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Yang X, Bhowmick K, Rao S, Xiang X, Ohshiro K, Amdur RL, Hassan MI, Mohammad T, Crandall K, Cifani P, Shetty K, Lyons SK, Merrill JR, Vegesna AK, John S, Latham PS, Crawford JM, Mishra B, Dasarathy S, Wang XW, Yu H, Wang Z, Huang H, Krainer AR, Mishra L. Aldehydes alter TGF-β signaling and induce obesity and cancer. Cell Rep 2024; 43:114676. [PMID: 39217614 DOI: 10.1016/j.celrep.2024.114676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 06/24/2024] [Accepted: 08/08/2024] [Indexed: 09/04/2024] Open
Abstract
Obesity and fatty liver diseases-metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH)-affect over one-third of the global population and are exacerbated in individuals with reduced functional aldehyde dehydrogenase 2 (ALDH2), observed in approximately 560 million people. Current treatment to prevent disease progression to cancer remains inadequate, requiring innovative approaches. We observe that Aldh2-/- and Aldh2-/-Sptbn1+/- mice develop phenotypes of human metabolic syndrome (MetS) and MASH with accumulation of endogenous aldehydes such as 4-hydroxynonenal (4-HNE). Mechanistic studies demonstrate aberrant transforming growth factor β (TGF-β) signaling through 4-HNE modification of the SMAD3 adaptor SPTBN1 (β2-spectrin) to pro-fibrotic and pro-oncogenic phenotypes, which is restored to normal SMAD3 signaling by targeting SPTBN1 with small interfering RNA (siRNA). Significantly, therapeutic inhibition of SPTBN1 blocks MASH and fibrosis in a human model and, additionally, improves glucose handling in Aldh2-/- and Aldh2-/-Sptbn1+/- mice. This study identifies SPTBN1 as a critical regulator of the functional phenotype of toxic aldehyde-induced MASH and a potential therapeutic target.
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Affiliation(s)
- Xiaochun Yang
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Krishanu Bhowmick
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Shuyun Rao
- Department of Surgery, George Washington University, Washington, DC 20037, USA
| | - Xiyan Xiang
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Kazufumi Ohshiro
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA
| | - Richard L Amdur
- Quantitative Intelligence Unit, The Institutes for Health Systems Science & Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA
| | - Md Imtaiyaz Hassan
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Taj Mohammad
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Keith Crandall
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, George Washington University, Washington, DC 20037, USA
| | - Paolo Cifani
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Kirti Shetty
- Department of Gastroenterology and Hepatology, the University of Maryland, School of Medicine, Baltimore, MD 21201, USA
| | - Scott K Lyons
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Joseph R Merrill
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Anil K Vegesna
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Sahara John
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Patricia S Latham
- Department of Pathology, George Washington University, Washington, DC 20037, USA
| | - James M Crawford
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra, Northwell Health, Manhasset, NY 11030, USA
| | - Bibhuti Mishra
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Department of Neurology, Northwell Health, Manhasset, NY 11030, USA
| | - Srinivasan Dasarathy
- Division of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, OH 44106, USA
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Herbert Yu
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Zhanwei Wang
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Hai Huang
- Center for Immunology and Inflammation, Feinstein Institutes for Medical Research, Donald and Barbara Zucker School of Medicine at Hofstra, Northwell Health, Manhasset, NY 11030, USA
| | - Adrian R Krainer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Lopa Mishra
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Department of Surgery, George Washington University, Washington, DC 20037, USA.
