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Dai X, Feng S, Li T. Cold atmospheric plasma control metabolic syndromes via targeting fat mass and obesity-associated protein. Pharmacol Res 2025; 215:107720. [PMID: 40174815 DOI: 10.1016/j.phrs.2025.107720] [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: 01/20/2025] [Revised: 03/09/2025] [Accepted: 03/28/2025] [Indexed: 04/04/2025]
Abstract
Both obesity and metabolic disorders are global medical problems. Driven by prolonged inflammation, obesity increases the risk of developing metabolic syndromes such as fatty liver, diabetes, cardiovascular diseases and cancers. The fat mass and obesity-associated protein (FTO) is an m6A demethylase, elevated activity of which is known to promote the pathogenesis of many metabolic disorders, leading to the establishment of various FTO inhibitors. By combing through intrinsic connections among obesity and the four primary metabolic problems, we attribute their shared pathological cause to prolonged inflammation. By reviewing the roles of FTO in promoting these disorders and the current status of existing FTO inhibitors in treating these syndromes, we underpinned the paramount potential of resolving these clinical issues by targeting FTO and the urgent need of establishing novel FTO inhibitors with maximized efficacy and minimized side effect. Cold atmospheric plasma (CAP) is the fourth state of matter with demonstrated efficacy in treating various diseases associated with chronic inflammation. By introducing the medical characteristics of CAP, we proposed it as a possible solution to unresolved issues of current FTO inhibitors given its anti-inflammation feature and demonstrated clinical safety. We also emphasized the need of intensive investigations in exploring the feasibility of using CAP in treating obesity and associated metabolic syndromes that might function through targeting FTO.
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Affiliation(s)
- Xiaofeng Dai
- National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, Shaanxi Provincial Center for Regenerative Medicine and Surgical Engineering, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, PR China.
| | - Shuo Feng
- Department of Dermatology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, PR China
| | - Tian Li
- National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, Shaanxi Provincial Center for Regenerative Medicine and Surgical Engineering, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, PR China; Tianjin Key Laboratory of Acute Abdomen Disease-Associated Organ Injury and ITCWM Repair, Institute of Integrative Medicine of Acute Abdominal Diseases, Tianjin Nankai Hospital, Tianjin Medical University, 8 Changjiang Avenue, Tianjin 300100, China.
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Murden RJ, Fields ND, Martin ZT, Risk BB, Alonso A, Manatunga A, Erving CL, Moore R, Udaipuria S, Quyyumi A, Vaccarino V, Lewis TT. Associations between obesity class and ambulatory blood pressure curves in African American women. Obesity (Silver Spring) 2025; 33:589-598. [PMID: 39973071 PMCID: PMC11897855 DOI: 10.1002/oby.24230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 11/07/2024] [Accepted: 11/27/2024] [Indexed: 02/21/2025]
Abstract
OBJECTIVE Studies of body size and blood pressure (BP) in African American women typically focus on obesity overall or collapse obesity classes II and III into a single subgroup, ignoring potential heterogeneity in associations across categories. Moreover, ambulatory BP outcomes are primarily analyzed as mean daytime and/or nighttime BP, without examination of circadian changes during the day-to-night transition or the full 24-h cycle. METHODS Functional data analysis methods were used to examine whether obesity categories modified ambulatory monitoring-assessed BP circadian rhythm in a cohort of 407 African American women. RESULTS Age-adjusted systolic BP (SBP) was 4 mm Hg (95% CI: 0.4-8.4) higher among women with class I or II obesity than those with normal weight or overweight from 12:30 p.m. through 8:00 a.m. Age-adjusted differences in SBP among women with class III obesity versus those with normal weight or overweight were 6 mm Hg (95% CI: 0.7-10.8) during daytime hours and increased to 11 mm Hg (95% CI: 5.8-16.0) overnight. Compared with all other BMI categories, SBP of women with class III obesity declined more slowly from day to night. CONCLUSIONS Circadian BP among African American women was distinct among those with class III obesity compared with those with other body weight categories, suggesting that intervention efforts in African American women should target this group.
