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Misra S, Wagner R, Ozkan B, Schön M, Sevilla-Gonzalez M, Prystupa K, Wang CC, Kreienkamp RJ, Cromer SJ, Rooney MR, Duan D, Thuesen ACB, Wallace AS, Leong A, Deutsch AJ, Andersen MK, Billings LK, Eckel RH, Sheu WHH, Hansen T, Stefan N, Goodarzi MO, Ray D, Selvin E, Florez JC, Meigs JB, Udler MS. Precision subclassification of type 2 diabetes: a systematic review. COMMUNICATIONS MEDICINE 2023; 3:138. [PMID: 37798471 PMCID: PMC10556101 DOI: 10.1038/s43856-023-00360-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/15/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Heterogeneity in type 2 diabetes presentation and progression suggests that precision medicine interventions could improve clinical outcomes. We undertook a systematic review to determine whether strategies to subclassify type 2 diabetes were associated with high quality evidence, reproducible results and improved outcomes for patients. METHODS We searched PubMed and Embase for publications that used 'simple subclassification' approaches using simple categorisation of clinical characteristics, or 'complex subclassification' approaches which used machine learning or 'omics approaches in people with established type 2 diabetes. We excluded other diabetes subtypes and those predicting incident type 2 diabetes. We assessed quality, reproducibility and clinical relevance of extracted full-text articles and qualitatively synthesised a summary of subclassification approaches. RESULTS Here we show data from 51 studies that demonstrate many simple stratification approaches, but none have been replicated and many are not associated with meaningful clinical outcomes. Complex stratification was reviewed in 62 studies and produced reproducible subtypes of type 2 diabetes that are associated with outcomes. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into clinically meaningful subtypes. CONCLUSION Critical next steps toward clinical implementation are to test whether subtypes exist in more diverse ancestries and whether tailoring interventions to subtypes will improve outcomes.
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Affiliation(s)
- Shivani Misra
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK.
| | - Robert Wagner
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Bige Ozkan
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Magdalena Sevilla-Gonzalez
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Caroline C Wang
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Raymond J Kreienkamp
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Pediatrics, Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Sara J Cromer
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mary R Rooney
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anne Cathrine Baun Thuesen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Amelia S Wallace
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aaron Leong
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, 100 Cambridge St 16th Floor, Boston, MA, USA
| | - Aaron J Deutsch
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Liana K Billings
- Division of Endocrinology, Diabetes and Metabolism, NorthShore University Health System, Skokie, IL, USA
- Department of Medicine, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Robert H Eckel
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Wayne Huey-Herng Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institute, Miaoli County, Taiwan, ROC
- Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- University Hospital of Tübingen, Tübingen, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jose C Florez
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - James B Meigs
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, 100 Cambridge St 16th Floor, Boston, MA, USA
| | - Miriam S Udler
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
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Misra S, Wagner R, Ozkan B, Schön M, Sevilla-Gonzalez M, Prystupa K, Wang CC, Kreienkamp RJ, Cromer SJ, Rooney MR, Duan D, Thuesen ACB, Wallace AS, Leong A, Deutsch AJ, Andersen MK, Billings LK, Eckel RH, Sheu WHH, Hansen T, Stefan N, Goodarzi MO, Ray D, Selvin E, Florez JC, Meigs JB, Udler MS. Systematic review of precision subclassification of type 2 diabetes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.19.23288577. [PMID: 37131632 PMCID: PMC10153304 DOI: 10.1101/2023.04.19.23288577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Heterogeneity in type 2 diabetes presentation, progression and treatment has the potential for precision medicine interventions that can enhance care and outcomes for affected individuals. We undertook a systematic review to ascertain whether strategies to subclassify type 2 diabetes are associated with improved clinical outcomes, show reproducibility and have high quality evidence. We reviewed publications that deployed 'simple subclassification' using clinical features, biomarkers, imaging or other routinely available parameters or 'complex subclassification' approaches that used machine learning and/or genomic data. We found that simple stratification approaches, for example, stratification based on age, body mass index or lipid profiles, had been widely used, but no strategy had been replicated and many lacked association with meaningful outcomes. Complex stratification using clustering of simple clinical data with and without genetic data did show reproducible subtypes of diabetes that had been associated with outcomes such as cardiovascular disease and/or mortality. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into meaningful groups. More studies are needed to test these subclassifications in more diverse ancestries and prove that they are amenable to interventions.
