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Perry AS, Zhang K, Murthy VL, Choi B, Zhao S, Gajjar P, Colangelo LA, Hou L, Rice MB, Carr JJ, Carson AP, Nigra AE, Vasan RS, Gerszten RE, Khan SS, Kalhan R, Nayor M, Shah RV. Proteomics, Human Environmental Exposure, and Cardiometabolic Risk. Circ Res 2024; 135:138-154. [PMID: 38662804 PMCID: PMC11189739 DOI: 10.1161/circresaha.124.324559] [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: 03/05/2024] [Accepted: 04/24/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND The biological mechanisms linking environmental exposures with cardiovascular disease pathobiology are incompletely understood. We sought to identify circulating proteomic signatures of environmental exposures and examine their associations with cardiometabolic and respiratory disease in observational cohort studies. METHODS We tested the relations of >6500 circulating proteins with 29 environmental exposures across the built environment, green space, air pollution, temperature, and social vulnerability indicators in ≈3000 participants of the CARDIA study (Coronary Artery Risk Development in Young Adults) across 4 centers using penalized and ordinary linear regression. In >3500 participants from FHS (Framingham Heart Study) and JHS (Jackson Heart Study), we evaluated the prospective relations of proteomic signatures of the envirome with cardiovascular disease and mortality using Cox models. RESULTS Proteomic signatures of the envirome identified novel/established cardiovascular disease-relevant pathways including DNA damage, fibrosis, inflammation, and mitochondrial function. The proteomic signatures of the envirome were broadly related to cardiometabolic disease and respiratory phenotypes (eg, body mass index, lipids, and left ventricular mass) in CARDIA, with replication in FHS/JHS. A proteomic signature of social vulnerability was associated with a composite of cardiovascular disease/mortality (1428 events; FHS: hazard ratio, 1.16 [95% CI, 1.08-1.24]; P=1.77×10-5; JHS: hazard ratio, 1.25 [95% CI, 1.14-1.38]; P=6.38×10-6; hazard ratio expressed as per 1 SD increase in proteomic signature), robust to adjustment for known clinical risk factors. CONCLUSIONS Environmental exposures are related to an inflammatory-metabolic proteome, which identifies individuals with cardiometabolic disease and respiratory phenotypes and outcomes. Future work examining the dynamic impact of the environment on human cardiometabolic health is warranted.
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Affiliation(s)
- Andrew S Perry
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN (A.S.P., S.Z., J.J.C., R.V.S.)
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, (K.Z.)
| | | | - Bina Choi
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA (B.C.)
| | - Shilin Zhao
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN (A.S.P., S.Z., J.J.C., R.V.S.)
| | - Priya Gajjar
- Cardiovascular Medicine Section, Department of Medicine (P.G.), Boston University School of Medicine, MA
| | - Laura A Colangelo
- Department of Preventive Medicine (L.A.C., L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Lifang Hou
- Department of Preventive Medicine (L.A.C., L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Mary B Rice
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (M.B.R.)
| | - J Jeffrey Carr
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN (A.S.P., S.Z., J.J.C., R.V.S.)
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson (A.P.C.)
| | - Anne E Nigra
- Department of Environmental Health Science, Columbia University Mailman School of Public Health, New York, NY (A.E.N.)
| | - Ramachandran S Vasan
- School of Public Health, School of Medicine, University of Texas San Antonio (R.S.V.)
| | - Robert E Gerszten
- Broad Institute of Harvard and MIT, Cambridge, MA (R.E.G.)
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (R.E.G.)
| | - Sadiya S Khan
- Division of Cardiology, Department of Medicine (S.S.K.), Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Department of Medicine (R.K.), Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Matthew Nayor
- Sections of Cardiovascular Medicine and Preventive Medicine and Epidemiology, Department of Medicine (M.N.), Boston University School of Medicine, MA
| | - Ravi V Shah
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN (A.S.P., S.Z., J.J.C., R.V.S.)
