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Hamilton EM, Yang L, Wright N, Turnbull I, Mentzer AJ, Matthews PC, Chen Y, Du H, Kartsonaki C, Pang Y, Pei P, Tian H, Yang X, Avery D, Yu C, Lv J, Clarke R, Li L, Millwood IY, Chen Z. Chronic Hepatitis B Virus Infection and Risk of Stroke Types: A Prospective Cohort Study of 500 000 Chinese Adults. Stroke 2023; 54:3046-3053. [PMID: 37942646 PMCID: PMC10664797 DOI: 10.1161/strokeaha.123.043327] [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: 03/23/2023] [Revised: 10/12/2023] [Accepted: 10/17/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Stroke is a leading cause of mortality and permanent disability in China, with large and unexplained geographic variations in rates of different stroke types. Chronic hepatitis B virus infection is prevalent among Chinese adults and may play a role in stroke cause. METHODS The prospective China Kadoorie Biobank included >500 000 adults aged 30 to 79 years who were recruited from 10 (5 urban and 5 rural) geographically diverse areas of China from 2004 to 2008, with determination of hepatitis B surface antigen (HBsAg) positivity at baseline. During 11 years of follow-up, a total of 59 117 incident stroke cases occurred, including 11 318 intracerebral hemorrhage (ICH), 49 971 ischemic stroke, 995 subarachnoid hemorrhage, and 3036 other/unspecified stroke. Cox regression models were used to estimate adjusted hazard ratios (HRs) for risk of stroke types associated with HBsAg positivity. In a subset of 17 833 participants, liver enzymes and lipids levels were measured and compared by HBsAg status. RESULTS Overall, 3.0% of participants were positive for HBsAg. HBsAg positivity was associated with an increased risk of ICH (adjusted HR, 1.29 [95% CI, 1.16-1.44]), similarly for fatal (n=5982; adjusted HR, 1.36 [95% CI, 1.16-1.59]) and nonfatal (n=5336; adjusted HR, 1.23 [95% CI, 1.06-1.44]) ICH. There were no significant associations of HBsAg positivity with risks of ischemic stroke (adjusted HR, 0.97 [95% CI, 0.92-1.03]), subarachnoid hemorrhage (adjusted HR, 0.87 [95% CI, 0.57-1.33]), or other/unspecified stroke (adjusted HR, 1.12 [95% CI, 0.89-1.42]). Compared with HBsAg-negative counterparts, HBsAg-positive individuals had lower lipid and albumin levels and higher liver enzyme levels. After adjustment for liver enzymes and albumin, the association with ICH from HBsAg positivity attenuated to 1.15 (0.90-1.48), suggesting possible mediation by abnormal liver function. CONCLUSIONS Among Chinese adults, chronic hepatitis B virus infection is associated with an increased risk of ICH but not other stroke types, which may be mediated through liver dysfunction and altered lipid metabolism.
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Affiliation(s)
- Elizabeth M. Hamilton
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (L.Y., C.K., I.Y.M., Z.C), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Neil Wright
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Iain Turnbull
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Alexander J. Mentzer
- Wellcome Centre for Human Genetics (A.J.M.), University of Oxford, United Kingdom
| | - Philippa C. Matthews
- Division of Infection and Immunity, University College London, United Kingdom (P.C.M.)
- Matthews lab HBV Elimination Laboratory, The Francis Crick Institute, London, United Kingdom (P.C.M.)
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (Y.P., P.P., C.Y., J.L., L.L.)
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Christiana Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (L.Y., C.K., I.Y.M., Z.C), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (Y.P., C.Y., J.L., L.L.)
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (Y.P., P.P., C.Y., J.L., L.L.)
| | - Huizi Tian
- Non-Communicable Diseases Prevention and Control Department, Henan, China (H.T.)
| | - Xiaoming Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Daniel Avery
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (Y.P., C.Y., J.L., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (Y.P., P.P., C.Y., J.L., L.L.)
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (Y.P., C.Y., J.L., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (Y.P., P.P., C.Y., J.L., L.L.)
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (Y.P., C.Y., J.L., L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China (Y.P., P.P., C.Y., J.L., L.L.)
| | - Iona Y. Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (L.Y., C.K., I.Y.M., Z.C), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (E.M.H., L.Y., N.W., I.T., Y.C., H.D., C.K., X.Y., D.A., R.C., I.Y.M., Z.C.), Nuffield Department of Population Health, University of Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (L.Y., C.K., I.Y.M., Z.C), Nuffield Department of Population Health, University of Oxford, United Kingdom
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da Silva ACR, Yadegari A, Tzaneva V, Vasanthan T, Laketic K, Shearer J, Bainbridge SA, Harris C, Adamo KB. Metabolomics to Understand Alterations Induced by Physical Activity during Pregnancy. Metabolites 2023; 13:1178. [PMID: 38132860 PMCID: PMC10745110 DOI: 10.3390/metabo13121178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023] Open
Abstract
Physical activity (PA) and exercise have been associated with a reduced risk of cancer, obesity, and diabetes. In the context of pregnancy, maintaining an active lifestyle has been shown to decrease gestational weight gain (GWG) and lower the risk of gestational diabetes mellitus (GDM), hypertension, and macrosomia in offspring. The main pathways activated by PA include BCAAs, lipids, and bile acid metabolism, thereby improving insulin resistance in pregnant individuals. Despite these known benefits, the underlying metabolites and biological mechanisms affected by PA remain poorly understood, highlighting the need for further investigation. Metabolomics, a comprehensive study of metabolite classes, offers valuable insights into the widespread metabolic changes induced by PA. This narrative review focuses on PA metabolomics research using different analytical platforms to analyze pregnant individuals. Existing studies support the hypothesis that exercise behaviour can influence the metabolism of different populations, including pregnant individuals and their offspring. While PA has shown considerable promise in maintaining metabolic health in non-pregnant populations, our comprehension of metabolic changes in the context of a healthy pregnancy remains limited. As a result, further investigation is necessary to clarify the metabolic impact of PA within this unique group, often excluded from physiological research.
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Affiliation(s)
- Ana Carolina Rosa da Silva
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; (A.C.R.d.S.)
| | - Anahita Yadegari
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; (A.C.R.d.S.)
| | - Velislava Tzaneva
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; (A.C.R.d.S.)
| | - Tarushika Vasanthan
- Department of Chemistry and Biology, Toronto Metropolitan University, Toronto, ON M5G 2A7, Canada
| | - Katarina Laketic
- Alberta Children’s Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Jane Shearer
- Department of Biochemistry and Molecular Biology, Faculty of Kinesiology, Cumming School of Medicine and Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Shannon A. Bainbridge
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, Ottawa, ON K1N 6N5, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Cory Harris
- Department of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada;
| | - Kristi B. Adamo
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; (A.C.R.d.S.)
