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Teimouri A, Ebrahimpour Z, Feizi A, Iraj B, Saffari E, Akbari M, Karimifar M. Pre-diabetes and cardiovascular risk factors in NAFLD patients: a retrospective comparative analysis. Front Endocrinol (Lausanne) 2025; 16:1416407. [PMID: 39991738 PMCID: PMC11842249 DOI: 10.3389/fendo.2025.1416407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 01/13/2025] [Indexed: 02/25/2025] Open
Abstract
Objectives Insulin resistance plays a critical role in the pathophysiology of diabetes mellitus and non-alcoholic fatty liver disease (NAFLD). Moreover, insulin resistance has a central role in atherogensis as the major leading cause of cardiovascular disease (CVD). The aim of the present study was to assess the frequency of pre-diabetes and evaluate the cardiometabolic risk factors among NAFLD patients, comparing those with pre-diabetes to those with normal glucose tolerance. Methods In the current retrospective case-control study, the data of 1031 NAFLD patients was retrieved. Based on blood glucose levels, 337 diabetics, 340 pre-diabetes, and, 354 normal glucose patients were diagnosed. After excluding diabetic NAFLD patients, 694 individuals were divided into two groups: normal glucose and pre-diabetes. Various variables, such as age, anthropometric measurements, hypertension, systolic and diastolic blood pressure, and lipid profiles, were extracted from patient files. Statistical analysis was conducted to assess cardiovascular risk factors in NAFLD patients. Results Higher age, female gender, higher BMI, triglyceride, waist and hip circumference and waist-to-hip ratio were found in pre-diabetic NAFLD individuals compared with normoglycemic ones (P-value<0.05). Multivariable age-, sex-, BMI- and smoking- adjusted logistic regression showed a predicting role of pre-diabetes and NAFLD concurrence with metabolic syndrome (P-value<0.001, OR:4.31, 95% CI: 2.95- 6.29), but not CVD (P-value=0.353, OR:1.37, 95% CI: 0.71- 2.61). Conclusion In this study, nearly one-third of NAFLD patients had pre-diabetes. The mean value of age, BMI, TG, waist and Hip circumference was significantly higher in pre-diabetic patients. The concurrence of pre-diabetes and NAFLD was a predicting factor for metabolic syndrome, but not CVD events.
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Affiliation(s)
- Azam Teimouri
- Isfahan Gastroenterology and Hepatology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Zahra Ebrahimpour
- Metabolic Liver Disease Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Awat Feizi
- Department of Biostatistics and Epidemiology, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Bijan Iraj
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Elahe Saffari
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mojtaba Akbari
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mozhgan Karimifar
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
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Liu J, Fu Q, Su R, Liu R, Wu S, Li K, Wu J, Zhang N. Association between nontraditional lipid parameters and the risk of type 2 diabetes and prediabetes in patients with nonalcoholic fatty liver disease: from the national health and nutrition examination survey 2017-2020. Front Endocrinol (Lausanne) 2024; 15:1460280. [PMID: 39280011 PMCID: PMC11392789 DOI: 10.3389/fendo.2024.1460280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 08/16/2024] [Indexed: 09/18/2024] Open
Abstract
Background Nonalcoholic fatty liver disease (NAFLD) is a prevalent metabolic disorder strongly linked to type 2 diabetes mellitus (T2DM). Understanding the predictive value of lipid parameters in identifying abnormal glucose metabolism in NAFLD patients is crucial for early intervention. Methods This study analyzed data from the National Health and Nutrition Examination Survey(NHANES) database (2017-2020) involving 1066 NAFLD patients. Participants were categorized into three groups: T2DM (n=414), prediabetes mellitus (pre-DM) (n=507), and normoglycemia (NG) (n=145). Traditional lipid parameters [triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C)] and nontraditional lipid parameters [atherogenic index of plasma (AIP), residual cholesterol (RC), and non-high-density lipoprotein cholesterol (non-HDL-C)] were evaluated for their association with T2DM and pre-DM. Results Elevated TG levels were significantly associated with an increased risk of T2DM and pre-DM, whereas high HDL-C demonstrated a protective effect. Among nontraditional lipid parameters, increased AIP and RC were most strongly associated with T2DM risk, while high non-HDL-C was best associated with the development of pre-DM. Stratified analyses revealed that these associations were stronger in younger, non-obese, smoking, and female NAFLD patients. Conclusion Nontraditional lipid parameters, particularly AIP and RC, show superior predictive value over traditional lipid parameters in identifying abnormal glucose metabolism in NAFLD patients. Incorporating these novel biomarkers into clinical practice could enhance early detection and prevention strategies for T2DM and pre-DM in this high-risk population.
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Affiliation(s)
- Jierui Liu
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Qingan Fu
- Cardiovascular Medicine Department, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Ruolin Su
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Rixiang Liu
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Shisheng Wu
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Ke Li
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jianhua Wu
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Nuobei Zhang
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
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Yasin A, Nguyen M, Sidhu A, Majety P, Spitz J, Asgharpour A, Siddiqui MS, Sperling LS, Quyyumi AA, Mehta A. Liver and cardiovascular disease outcomes in metabolic syndrome and diabetic populations: Bi-directional opportunities to multiply preventive strategies. Diabetes Res Clin Pract 2024; 211:111650. [PMID: 38604447 DOI: 10.1016/j.diabres.2024.111650] [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: 08/09/2023] [Revised: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/13/2024]
Abstract
The incidence and prevalence of metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM) are rising globally. MetS and T2DM are associated with significant morbidity and mortality, which is partly related to liver and cardiovascular disease. Insulin resistance is central to MetS and T2DM pathophysiology, and drives ectopic fat deposition in the liver, also known as metabolic dysfunction-associated steatotic liver disease (MASLD). MetS and T2DM are not only risk factors for developing MASLD but are also independently associated with disease progression to steatohepatitis, cirrhosis, and hepatocellular carcinoma. In addition to the risk of liver disease, MetS and T2DM are independent risk factors for cardiovascular disease (CVD), including coronary artery disease (CAD) and heart failure (HF). Importantly, there is a bidirectional relationship between liver and CVD due to shared disease pathophysiology in patients with MetS and T2DM. In this review, we have described studies exploring the relationship of MetS and T2DM with MASLD and CVD, independently. Following this we discuss studies evaluating the interplay between liver and cardiovascular risk as well as pragmatic risk mitigation strategies in this patient population.
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Affiliation(s)
| | | | - Angad Sidhu
- Virginia Commonwealth University, Richmond, VA, US
| | | | - Jared Spitz
- Inova Heart and Vascular Institute, Fairfax, VA, US
| | | | | | | | - Arshed A Quyyumi
- Emory Clinical Cardiovascular Research Institute, Atlanta, Georgia
| | - Anurag Mehta
- Virginia Commonwealth University, Richmond, VA, US.
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Mahachai N, Washirasaksiri C, Ariyakunaphan P, Kositamongkol C, Sitasuwan T, Tinmanee R, Auesomwang C, Sayabovorn N, Chaisathaphol T, Phisalprapa P, Charatcharoenwitthaya P, Srivanichakorn W. Clinical Predictive Score for Identifying Metabolic Dysfunction-Associated Steatotic Liver Disease in Individuals with Prediabetes Using Transient Elastography. J Clin Med 2023; 12:7617. [PMID: 38137686 PMCID: PMC10743615 DOI: 10.3390/jcm12247617] [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: 11/03/2023] [Revised: 12/09/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023] Open
Abstract
Scoring systems for metabolic dysfunction-associated steatotic liver disease (MASLD) in individuals with prediabetes have not been extensively explored. This study aimed to investigate the prevalence of MASLD and to develop predictive tools for its detection in high cardiometabolic people with prediabetes. A cross-sectional study was conducted using baseline data from the prediabetes cohort. All participants underwent transient elastography to assess liver stiffness. MASLD was defined using a controlled attenuation parameter value > 275 dB/m and/or a liver stiffness measurement ≥ 7.0 kPa. Cases with secondary causes of hepatic steatosis were excluded. Out of 400 participants, 375 were included. The observed prevalence of MASLD in individuals with prediabetes was 35.7%. The most effective predictive model included FPG ≥ 110 mg/dL; HbA1c ≥ 6.0%; sex-specific cutoffs for HDL; ALT ≥ 30 IU/L; and BMI levels. This model demonstrated good predictive performance with an AUC of 0.80 (95% CI 0.73-0.86). At a cutoff value of 4.5, the sensitivity was 70.7%, the specificity was 72.3%, the PPV was 58.8%, and the NPV was 81.5%. Our predictive model is practical, easy to use, and relies on common parameters. The scoring system should aid clinicians in determining when further investigations of MASLD are warranted among individuals with prediabetes, especially in settings with limited resources.
