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Navaneeth G, Hiremath R, Poojary SR, Kini DV, Chittaragi KB. Computed tomographic abdominal fat volume estimation - a handy tool to predict the risk of metabolic syndrome. Pol J Radiol 2023; 88:e379-e388. [PMID: 37701173 PMCID: PMC10493863 DOI: 10.5114/pjr.2023.131010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 06/30/2023] [Indexed: 09/14/2023] Open
Abstract
Purpose Abdominal obesity plays a significant role in the development of metabolic syndrome, with individual metabolic risk profiles for visceral and subcutaneous adipose tissues. This study aimed to calculate and correlate the subcutaneous, visceral, and total fat compartment volume in metabolic and non-metabolic syndrome patients. Material and methods This was a cross-sectional study conducted on 112 patients categorized into Group A (with metabolic syndrome) and Group B (without metabolic syndrome). They were subjected to computed tomography (CT) study of the abdomen using a 128-slice MDCT scanner. Body mass index (BMI), visceral fat volume (VFV), subcutaneous fat volume (SFV), and total fat volume (TFV) were calculated and correlated with biochemical evidence of metabolic syndrome. Results The mean age of patients in Group A was 60.91 ± 12.23 years as compared to Group B, which was 50.12 ± 16.30 years. Overall, a male predominance was observed, i.e. 69 cases (61.6%). BMI was proven to be an inaccurate risk predictor. However, mean VFV, SFV, and TFV was statistically higher in patients with metabolic syndrome (p = 0.001), with visceral fat volume predicting a higher risk in females (p = 0.026). Conclusions Abdominal CT is a commonly performed yet unexplored tool for the risk assessment of metabolic syndrome. Through the results obtained in this study, we have proven the need for calculating SFV, VFV, and TFV as predictors of metabolic syndrome in comparison to the conventional practice of BMI assessment. The radiologist can thus work with the clinician to effectively detect and treat this health condition.
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Lee EJ, Song N, Chung ES, Heo E, Lee H, Kim H, Jeon JS, Noh H, Kim SH, Kwon SH. Changes in abdominal fat depots after bariatric surgery are associated with improved metabolic profile. Nutr Metab Cardiovasc Dis 2023; 33:424-433. [PMID: 36642613 DOI: 10.1016/j.numecd.2022.12.017] [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: 07/15/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND AIMS Obesity associated with a change in the quantity and quality of fat depots. Using computed tomography (CT), we analyzed abdominal fat depots in patients with obesity after bariatric surgery according to their metabolic health status. METHODS AND RESULTS We recruited 79 individuals with metabolically unhealthy obesity before bariatric surgery and compared them with age-sex matched healthy controls. The volume and fat attenuation index (FAI) of fat depots were measured using CT scans that were conducted prior to and a year after bariatric surgery. 'Metabolically healthy' was defined as having no hypertension, normal fasting glucose and a waist-to-hip ratio of <1.05 for men and <0.95 for women. Individuals who achieved a metabolic health status conversion (MHC) (n = 29, 37%)-from unhealthy to healthy-were younger (p < 0.001) as compared to individuals without MHC. Pre-surgery BMI and reduction of BMI did not differ between the two groups (p = 0.099, p = 0.5730). Bariatric surgery reduced the volume and increased the FAI of fat depots. Baseline lower abdominal periaortic adipose tissue (AT) volume (p = 0.014) and great percent reduction in renal sinus AT volume after surgery (p = 0.019) were associated with MHC after surgery. Increased intraperitoneal AT FAI (p = 0.031) was also associated with MHC. CONCLUSION MHC was not associated with improvement in general obesity, based on indicators such as reduction of BMI after surgery. Weight reduction induced specific abdominal fat depot changes measured by CT are positively associated with MHC.
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Affiliation(s)
- Eun Ji Lee
- Department of Radiology, Soonchunhyang University Seoul Hospital, South Korea
| | - Nayoung Song
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, South Korea
| | - Eui Seok Chung
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, South Korea
| | - Eun Heo
- Department of Pharmaceutical Engineering, Soonchunhyang University, South Korea
| | - Haekyung Lee
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, South Korea
| | - Hyungnae Kim
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, South Korea
| | - Jin Seok Jeon
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, South Korea
| | - Hyunjin Noh
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, South Korea
| | - Sang Hyun Kim
- Department of Surgery, Soonchunhyang University Seoul Hospital, South Korea
| | - Soon Hyo Kwon
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, South Korea.
