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He C, Zhou L, Gao T, Cao R, Cai C, Jiang G. Sex differences in the mediation of the MASLD - Depression association by fat distribution in U.S. adults. Acta Psychol (Amst) 2025; 256:105041. [PMID: 40300432 DOI: 10.1016/j.actpsy.2025.105041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2025] [Revised: 04/22/2025] [Accepted: 04/23/2025] [Indexed: 05/01/2025] Open
Abstract
PURPOSE This study investigates the intricate relationship between metabolic dysfunction-associated steatotic liver disease (MASLD) and depression, emphasizing the mediating role of body fat distribution, particularly in female. METHODS We analyzed the pairwise relationship among body fat distribution (android fat and gynoid fat), MASLD, and depression within a robust, ethnically diverse sample (n = 3332) drawn from the National Health and Nutrition Examination Survey (NHANES). RESULTS Studies have indicated that individuals with depression or MASLD exhibit significantly higher levels of android fat compared to those without these health issues. Even after controlling for confounding factors, MASLD maintained significant correlations with both depression and body fat distribution (android fat and gynoid fat). Notably, sex moderated the relationship between MASLD, depression, and body fat distribution. Among the potential mediators of the effect of MASLD on depression, android fat emerged as a significant mediator, accounting for 16.6 % of the variance and yielding statistically significant results (p < 0.05). This mediating effect was particularly pronounced in female subjects, with a mediating proportion of 17.83 %, which was also statistically significant (p < 0.05). However, it was not observed in males. CONCLUSIONS This study reveals an important association between MASLD and depression, and android fat distribution is a potential mediator in this relationship, with a particularly pronounced effect on the female population.
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Affiliation(s)
- Changhuai He
- Department of Hepatobiliary Surgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu 225001, China
| | - Liuxin Zhou
- Department of Hepatobiliary Surgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu 225001, China
| | - Tianming Gao
- Department of Hepatobiliary Surgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu 225001, China
| | - Runmin Cao
- Department of Hepatobiliary Surgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu 225001, China
| | - Chuanqi Cai
- Department of Vascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| | - Guoqing Jiang
- Department of Hepatobiliary Surgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu 225001, China.
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Apostolopoulou M, Lambadiari V, Roden M, Dimitriadis GD. Insulin Resistance in Type 1 Diabetes: Pathophysiological, Clinical, and Therapeutic Relevance. Endocr Rev 2025; 46:317-348. [PMID: 39998445 PMCID: PMC12063105 DOI: 10.1210/endrev/bnae032] [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: 06/23/2024] [Indexed: 02/26/2025]
Abstract
People with type 1 diabetes (T1D) are usually considered to exclusively exhibit β-cell failure, but they frequently also feature insulin resistance. This review discusses the mechanisms, clinical features, and therapeutic relevance of insulin resistance by focusing mainly on human studies using gold-standard techniques (euglycemic-hyperinsulinemic clamp). In T1D, tissue-specific insulin resistance can develop early and sustain throughout disease progression. The underlying pathophysiology is complex, involving both metabolic- and autoimmune-related factors operating synergistically. Insulin treatment may play an important pathogenic role in predisposing individuals with T1D to insulin resistance. However, the established lifestyle-related risk factors and peripheral insulin administration inducing glucolipotoxicity, hyperinsulinemia, hyperglucagonemia, inflammation, mitochondrial abnormalities, and oxidative stress cannot always fully explain insulin resistance in T1D, suggesting a phenotype distinct from type 2 diabetes. The mutual interaction between insulin resistance and impaired endothelial function further contributes to diabetes-related complications. Insulin resistance should therefore be considered a treatment target in T1D. Aside from lifestyle modifications, continuous subcutaneous insulin infusion can ameliorate insulin resistance and hyperinsulinemia, thereby improving glucose toxicity compared with multiple injection insulin treatment. Among other concepts, metformin, pioglitazone, incretin-based drugs such as GLP-1 receptor agonists, sodium-glucose cotransporter inhibitors, and pramlintide can improve insulin resistance, either directly or indirectly. However, considering the current issues of high cost, side effects, limited efficacy, and their off-label status, these agents in people with T1D are not widely used in routine clinical care at present.
