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Montiel Ishino FA, Canenguez KM, Cohen JH, Kent BV, Villalobos K, Needham BL, Kandula NR, Kanaya AM, Shields AE, Williams F. Profiles of cardiometabolic risk and acculturation indicators among South Asians in the US: latent class analysis of the MASALA study. Front Public Health 2024; 12:1384607. [PMID: 39440183 PMCID: PMC11495395 DOI: 10.3389/fpubh.2024.1384607] [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: 02/09/2024] [Accepted: 09/23/2024] [Indexed: 10/25/2024] Open
Abstract
Background South Asians (SA) represent the fastest growing US immigrant group, and previous studies have indicated that they face disproportionately high burden of cardiometabolic disease. Cardiometabolic disease manifests as a syndemic or synergistic epidemic encompassing multiple disease clusters influenced by biological, social, and psychological factors stemming from the acculturative process. This process may exacerbate morbidity within immigrant subgroups. Our aim was to identify cardiometabolic risk profiles among SA using indicators of acculturation. Methods We conducted a latent class analysis on data from the Mediators of Atherosclerosis in South Asians Living in America study (N=771). A composite cardiometabolic disease outcome was constructed using prevalent hypertension, type 2 diabetes, and body mass index. Acculturation indicators included years living in the US, English language proficiency, dietary behaviors, preservation of cultural traditions, social and neighborhood support, maintenance of social relationships (i.e., friendships), and experiences of discrimination, along with proxies of acculturative stress (i.e., depressive symptomology, trait anxiety and anger). Social and environmental determinants of health, health behaviors, religiosity and spirituality served as covariates to further assess latent class membership. Results Four cardiometabolic risk profiles emerged: (1) lowest risk [73.8% of sample] characterized by high integration into both SA and US cultures; (2) the modest risk [13.4% of sample], exhibiting elevated levels of mental health distress and experiences of discrimination, and distancing themselves from both cultures; and the (3) moderate risk [8.9% of sample] and (4) highest risk [3.9% of sample], demonstrating greater assimilation into US culture. Compared to the lowest risk profile: the modest risk profile was associated with low-income and conflicting attitudes about religion/spirituality, while the moderate risk profile was characterized by lower income and educational attainment with positive behaviors and attitudes toward religion/spirituality. Conclusion Findings expand our understanding of immigrant cardiometabolic health as a syndemic issue wherein multiple co-occurring and interacting processes synergize to produce negative outcomes in already at-risk subpopulations. Furthermore, acculturation emerges as a crucial factor in understanding health disparities among immigrant and refugee groups in the US.
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Affiliation(s)
- Francisco A. Montiel Ishino
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, United States
| | - Katia M. Canenguez
- Harvard/Massachusetts General Hospital Center on Genomics, Vulnerable Populations, and Health Disparities, Boston, MA, United States
| | - Jeffrey H. Cohen
- Department of Anthropology, The Ohio State University, Columbus, OH, United States
| | - Blake Victor Kent
- Harvard/Massachusetts General Hospital Center on Genomics, Vulnerable Populations, and Health Disparities, Boston, MA, United States
- Department of Sociology, Westmont College, Santa Barbara, CA, United States
| | - Kevin Villalobos
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, United States
| | - Belinda L. Needham
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, United States
| | - Namratha R. Kandula
- Institute for Public Health and Medicine - Center for Community Health, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Alka M. Kanaya
- Departments of Medicine, Epidemiology, and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Alexandra E. Shields
- Harvard/Massachusetts General Hospital Center on Genomics, Vulnerable Populations, and Health Disparities, Boston, MA, United States
| | - Faustine Williams
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States
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Rivas-Tumanyan S, Pacheco LS, Haslam DE, Morou-Bermudez E, Liang L, Tucker KL, Joshipura KJ, Bhupathiraju SN. Branched-Chain and Aromatic Amino Acids, Type 2 Diabetes, and Cardiometabolic Risk Factors among Puerto Rican Adults. Nutrients 2024; 16:2562. [PMID: 39125441 PMCID: PMC11313859 DOI: 10.3390/nu16152562] [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: 06/20/2024] [Revised: 07/17/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024] Open
Abstract
(1) Background: Branched-chain and aromatic amino acids (BCAAs/AAAs) have been considered as markers of type 2 diabetes (T2D); however, studies on associations between these metabolites and T2D and cardiometabolic traits in Hispanic populations are limited. The aim of this study was to examine the associations between baseline BCAAs (isoleucine, leucine, valine)/AAAs (phenylalanine, tyrosine) and prevalent and incident T2D, as well as baseline and longitudinal (2 year) changes in cardiometabolic traits (measures of glycemia, dyslipidemia, inflammation, and obesity) in two large cohorts of adults of Puerto Rican descent. (2) Methods: We included participants of the Boston Puerto Rican Health Study (BPRHS, n = 670) and San Juan Overweight Adult Longitudinal study (SOALS, n = 999) with available baseline metabolite and covariate data. T2D diagnosis was defined based on American Diabetes Association criteria. Multivariable logistic (for baseline T2D), Poisson (for incident T2D), and linear (for cardiometabolic traits) regression models were used; cohort-specific results were combined in the meta-analysis and adjusted for multiple comparisons. (3) Results: Higher baseline BCAAs were associated with higher odds of prevalent T2D (OR1SD BCAA score = 1.46, 95% CI: 1.34-1.59, p < 0.0001) and higher risk of incident T2D (IRR1SD BCAA score = 1.24, 95% CI: 1.13-1.37, p < 0.0001). In multivariable longitudinal analysis, higher leucine and valine concentrations were associated with 2-year increase in insulin (beta 1SD leucine = 0.37 mcU/mL, 95% CI: 0.11-0.63, p < 0.05; beta 1SD valine = 0.43 mcU/mL, 95% CI: 0.17-0.68, p < 0.01). Tyrosine was a significant predictor of incident T2D (IRR = 1.31, 95% CI: 1.09-1.58, p < 0.05), as well as 2 year increases in HOMA-IR (beta 1SD tyrosine = 0.13, 95% CI: 0.04-0.22, p < 0.05) and insulin concentrations (beta 1SD tyrosine = 0.37 mcU/mL, 95% CI: 0.12-0.61, p < 0.05). (4) Conclusions: Our results confirmed the associations between BCAAs and prevalent and incident T2D, as well as concurrent measures of glycemia, dyslipidemia, and obesity, previously reported in predominantly White and Asian populations. Baseline leucine, valine, and tyrosine were predictors of 2 year increases in insulin, whereas tyrosine was a significant predictor of deteriorating insulin resistance over time. Our study suggests that BCAAs and tyrosine could serve as early markers of future glycemic changes in Puerto Ricans.
