), respectively. Parental birth weight was found to be associated with infant birth weight even after adjusting for various parental factors. Furthermore, maternal birth weight was more strongly associated with infant birth weight than with paternal birth weight.
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Affiliation(s)
- Hasumi Tomita
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Noriyuki Iwama
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
| | - Hirotaka Hamada
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Rie Kudo
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Kazuma Tagami
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Natsumi Kumagai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Naoto Sato
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Seiya Izumi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Kasumi Sakurai
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Zen Watanabe
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Taku Obara
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Nozomi Tatsuta
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Hirohito Metoki
- Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, Sendai, MI, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Junichi Sugawara
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
- Suzuki Memorial Hospital, Iwanuma, MI, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, MI, Japan
| | - Takahiro Arima
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, MI, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, MI, Japan
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54
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Murakami K, Noda A, Ishikuro M, Obara T, Ueno F, Onuma T, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Maternal social isolation in the perinatal period and early childhood development: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1593-1601. [PMID: 37269311 DOI: 10.1007/s00127-023-02498-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 05/24/2023] [Indexed: 06/05/2023]
Abstract
PURPOSE Studies examining the associations between maternal social relationships and early childhood development have mainly focused on social relationships after childbirth. We aimed to prospectively examine the associations between the transition of maternal social isolation from the prenatal to postnatal period and early childhood development. METHODS We analyzed data for 6692 mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Social isolation in the prenatal and postnatal periods was assessed by the Lubben Social Network Scale-abbreviated version and categorized into four groups: none, prenatal only, postnatal only, and both. The Ages and Stages Questionnaire, Third Edition, which consists of five developmental areas, was used to assess developmental delays in children at 2 and 3.5 years of age. Multiple logistic regression analyses were conducted to examine the associations between maternal social isolation and developmental delays. RESULTS The prevalence of social isolation in both the prenatal and postnatal periods was 13.1%. Social isolation in both the prenatal and postnatal periods was associated with developmental delays in children at 2 and 3.5 years of age: the multivariate-adjusted odds ratios (95% confidence intervals) were 1.68 (1.39-2.04) and 1.43 (1.17-1.76), respectively. Social isolation in the prenatal period only and social isolation in the postnatal period only were not associated with developmental delays in children at 2 and 3.5 years of age. CONCLUSION Maternal social isolation in both the prenatal and postnatal periods was associated with an increased risk of developmental delays in early childhood.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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55
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Takase M, Nakaya N, Nakamura T, Kogure M, Hatanaka R, Nakaya K, Chiba I, Kanno I, Nochioka K, Tsuchiya N, Hirata T, Hamanaka Y, Sugawara J, Kobayashi T, Fuse N, Uruno A, Kodama EN, Kuriyama S, Tsuji I, Hozawa A. Carotid Intima Media Thickness and Risk Factor for Atherosclerosis: Tohoku Medical Megabank Community-Based Cohort Study. J Atheroscler Thromb 2023; 30:1471-1482. [PMID: 36775331 PMCID: PMC10564640 DOI: 10.5551/jat.64039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/09/2023] [Indexed: 02/13/2023] Open
Abstract
AIM We examined the association between the carotid intima medica thickness (cIMT) and risk factors for atherosclerosis based on the Japan Atherosclerosis Society 2022 Atherosclerosis Prevention Guideline. METHODS Using data from the Tohoku Medical Megabank Community-based Cohort Study, we performed a cross-sectional study that enrolled 13,366 participants (age ≥ 20 years) with an analysis of covariance to assess associations between cIMT and risk factors for atherosclerosis. The maximum common carotid artery was measured using high-resolution B-mode ultrasound. Analysis was conducted in the model adjusted for age, sex, smoking status, drinking status, body mass index (BMI), systolic blood pressure (SBP), glycated hemoglobin (HbA1c), high-density lipoprotein-cholesterol (HDL-C), non-high-density lipoprotein-cholesterol (non-HDL-C), and height. RESULTS In this study cohort, the average age and cIMT were 57.3 (13.8) years and 0.61 (0.13) mm, respectively, which included 3,988 males (29.8%). Males had a higher cIMT than did the females. Age, height, BMI, SBP, HbA1c, and non-HDL-C were positively associated with cIMT. HDL-C was inversely associated with cIMT. Compared with never drinkers, current drinkers (≥ 46.0 g/day) had a significantly decreased cIMT. CONCLUSIONS The cIMT was associated with atherosclerosis risk factors including age, sex, BMI, SBP, HbA1c, non-HDL-C, and HDL-C, and adequate control of risks in high-risk individuals might be required to prevent atherosclerotic cardiovascular diseases.
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Affiliation(s)
- Masato Takase
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mana Kogure
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Rieko Hatanaka
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kumi Nakaya
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ippei Chiba
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ikumi Kanno
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kotaro Nochioka
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Naho Tsuchiya
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Takumi Hirata
- Institute for Clinical and Translational Science, Nara Medical University, Nara, Japan
| | - Yohei Hamanaka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Junichi Sugawara
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Tomoko Kobayashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Eiichi N Kodama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Ichiro Tsuji
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
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Takahashi I, Obara T, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Shinoda G, Nishimura T, Tsuchiya KJ, Kuriyama S. Screen Time at Age 1 Year and Communication and Problem-Solving Developmental Delay at 2 and 4 Years. JAMA Pediatr 2023; 177:1039-1046. [PMID: 37603356 PMCID: PMC10442786 DOI: 10.1001/jamapediatrics.2023.3057] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/22/2023] [Indexed: 08/22/2023]
Abstract
Importance Whether some domains of child development are specifically associated with screen time and whether the association continues with age remain unknown. Objective To examine the association between screen time exposure among children aged 1 year and 5 domains of developmental delay (communication, gross motor, fine motor, problem-solving, and personal and social skills) at age 2 and 4 years. Design, Participants, and Setting This cohort study was conducted under the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Pregnant women at 50 obstetric clinics and hospitals in the Miyagi and Iwate prefectures in Japan were recruited into the study between July 2013 and March 2017. The information was collected prospectively, and 7097 mother-child pairs were included in the analysis. Data analysis was performed on March 20, 2023. Exposure Four categories of screen time exposure were identified for children aged 1 year (<1, 1 to <2, 2 to <4, or ≥4 h/d). Main Outcomes and Measures Developmental delays in the 5 domains for children aged 2 and 4 years were assessed using the Japanese version of the Ages & Stages Questionnaires, Third Edition. Each domain ranged from 0 to 60 points. Developmental delay was defined if the total score for each domain was less than 2 SDs from its mean score. Results Of the 7097 children in this study, 3674 were boys (51.8%) and 3423 were girls (48.2%). With regard to screen time exposure per day, 3440 children (48.5%) had less than 1 hour, 2095 (29.5%) had 1 to less than 2 hours, 1272 (17.9%) had 2 to less than 4 hours, and 290 (4.1%) had 4 or more hours. Children's screen time was associated with a higher risk of developmental delay at age 2 years in the communication (odds ratio [OR], 1.61 [95% CI, 1.23-2.10] for 1 to <2 h/d; 2.04 [1.52-2.74] for 2 to <4 h/d; 4.78 [3.24-7.06] for ≥4 vs <1 h/d), fine motor (1.74 [1.09-2.79] for ≥4 vs <1 h/d), problem-solving (1.40 [1.02-1.92] for 2 to <4 h/d; 2.67 [1.72-4.14] for ≥4 vs <1 h/d), and personal and social skills (2.10 [1.39-3.18] for ≥4 vs <1 h/d) domains. Regarding risk of developmental delay at age 4 years, associations were identified in the communication (OR, 1.64 [95% CI, 1.20-2.25] for 2 to <4 h/d; 2.68 [1.68-4.27] for ≥4 vs <1 h/d) and problem-solving (1.91 [1.17-3.14] for ≥4 vs <1 h/d) domains. Conclusions and Relevance In this study, greater screen time for children aged 1 year was associated with developmental delays in communication and problem-solving at ages 2 and 4 years. These findings suggest that domains of developmental delay should be considered separately in future discussions on screen time and child development.
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Affiliation(s)
- Ippei Takahashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumihiko Ueno
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Tomomi Onuma
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Genki Shinoda
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomoko Nishimura
- United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kenji J. Tsuchiya
- United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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57
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Nishioka M, Takayama J, Sakai N, Kazuno AA, Ishiwata M, Ueda J, Hayama T, Fujii K, Someya T, Kuriyama S, Tamiya G, Takata A, Kato T. Deep exome sequencing identifies enrichment of deleterious mosaic variants in neurodevelopmental disorder genes and mitochondrial tRNA regions in bipolar disorder. Mol Psychiatry 2023; 28:4294-4306. [PMID: 37248276 PMCID: PMC10827672 DOI: 10.1038/s41380-023-02096-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/31/2023]
Abstract
Bipolar disorder (BD) is a global medical issue, afflicting around 1% of the population with manic and depressive episodes. Despite various genetic studies, the genetic architecture and pathogenesis of BD have not been fully resolved. Besides germline variants, postzygotic mosaic variants are proposed as new candidate mechanisms contributing to BD. Here, we performed extensive deep exome sequencing (DES, ~300×) and validation experiments to investigate the roles of mosaic variants in BD with 235 BD cases (194 probands of trios and 41 single cases) and 39 controls. We found an enrichment of developmental disorder (DD) genes in the genes hit by deleterious mosaic variants in BD (P = 0.000552), including a ClinVar-registered pathogenic variant in ARID2. An enrichment of deleterious mosaic variants was also observed for autism spectrum disorder (ASD) genes (P = 0.000428). The proteins coded by the DD/ASD genes with non-synonymous mosaic variants in BD form more protein-protein interaction than expected, suggesting molecular mechanisms shared with DD/ASD but restricted to a subset of cells in BD. We also found significant enrichment of mitochondrial heteroplasmic variants, another class of mosaic variants, in mitochondrial tRNA genes in BD (P = 0.0102). Among them, recurrent m.3243 A > G variants known as causal for mitochondrial diseases were found in two unrelated BD probands with allele fractions of 5-12%, lower than in mitochondrial diseases. Despite the limitation of using peripheral tissues, our DES investigation supports the possible contribution of deleterious mosaic variants in the nuclear genome responsible for severer phenotypes, such as DD/ASD, to the risk of BD and further demonstrates that the same paradigm can be applied to the mitochondrial genome. These results, as well as the enrichment of heteroplasmic mitochondrial tRNA variants in BD, add a new piece to the understanding of the genetic architecture of BD and provide general insights into the pathological roles of mosaic variants in human diseases.
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Affiliation(s)
- Masaki Nishioka
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
- Department of Molecular Pathology of Mood Disorders, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
- Laboratory for Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
| | - Jun Takayama
- Department of AI and Innovative Medicine, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan
| | - Naomi Sakai
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - An-A Kazuno
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
- Laboratory for Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Mizuho Ishiwata
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Junko Ueda
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
- Laboratory for Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Takashi Hayama
- Yokohama Mental Clinic Totsuka, 494-8 Kamikurata-cho, Totsuka-ku, Yokohama, 244-0816, Japan
| | - Kumiko Fujii
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan
| | - Toshiyuki Someya
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, 757 Asahimachidori-ichibancho, Chuo-ku, Niigata, 951-8510, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Department of Molecular Epidemiology, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Gen Tamiya
- Department of AI and Innovative Medicine, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan
| | - Atsushi Takata
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
- Laboratory for Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
- Research Institute for Diseases of Old Age, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
| | - Tadafumi Kato
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
- Department of Molecular Pathology of Mood Disorders, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
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Matsudaira I, Yamaguchi R, Taki Y. Transmit Radiant Individuality to Offspring (TRIO) study: investigating intergenerational transmission effects on brain development. Front Psychiatry 2023; 14:1150973. [PMID: 37840799 PMCID: PMC10568142 DOI: 10.3389/fpsyt.2023.1150973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 09/07/2023] [Indexed: 10/17/2023] Open
Abstract
Intergenerational transmission is a crucial aspect of human development. Although prior studies have demonstrated the continuity of psychopathology and maladaptive upbringing environments between parents and offspring, the underlying neurobiological mechanisms remain unclear. We have begun a novel neuroimaging research project, the Transmit Radiant Individuality to Offspring (TRIO) study, which focuses on biological parent-offspring trios. The participants of the TRIO study were Japanese parent-offspring trios consisting of offspring aged 10-40 and their biological mother and father. Structural and functional brain images of all participants were acquired using magnetic resonance imaging (MRI). Saliva samples were collected for DNA analysis. We obtained psychosocial information, such as intelligence, mental health problems, personality traits, and experiences during the developmental period from each parent and offspring in the same manner as much as possible. By April 2023, we completed data acquisition from 174 trios consisting of fathers, mothers, and offspring. The target sample size was 310 trios. However, we plan to conduct genetic and epigenetic analyses, and the sample size is expected to be expanded further while developing this project into a multi-site collaborative study in the future. The TRIO study can challenge the elucidation of the mechanism of intergenerational transmission effects on human development by collecting diverse information from parents and offspring at the molecular, neural, and behavioral levels. Our study provides interdisciplinary insights into how individuals' lives are involved in the construction of the lives of their descendants in the subsequent generation.