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Du Y, Li YY, Choi BY, Fernadez R, Su KJ, Sharma K, Qi L, Yin Z, Zhao Q, Shen H, Qiu C, Zhao LJ, Luo Z, Wu L, Tian Q, Deng HW. Metabolomic profiles associated with physical activity in White and African American adult men. PLoS One 2023; 18:e0289077. [PMID: 37943870 PMCID: PMC10635561 DOI: 10.1371/journal.pone.0289077] [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: 12/09/2022] [Accepted: 07/11/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Physical activity (PA) is associated with various health benefits, especially in improving chronic health conditions. However, the metabolic changes in host metabolism in response to PA remain unclear, especially in racially/ethnically diverse populations. OBJECTIVE This study is to assess the metabolic profiles associated with the frequency of PA in White and African American (AA) men. METHODS Using the untargeted metabolomics data collected from 698 White and AA participants (mean age: 38.0±8.0, age range: 20-50) from the Louisiana Osteoporosis Study (LOS), we conducted linear regression models to examine metabolites that are associated with PA levels (assessed by self-reported regular exercise frequency levels: 0, 1-2, and ≥3 times per week) in White and AA men, respectively, as well as in the pooled sample. Covariates considered for statistical adjustments included race (only for the pooled sample), age, BMI, waist circumstance, smoking status, and alcohol drinking. RESULTS Of the 1133 untargeted compounds, we identified 7 metabolites associated with PA levels in the pooled sample after covariate adjustment with a false discovery rate of 0.15. Specifically, compared to participants who did not exercise, those who exercised at a frequency ≥3 times/week showed higher abundances in uracil, orotate, 1-(1-enyl-palmitoyl)-2-oleoyl-GPE (P-16:0/18:1) (GPE), threonate, and glycerate, but lower abundances in salicyluric glucuronide and adenine in the pooled sample. However, in Whites, salicyluric glucuronide and orotate were not significant. Adenine, GPE, and threonate were not significant in AAs. In addition, the seven metabolites were not significantly different between participants who exercised ≥3 times/week and 1-2 times/week, nor significantly different between participants with 1-2 times/week and 0/week in the pooled sample and respective White and AA groups. CONCLUSIONS Metabolite responses to PA are dose sensitive and may differ between White and AA populations. The identified metabolites may help advance our knowledge of guiding precision PA interventions. Studies with rigorous study designs are warranted to elucidate the relationship between PA and metabolites.
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Affiliation(s)
- Yan Du
- School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Yuan-Yuan Li
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill School of Public Health, Kannapolis, North Carolina, United States of America
| | - Byeong Yeob Choi
- Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Roman Fernadez
- Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Kuan-Jui Su
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University; New Orleans, LA, United States of America
| | - Kumar Sharma
- Center for Precision Medicine, School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University; New Orleans, LA, United States of America
| | - Zenong Yin
- Department of Public Health, University of Texas at San Antonio, San Antonio, TX, United States of America
| | - Qi Zhao
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, United States of America
| | - Hui Shen
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University; New Orleans, LA, United States of America
| | - Chuan Qiu
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University; New Orleans, LA, United States of America
| | - Lan-Juan Zhao
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University; New Orleans, LA, United States of America
| | - Zhe Luo
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University; New Orleans, LA, United States of America
| | - Li Wu
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University; New Orleans, LA, United States of America
| | - Qing Tian
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University; New Orleans, LA, United States of America
| | - Hong-Wen Deng
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University; New Orleans, LA, United States of America
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Huang Z, Klaric L, Krasauskaite J, Khalid W, Strachan MWJ, Wilson JF, Price JF. Combining serum metabolomic profiles with traditional risk factors improves 10-year cardiovascular risk prediction in people with type 2 diabetes. Eur J Prev Cardiol 2023; 30:1255-1262. [PMID: 37172216 DOI: 10.1093/eurjpc/zwad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/08/2023] [Accepted: 05/10/2023] [Indexed: 05/14/2023]
Abstract
AIMS To identify a group of metabolites associated with incident cardiovascular disease (CVD) in people with type 2 diabetes and assess its predictive performance over-and-above a current CVD risk score (QRISK3). METHODS AND RESULTS A panel of 228 serum metabolites was measured at baseline in 1066 individuals with type 2 diabetes (Edinburgh Type 2 Diabetes Study) who were then followed up for CVD over the subsequent 10 years. We applied 100 repeats of Cox least absolute shrinkage and selection operator to select metabolites with frequency >90% as components for a metabolites-based risk score (MRS). The predictive performance of the MRS was assessed in relation to a reference model that was based on QRISK3 plus prevalent CVD and statin use at baseline. Of 1021 available individuals, 255 (25.0%) developed CVD (median follow-up: 10.6 years). Twelve metabolites relating to fluid balance, ketone bodies, amino acids, fatty acids, glycolysis, and lipoproteins were selected to construct the MRS that showed positive association with 10-year cardiovascular risk following adjustment for traditional risk factors [hazard ratio (HR) 2.67; 95% confidence interval (CI) 1.96, 3.64]. The c-statistic was 0.709 (95%CI 0.679, 0.739) for the reference model alone, increasing slightly to 0.728 (95%CI 0.700, 0.757) following addition of the MRS. Compared with the reference model, the net reclassification index and integrated discrimination index for the reference model plus the MRS were 0.362 (95%CI 0.179, 0.506) and 0.041 (95%CI 0.020, 0.071), respectively. CONCLUSION Metabolomics data might improve predictive performance of current CVD risk scores based on traditional risk factors in people with type 2 diabetes. External validation is warranted to assess the generalizability of improved CVD risk prediction using the MRS.