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Khil J, Chen QY, Lee DH, Hong KW, Keum N. Water intake and obesity: By amount, timing, and perceived temperature of drinking water. PLoS One 2024; 19:e0301373. [PMID: 38662725 PMCID: PMC11045127 DOI: 10.1371/journal.pone.0301373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 03/11/2024] [Indexed: 04/28/2024] Open
Abstract
Water intake has been suggested to be associated with weight control, but evidence for optimal water intake in terms of amount, timing, and temperature is sparse. Additionally, genetic predisposition to obesity, which affects satiety and energy expenditure, might interact with water intake in regulating individual adiposity risk. We conducted a cross-sectional study recruiting 172 Korean adults. Information on water intake and lifestyle factors was collected through self-reported questionnaires, and height, weight, and waist circumference (WC) were measured by researchers. The oral buccal swab was performed for genotyping of FTO rs9939609, MC4R rs17782313, BDNF rs6265 and genetic risk of obesity was calculated. Linear regression was performed to estimate mean difference in body mass index (BMI) and WC by water intake and its 95% confidence interval (95% CI). As a sensitivity analysis, logistic regression was performed to estimate odds ratio (OR) of obesity/overweight (BMI of ≥23kg/m2; WC of ≥90cm for men and of ≥80cm for women) and its 95% CI. Drinking >1L/day was significantly associated with higher BMI (mean difference: 0.90, 95% CI 0.09, 1.72) and WC (mean difference: 3.01, 95% CI 0.62, 5.41) compared with drinking ≤1L/day. Independent of total water intake, drinking before bedtime was significantly associated with lower BMI (mean difference: -0.98, 95% CI -1.91, -0.05). The results remained consistent when continuous BMI and WC were analyzed as categorical outcomes. By perceived temperature, drinking >1L/day of cold water was associated with higher BMI and WC compared with drinking ≤1L/day of water at room-temperature. By genetic predisposition to obesity, a positive association between water intake and WC was confined to participants with low genetic risk of obesity (P interaction = 0.04). In conclusion, amount, timing, and perceived temperature of water intake may be associated with adiposity risk and the associations might vary according to genetic predisposition to obesity.
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Affiliation(s)
- Jaewon Khil
- Department of Food Science and Biotechnology, Dongguk University, Goyang, South Korea
| | - Qiao-Yi Chen
- Department of Food Science and Biotechnology, Dongguk University, Goyang, South Korea
| | - Dong Hoon Lee
- Department of Sport Industry Studies, Yonsei University, Seoul, South Korea
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | | | - NaNa Keum
- Department of Food Science and Biotechnology, Dongguk University, Goyang, South Korea
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
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Yang W, Li X, Li X, Hu B, Xu S, Zhang H, Wang Y, Jin T, He Y. Impact of missense TSBP1 variants on the susceptibility to coronary heart disease. Gene 2024; 896:148042. [PMID: 38042215 DOI: 10.1016/j.gene.2023.148042] [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: 09/06/2023] [Revised: 11/17/2023] [Accepted: 11/27/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND A genome-wide association study has recognized C6orf10-BTNL2 polymorphism in coronary artery disease. The goal of this study was to explore the potential correlation of nine missense TSBP1 variants with coronary heart disease (CHD) risk in the Chinese Han population. METHODS Nine TSBP1 missense single nucleotide polymorphisms (SNPs) were selected for genotyping by the Agena MassARRAY platform. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to analyze the contribution of TSBP1 SNPs to CHD predisposition by logistic regression models adjusted by age, sex, drinking, and smoking. The correlation of TSBP1 variants with clinical data in CHD patients was examined by Kruskal-Wallis test. RESULTS rs9268368-C (p = 0.039, OR = 1.18, 95 % CI: 1.01-1.38) was related to an increased risk of CHD, while rs3749966-C (p = 0.032, OR = 0.49, 95 % CI: 0.25-0.96) and rs3129941-A (p = 0.011, OR = 0.74, 95 % CI: 0.59-0.93) might be protective factors against CHD occurrence in the Chinese Han population. We also observed the effects of demographic characteristics (age, sex, alcohol consumption, and smoking) and complications (hypertension and diabetes) on the interactive association of TSBP1 polymorphisms with CHD susceptibility. rs139993810 was related to the levels of high-density lipoprotein cholesterol (HDL-C, p = 0.030). CONCLUSIONS Our findings determined the association of TSBP1 rs9268368, rs3749966, and rs3129941 with CHD occurrence in the Chinese Han population, and highlighted the influence of demographic characteristics and complications on the interactive association of TSBP1 polymorphisms with CHD risk.