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Affiliation(s)
- Sona Rivas-Tumanyan
- Department of Surgical Sciences and the Office of the Assistant Dean for Research, School of Dental Medicine, University of Puerto Rico, San Juan, PR 00936, USA; (S.R.-T.)
| | - Lorena S. Pacheco
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Danielle E. Haslam
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, 181 Longwood Ave, Boston, MA 02115, USA
| | - Evangelia Morou-Bermudez
- Department of Surgical Sciences and the Office of the Assistant Dean for Research, School of Dental Medicine, University of Puerto Rico, San Juan, PR 00936, USA; (S.R.-T.)
| | - Liming Liang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Katherine L. Tucker
- Department of Biomedical and Nutritional Sciences and Center for Population Health, University of Massachusetts, Lowell, MA 01854, USA
| | - Kaumudi J. Joshipura
- Dean, School of Public Health, Ahmedabad University, Central Campus, Navrangpura, Ahmedabad 380009, Gujarat, India
| | - Shilpa N. Bhupathiraju
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, 181 Longwood Ave, Boston, MA 02115, USA
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Huang K, Li Z, He X, Dai J, Huang B, Shi Y, Fan D, Zhang Z, Liu Y, Li N, Zhang Z, Peng J, Liu C, Zeng R, Cen Z, Wang T, Yang W, Cen M, Li J, Yuan S, Zhang L, Hu D, Huang S, Chen P, Lai P, Lin L, Wen J, Zhao Z, Huang X, Yuan L, Zhou L, Wu H, Huang L, Feng K, Wang J, Liao B, Cai W, Deng X, Li Y, Li J, Hu Z, Yang L, Li J, Zhuo Y, Zhang F, Lin L, Luo Y, Zhang W, Ni Q, Hong X, Chang G, Zhang Y, Guan D, Cai W, Lu Y, Li F, Yan L, Ren M, Li L, Chen S. Gut microbial co-metabolite 2-methylbutyrylcarnitine exacerbates thrombosis via binding to and activating integrin α2β1. Cell Metab 2024; 36:598-616.e9. [PMID: 38401546 DOI: 10.1016/j.cmet.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 11/08/2023] [Accepted: 01/25/2024] [Indexed: 02/26/2024]
Abstract
Thrombosis represents the leading cause of death and disability upon major adverse cardiovascular events (MACEs). Numerous pathological conditions such as COVID-19 and metabolic disorders can lead to a heightened thrombotic risk; however, the underlying mechanisms remain poorly understood. Our study illustrates that 2-methylbutyrylcarnitine (2MBC), a branched-chain acylcarnitine, is accumulated in patients with COVID-19 and in patients with MACEs. 2MBC enhances platelet hyperreactivity and thrombus formation in mice. Mechanistically, 2MBC binds to integrin α2β1 in platelets, potentiating cytosolic phospholipase A2 (cPLA2) activation and platelet hyperresponsiveness. Genetic depletion or pharmacological inhibition of integrin α2β1 largely reverses the pro-thrombotic effects of 2MBC. Notably, 2MBC can be generated in a gut-microbiota-dependent manner, whereas the accumulation of plasma 2MBC and its thrombosis-aggravating effect are largely ameliorated following antibiotic-induced microbial depletion. Our study implicates 2MBC as a metabolite that links gut microbiota dysbiosis to elevated thrombotic risk, providing mechanistic insight and a potential therapeutic strategy for thrombosis.
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Affiliation(s)
- Kan Huang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China; Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Zilun Li
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Xi He
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Jun Dai
- Guangzhou Customs District Technology Center, Guangzhou, Guangdong 510700, China
| | - Bingding Huang
- College of Big Data and Internet, Shenzhen Technology University, Shenzhen, Guangdong 518118, China
| | - Yongxia Shi
- Guangzhou Customs District Technology Center, Guangzhou, Guangdong 510700, China
| | - Dongxiao Fan
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Zefeng Zhang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Yunchong Liu
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Na Li
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Zhongyu Zhang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Jiangyun Peng
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Chenshu Liu
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Renli Zeng
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Zhipeng Cen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Tengyao Wang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Wenchao Yang
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Meifeng Cen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China
| | - Jingyu Li
- College of Big Data and Internet, Shenzhen Technology University, Shenzhen, Guangdong 518118, China
| | - Shuai Yuan
- Guangzhou Customs District Technology Center, Guangzhou, Guangdong 510700, China
| | - Lu Zhang
- Guangzhou Customs District Technology Center, Guangzhou, Guangdong 510700, China
| | - Dandan Hu
- Guangzhou Customs District Technology Center, Guangzhou, Guangdong 510700, China
| | - Shuxiang Huang
- Guangzhou Customs District Technology Center, Guangzhou, Guangdong 510700, China
| | - Pin Chen
- National Supercomputer Center in Guangzhou, School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, Guangdong 510006, China
| | - Peilong Lai
- Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, China
| | - Liyan Lin
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Jielu Wen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Zhengde Zhao
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Xiuyi Huang
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Lining Yuan
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Lifang Zhou
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Haoliang Wu
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Lihua Huang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China
| | - Kai Feng
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Jian Wang
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Baolin Liao
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Weiping Cai
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Xilong Deng
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Yueping Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Jianping Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Zhongwei Hu
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Li Yang
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Jiaojiao Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Youguang Zhuo
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Fuchun Zhang
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China
| | - Lin Lin
- Department of Respiratory Diseases, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China
| | - Yifeng Luo
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Sun Yat-sen University, Institute of Pulmonary Diseases, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Wei Zhang
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, Hubei 430070, China
| | - Qianlin Ni
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, Hubei 430070, China
| | - Xiqiang Hong
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, Hubei 430070, China
| | - Guangqi Chang
- Division of Vascular Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Yang Zhang
- School of Public Health, Sun Yat-Sen University, Shenzhen, Guangdong 518107, China
| | - Dongxian Guan
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Weikang Cai
- Department of Biomedical Sciences, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, NY 11568, USA
| | - Yutong Lu
- National Supercomputer Center in Guangzhou, School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, Guangdong 510006, China
| | - Fang Li
- Department of Obstetrics and Gynecology, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510620, China
| | - Li Yan
- Guangdong Clinical Research Center for Metabolic Diseases (Diabetes), Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China
| | - Meng Ren
- Guangdong Clinical Research Center for Metabolic Diseases (Diabetes), Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China.
| | - Linghua Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510060, China.
| | - Sifan Chen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, China; Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-Sen Memorial Hospital, Foshan, Guangdong 528200, China.
