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Ye R, Zhang X, Zhang Z, Wang S, Liu L, Jia S, Yang X, Liu X, Chen X. Association of cardiometabolic and triglyceride-glucose index with left ventricular diastolic function in asymptomatic individuals. Nutr Metab Cardiovasc Dis 2024; 34:1590-1600. [PMID: 38499451 DOI: 10.1016/j.numecd.2024.02.008] [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: 09/19/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND AND AIMS Obesity and insulin resistance are associated with left ventricular diastolic dysfunction (LVDD) and increased risk of heart failure. Cardiometabolic index (CMI) and triglyceride glucose (TyG) are new indexes to assess visceral obesity and insulin resistance, respectively. The study aimed to investigate the clinical usefulness of these indexes for identifying LVDD individuals. METHODS AND RESULTS Overall, 1898 asymptomatic individuals were included in this cross-sectional study. Participants underwent anthropometrics, serum biochemical evaluation, and echocardiography. Multiple linear regression analysis revealed that both indexes were independent determinants of diastolic parameters among females; while for males, CMI and TyG were not associated with A velocity. In the multivariate logistic analysis, the proportion of LVDD in the third and fourth quartiles of CMI remained significantly greater than that in the lowest quartile in females (Q3 vs. Q1: odds ratio (OR) = 2.032, 95% confidence interval (CI): 1.181-3.496; Q4 vs. Q1: OR = 2.393, 95% CI: 1.347-4.249); while in males, the incidence of LVDD was significantly greater only in the fourth quartile. For TyG, the presence of LVDD in the fourth quartile was significantly greater in both genders. The discriminant values between the CMI (AUC: 0.704, 95% CI: 0.668-0.739) and TyG (AUC: 0.717, 95% CI: 0.682-0.752) were similar in females. Both indexes performed better in females than in males to identify LVDD. CONCLUSION The CMI and TyG might both serve as effective tools to identify LVDD in routine health check-ups in primary care, mainly in females. With simpler parameters, the CMI could be utilized in medically resource-limited areas.
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MESH Headings
- Humans
- Female
- Male
- Cross-Sectional Studies
- Triglycerides/blood
- Ventricular Function, Left
- Middle Aged
- Blood Glucose/metabolism
- Ventricular Dysfunction, Left/epidemiology
- Ventricular Dysfunction, Left/physiopathology
- Ventricular Dysfunction, Left/blood
- Ventricular Dysfunction, Left/diagnosis
- Ventricular Dysfunction, Left/diagnostic imaging
- Diastole
- Biomarkers/blood
- Adult
- Asymptomatic Diseases
- Insulin Resistance
- Risk Assessment
- Cardiometabolic Risk Factors
- Predictive Value of Tests
- Obesity, Abdominal/diagnosis
- Obesity, Abdominal/epidemiology
- Obesity, Abdominal/physiopathology
- Obesity, Abdominal/blood
- Sex Factors
- Incidence
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Affiliation(s)
- Runyu Ye
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xin Zhang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhipeng Zhang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Si Wang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Lu Liu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Shanshan Jia
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xiangyu Yang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xueting Liu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xiaoping Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.
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Contreras-Hernández IF, Vargas-De-León C, García-Cortes LR, Flores-Miranda A, Romero-Nava R, Ocharán-Hernández ME. Comparison of Ten Surrogate Insulin Resistance and Obesity Markers to Identify Metabolic Syndrome in Mexican Adults. Metabolites 2024; 14:358. [PMID: 39057681 PMCID: PMC11279364 DOI: 10.3390/metabo14070358] [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: 05/21/2024] [Revised: 06/16/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024] Open
Abstract
Metabolic syndrome (MetS) is a group of clinical traits directly linked to type 2 diabetes mellitus and cardiovascular diseases, whose prevalence has been rising nationally and internationally. We aimed to evaluate ten known and novel surrogate markers of insulin resistance and obesity to identify MetS in Mexican adults. The present cross-sectional study analyzed 10575 participants from ENSANUT-2018. The diagnosis of MetS was based on the Adult Treatment Panel III (ATP III) criteria and International Diabetes Federation (IDF) criteria, stratified by sex and age group. According to ATP III, the best biomarker was the metabolic score for insulin resistance (METS-IR) in men aged 20-39 and 40-59 years and lipid accumulation product (LAP) in those aged ≥60 years. The best biomarker was LAP in women aged 20-39 and triglyceride-glucose index (TyG) in those aged 40-59 and ≥60 years. Using the IDF criteria, the best biomarker was LAP in men of all ages. TyG gave the best results in women of all ages. The best biomarker for diagnosis of MetS in Mexican adults depends on the criteria, including sex and age group. LAP and TyG are easy to obtain, inexpensive, and especially useful at the primary care level.
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Affiliation(s)
- Iván Filiberto Contreras-Hernández
- Laboratorio de Modelación Bioestadística para la Salud, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, Mexico; (I.F.C.-H.); (R.R.-N.); (M.E.O.-H.)
- IMSS Unidad de Medicina Familiar 75, Delegación 15 Oriente, Instituto Mexicano del Seguro Social, Estado de México 57500, Mexico
| | - Cruz Vargas-De-León
- Laboratorio de Modelación Bioestadística para la Salud, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, Mexico; (I.F.C.-H.); (R.R.-N.); (M.E.O.-H.)
- División de Investigación, Hospital Juárez de México, Ciudad de México 07760, Mexico;
| | - Luis Rey García-Cortes
- Jefatura de Servicios de Prestaciones Médicas, Órgano de Operación Administrativa Desconcentrada Regional Estado de México Oriente, Instituto Mexicano del Seguro Social, Estado de México 54060, Mexico;
| | | | - Rodrigo Romero-Nava
- Laboratorio de Modelación Bioestadística para la Salud, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, Mexico; (I.F.C.-H.); (R.R.-N.); (M.E.O.-H.)
| | - María Esther Ocharán-Hernández
- Laboratorio de Modelación Bioestadística para la Salud, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, Mexico; (I.F.C.-H.); (R.R.-N.); (M.E.O.-H.)
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Witarto BS, Witarto AP, Visuddho V, Wungu CDK, Maimunah U, Rejeki PS, Oceandy D. Gender-specific accuracy of lipid accumulation product index for the screening of metabolic syndrome in general adults: a meta-analysis and comparative analysis with other adiposity indicators. Lipids Health Dis 2024; 23:198. [PMID: 38926783 PMCID: PMC11201307 DOI: 10.1186/s12944-024-02190-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Lipid accumulation product (LAP) is a novel predictor index of central lipid accumulation associated with metabolic and cardiovascular diseases. This study aims to investigate the accuracy of LAP for the screening of metabolic syndrome (MetS) in general adult males and females and its comparison with other lipid-related indicators. METHODS A systematic literature search was conducted in PubMed, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and ProQuest for eligible studies up to May 8, 2024. Outcomes were pooled mean difference (MD), odds ratio (OR), and diagnostic accuracy parameters (sensitivity, specificity, and area under the summary receiver operating characteristic [AUSROC] curve). Comparative analysis was conducted using Z-test. RESULTS Forty-three studies involving 202,313 participants (98,164 males and 104,149 females) were included. Pooled MD analysis showed that LAP was 45.92 (P < 0.001) and 41.70 units (P < 0.001) higher in men and women with MetS, respectively. LAP was also significantly associated with MetS, with pooled ORs of 1.07 (P < 0.001) in men and 1.08 (P < 0.001) in women. In men, LAP could detect MetS with a pooled sensitivity of 85% (95% CI: 82%-87%), specificity of 81% (95% CI: 80%-83%), and AUSROC curve of 0.88 (95% CI: 0.85-0.90), while in women, LAP had a sensitivity of 83% (95% CI: 80%-86%), specificity of 80% (95% CI: 78%-82%), and AUSROC curve of 0.88 (95% CI: 0.85-0.91). LAP had a significantly higher AUSROC curve (P < 0.05) for detecting MetS compared to body mass index (BMI), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), body roundness index (BRI), a body shape index (ABSI), body adiposity index (BAI), conicity index (CI) in both genders, and waist circumference (WC) and abdominal volume index (AVI) in females. CONCLUSION LAP may serve as a simple, cost-effective, and more accurate screening tool for MetS in general adult male and female populations.
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Affiliation(s)
| | | | - Visuddho Visuddho
- Medical Program, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Citrawati Dyah Kencono Wungu
- Division of Biochemistry, Department of Medical Physiology and Biochemistry, Faculty of Medicine, Universitas Airlangga, Jl. Mayjen Prof. Dr. Moestopo 47, Surabaya, East Java, 60132, Indonesia.
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, Indonesia.
| | - Ummi Maimunah
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Dr. Soetomo General Hospital, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Purwo Sri Rejeki
- Division of Physiology, Department of Medical Physiology and Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Delvac Oceandy
- Division of Cardiovascular Science, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PG, UK
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Zhang X, Wang Y, Yang X, Li Y, Gui J, Mei Y, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Obesity and lipid indices as predictors of depressive symptoms in middle-aged and elderly Chinese: insights from a nationwide cohort study. BMC Psychiatry 2024; 24:351. [PMID: 38730360 PMCID: PMC11088055 DOI: 10.1186/s12888-024-05806-z] [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: 01/30/2023] [Accepted: 05/02/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Depressive symptoms are one of the most common psychiatric disorders, with a high lifetime prevalence rate among middle-aged and elderly Chinese. Obesity may be one of the risk factors for depressive symptoms, but there is currently no consensus on this view. Therefore, we investigate the relationship and predictive ability of 13 obesity- and lipid-related indices with depressive symptoms among middle-aged and elderly Chinese. METHODS The data were obtained from The China Health and Retirement Longitudinal Study (CHARLS). Our analysis includes individuals who did not have depressive symptoms at the baseline of the CHARLS Wave 2011 study and were successfully follow-up in 2013 and 2015. Finally, 3790 participants were included in the short-term (from 2011 to 2013), and 3660 participants were included in the long-term (from 2011 to 2015). The average age of participants in short-term and long-term was 58.47 years and 57.88 years. The anthropometric indicators used in this analysis included non-invasive [e.g. waist circumference (WC), body mass index (BMI), and a body mass index (ABSI)], and invasive anthropometric indicators [e.g. lipid accumulation product (LAP), triglyceride glucose index (TyG index), and its-related indices (e.g. TyG-BMI, and TyG-WC)]. Receiver operating characteristic (ROC) analysis was used to examine the predictive ability of various indicators for depressive symptoms. The association of depressive symptoms with various indicators was calculated using binary logistic regression. RESULTS The overall incidence of depressive symptoms was 20.79% in the short-term and 27.43% in the long-term. In males, WC [AUC = 0.452], LAP [AUC = 0.450], and TyG-WC [AUC = 0.451] were weak predictors of depressive symptoms during the short-term (P < 0.05). In females, BMI [AUC = 0.468], LAP [AUC = 0.468], and TyG index [AUC = 0.466] were weak predictors of depressive symptoms during the long-term (P < 0.05). However, ABSI cannot predict depressive symptoms in males and females during both periods (P > 0.05). CONCLUSION The research indicates that in the middle-aged and elderly Chinese, most obesity- and lipid-related indices have statistical significance in predicting depressive symptoms, but the accuracy of these indicators in prediction is relatively low and may not be practical predictors.
