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Qadir MMF, Elgamal RM, Song K, Kudtarkar P, Sakamuri SSVP, Katakam PV, El-Dahr S, Kolls JK, Gaulton KJ, Mauvais-Jarvis F. Single cell regulatory architecture of human pancreatic islets suggests sex differences in β cell function and the pathogenesis of type 2 diabetes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.11.589096. [PMID: 38645001 PMCID: PMC11030320 DOI: 10.1101/2024.04.11.589096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Biological sex affects the pathogenesis of type 2 and type 1 diabetes (T2D, T1D) including the development of β cell failure observed more often in males. The mechanisms that drive sex differences in β cell failure is unknown. Studying sex differences in islet regulation and function represent a unique avenue to understand the sex-specific heterogeneity in β cell failure in diabetes. Here, we examined sex and race differences in human pancreatic islets from up to 52 donors with and without T2D (including 37 donors from the Human Pancreas Analysis Program [HPAP] dataset) using an orthogonal series of experiments including single cell RNA-seq (scRNA-seq), single nucleus assay for transposase-accessible chromatin sequencing (snATAC-seq), dynamic hormone secretion, and bioenergetics. In cultured islets from nondiabetic (ND) donors, in the absence of the in vivo hormonal environment, sex differences in islet cell type gene accessibility and expression predominantly involved sex chromosomes. Of particular interest were sex differences in the X-linked KDM6A and Y-linked KDM5D chromatin remodelers in female and male islet cells respectively. Islets from T2D donors exhibited similar sex differences in differentially expressed genes (DEGs) from sex chromosomes. However, in contrast to islets from ND donors, islets from T2D donors exhibited major sex differences in DEGs from autosomes. Comparing β cells from T2D and ND donors revealed that females had more DEGs from autosomes compared to male β cells. Gene set enrichment analysis of female β cell DEGs showed a suppression of oxidative phosphorylation and electron transport chain pathways, while male β cell had suppressed insulin secretion pathways. Thus, although sex-specific differences in gene accessibility and expression of cultured ND human islets predominantly affect sex chromosome genes, major differences in autosomal gene expression between sexes appear during the transition to T2D and which highlight mitochondrial failure in female β cells.
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Ridout SA, Vellanki P, Nemenman I. A mathematical model for ketosis-prone diabetes suggests the existence of multiple pancreatic β-cell inactivation mechanisms. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.04.597343. [PMID: 38895272 PMCID: PMC11185683 DOI: 10.1101/2024.06.04.597343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Ketosis-prone diabetes mellitus (KPD) is a subtype of type 2 diabetes, which presents much like type 1 diabetes, with dramatic hyperglycemia and ketoacidosis. Although KPD patients are initially insulin-dependent, after a few months of insulin treatment, ∼ 70% undergo near-normoglycemia remission and can maintain blood glucose without insulin, as in early type 2 diabetes or prediabetes. Here, we propose that these phenomena can be explained by the existence of a fast, reversible glucotoxicity process, which may exist in all people but be more pronounced in those susceptible to KPD. We develop a simple mathematical model of the pathogenesis of KPD, which incorporates this assumption, and show that it reproduces the phenomenology of KPD, including variations in the ability for patients to achieve and sustain remission. These results suggest that a variation of our model may be able to quantitatively describe variations in the course of remission among individuals with KPD.
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Stone SI, Balasubramanyam A, Posey JE. Atypical Diabetes: What Have We Learned and What Does the Future Hold? Diabetes Care 2024; 47:770-781. [PMID: 38329838 PMCID: PMC11043229 DOI: 10.2337/dci23-0038] [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: 08/02/2023] [Accepted: 11/21/2023] [Indexed: 02/10/2024]
Abstract
As our understanding of the pathophysiology of diabetes evolves, we increasingly recognize that many patients may have a form of diabetes that does not neatly fit with a diagnosis of either type 1 or type 2 diabetes. The discovery and description of these forms of "atypical diabetes" have led to major contributions to our collective understanding of the basic biology that drives insulin secretion, insulin resistance, and islet autoimmunity. These discoveries now pave the way to a better classification of diabetes based on distinct endotypes. In this review, we highlight the key biological and clinical insights that can be gained from studying known forms of atypical diabetes. Additionally, we provide a framework for identification of patients with atypical diabetes based on their clinical, metabolic, and molecular features. Helpful clinical and genetic resources for evaluating patients suspected of having atypical diabetes are provided. Therefore, appreciating the various endotypes associated with atypical diabetes will enhance diagnostic accuracy and facilitate targeted treatment decisions.