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Affiliation(s)
- Zhe Huang
- Centre for Global Health, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - Lucija Klaric
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Justina Krasauskaite
- Centre for Global Health, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - Wardah Khalid
- Centre for Global Health, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - Mark W J Strachan
- Metabolic Unit, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - James F Wilson
- Centre for Global Health, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Jackie F Price
- Centre for Global Health, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
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Zhang J, Fang XY, Leng R, Chen HF, Qian TT, Cai YY, Zhang XH, Wang YY, Mu M, Tao XR, Leng RX, Ye DQ. Metabolic signature of healthy lifestyle and risk of rheumatoid arthritis: observational and Mendelian randomization study. Am J Clin Nutr 2023:S0002-9165(23)48892-2. [PMID: 37127109 DOI: 10.1016/j.ajcnut.2023.04.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 04/10/2023] [Accepted: 04/26/2023] [Indexed: 05/03/2023] Open
Abstract
BACKGROUND While substantial evidence reveals that healthy lifestyle behaviors are associated with a lower risk of rheumatoid arthritis (RA), the underlying metabolic mechanisms remain unclear. OBJECTIVES This study aimed to identify the metabolic signature reflecting a healthy lifestyle and investigate its observational and genetic linkage with RA risk. METHODS This study included 87,258 UK Biobank participants (557 cases of incident RA) aged 37 to 73 years with complete lifestyle, genotyping and nuclear magnetic resonance (NMR) metabolomics data. A healthy lifestyle was assessed based on five factors: healthy diet, regular exercise, not smoking, moderate alcohol consumption, and normal body mass index. The metabolic signature was developed by summing selected metabolites' concentrations weighted by the coefficients using elastic net regression. We used multivariate Cox model to assess the associations between metabolic signatures and RA risk, and examined the mediating role of the metabolic signature in the impact of a healthy lifestyle on RA. We performed genome-wide association analysis (GWAS) to obtain genetic variants associated with the metabolic signature, then conducted Mendelian randomization (MR) analyses to detect causality. RESULTS The metabolic signature comprised of 81 metabolites, robustly correlated with healthy lifestyle ( r = 0.45, P = 4.2 × 10-15). The metabolic signature was inversely associated with RA risk (HR per SD increment: 0.76, 95% CI: 0.70-0.83), and largely explained protective effects of healthy lifestyle on RA with 64% (95%CI: 50.4-83.3) mediation proportion. One and two-sample MR analyses also consistently showed the associations of genetically inferred per SD increment in metabolic signature with a reduction in RA risk (HR: 0.84, 95% CI: 0.75-0.94, P = 0.002 and OR: 0.84, 95% CI: 0.73-0.97, P = 0.02 respectively). CONCLUSION Our findings implicate the metabolic signature reflecting healthy lifestyle as a potential causal mediator in the development of RA, highlighting the importance of early lifestyle intervention and metabolic tracking for precise prevention of RA.
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Affiliation(s)
- Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Rui Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Hai-Feng Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Ting-Ting Qian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Yu-Yu Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Xin-Hong Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Yi-Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Min Mu
- School of Public Health, Anhui University of Science and Technology, Huainan, Anhui, 232001, China
| | - Xin-Rong Tao
- School of Public Health, Anhui University of Science and Technology, Huainan, Anhui, 232001, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China.
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China; School of Public Health, Anhui University of Science and Technology, Huainan, Anhui, 232001, China.
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Heath H, Degreef K, Rosario R, Smith M, Mitchell I, Pilolla K, Phelan S, Brito A, La Frano MR. Identification of potential biomarkers and metabolic insights for gestational diabetes prevention: A review of evidence contrasting gestational diabetes versus weight loss studies that may direct future nutritional metabolomics studies. Nutrition 2023; 107:111898. [PMID: 36525799 DOI: 10.1016/j.nut.2022.111898] [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: 06/22/2021] [Revised: 08/22/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
Abstract
Gestational diabetes mellitus (GDM) significantly increases maternal health risks and adverse effects for the offspring. Observational studies suggest that weight loss before pregnancy may be a promising GDM prevention method. Still, biochemical pathways linking preconception weight changes with subsequent development of GDM among women who are overweight or obese remain unclear. Metabolomic assessment is a powerful approach for understanding the global biochemical pathways linking preconception weight changes and subsequent GDM. We hypothesize that many of the alterations of metabolite levels associated with GDM will change in one direction in GDM studies but will change in the opposite direction in studies focusing on lifestyle interventions for weight loss. The present review summarizes available evidence from 21 studies comparing women with GDM with healthy participants and 12 intervention studies that investigated metabolite changes that occurred during weight loss using caloric restriction and behavioral interventions. We discuss 15 metabolites, including amino acids, lipids, amines, carbohydrates, and carbohydrate derivatives. Of particular note are the altered levels of branched-chain amino acids, alanine, palmitoleic acid, lysophosphatidylcholine 18:1, and hypoxanthine because of their mechanistic links to insulin resistance and weight change. Mechanisms that may explain how these metabolite modifications contribute to GDM development in those who are overweight or obese are proposed, including insulin resistance pathways. Future nutritional metabolomics preconception intervention studies in overweight or obese are necessary to investigate whether weight loss through lifestyle intervention can reduce GDM occurrence in association with these metabolite alterations and to test the value of these metabolites as potential diagnostic biomarkers of GDM development.
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Affiliation(s)
- Hannah Heath
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, California
| | - Kelsey Degreef
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, California
| | - Rodrigo Rosario
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, California
| | - MaryKate Smith
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, California
| | - Isabel Mitchell
- Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, California
| | - Kari Pilolla
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, California; Center for Health Research, California Polytechnic State University, San Luis Obispo, California
| | - Suzanne Phelan
- Center for Health Research, California Polytechnic State University, San Luis Obispo, California; Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, California
| | - Alex Brito
- Laboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow State Medical University, Moscow, Russia; World-Class Research Center "Digital Biodesign and Personalized Health Care," I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Michael R La Frano
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, California; Center for Health Research, California Polytechnic State University, San Luis Obispo, California; Cal Poly Metabolomics Service Center, California Polytechnic State University, San Luis Obispo, California
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7
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Lu Q, Chen J, Li R, Wang Y, Tu Z, Geng T, Liu L, Pan A, Liu G. Healthy lifestyle, plasma metabolites, and risk of cardiovascular disease among individuals with diabetes. Atherosclerosis 2023; 367:48-55. [PMID: 36642660 DOI: 10.1016/j.atherosclerosis.2022.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 12/06/2022] [Accepted: 12/21/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND AIMS Lifestyle management is a fundamental aspect of diabetes care to prevent cardiovascular disease (CVD); however, the underlying metabolic mechanism is not well established. We aimed to identify metabolites associated with different lifestyle factors, and estimate their mediating roles between lifestyle and CVD risk among people with diabetes. METHODS Lifestyle and metabolomic data were available for 5072 participants with diabetes who were free of CVD at baseline in the UK Biobank. The healthy level of 5 lifestyle factors was defined as non-central obesity, non-current smoking, moderate alcohol intake, physically active, and healthy diet. A total of 44 biomarkers across 7 metabolic pathways including lipoprotein particles, fatty acids, amino acids, fluid balance, inflammation, ketone bodies, and glycolysis were quantified by nuclear magnetic resonance (NMR) spectroscopy. RESULTS All 44 assayed metabolites were significantly associated with at least one lifestyle factor. Approximately half of metabolites, which were mostly lipoprotein particles and fatty acids, showed a mediating effect between at least one lifestyle factor and CVD risk. NMR metabolites jointly mediated 43.4%, 30.0%, 16.8%, 43.4%, and 65.5% of the association of non-central obesity, non-current smoking, moderate alcohol intake, physically active, and healthy diet with lower CVD risk, respectively. In general, though metabolites that significantly associated with lifestyle were mostly different across the 5 lifestyle factors, the pattern of association was consistent between fatty acids and all 5 lifestyle factors. Further, fatty acids showed significant mediating effects in the association between all 5 lifestyle factors and CVD risk with mediation proportion ranging from 12.2% to 26.8%. CONCLUSIONS There were large-scale differences in circulating NMR metabolites between individuals with diabetes who adhered to a healthy lifestyle and those did not. Differences in metabolites, especial fatty acids, could partially explain the association between adherence to multiple healthy lifestyle and lower CVD risk among people with diabetes.