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Affiliation(s)
- Maria Apostolopoulou
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University, 40225 Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibnitz Center for Diabetes Research at Heinrich-Heine University, 40225 Düsseldorf, Germany
- German Center of Diabetes Research (DZD), Partner Düsseldorf, 85764 München-Neuherberg, Germany
| | - Vaia Lambadiari
- 2nd Department of Internal Medicine, Research Institute and Diabetes Center, National and Kapodistrian University of Athens Medical School, 12462 Athens, Greece
| | - Michael Roden
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University, 40225 Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibnitz Center for Diabetes Research at Heinrich-Heine University, 40225 Düsseldorf, Germany
- German Center of Diabetes Research (DZD), Partner Düsseldorf, 85764 München-Neuherberg, Germany
| | - George D Dimitriadis
- 2nd Department of Internal Medicine, Research Institute and Diabetes Center, National and Kapodistrian University of Athens Medical School, 12462 Athens, Greece
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Adeshara K, Parente EB, Harjutsalo V, Lehto M, Sandholm N, Groop PH. Relationship between sRAGE and obesity in individuals with type 1 diabetes during a median follow-up of 6.3 years. Diabetologia 2025:10.1007/s00125-025-06440-4. [PMID: 40301129 DOI: 10.1007/s00125-025-06440-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Accepted: 03/07/2025] [Indexed: 05/01/2025]
Abstract
AIMS/HYPOTHESIS Soluble receptor for advanced glycation end products (sRAGE) has been inversely linked to obesity, which is defined by excess of total body fat. However, body fat accumulation is also relevant for health. In this study, we investigated associations between sRAGE and obesity in individuals with type 1 diabetes over 6.3 years of follow-up. METHODS The study included 3886 adults with type 1 diabetes from the FinnDiane study. Serum sRAGE concentrations were determined by ELISA. Central obesity was defined on the basis of waist/height ratio (WHtR), and general obesity on the basis of BMI. The Kruskal-Wallis test was used to assess the differences in baseline BMI, WHtR and sRAGE concentrations, comparing the groups stratified by albuminuria status. Changes in BMI and WHtR were calculated over time and Wilcoxon rank test was used for comparisons. Linear regression, adjusted for sex, age, albuminuria and HbA1c, was used for assessing the association of sRAGE with obesity measures at baseline, and with changes over time. RESULTS Over a median follow-up of 6.3 years, BMI changed by a median Δ of 0.76 kg/m2 (IQR -0.39 to 2.07; p<0.001) and WHtR by a median Δ of 0.019 (IQR -0.007 to 0.05; p<0.001). The change in BMI was observed in 67% of the individuals, and WHtR in 68% of them. Baseline sRAGE was inversely associated with BMI (r2=0.07, β -0.174; p<0.001) and WHtR (r2=0.16, β -0.179; p<0.001) in the overall cohort. These relationships remained consistent across subgroups stratified by albuminuria status, including no, moderate and severe albuminuria (all p<0.001). However, sRAGE was not associated with changes in BMI or WHtR over time. CONCLUSIONS/INTERPRETATION sRAGE is inversely associated with both general and central obesity, as represented by BMI and WHtR, independent of kidney disease, suggesting sRAGE is a biomarker of obesity. However, sRAGE is not associated with the changes in BMI and WHtR over a 6.3 year follow-up. Future research with longer follow-up is merited to understand how sRAGE correlates with body fat accumulation.
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Affiliation(s)
- Krishna Adeshara
- Folkhälsan Research Center, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Erika B Parente
- Folkhälsan Research Center, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Valma Harjutsalo
- Folkhälsan Research Center, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Markku Lehto
- Folkhälsan Research Center, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Niina Sandholm
- Folkhälsan Research Center, Helsinki, Finland.
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland.
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
| | - Per-Henrik Groop
- Folkhälsan Research Center, Helsinki, Finland.
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland.
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia.
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
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Jiang Z, He L, Li D, Zhuo L, Chen L, Shi RQ, Luo J, Feng Y, Liang Y, Li D, Congmei X, Fu Y, Chen YM, Zheng JS, Tao L. Human gut microbial aromatic amino acid and related metabolites prevent obesity through intestinal immune control. Nat Metab 2025; 7:808-822. [PMID: 40087408 PMCID: PMC12021661 DOI: 10.1038/s42255-025-01246-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/14/2025] [Indexed: 03/17/2025]
Abstract
Obesity affects millions of people in the world. The gut microbiome influences body fat accumulation, but the mechanisms remain to be investigated. Here, we show an association between microbial aromatic amino acid metabolites in serum and body fat accumulation in a large Chinese longitudinal cohort. We next identify that 4-hydroxyphenylacetic acid (4HPAA) and its analogues effectively protect male mice from high-fat-diet-induced obesity. These metabolites act on intestinal mucosa to regulate the immune response and control lipid uptake, which protects against obesity. We further demonstrate that T cells and B cells are not vital for 4HPAA-mediated obesity prevention, and innate lymphoid cells have antagonistic roles. Together, these findings reveal specific microbial metabolites as pivotal molecules to prohibit obesity through immune control, establishing mechanisms of host modulation by gut microbial metabolites.
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Affiliation(s)
- Zengliang Jiang
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- College of Biosystems Engineering and Food Science, National-Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang University, Hangzhou, China
- Innovation Center of Yangtze River Delta, Jiaxing, Zhejiang, China
| | - Liuqing He
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Diyin Li
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Laibao Zhuo
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lingjun Chen
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Rui-Qi Shi
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Jianhua Luo
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Yuhui Feng
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Yuhui Liang
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Danyang Li
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Xiao Congmei
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Yuanqing Fu
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Yu-Ming Chen
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Ju-Sheng Zheng
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China.
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.
| | - Liang Tao
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China.
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.
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5
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Souza M, Al-Sharif L, Khalil SM, Villela-Nogueira CA, Mantovani A. Global Epidemiology and Characteristics of Metabolic Dysfunction-associated Steatotic Liver Disease in Type 1 Diabetes Mellitus: An Updated Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol 2024:S1542-3565(24)01066-8. [PMID: 39672250 DOI: 10.1016/j.cgh.2024.09.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 09/09/2024] [Accepted: 09/10/2024] [Indexed: 12/15/2024]
Abstract
BACKGROUND & AIMS Metabolic dysfunction-associated steatotic liver disease (MASLD) is often overlooked in patients with type 1 diabetes mellitus (T1DM). Our study aims to provide a comprehensive overview of the burden of MASLD in T1DM by assessing the prevalence of MASLD and its advanced forms in individuals with T1DM. METHODS We systematically searched PubMed and Embase databases (from inception to May 5, 2024) for original articles on the prevalence or characteristics of MASLD (as detected by blood biomarkers/scores, imaging techniques, or liver biopsy) in adults with T1DM. Data were extracted, and we performed a meta-analysis of proportions using generalized linear mixed model, and pairwise meta-analysis using the DerSimonian-Laird method. Heterogeneity was investigated with further subgroup and meta-regression analyses, and publication bias was assessed. RESULTS We identified 23 studies for a total of 13,006 individuals with T1DM. Of these, 22.24% (95% confidence interval [CI], 15.62-30.66; I2 = 99.2%) had MASLD. Significant fibrosis (≥F2) and advanced fibrosis (≥F3) were found in 13.25% (95% CI, 11.15-15.67; I2 = 0%) and 5.12% (95% CI, 3.78-6.91; I2 = 0%) of patients with T1DM and MASLD, respectively. Patients with MASLD and T1DM were more likely to be older, overweight, male, have a longer duration of diabetes, require higher daily doses of insulin, have metabolic dysfunction, and were at a higher risk of microvascular complications. CONCLUSION MASLD is relatively common in T1DM. Patients with MASLD-T1DM have a distinct clinical profile compared with those with T1DM, with only a small proportion having significant or advanced fibrosis.