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Affiliation(s)
- Izumi Matsudaira
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
| | - Ryo Yamaguchi
- Japan Society for the Promotion of Science, Tokyo, Japan
- Department of Medical Sciences, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
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59
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Mizuno S, Nagaie S, Tamiya G, Kuriyama S, Obara T, Ishikuro M, Tanaka H, Kinoshita K, Sugawara J, Yamamoto M, Yaegashi N, Ogishima S. Establishment of the early prediction models of low-birth-weight reveals influential genetic and environmental factors: a prospective cohort study. BMC Pregnancy Childbirth 2023; 23:628. [PMID: 37653383 PMCID: PMC10472725 DOI: 10.1186/s12884-023-05919-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 08/12/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Low birth weight (LBW) is a leading cause of neonatal morbidity and mortality, and increases various disease risks across life stages. Prediction models of LBW have been developed before, but have limitations including small sample sizes, absence of genetic factors and no stratification of neonate into preterm and term birth groups. In this study, we challenged the development of early prediction models of LBW based on environmental and genetic factors in preterm and term birth groups, and clarified influential variables for LBW prediction. METHODS We selected 22,711 neonates, their 21,581 mothers and 8,593 fathers from the Tohoku Medical Megabank Project Birth and Three-Generation cohort study. To establish early prediction models of LBW for preterm birth and term birth groups, we trained AI-based models using genetic and environmental factors of lifestyles. We then clarified influential environmental and genetic factors for predicting LBW in the term and preterm groups. RESULTS We identified 2,327 (10.22%) LBW neonates consisting of 1,077 preterm births and 1,248 term births. Our early prediction models archived the area under curve 0.96 and 0.95 for term LBW and preterm LBW models, respectively. We revealed that environmental factors regarding eating habits and genetic features related to fetal growth were influential for predicting LBW in the term LBW model. On the other hand, we identified that genomic features related to toll-like receptor regulations and infection reactions are influential genetic factors for prediction in the preterm LBW model. CONCLUSIONS We developed precise early prediction models of LBW based on lifestyle factors in the term birth group and genetic factors in the preterm birth group. Because of its accuracy and generalisability, our prediction model could contribute to risk assessment of LBW in the early stage of pregnancy and control LBW risk in the term birth group. Our prediction model could also contribute to precise prediction of LBW based on genetic factors in the preterm birth group. We then identified parental genetic and maternal environmental factors during pregnancy influencing LBW prediction, which are major targets for understanding the LBW to address serious burdens on newborns' health throughout life.
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Affiliation(s)
- Satoshi Mizuno
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Satoshi Nagaie
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Gen Tamiya
- Department of Statistical Genetics and Genomics, Group of Disease Risk Prediction, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Shinichi Kuriyama
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Taku Obara
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Mami Ishikuro
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Hiroshi Tanaka
- Medical Data Science Promotion, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kengo Kinoshita
- Department of Statistical Genetics and Genomics, Group of Systems Bioinformatics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Junichi Sugawara
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Tohoku University, Miyagi, Japan
- Department of Feto-Maternal Medical Science, Group of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
- Suzuki Memorial Hospital 3-5-5, Satonomori, Iwanumashi, Miyagi, 989-2481, Japan
| | - Masayuki Yamamoto
- Department of Medical Biochemistry, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Nobuo Yaegashi
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Tohoku University, Miyagi, Japan
| | - Soichi Ogishima
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
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60
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Taira M, Mugikura S, Mori N, Hozawa A, Saito T, Nakamura T, Kiyomoto H, Kobayashi T, Ogishima S, Nagami F, Uruno A, Shimizu R, Kobayashi T, Yasuda J, Kure S, Sakurai M, Motoike IN, Kumada K, Nakaya N, Obara T, Oba K, Sekiguchi A, Thyreau B, Mutoh T, Takano Y, Abe M, Maikusa N, Tatewaki Y, Taki Y, Yaegashi N, Tomita H, Kinoshita K, Kuriyama S, Fuse N, Yamamoto M. Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study: Rationale, Design, and Background. JMA J 2023; 6:246-264. [PMID: 37560377 PMCID: PMC10407421 DOI: 10.31662/jmaj.2022-0220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/24/2023] [Indexed: 08/11/2023] Open
Abstract
The Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study (TMM Brain MRI Study) was established to collect multimodal information through neuroimaging and neuropsychological assessments to evaluate the cognitive function and mental health of residents who experienced the Great East Japan Earthquake (GEJE) and associated tsunami. The study also aimed to promote advances in personalized healthcare and medicine related to mental health and cognitive function among the general population. We recruited participants for the first (baseline) survey starting in July 2014, enrolling individuals who were participating in either the TMM Community-Based Cohort Study (TMM CommCohort Study) or the TMM Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study). We collected multiple magnetic resonance imaging (MRI) sequences, including 3D T1-weighted sequences, magnetic resonance angiography (MRA), diffusion tensor imaging (DTI), pseudo-continuous arterial spin labeling (pCASL), and three-dimensional fluid-attenuated inversion recovery (FLAIR) sequences. To assess neuropsychological status, we used both questionnaire- and interview-based rating scales. The former assessments included the Tri-axial Coping Scale, Impact of Event Scale in Japanese, Profile of Mood States, and 15-item Depression, Anxiety, and Stress Scale, whereas the latter assessments included the Mini-Mental State Examination, Japanese version. A total of 12,164 individuals were recruited for the first (baseline) survey, including those unable to complete all assessments. In parallel, we returned the MRI results to the participants and subsequently shared the MRI data through the TMM Biobank. At present, the second (first follow-up) survey of the study started in October 2019 is underway. In this study, we established a large and comprehensive database that included robust neuroimaging data as well as psychological and cognitive assessment data. In combination with genomic and omics data already contained in the TMM Biobank database, these data could provide new insights into the relationships of pathological processes with neuropsychological disorders, including age-related cognitive impairment.
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Affiliation(s)
- Makiko Taira
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Shunji Mugikura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Naoko Mori
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomo Saito
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hideyasu Kiyomoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tadao Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Ritsuko Shimizu
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Tomoko Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Jun Yasuda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Miyagi Cancer Center, Natori, Japan
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
- Miyagi Children's Hospital, Sendai, Japan
| | - Miyuki Sakurai
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ikuko N Motoike
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kentaro Oba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Benjamin Thyreau
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tatsushi Mutoh
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yuji Takano
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- University of Human Environments, Matsuyama, Japan
| | - Mitsunari Abe
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
- Graduate School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Norihide Maikusa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
- Graduate School of Art and Science, University of Tokyo, Tokyo, Japan
| | - Yasuko Tatewaki
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
- The United Centers for Advanced Research and Translational Medicine, Tohoku University, Sendai, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
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Li X, Ono C, Warita N, Shoji T, Nakagawa T, Usukura H, Yu Z, Takahashi Y, Ichiji K, Sugita N, Kobayashi N, Kikuchi S, Kimura R, Hamaie Y, Hino M, Kunii Y, Murakami K, Ishikuro M, Obara T, Nakamura T, Nagami F, Takai T, Ogishima S, Sugawara J, Hoshiai T, Saito M, Tamiya G, Fuse N, Fujii S, Nakayama M, Kuriyama S, Yamamoto M, Yaegashi N, Homma N, Tomita H. Comprehensive evaluation of machine learning algorithms for predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability. Front Psychiatry 2023; 14:1104222. [PMID: 37415686 PMCID: PMC10322181 DOI: 10.3389/fpsyt.2023.1104222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/19/2023] [Indexed: 07/08/2023] Open
Abstract
Introduction Perinatal women tend to have difficulties with sleep along with autonomic characteristics. This study aimed to identify a machine learning algorithm capable of achieving high accuracy in predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability (HRV). Methods Nine HRV indicators (features) and sleep-wake conditions of 154 pregnant women were measured for 1 week, from the 23rd to the 32nd weeks of pregnancy. Ten machine learning and three deep learning methods were applied to predict three types of sleep-wake conditions (wake, shallow sleep, and deep sleep). In addition, the prediction of four conditions, in which the wake conditions before and after sleep were differentiated-shallow sleep, deep sleep, and the two types of wake conditions-was also tested. Results and Discussion In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine features, seven made major contributions to predicting sleep-wake conditions. Among the seven features, "the number of interval differences of successive RR intervals greater than 50 ms (NN50)" and "the proportion dividing NN50 by the total number of RR intervals (pNN50)" were useful to predict sleep-wake conditions unique to pregnancy. These findings suggest alterations in the vagal tone system specific to pregnancy.
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Affiliation(s)
- Xue Li
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Chiaki Ono
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Noriko Warita
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tomoka Shoji
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Takashi Nakagawa
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Hitomi Usukura
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Yuta Takahashi
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Kei Ichiji
- Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Norihiro Sugita
- Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai, Japan
| | | | - Saya Kikuchi
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Ryoko Kimura
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumiko Hamaie
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Mizuki Hino
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Yasuto Kunii
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Mami Ishikuro
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tomohiro Nakamura
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Fuji Nagami
- Department of Public Relations and Planning, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Takako Takai
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Soichi Ogishima
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Junichi Sugawara
- Department of Community Medical Supports, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masatoshi Saito
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Gen Tamiya
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Nobuo Fuse
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Susumu Fujii
- Department of Disaster Medical Informatics, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Masaharu Nakayama
- Department of Disaster Medical Informatics, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Disaster Public Health, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai, Japan
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Nobuo Yaegashi
- Department of Public Relations and Planning, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Noriyasu Homma
- Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
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62
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Aizawa M, Murakami K, Yonezawa Y, Takahashi I, Onuma T, Noda A, Ueno F, Matsuzaki F, Ishikuro M, Obara T, Kuriyama S. Associations between sugar-sweetened beverages before and during pregnancy and offspring overweight/obesity in Japanese women: the TMM BirThree Cohort Study. Public Health Nutr 2023; 26:1222-1229. [PMID: 36754389 PMCID: PMC10346008 DOI: 10.1017/s1368980023000307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/16/2022] [Accepted: 01/27/2023] [Indexed: 02/10/2023]
Abstract
OBJECTIVE The association between high sugar-sweetened beverages (SSB) intake during pregnancy and offspring overweight/obesity has been reported only from Western countries. The objective of this study was to examine the association between SSB intake before and during pregnancy and offspring overweight/obesity among Japanese women. DESIGN Japanese prospective birth cohort study. SETTING We analysed mother-offspring pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. SSB intake during pregnancy was evaluated using the FFQ and classified into three groups: none (0 g/d), medium (<195 g/d) and high (>195 g/d). Overweight or obesity at 1 year of age in offspring was defined as having a BMI Z-score greater than 2 sd, calculated based on the BMI reference data for Japanese children. Multiple logistic regression analyses were performed to examine the associations between SSB intake before and during pregnancy and offspring overweight/obesity, after adjusting for covariates. PARTICIPANTS Japanese mother-offspring pairs (n 7114). RESULTS The overweight/obesity rate of the offspring was 8·8 %. Pregnant women with a high intake of SSB in early to mid-pregnancy had a higher risk of overweight/obesity in their offspring compared with those who did not; the OR was 1·52 (95 % CI (1·09, 2·12)). CONCLUSIONS High SSB intake in early to mid-pregnancy was associated with an increased risk of offspring overweight/obesity at 1 year of age.
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Affiliation(s)
- Misato Aizawa
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
| | - Keiko Murakami
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Yudai Yonezawa
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Innovation Division, Kagome Co., Ltd., Nasushiobara-Shi, Tochigi, Japan
| | - Ippei Takahashi
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Aoba-Ku, Sendai, Miyagi, Japan
| | - Fumihiko Ueno
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Fumiko Matsuzaki
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Aoba-Ku, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi980-8573, Japan
- International Research Institute of Disaster Science, Tohoku University, Aoba-Ku, Sendai, Miyagi, Japan
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63
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Shinoda G, Nagaoka Y, Ueno F, Kurokawa N, Takahashi I, Onuma T, Noda A, Murakami K, Ishikuro M, Obara T, Metoki H, Sugawara J, Kuriyama S. Association between being Overweight in Young Childhood and during School Age and Puberty. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10050909. [PMID: 37238457 DOI: 10.3390/children10050909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/12/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023]
Abstract
To examine whether body type at birth, body weight, and obesity in early childhood are associated with overweight/obesity during school age and puberty. Data from maternal and child health handbooks, baby health checkup information, and school physical examination information of participants at birth and three-generation cohort studies were linked. Association between body type and body weight at different time intervals (at birth and at 1.5, 3.5, 6, 11, and 14 years of age) were comprehensively analyzed using a multivariate regression model adjusted for gender, maternal age at childbirth, maternal parity, and maternal body mass index, and drinking and smoking statuses at pregnancy confirmation. Children who are overweight in young childhood had a greater risk of being overweight. Particularly, overweight at one year of age during checkup was associated with overweight at 3.5 years (adjusted odds ratio (aOR), 13.42; 95% confidence interval (CI), 4.46-45.42), 6 years (aOR, 6.94; 95% CI, 1.64-33.46), and 11 years (aOR, 5.22; 95% CI, 1.25-24.79) of age. Therefore, being overweight in young childhood could increase the risk of being overweight and obese during school age and puberty. Early intervention in young childhood may be warranted to prevent obesity during school age and puberty.