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3
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Leung H, Long X, Ni Y, Qian L, Nychas E, Siliceo SL, Pohl D, Hanhineva K, Liu Y, Xu A, Nielsen HB, Belda E, Clément K, Loomba R, Li H, Jia W, Panagiotou G. Risk assessment with gut microbiome and metabolite markers in NAFLD development. Sci Transl Med 2022; 14:eabk0855. [PMID: 35675435 PMCID: PMC9746350 DOI: 10.1126/scitranslmed.abk0855] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A growing body of evidence suggests interplay between the gut microbiota and the pathogenesis of nonalcoholic fatty liver disease (NAFLD). However, the role of the gut microbiome in early detection of NAFLD is unclear. Prospective studies are necessary for identifying reliable, microbiome markers for early NAFLD. We evaluated 2487 individuals in a community-based cohort who were followed up 4.6 years after initial clinical examination and biospecimen sampling. Metagenomic and metabolomic characterizations using stool and serum samples taken at baseline were performed for 90 participants who progressed to NAFLD and 90 controls who remained NAFLD free at the follow-up visit. Cases and controls were matched for gender, age, body mass index (BMI) at baseline and follow-up, and 4-year BMI change. Machine learning models integrating baseline microbial signatures (14 features) correctly classified participants (auROCs of 0.72 to 0.80) based on their NAFLD status and liver fat accumulation at the 4-year follow up, outperforming other prognostic clinical models (auROCs of 0.58 to 0.60). We confirmed the biological relevance of the microbiome features by testing their diagnostic ability in four external NAFLD case-control cohorts examined by biopsy or magnetic resonance spectroscopy, from Asia, Europe, and the United States. Our findings raise the possibility of using gut microbiota for early clinical warning of NAFLD development.
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Affiliation(s)
- Howell Leung
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Xiaoxue Long
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China
| | - Yueqiong Ni
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.,Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Lingling Qian
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China
| | - Emmanouil Nychas
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Sara Leal Siliceo
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Dennis Pohl
- Clinical Microbiomics, Fruebjergvej 3, 2100 Copenhagen, Denmark.,Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kgs. Lyngby, Denmark
| | - Kati Hanhineva
- Department of Life Technologies, Food Chemistry and Food Development Unit, University of Turku, 20014 Turku, Finland.,Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, 412 96 Gothenburg, Sweden.,School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Yan Liu
- The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Aimin Xu
- The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China.,Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China
| | | | - Eugeni Belda
- Sorbonne Université, INSERM, NutriOmics Research Unit, Nutrition Department, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, 75013 Paris, France
| | - Karine Clément
- Sorbonne Université, INSERM, NutriOmics Research Unit, Nutrition Department, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, 75013 Paris, France
| | - Rohit Loomba
- NAFLD Research Center, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Gianni Panagiotou
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.,The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
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Zhang QH, Xie LH, Zhang HN, Liu JH, Zhao Y, Chen LH, Ju Y, Chen AL, Wang N, Song QW, Xie LZ, Liu AL. Magnetic Resonance Imaging Assessment of Abdominal Ectopic Fat Deposition in Correlation With Cardiometabolic Risk Factors. Front Endocrinol (Lausanne) 2022; 13:820023. [PMID: 35432188 PMCID: PMC9005896 DOI: 10.3389/fendo.2022.820023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE Ectopic fat accumulation and abdominal fat distribution may have different cardiometabolic risk profiles. This study aimed to assess the associations between various magnetic resonance imaging (MRI)-acquired fat depots and cardiometabolic risk factors. METHODS A total of 320 subjects with median age of 59 years, 148 men and 172 women, were enrolled in the study. Visceral adipose tissue (VAT) area and fat fraction (FF), subcutaneous adipose tissue (SAT) area and FF at the L1-L2 levels, preperitoneal adipose tissue (pPAT) area and FF, hepatic FF, pancreatic FF, and intramuscular FF were assessed by MRI FF maps. The associations of various MRI-acquired fat depots with blood pressure, glucose, and lipid were examined using sex-stratified linear regression. Logistic regression stratified by sex was used to analyze the association of various MRI-acquired fat depots with the risk of hypertension, T2DM, and dyslipidemia. RESULTS The intraclass correlation coefficient (ICC) values were >0.9, which suggested good interobserver and intraobserver agreement. VAT area, V/S, hepatic fat, pancreatic fat, and pPAT rather than SAT area were significantly associated with multiple cardiometabolic risk factors (all p < 0.05). However, the patterns of these correlations varied by sex and specific risk factors. Also, VAT and SAT FF were only significantly associated with multiple cardiometabolic risk factors in women (all p < 0.05). CONCLUSIONS VAT, hepatic fat, pancreatic fat, and pPAT were associated with cardiovascular metabolic risk factors independent of BMI. The patterns of these correlations were related to gender. These findings further the understanding of the association between ectopic fat deposition and cardiometabolic risk factors and help to better understand the obesity heterogeneity.