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Affiliation(s)
- Stephen I. Stone
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | - Jennifer E. Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
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Tufarelli V, Puvača N, Glamočić D, Pugliese G, Colonna MA. The Most Important Metabolic Diseases in Dairy Cattle during the Transition Period. Animals (Basel) 2024; 14:816. [PMID: 38473200 DOI: 10.3390/ani14050816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 02/26/2024] [Accepted: 03/06/2024] [Indexed: 03/14/2024] Open
Abstract
This review paper provides an in-depth analysis of three critical metabolic diseases affecting dairy cattle such as subacute ruminal acidosis (SARA), ketosis, and hypocalcemia. SARA represents a disorder of ruminal fermentation that is characterized by extended periods of depressed ruminal pH below 5.5-5.6. In the long term, dairy herds experiencing SARA usually exhibit secondary signs of the disease, such as episodes of laminitis, weight loss and poor body condition despite adequate energy intake, and unexplained abscesses usually 3-6 months after an episode of SARA. Depressed milk-fat content is commonly used as a diagnostic tool for SARA. A normal milk-fat test in Holstein dairy cows is >4%, so a milk-fat test of <3% can indicate SARA. However, bulk tank testing of milk fat is inappropriate to diagnose SARA at the herd level, so when >4 cows out of 12 and <60 days in milk are suspected to have SARA it can be considered that the herd has a problem. The rapid or abrupt introduction of fresh cows to high-concentrate diets is the most common cause of SARA. Changes in ruminal bacterial populations when exposed to higher concentrate rations require at least about 3 weeks, and it is recommended that concentrate levels increase by no more than 400 g/day during this period to avoid SARA. Ketosis, a prevalent metabolic disorder in dairy cattle, is scrutinized with a focus on its etiological factors and the physiological changes leading to elevated ketone bodies. In total mix ration-fed herds, an increased risk of mastitis and reduced fertility are usually the first clinical signs of ketosis. All dairy cows in early lactation are at risk of ketosis, with most cases occurring in the first 2-4 weeks of lactation. Cows with a body condition score ≥3.75 on a 5-point scale at calving are at a greater risk of ketosis than those with lower body condition scores. The determination of serum or whole blood acetone, acetoacetate, beta-hydroxybutyrate (BHB) concentration, non-esterified fatty acids (NEFA), and liver biopsies is considered the best way to detect and monitor subclinical ketosis, while urine or milk cowside tests can also be used in on-farm monitoring programs. Concentrations >1.0 mmol/L or 1.4 mmol/L blood or serum BHB are considered diagnostic of subclinical ketosis. The standard threshold used for blood is 1.2 mmol/L, which corresponds to thresholds of 100 mcmol/L for milk and 15 mg/dL for urine. Oral administration of propylene glycol (250-400 g, every 24 h for 3-5 days) is the standard and most efficacious treatment, as well as additional therapy with bolus glucose treatment. Hypocalcemia is a disease of adult dairy cows in which acute hypocalcemia causes acute to peracute, afebrile, flaccid paralysis that occurs most commonly at or soon after parturition. Dairy cows are at considerable risk for hypocalcemia at the onset of lactation, when daily calcium excretion suddenly increases from about 10 g to 30 g per day. Cows with hypocalcemia have a more profound decrease in blood calcium concentration-typically below 5.5 mg/dL. The prevention of parturient paresis has been historically approached by feeding cows low-calcium diets during the dry period. Negative calcium balance triggers calcium mobilization before calving and better equips the cow to respond to the massive calcium needs at the onset of lactation. Calcium intake must be limited to <20 g per day for calcium restriction to be effective. The most practical and proven method for monitoring hypocalcemia is by feeding cows an acidogenic diet for ~3 weeks before calving. Throughout the review, emphasis is placed on the importance of early diagnosis and proactive management strategies to mitigate the impact of these metabolic diseases on dairy cattle health and productivity. The comprehensive nature of this paper aims to serve as a valuable resource for veterinarians, researchers, and dairy farmers seeking a deeper understanding of these prevalent metabolic disorders in dairy cattle.