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Affiliation(s)
- Xiaoyun Zhang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ying Wang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Xue Yang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Yuqing Li
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Jiaofeng Gui
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Yujin Mei
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Haiyang Liu
- Student Health Center, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lei-Lei Guo
- Department of Surgical Nursing, School of Nursing, Jinzhou Medical University, No.40, Section 3, Songpo Road, Linghe District, Jinzhou City, Liaoning Province, People's Republic of China
| | - Jinlong Li
- Department of Occupational and Environmental Health, Key Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, People's Republic of China
| | - Yunxiao Lei
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Xiaoping Li
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lu Sun
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Liu Yang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ting Yuan
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Dongmei Zhang
- Department of Pediatric Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Jing Li
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Mingming Liu
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ying Hua
- Rehabilitation Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lin Zhang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China.
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Han W, Zhang M, Wang H, Yang Y, Wang L. Lipid accumulation product is an effective predictor of metabolic syndrome in non-obese women with polycystic ovary syndrome. Front Endocrinol (Lausanne) 2024; 14:1279978. [PMID: 38269246 PMCID: PMC10807289 DOI: 10.3389/fendo.2023.1279978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 12/06/2023] [Indexed: 01/26/2024] Open
Abstract
Objective To explore the correlation of lipid accumulation product (LAP) with metabolic syndrome (MS) and to assess the predictive value of LAP for MS risk in polycystic ovary syndrome (PCOS) with different body mass index (BMI). Methods A total of 242 PCOS patients and 150 controls were recruited and divided into normal-weight, overweight, and obese groups, then further divided into MS and without MS subgroups. Clinical and anthropometric variables and laboratory results were recorded. LAP was calculated from waist circumference (WC) and triglyceride using sex-specific formulae. Logistic regression analysis and receiver operating characteristic (ROC) curve were applied to determine and analyze the predictive value of LAP for MS. Results The prevalence of MS among PCOS patients was 45.04%, which was significantly higher than that of the controls (10%). Stratified by BMI, the incidence of MS in the normal-weight, overweight, and obese PCOS groups were 15.58%, 41.43%, and 71.58%, respectively. Logistic regression analysis indicated that LAP was an independent risk factor for MS in both normal-weight and overweight groups; however, the results were not significant in the obese group. ROC curve analysis showed that LAP had an outstanding discrimination index for MS in normal-weight (AUC=0.960, cut-off value=42.5) and overweight (AUC=0.937, cut-off value=47.93) PCOS patients, with a sensitivity of 0.917/0.931 (normal-weight/overweight) and a specificity of 0.969/0.854 (normal-weight/overweight), respectively. Conclusion Normal-weight and overweight PCOS patients also have a fairly high incidence of MS and should receive as much attention as obese patients. Compared to applying multiple clinical indicators, LAP is more convenient and facilitates acquiring early and accurate diagnoses of MS among non-obese PCOS patients using fewer MS markers.
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Affiliation(s)
- Wenju Han
- Department of Reproductive Center, Dalian Women and Children’s Medical Group, Dalian, China
- School of Public Health, China Medical University, Shenyang, China
| | - Meiwei Zhang
- Department of Reproductive Center, Dalian Women and Children’s Medical Group, Dalian, China
| | - Haiyan Wang
- Department of Reproductive Center, Dalian Women and Children’s Medical Group, Dalian, China
| | - Yitian Yang
- Department of Reproductive Center, Dalian Women and Children’s Medical Group, Dalian, China
| | - Lei Wang
- Department of Reproductive Center, Dalian Women and Children’s Medical Group, Dalian, China
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Chan V, Cao L, Wong MMH, Lo K, Tam W. Diagnostic Accuracy of Waist-to-Height Ratio, Waist Circumference, and Body Mass Index in Identifying Metabolic Syndrome and Its Components in Older Adults: A Systematic Review and Meta-Analysis. Curr Dev Nutr 2024; 8:102061. [PMID: 38230348 PMCID: PMC10790020 DOI: 10.1016/j.cdnut.2023.102061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/21/2023] [Accepted: 12/06/2023] [Indexed: 01/18/2024] Open
Abstract
Background Although numerous studies have indicated the utility of waist-to-height ratio (WHtR) in early screening for individuals with adverse cardiometabolic health, there is controversy on using WHtR as a one-size-fits-all approach, including in older adults. Objectives Our study aims to identify the pooled diagnostic accuracy of WHtR in screening for metabolic syndrome (MetS) and its components among older adults. Methods A systematic review of observational studies was performed using 4 databases. A diagnostic meta-analysis with a random effects model was conducted, and the pooled area under the summary receiver operating characteristic curve, sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio (dOR) of each outcome compared with WHtR, body mass index (BMI), and waist circumference (WC) were calculated, with sex-stratified analysis. Results A total of 17 studies with 74,520 participants were included. As reflected by the dOR, WHtR (7.65; 95% CI: 6.00, 9.75) performed better than BMI (5.17; 95% CI: 4.75, 5.62) and WC (5.77; 95% CI: 4.60, 7.25) in screening for MetS among older adults and was potentially better among males. For hyperglycemia, hypertension, and dyslipidemia, the performances of WHtR, BMI, and WC were comparable. Conclusion More studies focusing on older adults are still needed to determine the cutoff values of WHtR to screen for MetS.The search strategy was registered in PROSPERO as CRD42022350379.
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Affiliation(s)
- Vicky Chan
- Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong, China
| | - Liujiao Cao
- West China School of Nursing/West China Hospital, Sichuan University, Chengdu, China
| | - Martin Ming Him Wong
- Institute of Epidemiology and Health Care, University College London, London, United Kingdom
| | - Kenneth Lo
- Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Wilson Tam
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Chen ZY, Liu L, Zhuang XX, Zhang YC, Ma YN, Liu Y, Wen DL. Lipid accumulation product is a better predictor of metabolic syndrome in Chinese adolescents: a cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1179990. [PMID: 37424867 PMCID: PMC10326626 DOI: 10.3389/fendo.2023.1179990] [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: 03/05/2023] [Accepted: 06/09/2023] [Indexed: 07/11/2023] Open
Abstract
Aim Confirm and compare the degree of associations of non-traditional lipid profiles and metabolic syndrome (MetS) in Chinese adolescents, determine the lipid parameter with better predictive potential, and investigate their discriminatory power on MetS. Methods Medical measurements, including anthropometric measurements and biochemical blood tests, were undergone among a total sample of 1112 adolescents (564 boys and 548 girls) aged from 13 to 18 years. Univariate and multivariate logistic regression analyses were applied for assessing the relationships between the levels of traditional/non-traditional lipid profiles and MetS. We performed Receiver Operating Characteristic (ROC) analyses to mensurate the effectiveness of lipid accumulation product (LAP) on the diagnosis of MetS. Meanwhile, areas under the ROC curve and the cut-off values were calculated for MetS and its components. Results Univariate analysis showed that all our lipid profiles were closely associated with MetS (P< 0.05). LAP index showed the closest association with MetS than the other lipid profiles. Additionally, ROC analyses indicated that the LAP index showed sufficient capabilities to identify adolescents with MetS and its components. Conclusion The LAP index is a simple and efficient tool to identify individuals with MetS in Chinese adolescents.
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Affiliation(s)
- Zi-yi Chen
- Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China
| | - Lei Liu
- School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China
| | - Xu-xiu Zhuang
- Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China
| | - Yi-cong Zhang
- Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China
| | - Ya-nan Ma
- School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Yang Liu
- Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China
| | - De-liang Wen
- Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China
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8
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Mosad AS, Elfadil GA, Elhassan SH, Elbashir ZA, S A Husain NEO, Karar T, Elfaki EM. Diagnostic performance using obesity and lipid-related indices and atherogenic index of plasma to predict metabolic syndrome in the adult sudanese population. Niger J Clin Pract 2023; 26:617-624. [PMID: 37357479 DOI: 10.4103/njcp.njcp_692_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
Background Simple and accurate clinical indicators to detect metabolic abnormalities might be helpful for early management and lowering the risk of future consequences like cardiovascular disease and type 2 diabetes mellitus. Aim The visceral adiposity index (VAI), lipid accumulation product (LAP), and atherogenic index of plasma (AIP) have been proposed as reliable, straightforward clinical markers and indications of metabolic syndrome (MetS). This study aimed to see how well these obesity and lipid-related indicators will predict MetS in adult Sudanese patients. Subjects and Methods This community hospital-based case-control study included 420 middle-aged people (154 men and 266 women). Anthropometric measurements, weight (kilogram), height (meters), and waist circumference (WC) were evaluated, and the body mass index (BMI) and waist-to-height ratio (WHtR) were calculated. Fasting blood samples were collected for glycated hemoglobin (HbA1c) and lipid profile assessment. VAI, LAP, and AIP were calculated. Results Significantly higher means of BMI, WC, WHtR, HbA1c, triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides/high-density lipoprotein cholesterol (TG/HDL-C) ratio, LAP, VAI, AIP, and significantly decrease in high-density lipoprotein cholesterol (HDL-C) were seen among MetS when compared with non-MetS group. LAP had a significant proportion with BMI, WC, WHtR, TG, TG/HDL-C, VAI, and AIP, and it is inversely related to HDL-C in the MetS group. On ROC analysis, LAP had the largest operating characteristic curves (AUC) for both gender 0.970 (0.948-0.993) for men and 0.964 (0.945-0.982) for women, followed by WC, and VAI, while BMI showed the lowest AUCs for men and women. In multiple regression analyses, AIP values increased significantly with LDL-C, DBP, HbA1c, LAP, and VAI. Conclusion The LAP was considerably higher in middle-aged people with MetS in both gender and was considered the best diagnostic performance.
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Affiliation(s)
- A S Mosad
- Department of Clinical Chemistry, College of Medical Laboratory Science, Sudan University of Science and Technology, Khartoum, Sudan
| | - G A Elfadil
- Department of Clinical Chemistry, College of Medical Laboratory Science, Sudan University of Science and Technology, Khartoum, Sudan
| | - S H Elhassan
- Department of Clinical Chemistry, College of Medical Laboratory Science, Sudan University of Science and Technology, Khartoum, Sudan
| | - Z A Elbashir
- Department of Internal Medicine, Faculty of Medicine, University of Khartoum, Khartoum, Sudan
| | - N E O S A Husain
- Department of Pathology, Faculty of Medicine and Health Sciences, Omdurman Islamic University, Khartoum, Sudan
| | - T Karar
- Clinical Laboratory Department, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Science Al-Ahsa, International Medical Research Center Al-Ahsa, KSA
| | - E M Elfaki
- Clinical Laboratory Sciences Department, College of Applied Medical Science, Al-Qurayyat, Jouf University, KSA
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Yang T, Wang J, Wu L, Guo F, Huang F, Song Y, Jing N, Pan M, Ding X, Cao Z, Liu S, Qin G, Zhao Y. Development and validation of a nomogram to estimate future risk of type 2 diabetes mellitus in adults with metabolic syndrome: prospective cohort study. Endocrine 2023; 80:336-345. [PMID: 36940011 DOI: 10.1007/s12020-023-03329-3] [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: 10/03/2022] [Accepted: 02/10/2023] [Indexed: 03/21/2023]
Abstract
OBJECTIVES To develop and validate the 4-year risk of type 2 diabetes mellitus among adults with metabolic syndrome. DESIGN Retrospective cohort study of a large multicenter cohort with broad validation. SETTINGS The derivation cohort was from 32 sites in China and the geographic validation cohort was from Henan population-based cohort study. RESULTS 568 (17.63) and 53 (18.67%) participants diagnosed diabetes during 4-year follow-up in the developing and validation cohort, separately. Age, gender, body mass index, diastolic blood pressure, fasting plasma glucose and alanine aminotransferase were included in the final model. The area under curve for the training and external validation cohort was 0.824 (95% CI, 0.759-0.889) and 0.732 (95% CI, 0.594-0.871), respectively. Both the internal and external validation have good calibration plot. A nomogram was constructed to predict the probability of diabetes during 4-year follow-up, and on online calculator is also available for a more convenient usage ( https://lucky0708.shinyapps.io/dynnomapp/ ). CONCLUSION We developed a simple diagnostic model to predict 4-year risk of type 2 diabetes mellitus among adults with metabolic syndrome, which is also available as web-based tools ( https://lucky0708.shinyapps.io/dynnomapp/ ).