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Affiliation(s)
- Raphiel J. Murden
- Department of Biostatistics and BioinformaticsRollins School of Public Health, Emory UniversityAtlantaGeorgiaUSA
| | - Nicole D. Fields
- Department of Preventive Medicine, Feinberg School of MedicineNorthwestern UniversityChicagoIllinoisUSA
| | - Zachary T. Martin
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
| | - Benjamin B. Risk
- Department of Biostatistics and BioinformaticsRollins School of Public Health, Emory UniversityAtlantaGeorgiaUSA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
| | - Amita Manatunga
- Department of Biostatistics and BioinformaticsRollins School of Public Health, Emory UniversityAtlantaGeorgiaUSA
| | - Christy L. Erving
- Department of Sociology, Population Research CenterUniversity of TexasAustinTexasUSA
| | - Reneé Moore
- Department of Epidemiology and BiostatisticsDornsife School of Public Health, Drexel UniversityPhiladelphiaPennsylvaniaUSA
| | - Shivika Udaipuria
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
| | - Arshed Quyyumi
- Department of Medicine, School of MedicineEmory UniversityAtlantaGeorgiaUSA
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
| | - Tené T. Lewis
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
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Xu P, Zhu Z, Zhou R, Wei Y, Xu F, Shen L, Wang Z, Xue Y, Yu X, Zhao J, Yan J, Jin Y, Fang P, Shang W. Huanglian-Jiedu decoction promotes adipose thermogenesis in obese mice by suppressing the expression of HDAC3. JOURNAL OF ETHNOPHARMACOLOGY 2025; 336:118760. [PMID: 39216772 DOI: 10.1016/j.jep.2024.118760] [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: 05/13/2024] [Revised: 08/06/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Huanglian Jiedu Decoction (HLJDD) is an ancient formula of traditional Chinese medicine that is commonly utilized in a range of disorders, and it has been shown to have pharmacological effects on glucose and lipid metabolism. However, the specific mechanism of HLJDD for the treatment of obesity and related metabolic disorders remains to be further investigated. AIM OF THE STUDY It has been thought that encouraging adipose thermogenesis to raise the body's energy expenditure is a useful tactic for improving metabolic abnormalities and losing weight. In this study, we investigated the ability and underlying mechanisms of HLJDD to regulate fat cell thermogenesis to improve energy expenditure in obesity. METHODS The obese mouse model was established on a high-fat diet for 12 weeks. All mice were divided into NC, HFD, HFD with HLJDD of a low dose (2.25 g/kg/d), and HFD with HLJDD of a high dose (4.5 g/kg/d) groups and kept for 4 weeks. In vitro experiments were conducted to evaluate the effects of 5% and 10% HLJDD-containing serum on differentiated 3T3-L1 cells and HDAC3-knocking-down 3T3-L1 cells. RESULTS The results showed that HLJDD treatment significantly improved glucose and insulin tolerance and decreased the adipocyte radius of WATs, as well as increased energy consumption in obese mice. Besides, HLJDD treatment dramatically increased the levels of thermogenic genes UCP-1 and PGC-1α while suppressing HDAC3 levels in WATs and 3T3-L1 adipocytes. Importantly, the effects of HLJDD on PGC-1α and UCP-1 were blocked in HDAC3 knockdown adipocytes. CONCLUSIONS Therefore, these results suggest that HLJDD enhanced adipose thermogenesis and improved energy expenditure by inhibiting HDAC3, thereby increasing UCP-1 and PGC-1α expression. These findings amplified the mechanisms of HLJDD and its potential to treat obesity and related metabolic disorders.