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Affiliation(s)
- Qin-He Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Lu-Han Xie
- Department of Pathology and Forensics, Dalian Medical University, Dalian, China
| | - Hao-Nan Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jing-Hong Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ying Zhao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Li-Hua Chen
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ye Ju
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - An-Liang Chen
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Nan Wang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Qing-Wei Song
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Li-Zhi Xie
- MR Research, GE Healthcare, Beijing, China
| | - Ai-Lian Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- *Correspondence: Ai-Lian Liu,
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5
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Liu D, Wu L, Gao Q, Long X, Hou X, Qian L, Ni J, Fang Q, Li H, Jia W. FGF21/adiponectin ratio predicts deterioration in glycemia: a 4.6-year prospective study in China. Cardiovasc Diabetol 2021; 20:157. [PMID: 34321008 PMCID: PMC8320224 DOI: 10.1186/s12933-021-01351-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 07/21/2021] [Indexed: 12/29/2022] Open
Abstract
Background The fibroblast growth factor (FGF) 21-adiponectin pathway is involved in the regulation of insulin resistance. However, the relationship between the FGF21-adiponectin pathway and type 2 diabetes in humans is unclear. Here, we investigated the association of FGF21/adiponectin ratio with deterioration in glycemia in a prospective cohort study. Methods We studied 6361 subjects recruited from the prospective Shanghai Nicheng Cohort Study in China. The association between baseline FGF21/adiponectin ratio and new-onset diabetes and incident prediabetes was evaluated using multiple logistic regression analysis. Results At baseline, FGF21/adiponectin ratio levels increased progressively with the deterioration in glycemic control from normal glucose tolerance to prediabetes and diabetes (p for trend < 0.001). Over a median follow-up of 4.6 years, 195 subjects developed new-onset diabetes and 351 subjects developed incident prediabetes. Elevated baseline FGF21/adiponectin ratio was a significant predictor of new-onset diabetes independent of traditional risk factors, especially in subjects with prediabetes (odds ratio, 1.367; p = 0.001). Moreover, FGF21/adiponectin ratio predicted incident prediabetes (odds ratio, 1.185; p = 0.021) while neither FGF21 nor adiponectin were independent predictors of incident prediabetes (both p > 0.05). Furthermore, net reclassification improvement and integrated discrimination improvement analyses showed that FGF21/adiponectin ratio provided a better performance in diabetes risk prediction than the use of FGF21 or adiponectin alone. Conclusions FGF21/adiponectin ratio independently predicted the onset of prediabetes and diabetes, with the potential to be a useful biomarker of deterioration in glycemia. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01351-1.
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Affiliation(s)
- Dan Liu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.,Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Wu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Qiongmei Gao
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Xiaoxue Long
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.,Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuhong Hou
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Lingling Qian
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Jiacheng Ni
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Qichen Fang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.