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Mehta P, Tawfeeq S, Padte S, Sunasra R, Desai H, Surani S, Kashyap R. Plant-based diet and its effect on coronary artery disease: A narrative review. World J Clin Cases 2023; 11:4752-4762. [PMID: 37583985 PMCID: PMC10424050 DOI: 10.12998/wjcc.v11.i20.4752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/11/2023] [Accepted: 06/19/2023] [Indexed: 07/06/2023] Open
Abstract
Coronary artery disease (CAD), a primary component of cardiovascular diseases, is one of the top contributors to mortality rates worldwide. In 2021, dietary risk was estimated to be attributed to 6.58 million cardiovascular deaths. Plant-based diets (PBDs), which encourage higher consumption of plant foods and lower intake of animal-based foods, have been shown to reduce the risk of CAD by up to 29% when compared to non-vegetarian diets in a meta-analysis. This article aims to summarize the array of PBDs and compare them with conventional Western diets that include meat. We review the various proposed mechanisms for how the bioactive nutrients of PBDs aid in preventing atherosclerosis and CAD events, as well as other cardiac diseases. We conducted a detailed search of PubMed using our exclusive search strategy using the keywords plant-based diet, vegan diet, phytosterols, CAD, myocardial ischemia, and atherosclerosis. A total of 162 pertinent articles published within the past decade were identified for qualitative synthesis. To ensure the accuracy and reliability of our review, we included a total of 55 full-text, peer-reviewed articles that demonstrated the effects of plant-based diets on CAD and were written in English. We excluded animal studies, in vitro or molecular studies, and non-original data like editorials, letters, protocols, and conference abstracts. In this article, we emphasize the importance of dietary interventions, such as PBDs, to prevent CAD and their benefits on environmental sustainability. Integrating plant foods and whole grains into one's daily eating habits leads to an increase in the intake of nutrient-rich foods while reducing the consumption of processed food could not only prevent millions of premature deaths but also provide prevention against many chronic gastrointestinal and metabolic diseases.
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Affiliation(s)
- Priyal Mehta
- Department of General Medicine, MWD Hospital, Mumbai 400097, India
- Department of Research, Global Remote Research Scholars Program, St. Paul, MN 55104, United States
| | - Sawsan Tawfeeq
- Department of Research, Global Remote Research Scholars Program, St. Paul, MN 55104, United States
| | - Smitesh Padte
- Department of General Medicine, MWD Hospital, Mumbai 400097, India
- Department of Research, Global Remote Research Scholars Program, St. Paul, MN 55104, United States
| | - Rayyan Sunasra
- Hinduhridaysamrat Balasaheb Thackeray Medical College and Dr. R. N Cooper Hospital, Mumbai 400056, India
| | - Heet Desai
- Department of Internal Medicine, CIBNP, Fairfield, CA 94534, United States
| | - Salim Surani
- Department of Research, Global Remote Research Scholars Program, St. Paul, MN 55104, United States
- Department of Pulmonary & Critical Care & Pharmacology, Texas A&M University, College Station, TX 77843, United States
| | - Rahul Kashyap
- Department of Research, Global Remote Research Scholars Program, St. Paul, MN 55104, United States
- Department of Research, WellSpan Health, York, PA 17403, United States
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5
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Sun D, Liu C, Zhu Y, Yu C, Guo Y, Sun D, Pang Y, Pei P, Du H, Yang L, Chen Y, Meng X, Liu Y, Zhang J, Schmidt D, Avery D, Chen J, Chen Z, Lv J, Kan H, Li L. Long-Term Exposure to Fine Particulate Matter and Incidence of Esophageal Cancer: A Prospective Study of 0.5 Million Chinese Adults. Gastroenterology 2023; 165:61-70.e5. [PMID: 37059339 PMCID: PMC7615725 DOI: 10.1053/j.gastro.2023.03.233] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/22/2023] [Accepted: 03/02/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND & AIMS Evidence is sparse and inconclusive on the association between long-term fine (≤2.5 μm) particulate matter (PM2.5) exposure and esophageal cancer. We aimed to assess the association of PM2.5 with esophageal cancer risk and compared the esophageal cancer risk attributable to PM2.5 exposure and other established risk factors. METHODS This study included 510,125 participants without esophageal cancer at baseline from China Kadoorie Biobank. A high-resolution (1 × 1 km) satellite-based model was used to estimate PM2.5 exposure during the study period. Hazard ratios (HR) and 95% CIs of PM2.5 with esophageal cancer incidence were estimated using Cox proportional hazard model. Population attributable fractions for PM2.5 and other established risk factors were estimated. RESULTS There was a linear concentration-response relationship between long-term PM2.5 exposure and esophageal cancer. For each 10-μg/m3 increase in PM2.5, the HR was 1.16 (95% CI, 1.04-1.30) for esophageal cancer incidence. Compared with the first quarter of PM2.5 exposure, participants in the highest quarter had a 1.32-fold higher risk for esophageal cancer, with an HR of 1.32 (95% CI, 1.01-1.72). The population attributable risk because of annual average PM2.5 concentration ≥35 μg/m3 was 23.3% (95% CI, 6.6%-40.0%), higher than the risks attributable to lifestyle risk factors. CONCLUSIONS This large prospective cohort study of Chinese adults found that long-term exposure to PM2.5 was associated with an elevated risk of esophageal cancer. With stringent air pollution mitigation measures in China, a large reduction in the esophageal cancer disease burden can be expected.
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Affiliation(s)
- Dong Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Cong Liu
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, National Health Commission Key Laboratory of Health Technology Assessment, Integrated Research on Disaster Risk, International Centers of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yunqing Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, National Health Commission Key Laboratory of Health Technology Assessment, Integrated Research on Disaster Risk, International Centers of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Jun Zhang
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Dan Schmidt
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Daniel Avery
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, National Health Commission Key Laboratory of Health Technology Assessment, Integrated Research on Disaster Risk, International Centers of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
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6
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Pan L, Shi K, Lv J, Pang Y, Guo Y, Pei P, Du H, Millwood I, Yang L, Chen Y, Gao R, Yang X, Avery D, Chen J, Yu C, Chen Z, Li L. Association of dietary patterns, circulating lipid profile, and risk of obesity. Obesity (Silver Spring) 2023; 31:1445-1454. [PMID: 37037666 DOI: 10.1002/oby.23720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/08/2022] [Accepted: 01/01/2023] [Indexed: 04/12/2023]
Abstract
OBJECTIVE The aim of this study was to simultaneously explore the associations of major dietary patterns (DP) with lipid profiles and the associations of these profiles with general and central obesity risks and to evaluate the extent to which the metabolites mediate such associations. METHODS Habitual food consumption of 4778 participants with an average age of 47.0 from the China Kadoorie Biobank was collected using a 12-item food frequency questionnaire. Plasma samples were analyzed via targeted nuclear magnetic resonance (NMR) spectroscopy to quantify 129 lipid-related metabolites. Anthropometric information was measured by trained staff. RESULTS Two DPs were derived by factor analysis. The newly affluent southern pattern was characterized by high intakes of rice, meat, poultry, and fish, whereas the balanced pattern was characterized by consuming meat, poultry, fish, fresh fruit, fresh vegetables, dairy, eggs, and soybean. The newly affluent southern pattern was positively associated with 45 metabolites, which were positively associated with risks of obesity at the same time. The global lipid profile potentially explained 30.9%, 34.7%, and 53.1% of the effects of this DP on general obesity, waist circumference-defined central obesity, and waist-hip ratio-defined central obesity, respectively. CONCLUSIONS The newly affluent southern pattern points to an altered lipid profile, which showed higher general and central obesity risks. These findings partly suggest the biological mechanism for the obesogenic effects of this DP.