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Li H, Cao Z, Li J, King L, Zhang Z, Zhao Y, Zhang S, Song Y, Zhang Q, Chen L, Tang Y, Dai L, Yao P. Associations of Combined Lifestyle Factors with MAFLD and the Specific Subtypes in Middle-Aged and Elderly Adults: The Dongfeng-Tongji Cohort Study. Nutrients 2023; 15:4588. [PMID: 37960242 PMCID: PMC10650607 DOI: 10.3390/nu15214588] [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: 09/05/2023] [Revised: 10/23/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) is the crucial pathogenesis for intra-hepatic and extra-hepatic diseases, especially in elderly adults. Lifestyle management may be a modifiable cost-effective measure for MAFLD prevention, but the evidence is limited. A total of 23,408 middle-aged and elderly individuals were included in a longitudinal study from 2008 to 2018. Combined lifestyle scores (range 0-6) were evaluated by BMI, smoking, drinking, diet, physical activity, and sleep. Logistic regression models were used to calculate ORs for the risks of MAFLD and specific subtypes. The mean age of participants was 61.7 years, and 44.5% were men. Compared with poor lifestyle (scores 0-2), ORs (95% CIs) of the ideal lifestyle (scores 5-6) were 0.62 (0.57-0.68) for MAFLD, 0.31 (0.28-0.34) for MAFLD with excess weight and obesity, 0.97 (0.75-1.26) for MAFLD with diabetes, and 0.56 (0.51-0.62) for MAFLD with metabolic dysregulation. Additionally, lifestyle improvement was associated with lower risks of MAFLD (OR, 0.76; 95% CI, 0.68-0.86), MAFLD with excess weight and obesity (OR, 0.72; 95% CI, 0.63-0.81), MAFLD with diabetes (OR, 0.74; 95% CI, 0.54-1.02) and MAFLD with metabolic dysregulation (OR, 0.49; 95% CI, 0.43-0.55), respectively. Our findings suggest that adherence to a combined healthy lifestyle was associated with lower risks of MAFLD, particularly in excess weight/obese individuals or those with metabolic dysregulation.
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Affiliation(s)
- Hongxia Li
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Zhiqiang Cao
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Jingxi Li
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Lei King
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Zhuangyu Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Ying Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Siyi Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Yajing Song
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Qian Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Yuhan Tang
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Lingling Dai
- Experimental Teaching Center of Preventive Medicine, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
| | - Ping Yao
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China; (H.L.); (Z.C.); (J.L.); (L.K.); (Z.Z.); (Y.Z.); (S.Z.); (Y.S.); (Q.Z.); (L.C.); (Y.T.)
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan 430030, China
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Henney AE, Gillespie CS, Alam U, Hydes TJ, Cuthbertson DJ. Ultra-Processed Food Intake Is Associated with Non-Alcoholic Fatty Liver Disease in Adults: A Systematic Review and Meta-Analysis. Nutrients 2023; 15:nu15102266. [PMID: 37242149 DOI: 10.3390/nu15102266] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 05/02/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is associated with overweight/obesity, metabolic syndrome and type 2 diabetes (T2D) due to chronic caloric excess and physical inactivity. Previous meta-analyses have confirmed associations between ultra-processed food (UPF) intake and obesity and T2D. We aim to ascertain the contribution of UPF consumption to the risk of developing NAFLD. We performed a systematic review and meta-analysis (PROSPERO (CRD42022368763)). All records registered on Ovid Medline and Web of Science were searched from inception until December 2022. Studies that assessed UPF consumption in adults, determined according to the NOVA food classification system, and that reported NAFLD determined by surrogate (steatosis) scores, imaging or liver biopsy were included. The association between UPF consumption and NAFLD was assessed using random-effects meta-analysis methods. Study quality was assessed, and evidence credibility evaluated, using the Newcastle Ottawa Scale and NutriGrade systems, respectively. A total of 5454 records were screened, and 112 records underwent full text review. From these, 9 studies (3 cross-sectional, 3 case-control and 3 cohort), analysing 60,961 individuals, were included in the current review. Both moderate (vs. low) (pooled relative risk 1.03 (1.00-1.07) (p = 0.04) (I2 = 0%)) and high (vs. low) (1.42 (1.16-1.75) (<0.01) (I2 = 89%)) intake of UPF significantly increased the risk of NAFLD. Funnel plots demonstrate low risk of publication bias. Consumption of UPF is associated with NAFLD with a dose-response effect. Public health measures to reduce overconsumption of UPF are imperative to reduce the burden of NAFLD, and the related conditions, obesity and T2D.