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Affiliation(s)
- Matheus Souza
- Department of Internal Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
| | - Lubna Al-Sharif
- Faculty of Medicine and Health Sciences, Department of Biomedical Sciences and Basic Clinical Skills, An-Najah National University, Nablus, Palestine
| | | | | | - Alessandro Mantovani
- Section of Endocrinology, Diabetes and Metabolism, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
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Wan Q, Liu X, Xu J, Zhao R, Yang S, Feng J, Cao Z, Li J, He X, Chen H, Ye J, Chen H, Chen Y. Body Composition and Progression of Biopsy-Proven Non-Alcoholic Fatty Liver Disease in Patients With Obesity. J Cachexia Sarcopenia Muscle 2024; 15:2608-2617. [PMID: 39389917 PMCID: PMC11634503 DOI: 10.1002/jcsm.13605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 07/30/2024] [Accepted: 08/29/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND Obesity is a significant risk factor for the progression of non-alcoholic fatty liver disease (NAFLD). However, a convenient and efficacious non-invasive test for monitoring NAFLD progression in patients with obesity is currently lacking. This study aims to investigate the associations between CT-based body composition and the progression of biopsy-proven NAFLD in patients with obesity. METHODS Liver biopsy was conducted in patients with obesity, and the progression of NAFLD was evaluated by the NAFLD activity score (NAS). Body composition was assessed through abdominal computed tomography (CT) scans. RESULTS A total of 602 patients with an average age of 31.65 (±9.33) years old were included, comprising 217 male patients and 385 female patients. The wall skeletal muscle index (SMI), total SMI, and visceral fat index (VFI) were positively correlated with NAS in both male and female patients. Multivariate regression analysis demonstrated significant associations between high liver steatosis and wall SMI (HR: 1.60, 95% CI: 1.12 to 2.30), total SMI (HR: 1.50, 95% CI: 1.02 to 2.08), VSI (HR: 2.16, 95% CI: 1.48 to 3.14), visceral fat to muscle ratio (HR: 1.51, 95% CI: 1.05 to 2.18), and visceral to subcutaneous fat ratio (HR: 1.51, 95% CI: 1.07 to 2.12). Non-alcoholic steatohepatitis (NASH) was significantly associated with wall SMI (HR: 1.52, 95% CI: 1.06 to 2.19) and VSI (HR: 1.50, 95% CI: 1.03 to 2.17). Liver fibrosis ≥ F2 was significantly associated with psoas muscle index (HR: 0.64, 95% CI: 0.44 to 0.93) and psoas skeletal muscle density (HR: 0.61, 95% CI: 0.41 to 0.89). CONCLUSIONS Our study suggested that certain CT-based body composition indicators, notably high VFI, were significantly associated with the progression of NAFLD in patients with obesity. Great attentions and timely managements should be given to these patients with body composition characteristics associated with the risk of NAFLD progression.
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Affiliation(s)
- Qianyi Wan
- Department of General Surgery, Division of Gastrointestinal Surgery, West China HospitalSichuan UniversityChengduChina
- West China School of MedicineSichuan UniversityChengduChina
- Laboratory of Metabolism and Aging Research, National Clinical Research Center for Geriatrics and State key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease‐Related Molecular Network, West China HospitalSichuan UniversityChengduChina
| | - Xingzhu Liu
- Laboratory of Metabolism and Aging Research, National Clinical Research Center for Geriatrics and State key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease‐Related Molecular Network, West China HospitalSichuan UniversityChengduChina
| | - Jinghao Xu
- Department of General Surgery, Division of Gastrointestinal Surgery, West China HospitalSichuan UniversityChengduChina
- West China School of MedicineSichuan UniversityChengduChina
| | - Rui Zhao
- Department of General Surgery, Division of Gastrointestinal Surgery, West China HospitalSichuan UniversityChengduChina
- West China School of MedicineSichuan UniversityChengduChina
| | - Shiqin Yang
- West China School of MedicineSichuan UniversityChengduChina
| | - Jianrong Feng
- West China School of MedicineSichuan UniversityChengduChina
| | - Zhan Cao
- West China School of MedicineSichuan UniversityChengduChina
| | - Jingru Li
- West China School of MedicineSichuan UniversityChengduChina
| | - Xiaopeng He
- West China School of MedicineSichuan UniversityChengduChina
| | - Haiou Chen
- West China School of MedicineSichuan UniversityChengduChina
- Laboratory of Metabolism and Aging Research, National Clinical Research Center for Geriatrics and State key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease‐Related Molecular Network, West China HospitalSichuan UniversityChengduChina
| | - Jinbao Ye
- Laboratory of Metabolism and Aging Research, National Clinical Research Center for Geriatrics and State key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease‐Related Molecular Network, West China HospitalSichuan UniversityChengduChina
| | - Haiyang Chen
- West China School of MedicineSichuan UniversityChengduChina
- Laboratory of Metabolism and Aging Research, National Clinical Research Center for Geriatrics and State key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease‐Related Molecular Network, West China HospitalSichuan UniversityChengduChina
| | - Yi Chen
- Department of General Surgery, Division of Gastrointestinal Surgery, West China HospitalSichuan UniversityChengduChina
- West China School of MedicineSichuan UniversityChengduChina
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Sun W, Lv Y, Wang L, Yu H, Yi H, Wang Y, Han J, Liu Y, Miao C, Li J, Zhang Y, Wang M, Chen L, Pandol SJ, Li L. Comparison of Risk Factors Between Lean and Nonlean Metabolic Dysfunction-Associated Steatotic Liver Disease in Individuals With Type 2 Diabetes: A Multicenter Study. Endocr Pract 2024; 30:1171-1179. [PMID: 39332499 DOI: 10.1016/j.eprac.2024.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 08/10/2024] [Accepted: 09/18/2024] [Indexed: 09/29/2024]