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Goel R, Malhotra B, Rastogi A, Singh T, Bhansali A, Bhadada S. Body fat patterning in lean Asian Indians with diabetes: Case-control study. Diabetes Metab Syndr 2023; 17:102728. [PMID: 36857897 DOI: 10.1016/j.dsx.2023.102728] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/13/2023] [Accepted: 02/15/2023] [Indexed: 02/22/2023]
Abstract
AIM To perform body fat patterning in Asian-Indian individuals with T2D. METHODS A total of 53 patients with recent-onset diabetes and 106 non-diabetic controls were included from screened 261 individuals. Data was divided into 2 groups; overweight/obese [(BMI ≥23 kg/m2); 45 diabetic, 84 non-diabetic] and lean [(BMI <23 kg/m2); 8 diabetic, 22 non-diabetic]. Anthropometry (weight, height, BMI, waist, hip circumference, waist-hip ratio) and lipids, adiponectin and hsCRP were measured. Body composition (BC) was assessed by bioimpedance analysis (BIA) and Dual Energy X-ray absorptiometry (DEXA). We analyzed the association of visceral adipose tissue (VAT) with anthropometric measures to identify predictors of diabetes. RESULTS Total body fat percentage was comparable between patients with T2D and non-diabetic controls in both, obese [35.0 ± 9.1% vs 36.8 ± 8.4%, p = 0.29 (BIA), 40.1 ± 6.7 vs 46.6 ± 4.1%, p = 0.052 (DEXA) and lean [25.1 ± 5.6% vs 26.0 ± 6.7%, p = 0.74 (BIA), 35.3 ± 4.8% vs 34.1 ± 6.3%, p = 0.72 (DEXA) study group. Individuals of T2D (obese or lean) had significantly higher visceral fat rating (BIA), VAT area, volume, mass and VAT corrected for total body fat percentage (DEXA). Obese T2D had lower muscle mass (57.0 ± 6.4% vs 60.0 ± 5.5%, p = 0.03) than obese controls. Intra-abdominal visceral fat (IAVF) [(VFR, VAT (mass/area/volume) and VAT mass corrected for body fat)] had the best sensitivity (71%) for incident diabetes. CONCLUSION Higher Intra-abdominal visceral fat and not total body fat is associated with incident diabetes independent of BMI. IAVF estimation by either BIA or DEXA should be performed to predict diabetes especially in lean individuals.
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Affiliation(s)
- Rohan Goel
- Deptt. Of Internal Medicine, PGIMER, Chandigarh, India
| | | | - Ashu Rastogi
- Deptt Of Endocrinology, PGIMER, Chandigarh, India.
| | - Tulika Singh
- Deptt Of Radiodiagnosis, PGIMER, Chandigarh, India
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Infante M, Pieri M, Lupisella S, Mohamad A, Bernardini S, Della-Morte D, Fabbri A, De Stefano A, Iannetta M, Ansaldo L, Crea A, Andreoni M, Morello M. Admission eGFR predicts in-hospital mortality independently of admission glycemia and C-peptide in patients with type 2 diabetes mellitus and COVID-19. Curr Med Res Opin 2023; 39:505-516. [PMID: 36749566 DOI: 10.1080/03007995.2023.2177380] [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] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Type 2 diabetes mellitus (T2DM) and impaired kidney function are associated with a higher risk of poor outcomes of COVID-19. We conducted a retrospective study in hospitalized T2DM patients with COVID-19 to assess the association between in-hospital mortality and admission values of different hematological/biochemical parameters, including estimated glomerular filtration rate (eGFR), plasma glucose and C-peptide (as a marker of beta-cell function). METHODS The study included T2DM patients with confirmed SARS-CoV-2 infection who were consecutively admitted to our Institution between October 1, 2020 and April 1, 2021. RESULTS Patients (n = 74) were categorized into survivors (n = 55) and non-survivors (n = 19). Non-survivors exhibited significantly higher median WBC count, D-dimer, neutrophil-to-lymphocyte ratio, hsCRP, and procalcitonin levels, as well as significantly lower median serum 25(OH)D levels compared to survivors. Non-survivors exhibited significantly higher median admission plasma glucose (APG) values compared to survivors (210 vs 166 mg/dL; p = 0.026). There was no statistically significant difference in median values of plasma C-peptide between non-survivors and survivors (3.55 vs 3.24 ng/mL; p = 0.906). A significantly higher percentage of patients with an eGFR < 60 mL/min/1.73 m2 was observed in the non-survivor group as compared to the survivor group (57.9% vs 23.6%; p = 0.006). A multivariate analysis performed by a logistic regression model after adjusting for major confounders (age, sex, body mass index, major comorbidities) showed a significant inverse association between eGFR values and risk of in-hospital mortality (OR, 0.956; 95% CI, 0.931-0.983; p = 0.001). We also found a significant positive association between WBC count and risk of in-hospital mortality (OR, 1.210; 95% CI, 1.043-1.404; p = 0.011). CONCLUSIONS Admission eGFR and WBC count predict in-hospital COVID-19 mortality among T2DM patients, independently of traditional risk factors, APG and random plasma C-peptide. Hospitalized patients with COVID-19 and comorbid T2DM associated with impaired kidney function at admission should be considered at high risk for adverse outcomes and death.