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Affiliation(s)
- Tongyue Yang
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Jiao Wang
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Lina Wu
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Feng Guo
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Fengjuan Huang
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Yi Song
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Na Jing
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Mengxing Pan
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Xiaoxu Ding
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhe Cao
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Shiyu Liu
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Guijun Qin
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Yanyan Zhao
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
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Fahmy AM, El Shall N, Kabbash I, El Ahwal L, Selim A. Lipid accumulation product and visceral adiposity index: two indices to predict metabolic syndrome and insulin resistance in chronic kidney disease patients. Endocr Regul 2023; 57:99-105. [PMID: 37183690 DOI: 10.2478/enr-2023-0012] [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] [Indexed: 05/16/2023] Open
Abstract
Objective. Chronic kidney disease (CKD), metabolic syndrome (MetS) and insulin resistance (IR) are the major health problems associated with the increasing risk of cardiovascular and cerebrovascular complications. Methods. This cross-sectional study included 209 CKD patients of stage (3-5) on conservative treatment to assess the usage of lipid accumulation product (LAP) and visceral adiposity index (VAI) to predict both MetS and IR in CKD patients. Results. In males, from the anthropometric measurements, LAP was the best predictor of MetS with 94.4% sensitivity and 77.8% specificity. VAI was the next one with 83.3% sensitivity and 69.4% specificity. The same results were obtained in females. The receiver operating characteristic (ROC) curve showed LAP as the best predictor of MetS with the highest 92.6% sensitivity and 60.6% specificity followed by VAI with 83.6% sensitivity and 83.6% specificity. In addition, LAP was a good predictor of IR with more than 70% sensitivity in both males and females. VAI as a predictor of IR showed 62.2% sensitivity in males and 69.9% in females. Conclusion. The present data indicate that both LAP and VAI can serve as predictors of MetS and IR in CKD patients, whereas LAP is the best anthropometric measure to predict MetS and LAP is more sensitive and specific than VAI in IR predicting in both males and females.
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Affiliation(s)
- Ahmed Mohamed Fahmy
- 1Department of Internal Medicine, Faculty of Medicine, Tanta University, Egypt
| | - Nelly El Shall
- 1Department of Internal Medicine, Faculty of Medicine, Tanta University, Egypt
| | - Ibrahim Kabbash
- 2Department of Public Health & Community Medicine, Faculty of Medicine, Tanta University, Egypt
| | - Loai El Ahwal
- 1Department of Internal Medicine, Faculty of Medicine, Tanta University, Egypt
| | - Amal Selim
- 1Department of Internal Medicine, Faculty of Medicine, Tanta University, Egypt
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Mosad AS, Elfadil GA, Gassoum A, Elamin KM, Husain NEOSA. Adiponectin Gene Polymorphisms and Possible Susceptibility to Metabolic Syndrome among the Sudanese Population: A Case-Control Study. Int J Endocrinol 2023; 2023:5527963. [PMID: 37151957 PMCID: PMC10159738 DOI: 10.1155/2023/5527963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/08/2023] [Accepted: 04/18/2023] [Indexed: 05/09/2023] Open
Abstract
Results There is a significant difference in genotypic frequencies of the rs266729, rs2241766, and rs1501299 SNPs and allele frequencies (P < 0.05) between the MetS patients and non-MetS group. MetS patients had a significantly higher serum triglycerides (TG), total cholesterol (TC), and low-density lipoprotein-cholesterol (LDL-C) in the GG genotype of rs2241766 (P < 0.05). Additionally; the TT genotype of rs1501299 had higher SBP, serum TG, TC, and LDL-C (P < 0.05). Multivariate logistic regression analysis showed hypertension, hyperglycemia, BMI, WC, serum TG, ADIPOQ rs2241766 (TG allele), and ADIPOQ rs1501299 (GT allele) had independently predicted the incidence of metabolic syndrome in the Sudanese population. The three investigated SNPs of ADIPOQ were in a moderate linkage disequilibrium (LD) connection according to the LD measures (D' = 0.54, 0.62, and 0.69, respectively). The CTT, CGG, and GTG haplotypes, which consist of three alleles of -11377C > G, +45T > G, and +276G > T, were shown to report 1.788-, 1.622,- and 1.641-fold risks toward MetS susceptibility in Sudanese's population, respectively. Conclusion Along with clinical and biochemical signs, the ADIPOQ gene's genetic variants (rs266729, rs2241766, and rs1501299), CTT, CGG, and GTG haplotypes are connected to the MetS risk among the Sudanese population.
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Affiliation(s)
- Altaf S. Mosad
- Department of Clinical Chemistry, College of Medical Laboratory Science, Sudan University of Science and Technology, Khartoum, Sudan
| | - Ghada A. Elfadil
- Department of Clinical Chemistry, College of Medical Laboratory Science, Sudan University of Science and Technology, Khartoum, Sudan
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12
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Gulbahar A, Caglar GS, Arslanca T. Evaluation of visceral adiposity index with cardiovascular risk factors, biomarkers in postmenopausal women to predict cardiovascular disease: A 10 year study. Exp Gerontol 2022; 170:111986. [PMID: 36280092 DOI: 10.1016/j.exger.2022.111986] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 10/09/2022] [Accepted: 10/18/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND AIM Visceral adiposity index (VAI) is reportedly beneficial in predicting cardiovascular disease (CVD) and metabolic syndrome (MetS). However, long-term studies analyzing the efficacy of VAI in the prediction of CVD risk are limited. The relationship between VAI and electrolytes is unclear. This study aimed to determine if VAI can be used as a predictor of CVD and provide early diagnosis possibility for future CVD patients. Moreover, the impact of biomarkers and electrolytes on VAI therefore indirect relation to CVD was analyzed. METHODS Postmenopausal women (aged >40 years) admitted to our hospital in 2011 were included and categorized into two groups according to their VAI scores: mild/moderate and severe. Groups were compared with insulin resistance, biochemical parameters, and anthropometric measurements. Patients have been reached out after 10 years and questioned for additional disease and cardiovascular risk. Statistical Package for Social Sciences (SPSSv22.0) was used for data analysis. The p < 0.05 value was considered significant. RESULTS Mean VAI score of patients with MetS (7.30 ± 4.75) was significantly higher than without MetS (2.95 ± 1.05) (p < 0.01). Serum magnesium level was found significantly lower in the severe group. Serum zinc (Zn) and hsCRP levels were higher in the severe group. Correlation analysis showed significant positive correlations between VAI scores and total cholesterol (r = 0.289, p < 0.05), Zn (r = 0.397, p < 0.01), fasting insulin (r = 0.455, p < 0.01) and no significant association with the 10-year CVD incidence (OR: 1.034 (0.888-1.203); p = 0.668). CONCLUSION Previous VAI results cannot assist in predicting the 10-year CVD risk. Additionally, including measurements of serum Zn, total cholesterol, fasting insulin, and FBG levels are reasonable approach for managing postmenopausal women with unfavorable CVD risk profiles.
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Affiliation(s)
- Aysegul Gulbahar
- Department of Obstetrics and Gynecology, Izmir Katip Celebi University, Ataturk Training and Research Hospital, Izmir, Turkey.
| | - Gamze Sinem Caglar
- Department of Obstetrics and Gynecology, Ufuk University Faculty of Medicine, Ankara, Turkey
| | - Tufan Arslanca
- Department of Obstetrics and Gynecology, Ufuk University Faculty of Medicine, Ankara, Turkey
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13
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Jian LY, Guo SX, Ma RL, He J, Rui DS, Ding YS, Li Y, Sun XY, Mao YD, He X, Liao SY, Guo H. Comparison of obesity-related indicators for identifying metabolic syndrome among normal-weight adults in rural Xinjiang, China. BMC Public Health 2022; 22:1730. [PMID: 36096754 PMCID: PMC9469584 DOI: 10.1186/s12889-022-14122-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/01/2022] [Indexed: 12/01/2022] Open
Abstract
Background This study aimed to compare the ability of certain obesity-related indicators to identify metabolic syndrome (MetS) among normal-weight adults in rural Xinjiang. Methods A total of 4315 subjects were recruited in rural Xinjiang. The questionnaire, biochemical and anthropometric data were collected from them. Binary logistic regression was used to analyze the association between the z-score of each index and MetS. The area under the receiver-operating characteristic (ROC) curves were used to compare the diagnostic ability of each index. According to the cut-off value of each index, nomogram models were established and their diagnostic ability were evaluated. Results After adjusting for confounding factors, each indicator in different genders was correlated with MetS. Triglyceride-glucose index (TyG index) showed the strongest association with MetS in both males (OR = 3.749, 95%CI: 3.173–4.429) and females (OR = 3.521,95%CI: 2.990–4.148). Lipid accumulation product (LAP) showed the strongest diagnostic ability in both males (AUC = 0.831, 95%CI: 0.806–0.856) and females (AUC = 0.842, 95%CI: 0.820–0.864), and its optimal cut-off values were 39.700 and 35.065, respectively. The identification ability of the TyG index in different genders (males AUC: 0.817, females AUC: 0.817) was slightly weaker than LAP. Waist-to-height ratio (WHtR) had the similar AUC (males: 0.717, females: 0.747) to conicity index (CI) (males: 0.734, females: 0.749), whereas the identification ability of a body shape index (ABSI) (males AUC: 0.700, females AUC: 0.717) was relatively weak. Compared with the diagnostic ability of a single indicator, the AUC of the male nomogram model was 0.876 (95%CI: 0.856–0.895) and the AUC of the female model was 0.877 (95%CI: 0.856–0.896). The identification ability had been significantly improved. Conclusion LAP and TyG index are effective indicators for identifying MetS among normal-weight adults in rural Xinjiang. Nomogram models including age, CI, LAP, and TyG index can significantly improve diagnostic ability.