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Affiliation(s)
- Vincenzo Tufarelli
- Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), Section of Veterinary Science and Animal Production, University of Bari Aldo Moro, 70010 Valenzano, Italy
| | - Nikola Puvača
- Laboratory for Food Quality and Toxicology, Department of Engineering Management in Biotechnology, Faculty of Economics and Engineering Management, University of Business Academy in Novi Sad, 21107 Novi Sad, Serbia
| | - Dragan Glamočić
- Department of Animal Science, Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, 21000 Novi Sad, Serbia
| | - Gianluca Pugliese
- Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), Section of Veterinary Science and Animal Production, University of Bari Aldo Moro, 70010 Valenzano, Italy
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Kubota-Mishra E, Huang X, Minard CG, Astudillo M, Refaey A, Montes G, Sisley S, Ram N, Winter WE, Naylor RN, Balasubramanyam A, Redondo MJ, Tosur M. High Prevalence of A-β+ Ketosis-Prone Diabetes in Children with Type 2 Diabetes and Diabetic Ketoacidosis at Diagnosis: Evidence from the Rare and Atypical Diabetes Network (RADIANT). Pediatr Diabetes 2024; 2024:5907924. [PMID: 38765897 PMCID: PMC11100136 DOI: 10.1155/2024/5907924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024] Open
Abstract
Background A-β+ ketosis-prone diabetes (KPD) in adults is characterized by presentation with diabetic ketoacidosis (DKA), negative islet autoantibodies, and preserved β-cell function in persons with a phenotype of obesity-associated type 2 diabetes (T2D). The prevalence of KPD has not been evaluated in children. We investigated children with DKA at "T2D" onset and determined the prevalence and characteristics of pediatric A-β+ KPD within this cohort. Methods We reviewed the records of 716 children with T2D at a large academic hospital and compared clinical characteristics of those with and without DKA at onset. In the latter group, we identified patients with A-β+ KPD using criteria of the Rare and Atypical Diabetes Network (RADIANT) and defined its prevalence and characteristics. Results Mean age at diagnosis was 13.7 ± 2.4 years: 63% female; 59% Hispanic, 29% African American, 9% non-Hispanic White, and 3% other. Fifty-six (7.8%) presented with DKA at diagnosis and lacked islet autoantibodies. Children presenting with DKA were older and had lower C-peptide and higher glucose concentrations than those without DKA. Twenty-five children with DKA (45%) met RADIANT A-β+ KPD criteria. They were predominantly male (64%), African American or Hispanic (96%), with substantial C-peptide (1.3 ± 0.7 ng/mL) at presentation with DKA and excellent long-term glycemic control (HbA1c 6.6% ± 1.9% at follow-up (median 1.3 years postdiagnosis)). Conclusions In children with a clinical phenotype of T2D and DKA at diagnosis, approximately half meet criteria for A-β+ KPD. They manifest the key characteristics of obesity, preserved β-cell function, male predominance, and potential to discontinue insulin therapy, similar to adults with A-β+ KPD.