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Affiliation(s)
- Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety (Huazhong University of Science and Technology), Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junxiang Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety (Huazhong University of Science and Technology), Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhouzheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Geng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liegang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety (Huazhong University of Science and Technology), Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety (Huazhong University of Science and Technology), Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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8
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Tesorio T, Mone P, de Donato A, Trimarco V, Santulli G. Linking lifestyle factors to cardiovascular risk through metabolomics: Insights from a large population of diabetic patients followed-up for 11 years. Atherosclerosis 2023; 367:37-39. [PMID: 36725416 PMCID: PMC9957959 DOI: 10.1016/j.atherosclerosis.2023.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Affiliation(s)
- Tullio Tesorio
- Casa di Cura "Montevergine", Mercogliano (Avellino), Italy
| | - Pasquale Mone
- Department of Medicine - Wilf Family Cardiovascular Research Center, Institute for Aging Research, Fleischer Institute for Diabetes and Metabolism (FIDAM), Institute for Neuroimmunology and Inflammation (INI), Albert Einstein College of Medicine, New York City, NY, USA; University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | | | - Gaetano Santulli
- Department of Medicine - Wilf Family Cardiovascular Research Center, Institute for Aging Research, Fleischer Institute for Diabetes and Metabolism (FIDAM), Institute for Neuroimmunology and Inflammation (INI), Albert Einstein College of Medicine, New York City, NY, USA; "Federico II" University, Naples, Italy; Department of Molecular Pharmacology - Einstein/Sinai Diabetes Research Center (ES-DRC), Albert Einstein College of Medicine, New York City, NY, USA.
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9
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Nik-Nasir NM, Md-Yasin M, Ariffin F, Mat-Nasir N, Miskan M, Abu-Bakar N, Yusoff K. Physical Activity in Malaysia: Are We Doing Enough? Findings from the REDISCOVER Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16888. [PMID: 36554769 PMCID: PMC9779816 DOI: 10.3390/ijerph192416888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 12/10/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
Physical activity (PA) in the form of structured or unstructured exercise is beneficial for health. This paper aims to study PA levels across four domains according to the International Physical Activity Questionnaire (IPAQ) and its associated factors. A total of 7479 Malaysian adult participants between 18 to 90 years old from the REDISCOVER study who completed the IPAQ were analyzed. PA was calculated as MET-min per week and were categorized according to insufficiently active, sufficiently active and very active. Multinomial regression was used to determine the association between sociodemographic, clinical factors and the level of PA. The mean age of the participants was 51.68 (±9.5 SD). The total reported physical activity in median (IQR) was 1584.0 (0-5637.3) MET-min per week. The highest total for PA was in the domestic domain which is 490 (0-2400) MET-min per week. Factors associated with sufficiently active or very active PA include Malay ethnicity, no formal education, elementary occupation, current smokers and high HDL. Whereas low income, male and normal BMI are less likely to participate in sufficiently active or very active PA. Intervention to encourage higher PA levels in all domains is important to achieve recommended PA targets.
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Affiliation(s)
- Nik Munirah Nik-Nasir
- Primary Care Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh 47000, Malaysia
| | - Mazapuspavina Md-Yasin
- Primary Care Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh 47000, Malaysia
| | - Farnaza Ariffin
- Primary Care Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh 47000, Malaysia
| | - Nafiza Mat-Nasir
- Primary Care Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh 47000, Malaysia
| | - Maizatullifah Miskan
- Primary Care Medicine Unit, Faculty of Medicine and Defence Health, National Defence University of Malaysia, Kuala Lumpur 57000, Malaysia
| | - Najmin Abu-Bakar
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh 47000, Malaysia
| | - Khalid Yusoff
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh 47000, Malaysia
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10
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Accelerometer-Based Sedentary Time, Physical Activity, and Serum Metabolome in Young Men. Metabolites 2022; 12:metabo12080700. [PMID: 36005572 PMCID: PMC9414649 DOI: 10.3390/metabo12080700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/07/2022] [Accepted: 07/21/2022] [Indexed: 12/10/2022] Open
Abstract
Physical activity (PA) has been shown to associate with many health benefits but studies with metabolome-wide associations with PA are still lacking. Metabolome studies may deepen the mechanistic understanding of PA on the metabolic pathways related to health outcomes. The aim of the present study was to study the association of accelerometer based sedentary time (SB) and PA with metabolome measures. SB and PA were measured by a hip-worn accelerometer in 314 young adult men (age: mean 28, standard deviation 7 years). Metabolome was analyzed from fasting serum samples consisting of 66 metabolome measures (nuclear magnetic resonance-based metabolomics). The associations were analyzed using a single and compositional approach with regression analysis. The compositional analysis revealed that 4 metabolome variables were significantly (γ: 0.32−0.44, p ≤ 0.002), and 13 variables with a trend towards significance (p < 0.05), associated with SB with varying metabolic pathways. Trends towards significant associations (p < 0.05) were observed with 5 variables with moderate-to-vigorous and 1 variable with light intensity PA with varying metabolic pathways. The present study revealed possible mechanistic pathways relevant for the interaction between especially SB but also PA of moderate-to-vigorous intensity with ketone bodies and amino acid concentration related to exercised-induced energy production and lipid metabolism.