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Affiliation(s)
- Le-Yao Jian
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China
| | - Shu-Xia Guo
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China
| | - Ru-Lin Ma
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China
| | - Jia He
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China
| | - Dong-Sheng Rui
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China
| | - Yu-Song Ding
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China
| | - Yu Li
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China
| | - Xue-Ying Sun
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China
| | - Yi-Dan Mao
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China
| | - Xin He
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China
| | - Sheng-Yu Liao
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China
| | - Heng Guo
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, Xinjiang, 832003, China. .,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
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14
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Zhang X, Hong F, Liu L, Nie F, Du L, Guan H, Wang Z, Zeng Q, Yang J, Wang J, Li X, Zhang J, Luo P. Lipid accumulation product is a reliable indicator for identifying metabolic syndrome: the China Multi-Ethnic Cohort (CMEC) Study. QJM 2022; 115:140-147. [PMID: 33367838 DOI: 10.1093/qjmed/hcaa325] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 11/13/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Previous studies have shown that lipid accumulation product (LAP) was associated with the risk of cardiometabolic disease. It is not clear whether LAP could be used as a marker to identify metabolic syndrome (MetS) among Chinese ethnic groups. AIM To assess the reliability of LAP as a maker to identify MetS among Dong adults. DESIGN Population-based cross-sectional study. METHOD We included 6494 Dong individuals (1403 patients) aged 30-79 years from southwest China. MetS was established by Chinese Diabetes Society. Logistic regression model was utilized to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic (ROC) curve was utilized to calculate area under the ROC curve (AUC) and 95% CIs to obtain the identification ability for MetS. RESULTS The risk of MetS was increased with per 5 units increase of LAP (OR 1.37 [95% CI, 1.34-1.39]). Similar results were found in subgroup analyses and sensitivity analyses. Clustered metabolic risk associated with per 5 units increase of LAP was observed for people with 1 (OR 1.59 [95% CI, 1.53-1.65]), 2 (2.15 [2.06-2.24]), 3 (2.59 [2.48-2.71]), 4 (2.81 [2.69-2.95]) and 5 (3.03 [2.87-3.21]) MetS components. LAP presented higher AUC (0.915 [95% CI, 0.907-0.923]) than other included obesity indices (P < 0.05). CONCLUSION These data support evidence that LAP was related to the risk of MetS, had a high AUC and could be a reliable index for identifying MetS patients among Dong adults in Chinese.
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Affiliation(s)
- X Zhang
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - F Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - L Liu
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - F Nie
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - L Du
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - H Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - Z Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - Q Zeng
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - J Yang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - J Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - X Li
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - J Zhang
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- Health Bureau of Yunyan District, Beijing East Road, Guiyang 550003, People's Republic of China
| | - P Luo
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
- State Key Laboratory of Function and Application of Medicinal Plants, Guizhou Medical University, Dongqing Road, Guiyang 550014, People's Republic of China
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15
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Metabolic Obesity in People with Normal Body Weight (MONW)-Review of Diagnostic Criteria. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19020624. [PMID: 35055447 PMCID: PMC8776153 DOI: 10.3390/ijerph19020624] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/26/2021] [Accepted: 01/04/2022] [Indexed: 12/12/2022]
Abstract
Disorders of metabolic obesity with normal body weight (MONW) are widely recognized risk factors for the development of cardiovascular diseases and type 2 diabetes. Despite this, MONW is not diagnosed in clinical practice. There is no consensus on the definition of MONW, and measuring the degree of insulin resistance or obesity among apparently healthy, non-obese patients is not widely applicable. The awareness of the relationship between metabolic disorders such as MONW and a higher risk of mortality from cardiovascular causes and other related diseases prompts the need for action to be taken aimed at creating appropriate diagnostic models that will allow for the effective detection of those with metabolic abnormalities among people with normal body weight. Such actions are decisive in the prevention and treatment of diseases. Therefore, the purpose of this article is to review the MONW diagnostic criteria used over the years.
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16
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Duan Y, Zhang W, Li Z, Niu Y, Chen Y, Liu X, Dong Z, Zheng Y, Chen X, Feng Z, Wang Y, Zhao D, Liu Q, Li H, Peng H, Sun X, Cai G, Jiang H, Chen X. Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults. Front Endocrinol (Lausanne) 2022; 13:1016581. [PMID: 36465613 PMCID: PMC9715593 DOI: 10.3389/fendo.2022.1016581] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/31/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Metabolic syndrome (MetS) is an important risk factor for cardiovascular complications and kidney damage. Obesity- and lipid-related indices are closely related to MetS, and different indices have different predictive abilities for MetS. This study aimed to evaluate the predictive value of eight obesity- and lipid-related indicators, namely, body mass index (BMI), lipid accumulation product (LAP), body roundness index (BRI), Chinese visceral adiposity index (CVAI), body adiposity index (BAI), abdominal volume index (AVI), triglyceride glucose index (TYG), and visceral adiposity index (VAI), for MetS. METHODS A total of 1,452 relatively healthy people in Beijing were enrolled in 2016, and the correlation between the eight indicators and MetS was analyzed by multivariate logistic regression. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to analyze the predictive ability of the eight indicators for MetS. The Delong test was used to compare the AUC values of the eight indicators. MetS was defined according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2020 edition), the revised National Cholesterol Education Program Adult Treatment Group (NCEP-ATPIII), and the International Diabetes Federation (IDF). RESULTS Using these three sets of criteria, LAP, TYG, CVAI, and VAI, which are based on blood lipids, had higher AUC values for MetS prediction than BMI, BRI, AVI, and BAI, which are based on anthropometry. LAP had the highest AUC values of 0.893 (0.874-0.912), 0.886 (0.869-0.903), and 0.882 (0.864-0.899), separately, based on the three sets of criteria. CONCLUSION The eight obesity- and lipid-related indicators had screening value for MetS in relatively healthy people, and of the eight indicators, LAP performed the best.
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Affiliation(s)
- Yuting Duan
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Weiguang Zhang
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Zhe Li
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Yue Niu
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Yizhi Chen
- Department of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Hainan Province Academician Team Innovation Center, Sanya, China
| | - Xiaomin Liu
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Zheyi Dong
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Ying Zheng
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Xizhao Chen
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Zhe Feng
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Yong Wang
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Delong Zhao
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Qiu Liu
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Hangtian Li
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Huifang Peng
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Xuefeng Sun
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Guangyan Cai
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
| | - Hongwei Jiang
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
- *Correspondence: Hongwei Jiang, ; Xiangmei Chen,
| | - Xiangmei Chen
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing, China
- *Correspondence: Hongwei Jiang, ; Xiangmei Chen,
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Predicting metabolic syndrome by visceral adiposity index, body roundness index, dysfunctional adiposity index, lipid accumulation product index, and body shape index in adults. NUTR HOSP 2022; 39:794-802. [DOI: 10.20960/nh.03966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
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18
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Kałużna M, Czlapka-Matyasik M, Kompf P, Moczko J, Wachowiak-Ochmańska K, Janicki A, Samarzewska K, Ruchała M, Ziemnicka K. Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome. Ther Adv Endocrinol Metab 2022; 13:20420188211066699. [PMID: 35035875 PMCID: PMC8755932 DOI: 10.1177/20420188211066699] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 11/22/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS. METHODS This cross-sectional study involved 596 women aged 18-40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria. RESULTS MS prevalence was significantly higher in PCOS versus CON. Patients with both MS and PCOS had more unfavorable anthropometric, hormonal, and metabolic profiles versus those with neither MS nor PCOS and versus CON with MS. LAP, TG/HDL-C, VAI, and WHtR were the best markers and strongest indicators of MS in PCOS, and their cut-off values could be useful for early MS detection. MS risk in PCOS increased with elevated levels of these markers and was the highest when TG/HDL-C was used. CONCLUSIONS LAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers.
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Affiliation(s)
| | | | - Pola Kompf
- Department of Endocrinology, Metabolism and
Internal Diseases, Poznan University of Medical Sciences, Poznan,
Poland
| | - Jerzy Moczko
- Department of Computer Science and Statistics,
Poznan University of Medical Sciences, Poznan, Poland
| | | | - Adam Janicki
- Heliodor Świȩcicki Clinical Hospital, Poznan,
Poland
| | - Karolina Samarzewska
- Department of Clinical Auxiology and Pediatric
Nursing, Poznan University of Medical Sciences, Poznan, Poland
| | - Marek Ruchała
- Department of Endocrinology, Metabolism and
Internal Diseases, Poznan University of Medical Sciences, Poznan,
Poland
| | - Katarzyna Ziemnicka
- Department of Endocrinology, Metabolism and
Internal Diseases, Poznan University of Medical Sciences, Poznan,
Poland
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19
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Zuo YQ, Gao ZH, Yin YL, Yang X, Feng PY. Association Between the Cardiometabolic Index and Hyperuricemia in an Asymptomatic Population with Normal Body Mass Index. Int J Gen Med 2021; 14:8603-8610. [PMID: 34849005 PMCID: PMC8627282 DOI: 10.2147/ijgm.s340595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/11/2021] [Indexed: 12/12/2022] Open
Abstract
Background and Purpose The association between the cardiometabolic index (CMI) and hyperuricemia was investigated to provide theoretical support for the management of hyperuricemia in an asymptomatic population with normal body mass index (BMI). Methods A cross-sectional study was carried out among 374 asymptomatic adults with normal BMI. Traditional anthropometric indices and CMI were calculated. Anthropometric indices were divided into four quartiles and multivariate logistic analysis was used to analyze the association between these indices and hyperuricemia. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate the power of the indices to predict hyperuricemia values. The DeLong test was used to compare the AUC of different anthropometric indices. Results After adjusting for confounding variables, the CMI exhibited a stronger association with hyperuricemia than other anthropometric indices. The odds ratio (OR) for hyperuricemia in the highest quartile of the CMI was 16.674 (confidence interval [CI]=4.424–62.846). The AUC of the CMI was 0.777 (95% CI=0.719–0.835, p<0.001), which was higher than the values for other anthropometric indices. The differences in AUC between the CMI and other indices were statistically significant; the optimal cutoff value of the CMI was 0.655, with sensitivity of 57.1% and specificity of 84.2%. Conclusion The CMI, which combines waist circumference, height and blood lipid parameters, was more strongly associated with hyperuricemia than other anthropometric indices in asymptomatic population with normal BMI. The CMI may serve as a potential monitoring indicator for hyperuricemia management in asymptomatic populations with normal BMI.