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Affiliation(s)
- Nutthachoke Mahachai
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
| | - Chaiwat Washirasaksiri
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Pinyapat Ariyakunaphan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Chayanis Kositamongkol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Tullaya Sitasuwan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Rungsima Tinmanee
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Chonticha Auesomwang
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Naruemit Sayabovorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Thanet Chaisathaphol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Pochamana Phisalprapa
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Phunchai Charatcharoenwitthaya
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Weerachai Srivanichakorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
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Niriella MA, Ediriweera DS, Withanage MY, Darshika S, De Silva ST, Janaka de Silva H. Prevalence and associated factors for non-alcoholic fatty liver disease among adults in the South Asian Region: a meta-analysis. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2023; 15:100220. [PMID: 37614359 PMCID: PMC10442973 DOI: 10.1016/j.lansea.2023.100220] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 02/15/2023] [Accepted: 05/09/2023] [Indexed: 08/25/2023]
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is the commonest chronic liver disease worldwide. We estimated the prevalence and predefined associated factors for NAFLD among South-Asian adults. Methods We searched PubMed and included descriptive, epidemiological studies with satisfactory methodology, reporting the prevalence of NAFLD with ultrasound. Two authors screened and extracted data independently. Gender, urban/rural settings, general population and individuals with metabolic diseases (MetD) stratified the analysis. In addition, a random-effects meta-analysis of the prevalence and effect sizes of associations of NAFLD was performed. Findings Twenty-two publications were included after the quality assurance process. The difference in the NAFLD prevalence between the general population and people with MetD was found to be statistically significant (Q = 15.8, DF = 1, P < 0.001). The pooled overall prevalence of NAFLD in the general population was 26.9% (95% CI: 18.9-35.8%) with high heterogeneity. The prevalence was similar among men and women (Q = 0.06, DF = 1, P = 0.806). The NAFLD prevalence in the rural communities was 22.6% (95% CI: 13.6-33.1%), and the prevalence in urban communities was 32.9% (95% CI: 22.8-43.8%) and the difference was not statistically significant (Q = 1.92, DF = 1, P = 0.166). The pooled overall prevalence of NAFLD in patients with MetD was 54.1% (95% CI: 44.1-63.9%) with high heterogeneity. The pooled overall prevalence of NAFLD in the non-obese population was 11.7% (95% CI: 7.0-17.3%). The pooled prevalence of non-obese NAFLD in the NAFLD population was 43.4% (95% CI: 28.1-59.4%). Meta-analysis of binary variables showed that NAFLD in the South Asian population was associated with diabetes mellitus, hypertension, dyslipidaemia, general obesity, central obesity and metabolic syndrome. Gender was not associated with NAFLD. Interpretation The overall prevalence of NAFLD among adults in South Asia is high, especially in those with MetD, and a considerable proportion is non-obese. In the South Asian population, NAFLD was associated with diabetes mellitus, hypertension, dyslipidaemia, general obesity, central obesity, and metabolic syndrome. Funding None.
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Affiliation(s)
- Madunil Anuk Niriella
- Faculty of Medicine, Department of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | | | | | - Selani Darshika
- Faculty of Medicine, Department of Medicine, University of Kelaniya, Ragama, Sri Lanka
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Ismaiel A, Hosiny BE, Ismaiel M, Leucuta DC, Popa SL, Catana CS, Dumitrascu DL. Waist to height ratio in nonalcoholic fatty liver disease - Systematic review and meta-analysis. Clin Res Hepatol Gastroenterol 2023; 47:102160. [PMID: 37321322 DOI: 10.1016/j.clinre.2023.102160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/14/2023] [Accepted: 06/09/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND AND AIMS Current nonalcoholic fatty liver disease (NAFLD) guidelines do not provide any recommendations regarding the waist-to-height ratio (WHtR), a simple obesity metric calculated by dividing waist circumference by height. Therefore, we performed a systematic review and meta-analysis aiming to evaluate WHtR in NAFLD. METHODS We performed a systematic electronic search on PubMed, Embase, and Scopus, identifying observational studies assessing WHtR in NAFLD. QUADAS-2 tool was used to evaluate the quality of included studies. The two main statistical outcomes were the area under the curve (AUC) and the mean difference (MD). RESULTS We included a total of 27 studies in our quantitative and qualitative synthesis, with a total population of 93,536 individuals. WHtR was significantly higher in NAFLD patients compared to controls with an MD of 0.073 (95% CI 0.058 - 0.088). This was also confirmed after conducting a subgroup analysis according to the hepatic steatosis diagnosis method, for ultrasound (MD 0.066 [96% CI 0.051 - 0.081]) and transient elastography (MD 0.074 [96% CI 0.053 - 0.094]). Moreover, NAFLD male patients presented significantly lower WHtR compared to female patients (MD -0.022 [95% CI -0.041 - -0.004]). The AUC of WHtR for predicting NAFLD was 0.815 (95% CI 0.780 - 0.849). CONCLUSIONS WHtR is considerably higher in NAFLD patients compared to controls. Female NAFLD patients present higher WHtR compared to NAFLD male patients. In comparison to other presently suggested scores and markers, the WHtR's accuracy in predicting NAFLD is considered acceptable.
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Affiliation(s)
- Abdulrahman Ismaiel
- 2nd Department of Internal Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
| | - Blal El Hosiny
- Faculty of Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
| | - Mohamed Ismaiel
- Cardiothoracic Surgery department, Royal Victoria Hospital, Belfast, United Kingdom
| | - Daniel-Corneliu Leucuta
- Department of Medical Informatics and Biostatistics, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.
