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Baratto I, Daher S, Fernandes MD, Lobo TF, Pendeloski KPT, Araujo E, Guazzelli CAF. Serum levels and gestational curve of adiponectin and leptin during adolescent pregnancy. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2023; 69:e20230077. [PMID: 37729356 PMCID: PMC10508944 DOI: 10.1590/1806-9282.20230077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 05/21/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVE This study aimed to develop a curve of weekly serum levels of adiponectin and leptin among pregnant adolescents. In addition, pregestational body mass index and weight gain were assessed and correlated with the serum concentration of these molecules. METHODS This was a prospective cohort study, including only pregnant adolescents with eutrophic pre-gestational body mass index who were weekly followed during the evolution of gestation. The serum concentrations of adipokines were determined using commercial ELISA kits and were correlated to pre-gestational body mass index and pregnancy weight gain. A total of 157 pregnant women participated in this study. RESULTS Adiponectin levels showed a significant decrease among the trimesters (p=0.0004). However, we did not observe significant differences among its levels when compared weekly, neither of which was between adiponectin concentration and pre-gestational body mass index or weight gain (p=0.36 and p=0.10, respectively). In contrast, we detected a significant increase in weekly serum leptin levels (p<0.0001), positively correlated to both pre-gestational body mass index and weight gain (p=0.003 and p=0.0007, respectively). CONCLUSION These adipokines present a different profile throughout adolescent pregnancy.
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Affiliation(s)
- Indiomara Baratto
- Universidade Federal de São Paulo, Paulista School of Medicine, Department of Obstetrics – São Paulo (SP), Brazil
| | - Silvia Daher
- Universidade Federal de São Paulo, Paulista School of Medicine, Department of Obstetrics – São Paulo (SP), Brazil
| | - Mirela Douradinho Fernandes
- Universidade Federal de São Paulo, Paulista School of Medicine, Department of Obstetrics – São Paulo (SP), Brazil
| | - Thalita Frutuoso Lobo
- Universidade Federal de São Paulo, Paulista School of Medicine, Department of Obstetrics – São Paulo (SP), Brazil
| | | | - Edward Araujo
- Universidade Federal de São Paulo, Paulista School of Medicine, Department of Obstetrics – São Paulo (SP), Brazil
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Ye Y, Wu P, Wang Y, Yang X, Ye Y, Yuan J, Liu Y, Song X, Yan S, Wen Y, Qi X, Yang C, Liu G, Lv C, Pan XF, Pan A. Adiponectin, leptin, and leptin/adiponectin ratio with risk of gestational diabetes mellitus: A prospective nested case-control study among Chinese women. Diabetes Res Clin Pract 2022; 191:110039. [PMID: 35985429 DOI: 10.1016/j.diabres.2022.110039] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 05/24/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022]
Abstract
AIMS To examine the associations of serum concentrations of adiponectin and leptin and leptin/adiponectin ratio (LAR) in early pregnancy with risk of gestational diabetes mellitus (GDM) in Chinese women. The predictive ability of those biomarkers for GDM was also assessed. METHODS Within the Tongji-Shuangliu Birth Cohort, a nested case-control study was established with 332 GDM cases and 664 matched controls at 1:2 ratio on age (±3 years) and gestational age (±4 weeks). Serum adiponectin and leptin levels were measured in early pregnancy (median gestational week, 11; range, 6-15). Conditional logistic regression models with adjustment for potential covariates were used to evaluate the associations. RESULTS Multivariable-adjusted odds ratios (ORs) comparing extreme quartiles of adiponectin, leptin and LAR were 0.55 (95 % CI, 0.35, 0.85), 1.96 (95 % CI, 1.19, 3.24), and 2.72 (95 % CI, 1.63, 4.54) for GDM, respectively (All P-trend < 0.02). Adding adiponectin and leptin to a conventional prediction model (including traditional risk factors and fasting glucose) increased the C-statistics from 0.708 (95 % CI, 0.674, 0.741) to 0.728 (95 % CI, 0.695, 0.760), and achieved a net reclassification improvement of 0.292. CONCLUSIONS Our findings indicate that adiponectin is inversely associated with GDM, while leptin and LAR are positively associated with GDM in Chinese pregnant women.
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Affiliation(s)
- Yi Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yixiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaying Yuan
- Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Yan Liu
- Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Shijiao Yan
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, China; School of Public Health, Hainan Medical University, Haikou, China
| | - Ying Wen
- Department of Communicable Diseases Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xiaorong Qi
- Department of Gynecology and Obstetrics, West China Second Hospital, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
| | - Chunxia Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Gang Liu
- Department of Nutrition & Food Hygiene, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chuanzhu Lv
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, China; Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China; Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China; Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan 610200, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Savard C, Lemieux S, Plante AS, Gagnon M, Leblanc N, Veilleux A, Tchernof A, Morisset AS. Longitudinal changes in circulating concentrations of inflammatory markers throughout pregnancy: are there associations with diet and weight status? Appl Physiol Nutr Metab 2021; 47:287-295. [PMID: 34767478 DOI: 10.1139/apnm-2021-0395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The natural inflammation occurring during pregnancy can, under certain conditions, be associated with adverse pregnancy outcomes. This study aimed to: 1) quantify changes in circulating concentrations of leptin, adiponectin, interleukin-6 (IL-6) and C-reactive protein (CRP) across trimesters of pregnancy, according to pre-pregnancy body mass index (ppBMI); and 2) examine the trimester-specific associations between the inflammatory markers' concentrations, a Mediterranean diet score (MDS) and the dietary inflammatory index (DII). We measured leptin, adiponectin and IL-6 by ELISA, and CRP by high-sensitivity immunonephelometry, in blood samples from 79 pregnant women (age: 32.1 ± 3.7 years; ppBMI: 25.7 ± 5.8 kg/m2). Three web-based 24h recalls were completed at each trimester and used to compute the MDS and the DII. CRP concentrations remained stable across trimesters, whereas concentrations of leptin and IL-6 increased, and adiponectin concentrations decreased (p<0.001). Changes in leptin and adiponectin concentrations also differed according to ppBMI categories (p<0.05). As for the dietary scores, the only significant association was observed in the second trimester between leptin concentrations and the MDS (r=-0.26, p<0.05). In conclusion, ppBMI and the progression of pregnancy itself probably supplant the potential associations between diet and the inflammation occurring during that period. Novelty: • Circulating leptin and IL-6 concentrations increased across trimesters whereas CRP was stable, and adiponectin decreased. • Variations in circulating leptin and adiponectin concentrations differed by ppBMI categories. • Very few associations were observed between dietary scores and inflammatory markers.