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Affiliation(s)
- Pingyuan Xu
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Ziwei Zhu
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Ruonan Zhou
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yaping Wei
- Department of Endocrinology, Changzhou Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Changzhou China
| | - Fangyuan Xu
- Department of Endocrinology, Changzhou Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Changzhou China
| | - Lixuan Shen
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Ziwei Wang
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yingying Xue
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xizhong Yu
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Juan Zhao
- Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Jing Yan
- Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yu Jin
- Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Penghua Fang
- Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
| | - Wenbin Shang
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Key Laboratory for Metabolic Diseases in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
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Saleh M, Ba-Break M, Abahussin A. Barriers and facilitators of school-based obesity prevention interventions: a qualitative study from the perspectives of primary school headteachers. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2024; 43:217. [PMID: 39696660 DOI: 10.1186/s41043-024-00713-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Accepted: 12/06/2024] [Indexed: 12/20/2024]
Abstract
BACKGROUND Childhood obesity is a growing global health issue. The World Health Organization identifies obesity as a significant risk factor for Non-Communicable Diseases and considers it a pandemic. This study aimed to investigate headteachers' perspectives and practices concerning childhood obesity prevention interventions in primary schools highlighting the barriers and facilitators for those interventions. METHODS This qualitative study used a phenomenological approach and semi-structured interviews with headteachers of primary schools in the West Yorkshire area, UK. The collected data was transcribed and analysed using inductive thematic analysis. RESULTS A total of 32 interviews with headteachers were conducted. The data indicated that interventions meant to prevent childhood obesity in schools are influenced by a range of barriers and facilitators that are organized under the following seven key themes: (1) staff perception of obesity prevention at school; (2) school policies on eating at schools; (3) School curriculum on healthy diets and physical activities; (4) role models at school; (5) partnership with parents; (6) extra-curricular activities on healthy diets and physical activities; (7) School capacity and resources. CONCLUSIONS Childhood obesity prevention interventions vary across UK schools depending on staff and head teachers' beliefs, awareness, commitments, school resources, parents' involvement and parents' awareness, income, and culture. The study suggests raising awareness of childhood obesity among parents and staff, involving external partners like school nurses for training, making all primary pupils eligible for free meals, and providing schools with guidance on securing government funding. It provides a foundation for improving school-based strategies that indirectly contribute to better health outcomes for children.
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Affiliation(s)
- Mohamed Saleh
- Leeds Institute of Health Sciences, International Health, University of Leeds, Leeds, UK
| | - Maryam Ba-Break
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
| | - Asma Abahussin
- Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, P.O Box 10219, Riyadh, Saudi Arabia
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Gong J, Liu F, Peng Y, Wang P, Si C, Wang X, Zhou H, Gu J, Qin A, Song F. Sex disparity in the association between metabolic-anthropometric phenotypes and risk of obesity-related cancer: a prospective cohort study. BMC Med 2024; 22:355. [PMID: 39218868 PMCID: PMC11367774 DOI: 10.1186/s12916-024-03592-9] [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: 01/02/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Sex disparity between metabolic-obesity (defined by body mass index, BMI) phenotypes and obesity-related cancer (ORC) remains unknown. Considering BMI reflecting overall obesity but not fat distribution, we aimed to systematically assess the association of our newly proposed metabolic-anthropometric phenotypes with risk of overall and site-specific ORC by sex. METHODS A total of 141,579 men (mean age: 56.37 years, mean follow-up time: 12.04 years) and 131,047 women (mean age: 56.22 years, mean follow up time: 11.82 years) from the UK Biobank was included, and designated as metabolic-anthropometric phenotypes based on metabolic status (metabolically healthy/unhealthy), BMI (non-obesity/obesity) and body shape (pear/slim/apple/wide). The sex-specific association of different phenotypes with overall and site-specific ORC was assessed by hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox proportional hazards regression models. RESULTS We found metabolically unhealthy and/or obesity phenotypes conveyed a higher risk in men than in women for overall ORC and colorectal cancer compared with metabolically healthy non-obesity phenotype (Pinteraction < 0.05). Of note, metabolically healthy obesity phenotype contributed to increased risks of most ORC in men (HRs: 1.58 ~ 2.91), but only correlated with higher risks of endometrial (HR = 1.89, 95% CI: 1.54-2.32) and postmenopausal breast cancers (HR = 1.17, 95% CI: 1.05-1.31) in women. Similarly, even under metabolically healthy, men carrying apple and wide shapes phenotypes (metabolically healthy apple/wide and metabolically healthy non-obesity apple/wide) suffered an increased risk of ORC (mainly colorectal, liver, gastric cardia, and renal cancers, HRs: 1.20 ~ 3.81) in comparison with pear shape or non-obesity pear shape. CONCLUSIONS There was a significant sex disparity between metabolic-anthropometric phenotypes and ORC risk. We advised future ORC prevention and control worth taking body shape and sex disparity into account.