| | - Stefan-Lucian Popa
- 2nd Department of Internal Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
| | - Cristina Sorina Catana
- Department of Medical Biochemistry, "Iuliu Haţieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Dan L Dumitrascu
- 2nd Department of Internal Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
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Golabi P, Paik JM, Kumar A, Al Shabeeb R, Eberly KE, Cusi K, GunduRao N, Younossi ZM. Nonalcoholic fatty liver disease (NAFLD) and associated mortality in individuals with type 2 diabetes, pre-diabetes, metabolically unhealthy, and metabolically healthy individuals in the United States. Metabolism 2023:155642. [PMID: 37380016 DOI: 10.1016/j.metabol.2023.155642] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/12/2023] [Accepted: 06/22/2023] [Indexed: 06/30/2023]
Abstract
BACKGROUND The prevalence of nonalcoholic fatty liver disease (NAFLD) is high among subjects with type 2 diabetes (T2D). However, the prevalence and outcomes of NAFLD among individuals with pre-diabetes (PreD) and metabolically healthy and metabolically unhealthy individuals without T2D are not known. Our aim was to assess prevalence and mortality of NAFLD among these four groups. METHODS The Third National Health and Nutrition Examination Survey (NHANES) III (1988-1994) with mortality data (follow up to 2019) via linkage to the National Death Index was utilized. NAFLD was defined by ultrasound and absence of other liver diseases and excess alcohol use. Pre-D was defined as fasting plasma glucose values of 100-125 mg/dL and/or HbA1c level between 5.7 %-6.4 % in the absence of established diagnosis of T2D. Metabolically healthy (MH) was defined if all of the following criteria were absent: waist circumference of ≥102 cm (men) or ≥ 88 cm (women) or BMI of ≥30; blood pressure (BP) ≥ 130/85 mmHg or using BP-lowering medication; triglyceride level ≥ 150 mg/dL or using lipid-lowering medication; lipoprotein cholesterol level of <40 mg/dL (men) or < 50 mg/dL (women); homeostasis model assessment of insulin resistance (HOMA-IR) score ≥ 2.5; C-reactive protein (CRP) level of >2 mg/L; Pre-D and T2D. Metabolically unhealthy (MU) individuals were defined as the presence of any component of metabolic syndrome but not having Pre-D and T2D. Competing risk analyses of cause-specific mortality were performed. FINDINGS 11,231 adults (20-74y) were included: mean age 43.4 years; 43.9 % male; 75.4 % white, 10.8 % Black, and 5.4 % Mexican American, 18.9 % NAFLD, 7.8 % T2D; 24.7 % PreD; 44.3 % MU; and 23.3 % in MH individuals. In multivariable adjusted logistic model, as compared to MH individuals, the highest risk of having NAFLD were in T2D individuals (Odd Ratio [OR] = 10.88 [95 % confidence interval: 7.33-16.16]), followed by Pre-D (OR = 4.19 [3.02-5.81]), and MU (OR = 3.36 [2.39-4.71]). During a median follow up of 26.7 years (21.2-28.7 years), 3982 died. NAFLD subjects had significantly higher age-adjusted mortality than non-NAFLD (32.7 % vs. 28.7 %, p < .001). Among subjects with NAFLD, the highest age-standardized cumulative mortality was observed among those with T2D (41.3 %), followed by with Pre-D (35.1 %), MU subjects (30.0 %), and MH subjects (21.9 %) (pairwise p-values<.04 vs. ND with MH). Multivariable adjusted cox models showed that NAFLD with T2D had a higher risk of all-causes and cardiac-specific deaths (Hazard Ratio [HR] = 4.71 [2.23-9.96] and HR = 20.01 [3.00-133.61]), followed by NAFLD with Pre-D (HR = 2.91 [1.41-6.02] and HR = 10.35 [1.57-68.08]) and metabolically unhealthy NAFLD (HR = 2.59 [1.26-5.33] and HR = 6.74 [0.99-46.03]) compared to metabolically healthy NAFLD. In addition to older age, independent predictors of mortality among NAFLD with T2D included high CRP, CVD, CKD, high FIB-4, and active smoking. Similarly, among NAFLD with PreD, high CRP, CKD, CVD, hypertension, and active smoking were associated with mortality. Finally, CVD and active smoking were predictors of mortality among metabolically unhealthy NAFLD, and active smoking was the only mortality risk among metabolically healthy NAFLD subjects. INTERPRETATION Metabolic abnormality impacts both prevalence and outcomes of subjects with NAFLD.
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Affiliation(s)
- Pegah Golabi
- Department of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, United States; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, United States
| | - James M Paik
- Department of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, United States; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, United States
| | - Ameeta Kumar
- Department of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, United States
| | - Reem Al Shabeeb
- Department of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, United States
| | - Kathrine E Eberly
- Department of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, United States
| | - Kenneth Cusi
- Division of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, FL, United States
| | - Nagashree GunduRao
- Department of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, United States; Inova Medicine, Inova Health System, Falls Church, VA, United States
| | - Zobair M Younossi
- Department of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, United States; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, United States; Inova Medicine, Inova Health System, Falls Church, VA, United States.
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8
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Kosmalski M, Śliwińska A, Drzewoski J. Non-Alcoholic Fatty Liver Disease or Type 2 Diabetes Mellitus—The Chicken or the Egg Dilemma. Biomedicines 2023; 11:biomedicines11041097. [PMID: 37189715 DOI: 10.3390/biomedicines11041097] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/28/2023] [Accepted: 03/28/2023] [Indexed: 04/08/2023] Open
Abstract
In clinical practice, we often deal with patients who suffer from non-alcoholic fatty liver disease (NAFLD) concurrent with type 2 diabetes mellitus (T2DM). The etiopathogenesis of NAFLD is mainly connected with insulin resistance (IR) and obesity. Similarly, the latter patients are in the process of developing T2DM. However, the mechanisms of NAFLD and T2DM coexistence have not been fully elucidated. Considering that both diseases and their complications are of epidemic proportions and significantly affect the length and quality of life, we aimed to answer which of these diseases appears first and thereby highlight the need for their diagnosis and treatment. To address this question, we present and discuss the epidemiological data, diagnoses, complications and pathomechanisms of these two coexisting metabolic diseases. This question is difficult to answer due to the lack of a uniform procedure for NAFLD diagnosis and the asymptomatic nature of both diseases, especially at their beginning stages. To conclude, most researchers suggest that NAFLD appears as the first disease and starts the sequence of circumstances leading ultimately to the development of T2DM. However, there are also data suggesting that T2DM develops before NAFLD. Despite the fact that we cannot definitively answer this question, it is very important to bring the attention of clinicians and researchers to the coexistence of NAFLD and T2DM in order to prevent their consequences.
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Affiliation(s)
- Marcin Kosmalski
- Department of Clinical Pharmacology, Medical University of Lodz, 90-153 Lodz, Poland
| | - Agnieszka Śliwińska
- Department of Nucleic Acids Biochemistry, Medical University of Lodz, 92-213 Lodz, Poland
| | - Józef Drzewoski
- Central Teaching Hospital of Medical University of Lodz, 92-213 Lodz, Poland
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9
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Shaheen M, Schrode KM, Tedlos M, Pan D, Najjar SM, Friedman TC. Racial/ethnic and gender disparity in the severity of NAFLD among people with diabetes or prediabetes. Front Physiol 2023; 14:1076730. [PMID: 36891143 PMCID: PMC9986441 DOI: 10.3389/fphys.2023.1076730] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/03/2023] [Indexed: 02/22/2023] Open
Abstract
Aim: Non-alcoholic fatty liver disease (NAFLD) exhibits a racial disparity. We examined the prevalence and the association between race, gender, and NAFLD among prediabetes and diabetes populations among adults in the United States. Methods: We analyzed data for 3,190 individuals ≥18 years old from the National Health and Nutrition Examination Survey (NHANES) 2017-2018. NAFLD was diagnosed by FibroScan® using controlled attenuation parameter (CAP) values: S0 (none) < 238, S1 (mild) = 238-259, S2 (moderate) = 260-290, S3 (severe) > 290. Data were analyzed using Chi-square test and multinomial logistic regression, adjusting for confounding variables and considering the design and sample weights. Results: Of the 3,190 subjects, the prevalence of NAFLD was 82.6%, 56.4%, and 30.5% (p < 0.0001) among diabetes, prediabetes and normoglycemia populations respectively. Mexican American males with prediabetes or diabetes had the highest prevalence of severe NAFLD relative to other racial/ethnic groups (p < 0.05). In the adjusted model, among the total, prediabetes, and diabetes populations, a one unit increase in HbA1c was associated with higher odds of severe NAFLD [adjusted odds ratio (AOR) = 1.8, 95% confidence level (CI) = 1.4-2.3, p < 0.0001; AOR = 2.2, 95% CI = 1.1-4.4, p = 0.033; and AOR = 1.5, 95% CI = 1.1-1.9, p = 0.003 respectively]. Conclusion: We found that prediabetes and diabetes populations had a high prevalence and higher odds of NAFLD relative to the normoglycemic population and HbA1c is an independent predictor of NAFLD severity in prediabetes and diabetes populations. Healthcare providers should screen prediabetes and diabetes populations for early detection of NAFLD and initiate treatments including lifestyle modification to prevent the progression to non-alcoholic steatohepatitis or liver cancer.