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Affiliation(s)
- Claudia Savard
- Laval University, 4440, School of Nutrition, Quebec, Quebec, Canada;
| | - Simone Lemieux
- Laval University, School of Nutrition, INAF, Pavillon des services, 2440 Boulevard Hochelaga, Quebec, Quebec, Canada, G1V 0A6;
| | | | - Marianne Gagnon
- Laval University, 4440, School of Nutrition, Quebec, Quebec, Canada.,CHU de Québec-Université Laval, 36896, Endocrinology and Nephrology Unit, Quebec, Quebec, Canada.,Laval University, 4440, Institute of Nutrition and Functional Foods, Quebec, Quebec, Canada;
| | - Nadine Leblanc
- Laval University, Department of Food Science and Nutrition, Quebec, Quebec, Canada;
| | - Alain Veilleux
- Laval University, 4440, School of Nutrition, Quebec, Quebec, Canada;
| | - André Tchernof
- Laval University, Laval University Medical Center, Quebec, Quebec, Canada.,Laval University, Institute of Nutrition and Functional Foods (INAF), Quebec, Quebec, Canada;
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Davidson SJ, Barrett HL, Price SA, Callaway LK, Dekker Nitert M. Probiotics for preventing gestational diabetes. Cochrane Database Syst Rev 2021; 4:CD009951. [PMID: 33870484 PMCID: PMC8094741 DOI: 10.1002/14651858.cd009951.pub3] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is associated with a range of adverse pregnancy outcomes for mother and infant. The prevention of GDM using lifestyle interventions has proven difficult. The gut microbiome (the composite of bacteria present in the intestines) influences host inflammatory pathways, glucose and lipid metabolism and, in other settings, alteration of the gut microbiome has been shown to impact on these host responses. Probiotics are one way of altering the gut microbiome but little is known about their use in influencing the metabolic environment of pregnancy. This is an update of a review last published in 2014. OBJECTIVES To systematically assess the effects of probiotic supplements used either alone or in combination with pharmacological and non-pharmacological interventions on the prevention of GDM. SEARCH METHODS We searched Cochrane Pregnancy and Childbirth's Trials Register, ClinicalTrials.gov, the WHO International Clinical Trials Registry Platform (ICTRP) (20 March 2020), and reference lists of retrieved studies. SELECTION CRITERIA Randomised and cluster-randomised trials comparing the use of probiotic supplementation with either placebo or diet for the prevention of the development of GDM. Cluster-randomised trials were eligible for inclusion but none were identified. Quasi-randomised and cross-over design studies were not eligible for inclusion in this review. Studies presented only as abstracts with no subsequent full report of study results were only included if study authors confirmed that data in the abstract came from the final analysis. Otherwise, the abstract was left awaiting classification. DATA COLLECTION AND ANALYSIS Two review authors independently assessed study eligibility, extracted data and assessed risk of bias of included studies. Data were checked for accuracy. MAIN RESULTS In this update, we included seven trials with 1647 participants. Two studies were in overweight and obese women, two in obese women and three did not exclude women based on their weight. All included studies compared probiotics with placebo. The included studies were at low risk of bias overall except for one study that had an unclear risk of bias. We excluded two studies, eight studies were ongoing and three studies are awaiting classification. Six included studies with 1440 participants evaluated the risk of GDM. It is uncertain if probiotics have any effect on the risk of GDM compared to placebo (mean risk ratio (RR) 0.80, 95% confidence interval (CI) 0.54 to 1.20; 6 studies, 1440 women; low-certainty evidence). The evidence was low certainty due to substantial heterogeneity and wide CIs that included both appreciable benefit and appreciable harm. Probiotics increase the risk of pre-eclampsia compared to placebo (RR 1.85, 95% CI 1.04 to 3.29; 4 studies, 955 women; high-certainty evidence) and may increase the risk of hypertensive disorders of pregnancy (RR 1.39, 95% CI 0.96 to 2.01, 4 studies, 955 women), although the CIs for hypertensive disorders of pregnancy also indicated probiotics may have no effect. There were few differences between groups for other primary outcomes. Probiotics make little to no difference in the risk of caesarean section (RR 1.00, 95% CI 0.86 to 1.17; 6 studies, 1520 women; high-certainty evidence), and probably make little to no difference in maternal weight gain during pregnancy (MD 0.30 kg, 95% CI -0.67 to 1.26; 4 studies, 853 women; moderate-certainty evidence). Probiotics probably make little to no difference in the incidence of large-for-gestational age infants (RR 0.99, 95% CI 0.72 to 1.36; 4 studies, 919 infants; moderate-certainty evidence) and may make little to no difference in neonatal adiposity (2 studies, 320 infants; data not pooled; low-certainty evidence). One study reported adiposity as fat mass (MD -0.04 kg, 95% CI -0.12 to 0.04), and one study reported adiposity as percentage fat (MD -0.10%, 95% CI -1.19 to 0.99). We do not know the effect of probiotics on perinatal mortality (RR 0.33, 95% CI 0.01 to 8.02; 3 studies, 709 infants; low-certainty evidence), a composite measure of neonatal morbidity (RR 0.69, 95% CI 0.36 to 1.35; 2 studies, 623 infants; low-certainty evidence), or neonatal hypoglycaemia (mean RR 1.15, 95% CI 0.69 to 1.92; 2 studies, 586 infants; low-certainty evidence). No included studies reported on perineal trauma, postnatal depression, maternal and infant development of diabetes or neurosensory disability. AUTHORS' CONCLUSIONS Low-certainty evidence from six trials has not clearly identified the effect of probiotics on the risk of GDM. However, high-certainty evidence suggests there is an increased risk of pre-eclampsia with probiotic administration. There were no other clear differences between probiotics and placebo among the other primary outcomes. The certainty of evidence for this review's primary outcomes ranged from low to high, with downgrading due to concerns about substantial heterogeneity between studies, wide CIs and low event rates. Given the risk of harm and little observed benefit, we urge caution in using probiotics during pregnancy. The apparent effect of probiotics on pre-eclampsia warrants particular consideration. Eight studies are currently ongoing, and we suggest that these studies take particular care in follow-up and examination of the effect on pre-eclampsia and hypertensive disorders of pregnancy. In addition, the underlying potential physiology of the relationship between probiotics and pre-eclampsia risk should be considered.
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Affiliation(s)
- Sarah J Davidson
- Department of Women's and Newborn Services, Royal Brisbane & Women's Hospital, Herston, Australia
- Duke University School of Medicine, Durham, North Carolina, USA
- Faculty of Medicine, The University of Queensland, Herston, Australia
| | - Helen L Barrett
- Queensland Diabetes and Endocrine Centre, Mater Health, South Brisbane, Australia
- Mater Research Institute, The University of Queensland, South Brisbane, Australia
| | - Sarah A Price
- Department of Medicine, University of Melbourne, Parkville, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, Australia
- Department of Endocrinology, Austin Health, Heidelberg Heights, Australia
- Department of Obstetrics and Gynaecology, Royal Women's Hospital, North Melbourne, Australia
- Department of Obstetrics and Gynaecology, Mercy Hospital, Heidelberg, Australia
| | - Leonie K Callaway
- Department of Women's and Newborn Services, Royal Brisbane & Women's Hospital, Herston, Australia
- Faculty of Medicine, The University of Queensland, Herston, Australia
| | - Marloes Dekker Nitert
- School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Australia
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Abstract
Pregnancy is a natural process that poses an immunological challenge because non-self fetus must be accepted. During the pregnancy period, the fetus as 'allograft' inherits maternal and also paternal antigens. For successful and term pregnancy, the fetus is tolerated and nurtured enjoying immune privileges that minimize the risk of being rejected by maternal immune system. Multiple mechanisms contribute to tolerate the semi-allogeneic fetus. Here, we summarize the recent progresses on how the maternal immune system actively collaborates to maintain the immune balance and maternal-fetal tolerance.