Abstract
OBJECTIVE A multicenter study in patients with type 2 diabetes mellitus (T2DM) was performed to assess the differences of liver steatosis and fibrosis between lean and nonlean individuals. METHODS Patients with T2DM from 16 centers were recruited and underwent transient elastography examination for diagnosis of liver steatosis and fibrosis. Clinical information, such as diabetes status, serum lipids profiles, and inflammatory markers, were collected. Potential risk factors of liver steatosis and fibrosis in lean (body mass index [BMI] < 23 kg/m2) and nonlean (BMI ≥ 23 kg/m2) groups were analyzed. RESULTS A total of 1762 patients were included. The prevalence of liver steatosis and fibrosis in the lean group was 44.7% and 23.4%, respectively. The prevalence of hypertension and cardiovascular disease was higher in lean patients when compared with nonlean group. Lean patients with liver steatosis or fibrosis were older, had longer diabetes duration, lower levels of homeostatic model assessment for insulin resistance and serum lipids. The BMI, visceral fat area, and triglyceride were among the most significant correlators of liver steatosis for both nonlean and lean patients. However, lipid profiles were different between the two groups. Besides, insulin resistance, BMI, and lipid levels were not observed to be associated with fibrosis in the lean group. CONCLUSION In lean patients with T2DM, liver steatosis and fibrosis were less associated with insulin resistance. Risk factors of liver steatosis were different between lean and nonlean patients, indicating the necessity of risk stratification and tailored management strategies.
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Affiliation(s)
- Weixia Sun
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
| | - Yingqi Lv
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
| | - Li Wang
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China; Department of Endocrinology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
| | - Hekai Yu
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
| | - He Yi
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
| | - Yifan Wang
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
| | - Jing Han
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yingzhao Liu
- Department of Endocrinology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
| | - Congqing Miao
- Department of Endocrinology, Jiangdu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Jie Li
- Department of Endocrinology, Nanjing Central Hospital, Nanjing, China
| | - Yan Zhang
- Department of Endocrinology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
| | - Mengying Wang
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Lei Chen
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
| | - Stephen J Pandol
- Division of Gastroenterology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California; Basic and Translational Pancreatic Research, Cedars-Sinai Medical Center, Los Angeles, California.
| | - Ling Li
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China; Institute of Glucose and Lipid Metabolism, Southeast University, Nanjing, China.
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Helleputte S, Stautemas J, De Craemer M, Bogaert L, De Backer T, Calders P, Lapauw B. Physical activity and sedentary behaviour in relation to body composition, estimated insulin sensitivity and arterial stiffness in adults with type 1 diabetes. Diabetes Res Clin Pract 2024; 217:111860. [PMID: 39293499 DOI: 10.1016/j.diabres.2024.111860] [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: 08/05/2024] [Revised: 09/04/2024] [Accepted: 09/13/2024] [Indexed: 09/20/2024]
Abstract
AIMS To examine the association of daily PA levels and sedentary behaviour with body composition, estimated insulin sensitivity, and arterial stiffness in adults with type 1 diabetes (T1D). METHODS Cross-sectional study in adults with T1D (n = 54). PA levels (daily steps, and time in moderate-to-vigorous intensity PA (MVPA)) and sedentary behaviour were measured using accelerometry for 7 days (McRoberts® DynaPort MoveMonitor). Cardiopulmonary exercise test for VO2max. Anthropometrics were collected, and body composition (total and % of fat mass (FMtot, FM%), total and % of lean mass (LMtot, LM%), and estimated visceral adipose tissue (VAT)) volume was assessed with dual energy X-ray-absorptiometry (DXA). Estimates of insulin sensitivity were determined (estimated glucose disposal rate (eGDR) and total daily insulin dose). Arterial stiffness was assessed with carotid-femoral pulse wave velocity (cf-PWV (m/s); SphygmoCor®). RESULTS Lower 10-years HbA1c associated moderately with all PA measures. Favourable moderate associations were also found between PA measures and BMI, waist, VAT but not FM and LM. PA measures were favourably associated with a lower total daily insulin dose and higher eGDR. All PA parameters associated moderately with cf-PWV however not independent from traditional risk factors. VO2max was inversely associated with cf-PWV independent of age, T1D duration and 24-hour mean blood pressure. CONCLUSIONS Higher levels of PA, lower sedentary behaviour and greater exercise capacity are favourably associated with long-term glycaemic control, body composition, insulin dosage, estimated insulin sensitivity and arterial stiffness in adults with T1D. Therefore, regular PA and limiting sedentary time should be encouraged to improve metabolic and cardiovascular health in this population. Future longitudinal studies should explore mutual interactions and synergistic effects of PA on these outcomes.