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Affiliation(s)
- Magda Shaheen
- Charles R. Drew University, Los Angeles, CA, United States
| | | | | | - Deyu Pan
- Charles R. Drew University, Los Angeles, CA, United States
| | - Sonia M. Najjar
- Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, United States
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10
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Elevated fasting glucose level increases the risk of fatty liver disease: a 10-year study of 31,154 individuals. BMC Gastroenterol 2022; 22:521. [PMID: 36526962 PMCID: PMC9756490 DOI: 10.1186/s12876-022-02615-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES Dysglycemia promotes the occurrence of fatty liver disease (FLD). However, the process is unclear. This study aimed to analyze the median time-to-onset, cumulative prevalence and influencing factors for the occurrence of FLD in people undergoing routine screening and evaluation. METHODS Data from Karamay Central Hospital (September 2008-April 2017) were analyzed. Survival analysis was performed to calculate the median time and cumulative prevalence of FLD associated with normal and elevated fasting blood glucose (FBG) levels. Cox proportional hazards model was used to determine risk factors. RESULTS A total of 31,154 participants were included in the two cohorts of this study, including 15,763 men. The mean age was 41.1 ± 12.2 years. There were 2230 patients (1725 male) in the elevated FBG group, the median age was 53 years (range 21-85 years), the median time-to-onset of FLD was 5.2 years. The incidence of FLD was 121/1000 person-years, and the 1-, 3-, 5-, and 7-year prevalence rates were 4%, 30%, 49%, and 64%, respectively. The normal FBG group included 28,924 participants (14,038 male), the median age was 40 years (range 17-87 years), and the corresponding values were as follows: 8.3 years, 66/1000 person-years, and 3%, 16%, 28%, and 41%, respectively. The Cox proportional hazards analysis revealed that age, blood pressure, FBG, body mass index and triglycerides were independent influencing factors for FLD in individuals (P < 0.05). CONCLUSIONS Elevated FBG levels increase the risk of FLD and should be treated promptly.
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11
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Teng F, Ye Y, Wang L, Qin R, Liu X, Geng H, Xu W, Lai P, Liang J. Association between serum gamma glutamyl transferase and fasting blood glucose in Chinese people: A 6-year follow-up study. J Diabetes Investig 2022; 14:339-343. [PMID: 36412546 PMCID: PMC9889614 DOI: 10.1111/jdi.13947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 10/25/2022] [Accepted: 11/02/2022] [Indexed: 11/23/2022] Open
Abstract
AIMS/INTRODUCTION In this study, we aimed to investigate the relationships between gamma-glutamyl transferase (GGT) and fasting blood glucose (FBG) during a 6-year follow-up study of participants, and to determine whether GGT is a risk factor for FBG. MATERIALS AND METHODS A total of 1,369 individuals from the health examination survey in the urban area of Xuzhou, central China, were followed up for 6 years. The patients were divided into four groups based on their baseline GGT levels (in quartiles). The one-way analysis of variance (anova) method was used to compare the differences between the variables and baseline. The relationship between GGT and FBG levels was investigated using repeated measurements anova. RESULTS The grouping of baseline GGT levels affected the changes in blood glucose during the 6-year follow-up study. In the GGT quartile subgroups, the annual mean increase in FBG levels showed a positive relationship with baseline GGT levels. This trend was even more aggregated in the highest baseline GGT group. Interactions among time course, baseline FBG and GGT groups in different participants together affected the change of FBG levels during the follow-up period. The repeated measures anova suggested that different baseline GGT groups were still significantly associated with increased FBG levels. GGT is a risk factor that affects FBG levels(P < 0.001). CONCLUSIONS The annual mean increase in FBG levels showed a positive relationship with baseline GGT levels. Higher baseline GGT levels resulted in a faster annual mean increase in FBG. Thus, GGT can be used for the early detection of FBG-related disorders of glucose metabolism for clinical application.
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Affiliation(s)
- Fei Teng
- Present address:
Department of EndocrinologyXuzhou Central HospitalXuzhou, JiangsuChina,Xuzhou Institute of Medical SciencesXuzhou, JiangsuChina
| | - Yan Ye
- Present address:
Department of EndocrinologyXuzhou Central HospitalXuzhou, JiangsuChina,The Xuzhou Clinical College of Xuzhou Medical UniversityXuzhou, JiangsuChina
| | - Liying Wang
- Present address:
Department of EndocrinologyXuzhou Central HospitalXuzhou, JiangsuChina
| | - Ruihao Qin
- Present address:
Department of EndocrinologyXuzhou Central HospitalXuzhou, JiangsuChina,Department of General SurgeryXuzhou Central HospitalXuzhou, JiangsuChina
| | - Xuekui Liu
- Present address:
Department of EndocrinologyXuzhou Central HospitalXuzhou, JiangsuChina,Xuzhou Institute of Medical SciencesXuzhou, JiangsuChina
| | - Houfa Geng
- Present address:
Department of EndocrinologyXuzhou Central HospitalXuzhou, JiangsuChina
| | - Wei Xu
- Present address:
Department of EndocrinologyXuzhou Central HospitalXuzhou, JiangsuChina
| | - Peng Lai
- The Xuzhou Clinical College of Xuzhou Medical UniversityXuzhou, JiangsuChina
| | - Jun Liang
- The Xuzhou Clinical College of Xuzhou Medical UniversityXuzhou, JiangsuChina
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12
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Ng CH, Chan KE, Chin YH, Zeng RW, Tsai PC, Lim WH, Tan DJH, Khoo CM, Goh LH, Ling ZJ, Kulkarni A, Mak LYL, Huang DQ, Chan M, Chew NW, Siddiqui MS, Sanyal AJ, Muthiah M. The Effect of Diabetes and Prediabetes on the Prevalence, Complications and Mortality in Non-alcoholic Fatty Liver Disease. Clin Mol Hepatol 2022; 28:565-574. [PMID: 35585687 PMCID: PMC9293620 DOI: 10.3350/cmh.2022.0096] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/16/2022] [Indexed: 11/17/2022] Open
Abstract
Background/Aims Nonalcoholic fatty liver disease (NAFLD) is closely associated with diabetes. The cumulative impact of both diseases synergistically increases risk of adverse events. However, present population analysis is predominantly conducted with reference to non-NAFLD individuals and has not yet examined the impact of prediabetes. Hence, we sought to conduct a retrospective analysis on the impact of diabetic status in NAFLD patients, referencing non-diabetic NAFLD individuals. Methods Data from the National Health and Nutrition Examination Survey 1999–2018 was used. Hepatic steatosis was defined with United States Fatty Liver Index (US-FLI) and FLI at a cut-off of 30 and 60 respectively, in absence of substantial alcohol use. A multivariate generalized linear model was used for risk ratios of binary outcomes while survival analysis was conducted with Cox regression and Fine Gray model for competing risk. Results Of 32,234 patients, 28.92% were identified to have NAFLD. 36.04%, 38.32% and 25.63% were non-diabetic, prediabetic and diabetic respectively. Diabetic NAFLD significantly increased risk of cardiovascular disease (CVD), stroke, chronic kidney disease, all-cause and CVD mortality compared to non-diabetic NAFLD. However, prediabetic NAFLD only significantly increased the risk of CVD and did not result in a higher risk of mortality. Conclusions Given the increased risk of adverse outcomes, this study highlights the importance of regular diabetes screening in NAFLD and adoption of prompt lifestyle modifications to reduce disease progression. Facing high cardiovascular burden, prediabetic and diabetic NAFLD individuals can benefit from early cardiovascular referrals to reduce risk of CVD events and mortality.
