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Ayis S, Mangelis A, Fountoulakis N, Collins J, Alobaid TS, Gnudi L, Hopkins D, Vas P, Thomas S, Goubar A, Karalliedde J. Ten years trajectories of estimated glomerular filtration rate (eGFR) in a multiethnic cohort of people with type 1 diabetes and preserved renal function. BMJ Open 2024; 14:e083186. [PMID: 39260863 DOI: 10.1136/bmjopen-2023-083186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/13/2024] Open
Abstract
OBJECTIVES We aim to evaluate estimated glomerular filtration rate (eGFR) patterns of progression in a multiethnic cohort of people with type I diabetes mellitus and with baseline eGFR ≥45 mL/min/1.73 m2. DESIGN Observational cohort. SETTING People with a clinical diagnosis of type 1 diabetes, attending two university hospital-based outpatient diabetes clinics, in South London between 2004 and 2018. PARTICIPANTS We studied 1495 participants (52% females, 81% white, 12% African-Caribbean and 7% others). PRIMARY AND SECONDARY OUTCOME MEASURES Clinical measures including weight and height, systolic blood pressure, diastolic blood pressure and laboratory results (such as serum creatinine, urine albumin to creatinine ratio (ACR), HbA1c were collected from electronic health records (EHRs) and eGFR was estimated by the Chronic Kidney Disease-Epidemiology Collaboration. Ethnicity was self-reported. RESULTS Five predominantly linear patterns/groups of eGFR trajectories were identified. Group I (8.5%) had a fast eGFR decline (>3 mL/min/1.73 m2 year). Group II (23%) stable eGFR, group III (29.8%), groups IV (26.3%) and V (12.4%) have preserved eGFR with no significant fall. Group I had the highest proportion (27.6%) of African-Caribbeans. Significant differences between group I and the other groups were observed in age, gender, HbA1C, systolic and diastolic blood pressure, body mass index, cholesterol and urine ACR, p<0.05 for all. At 10 years of follow-up, 33% of group I had eGFR <30 and 16.5%<15 (mL/min/1.73 m2). CONCLUSIONS Distinct trajectories of eGFR were observed in people with type 1 diabetes. The group with the highest risk of eGFR decline had a greater proportion of African-Caribbeans compared with others and has higher prevalence of traditional modifiable risk factors for kidney disease.
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Affiliation(s)
- Salma Ayis
- Population Health Sciences, King's College London, London, UK
| | | | - Nikolaos Fountoulakis
- King's Health Partners and School of Cardiovascular Medicine & Sciences, King's College London, London, UK
| | - Julian Collins
- King's College Hospital NHS Trust, King's College London, London, UK
| | | | - Luigi Gnudi
- King's Health Partners and King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular & Metabolic Medicine and Sciences, King's College London, London, UK
| | - David Hopkins
- King's College Hospital NHS Foundation Trust / King's Health Partners, King's College London, London, UK
| | - Prashanth Vas
- Diabetes and Endocrinology, King's College Hospital NHS Foundation Trust, London, UK
| | - Stephen Thomas
- Guy's and St Thomas' NHS Trust, King's Health Partners, London, UK
| | - Aicha Goubar
- Population Health Sciences, King's College London, London, UK
| | - Janaka Karalliedde
- King's Health Partners and King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular & Metabolic Medicine and Sciences, King's College London, London, UK
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Karger AB, Nasrallah IM, Braffett BH, Luchsinger JA, Ryan CM, Bebu I, Arends V, Habes M, Gubitosi-Klug RA, Chaytor N, Biessels GJ, Jacobson AM. Plasma Biomarkers of Brain Injury and Their Association With Brain MRI and Cognition in Type 1 Diabetes. Diabetes Care 2024; 47:1530-1538. [PMID: 38861647 PMCID: PMC11362129 DOI: 10.2337/dc24-0229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/30/2024] [Indexed: 06/13/2024]
Abstract
OBJECTIVE To evaluate associations between plasma biomarkers of brain injury and MRI and cognitive measures in participants with type 1 diabetes (T1D) from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study. RESEARCH DESIGN AND METHODS Plasma amyloid-β-40, amyloid-β-42, neurofilament light chain (NfL), phosphorylated Tau-181 (pTau-181), and glial fibrillary acidic protein (GFAP) were measured in 373 adults who participated in the DCCT/EDIC study. MRI assessments included total brain and white matter hyperintensity volumes, white matter mean fractional anisotropy, and indices of Alzheimer disease (AD)-like atrophy and predicted brain age. Cognitive measures included memory and psychomotor and mental efficiency tests and assessments of cognitive impairment. RESULTS Participants were 60 (range 44-74) years old with 38 (30-51) years' T1D duration. Higher NfL was associated with an increase in predicted brain age (0.51 years per 20% increase in NfL; P < 0.001) and a 19.5% increase in the odds of impaired cognition (P < 0.01). Higher NfL and pTau-181 were associated with lower psychomotor and mental efficiency (P < 0.001) but not poorer memory. Amyloid-β measures were not associated with study measures. A 1% increase in mean HbA1c was associated with a 14.6% higher NfL and 12.8% higher pTau-181 (P < 0.0001). CONCLUSIONS In this aging T1D cohort, biomarkers of brain injury did not demonstrate an AD-like profile. NfL emerged as a biomarker of interest in T1D because of its association with higher HbA1c, accelerated brain aging on MRI, and cognitive dysfunction. Our study suggests that early neurodegeneration in adults with T1D is likely due to non-AD/nonamyloid mechanisms.
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Affiliation(s)
- Amy B. Karger
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Ilya M. Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | | | | | - Ionut Bebu
- The Biostatistics Center, George Washington University, Rockville, MD
| | - Valerie Arends
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Mohamad Habes
- Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonino, TX
| | - Rose A. Gubitosi-Klug
- Case Western Reserve University, Rainbow Babies and Children’s Hospital, Cleveland, OH
| | - Naomi Chaytor
- Department of Community and Behavioral Health, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA
| | - Geert J. Biessels
- Department of Neurology, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Alan M. Jacobson
- New York University Grossman Long Island School of Medicine, New York University Langone Hospital-Long Island, Mineola, NY
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Limonte CP, Gao X, Bebu I, Seegmiller JC, Karger AB, Lorenzi GM, Molitch M, Karanchi H, Perkins BA, de Boer IH. Associations of Kidney Tubular Biomarkers With Incident Macroalbuminuria and Sustained Low eGFR in DCCT/EDIC. Diabetes Care 2024; 47:1539-1547. [PMID: 38484321 PMCID: PMC11362110 DOI: 10.2337/dc23-2196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/30/2024] [Indexed: 08/29/2024]
Abstract
OBJECTIVE Tubulointerstitial injury contributes to diabetic kidney disease (DKD) progression. We tested tubular biomarker associations with DKD development in type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS We performed a case-cohort study examining associations of tubular biomarkers, measured across seven time points spanning ∼30 years, with incident macroalbuminuria ("severely elevated albuminuria," urinary albumin excretion rate [AER] ≥300 mg/day) and sustained low estimated glomerular filtration rate (eGFR) (persistent eGFR <60 mL/min/1.73 m2) in the Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) study. Biomarkers included KIM-1 and sTNFR1 in serum/plasma, MCP-1 and EGF in urine, and a composite tubular secretion score reflecting secreted solute clearance. We assessed biomarkers using single values, as mean values from consecutive time points, and as change over consecutive time points, each as time-updated exposures. RESULTS At baseline, mean diabetes duration was 5.9 years, with mean HbA1c 8.9%, eGFR 125 mL/min/1.73 m2, and AER 16 mg/day. There were 4.8 and 3.5 cases per 1,000 person-years of macroalbuminuria and low eGFR, respectively. Assessed according to single biomarker values, KIM-1 was associated with risk of subsequent macroalbuminuria and low eGFR (hazard ratio [HR] per 20% higher biomarker 1.11 [95% CI 1.06, 1.16] and 1.12 [1.04, 1.21], respectively) and sTNFR1 was associated with subsequent macroalbuminuria (1.14 [1.03, 1.25]). Mean KIM-1 and EGF-to-MCP-1 ratio were associated with subsequent low eGFR. In slope analyses, increases in KIM-1 and sTNFR1 were associated with subsequent macroalbuminuria (per 20% biomarker increase, HR 1.81 [1.40, 2.34] and 1.95 [1.18, 3.21]) and low eGFR (2.26 [1.65, 3.09] and 2.94 [1.39, 6.23]). CONCLUSIONS Serial KIM-1 and sTNFR1 are associated with incident macroalbuminuria and sustained low eGFR in T1D.
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Affiliation(s)
- Christine P. Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
- Kidney Research Institute, University of Washington, Seattle, WA
| | - Xiaoyu Gao
- Biostatistics Center, The George Washington University, Rockville, MD
| | - Ionut Bebu
- Biostatistics Center, The George Washington University, Rockville, MD
| | - Jesse C. Seegmiller
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Amy B. Karger
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Gayle M. Lorenzi
- Department of Medicine, University of California, San Diego, La Jolla, CA
| | | | - Harsha Karanchi
- Department of Medicine, Medical University of South Carolina, Charleston, SC
| | - Bruce A. Perkins
- Division of Endocrinology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Ian H. de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
- Kidney Research Institute, University of Washington, Seattle, WA
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Zhu S, Kang Z, Zhang F. Tanshinone IIA suppresses ferroptosis to attenuate renal podocyte injury in diabetic nephropathy through the embryonic lethal abnormal visual-like protein 1 and acyl-coenzyme A synthetase long-chain family member 4 signaling pathway. J Diabetes Investig 2024; 15:1003-1016. [PMID: 38650121 PMCID: PMC11292391 DOI: 10.1111/jdi.14206] [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: 12/22/2023] [Revised: 03/05/2024] [Accepted: 03/19/2024] [Indexed: 04/25/2024] Open
Abstract
AIMS/INTRODUCTION Tanshinone IIA (TIIA) is one of the main components of the root of the red-rooted Salvia miltiorrhiza Bunge. However, the molecular mechanisms underlying TIIA-mediated protective effects in diabetic nephropathy (DN) are still unclear. MATERIALS AND METHODS High glucose (HG)-induced mouse podocyte cell line (MPC5) cells were used as the in vitro model of DN and treated with TIIA. Cell viability, proliferation and apoptosis were detected using 3-(4, 5-dimethylthiazolyl-2)-2, 5-diphenyltetrazolium bromide, 5-ethynyl-2'-deoxyuridine and flow cytometry assays. The protein levels were assessed using western blot assay. The levels of inflammatory factors were deleted by enzyme-linked immunoassay. Fe+ level, reactive oxygen species, malondialdehyde and glutathione products were detected using special assay kits. After ENCORI prediction, the interaction between embryonic lethal abnormal visual-like protein 1 (ELAVL1) and acyl-coenzyme A synthetase long-chain family member 4 (ACSL4) was verified using co-immunoprecipitation assay and dual-luciferase reporter assays. ACSL4 messenger ribonucleic acid expression was measured using real-time quantitative polymerase chain reaction. RESULTS TIIA repressed HG-induced MPC5 cell apoptosis, inflammatory response and ferroptosis. ACSL4 upregulation relieved the repression of TIIA on HG-mediated MPC5 cell injury and ferroptosis. ELAVL1 is bound with ACSL4 to positively regulate the stability of ACSL4 messenger ribonucleic acid. TIIA hindered HG-triggered MPC5 cell injury and ferroptosis by regulating the ELAVL1-ACSL4 pathway. TIIA blocked DN progression in in vivo research. CONCLUSION TIIA treatment restrained HG-caused MPC5 cell injury and ferroptosis partly through targeting the ELAVL1-ACSL4 axis, providing a promising therapeutic target for DN treatment.
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Affiliation(s)
- Shuai Zhu
- Graduate SchoolXinxiang Medical UniversityXinxiangChina
- Department of Endocrinology and MetabolismZhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouChina
| | - Zhiqiang Kang
- Department of Endocrinology and MetabolismZhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouChina
| | - Fengjiao Zhang
- Department of Endocrinology and MetabolismZhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouChina
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Escobar Vasco MA, Fantaye SH, Raghunathan S, Solis-Herrera C. The potential role of finerenone in patients with type 1 diabetes and chronic kidney disease. Diabetes Obes Metab 2024. [PMID: 39021345 DOI: 10.1111/dom.15773] [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: 04/05/2024] [Revised: 06/20/2024] [Accepted: 06/22/2024] [Indexed: 07/20/2024]
Abstract
Chronic kidney disease (CKD) represents a global health concern, associated with an increased risk of cardiovascular morbidity and mortality and decreased quality of life. Many patients with type 1 diabetes (T1D) will develop CKD over their lifetime. Uncontrolled glucose levels, which occur in patients with T1D as well as type 2 diabetes (T2D), are associated with substantial mortality and cardiovascular disease burden. T2D and T1D share common pathological features of CKD, which is thought to be driven by haemodynamic dysfunction, metabolic disturbances, and subsequently an influx of inflammatory and profibrotic mediators, both of which are major interrelated contributors to CKD progression. The mineralocorticoid receptor is also involved, and, under conditions of oxidative stress, salt loading and hyperglycaemia, it switches from homeostatic regulator to pathophysiological mediator by promoting oxidative stress, inflammation and fibrosis. Progressive glomerular and tubular injury leads to macroalbuminuria a progressive reduction in the glomerular filtration rate and eventually end-stage renal disease. Finerenone, a non-steroidal, selective mineralocorticoid receptor antagonist, is approved for treatment of patients with CKD associated with T2D; however, the benefit of finerenone in patients with T1D has yet to be determined. This narrative review will discuss treatment of CKD in T1D and the potential future role of finerenone in this setting.
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Affiliation(s)
| | - Samuel H Fantaye
- Division of Endocrinology, University of Texas Health, San Antonio, Texas, USA
| | - Sapna Raghunathan
- Division of Endocrinology, University of Texas Health, San Antonio, Texas, USA
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6
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Gangqiang G, Hua C, Hongyu S. Risk predictors of glycaemic control in children and adolescents with type 1 diabetes: A systematic review and meta-analysis. J Clin Nurs 2024; 33:2412-2426. [PMID: 38661073 DOI: 10.1111/jocn.17110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/09/2024] [Accepted: 03/01/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVES To conduct systematic evaluation of the risk predictors of glycaemic control in children and adolescents with type 1 diabetes mellitus. METHODS Cohort studies on risk predictors of glycaemic control in children and adolescents with type 1 diabetes were retrieved from CNKI, PubMed, Web of Science, Embase databases, etc. from the construction of the repository to 3 February 2023. Literature screening was conducted according to inclusion and exclusion criteria, then data extraction of region, sample size, age, follow-up time, risk predictors, outcome indicators, etc., and quality evaluation of The Newcastle-Ottawa Scale were conducted by two researchers while the third researcher makes decisions if there are disagreements. Finally, Revman5.4 and StataMP17 were used for meta-analysis. RESULTS A total of 29 studies were included, and the results showed that insulin pump [Weighed mean difference (WMD) = -.48, 95% CI (-.73, -.24), p < .01], high-frequency sensor monitoring, early use of insulin pumps, prospective follow-up male, white race, large body mass index-standardised scoring, conscientiousness, agreeableness of mothers, eicosapentaenoic acid, leucine and protein (p < .05) were beneficial for reducing HbA1c levels in children and adolescents with diabetes. Ketoacidosis [WMD = .39, 95% CI (.28, .50), p < .01], selective admission, higher HbA1c level at one time (p < .01), higher glutamate decarboxylase antibody at 1 month after diagnosis, lower socio-economic status, non-living with biological parents, non-two-parent family, family disorder, family history of diabetes and high carbohydrate intake (p < .05) increased HbA1c levels in children and adolescents with diabetes. CONCLUSION For children and adolescents with type 1 diabetes mellitus, the use of insulin pump, high-frequency sensor monitoring, prospective follow-up, good family support and reasonable diet are conducive to blood glucose control, while selective admission and DKA are not. Disease characteristics and demographic characteristics of children are closely related to subsequent blood glucose control, and the relationship between diagnosis age and blood glucose control needs to be further explored.