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11
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Ao L, Zhou J, Han M, Li H, Li Y, Pan Y, Chen J, Xie X, Jiang Y, Wei J, Chen G, Li S, Guo Y, Hong F, Li Z, Xiao X, Zhao X. The joint effects of physical activity and air pollution on type 2 diabetes in older adults. BMC Geriatr 2022; 22:472. [PMID: 35650529 PMCID: PMC9158242 DOI: 10.1186/s12877-022-03139-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 05/12/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Older adults with type 2 diabetes are at higher risk of developing common geriatric syndromes and have a lower quality of life. To prevent type 2 diabetes in older adults, it's unclear whether the health benefits of physical activity (PA) will be influenced by the harms caused by increased exposure to air pollution during PA, especially in developing countries with severe air pollution problem. We aimed to investigate the joint effects of PA and long-term exposure to air pollution on the type 2 diabetes in older adults from China. METHODS This cross-sectional study was based on the China Multi-Ethnic cohort (CMEC) study. The metabolic equivalent of PA was calculated according to the PA scale during the CMEC baseline survey. High resolution air pollution datasets (PM10, PM2.5 and PM1) were collected from open products. The joint effects were assessed by the marginal structural mean model with generalized propensity score. RESULTS A total of 36,562 participants aged 50 to 79 years were included in the study. The prevalence of type 2 diabetes was 10.88%. The mean (SD) level of PA was 24.93 (18.60) MET-h/d, and the mean (SD) level of PM10, PM2.5, and PM1 were 70.00 (23.32) µg/m3, 40.45 (15.66) µg/m3 and 27.62 (6.51) µg/m3, respectively. With PM10 < 92 µg/m3, PM2.5 < 61 µg/m3, and PM1 < 36 µg/m3, the benefit effects of PA on type 2 diabetes was significantly greater than the harms due to PMs when PA levels were roughly below 80 MET-h/d. With PM10 ≥ 92 µg/m3, PM2.5 ≥ 61 µg/m3, and PM1 ≥ 36 µg/m3, the odds ratio (OR) first decreased and then rose rapidly with confidence intervals progressively greater than 1 and break-even points close to or even below 40 MET-h/d. CONCLUSIONS Our findings implied that for the prevention of type 2 diabetes in older adults, the PA health benefits outweighed the harms of air pollution except in extreme air pollution situations, and suggested that when the air quality of residence is severe, the PA levels should ideally not exceed 40 MET-h/d.
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Affiliation(s)
- Linjun Ao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Junmin Zhou
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Mingming Han
- grid.507966.bChengdu Center for Disease Control and Prevention, Sichuan, China
| | - Hong Li
- grid.508395.20000 0004 9404 8936Yunnan Center for Disease Control and Prevention, Yunnan, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention CN, Tibet, China
| | - Yongyue Pan
- grid.440680.e0000 0004 1808 3254Tibet University, Tibet, China
| | - Jiayi Chen
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Xiaofen Xie
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Ye Jiang
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Jing Wei
- grid.164295.d0000 0001 0941 7177Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD USA
| | - Gongbo Chen
- grid.12981.330000 0001 2360 039XGuangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong China
| | - Shanshan Li
- grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Feng Hong
- grid.413458.f0000 0000 9330 9891School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Zhifeng Li
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Xiong Xiao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Xing Zhao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
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12
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Changes in Fat Oxidation and Body Composition after Combined Exercise Intervention in Sedentary Obese Chinese Adults. J Clin Med 2022; 11:jcm11041086. [PMID: 35207356 PMCID: PMC8879656 DOI: 10.3390/jcm11041086] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/31/2022] [Accepted: 02/14/2022] [Indexed: 12/04/2022] Open
Abstract
(1) Background: Evidence suggests that aerobic exercise and high-intensity interval training (HIIT) might increase fat oxidation and reduce fat. However, limited research has examined the effects of combining progressive aerobic exercise and HIIT interventions in sedentary adults with overweight and obesity, and differences in its effects between men and women remain unclear. The purpose of this study was to investigate the effects of combined progressive aerobic exercise and HIIT (CAEH) on fat oxidation and fat reduction in sedentary Chinese adults and compare sex differences in sedentary adults after seven weeks. (2) Methods: Eighty-four sedentary obese adults were enrolled and allocated to two groups in baseline (experimental (EXP) group:42; control (CON) group:42), and fifty-six subjects (EXP:31; CON:25) completed the experiments and were included in the final analysis. Subjects in the EXP group performed CAEH three times per week for seven weeks. Subjects in the CON group were advised to continue with their normal daily activities. Anthropometric, lipid profile, cardiorespiratory fitness, and fat oxidation outcomes were assessed before and after the intervention. (3) Results: After seven weeks of the CAEH intervention, compared with the CON group, the EXP group showed significant increases in fat oxidation at rest (FO_rest) (+0.03 g/min, p < 0.01), maximal fat oxidation (MFO) (+0.05 g/min, p < 0.01), and maximal oxygen intake (VO2max) (+3.2 mL/kg/min, p < 0.01). The changes in the percentages of the FO_rest (+57%) and the VO2max (+16%) were significantly greater (+20%, +6%) in males than in females (p < 0.05, p < 0.05). The body mass index (BMI) (−1.2 kg/m2, p < 0.01), body fat percentage (−3.2%, p < 0.001), visceral fat area (−12.8 cm2, p < 0.001), and total cholesterol (TC) levels (−0.4 mmol/L, p < 0.05) were significantly decreased in the EXP group. (4) Conclusions: Seven weeks of the CAEH intervention effectively improved FO_rest, MFO, and VO2max in sedentary obese adults, and the improvements in FO_rest and VO2max were more pronounced in males than in females. CAEH also improved body composition and TC levels in sedentary obese adults.