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Affiliation(s)
- Elizabeth Kubota-Mishra
- Department of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
| | - Xiaofan Huang
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Charles G. Minard
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Marcela Astudillo
- Department of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
| | | | - Graciela Montes
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA
| | - Stephanie Sisley
- Department of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
- USDA/ARS Children’s Nutrition Research Center, Houston, TX, USA
| | - Nalini Ram
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA
| | - William E. Winter
- Department of Pathology, University of Florida, Gainesville, FL, USA
| | - Rochelle N. Naylor
- Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Departments of Pediatric and Medicine, University of Chicago, Chicago, IL, USA
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA
| | - Maria J. Redondo
- Department of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
| | - Mustafa Tosur
- Department of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX, USA
- USDA/ARS Children’s Nutrition Research Center, Houston, TX, USA
| | - RADIANT Study Group
- The RADIANT Data Coordinating Center, Health Informatics Institute, University of South Florida, Tampa, FL, USA
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Raubenheimer PJ, Skelton J, Peya B, Dave JA, Levitt NS. Phenotype and predictors of insulin independence in adults presenting with diabetic ketoacidosis: a prospective cohort study. Diabetologia 2024; 67:494-505. [PMID: 38240751 PMCID: PMC10844464 DOI: 10.1007/s00125-023-06067-3] [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: 08/24/2023] [Accepted: 11/06/2023] [Indexed: 02/06/2024]
Abstract
AIMS/HYPOTHESIS The aim of this work was to describe the phenotype of adults presenting with a first episode of diabetic ketoacidosis (DKA) in Cape Town, South Africa, and identify predictors of insulin independence at 12 and 60 months after presentation. METHODS A prospective, descriptive cohort study of all individuals, 18 years or older, presenting for the first time with DKA to four public-sector hospitals of the Groote Schuur Academic Health Complex was performed. Clinical, biochemical and laboratory data including GAD antibody and C-peptide status were collected at baseline. Insulin was systematically weaned and stopped in individuals who achieved normoglycaemia within the months after DKA. Individuals were followed for 12 months and then annually until 5 years after initial presentation with ketoacidosis. RESULTS Eighty-eight individuals newly diagnosed with diabetes when presenting with DKA were included and followed for 5 years. The mean ± SD age was 35±10 years and the median (IQR) BMI at diagnosis was 28.5 (23.3-33.4) kg/m2. Overall, 46% were insulin independent 12 months after diagnosis and 26% remained insulin independent 5 years after presentation. Forty-one participants (47%) tested negative for anti-GAD and anti-IA-2 antibodies and had C-peptide levels >0.3 nmol/l; in this group, 68% were insulin independent at 12 months and 37% at 5 years after diagnosis. The presence of acanthosis nigricans was strongly associated with insulin independence (OR 27.1 [95% CI 7.2, 102.2]; p<0.001); a positive antibody status was associated with a lower likelihood of insulin independence at 12 months (OR 0.10 [95% CI 0.03, 0.36]; p<0.001). On multivariable analysis only acanthosis (OR 11.5 [95% CI 2.5, 53.2]; p=0.004) was predictive of insulin independence 5 years after diagnosis. CONCLUSIONS/INTERPRETATION The predominant phenotype of adults presenting with a first episode of DKA in Cape Town, South Africa, was that of ketosis-prone type 2 diabetes. These individuals presented with obesity, acanthosis nigricans, negative antibodies and normal C-peptide and could potentially be weaned off insulin at follow-up. Classic type 1 diabetes (lower weight, antibody positivity, low or unrecordable C-peptide levels and long-term insulin dependence) was less common. The simple clinical sign of acanthosis nigricans is a strong predictor of insulin independence at 12 months and 5 years after initial presentation.
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Affiliation(s)
- Peter J Raubenheimer
- Division of Endocrinology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
| | - Joanna Skelton
- Division of Endocrinology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Bukiwe Peya
- Division of Endocrinology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Joel A Dave
- Division of Endocrinology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Naomi S Levitt
- Division of Endocrinology, Department of Medicine, University of Cape Town, Cape Town, South Africa
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Mauvais-Jarvis F. Sex differences in energy metabolism: natural selection, mechanisms and consequences. Nat Rev Nephrol 2024; 20:56-69. [PMID: 37923858 DOI: 10.1038/s41581-023-00781-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2023] [Indexed: 11/06/2023]
Abstract
Metabolic homeostasis operates differently in men and women. This sex asymmetry is the result of evolutionary adaptations that enable women to resist loss of energy stores and protein mass while remaining fertile in times of energy deficit. During starvation or prolonged exercise, women rely on oxidation of lipids, which are a more efficient energy source than carbohydrates, to preserve glucose for neuronal and placental function and spare proteins necessary for organ function. Carbohydrate reliance in men could be an evolutionary adaptation related to defence and hunting, as glucose, unlike lipids, can be used as a fuel for anaerobic high-exertion muscle activity. The larger subcutaneous adipose tissue depots in healthy women than in healthy men provide a mechanism for lipid storage. As female mitochondria have higher functional capacity and greater resistance to oxidative damage than male mitochondria, uniparental inheritance of female mitochondria may reduce the transmission of metabolic disorders. However, in women, starvation resistance and propensity to obesity have evolved in tandem, and the current prevalence of obesity is greater in women than in men. The combination of genetic sex, programming by developmental testosterone in males, and pubertal sex hormones defines sex-specific biological systems in adults that produce phenotypic sex differences in energy homeostasis, metabolic disease and drug responses.