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Affiliation(s)
- Xiaopeng Li
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangdong Engineering and Technology Research Center of Maternal-Fetal Medicine, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jiayi Zhou
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangdong Engineering and Technology Research Center of Maternal-Fetal Medicine, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Min Fang
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,International College, University of the Chinese Academy of Sciences, Beijing, China
| | - Bolan Yu
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangdong Engineering and Technology Research Center of Maternal-Fetal Medicine, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
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Baratto I, Daher S, Lobo TF, Araujo Júnior E, Guazzelli CAF. Adiponectin and leptin serum levels in normal adolescent pregnancies. J Matern Fetal Neonatal Med 2019; 34:2019-2024. [PMID: 31370761 DOI: 10.1080/14767058.2019.1651836] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
INTRODUCTION Adiponectin and leptin play a critical role in pregnancy development, the blood levels of these adipokines have been extensively investigated in healthy adult women, however there are no similar studies in adolescents. The aim of this study was to evaluate adiponectin and leptin serum levels in adolescents during pregnancy. METHODS This prospective cohort study recruited 105 healthy, normal-weight adolescents, within the ages from 13 to 19 years old. Leptin and adiponectin serum levels of the 43 pregnant participants were assessed at 10-14, 24-28 and 30-34 weeks and their concentrations were compared with those of the 62 nonpregnant adolescents. Commercial ELISA kits were used for all assessments. RESULTS There were no clinical and sociodemographic differences between the pregnant and nonpregnant adolescents. Adiponectin serum levels were significantly lower in the pregnant compared to the nonpregnant adolescents 3600 ± 1730 ng/ml versus 4144 ± 1583 ng/ml, respectively. (p < .0001). Moreover, adiponectin concentration decreased significantly with pregnancy progress: being 4295 (± 2003) ng/ml at the first trimester; 3419 (±1803) ng/ml at the 2nd; and 3112 (±1442) ng/ml at the 3rd trimesters, respectively (p = .004). Overall leptin serum concentrations were significantly higher in pregnant than in nonpregnant adolescents (p < .0001). During pregnancy, leptin concentration increased significantly between the first and third trimesters: 35,688 (±33,637) pg/ml versus 49,388 (±33,186) pg/ml, respectively, (p < .0001). CONCLUSIONS The profile of adiponectin and leptin serum levels in adolescent are similar to that observed in adult women. In both cases, there are significant changes with gestational age during healthy pregnancy.Key MessageAdiponectin and leptin serum levels in healthy teenager changes with pregnancy.
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Affiliation(s)
- Indiomara Baratto
- Department of Obstetrics, São Paulo Federal University São Paulo, São Paulo, Brazil
| | - Silvia Daher
- Department of Obstetrics, São Paulo Federal University São Paulo, São Paulo, Brazil
| | | | - Edward Araujo Júnior
- Department of Obstetrics, São Paulo Federal University São Paulo, São Paulo, Brazil
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Maternal pre-pregnancy weight status modifies the influence of PUFAs and inflammatory biomarkers in breastmilk on infant growth. PLoS One 2019; 14:e0217085. [PMID: 31141526 PMCID: PMC6541358 DOI: 10.1371/journal.pone.0217085] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/04/2019] [Indexed: 12/26/2022] Open
Abstract
Background Human breastmilk contains pro- and anti-inflammatory compounds and hormones that can influence infant growth. However, little is known about the specific interrelationships between these compounds and whether their effects on infant growth may be influenced by pre-pregnancy weight status. Objective The purpose of this novel, prospective cohort study was to assess the interrelationships between pro-inflammatory cytokines (TNF-α, IL-6), hormones (insulin, leptin) and PUFAs (n-6, n-3) in blood and breastmilk in early postpartum between women with normal BMI (Group 1, n = 18; 18.5<BMI≤24.9 kg/m2) and with overweight/obesity (Group 2, n = 15; BMI≥25.0 kg/m2) before pregnancy to determine if these components correlated to infant growth measures at age 4–8 weeks. Methods Participants were robustly phenotyped along with their infants at 4–8 weeks postpartum. TNF-α, IL-6, insulin, leptin, and n-3 and n-6 PUFAs measured in blood and breastmilk and compared between pre-pregnancy BMI groups and with infant weight, length, head circumference and % fat mass. Results Group 1 women had higher serum leptin (p<0.01) and breastmilk leptin (p<0.001) compared to Group 2. Other inflammatory markers, hormones, and total n-6, n-3 and n-6/n-3 ratio PUFAs were similar between pre-pregnancy BMI groups. No relationships were observed between whey inflammatory markers, hormones, PUFAs and growth measures in infants born to Group 2 women. However, TNF-α was positively related and, IL-6, leptin, insulin, total n-6, n-3 and n-6/n-3 PUFAs in whey breastmilk were negatively correlated to infant growth measures in infants born to Group 1 women (p<0.01). Conclusions Pro-inflammatory qualities of breastmilk were associated with infant growth measures regardless of maternal pre-pregnancy BMI. However, infants born to women with overweight or obesity demonstrated less responsive growth to breastmilk contents. More studies are needed to assess longitudinal effects of this impact.