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Affiliation(s)
- Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kai En Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Pei Chen Tsai
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Darren Jun Hao Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chin Meng Khoo
- Division of Endocrinology, Department of Medicine, National University Hospital, Singapore
| | - Lay Hoon Goh
- Division of Family Medicine, Yong Loo Lin School of Medicine, National University of Singapore.,Department of Family Medicine, National University Health System, Singapore
| | - Zheng Jye Ling
- Department of Family Medicine, National University Health System, Singapore.,Medical Informatics, Regional Health System, National University Health System, Singapore
| | - Anand Kulkarni
- Department of Hepatology, AIG Hospitals,Hyderabad, India
| | - Lung-Yi Loey Mak
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Daniel Q Huang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore.,National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Mark Chan
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Nicholas Ws Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Mohammad Shadab Siddiqui
- Cedars-Sinai Fatty Liver Program, Division of Digestive and Liver Diseases, Department of Medicine, Comprehensive Transplant Centre, Cedars-Sinai Medical Centre, Los Angeles, CA, USA
| | - Arun J Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore.,National University Centre for Organ Transplantation, National University Health System, Singapore
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13
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Exercise Affects the Formation and Recovery of Alcoholic Liver Disease through the IL-6-p47 phox Oxidative-Stress Axis. Cells 2022; 11:cells11081305. [PMID: 35455983 PMCID: PMC9026480 DOI: 10.3390/cells11081305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/08/2022] [Accepted: 04/09/2022] [Indexed: 02/06/2023] Open
Abstract
(1) Background: To explore the effect of exercise on the formation and recovery of alcoholic liver disease (ALD) and whether the IL-6−p47phox oxidative−stress axis is involved in that process. (2) Methods: Firstly, 23 six-week-old male C57BL/6J mice were randomly divided into the Con group, ALD group, ALD + NOXI group, ALD + Ex group, and ALD + Ex + NOXI group. The Liber−DeCarli alcoholic liquid diet was used for 6 weeks to establish the ALD mice model, and the Con group was given the TP4030C control diet. The remaining groups were fed with the TP4030B alcoholic diet, and exercise intervention was started after the ALD model establishment and lasted for another 6 weeks, with or without administration of the NOX inhibitor apocynin by intraperitoneal injection on every exercise training day. Secondly, 28 mice were randomly divided into the Sed group, Eth group, Eth + Ex group and Eth + Ex + NOXI group. The Sed group was given the TP4030C control diet. The remaining groups were fed with the TP4030B alcoholic diet and exercise intervention was started synchronously combined with or without administration of intraperitoneal apocynin injections on every exercise training day for 5 weeks. After each individual experiment was accomplished, physiological assessment and biochemical analysis of blood and tissue samples were examined. (3) Results: The levels of TG in serum and IL-6 protein content in liver tissue in the ALD group were significantly increased compared to the Con group (p < 0.05); compared with ALD, p47phox expression in muscle was increased significantly in the ALD + NOXI group (p < 0.05), and TG in serum decreased in the ALD + Ex group (p < 0.05). TG in serum, AST/ALT ratio, and IL-6 content in both liver and muscle decreased (p < 0.05) in the ALD + Ex + NOXI group with MDA in muscle significantly increased (p < 0.01). The AST/ALT ratio, TG in serum, SOD in liver, and p47phox in both liver and muscle in the ALD + Ex + NOXI group were significantly decreased compared with the ALD + NOXI group (p < 0.01). Compared with the ALD + Ex group, the liver index and HDL-C levels in serum were decreased (p < 0.05) in the ALD + Ex + NOXI group. The degree of hepatocyte steatosis and inflammatory infiltration were ameliorated after exercise intervention. In the Eth group, the relative epididymal fat content, HDL-C level, and AST/ALT ratio were significantly decreased, and TG and gp91phox in liver were significantly higher than in the Sed group (p < 0.05, p < 0.01). Compared with the Eth group, the AST/ALT ratio, MDA in the liver, and NOX4 and p47phox protein expression in the liver were significantly increased, and body weight decreased significantly in the Eth + Ex group (p < 0.05, p < 0.01), as did TG in the liver and MDA in muscle. In the th + Ex + NOXI group, gp91phox expression in the liver and body weight were significantly decreased (p < 0.05, p < 0.01). In the Eth + Ex + NOXI group, the ratio of AST/ALT and MDA in muscle were increased when compared with the Eth + Ex group, and the protein expression of gp91phox and p47phox were much lower (p < 0.01). (4) Conclusions: 6 weeks of exercise intervention during the recovery phase of ALD ameliorates hepatocyte damage and dyslipidemia through the IL-6−p47phox oxidative−stress axis, and applying a NOX inhibitor in combination could optimize this. However, drinking alcohol during exercise exacerbates dyslipidemia and oxidative stress, with hepatocyte IL-6−p47phox downregulated.
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14
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Claypool K, Patel CJ. Prevalence of Fatty Liver Disease is Driven by Prediabetes and Diabetes: US NHANES 2017-2018. Clin Gastroenterol Hepatol 2022; 20:712-713. [PMID: 33965575 DOI: 10.1016/j.cgh.2021.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 05/02/2021] [Indexed: 02/07/2023]
Affiliation(s)
- Kajal Claypool
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts; MIT Lincoln Laboratory, Biological and Chemical Technologies Group, Lexington, Massachusetts
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
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15
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Shalimar, Elhence A, Bansal B, Gupta H, Anand A, Singh TP, Goel A. Prevalence of Non-alcoholic Fatty Liver Disease in India: A Systematic Review and Meta-analysis. J Clin Exp Hepatol 2022; 12:818-829. [PMID: 35677499 PMCID: PMC9168741 DOI: 10.1016/j.jceh.2021.11.010] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 11/18/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) contributes to a large proportion of liver disease burden in the world. Several groups have studied the prevalence of NAFLD in the Indian population. AIM A systematic review of the published literature and meta-analysis was carried out to estimate the prevalence of NAFLD in the Indian population. METHODS English language literature published until April 2021 was searched from electronic databases. Original data published in any form which had reported NAFLD prevalence in the Indian population were included. The subgroup analysis of prevalence was done based on the age (adults or children) and risk category, i.e., average-risk group (community population, participants of control arm, unselected participants, hypothyroidic individuals, athletes, aviation crew, and army personnel) and high-risk group (obesity or overweight, diabetes mellitus, coronary artery disease, etc.). The prevalence estimates were pooled using the random-effects model. Heterogeneity was assessed with I2. RESULTS Sixty-two datasets (children 8 and adults 54) from 50 studies were included. The pooled prevalence of NAFLD was estimated from 2903 children and 23,581 adult participants. Among adults, the estimated pooled prevalence was 38.6% (95% CI 32-45.5). The NAFLD prevalence in average-risk and high-risk subgroups was estimated to be 28.1% (95% CI 20.8-36) and 52.8% (95% CI 46.5-59.1), respectively. The estimated NAFLD prevalence was higher in hospital-based data (40.8% [95% CI 32.6-49.3%]) than community-based data (28.2% [95% CI 16.9-41%]). Among children, the estimated pooled prevalence was 35.4% (95% CI 18.2-54.7). The prevalence among non-obese and obese children was 12.4 (95% CI 4.4-23.5) and 63.4 (95% CI 59.4-67.3), respectively. CONCLUSION Available data suggest that approximately one in three adults or children have NAFLD in India.
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Key Words
- ALT, Alanine aminotransferase
- AST, Aspartate aminotransferase
- BMI, Body mass index
- CAD, Coronary artery disease
- CI, Confidence interval
- DM, Diabetes mellitus
- GBD, Global burden of disease
- GDM, Gestational diabetes mellitus
- GDP, Gross domestic product
- HC, Healthy control
- IGT, Impaired glucose tolerance
- NAFLD, Non-alcoholic fatty liver disease
- NASH, Non-alcoholic steatohepatitis
- NPCDCS, National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke
- OSA, Obstructive sleep apnea
- PCOS, Polycystic ovarian syndrome
- UT, Union Territories
- diabetes mellitus
- fatty liver
- metabolic syndrome
- obesity
- steatohepatitis
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Affiliation(s)
- Shalimar
- All India Institute of Medical Sciences, New Delhi, India
| | - Anshuman Elhence
- Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Bhavik Bansal
- All India Institute of Medical Sciences, New Delhi, India
| | - Hardik Gupta
- All India Institute of Medical Sciences, New Delhi, India
| | - Abhinav Anand
- All India Institute of Medical Sciences, New Delhi, India
| | - Thakur P. Singh
- Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Amit Goel
- Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India,Address for correspondence: Amit Goel, Additional Professor, Department of Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
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16
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Li M, Zhao Z, Qin G, Chen L, Lu J, Huo Y, Chen L, Zeng T, Xu M, Chen Y, Wang T, Wang S, Xu Y, Shi L, Tang X, Su Q, Yu X, Yan L, Wan Q, Chen G, Gao Z, Wang G, Shen F, Luo Z, Zhang Y, Liu C, Wang Y, Hu R, Ye Z, Wu S, Deng H, Yang T, Li Q, Qin Y, Mu Y, Zhao J, Ning G, Bi Y, Xu Y, Wang W. Non-alcoholic fatty liver disease, metabolic goal achievement with incident cardiovascular disease and eGFR-based chronic kidney disease in patients with prediabetes and diabetes. Metabolism 2021; 124:154874. [PMID: 34517014 DOI: 10.1016/j.metabol.2021.154874] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/27/2021] [Accepted: 08/29/2021] [Indexed: 02/07/2023]
Abstract
AIMS/HYPOTHESIS We aimed to evaluate the effect of NAFLD on the risk of incident cardiovascular disease (CVD) and estimated glomerular filtration rate (eGFR)-based chronic kidney disease (CKD), and further test the joint effects and interactions between NAFLD status and individual metabolic element, as well as the total 'ABCs' metabolic goal achievement, on the CVD and CKD risk among 101,296 patients with prediabetes or diabetes from a prospective cohort study. METHODS We conducted the study based on the China Cardiometabolic Disease and Cancer Cohort (4C) study, a large-scale, population-based prospective cohort. After excluding alcohol abuse and other cause of hepatic diseases, we used fatty liver index (FLI) ≥ 60 as a proxy of NAFLD and stratified the probability of fibrosis by aspartate transaminase/alanine transaminase ratio (AAR) with cut-offs of 0.8 and 1.4. 'ABCs' metabolic goal was defined as subjects who had HbA1c < 6.5% (A), SBP/DBP < 130/80 mmHg (B), and LDL-C < 100 mg/dL (C). During 3.8 years follow-up, we validated 2340 CVD events based on medical records and identified 1943 participants developed CKD based on centrally tested eGFR. RESULTS The multivariable adjusted hazard ratios (HRs) were 1.15 (95% confidence interval (CI), 1.05-1.27) for CVD events and 1.33 (95% CI, 1.20-1.48) for CKD among NAFLD patients, compared with participants without NAFLD. Of NAFLD patients, relative to individuals with low AAR (<0.8), those with high AAR (≥1.4) were more likely to experience CVD events [1.62 (1.21-2.18)] and CKD [1.63 (1.17-2.28)]. Participants with NAFLD and comorbid poorly controlled metabolic risk factors had higher risk of CVD events or CKD than having either alone, with a significant interaction between poor glycemic control and NAFLD on the risk of vascular complications. CONCLUSIONS NAFLD was associated with incident CVD and CKD among patients with prediabetes or diabetes. Such associations were substantially modified by the comprehensive achievement of metabolic goal.