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Affiliation(s)
- Gao Gangqiang
- School of Nursing, Peking University, Beijing, China
| | - Chen Hua
- School of Nursing, Peking University, Beijing, China
| | - Sun Hongyu
- School of Nursing, Peking University, Beijing, China
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7
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Muthukumar A, Badawy L, Mangelis A, Vas P, Thomas S, Gouber A, Ayis S, Karalliedde J. HbA 1c variability is independently associated with progression of diabetic kidney disease in an urban multi-ethnic cohort of people with type 1 diabetes. Diabetologia 2024:10.1007/s00125-024-06197-2. [PMID: 38902524 DOI: 10.1007/s00125-024-06197-2] [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: 01/21/2024] [Accepted: 04/23/2024] [Indexed: 06/22/2024]
Abstract
AIMS/HYPOTHESIS The role of HbA1c variability in the progression of diabetic kidney disease is unclear, with most studies to date performed in White populations and limited data on its role in predicting advanced kidney outcomes. Our aim was to evaluate if long-term intra-individual HbA1c variability is a risk factor for kidney disease progression (defined as an eGFR decline of ≥50% from baseline with a final eGFR of <30 ml/min per 1.73 m2) in an ethnically heterogeneous cohort of people with type 1 diabetes with a preserved eGFR ≥45 ml/min per 1.73 m2 at baseline. METHODS Electronic health record data from people attending outpatient clinics between 2004 and 2018 in two large university hospitals in London were collected. HbA1c variability was assessed using three distinct methods: (1) SD of HbA1c (SD-HbA1c); (2) visit-adjusted SD (adj-HbA1c): SD-HbA1c/√n/(n-1), where n is the number of HbA1c measurements per participant; and (3) CV (CV-HbA1c): SD-HbA1c/mean-HbA1c. All participants had six or more follow-up HbA1c measurements. The eGFR was measured using the Chronic Kidney Disease Epidemiology Collaboration equation and clinical/biochemical results from routine care were extracted from electronic health records. RESULTS In total, 3466 participants (50% female, 78% White, 13% African Caribbean, 3% Asian and 6% of mixed heritage or self-reporting as 'other') were followed for a median (IQR) of 8.2 (4.2-11.6) years. Of this cohort, 249 (7%) showed kidney disease progression. Higher HbA1c variability was independently associated with a higher risk of kidney disease progression, with HRs (95% CIs) of 7.76 (4.54, 13.26), 2.62 (1.75, 3.94) and 5.46 (3.40, 8.79) (lowest vs highest HbA1c variability quartile) for methods 1-3, respectively. Increasing age, baseline HbA1c, systolic BP and urinary albumin/creatinine ratio were also associated with kidney disease progression (p<0.05 for all). African Caribbean ethnicity was associated with an increased risk of kidney disease progression (HR [95% CI] 1.47 [1.09, 1.98], 1.76 [1.32, 2.36] and 1.57 [1.17, 2.12] for methods 1-3, respectively) and this effect was independent of glycaemic variability and other traditional risk factors. CONCLUSIONS/INTERPRETATION We observed an independent association between HbA1c variability, evaluated using three distinct methods, and significant kidney disease progression in a multi-ethnic type 1 diabetes cohort. Further studies are needed to elucidate the mechanisms that may explain our results and evaluate if HbA1c variability is a modifiable risk factor for preventing diabetic kidney disease progression.
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Affiliation(s)
- Ananya Muthukumar
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Layla Badawy
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | | | - Prashant Vas
- Department of Diabetes and Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Stephen Thomas
- Department of Diabetes and Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Aicha Gouber
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Salma Ayis
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Janaka Karalliedde
- Faculty of Life Sciences and Medicine, King's College London, London, UK.
- Department of Diabetes and Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
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Huang JX, Copeland TP, Pitts CE, Myers SR, Kilberg MJ, Ku E, Glaser N. Transient albuminuria in the setting of short-term severe hyperglycemia in type 1 diabetes. J Diabetes Complications 2024; 38:108762. [PMID: 38703638 DOI: 10.1016/j.jdiacomp.2024.108762] [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: 02/23/2024] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 05/06/2024]
Abstract
In a cohort of 1817 children with type 1 diabetes (T1D), short-term hyperglycemia was associated with transient albuminuria (11 % during new-onset T1D without diabetic ketoacidosis (DKA), 12 % during/after DKA, 6 % during routine screening). Our findings have implications regarding future risk of diabetic kidney disease and further investigation is needed.
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Affiliation(s)
- Jia Xin Huang
- Department of Pediatrics, University of California San Francisco, United States of America.
| | - Timothy P Copeland
- Department of Medicine, University of California San Francisco, United States of America
| | - Casey E Pitts
- Department of Medicine, University of California San Francisco, United States of America
| | - Sage R Myers
- Department of Medicine, University of California San Francisco, United States of America
| | - Marissa J Kilberg
- Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, United States of America
| | - Elaine Ku
- Department of Pediatrics, University of California San Francisco, United States of America; Department of Medicine, University of California San Francisco, United States of America
| | - Nicole Glaser
- Department of Pediatrics, University of California Davis School of Medicine, Sacramento, United States of America
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Yeh YK, Lin KH, Sheu WHH, Lo SH, Yeh YP, Huang CN, Hwu CM, Lu CH. Determinants of early chronic kidney disease in patients with recently diagnosed type 2 diabetes mellitus: a retrospective study from the Taiwan Diabetes Registry. BMC Nephrol 2024; 25:133. [PMID: 38622535 PMCID: PMC11017602 DOI: 10.1186/s12882-024-03567-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 03/28/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND We tried to identify the risk factor associate with early chronic kidney disease (CKD) in recently diagnosed type 2 diabetes mellitus patients by utilizing real-world data from Taiwan Diabetes Registry. MATERIALS AND METHODS Patients with type 2 diabetes mellitus recently diagnosed within 1 year. We divided the study participants into control group and early CKD group. Early CKD was defined as either CKD stage G1 with albuminuria, CKD stage G2 with albuminuria, or CKD stage G3a regardless of albuminuria (Urine-albumin to creatinine ratio (UACR) ≥ 3 mg/mmol). Control group was defined as CKD G1 or CKD G2 without albuminuria. Logistic regression analyses were used to compare differences in clinical characteristics between the subgroups. Linear regression models were employed to examine the factors predicting estimated glomerular filtration rate (eGFR) and UACR. RESULTS Total 2217 patients with recently diagnosed type 2 diabetes mellitus were included. 1545 patients were assigned to control group and 618 patients were assigned to the early CKD group. Age (odds ratio (OR) 1.215, 95% confidence interval [CI] 1.122-1.316), systolic blood pressure (OR 1.203, 95% CI 1.117-1.296), glycated hemoglobin (OR 1.074, 95% CI 1.023-1.129) and triglyceride (OR 2.18, 95% CI 1.485-3.199) were found to be significant risk factors. Further, presence of bidirectional association between UACR and eGFR was found. CONCLUSIONS We reported factors associated with early CKD in recently diagnosed type 2 diabetes mellitus patients. Variables that associated with eGFR and UACR were identified respectively, included a mutual influence between UACR and eGFR.
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Affiliation(s)
- Yun-Kai Yeh
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, Taipei City, 112, Taiwan R.O.C
| | - Kuan-Hung Lin
- Department of Medicine, National Yang Ming Chiao Tung University Hospital, No. 169, Xiaoshe Rd., Yilan County, 260, Taiwan R.O.C
| | - Wayne Huey-Herng Sheu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, Taipei City, 112, Taiwan R.O.C
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350, Taiwan R.O.C
- Faculty of Medicine, National Yang Ming Chiao Tung University School of Medicine, No. 155, Sec. 2, Li-Nong Street, Beitou District, Taipei, 112, Taiwan R.O.C
| | - Su-Huey Lo
- Tao-Yuan General Hospital, Ministry of Health and Welfare, No. 1492, Zhongshan Rd., Taoyuan Dist, Taoyuan City, 330, Taiwan R.O.C
| | - Yen-Po Yeh
- Changhua County Public Health Bureau, No. 162, Sec. 2, Jhongshan Rd., Changhua County, 500, Taiwan R.O.C
| | - Chien-Ning Huang
- Institute of Medicine, Chung Shan Medical University Hospital, No. 110, Section 1, Jianguo North Road, Taichung City, 402, Taiwan R.O.C
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, Taipei City, 112, Taiwan R.O.C..
- Faculty of Medicine, National Yang Ming Chiao Tung University School of Medicine, No. 155, Sec. 2, Li-Nong Street, Beitou District, Taipei, 112, Taiwan R.O.C..
| | - Chieh-Hsiang Lu
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Ditmanson Medical Foundation, Chiayi Christian Hospital, No. 539 Jhongsiao Rd., Chia-Yi City, 600, Taiwan R.O.C..
- Lutheran Medical Foundation, Kaohsiung Christian Hospital, No. 86, Huasin St., Lingya Dis., Ksohsiung City, 802, Taiwan.
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Mottl AK, Tryggestad JB, Isom S, Gubitosi-Klug RA, Henkin L, White NH, D'Agostino R, Hughan KS, Dolan LM, Drews KL. Major adverse events in youth-onset type 1 and type 2 diabetes: The SEARCH and TODAY studies. Diabetes Res Clin Pract 2024; 210:111606. [PMID: 38493952 PMCID: PMC11103672 DOI: 10.1016/j.diabres.2024.111606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/20/2024] [Accepted: 03/04/2024] [Indexed: 03/19/2024]
Abstract
AIMS To determine contemporary incidence rates and risk factors for major adverse events in youth-onset T1D and T2D. METHODS Participant interviews were conducted once during in-person visits from 2018 to 2019 in SEARCH (T1D: N = 564; T2D: N = 149) and semi-annually from 2014 to 2020 in TODAY (T2D: N = 495). Outcomes were adjudicated using harmonized, predetermined, standardized criteria. RESULTS Incidence rates (events per 10,000 person-years) among T1D participants were: 10.9 ophthalmologic; 0 kidney; 11.1 nerve, 3.1 cardiac; 3.1 peripheral vascular; 1.6 cerebrovascular; and 15.6 gastrointestinal events. Among T2D participants, rates were: 40.0 ophthalmologic; 6.2 kidney; 21.2 nerve; 21.2 cardiac; 10.0 peripheral vascular; 5.0 cerebrovascular and 42.8 gastrointestinal events. Despite similar mean diabetes duration, complications were higher in youth with T2D than T1D: 2.5-fold higher for microvascular, 4.0-fold higher for macrovascular, and 2.7-fold higher for gastrointestinal disease. Univariate logistic regression analyses in T1D associated age at diagnosis, female sex, HbA1c and mean arterial pressure (MAP) with microvascular events. In youth-onset T2D, composite microvascular events associated positively with MAP and negatively with BMI, however composite macrovascular events associated solely with MAP. CONCLUSIONS In youth-onset diabetes, end-organ events were infrequent but did occur before 15 years diabetes duration. Rates were higher and had different risk factors in T2D versus T1D.
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Affiliation(s)
- Amy K Mottl
- University of North Carolina Kidney Center, UNC School of Medicine, Chapel Hill, NC, United States.
| | - Jeanie B Tryggestad
- University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Scott Isom
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Rose A Gubitosi-Klug
- Rainbow Babies and Children's Hospital and Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Leora Henkin
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Neil H White
- Washington University in St. Louis School of Medicine, St. Louis, MO, United States
| | - Ralph D'Agostino
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Kara S Hughan
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States
| | - Lawrence M Dolan
- University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Kimberly L Drews
- The Biostatistics Center, George Washington University, Rockville, MD, United States
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11
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Thrasher JR, Arrieta A, Niu F, Cameron KR, Cordero TL, Shin J, Rhinehart AS, Vigersky RA. Early Real-World Performance of the MiniMed™ 780G Advanced Hybrid Closed-Loop System and Recommended Settings Use in the United States. Diabetes Technol Ther 2024; 26:24-31. [PMID: 38377317 DOI: 10.1089/dia.2023.0453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Background: The MiniMed™ 780G system (MM780G) with Guardian™ 4 sensor includes a 100 mg/dL glucose target (GT) and automated insulin corrections up to every 5 min and was recently approved for use in the United States. In the present study, early real-world MM780G performance and the use of recommended system settings (100 mg/dL GT with an active insulin time of 2 h), by individuals with type 1 diabetes, were evaluated. Methods: CareLink™ personal data uploaded between the launch of the MM780G to August 22, 2023 were aggregated and underwent retrospective analysis (based on user consent) and if users had ≥10 days of continuous glucose monitoring (CGM) data. The 24-h day CGM metrics, including mean glucose, percentage of time spent in (%TIR), above (%TAR), and below (%TBR) target range (70-180 mg/dL), in addition to delivered insulin and closed-loop (CL) exits, were compared between an overall group (n = 7499) and individuals who used recommended settings (each, for >95% of the time). An analysis of the same metrics for MiniMed™ 770G system (MM770G) users (n = 3851) who upgraded to the MM780G was also conducted (paired t-test or Wilcoxon signed-rank test, P < 0.05 considered statistically significant). Results: For MM780G users, CGM use, and time in CL were >90% and all MM780G CGM metrics exceeded consensus-recommended goals. With recommended settings (22% of all users), mean %TIR and %TITR (70-140 mg/dL) were 81.4% and 56.4%, respectively. For individuals who upgraded from the MM770G, %TIR and %TITR increased from 73.2% to 78.3% and 45.8% to 52.6%, respectively, while %TAR reduced from 25.1% to 20.2% (P < 0.001, for all three). CL exits/week averaged <1, for all MM780G users. Conclusions: Early real-world MM780G use in the United States demonstrated a high percentage of time in range with low time above and below range. These outcomes are similar to those observed for real-world MM780G use in other countries.
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Affiliation(s)
- James R Thrasher
- Arkansas Diabetes and Endocrinology Center, Little Rock, Arkansas, USA
| | - Arcelia Arrieta
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | - Fang Niu
- Medtronic Diabetes, Northridge, California, USA
| | | | | | - John Shin
- Medtronic Diabetes, Northridge, California, USA
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12
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Lin YB, Chang TJ. Age at onset of type 1 diabetes between puberty and 30 years old is associated with increased diabetic nephropathy risk. Sci Rep 2024; 14:3611. [PMID: 38351110 PMCID: PMC10864267 DOI: 10.1038/s41598-024-54137-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 02/08/2024] [Indexed: 02/16/2024] Open
Abstract
Diabetic nephropathy is a critical complication of patients with type 1 diabetes, while epidemiological studies were scarce among Asian countries. We conducted a cross-sectional study to identify factors associated with diabetic nephropathy by questionnaires, using student's t-test, chi-square test, and multivariable logistic regression. Among 898 participants, 16.7% had diabetic nephropathy. Compared with non-diabetic nephropathy patients, the patients with diabetic nephropathy had significantly higher percentage with onset age of type 1 diabetes between puberty and under 30 years old (female ≥ 12 or male ≥ 13 years old to 29 years old), longer diabetes duration, having family history of diabetes and diabetic nephropathy, accompanied with hypertension, hyperlipidemia, or coronary artery disease (CAD). Compared with patients with onset age before puberty, the odds of diabetic nephropathy occurrence increased to 1.61 times in patients with onset age between puberty and under 30 years old (p = 0.012) after adjusting diabetes duration. Age of diabetes onset between puberty and under 30 years old, diabetes duration, HbA1c, hospital admission within 3 years, diabetic retinopathy, hypertension, systolic blood pressure (SBP), triglyceride levels, and use of angiotensin converting enzyme inhibitor (ACEI) and/or angiotensin receptor blockers (ARB) were independent factors associated with diabetic nephropathy Screening for proteinuria is important in daily clinical practice and should be part of diabetes self-management education for patients with type 1 diabetes.
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Affiliation(s)
- Yen-Bo Lin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital Bei-Hu Branch, Taipei, Taiwan
| | - Tien-Jyun Chang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
- National Taiwan University School of Medicine, Taipei, Taiwan.
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13
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Erandathi MA, Wang WYC, Mayo M, Lee CC. Comprehensive Factors for Predicting the Complications of DiabetesMellitus: A Systematic Review. Curr Diabetes Rev 2024; 20:e040124225240. [PMID: 38178670 PMCID: PMC11327746 DOI: 10.2174/0115733998271863231116062601] [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: 07/12/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND This article focuses on extracting a standard feature set for predicting the complications of diabetes mellitus by systematically reviewing the literature. It is conducted and reported by following the guidelines of PRISMA, a well-known systematic review and meta-analysis method. The research articles included in this study are extracted using the search engine "Web of Science" over eight years. The most common complications of diabetes, diabetic neuropathy, retinopathy, nephropathy, and cardiovascular diseases are considered in the study. METHOD The features used to predict the complications are identified and categorised by scrutinising the standards of electronic health records. RESULT Overall, 102 research articles have been reviewed, resulting in 59 frequent features being identified. Nineteen attributes are recognised as a standard in all four considered complications, which are age, gender, ethnicity, weight, height, BMI, smoking history, HbA1c, SBP, eGFR, DBP, HDL, LDL, total cholesterol, triglyceride, use of insulin, duration of diabetes, family history of CVD, and diabetes. The existence of a well-accepted and updated feature set for health analytics models to predict the complications of diabetes mellitus is a vital and contemporary requirement. A widely accepted feature set is beneficial for benchmarking the risk factors of complications of diabetes. CONCLUSION This study is a thorough literature review to provide a clear state of the art for academicians, clinicians, and other stakeholders regarding the risk factors and their importance.