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Affiliation(s)
- Jianxiao Gong
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Fubin Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Yu Peng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Changyu Si
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Xixuan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Huijun Zhou
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Jiale Gu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Ailing Qin
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
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Li X, Zhang X, Sun L, Yang L, Li Q, Wang Z, Wu Y, Gao L, Zhao J, Guo Q, Zhou M. Associations Between Metabolic Obesity Phenotypes and Pathological Characteristics of Papillary Thyroid Carcinoma. Endocr Pract 2024; 30:624-630. [PMID: 38679386 DOI: 10.1016/j.eprac.2024.04.010] [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: 12/15/2023] [Revised: 04/01/2024] [Accepted: 04/19/2024] [Indexed: 05/01/2024]
Abstract
OBJECTIVE The association between obesity, metabolic dysregulation, and the aggressive pathological traits of papillary thyroid carcinoma (PTC) continues to be a contentious issue. To date, no investigations have examined the impact of metabolic status on the malignant pathological features of PTC in relation to obesity. METHODS This research involved 855 adult patients with PTC from Shandong Provincial Hospital, classified into 4 groups based on metabolic and obesity status: metabolically healthy nonobese, metabolically unhealthy nonobese (MUNO), metabolically healthy obese, and metabolically unhealthy obese. We employed logistic regression to investigate the relationship between these metabolic obesity phenotypes and PTC's pathological characteristics. Mediation analysis was also performed to determine metabolic abnormalities' mediating role in the nexus between obesity and these characteristics. RESULTS Relative to metabolically healthy nonobese individuals, the metabolically unhealthy obese group was significantly associated with an elevated risk of larger tumor sizes and a greater number of tumor foci in PTC. Mediation analysis indicated that obesity directly influences tumor size, whereas its effect on tumor multifocality is mediated through metabolic dysfunctions. Specifically, high-density lipoprotein cholesterol levels were notably associated with tumor multifocality within obese subjects, serving as a mediator in obesity's impact on this trait. CONCLUSION The concurrent presence of obesity and metabolic dysregulation is often connected to more aggressive pathological features in PTC. The mediation analysis suggests obesity directly affects tumor size and indirectly influences tumor multifocality via low high-density lipoprotein cholesterol levels.
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Affiliation(s)
- Xiuyun Li
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiujuan Zhang
- Health Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Li Sun
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Department of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
| | - Lulu Yang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Qihang Li
- Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zhixiang Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yafei Wu
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Ling Gao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Key Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jiajun Zhao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Qingling Guo
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Meng Zhou
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
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Wang Z, Xu G, Chen G, Amin B, Wang L, Li Z, Wang J, Chen W, Yu C, Tian C, Wuyun Q, Sang Q, Shang M, Lian D, Zhang N. Analysis Using Various Models on the Effect of Metabolic Surgery on Cardiovascular Disease Risk in the Chinese Population with Obesity. Diabetes Metab Syndr Obes 2024; 17:2457-2468. [PMID: 38910913 PMCID: PMC11192193 DOI: 10.2147/dmso.s436176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 04/25/2024] [Indexed: 06/25/2024] Open
Abstract
Background Some research have indicated that Bariatric and metabolic surgery (BMS) can reduce the risk of cardiovascular disease (CVD) among individuals with obesity. However, there are few reports available that focuses on assessing effect of BMS on the risk of CVD in Chinese population using multiple models. Objective This research aims to assess the function of BMS on the risk of CVD in Chinese patients with obesity using multiple CVD risk models. Methods We performed a retrospective analysis of the basic data and glycolipid metabolism data preoperatively and postoperatively from patients with obesity at our hospital. Subgroup analysis was carried out according to different surgical procedures. Then, the function of BMS on the risk of CVD in the Chinese population was assessed using four models, including: China-PAR risk model, Framingham risk score (FRS), World Health Organization (WHO) risk model, and Globorisk model. Results We enrolled 64 patients, 24 (37.5%) of whom underwent laparoscopic sleeve gastrectomy (LSG) while 40 (62.5%) underwent Roux-en-Y gastric bypass (RYGB). The 10-year CVD risk for patients calculated using the China-PAR risk model decreased from 6.3% preoperatively to 2.0% at 1 year postoperatively and was statistically significantly different. Similarly, the 10-year CVD risk of patients calculated using the FRS, WHO, Global risk model decreased significantly at 1 year postoperatively compared to preoperatively. When the FRS risk model was used to calculate the patients' 30-year postoperative CVD risk, there was a significant decrease at 1 year after surgery compared to the preoperative period. When employing various models to evaluate the 10-year CVD risk for LSG and RYGB, no statistically significant difference was found in the 1-year postoperative RRR between the procedures. Conclusion The CVD risk after BMS was significantly reduced compared to preoperatively. In terms of improving cardiovascular risk, SG and RYGB appear to be equally effective.