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Affiliation(s)
- Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yiping Xu
- Clinical Trials Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
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Ma Q, Liao X, Shao C, Lin Y, Wu T, Sun Y, Feng ST, Ye J, Zhong B. Normalization of γ-glutamyl transferase levels is associated with better metabolic control in individuals with nonalcoholic fatty liver disease. BMC Gastroenterol 2021; 21:215. [PMID: 33971815 PMCID: PMC8112063 DOI: 10.1186/s12876-021-01790-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 04/26/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The normalization of liver biochemical parameters usually reflects the histological response to treatment for nonalcoholic fatty liver disease (NAFLD). Researchers have not clearly determined whether different liver enzymes exhibit various metabolic changes during the follow-up period in patients with NAFLD. METHODS We performed a retrospective analysis of patients with NAFLD who were receiving therapy from January 2011 to December 2019. Metabolism indexes, including glucose levels, lipid profiles, uric acid levels and liver biochemical parameters, were measured. Magnetic resonance imaging-based proton density fat fraction (MRI-PDFF) and liver ultrasound were used to evaluate steatosis. All patients received recommendations for lifestyle modifications and guideline-recommended pharmacological treatments with indications for drug therapy for metabolic abnormalities. RESULTS Overall, 1048 patients with NAFLD were included and received lifestyle modification recommendations and pharmaceutical interventions, including 637 (60.7%) patients with abnormal GGT levels and 767 (73.2%) patients with abnormal ALT levels. Patients with concurrent ALT and GGT abnormalities presented higher levels of metabolism indexes and higher liver fat content than those in patients with single or no abnormalities. After 12 months of follow-up, the cumulative normalization rate of GGT was considerably lower than that of ALT (38% vs. 62%, P < 0.001). Greater weight loss resulted in higher cumulative normalization rates of GGT and ALT. Weight loss (OR = 1.21, 95% CI 1.11-1.32, P < 0.001), ALT normalization (OR = 2.75, 95% CI 1.41-5.36, P = 0.01) and lower TG and HOMA-IR values (OR = 2.03, 95% CI 1.11-3.71, P = 0.02; OR = 2.04, 95% CI 1.07-3.89, P = 0.03) were independent protective factors for GGT normalization. Elevated baseline GGT (OR = 0.99, 95% CI 0.98-0.99, P = 0.01) was a risk factor. CONCLUSIONS For NAFLD patients with concurrently increased ALT and GGT levels, a lower normalization rate of GGT was observed, rather than ALT. Good control of weight and insulin resistance was a reliable predictor of GGT normalization.
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Affiliation(s)
- Qianqian Ma
- Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou, 510080, China
| | - Xianhua Liao
- Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou, 510080, China
| | - Congxiang Shao
- Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou, 510080, China
| | - Yansong Lin
- Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou, 510080, China
| | - Tingfeng Wu
- Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou, 510080, China
| | - Yanhong Sun
- Department of Clinical Laboratories, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Shi-Ting Feng
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Junzhao Ye
- Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou, 510080, China.
| | - Bihui Zhong
- Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou, 510080, China.
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Liver fat scores do not reflect interventional changes in liver fat content induced by high-protein diets. Sci Rep 2021; 11:8843. [PMID: 33893355 PMCID: PMC8065150 DOI: 10.1038/s41598-021-87360-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 02/03/2021] [Indexed: 11/16/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is common in Metabolic Syndrome and type 2 diabetes (T2DM), driven by energy imbalance, saturated fats and simple carbohydrates. NAFLD requires screening and monitoring for late complications. Liver fat indices may predict NAFLD avoiding expensive or invasive gold-standard methods, but they are poorly validated for use in interventional settings. Recent data indicate a particular insensitivity to weight-independent liver fat reduction. We evaluated 31 T2DM patients, completing a randomized intervention study on isocaloric high-protein diets. We assessed anthropometric measures, intrahepatic lipid (IHL) content and serum liver enzymes, allowing AUROC calculations as well as cross-sectional and longitudinal Spearman correlations between the fatty liver index, the NAFLD-liver fat score, the Hepatosteatosis Index, and IHL. At baseline, all indices predicted NAFLD with moderate accuracy (AUROC 0.731–0.770), supported by correlation analyses. Diet-induced IHL changes weakly correlated with changes of waist circumference, but no other index component or the indices themselves. Liver fat indices may help to easily detect NAFLD, allowing cost-effective allocation of further diagnostics to patients at high risk. IHL reduction by weight-independent diets is not reflected by a proportional change in liver fat scores. Further research on the development of treatment-sensitive indices is required. Trial registration: The trial was registered at clinicaltrials.gov: NCT02402985.
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Wang Y, Wu T, Zang X, Liu X, Xu W, Lai P, Wang Y, Teng F, Qiu Q, Geng H, Liang J. Relationship Between Serum Gamma-Glutamyl Transferase Level and Impaired Fasting Glucose Among Chinese Community-Dwelling Adults: A Follow-Up Observation of 6 Years. Metab Syndr Relat Disord 2020; 19:100-106. [PMID: 33170087 DOI: 10.1089/met.2020.0032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Objective: We aimed to investigate the relationship between serum gamma-glutamyl transferase (GGT) and fasting blood glucose (FBG) levels, as well as the cumulative risk of impaired fasting glucose (IFG) regulation in the Chinese adult population after 6 years of follow-up. Methods: A total of 1360 apparently healthy Chinese men and women who completed a community-based health examination survey and did not have IFG in central China in 2010 and 2016 were included in this study. The patients were divided into four groups according to their baseline GGT (in quartiles). The relationship between GGT levels and FBG levels was examined using general linear regression models. The effect of the GGT level on the risk of IFG was analyzed using multivariate logistic regression. The first quartile group of GGT levels was set as the dummy variable in the model, and the odds ratios and 95% confidence intervals of the remaining quartile groups relative to the first quartile group were obtained. Results: After 6 years of follow-up, 16.4% (188/1148) of participants were diagnosed with IFG. The cumulative incidence of IFG in the four groups according to their baseline GGT levels (in quartiles) was 7.7%, 16.1%, 15.8%, and 26.8%, respectively. Based on the Cox multiple regression, the hazard ratio for IFG increased by 28.9% for each unit of increase in the baseline GGT level after adjusting for the confounding factors. The GGT levels of participants in the first quartile were used as the reference group. The relative risks of IFG in the second, third, and fourth quartiles of GGT were 1.70, 1.55, and 2.46, respectively (P = 0.005). Conclusions: GGT was positively associated with the risk of IFG and can be used as an indicator to assess whether a patient may develop prediabetes.