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Affiliation(s)
| | | | | | - Ching-Chi Lee
- National Chen Kung University Hospital, Tainan, Taiwan
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14
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Shu Y, Xiong Y, Song Y, Jin S, Bai X. Positive association between circulating Caveolin-1 and microalbuminuria in overt diabetes mellitus in pregnancy. J Endocrinol Invest 2024; 47:201-212. [PMID: 37358699 DOI: 10.1007/s40618-023-02137-w] [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: 12/03/2022] [Accepted: 06/13/2023] [Indexed: 06/27/2023]
Abstract
AIMS Mounting evidence has shown that caveolin-1 plays a pathological role in the progression of albuminuria. Our study aimed to provide clinical evidence showing whether circulating caveolin-1 levels were associated with microalbuminuria (MAU) in women with overt diabetes mellitus in pregnancy (ODMIP). METHODS A total of 150 pregnant women were enrolled in different groups, including 40 women with ODMIP and MAU (ODMIP + MAU), 40 women with ODMIP, and 70 women without ODMIP (Non-ODMIP). Plasma caveolin-1 levels were determined by ELISA. The presence of caveolin-1 in the human umbilical vein vascular wall was evaluated by immunohistochemical and western blot analysis, respectively. Albumin transcytosis across endothelial cells was measured using an established nonradioactive in vitro approach. RESULTS Significantly increased levels of plasma caveolin-1 were detected in ODMIP + MAU women. The Pearson's correlation analysis revealed a positive correlation between plasma caveolin-1 levels and Hemoglobin A1c (HbA1c %) as well as with MAU in the ODMIP + MAU group. Simultaneously, experimental knockdown or overexpression of caveolin-1 significantly decreased or increased the level of albumin transcytosis across both human and mouse glomerular endothelial cells (GECs), respectively. CONCLUSIONS Our data showed a positive association between plasma caveolin-1 levels and microalbuminuria in ODMIP + MAU.
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Affiliation(s)
- Y Shu
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Lake Road, East Lake Ecological Scenic, Wuhan, 430077, Hubei Province, China
| | - Y Xiong
- Department of Laboratory Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Lake Road, East Lake Ecological Scenic, Wuhan, 430077, Hubei Province, China
| | - Y Song
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Lake Road, East Lake Ecological Scenic, Wuhan, 430077, Hubei Province, China
| | - S Jin
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Lake Road, East Lake Ecological Scenic, Wuhan, 430077, Hubei Province, China.
| | - X Bai
- Department of Laboratory Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Lake Road, East Lake Ecological Scenic, Wuhan, 430077, Hubei Province, China.
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15
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Burlaka I. Apoptosis-Controlling, Clinical, Laboratory, Anamnestic Factors in Prediction of the Early Stage of Diabetic Nephropathy in Children. Glob Pediatr Health 2023; 10:2333794X231214456. [PMID: 38106637 PMCID: PMC10722950 DOI: 10.1177/2333794x231214456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 10/26/2023] [Accepted: 10/30/2023] [Indexed: 12/19/2023] Open
Abstract
Background. The most prevalent microvascular consequence of type 1 diabetes (T1D) is diabetic nephropathy (DN). Aim of the Study. To find the clinical, anamnestic, and genetic markers that characterize and forecast early diabetic nephropathy in T1D children. Methods. One hundred four children with T1D and DN between the ages of 2 and 17 were surveyed. Stepwise logistic regression models and linear regression models were used. Results. BMI, systolic blood pressure, concurrent kidney pathology, anamnesis viral infections, ESR level, serum cholesterol, blood urea, number of DKA episodes/year, and GFR were determined to be predictors of early DN in children with T1D. Bcl-xL, caspase-3, and HIF-1alfa were discovered to predict DN among all previously identified variables influencing apoptosis. Conclusion. BMI, systolic blood pressure, concurrent kidney disease, anamnesis viral infections, ESR level, serum cholesterol, blood urea, number of DKA episodes/year, GFR, apoptotic and hypoxia markers were discovered as variables predicting early DN.
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16
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Al-Zahrani N, AlSwat HK, AlQarni AM, Alzahrani SS, Boubshait LA, Alassaf LA, Alsalman Z. Prevalence and Risk Factors of Diabetic Nephropathy Among Saudi Type-1 Diabetic Patients in Taif City, Saudi Arabia. Diabetes Metab Syndr Obes 2023; 16:3609-3616. [PMID: 37964940 PMCID: PMC10642383 DOI: 10.2147/dmso.s432700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/26/2023] [Indexed: 11/16/2023] Open
Abstract
Purpose We investigated the prevalence and associated risk factors of DNP in T1DM patients in Taif city, Saudi Arabia, where the renal diseases are prevalent. The incidence of diabetic nephropathy (DNP) is increasing in Saudi Arabia, and the country is also ranked 4th in terms of the number of diagnosed type-1 diabetes (T1DM) patients. Patients and Methods The retrospective cohort study was conducted with type-1 diabetes patients registered at King Abdulaziz Specialist Hospital in Taif, Saudi Arabia. A total of 198 patients (aged > 18 years), had T1DM for more than 5 years with documented albuminuria; albumin-creatinine ratio (ACR) ≥30 mg/g creatinine in two of three urine samples or estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2, were included in the study. Patients' demographic and laboratory data were collected from medical records. A regression analysis model was used to identify risk factors for DNP. Statistical significance was set at P < 0.05. Results The overall prevalence of DNP was 23.7% in our study group, with 8% having low eGFR alone, 20.71% having positive ACR and 6.22% having both positive ACR and low eGFR. A statistically significant correlation between DNP and risk factors was found for uncontrolled and longer duration of T1DM, elevated ACR, and hypertension (P < 0.05). No statistical significance was found for age, sex, or body mass index (BMI). Conclusion The prevalence of DNP in T1DM patients in Taif city was higher (23.7%) than the pooled average prevalence in Saudi Arabia (20.59%). Patients' education regarding glycemic and blood pressure control could reduce the burden.
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Affiliation(s)
- Noura Al-Zahrani
- Department of Medicine, Hera General Hospital, Ministry of Health, Makkah, Saudi Arabia
| | - Hameed Khoshaiban AlSwat
- Pediatric Endocrinologist, Endocrine Diabetic Center, King Abdulaziz Specialist Hospital, Taif, Saudi Arabia
| | - Amani M AlQarni
- Family and Community medicine department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | | | - Leila A Boubshait
- Department of Family and Community Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Lujain A Alassaf
- Clinical Insights, Clinical Excellence, Saudi Center for National Health Insurance, Riyadh, Saudi Arabia
| | - Zaenb Alsalman
- Department of Family and Community Medicine, College of Medicine, King Faisal University, Al-Ahsa, Saudi Arabia
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17
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Xu D, Jiang C, Xiao Y, Ding H. Identification and validation of disulfidptosis-related gene signatures and their subtype in diabetic nephropathy. Front Genet 2023; 14:1287613. [PMID: 38028597 PMCID: PMC10658004 DOI: 10.3389/fgene.2023.1287613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
Background: Diabetic nephropathy (DN) is the most common complication of diabetes, and its pathogenesis is complex involving a variety of programmed cell death, inflammatory responses, and autophagy mechanisms. Disulfidptosis is a newly discovered mechanism of cell death. There are little studies about the role of disulfidptosis on DN. Methods: First, we obtained the data required for this study from the GeneCards database, the Nephroseq v5 database, and the GEO database. Through differential analysis, we obtained differential disulfidptosis-related genes. At the same time, through WGCNA analysis, we obtained key module genes in DN patients. The obtained intersecting genes were further screened by Lasso as well as SVM-RFE. By intersecting the results of the two, we ended up with a key gene for diabetic nephropathy. The diagnostic performance and expression of key genes were verified by the GSE30528, GSE30529, GSE96804, and Nephroseq v5 datasets. Using clinical information from the Nephroseq v5 database, we investigated the correlation between the expression of key genes and estimated glomerular filtration rate (eGFR) and serum creatinine content. Next, we constructed a nomogram and analyzed the immune microenvironment of patients with DN. The identification of subtypes facilitates individualized treatment of patients with DN. Results: We obtained 91 differential disulfidptosis-related genes. Through WGCNA analysis, we obtained 39 key module genes in DN patients. Taking the intersection of the two, we preliminarily screened 20 genes characteristic of DN. Through correlation analysis, we found that these 20 genes are positively correlated with each other. Further screening by Lasso and SVM-RFE algorithms and intersecting the results of the two, we identified CXCL6, CD48, C1QB, and COL6A3 as key genes in DN. Clinical correlation analysis found that the expression levels of key genes were closely related to eGFR. Immune cell infiltration is higher in samples from patients with DN than in normal samples. Conclusion: We identified and validated 4 DN key genes from disulfidptosis-related genes that CXCL6, CD48, C1QB, and COL6A3 may be key genes that promote the onset of DN and are closely related to the eGFR and immune cell infiltrated in the kidney tissue.
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Affiliation(s)
- Danping Xu
- School of Medicine, University of Electronic Science and Technology of China, Sichuan Provincial People’s Hospital, Chengdu, China
| | - Chonghao Jiang
- Affiliated Hospital of North China University of Science and Technology, Tangshan, China
| | - Yonggui Xiao
- North China University of Science and Technology, Tangshan, China
| | - Hanlu Ding
- Renal Division and Institute of Nephrology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
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18
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Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, Clark AL, Colclough K, Corcoy R, Cromer SJ, Duan D, Felton JL, Francis EC, Gillard P, Gingras V, Gaillard R, Haider E, Hughes A, Ikle JM, Jacobsen LM, Kahkoska AR, Kettunen JLT, Kreienkamp RJ, Lim LL, Männistö JME, Massey R, Mclennan NM, Miller RG, Morieri ML, Most J, Naylor RN, Ozkan B, Patel KA, Pilla SJ, Prystupa K, Raghavan S, Rooney MR, Schön M, Semnani-Azad Z, Sevilla-Gonzalez M, Svalastoga P, Takele WW, Tam CHT, Thuesen ACB, Tosur M, Wallace AS, Wang CC, Wong JJ, Yamamoto JM, Young K, Amouyal C, Andersen MK, Bonham MP, Chen M, Cheng F, Chikowore T, Chivers SC, Clemmensen C, Dabelea D, Dawed AY, Deutsch AJ, Dickens LT, DiMeglio LA, Dudenhöffer-Pfeifer M, Evans-Molina C, Fernández-Balsells MM, Fitipaldi H, Fitzpatrick SL, Gitelman SE, Goodarzi MO, Grieger JA, Guasch-Ferré M, Habibi N, Hansen T, Huang C, Harris-Kawano A, Ismail HM, Hoag B, Johnson RK, Jones AG, Koivula RW, Leong A, Leung GKW, Libman IM, Liu K, Long SA, Lowe WL, Morton RW, Motala AA, Onengut-Gumuscu S, Pankow JS, Pathirana M, Pazmino S, Perez D, Petrie JR, Powe CE, Quinteros A, Jain R, Ray D, Ried-Larsen M, Saeed Z, Santhakumar V, Kanbour S, Sarkar S, Monaco GSF, Scholtens DM, Selvin E, Sheu WHH, Speake C, Stanislawski MA, Steenackers N, Steck AK, Stefan N, Støy J, Taylor R, Tye SC, Ukke GG, Urazbayeva M, Van der Schueren B, Vatier C, Wentworth JM, Hannah W, White SL, Yu G, Zhang Y, Zhou SJ, Beltrand J, Polak M, Aukrust I, de Franco E, Flanagan SE, Maloney KA, McGovern A, Molnes J, Nakabuye M, Njølstad PR, Pomares-Millan H, Provenzano M, Saint-Martin C, Zhang C, Zhu Y, Auh S, de Souza R, Fawcett AJ, Gruber C, Mekonnen EG, Mixter E, Sherifali D, Eckel RH, Nolan JJ, Philipson LH, Brown RJ, Billings LK, Boyle K, Costacou T, Dennis JM, Florez JC, Gloyn AL, Gomez MF, Gottlieb PA, Greeley SAW, Griffin K, Hattersley AT, Hirsch IB, Hivert MF, Hood KK, Josefson JL, Kwak SH, Laffel LM, Lim SS, Loos RJF, Ma RCW, Mathieu C, Mathioudakis N, Meigs JB, Misra S, Mohan V, Murphy R, Oram R, Owen KR, Ozanne SE, Pearson ER, Perng W, Pollin TI, Pop-Busui R, Pratley RE, Redman LM, Redondo MJ, Reynolds RM, Semple RK, Sherr JL, Sims EK, Sweeting A, Tuomi T, Udler MS, Vesco KK, Vilsbøll T, Wagner R, Rich SS, Franks PW. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat Med 2023; 29:2438-2457. [PMID: 37794253 PMCID: PMC10735053 DOI: 10.1038/s41591-023-02502-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 10/06/2023]
Abstract
Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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Affiliation(s)
- Deirdre K Tobias
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Merino
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Abrar Ahmad
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Catherine Aiken
- Department of Obstetrics and Gynaecology, The Rosie Hospital, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Jamie L Benham
- Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Dhanasekaran Bodhini
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Amy L Clark
- Division of Pediatric Endocrinology, Department of Pediatrics, Saint Louis University School of Medicine, SSM Health Cardinal Glennon Children's Hospital, St. Louis, MO, USA
| | - Kevin Colclough
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Rosa Corcoy
- CIBER-BBN, ISCIII, Madrid, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Sara J Cromer
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jamie L Felton
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | | | - Véronique Gingras
- Department of Nutrition, Université de Montréal, Montreal, Quebec, Quebec, Canada
- Research Center, Sainte-Justine University Hospital Center, Montreal, Quebec, Quebec, Canada
| | - Romy Gaillard
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eram Haider
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Alice Hughes
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jennifer M Ikle
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jarno L T Kettunen
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Raymond J Kreienkamp
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Pediatrics, Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Asia Diabetes Foundation, Hong Kong SAR, China
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jonna M E Männistö
- Departments of Pediatrics and Clinical Genetics, Kuopio University Hospital, Kuopio, Finland
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Robert Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Niamh-Maire Mclennan
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Rachel G Miller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mario Luca Morieri
- Metabolic Disease Unit, University Hospital of Padova, Padova, Italy
- Department of Medicine, University of Padova, Padova, Italy
| | - Jasper Most
- Department of Orthopedics, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
| | - Rochelle N Naylor
- Departments of Pediatrics and Medicine, University of Chicago, Chicago, IL, USA
| | - 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
| | - Kashyap Amratlal Patel
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sridharan Raghavan
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, 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
| | - Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Magdalena Sevilla-Gonzalez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Pernille Svalastoga
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Claudia Ha-Ting Tam
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Cathrine B Thuesen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mustafa Tosur
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - 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
| | - Caroline C Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessie J Wong
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Katherine Young
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Chloé Amouyal
- Department of Diabetology, APHP, Paris, France
- Sorbonne Université, INSERM, NutriOmic team, Paris, France
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - Feifei Cheng
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Tinashe Chikowore
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Aaron J Deutsch
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Laura T Dickens
- Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Linda A DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VAMC, Indianapolis, IN, USA
| | - María Mercè Fernández-Balsells
- Biomedical Research Institute Girona, IdIBGi, Girona, Spain
- Diabetes, Endocrinology and Nutrition Unit Girona, University Hospital Dr Josep Trueta, Girona, Spain
| | - Hugo Fitipaldi
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Stephen E Gitelman
- University of California at San Francisco, Department of Pediatrics, Diabetes Center, San Francisco, CA, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chuiguo Huang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Arianna Harris-Kawano
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benjamin Hoag
- Division of Endocrinology and Diabetes, Department of Pediatrics, Sanford Children's Hospital, Sioux Falls, SD, USA
- University of South Dakota School of Medicine, E Clark St, Vermillion, SD, USA
| | - Randi K Johnson
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Robert W Koivula
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Aaron Leong
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | | | - Kai Liu
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Robert W Morton
- Department of Pathology & Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Sofia Pazmino
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Dianna Perez
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John R Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Camille E Powe
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Rashmi Jain
- Sanford Children's Specialty Clinic, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, 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
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- Institute for Sports and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Zeb Saeed
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Vanessa Santhakumar
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kanbour
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- AMAN Hospital, Doha, Qatar
| | - Sudipa Sarkar
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Gabriela S F Monaco
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, 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
| | - Wayne Huey-Herng Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan
- Divsion of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nele Steenackers
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- University Hospital of Tübingen, Tübingen, Germany
| | - Julie Støy
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | | | - Sok Cin Tye
- Sections on Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Marzhan Urazbayeva
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Gastroenterology, Baylor College of Medicine, Houston, TX, USA
| | - Bart Van der Schueren
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
| | - Camille Vatier
- Sorbonne University, Inserm U938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, Paris, France
- Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Paris, France
| | - John M Wentworth
- Royal Melbourne Hospital Department of Diabetes and Endocrinology, Parkville, Victoria, Australia
- Walter and Eliza Hall Institute, Parkville, Victoria, Australia
- University of Melbourne Department of Medicine, Parkville, Victoria, Australia
| | - Wesley Hannah
- Deakin University, Melbourne, Victoria, Australia
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Gechang Yu
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingchai Zhang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shao J Zhou
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Jacques Beltrand
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Michel Polak
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew McGovern
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Mariam Nakabuye
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pål Rasmus Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Hugo Pomares-Millan
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sungyoung Auh
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Russell de Souza
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Clinical and Organizational Development, Chicago, IL, USA
| | | | - Eskedar Getie Mekonnen
- College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emily Mixter
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Diana Sherifali
- Population Health Research Institute, Hamilton, Ontario, Canada
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Robert H Eckel
- Division of Endocrinology, Metabolism, Diabetes, University of Colorado, Aurora, CO, USA
| | - John J Nolan
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Department of Endocrinology, Wexford General Hospital, Wexford, Ireland
| | - Louis H Philipson
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Rebecca J Brown
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Prtizker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Kristen Boyle
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - John M Dennis
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jose C Florez
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anna L Gloyn
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Faculty of Health, Aarhus University, Aarhus, Denmark
| | - Peter A Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Siri Atma W Greeley
- Departments of Pediatrics and Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Kurt Griffin
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | - Marie-France Hivert
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Jami L Josefson
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Siew S Lim
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ronald C W Ma
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | | | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes & Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Rinki Murphy
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Auckland, New Zealand
- Medical Bariatric Service, Te Whatu Ora Counties, Health New Zealand, Auckland, New Zealand
| | - Richard Oram
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Katharine R Owen
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Susan E Ozanne
- University of Cambridge, Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, Cambridge, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Maria J Redondo
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Robert K Semple
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Emily K Sims
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Tiinamaija Tuomi
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Miriam S Udler
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Tina Vilsbøll
- Clinial Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robert Wagner
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Paul W Franks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark.