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Affiliation(s)
- Wei Yang
- Department of Emergency, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Xuguang Li
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Xuemei Li
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Baoping Hu
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Department of Anesthesia, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Shilin Xu
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Department of Clinical Laboratory, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Hengxun Zhang
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Department of Healthcare, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Yuhe Wang
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Department of Clinical Laboratory, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Tianbo Jin
- School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Yongjun He
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
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Khil J, Kim S, Lee M, Gil H, Kang SS, Lee DH, Kwon Y, Keum N. AHR rs4410790 genotype and IgG levels: Effect modification by lifestyle factors. PLoS One 2023; 18:e0290700. [PMID: 37782632 PMCID: PMC10545101 DOI: 10.1371/journal.pone.0290700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 08/15/2023] [Indexed: 10/04/2023] Open
Abstract
Inflammation is a multifaceted marker resulting from complex interactions between genetic and lifestyle factors. Emerging evidence suggests Aryl hydrocarbon receptor (AHR) protein may be implicated in the regulation of immune system and inflammatory responses. To investigate whether rs4410790 genotype (TT, TC, CC) near AHR gene is related to serum IgG levels, a marker of chronic inflammation, and whether lifestyle factors modifies the relationship, we conducted a cross-sectional study by recruiting 168 Korean adults. Participants responded to a lifestyle questionnaire and provided oral epithelial cells and blood samples for biomarker assessment. Among these participants, C allele was the minor allele, with the minor allele frequency of 40%. The rs4410790 TT genotype was significantly associated with elevated IgG levels compared with TC/CC genotypes, after adjusting for potential confounders (p = 0.04). The relationship varied significantly by levels of alcohol consumption (P interaction = 0.046) and overweight/obese status (P interaction = 0.02), but not by smoking status (P interaction = 0.64) and coffee consumption (P interaction = 0.55). Specifically, higher IgG levels associated with the TT genotype were evident in frequent drinkers and individuals with BMI≥23kg/m2, but not in their counterparts. Thus, rs4410790 genotype may be associated with IgG levels and the genetic predisposition to higher IgG levels may be mitigated by healthy lifestyle factors like infrequent drinking and healthy weight.
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Affiliation(s)
- Jaewon Khil
- Department of Food Science and Biotechnology, Dongguk University, Seoul, Korea
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Soyoun Kim
- Department of Biomedical Engineering, Dongguk University, Seoul, Korea
| | - Minhyeong Lee
- Department of Biomedical Engineering, Dongguk University, Seoul, Korea
| | - Hyeonmin Gil
- Department of Food Science and Biotechnology, Dongguk University, Seoul, Korea
| | - Seok-Seong Kang
- Department of Food Science and Biotechnology, Dongguk University, Seoul, Korea
| | - Dong Hoon Lee
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Sport Industry Studies, Yonsei University, Seoul, Republic of Korea
| | - Youngeun Kwon
- Department of Biomedical Engineering, Dongguk University, Seoul, Korea
| | - NaNa Keum