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Affiliation(s)
- Yun Wang
- The Graduate School, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tingting Wu
- The Graduate School, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiu Zang
- Department of Endocrinology, Xuzhou Central Hospital; Affiliated Hospital of Medical College of Southeast University; Affiliated Hospital of Nanjing University of Chinese Medicine, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China
| | - Xuekui Liu
- Department of Endocrinology, Xuzhou Central Hospital; Affiliated Hospital of Medical College of Southeast University; Affiliated Hospital of Nanjing University of Chinese Medicine, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China
| | - Wei Xu
- Department of Endocrinology, Xuzhou Central Hospital; Affiliated Hospital of Medical College of Southeast University; Affiliated Hospital of Nanjing University of Chinese Medicine, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China
| | - Peng Lai
- The Graduate School, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yu Wang
- Department of Endocrinology, Xuzhou Central Hospital; Affiliated Hospital of Medical College of Southeast University; Affiliated Hospital of Nanjing University of Chinese Medicine, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China
| | - Fei Teng
- Department of Endocrinology, Xuzhou Central Hospital; Affiliated Hospital of Medical College of Southeast University; Affiliated Hospital of Nanjing University of Chinese Medicine, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China
| | - Qinqin Qiu
- Department of Endocrinology, Xuzhou Central Hospital; Affiliated Hospital of Medical College of Southeast University; Affiliated Hospital of Nanjing University of Chinese Medicine, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China
| | - Houfa Geng
- Department of Endocrinology, Xuzhou Central Hospital; Affiliated Hospital of Medical College of Southeast University; Affiliated Hospital of Nanjing University of Chinese Medicine, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China
| | - Jun Liang
- Department of Endocrinology, Xuzhou Central Hospital; Affiliated Hospital of Medical College of Southeast University; Affiliated Hospital of Nanjing University of Chinese Medicine, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China
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Li C, Chou Y, Shen W, Lu F, Yang Y, Wu J, Chang C. Increased risks of different grades of non-alcoholic fatty liver disease in prediabetic subjects with impaired fasting glucose and glucose tolerance, including the isolated glycosylated hemoglobin levels of 5.7-6.4% in a Chinese population. J Diabetes Investig 2020; 11:1336-1343. [PMID: 32270583 PMCID: PMC7477498 DOI: 10.1111/jdi.13268] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 03/05/2020] [Accepted: 03/24/2020] [Indexed: 12/16/2022] Open
Abstract
AIMS/INTRODUCTION Contrary to the results of the majority of studies on diabetes, there are some conflicting results regarding the relationship between non-alcoholic fatty liver disease (NAFLD) and prediabetes. No study has investigated the relationship between isolated glycated hemoglobin (HbA1c) in the range of 5.7-6.4% (HbA1c 5.7-6.4%) and NAFLD. Our aim was to investigate the effect of different glycemic statuses on NAFLD concomitantly categorized by fasting plasma glucose, 2-h plasma glucose and HbA1c levels. MATERIALS AND METHODS NAFLD was classified into three groups by ultrasonographic examination results: normal, mild and moderate-to-severe. Glycemic status was divided into five groups: normoglycemia, isolated HbA1c 5.7-6.4%, impaired fasting glucose without impaired glucose tolerance (IGT), IGT and newly diagnosed diabetes. For multivariable logistic regression analyses, the outcome variable was the classified three grades of fatty changes in the liver after adjusting for other potential risk covariables. RESULTS In this cross-sectional research, a total of 8,571 eligible individuals were enrolled and divided into three groups: 5,499 without fatty liver, 2,113 with mild NAFLD and 959 with moderate-to-severe NAFLD. Multivariable logistic regression analysis showed that IGT, impaired fasting glucose without IGT and isolated HbA1c 5.7-6.4% were associated with a higher risk of NAFLD in addition to newly diagnosed diabetes. Other positively predictive variables were male sex, obesity, overweight, central obesity, increased triglyceride and C-reactive protein >1 mg/L. Negatively associated factors were elevated high-density lipoprotein cholesterol levels. CONCLUSIONS Besides diabetes, the increased risks of different grades of NAFLD were found for prediabetic individuals categorized by impaired fasting glucose without IGT, IGT and isolated HbA1c 5.7-6.4%.
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Affiliation(s)
- Chung‐Hao Li
- Department of Health Management CenterNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of Family MedicineNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
| | - Yu‐Tsung Chou
- Department of Health Management CenterNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of Family MedicineNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
| | - Wei‐Chen Shen
- Department of Family MedicineNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
| | - Feng‐Hwa Lu
- Department of Family MedicineNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of Family MedicineCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of Geriatrics and GerontologyNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
| | - Yi‐Ching Yang
- Department of Family MedicineNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of Family MedicineCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
| | - Jin‐Shang Wu
- Department of Family MedicineNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of Family MedicineCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of Family MedicineNational Cheng Kung University HospitalDou-Liou BranchCollege of MedicineNational Cheng Kung UniversityYunlinTaiwan
| | - Chih‐Jen Chang
- Department of Family MedicineNational Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of Family MedicineDitmanson Medical Foundation Chia-yi Christian HospitalChiayiTaiwan
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Zhang X, Zhou X, Han X, Fu Z, Wang L, Li Y, Ji L. The Morbidity and Comorbidity of Nonalcoholic Fatty Liver Disease and Different Glucose Intolerance Strata in a Community-Based Chinese Population. Metab Syndr Relat Disord 2020; 18:284-290. [PMID: 32460629 PMCID: PMC7407000 DOI: 10.1089/met.2019.0107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Objective: To investigate the morbidity and comorbidity of nonalcoholic fatty liver disease (NAFLD) and different glucose intolerance strata in a community-based population and to explore the association between glucose tolerance levels and NAFLD. Methods: A community-based cohort established for Pinggu Metabolic Disease Study in a suburb of Beijing, China, was established from September 2013 to July 2014 using a random sampling method. Participants were eligible if they were born in Pinggu and had been living there for at least 5 years within the age range of 26-76 years. A 75 grams oral glucose tolerance test was used to determine the strata of glucose tolerance. Unenhanced abdominal computed tomography scan was performed to identify NAFLD. Results: A total of 3122 subjects were included in this analysis. The prevalence of NAFLD was 22.68% (27.58% vs. 19.97% among men and women). The prevalence of type 2 diabetes (T2D) was 18.03% (20.83% vs. 16.22% among men and women). Up to 7.21% of residents had both T2D and NAFLD. 39.96% of diabetic patients and 28.77% of prediabetic patients combined with NAFLD. Compared with adults with normal glucose tolerance, the incidence of NAFLD in T2D patients was more than three times higher after adjusting for sex, age, body mass index (BMI), sedentary time, and dietary habit [odds ratio (OR) = 3.58, confidence interval (95% CI) 2.80-4.58, P < 0.001]. NAFLD was also more common in individuals with prediabetes, especially patients with impaired glucose tolerance (IGT) (OR = 2.27, 1.75-2.95) or impaired fasting glucose+IGT (OR = 2.78, 1.92-4.03). Conclusions: The morbidity and comorbidity of NAFLD and glucose intolerance are high in the Pinggu population in northern China, highlighting the importance of early prevention and treatment of these two diseases at the same time.