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Grev J, Berg M, Soll R. Maternal probiotic supplementation for prevention of morbidity and mortality in preterm infants. Cochrane Database Syst Rev 2018; 12:CD012519. [PMID: 30548483 PMCID: PMC6516999 DOI: 10.1002/14651858.cd012519.pub2] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Inflammation may contribute to preterm birth and to morbidity of preterm infants. Preterm infants are at risk for alterations in the normal protective microbiome. Oral probiotics administered directly to preterm infants have been shown to decrease the risk for severe necrotizing enterocolitis (NEC) as well as the risk of death, but there are safety concerns about administration of probiotics directly to preterm infants. Through decreasing maternal inflammation, probiotics may play a role in preventing preterm birth and/or decreasing the inflammatory milieu surrounding delivery of preterm infants, and may alter the microbiome of the preterm infant when given to mothers during pregnancy. Probiotics given to mothers after birth of preterm infants may effect infant bacterial colonization, which could potentially reduce the incidence of NEC. OBJECTIVES 1. To compare the efficacy of maternal probiotic administration versus placebo or no intervention in mothers during pregnancy for the prevention of preterm birth and the prevention of morbidity and mortality of infants born preterm.2. To compare the efficacy of maternal probiotic administration versus placebo, no intervention, or neonatal probiotic administration in mothers of preterm infants after birth on the prevention of mortality and preterm infant morbidities such as NEC. SEARCH METHODS We used the standard search strategy of Cochrane Neonatal to search the Cochrane Central Register of Controlled Trials (CENTRAL 2017, Issue 2), MEDLINE via PubMed (1966 to 21 March 2017), Embase (1980 to 21 March 2017), and CINAHL (1982 to 21 March 2017). We also searched clinical trials databases, conference proceedings, and the reference lists of retrieved articles for randomized controlled trials and quasi-randomized trials. SELECTION CRITERIA We included randomized controlled trials in the review if they administered oral probiotics to pregnant mothers at risk for preterm birth, or to mothers of preterm infants after birth. Quasi-randomized trials were eligible for inclusion, but none were identified. Studies enrolling pregnant women needed to administer probiotics at < 36 weeks' gestation until the trimester of birth. Probiotics considered were of the genera Lactobacillus, Bifidobacterium or Saccharomyces. DATA COLLECTION AND ANALYSIS We used the standard methods of the Cochrane Collaboration and Cochrane Neonatal to determine the methodologic quality of studies, and for data collection and analysis. MAIN RESULTS We included 12 eligible trials with a total of 1450 mothers and 1204 known infants. Eleven trials administered probiotics to mothers during pregnancy and one trial administered probiotics to mothers after birth of their preterm infants. No studies compared maternal probiotic administration directly with neonatal administration. Included prenatal trials were highly variable in the indication for the trial, the gestational age and duration of administration of probiotics, as well as the dose and formulation of the probiotics. The pregnant women included in these trials were overall at low risk for preterm birth. In a meta-analysis of trial data, oral probiotic administration to pregnant women did not reduce the incidence of preterm birth < 37 weeks (typical risk ratio (RR) 0.92, 95% confidence interval (CI) 0.32 to 2.67; 4 studies, 518 mothers and 506 infants), < 34 weeks (typical risk difference (RD) 0.00, 95% CI -0.02 to 0.02; 2 studies, 287 mothers and infants), the incidence of infant mortality (typical RD 0.00, 95% CI -0.02 to 0.02; 2 studies, 309 mothers and 298 infants), or the gestational age at birth (mean difference (MD) 0.15, 95% CI -0.33 to 0.63; 2 studies, 209 mothers with 207 infants).One trial studied administration of probiotics to mothers after preterm birth and included 49 mothers and 58 infants. There were no significant differences in the risk of any NEC (RR 0.44, 95% CI 0.13 to 1.46; 1 study, 58 infants), surgery for NEC (RR 0.15, 95% CI 0.01 to 2.58; 1 study, 58 infants), death (RR 0.66, 95% CI 0.06 to 6.88; 1 study, 58 infants), and death or NEC (RR 0.53, 95% CI 0.19 to 1.49; 1 study, 58 infants). There was an improvement in time to reach 50% enteral feeds in infants whose mothers received probiotics, but the estimate is imprecise (MD -9.60 days, 95% CI -19.04 to -0.16 days; 58 infants). No other improvement in any neonatal outcomes were reported. The estimates were imprecise and do not exclude the possibility of meaningful harms or benefits from maternal probiotic administration. There were no cases of culture-proven sepsis with the probiotic organism. The GRADE quality of evidence was judged to be low to very low due to inconsistency and imprecision. AUTHORS' CONCLUSIONS There is insufficient evidence to conclude whether there is appreciable benefit or harm to neonates of either oral supplementation of probiotics administered to pregnant women at low risk for preterm birth or oral supplementation of probiotics to mothers of preterm infants after birth. Oral supplementation of probiotics to mothers of preterm infants after birth may decrease time to 50% enteral feeds, however, this estimate is extremely imprecise. More research is needed for post-natal administration of probiotics to mothers of preterm infants, as well as to pregnant mothers at high risk for preterm birth.
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Affiliation(s)
| | - Marie Berg
- Johns Hopkins All Children's HospitalPediatrics/Neonatology601 Fifth Street South, Suite 501St. PetersburgFloridaUSA33606
| | - Roger Soll
- Larner College of Medicine at the University of VermontDivision of Neonatal‐Perinatal Medicine, Department of Pediatrics111 Colchester AvenueBurlingtonVermontUSA05401
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Euclydes VLV, Castro NP, Lima LR, Brito C, Ribeiro L, Simões FA, Requena G, Luzia LA, Rondó PH. Cord blood concentrations of leptin, zinc-α2-glycoprotein, and adiponectin, and adiposity gain during the first 3 mo of life. Nutrition 2018; 54:89-93. [PMID: 29758496 DOI: 10.1016/j.nut.2018.02.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 12/21/2017] [Accepted: 02/06/2018] [Indexed: 01/02/2023]
Abstract
OBJECTIVES Adipose tissue development starts in intrauterine life and cytokines are involved in this process. Therefore, understanding the role of cytokines in the fat mass gain of infants is crucial to prevent obesity later in life. Furthermore, recent evidence indicates a sex-specific link between cytokines and adipose tissue development. The objective of this study was to assess sex-specific relationships of cord blood concentrations of the cytokines leptin, zinc-α2-glycoprotein (ZAG), and adiponectin with infant adiposity during the first 3 mo of life. METHODS This was a prospective cohort study of 104 mother-infant pairs that were selected from a maternity hospital in Sao Paulo, Brazil. Cord blood leptin, ZAG, and adiponectin were determined by enzyme-linked immunosorbent assays. The body composition of the infants was assessed monthly by air displacement plethysmography. A multiple linear regression analysis was conducted with the average fat mass gain from birth to the third month of life as the outcome and cord blood leptin, ZAG, and adiponectin as the variables of interest. RESULTS Leptin was inversely associated with fat mass gain in the first 3 mo of life (P = 0.003; adjusted R2 = 0.09). There were inverse associations of leptin (P = 0.021), ZAG (P = 0.042), and maternal body mass index (P = 0.04) with fat mass gain in girls (adjusted R2 = 0.29) but fat mass gain in boys was positively associated with gestational age (P = 0.01; adjusted R2 = 0.15). CONCLUSIONS The results of this study suggest that adiposity programming is sex-specific, which highlights the need to investigate the different metabolic mechanisms that are involved in adipogenesis.
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Affiliation(s)
- Verônica L V Euclydes
- Postgraduate Program in Applied Human Nutrition, University of Sao Paulo, Sao Paulo, Brazil
| | - Natalia P Castro
- Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil
| | - Lourdes R Lima
- Laboratory of Immunology, Adolfo Lutz Institute, Sao Paulo, Brazil
| | - Cyro Brito
- Laboratory of Immunology, Adolfo Lutz Institute, Sao Paulo, Brazil
| | - Laisa Ribeiro
- Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil
| | - Fernanda Agapito Simões
- Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil
| | - Guaraci Requena
- Institute of Mathematics and Statistics, University of Sao Paulo, Sao Paulo, Brazil
| | - Liania Alves Luzia
- Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil
| | - Patricia Helen Rondó
- Postgraduate Program in Applied Human Nutrition, University of Sao Paulo, Sao Paulo, Brazil; Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil.