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Jiang J, Zhou X, Lan L, Weng J, Ren W. The correlation between serum uric acid and diabetic kidney disease in adult-onset type 1 diabetes patients in China. Acta Diabetol 2023; 60:1231-1239. [PMID: 37264251 PMCID: PMC10359385 DOI: 10.1007/s00592-023-02119-7] [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: 03/16/2023] [Accepted: 05/10/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND/AIM To assess the correlation between serum uric acid (UA) level and diabetic kidney disease among adult-onset Type 1 diabetes mellitus (T1DM) patients in China. METHODS A total of 184 patients with adult-onset T1DM between January 2014 and December 2016 were recruited, with demographics and medical data collected. Comparisons were performed between according to different serum UA gender-specific quartiles. Relationship between serum UA level with urinary ACR and eGFR was also assessed. RESULTS Median urinary ACR and eGFR were 21.55 [10.79, 45.02] mg/g and 113.86 [88.43, 143.61] ml/min/1.73 m2, respectively. The median UA was 257.4 (208.2-334.8) μmol/L. Participants with higher serum UA levels had higher urinary ACR and lower eGFR than those with lower UA (P < 0.05). Higher serum UA level was significantly associated with higher urinary ACR in Spearman's correlational analysis (P = 0.006) and multiple stepwise regression analysis (P = 0.013). The association between serum UA and urinary ACR was not linear, but showed a curve correlation, which also showed in the sensitivity analysis. Serum UA in the upper gender-specific quartile, was associated with lower eGFR (P < 0.001) and showed an independent negative correlation with eGFR in multiple stepwise regression analysis (P < 0.001). CONCLUSIONS The serum UA level was negatively correlated with eGFR and had a curve correlation with urinary ACR in adult-onset T1DM patients of China.
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Affiliation(s)
- Jun Jiang
- Cheeloo College of Medicine, Shandong University, Jinan, 250021, Shandong, China
- The Department of Nephrology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Xiaowan Zhou
- The Department of Nephrology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Lei Lan
- The Department of Nephrology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Jianping Weng
- Cheeloo College of Medicine, Shandong University, Jinan, 250021, Shandong, China.
- The Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China.
| | - Wei Ren
- Cheeloo College of Medicine, Shandong University, Jinan, 250021, Shandong, China.
- The Department of Nephrology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China.
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20
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Jiang J, Zhou X, Lan L, Ren W. The correlation between serum uric acid and diabetic kidney disease in type 1 diabetes patients in Anhui, China. BMC Nephrol 2023; 24:252. [PMID: 37612612 PMCID: PMC10463645 DOI: 10.1186/s12882-023-03302-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 08/18/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND/AIM To assess the correlation between serum uric acid (UA) level and diabetic kidney disease (DKD) in Type 1 diabetes (T1DM) patients in Anhui, China. METHODS A total of 231 patients diagnosed with T1DM in our hospital were enrolled between January 2014 and December 2016. Urinary albumin-creatinine ratio (ACR) in patients with hyperuricemia was compared with those without hyperuricemia. The relationship between serum UA level and urinary ACR was examined by Spearman's correlational analysis and multiple stepwise regression analysis. The binary logistic multivariate regression analysis was performed to analyze the correlated factors for type 1 DKD. RESULTS The average serum UA levels were 257.7 [215.0, 338.0]μmol/L. The median levels of urinary ACR were significantly higher in patients with hyperuricemia than those without hyperuricemia. In multiple stepwise regression analysis, Serum UA levels were positively correlated with the urinary ACR. The logistic multivariate regression analysis showed that hyperuricemia (OR: 5.24, 95% CI: 1.40-19.65, P = 0.014) had an independent positive correlation with DKD in T1DM patients, and the odds of Serum UA to DKD were both elevated as the serum UA levels rose no matter whether adjustment for traditional confounders. The area under the receiver operating characteristic curve was 0.62 (95% CI: 0.55-0.70) in assessing the discrimination of the serum UA level for DKD in T1DM patients. CONCLUSIONS In Chinese patients with T1DM, the serum UA level is positively correlated with urinary ACR and DKD. The correlation between Serum UA and DKD gradually increases with serum UA levels. Serum UA level is not a good predictor for DKD in T1DM patients. Serum UA may directly contribute to initiating DKD, while it has little direct but an indirect effect on an already established DKD in T1DM patients.
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Affiliation(s)
- Jun Jiang
- Department of Nephrology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Xiaowan Zhou
- Department of Nephrology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Lei Lan
- Department of Nephrology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Wei Ren
- Department of Nephrology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China.
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21
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Madar H, Lalanne-Mistrih ML, Lebbar M, Wu Z, Robitaille Y, Pelletier J, Grou C, Brazeau AS, Rabasa-Lhoret R. Cardiovascular Risk Factors and Adherence to Cardiovascular Protection Practice Guidelines in Adults With Type 1 Diabetes: A BETTER Registry Cross-sectional Analysis. Can J Diabetes 2023; 47:473-481.e1. [PMID: 37059389 DOI: 10.1016/j.jcjd.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 02/12/2023] [Accepted: 04/05/2023] [Indexed: 04/16/2023]
Abstract
OBJECTIVES Cardiovascular disease (CVD) is a major cause of morbidity and mortality in people with type 1 diabetes (PWT1D). We assessed cardiovascular risk factors and pharmacologic treatment in a large Canadian cohort of PWT1D. METHODS This cross-sectional study used data from adult PWT1D in the BETTER registry (n=974). CVD risk factor status, diabetes complications, and treatments (used as proxy for blood pressure and dyslipidemia) were self-reported through online questionnaires. Objective data were available for a subgroup of PWT1D (23%, n=224). RESULTS Participants were adults (43.9±14.8 years) with a diabetes duration of 23.3±15.2 years; 34.8% reported glycated hemoglobin (A1C) levels of ≤7%, 67.2% reported a very high cardiovascular risk, and 27.2% reported at least 3 CVD risk factors. Most participants received care for CVD in accordance with the Diabetes Canada Clinical Practice Guidelines (DC-CPG), with a median recommended pharmacologic treatment score of 75.0%. However, 3 subgroups of participants with lower adherence (<70%) to DC-CPG were identified: 1) those with microvascular complications and receiving a statin (60.8%, 208 of 342) or renin-angiotensin axis nephroprotective therapy (52.6%, 180 of 342); 2) those aged ≥40 years and receiving statin therapy (67.1%, 369 of 550); and 3) those aged ≥30 years with a diabetes duration of ≥15 years and receiving statin therapy (58.9%, 344 of 584). Among a subgroup of participants with recent laboratory results, only 24.5% of PWT1D (26 of 106) achieved both A1C and low-density lipoprotein cholesterol targets. CONCLUSIONS Most PWT1D received recommended pharmacologic cardiovascular protection, but specific subgroups required special attention. Target achievement for key risk factors remains suboptimal.
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Affiliation(s)
- Houssein Madar
- Montreal Clinical Research Institute, Montréal, Québec, Canada
| | - Marie-Laure Lalanne-Mistrih
- Montreal Clinical Research Institute, Montréal, Québec, Canada; Department of Nutrition, University Hospital, Abymes, Guadeloupe, France; UFR Medicine, French West Indies University, Abymes, Guadeloupe, France
| | - Maha Lebbar
- Montreal Clinical Research Institute, Montréal, Québec, Canada; Department of Nutrition, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Zekai Wu
- Montreal Clinical Research Institute, Montréal, Québec, Canada; Department of Medicine, Division of Experimental Medicine, McGill University, Montréal, Québec, Canada
| | - Yves Robitaille
- Centre de Médecine Métabolique de Lanaudière, Terrebone, Québec, Canada
| | | | - Caroline Grou
- Montreal Clinical Research Institute, Montréal, Québec, Canada
| | - Anne-Sophie Brazeau
- Montreal Clinical Research Institute, Montréal, Québec, Canada; School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Québec, Canada; Montréal Diabetes Research Center, Montréal, Québec, Canada
| | - Rémi Rabasa-Lhoret
- Montreal Clinical Research Institute, Montréal, Québec, Canada; Department of Nutrition, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada; Department of Medicine, Division of Experimental Medicine, McGill University, Montréal, Québec, Canada; Montréal Diabetes Research Center, Montréal, Québec, Canada; Centre Hospitalier de l'Université de Montréal Endocrinology Division and CHUM Research Center, Montréal, Québec, Canada.
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22
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Heerspink HJ, Cherney DZ, Groop PH, Matthieu C, Rossing P, Tuttle KR, McGill JB. People with type 1 diabetes and chronic kidney disease urgently need new therapies: a call for action. Lancet Diabetes Endocrinol 2023:S2213-8587(23)00168-7. [PMID: 37364589 DOI: 10.1016/s2213-8587(23)00168-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 06/05/2023] [Indexed: 06/28/2023]
Affiliation(s)
- Hiddo Jl Heerspink
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, 9700 RB Groningen, Netherlands; The George Institute for Global Health, Sydney, NSW, Australia.
| | | | - Per-Henrik Groop
- 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; Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Helsinki, Finland; Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | | | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Katherine R Tuttle
- Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA; Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Seattle, WA, USA
| | - Janet B McGill
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO, USA
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23
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Wei M, Liu X, Tan Z, Tian X, Li M, Wei J. Ferroptosis: a new strategy for Chinese herbal medicine treatment of diabetic nephropathy. Front Endocrinol (Lausanne) 2023; 14:1188003. [PMID: 37361521 PMCID: PMC10289168 DOI: 10.3389/fendo.2023.1188003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/23/2023] [Indexed: 06/28/2023] Open
Abstract
Diabetic nephropathy (DN) is a serious microvascular complication of diabetes. It has become a leading cause of death in patients with diabetes and end-stage renal disease. Ferroptosis is a newly discovered pattern of programmed cell death. Its main manifestation is the excessive accumulation of intracellular iron ion-dependent lipid peroxides. Recent studies have shown that ferroptosis is an important driving factor in the onset and development of DN. Ferroptosis is closely associated with renal intrinsic cell (including renal tubular epithelial cells, podocytes, and mesangial cells) damage in diabetes. Chinese herbal medicine is widely used in the treatment of DN, with a long history and definite curative effect. Accumulating evidence suggests that Chinese herbal medicine can modulate ferroptosis in renal intrinsic cells and show great potential for improving DN. In this review, we outline the key regulators and pathways of ferroptosis in DN and summarize the herbs, mainly monomers and extracts, that target the inhibition of ferroptosis.
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Affiliation(s)
- Maoying Wei
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xingxing Liu
- Department of Emergency, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhijuan Tan
- Department of Traditional Chinese Medicine, The Seventh Hospital of Xingtai, Xingtai, Heibei, China
| | - Xiaochan Tian
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Mingdi Li
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Junping Wei
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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24
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Habes M, Jacobson AM, Braffett BH, Rashid T, Ryan CM, Shou H, Cui Y, Davatzikos C, Luchsinger JA, Biessels GJ, Bebu I, Gubitosi-Klug RA, Bryan RN, Nasrallah IM. Patterns of Regional Brain Atrophy and Brain Aging in Middle- and Older-Aged Adults With Type 1 Diabetes. JAMA Netw Open 2023; 6:e2316182. [PMID: 37261829 PMCID: PMC10236234 DOI: 10.1001/jamanetworkopen.2023.16182] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/09/2023] [Indexed: 06/02/2023] Open
Abstract
Importance Little is known about structural brain changes in type 1 diabetes (T1D) and whether there are early manifestations of a neurodegenerative condition like Alzheimer disease (AD) or evidence of premature brain aging. Objective To evaluate neuroimaging markers of brain age and AD-like atrophy in participants with T1D in the Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) study, identify which brain regions are associated with the greatest changes in patients with T1D, and assess the association between cognition and brain aging indices. Design, Setting, and Participants This cohort study leveraged data collected during the combined DCCT (randomized clinical trial, 1983-1993) and EDIC (observational study, 1994 to present) studies at 27 clinical centers in the US and Canada. A total of 416 eligible EDIC participants and 99 demographically similar adults without diabetes were enrolled in the magnetic resonance imaging (MRI) ancillary study, which reports cross-sectional data collected in 2018 to 2019 and relates it to factors measured longitudinally in DCCT/EDIC. Data analyses were performed between July 2020 and April 2022. Exposure T1D diagnosis. Main Outcomes and Measures Psychomotor and mental efficiency were evaluated using verbal fluency, digit symbol substitution test, trail making part B, and the grooved pegboard. Immediate memory scores were derived from the logical memory subtest of the Wechsler memory scale and the Wechsler digit symbol substitution test. MRI and machine learning indices were calculated to predict brain age and quantify AD-like atrophy. Results This study included 416 EDIC participants with a median (range) age of 60 (44-74) years (87 of 416 [21%] were older than 65 years) and a median (range) diabetes duration of 37 (30-51) years. EDIC participants had consistently higher brain age values compared with controls without diabetes, indicative of approximately 6 additional years of brain aging (EDIC participants: β, 6.16; SE, 0.71; control participants: β, 1.04; SE, 0.04; P < .001). In contrast, AD regional atrophy was comparable between the 2 groups. Regions with atrophy in EDIC participants vs controls were observed mainly in the bilateral thalamus and putamen. Greater brain age was associated with lower psychomotor and mental efficiency among EDIC participants (β, -0.04; SE, 0.01; P < .001), but not among controls. Conclusions and Relevance The findings of this study suggest an increase in brain aging among individuals with T1D without any early signs of AD-related neurodegeneration. These increases were associated with reduced cognitive performance, but overall, the abnormal patterns seen in this sample were modest, even after a mean of 38 years with T1D.