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Affiliation(s)
- Yu-Qiang Zuo
- Department of Health Physical Examination Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Zhi-Hong Gao
- Department of Health Physical Examination Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Yu-Ling Yin
- Department of Health Physical Examination Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Xu Yang
- Department of Health Physical Examination Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Ping-Yong Feng
- Department of Imaging Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
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20
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Alvero-Cruz JR, Fernández Vázquez R, Martínez Blanco J, Diaz AJ, Rosety I, Rosety MA, Rosety-Rodriguez M, Ordonez FJ. Sex differences for predicting metabolic syndrome by adipose dysfunction markers in institutionalized elderly. Eur J Cardiovasc Nurs 2021; 20:534-539. [PMID: 33580770 DOI: 10.1093/eurjcn/zvaa036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 11/05/2020] [Accepted: 12/19/2020] [Indexed: 11/13/2022]
Abstract
AIMS Recent studies have emphasized that metabolic syndrome (MetS) was the most important modifiable risk factor for cardiovascular and cerebrovascular diseases in the institutionalized elderly. In addition, the occurrence of MetS was higher in those with longer age-adjusted institutionalization time. The present study was conducted to assess predictive value of markers of adipose tissue dysfunction for the early screening of MetS in this population. METHODS AND RESULTS Two hundred and eleven institutionalized older adults (132 women, aged 74.3 ± 7.3 years; 79 men, aged 71.5 ± 7.3 years) were enrolled in the current cross-sectional study. Lipid accumulation product (LAP), visceral adiposity index (VAI), body adiposity index (BAI), and triglycerides (TG)/high-density lipoprotein (HDL)-cholesterol ratio were determined. The receiver operating characteristic curve was calculated to compare the area under the curve of each index. The total prevalence of MetS was 23.8%. In female group, VAI and TG/HDL ratio presented moderate-high sensitivity (77.78% and 78.38%, respectively) and specificity (77.62% and 73.49%, respectively). In males group, LAP presented moderate-high sensitivity (75%) and specificity (76.9%). CONCLUSION Gender played a key role on the prediction of MetS by adipose dysfunction markers in institutionalized elderly. Accordingly, VAI and TG/HDL-cholesterol ratio showed the highest predictive value for MetS in female elderly. LAP was the strongest predictor of MetS in male elderly.
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Affiliation(s)
| | | | | | | | - Ignacio Rosety
- School of Medicine, University of Cádiz, Plaza Fragela s/n 11003, Cádiz, Spain
| | - Miguel Angel Rosety
- School of Medicine, University of Cádiz, Plaza Fragela s/n 11003, Cádiz, Spain
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21
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Biguanides drugs: Past success stories and promising future for drug discovery. Eur J Med Chem 2021; 224:113726. [PMID: 34364161 DOI: 10.1016/j.ejmech.2021.113726] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 07/27/2021] [Accepted: 07/27/2021] [Indexed: 12/13/2022]
Abstract
Biguanides have attracted much attention a century ago and showed resurgent interest in recent years after a long period of dormancy. They constitute an important class of therapeutic agents suitable for the treatment of a wide spectrum of diseases. Therapeutic indications of biguanides include antidiabetic, antimalarial, antiviral, antiplaque, and bactericidal applications. This review presents an extensive overview of the biological activity of biguanides and different mechanisms of action of currently marketed biguanide-containing drugs, as well as their pharmacological properties when applicable. We highlight the recent developments in research on biguanide compounds, with a primary focus on studies on metformin in the field of oncology. We aim to provide a critical overview of all main bioactive biguanide compounds and discuss future perspectives for the design of new drugs based on the biguanide fragment.
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22
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Bijari M, Jangjoo S, Emami N, Raji S, Mottaghi M, Moallem R, Jangjoo A, Saberi A. The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis. Int J Endocrinol 2021; 2021:6684627. [PMID: 34354748 PMCID: PMC8331306 DOI: 10.1155/2021/6684627] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 06/01/2021] [Accepted: 07/19/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND AND AIMS Visceral adiposity index (VAI) is a novel marker of fat distribution and function which incorporates both anthropometric and laboratory measures. Recently, several studies have suggested VAI as a screening tool for metabolic syndrome (MetS). Here, we aimed to consolidate the results of these studies by performing a systematic review and meta-analysis. METHODS AND RESULTS We searched PubMed and EMBASE online databases for eligible studies that investigated the association of VAI and MetS. After reviewing 294 records, we included 33 eligible papers with a sum of 20516 MetS and 53242 healthy participants. The risk of bias in the included studies was assessed, and the relevant data was extracted. All included studies reported a significant association between VAI and MetS screening, but were highly heterogeneous in their reported effects. We pooled the diagnostic test accuracy metrics of VAI for MetS screening and showed that it has a moderate-to-high accuracy with an area under the summary receiver operating characteristics curve of 0.847, a pooled sensitivity of 78%, and a pooled specificity of 79%. Besides, we pooled the difference in means of VAI between patients with MetS and healthy controls, revealing that VAI was 2.15 units higher in MetS patients. CONCLUSIONS VAI is an accurate, low-cost, and widely available screening marker for MetS. However, further studies are needed to evaluate its applicability in clinical practice, determine an optimal cut-off, and identify populations that would benefit the most from it.
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Affiliation(s)
- Moniba Bijari
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sara Jangjoo
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Nima Emami
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sara Raji
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahdi Mottaghi
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Roya Moallem
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ali Jangjoo
- Surgical Oncology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amin Saberi
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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23
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Liu X, Wu Q, Yan G, Duan J, Chen Z, Yang P, Bragazzi NL, Lu Y, Yuan H. Cardiometabolic index: a new tool for screening the metabolically obese normal weight phenotype. J Endocrinol Invest 2021; 44:1253-1261. [PMID: 32909175 DOI: 10.1007/s40618-020-01417-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 09/01/2020] [Indexed: 12/18/2022]
Abstract
PURPOSE People with the metabolically obese normal weight (MONW) phenotype are considered as an extremely high-risk group for unfavorable health consequences, but they are frequently undetected due to deceptive body mass index (BMI) and complex assessment. This study aimed to explore the clinical usefulness of cardiometabolic index (CMI) in identifying MONW individuals. METHODS This cross-sectional study involved a total of 47,683 normal-weight subjects aged ≥ 18 years. Participants underwent anthropometrics, routine biochemical tests, and questionnaires for a full evaluation of the metabolic profile. The odds ratio (OR) of CMI and MONW phenotype was determined by the Logistic regression models and the diagnostic accuracy of CMI was evaluated by the receiver operating characteristic (ROC) curve analysis. RESULTS The prevalence of MONW phenotype was 11.0%. After multivariate adjustment, the ORs for MONW in the highest compared with the lowest quartile of CMI was 71.20 (95% CI 55.19-91.86), and 1-SD increment of CMI brought a 54% additional risk. In ROC analysis, compared with BMI and waist circumference, CMI showed superior performance for identifying MONW individuals with an AUC of 0.853 (95% CI 0.847-0.860) in men and 0.912 (95% CI 0.906-0.918) in women, respectively. Moreover, CMI exhibited the highest diagnostic accuracy in younger age groups (aged 18-34 for men; aged 18-34 and 35-44 for women), in which AUCs surpassed 0.9 in both sexes. CONCLUSIONS CMI could be served as a valuable indicator to identify MONW phenotype of Chinese adults, particularly for young people.
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Affiliation(s)
- X Liu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China
| | - Q Wu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China
| | - G Yan
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China
| | - J Duan
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China
| | - Z Chen
- Department of Health Examination Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - P Yang
- Department of Health Examination Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - N L Bragazzi
- Centre for Disease Modelling, York University, Toronto, ON, Canada
| | - Y Lu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China.
- Key Laboratory of Medical Information Research, Central South University, Changsha, Hunan, China.
- National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology, Changsha, Hunan, China.
| | - H Yuan
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China.
- Key Laboratory of Medical Information Research, Central South University, Changsha, Hunan, China.
- National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology, Changsha, Hunan, China.
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24
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Jeong SH, Jang BN, Kim SH, Jang SI, Park EC. Investigation of the Association between Smoking Behavior and Metabolic Syndrome Using Lipid Accumulation Product Index among South Korean Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:4151. [PMID: 33919954 PMCID: PMC8070901 DOI: 10.3390/ijerph18084151] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/23/2021] [Accepted: 04/09/2021] [Indexed: 01/01/2023]
Abstract
Electronic cigarette vaping has recently been chosen as a smoking alternative for those who want to quit smoking, but some of the electronic cigarette users use both traditional and electronic cigarettes (dual smoking) without stopping smoking. This study investigated the association between smoking behavior and metabolic syndrome among Korean adults. Data from 14,607 participants (6142 males and 8465 females) were examined. They were divided into four categories: dual smoking (both conventional and e-cigarettes), single smoking (only conventional cigarettes), previously smoking, and non-smoking. Metabolic syndrome risk was calculated as a continuous variable using the lipid accumulation product (LAP) index. Multiple linear regression analyses were performed to examine the association of log-transformed LAP with smoking behavior. Among the total participants, 187 males and 35 females were dual smokers and 1850 males and 372 females were single smokers. LAP was significantly higher in male who practiced dual and single smoking than LAP of non-smokers-dual: β = 0.27, standard error (SE) = 0.06, p < 0.0001; single: β = 0.18, SE = 0.03, p < 0.0001. In female, LAP was significantly higher among those who practiced only single smoking than LAP of non-smokers (β = 0.21, SE = 0.04, p < 0.0001). Dual and single smoking were significantly associated with higher LAP, a strong predictor of metabolic syndrome. Further studies and awareness regarding the adverse effects of dual smoking are required.
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Affiliation(s)
- Sung Hoon Jeong
- Department of Public Health, Graduate School, Yonsei University, Seoul 03722, Korea; (S.H.J.); (B.N.J.)
- Institute of Health Services Research, Yonsei University, Seoul 03722, Korea; (S.H.K.); (S.-I.J.)
| | - Bich Na Jang
- Department of Public Health, Graduate School, Yonsei University, Seoul 03722, Korea; (S.H.J.); (B.N.J.)
- Institute of Health Services Research, Yonsei University, Seoul 03722, Korea; (S.H.K.); (S.-I.J.)
| | - Seung Hoon Kim
- Institute of Health Services Research, Yonsei University, Seoul 03722, Korea; (S.H.K.); (S.-I.J.)
- Department of Preventive Medicine, College of Medicine, Yonsei University, Seoul 03722, Korea
| | - Sung-In Jang
- Institute of Health Services Research, Yonsei University, Seoul 03722, Korea; (S.H.K.); (S.-I.J.)
- Department of Preventive Medicine, College of Medicine, Yonsei University, Seoul 03722, Korea
| | - Eun-Cheol Park
- Institute of Health Services Research, Yonsei University, Seoul 03722, Korea; (S.H.K.); (S.-I.J.)