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Affiliation(s)
- Genki Shinoda
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Yudai Nagaoka
- School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Fumihiko Ueno
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Naoyuki Kurokawa
- Graduate School of Education, Miyagi University of Education, 149 Aramaki-Aza-Aoba, Aoba-Ku, Sendai 980-0845, Japan
| | - Ippei Takahashi
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Tomomi Onuma
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Aoi Noda
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8574, Japan
| | - Keiko Murakami
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Mami Ishikuro
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
| | - Taku Obara
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8574, Japan
| | - Hirohito Metoki
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-Ku, Sendai 983-8536, Japan
| | - Junichi Sugawara
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8574, Japan
- Suzuki Memorial Hospital, 3-5-5, Satonomori, Iwanumashi 989-2481, Japan
| | - Shinichi Kuriyama
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai 980-8573, Japan
- International Research Institute of Disaster Science, Tohoku University, 468-1 Aramakiaoba, Aoba-Ku, Sendai 980-8572, Japan
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64
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Murakami K, Noda A, Ishikuro M, Obara T, Ueno F, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Maternal postnatal bonding disorder and developmental delays in children: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Arch Womens Ment Health 2023; 26:219-226. [PMID: 36809368 DOI: 10.1007/s00737-023-01298-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 02/02/2023] [Indexed: 02/23/2023]
Abstract
Although there is some evidence regarding an association between maternal bonding disorder and child development, studies have mainly focused on development during the period of infancy. We aimed to examine the associations between maternal postnatal bonding disorder and developmental delays in children beyond 2 years of age. We analyzed data from 8380 mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Maternal bonding disorder was defined as Mother-to-Infant Bonding Scale score of ≥5 at 1 month after delivery. The Ages & Stages Questionnaires, Third Edition, which consists of five developmental areas, was used to assess developmental delays in children at 2 and 3.5 years of age. Multiple logistic regression analyses were conducted to examine the associations between postnatal bonding disorder and developmental delays after adjustment for age, education, income, parity, feelings toward pregnancy, postnatal depressive symptoms, child's sex, preterm birth, and birth defects. Bonding disorder was associated with developmental delays in children at 2 and 3.5 years of age: the odds ratios (95% confidence intervals) were 1.55 (1.32-1.83) and 1.60 (1.34-1.90), respectively. Bonding disorder was associated with delay in communication only at 3.5 years of age. Bonding disorder was associated with delay in gross motor, fine motor, and problem solving, but not delay in the personal-social domain, at 2 and 3.5 years of age. In conclusion, maternal bonding disorder 1 month after delivery was associated with an increased risk of developmental delays in children beyond 2 years of age.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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Murakami K, Obara T, Ishikuro M, Ueno F, Noda A, Kuriyama S. Associations of Education and Income with Secondhand Smoke Exposure Among Non-smoking Pregnant Women in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Matern Child Health J 2023:10.1007/s10995-023-03648-x. [PMID: 36988795 DOI: 10.1007/s10995-023-03648-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2023] [Indexed: 03/30/2023]
Abstract
OBJECTIVES There is accumulating evidence that lower socioeconomic groups are more exposed to secondhand smoke (SHS) than higher ones in the general population. The objective of the study was to examine the associations of education and income with SHS exposure among non-smoking pregnant women in Japan. METHODS We analyzed data from 11,615 non-smoking pregnant women in Japan who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. SHS exposure was defined as indoor exposure to someone else's cigarette smoke ≥ 1 day/week during pregnancy. Multiple logistic regression analyses were conducted to examine whether pregnant women's educational attainment or equivalent household income was associated with SHS exposure, adjusting for covariates. Stratified analyses by work status were also conducted. RESULTS The prevalence of SHS exposure during pregnancy was 32.6%; 27.6% among non-working women and 35.8% among working women. Lower educational attainment was associated with an increased risk of SHS exposure; the odds ratio of high school education or lower compared with university education or higher was 1.87 (95% confidence interval, 1.66-2.10). Lower equivalent household income was associated with an increased risk of SHS exposure; the odds ratio of the lowest compared with the highest level of income was 1.53 (95% confidence interval, 1.35-1.74). These associations did not differ between non-working women and working women. CONCLUSIONS FOR PRACTICE Associations of education and income with SHS exposure imply that educational interventions and financial incentives are needed for pregnant women and their household smokers.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan.
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
- Department of Disaster Public Health, International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8573, Japan
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66
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Murakami K, Ishikuro M, Obara T, Noda A, Ueno F, Onuma T, Matsuzaki F, Takahashi I, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Maternal postnatal bonding disorder and emotional/behavioral problems in preschool children: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Affect Disord 2023; 325:582-587. [PMID: 36642309 DOI: 10.1016/j.jad.2023.01.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 01/15/2023]
Abstract
BACKGROUND Although there is evidence that maternal perinatal mental disorders are associated with emotional/behavioral problems in children, the long-term impacts of postnatal bonding disorder remain unclear. We aimed to examine the associations between maternal postnatal bonding disorder and emotional/behavioral problems in preschool children. METHODS We analyzed data from 7220 mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Maternal bonding disorder was defined as Mother-to-Infant Bonding Scale score ≥5 at 1 month after delivery. The Child Behavior Checklist for Ages 1½-5 was used to assess emotional/behavioral problems, and its subscales were used to assess internalizing and externalizing problems in children at 4 years of age. Multiple logistic regression analyses were conducted to examine the associations of postnatal bonding disorder with emotional/behavioral, internalizing, and externalizing problems after adjustment for age, education, income, parity, prenatal psychological distress, postnatal depressive symptoms, child's sex, preterm birth, and birth defects. RESULTS The prevalence of postnatal bonding disorder was 14.8 %. Postnatal bonding disorder was associated with an increased risk of emotional/behavioral problems in children: the odds ratio (OR) was 2.06 (95 % confidence interval [CI], 1.72-2.46). Postnatal bonding disorder was also associated with increased risks of internalizing problems and externalizing problems in children: the ORs were 1.69 (95 % CI, 1.42-2.02) and 1.90 (95 % CI, 1.59-2.26), respectively. LIMITATIONS Bonding and problems were self-reported. CONCLUSIONS Bonding disorder at 1 month after delivery was associated with an increased risk of emotional/behavioral problems in children at 4 years of age.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Ippei Takahashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
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Ishikuro M, Obara T, Murakami K, Ueno F, Noda A, Kikuya M, Sugawara J, Metoki H, Kuriyama S. Relation of Disaster Exposure With Maternal Characteristics and Obstetric Outcomes: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Epidemiol 2023; 33:127-135. [PMID: 34219121 PMCID: PMC9909171 DOI: 10.2188/jea.je20210052] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The present study analyzed the relation of disaster exposure prior to pregnancy with maternal characteristics and obstetric outcomes. METHODS The participants were 13,148 pregnant women recruited from 2013 to 2017. The women were classified into three groups by the severity of housing damage caused by the Great East Japan Earthquake of 2011: group A, house was not destroyed/did not live in the disaster area; group B, half/part of the house was destroyed; and group C, house was totally/mostly destroyed. Maternal characteristics, hypertensive disorders of pregnancy (HDP), gestational diabetes mellitus (GDM), and gestational weeks were obtained using questionnaires and medical records. Multiple logistic regression analyses were performed to investigate the relation between disaster exposure and maternal characteristics, HDP, and GDM. A structural equation model was applied to investigate the relation of disaster exposure with HDP and gestational weeks. RESULTS The homes of about 11% of the women were totally/mostly destroyed. For groups B and C compared with those in group A, the adjusted ORs for HDP were 1.04 and 1.26 (P for trend = 0.01), and for GDM were 0.89 and 1.14 (P for trend = 0.9), respectively. Pre-pregnancy body mass index (BMI) mediated 23.2% of the relation between disaster exposure and HDP. Disaster exposure was associated with gestational weeks. CONCLUSION Disaster exposure at least 2.5 years before pregnancy was found to be associated with maternal characteristics and the prevalence of HDP. Pre-pregnancy BMI mediated the relation between disaster exposure and the prevalence of HDP, and gestational weeks were reduced through HDP.
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Affiliation(s)
- Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine.,Tohoku University Hospital
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine.,Tohoku University Hospital
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University.,Teikyo University School of Medicine
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Hospital
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University.,Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University.,Tohoku University Graduate School of Medicine.,International Research Institute of Disaster Science, Tohoku University
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68
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Sato S, Yu Z, Sakai M, Motoike IN, Saigusa D, Hirayama R, Kikuchi Y, Abe T, Kinoshita K, Koshiba S, Tomita H. Decreased β-hydroxybutyrate and ketogenic amino acid levels in depressed human adults. Eur J Neurosci 2023; 57:1018-1032. [PMID: 36750311 DOI: 10.1111/ejn.15931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 01/24/2023] [Accepted: 01/29/2023] [Indexed: 02/09/2023]
Abstract
β-hydroxybutyrate (BHB) is a major ketone body synthesized mainly in the liver mitochondria and is associated with stress and severity of depression in humans. It is known to alleviate depressive-like behaviors in mouse models of depression. In this study, plasma BHB, ketogenic and glucogenic amino acids selected from the Tohoku Medical Megabank Project Community-Based Cohort Study were analysed and measured using nuclear magnetic resonance spectroscopy. The Center for Epidemiologic Studies Depression Scale (CES-D) was utilized to select adult participants with depressive symptoms (CES-D ≥ 16; n = 5722) and control participants (CES-D < 16; n = 18,150). We observed significantly reduced plasma BHB, leucine, and tryptophan levels in participants with depressive symptoms. Using social defeat stress (SDS) mice models, we found that BHB levels in mice sera increased after acute SDS, but showed no change after chronic SDS, which differed from human plasma results. Furthermore, acute SDS increased mitochondrial BHB levels in the prefrontal cortex at 6 h. In contrast, chronic SDS significantly increased the amount of food intake but reduced hepatic mitochondrial BHB levels in mice. Moreover, gene transcriptions of voltage-dependent anion-selective channel 1 (Vdac1) and monocarboxylic acid transporter 1 (Mct1), major molecules relevant to mitochondrial biogenesis and BHB transporter, significantly decreased in the liver and PFC after chronic SDS exposure. These results provide evidence that hepatic and prefrontal mitochondrial biogenesis plays an important role in BHB synthesis under chronic stress and in humans with depressive symptoms.
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Affiliation(s)
- Shiho Sato
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Mai Sakai
- Department of Psychiatric Nursing, Graduate School of Health Science, Tohoku University, Sendai, Japan
| | - Ikuko N Motoike
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of System Bioinformatics, Tohoku University Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Daisuke Saigusa
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryo Hirayama
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yoshie Kikuchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Takaaki Abe
- Department of Biomedical Engineering Regenerative and Biomedical Engineering Medical Science, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of System Bioinformatics, Tohoku University Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Seizo Koshiba
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
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69
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CFH-CFHR1 hybrid genes in two cases of atypical hemolytic uremic syndrome. J Hum Genet 2023; 68:427-430. [PMID: 36755127 DOI: 10.1038/s10038-023-01129-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/10/2023]
Abstract
Atypical hemolytic uremic syndrome (aHUS) is a rare complement-mediated disease that manifests as the triad of thrombotic microangiopathy. We identified two aHUS patients with neither anti-complement factor H (CFH) antibodies nor causative variants of seven aHUS-related genes (CFH, CFI, CFB, C3, MCP, THBD, and DGKE); however, their plasma showed increased levels of hemolysis by hemolytic assay, which strongly suggests CFH-related abnormalities. Using a copy number variation (CNV) analysis of the CFH/CFHR gene cluster, we identified CFH-CFHR1 hybrid genes in these patients. We verified the absence of aHUS-related abnormal CNVs of the CFH gene in control genomes of 2036 individuals in the general population, which suggests that pathogenicity is related to these hybrid genes. Our study emphasizes that, for patients suspected of having aHUS, it is important to perform an integrated analysis based on a clinical examination, functional analysis, and detailed genetic investigation.
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70
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Takahashi I, Obara T, Kikuchi S, Kobayashi M, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Matsuzaki F, Kobayashi N, Hamada H, Iwama N, Saito M, Sugawara J, Tomita H, Kure S, Yaegashi N, Kuriyama S. Association between maternal psychological distress and children's neurodevelopment in offspring aged 4 years in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Paediatr Child Health 2023; 59:548-554. [PMID: 36751990 DOI: 10.1111/jpc.16353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 01/09/2023] [Accepted: 01/22/2023] [Indexed: 02/09/2023]
Abstract
AIM An association between maternal psychological distress and children's development has been reported, but reports from Japan are limited. This study aimed to examine the association of maternal psychological distress with children's neurodevelopment in Japan. METHODS The study assessed data of 7646 mother-infant pairs in the Japanese population. We used Kessler Psychological Distress Scale, a screening tool for psychological distress, to assess maternal psychological distress in early pregnancy and 2 years postpartum and divided it into four categories: none in both the pre-natal and post-natal periods, only the pre-natal period, only the post-natal period and both the pre-natal and post-natal periods. Children's neurodevelopment was assessed using the Ages & Stages Questionnaires Third Edition (ASQ-3) at 4 years of age. ASQ-3 comprises five domains (communication, gross motor, fine motor, problem solving and personal-social), and the score of less than -2 standard deviation relative to the mean in reference was defined as having developmental delay. We conducted multivariate logistic regression analysis to examine the association between maternal psychological distress and children's neurodevelopment. RESULTS The prevalence of developmental delay of communication, gross motor, fine motor, problem solving and personal-social were 4.0%, 4.3%, 4.9%, 3.8% and 4.6%, respectively. Maternal psychological distress in only the postpartum period and both pre-natal and postpartum periods were associated with risks of developmental delay in all domains. Maternal psychological distress in only the pre-natal period was associated with developmental delay in communication. CONCLUSIONS Maternal psychological distress is associated with risks of children's developmental delay.