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6
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Yokokawa H, Fukuda H, Saita M, Goto K, Kaku T, Miyagami T, Takahashi Y, Hamada C, Hisaoka T, Naito T. An association between visceral or subcutaneous fat accumulation and diabetes mellitus among Japanese subjects. Diabetol Metab Syndr 2021; 13:44. [PMID: 33853648 PMCID: PMC8048050 DOI: 10.1186/s13098-021-00646-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 02/27/2021] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND The impact of subcutaneous fat accumulation remains controversial. This study assessed the association between visceral or subcutaneous fat area (VFA and SFA, respectively) and diabetes mellitus (DM) among Japanese subjects. METHODS This was a cross-sectional study involving 1907 eligible participants (men, 1050; women, 857) who participated in a voluntary health check-up conducted at Juntendo University Hospital from January 2017 to December 2018, in Tokyo, Japan. Associations between VFA or SFA quartiles and DM were identified using adjusted odds ratios (AORs) and 95% confidence intervals (CIs) with multivariable logistic regression analysis adjusted for confounders. Receiver operating characteristic (ROC) curve analysis was used to assess appropriate cut-off values of VFA or SFA. RESULTS Multivariate analyses showed that Q4 (≥ 125 cm2) of VFA was significantly positively associated with DM compared to Q1 (< 65 cm2) (AOR = 1.94, 95% CI 1.02-3.71), whereas there was no association between SFA and DM in men. Among women, Q4 (≥ 85 cm2) of VFA was significantly positively associated with DM compared to Q1 (< 30 cm2) (Q4, AOR = 6.15, 95% CI 1.65-22.99). Also, Q3 and Q4 (≥ 135 cm2) of SFA were significantly positively associated with DM compared to Q1 (< 90 cm2) (Q3, AOR = 5.64, 95% CI 1.21-26.25; Q4, AOR = 7.81, 95% CI 1.71-35.65). The appropriate cut-off value of VFA in men was 101.5 cm2. Those of VFA and SFA in women were 72.5 cm2 and 165.3 cm2, respectively. CONCLUSIONS Our results suggest the importance of considering SFA as well as VFA, especially in women, for primary and secondary prevention of DM.
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Affiliation(s)
- Hirohide Yokokawa
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan.
- Department of General Medicine, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Hiroshi Fukuda
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Mizue Saita
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Kento Goto
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tengen Kaku
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Taiju Miyagami
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Yuichi Takahashi
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Chieko Hamada
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Teruhiko Hisaoka
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Toshio Naito
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
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7
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Chen P, Hou X, Wei L, Feng L, Zhong L, Jiao L, Wang H, Bao Y, Jia W. Free triiodothyronine is associated with the occurrence and remission of nonalcoholic fatty liver disease in euthyroid women. Eur J Clin Invest 2019; 49:e13070. [PMID: 30636282 DOI: 10.1111/eci.13070] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 11/01/2018] [Accepted: 11/23/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND The association between nonalcoholic fatty liver disease (NAFLD) and free triiodothyronine (FT3) in euthyroid subjects was in dispute. We aimed to investigate this issue in a population-based cohort study. MATERIALS AND METHODS A total of 3144 euthyroid subjects at baseline from the Shanghai Nicheng Atherosclerosis Study were selected for the cross-sectional analysis, and 2089 subjects being followed up after 2.2 years were selected for the longitudinal analysis. NAFLD was diagnosed by ultrasound. The cut-off point of elevated alanine aminotransferase (ALT) level was 40 U/L. The FIB-4 index was used to assess the risk of advanced liver fibrosis. RESULTS Age-adjusted mean levels of FT3 and FT3/free thyroxine (FT4) ratio were higher in subjects with NAFLD than those without NAFLD and linearly increased with a higher risk of NAFLD progression (assessed by levels of ALT and FIB-4 index) in euthyroid women but not in men. After adjustment for confounding variables, FT3 levels significantly increased with the presence of NAFLD (β = 0.1, P < 0.001) and linearly increased with a higher risk of NAFLD progression in euthyroid women. After a 2.2-year follow-up, FT3 levels increased with the occurrence of NAFLD (mean change percentage: 1.4%) and decreased with the remission of NAFLD (mean change percentage: -2.7%) in euthyroid women. CONCLUSIONS There are positive associations of FT3 levels with NAFLD and the risk of NAFLD progression in euthyroid women. The changes in FT3 levels with the alteration of NAFLD status may be an adaptive response to maintain energy and metabolic homeostasis.