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Affiliation(s)
- Marco Infante
- Department of Systems Medicine & Diabetes Research Institute Federation (DRIF), University of Rome Tor Vergata, Rome, Italy
- Section of Diabetes and Metabolic Disorders, UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy
- Cell Transplant Center, Diabetes Research Institute (DRI), University of Miami Miller School of Medicine, Miami, FL, USA
| | - Massimo Pieri
- Department of Experimental Medicine, Clinical Biochemistry and Molecular Biology, Faculty of Medicine, University of Rome Tor Vergata, Rome, Italy
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Santina Lupisella
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Ali Mohamad
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Sergio Bernardini
- Department of Experimental Medicine, Clinical Biochemistry and Molecular Biology, Faculty of Medicine, University of Rome Tor Vergata, Rome, Italy
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
| | - David Della-Morte
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Andrea Fabbri
- Department of Systems Medicine & Diabetes Research Institute Federation (DRIF), University of Rome Tor Vergata, Rome, Italy
| | - Alberto De Stefano
- Psychiatry Unit, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Volunteers Association, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Marco Iannetta
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Infectious Disease Clinic, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Lorenzo Ansaldo
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Infectious Disease Clinic, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Angela Crea
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Infectious Disease Clinic, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Massimo Andreoni
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Infectious Disease Clinic, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Maria Morello
- Department of Experimental Medicine, Clinical Biochemistry and Molecular Biology, Faculty of Medicine, University of Rome Tor Vergata, Rome, Italy
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
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Zheng Y, Yang S, Chen X, Lv J, Su J, Yu S. The Correlation between Type 2 Diabetes and Fat Fraction in Liver and Pancreas: A Study using MR Dixon Technique. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:7073647. [PMID: 36685051 PMCID: PMC9822734 DOI: 10.1155/2022/7073647] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 12/05/2022] [Accepted: 12/08/2022] [Indexed: 01/01/2023]
Abstract
Objective The increased obesity results in ectopic fat deposits in liver and pancreas, which will affect insulin resistance and elevated plasma glucose with type 2 diabetes. To assess the relationship between obesity and ectopic fat deposits and diabetes, this study used the MR Dixon method for the quantification of liver and pancreas fat fraction (FF) in type 2 diabetes mellitus (T2DM) patients and healthy controls. Methods The FF of whole liver (FFWL) and pancreas (FFWP), the maximum diameters of the pancreas, the abdominal subcutaneous adipose area (SAT), the visceral adipose tissue area (VAT), and the total abdominal adipose tissue area (TAT) were measured for 157 subjects using the MR Dixon data. Four groups were established on the basis of BMI value. For statistics, intra- and intergroup comparisons were made by employing independent sample t-test. Results FFWL, FFWP, and VAT varied significantly between T2DM (BMI < 25) and control group (BMI < 25), T2DM (BMI ≥ 25) and control group (BMI ≥ 25), T2DM (BMI < 25) and T2DM (BMI ≥ 25) (all P < 0.05). The FF of pancreas tail, SAT, and TAT varied significantly between control group (BMI < 25) and control group (BMI ≥ 25) (P < 0.05). FFWP and the FF of pancreas tail varied significantly between T2DM and normal volunteers (P < 0.05), with normal or mild liver fat content. Conclusion The tissue FF, which has a close relationship with T2DM, can be assessed by the MR Dixon technique. T2DM patients should pay attention to tissue fat content regardless of BMI values.