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Affiliation(s)
- Ippei Takahashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Mika Kobayashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumihiko Ueno
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Tomomi Onuma
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumiko Matsuzaki
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Noriyuki Iwama
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Junichi Sugawara
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Shigeo Kure
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Nobuo Yaegashi
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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71
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Obara T, Ishikuro M, Ueno F, Noda A, Murakami K, Kuriyama S. Antihypertensive drug use during pregnancy in Japan. Hypertens Res 2023; 46:548-549. [PMID: 36460830 DOI: 10.1038/s41440-022-01101-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/26/2022] [Indexed: 12/03/2022]
Affiliation(s)
- Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan. .,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan. .,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan.
| | - Mami Ishikuro
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Fumihiko Ueno
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Aoi Noda
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Keiko Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan.,International Research Institute of Disaster Science, Sendai, Japan
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72
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Combination of genetic and environmental factors for childhood hypertension: a simple indicator of family history remains useful. Hypertens Res 2023; 46:1061-1063. [PMID: 36697874 DOI: 10.1038/s41440-022-01165-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 12/12/2022] [Indexed: 01/26/2023]
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73
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Kobayashi T, Kobayashi M, Minegishi N, Kikuya M, Obara T, Ishikuro M, Yamanaka C, Onuma T, Murakami K, Ueno F, Noda A, Uruno A, Sugawara J, Suzuki K, Kodama EN, Hamanaka Y, Tsuchiya N, Kogure M, Nakaya N, Taira M, Sakurai-Yageta M, Tamahara T, Kawashima J, Goto M, Otsuki A, Shimizu R, Ogishima S, Hashizume H, Nagami F, Nakamura T, Hozawa A, Kobayashi T, Fuse N, Kuriyama S, Kure S, Yamamoto M. Design and Progress of Child Health Assessments at Community Support Centers in the Birth and Three-Generation Cohort Study of the Tohoku Medical Megabank Project. TOHOKU J EXP MED 2023; 259:93-105. [PMID: 36450480 DOI: 10.1620/tjem.2022.j103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The Tohoku Medical Megabank Project (TMM) has been conducting a birth and three-generation cohort study (the BirThree Cohort Study). We recruited 73,529 pregnant women and their family members for this cohort study, which included 23,143 newborns and 9,459 of their siblings. We designed and are in the process of conducting three-step health assessments for each newborn at approximately ages of 5, 10 and 16. These health assessments are administered at seven community support centers. Trained genome medical research coordinators conduct physical examinations of and collect biological specimens from each participant. The Sendai Children's Health Square has been established as the headquarters for these child health assessments and is utilized to accumulate knowledge that can facilitate the proper practice of child health assessments. We designed all the relevant health assessments facilities to allow parents and their children to participate in the health assessments concomitantly. Our centers serve as places where child participants and their parents can feel at ease as a result of the implementation of safety measures and child hospitality measures. The TMM BirThree Cohort Study is in the process of conducting strategically detailed health assessments and genome analysis, which can facilitate studies concerning the gene-environment interactions relevant to noncommunicable diseases. Through these operations, our study allows for a significant depth of data to be collected in terms of the number of biospecimens under study and the comprehensiveness of both basic and clinical data alongside relevant family information.
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Affiliation(s)
- Tomoko Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Mika Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | | | | | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University
| | | | | | - Eiichi N Kodama
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | | | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University
| | - Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University
| | - Makiko Taira
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Toru Tamahara
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Maki Goto
- Tohoku Medical Megabank Organization, Tohoku University
| | | | | | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
| | | | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University
| | | | | | | | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University.,Graduate School of Medicine, Tohoku University.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
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74
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Machida T, Obara T, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Matsuzaki F, Inoue J, Kuriyama S, Mano N. Liver steatosis and fibrosis markers' association with cardiovascular and renal damage in Japanese adults: the TMM BirThree cohort study. Ann Hepatol 2023; 28:100761. [PMID: 36179796 DOI: 10.1016/j.aohep.2022.100761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 09/05/2022] [Accepted: 09/18/2022] [Indexed: 02/04/2023]
Abstract
INTRODUCTION AND OBJECTIVES Patients with non-alcoholic fatty liver disease (NAFLD) are at risk for cardiovascular and chronic kidney diseases. Liver steatosis and fibrosis were assessed using the fatty liver index and fibrosis-4 index, respectively. This study aimed to examine the association between these two parameters in patients with atherosclerosis and chronic kidney disease. MATERIALS AND METHODS The two parameters were calculated for 11,867 adults who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Intima-media thickness and estimated glomerular filtration rate were also measured. Logistic regression models were used to estimate the odds ratios (OR). RESULTS Overall, 4257 (35.9%) and 4733 (39.9%) participants had a higher probability of liver steatosis and fibrosis, respectively. The adjusted OR of higher fatty liver index compared to lower fatty liver index for atherosclerosis and chronic kidney disease were 0.98 (95% confidence interval [CI], 0.77-1.24) and 1.79 (95% CI, 1.19-2.69), and those of higher FIB-4 compared to lower FIB-4 were 1.03 (95% CI, 0.82-1.30) and 0.79 (95% CI, 0.52-1.19) for atherosclerosis and chronic kidney disease, respectively. CONCLUSIONS A higher FLI was associated with CKD independent of other risk factors. Further research is required to identify the causal relationship between liver fat accumulation and CKD.
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Affiliation(s)
- Toshiya Machida
- Laboratory of Clinical Pharmacy, Tohoku University Graduate School of Pharmaceutical Sciences, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Taku Obara
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan.
| | - Mami Ishikuro
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Keiko Murakami
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Fumihiko Ueno
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Aoi Noda
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Tomomi Onuma
- Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Fumiko Matsuzaki
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Jun Inoue
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Shinichi Kuriyama
- Department of Molecular Epidemiology, Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Nariyasu Mano
- Laboratory of Clinical Pharmacy, Tohoku University Graduate School of Pharmaceutical Sciences, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan; Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
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75
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Murakami K, Ishikuro M, Obara T, Ueno F, Noda A, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Traumatic experiences of the Great East Japan Earthquake and postpartum depressive symptoms: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Affect Disord 2023; 320:461-467. [PMID: 36191647 DOI: 10.1016/j.jad.2022.09.139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 09/21/2022] [Accepted: 09/27/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Natural disasters can have serious mental health consequences. We aimed to examine the long-term effects of the 2011 Great East Japan Earthquake (GEJE) on postpartum depressive symptoms (PDS). METHODS The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study recruited pregnant women in Miyagi Prefecture from 2013 to 2016. Data from 11,403 participants were used in this study. Women were asked about their traumatic experiences of the GEJE with questions addressing threat, witness, and loss. PDS were defined as Edinburgh Postnatal Depression Scale score ≥9 at 1 month after delivery. Multiple logistic regression analyses were conducted to examine the associations of different traumatic experiences of the GEJE and number of traumatic experiences with PDS, after adjustment for age, parity, feelings toward pregnancy, education, income, social isolation, house damage caused by the GEJE, and survey year. RESULTS About two-fifths of women had at least one traumatic experience of the GEJE. The prevalence of PDS at 1 month after delivery was 13.3 %. Life-threatening experience and witnessing another person's actual or threatened death were associated with PDS: the odds ratios (ORs) were 1.40 (95 % confidence interval [CI], 1.24-1.59) and 1.28 (95 % CI, 1.08-1.53), respectively. Loss of close person was not associated with PDS: the OR was 1.13 (95 % CI, 0.99-1.30). Larger number of traumatic experiences of the GEJE was associated with increased risk of PDS (p for trend <0.001). LIMITATIONS PDS was self-reported. CONCLUSIONS Traumatic experiences of the GEJE prior to pregnancy were associated with increased risks of PDS.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan; Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
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76
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Ohneda K, Hamanaka Y, Kawame H, Fuse N, Nagami F, Suzuki Y, Yamaguchi-Kabata Y, Shimada M, Masamune A, Aoki Y, Ishida T, Yamamoto M. Returning individual genomic results to population-based cohort study participants with BRCA1/2 pathogenic variants. Breast Cancer 2023; 30:110-120. [PMID: 36161580 DOI: 10.1007/s12282-022-01404-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/14/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Recent advances in human genome research have provided evidence for genotype-phenotype associations, pathogenicity, and clinical actionability of variants and genomic risk prediction of disease. However, the return of individual genomic results to healthy individuals is fraught with ethical and practical complexity. METHODS Individual genomic results were returned to BRCA1/2 pathogenic variant (PV) carriers of the Tohoku Medical Megabank cohort study participants with an information on hereditary breast and ovarian cancer syndrome (HBOC). One hundred and eighty participants, including 9 BRCA1/2 PV carriers, were asked about their willingness to receive individual genomic results, without revealing the gene name and related disorders, prior to the study. Of the 142 participants who responded, 103 showed willingness to know their genomic information. Each of the six BRCA1/2 PV carriers who consented to participate in the study received information about HBOC in person and underwent validation testing with blood resampling. RESULTS All participants were in their 60s or 70s; of the four females and two males, two had a history of breast cancer and five had a family history of HBOC-related cancers. All participants appreciated the information, without remarkable negative psychological impact of the return, and intended to undergo clinical risk surveillance. Five participants were accompanied by family members while receiving the results, and three first-degree female relatives wished to undergo genomic testing at the hospital. CONCLUSIONS Our results suggest that returning actionable genomic information to participants in a population-based genome cohort study is beneficial for preventing or providing early-stage intervention for associated diseases.
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Affiliation(s)
- Kinuko Ohneda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
| | - Yohei Hamanaka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hiroshi Kawame
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Department of Clinical Genetics, Jikei University Hospital, Tokyo, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Yoichi Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Department of Clinical Genetics, Ageo Central General Hospital, Ageo, Saitama, Japan
| | - Yumi Yamaguchi-Kabata
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Muneaki Shimada
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi, Japan
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Atsushi Masamune
- Department of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Yoko Aoki
- Department of Medical Genetics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Takanori Ishida
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Miyagi, Japan.
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Ohseto H, Ishikuro M, Obara T, Murakami K, Onuma T, Noda A, Takahashi I, Matsuzaki F, Ueno F, Iwama N, Kikuya M, Metoki H, Sugawara J, Kuriyama S. Dietary calcium intake was related to the onset of pre-eclampsia: The TMM BirThree Cohort Study. J Clin Hypertens (Greenwich) 2022; 25:61-70. [PMID: 36579409 PMCID: PMC9832228 DOI: 10.1111/jch.14606] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/12/2022] [Accepted: 11/15/2022] [Indexed: 12/30/2022]
Abstract
This study aimed to explore the relationship between dietary electrolyte intake and the prevalence of hypertensive disorders of pregnancy (HDP) subtypes. Our analysis included 19 914 pregnant women from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. A food frequency questionnaire was used to estimate dietary calcium, potassium, sodium, and magnesium intakes. HDP was determined based on the medical records during regular antenatal care. Logistic regression analysis assessed the relationship between dietary electrolytes intake quintiles, and HDP subtypes with adjustment for basic characteristics. Dietary electrolyte intakes were applied for the prediction model. Of the cohort, 547 participants delivered with pre-eclampsia (PE), 278 with superimposed PE (SP), and 896 with gestational hypertension (GH). PE was associated with low crude calcium intake (odds ratio of the first quintile [<251 mg/day] to the fifth quintile [>623 mg/day] and 95% confidence interval, 1.31 [1.00-1.70]) and P for trend was .02. SP was not associated with any nutritional intake; however, the combined outcome of PE and SP was related to low crude calcium and potassium and energy-adjusted calcium, potassium, and magnesium intakes (P for trend, .01, .048, .02, .04, and .02, respectively). The same tendency was observed for GH. A prediction model that included crude calcium and potassium intakes performed better than a model without them. In conclusion, low dietary calcium, potassium, and magnesium were associated with higher HDP subtypes prevalence. The prediction model implied that crude calcium and potassium intakes might play a critical role in PE and SP pathogenesis.