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13
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Delgado-Velandia M, Gonzalez-Marrachelli V, Domingo-Relloso A, Galvez-Fernandez M, Grau-Perez M, Olmedo P, Galan I, Rodriguez-Artalejo F, Amigo N, Briongos-Figuero L, Redon J, Martin-Escudero JC, Monleon-Salvado D, Tellez-Plaza M, Sotos-Prieto M. Healthy lifestyle, metabolomics and incident type 2 diabetes in a population-based cohort from Spain. Int J Behav Nutr Phys Act 2022; 19:8. [PMID: 35086546 PMCID: PMC8793258 DOI: 10.1186/s12966-021-01219-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 10/20/2021] [Indexed: 12/11/2022] Open
Abstract
Background The contribution of metabolomic factors to the association of healthy lifestyle with type 2 diabetes risk is unknown. We assessed the association of a composite measure of lifestyle with plasma metabolite profiles and incident type 2 diabetes, and whether relevant metabolites can explain the prospective association between healthy lifestyle and incident type 2 diabetes. Methods A Healthy Lifestyle Score (HLS) (5-point scale including diet, physical activity, smoking status, alcohol consumption and BMI) was estimated in 1016 Hortega Study participants, who had targeted plasma metabolomic determinations at baseline examination in 2001–2003, and were followed-up to 2015 to ascertain incident type 2 diabetes. Results The HLS was cross-sectionally associated with 32 (out of 49) plasma metabolites (2.5% false discovery rate). In the subset of 830 participants without prevalent type 2 diabetes, the rate ratio (RR) and rate difference (RD) of incident type 2 diabetes (n cases = 51) per one-point increase in HLS was, respectively, 0.69 (95% CI, 0.51, 0.93), and − 8.23 (95% CI, − 16.34, − 0.13)/10,000 person-years. In single-metabolite models, most of the HLS-related metabolites were prospectively associated with incident type 2 diabetes. In probit Bayesian Kernel Machine Regression, these prospective associations were mostly driven by medium HDL particle concentration and phenylpropionate, followed by small LDL particle concentration, which jointly accounted for ~ 50% of the HLS-related decrease in incident type 2 diabetes. Conclusions The HLS showed a strong inverse association with incident type 2 diabetes, which was largely explained by plasma metabolites measured years before the clinical diagnosis. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-021-01219-3.
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Affiliation(s)
- Mario Delgado-Velandia
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain
| | - Vannina Gonzalez-Marrachelli
- Department of Physiology, School of Medicine, University of Valencia, Valencia, Spain.,Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain
| | - Arce Domingo-Relloso
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain.,Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.,Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Marta Galvez-Fernandez
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain
| | - Maria Grau-Perez
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain.,Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Pablo Olmedo
- Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain.,Department of Legal Medicine and Toxicology. School of Medicine, University of Granada, Granada, Spain
| | - Iñaki Galan
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Monforte de Lemos, 5, 28029, Madrid, Spain
| | - Fernando Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain.,IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain
| | - Nuria Amigo
- Biosfer Teslab, Av. Universitat, 1 43204, Reus, Spain.,Department of Basic Medical Sciences, University Rovira I Virgili, Reus, Spain.,CIBERDEM (CIBER of Diabetes and Metabolic Diseases), Madrid, Spain
| | | | - Josep Redon
- Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain
| | | | - Daniel Monleon-Salvado
- Department of Physiology, School of Medicine, University of Valencia, Valencia, Spain. .,Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain. .,CIBERFES (CIBER of Frailty and Healthy Aging), Madrid, Spain. .,Department of Pathology, University of Valencia, Av. Blasco Ibañez, 15, 46010, Valencia, Spain.
| | - Maria Tellez-Plaza
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain. .,Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain. .,Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain. .,Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Monforte de Lemos, 5, 28029, Madrid, Spain.
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain.,IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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14
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Lim RMH, Koh AS. Cardiovascular Aging and Physical Activity: Insights From Metabolomics. Front Cardiovasc Med 2021; 8:728228. [PMID: 34616784 PMCID: PMC8488139 DOI: 10.3389/fcvm.2021.728228] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 08/26/2021] [Indexed: 12/22/2022] Open
Abstract
The purpose of this review is to explore how metabolomics can help uncover mechanisms through which physical activity may influence the progression of cardiovascular aging. Cardiovascular aging is a process of functional and structural changes in older adults which can progress to cardiovascular disease. Metabolomics profiling is an investigative tool that can track the diverse changes which occur in human biochemistry with physical activity and aging. This mini review will summarize published investigations in metabolomics and physical activity, with a specific focus on the metabolic pathways that connect physical activity with cardiovascular aging.
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Affiliation(s)
| | - Angela S Koh
- National Heart Centre Singapore, Singapore, Singapore.,Duke-National University of Singapore Medical School, Singapore, Singapore
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15
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de Kluiver H, Jansen R, Milaneschi Y, Bot M, Giltay EJ, Schoevers R, Penninx BW. Metabolomic profiles discriminating anxiety from depression. Acta Psychiatr Scand 2021; 144:178-193. [PMID: 33914921 PMCID: PMC8361773 DOI: 10.1111/acps.13310] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 04/23/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Depression has been associated with metabolomic alterations. Depressive and anxiety disorders are often comorbid diagnoses and are suggested to share etiology. We investigated whether differential metabolomic alterations are present between anxiety and depressive disorders and which clinical characteristics of these disorders are related to metabolomic alterations. METHODS Data were from the Netherlands Study of Depression and Anxiety (NESDA), including individuals with current comorbid anxiety and depressive disorders (N = 531), only a current depression (N = 304), only a current anxiety disorder (N = 548), remitted depressive and/or anxiety disorders (N = 897), and healthy controls (N = 634). Forty metabolites from a proton nuclear magnetic resonance lipid-based metabolomics panel were analyzed. First, we examined differences in metabolites between disorder groups and healthy controls. Next, we assessed whether depression or anxiety clinical characteristics (severity and symptom duration) were associated with metabolites. RESULTS As compared to healthy controls, seven metabolomic alterations were found in the group with only depression, reflecting an inflammatory (glycoprotein acetyls; Cohen's d = 0.12, p = 0.002) and atherogenic-lipoprotein-related (e.g., apolipoprotein B: Cohen's d = 0.08, p = 0.03, and VLDL cholesterol: Cohen's d = 0.08, p = 0.04) profile. The comorbid group showed an attenuated but similar pattern of deviations. No metabolomic alterations were found in the group with only anxiety disorders. The majority of metabolites associated with depression diagnosis were also associated with depression severity; no associations were found with anxiety severity or disease duration. CONCLUSION While substantial clinical overlap exists between depressive and anxiety disorders, this study suggests that altered inflammatory and atherogenic-lipoprotein-related metabolomic profiles are uniquely associated with depression rather than anxiety disorders.