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Affiliation(s)
- Yonghong Zheng
- Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China
- Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China
| | - Shengsheng Yang
- Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China
- Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China
| | - Xianyuan Chen
- Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China
- Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China
| | - Jieqin Lv
- Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China
- Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China
| | - Jiawei Su
- Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China
- Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China
| | - Shun Yu
- Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China
- Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China
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Salvatore T, Galiero R, Caturano A, Rinaldi L, Criscuolo L, Di Martino A, Albanese G, Vetrano E, Catalini C, Sardu C, Docimo G, Marfella R, Sasso FC. Current Knowledge on the Pathophysiology of Lean/Normal-Weight Type 2 Diabetes. Int J Mol Sci 2022; 24:ijms24010658. [PMID: 36614099 PMCID: PMC9820420 DOI: 10.3390/ijms24010658] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/21/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Since early times, being overweight and obesity have been associated with impaired glucose metabolism and type 2 diabetes (T2D). Similarly, a less frequent adult-onset diabetes in low body mass index (BMI) people has been known for many decades. This form is mainly found in developing countries, whereby the largest increase in diabetes incidence is expected in coming years. The number of non-obese patients with T2D is also on the rise among non-white ethnic minorities living in high-income Western countries due to growing migratory flows. A great deal of energy has been spent on understanding the mechanisms that bind obesity to T2D. Conversely, the pathophysiologic features and factors driving the risk of T2D development in non-obese people are still much debated. To reduce the global burden of diabetes, we need to understand why not all obese people develop T2D and not all those with T2D are obese. Moreover, through both an effective prevention and the implementation of an individualized clinical management in all people with diabetes, it is hoped that this will help to reduce this global burden. The purpose of this review is to take stock of current knowledge about the pathophysiology of diabetes not associated to obesity and to highlight which aspects are worthy of future studies.
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Affiliation(s)
- Teresa Salvatore
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Raffaele Galiero
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Alfredo Caturano
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Luca Rinaldi
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Livio Criscuolo
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Anna Di Martino
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Gaetana Albanese
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Erica Vetrano
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Christian Catalini
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Celestino Sardu
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Giovanni Docimo
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Raffaele Marfella
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
- Mediterrannea Cardiocentro, I–80122 Napoli, Italy
| | - Ferdinando Carlo Sasso
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
- Correspondence:
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Galán B, Serdan T, Rodrigues L, Manoel R, Gorjão R, Masi L, Pithon-Curi T, Curi R, Hirabara S. Reviewing physical exercise in non-obese diabetic Goto-Kakizaki rats. Braz J Med Biol Res 2022; 55:e11795. [PMID: 35648976 PMCID: PMC9150428 DOI: 10.1590/1414-431x2022e11795] [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: 09/25/2021] [Accepted: 03/09/2022] [Indexed: 11/26/2022] Open
Abstract
There is a high incidence of non-obese type 2 diabetes mellitus (non-obese-T2DM) cases, particularly in Asian countries, for which the pathogenesis remains mainly unclear. Interestingly, Goto-Kakizaki (GK) rats spontaneously develop insulin resistance (IR) and non-obese-T2DM, making them a lean diabetes model. Physical exercise is a non-pharmacological therapeutic approach to reduce adipose tissue mass, improving peripheral IR, glycemic control, and quality of life in obese animals or humans with T2DM. In this narrative review, we selected and analyzed the published literature on the effects of physical exercise on the metabolic features associated with non-obese-T2DM. Only randomized controlled trials with regular physical exercise training, freely executed physical activity, or skeletal muscle stimulation protocols in GK rats published after 2008 were included. The results indicated that exercise reduces plasma insulin levels, increases skeletal muscle glycogen content, improves exercise tolerance, protects renal and myocardial function, and enhances blood oxygen flow in GK rats.