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Affiliation(s)
- Zheng Wang
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Guangzhong Xu
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Guanyang Chen
- Department of Critical Care Medicine, Peking University People’s Hospital, Beijing, People’s Republic of China
- Surgery Centre of Diabetes Mellitus, Peking University Ninth School of Clinical Medicine, Beijing, People’s Republic of China
| | - Buhe Amin
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Liang Wang
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Zhehong Li
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Jing Wang
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Weijian Chen
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Chengyuan Yu
- Surgery Centre of Diabetes Mellitus, Peking University Ninth School of Clinical Medicine, Beijing, People’s Republic of China
| | - Chenxu Tian
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Qiqige Wuyun
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Qing Sang
- Surgery Centre of Diabetes Mellitus, Peking University Ninth School of Clinical Medicine, Beijing, People’s Republic of China
| | - Mingyue Shang
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Dongbo Lian
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Nengwei Zhang
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
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Omidi F, Nasiri MJ, Sadeghi S. Impact of Obesity on Cardiac Volumes and Left Ventricular Diameter: A Cross-Sectional Study in an Iranian Heart Center. Adv Med 2024; 2024:7038875. [PMID: 38899165 PMCID: PMC11186677 DOI: 10.1155/2024/7038875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 04/14/2024] [Accepted: 06/01/2024] [Indexed: 06/21/2024] Open
Abstract
Introduction Obesity, a pressing global health issue worldwide, contributes to risk factors such as hypertension and dyslipidemia, creating an unfavorable cardiovascular environment and increasing the likelihood of adverse cardiac events. His study aims to assess the impact of obesity on various cardiovascular parameters. Methods A cross-sectional analysis was conducted at a Heart Center, focusing on adults admitted for suspected heart diseases. The dataset included information on demographics, clinical history, laboratory results, and echocardiography. Descriptive analysis and multiple linear regression were employed using IBM SPSS Statistics version 26. Results The study of 105 individuals with suspected heart diseases revealed prevalent health factors such as hypertension (47.6%) and hyperlipidemia (61%). Body mass index (BMI) averaged 30, indicating a trend toward overweight. Obesity significantly associated with higher systolic blood pressure (SBP, p=0.005) and diastolic blood pressure (DBP, p=0.002), larger cardiac volumes (end-diastolic volume, EDV, p=0.013; end-systolic volume, ESV, p=0.040), and a marginally significant influence on left ventricular end-diastolic diameter (LVEDD, p=0.068). No significant associations were found with left ventricular end-systolic diameter (LVEDS), heart rate (HR), or ejection fraction (EF). Conclusions Our study highlights a significant association between obesity and elevated blood pressure, larger cardiac volumes, and a marginal impact on left ventricular end-diastolic diameter. While caution is needed in inferring causation due to the study's cross-sectional nature, these findings underscore the importance of addressing obesity as a potential risk factor for adverse cardiovascular outcomes. Further investigations are warranted to enhance our understanding of the complex interplay between obesity and cardiovascular health.