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Affiliation(s)
- Mohamad Habes
- Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Alan M. Jacobson
- NYU Long Island School of Medicine, NYU Langone Hospital-Long Island, Mineola, New York
| | | | - Tanweer Rashid
- Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | - Haochang Shou
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia
| | - Yuhan Cui
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | - Geert J. Biessels
- Department of Neurology, UMCU Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ionut Bebu
- George Washington University, Biostatistics Center, Rockville, Maryland
| | - Rose A. Gubitosi-Klug
- Case Western Reserve University School of Medicine, Rainbow Babies and Children's Hospital, Cleveland, Ohio
| | - R. Nick Bryan
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ilya M. Nasrallah
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
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Fan Y, Lau ES, Wu H, Yang A, Chow E, Kong AP, Ma RC, Chan JC, Luk AO. Incident cardiovascular-kidney disease, diabetic ketoacidosis, hypoglycaemia and mortality in adult-onset type 1 diabetes: a population-based retrospective cohort study in Hong Kong. THE LANCET REGIONAL HEALTH - WESTERN PACIFIC 2023. [DOI: 10.1016/j.lanwpc.2023.100730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
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26
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Hill C, Duffy S, Coulter T, Maxwell AP, McKnight AJ. Harnessing Genomic Analysis to Explore the Role of Telomeres in the Pathogenesis and Progression of Diabetic Kidney Disease. Genes (Basel) 2023; 14:609. [PMID: 36980881 PMCID: PMC10048490 DOI: 10.3390/genes14030609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/20/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023] Open
Abstract
The prevalence of diabetes is increasing globally, and this trend is predicted to continue for future decades. Research is needed to uncover new ways to manage diabetes and its co-morbidities. A significant secondary complication of diabetes is kidney disease, which can ultimately result in the need for renal replacement therapy, via dialysis or transplantation. Diabetic kidney disease presents a substantial burden to patients, their families and global healthcare services. This review highlights studies that have harnessed genomic, epigenomic and functional prediction tools to uncover novel genes and pathways associated with DKD that are useful for the identification of therapeutic targets or novel biomarkers for risk stratification. Telomere length regulation is a specific pathway gaining attention recently because of its association with DKD. Researchers are employing both observational and genetics-based studies to identify telomere-related genes associated with kidney function decline in diabetes. Studies have also uncovered novel functions for telomere-related genes beyond the immediate regulation of telomere length, such as transcriptional regulation and inflammation. This review summarises studies that have revealed the potential to harness therapeutics that modulate telomere length, or the associated epigenetic modifications, for the treatment of DKD, to potentially slow renal function decline and reduce the global burden of this disease.
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Affiliation(s)
- Claire Hill
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK
| | - Seamus Duffy
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK
| | - Tiernan Coulter
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK
| | - Alexander Peter Maxwell
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK
- Regional Nephrology Unit, Belfast City Hospital, Belfast BT9 7AB, UK
| | - Amy Jayne McKnight
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK
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27
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Bebu I, Braffett BH, de Boer IH, Aiello LP, Bantle JP, Lorenzi GM, Herman WH, Gubitosi-Klug RA, Perkins BA, Lachin JM, Molitch ME. Relationships Between the Cumulative Incidences of Long-term Complications in Type 1 Diabetes: The DCCT/EDIC Study. Diabetes Care 2023; 46:361-368. [PMID: 36520643 PMCID: PMC9887612 DOI: 10.2337/dc22-1744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/15/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To describe the relationships between the cumulative incidences of long-term complications in individuals with type 1 diabetes (T1D) and assess whether observed associations are independent of age, duration of diabetes, and glycemic levels. METHODS Proliferative diabetic retinopathy (PDR), clinically significant macular edema (CSME), reduced estimated glomerular filtration rate (eGFR), amputations, cardiovascular disease (CVD), and mortality were assessed in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study over ∼30 years. RESEARCH DESIGN AND RESULTS The cumulative incidence of complications ranged from 3% (amputations) to 37% (CSME). There were large differences in the cumulative incidence of PDR between participants with versus without prior CSME (66% vs. 15%), reduced eGFR (59% vs. 29%), and amputation (68% vs. 32%); reduced eGFR with or without prior PDR (25% vs. 9%), amputation (48% vs. 13%), and CVD (30% vs. 11%); CVD with or without prior reduced eGFR (37% vs. 14%) and amputation (50% vs. 16%); and mortality with or without prior reduced eGFR (22% vs. 9%), amputation (35% vs. 8%), and CVD (25% vs. 8%). Adjusted for age, duration of T1D, and mean updated HbA1c, the complications and associations with higher risk included PDR with CSME (hazard ratio [HR] 1.88; 95% CI 1.42, 2.50), reduced eGFR (HR 1.41; 95% CI 1.01, 1.97), and CVD (HR 1.43; 95% CI 1.06, 1.92); CSME with higher risk of PDR (HR 3.94; 95% CI 3.18 4.89), reduced eGFR (HR 1.49; 95% CI 1.10, 2.01), and CVD (HR 1.35; 95% CI 1.03, 1.78); reduced eGFR with higher risk of CVD (HR 2.09; 95% CI 1.44, 3.03), and death (HR 3.40; 95% CI 2.35, 4.92); amputation(s) with death (HR 2.97; 95% CI 1.70, 2.90); and CVD with reduced eGFR (HR 1.59; 95% CI 1.08, 2.34) and death (HR 1.95; 95% CI 1.32, 2.90). CONCLUSIONS Long-term micro- and macrovascular complications and mortality are highly correlated. Age, diabetes duration, and glycemic levels do not completely explain these associations.
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Affiliation(s)
- Ionut Bebu
- Biostatistics Center, The George Washington University, Rockville, MD
| | | | - Ian H. de Boer
- Division of Nephrology, University of Washington, Seattle, WA
| | - Lloyd P. Aiello
- Department of Ophthalmology, Joslin Diabetes Center, Boston, MA
| | - John P. Bantle
- Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Gayle M. Lorenzi
- Department of Medicine, University of California San Diego, La Jolla, CA
| | | | | | - Bruce A. Perkins
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Canada
| | - John M. Lachin
- Biostatistics Center, The George Washington University, Rockville, MD
| | - Mark E. Molitch
- Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University, Chicago, IL
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Mohammed MM, Alnajim EK, Hussein MAA, Hadi NR. RISK FACTORS FOR DIABETIC NEPHROPATHY IN DIABETES MELLITUS TYPE 1. WIADOMOSCI LEKARSKIE (WARSAW, POLAND : 1960) 2023; 76:145-154. [PMID: 36883503 DOI: 10.36740/wlek202301120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
OBJECTIVE The aim: To find the risk factors of microalbuminuria and estimated Glomerular Filtration Rate (eGFR) in patients with type 1 diabetes mellitus. PATIENTS AND METHODS Materials and methods: One hundred ten patients of type 1 diabetes mellitus in this cross-sectional study at diabetic and endocrinology center in Al-Najaf during the period from September 2021 to March 2022. All patients were asked about sociodemographic characteristics (age, gender, smoking, duration of DM type1, family history of DM type1), measured (body mass index BMI, blood pressure) and laboratory investigations done to all patients (G.U.E, s. creatinine, lipid profile, HBA1C, calculated estimated Glomerular Filtration Rate (eGFR) and Spot Urine Albumin-Creatinine Ratio (ACR). RESULTS Results: Out of 110 patients, 62 male and 48 female, the mean age was (22±12). The patients with microalbuminuria (ACR ≥ 30 mg/g) show statistically significant with increase HBA1C, duration of DM type 1, total cholesterol (T.C), low density lipoprotein (LDL), triglycerides (TG) and family history of DM type 1, while there were not statistically significant with age, gender, smoking, BMI, eGFR, high density lipoprotein (HDL) and hypertension. Patients with eGFR<90mL/min/1.73m2 show statistically significant with increase HBA1C, duration of DM type1, LDL, TG, T.C, while significantly decrease in HDL and there were not statistically significant with age, gender, smoking, family history of DM type 1, BMI and hypertension. CONCLUSION Conclusions: The degree of glycemic control, duration of type1 (DM) and dyslipidemia were associated with increased microalbuminuria and reduced eGFR (nephropathy). Family history of DM type1 was risk factor for microalbuminuria.
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Affiliation(s)
| | | | | | - Najah R Hadi
- FACULTY OF MEDICINE, UNIVERSITY OF KUFA, NAJAF, IRAQ
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Darenskaya M, Chugunova E, Kolesnikov S, Semenova N, Michalevich I, Nikitina O, Lesnaya A, Kolesnikova L. Receiver Operator Characteristic (ROC) Analysis of Lipids, Proteins, DNA Oxidative Damage, and Antioxidant Defense in Plasma and Erythrocytes of Young Reproductive-Age Men with Early Stages of Type 1 Diabetes Mellitus (T1DM) Nephropathy in the Irkutsk Region, Russia. Metabolites 2022; 12:1282. [PMID: 36557320 PMCID: PMC9785540 DOI: 10.3390/metabo12121282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Oxidative stress plays a leading role in the pathogenesis of diabetic nephropathy. However, many aspects of oxidative stress reactions in the initial stages of this disease are not fully understood. The men cohort is of particular interest because of the severe effects of diabetes on their urogenital system. The aim of this study is to assess the intensity of lipids, proteins, DNA oxidative damage, blood antioxidant defense enzymatic, and activity of non-enzymatic components in men with type 1 diabetes mellitus (T1DM) in the early stages of diabetic nephropathy using receiver operator characteristic (ROC) analysis. This study included eighty-nine reproductive-age men in the initial stages of diabetic nephropathy (DN) and thirty-nine age- and sex-matched individuals not suffering from glycemic disorders. The DN patients were divided into two subgroups: stage 1 patients (urinary albumin < 30 mg/day and albumin/creatinine ratio < 3 mg/mmol (n = 45)) and stage 2 patients (urinary albumin 30−300 mg/day and albumin/creatinine ratio 3−30 mg/mmol (n = 44)). Levels of oxidative damage products (conjugated dienes (CDs), thiobarbituric acid reactants (TBARs), methylglyoxal (MGO), and 8-hydroxy-2’-deoxyguanosine (8-OHdG)) and antioxidants (glutathione peroxidase (GPx), glutathione S-transferases π (GSTp), glutathione reductase (GR), copper and zinc-containing superoxide dismutase 1 (SOD-1), total antioxidant status (TAS), α-tocopherol, retinol, reduced glutathione (GSH), and oxidative glutathione (GSSG)) were estimated in plasma and erythrocytes. Oxidative damage to cellular structures (higher values of median CDs (1.68 µmol/L; p = 0.003), MGO (3.38 mg/L; p < 0.001) in the stage 1 group and CDs (2.28 µmol/L; p < 0.0001), MGO (3.52 mg/L; p < 0.001), 8-OHdG (19.44 ng/mL; p = 0.010) in the stage 2 group) and changes in the antioxidant defense system (lower values of TAS (1.14 units; p = 0.011), α-tocopherol (12.17 µmol/L; p = 0.009), GPx (1099 units; p = 0.0003) and elevated levels of retinol (1.35 µmol/L; p < 0.001) in the group with stage 1; lower values of α-tocopherol (12.65 µmol/L; p = 0.033), GPx (1029.7 units; p = 0.0001) and increased levels of GR (292.75 units; p < 0.001), GSH (2.54 mmol/L; p = 0.010), GSSG (2.31 mmol/L; p < 0.0001), and retinol (0.81 µmol/L; p = 0.005) in the stage 2 group) were identified. The ROC analysis established that the following indicators have the highest diagnostic significance for stage 1 diabetic nephropathy: CDs (AUC 0.755; p < 0.0001), TBARs (AUC 0.748; p = 0.0001), MGO (AUC 0.720; p = 0.0033), retinol (AUC 0.932; p < 0.0001), GPx (AUC 0.741; p = 0.0004), α-tocopherol (AUC 0.683; p = 0.0071), and TAS (AUC 0.686; p = 0.0052) and the following for stage 2 diabetic nephropathy: CDs (AUC 0.714; p = 0.001), TBARs (AUC 0.708; p = 0.001), 8-OHdG (AUC 0.658; p = 0.0232), GSSG (AUC 0.714; p = 0.001), and GSH (AUC 0.667; p = 0.0108). We conclude that changes in indicators of damage to lipids, proteins, DNA, and the insufficiency of antioxidant defense factors already manifest in the first stage of diabetic nephropathy in men with T1DM. The ROC established which parameters have the greatest diagnostic significance for stages 1 and 2 of diabetic nephropathy, which may be utilized as additional criteria for defining men with T1DM as being in the risk group for the development of initial manifestations of the disease and thus allow for substantiating appropriate approaches to optimize preventive measures.
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Affiliation(s)
- Marina Darenskaya
- Department of Personalized and Preventive Medicine, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
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30
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Perkins BA, Bebu I, de Boer IH, Molitch M, Zinman B, Bantle J, Lorenzi GM, Nathan DM, Lachin JM. Optimal Frequency of Urinary Albumin Screening in Type 1 Diabetes. Diabetes Care 2022; 45:2943-2949. [PMID: 36321737 PMCID: PMC9763027 DOI: 10.2337/dc22-1420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/22/2022] [Indexed: 12/04/2022]
Abstract
OBJECTIVE Kidney disease screening recommendations include annual urine testing for albuminuria after 5 years' duration of type 1 diabetes. We aimed to determine a simple, risk factor-based screening schedule that optimizes early detection and testing frequency. RESEARCH DESIGN AND METHODS Urinary albumin excretion measurements from 1,343 participants in the Diabetes Control and Complications Trial and its long-term follow-up were used to create piecewise-exponential incidence models assuming 6-month constant hazards. Likelihood of the onset of moderately or severely elevated albuminuria (confirmed albumin excretion rate AER ≥30 or ≥300 mg/24 h, respectively) and its risk factors were used to identify individualized screening schedules. Time with undetected albuminuria and number of tests were compared with annual screening. RESULTS The 3-year cumulative incidence of elevated albuminuria following normoalbuminuria at any time during the study was 3.2%, which was strongly associated with higher glycated hemoglobin (HbA1c) and AER. Personalized screening in 2 years for those with current AER ≤10 mg/24 h and HbA1c ≤8% (low risk [0.6% three-year cumulative incidence]), in 6 months for those with AER 21-30 mg/24 h or HbA1c ≥9% (high risk [8.9% three-year cumulative incidence]), and in 1 year for all others (average risk [2.4% three-year cumulative incidence]) was associated with 34.9% reduction in time with undetected albuminuria and 20.4% reduction in testing frequency as compared with annual screening. Stratification by categories of HbA1c or AER alone was associated with reductions of lesser magnitude. CONCLUSIONS A personalized alternative to annual screening in type 1 diabetes can substantially reduce both the time with undetected kidney disease and the frequency of urine testing. ARTICLE HIGHLIGHTS Kidney disease screening recommendations include annual urine testing for albuminuria after 5 years' duration of type 1 diabetes. We investigated simple screening schedules that optimize early detection and testing frequency. Personalized screening in 2 years for those with current AER ≤10 mg/24 h and HbA1c ≤8%, in 6 months for those with AER 21-30 mg/24 h or HbA1c ≥9%, and in 1 year for all others yielded 34.9% reduction in time with undetected albuminuria and 20.4% fewer evaluations compared with annual screening. A personalized alternative to annual screening in type 1 diabetes can substantially reduce both the time with undetected kidney disease and the frequency of urine testing.
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Affiliation(s)
- Bruce A. Perkins
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada
| | - Ionut Bebu
- The Biostatistics Center, The George Washington University, Rockville, MD
| | - Ian H. de Boer
- Division of Nephrology, University of Washington, Seattle, WA
| | - Mark Molitch
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Bernard Zinman
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada
| | - John Bantle
- Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Gayle M. Lorenzi
- Department of Medicine, University of California, San Diego, San Diego, CA
| | - David M. Nathan
- Diabetes Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - John M. Lachin
- The Biostatistics Center, The George Washington University, Rockville, MD
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Arnqvist HJ, Westerlund MC, Fredrikson M, Ludvigsson J, Nordwall M. Impact of HbA1c Followed 32 Years From Diagnosis of Type 1 Diabetes on Development of Severe Retinopathy and Nephropathy: The VISS Study. Diabetes Care 2022; 45:2675-2682. [PMID: 36094113 DOI: 10.2337/dc22-0239] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 07/30/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To evaluate HbA1c followed from diagnosis, as a predictor of severe microvascular complications (i.e., proliferative diabetic retinopathy [PDR] and nephropathy [macroalbuminuria]). RESEARCH DESIGN AND METHODS In a population-based observational study, 447 patients diagnosed with type 1 diabetes before 35 years of age from 1983 to 1987 in southeast Sweden were followed from diagnosis until 2019. Long-term weighted mean HbA1c (wHbA1c) was calculated by integrating the area under all HbA1c values. Complications were analyzed in relation to wHbA1c categorized into five levels. RESULTS After 32 years, 9% had no retinopathy, 64% non-PDR, and 27% PDR, and 83% had no microalbuminuria, 9% microalbuminuria, and 8% macroalbuminuria. Patients with near-normal wHbA1c did not develop PDR or macroalbuminuria. The lowest wHbA1c values associated with development of PDR and nephropathy (macroalbuminuria) were 7.3% (56 mmol/mol) and 8.1% (65 mmol/mol), respectively. The prevalence of PDR and macroalbuminuria increased with increasing wHbA1c, being 74% and 44% in the highest category, wHbA1c >9.5% (>80 mmol/mol). In comparison with the follow-up done after 20-24 years' duration, the prevalence of PDR had increased from 14 to 27% and macroalbuminuria from 4 to 8%, and both appeared at lower wHbA1c values. CONCLUSIONS wHbA1c followed from diagnosis is a very strong biomarker for PDR and nephropathy, the prevalence of both still increasing 32 years after diagnosis. To avoid PDR and macroalbuminuria in patients with type 1 diabetes, an HbA1c <7.0% (53 mmol/mol) and as normal as possible should be recommended when achievable without severe hypoglycemia and with good quality of life.