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Affiliation(s)
- B.S.M. Galán
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil
| | - T.D.A. Serdan
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil; New York University, USA
| | - L.E. Rodrigues
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil
| | - R. Manoel
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil
| | - R. Gorjão
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil
| | - L.N. Masi
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil
| | - T.C. Pithon-Curi
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil
| | - R. Curi
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil; Instituto Butantan, Brasil
| | - S.M. Hirabara
- Instituto de Atividade Física e Esportes, Universidade Cruzeiro do Sul, Brasil
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Gupta A, Anoop S, Ansari IA, Prakash S, Misra A. High prevalence of hepatic steatosis and hepatic fibrosis in patients with type 2 diabetes mellitus. Clin Nutr ESPEN 2021; 46:519-526. [PMID: 34857244 DOI: 10.1016/j.clnesp.2021.08.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/29/2021] [Accepted: 08/23/2021] [Indexed: 01/10/2023]
Abstract
AIM To determine the prevalence of hepatic steatosis and fibrosis in patients with T2DM from North India. RESEARCH DESIGN AND METHODS In this cross-sectional study, Asian Indian patients with T2DM (n,250) underwent liver ultrasonography (USG), Fibroscan for assessment of hepatic steatosis (Controlled Attenuation Parameter, CAP) and hepatic fibrosis (Kilopascals, kPa) respectively. Pearson's correlation analysis & logistic regression analysis for significant predictors of hepatic steatosis and fibrosis were done. The cut-off value of liver span was calculated by ROC-AUC analysis. RESULTS Grade 3 hepatic steatosis was seen in 213 T2DM patients (85.2%). It was higher in males than females and in those with high BMI values. Any degree of fibrosis and severe fibrosis were seen in 205 (62%) and 46 (18.4%) patients, respectively; these were higher in males, specifically in those with BMI >30 kg/m2, and diabetes of a duration more than 5 years. BMI and SGPT were the significant predictors of hepatic steatosis. An increase of 1 unit of BMI above 23 kg/m2 led to 19.6 times increased risk of hepatic steatosis in T2DM patients aged 50 years and above. SGOT and GGTP were significant predictors of any degree of hepatic fibrosis. On ROC-AUC analysis, liver span cut-off values of ≥16.4 cms and ≥16.8 cm in males and females respectively, were predictive of hepatic fibrosis. CONCLUSION High prevalence of grade 3 hepatic steatosis and hepatic fibrosis needs increased vigilance and corrective lifestyle and pharmacological measures. Asian Indian patients with T2DM and BMI >30 kg/m2, with duration of diabetes above 5 years & an ultrasound derived liver span ≥16.4 cms, should be further evaluated for hepatic fibrosis.
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Affiliation(s)
- Aanchal Gupta
- Fortis C-DOC Centre of Excellence for Diabetes, Metabolic Diseases and Endocrinology, Chirag Enclave, Nehru Place, New Delhi, India
| | - Shajith Anoop
- Centre of Nutrition & Metabolic Research (C-NET), National Diabetes, Obesity and Cholesterol Foundation (N-DOC), SDA, New Delhi, India; Diabetes Foundation (India), SDA, New Delhi, India
| | - Irshad Ahmad Ansari
- Fortis C-DOC Centre of Excellence for Diabetes, Metabolic Diseases and Endocrinology, Chirag Enclave, Nehru Place, New Delhi, India; Centre of Nutrition & Metabolic Research (C-NET), National Diabetes, Obesity and Cholesterol Foundation (N-DOC), SDA, New Delhi, India
| | - Satya Prakash
- Fortis C-DOC Centre of Excellence for Diabetes, Metabolic Diseases and Endocrinology, Chirag Enclave, Nehru Place, New Delhi, India
| | - Anoop Misra
- Fortis C-DOC Centre of Excellence for Diabetes, Metabolic Diseases and Endocrinology, Chirag Enclave, Nehru Place, New Delhi, India; Centre of Nutrition & Metabolic Research (C-NET), National Diabetes, Obesity and Cholesterol Foundation (N-DOC), SDA, New Delhi, India; Diabetes Foundation (India), SDA, New Delhi, India; Fortis Flt. Lt. Rajan Dhall Hospital, Vasant Kunj, New Delhi, India.