- Department of Preventive Medicine, College of Medicine, Yonsei University, Seoul 03722, Korea
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25
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Li JY, Yang J, Qi XY, Luo YH, Wang YD, Liao ZZ, Ran L, Xiao XH, Liu JH. Prospective Association of Novel Metabolic Indices with Metabolic Syndrome in Middle-Aged and Elderly Chinese. Diabetes Metab Syndr Obes 2021; 14:2427-2430. [PMID: 34093029 PMCID: PMC8168968 DOI: 10.2147/dmso.s288081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 01/26/2021] [Indexed: 11/23/2022] Open
Affiliation(s)
- Jiao-Yang Li
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
| | - Jing Yang
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
| | - Xiao-Yan Qi
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
| | - Yan-Hua Luo
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
| | - Ya-Di Wang
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
| | - Zhe-Zhen Liao
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
| | - Li Ran
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
| | - Xin-Hua Xiao
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
| | - Jiang-Hua Liu
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan Province, People’s Republic of China
- Correspondence: Jiang-Hua Liu; Xin-Hua Xiao Email ;
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Yin Q, Zheng J, Cao Y, Yan X, Zhang H. Evaluation of Novel Obesity and Lipid-Related Indices as Indicators for the Diagnosis of Metabolic Syndrome and Premetabolic Syndrome in Chinese Women with Polycystic Ovary Syndrome. Int J Endocrinol 2021; 2021:7172388. [PMID: 34457001 PMCID: PMC8387166 DOI: 10.1155/2021/7172388] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/04/2021] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES According to the International Diabetes Federation (IDF) criteria, previous studies in Chinese women with polycystic ovary syndrome (PCOS) reported a low prevalence of metabolic syndrome (MS); however, the same population predisposed to developing pre-MS. Early identification and treatment of individuals with MS and pre-MS are imperative to prevent their adverse consequences. Moreover, fasting plasma glucose (FPG) was not accurate in detecting pathoglycemia in women with PCOS as they have shown characteristically postprandial abnormalities in the carbohydrate metabolism. Therefore, we aimed to compare the discriminative performance of various indices for identifying MS and pre-MS/MS (pre-MS and MS) using the updated Chinese Diabetes Society (uCDS) criteria in Chinese women with PCOS. METHODS 1083 Chinese women with PCOS were included in this study. We measured and evaluated 8 indices in all individuals. Based on the uCDS criteria for MS, patients who had no less than two components of MS but did not meet the criteria for the diagnosis of MS were considered as having pre-MS. Receiver operating characteristic (ROC) curves and the area under ROC curves (AUCs) levels were used to assess the accuracy of each index in detecting MS and pre-MS/MS. RESULTS Among the 8 indices assessed, the lipid accumulation product (LAP) provided the highest AUCs for detecting MS and pre-MS/MS, followed by CVAI, WTI, VAI, TyG, TG/HDL, WC, and BMI. The optimal cutoff points determined for LAP were 45.13 (sensitivity 88.0%, specificity 88.4%, and Youden index 0.764) for MS and 28.01 (sensitivity 87.5%, specificity 80.7%, and Youden index 0.681) for pre-MS/MS, respectively. CONCLUSIONS uCDS criteria are reasonably more suitable for detecting MS and pre-MS in Chinese women with PCOS. Based on this criterion, LAP is the best index for the diagnosis of MS and pre-MS/MS in Chinese women with PCOS, out of the 8 obesity and lipid-related indices assessed.
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Affiliation(s)
- Qianqian Yin
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Soochow University, No. 1055, Sanxiang Road, Suzhou, Jiangsu 215000, China
- Center for Reproductive Medicine, XuZhou Central Hospital, No. 199, Jiefang Road, Xuzhou, Jiangsu 221009, China
| | - Jianhua Zheng
- Department of Obstetrics and Gynecology, XuZhou Central Hospital, No. 199, Jiefang Road, Xuzhou, Jiangsu 221009, China
| | - Yijuan Cao
- Center for Reproductive Medicine, XuZhou Central Hospital, No. 199, Jiefang Road, Xuzhou, Jiangsu 221009, China
| | - Xiaonan Yan
- Center for Reproductive Medicine, XuZhou Central Hospital, No. 199, Jiefang Road, Xuzhou, Jiangsu 221009, China
| | - Hong Zhang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Soochow University, No. 1055, Sanxiang Road, Suzhou, Jiangsu 215000, China
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Li X, Li HY, Yu ZW, Zhang YT, Tong XW, Gao XY. Association Among Lipid Accumulation Product, Chinese Visceral Obesity Index and Diabetic Retinopathy in Patients with Type 2 Diabetes: A Cross-Sectional Study. Diabetes Metab Syndr Obes 2021; 14:4971-4979. [PMID: 35002269 PMCID: PMC8721021 DOI: 10.2147/dmso.s348195] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 12/23/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND AND AIM Obesity often coexists with diabetes, especially abdominal obesity, recognized as a risk factor for diabetic complications. Diabetic retinopathy (DR), as one of the most common microvascular complications of diabetes, may be associated with these indices. Lipid accumulation product (LAP) and Chinese visceral obesity index (CVAI) are novel visceral obesity indicators, which have been proven to be an influential factor predicting type 2 diabetes (T2DM). However, the correlation among LAP, CVAI, and DR still lacks systematic research in T2DM. The study aimed to explore the relationship among LAP, CVAI levels in different DR stages of T2DM patients and the diagnostic efficacy of LAP and CVAI for DR. METHODS A total of 263 participants were recruited in this cross-sectional study. We enrolled 169 patients with T2DM, divided into the non-DR group (NDR, n = 61), non-proliferative DR group (NPDR, n = 55), and proliferative DR group (PDR, n = 53). And we also enrolled 94 healthy control participants. We collected demographic, anthropometric, and biochemical data on each subject. LAP and CVAI are calculated according to different formulas for men and women. RESULTS Compared with the control group, LAP and CVAI were significantly higher (P < 0.05). After adjusting for confounding factors, LAP (OR: 1.029, 95CI%: 1.010-1.049, P < 0.05), WC (OR: 1.073, 95CI%: 1.009-1.141, P < 0.05) and CVAI (OR: 1.017, 95CI%: 1.000-1.033, P < 0.05) were all associated with an increased risk of DR. Furthermore, increased LAP (OR: 1.020, 95% CI: 0.100-0.290) is associated with DR severity (P < 0.001). Moreover, the LAP had the most significant area under the receiver operating characteristics (ROC) curve (AUC) (AUC = 0.728, 95% CI: 0.653-0.804). CONCLUSION A high LAP is associated with an increased risk of DR in T2DM patients, and the LAP index appears to be a good predictor of DR risk and severity in patients with T2DM, compared with BMI, WC, and CVAI.
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Affiliation(s)
- Xin Li
- The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of China
| | - Hui-Yao Li
- The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of China
| | - Zi-Wei Yu
- The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of China
| | - Yi-Tong Zhang
- The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of China
| | - Xue-Wei Tong
- The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of China
| | - Xin-Yuan Gao
- The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of China
- Correspondence: Xin-Yuan Gao Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of ChinaTel +86 13904517001 Email
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Alves MA, Lamichhane S, Dickens A, McGlinchey A, Ribeiro HC, Sen P, Wei F, Hyötyläinen T, Orešič M. Systems biology approaches to study lipidomes in health and disease. Biochim Biophys Acta Mol Cell Biol Lipids 2020; 1866:158857. [PMID: 33278596 DOI: 10.1016/j.bbalip.2020.158857] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/13/2020] [Accepted: 11/27/2020] [Indexed: 12/15/2022]
Abstract
Lipids have many important biological roles, such as energy storage sources, structural components of plasma membranes and as intermediates in metabolic and signaling pathways. Lipid metabolism is under tight homeostatic control, exhibiting spatial and dynamic complexity at multiple levels. Consequently, lipid-related disturbances play important roles in the pathogenesis of most of the common diseases. Lipidomics, defined as the study of lipidomes in biological systems, has emerged as a rapidly-growing field. Due to the chemical and functional diversity of lipids, the application of a systems biology approach is essential if one is to address lipid functionality at different physiological levels. In parallel with analytical advances to measure lipids in biological matrices, the field of computational lipidomics has been rapidly advancing, enabling modeling of lipidomes in their pathway, spatial and dynamic contexts. This review focuses on recent progress in systems biology approaches to study lipids in health and disease, with specific emphasis on methodological advances and biomedical applications.
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Affiliation(s)
- Marina Amaral Alves
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku 20520, Finland
| | - Santosh Lamichhane
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku 20520, Finland
| | - Alex Dickens
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku 20520, Finland
| | - Aidan McGlinchey
- School of Medical Sciences, Örebro University, 702 81 Örebro, Sweden
| | | | - Partho Sen
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku 20520, Finland; School of Medical Sciences, Örebro University, 702 81 Örebro, Sweden
| | - Fang Wei
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, PR China
| | | | - Matej Orešič
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku 20520, Finland; School of Medical Sciences, Örebro University, 702 81 Örebro, Sweden.
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Khlifi R, Dhaouefi Z, Toumia IB, Lahmar A, Sioud F, Bouhajeb R, Bellalah A, Chekir-Ghedira L. Erica multiflora extract rich in quercetin-3-O-glucoside and kaempferol-3-O-glucoside alleviates high fat and fructose diet-induced fatty liver disease by modulating metabolic and inflammatory pathways in Wistar rats. J Nutr Biochem 2020; 86:108490. [PMID: 32920086 DOI: 10.1016/j.jnutbio.2020.108490] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/28/2020] [Accepted: 08/13/2020] [Indexed: 12/17/2022]
Abstract
The wide morbidity of obesity has heightened interest in providing natural and safe compounds to maintain optimal health. The present study was designed to determine the chemical constituents and the effects of methanol leaf extract from Erica multiflora (M-EML) on mitigating high-fat and high-fructose diet (HFFD)-induced metabolic syndrome (MS). LC-MS/MS characterization of M-EML allowed the identification of 14 secondary metabolites and showed that quercetin-3-O-glucoside and kaempferol-3-O-glucoside were the main compounds of our extract. In the in vivo study, the oral administration of M-EML (250 mg/kg) during the last 4 weeks of the experimentation alleviated HFFD-induced obesity, insulin resistance (IR) and cardiovascular diseases. Thus, M-EML treatment significantly normalized body and liver weight, allowed to a sharp decline in plasma levels of TC, TG and LDL-c by 32%, 35% and 66%, respectively. Moreover, hepatic enzymes, total and direct bilirubin, lipase and uric acid levels have been diminished in treated group. Histopathology of the liver confirmed the changes induced by HFFD and the hepatoprotective effect of M-EML. The supply of M-EML reduced NO production and cellular lysosomal enzyme activity by 44% and 60%, respectively compared to HFFD. Besides, M-EML showed decreased pro-inflammatory cytokines levels (259.5±47.35 pg/ml and 56.08±1.56 pg/ml) of TNF-α and IL-6, respectively. In addition, M-EML reduced liver malondialdehyde (MDA) content and enhanced superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) activities. In contrast, these enzymatic activities have been disrupted in HFFD rats. Overall, M-EML prevented obesity through the modulation of metabolic syndrome, reducing inflammation and promoting antioxidant enzymes activities.