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Affiliation(s)
- Hisashi Ohseto
- Tohoku University Graduate School of MedicineSendaiJapan
| | - Mami Ishikuro
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Taku Obara
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Tohoku University HospitalSendaiJapan
| | - Keiko Murakami
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Tomomi Onuma
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Aoi Noda
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Tohoku University HospitalSendaiJapan
| | | | - Fumiko Matsuzaki
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Fumihiko Ueno
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan
| | - Noriyuki Iwama
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Tohoku University HospitalSendaiJapan
| | - Masahiro Kikuya
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Teikyo University School of MedicineTokyoJapan
| | - Hirohito Metoki
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Faculty of MedicineTohoku Medical and Pharmaceutical UniversitySendaiJapan
| | - Junichi Sugawara
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,Tohoku University HospitalSendaiJapan
| | - Shinichi Kuriyama
- Tohoku University Graduate School of MedicineSendaiJapan,Tohoku Medical Megabank OrganizationTohoku UniversitySendaiJapan,International Research Institute of Disaster ScienceTohoku UniversitySendaiJapan
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78
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Murakami K, Ishikuro M, Obara T, Ueno F, Noda A, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Social isolation and insomnia among pregnant women in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Sleep Health 2022; 8:714-720. [PMID: 36229360 DOI: 10.1016/j.sleh.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/25/2022] [Accepted: 08/23/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVES To estimate the prevalence of insomnia and examine the association between social isolation and insomnia among pregnant women. METHODS This cross-sectional study was part of the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. Pregnant women were recruited at obstetric clinics and hospitals in Miyagi Prefecture, Japan. We analyzed 17,586 women who completed the questionnaires and were allowed to transcribe medical records. Insomnia was defined as the Athens Insomnia Scale score of ≥6. The Lubben Social Network Scale-abbreviated version was used to assess social isolation (defined as scores <12), and its subscales were used to assess marginal family ties and marginal friendship ties. Multiple logistic regression analyses were conducted to examine the association between social isolation and insomnia during pregnancy, adjusting for age, parity, prepregnancy body mass index, feelings toward pregnancy, education, income, work status, morning sickness, and psychological distress. Multiple logistic regression analyses were also conducted for marginal family ties and marginal friendship ties. RESULTS The prevalence of insomnia in the second trimester was 37.3%. Women who were socially isolated were more likely to have insomnia than women who were socially integrated: the multivariate-adjusted odds ratio (OR) was 1.26 (95% confidence interval [CI], 1.16-1.36). Marginal family ties and marginal friendship ties were also associated with increased risks of insomnia: the multivariate-adjusted ORs were 1.40 (95% CI, 1.25-1.56) and 1.15 (95% CI, 1.07-1.24), respectively. CONCLUSIONS Social isolation from family and friends was associated with increased risks of insomnia among pregnant women.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Teikyo University School of Medicine, Tokyo, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan; International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan; International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
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79
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Murakami K, Ishikuro M, Obara T, Ueno F, Noda A, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Kikuya M, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Social isolation and postnatal bonding disorder in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Arch Womens Ment Health 2022; 25:1079-1086. [PMID: 36114927 DOI: 10.1007/s00737-022-01266-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 09/09/2022] [Indexed: 12/14/2022]
Abstract
Although there is substantial information about the effects of social relationships on mental health, their effects on postnatal bonding remain unclear. We aimed to examine the association between social isolation and postnatal bonding disorder. We analyzed data from 17,999 women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. An abbreviated version of the Lubben Social Network Scale was used to assess social isolation in the second trimester of pregnancy, and its subscales were used to assess marginal family ties and marginal friendship ties. Bonding disorder was defined as a Mother-to-Infant Bonding Scale score of ≥ 5 1 month after delivery. Multiple logistic regression analyses were conducted to examine the association between social isolation and postnatal bonding disorder after adjusting for age at delivery, parity, feelings towards pregnancy, psychological distress during pregnancy, and household income. Analyses stratified by postnatal depressive symptoms (PDS) were also conducted. Social isolation was associated with postnatal bonding disorder: the odds ratio (OR) was 1.55 (95% confidence interval [CI], 1.41-1.71). Marginal family ties and friendship ties were associated with postnatal bonding disorder: the ORs were 1.40 (95% CI, 1.23-1.60) and 1.44 (95% CI, 1.32-1.57), respectively. Marginal family ties were associated with postnatal bonding disorder only among women without PDS: the ORs were 1.30 (95% CI, 1.10-1.55) among women without PDS and 1.13 (95% CI, 0.91-1.40) among women with PDS. Social isolation during pregnancy was associated with an increased risk of postnatal bonding disorder.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan. .,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.,International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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80
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Yu Z, Matsukawa N, Saigusa D, Motoike IN, Ono C, Okamura Y, Onuma T, Takahashi Y, Sakai M, Kudo H, Obara T, Murakami K, Shirota M, Kikuchi S, Kobayashi N, Kikuchi Y, Sugawara J, Minegishi N, Ogishima S, Kinoshita K, Yamamoto M, Yaegashi N, Kuriyama S, Koshiba S, Tomita H. Plasma metabolic disturbances during pregnancy and postpartum in women with depression. iScience 2022; 25:105666. [PMID: 36505921 PMCID: PMC9732390 DOI: 10.1016/j.isci.2022.105666] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 08/17/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022] Open
Abstract
Examining plasma metabolic profiling during pregnancy and postpartum could help clinicians understand the risk factors for postpartum depression (PPD) development. This analysis targeted paired plasma metabolites in mid-late gestational and 1 month postpartum periods in women with (n = 209) or without (n = 222) PPD. Gas chromatogram-mass spectrometry was used to analyze plasma metabolites at these two time points. Among the 170 objected plasma metabolites, principal component analysis distinguished pregnancy and postpartum metabolites but failed to discriminate women with and without PPD. Compared to women without PPD, those with PPD exhibited 37 metabolites with disparate changes during pregnancy and the 1-month postpartum period and an enriched citrate cycle. Machine learning and multivariate statistical analysis identified two or three compounds that could be potential biomarkers for PPD prediction during pregnancy. Our findings suggest metabolic disturbances in women with depression and may help to elucidate metabolic processes associated with PPD development.
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Affiliation(s)
- Zhiqian Yu
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Corresponding author
| | - Naomi Matsukawa
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Daisuke Saigusa
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Laboratory of Biomedical and Analytical Sciences, Faculty of Pharma-Science, Teikyo University
| | - Ikuko N. Motoike
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of System Bioinformatics, Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Chiaki Ono
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yasunobu Okamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Innovations in Next-Generation Medicine, Advanced Research Center, Tohoku University, Sendai, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yuta Takahashi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Mai Sakai
- Department of Disaster Psychiatry, International Research Institute for Disaster Science, Tohoku University, Sendai, Japan
| | - Hisaaki Kudo
- Department of Biobank Life Science, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Matusyuki Shirota
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Saya Kikuchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Natsuko Kobayashi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yoshie Kikuchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoko Minegishi
- Department of Biobank Life Science, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of System Bioinformatics, Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of Gynecology and Obstetrics, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Division of Disaster Public Health, International Research Institute for Disaster Science, Tohoku University, Sendai, Japan
| | - Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan,Department of Disaster Psychiatry, International Research Institute for Disaster Science, Tohoku University, Sendai, Japan
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81
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Aizawa M, Murakami K, Takahashi I, Onuma T, Noda A, Ueno F, Matsuzaki F, Ishikuro M, Obara T, Hamada H, Iwama N, Saito M, Sugawara J, Yaegashi N, Kuriyama S. Skipping breakfast during pregnancy and hypertensive disorders of pregnancy in Japanese women: the Tohoku medical megabank project birth and three-generation cohort study. Nutr J 2022; 21:71. [PMID: 36397086 PMCID: PMC9670553 DOI: 10.1186/s12937-022-00822-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 11/08/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Hypertensive disorders of pregnancy (HDP) adversely affect the prognosis of mother and child, and the prognosis depends on the subtype of HDP. Skipping breakfast may be associated with increased blood pressure due to disruption of the circadian clock, but the association with the development of HDP has not been studied. The purpose of this study was to examine the association between skipping breakfast and the development of HDP and HDP subtypes in Japanese pregnant women. METHODS Of the pregnant women who participated in the Tohoku Medical Megabank Project Three-Generation Cohort Study, 18,839 who answered the required questions were included in the analysis. This study had a cross-sectional design. The breakfast intake frequency from pre-pregnancy to early pregnancy was classified into four groups: daily, 5-6 times per week, 3-4 times per week, and 0-2 times per week. HDP was classified into gestational hypertension (GH), chronic hypertension (CH), preeclampsia (PE), and severe preeclampsia (SuPE). Multiple logistic regression analysis and multinomial logistic analysis were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for breakfast intake frequency and development of HDP or HDP subtypes. We performed a stratified analysis based on energy intake. RESULTS Of the participants, 74.3% consumed breakfast daily, and 11.1% developed HDP. Women who consumed breakfast 0-2 times per week had a higher risk of HDP (OR: 1.33, 95% CI: 1.14-1.56), CH (OR: 1.63, 95% CI: 1.21-2.19), and PE (OR: 1.68, 95% CI: 1.27-2.21) than those who consumed breakfast daily. No association was found between skipping breakfast and the risk of developing GH (OR: 1.26, 95% CI: 0.99-1.61) and SuPE (OR: 0.91, 95% CI: 0.55-1.49). Stratified analysis showed that the risk of developing HDP due to skipping breakfast was highest in the group with the highest daily energy intake. CONCLUSIONS Skipping breakfast during pre-to early pregnancy is associated with the development of HDP. Further longitudinal studies are required to clarify the causal association between skipping breakfast and HDP.
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Affiliation(s)
- Misato Aizawa
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ippei Takahashi
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Tomomi Onuma
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Aoi Noda
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Fumihiko Ueno
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumiko Matsuzaki
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Hirotaka Hamada
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Noriyuki Iwama
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Masatoshi Saito
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Junichi Sugawara
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Nobuo Yaegashi
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Shinichi Kuriyama
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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82
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Takahashi I, Murakami K, Kobayashi M, Kikuchi S, Igarashi A, Obara T, Ishikuro M, Ueno F, Noda A, Onuma T, Matsuzaki F, Kobayashi N, Hamada H, Iwama N, Saito M, Sugawara J, Tomita H, Yaegashi N, Kure S, Kuriyama S. Association of maternal psychological distress and the use of childcare facilities with children's behavioral problems: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. BMC Psychiatry 2022; 22:693. [PMID: 36357866 PMCID: PMC9650864 DOI: 10.1186/s12888-022-04330-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 10/21/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Childcare facilities are a factor that lowers the established association of mother's postnatal psychiatric symptoms with children's behavioral problems. However, no studies have considered the prenatal psychiatric symptoms yet. This study examined whether the use of childcare facilities moderates the association of maternal psychological distress in early pregnancy and at two years postpartum with behavioral problems in children aged four years. METHODS The present study was based on the data from 23,130 mother-child pairs participating in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. K6 was used to classify maternal psychological distress in early pregnancy and at two years postpartum into four categories: none in both prenatal and postnatal periods (none), only the prenatal period (prenatal only); only the postnatal period (postnatal only); both prenatal and postnatal periods (both). The children's behavioral problems were assessed using the Child Behavior Checklist for Ages 1½-5 (CBCL) aged four years. The clinical range of the externalizing, internalizing, and total problem scales of the CBCL was defined as having behavioral problems. To examine whether availing childcare facilities moderates the association between maternal psychological distress and children's behavioral problems, we conducted a stratified analysis based on the use of childcare facilities or not, at two years of age. The interaction term between maternal psychological distress and use of childcare facilities was included as a covariate in the multivariate logistic regression analysis to confirm the p-value for the interaction. RESULTS The prevalence of the clinical ranges of externalizing problems, internalizing problems, and clinical range of total problems were 13.7%, 15.4%, and 5.8%, respectively. The association of maternal psychological distress with a high risk of children's behavioral problems was significant; however, the association between prenatal only psychological distress and externalizing problems in the group that did not use childcare facilities was not significant. Interactions between the use of childcare facilities and maternal psychological distress on behavioral problems in children were not significant. CONCLUSIONS Use of childcare facilities did not moderate the association of maternal psychological distress in early pregnancy and at two years postpartum with behavioral problems in children aged four years.
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Affiliation(s)
- Ippei Takahashi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keiko Murakami
- Tohoku University Graduate School of Medicine, Sendai, Japan. .,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573, Japan.
| | - Mika Kobayashi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Saya Kikuchi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Ayaka Igarashi
- grid.69566.3a0000 0001 2248 6943Tohoku University School of Medicine, Sendai, Japan
| | - Taku Obara
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Mami Ishikuro
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Fumihiko Ueno
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Aoi Noda
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Tomomi Onuma
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Fumiko Matsuzaki
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Natsuko Kobayashi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Hirotaka Hamada
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Noriyuki Iwama
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Masatoshi Saito
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Junichi Sugawara
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Hiroaki Tomita
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Psychiatry, Tohoku University Hospital, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Nobuo Yaegashi
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.412757.20000 0004 0641 778XDepartment of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Japan
| | - Shigeo Kure
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan
| | - Shinichi Kuriyama
- grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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83
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Otsuki A, Okamura Y, Ishida N, Tadaka S, Takayama J, Kumada K, Kawashima J, Taguchi K, Minegishi N, Kuriyama S, Tamiya G, Kinoshita K, Katsuoka F, Yamamoto M. Construction of a trio-based structural variation panel utilizing activated T lymphocytes and long-read sequencing technology. Commun Biol 2022; 5:991. [PMID: 36127505 PMCID: PMC9489684 DOI: 10.1038/s42003-022-03953-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 09/06/2022] [Indexed: 11/13/2022] Open
Abstract
Long-read sequencing technology enable better characterization of structural variants (SVs). To adapt the technology to population-scale analyses, one critical issue is to obtain sufficient amount of high-molecular-weight genomic DNA. Here, we propose utilizing activated T lymphocytes, which can be established efficiently in a biobank to stably supply high-grade genomic DNA sufficiently. We conducted nanopore sequencing of 333 individuals constituting 111 trios with high-coverage long-read sequencing data (depth 22.2x, N50 of 25.8 kb) and identified 74,201 SVs. Our trio-based analysis revealed that more than 95% of the SVs were concordant with Mendelian inheritance. We also identified SVs associated with clinical phenotypes, all of which appear to be stably transmitted from parents to offspring. Our data provide a catalog of SVs in the general Japanese population, and the applied approach using the activated T-lymphocyte resource will contribute to biobank-based human genetic studies focusing on SVs at the population scale. Long-read sequencing on activated T-cells from a sample of 333 Japanese individuals (representing 111 parent-offspring trios) provides a useful reference dataset of structural variation in the Japanese population.