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Affiliation(s)
- Xiuying Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Centre, Beijing, China
| | - Xianghai Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Centre, Beijing, China
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Centre, Beijing, China
| | - Zuodi Fu
- Department of Endocrinology and Metabolism, Pinggu Hospital, Capital Medical University, Beijing, China
| | - Lianying Wang
- Department of Endocrinology and Metabolism, Pinggu Hospital, Capital Medical University, Beijing, China
| | - Yufeng Li
- Department of Endocrinology and Metabolism, Pinggu Hospital, Capital Medical University, Beijing, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Centre, Beijing, China
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Xia M, Sun X, Zheng L, Bi Y, Li Q, Sun L, Di F, Li H, Zhu D, Gao Y, Bao Y, Wang Y, He L, Wu B, Wang S, Gao J, Gao X, Bian H. Regional difference in the susceptibility of non-alcoholic fatty liver disease in China. BMJ Open Diabetes Res Care 2020; 8:8/1/e001311. [PMID: 32522731 PMCID: PMC7287499 DOI: 10.1136/bmjdrc-2020-001311] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 04/13/2020] [Accepted: 05/05/2020] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Non-alcoholic fatty liver disease (NAFLD) is a global health problem with high geographic heterogeneity. We aimed to investigate regional-specific concomitant rate of NAFLD and quantitative relationship between liver fat content (LFC) and glucose metabolism parameters in representative clinical populations from six provinces/municipalities of China. RESEARCH DESIGN AND METHODS A total of 2420 eligible Han Chinese were enrolled consecutively from 10 clinics of obesity, diabetes and metabolic diseases located at six provinces/municipalities of China, and divided into North (Tianjin, Shandong and Heilongjiang) and South (Shanghai, Jiangsu and Henan) groups according to their geographical latitude and proximity of NAFLD concomitant rate. LFC was assessed by a quantitative ultrasound method. Multivariate regression models and analysis of covariance were used to assess the regional difference in the risk of NAFLD. RESULTS The concomitant rate of NAFLD was 23.3%, 44.0% and 55.3% in individuals with normal glucose tolerance (NGT), pre-diabetes and diabetes, respectively. A higher concomitant rate of NAFLD was found in the participants from the North comparing with the South group, regardless of glucose metabolism status (34.7% vs 16.2% in NGT, 61.5% vs 34.7% in pre-diabetes and 67.1% vs 48.1% in diabetes). This regional difference remained significant after adjustment for age, gender, alcohol drinking, cigarette smoking, confounding metabolic parameters and liver enzymes. For any given blood glucose, participants from the North had higher LFC than those from the South group. CONCLUSIONS Half of Han Chinese with pre-diabetes/type 2 diabetes had NAFLD, and the individuals from the North cities were more susceptible to NAFLD.
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Affiliation(s)
- Mingfeng Xia
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Disease, Fudan University, Shanghai, China
| | - Xiaoyang Sun
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Disease, Fudan University, Shanghai, China
| | - Lili Zheng
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yufang Bi
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine Tumors of Ministry of Shanghai, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qiang Li
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- Department of Endocrinology and Metabolism, Shenzhen University General Hospital, Shenzhen, China
| | - Lirong Sun
- Key Laboratory of Hormones and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Fusheng Di
- Department of Endocrinology and Metabolism, The Third Central Hospital of Tianjin, Tianjin, China
| | - Hong Li
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Dalong Zhu
- Department of Endocrinology and Metabolism, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Yanyan Gao
- Department of Endocrinology and Metabolism, Affiliated Hospital of Medical College, Qingdao University, Qingdao, China
| | - Yuqian Bao
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Department of Endocrinology and Metabolism, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Yao Wang
- Department of Endocrinology and Metabolism, Zhongda Hospital Affiliated to Southeast University Medical School, Nanjing, China
| | - Lanjie He
- Endocrine Testing Center, General Hospital of Ningxia Medical University, Yinchuan, China
- Department of Endocrinology, Qilu Hospital of Shandong University, Qingdao, China
| | - Bingjie Wu
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shanshan Wang
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China
| | - Jian Gao
- Department of Clinical Nutrition, Zhongshan Hospital, Center of Clinical Epidemiology, EBM of Fudan University, Fudan University, Shanghai, China
| | - Xin Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Disease, Fudan University, Shanghai, China
| | - Hua Bian
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Disease, Fudan University, Shanghai, China
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Mirahmadizadeh A, Fathalipour M, Mokhtari AM, Zeighami S, Hassanipour S, Heiran A. The prevalence of undiagnosed type 2 diabetes and prediabetes in Eastern Mediterranean region (EMRO): A systematic review and meta-analysis. Diabetes Res Clin Pract 2020; 160:107931. [PMID: 31794806 DOI: 10.1016/j.diabres.2019.107931] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Revised: 11/09/2019] [Accepted: 11/14/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Previous studies of diabetes in Eastern Mediterranean Region (EMRO) did not assess the prevalence of either unknown diabetes or prediabetes. We conducted a systematic review and meta-analysis to estimate the prevalence of undiagnosed type 2 diabetes and prediabetes as well as variations by region in EMRO, using the relevant publications since 2000. METHODS We carried out a comprehensive electronic search on electronic databases from January 1, 2000 to March 1, 2018. We selected cross-sectional and cohort studies reporting the prevalence of undiagnosed type 2 diabetes, prediabetes, or both. Two independent reviewers initially screened the eligible articles; then, synthesized the target data from full papers. Random- or fixed-effect models, subgroup analysis on Human Development Index (HDI), and publication year and sensitivity analysis to minimize the plausible effect of outliers were used. RESULTS Amongst 849 identified citations, 55 articles were entered into meta-analysis, involving 567,025 individuals. The forest plots estimated 5.46% (confidence intervals [CI]: 4.77-6.14) undiagnosed diabetic and 12.19% (CI: 10.13-14.24) prediabetics in EMRO. Low HDI countries and high HDI countries had the highest (7.25%; CI: 4.59-9.92) and the lowest (3.98%; CI: 3.11-4.85) undiagnosed diabetes prevalence, respectively. Very high HDI countries and low HDI countries had the highest (13.50%; CI: 8.43-18.57) and the lowest (7.45%; 1.20-13.71) prediabetes prevalence, respectively. In addition, meta-regression analysis showed a statistically significant association between publication year and prevalence of prediabetes (Reg Coef = 0.059, P = 0.014). But such finding was not observed for undiagnosed diabetes and publication year (Reg Coef = 0.034, P = 0.124), prediabetes and HDI (Reg Coef = 0.128, P = 0.31) and undiagnosed diabetes and HDI (Reg Coef = - 0.04, P = 0.96). CONCLUSION The prevalence of undiagnosed diabetes and prediabetes was high and increasing. The notion of universal health coverage is a priority; that is the integration of the primary, secondary and tertiary health levels, as well as employing the available action plans. Therefore, future studies, using identical screening tool and diagnostic criteria, are warranted to make an accurate picture of diabetes in EMRO.
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Affiliation(s)
- Alireza Mirahmadizadeh
- Non-communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Fathalipour
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Ali Mohammad Mokhtari
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Shahryar Zeighami
- Department of Urology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Soheil Hassanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran; GI Cancer Screening and Prevention Research Center, Guilan University of Medical Sciences, Rasht, Iran.
| | - Alireza Heiran
- Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
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Developmental Transcriptomic Analysis of the Cave-Dwelling Crustacean, Asellus aquaticus. Genes (Basel) 2019; 11:genes11010042. [PMID: 31905778 PMCID: PMC7016750 DOI: 10.3390/genes11010042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/16/2019] [Accepted: 12/22/2019] [Indexed: 12/18/2022] Open
Abstract
Cave animals are a fascinating group of species often demonstrating characteristics including reduced eyes and pigmentation, metabolic efficiency, and enhanced sensory systems. Asellus aquaticus, an isopod crustacean, is an emerging model for cave biology. Cave and surface forms of this species differ in many characteristics, including eye size, pigmentation, and antennal length. Existing resources for this species include a linkage map, mapped regions responsible for eye and pigmentation traits, sequenced adult transcriptomes, and comparative embryological descriptions of the surface and cave forms. Our ultimate goal is to identify genes and mutations responsible for the differences between the cave and surface forms. To advance this goal, we decided to use a transcriptomic approach. Because many of these changes first appear during embryonic development, we sequenced embryonic transcriptomes of cave, surface, and hybrid individuals at the stage when eyes and pigment become evident in the surface form. We generated a cave, a surface, a hybrid, and an integrated transcriptome to identify differentially expressed genes in the cave and surface forms. Additionally, we identified genes with allele-specific expression in hybrid individuals. These embryonic transcriptomes are an important resource to assist in our ultimate goal of determining the genetic underpinnings of the divergence between the cave and surface forms.
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