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Affiliation(s)
- Peizhu Chen
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Shanghai Diabetes Institute, Shanghai, China.,Shanghai Clinical Center for Diabetes, Shanghai, China.,Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Xuhong Hou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Shanghai Diabetes Institute, Shanghai, China.,Shanghai Clinical Center for Diabetes, Shanghai, China.,Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Li Wei
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Shanghai Diabetes Institute, Shanghai, China.,Shanghai Clinical Center for Diabetes, Shanghai, China.,Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Liang Feng
- Department of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Lichang Zhong
- Department of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Lei Jiao
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Hongmei Wang
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Shanghai Diabetes Institute, Shanghai, China.,Shanghai Clinical Center for Diabetes, Shanghai, China.,Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Shanghai Diabetes Institute, Shanghai, China.,Shanghai Clinical Center for Diabetes, Shanghai, China.,Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
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8
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Wu J, Hou X, Chen L, Chen P, Wei L, Jiang F, Bao Y, Jia W. Development and validation of a non-invasive assessment tool for screening prevalent undiagnosed diabetes in middle-aged and elderly Chinese. Prev Med 2019; 119:145-152. [PMID: 30594538 DOI: 10.1016/j.ypmed.2018.12.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 12/20/2018] [Accepted: 12/24/2018] [Indexed: 11/28/2022]
Abstract
To develop a non-invasive assessment tool and compare it to other assessment tools among middle-aged and elderly Shanghainese, 15,309 individuals, who were 45-70 years old, not previously diagnosed with diabetes, and from a cross-sectional survey conducted between April 2013 and August 2014 in Shanghai, were selected into this study. The participants were randomly assigned to either the exploratory group or the validation group. Undiagnosed diabetes was defined according to the American Diabetes Association diagnostic criteria, and score points were generated according to the logistic regression coefficients. Age, family history of diabetes, hypertension, overweight/obesity, and central obesity all contributed to the constructed model, the Shanghai Nicheng diabetes screening score, with the area under the receiver-operating characteristic curve (AUC) being 0.654 (95% CI 0.637-0.670) in the exploratory group and 0.669 (95% CI 0.653-0.686) in the validation group. The score value of 6 was the optimal cut-point with the largest Youden's index. When applied to the validation group, our model had a similar discriminative ability to the New Chinese Diabetes Risk Score (AUC: 0.669 vs. 0.662, p = 0.187), and performed better than other screening scores for Chinese. However, our model was inferior to fasting plasma glucose, 2-hour plasma glucose, and glycosylated hemoglobin in detecting prevalent undiagnosed diabetes (AUC: 0.669 (0.653-0.686) vs. 0.881 (0.868-0.894), 0.934 (0.923-0.944), and 0.834 (0.819-0.848), all p < 0.001). Although non-invasive models, based on demographic and clinical information, are advisable in resource-scarce developing areas, regular blood glucose screening is still necessary among those aged 45 or older.
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Affiliation(s)
- Jingzhu Wu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Shanghai Diabetes Institute, 600 Yishan Road, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai 200233, China
| | - Xuhong Hou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Shanghai Diabetes Institute, 600 Yishan Road, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai 200233, China
| | - Lei Chen
- Department of Clinical Diabetes and Epidemiology, Baker Heart & Diabetes Institute, 75 Commercial Road, Melbourne, Victoria 3004, Australia
| | - Peizhu Chen
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Shanghai Diabetes Institute, 600 Yishan Road, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai 200233, China
| | - Li Wei
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Shanghai Diabetes Institute, 600 Yishan Road, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai 200233, China
| | - Fusong Jiang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Shanghai Diabetes Institute, 600 Yishan Road, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Shanghai Diabetes Institute, 600 Yishan Road, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai 200233, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Shanghai Diabetes Institute, 600 Yishan Road, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai 200233, China.
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