- Department of Food Science and Biotechnology, Dongguk University, Seoul, Korea
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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Barreto P, Farinha C, Coimbra R, Cachulo ML, Melo JB, Lechanteur Y, Hoyng CB, Cunha-Vaz J, Silva R. Interaction between genetics and the adherence to the Mediterranean diet: the risk for age-related macular degeneration. Coimbra Eye Study Report 8. EYE AND VISION (LONDON, ENGLAND) 2023; 10:38. [PMID: 37580831 PMCID: PMC10424352 DOI: 10.1186/s40662-023-00355-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 07/25/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND Age-related macular degeneration (AMD) is a multifactorial degenerative disease of the macula. Different factors, environmental, genetic and lifestyle, contribute to its onset and progression. However, how they interconnect to promote the disease, or its progression, is still unclear. With this work, we aim to assess the interaction of the genetic risk for AMD and the adherence to the Mediterranean diet in the Coimbra Eye Study. METHODS Enrolled subjects (n = 612) underwent ophthalmological exams and answered a food questionnaire. Adherence to the Mediterranean diet was assessed with mediSCORE. An overall value was calculated for each participant, ranging from 0 to 9, using the sum of 9 food groups, and a cut off value of ≥ 6 was considered high adherence. Rotterdam Classification was used for grading. Participants' genotyping was performed in collaboration with The European Eye Epidemiology Consortium. The genetic risk score (GRS) was calculated for each participant considering the number of alleles at each variant and their effect size. Interaction was assessed with additive and multiplicative models, adjusted for age, sex, physical exercise, and smoking. RESULTS The AMD risk was reduced by 60% in subjects with high adherence to the Mediterranean diet compared to subjects with low adherence to the Mediterranean diet. Combined effects of having low adherence to the Mediterranean diet and high GRS led to almost a 5-fold increase in the risk for AMD, compared to low GRS and high adherence to the Mediterranean diet. The multiplicative scale suggested a multiplicative interaction, although not statistically significant [odds ratio (OR) = 1.111, 95% CI 0.346-3.569, P = 0.859]. The additive model showed a causal positive effect of the interaction of GRS and adherence to the Mediterranean diet: relative excess risk due to interaction (RERI) = 150.9%, (95% CI: - 0.414 to 3.432, P = 0.062), attributable proportion due to interaction (AP) = 0.326 (95% CI: - 0.074 to 0.726, P = 0.055) and synergy index (SI) = 1.713 (95% CI: 0.098-3.329, P = 0.019). High GRS people benefited from adhering to the Mediterranean diet with a 60% risk reduction. For low-GRS subjects, a risk reduction was also seen, but not significantly. CONCLUSIONS Genetics and Mediterranean diet interact to protect against AMD, proving there is an interplay between genetics and environmental factors. TRIAL REGISTRATION The AMD Incidence (NCT02748824) and Lifestyle and Food Habits Questionnaire in the Portuguese Population Aged 55 or More (NCT01715870) studies are registered at www. CLINICALTRIALS gov . Five-year Incidence of Age-related Macular Degeneration in the Central Region of Portugal (AMD IncidencePT); NCT02748824: date of registration: 22/04/16. Lifestyle and Food Habits Questionnaire in the Portuguese Population Aged 55 or More; NCT01715870: date of registration: 29/10/12.
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Affiliation(s)
- Patrícia Barreto
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal.
- Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal.
- Univ Coimbra, Centre for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal.