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Affiliation(s)
- Lang Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Kexiang Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruqin Gao
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Xiaoming Yang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Daniel Avery
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
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7
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Mahadevan M, Bose M, Gawron KM, Blumberg R. Metabolic Syndrome and Chronic Disease Risk in South Asian Immigrants: A Review of Prevalence, Factors, and Interventions. Healthcare (Basel) 2023; 11:healthcare11050720. [PMID: 36900725 PMCID: PMC10000781 DOI: 10.3390/healthcare11050720] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/21/2023] [Accepted: 02/26/2023] [Indexed: 03/05/2023] Open
Abstract
South Asians (SAs) are among the fastest-growing ethnic groups in the U.S. Metabolic syndrome (MetS) is a condition that is characterized by multiple health factors that increase the risk for chronic diseases, such as cardiovascular disease (CVD) and diabetes. MetS prevalence among SA immigrants ranges from 27-47% in multiple cross-sectional studies using different diagnostic criteria, which is generally higher compared to other populations in the receiving country. Both genetic and environmental factors are attributed to this increased prevalence. Limited intervention studies have shown effective management of MetS conditions within the SA population. This review reports MetS prevalence in SAs residing in non-native countries, identifies contributing factors, and discusses ways to develop effective community-based strategies for health promotion targeting MetS among SA immigrants. There is a need for more consistently evaluated longitudinal studies to facilitate the development of directed public health policy and education to address chronic diseases in the SA immigrant community.
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Affiliation(s)
- Meena Mahadevan
- Department of Nutrition and Food Studies, Montclair State University, Montclair, NJ 07043, USA
- Correspondence: ; Tel.: +1-973-655-7574
| | - Mousumi Bose
- Department of Nutrition and Food Studies, Montclair State University, Montclair, NJ 07043, USA
| | | | - Renata Blumberg
- Department of Nutrition and Food Studies, Montclair State University, Montclair, NJ 07043, USA
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Post-migration food habits of New Zealand South Asian migrants: Implications for health promotion practice. J Migr Health 2023; 7:100182. [PMID: 36994424 PMCID: PMC10041552 DOI: 10.1016/j.jmh.2023.100182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 02/07/2023] [Accepted: 03/16/2023] [Indexed: 03/19/2023] Open
Abstract
Introduction South Asian migrants in western countries have a high risk for diet related diseases post-migration. Hence knowledge on food habits that change post-migration, which are detrimental to health, are critical for health promotion initiatives to reduce this disease burden. Objective to describe food consumption changes post-migration according to sex and duration of residence in New Zealand among South Asian migrants. Methods A cross-sectional mail survey of 150 self-selected people of South Asian ethnicity aged 25-59 years in New Zealand. Results The study achieved responses from 112 participants (75%) with a mean age of 36 (7.5) years. Consumption of green leafy vegetables reduced post-migration for females and in new migrants (P < 0.05). Fruit consumption increased in both genders and across duration of residence (P < 0.05). Only 15% of males and 36% of females met the 3 + a day recommendation for vegetable consumption. Consumption of traditional breads, breakfast items and rice (males) decreased whilst that of breakfast cereals increased (P < 0.05). Consumption of low-fat milk, cheese, ice-cream, butter (females) and margarine increased, whilst ghee decreased (P < 0.05). Consumption of fish, lentils, traditional sweets and savouries decreased, whilst meat, processed meat, chicken, potato chips, cakes and pastries (females) and alcohol (males) increased (P < 0.05), post-migration. Thirty-three percent of males and 24% of females consumed takeaways "weekly or more often", with the majority (male: 51%; female: 36%) consuming European foods such as pizzas and pastas. Thirteen percent of males and 26% of females consumed festival foods "weekly or more often." More than half the participants were obese with BMI increasing with duration of residence (P = 0.025). Conclusions A food-based health promotion initiative focused on inadequate consumption of fruits and vegetables, increased consumption of dairy foods such as cheese and ice cream, and high fat European takeaway foods would be warranted particularly in new South Asian migrants.
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9
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Ramos-Lopez O. Multi-Omics Nutritional Approaches Targeting Metabolic-Associated Fatty Liver Disease. Genes (Basel) 2022; 13:2142. [PMID: 36421817 PMCID: PMC9690481 DOI: 10.3390/genes13112142] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 10/29/2023] Open
Abstract
Currently, metabolic-associated fatty liver disease (MAFLD) is a leading global cause of chronic liver disease, and is expected to become one of the most common indications of liver transplantation. MAFLD is associated with obesity, involving multiple mechanisms such as alterations in lipid metabolism, insulin resistance, hyperinflammation, mitochondrial dysfunction, cell apoptosis, oxidative stress, and extracellular matrix formation. However, the onset and progression of MAFLD is variable among individuals, being influenced by intrinsic (personal) and external environmental factors. In this context, sequence structural variants across the human genome, epigenetic phenomena (i.e., DNA methylation, histone modifications, and long non-coding RNAs) affecting gene expression, gut microbiota dysbiosis, and metabolomics/lipidomic fingerprints may account for differences in MAFLD outcomes through interactions with nutritional features. This knowledge may contribute to gaining a deeper understanding of the molecular and physiological processes underlying MAFLD pathogenesis and phenotype heterogeneity, as well as facilitating the identification of biomarkers of disease progression and therapeutic targets for the implementation of tailored nutritional strategies. This comprehensive literature review highlights the potential of nutrigenetic, nutriepigenetic, nutrimetagenomic, nutritranscriptomics, and nutrimetabolomic approaches for the prevention and management of MAFLD in humans through the lens of precision nutrition.