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Affiliation(s)
- Rihab Khlifi
- Unity of Bioactive and Natural Substances and Biotechnology UR17ES49, Faculty of Dental Medicine, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia; Higher Institute of Biotechnology of Monastir, Avenue Tahar Hadded, BP 74, 5000 Monastir, Tunisia.
| | - Zaineb Dhaouefi
- Unity of Bioactive and Natural Substances and Biotechnology UR17ES49, Faculty of Dental Medicine, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia
| | - Imène Ben Toumia
- Unity of Bioactive and Natural Substances and Biotechnology UR17ES49, Faculty of Dental Medicine, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia; Faculty of Pharmacy, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia
| | - Aida Lahmar
- Unity of Bioactive and Natural Substances and Biotechnology UR17ES49, Faculty of Dental Medicine, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia
| | - Fairouz Sioud
- Unity of Bioactive and Natural Substances and Biotechnology UR17ES49, Faculty of Dental Medicine, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia; Faculty of Pharmacy, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia
| | - Rim Bouhajeb
- Unity of Bioactive and Natural Substances and Biotechnology UR17ES49, Faculty of Dental Medicine, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia; Faculty of Pharmacy, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia
| | - Ahlem Bellalah
- Department of Pathology, Fattouma Bourguiba University Hospital, Monastir, Tunisia
| | - Leila Chekir-Ghedira
- Unity of Bioactive and Natural Substances and Biotechnology UR17ES49, Faculty of Dental Medicine, University of Monastir, Avicenna Street, 5000 Monastir, Tunisia
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Ramdas Nayak VK, Nayak KR, Vidyasagar S, P R. Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetes. Diabetes Metab Syndr 2020; 14:1265-1272. [PMID: 32688243 DOI: 10.1016/j.dsx.2020.06.045] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 06/19/2020] [Accepted: 06/21/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND AIMS Diabetes mellitus is one of the critical public health challenges in the Indian healthcare scenario. Novel anthropometric indices are promising surrogate markers to detect prediabetes compared to the traditional anthropometric indices that only reflect gross obesity. Thus, the authors aim to analyse the potential of three novel lipid combined anthropometric indices in predicting prediabetes in the Asian Indian population. METHODS We conducted an age and gender-matched case-control study to identify the predictors of prediabetes. Prediabetes was diagnosed as per the American Diabetes Association (ADA) guidelines 2010. The traditional anthropometric measurements including waist circumference (WC), waist to hip ratio (WHR) and body mass index (BMI) were executed using standardised methods. Fasting lipid profile was obtained and using standardised formulas, the novel lipid combined anthropometric indices such as lipid accumulation product (LAP), visceral adiposity index (VAI) and triglyceride glucose index (TyG index) were derived. TyG related indices such as triglyceride glucose-waist circumference (TyG-WC) and triglyceride glucose-body mass index (TyG-BMI) were also calculated. RESULTS The novel lipid combined anthropometric indices LAP, VAI, TyG index, TyG-WC and TyG-BMI were significantly higher in subjects with prediabetes of both the genders (p < 0.05). During receiver operating characteristic (ROC) curve evaluation, TyG index (AUC = 0.802) was the superior predictive measure in males, while in females, TyG-WC (AUC = 0.767) was the best among all the markers. CONCLUSION TyG index and TyG-WC seem to be a superior indicator of prediabetes in the Asian Indian population in comparison with other anthropometric indices to screen prediabetes.
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Affiliation(s)
- Vineetha K Ramdas Nayak
- Department of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India; Department of Physiology, K S Hegde Medical Academy, Nitte Deemed to be University, Mangalore, Karnataka, 575018, India.
| | - Kirtana Raghurama Nayak
- Department of Physiology, Kasturba Medical College, Manipal, Manipal, 576104, India; Department of Medical Education, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India.
| | - Sudha Vidyasagar
- Department of Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India.
| | - Rekha P
- Department of Statistics, K S Hegde Medical Academy, Nitte Deemed to be University, Mangalore, Karnataka, 575018, India.
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Yu ZW, Li X, Wang Y, Fu YH, Gao XY. Association Between Lipid Accumulation Product and Mild Cognitive Impairment in Patients with Type 2 Diabetes. J Alzheimers Dis 2020; 77:367-374. [PMID: 32804130 DOI: 10.3233/jad-200332] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Diabetes may increase the risk of conversion of mild cognitive impairment (MCI) to dementia. Lipid accumulation product (LAP), an index of visceral obesity, has been shown to be a powerful predictor of insulin resistance and type 2 diabetes (T2D). However, little attention has been paid to the relationship between LAP and MCI in T2D. OBJECTIVE We aimed to investigate the association between the LAP index and MCI in patients with T2D. METHODS In total, 220 hospitalized patients with T2D, including 113 MCI patients and 107 patients with normal cognition, were enrolled in this cross-sectional study. We collected demographic, anthropometric, and biochemical data on each subject. The LAP index was calculated according to the following formulas: [waist circumference (WC) (cm) - 65]×triglyceride (TG) (mmol/L) for males and [WC (cm) - 58] ×TG (mmol/L) for females. RESULTS Compared with patients with normal cognition, MCI patients were older and had a higher LAP index, WC, body mass index, and glycosylated hemoglobin A1c level, as well as a lower Montreal Cognitive Assessment score and education level (p < 0.05). After adjusting for confounding factors, LAP index was associated with MCI (OR = 1.047, 95% CI = 1.031-1.063, p < 0.01). The area under the ROC curve (AUC) for the LAP index was higher than that for WC and BMI. CONCLUSION A high LAP index is associated with an increased risk of MCI in T2D patients. The LAP index appears to be a good indicator of risk of MCI in patients with T2D.
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Affiliation(s)
- Zi-Wei Yu
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xin Li
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ying Wang
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yu-Hong Fu
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xin-Yuan Gao
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
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Zhang J, Zhao Y, Ren D, Yang X. Effect of okra fruit powder supplementation on metabolic syndrome and gut microbiota diversity in high fat diet-induced obese mice. Food Res Int 2019; 130:108929. [PMID: 32156377 DOI: 10.1016/j.foodres.2019.108929] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 11/29/2019] [Accepted: 12/17/2019] [Indexed: 02/08/2023]
Abstract
This study aimed to explore a novel strategy for dietary okra fruit powder (OFP) consumption on attenuation of non-alcohol fatty liver damage, lipid metabolic disorder and gut microbiota dysbiosis and associated mechanisms in high-fat diet (HFD)-induced obese mice. C57BL/6J mice were fed a normal diet and HFD feeds supplemented with or without OFP (2.5%, 5% and 10%, n = 10) for 12 weeks. The results showed that supplementation of OFP caused strong inhibition on HFD-caused high blood glucose, body weight gain and liver fat accumulation, as well as dyslipidemia involved in a dose-dependent modulation of hepatic FAS and CD36 expressions of obese mice. The hepatic LXR-α energy metabolism and PPAR-α pathway were also doubly activated by OFP to alleviate lipogenesis, obesity and metabolic syndrome. Malonaldehyde production was effectively antagonized, and glutathione peroxidase and superoxide dismutase activities were elevated by OFP supplementation in HFD-fed mice. OFP also significantly improved colonic SCFAs (acetic acid, propionic acid and butyrate acid) formation, especially for butyrate production via increasing the proportion of selected butyrate-producing bacteria. OFP also dramatically modified the gut microbial species at the family level with suppressing an increase in Proteobacteria, Actinobacteria and F/B ratio, and the decrease in Bacteroidetes caused by HFD. These findings support that dietary OFP consumption is a novel strategy to prevent obesity, metabolic syndrome and gut microbiota imbalance.
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Affiliation(s)
- Jin Zhang
- Key Laboratory of Ministry of Education for Medicinal Resource and Natural Pharmaceutical Chemistry, College of Life Sciences, Shaanxi Normal University, Xi'an 710062, China
| | - Yan Zhao
- Key Laboratory of Ministry of Education for Medicinal Resource and Natural Pharmaceutical Chemistry, College of Life Sciences, Shaanxi Normal University, Xi'an 710062, China.
| | - Daoyuan Ren
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, and Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China
| | - Xingbin Yang
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, and Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.
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Knock-down of circular RNA H19 induces human adipose-derived stem cells adipogenic differentiation via a mechanism involving the polypyrimidine tract-binding protein 1. Exp Cell Res 2019; 387:111753. [PMID: 31837293 DOI: 10.1016/j.yexcr.2019.111753] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 11/28/2019] [Accepted: 11/30/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE The metabolic syndrome (MetS) is characterized of a cluster of medical disorders. Altered function of adipose tissue has a significant impact on whole-body metabolism and represents a key driver for MetS. In this study, we aim to explore the function of human circular RNA H19 (hsa_circH19) in human adipose-derived stem cells (hADSCs). METHODS The blood samples from MetS patients and normal subjects were used to determine the expression level of the hsa_circH19. After knock-down of hsa_circH19 in hADSCs, we measured the expression of adipogenic genes. Oil red O, Nile red staining assay and triglyceride assessment were performed to examine the role of hsa_circH19 in hADSCs differentiation. Then, RNA Pull-down and RIP assays were conducted to explore the related RNA binding protein of hsa_circH19. IF was performed to determine the potential molecular regulatory mechanism. RESULTS After accounting for confounding factors, high levels of hsa_circH19 remained an independent risk factor for MetS. Furthermore, the knockdown of hsa_circH19 significantly increased the expression of adipogenic genes and the formation of lipid droplets. Bioinformatics analyses revealed that has_circH19 shared multiple binding sites with polypyrimidine tract-binding protein 1 (PTBP1) and their interaction was validated by circRNA pull-down and RIP assays. Mechanistically, depletion of hsa_circH19 triggered translocation of sterol-regulatory element binding proteins (SREBP1) from cytoplasm to nucleus in the presence of PTBP1. CONCLUSION Our experiments suggest that knockdown of hsa_circH19 promotes hADCSs adipogenic differentiation via targeting of PTBP1. In consequence, the expression of hsa_circH19 might correlated to lipid metabolism in adipose tissue from MetS.
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Ramírez-Vélez R, Pérez-Sousa MÁ, González-Ruíz K, Cano-Gutierrez CA, Schmidt-RioValle J, Correa-Rodríguez M, Izquierdo M, Romero-García JA, Campos-Rodríguez AY, Triana-Reina HR, González-Jiménez E. Obesity- and Lipid-Related Parameters in the Identification of Older Adults with a High Risk of Prediabetes According to the American Diabetes Association: An Analysis of the 2015 Health, Well-Being, and Aging Study. Nutrients 2019; 11:nu11112654. [PMID: 31689977 PMCID: PMC6893527 DOI: 10.3390/nu11112654] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/16/2019] [Accepted: 10/14/2019] [Indexed: 12/25/2022] Open
Abstract
This study evaluated the predictive ability of 11 obesity- and lipid-related parameters, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), body roundness index (BRI), "A" body-shape index (ABSI), conicity index (CI), visceral adiposity index (VAI), triglyceride-to-glucose fasting index (TyG), triglyceride-to-glucose fasting related to BMI (TyG-BMI), triglyceride-to-glucose fasting related to WC (TyG-WC), and triglyceride-to-glucose fasting related to WtHR (TyG-WtHR), to identify patients from an elderly Colombian population with a high risk of prediabetes according to the 2016 American Diabetes Association criteria. The data were obtained from the 2015 Colombian Health and Wellbeing and Aging Survey. A total of 3307 elderly Colombian individuals (aged over 60 years) were included. Anthropometric data, fasting plasma glucose, blood lipid profiles, family history, and health-related behaviors were assessed, and prediabetes was defined as a fasting plasma glucose of 100 to 125 mg/dL. The areas under the receiver operating characteristic (ROC) curves (AUCs) were calculated for each anthropometric indicator, using the prediabetes classification to identify their sensitivity and specificity, and these indicated that the prevalence of prediabetes was 25.3% in this population. After adjusting for potential confounding factors, the TyG index was strongly associated with the odds of having prediabetes in both sexes, and multivariate logistic regression analysis showed that the ORs for prediabetes increased across quartiles (p < 0.001). The TyG index was best able to identify prediabetes in either sex (AUC and optimal cut-off = 0.700 and 8.72, and 0.695 and 8.92 for men and women, respectively), suggesting that compared to the other parameters, the TyG index has the best discriminative power to predict prediabetes in the whole population. Thus, we propose the TyG index be used as a complementary marker for assessing prediabetes in older adults.