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Affiliation(s)
- Fatemeh Omidi
- Department of Cardiology, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Soheila Sadeghi
- Clinical Research Development Center, Imam Hossein Educational Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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9
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Liu Y, Zhao A, Sun G, Wang R, Zhang J, Lip GYH, Li G. Relationship between metabolic status, physical activity and cardiovascular disease in participants with obesity. Int J Obes (Lond) 2024; 48:788-795. [PMID: 38253643 DOI: 10.1038/s41366-024-01469-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 11/13/2023] [Accepted: 01/12/2024] [Indexed: 01/24/2024]
Abstract
OBJECTIVE We aimed to investigate the independent and joint associations between metabolic status, PA (physical activity) and risk of CVD (cardiovascular disease) in participants with obesity. METHODS We included 109,301 adults with obesity free of baseline CVD enrolled from 2006 to 2010 in the UK Biobank cohort (aged 56 ± 7.9 years). Based on metabolic status, obesity was grouped into metabolically healthy obesity (MHO; free of hypertension, hypercholesterolemia and diabetes; n = 26,989; BMI 33 ± 3.3 kg/m2) and metabolically unhealthy obesity (MUO; n = 82,312; BMI 34 ± 4.0 kg/m2). PA was categorized into four groups according to moderate-to-vigorous PA (MVPA): none, low, medium, and high. Multivariable Cox regression models were used for the main analyses adjusting for sociodemographic factors, lifestyles and comorbidities. RESULTS There were 8,059 CVD events during a median follow-up of 8.1 years. MHO was associated with a 42% reduced risk of CVD compared with MUO (HR = 0.58, 95% CI: 0.53-0.63). A significant interaction effect between PA and metabolic status on CVD risk was found. Among MUO participants, individuals with PA had significantly decreased CVD risk when compared with no MVPA (HR = 0.87, 95% CI: 0.81-0.94 for low PA; HR = 0.85, 95% CI: 0.78-0.93 for medium PA; and HR = 0.86, 95% CI: 0.80-0.92 for high PA). The lowest CVD risk was observed in MHO & medium PA group when compared with MUO & no MVPA (HR = 0.45, 95% CI: 0.37-0.56). CONCLUSIONS Both MHO and any MVPA were associated with reduced risk of CVD in adults with obesity, while PA could modify the relationship between metabolic status and CVD risk.
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Affiliation(s)
- Yingxin Liu
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ai Zhao
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Ruoting Wang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Jingyi Zhang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China.
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
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10
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Long Y, Mao C, Liu S, Tao Y, Xiao D. Epigenetic modifications in obesity-associated diseases. MedComm (Beijing) 2024; 5:e496. [PMID: 38405061 PMCID: PMC10893559 DOI: 10.1002/mco2.496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/27/2024] Open
Abstract
The global prevalence of obesity has reached epidemic levels, significantly elevating the susceptibility to various cardiometabolic conditions and certain types of cancer. In addition to causing metabolic abnormalities such as insulin resistance (IR), elevated blood glucose and lipids, and ectopic fat deposition, obesity can also damage pancreatic islet cells, endothelial cells, and cardiomyocytes through chronic inflammation, and even promote the development of a microenvironment conducive to cancer initiation. Improper dietary habits and lack of physical exercise are important behavioral factors that increase the risk of obesity, which can affect gene expression through epigenetic modifications. Epigenetic alterations can occur in early stage of obesity, some of which are reversible, while others persist over time and lead to obesity-related complications. Therefore, the dynamic adjustability of epigenetic modifications can be leveraged to reverse the development of obesity-associated diseases through behavioral interventions, drugs, and bariatric surgery. This review provides a comprehensive summary of the impact of epigenetic regulation on the initiation and development of obesity-associated cancers, type 2 diabetes, and cardiovascular diseases, establishing a theoretical basis for prevention, diagnosis, and treatment of these conditions.