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10
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Zhou P, Zhao Y, Zhang P, Li Y, Gui T, Wang J, Jin C, Che L, Li J, Lin Y, Xu S, Feng B, Fang Z, Wu D. Microbial Mechanistic Insight into the Role of Inulin in Improving Maternal Health in a Pregnant Sow Model. Front Microbiol 2017; 8:2242. [PMID: 29204137 PMCID: PMC5698696 DOI: 10.3389/fmicb.2017.02242] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 10/31/2017] [Indexed: 01/08/2023] Open
Abstract
General consumption of “western diet” characterized by high refined carbohydrates, fat and energy intake has resulted in a global obesity epidemics and related metabolic disturbance even for pregnant women. Pregnancy process is accompanied by substantial hormonal, metabolic and immunological changes during which gut microbiota is also remarkably remodeled. Dietary fiber has been demonstrated to have a striking role in shifting the microbial composition so as to improve host metabolism and health in non-pregnant individuals. The present study was conducted to investigate effects of adding a soluble dietary fiber inulin (0 or 1.5%) to low- or high- fat (0 or 5% fat addition) gestational diet on maternal and neonatal health and fecal microbial composition in a sow model. Results showed that inulin addition decreased the gestational body weight gain and fat accumulation induced by fat addition. Circulating concentrations of pro-inflammatory cytokine IL-6, adipokine leptin and chemerin were decreased by inulin supplementation. Inulin addition remarkably reduced the average BMI of newborn piglets and the within litter BMI distributions (%) ranging between 17 and 20 kg/m2, and increased the BMI distribution ranging between 14 and 17 kg/m2. 16S rRNA gene sequencing of the V3-V4 region showed that fecal microbial changes at different taxonomic levels triggered by inulin addition predisposed the pregnant sow to be thinner and lower inflammatory. Meanwhile, fecal microbial composition was also profoundly altered by gestation stage with distinct changes occurring at perinatal period. Most representative volatile fatty acid (VFA) producing-related genera changed dramatically when reaching the perinatal period and varied degrees of increases were detected with inulin addition. Fecal VFA concentrations failed to show any significant effect with dietary intervention, however, were markedly increased at perinatal period. Our findings indicate that positive microbial changes resulted by 1.5% soluble fiber inulin addition would possibly be the potential mechanisms under which maternal body weight, metabolic and inflammatory status and neonatal BMI were improved. Besides, distinct changes of microbial community at perinatal period indicated the mother sow is undergoing a catabolic state with increased energy loss and inflammation response at that period compared with other stages of gestation.
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Affiliation(s)
- Pan Zhou
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Yang Zhao
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Pan Zhang
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Yan Li
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Taotao Gui
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Jun Wang
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Chao Jin
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Lianqiang Che
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Jian Li
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Yan Lin
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Shengyu Xu
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Bin Feng
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Zhengfeng Fang
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - De Wu
- Key Laboratory of Animal Disease-Resistance Nutrition and Feed Science, Ministry of Agriculture, People's Republic of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
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11
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Tieu J, Shepherd E, Middleton P, Crowther CA. Dietary advice interventions in pregnancy for preventing gestational diabetes mellitus. Cochrane Database Syst Rev 2017; 1:CD006674. [PMID: 28046205 PMCID: PMC6464792 DOI: 10.1002/14651858.cd006674.pub3] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a form of diabetes occurring during pregnancy which can result in short- and long-term adverse outcomes for women and babies. With an increasing prevalence worldwide, there is a need to assess strategies, including dietary advice interventions, that might prevent GDM. OBJECTIVES To assess the effects of dietary advice interventions for preventing GDM and associated adverse health outcomes for women and their babies. SEARCH METHODS We searched Cochrane Pregnancy and Childbirth's Trials Register (3 January 2016) and reference lists of retrieved studies. SELECTION CRITERIA Randomised controlled trials (RCTs) and quasi-RCTs assessing the effects of dietary advice interventions compared with no intervention (standard care), or to different dietary advice interventions. Cluster-RCTs were eligible for inclusion but none were identified. DATA COLLECTION AND ANALYSIS Two review authors independently assessed study eligibility, extracted data and assessed the risk of bias of the included studies. Data were checked for accuracy. The quality of the evidence was assessed using the GRADE approach. MAIN RESULTS We included 11 trials involving 2786 women and their babies, with an overall unclear to moderate risk of bias. Six trials compared dietary advice interventions with standard care; four compared low glycaemic index (GI) with moderate- to high-GI dietary advice; one compared specific (high-fibre focused) with standard dietary advice. Dietary advice interventions versus standard care (six trials) Considering primary outcomes, a trend towards a reduction in GDM was observed for women receiving dietary advice compared with standard care (average risk ratio (RR) 0.60, 95% confidence interval (CI) 0.35 to 1.04; five trials, 1279 women; Tau² = 0.20; I² = 56%; P = 0.07; GRADE: very low-quality evidence); subgroup analysis suggested a greater treatment effect for overweight and obese women receiving dietary advice. While no clear difference was observed for pre-eclampsia (RR 0.61, 95% CI 0.25 to 1.46; two trials, 282 women; GRADE: low-quality evidence) a reduction in pregnancy-induced hypertension was observed for women receiving dietary advice (RR 0.30, 95% CI 0.10 to 0.88; two trials, 282 women; GRADE: low-quality evidence). One trial reported on perinatal mortality, and no deaths were observed (GRADE: very low-quality evidence). None of the trials reported on large-for-gestational age or neonatal mortality and morbidity.For secondary outcomes, no clear differences were seen for caesarean section (average RR 0.98, 95% CI 0.78 to 1.24; four trials, 1194 women; Tau² = 0.02; I² = 36%; GRADE: low-quality evidence) or perineal trauma (RR 0.83, 95% CI 0.23 to 3.08; one trial, 759 women; GRADE: very low-quality evidence). Women who received dietary advice gained less weight during pregnancy (mean difference (MD) -4.70 kg, 95% CI -8.07 to -1.34; five trials, 1336 women; Tau² = 13.64; I² = 96%; GRADE: low-quality evidence); the result should be interpreted with some caution due to considerable heterogeneity. No clear differences were seen for the majority of secondary outcomes reported, including childhood/adulthood adiposity (skin-fold thickness at six months) (MD -0.10 mm, 95% CI -0.71 to 0.51; one trial, 132 children; GRADE: low-quality evidence). Women receiving dietary advice had a lower well-being score between 14 and 28 weeks, more weight loss at three months, and were less likely to have glucose intolerance (one trial).The trials did not report on other secondary outcomes, particularly those related to long-term health and health service