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Affiliation(s)
- Simon Helleputte
- Faculty of Medicine and Health Sciences, Ghent University, Belgium; Fonds Wetenschappelijk Onderzoek (FWO) Vlaanderen, Belgium.
| | - Jan Stautemas
- Faculty of Medicine and Health Sciences, Ghent University, Belgium
| | | | - Lotte Bogaert
- Faculty of Medicine and Health Sciences, Ghent University, Belgium
| | - Tine De Backer
- Faculty of Medicine and Health Sciences, Ghent University, Belgium; Department of Cardiology, Ghent University Hospital, Belgium
| | - Patrick Calders
- Faculty of Medicine and Health Sciences, Ghent University, Belgium
| | - Bruno Lapauw
- Faculty of Medicine and Health Sciences, Ghent University, Belgium; Department of Endocrinology, Ghent University Hospital, Belgium
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9
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Wan Q, Luo S, Lu Q, Guan C, Zhang H, Deng Z. Protective effects of puerarin on metabolic diseases: Emphasis on the therapeutical effects and the underlying molecular mechanisms. Biomed Pharmacother 2024; 179:117319. [PMID: 39197190 DOI: 10.1016/j.biopha.2024.117319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/16/2024] [Accepted: 08/21/2024] [Indexed: 09/01/2024] Open
Abstract
Metabolic diseases (MetD) such as diabetes mellitus, obesity, and hyperlipidemia have become global health challenges. As a naturally occurring plant component, puerarin has been verified to possess a wide range of pharmacological effects including lowering blood glucose, improving insulin resistance, and regulating lipid metabolism, which has attracted extensive attention in recent years, and its potential in the treatment of MetD has been highly acclaimed. In addition, puerarin has exhibited antioxidant, anti-inflammatory, and cardiovascular protective effects, which are of great significance in the prevention and treatment of MetD. This article comprehensively summarizes the research progress of puerarin in the treatment of MetD and explores its pharmacological mechanisms, clinical applications, and future perspectives. More importantly, this review provided a list of the involved molecular mechanims in treating MetD of puerarin. Taking into account these conclusions, it may provide a strong foundation for the optimized use of puerarin in the treatment of patients suffering from MetD.
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Affiliation(s)
- Qiang Wan
- Department of Medical Cardiology, Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang 330006, China; Clinical Medical College, Jiangxi University of Chinese Medicine, Nanchang 330006, China.
| | - Sang Luo
- Graduate School, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Qiwen Lu
- Graduate School, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Chengyan Guan
- Graduate School, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Hao Zhang
- Graduate School, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Zhiyan Deng
- Department of Gastroenterology, Jinhua TCM Hospital Affiliated to Zhejiang Chinese Medical University, Jinhua 321017, China.
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10
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Baltadjiev A, Orbetzova M, Petleshkova T, Harizanova Z, Ilieva-Gerova M, Ahmed-Popova F. Assessment of body composition of adult Bulgarian patients with type 1 diabetes mellitus by bioelectrical impedance analysis. Folia Med (Plovdiv) 2024; 66:350-355. [PMID: 39365619 DOI: 10.3897/folmed.66.e126192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 06/17/2024] [Indexed: 10/05/2024] Open
Abstract
AIM The aim of this study was to investigate how type 1 diabetes mellitus affects adult Bulgarians' body composition.
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11
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Chen J, Jin B, Wang F, Wu Z, Dorazio RM, Fu J. The relative contributions of soft tissue mass components as risk or protective factors of non-alcoholic fatty liver disease in children. Eur J Clin Nutr 2023; 77:1167-1172. [PMID: 37587242 DOI: 10.1038/s41430-023-01326-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/18/2023]
Abstract
BACKGROUND/OBJECTIVE Several body components are known to be associated with non-alcoholic fatty liver disease (NAFLD) in children. However, the relative contributions of soft tissue mass components as risk or protective factors of NAFLD are largely unknown because measurements of these components are often highly correlated. Therefore, we aimed to estimate levels of association between soft tissue mass components and NAFLD. SUBJECTS/METHODS We collected the medical records of 555 Chinese children (aged 3-18 years). Five mutually exclusive and exhaustive components of soft tissue mass were measured using dual energy X-ray absorptiometry. NAFLD was diagnosed with abdominal B-ultrasound scan. We fit Dirichlet regression and multivariate linear regression models wherein age and NAFLD were used as predictors of the proportional measurements of soft tissue mass components. RESULTS The proportion of android fat was significantly higher in children with NAFLD than in those without NAFLD (ratio of proportions ranged from 1.18 to 1.30), whereas proportions of trunk lean and limb lean were significantly lower (ratio of proportions ranged from 0.87 to 0.92 for trunk lean and from 0.82 to 0.91 for limb lean). The proportion of gynoid fat was slightly higher in boys with NAFLD than in those without NAFLD (ratio = 1.05), but this proportion was not significantly higher in girls. The association between the proportion of android fat and NAFLD appeared to be somewhat greater than the associations between proportions of trunk lean or limb lean components and NAFLD. CONCLUSION Our findings suggest that lowering fat mass and increasing lean mass can both be used to combat NAFLD in children and that more studies are needed to determine the association between gynoid fat and NAFLD.
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Affiliation(s)
- JingNan Chen
- Department of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - BingHan Jin
- Department of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - FengLei Wang
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - ZhaoYuan Wu
- Department of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Robert M Dorazio
- Department of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - JunFen Fu
- Department of Endocrinology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
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12
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Lampenius I, Harjutsalo V, Parente EB, Groop PH. Associations between alcohol consumption and body fat distribution in type 1 diabetes. Diabetes Res Clin Pract 2023; 204:110891. [PMID: 37657645 DOI: 10.1016/j.diabres.2023.110891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 06/01/2023] [Accepted: 08/29/2023] [Indexed: 09/03/2023]
Abstract
AIM To evaluate the associations between alcohol consumption and body fat distribution in type 1 diabetes (T1D). METHODS DXA assessed the body composition of 548 adults with T1D from the Finnish Diabetic Nephropathy Study. Visceral fat mass (VFM) ≥ 0.7% of body weight for women and ≥ 1.1% for men defined central obesity (CO), whereas body fat mass (BFM) ≥ 40.4% for women and ≥ 31.8% for men defined general obesity (GO). Alcohol consumption data were collected via questionnaires. One standard dose = 12 g of pure alcohol. Participants were classified as abstainers, low-risk, moderate-risk and high-risk alcohol consumers. We used linear and logistic regression models for analyses. RESULTS The higher the alcohol consumption the higher the VFM% (r2 = 0.23, β = 0.083, p = 0.04) in both sexes. BFM% presented a similar pattern in men (r2 = 0.12, β = 0.160, p = 0.01), but not in women. One weekly dose increase of alcohol consumption increases the odds of CO by 3% (OR 1.03, p = 0.037), but not GO. The odds of CO (OR 7.3, p = 0.003) and GO (OR 5.3, p = 0.007) increase with high-risk, but not with low- and moderate-risk consumptions. CONCLUSIONS In adults with T1D, alcohol consumption is linearly associated with VFM% regardless of sex, whereas the association with BFM% is sex-dependent.