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Affiliation(s)
- Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Mexico
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10
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The Emerging Role of Branched-Chain Amino Acids in Liver Diseases. Biomedicines 2022; 10:biomedicines10061444. [PMID: 35740464 PMCID: PMC9220261 DOI: 10.3390/biomedicines10061444] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 06/07/2022] [Accepted: 06/16/2022] [Indexed: 02/06/2023] Open
Abstract
Chronic liver diseases pose a substantial health burden worldwide, with approximately two million deaths each year. Branched-chain amino acids (BCAAs)-valine, leucine, and isoleucine-are a group of essential amino acids that are essential for human health. Despite the necessity of a dietary intake of BCAA, emerging data indicate the undeniable correlation between elevated circulating BCAA levels and chronic liver diseases, including non-alcoholic fatty liver diseases (NAFLD), cirrhosis, and hepatocellular carcinoma (HCC). Moreover, circulatory BCAAs were positively associated with a higher cholesterol level, liver fat content, and insulin resistance (IR). However, BCAA supplementation was found to provide positive outcomes in cirrhosis and HCC patients. This review will attempt to address the contradictory claims found in the literature, with a special focus on BCAAs' distribution, key signaling pathways, and the modulation of gut microbiota. This should provide a better understanding of BCAAs' possible contribution to liver health.
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11
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Piras C, Noto A, Ibba L, Deidda M, Fanos V, Muntoni S, Leoni VP, Atzori L. Contribution of Metabolomics to the Understanding of NAFLD and NASH Syndromes: A Systematic Review. Metabolites 2021; 11:metabo11100694. [PMID: 34677409 PMCID: PMC8541039 DOI: 10.3390/metabo11100694] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/03/2021] [Accepted: 10/06/2021] [Indexed: 12/20/2022] Open
Abstract
Several differential panels of metabolites have been associated with the presence of metabolic syndrome and its related conditions, namely non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH). This study aimed to perform a systematic review to summarize the most recent finding in terms of circulating biomarkers following NAFLD/NASH syndromes. Hence, the research was focused on NAFLD/NASH studies analysed by metabolomics approaches. Following Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, a systematic search was conducted on the PubMed database. The inclusion criteria were (i) publication date between 2010 and 2021, (ii) presence of the combination of terms: metabolomics and NAFLD/NASH, and (iii) published in a scholarly peer-reviewed journal. Studies were excluded from the review if they were (i) single-case studies, (ii) unpublished thesis and dissertation studies, and (iii) not published in a peer-reviewed journal. Following these procedures, 10 eligible studies among 93 were taken into consideration. The metabolisms of amino acids, fatty acid, and vitamins were significantly different in patients affected by NAFLD and NASH compared to healthy controls. These findings suggest that low weight metabolites are an important indicator for NAFLD/NASH syndrome and there is a strong overlap between NAFLD/NASH and the metabolic syndrome. These findings may lead to new perspectives in early diagnosis, identification of novel biomarkers, and providing novel targets for pharmacological interventions.
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Affiliation(s)
- Cristina Piras
- Department of Biomedical Sciences, University of Cagliari, 09042 Monserrato, Italy; (C.P.); (L.I.); (S.M.); (V.P.L.); (L.A.)
| | - Antonio Noto
- Department of Biomedical Sciences, University of Cagliari, 09042 Monserrato, Italy; (C.P.); (L.I.); (S.M.); (V.P.L.); (L.A.)
- Correspondence:
| | - Luciano Ibba
- Department of Biomedical Sciences, University of Cagliari, 09042 Monserrato, Italy; (C.P.); (L.I.); (S.M.); (V.P.L.); (L.A.)
| | - Martino Deidda
- Department of Medical Sciences and Public Health, University of Cagliari, 09042 Monserrato, Italy;
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, University of Cagliari, 09042 Monserrato, Italy;
| | - Sandro Muntoni
- Department of Biomedical Sciences, University of Cagliari, 09042 Monserrato, Italy; (C.P.); (L.I.); (S.M.); (V.P.L.); (L.A.)
| | - Vera Piera Leoni
- Department of Biomedical Sciences, University of Cagliari, 09042 Monserrato, Italy; (C.P.); (L.I.); (S.M.); (V.P.L.); (L.A.)
| | - Luigi Atzori
- Department of Biomedical Sciences, University of Cagliari, 09042 Monserrato, Italy; (C.P.); (L.I.); (S.M.); (V.P.L.); (L.A.)
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12
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Jain D, Guleria P, Singh V, Parshad R, Kumar S, Gaiser T, Kurz KS, Ott G, Porubsky S, Preissler G, Sauer CG, Schölch S, Ströbel P, Hielscher T, Marx A, Popovic ZV. GTF2I Mutation in Thymomas: Independence From Racial-Ethnic Backgrounds. An Indian/German Comparative Study. Pathol Oncol Res 2021; 27:1609858. [PMID: 34497477 PMCID: PMC8419886 DOI: 10.3389/pore.2021.1609858] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 08/12/2021] [Indexed: 11/13/2022]
Abstract
Thymomas are the most frequent adult mediastinal cancers. Their etiology is unknown and their pathogenesis poorly understood. Racial, ethnic and environmental factors influence tumorigenesis in many cancers, but their role in thymomas remains unclear to date. In this study that included pretreatment thymoma cases from India and Germany (n = 37 and n = 77, respectively) we compared i) the prevalence of the thymoma-specific chromosome 7 c.74146970T > A mutation of the GTF2I gene in type A and AB thymomas; ii) epidemiological features; and iii) the frequency of myasthenia gravis (MG). Due to a known predominance of GTF2I mutation in A and AB histotypes, we included only a marginal number of type B thymomas as a control group in both cohorts. While the distribution of histological types between the cohorts was similar (p = 0.1622), Indian patients were strikingly younger (p < 0.0001; median age 50 vs. 65 years) and showed significantly lower tumour stage (Masaoka-Koga stage I) at primary diagnosis (p = 0.0005) than the German patients. In patients with known MG status (n = 17 in Indian and n = 25 in German cohort), a clear trend towards more frequent MG was observed in the Indian group (p = 0.0504; 48 vs. 82%). The prevalence of the GTF2I mutation (analysed in n = 34 Indian and n = 77 German patients) was identical in the two cohorts. We conclude that racial-ethnic and environmental factors do not significantly influence the most common molecular feature of thymomas but may have an impact on the timing of clinical presentation.