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Affiliation(s)
- Hans J Arnqvist
- Department of Endocrinology in Linköping and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Malin C Westerlund
- Department of Ophthalmology in Linköping and Motala and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Mats Fredrikson
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Johnny Ludvigsson
- Crown Princess Victoria's Child and Youth Hospital, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Maria Nordwall
- Department of Paediatrics in Norrköping and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
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32
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Halminen J, Sattar N, Rawshani A, Eliasson B, Eeg-Olofsson K, Bhatt DL, Rawshani A. Range of Risk Factor Levels, Risk Control, and Temporal Trends for Nephropathy and End-stage Kidney Disease in Patients With Type 1 and Type 2 Diabetes. Diabetes Care 2022; 45:2326-2335. [PMID: 35984439 DOI: 10.2337/dc22-0926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/09/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To investigate trends, optimal levels for cardiometabolic risk factors, and multifactorial risk control in diabetic nephropathy and end-stage kidney disease (ESKD) in patients with diabetes and matched control subjects. RESEARCH DESIGN AND METHODS This study included 701,622 patients with diabetes from the Swedish National Diabetes Register and 2,738,137 control subjects. Trends were analyzed with standardized incidence rates. Cox regression was used to assess excess risk, optimal risk factor levels, and risk according to the number of risk factors, in diabetes. RESULTS ESKD incidence among patients with and without diabetes initially declined until 2007 and increased thereafter, whereas diabetic nephropathy decreased throughout follow-up. In patients with diabetes, baseline values for glycated hemoglobin, systolic blood pressure (SBP), triglycerides, and BMI were associated with outcomes. Hazard ratio (HR) for ESKD for patients with type 2 diabetes who had all included risk factors at target was 1.60 (95% CI 1.49-1.71) compared with control subjects and for patients with type 1 diabetes 6.10 (95% CI 4.69-7.93). Risk for outcomes increased in a stepwise fashion for each risk factor not at target. Excess risk for ESKD in type 2 diabetes showed a HR of 2.32 (95% CI 2.30-2.35) and in type 1 diabetes 10.92 (95% CI 10.15-11.75), compared with control. CONCLUSIONS Incidence of diabetic nephropathy has declined substantially, whereas ESKD incidence has increased. Traditional and modifiable risk factors below target levels were associated with lower risks for outcomes, particularly notable for the causal risk factors of SBP and HbA1c, with potential implications for care.
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Affiliation(s)
- Janita Halminen
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, Glasgow, U.K
| | - Araz Rawshani
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Wallenberg Laboratory for Cardiovascular and Metabolic Research, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Björn Eliasson
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Katarina Eeg-Olofsson
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Deepak L Bhatt
- Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston, MA
| | - Aidin Rawshani
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Wallenberg Laboratory for Cardiovascular and Metabolic Research, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
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Nomogram-Based Chronic Kidney Disease Prediction Model for Type 1 Diabetes Mellitus Patients Using Routine Pathological Data. J Pers Med 2022; 12:jpm12091507. [PMID: 36143293 PMCID: PMC9501949 DOI: 10.3390/jpm12091507] [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: 08/18/2022] [Revised: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
Type 1 diabetes mellitus (T1DM) patients are a significant threat to chronic kidney disease (CKD) development during their life. However, there is always a high chance of delay in CKD detection because CKD can be asymptomatic, and T1DM patients bypass traditional CKD tests during their routine checkups. This study aims to develop and validate a prediction model and nomogram of CKD in T1DM patients using readily available routine checkup data for early CKD detection. This research utilized 1375 T1DM patients’ sixteen years of longitudinal data from multi-center Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials conducted at 28 sites in the USA and Canada and considered 17 routinely available features. Three feature ranking algorithms, extreme gradient boosting (XGB), random forest (RF), and extremely randomized trees classifier (ERT), were applied to create three feature ranking lists, and logistic regression analyses were performed to develop CKD prediction models using these ranked feature lists to identify the best performing top-ranked features combination. Finally, the most significant features were selected to develop a multivariate logistic regression-based CKD prediction model for T1DM patients. This model was evaluated using sensitivity, specificity, accuracy, precision, and F1 score on train and test data. A nomogram of the final model was further generated for easy application in clinical practices. Hypertension, duration of diabetes, drinking habit, triglycerides, ACE inhibitors, low-density lipoprotein (LDL) cholesterol, age, and smoking habit were the top-8 features ranked by the XGB model and identified as the most important features for predicting CKD in T1DM patients. These eight features were selected to develop the final prediction model using multivariate logistic regression, which showed 90.04% and 88.59% accuracy in internal and test data validation. The proposed model showed excellent performance and can be used for CKD identification in T1DM patients during routine checkups.
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Wang CH, Lu WL, Chiang SL, Tsai TH, Liu SC, Hsieh CH, Su PH, Huang CY, Tsai FJ, Lin YJ, Huang YN. T Cells Mediate Kidney Tubular Injury via Impaired PDHA1 and Autophagy in Type 1 Diabetes. J Clin Endocrinol Metab 2022; 107:2556-2570. [PMID: 35731579 DOI: 10.1210/clinem/dgac378] [Citation(s) in RCA: 2] [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: 10/17/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Nephropathy is a severe complication of type 1 diabetes (T1DM). However, the interaction between the PDHA1-regulated mechanism and CD4+ T cells in the early stage of kidney tubular injury remains unknown. OBJECTIVE To evaluate the role of PDHA1 in the regulation of tubular cells and CD4+ T cells and further to study its interaction in tubular cell injury in T1DM. METHODS Plasma and total RNA were collected from T cells of T1DM patients (n = 35) and healthy donors (n = 33) and evaluated for neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1, PDHA1, and biomarkers of CD4+ T cells including T helper 1 cells (Th1) and regulatory T cells (Treg) markers. HK-2 cells cocultured with CD4+ T cells from T1DM patients or healthy donors (HDs) to evaluate the interaction with CD4+ T cells. RESULTS Increased PDHA1 gene expression levels in CD4+ T cells were positively associated with the plasma level of NGAL in T1DM patients and HDs. Our data demonstrated that the Th1/Treg subsets skewed Th1 in T1DM. Knockdown of PDHA1 in kidney tubular cells decreased ATP/ROS production, NAD/NADH ratio, mitochondrial respiration, and cell apoptosis. Furthermore, PDHA1 depletion induced impaired autophagic flux. Coculture of tubular cells and T1DM T cells showed impaired CPT1A, upregulated FASN, and induced kidney injury. CONCLUSION Our findings indicate that Th1 cells induced tubular cell injury through dysregulated metabolic reprogramming and autophagy, thereby indicating a new therapeutic approach for kidney tubular injury in T1DM.
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Affiliation(s)
- Chung-Hsing Wang
- Division of Genetics and Metabolism, Children's Hospital of China Medical University, Taichung 40402, Taiwan
- School of Medicine, China Medical University, Taichung 40402, Taiwan
| | - Wen-Li Lu
- Division of Genetics and Metabolism, Children's Hospital of China Medical University, Taichung 40402, Taiwan
| | - Shang-Lun Chiang
- Department of Medical Laboratory Science, College of Medical Science and Technology, I-Shou University, Kaohsiung 82445, Taiwan
| | - Tsung-Hsun Tsai
- Division of Urology, Department of Surgery, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung 42743, Taiwan
| | - Su-Ching Liu
- Department of Medical Research, Children's Hospital of China Medical University, Taichung 40402, Taiwan
| | - Chia-Hung Hsieh
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402
- Department of Medical Research, China Medical University Hospital, Taichung 40402, Taiwan
| | - Pen-Hua Su
- Department of Pediatrics, Chung Shan Medical University Hospital, Taichung 40242, Taiwan
- School of Medicine, Chung Shan Medical University; Taichung 40242, Taiwan
| | - Chih-Yang Huang
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402
- Department of Medical Research, China Medical University Hospital, Taichung 40402, Taiwan
- Cardiovascular and Mitochondrial Related Disease Research Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, Taiwan
- Center of General Education, Buddhist Tzu Chi Medical Foundation, Tzu Chi University of Science and Technology, Hualien 97002, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung 41354, Taiwan
| | - Fuu-Jen Tsai
- Genetic Center, Department of Medical Research, China Medical University Hospital, Taichung 40402, Taiwan
| | - Yu-Jung Lin
- Cardiovascular and Mitochondrial Related Disease Research Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, Taiwan
| | - Yu-Nan Huang
- Division of Genetics and Metabolism, Children's Hospital of China Medical University, Taichung 40402, Taiwan
- Department of Life Sciences, National Chung Hsing University, Taichung 40227, Taiwan
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35
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Jacobson AM, Braffett BH, Erus G, Ryan CM, Biessels GJ, Luchsinger JA, Bebu I, Gubitosi-Klug RA, Desiderio L, Lorenzi GM, Trapani VR, Lachin JM, Bryan RN, Habes M, Nasrallah IM. Brain Structure Among Middle-aged and Older Adults With Long-standing Type 1 Diabetes in the DCCT/EDIC Study. Diabetes Care 2022; 45:1779-1787. [PMID: 35699949 PMCID: PMC9346989 DOI: 10.2337/dc21-2438] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 04/17/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Individuals with type 1 diabetes mellitus (T1DM) are living to ages when neuropathological changes are increasingly evident. We hypothesized that middle-aged and older adults with long-standing T1DM will show abnormal brain structure in comparison with control subjects without diabetes. RESEARCH DESIGN AND METHODS MRI was used to compare brain structure among 416 T1DM participants in the Epidemiology of Diabetes Interventions and Complications (EDIC) study with that of 99 demographically similar control subjects without diabetes at 26 U.S. and Canadian sites. Assessments included total brain (TBV) (primary outcome), gray matter (GMV), white matter (WMV), ventricle, and white matter hyperintensity (WMH) volumes and total white matter mean fractional anisotropy (FA). Biomedical assessments included HbA1c and lipid levels, blood pressure, and cognitive assessments of memory and psychomotor and mental efficiency (PME). Among EDIC participants, HbA1c, severe hypoglycemia history, and vascular complications were measured longitudinally. RESULTS Mean age of EDIC participants and control subjects was 60 years. T1DM participants showed significantly smaller TBV (least squares mean ± SE 1,206 ± 1.7 vs. 1,229 ± 3.5 cm3, P < 0.0001), GMV, and WMV and greater ventricle and WMH volumes but no differences in total white matter mean FA versus control subjects. Structural MRI measures in T1DM were equivalent to those of control subjects who were 4-9 years older. Lower PME scores were associated with altered brain structure on all MRI measures in T1DM participants. CONCLUSIONS Middle-aged and older adults with T1DM showed brain volume loss and increased vascular injury in comparison with control subjects without diabetes, equivalent to 4-9 years of brain aging.
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Affiliation(s)
- Alan M. Jacobson
- NYU Long Island School of Medicine, NYU Langone Hospital–Long Island, Mineola
| | | | - Guray Erus
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | - Geert J. Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Netherlands
| | | | - Ionut Bebu
- The Biostatistics Center, The George Washington University, Rockville, MD
| | - Rose A. Gubitosi-Klug
- Case Western Reserve University School of Medicine, Rainbow Babies & Children’s Hospital, Cleveland, OH
| | - Lisa Desiderio
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | | | - John M. Lachin
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | - Mohamad Habes
- Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Ilya M. Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
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Rivetti G, Hursh BE, Miraglia Del Giudice E, Marzuillo P. Acute and chronic kidney complications in children with type 1 diabetes mellitus. Pediatr Nephrol 2022; 38:1449-1458. [PMID: 35896816 PMCID: PMC10060299 DOI: 10.1007/s00467-022-05689-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 07/05/2022] [Accepted: 07/05/2022] [Indexed: 01/09/2023]
Abstract
Children with type 1 diabetes mellitus (T1DM) have an increased risk of developing kidney involvement. Part of the risk establishes at the beginning of T1DM. In fact, up to 65% of children during T1DM onset may experience an acute kidney injury (AKI) which predisposes to the development of a later chronic kidney disease (CKD). The other part of the risk establishes during the following course of T1DM and could be related to a poor glycemic control and the subsequent development of diabetic kidney disease. In this review, we discuss the acute and chronic effects of T1DM on the kidneys, and the implications of these events on the long-term prognosis of kidney function.
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Affiliation(s)
- Giulio Rivetti
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania "Luigi Vanvitelli", Via Luigi De Crecchio 2, 80138, Naples, Italy
| | - Brenden E Hursh
- Department of Pediatrics, Division of Endocrinology, British Columbia Children's Hospital and University of British Columbia, 4480 Oak Street, Vancouver, BC, V6H 3V4, Canada
| | - Emanuele Miraglia Del Giudice
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania "Luigi Vanvitelli", Via Luigi De Crecchio 2, 80138, Naples, Italy
| | - Pierluigi Marzuillo
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania "Luigi Vanvitelli", Via Luigi De Crecchio 2, 80138, Naples, Italy.
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37
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Seyed Ahmadi S, Pivodic A, Svensson AM, Wedel H, Rathsman B, Nyström T, Ludvigsson J, Lind M. Risk factors for nephropathy in persons with type 1 diabetes: a population-based study. Acta Diabetol 2022; 59:761-772. [PMID: 35201418 PMCID: PMC9085666 DOI: 10.1007/s00592-022-01863-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 12/19/2021] [Indexed: 12/22/2022]
Abstract
AIMS Albuminuria is strongly associated with risk of renal dysfunction, cardiovascular disease and mortality. However, clinical guidelines diverge, and evidence is sparse on what risk factor levels regarding blood pressure, blood lipids and BMI are needed to prevent albuminuria in adolescents and young adults with type 1 diabetes. METHODS A total of 9347 children and adults with type 1 diabetes [mean age 15.3 years and mean diabetes duration 1.4 years at start of follow-up] from The Swedish National Diabetes Registry were followed from first registration until end of 2017. Levels for risk factors for a risk increase in nephropathy were evaluated, and the gradient of risk per 1 SD (standard deviation) was estimated to compare the impact of each risk factor. RESULTS During the follow-up period, 8610 (92.1%) remained normoalbuminuric, 737 (7.9%) individuals developed micro- or macroalbuminuria at any time period of whom 132 (17.9% of 737) individuals developed macroalbuminuria. Blood pressure ≥ 140/80 mmHg was associated with increased risk of albuminuria (p ≤ 0.0001), as were triglycerides ≥ 1.0 mmol/L (p = 0.039), total cholesterol ≥ 5.0 mmol/L (p = 0.0003), HDL < 1.0 mmol/L (p = 0.013), LDL 3.5- < 4.0 mmol/L (p = 0.020), and BMI ≥ 30 kg/m2 (p = 0.033). HbA1c was the strongest risk factor for any albuminuria estimated by the measure gradient of risk per 1 SD, followed by diastolic blood pressure, triglycerides, systolic blood pressure, cholesterol and LDL. In patients with HbA1c > 65 mmol/mol (> 8.1%), blood pressure > 140/70 mmHg was associated with increased risk of albuminuria. CONCLUSIONS Preventing renal complications in adolescents and young adults with type 1 diabetes need avoidance at relatively high levels of blood pressure, blood lipids and BMI, whereas very tight control is not associated with further risk reduction. For patients with long-term poor glycaemic control, stricter blood pressure control is advocated.