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Affiliation(s)
- Akihito Otsuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Yasunobu Okamura
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Noriko Ishida
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Shu Tadaka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Jun Takayama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building 15 F, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan.,Department of AI and Innovative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Junko Kawashima
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Keiko Taguchi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building 15 F, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan.,Department of AI and Innovative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki Aza-Aoba, Aoba-ku, Sendai, Miyagi, 980-8579, Japan
| | - Fumiki Katsuoka
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan. .,Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan. .,Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
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84
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Yamashita T, Obara T, Yonezawa Y, Takahashi I, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Iwama N, Hamada H, Sugawara J, Suzuki S, Suganuma H, Saito M, Yaegashi N, Kuriyama S. Dietary patterns before and during pregnancy and small for gestational age in Japan: a prospective birth cohort study. Nutr J 2022; 21:57. [PMID: 36114492 PMCID: PMC9479276 DOI: 10.1186/s12937-022-00808-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 08/30/2022] [Indexed: 11/13/2022] Open
Abstract
Background Although small for gestational age (SGA) is a serious problem worldwide, the association of dietary patterns before and during pregnancy with SGA risk is unclear. We evaluated this association among Japanese pregnant women using three methods: reduced rank regression (RRR) and partial least squares (PLS), methods for extracting dietary patterns that can explain the variation of response variables, and principal component analysis (PCA), a method for extracting dietary patterns of the population. Methods Between July 2013 and March 2017, 22,493 pregnant women were recruited to the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study, a population-based prospective birth cohort study in Japan. Information on dietary intake was obtained using food frequency questionnaires, and dietary patterns were extracted using RRR, PLS, and PCA. Information on birth weight was obtained from obstetric records, and the birth weight SD score and SGA were defined by the method of the Japan Pediatric Society. The associations of dietary patterns with birth weight SD score and SGA risk were investigated using multiple linear regression and multiple logistic regression, respectively. Results A total of 17,728 mother-child pairs were included. The birth weight SD score was 0.15 ± 0.96, and the prevalence of SGA was 6.3%. The dietary patterns extracted by RRR and PLS were similar and characterized by a high intake of cereals and fruits and a low intake of alcoholic and non-alcoholic beverages in both pre- to early pregnancy and from early to mid-pregnancy. Higher adoption of the RRR and PLS patterns in both periods was associated with an increased birth weight SD score and lower risk of SGA. In contrast, the PCA1 pattern was not associated with birth weight SD score or SGA risk in either period. Although the PCA2 pattern was associated with increased birth weight SD score from early to mid-pregnancy, no other associations with birth weight SD score or SGA risk were observed. Conclusions The dietary pattern with a high intake of cereals and fruits and a low intake of alcoholic and non-alcoholic beverages before and during pregnancy was associated with a decreased SGA risk in Japan. Supplementary Information The online version contains supplementary material available at 10.1186/s12937-022-00808-7.
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85
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Ohseto H, Ishikuro M, Obara T, Murakami K, Onuma T, Noda A, Ueno F, Iwama N, Kikuya M, Metoki H, Sugawara J, Kuriyama S. Preeclampsia prediction model using the dipstick test for proteinuria during early gestation. HYPERTENSION RESEARCH IN PREGNANCY 2022. [DOI: 10.14390/jsshp.hrp2022-002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | - Taku Obara
- Tohoku University Graduate School of Medicine,
| | | | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University,
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University,
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University,
| | | | | | - Hirohito Metoki
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University,
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86
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Noda A, Ishikuro M, Obara T, Murakami K, Ueno F, Matsuzaki F, Onuma T, Watanabe Z, Shiga N, Iwama N, Hirotaka H, Otsuka T, Tachibana M, Tomita H, Saito M, Sugawara J, Kure S, Yaegashi N, Kuriyama S. Association between maternal infertility treatment and child neurodevelopment: findings from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Miyagi and Iwate Prefectures, Japan. BMJ Open 2022; 12:e060944. [PMID: 35672073 PMCID: PMC9174802 DOI: 10.1136/bmjopen-2022-060944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES This study aimed to examine the association between infertility treatment and neurodevelopment in children at 2 and 3.5 years of age. DESIGN Prospective cohort study. SETTING AND PARTICIPANTS The study population consisted of mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Miyagi and Iwate Prefectures, Japan. Pregnant women were recruited in obstetric clinics or hospitals and their children were followed up by the questionnaire. OUTCOME MEASURES The children's neurodevelopmental outcomes were assessed at 2 and 3.5 years of age using the Ages and Stages Questionnaire, third edition (ASQ-3), which consists of questions on five developmental domains. We performed a multivariate logistic regression analysis of the association between infertility treatment (including ovulation induction (OI), artificial insemination with husband's sperm (AIH) and assisted reproductive technology (ART)) and the clinical range of ASQ-3. RESULTS Of 9655 mother-child pairs, 273 (2.8%) and 487 (5.0%) were conceived through OI/AIH and ART, respectively. The odds of having developmental delays at 2 years of age were higher in children conceived through OI/AIH (OR, 1.36; 95% CI 1.00 to 1.85) and ART (OR, 1.36; 95% CI 1.07 to 1.72) than in those conceived naturally. Additionally, OI/AIH and ART were significantly associated with communication (OR, 1.93; 95% CI 1.25 to 2.98) and gross motor (OR, 1.50; 95% CI 1.08 to 2.09) delays, respectively. There were no statistically significant differences in the odds of having developmental delays at 3.5 years of age in children conceived through OI/AIH (OR, 1.13; 95% CI 0.79 to 1.61) and ART (OR, 1.03; 95% CI 0.78 to 1.37). CONCLUSION In this study, we found a significant association between infertility treatment and children's neurodevelopment at 2 years of age, whereas no statistically significant differences were found at 3.5 years of age.
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Affiliation(s)
- Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Zen Watanabe
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Naomi Shiga
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hamada Hirotaka
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Tatsui Otsuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Masahito Tachibana
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Pediatrics, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
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87
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Kunii Y, Usukura H, Otsuka K, Maeda M, Yabe H, Takahashi S, Tachikawa H, Tomita H. Lessons learned from psychosocial support and mental health surveys during the 10 years since the Great East Japan Earthquake: Establishing evidence-based disaster psychiatry. Psychiatry Clin Neurosci 2022; 76:212-221. [PMID: 35137504 PMCID: PMC9314661 DOI: 10.1111/pcn.13339] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 01/30/2022] [Indexed: 11/27/2022]
Abstract
Post-disaster mental health and psychosocial support have drawn attention in Japan after the 1995 Great Hanshin-Awaji Earthquake, with mental health care centers for the affected communities being organized. After the catastrophe, a reconstruction budget was allocated to organize mental health care centers to provide psychosocial support for communities affected by the 2007 Chūetsu offshore earthquake, the 2011 Great East Japan Earthquake, and the 2016 Kumamoto Earthquake. There were several major improvements in post-disaster mental health measures after the Great East Japan Earthquake. The Disaster Psychiatric Assistance Team system was organized after the earthquake to orchestrate disaster response related to the psychiatric health system and mental health of the affected communities. Special mental health care efforts were drawn to the communities affected by the nuclear power plant accident through Chemical, Biological, Radiological, Nuclear, and high yield Explosives, being succeeded by measures against the coronavirus pandemic. As another new movement after the Great East Japan Earthquake, the number of surveys involving communities affected by disasters has soared. More than 10 times the number of scientific publications were made in English during the decade following the Great East Japan Earthquake, compared with the previous decades. In this review, we examined the results and issues acquired in the 10 years since the Great East Japan Earthquake, proposing evidence-based disaster psychiatry as the direction of future mental health measures related to emergency preparedness and response.
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Affiliation(s)
- Yasuto Kunii
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Hitomi Usukura
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Kotaro Otsuka
- Department of Neuropsychiatry, School of Medicine, Iwate Medical University, Iwate, Japan.,Department of Disaster and Community Psychiatry, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Masaharu Maeda
- Department of Disaster Psychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.,Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan
| | - Hirooki Yabe
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.,Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Sho Takahashi
- Department of Disaster and Community Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Hirokazu Tachikawa
- Department of Disaster and Community Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Hiroaki Tomita
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
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88
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Iwama N, Obara T, Ishikuro M, Murakami K, Ueno F, Noda A, Onuma T, Matsuzaki F, Hoshiai T, Saito M, Metoki H, Sugawara J, Yaegashi N, Kuriyama S. Risk scores for predicting small for gestational age infants in Japan: The TMM birthree cohort study. Sci Rep 2022; 12:8921. [PMID: 35618764 PMCID: PMC9135745 DOI: 10.1038/s41598-022-12892-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 05/16/2022] [Indexed: 11/30/2022] Open
Abstract
This study aimed to construct a prediction model for small-for-gestational-age (SGA) infants in Japan by creating a risk score during pregnancy. A total of 17,073 subjects were included in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study, a prospective cohort study. A multiple logistic regression model was used to construct risk scores during early and mid-gestational periods (11–17 and 18–21 weeks of gestation, respectively). The risk score during early gestation comprised the maternal age, height, body mass index (BMI) during early gestation, parity, assisted reproductive technology (ART) with frozen-thawed embryo transfer (FET), smoking status, blood pressure (BP) during early gestation, and maternal birth weight. The risk score during mid-gestation also consisted of the maternal age, height, BMI during mid-gestation, weight gain, parity, ART with FET, smoking status, BP level during mid-gestation, maternal birth weight, and estimated fetal weight during mid-gestation. The C-statistics of the risk scores during early- and mid-gestation were 0.658 (95% confidence interval [CI]: 0.642–0.675) and 0.725 (95% CI: 0.710–0.740), respectively. In conclusion, the predictive ability of the risk scores during mid-gestation for SGA infants was acceptable and better than that of the risk score during early gestation.
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Affiliation(s)
- Noriyuki Iwama
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, 980-8574, Japan. .,Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
| | - Taku Obara
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Fumihiko Ueno
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Aoi Noda
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Tomomi Onuma
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Fumiko Matsuzaki
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, 980-8574, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, 980-8574, Japan.,Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, Sendai, Miyagi, Japan
| | - Junichi Sugawara
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, 980-8574, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, 980-8574, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Environment and Genome Research Center, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.,Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan
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89
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Kanazawa N, Tani T, Imai S, Horiguchi H, Fushimi K, Inoue N. Existing Data Sources for Clinical Epidemiology: Database of the National Hospital Organization in Japan. Clin Epidemiol 2022; 14:689-698. [PMID: 35615723 PMCID: PMC9126156 DOI: 10.2147/clep.s359072] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/02/2022] [Indexed: 12/19/2022] Open
Abstract
This review introduces the National Hospital Organization (NHO) database in Japan. The NHO has maintained two databases through a system of data collection from 140 hospitals in the NHO. National Hospital Organization Clinical Data Archives (NCDA) is collecting clinical information in real time from the electronic medical records since January 2016, and Medical Information Analysis (MIA) databank is collecting daily insurance claims data since April 2010. The NHO database covers more than 8 million patients in 140 hospitals throughout Japan. The database consists of the information of patient profiles, hospital admission and discharge, diagnosis with ICD-10 codes, text data from medical chart, daily health insurance claims such as medical procedures, medications or surgeries, vital signs and laboratory data, and so on. The NHO database includes a wide variety of diseases and settings, including acute, chronic and intractable diseases, emergency medical services, disaster medicine, response to emerging infectious disease outbreaks, medical care according to health policies such as psychiatry, tuberculosis, or muscular dystrophy, and health systems in sparsely populated non-urban areas. Among several common diseases, the database has representativeness in terms of age distribution compared with the Patient Survey 2017 by the Ministry of Health, Labour and Welfare. Interested researchers can contact (700-dbproject@mail.hosp.go.jp) the NHO database division to obtain more information about the NHO database for utilization.
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Affiliation(s)
- Natsuko Kanazawa
- Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo, Japan
| | - Takuaki Tani
- Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo, Japan
| | - Shinobu Imai
- Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo, Japan
- Department of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
- Department of Drug Safety and Risk Management, School of Pharmacy, Tokyo University of Pharmacy and Life Sciences, Tokyo, Japan
| | - Hiromasa Horiguchi
- Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo, Japan
| | - Kiyohide Fushimi
- Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo, Japan
- Department of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Norihiko Inoue
- Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo, Japan
- Department of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
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90
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Kogure M, Nakamura T, Tsuchiya N, Hirata T, Nochioka K, Narita A, Hatanaka R, Itabashi F, Kanno I, Obara T, Satoh M, Metoki H, Miyagawa K, Koshimizu H, Nagayoshi S, Uruno A, Kikuya M, Suzuki K, Nakaya N, Sugawara J, Kuriyama S, Tsuji I, Kure S, Hozawa A. Consideration of the reference value and number of measurements of the urinary sodium-to-potassium ratio based on the prevalence of untreated home hypertension: TMM Cohort Study. Hypertens Res 2022; 45:866-875. [PMID: 35043014 PMCID: PMC9010298 DOI: 10.1038/s41440-021-00843-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/18/2021] [Accepted: 11/30/2021] [Indexed: 11/08/2022]
Abstract
The sodium-to-potassium (Na/K) ratio is known to be associated with blood pressure (BP). However, no reference value has been established since the urinary Na/K (uNa/K) ratio is known to have diurnal and day-to-day variations. Therefore, we investigated the number of days required to yield a better association between the morning uNa/K ratio and home BP (HBP) and determined a morning uNa/K ratio value that can be used as a reference value in participants who are not taking antihypertensive medication. This was a cross-sectional study using data from the Tohoku Medical Megabank Project Cohort Study. A total of 3122 participants borrowed HBP and uNa/K ratio monitors for 10 consecutive days. We assessed the relationship between the morning uNa/K ratio from 1 day to 10 days and home hypertension (HBP ≥ 135/85 mmHg) using multiple logistic regression models. Although a 1-day measurement of the morning uNa/K ratio was positively associated with home hypertension, multiple measurements of the morning uNa/K ratio were strongly related to home hypertension. The average morning uNa/K ratio was relatively stable after 3 days (adjusted odds ratio of home hypertension per unit increase in the uNa/K ratio for more than 3 days: 1.19-1.23). In conclusion, there was no threshold for the uNa/K ratio, and the morning uNa/K ratio was linearly associated with home hypertension. The Na/K ratio 2.0 calculated from the Dietary Reference Intakes for Japanese might be a good indication. Regarding the stability of the association between the morning uNa/K ratio and BP, more than 3 days of measurements is desirable.