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Affiliation(s)
- Yiqian Long
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
| | - Chao Mao
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic MedicineCentral South UniversityChangshaChina
| | - Shuang Liu
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- Department of Oncology, Institute of Medical Sciences, National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaHunanChina
| | - Yongguang Tao
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic MedicineCentral South UniversityChangshaChina
- Hunan Key Laboratory of Early Diagnosis and Precision Therapy in Lung Cancer, Department of Thoracic SurgerySecond Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Desheng Xiao
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
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11
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Flores Gomez D, Bekkering S, Ter Horst R, Cossins B, van den Munckhof ICL, Rutten JHW, Joosten LAB, Netea MG, Riksen NP. The effect of leptin on trained innate immunity and on systemic inflammation in subjects with obesity. J Leukoc Biol 2024; 115:374-384. [PMID: 37776323 DOI: 10.1093/jleuko/qiad118] [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: 03/15/2023] [Revised: 07/26/2023] [Accepted: 09/10/2023] [Indexed: 10/02/2023] Open
Abstract
Leptin is associated with cardiometabolic complications of obesity, such as metabolic syndrome and atherosclerosis. In obese men, the presence of metabolic syndrome is associated with higher circulating leptin and interleukin (IL)-6 concentrations and increased monocyte cytokine production capacity. Here, we investigated the effects of leptin on monocyte function and systemic inflammatory markers in obese individuals. We specifically explored whether leptin can induce long-term changes in innate immune function by inducing innate immune memory (also called trained immunity). We exposed human primary monocytes for 24 h to relevant leptin concentrations in vitro and measured cytokine production. In addition, after removing leptin, we incubated monocytes for 5 d in culture medium, and we restimulated them on day 6 to assess cytokine production capacity, phagocytosis, and foam cell formation. Direct stimulation with leptin did not induce cytokine production, but exposure to 50 ng/mL leptin augmented lipopolysaccharide- and R848-induced tumor necrosis factor α (TNF-α) production after 1 wk. In a separate in vivo study in a cohort of 302 obese subjects (body mass index [BMI] >27 kg/m2, 55 to 81 yr), we measured circulating leptin, inflammatory markers, and cytokine production upon ex vivo stimulation of isolated peripheral blood mononuclear cells. Circulating leptin concentrations positively correlated with circulating IL-1β and IL-6, which was more pronounced in men than in women. Four single nucleotide polymorphisms in the leptin gene influenced circulating IL-6 concentrations in men, suggesting a direct effect of leptin on IL-6. In conclusion, in vitro, leptin does not directly stimulate monocytes to produce cytokines, yet induces long-term monocyte hyperresponsiveness, i.e. trained immunity. In obese subjects, leptin is associated with circulating IL-6 in a sex-dependent manner. The underlying mechanisms of the sex-specific effect of leptin on innate immune cells remain to be further investigated.
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Affiliation(s)
- Daniela Flores Gomez
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Siroon Bekkering
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Rob Ter Horst
- Center for Molecular Medicine, Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3, 1090 Vienna, Austria
| | - Benjamin Cossins
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Inge C L van den Munckhof
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Joost H W Rutten
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Leo A B Joosten
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
- Department of Medical Genetics, Iuliu Haţieganu University of Medicine and Pharmacy, Strada Victor Babeș 8, Cluj-Napoca 400347, Romania
| | - Mihai G Netea
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
- Department of Immunology and Metabolism, Life and Medical Sciences Institute, University of Bonn, Carl-Troll-Straße 31, 53115 Bonn, Germany
| | - Niels P Riksen
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
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12
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Huang J, Gao T, Zhang H, Wang X. Association of obesity profiles and metabolic health status with liver injury among US adult population in NHANES 1999-2016. Sci Rep 2023; 13:15958. [PMID: 37749307 PMCID: PMC10519960 DOI: 10.1038/s41598-023-43028-7] [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: 06/28/2023] [Accepted: 09/18/2023] [Indexed: 09/27/2023] Open
Abstract
The combined effect of obesity and metabolic abnormalities on liver injury is unclear. Aiming to address this knowledge gap, this cross-sectional study was conducted among 16,201 US adults. Multiple linear regression and logistic regression analyses were conducted to assess the associations of obesity profiles, metabolic health status, and weight change with the levels of liver enzymes. The analysis revealed that general obesity and abdominal obesity were positively associated with the levels of liver enzymes and the prevalence of abnormal liver enzymes (P and Ptrend < 0.05). The associations remained significant in both metabolically healthy and metabolically unhealthy subgroups. Additionally, the liver injury index levels of the metabolically unhealthy participants were higher than those of the metabolically healthy individuals within the non-obese, overweight/pre-abdominal obesity, and general/abdominal obesity subgroups (P and Ptrend < 0.05). Furthermore, the subgroup characterized by general/abdominal obesity and metabolic dysfunction exhibited the most robust association with the liver injury index compared to all other subgroups examined. In addition, positive associations were observed between the 1-year and 10-year weight changes and the levels of liver injury indicators (P and Ptrend < 0.05). In conclusion, this study demonstrates that both obesity and metabolic impairment are independently associated with liver injury, and their combined presence have an additional adverse effect on liver health. These findings underscore the importance of addressing both obesity and metabolic dysfunction in order to mitigate the risk of liver injury.