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Affiliation(s)
- Shilan Seyed Ahmadi
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
- Department of Internal Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
- Department of Medicine, Uddevalla Hospital, 45180, Uddevalla, Sweden.
| | - Aldina Pivodic
- Statistiska Konsultgruppen, Gothenburg, Sweden
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Hans Wedel
- Department of Health Metrics, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Björn Rathsman
- Department of Clinical Science and Education, Sachs' Children and Youth Hospital, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Thomas Nyström
- Department of Clinical Science and Education, Internal Medicine, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Johnny Ludvigsson
- Department of Biomedical and Clinical Sciences, Crown Princess Victoria Children's Hospital, and Division of Paediatrics, Linköping University, Linköping, Sweden
| | - Marcus Lind
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Internal Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
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Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:9690940. [PMID: 35510061 PMCID: PMC9061035 DOI: 10.1155/2022/9690940] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/14/2022] [Accepted: 03/18/2022] [Indexed: 02/06/2023]
Abstract
Background Diabetic sensorimotor polyneuropathy (DSPN) is a major form of complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is very common and well-established in the field of research, its application in DSPN diagnosis using nerve conduction studies (NCS), is very limited in the existing literature. Method In this study, the NCS data were collected from the Diabetes Control and Complications Trial (DCCT) and its follow-up Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials. The NCS variables are median motor velocity (m/sec), median motor amplitude (mV), median motor F-wave (msec), median sensory velocity (m/sec), median sensory amplitude (μV), Peroneal Motor Velocity (m/sec), peroneal motor amplitude (mv), peroneal motor F-wave (msec), sural sensory velocity (m/sec), and sural sensory amplitude (μV). Three different feature ranking techniques were used to analyze the performance of eight different conventional classifiers. Results The ensemble classifier outperformed other classifiers for the NCS data ranked when all the NCS features were used and provided an accuracy of 93.40%, sensitivity of 91.77%, and specificity of 98.44%. The random forest model exhibited the second-best performance using all the ten features with an accuracy of 93.26%, sensitivity of 91.95%, and specificity of 98.95%. Both ensemble and random forest showed the kappa value 0.82, which indicates that the models are in good agreement with the data and the variables used and are accurate to identify DSPN using these ML models. Conclusion This study suggests that the ensemble classifier using all the ten NCS variables can predict the DSPN severity which can enhance the management of DSPN patients.
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Nakazawa S, Fukai K, Furuya Y, Kojimahara N, Hoshi K, Toyota A, Tatemichi M. Occupations associated with diabetes complications: A nationwide-multicenter hospital-based case-control study. Diabetes Res Clin Pract 2022; 186:109809. [PMID: 35247525 DOI: 10.1016/j.diabres.2022.109809] [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: 07/21/2021] [Revised: 01/25/2022] [Accepted: 02/28/2022] [Indexed: 11/03/2022]
Abstract
AIM Investigating the risks of diabetes complications among inpatients with diabetes associated with longest-held and current occupations. METHOD Using a Japanese nationwide, multicenter, hospital inpatient dataset (2005-2015), a matched case-control study with 39,550 inpatients with diabetes was conducted. We considered both the longest-held and current occupations of the study subjects. RESULT Diabetes complications such as retinopathy, nephropathy, neuropathy, and peripheral vascular complications occur more often in managers, sales workers, service workers, transportation workers, construction and mining workers and carrying, cleaning and packing workers. Among these occupations, particularly the service workers indicated consistently significant increased risks (OR = 1.36 (1.23-1.51)) in developing all the considered subtypes of diabetes complications, and the performed sensitivity analysis confirmed this conclusion. Moreover, among service workers, cooks, waiters, building service staff and other service workers were identified as having the highest risks in developing diabetes complications (ORs = 1.30 (1.12-1.51), 1.63 (1.36-1.95), 1.79 (1.21-2.67), and 2.05 (1.30-3.22), respectively). CONCLUSIONS Our study's potential translational impact should lead to subsequent investigations on the causes connected to certain occupations of various diabetes complications and particularly to more carefully dealing with patients with diabetes who work in the identified occupational areas and their health risks.
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Affiliation(s)
- Shoko Nakazawa
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan143 Shimokasuya, Isehara-shi, Kanagawa 259-1193, Japan
| | - Kota Fukai
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan143 Shimokasuya, Isehara-shi, Kanagawa 259-1193, Japan.
| | - Yuko Furuya
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan143 Shimokasuya, Isehara-shi, Kanagawa 259-1193, Japan
| | - Noriko Kojimahara
- Department of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan4-27-2, Kita-ando, Aoi-ku, Shizuoka-shi 420-0881, Japan
| | - Keika Hoshi
- Center for Public Health Informatics, National Institute of Public Health, Wako, Japan2-3-6 Minami, Wako-shi, Saitama 351-0197, Japan; Department of Hygiene, School of Medicine, Kitasato University, Sagamihara, Japan1-15-1, Kitazato, Minami-ku, Sagamihara-shi, Kanagawa 252-0374, Japan
| | - Akihiro Toyota
- Chugoku Rosai Hospital Research Center for the Promotion of Health and Employment Support, Japan Organization of Occupational Health and Safety, Hiroshima, Japan1-5-1 Hirotagaya, Kure-shi, Hiroshima 737-0193, Japan
| | - Masayuki Tatemichi
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan143 Shimokasuya, Isehara-shi, Kanagawa 259-1193, Japan
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40
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Steigmann L, Miller R, Trapani VR, Giannobile WV, Braffett BH, Pop-Busui R, Lorenzi G, Herman WH, Sarma AV. Type 1 diabetes and oral health: Findings from the Epidemiology of Diabetes Interventions and Complications (EDIC) study. J Diabetes Complications 2022; 36:108120. [PMID: 35000860 PMCID: PMC9241440 DOI: 10.1016/j.jdiacomp.2021.108120] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/01/2021] [Accepted: 12/21/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To describe long-term oral health outcomes and examine associations between sociodemographic factors, clinical characteristics, and markers of diabetes control on tooth loss in participants with type 1 diabetes enrolled in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study. RESEARCH DESIGN AND METHODS Oral health outcomes related to tooth loss were reported at annual visits during EDIC years 22-26 (2015-2019). Generalized estimating equation models were used to assess the association of individual risk factors and tooth loss, over repeated time points. RESULTS A total of 165 (17%) participants with type 1 diabetes reported 221 oral health outcomes related to tooth loss over a five-year period. After controlling for age and current tobacco use, the presence of diabetic peripheral neuropathy was significantly associated with an increased odds of tooth loss (OR = 1.88, 95% CI 1.24, 2.87) while higher mean HDL/LDL cholesterol ratio was significantly associated with a decreased odds of tooth loss (OR = 0.87, 95% CI = 0.79, 0.97). CONCLUSIONS These findings suggest that diabetes-related complications, either resulting from or independent of poor glycemia, may be directly associated with oral health conditions, and support the need for individuals with type 1 diabetes and providers to implement lifestyle and medical interventions to reduce oral health risks.
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Affiliation(s)
- Larissa Steigmann
- University of Michigan, School of Dentistry, Department of Periodontics and Oral Medicine, Ann Arbor, MI, United States
| | - Ryan Miller
- University of Maryland, School of Medicine, Division of Pediatric Endocrinology, Baltimore, MD, United States
| | - Victoria R Trapani
- George Washington University, Biostatistics Center, Rockville, MD, United States
| | - William V Giannobile
- Harvard University, School of Dental Medicine, Department of Oral Medicine, Infection, and Immunity, Boston, MA, United States
| | - Barbara H Braffett
- George Washington University, Biostatistics Center, Rockville, MD, United States
| | - Rodica Pop-Busui
- University of Michigan, School of Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, Ann Arbor, MI, United States
| | - Gayle Lorenzi
- University of California, San Diego, School of Medicine, Department of Medicine, Division of Metabolism, Endocrinology and Diabetes, La Jolla, CA, United States
| | - William H Herman
- University of Michigan, School of Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, Ann Arbor, MI, United States; University of Michigan, School of Public Health, Department of Epidemiology, Ann Arbor, MI, United States
| | - Aruna V Sarma
- University of Michigan, School of Public Health, Department of Epidemiology, Ann Arbor, MI, United States; University of Michigan, School of Medicine, Department of Urology, Ann Arbor, MI, United States.
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Miller RG, Orchard TJ, Costacou T. Joint 30-year HbA1c and lipid trajectories and mortality in type 1 diabetes. Diabetes Res Clin Pract 2022; 185:109787. [PMID: 35183647 PMCID: PMC9018613 DOI: 10.1016/j.diabres.2022.109787] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/28/2022] [Accepted: 02/15/2022] [Indexed: 11/16/2022]
Abstract
AIMS Higher HbA1c has been associated with dyslipidemia in type 1 diabetes, but it is unknown whether there is heterogeneity in this association. Thus we assessed the longitudinal association between HbA1c and lipids over 30 years in a type 1 diabetes cohort and examined whether variation in such longitudinal patterns was associated with total and cause-specific mortality. METHODS Data were from the Pittsburgh Epidemiology of Diabetes Complications study (n = 581 with ≥2 visits, 51% male, baseline mean age 27, diabetes duration 19 years). Longitudinal associations between HbA1c and lipids were assessed in mixed models. Group-based multi-trajectory models identified simultaneous trajectories of HbA1c and lipids. RESULTS Longitudinal HbA1c was associated with Non-HDLc (p < 0.0001) and triglycerides (p < 0.0001), but not HDLc (men: p = 0.72, women: p = 0.76). There was heterogeneity in the HbA1c-Non-HDLc association only, with five HbA1c-Non-HDLc groups identified. One group (20%) had an unexpected combination of high HbA1c but normal Non-HDLc and had only moderately increased cardiovascular mortality (rate ratio [RR] = 2.80, 95% CI 1.31-6.00) and kidney disease mortality (RR = 2.30, 95% CI 0.97-5.50) compared to Low HbA1c-Normal Non-HDLc. CONCLUSIONS These results suggest there is a subgroup with type 1 diabetes who, despite poor glycemic control, has a relatively good prognosis, perhaps related to good Non-HDLc.
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Affiliation(s)
- Rachel G Miller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, United States.
| | - Trevor J Orchard
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, United States
| | - Tina Costacou
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, United States
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Liao PY, Lo HY, Liu IC, Lo LC, Hsiang CY, Ho TY. A gastro-resistant peptide from Momordica charantia improves diabetic nephropathy in db/ db mice via its novel reno-protective and anti-inflammatory activities. Food Funct 2022; 13:1822-1833. [PMID: 35083999 DOI: 10.1039/d1fo02788c] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Diabetic nephropathy (DN), a principal diabetic microvascular complication, is a chronic inflammatory immune disorder. A gastro-resistant peptide mcIRBP-9 from Momordica charantia has shown modulation of blood glucose homeostasis in diabetic mice. Here we conducted a long-term experiment to evaluate the therapeutic effects and mechanisms of mcIRBP-9 on DN. Type 2 diabetic mice (db/db mice) were orally given mcIRBP-9 once daily for 12 consecutive weeks. The amelioration of DN was evaluated by renal function indexes, vascular leakage, and pathological lesions. Possible effective mechanisms of mcIRBP-9 on DN were analyzed by gene expression profiles. A pharmacokinetic study in rats was carried out to evaluate the oral bioavailability of mcIRBP-9. Our data showed that mcIRBP-9 was able to enter systemic circulation in rats after oral administration. In comparison with mock, long-term administration of mcIRBP-9 significantly decreased blood glucose (572.25 ± 1.55 mg dL-1vs. 213.50 ± 163.39 mg dL-1) and HbA1c levels (13.58 ± 0.30% vs. 8.23 ± 2.98%) and improved the survival rate (85.7% vs. 100%) in diabetic mice. mcIRBP-9 ameliorated DN by reducing renal vascular leakage and histopathological changes. mcIRBP-9 altered the pathways involved in inflammatory and immune responses, and the nuclear factor-κB played a central role in the regulation of mcIRBP-9-affected pathways. Moreover, mcIRBP-9 improved the inflammatory characteristic of DN in diabetic and non-diabetic mice. In conclusion, mcIRBP-9 displayed a novel anti-inflammatory activity and exhibited a reno-protective ability in addition to controlling the blood glucose and HbA1c levels. These findings suggested the role of mcIRBP-9 from M. charantia as a nutraceutical agent for diabetes and subsequent DN.
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Affiliation(s)
- Pei-Yung Liao
- Graduate Institute of Chinese Medicine, China Medical University, Taichung 404333, Taiwan. .,Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500209, Taiwan
| | - Hsin-Yi Lo
- Graduate Institute of Chinese Medicine, China Medical University, Taichung 404333, Taiwan.
| | - I-Chen Liu
- Graduate Institute of Chinese Medicine, China Medical University, Taichung 404333, Taiwan.
| | - Lun-Chien Lo
- School of Chinese Medicine, China Medical University, Taichung 404333, Taiwan
| | - Chien-Yun Hsiang
- Department of Microbiology and Immunology, China Medical University, Taichung 404333, Taiwan.
| | - Tin-Yun Ho
- Graduate Institute of Chinese Medicine, China Medical University, Taichung 404333, Taiwan. .,Department of Health and Nutrition Biotechnology, Asia University, Taichung 413305, Taiwan
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Yu G, Zhang M, Gao L, Zhou Y, Qiao L, Yin J, Wang Y, Zhou J, Ye H. Far-red light-activated human islet-like designer cells enable sustained fine-tuned secretion of insulin for glucose control. Mol Ther 2022; 30:341-354. [PMID: 34530162 PMCID: PMC8753431 DOI: 10.1016/j.ymthe.2021.09.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 08/02/2021] [Accepted: 09/07/2021] [Indexed: 01/07/2023] Open
Abstract
Diabetes affects almost half a billion people, and all individuals with type 1 diabetes (T1D) and a large portion of individuals with type 2 diabetes rely on self-administration of the peptide hormone insulin to achieve glucose control. However, this treatment modality has cumbersome storage and equipment requirements and is susceptible to fatal user error. Here, reasoning that a cell-based therapy could be coupled to an external induction circuit for blood glucose control, as a proof of concept we developed far-red light (FRL)-activated human islet-like designer (FAID) cells and demonstrated how FAID cell implants achieved safe and sustained glucose control in diabetic model mice. Specifically, by introducing a FRL-triggered optogenetic device into human mesenchymal stem cells (hMSCs), which we encapsulated in poly-(l-lysine)-alginate and implanted subcutaneously under the dorsum of T1D model mice, we achieved FRL illumination-inducible secretion of insulin that yielded improvements in glucose tolerance and sustained blood glucose control over traditional insulin glargine treatment. Moreover, the FAID cell implants attenuated both oxidative stress and development of multiple diabetes-related complications in kidneys. This optogenetics-controlled "living cell factory" platform could be harnessed to develop multiple synthetic designer therapeutic cells to achieve long-term yet precisely controllable drug delivery.
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Affiliation(s)
- Guiling Yu
- Synthetic Biology and Biomedical Engineering Laboratory, Biomedical Synthetic Biology Research Center, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Mingliang Zhang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Ling Gao
- Department of Endocrinology, Renmin Hospital of Wuhan University, Wuhan 430061, China
| | - Yang Zhou
- Synthetic Biology and Biomedical Engineering Laboratory, Biomedical Synthetic Biology Research Center, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Longliang Qiao
- Synthetic Biology and Biomedical Engineering Laboratory, Biomedical Synthetic Biology Research Center, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Jianli Yin
- Synthetic Biology and Biomedical Engineering Laboratory, Biomedical Synthetic Biology Research Center, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Yiwen Wang
- Electron Microscopy Center, School of Life Sciences, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
| | - Haifeng Ye
- Synthetic Biology and Biomedical Engineering Laboratory, Biomedical Synthetic Biology Research Center, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Dongchuan Road 500, Shanghai 200241, China.
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Monnier VM, Sell DR, Gao X, Genuth SM, Lachin JM, Bebu I. Plasma advanced glycation end products and the subsequent risk of microvascular complications in type 1 diabetes in the DCCT/EDIC. BMJ Open Diabetes Res Care 2022; 10:10/1/e002667. [PMID: 35058313 PMCID: PMC8783825 DOI: 10.1136/bmjdrc-2021-002667] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/01/2021] [Indexed: 12/21/2022] Open
Abstract
INTRODUCTION To assess impact of glycemic control on plasma protein-bound advanced glycation end products (pAGEs) and their association with subsequent microvascular disease. RESEARCH DESIGN AND METHODS Eleven pAGEs were measured by liquid chromatography-mass spectrometry in banked plasma from 466 participants in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study at three time points (TPs): DCCT year 4 (TP1) and year 8 (TP2) and EDIC year 5/6 (TP3). Correlation coefficients assessed cross-sectional associations, and Cox proportional hazards models assessed associations with subsequent risk of microvascular complications through EDIC year 24. RESULTS Glucose-derived glycation products fructose-lysine (FL), glucosepane (GSPN) and carboxymethyl-lysine (CML) decreased with intensive glycemic control at both TP1 and TP2 (p<0.0001) but were similar at TP3, and correlated with hemoglobin A1c (HbA1c). At TP1, the markers were associated with the subsequent risk of several microvascular outcomes. These associations did not remain significant after adjustment for HbA1c, except methionine sulfoxide (MetSOX), which remained associated with diabetic kidney disease. In unadjusted models using all 3 TPs, glucose-derived pAGEs were associated with subsequent risk of proliferative diabetic retinopathy (PDR, p<0.003), clinically significant macular edema (CSME, p<0.015) and confirmed clinical neuropathy (CCN, p<0.018, except CML, not significant (NS)). Adjusted for age, sex, body mass index, diabetes duration and mean updated HbA1c, the associations remained significant for PDR (FL: p<0.002, GSPN: p≤0.02, CML: p<0.003, pentosidine: p<0.02), CMSE (CML: p<0.03), albuminuria (FL: p<0.02, CML: p<0.03) and CCN (FL: p<0.005, GSPN : p<0.003). CONCLUSIONS pAGEs at TP1 are not superior to HbA1c for risk prediction, but glucose-derived pAGEs at three TPs and MetSOX remain robustly associated with progression of microvascular complications in type 1 diabetes even after adjustment for HbA1c and other factors.