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Affiliation(s)
- Ina Lampenius
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Valma Harjutsalo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Erika B Parente
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
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13
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Viola LF, Valerio CM, Araujo-Neto JM, Santos FF, Matsuura F, Moreira RO, Godoy-Matos AF. Waist circumference is independently associated with liver steatosis and fibrosis in LMNA-related and unrelated Familial Partial Lipodystrophy women. Diabetol Metab Syndr 2023; 15:182. [PMID: 37679847 PMCID: PMC10483704 DOI: 10.1186/s13098-023-01156-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/28/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Lipodystrophies are a heterogeneous group of diseases characterized by the selective loss of subcutaneous adipose tissue and ectopic fat deposition in different organs, including the liver. This study aimed to determine the frequencies of liver steatosis (LS) and liver fibrosis (LF) in a sample of individuals with LMNA-related and unrelated Familial Partial Lipodystrophy. METHODS This cross-sectional study included 17 women with LMNA-related FPLD and 15 women with unrelated FPLD. LS and LF were assessed using transient elastography (TE) with FibroScan®. Anthropometric and biochemical variables were included in a multiple linear regression analysis to identify the variables that were independently related to liver disease. RESULTS Regarding the presence of LF, 22 (68.2%) women were classified as having non-significant fibrosis, and 10 (31.8%) were classified as having significant or severe fibrosis. Regarding LS, only six women (20.7%) were classified as having an absence of steatosis, and 23 (79.3%) had mild to severe steatosis. After multiple linear regression, waist circumference (but not age, body mass index, or waist-to-hip ratio) was found to be independently related to LS and LF. Among the biochemical variables, only triglyceride levels were independently related to LS but not LF. CONCLUSIONS In women with FPLD, visceral fat accumulation appears to be the most important determinant of liver disease, including LF, rather than fat scarcity in the lower limbs.
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Affiliation(s)
- Luiz F Viola
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rua Moncorvo Filho 90, Rio de Janeiro, CEP: 20211-340, Brazil.
- Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
| | - Cynthia M Valerio
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rua Moncorvo Filho 90, Rio de Janeiro, CEP: 20211-340, Brazil
| | - João M Araujo-Neto
- Hospital Universitário Clementino Fraga Filho (HUCFF), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Fabio F Santos
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rua Moncorvo Filho 90, Rio de Janeiro, CEP: 20211-340, Brazil
| | - Felipe Matsuura
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rua Moncorvo Filho 90, Rio de Janeiro, CEP: 20211-340, Brazil
| | - Rodrigo O Moreira
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rua Moncorvo Filho 90, Rio de Janeiro, CEP: 20211-340, Brazil
- Faculdade de Medicina do Centro Universitário Presidente Antônio Carlos (FAME/UNIPAC), Juiz de Fora, Brazil
| | - Amélio F Godoy-Matos
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rua Moncorvo Filho 90, Rio de Janeiro, CEP: 20211-340, Brazil
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14
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Della Pepa G, Lupoli R, Masulli M, Boccia R, De Angelis R, Gianfrancesco S, Rainone C, Albarosa Rivellese A, Annuzzi G, Bozzetto L. Insulin pump therapy in type 1 diabetes is associated with lower indices of Non-Alcoholic Fatty Liver in non-obese women but not men. Diabetes Res Clin Pract 2023:110816. [PMID: 37419390 DOI: 10.1016/j.diabres.2023.110816] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 05/20/2023] [Accepted: 07/03/2023] [Indexed: 07/09/2023]
Abstract
AIM Non-Alcoholic Fatty Liver Disease (NAFLD) is a raising concern in type 1 diabetes (T1D) patients. We evaluated whether multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII) may differentially affect NAFLD. METHODS NAFLD was assessed by Fatty Liver Index (FLI) and Hepatic Steatosis Index (HSI) in 659 T1D patients treated by MDI (n=414, 65% men) or CSII (n=245, 50% men) without alcohol abuse or other liver diseases. Clinical and metabolic differences between MDI and CSII participants were also evaluated according to sex. RESULTS Compared with the MDI cohort, CSII users had a significantly lower FLI (20.2±21.2 vs. 24.8±24.3; p=0.003), HSI (36.2±4.4 vs. 37.4±4.4; p=0.003), waist circumference (84.6±11.8 vs. 86.9±13.7 cm; p=0.026), plasma triglyceride (76.0±45.8 vs. 84.7±58.3 mg/dl; p=0.035), and daily insulin dose (0.53±0.22 vs. 0.64±0.25 IU/kg body weight; p<0.001). In CSII users, lower FLI and HSI were observed in women (p=0.009 and p=0.033, respectively) but not in men (p=0.676 and p=0.131, respectively). Women on CSII also had lower daily insulin doses, plasma triglyceride, and visceral adiposity index than women on MDI. CONCLUSION CSII is associated with lower NAFLD indices in women with T1D. This may relate to the lower peripheral insulin in the context of a permissive hormonal milieu.