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Affiliation(s)
- Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
- Graduate School of Medicine, Tohoku University, Sendai, Japan.
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Yamato Home Medical Care Clinic Kurihara, Kurihara, Japan
| | - Takumi Hirata
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Kotaro Nochioka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Rieko Hatanaka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Fumi Itabashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ikumi Kanno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Michihiro Satoh
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | | | | | | | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Masahiro Kikuya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Teikyo University School of Medicine, Tokyo, Japan
| | - Kichiya Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Ichiro Tsuji
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
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91
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Murakami K, Ishikuro M, Obara T, Ueno F, Noda A, Onuma T, Matsuzaki F, Kikuchi S, Kobayashi N, Hamada H, Iwama N, Metoki H, Saito M, Sugawara J, Tomita H, Yaegashi N, Kuriyama S. Maternal personality and postpartum mental disorders in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Sci Rep 2022; 12:6400. [PMID: 35430603 PMCID: PMC9013371 DOI: 10.1038/s41598-022-09944-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/21/2022] [Indexed: 11/09/2022] Open
Abstract
Personality has been shown to predict postpartum depressive symptoms (PDS) assessed by the Edinburgh Postnatal Depression Scale (EPDS). However, existing studies have not considered the underlying symptom dimensions in the EPDS. We analyzed data from 15,012 women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Personality was assessed in middle pregnancy using the short-form Eysenck Personality Questionnaire-Revised. PDS were defined as EPDS score ≥ 9 at 1 month after delivery. The EPDS items were further divided into three dimensions: depressed mood, anxiety, and anhedonia. Multiple analyses were conducted to examine the associations of each personality scale with PDS and three dimensions in the EPDS, adjusting for age, parity, mode of delivery, education, income, and social isolation. The prevalence of PDS assessed by the EPDS at 1 month after delivery was 13.1%. Higher neuroticism scores were associated with PDS (odds ratio [OR], 2.63; 95% confidence interval [CI], 2.48 to 2.79) and all three dimensions (all p < 0.001). Lower extraversion scores were associated with PDS (OR, 0.74; 95% CI, 0.70 to 0.78) and all three dimensions (all p < 0.001). Lower psychoticism scores were associated with PDS (OR, 0.89; 95% CI, 0.85 to 0.94) and anxiety (p < 0.001), but not with depressed mood (p = 0.20) or anhedonia (p = 0.92). In conclusion, higher neuroticism and lower extraversion were associated with PDS and the three underlying dimensions in the EPDS, while lower psychoticism was associated with anxiety, but not with depressed mood or anhedonia.
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Affiliation(s)
- Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
| | - Mami Ishikuro
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Fumihiko Ueno
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Aoi Noda
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumiko Matsuzaki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Saya Kikuchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Natsuko Kobayashi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirotaka Hamada
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Noriyuki Iwama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Masatoshi Saito
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Junichi Sugawara
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
- International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
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92
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Kawaguchi C, Murakami K, Ishikuro M, Ueno F, Noda A, Onuma T, Matsuzaki F, Metoki H, Kuriyama S, Obara T. Cumulative exposure to maternal psychological distress in the prenatal and postnatal periods and atopic dermatitis in children: findings from the TMM BirThree Cohort Study. BMC Pregnancy Childbirth 2022; 22:242. [PMID: 35331140 PMCID: PMC8944031 DOI: 10.1186/s12884-022-04556-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 02/25/2022] [Indexed: 12/20/2022] Open
Abstract
Background Maternal mental health problems in each of the prenatal period and postnatal period have been demonstrated as possible risk factors for atopic dermatitis (AD) in children. However, the cumulative impacts of maternal psychological distress in the prenatal and postnatal periods on AD in children remain unclear. This study examined the association between cumulative exposure to maternal psychological distress in the prenatal and postnatal periods and the development of AD in children. Methods Data were derived from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Japan. In total, 8377 mother-child pairs in which the child had no AD at the age of 1 year were analyzed. Maternal psychological distress in early pregnancy and 1 year after delivery was defined as a K6 score ≥ 5, and the participants were categorized into four groups: no psychological distress in both the prenatal and postnatal periods; only the prenatal period; only the postnatal period; and both periods. The development of AD was defined as the presence of AD in a 2-year-old child without AD reported at the age of 1 year using the International Study of Asthma and Allergies in Childhood questionnaire. Generalized linear model analyses were conducted to examine the association between maternal psychological distress and the development of AD in children adjusted for age at delivery, educational attainment, smoking status in pregnancy, maternal history of AD, paternal history of AD, parity, maternal body mass index, and child sex. Results Between the ages of 1 and 2 years, 14.0% of children developed AD. Maternal psychological distress in both prenatal and postnatal periods was associated with an increased risk of AD in children compared to no psychological distress in both periods (relative risk (RR), 95% confidence interval (CI): 1.34, 1.20–1.47). Maternal psychological distress in only the postnatal period was associated with an increased risk of AD in children (RR, 95% CI: 1.23, 1.07–1.39), but not in only the prenatal period (RR, 95% CI: 1.14, 0.98–1.30). Conclusions Cumulative exposure to maternal psychological distress in the prenatal and postnatal periods was associated with the development of AD in children. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04556-8.
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Affiliation(s)
- Chikana Kawaguchi
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Keiko Murakami
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan. .,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumihiko Ueno
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Aoi Noda
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Tomomi Onuma
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Fumiko Matsuzaki
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8536, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Disaster Public Health, International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.,Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
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93
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Fuse N, Sakurai M, Motoike IN, Kojima K, Takai-Igarashi T, Nakaya N, Tsuchiya N, Nakamura T, Ishikuro M, Obara T, Miyazawa A, Homma K, Ido K, Taira M, Kobayashi T, Shimizu R, Uruno A, Kodama EN, Suzuki K, Hamanaka Y, Tomita H, Sugawara J, Suzuki Y, Nagami F, Ogishima S, Katsuoka F, Minegishi N, Hozawa A, Kuriyama S, Yaegashi N, Kure S, Kinoshita K, Yamamoto M. Genome-wide Association Study of Axial Length in Population-based Cohorts in Japan. OPHTHALMOLOGY SCIENCE 2022; 2:100113. [PMID: 36246171 PMCID: PMC9559092 DOI: 10.1016/j.xops.2022.100113] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 01/07/2022] [Accepted: 01/07/2022] [Indexed: 11/20/2022]
Abstract
Purpose To elucidate the differences in ocular biometric parameters by generation and gender and to identify axial length (AL)-associated genetic variants in Japanese individuals, we analyzed Tohoku Medical Megabank Organization (ToMMo) Eye Study data. Design We designed the ToMMo Eye Study, examined AL variations, and conducted genome-wide association studies (GWASs). Participants In total, 33 483 participants aged > 18 years who were recruited into the community-based cohort (CommCohort) and the birth and three-generation cohort (BirThree Cohort) of the ToMMo Eye Study were examined. Methods Each participant was screened with an interview, ophthalmic examinations, and a microarray analysis. The GWASs were performed in 22 379 participants in the CommCohort (discovery stage) and 11 104 participants in the BirThree Cohort (replication stage). We evaluated the associations of single nucleotide polymorphisms (SNPs) with AL using a genome-wide significance threshold (5 × 10-8) in each stage of the study and in the subsequent meta-analysis. Main Outcome Measures We identified the association of SNPs with AL and distributions of AL in right and left eyes and individuals of different sexes and ages. Results In the discovery stage, the mean AL of the right eye (23.99 mm) was significantly greater than that of the left eye (23.95 mm). This difference was reproducible across sexes and ages. The GWASs revealed 703 and 215 AL-associated SNPs with genome-wide significance in the discovery and validation stages, respectively, and many of the SNPs in the discovery stage were replicated in the validation stage. Validated SNPs and their associated loci were meta-analyzed for statistical significance (P < 5 × 10-8). This study identified 1478 SNPs spread over 31 loci. Of the 31 loci, 5 are known AL loci, 15 are known refractive-error loci, 4 are known corneal-curvature loci, and 7 loci are newly identified loci that are not known to be associated with AL. Of note, some of them shared functional relationships with previously identified loci. Conclusions Our large-scale GWASs exploiting ToMMo Eye Study data identified 31 loci linked to variations in AL, 7 of which are newly reported in this article. The results revealed genetic heterogeneity and similarity in SNPs related to ethnic variations in AL.
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94
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Ishikuro M, Noda A, Murakami K, Onuma T, Matsuzaki F, Ueno F, Kikuya M, Metoki H, Tomita H, Obara T, Yaegashi N, Kuriyama S. Families' Health after the Great East Japan Earthquake: Findings from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. TOHOKU J EXP MED 2022; 256:93-101. [PMID: 35197407 DOI: 10.1620/tjem.256.93] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Infectious diseases, chronic diseases, and mental disorders in both adults and children are reported after disasters occur. The correlation between chronic diseases and mental disorders has also been reported. Moreover, disasters may affect perinatal outcomes. Thus, both adult and child health should be carefully monitored in disaster aftermath. A prospective cohort study of pregnant women and their families, the Tohoku Medical Megabank Project (TMM) Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study), has been conducted since 2013. A total of 73,529 family members participated in the TMM BirThree Cohort Study. Among siblings, the proportion of "small for gestational age" was the same in the pre- and post-disaster periods. Among parents and grandparents who answered the baseline questionnaire, 5.6% in the inland area and 19.8% in the coastal area had their houses totally/mostly destroyed by the Great East Japan Earthquake. Although a depression trend due to house damage was not observed in mothers, the proportion of psychological distress was high according to house damage (P for trend = 0.04). Among parents, there was an increase in overweight persons (P for trend = 0.004 in mothers and < 0.0001 in fathers) and in the number of smokers based on the severity of house damage (P for trend = 0.002 in mothers and < 0.0001 in fathers), whereas no such trend was observed in grandparents. Continuous monitoring and support for those who need are essential. Moreover, utilizing existing cohort studies to investigate health status when we face a new disaster is desirable.
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Affiliation(s)
- Mami Ishikuro
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine
| | - Aoii Noda
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine.,Department of Pharmaceutical Sciences, Tohoku University Hospital
| | - Keiko Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine
| | - Tomomi Onuma
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University
| | - Fumiko Matsuzaki
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine
| | - Fumihiko Ueno
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine
| | - Masahiro Kikuya
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Department of Hygiene and Public Health, Teikyo University School of Medicine
| | - Hirohito Metoki
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Hiroaki Tomita
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Department of Psychiatry, Tohoku University Graduate School of Medicine.,Department of Psychiatry, Tohoku University Hospital.,Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University
| | - Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine.,Department of Pharmaceutical Sciences, Tohoku University Hospital
| | - Nobuo Yaegashi
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University.,Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine.,Department of Gynecology and Obstetrics, Tohoku University Hospital
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.,Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine.,Division of Disaster Public Health, International Research Institute of Disaster Science, Tohoku University
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95
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Takahashi I, Obara T, Aizawa M, Yonezawa Y, Ueno F, Noda A, Onuma T, Matsuzaki F, Murakami K, Ishikuro M, Kuriyama S. Relationship between the combination of polyunsaturated fatty acids intake and psychological distress during pregnancy: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Prostaglandins Leukot Essent Fatty Acids 2022; 177:102400. [PMID: 35092939 DOI: 10.1016/j.plefa.2022.102400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 02/07/2023]
Abstract
No studies have examined the association of the combination of n-3 polyunsaturated fatty acids (PUFAs) and n-6 PUFAs intake with psychological distress during pregnancy. To examine these associations, we divided Japanese pregnant women into 25 groups based on combining quintiles of n-3 PUFAs intake and quintiles of n-6 PUFAs intake. We conducted multivariable logistic regression analyses to assess the risk of psychological distress during pregnancy (Kessler Psychological Distress Scale ≥ 5 or 13). Compared to the third quintile of both n-3 PUFAs and n-6 PUFAs intake, the groups with unbalanced intake, high intake of both, and low intake of both were associated with a higher risk of both Kessler Psychological Distress Scale ≥ 5 and 13 in early and mid-pregnancy. Further research is needed to identify the precise combination of n-3 PUFAs and n-6 PUFAs intake associated with the lowest psychological distress during pregnancy.