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9
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Mohan V, Misra A, Bloomgarden Z. Type 2 diabetes in the young in South Asia: Clinical heterogeneity and need for aggressive public health measures. J Diabetes 2021; 13:610-612. [PMID: 33963811 DOI: 10.1111/1753-0407.13201] [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] [Indexed: 11/27/2022] Open
Affiliation(s)
- Viswanathan Mohan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Anoop Misra
- Fortis CDOC Centre for Diabetes and Allied Sciences, National Diabetes and Cholesterol Foundation and Diabetes Foundation (India), New Delhi, India
| | - Zachary Bloomgarden
- Department of Medicine, Division of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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10
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Yang L, Liu Z, Ling W, Wang L, Wang C, Ma J, Peng X, Chen J. Effect of Anthocyanins Supplementation on Serum IGFBP-4 Fragments and Glycemic Control in Patients with Fasting Hyperglycemia: A Randomized Controlled Trial. Diabetes Metab Syndr Obes 2020; 13:3395-3404. [PMID: 33061500 PMCID: PMC7532046 DOI: 10.2147/dmso.s266751] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 08/19/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Insulin-like growth factor binding protein-4 (IGFBP-4) fragments have been shown to be associated with cardiometabolic diseases. Anthocyanins as a subgroup of natural polyphenols could have benefits on treating cardiometabolic diseases. The aim of this study was to examine the effects of purified anthocyanins on serum IGFBP-4 fragments and glycemic control in patients with fasting hyperglycemia. METHODS A set of 121 participants with elevated fasting glucose (≥5.6 mmol/L), who were originally randomly assigned to anthocyanins (320 mg/day) or placebo groups, were included in this study. Serum IGFBP-4 fragments, fasting and postload glucose, insulin, and C-peptide after a three-hour oral glucose tolerance test (OGTT) were measured at baseline and at the end of 12 weeks. RESULTS Compared with placebo, anthocyanins increased serum IGFBP-4 fragments (net change 8.33 ng/mL, 95% CI [1.2, 15.47], p=0.023) and decreased fasting glucose (-0.4 mmol/L [-0.71, -0.1], p=0.01), 2-hour C-peptide (-1.02 ng/mL [-1.99, -0.04], p=0.041) and the 3-hour area under the curve (AUC) of C-peptide (-2.19 [-4.11, -0.27], p=0.026). No other significant difference in parameters for glycemic control and insulin resistance was observed. CONCLUSION Anthocyanins supplementation for 12 weeks improved serum IGFBP-4 fragments and decreased fasting glucose and postload C-peptide in patients with fasting hyperglycemia. Further studies are needed to confirm our findings and clarify the potential mechanism. TRIAL REGISTRATION ClinicalTrials.gov, NCT02689765. Registered on 6 February 2016, https://clinicaltrials.gov/ct2/show/NCT02689765.
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Affiliation(s)
- Liping Yang
- Center for Chronic Disease Control, Nanshan, Shenzhen, People’s Republic of China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Zhaomin Liu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Wenhua Ling
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Li Wang
- Center for Chronic Disease Control, Nanshan, Shenzhen, People’s Republic of China
| | - Changyi Wang
- Center for Chronic Disease Control, Nanshan, Shenzhen, People’s Republic of China
| | - Jianping Ma
- Center for Chronic Disease Control, Nanshan, Shenzhen, People’s Republic of China
| | - Xiaolin Peng
- Center for Chronic Disease Control, Nanshan, Shenzhen, People’s Republic of China
| | - Jianying Chen
- Internal Medicine Department, BaiYun Hospital, GuangZhou, GuangDong Province, People’s Republic of China
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Abdel-Hamid HA, Abdel-Hakeem EA, Zenhom NM, Toni NDM. C-peptide corrects hepatocellular dysfunction in a rat model of type 1 diabetes. J Physiol Biochem 2020; 76:417-425. [PMID: 32529526 DOI: 10.1007/s13105-020-00748-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 05/25/2020] [Indexed: 12/16/2022]
Abstract
C-peptide is gaining much interest recently due to its well-documented beneficial effects on multiple organ dysfunction induced by diabetes. Our study was designed to investigate the effect of C-peptide on hepatocellular dysfunction in diabetic rats. Wistar male rats were separated into four groups: control, diabetic, diabetic + insulin, and diabetic + C-peptide. Serum levels of glucose, insulin, and liver biomarkers were assessed. Liver sections were collected for histopathological examination and immuno-histochemical assessment of tumor necrosis factor alpha (TNF-α). Oxidative stress markers and gene expression of inducible nitric oxide synthase (iNOS), transforming growth factor beta 1 (TGF-β1), and glucose-6-phosphatase (G6Pase) were also measured in liver tissues. C-peptide administration prevented hepatic dysfunction induced by diabetes to a similar extent as that of insulin which was confirmed microscopically. We concluded that C-peptide could be used as an alternative therapy to insulin to correct hepatocellular dysfunction associated with type 1 diabetes mellitus (T1DM).