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Affiliation(s)
- Jing Huang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Tian Gao
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Huinan Zhang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Xing Wang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China.
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13
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You A, Li Y, Shen C, Fan H, He J, Liu Z, Xue Q, Zhang Y, Zheng L. Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population. Diabetol Metab Syndr 2023; 15:129. [PMID: 37322514 DOI: 10.1186/s13098-023-01047-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 03/29/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Metabolic syndrome (MetS), a clustering of traditional cardiovascular risk factors (CVRF), is currently one of the major global public health burdens. However, associations between MetS and non-traditional CVRF represented by uric acid (UA), homocysteine (HCY) and hypersensitive C-reactive protein (HsCRP) have not been well explored in the elderly population, especially when considering body mass index (BMI). METHODS Participants from the Shanghai Elderly Cardiovascular Health (SHECH) study cohort in 2017 were analyzed. MetS was defined using the modified American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Logistic regression models were used to assess associations of non-traditional CVRF, BMI with MetS. RESULTS Of the 4360 participants analyzed, 2378 (54.5%) had MetS, the mean (SD) UA was 331 (86) µmol/L, and the median (IQR) HCY and HsCRP were 15 (13-18) µmol/L and 1.0 (0.5-2.1) mg/L, respectively. Participants with higher non-traditional CVRF tended to have a higher significant risk of MetS (P < 0.001), which did not changed substantially in most population subgroups (P-interaction > 0.05). BMI mediated 43.89% (95%CI: 30.38-57.40%), 37.34% (95% CI: 13.86-60.83%) and 30.99% (95%CI: 13.16-48.83%) of associations of hyperuricemia (HUA), hyperhomocysteinemia (HHCY) and high HsCRP (HHsCRP) with MetS, respectively. Abnormal non-traditional CVRF combined with overweight/obesity greatly increased MetS risk (adjusted OR(95%CI): HUA + Overweight: 5.860(4.059-8.461); 6.148(3.707-10.194); HHCY + Overweight: 3.989(3.107-5.121); HHCY + Obese: 5.746(4.064-8.123); HHsCRP + Overweight: 4.026(2.906-5.580); HHsCRP + Obese: 7.717(4.508-13.210)). CONCLUSIONS In the Chinese elderly population, HUA, HHCY, and HHsCRP were all significantly and independently associated with MetS, supporting the potential of focusing on non-traditional CVRF interventions for preventing and controlling MetS. BMI played moderate mediating roles in associations between non-traditional CVRF and MetS, and abnormal non-traditional CVRF combined with overweight/obesity had significant synergistic effects on MetS risk, highlighting the importance of better weight management in the elderly population.
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Affiliation(s)
- Aijun You
- Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Yaxin Li
- Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Chaonan Shen
- Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China
| | - Huimin Fan
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China
| | - Jia He
- Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China
- Department of Health Statistics, Faculty of Health Service, Naval Medical University, Shanghai, 200433, China
- Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Zhongmin Liu
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China
| | - Qian Xue
- Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
| | - Yuzhen Zhang
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China.
| | - Liang Zheng
- Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China.
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China.
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