| | - Cláudia Farinha
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal
- Univ Coimbra, Centre for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
- Ophthalmology Department, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Rita Coimbra
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
| | - Maria Luz Cachulo
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Ophthalmology Department, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Joana Barbosa Melo
- Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal
- Univ Coimbra, Centre for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
- Cytogenetics and Genomics Laboratory, Clinical Academic Center of Coimbra (CACC), Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Univ Coimbra, Center of Investigation in Environment, Genetics and Oncobiology (CIMAGO), Faculty of Medicine, Coimbra, Portugal
| | - Yara Lechanteur
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Carel B Hoyng
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - José Cunha-Vaz
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
| | - Rufino Silva
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal
- Univ Coimbra, Centre for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
- Ophthalmology Department, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Faculty of Medicine, University of Coimbra, Coimbra, Portugal
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Sherva R, Zhang R, Sahelijo N, Jun G, Anglin T, Chanfreau C, Cho K, Fonda JR, Gaziano JM, Harrington KM, Ho YL, Kremen WS, Litkowski E, Lynch J, Neale Z, Roussos P, Marra D, Mez J, Miller MW, Salat DH, Tsuang D, Wolf E, Zeng Q, Panizzon MS, Merritt VC, Farrer LA, Hauger RL, Logue MW. African ancestry GWAS of dementia in a large military cohort identifies significant risk loci. Mol Psychiatry 2023; 28:1293-1302. [PMID: 36543923 PMCID: PMC10066923 DOI: 10.1038/s41380-022-01890-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 11/02/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022]
Abstract
While genome wide association studies (GWASs) of Alzheimer's Disease (AD) in European (EUR) ancestry cohorts have identified approximately 83 potentially independent AD risk loci, progress in non-European populations has lagged. In this study, data from the Million Veteran Program (MVP), a biobank which includes genetic data from more than 650,000 US Veteran participants, was used to examine dementia genetics in an African descent (AFR) cohort. A GWAS of Alzheimer's disease and related dementias (ADRD), an expanded AD phenotype including dementias such as vascular and non-specific dementia that included 4012 cases and 18,435 controls age 60+ in AFR MVP participants was performed. A proxy dementia GWAS based on survey-reported parental AD or dementia (n = 4385 maternal cases, 2256 paternal cases, and 45,970 controls) was also performed. These two GWASs were meta-analyzed, and then subsequently compared and meta-analyzed with the results from a previous AFR AD GWAS from the Alzheimer's Disease Genetics Consortium (ADGC). A meta-analysis of common variants across the MVP ADRD and proxy GWASs yielded GWAS significant associations in the region of APOE (p = 2.48 × 10-101), in ROBO1 (rs11919682, p = 1.63 × 10-8), and RNA RP11-340A13.2 (rs148433063, p = 8.56 × 10-9). The MVP/ADGC meta-analysis yielded additional significant SNPs near known AD risk genes TREM2 (rs73427293, p = 2.95 × 10-9), CD2AP (rs7738720, p = 1.14 × 10-9), and ABCA7 (rs73505251, p = 3.26 × 10-10), although the peak variants observed in these genes differed from those previously reported in EUR and AFR cohorts. Of the genes in or near suggestive or genome-wide significant associated variants, nine (CDA, SH2D5, DCBLD1, EML6, GOPC, ABCA7, ROS1, TMCO4, and TREM2) were differentially expressed in the brains of AD cases and controls. This represents the largest AFR GWAS of AD and dementia, finding non-APOE GWAS-significant common SNPs associated with dementia. Increasing representation of AFR participants is an important priority in genetic studies and may lead to increased insight into AD pathophysiology and reduce health disparities.
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Affiliation(s)
- Richard Sherva
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
| | - Rui Zhang
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
| | - Nathan Sahelijo
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
| | - Gyungah Jun
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
| | - Tori Anglin
- VA Informatics and Computing Infrastructure (VINCI), Salt Lake City, UT, USA
| | - Catherine Chanfreau
- VA Informatics and Computing Infrastructure (VINCI), Salt Lake City, UT, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Aging, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jennifer R Fonda
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Aging, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kelly M Harrington
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - William S Kremen
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Elizabeth Litkowski
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- VA Eastern Colorado Healthcare System, Aurora, CO, USA
| | - Julie Lynch
- VA Informatics and Computing Infrastructure (VINCI), Salt Lake City, UT, USA
| | - Zoe Neale
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Panos Roussos
- Center for Disease Neurogenomics, Departments of Psychiatry and Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, New York, NY, USA
| | - David Marra
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Jesse Mez
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Mark W Miller
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - David H Salat
- Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA
| | - Debby Tsuang
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Erika Wolf
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Qing Zeng
- VA Washington DC Healthcare System, Washington, DC, USA
| | - Matthew S Panizzon
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Victoria C Merritt
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
- VA San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA, USA
| | - Lindsay A Farrer
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Richard L Hauger
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA, USA
| | - Mark W Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA.