use and costs. We were not able to assess the following outcomes using GRADE: postnatal depression; maternal type 2 diabetes; neonatal hypoglycaemia; childhood/adulthood type 2 diabetes; and neurosensory disability. Low-GI dietary advice versus moderate- to high-GI dietary advice (four trials) Considering primary outcomes, no clear differences were shown in the risks of GDM (RR 0.91, 95% CI 0.63 to 1.31; four trials, 912 women; GRADE: low-quality evidence) or large-for-gestational age (average RR 0.60, 95% CI 0.19 to 1.86; three trials, 777 babies; Tau² = 0.61; P = 0.07; I² = 62%; GRADE: very low-quality evidence) between the low-GI and moderate- to high-GI dietary advice groups. The trials did not report on: hypertensive disorders of pregnancy; perinatal mortality; neonatal mortality and morbidity.No clear differences were shown for caesarean birth (RR 1.27, 95% CI 0.79 to 2.04; two trials, 201 women; GRADE: very low-quality evidence) and gestational weight gain (MD -1.23 kg, 95% CI -4.08 to 1.61; four trials, 787 women; Tau² = 7.31; I² = 90%; GRADE: very low-quality evidence), or for other reported secondary outcomes.The trials did not report the majority of secondary outcomes including those related to long-term health and health service use and costs. We were not able to assess the following outcomes using GRADE: perineal trauma; postnatal depression; maternal type 2 diabetes; neonatal hypoglycaemia; childhood/adulthood adiposity; type 2 diabetes; and neurosensory disability. High-fibre dietary advice versus standard dietary advice (one trial) The one trial in this comparison reported on two secondary outcomes. No clear difference between the high-fibre and standard dietary advice groups observed for mean blood glucose (following an oral glucose tolerance test at 35 weeks), and birthweight. AUTHORS' CONCLUSIONS Very low-quality evidence from five trials suggests a possible reduction in GDM risk for women receiving dietary advice versus standard care, and low-quality evidence from four trials suggests no clear difference for women receiving low- versus moderate- to high-GI dietary advice. A possible reduction in pregnancy-induced hypertension for women receiving dietary advice was observed and no clear differences were seen for other reported primary outcomes. There were few outcome data for secondary outcomes.For outcomes assessed using GRADE, evidence was considered to be low to very low quality, with downgrading based on study limitations (risk of bias), imprecision, and inconsistency.More high-quality evidence is needed to determine the effects of dietary advice interventions in pregnancy. Future trials should be designed to monitor adherence, women's views and preferences, and powered to evaluate effects on short- and long-term outcomes; there is a need for such trials to collect and report on core outcomes for GDM research. We have identified five ongoing studies and four are awaiting classification. We will consider these in the next review update.
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Affiliation(s)
- Joanna Tieu
- The University of AdelaideARCH: Australian Research Centre for Health of Women and Babies, Robinson Research Institute, Discipline of Obstetrics and GynaecologyWomen's and Children's Hospital, 1st floor, Queen Victoria Building72 King William RoadAdelaideSouth AustraliaAustralia5006
| | - Emily Shepherd
- The University of AdelaideARCH: Australian Research Centre for Health of Women and Babies, Robinson Research Institute, Discipline of Obstetrics and GynaecologyWomen's and Children's Hospital, 1st floor, Queen Victoria Building72 King William RoadAdelaideSouth AustraliaAustralia5006
| | - Philippa Middleton
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research InstituteWomen's and Children's Hospital72 King William RoadAdelaideSouth AustraliaAustralia5006
| | - Caroline A Crowther
- The University of AucklandLiggins InstitutePrivate Bag 9201985 Park RoadAucklandNew Zealand
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12
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Development of Dissociation-Enhanced Lanthanide Fluoroimmunoassay for Measuring Leptin. J Fluoresc 2016; 26:1715-21. [PMID: 27343179 DOI: 10.1007/s10895-016-1862-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Accepted: 06/14/2016] [Indexed: 10/21/2022]
Abstract
Development of a dissociation-enhanced lanthanide fluoroimmunoassay (DELFIA) for measuring leptin, a satiety hormone of appetite control, was conducted in sandwich assay format exploiting a microplate immobilized with an anti-leptin antibody and another antibody raised against leptin and tagged with an europium chelate. In the leptin DELFIA of this study, amounts of antibody coated to the microplate and of the bioconjugate for the second immune reaction were optimized as 0.5 μg and 200 ng per well, respectively. When plotted in double-logarithmic scale, a linear relationship of y (log10 response signal) = 0.6023× (log10 leptin concentration) + 3.4084 (r(2) = 0.9646) was obtained at the leptin concentrations of 0.01─50 ng/mL with the limit of detection of 0.01 ng/mL. Individual leptin concentrations in various samples were well convergent to the calibration curve of the current assay. When applied to the measurement of leptin in a rat serum, the present assay was found quite effective and was competitive to a commercial sandwich-type ELISA.
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13
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Lepsch J, Farias DR, Vaz JDS, de Jesus Pereira Pinto T, da Silva Lima N, Freitas Vilela AA, Cunha M, Factor-Litvak P, Kac G. Serum saturated fatty acid decreases plasma adiponectin and increases leptin throughout pregnancy independently of BMI. Nutrition 2016; 32:740-7. [PMID: 27036610 DOI: 10.1016/j.nut.2016.01.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Revised: 01/06/2016] [Accepted: 01/20/2016] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The aim of this study was to investigate whether serum concentrations of total saturated fatty acids (SFAs), polyunsaturated fatty acids (PUFAs), and their fractions are associated with plasma adiponectin and leptin concentrations throughout pregnancy. METHODS A prospective cohort of 201 pregnant women was followed from gestational weeks 5 to 13, 20 to 26, and 30 to 36. Blood samples were collected at the three visits after 12 h of fasting. Fatty acid concentrations were determined using fast gas-liquid chromatography. Plasma adiponectin (μg/mL) and leptin (ng/dL) concentrations were evaluated using enzyme-linked immunosorbent assay kits. Statistical analyses included median adipokine concentrations according to the tertiles of fatty acid distribution and multiple linear mixed-effect models adjusted for body mass index, gestational age, total energy intake, alcohol consumption, and smoking. RESULTS Women classified in the third SFA concentration tertile had lower median values of adiponectin compared with those in the first tertile ([first trimester: first tertile = 5.36; third tertile = 5.00]; [second trimester: first tertile = 6.39; third tertile = 4.47]; [third trimester: first tertile = 6.46; third tertile = 4.60]). Similar trends were observed for the 14:0, 16:0 and 18:0 fractions. In the multiple longitudinal models, total SFA (β = -41.039; P = 0.008) and 16:0 were negatively associated with plasma adiponectin (16:0, β = -0.511; P = 0.001). Total PUFA ω-6 (β = 28.961; P = 0.002) and 18:2 ω-6 (β = 0.259, P = 0.006) were positively associated with the adiponectin. Total SFA (β = 0.110, P = 0.007), 14:0 (β = 0.072, P = 0.011), and 20:3 ω-6 (β = 0.039; P = 0.035) were positively associated with plasma leptin. CONCLUSIONS Total serum SFA and the 16:0 fraction were negatively associated with plasma adiponectin and positively associated with leptin concentrations. Total ω-6 PUFA was positively associated only with plasma adiponectin concentrations throughout pregnancy.