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Affiliation(s)
- Alex E Henney
- Department of Cardiovascular & Metabolic Medicine, University of Liverpool, Liverpool L3 5TR, UK
- Metabolism & Nutrition Research Group, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, UK
| | - Conor S Gillespie
- Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 1TN, UK
| | - Uazman Alam
- Department of Cardiovascular & Metabolic Medicine, University of Liverpool, Liverpool L3 5TR, UK
- Metabolism & Nutrition Research Group, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, UK
| | - Theresa J Hydes
- Department of Cardiovascular & Metabolic Medicine, University of Liverpool, Liverpool L3 5TR, UK
- Department of Gastroenterology and Hepatology, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, UK
| | - Daniel J Cuthbertson
- Department of Cardiovascular & Metabolic Medicine, University of Liverpool, Liverpool L3 5TR, UK
- Metabolism & Nutrition Research Group, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, UK
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AlTamimi JZ, AlFaris NA, Alshwaiyat NM, Alkhalidy H, AlKehayez NM, Alsemari MA, Alagal RI. Prevalence of fast-food intake among a multi-ethnic population of middle-aged men and connection with sociodemographic factors and obesity. Medicine (Baltimore) 2023; 102:e33555. [PMID: 37058044 PMCID: PMC10101309 DOI: 10.1097/md.0000000000033555] [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: 02/07/2023] [Accepted: 03/28/2023] [Indexed: 04/15/2023] Open
Abstract
Adults are increasingly eating fast-food, which is connected to adverse health outcomes such as obesity and chronic diseases. This work was carried out to study the prevalence of fast-food intake among a multi-ethnic population of middle-aged men and its connection with sociodemographic factors and obesity. This cross-sectional study enrolled 1800 middle-aged men from Riyadh, Kingdom of Saudi Arabia. A valid and reliable questionnaire was used to assess participants fast-food intake frequency. Fast-food was consumed weekly by 87.8% of participants and daily by 45.6% of participants. The nationality of participants was determined as a predictor of fast-food intake. The highest and lowest prevalence of weekly fast-food intake was reported among Turkish (99.6%) and Sudanese (48.3%) participants. The highest and lowest daily intake rates were reported among participants from the Philippines (85.9%) and Bangladesh (10.0%). Another factor predicting fast-food intake was obesity. Obese participants had a significantly higher odds ratio (OR) of weekly (OR = 5.83, P <.001) and daily (OR = 1.93, P <.001) fast-food intake than non-overweight/nonobese participants. Fast-food intake was prevalent among middle-aged men who reside in Kingdom of Saudi Arabia. Results connect fast-food intake with nationality and obesity.
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Affiliation(s)
- Jozaa Z. AlTamimi
- Department of Physical Sports Sciences, College of Education, Princess Nourah Bint Abdulrahman University Riyadh, Riyadh, Saudi Arabia
| | - Nora A. AlFaris
- Department of Physical Sports Sciences, College of Education, Princess Nourah Bint Abdulrahman University Riyadh, Riyadh, Saudi Arabia
| | - Naseem M. Alshwaiyat
- School of Nutrition and Dietetics, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
| | - Hana Alkhalidy
- Department of Nutrition and Food Technology, Faculty of Agriculture, Jordan University of Science and Technology, Irbid, Jordan
| | - Nora M. AlKehayez
- Department of Physical Sports Sciences, College of Education, Princess Nourah Bint Abdulrahman University Riyadh, Riyadh, Saudi Arabia
| | - Malak A. Alsemari
- Department of Medical Imaging – MRI, King Abdullah Bin Abdulaziz University Hospital (KAAUH), Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Reham I. Alagal
- Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
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