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Affiliation(s)
- Heba A Abdel-Hamid
- Medical Physiology Department, Faculty of Medicine, Minia University, Minia, Egypt.
| | | | - Nagwa M Zenhom
- Biochemistry Department, Faculty of Medicine, Minia University, Minia, Egypt
| | - Nisreen D M Toni
- Pathology Department, Faculty of Medicine, Minia University, Minia, Egypt
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12
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Guildford L, Crofts C, Lu J. Can the Molar Insulin: C-Peptide Ratio Be Used to Predict Hyperinsulinaemia? Biomedicines 2020; 8:biomedicines8050108. [PMID: 32375229 PMCID: PMC7277201 DOI: 10.3390/biomedicines8050108] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 04/29/2020] [Accepted: 04/30/2020] [Indexed: 01/18/2023] Open
Abstract
Hyperinsulinaemia is the precursor to numerous metabolic disorders. Early diagnosis and intervention could improve population health. Diagnosing hyperinsulinaemia is problematic because insulin has a very short half-life (2–5 min). It is theorised that c-peptide levels (half-life 20–30 min) would be a better proxy for insulin due to both hormones being released in equimolar amounts. However, the correlation between c-peptide and insulin levels is unknown. We aim to identify their correlation following a four-hour oral glucose tolerance test (OGTT). Data were obtained from records of routine medical care at St Joseph’s Hospital, Chicago, IL, USA, during 1977. Two hundred and fifty-five male and female participants aged over 20 years undertook a four-hour OGTT with plasma glucose, insulin and c-peptide levels recorded. Correlation was assessed with Pearson’s correlation. There was a weak correlation between insulin and c-peptide, which increased to moderate across the four-hour OGTT (r = 0.482–0.680). There was no significant change in this relationship when data was subdivided according to either the WHO glucose status or Kraft insulin response. Although there was a correlation between insulin and c-peptide, it was too weak to recommend the use of c-peptide as an alternative biomarker for the diagnosis of hyperinsulinaemia.
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Affiliation(s)
- Lynda Guildford
- School of Public Health and Interdisciplinary Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 0627, New Zealand;
- School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 1010, New Zealand
| | - Catherine Crofts
- School of Public Health and Interdisciplinary Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 0627, New Zealand;
- Human Potential Centre, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 0632, New Zealand
- Correspondence: (C.C.); (J.L.); Tel.: +64-9-921-9999 (ext. 6030) (C.C.); +64-9-921-9999 (ext. 7381) (J.L.)
| | - Jun Lu
- School of Public Health and Interdisciplinary Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 0627, New Zealand;
- School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 1010, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, Auckland 1010, New Zealand
- Institute of Biomedical Technology, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand
- College of Life and Marine Sciences, Shenzhen University, Shenzhen 518071, China
- College of Food Engineering and Nutrition Sciences, Shaanxi Normal University, Xi’an 710119, China
- Correspondence: (C.C.); (J.L.); Tel.: +64-9-921-9999 (ext. 6030) (C.C.); +64-9-921-9999 (ext. 7381) (J.L.)