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Affiliation(s)
- Franck Mauvais-Jarvis
- Section of Endocrinology and Metabolism, John W. Deming Department of Medicine, Tulane University School of Medicine and Tulane Center of Excellence in Sex-Based Biology & Medicine, New Orleans, LA, USA.
- Endocrine service, Southeast Louisiana Veterans Health Care System, New Orleans, LA, USA.
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Antar SA, Ashour NA, Sharaky M, Khattab M, Ashour NA, Zaid RT, Roh EJ, Elkamhawy A, Al-Karmalawy AA. Diabetes mellitus: Classification, mediators, and complications; A gate to identify potential targets for the development of new effective treatments. Biomed Pharmacother 2023; 168:115734. [PMID: 37857245 DOI: 10.1016/j.biopha.2023.115734] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/21/2023] Open
Abstract
Nowadays, diabetes mellitus has emerged as a significant global public health concern with a remarkable increase in its prevalence. This review article focuses on the definition of diabetes mellitus and its classification into different types, including type 1 diabetes (idiopathic and fulminant), type 2 diabetes, gestational diabetes, hybrid forms, slowly evolving immune-mediated diabetes, ketosis-prone type 2 diabetes, and other special types. Diagnostic criteria for diabetes mellitus are also discussed. The role of inflammation in both type 1 and type 2 diabetes is explored, along with the mediators and potential anti-inflammatory treatments. Furthermore, the involvement of various organs in diabetes mellitus is highlighted, such as the role of adipose tissue and obesity, gut microbiota, and pancreatic β-cells. The manifestation of pancreatic Langerhans β-cell islet inflammation, oxidative stress, and impaired insulin production and secretion are addressed. Additionally, the impact of diabetes mellitus on liver cirrhosis, acute kidney injury, immune system complications, and other diabetic complications like retinopathy and neuropathy is examined. Therefore, further research is required to enhance diagnosis, prevent chronic complications, and identify potential therapeutic targets for the management of diabetes mellitus and its associated dysfunctions.
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Affiliation(s)
- Samar A Antar
- Center for Vascular and Heart Research, Fralin Biomedical Research Institute, Virginia Tech, Roanoke, VA 24016, USA; Department of Pharmacology and Biochemistry, Faculty of Pharmacy, Horus University, New Damietta 34518, Egypt
| | - Nada A Ashour
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tanta University, Tanta 31527, Egypt
| | - Marwa Sharaky
- Cancer Biology Department, Pharmacology Unit, National Cancer Institute (NCI), Cairo University, Cairo, Egypt
| | - Muhammad Khattab
- Department of Chemistry of Natural and Microbial Products, Division of Pharmaceutical and Drug Industries, National Research Centre, Cairo, Egypt
| | - Naira A Ashour
- Department of Neurology, Faculty of Physical Therapy, Horus University, New Damietta 34518, Egypt
| | - Roaa T Zaid
- Pharmaceutical Chemistry Department, Faculty of Pharmacy, Ahram Canadian University, 6th of October City, Giza 12566, Egypt
| | - Eun Joo Roh
- Chemical and Biological Integrative Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology, University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Ahmed Elkamhawy
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang 10326, Republic of Korea; Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt.