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Affiliation(s)
- Giuseppe Della Pepa
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy; Institute of Clinical Physiology, National Research Council-CNR, Pisa, Italy
| | - Roberta Lupoli
- Department of Molecular Medicine and Medical Biotechnology, Federico II University, Naples, Italy
| | - Maria Masulli
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Rosalia Boccia
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Raffaele De Angelis
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | | | - Carmen Rainone
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | | | - Giovanni Annuzzi
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
| | - Lutgarda Bozzetto
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
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15
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Mertens J, Weyler J, Dirinck E, Vonghia L, Kwanten WJ, Mortelmans L, Peleman C, Chotkoe S, Spinhoven M, Vanhevel F, Van Gaal LF, De Winter BY, De Block CE, Francque SM. Prevalence, risk factors and diagnostic accuracy of non-invasive tests for NAFLD in people with type 1 diabetes. JHEP Rep 2023; 5:100753. [PMID: 37274774 PMCID: PMC10232726 DOI: 10.1016/j.jhepr.2023.100753] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/16/2023] [Accepted: 03/30/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND & AIMS The epidemiology of non-alcoholic fatty liver disease (NAFLD) in people with type 1 diabetes (T1D) is not yet elucidated. This study aimed to assess the diagnostic accuracy of non-invasive tests for NAFLD, to investigate the prevalence and severity of NAFLD, and to search for factors contributing to NAFLD in people with T1D. METHODS In this prospective cohort study, we consecutively screened 530 adults with T1D from a tertiary care hospital, using ultrasound (US), vibration-controlled transient elastography equipped with liver stiffness measurement (LSM) and controlled attenuation parameter, and the fatty liver index. Magnetic resonance spectroscopy (MRS) was performed in a representative subgroup of 132 individuals to validate the diagnostic accuracy of the non-invasive tests. RESULTS Based on MRS as reference standard, US identified individuals with NAFLD with an AUROC of 0.98 (95% CI 0.95-1.00, sensitivity: 1.00, specificity: 0.96). The controlled attenuation parameter was also accurate with an AUROC of 0.85 (95% CI 0.77-0.93). Youden cut-off was ≥270 dB/m (sensitivity: 0.90, specificity: 0.74). The fatty liver index yielded a similar AUROC of 0.83 (95% CI 0.74-0.91), but the conventional cut-off used to rule in (≥60) had low sensitivity and specificity (0.62, 0.78). The prevalence of NAFLD in the overall cohort was 16.2% based on US. Metabolic syndrome was associated with NAFLD (OR: 2.35 [1.08-5.12], p = 0.031). The overall prevalence of LSM ≥8.0 kPa indicating significant fibrosis was 3.8%, but reached 13.2% in people with NAFLD. CONCLUSIONS NAFLD prevalence in individuals with T1D is 16.2%, with approximately one in 10 featuring elevated LSM. US-based screening could be considered in people with T1D and metabolic syndrome. IMPACT AND IMPLICATIONS We aimed to report on the prevalence, disease severity, and risk factors of NAFLD in type 1 diabetes (T1D), while also tackling which non-invasive test for NAFLD is the most accurate. We found that ultrasound is the best test to diagnose NAFLD. NAFLD prevalence is 16.2%, and is associated with metabolic syndrome and BMI. Elevated liver stiffness indicating fibrosis is overall not prevalent in people with T1D (3.8%), but it reaches 13.2% in those with T1D and NAFLD.
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Affiliation(s)
- Jonathan Mertens
- Department of Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Antwerp, Belgium
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
- Department of Gastroenterology & Hepatology, Antwerp University Hospital, Antwerp, Belgium
| | - Jonas Weyler
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
- Department of Gastroenterology & Hepatology, Antwerp University Hospital, Antwerp, Belgium
| | - Eveline Dirinck
- Department of Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Antwerp, Belgium
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
| | - Luisa Vonghia
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
- Department of Gastroenterology & Hepatology, Antwerp University Hospital, Antwerp, Belgium
| | - Wilhelmus J. Kwanten
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
- Department of Gastroenterology & Hepatology, Antwerp University Hospital, Antwerp, Belgium
| | - Laura Mortelmans
- Department of Gastroenterology & Hepatology, Antwerp University Hospital, Antwerp, Belgium
| | - Cedric Peleman
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
- Department of Gastroenterology & Hepatology, Antwerp University Hospital, Antwerp, Belgium
| | - Shivani Chotkoe
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
| | - Maarten Spinhoven
- Department of Radiology, Antwerp University Hospital, Antwerp, Belgium
| | - Floris Vanhevel
- Department of Radiology, Antwerp University Hospital, Antwerp, Belgium
| | - Luc F. Van Gaal
- Department of Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Antwerp, Belgium
| | - Benedicte Y. De Winter
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
| | - Christophe E.M. De Block
- Department of Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Antwerp, Belgium
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
| | - Sven M. Francque
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Faculty of Medicine & Health Sciences, Antwerp, Belgium
- Department of Gastroenterology & Hepatology, Antwerp University Hospital, Antwerp, Belgium
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16
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Parente EB, Mutter S, Thorn LM, Harjutsalo V, Groop PH. Relationship Between Abdominal Fatness and Onset and Progression of Albuminuria in Type 1 Diabetes. Diabetes Care 2023; 46:e81-e82. [PMID: 36701210 DOI: 10.2337/dc22-1935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/14/2022] [Indexed: 01/27/2023]
Affiliation(s)
- Erika B Parente
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- 2Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- 3Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Stefan Mutter
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- 2Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- 3Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Lena M Thorn
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- 2Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- 3Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- 4Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Valma Harjutsalo
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- 2Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- 3Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Per-Henrik Groop
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- 2Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- 3Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- 5Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia
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de Vries M, El-Morabit F, van Erpecum KJ, Westerink J, Bac ST, Kaasjager HAHK, de Valk HW. Non-alcoholic fatty liver disease: identical etiologic factors in patients with type 1 and type 2 diabetes. Eur J Intern Med 2022; 100:77-82. [PMID: 35387749 DOI: 10.1016/j.ejim.2022.03.025] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/18/2022] [Accepted: 03/18/2022] [Indexed: 01/08/2023]
Abstract
AIMS To compare NAFLD prevalence, distribution and its etiologic determinants in patients with type 1 diabetes (T1D) and type 2 diabetes (T2D). METHODS In this cross-sectional study, NAFLD was evaluated by transient elastography in adult outpatients with T1D and T2D. NAFLD was defined as hepatic steatosis with or without fibrosis. Associations between insulin resistance related factors and NAFLD and advanced fibrosis (≥ F3) were explored in T1D and T2D separately, using multivariate logistic regression models. Interaction analysis was performed to compare the associations in patients with T1D and T2D. RESULTS One hundred and fifty patients with T1D (mean age 47 years, male 55%, mean diabetes duration 25 years, median BMI 25 kg/m2) and 100 patients with T2D (median age 67 years, male 56%, median diabetes duration 17 years, mean BMI 30 kg/m2) were included. NAFLD prevalence was 20% in patients with T1D and 76% in patients with T2D. Advanced fibrosis prevalence was 2.0% in patients with T1D and 22% in patients with T2D. In both patients with T1D and T2D, waist circumference, BMI and metabolic syndrome were positively associated, and estimated insulin sensitivity was negatively associated with the presence of NAFLD, adjusted for age, sex and diabetes duration. There was no effect modification by diabetes type for any of these associations. CONCLUSIONS Despite differences in population characteristics and pathophysiology between T1D and T2D, insulin resistance related factors are similarly associated with NAFLD in both groups.