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Affiliation(s)
- Jaqueline Lepsch
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Rio de Janeiro Federal University, Rio de Janeiro, Brazil
| | - Dayana Rodrigues Farias
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Rio de Janeiro Federal University, Rio de Janeiro, Brazil
| | | | - Thatiana de Jesus Pereira Pinto
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Rio de Janeiro Federal University, Rio de Janeiro, Brazil
| | - Natália da Silva Lima
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Rio de Janeiro Federal University, Rio de Janeiro, Brazil
| | - Ana Amélia Freitas Vilela
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Rio de Janeiro Federal University, Rio de Janeiro, Brazil
| | - Marcelo Cunha
- National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Pam Factor-Litvak
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Gilberto Kac
- Rio de Janeiro Federal University, Josué de Castro Nutrition Institute, Department of Social and Applied Nutrition, Rio de Janeiro, Brazil.
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Muktabhant B, Lawrie TA, Lumbiganon P, Laopaiboon M. Diet or exercise, or both, for preventing excessive weight gain in pregnancy. Cochrane Database Syst Rev 2015; 2015:CD007145. [PMID: 26068707 PMCID: PMC9428894 DOI: 10.1002/14651858.cd007145.pub3] [Citation(s) in RCA: 275] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND This is an update of a Cochrane review first published in 2012, Issue 4. Excessive weight gain during pregnancy is associated with poor maternal and neonatal outcomes including gestational diabetes, hypertension, caesarean section, macrosomia, and stillbirth. Diet or exercise interventions, or both, may reduce excessive gestational weight gain (GWG) and associated poor outcomes; however, evidence from the original review was inconclusive. OBJECTIVES To evaluate the effectiveness of diet or exercise, or both, interventions for preventing excessive weight gain during pregnancy and associated pregnancy complications. SEARCH METHODS We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (5 November 2014), contacted investigators of the previously identified ongoing studies and scanned reference lists of retrieved studies. SELECTION CRITERIA Randomised controlled trials (RCTs) of diet or exercise, or both, interventions for preventing excessive weight gain in pregnancy. DATA COLLECTION AND ANALYSIS Two review authors independently assessed trials for inclusion and risk of bias, extracted data and checked them for accuracy. We organised RCTs according to the type of interventions and pooled data using the random-effects model in the Review Manager software. We also performed subgroup analyses according to the initial risk of adverse effects related to poor weight control. We performed sensitivity analysis to assess the robustness of the findings. MAIN RESULTS We included 65 RCTs, out of which 49 RCTs involving 11,444 women contributed data to quantitative meta-analysis. Twenty studies were at moderate-to-high risk of bias. Study interventions involved mainly diet only, exercise only, and combined diet and exercise interventions, usually compared with standard care. Study methods varied widely; therefore, we estimated the average effect across studies and performed sensitivity analysis, where appropriate, by excluding outliers and studies at high risk of bias.Diet or exercise, or both, interventions reduced the risk of excessive GWG on average by 20% overall (average risk ratio (RR) 0.80, 95% confidence interval (CI) 0.73 to 0.87; participants = 7096; studies = 24; I² = 52%). This estimate was robust to sensitivity analysis, which reduced heterogeneity, therefore we graded this evidence as high-quality. Interventions involving low glycaemic load diets, supervised or unsupervised exercise only, or diet and exercise combined all led to similar reductions in the number of women gaining excessive weight in pregnancy.Women receiving diet or exercise, or both interventions were more likely to experience low GWG than those in control groups (average RR 1.14, 95% CI 1.02 to 1.27; participants = 4422; studies = 11; I² = 3%; moderate-quality evidence). We found no difference between intervention and control groups with regard to pre-eclampsia (RR 0.95, 95% CI 0.77 to 1.16; participants = 5330; studies = 15; I² = 0%; high-quality evidence); however, maternal hypertension (not a pre-specified outcome) was reduced in the intervention group compared with the control group overall (average RR 0.70, 95% CI 0.51 to 0.96; participants = 5162; studies = 11; I² = 43%; low-quality evidence).There was no clear difference between groups with regard to caesarean delivery overall (RR 0.95, 95% CI 0.88 to 1.03; participants = 7534; studies = 28; I² = 9%; high-quality evidence); although the effect estimate suggested a small difference (5%) in favour of the interventions. In addition, for combined diet and exercise counselling interventions there was a 13% (-1% to 25%) reduction in this outcome (borderline statistical significance).We found no difference between groups with regard to preterm birth overall (average RR 0.91, 95% CI 0.68 to 1.22; participants = 5923; studies = 16; I² = 16%; moderate-quality evidence); however limited evidence suggested that these effect estimates may differ according to the types of interventions, with a trend towards an increased risk for exercise-only interventions.We found no clear difference between intervention and control groups with regard to infant macrosomia (average RR 0.93, 95% CI 0.86 to 1.02; participants = 8598; studies = 27; I² = 0%; high-quality evidence), although the effect estimate suggested a small difference (7% reduction) in favour of the intervention group. The largest effect size occurred in the supervised exercise-only intervention group (RR 0.81, 95% CI 0.64 to 1.02; participants = 2445; studies = 7; I² = 0%), which approached statistical significance (P = 0.07). Furthermore, in subgroup analysis by risk, high-risk women (overweight or obese women, or women with or at risk of gestational diabetes) receiving combined diet and exercise counselling interventions experienced a 15% reduced risk of infant macrosomia (average RR 0.85, 95% CI 0.73 to 1.00; participants = 3252; studies = nine; I² = 0; P = 0.05; moderate-quality evidence)There were no differences in the risk of poor neonatal outcomes including shoulder dystocia, neonatal hypoglycaemia, hyperbilirubinaemia, or birth trauma (all moderate-quality evidence) between intervention and control groups; however, infants of high-risk women had a reduced risk of respiratory distress syndrome if their mothers were in the intervention group (RR 0.47, 95% CI 0.26 to 0.85; participants = 2256; studies = two; I² = 0%; moderate-quality evidence). AUTHORS' CONCLUSIONS High-quality evidence indicates that diet or exercise, or both, during pregnancy can reduce the risk of excessive GWG. Other benefits may include a lower risk of caesarean delivery, macrosomia, and neonatal respiratory morbidity, particularly for high-risk women receiving combined diet and exercise interventions. Maternal hypertension may also be reduced. Exercise appears to be an important part of controlling weight gain in pregnancy and more research is needed to establish safe guidelines. Most included studies were carried out in developed countries and it is not clear whether these results are widely applicable to lower income settings.