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Affiliation(s)
- Deepali Jain
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Prerna Guleria
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Varsha Singh
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Rajinder Parshad
- Department of Surgery, All India Institute of Medical Sciences, New Delhi, India
| | - Sunil Kumar
- Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - Timo Gaiser
- Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Katrin S Kurz
- Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany.,Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany
| | - German Ott
- Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany.,Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany
| | - Stefan Porubsky
- Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany.,Institute of Pathology, University Hospital, Johannes-Gutenberg University Mainz, Mainz, Germany
| | - Gerhard Preissler
- Department of Thoracic Surgery, Schillerhöhe Clinics, Robert-Bosch-Krankenhaus, Gerlingen, Germany
| | - Christian G Sauer
- Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sebastian Schölch
- Department of Surgery, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany.,Junior Clinical Cooperation Unit Translational Surgical Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Philipp Ströbel
- Institute of Pathology, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany
| | - Thomas Hielscher
- Department of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alexander Marx
- Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Zoran V Popovic
- Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
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13
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Gujral UP, Kanaya AM. Epidemiology of diabetes among South Asians in the United States: lessons from the MASALA study. Ann N Y Acad Sci 2021; 1495:24-39. [PMID: 33216378 PMCID: PMC8134616 DOI: 10.1111/nyas.14530] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 10/19/2020] [Accepted: 10/21/2020] [Indexed: 02/06/2023]
Abstract
South Asian individuals in the United States are at an increased risk of type 2 diabetes (T2DM); however, the mechanisms behind this are not well understood. The Mediators of Atherosclerosis in South Asians Living in America (MASALA) study is the only longitudinal cohort of South Asians in the United States and provides key insights as to the epidemiology of T2DM in South Asians. Evidence from the MASALA study suggests that South Asians experience a disproportionately high burden of prevalent and incident T2DM compared with members of other race/ethnic groups. Higher insulin resistance in South Asians, even with low body mass index (BMI), more impairment in insulin secretion, and greater deposition of ectopic fat likely play a role in T2DM etiology. Furthermore, South Asian migrants to the United States experience a range of factors related to acculturation, social networks, and religious beliefs, which may impact physical activity and dietary practices. Interventions to prevent T2DM in South Asians should include a focus on cultural factors related to health and should consider the complete mechanistic pathway and the relative contributions of insulin resistance, β cell dysfunction, and ectopic fat deposition on T2DM development in South Asians, particularly in those with lower BMI.
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Affiliation(s)
- Unjali P. Gujral
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Alka M. Kanaya
- Division of General Internal Medicine, University of California, San Francisco, San Francisco, CA
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14
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Sun YV, Liu C, Staimez L, Ali MK, Chang H, Kondal D, Patel S, Jones D, Mohan V, Tandon N, Prabhakaran D, Quyyumi AA, Narayan KMV, Agrawal A. Cardiovascular disease risk and pathophysiology in South Asians: can longitudinal multi-omics shed light? Wellcome Open Res 2021; 5:255. [PMID: 34136649 PMCID: PMC8176264 DOI: 10.12688/wellcomeopenres.16336.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2021] [Indexed: 12/12/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality in South Asia, with rapidly increasing prevalence of hypertension, type 2 diabetes (T2DM) and hyperlipidemia over the last two decades. Atherosclerotic CVD (ASCVD) affects South Asians earlier in life and at lower body weights, which is not fully explained by differential burden of conventional risk factors. Heart failure (HF) is a complex clinical syndrome of heterogeneous structural phenotypes including two major clinical subtypes, HF with preserved (HFpEF) and reduced ejection fraction (HFrEF). The prevalence of HF in South Asians is also rising with other metabolic diseases, and HFpEF develops at younger age and leaner body mass index in South Asians than in Whites. Recent genome-wide association studies, epigenome-wide association studies and metabolomic studies of ASCVD and HF have identified genes, metabolites and pathways associated with CVD traits. However, these findings were mostly driven by samples of European ancestry, which may not accurately represent the CVD risk at the molecular level, and the unique risk profile of CVD in South Asians. Such bias, while formulating hypothesis-driven research studies, risks missing important causal or predictive factors unique to South Asians. Importantly, a longitudinal design of multi-omic markers can capture the life-course risk and natural history related to CVD, and partially disentangle putative causal relationship between risk factors, multi-omic markers and subclinical and clinical ASCVD and HF. In conclusion, combining high-resolution untargeted metabolomics with epigenomics of rigorous, longitudinal design will provide comprehensive unbiased molecular characterization of subclinical and clinical CVD among South Asians. A thorough understanding of CVD-associated metabolomic profiles, together with advances in epigenomics and genomics, will lead to more accurate estimates of CVD progression and stimulate new strategies for improving cardiovascular health.
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Affiliation(s)
- Yan V Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.,Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, 30322, USA
| | - Chang Liu
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Lisa Staimez
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.,Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, 30322, USA
| | - Howard Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | | | - Shivani Patel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Dean Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, 30322, USA
| | | | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Arshed A Quyyumi
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Anurag Agrawal
- Institute of Genomics and Integrative Biology, Council of Scientific and Industrial Research, New Delhi, India
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15
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Wolf RM, Nagpal M, Magge SN. Diabetes and cardiometabolic risk in South Asian youth: A review. Pediatr Diabetes 2021; 22:52-66. [PMID: 32666595 PMCID: PMC8191592 DOI: 10.1111/pedi.13078] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 05/22/2020] [Accepted: 06/02/2020] [Indexed: 12/15/2022] Open
Abstract
South Asians are at increased risk for developing type 2 diabetes and cardiovascular disease at lower body mass index compared to other ancestral groups. Many factors contribute to this increased risk, including genetics, maternal-fetal factors, diet, fitness, body composition, and unique pathophysiology. Increased cardiometabolic risk is also seen at younger ages in South Asian individuals as compared to their White counterparts. This risk persists in migrant communities outside of South Asia. With the growing prevalence of obesity, diabetes, and cardiovascular disease in the South Asian population, it is imperative that we had better understand the mechanisms underlying this increased risk and implement strategies to address this growing public health problem during childhood and adolescence.