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA.
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA.
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
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7
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Oh S, Lee J, Chun S, Choi JE, Kim MN, Chon YE, Ha Y, Hwang SG, Choi SW, Hong KW. Interaction between the PNPLA3 Gene and Nutritional Factors on NAFLD Development: The Korean Genome and Epidemiology Study. Nutrients 2022; 15:152. [PMID: 36615809 PMCID: PMC9824262 DOI: 10.3390/nu15010152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/18/2022] [Accepted: 12/21/2022] [Indexed: 12/31/2022] Open
Abstract
Genetic and nutritional factors contribute to the development of non-alcoholic fatty liver disease (NAFLD); however, gene-diet interactions in NAFLD development are poorly understood. In this case-control study, a large dataset from the Korean Genome and Epidemiology Study cohort (n = 72,299) comprising genomic data, medical records, social history, and dietary data was used. We investigated the interactions between the PNPLA3 rs738409 genotype and nutritional factors and their possible effect on the risk of NAFLD development in 2950 patients with NAFLD and 12,907 controls. In the PNPLA3 risk allele group, high protein, fat, sodium, phosphorus, niacin, and vitamin B6 intakes were associated with a decreased risk of NAFLD. In the non-risk allele group, only high fat intake was associated with a decreased risk of NAFLD. Among these nutrients, high sodium intake had a significant protective interaction with the PNPLA3 genotype against NAFLD (p = 0.002). Among salty foods, only kimchi had a significant protective effect against the PNPLA3 genotype (p = 0.012). Thus, the PNPLA3 genotype is differentially associated with nutritional factors. In particular, it interacts with kimchi, a fermented vegetable dish. Therefore, fermented vegetables may serve as a tailored therapeutic food for people with the PNPLA3 risk allele.
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Affiliation(s)
- Sooyeon Oh
- Chaum Life Center, CHA University School of Medicine, Seoul 06062, Republic of Korea
| | - Jooho Lee
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea
| | - Sukyung Chun
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea
| | - Ja-Eun Choi
- Healthcare R&D Division, Theragen Bio Co., Ltd., Suwon 16229, Republic of Korea
| | - Mi Na Kim
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea
| | - Young Eun Chon
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea
| | - Yeonjung Ha
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea
| | - Seong-Gyu Hwang
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea
| | - Sang-Woon Choi
- Chaum Life Center, CHA University School of Medicine, Seoul 06062, Republic of Korea
| | - Kyung-Won Hong
- Healthcare R&D Division, Theragen Bio Co., Ltd., Suwon 16229, Republic of Korea
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8
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Wang NX, Arcand J, Campbell NRC, Johnson C, Malta D, Petersen K, Rae S, Santos JA, Sivakumar B, Thout SR, McLean R. The World Hypertension League Science of Salt: a regularly updated systematic review of salt and health outcomes studies (Sept 2019 to Dec 2020). J Hum Hypertens 2022; 36:1048-1058. [PMID: 35688876 PMCID: PMC9734047 DOI: 10.1038/s41371-022-00710-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/05/2022] [Accepted: 05/27/2022] [Indexed: 02/07/2023]
Abstract
The World Hypertension League Science of Salt health outcomes review series highlights high-quality publications relating to salt intake and health outcomes. This review uses a standardised method, outlined in previous reviews and based on methods developed by WHO, to identify and critically appraise published articles on dietary salt intake and health outcomes. We identified 41 articles published between September 2019 to December 2020. Amongst these, two studies met the pre-specified methodological quality criteria for critical appraisal. They were prospective cohort studies and examined physical performance and composite renal outcomes as health outcomes. Both found an association between increased/higher sodium intake and poorer health outcomes. Few studies meet criteria for high-quality methods. This review adds further evidence that dietary salt reduction has health benefits and strengthens evidence relating to health outcomes other than blood pressure and cardiovascular disease. We observe that most studies on dietary sodium do not have adequate methodology to reliably assess sodium intake and its association with health outcomes.