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Affiliation(s)
- Vincent M Monnier
- Pathology and Biochemistry, Case Western Reserve University Department of Pathology, Cleveland, Ohio, USA
| | - David R Sell
- Pathology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xiaoyu Gao
- The Biostatistics Center, The George Washington University, Rockville, Maryland, USA
| | - Saul M Genuth
- Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - John M Lachin
- The Biostatistics Center, The George Washington University, Rockville, Maryland, USA
| | - Ionut Bebu
- The Biostatistics Center, The George Washington University, Rockville, Maryland, USA
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Trutin I, Bajic Z, Turudic D, Cvitkovic-Roic A, Milosevic D. Cystatin C, renal resistance index, and kidney injury molecule-1 are potential early predictors of diabetic kidney disease in children with type 1 diabetes. Front Pediatr 2022; 10:962048. [PMID: 35967553 PMCID: PMC9372344 DOI: 10.3389/fped.2022.962048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 07/13/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Diabetic kidney disease (DKD) is the main cause of end-stage renal disease in patients with diabetes mellitus type I (DM-T1). Microalbuminuria and estimated glomerular filtration rate (eGFR) are standard predictors of DKD. However, these predictors have serious weaknesses. Our study aimed to analyze cystatin C, renal resistance index, and urinary kidney injury molecule-1 (KIM-1) as predictors of DKD. METHODS We conducted a cross-sectional study in 2019 on a consecutive sample of children and adolescents (10-18 years) diagnosed with DM-T1. The outcome was a risk for DKD estimated using standard predictors: age, urinary albumin, eGFR, serum creatinine, DM-T1 duration, HbA1c, blood pressure, and body mass index (BMI). We conducted the analysis using structural equation modeling. RESULTS We enrolled 75 children, 36 girls and 39 boys with the median interquartile range (IQR) age of 14 (11-16) years and a median (IQR) duration of DM-T1 of 6 (4-9) years. The three focal predictors (cystatin C, resistance index, and urinary KIM-1) were significantly associated with the estimated risk for DKD. Raw path coefficients for cystatin C were 3.16 [95% CI 0.78; 5.53; p = 0.009, false discovery rate (FDR) < 5%], for renal resistance index were -8.14 (95% CI -15.36; -0.92; p = 0.027; FDR < 5%), and for urinary KIM-1 were 0.47 (95% CI 0.02; 0.93; p = 0.040; FDR < 5%). CONCLUSION Cystatin C, renal resistance index, and KIM-1 may be associated with the risk for DKD in children and adolescents diagnosed with DM-T1. We encourage further prospective cohort studies to test our results.
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Affiliation(s)
- Ivana Trutin
- Department of Pediatrics, University Hospital Center Sestre Milosrdnice, Zagreb, Croatia
| | - Zarko Bajic
- Research Unit "Dr. Mirko Grmek", University Psychiatric Hospital "Sveti Ivan", Zagreb, Croatia
| | - Daniel Turudic
- Department of Pediatrics, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Andrea Cvitkovic-Roic
- Helena Clinic for Pediatric Medicine, Zagreb, Croatia.,Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
| | - Danko Milosevic
- School of Medicine, University of Zagreb, Zagreb, Croatia.,Department of Pediatrics, General Hospital Zabok and Hospital of Croatian Veterans, Bracak, Croatia
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Wu M, Shu Y, Wang L, Song L, Chen S, Liu Y, Bi J, Li D, Yang Y, Hu Y, Wang Y, Wu S, Tian Y. Metabolic syndrome severity score and the progression of CKD. Eur J Clin Invest 2022; 52:e13646. [PMID: 34197633 DOI: 10.1111/eci.13646] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 06/28/2021] [Accepted: 06/30/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Metabolic syndrome severity, expressed by the continuous metabolic syndrome risk score (MetS score), has been demonstrated to be able to predict future health conditions. However, little is known about the association between MetS score and renal function. METHODS A total of 22,719 participants with normal renal function abstracted from the Kailuan Study were followed from 2006 to 2016. The new onset of chronic kidney disease (CKD) was defined as eGFR <60 ml/min per 1.73 m2 and/or proteinuria >300 mg/dl. Progressive decline in renal function was defined as an annual change rate of eGFR below the 10th percentile of the whole population. RESULTS In the multivariate-adjusted model, we found that the risk of progressive decline in renal function increased consistently with the MetS score, with an odds ratio of 1.49 (95% CI, 1.28, 1.73) for those subjects>75th percentile compared with those <25th percentile. Additionally, a high MetS score was found to be associated with an increased risk of CKD, with a hazard ratio of 1.53 (95% CI, 1.33, 1.78) for subjects >75th percentile compared with those <25th percentile. CONCLUSIONS Our findings suggested that the MetS score was associated with an increased risk of a progressive decline in renal function and was also a strong and independent risk factor for the development of CKD. These findings provide evidence of the potential clinical utility of the MetS score for assessing metabolic syndrome severity to detect the risk of decreased renal function and CKD.
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Affiliation(s)
- Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanling Shu
- Department of Laboratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Lulin Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan City, China
| | - Yunyun Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianing Bi
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dankang Li
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingping Yang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan City, China
| | - Yaohua Tian
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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47
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Liao PY, Lo HY, Liu IC, Lo LC, Hsiang CY, Ho TY. The novel anti-inflammatory activity of mcIRBP from Momordica charantia is associated with the improvement of diabetic nephropathy. Food Funct 2022; 13:1268-1279. [DOI: 10.1039/d1fo03620c] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Diabetic nephropathy is an inflammatory immune disorder accompanying diabetes.
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Affiliation(s)
- Pei-Yung Liao
- Graduate Institute of Chinese Medicine, China Medical University, Taichung 40402, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan
| | - Hsin-Yi Lo
- Graduate Institute of Chinese Medicine, China Medical University, Taichung 40402, Taiwan
| | - I-Chen Liu
- Graduate Institute of Chinese Medicine, China Medical University, Taichung 40402, Taiwan
| | - Lun-Chien Lo
- School of Chinese Medicine, China Medical University, Taichung 40402, Taiwan
| | - Chien-Yun Hsiang
- Department of Microbiology and Immunology, China Medical University, Taichung 40402, Taiwan
| | - Tin-Yun Ho
- Graduate Institute of Chinese Medicine, China Medical University, Taichung 40402, Taiwan
- Department of Health and Nutrition Biotechnology, Asia University, Taichung 41354, Taiwan
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48
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Paez-Mayorga J, Lukin I, Emerich D, de Vos P, Orive G, Grattoni A. Emerging strategies for beta cell transplantation to treat diabetes. Trends Pharmacol Sci 2021; 43:221-233. [PMID: 34887129 DOI: 10.1016/j.tips.2021.11.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/02/2021] [Accepted: 11/09/2021] [Indexed: 02/08/2023]
Abstract
Beta cell replacement has emerged as an attractive therapeutic alternative to traditional exogenous insulin administration for management of type 1 diabetes (T1D). Beta cells deliver insulin dynamically based on individual glycometabolic requirements, providing glycemic control while significantly reducing patient burden. Although transplantation into the portal circulation is clinically available, poor engraftment, low cell survival, and immune rejection have sparked investigation of alternative strategies for beta cell transplantation. In this review, we focus on current micro- and macroencapsulation technologies for beta cell transplantation and evaluate their advantages and challenges. Specifically, we comment on recent methods to ameliorate graft hypoxia including enhanced vascularization, reduction of pericapsular fibrotic overgrowth (PFO), and oxygen supplementation. We also discuss emerging beta cell-sourcing strategies to overcome donor shortage and provide insight into potential approaches to address outstanding challenges in the field.
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Affiliation(s)
- Jesus Paez-Mayorga
- Department of Nanomedicine, Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Izeia Lukin
- NanoBioCel Research Group, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain; Bioaraba, NanoBioCel Research Group, Vitoria-Gasteiz, Spain
| | | | - Paul de Vos
- Immunoendocrinology, Department of Pathology and Medical biology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Gorka Orive
- NanoBioCel Research Group, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain; Bioaraba, NanoBioCel Research Group, Vitoria-Gasteiz, Spain; University Institute for Regenerative Medicine and Oral Implantology - UIRMI (UPV/EHU-Fundación Eduardo Anitua), Vitoria-Gasteiz, Spain; Singapore Eye Research Institute, The Academia, 20 College Road, Discovery Tower, Singapore.
| | - Alessandro Grattoni
- Department of Nanomedicine, Houston Methodist Research Institute, Houston, TX 77030, USA; Department of Surgery, Houston Methodist Hospital, Houston, TX 77030, USA; Department of Radiation Oncology, Houston Methodist Hospital, Houston, TX 77030, USA.
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49
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Zhang M, Wang X, Wang R, Shu J, Zhi X, Gu C, Pu L, Cai C, Yang W, Lv L. Clinical study of autoantibodies in type 1 diabetes mellitus children with ketoacidosis or microalbuminuria. J Clin Lab Anal 2021; 36:e24164. [PMID: 34861060 PMCID: PMC8761425 DOI: 10.1002/jcla.24164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/20/2021] [Accepted: 11/23/2021] [Indexed: 11/27/2022] Open
Abstract
Aims The study aimed to investigate the value of autoantibodies in predicting the risk of ketoacidosis or microalbuminuria in children with type 1 diabetes mellitus. Methods Clinical data and laboratory indicators of 80 patients with type 1 diabetes admitted to the Department of Endocrinology in Tianjin Children's Hospital, from June 2017 to March 2019, were retrospectively analyzed. The patients were divided into two groups: diabetes without ketoacidosis group (n = 20) and diabetes with ketoacidosis group (n = 60). The differences in general data, laboratory test indexes, and autoantibodies between the two groups were analyzed. Finally, ROC curves and multivariate logistic regression analysis were used to explore the value of autoantibodies in patients with ketoacidosis or microalbuminuria. Results A total of 80 children with type 1 diabetes were assessed, including 35 boys and 45 girls, ranging in age from 10 months to 15 years. The concentration of GADA, IA2A, and ZnT8A was not statistically different between the two groups, but the positive rate of ZnT8A was statistically significant (p = 0.038) and had a diagnostic value for the occurrence of ketoacidosis (p = 0.025). ZnT8A‐positive patients had a higher titer of IA2A and a more frequent prevalence of GADA and IA2A than ZnT8A‐negative patients (p < 0.01). In multivariate logistic regression analyses, the presence of positive ZnT8A was associated with a higher risk of microalbuminuria independent of age, sex, and BMI (OR = 4.184 [95% CI 1.034~16.934], p = 0.045). Conclusions The positive ZnT8A had diagnostic value for ketoacidosis in children with type 1 diabetes and had the highest specificity among the three kinds of autoantibodies. Moreover, ZnT8A positivity was related to a higher titer of IA2A and more frequent occurrence of multiple diabetes‐related autoantibodies. Besides, the presence of positive ZnT8A was an independent risk factor of microalbuminuria in children with type 1 diabetes. Therefore, we can infer that positive ZnT8A may be related to ketoacidosis and microalbuminuria, accelerating the progression of T1DM.
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Affiliation(s)
- Mingying Zhang
- Department of Pediatric Endocrinology, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Xinhui Wang
- Graduate College of Tianjin Medical University, Tianjin, China
| | - Rui Wang
- Graduate College of Tianjin Medical University, Tianjin, China
| | - Jianbo Shu
- Institute of Pediatric (Tianjin Key Laboratory of Birth Defects for Prevention and Treatment), Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Xiufang Zhi
- Graduate College of Tianjin Medical University, Tianjin, China
| | - Chunyu Gu
- Graduate College of Tianjin Medical University, Tianjin, China
| | - Linjie Pu
- Graduate College of Tianjin Medical University, Tianjin, China
| | - Chunquan Cai
- Institute of Pediatric (Tianjin Key Laboratory of Birth Defects for Prevention and Treatment), Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China.,Department of Pediatric Neurosurgery, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Wei Yang
- Tianjin Medical Device Evaluation and Inspection Center, Tianjin, China
| | - Ling Lv
- Department of Pediatric Endocrinology, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
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50
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Chowdhury NH, Reaz MBI, Haque F, Ahmad S, Ali SHM, A Bakar AA, Bhuiyan MAS. Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients. Diagnostics (Basel) 2021; 11:diagnostics11122267. [PMID: 34943504 PMCID: PMC8700037 DOI: 10.3390/diagnostics11122267] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/12/2021] [Accepted: 12/01/2021] [Indexed: 12/18/2022] Open
Abstract
Chronic kidney disease (CKD) is one of the severe side effects of type 1 diabetes mellitus (T1DM). However, the detection and diagnosis of CKD are often delayed because of its asymptomatic nature. In addition, patients often tend to bypass the traditional urine protein (urinary albumin)-based CKD detection test. Even though disease detection using machine learning (ML) is a well-established field of study, it is rarely used to diagnose CKD in T1DM patients. This research aimed to employ and evaluate several ML algorithms to develop models to quickly predict CKD in patients with T1DM using easily available routine checkup data. This study analyzed 16 years of data of 1375 T1DM patients, obtained from the Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials directed by the National Institute of Diabetes, Digestive, and Kidney Diseases, USA. Three data imputation techniques (RF, KNN, and MICE) and the SMOTETomek resampling technique were used to preprocess the primary dataset. Ten ML algorithms including logistic regression (LR), k-nearest neighbor (KNN), Gaussian naïve Bayes (GNB), support vector machine (SVM), stochastic gradient descent (SGD), decision tree (DT), gradient boosting (GB), random forest (RF), extreme gradient boosting (XGB), and light gradient-boosted machine (LightGBM) were applied to developed prediction models. Each model included 19 demographic, medical history, behavioral, and biochemical features, and every feature’s effect was ranked using three feature ranking techniques (XGB, RF, and Extra Tree). Lastly, each model’s ROC, sensitivity (recall), specificity, accuracy, precision, and F-1 score were estimated to find the best-performing model. The RF classifier model exhibited the best performance with 0.96 (±0.01) accuracy, 0.98 (±0.01) sensitivity, and 0.93 (±0.02) specificity. LightGBM performed second best and was quite close to RF with 0.95 (±0.06) accuracy. In addition to these two models, KNN, SVM, DT, GB, and XGB models also achieved more than 90% accuracy.
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Affiliation(s)
- Nakib Hayat Chowdhury
- Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia; (N.H.C.); (M.B.I.R.); (F.H.); (S.H.M.A.); (A.A.A.B.)
- Department of Computer Science and Engineering, Bangladesh Army University of Science and Technology (BAUST), Saidpur Cantonment, Saidpur 5310, Bangladesh
| | - Mamun Bin Ibne Reaz
- Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia; (N.H.C.); (M.B.I.R.); (F.H.); (S.H.M.A.); (A.A.A.B.)
| | - Fahmida Haque
- Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia; (N.H.C.); (M.B.I.R.); (F.H.); (S.H.M.A.); (A.A.A.B.)
| | - Shamim Ahmad
- Department of Computer Science and Engineering, University of Rajshahi, Rajshahi 6205, Bangladesh;
| | - Sawal Hamid Md Ali
- Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia; (N.H.C.); (M.B.I.R.); (F.H.); (S.H.M.A.); (A.A.A.B.)
| | - Ahmad Ashrif A Bakar
- Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia; (N.H.C.); (M.B.I.R.); (F.H.); (S.H.M.A.); (A.A.A.B.)
| | - Mohammad Arif Sobhan Bhuiyan
- Department of Electrical and Electronics Engineering, Xiamen University Malaysia, Bandar Sunsuria, Sepang 43900, Selangor, Malaysia
- Correspondence:
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