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Affiliation(s)
- Risa M Wolf
- Department of Pediatrics, Division of Endocrinology and Diabetes, Johns Hopkins University School of Medicine
| | - Mohika Nagpal
- Department of Pediatrics, Division of Endocrinology and Diabetes, Johns Hopkins University School of Medicine
| | - Sheela N. Magge
- Department of Pediatrics, Division of Endocrinology and Diabetes, Johns Hopkins University School of Medicine
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16
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Kim H, Hu EA, E Wong K, Yu B, Steffen LM, Seidelmann SB, Boerwinkle E, Coresh J, Rebholz CM. Serum Metabolites Associated with Healthy Diets in African Americans and European Americans. J Nutr 2020; 151:40-49. [PMID: 33244610 PMCID: PMC7779213 DOI: 10.1093/jn/nxaa338] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 09/28/2020] [Accepted: 10/05/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND High diet quality is associated with a lower risk of chronic diseases. Metabolomics can be used to identify objective biomarkers of diet quality. OBJECTIVES We used metabolomics to identify serum metabolites associated with 4 diet indices and the components within these indices in 2 samples from African Americans and European Americans. METHODS We studied cross-sectional associations between known metabolites and Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension Trial (DASH) diet, alternate Mediterranean diet (aMED), and their components using untargeted metabolomics in 2 samples (n1 = 1,806, n2 = 2,056) of the Atherosclerosis Risk in Communities study (aged 45-64 y at baseline). Dietary intakes were assessed using an FFQ. We used multivariable linear regression models to examine associations between diet indices and serum metabolites in each sample, adjusting for participant characteristics. Metabolites significantly associated with diet indices were meta-analyzed across 2 samples. C-statistics were calculated to examine if these candidate biomarkers improved prediction of individuals in the highest compared with lowest quintile of diet scores beyond participant characteristics. RESULTS Seventeen unique metabolites (HEI: n = 6; AHEI: n = 5; DASH: n = 14; aMED: n = 2) were significantly associated with higher diet scores after Bonferroni correction in sample 1 and sample 2. Six of 17 significant metabolites [glycerate, N-methylproline, stachydrine, threonate, pyridoxate, 3-(4-hydroxyphenyl)lactate)] were associated with ≥1 dietary pattern. Candidate biomarkers of HEI, AHEI, and DASH distinguished individuals with highest compared with lowest quintile of diet scores beyond participant characteristics in samples 1 and 2 (P value for difference in C-statistics <0.02 for all 3 diet indices). Candidate biomarkers of aMED did not improve C-statistics beyond participant characteristics (P value = 0.930). CONCLUSIONS A considerable overlap of metabolites associated with HEI, AHEI, DASH, and aMED reflects the similar food components and similar metabolic pathways involved in the metabolism of healthy diets in African Americans and European Americans.
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Affiliation(s)
- Hyunju Kim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Emily A Hu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Kari E Wong
- Metabolon, Research Triangle Park, Morrisville, NC, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, TX, USA
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, TX, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
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17
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Sun YV, Liu C, Staimez L, Ali MK, Chang H, Kondal D, Patel S, Jones D, Mohan V, Tandon N, Prabhakaran D, Quyyumi AA, Narayan KMV, Agrawal A. Cardiovascular disease risk and pathophysiology in South Asians: can longitudinal multi-omics shed light? Wellcome Open Res 2020; 5:255. [DOI: 10.12688/wellcomeopenres.16336.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 11/20/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality in South Asia, with rapidly increasing prevalence of hypertension, type 2 diabetes and hyperlipidemia over the last two decades. Atherosclerotic CVD (ASCVD) affects South Asians earlier in life and at lower body weights, which is not fully explained by differential burden of conventional risk factors. Heart failure (HF) is a complex clinical syndrome of heterogeneous structural phenotypes including two major clinical subtypes, HF with preserved (HFpEF) and reduced ejection fraction (HFrEF). The prevalence of HF in South Asians is also rising with other metabolic diseases, and HFpEF develops at younger age and leaner body mass index in South Asians than in Whites. Recent genome-wide association studies, epigenome-wide association studies and metabolomic studies of ASCVD and HF have identified genes, metabolites and pathways associated with CVD traits. However, these findings were mostly driven by samples of European ancestry, which may not accurately represent the CVD risk at the molecular level, and the unique risk profile of CVD in South Asians. Such bias, while formulating hypothesis-driven research studies, risks missing important causal or predictive factors unique to South Asians. Importantly, a longitudinal design of multi-omic markers can capture the life-course risk and natural history related to CVD, and partially disentangle putative causal relationship between risk factors, multi-omic markers and subclinical and clinical ASCVD and HF. In conclusion, combining high-resolution untargeted metabolomics with epigenomics of rigorous, longitudinal design will provide comprehensive unbiased molecular characterization of subclinical and clinical CVD among South Asians. A thorough understanding of CVD-associated metabolomic profiles, together with advances in epigenomics and genomics, will lead to more accurate estimates of CVD progression and stimulate new strategies for improving cardiovascular health.
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18
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McGee EE, Kiblawi R, Playdon MC, Eliassen AH. Nutritional Metabolomics in Cancer Epidemiology: Current Trends, Challenges, and Future Directions. Curr Nutr Rep 2020; 8:187-201. [PMID: 31129888 DOI: 10.1007/s13668-019-00279-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW Metabolomics offers several opportunities for advancement in nutritional cancer epidemiology; however, numerous research gaps and challenges remain. This narrative review summarizes current research, challenges, and future directions for epidemiologic studies of nutritional metabolomics and cancer. RECENT FINDINGS Although many studies have used metabolomics to investigate either dietary exposures or cancer, few studies have explicitly investigated diet-cancer relationships using metabolomics. Most studies have been relatively small (≤ ~ 250 cases) or have assessed a limited number of nutritional metabolites (e.g., coffee or alcohol-related metabolites). Nutritional metabolomic investigations of cancer face several challenges in study design; biospecimen selection, handling, and processing; diet and metabolite measurement; statistical analyses; and data sharing and synthesis. More metabolomics studies linking dietary exposures to cancer risk, prognosis, and survival are needed, as are biomarker validation studies, longitudinal analyses, and methodological studies. Despite the remaining challenges, metabolomics offers a promising avenue for future dietary cancer research.
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Affiliation(s)
- Emma E McGee
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Rama Kiblawi
- Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Mary C Playdon
- Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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19
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Lécuyer L, Dalle C, Micheau P, Pétéra M, Centeno D, Lyan B, Lagree M, Galan P, Hercberg S, Rossary A, Demidem A, Vasson MP, Partula V, Deschasaux M, Srour B, Latino-Martel P, Druesne-Pecollo N, Kesse-Guyot E, Durand S, Pujos-Guillot E, Manach C, Touvier M. Untargeted plasma metabolomic profiles associated with overall diet in women from the SU.VI.MAX cohort. Eur J Nutr 2020; 59:3425-3439. [DOI: 10.1007/s00394-020-02177-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 01/03/2020] [Indexed: 12/22/2022]
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20
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Abstract
Metabolomics has been increasingly applied to study renal and related cardiometabolic diseases, including diabetes and cardiovascular diseases. These studies span cross-sectional studies correlating metabolites with specific phenotypes, longitudinal studies to identify metabolite predictors of future disease, and physiologic/interventional studies to probe underlying causal relationships. This chapter provides a description of how metabolomic profiling is being used in these contexts, with an emphasis on study design considerations as a practical guide for investigators who are new to this area. Research in kidney diseases is underlined to illustrate key principles. The chapter concludes by discussing the future potential of metabolomics in the study of renal and cardiometabolic diseases.