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Affiliation(s)
- Hilde de Kluiver
- Department of PsychiatryAmsterdam UMCVrije Universiteit AmsterdamDepartment of Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Rick Jansen
- Department of PsychiatryAmsterdam UMCVrije Universiteit AmsterdamDepartment of Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Yuri Milaneschi
- Department of PsychiatryAmsterdam UMCVrije Universiteit AmsterdamDepartment of Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Mariska Bot
- Department of PsychiatryAmsterdam UMCVrije Universiteit AmsterdamDepartment of Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Erik J. Giltay
- Department of PsychiatryLeiden University Medical CenterLeidenthe Netherlands
| | - Robert Schoevers
- Department of PsychiatryUniversity Medical Center GroningenUniversity of GroningenGroningenthe Netherlands,Research School of Behavioral and Cognitive NeurosciencesUniversity of GroningenGroningenthe Netherlands
| | - Brenda W.J.H. Penninx
- Department of PsychiatryAmsterdam UMCVrije Universiteit AmsterdamDepartment of Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamthe Netherlands
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16
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Tian Q, Corkum AE, Moaddel R, Ferrucci L. Metabolomic profiles of being physically active and less sedentary: a critical review. Metabolomics 2021; 17:68. [PMID: 34245373 DOI: 10.1007/s11306-021-01818-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 07/01/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Being physically active has multiple salutary effects on human health, likely mediated by changes in energy metabolism. Recent reviews have summarized metabolomic responses to acute exercise. However, metabolomic profiles of individuals who exercise regularly are heterogeneous. AIM OF REVIEW We conducted a systematic review to identify metabolites associated with physical activity (PA), fitness, and sedentary time in community-dwelling adults and discussed involved pathways. Twenty-two studies were eligible because they (1) focused on community-dwelling adults from observational studies; (2) assessed PA, fitness, and/or sedentary time, (3) assessed metabolomics in biofluid, and (4) reported on relationships of metabolomics with PA, fitness, and/or sedentary time. KEY SCIENTIFIC CONCEPTS OF REVIEW Several metabolic pathways were associated with higher PA and fitness and less sedentary time, including tricarboxylic acid cycle, glycolysis, aminoacyl-tRNA biosynthesis, urea cycle, arginine biosynthesis, branch-chain amino acids, and estrogen metabolism. Lipids were strongly associated with PA. Cholesterol low-density lipoproteins and triglycerides were lower with higher PA, while cholesterol high-density lipoproteins were higher. Metabolomic profiles of being physically active and less sedentary indicate active skeletal muscle biosynthesis supported by enhanced oxidative phosphorylation and glycolysis and associated with profound changes in lipid and estrogen metabolism. Future longitudinal studies are needed to understand whether these metabolomic changes account for health benefits associated with PA.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute On Aging, Baltimore, MD, USA.
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute On Aging, 251 Bayview Blvd., Suite 100, Rm 04B316, Baltimore, MD, 21224, USA.
| | - Abigail E Corkum
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute On Aging, Baltimore, MD, USA
- School of Population Health, Thomas Jefferson University, Philadelphia, PA, USA
| | - Ruin Moaddel
- Laboratory of Clinical Investigation, National Institute On Aging, Baltimore, MD, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute On Aging, Baltimore, MD, USA
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17
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Mohd Saat NZ, Hanawi SA, M. F. Farah N, Mohd Amin H, Hanafiah H, Shamsulkamar NS. Relationship between Physical Activity and Cardiovascular Risk Factors: A Cross-Sectional Study among Low-Income Housewives in Kuala Lumpur. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18116090. [PMID: 34200066 PMCID: PMC8200207 DOI: 10.3390/ijerph18116090] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 01/17/2023]
Abstract
Cardiovascular disease is a significant public health concern worldwide, including in Malaysia. Various attempts have been made to resolve this issue. One of the most important methods of controlling cardiovascular risk factors is physical exercise. However, today’s women, especially housewives, are often identified by a lack of physical activity. This is alarming to society, as cardiovascular disease can affect the quality of their life. The aim of this study is to determine the relationship between physical activity and cardiovascular risk factors among low-income housewives in Kuala Lumpur. A total of 63 housewives participated in this cross-sectional study. All participating housewives were asked to fill out a sociodemographic questionnaire and the short version of the International Physical Activity Questionnaire (IPAQ). To evaluate cardiovascular risk factors, anthropometric measurements and blood samples were taken. Findings showed that an average of 70.5 ± 232.4 min/week was spent on moderate-to-vigorous physical activity (MVPA), which indicated a low level of physical activity. Data showed that 90.5% of the subjects had low physical activity, 6.3% were moderate, and 3.2% were considered as having a high level of physical activity. For body mass index (BMI), 58.7% of the respondents were obese, 28.6% were overweight (29.10 ± 5.67 kg m–2), and 81.0% of subjects had a waist circumference (WC) value above the normal range (92.74 ± 16.40 cm). A two-way ANOVA test revealed significant mean differences between systolic blood pressure (mm/Hg) and age groups (p > 0.05). Nevertheless, there was a significant association between MVPA and cardiovascular risk factors using negative binomial regression (p < 0.01). The findings of this study highlight the need for health promotional programs to raise awareness, educate, and engage low-income housewives in lifestyle-enhancing behaviors.
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Affiliation(s)
- Nur Zakiah Mohd Saat
- Biomedical Science Programme, Centre of Community Health (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia;
- Correspondence: ; Tel.: +60-39-289-7606
| | - Siti Aishah Hanawi
- SOFTAM, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia; (S.A.H.); (H.M.A.)
| | - Nor M. F. Farah
- Occupational Therapy Programme, Centre of Community Health (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia;
| | - Hazilah Mohd Amin
- SOFTAM, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia; (S.A.H.); (H.M.A.)
| | - Hazlenah Hanafiah
- Faculty of Computer and Mathematical Science, Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus, Sabah 88997, Malaysia;
| | - Nur Shazana Shamsulkamar
- Biomedical Science Programme, Centre of Community Health (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia;
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18
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Koh AS, Kovalik JP. Metabolomics and cardiovascular imaging: a combined approach for cardiovascular ageing. ESC Heart Fail 2021; 8:1738-1750. [PMID: 33783981 PMCID: PMC8120371 DOI: 10.1002/ehf2.13274] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 01/14/2021] [Accepted: 02/11/2021] [Indexed: 12/18/2022] Open
Abstract
The purpose of this review is to explore how metabolomics can help uncover new biomarkers and mechanisms for cardiovascular ageing. Cardiovascular ageing refers to cardiovascular structural and functional alterations that occur with chronological ageing and that can lead to the development of cardiovascular disease. These alterations, which were previously only detectable on tissue histology or corroborated on blood samples, are now detectable with modern imaging techniques. Despite the emergence of powerful new imaging tools, clinical investigation into cardiovascular ageing is challenging because ageing is a life course phenomenon involving known and unknown risk factors that play out in a dynamic fashion. Metabolomic profiling measures large numbers of metabolites with diverse chemical properties. Metabolomics has the potential to capture changes in biochemistry brought about by pathophysiologic processes as well as by normal ageing. When combined with non-invasive cardiovascular imaging tools, metabolomics can be used to understand pathological consequences of cardiovascular ageing. This review will summarize previous metabolomics and imaging studies in cardiovascular ageing. These methods may be a clinically relevant and novel approach to identify mechanisms of cardiovascular ageing and formulate or personalize treatment strategies.