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Affiliation(s)
- I Takahashi
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - T Obara
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan.
| | - M Aizawa
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Y Yonezawa
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - F Ueno
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - A Noda
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - T Onuma
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - F Matsuzaki
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - K Murakami
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - M Ishikuro
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - S Kuriyama
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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96
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dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project. Hum Genome Var 2021; 8:44. [PMID: 34887386 PMCID: PMC8660797 DOI: 10.1038/s41439-021-00175-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/08/2021] [Accepted: 09/08/2021] [Indexed: 11/08/2022] Open
Abstract
To reveal gene-environment interactions underlying common diseases and estimate the risk for common diseases, the Tohoku Medical Megabank (TMM) project has conducted prospective cohort studies and genomic and multiomics analyses. To establish an integrated biobank, we developed an integrated database called “dbTMM” that incorporates both the individual cohort/clinical data and the genome/multiomics data of 157,191 participants in the Tohoku Medical Megabank project. To our knowledge, dbTMM is the first database to store individual whole-genome data on a variant-by-variant basis as well as cohort/clinical data for over one hundred thousand participants in a prospective cohort study. dbTMM enables us to stratify our cohort by both genome-wide genetic factors and environmental factors, and it provides a research and development platform that enables prospective analysis of large-scale data from genome cohorts. A database integrating 1.3 trillion genome cohort data entries from 157,191 individuals in Japan will facilitate research into the gene-environment interactions underlying common diseases. The Tohoku Medical Megabank integrated database called dbTMM was developed by Soichi Ogishima, Masayuki Yamamoto and colleagues at Tohoku University in Japan. It incorporates the genome, metabolome, proteome, clinical, sociodemographic, lifestyle and environmental data from 84,073 adults, and 73,529 pregnant women and their families, including children. Blood and urine samples were collected from participants and analysed, then obtained genome/multiomics data were stored in dbTMM. Users can stratify the entire population into smaller populations based on multiple data variables, including whole genome variants, to search for statistically significant differences that might warrant further research. The dbTMM is expected to help clarify the genes and gene-environment interactions underlying common diseases and improve disease risk prediction.
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97
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Kikuchi S, Murakami K, Obara T, Ishikuro M, Ueno F, Noda A, Onuma T, Kobayashi N, Sugawara J, Yamamoto M, Yaegashi N, Kuriyama S, Tomita H. One-year trajectories of postpartum depressive symptoms and associated psychosocial factors: findings from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. J Affect Disord 2021; 295:632-638. [PMID: 34509778 DOI: 10.1016/j.jad.2021.08.118] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/05/2021] [Accepted: 08/28/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Trajectories of postpartum depressive symptoms up to 1 year after childbirth and the related risk factors remain unclear. Accordingly, this study aimed to examine the 1-year trajectories of postpartum depressive symptoms and their associated risk factors. METHODS A total of 22,493 pregnant women were recruited between July 2013 and September 2016 in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Japan. Among them, 11,668 women with no missing data were included in the analyses. Depressive symptoms were assessed at 1 month and 1 year postpartum using the Edinburgh Postnatal Depression Scale. Multinominal logistic regression analysis was conducted after adjusting for covariates. RESULTS The prevalence of depression was 13.9% at 1 month and 12.9% at 1 year postpartum. We identified four depression trajectories, i.e., "persistent (depressed throughout the 1 year postpartum)" (6.0%), "recovered (depressed at 1 month postpartum and recovered within a year)" (7.9%), "late-onset (became depressed after 1 month postpartum)" (6.8%), and "resilient (not depressed throughout 1 year postpartum)" (79.2%). Psychological distress during pregnancy was significantly associated with all trajectories (persistent: odds ratio [OR]=10.24, 95% confidence interval (CI)=8.40-12.48; recovered: OR=3.78, 95%CI=3.28-4.36; and late-onset: OR=3.96, 95%CI=3.40-4.62). LIMITATIONS Postpartum depression was evaluated only by a self-administered questionnaire and the dropout rate was not neglectable. CONCLUSIONS This study highlighted the high prevalence of depressive symptoms at 1 year postpartum and found that half of the depressive symptoms at 1 year were late-onset. The findings suggest the necessity of long-term follow-up (up to 1 year) for perinatal mental health.
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Affiliation(s)
- Saya Kikuchi
- Department of Psychiatry, Tohoku University Hospital; Department of Psychiatry, Graduate School of Medicine, Tohoku University.
| | - Keiko Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University; Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University
| | - Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University; Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University; Department of Pharmaceutical Sciences, Tohoku University Hospital
| | - Mami Ishikuro
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University; Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University
| | - Fumihiko Ueno
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University; Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University
| | - Aoi Noda
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University; Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University; Department of Pharmaceutical Sciences, Tohoku University Hospital
| | - Tomomi Onuma
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University
| | - Natsuko Kobayashi
- Department of Psychiatry, Tohoku University Hospital; Department of Psychiatry, Graduate School of Medicine, Tohoku University
| | - Junichi Sugawara
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University; Environment and Genome Research Center, Graduate School of Medicine, Tohoku University; Department of Obstetrics and Gynecology, Graduate School of Medicine, Tohoku University
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University
| | - Nobuo Yaegashi
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University; Department of Obstetrics and Gynecology, Graduate School of Medicine, Tohoku University
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University; Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University; Department of Disaster-related Public Health, International Research Institute of Disaster Science, Tohoku University
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Hospital; Department of Psychiatry, Graduate School of Medicine, Tohoku University; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University; Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University
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98
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Yamada M, Motoike IN, Kojima K, Fuse N, Hozawa A, Kuriyama S, Katsuoka F, Tadaka S, Shirota M, Sakurai M, Nakamura T, Hamanaka Y, Suzuki K, Sugawara J, Ogishima S, Uruno A, Kodama EN, Fujino N, Numakura T, Ichikawa T, Mitsune A, Ohe T, Kinoshita K, Ichinose M, Sugiura H, Yamamoto M. Genetic loci for lung function in Japanese adults with adjustment for exhaled nitric oxide levels as airway inflammation indicator. Commun Biol 2021; 4:1288. [PMID: 34782693 PMCID: PMC8593164 DOI: 10.1038/s42003-021-02813-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 10/27/2021] [Indexed: 11/08/2022] Open
Abstract
Lung function reflects the ability of the respiratory system and is utilized for the assessment of respiratory diseases. Because type 2 airway inflammation influences lung function, genome wide association studies (GWAS) for lung function would be improved by adjustment with an indicator of the inflammation. Here, we performed a GWAS for lung function with adjustment for exhaled nitric oxide (FeNO) levels in two independent Japanese populations. Our GWAS with genotype imputations revealed that the RNF5/AGER locus including AGER rs2070600 SNP, which introduces a G82S substitution of AGER, was the most significantly associated with FEV1/FVC. Three other rare missense variants of AGER were further identified. We also found genetic loci with three candidate genes (NOS2, SPSB2 and RIPOR2) associated with FeNO levels. Analyses with the BioBank-Japan GWAS resource revealed genetic links of FeNO and asthma-related traits, and existence of common genetic background for allergic diseases and their biomarkers. Our study identified the genetic locus most strongly associated with airway obstruction in the Japanese population and three genetic loci associated with FeNO, an indicator of type 2 airway inflammation in adults.
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Affiliation(s)
- Mitsuhiro Yamada
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ikuko N Motoike
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kaname Kojima
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Nobuo Fuse
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumiki Katsuoka
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Shu Tadaka
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Matsuyuki Shirota
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Miyuki Sakurai
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Department of Health Record Informatics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yohei Hamanaka
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kichiya Suzuki
- Department of Biobank, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Junichi Sugawara
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Department of Health Record Informatics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Akira Uruno
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Eiichi N Kodama
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoya Fujino
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tadahisa Numakura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tomohiro Ichikawa
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ayumi Mitsune
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takashi Ohe
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
- Department of System Bioinformatics, Tohoku University Graduate School of Information Sciences, Sendai, Japan
| | | | - Hisatoshi Sugiura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
- Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan.
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99
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Murakami K, Ishikuro M, Ueno F, Noda A, Onuma T, Matsuzaki F, Metoki H, Obara T, Kuriyama S. Maternal personality and alcohol use during pregnancy in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Addict Behav 2021; 122:107020. [PMID: 34166996 DOI: 10.1016/j.addbeh.2021.107020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 06/11/2021] [Accepted: 06/14/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Studies on associations between maternal personality and alcohol use have examined only one time point during pregnancy in Western countries. We aimed to examine the association between maternal personality and alcohol use in early and middle pregnancy in Japan. METHODS We analyzed data from 17,144 pregnant women in Japan who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. Personality was assessed using the short-form Eysenck Personality Questionnaire-Revised. Women were dichotomized as current drinkers or non-drinkers in both early and middle pregnancy. Odds ratios (ORs) and 95% confidence intervals (CIs) for alcohol use in early and middle pregnancy and continued alcohol use between early and middle pregnancy were calculated for 1 standard deviation increase in each personality scale, adjusted for age, as well as education, work status, fertility treatment, and parity. RESULTS Higher extraversion scores were associated with alcohol use in early (OR, 1.16; 95% CI, 1.12-1.20) and middle pregnancy (OR, 1.17; 95% CI, 1.10-1.25). Higher psychoticism scores were associated with continued alcohol use into middle pregnancy (OR, 1.07; 95% CI, 1.01-1.14) and alcohol use in middle pregnancy (OR, 1.07; 95% CI, 1.02-1.13). Neuroticism was not associated with alcohol use in early or middle pregnancy. Lower lie was associated with alcohol use in early (OR, 0.95; 95% CI, 0.91-0.98), but not in middle pregnancy. CONCLUSIONS Different personality scales are associated with alcohol use at different points during pregnancy.
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100
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Yamauchi T, Ochi D, Matsukawa N, Saigusa D, Ishikuro M, Obara T, Tsunemoto Y, Kumatani S, Yamashita R, Tanabe O, Minegishi N, Koshiba S, Metoki H, Kuriyama S, Yaegashi N, Yamamoto M, Nagasaki M, Hiyama S, Sugawara J. Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis. Sci Rep 2021; 11:17777. [PMID: 34493809 PMCID: PMC8423760 DOI: 10.1038/s41598-021-97342-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/25/2021] [Indexed: 02/07/2023] Open
Abstract
The elucidation of dynamic metabolomic changes during gestation is particularly important for the development of methods to evaluate pregnancy status or achieve earlier detection of pregnancy-related complications. Some studies have constructed models to evaluate pregnancy status and predict gestational age using omics data from blood biospecimens; however, less invasive methods are desired. Here we propose a model to predict gestational age, using urinary metabolite information. In our prospective cohort study, we collected 2741 urine samples from 187 healthy pregnant women, 23 patients with hypertensive disorders of pregnancy, and 14 patients with spontaneous preterm birth. Using gas chromatography-tandem mass spectrometry, we identified 184 urinary metabolites that showed dynamic systematic changes in healthy pregnant women according to gestational age. A model to predict gestational age during normal pregnancy progression was constructed; the correlation coefficient between actual and predicted weeks of gestation was 0.86. The predicted gestational ages of cases with hypertensive disorders of pregnancy exhibited significant progression, compared with actual gestational ages. This is the first study to predict gestational age in normal and complicated pregnancies by using urinary metabolite information. Minimally invasive urinary metabolomics might facilitate changes in the prediction of gestational age in various clinical settings.
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Affiliation(s)
- Takafumi Yamauchi
- grid.419819.c0000 0001 2184 8682X-Tech Development Department, NTT DOCOMO, INC, 3-6 Hikarino-oka, Yokosuka, Kanagawa 239-8536 Japan
| | - Daisuke Ochi
- grid.419819.c0000 0001 2184 8682X-Tech Development Department, NTT DOCOMO, INC, 3-6 Hikarino-oka, Yokosuka, Kanagawa 239-8536 Japan
| | - Naomi Matsukawa
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan
| | - Daisuke Saigusa
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan
| | - Mami Ishikuro
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575 Japan
| | - Taku Obara
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575 Japan
| | - Yoshiki Tsunemoto
- grid.419819.c0000 0001 2184 8682X-Tech Development Department, NTT DOCOMO, INC, 3-6 Hikarino-oka, Yokosuka, Kanagawa 239-8536 Japan
| | - Satsuki Kumatani
- grid.419819.c0000 0001 2184 8682X-Tech Development Department, NTT DOCOMO, INC, 3-6 Hikarino-oka, Yokosuka, Kanagawa 239-8536 Japan
| | - Riu Yamashita
- grid.272242.30000 0001 2168 5385Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, 6-5-1 Kashiwanoha, Kashiwa, Chiba 277-8577 Japan
| | - Osamu Tanabe
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.418889.40000 0001 2198 115XRadiation Effects Research Foundation, 5-2 Hijiyama Park, Minami-ku, Hiroshima, 732-0815 Japan
| | - Naoko Minegishi
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan
| | - Seizo Koshiba
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan
| | - Hirohito Metoki
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.412755.00000 0001 2166 7427Faculty of Medicine, Tohoku Medical Pharmaceutical University, 4-4-1 Komatsushima, Aoba-ku, Sendai, 981-0905 Japan
| | - Shinichi Kuriyama
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575 Japan ,grid.69566.3a0000 0001 2248 6943International Research Institute of Disaster Science, Tohoku University, Aramaki Aza-Aoba 468-1, Aoba-ku, Sendai, 980-8572 Japan
| | - Nobuo Yaegashi
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575 Japan ,grid.69566.3a0000 0001 2248 6943Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan
| | - Masayuki Yamamoto
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan
| | - Masao Nagasaki
- grid.258799.80000 0004 0372 2033Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, 53 Shogoinkawahara-cho, Sakyo-ku, Kyoto City, Kyoto 606-8507 Japan ,grid.258799.80000 0004 0372 2033Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto, 606-8507 Japan
| | - Satoshi Hiyama
- grid.419819.c0000 0001 2184 8682X-Tech Development Department, NTT DOCOMO, INC, 3-6 Hikarino-oka, Yokosuka, Kanagawa 239-8536 Japan
| | - Junichi Sugawara
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575 Japan
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