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Affiliation(s)
- Marieke de Vries
- Department of Internal Medicine, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Fatima El-Morabit
- Department of Gastroenterology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Karel J van Erpecum
- Department of Gastroenterology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jan Westerink
- Department of Internal Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Simon T Bac
- Department of Gastroenterology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - H A H Karin Kaasjager
- Department of Internal Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Harold W de Valk
- Department of Internal Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
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18
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Luo T, Jiang S, Zhou B, Song Q, Du J, Liu P, Wang X, Song H, Shao C. Protective Effect of Isoorientin on Oleic Acid-Induced Oxidative Damage and Steatosis in Rat Liver Cells. Front Pharmacol 2022; 13:818159. [PMID: 35185572 PMCID: PMC8853441 DOI: 10.3389/fphar.2022.818159] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/03/2022] [Indexed: 12/18/2022] Open
Abstract
The harm of nonalcoholic fatty liver disease to human health is increasing, which calls for urgent prevention and treatment of the disease. Isoorientin is an effective ingredient of Chinese herbal medicine with anti-inflammatory and antioxidant effects. However, the effect of isoorientin in nonalcoholic fatty liver disease is still unclear. In this study, combined in vivo and in vitro experiments, through pathological observation, flow cytometry, immunofluorescence and western blot analysis to explore the role of isoorientin in steatosis and reveal its molecular mechanism. The results demonstrated that oleic acid treatment significantly increased the content of ROS and lipid droplets in rat hepatocytes, and promoted the expression of γH2AX, HO-1, PPARγ, SREBP-1c, FAS. The ROS content in the cells of co-treated with isoorientin and oleic acid was significantly reduced compared to the oleic acid group, and the expression of γH2AX, HO-1, PPARγ, SREBP-1c, FAS, and the nuclear translocation of NF-κB p65 were also significantly inhibited. Our data showed that oleic acid induce oxidative damage and steatosis in hepatocytes both in vitro and in vivo, and activate the PPARγ/NF-κB p65 signal pathway. Moreover, isoorientin can significantly reduce oleic acid -induced oxidative damage and steatosis by regulating the PPARγ/NF-kB p65 signal pathway.
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Affiliation(s)
- Tongwang Luo
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
- *Correspondence: Tongwang Luo, ; Houhui Song, ; Chunyan Shao,
| | - Sheng Jiang
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
| | - Bin Zhou
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
| | - Quanjiang Song
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
| | - Jing Du
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
| | - Ping Liu
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
| | - Xiaodu Wang
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
| | - Houhui Song
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
- *Correspondence: Tongwang Luo, ; Houhui Song, ; Chunyan Shao,
| | - Chunyan Shao
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, China
- China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, China
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
- *Correspondence: Tongwang Luo, ; Houhui Song, ; Chunyan Shao,
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19
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de Vries M, Kaasjager KHAH, de Valk HW. Comment on Parente et al. The Relationship Between Body Fat Distribution and Nonalcoholic Fatty Liver in Adults With Type 1 Diabetes. Diabetes Care 2021;44:1706-1713. Diabetes Care 2022; 45:e7. [PMID: 34986259 DOI: 10.2337/dc21-1773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 08/28/2021] [Indexed: 02/03/2023]
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20
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Parente EB, Dahlström EH, Harjutsalo V, Inkeri J, Mutter S, Forsblom C, Sandholm N, Gordin D, Groop PH. Response to Comment on Parente et al. The Relationship Between Body Fat Distribution and Nonalcoholic Fatty Liver in Adults With Type 1 Diabetes. Diabetes Care 2021;44:1706-1713. Diabetes Care 2022; 45:e8-e9. [PMID: 34986261 DOI: 10.2337/dci21-0045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Erika B Parente
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,2Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,3Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Emma H Dahlström
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,2Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,3Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Valma Harjutsalo
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,2Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,3Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,4National Institute for Health and Welfare, Helsinki, Finland
| | - Jussi Inkeri
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,5HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Stefan Mutter
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,2Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,3Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Carol Forsblom
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,2Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,3Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Niina Sandholm
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,2Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,3Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Daniel Gordin
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,2Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,3Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,6Joslin Diabetes Center, Harvard Medical School, Boston, MA
| | - Per-Henrik Groop
- 1Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,2Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,3Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,7Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia
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