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Affiliation(s)
- Robinson Ramírez-Vélez
- Department of Health Sciences, Public University of Navarra, Navarrabiomed-Universidad Pública de Navarra (UPNA)-Complejo Hospitalario de Navarra (CHN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Navarra, Spain.
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Miguel Ángel Pérez-Sousa
- Faculty of Sport Sciences, University of Huelva, Avenida de las Fuerzas Armadas s/n, 21007 Huelva, Spain.
| | - Katherine González-Ruíz
- Grupo de Ejercicio Físico y Deportes, Vicerrectoría de Investigaciones, Universidad Manuela Beltrán, Bogotá, DC 110231, Colombia.
| | - Carlos A Cano-Gutierrez
- Hospital Universitario San Ignacio-Aging Institute, Pontificia Universidad Javeriana, 110111 Bogotá, Colombia.
| | | | - María Correa-Rodríguez
- Department of Nursing, University of Granada, Av. Ilustración, 60, 18016 Granada, Spain.
| | - Mikel Izquierdo
- Department of Health Sciences, Public University of Navarra, Navarrabiomed-Universidad Pública de Navarra (UPNA)-Complejo Hospitalario de Navarra (CHN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Navarra, Spain.
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- GICAEDS Group, Faculty of Physical Culture, Sport and Recreation, Universidad Santo Tomás, Bogotá 110311, Colombia.
| | - Jesús Astolfo Romero-García
- GICAEDS Group, Faculty of Physical Culture, Sport and Recreation, Universidad Santo Tomás, Bogotá 110311, Colombia.
| | | | - Héctor Reynaldo Triana-Reina
- GICAEDS Group, Faculty of Physical Culture, Sport and Recreation, Universidad Santo Tomás, Bogotá 110311, Colombia.
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Navarro P, Ramallo V, Cintas C, Ruderman A, de Azevedo S, Paschetta C, Pérez O, Pazos B, Delrieux C, González-José R. Body shape: Implications in the study of obesity and related traits. Am J Hum Biol 2019; 32:e23323. [PMID: 31506993 DOI: 10.1002/ajhb.23323] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 08/06/2019] [Accepted: 08/25/2019] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVES The diagnosis and treatment of obesity are usually based on traditional anthropometric variables including weight, height, and several body perimeters. Here we present a three-dimensional (3D) image-based computational approach aimed to capture the distribution of abdominal adipose tissue as an aspect of shape rather than a relationship among classical anthropometric measures. METHODS A morphometric approach based on landmarks and semilandmarks placed upon the 3D torso surface was performed in order to quantify abdominal adiposity shape variation and its relation to classical indices. Specifically, we analyzed sets of body cross-sectional circumferences, collectively defining each, along with anthropometric data taken on 112 volunteers. Principal Component Analysis (PCA) was performed on 250 circumferences located along the abdominal region of each volunteer. An analysis of covariance model was used to compare shape variables (PCs) against anthropometric data (weight, height, and waist and hip circumferences). RESULTS The observed shape patterns were mainly related to nutritional status, followed by sexual dimorphism. PC1 (12.5%) and PC2 (7.5%) represented 20% of the total variation. In PCAs calculated independently by sex, linear regression analyses provide statistically significant associations between PC1 and the three classical indexes: body mass index, waist-to-height ratio, and waist-hip ratio. CONCLUSION Shape indicators predict well the behavior of classical markers, but also evaluate 3D and geometric features with more accuracy as related to the body shape under study. This approach also facilitates diagnosis and follow-up of therapies by using accessible 3D technology.
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Affiliation(s)
- Pablo Navarro
- Instituto Patagónico de Ciencias Sociales y Humanas (IPCSH), Centro Nacional Patagónico (CENPAT - CONICET), Puerto Madryn, Argentina.,Departamento de Informática (DIT), Facultad de Ingeniería, Universidad Nacional de la Patagonia San Juan Bosco, Trelew, Chubut, Argentina.,Laboratorio de Ciencias de las Imágenes, Departamento de Ingeniería Eléctrica y Computadoras, Universidad Nacional del Sur, Bahia Blanca, Argentina
| | - Virginia Ramallo
- Instituto Patagónico de Ciencias Sociales y Humanas (IPCSH), Centro Nacional Patagónico (CENPAT - CONICET), Puerto Madryn, Argentina
| | | | - Anahí Ruderman
- Instituto Patagónico de Ciencias Sociales y Humanas (IPCSH), Centro Nacional Patagónico (CENPAT - CONICET), Puerto Madryn, Argentina
| | - Soledad de Azevedo
- Instituto Patagónico de Ciencias Sociales y Humanas (IPCSH), Centro Nacional Patagónico (CENPAT - CONICET), Puerto Madryn, Argentina
| | - Carolina Paschetta
- Instituto Patagónico de Ciencias Sociales y Humanas (IPCSH), Centro Nacional Patagónico (CENPAT - CONICET), Puerto Madryn, Argentina
| | - Orlando Pérez
- Instituto Patagónico de Ciencias Sociales y Humanas (IPCSH), Centro Nacional Patagónico (CENPAT - CONICET), Puerto Madryn, Argentina
| | - Bruno Pazos
- Instituto Patagónico de Ciencias Sociales y Humanas (IPCSH), Centro Nacional Patagónico (CENPAT - CONICET), Puerto Madryn, Argentina.,Departamento de Informática (DIT), Facultad de Ingeniería, Universidad Nacional de la Patagonia San Juan Bosco, Trelew, Chubut, Argentina.,Laboratorio de Ciencias de las Imágenes, Departamento de Ingeniería Eléctrica y Computadoras, Universidad Nacional del Sur, Bahia Blanca, Argentina
| | - Claudio Delrieux
- Laboratorio de Ciencias de las Imágenes, Departamento de Ingeniería Eléctrica y Computadoras, Universidad Nacional del Sur, Bahia Blanca, Argentina
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas (IPCSH), Centro Nacional Patagónico (CENPAT - CONICET), Puerto Madryn, Argentina
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Anık İlhan G, Yıldızhan B. Visceral adiposity indicators as predictors of metabolic syndrome in postmenopausal women. Turk J Obstet Gynecol 2019; 16:164-168. [PMID: 31673468 PMCID: PMC6792061 DOI: 10.4274/tjod.galenos.2019.62558] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 07/18/2019] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE The aim of the present study was to evaluate the importance of visceral adiposity indicators on metabolic parameters in postmenopausal women. MATERIALS AND METHODS This cross-sectional study included 200 postmenopausal subjects. Postmenopausal women were divided into two groups based on the presence of metabolic syndrome (MetS) as MetS+ and MetS-. Comparisons of clinical and metabolic characteristics were performed between the groups. RESULTS The current study included 200 postmenopausal women and 63 subjects were diagnosed as having MetS. Postmenopausal women with MetS demonstrated significantly higher values with respect to systolic and diastolic blood pressures, body mass index (BMI), waist-hip ratio (WHR), triglyceride (TG), lipid ratios, Homeostasis Model Assessment Insulin Resistance (HOMA) index, TG glucose (TyG), Visceral Adiposity Index (VAI), and lipid accumulation product (LAP) when compared with women without MetS. Correlation analyses showed that LAP and VAI were positively correlated with waist circumference, WHR, BMI, TG, lipid ratios, TyG and HOMA index, and with each other. LAP was also positively correlated with blood pressures. CONCLUSION Visceral adiposity indicators may be useful as predictors of MetS in postmenopausal women.
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Affiliation(s)
- Gökçe Anık İlhan
- Marmara University Faculty of Medicine, Department of Obstetrics and Gynecology, İstanbul, Turkey
| | - Begüm Yıldızhan
- Marmara University Faculty of Medicine, Department of Obstetrics and Gynecology, İstanbul, Turkey
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Song J, Chen X, Jiang Y, Mi J, Zhang Y, Zhao Y, Wu X, Gao H. Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey. J Diabetes Res 2019; 2019:9014698. [PMID: 31772946 PMCID: PMC6854969 DOI: 10.1155/2019/9014698] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 09/25/2019] [Accepted: 10/01/2019] [Indexed: 12/11/2022] Open
Abstract
AIMS Lipid accumulation product (LAP) is put forward as a powerful marker showing the accumulation of visceral fat. The present study is aimed at (i) analyzing the predictive performances of LAP in the identification of impaired fasting glucose (IFG) in Chinese population and (ii) exploring the potentially interactive effect between LAP and other factors on IFG risk. METHODS Analysis was conducted on the data obtained from a community-based cross-sectional survey in Chinese population, and all the participants enrolled were required to complete a face-to-face questionnaire survey and related health checks. Then, for the purpose of comparing predictive values between LAP and conventional obesity indices for IFG, relevant analysis was carried out on the receiver operating characteristic (ROC) curve. The assessment of interactive effects was conducted by employing the three indicators as follows: (1) RERI (the relative excess risk due to interaction), (2) AP (attributable proportion due to interaction), and (3) SI (synergy index). RESULTS A total of 1777 participants (748 males and 1029 females) were involved in the final analysis. It was finally obtained that the prevalence rate of IFG was 14.1% in total, 15.5% for males and 13.1% for females, respectively. In logistic regression analysis, individuals with LAP levels in the fourth quartile had a significant higher risk of getting IFG in comparison with that of the lowest quartile (crude OR: 4.58, 95% CI: 3.01-6.98; adjusted OR: 3.81, 95% CI: 2.33-6.23). In addition, it was indicated by the ROC curve analysis that LAP showed a better performance in discriminating IFG risk than BMI in both males (Z = 2.20, P = 0.028) and females (Z = 2.13, P = 0.033). However, LAP displayed a higher predictability in comparison with WC only in females (Z = 2.07, P = 0.038), but not in males (Z = 0.18, P = 0.860). Furthermore, LAP and family history of diabetes were able to impose significant synergistic interaction on the risk of IFG, which was indicated by all the parameters in females (RERI: 2.52, 95% CI: 0.19-4.84; AP: 0.47, 95% CI: 0.20-0.74; SI: 2.39, 95% CI: 1.17-4.87) and males (RERI: 2.18, 95% CI: 0.08-4.73; AP: 0.43, 95% CI: 0.07-0.79; SI: 2.15, 95% CI: 1.03-5.45). However, none of the indicators showed significant interaction between LAP and smoking on the risk of IFG in females (RERI: 0.92, 95% CI: -2.79-4.63; AP: 0.20, 95% CI: -0.50-0.92; SI: 1.37, 95% CI: 0.42-4.52). Meanwhile, there was also no significant interaction between LAP and smoking on the risk of IFG in males as indicated by the value of SI (2.22, 95% CI: 0.80-6.21). CONCLUSION It was concluded that LAP was significantly related to a higher risk of IFG in Chinese population, and its performance was superior to that of conventional obesity indices, especially in females. Apart from that, LAP with family history of diabetes may have an interactive effect that can impose a great influence on the development of IFG.
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Affiliation(s)
- Jian Song
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Xue Chen
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Yuhong Jiang
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Jing Mi
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Yuyuan Zhang
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Yingying Zhao
- Bengbu Health Board, 568 Nanhu Road, Bengbu, 233000 Anhui Province, China
| | - Xuesen Wu
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
| | - Huaiquan Gao
- School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, China
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