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Coskun ZM, Beydogan AB, Bolkent S. Changes in the expression levels of CB1 and GLP‐1R mRNAs and microRNAs 33a and 122 in the liver of type 2 diabetic rats treated with ghrelin. J Biochem Mol Toxicol 2019; 33:e22388. [DOI: 10.1002/jbt.22388] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 05/29/2019] [Accepted: 08/12/2019] [Indexed: 12/17/2022]
Affiliation(s)
- Zeynep M. Coskun
- Department of Molecular Biology and Genetics, Faculty of Arts and SciencesDemiroglu Bilim UniversityIstanbul Turkey
| | - Alisa B. Beydogan
- Department of Medical Biology, Faculty of Cerrahpasa MedicineIstanbul University‐CerrahpasaIstanbul Turkey
| | - Sema Bolkent
- Department of Medical Biology, Faculty of Cerrahpasa MedicineIstanbul University‐CerrahpasaIstanbul Turkey
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Anti-Diabetic Effects and Mechanisms of Dietary Polysaccharides. Molecules 2019; 24:molecules24142556. [PMID: 31337059 PMCID: PMC6680889 DOI: 10.3390/molecules24142556] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 07/11/2019] [Accepted: 07/12/2019] [Indexed: 02/07/2023] Open
Abstract
Diabetes mellitus is a multifactorial, heterogeneous metabolic disorder, causing various health complications and economic issues, which apparently impacts the human's life. Currently, commercial diabetic drugs are clinically managed for diabetic treatment that has definite side effects. Dietary polysaccharides mainly derive from natural sources, including medicinal plants, grains, fruits, vegetables, edible mushroom, and medicinal foods, and possess anti-diabetic potential. Hence, this review summarizes the effects of dietary polysaccharides on diabetes and underlying molecular mechanisms related to inflammatory factors, oxidative stress, and diabetes in various animal models. The analysis of literature and appropriate data on anti-diabetic polysaccharide from electronic databases was conducted. In vivo and in vitro trials have revealed that treatment of these polysaccharides has hypoglycemic, hypolipidemic, antioxidant, and anti-inflammatory effects, which enhance pancreatic β-cell mass and alleviates β-cell dysfunction. It enhances insulin signaling pathways through insulin receptors and activates the PI3K/Akt pathway, and eventually modulates ERK/JNK/MAPK pathway. In conclusion, dietary polysaccharides can effectively ameliorate hyperglycemia, hyperlipidemia, low-grade inflammation, and oxidative stress in type 2 diabetes mellitus (T2DM), and, thus, consumption of polysaccharides can be a valuable choice for diabetic control.
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Abstract
PURPOSE OF REVIEW Obesity has increased in South Asian countries that are still grappling with undernutrition. In this review, we highlight the characteristics of obesity, its relation to morbidities, and its management in South Asians. A literature search was conducted using relevant search engines and based on key words focusing on obesity in South Asians. RECENT FINDINGS The increasing trend in obesity prevalence is caused by imbalanced diets and physical inactivity. South Asians, in general, have higher body fat and lower skeletal muscle mass at the same or lower BMIs compared to white people ("high body fat-normal BMI-low muscle mass" phenotype). In addition, excess abdominal adiposity, typically seen in South Asians, and increased hepatic fat (non-alcoholic fatty liver disease) are associated with an increased risk for type 2 diabetes and cardiovascular disease. Challenges in treatment include lack of awareness regarding correct diets and non-compliance to diet and exercise regimens. Social and cultural issues limit physical activity in South Asian women. Finally, there is a lack of expert health professionals to deal with increased cases of obesity. Aggressive management of obesity is required in South Asians, with more intensive and earlier diet and exercise interventions (i.e., at lower BMI levels than internationally accepted). At a population level, there is no clear policy for tackling obesity in any South Asian country. Prevention strategies focusing on obesity in childhood and the creation of food and activity environments that encourage healthy lifestyles should be firmly applied. Obesity in South Asians should be evaluated with ethnic-specific guidelines and prevention and management strategies should be applied early and aggressively.
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Affiliation(s)
- Anoop Misra
- Metabolic Diseases and Allied Specialties, Fortis-C-DOC Hospital for Diabetes, B-16, Chirag Enclave, New Delhi, India.
- National Diabetes, Obesity and Cholesterol Foundation, New Delhi, India.
- Diabetes Foundation (India), New Delhi, India.
| | - Ranil Jayawardena
- Department of Physiology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Shajith Anoop
- Metabolic Diseases and Allied Specialties, Fortis-C-DOC Hospital for Diabetes, B-16, Chirag Enclave, New Delhi, India
- National Diabetes, Obesity and Cholesterol Foundation, New Delhi, India
- Diabetes Foundation (India), New Delhi, India
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