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21
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Abstract
Purpose of Review This review focuses on lipoprotein abnormalities in South Asians (SA) and addresses risk stratification and management strategies to lower atherosclerotic cardiovascular disease (ASCVD) in this high-risk population. Recent Findings South Asians (SAs) are the fastest growing ethnic group in the United States (U.S) and have an increased risk of premature coronary artery disease (CAD). While the etiology may be multifactorial, lipoprotein abnormalities play a key role. SAs have lower low-density lipoprotein cholesterol (LDL-C) compared with Whites and at any given LDL-C level, SA ethnicity poses a higher risk of myocardial infarction (MI) and coronary artery disease (CAD) compared with other non-Asian groups. SAs have lower high-density lipoprotein cholesterol (HDL-C) with smaller particle sizes of HDL-C compared with Whites. SAs also have higher triglycerides than Whites which is strongly related to the high prevalence of metabolic syndrome in SAs. Lipoprotein a (Lp(a)) levels are also higher in SAs compared with many other ethnic groups. This unique lipoprotein profile plays a vital role in the elevated ASCVD risk in SAs. Studies evaluating dietary patterns of SAs in the U.S show high consumption of carbohydrates and saturated fats. Summary SAs have a high-risk lipoprotein profile compared with other ethnicities. Lipid abnormalities play a central role in the pathogenesis of CAD in SAs. More studies are needed to understand the true impact of the various lipoproteins and their contribution to increasing ASCVD in SAs. Aggressive lowering of LDL-C in high-risk groups using medications, such as statins, and lifestyle modification including dietary changes is essential in overall CAD risk reduction.
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22
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Tabung FK, Balasubramanian R, Liang L, Clinton SK, Cespedes Feliciano EM, Manson JE, Van Horn L, Wactawski-Wende J, Clish CB, Giovannucci EL, Rexrode KM. Identifying Metabolomic Profiles of Insulinemic Dietary Patterns. Metabolites 2019; 9:metabo9060120. [PMID: 31238601 PMCID: PMC6630814 DOI: 10.3390/metabo9060120] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 06/16/2019] [Accepted: 06/19/2019] [Indexed: 12/11/2022] Open
Abstract
The food-based empirical dietary index for hyperinsulinemia (EDIH) score assesses the insulinemic potential of diet. This cross-sectional study evaluated associations between EDIH scores from food frequency questionnaires with c-peptide concentrations and with 448 metabolites, from fasting plasma samples, in multivariable linear regression analyses. Metabolites were measured with liquid chromatography tandem mass spectroscopy. Using a robust two-stage study design, discovery of metabolite associations was conducted among 1109 Women's Health Initiative (WHI) Hormone Therapy (HT) trial participants and results replicated in an independent dataset of 810 WHI Observational Study (OS) participants. In both discovery and replication datasets, statistical significance was based on the false-discovery rate adjusted P < 0.05. In the multivariable-adjusted analyses, EDIH was significantly associated with c-peptide concentrations among 919 women (HT & OS) with c-peptide data. On average, c-peptide concentrations were 18% higher (95% CI, 6%, 32%; P-trend < 0.0001) in EDIH quintile 5 compared to quintile 1. Twenty-six metabolites were significantly associated with EDIH in the discovery dataset, and 19 of these were replicated in the validation dataset. Nine metabolites were found to decrease in abundance with increasing EDIH scores and included: C14:0 CE, C16:1 CE, C18:1 CE, C18:3 CE, C20:3 CE, C20:5 CE, C36:1 PS plasmalogen, trigonelline, and eicosapentanoate, whereas the 10 metabolites observed to increase with increasing EDIH scores were: C18:2 SM, C36:3 DAG, C36:4 DAG-A, C51:3 TAG, C52:3 TAG, C52:4, TAG, C54:3 TAG, C54:4 TAG, C54:6 TAG, and C10:2 carnitine. Cholesteryl esters, phospholipids, acylglycerols, and acylcarnitines may constitute circulating metabolites that are associated with insulinemic dietary patterns.
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Affiliation(s)
- Fred K Tabung
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH 43210, USA.
- The Ohio State University Comprehensive Cancer Center-Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH 43210, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
- Division of Women's Health, Brigham and Women's Hospital, Boston, MA 02115, USA.
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, MA 01003, USA.
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Steven K Clinton
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH 43210, USA.
- The Ohio State University Comprehensive Cancer Center-Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH 43210, USA.
| | | | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
- Harvard Medical School, Boston, MA 02115, USA.
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA.
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, The State University of New York, Buffalo, NY 14214, USA.
| | - Clary B Clish
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA.
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
- Harvard Medical School, Boston, MA 02115, USA.
| | - Kathryn M Rexrode
- Division of Women's Health, Brigham and Women's Hospital, Boston, MA 02115, USA.
- Harvard Medical School, Boston, MA 02115, USA.
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23
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Rousseau M, Guénard F, Garneau V, Allam-Ndoul B, Lemieux S, Pérusse L, Vohl MC. Associations Between Dietary Protein Sources, Plasma BCAA and Short-Chain Acylcarnitine Levels in Adults. Nutrients 2019; 11:nu11010173. [PMID: 30650556 PMCID: PMC6356602 DOI: 10.3390/nu11010173] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 01/11/2019] [Accepted: 01/11/2019] [Indexed: 01/11/2023] Open
Abstract
Elevated plasma branched-chain amino acids (BCAA) and C3 and C5 acylcarnitines (AC) levels observed in individuals with insulin resistance (IR) might be influenced by dietary protein intakes. This study explores the associations between dietary protein sources, plasma BCAA levels and C3 and C5 ACs in normal weight (NW) or overweight (OW) individuals with or without metabolic syndrome (MS). Data from 199 men and women aged 18⁻55 years with complete metabolite profile were analyzed. Associations between metabolic parameters, protein sources, plasma BCAA and AC levels were tested. OW/MS+ consumed significantly more animal protein (p = 0.0388) and had higher plasma BCAA levels (p < 0.0001) than OW/MS- or NW/MS- individuals. Plasma BCAA levels were not associated with BCAA intakes in the whole cohort, while there was a trend for an association between plasma BCAA levels and red meat or with animal protein in OW/MS+. These associations were of weak magnitude. In NW/MS- individuals, the protein sources associated with BCAA levels varied greatly with adjustment for confounders. Plasma C3 and C5 ACs were associated with plasma BCAA levels in the whole cohort (p < 0.0001) and in subgroups based on OW and MS status. These results suggest a modest association of meat or animal protein intakes and an association of C3 and C5 ACs with plasma BCAA levels, obesity and MS.
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Affiliation(s)
- Michèle Rousseau
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Frédéric Guénard
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Véronique Garneau
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Bénédicte Allam-Ndoul
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Simone Lemieux
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Louis Pérusse
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- Department of Kinesiology, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
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