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Affiliation(s)
- Benja Muktabhant
- Faculty of Public Health, Khon Kaen UniversityDepartment of Nutrition123 Friendship HighwayKhon KaenKhon KaenThailand40002
| | - Theresa A Lawrie
- World Health OrganizationDepartment of Reproductive Health and ResearchAvenue Appia 20GenevaSwitzerland1201
| | - Pisake Lumbiganon
- Khon Kaen UniversityDepartment of Obstetrics and Gynaecology, Faculty of Medicine123 Mitraparb RoadAmphur MuangKhon KaenThailand40002
| | - Malinee Laopaiboon
- Khon Kaen UniversityDepartment of Biostatistics and Demography, Faculty of Public Health123 Mitraparb RoadAmphur MuangKhon KaenThailand40002
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Ota E, Hori H, Mori R, Tobe-Gai R, Farrar D. Antenatal dietary education and supplementation to increase energy and protein intake. Cochrane Database Syst Rev 2015:CD000032. [PMID: 26031211 DOI: 10.1002/14651858.cd000032.pub3] [Citation(s) in RCA: 93] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Gestational weight gain is positively associated with fetal growth, and observational studies of food supplementation in pregnancy have reported increases in gestational weight gain and fetal growth. OBJECTIVES To assess the effects of education during pregnancy to increase energy and protein intake, or of actual energy and protein supplementation, on energy and protein intake, and the effect on maternal and infant health outcomes. SEARCH METHODS We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (31 January 2015), reference lists of retrieved studies and contacted researchers in the field. SELECTION CRITERIA Randomised controlled trials of dietary education to increase energy and protein intake, or of actual energy and protein supplementation, during pregnancy. DATA COLLECTION AND ANALYSIS Two review authors independently assessed trials for inclusion and assessed risk of bias. Two review authors independently extracted data and checked for accuracy. Extracted data were supplemented by additional information from the trialists we contacted. MAIN RESULTS We examined 149 reports corresponding to 65 trials. Of these trials, 17 were included, 46 were excluded, and two are ongoing. Overall, 17 trials involving 9030 women were included. For this update, we assessed methodological quality of the included trials using the standard Cochrane criteria (risk of bias) and the GRADE approach. The overall risk of bias was unclear. Nutritional education (five trials, 1090 women) Women given nutritional education had a lower relative risk of having a preterm birth (two trials, 449 women) (risk ratio (RR) 0.46, 95% CI 0.21 to 0.98, low-quality evidence), and low birthweight (one trial, 300 women) (RR 0.04, 95% CI 0.01 to 0.14). Head circumference at birth was increased in one trial (389 women) (mean difference (MD) 0.99 cm, 95% CI 0.43 to 1.55), while birthweight was significantly increased among undernourished women in two trials (320 women) (MD 489.76 g, 95% CI 427.93 to 551.59, low-quality evidence), but did not significantly increase for adequately nourished women (MD 15.00, 95% CI -76.30 to 106.30, one trial, 406 women). Protein intake increased significantly (three trials, 632 women) (protein intake: MD +6.99 g/day, 95% CI 3.02 to 10.97). No significant differences were observed on any other outcomes such as neonatal death (RR 1.28, 95% CI 0.35 to 4.72, one trial, 448 women, low-quality evidence), stillbirth (RR 0.37, 95% CI 0.07 to 1.90, one trial, 431 women, low-quality evidence), small-for-gestational age (RR 0.97, 95% CI 0.45 to 2.11, one trial, 404 women, low-quality evidence) and total gestational weight gain (MD -0.41, 95% CI -4.41 to 3.59, two trials, 233 women). There were no data on perinatal death. Balanced energy and protein supplementation (12 trials, 6705 women)Risk of stillbirth was significantly reduced for women given balanced energy and protein supplementation (RR 0.60, 95% CI 0.39 to 0.94, five trials, 3408 women, moderate-quality evidence), and the mean birthweight was significantly increased (random-effects MD +40.96 g, 95% CI 4.66 to 77.26, Tau² = 1744, I² = 44%, 11 trials, 5385 women, moderate-quality evidence). There was also a significant reduction in the risk of small-for-gestational age (RR 0.79, 95% CI 0.69 to 0.90, I² = 16%, seven trials, 4408 women, moderate-quality evidence). No significant effect was detected for preterm birth (RR 0.96, 95% CI 0.80 to 1.16, five trials, 3384 women, moderate-quality evidence) or neonatal death (RR 0.68, 95% CI 0.43 to 1.07, five trials, 3381 women, low-quality evidence). Weekly gestational weight gain was not significantly increased (MD 18.63, 95% CI -1.81 to 39.07, nine trials, 2391 women, very low quality evidence). There were no data reported on perinatal death and low birthweight. High-protein supplementation (one trial, 1051 women)High-protein supplementation (one trial, 505 women), was associated with a significantly increased risk of small-for-gestational age babies (RR 1.58, 95% CI 1.03 to 2.41, moderate-quality evidence). There was no significant effect for stillbirth (RR 0.81, 95% CI 0.31 to 2.15, one trial, 529 women), neonatal death (RR 2.78, 95% CI 0.75 to 10.36, one trial, 529 women), preterm birth (RR 1.14, 95% CI 0.83 to 1.56, one trial, 505 women), birthweight (MD -73.00, 95% CI -171.26 to 25.26, one trial, 504 women) and weekly gestational weight gain (MD 4.50, 95% CI -33.55 to 42.55, one trial, 486 women, low-quality evidence). No data were reported on perinatal death. Isocaloric protein supplementation (two trials, 184 women)Isocaloric protein supplementation (two trials, 184 women) had no significant effect on birthweight (MD 108.25, 95% CI -220.89 to 437.40) and weekly gestational weight gain (MD 110.45, 95% CI -82.87 to 303.76, very low-quality evidence). No data reported on perinatal mortality, stillbirth, neonatal death, small-for-gestational age, and preterm birth. AUTHORS' CONCLUSIONS This review provides encouraging evidence that antenatal nutritional education with the aim of increasing energy and protein intake in the general obstetric population appears to be effective in reducing the risk of preterm birth, low birthweight, increasing head circumference at birth, increasing birthweight among undernourished women, and increasing protein intake. There was no evidence of benefit or adverse effect for any other outcome reported.Balanced energy and protein supplementation seems to improve fetal growth, and may reduce the risk of stillbirth and infants born small-for-gestational age. High-protein supplementation does not seem to be beneficial and may be harmful to the fetus. Balanced-protein supplementation alone had no significant effects on perinatal outcomes.The results of this review should be interpreted with caution. The risk of bias was either unclear or high for at least one category examined in several of the included trials, and the quality of the evidence was low for several important outcomes. Also, as the anthropometric characteristics of the general obstetric population is changing, those developing interventions aimed at altering energy and protein intake should ensure that only those women likely to benefit are included. Large, well-designed randomised trials are needed to assess the effects of increasing energy and protein intake during pregnancy in women whose intake is below recommended levels.
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Affiliation(s)
- Erika Ota
- Department of Health Policy, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, Japan, 157-8535
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Karlsson Videhult F, Andersson Y, Öhlund I, Stenlund H, Hernell O, West CE. Impact of probiotics during weaning on the metabolic and inflammatory profile: follow-up at school age. Int J Food Sci Nutr 2015; 66:686-91. [DOI: 10.3109/09637486.2015.1025717] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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