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Affiliation(s)
- Angela S Koh
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Jean-Paul Kovalik
- Duke-NUS Medical School, Singapore, Singapore.,Singapore General Hospital, Singapore, Singapore
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19
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Jugan J, Lind PM, Salihovic S, Stubleski J, Kärrman A, Lind L, La Merrill MA. The associations between p,p'-DDE levels and plasma levels of lipoproteins and their subclasses in an elderly population determined by analysis of lipoprotein content. Lipids Health Dis 2020; 19:249. [PMID: 33287856 PMCID: PMC7722417 DOI: 10.1186/s12944-020-01417-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 11/09/2020] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Lipoproteins at aberrant levels are known to play a role in cardiovascular disease. The metabolite of the insecticide dichlorodiphenyltrichloroethane (DDT), p,p'-dichlorodiphenyldichloroethylene (p,p'-DDE), physically associates with lipids and accumulates in adipose tissue. Little is known about which lipoproteins associate with p,p'-DDE. An association between p,p'-DDE exposure and altered levels of circulating lipids was assessed in a large human cohort using a detailed analysis of lipoprotein content. METHODS Plasma samples were collected from the subset of 75-year old Swedes in the Prospective Investigation of the Vasculature of Uppsala Seniors (PIVUS) cohort who were not prescribed lipid lowering medication (n = 571). p,p'-DDE concentrations in plasma were measured using high-throughput solid phase extraction and gas chromatography-high resolution mass spectrometry. Analysis of plasma lipoprotein content was performed with nuclear magnetic resonance spectroscopy. RESULTS Detectable levels of p,p'-DDE were found in the plasma samples of all subjects. Elevated p,p'-DDE levels were associated with increased concentrations of lipoproteins of all diameters, with the exception of high density lipoprotein (HDL) of diameters between 14.3 nm-10.9 nm. Of the lipoprotein constituents, triglycerides were most uniformly associated with elevated p,p'-DDE across lipoproteins. p,p'-DDE was furthermore associated with apolipoprotein B, but not apolipoprotein A1. CONCLUSIONS The positive associations observed between each lipoprotein class and elevated p,p'-DDE support previous data suggesting that p,p'-DDE interacts with lipoproteins within plasma. It is speculated that both physio-chemical and biological mechanisms may explain why p,p'-DDE does not uniformly associate with lipids across lipoproteins.
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Affiliation(s)
- Juliann Jugan
- Department of Environmental Toxicology, University of California, One Shields Avenue, Davis, CA, 95616, USA
| | - P Monica Lind
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden
| | - Samira Salihovic
- School of Medical Sciences, Inflammatory Response and Infection Susceptibility Centre, Örebro University, Örebro, Sweden.,MTM Research Centre, School of Science and Technology, Örebro University, Örebro, Sweden
| | | | - Anna Kärrman
- MTM Research Centre, School of Science and Technology, Örebro University, Örebro, Sweden
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Michele A La Merrill
- Department of Environmental Toxicology, University of California, One Shields Avenue, Davis, CA, 95616, USA.
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20
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Risk factors for cardiovascular disease in the Chinese population: recent progress and implications. GLOBAL HEALTH JOURNAL 2020. [DOI: 10.1016/j.glohj.2020.08.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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21
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Shi R, Cai Y, Qin R, Yan Y, Yu D. Dose-response association between physical activity and clustering of modifiable cardiovascular risk factors among 26,093 Chinese adults. BMC Cardiovasc Disord 2020; 20:347. [PMID: 32711476 PMCID: PMC7382860 DOI: 10.1186/s12872-020-01627-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 07/17/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is uncertain evidence in the dose-response association between overall physical activity levels and clustering of cardiovascular diseases modifiable risk factors (CVDMRF) in Chinese adults. This study examined the hypothesis whether inverse dose-response association between overall physical activity levels and clustering of CVDMRF in Chinese adults exist. METHODS Twenty-six thousand ninety-three Chinese adult participants were recruited by two independent surveys in Nanjing and Hefei during 2011 to 2013, from random selected households provided smoking, glucose, lipids, anthropometric, and blood pressure measurements. Logistic regression model was applied to examine the dose-response association between overall physical activity (measured by metabolic equivalent task (MET)- minutes per week) and having ≥1, ≥2, and ≥ 3 CVDMRF (dyslipidemia, hypertension, diabetes, cigarette smoking, and overweight). RESULTS An inverse linear dose-response relationship between physical activity and clustering of CVDMRF was identified, as increased physical activity levels are associated with lower odds of having clustering of CVDMRF. The adjusted odds ratio (95% confidence interval) of having ≥1, ≥2, and ≥ 3 CVRF for moderate physical activity group and high physical activity group was 0.88 (0.79 to 0.98) and 0.88 (0.79 to 0.99), 0.85 (0.78 to 0.92) and 0.85 (0.78 to 0.92), 0.84 (0.76 to 0.91) and 0.81 (0.74 to 0.89), respectively, with low physical activity as reference group. CONCLUSIONS Among Chinese adults, physical activity level inversely associates with clustering of CVDMRF, especially in those aged 35-54 years. Health promotion including improve physical activity should be advocated. The potential role of physical activity in the clustering of CVDMRF warrants further validation.
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Affiliation(s)
- Rui Shi
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 713300, China
| | - Yamei Cai
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, 210028, China
| | - Rui Qin
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, 210028, China
| | - Yang Yan
- Department of Cardiovascular surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 713300, China.
| | - Dahai Yu
- Primary Care Centre Versus Arthritis, School of Primary, Community and Social Care, Keele University, Keele, ST5 5BG, UK
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