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Affiliation(s)
- Nan Xin Wang
- Department of Preventive and Social Medicine, University of Otago, 18 Frederick St, Dunedin, 9016, New Zealand
| | - JoAnne Arcand
- Faculty of Health Science, Ontario Tech University, Oshawa, ON, Canada
| | - Norm R C Campbell
- Department of Medicine, Physiology and Pharmacology and Community Health Sciences, Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada
| | - Claire Johnson
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Daniela Malta
- School of Nutrition, Ryerson University, Toronto, ON, Canada
| | - Kristina Petersen
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA
| | - Sarah Rae
- Department of Nutritional Sceinces, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Joseph Alvin Santos
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Bridve Sivakumar
- Faculty of Health Science, Ontario Tech University, Oshawa, ON, Canada
| | | | - Rachael McLean
- Department of Preventive and Social Medicine, University of Otago, 18 Frederick St, Dunedin, 9016, New Zealand.
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9
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Cheng H, Gu X, He Z, Yang Y. Dose-response relationship between working hours and hypertension: A 22-year follow-up study. Medicine (Baltimore) 2021; 100:e25629. [PMID: 33879739 PMCID: PMC8078318 DOI: 10.1097/md.0000000000025629] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 03/31/2021] [Indexed: 01/04/2023] Open
Abstract
Hypertension causes a substantial burden to society. Some studies found that hypertension was associated with the working type and working hours. The purpose of the current study is to assess the dose-response relationship between working hours and hypertension.Data of 12,080 adults aged 18 to 65 years who attended the China Health and Nutrition Survey (CHNS) between 1989 and 2011 were analyzed. Hypertension was determined based on systolic and/or diastolic blood pressure measures, or having doctor-diagnosed hypertension. Multivariable Cox regression and restricted cubic spline to assess the dose-response relationship between working hours and hypertension.A total of 12,080 participants including 5852 females and 6228 males. By the last follow-up (2011), a total of 830 participants were hypertensive, with an incidence of 6.9%. After adjusting socio-demographic, lifestyle factors, as well as occupation type, compared with those who worked 35 to 49 hours per week, participants who worked no more than 34 hours per week (HR: 1.21, 95%CI: 1.03-1.41) and at least 56 hours per week (HR: 1.38, 95%CI: 1.19-1.59) had a higher risk of hypertension. The significant association between long working hours (at least 56 hours per week) and hypertension was observed among females (HR: 1.38, 95%CI: 1.16-1.64) and males (HR: 1.36, 95%CI: 1.04-1.78). Among manual workers, the relationship between long working hours and hypertension was observed (HR: 1.49, 95%CI: 1.10-2.02). The relationship between long working hours (HR: 1.21, 95%CI: 1.01-1.44) and short working hours (HR: 1.37, 95%CI: 1.16-1.61) and hypertension was observed among nonmanual workers. The hazard ratio of hypertension and working time displayed U-shape non-linear relationship (Ptrend < .001, non-linear P < .001). The non-linear response-dose relationship was found in manual worker, nonmanual worker, and male (Ptrend < .001, non-linear P < .001).The association between working time and hypertension showed U-shape relationship. Specifically, overtime work was an important occupational risk factors for adults, and short work time was related to hazard ratio of hypertension in nonmanual workers.
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Affiliation(s)
- Hao Cheng
- Shaanxi Cancer Hospital Affiliated to Xi’an Jiaotong University, Department of Ultrasonography, Xi’an 710061
| | - Xuan Gu
- Xi’an Hospital of Civil Aviation, Xi’an 710082
| | - Zhenan He
- Shaanxi Institute of Medical Device Quality Supervision and Inspection, Xi’an 712046
| | - Yanqiu Yang
- Department of Ultasonography, The Fifth People's Hospital of Qinghai Province, China
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