| | - Ahmed A Al-Karmalawy
- Pharmaceutical Chemistry Department, Faculty of Pharmacy, Ahram Canadian University, 6th of October City, Giza 12566, Egypt; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Horus University-Egypt, New Damietta 34518, Egypt
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Misra S, Wagner R, Ozkan B, Schön M, Sevilla-Gonzalez M, Prystupa K, Wang CC, Kreienkamp RJ, Cromer SJ, Rooney MR, Duan D, Thuesen ACB, Wallace AS, Leong A, Deutsch AJ, Andersen MK, Billings LK, Eckel RH, Sheu WHH, Hansen T, Stefan N, Goodarzi MO, Ray D, Selvin E, Florez JC, Meigs JB, Udler MS. Precision subclassification of type 2 diabetes: a systematic review. COMMUNICATIONS MEDICINE 2023; 3:138. [PMID: 37798471 PMCID: PMC10556101 DOI: 10.1038/s43856-023-00360-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/15/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Heterogeneity in type 2 diabetes presentation and progression suggests that precision medicine interventions could improve clinical outcomes. We undertook a systematic review to determine whether strategies to subclassify type 2 diabetes were associated with high quality evidence, reproducible results and improved outcomes for patients. METHODS We searched PubMed and Embase for publications that used 'simple subclassification' approaches using simple categorisation of clinical characteristics, or 'complex subclassification' approaches which used machine learning or 'omics approaches in people with established type 2 diabetes. We excluded other diabetes subtypes and those predicting incident type 2 diabetes. We assessed quality, reproducibility and clinical relevance of extracted full-text articles and qualitatively synthesised a summary of subclassification approaches. RESULTS Here we show data from 51 studies that demonstrate many simple stratification approaches, but none have been replicated and many are not associated with meaningful clinical outcomes. Complex stratification was reviewed in 62 studies and produced reproducible subtypes of type 2 diabetes that are associated with outcomes. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into clinically meaningful subtypes. CONCLUSION Critical next steps toward clinical implementation are to test whether subtypes exist in more diverse ancestries and whether tailoring interventions to subtypes will improve outcomes.
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Affiliation(s)
- Shivani Misra
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK.
| | - Robert Wagner
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Bige Ozkan
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Magdalena Sevilla-Gonzalez
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Caroline C Wang
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Raymond J Kreienkamp
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Pediatrics, Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Sara J Cromer
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mary R Rooney
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anne Cathrine Baun Thuesen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Amelia S Wallace
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aaron Leong
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, 100 Cambridge St 16th Floor, Boston, MA, USA
| | - Aaron J Deutsch
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Liana K Billings
- Division of Endocrinology, Diabetes and Metabolism, NorthShore University Health System, Skokie, IL, USA
- Department of Medicine, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Robert H Eckel
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Wayne Huey-Herng Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institute, Miaoli County, Taiwan, ROC
- Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- University Hospital of Tübingen, Tübingen, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jose C Florez
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - James B Meigs
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, 100 Cambridge St 16th Floor, Boston, MA, USA
| | - Miriam S Udler
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
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10
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Osafehinti D, Mulukutla SN, Hampe CS, Gaba R, Ram N, Weedon MN, Oram RA, Balasubramanyam A. Type 1 Diabetes Genetic Risk Score Differentiates Subgroups of Ketosis-Prone Diabetes. Diabetes Care 2023; 46:1778-1782. [PMID: 37506364 PMCID: PMC10516251 DOI: 10.2337/dc23-0622] [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: 04/09/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVE To determine whether genetic risk for type 1 diabetes (T1D) differentiates the four Aβ subgroups of ketosis-prone diabetes (KPD), where A+ and A- define the presence or absence of islet autoantibodies and β+ and β- define the presence or absence of β-cell function. RESEARCH DESIGN AND METHODS We compared T1D genetic risk scores (GRS) of patients with KPD across subgroups, race/ethnicity, β-cell function, and glycemia. RESULTS Among 426 patients with KPD (54% Hispanic, 31% African American, 11% White), rank order of GRS was A+β- > A+β+ = A-β- > A-β+. GRS of A+β- KPD was lower than that of a T1D cohort, and GRS of A-β+ KPD was higher than that of a type 2 diabetes cohort. GRS was lowest among African American patients, with a similar distribution across KPD subgroups. CONCLUSIONS T1D genetic risk delineates etiologic differences among KPD subgroups. Patients with A+β- KPD have the highest and those with A-β+ KPD the lowest GRS.
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Affiliation(s)
- Deborah Osafehinti
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | | | | | - Ruchi Gaba
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | - Nalini Ram
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | - Michael N. Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, and The Academic Kidney Unit, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Richard A. Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, and The Academic Kidney Unit, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
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11
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Min R, Liao Y, Peng B. Development and validation of a novel nomogram for prediction of ketosis-prone type 2 diabetes. Front Endocrinol (Lausanne) 2023; 14:1235048. [PMID: 37829685 PMCID: PMC10565480 DOI: 10.3389/fendo.2023.1235048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/31/2023] [Indexed: 10/14/2023] Open
Abstract
Background Ketosis-prone type 2 diabetes (KPD), as a unique emerging clinical entity, often has no clear inducement or obvious clinical symptoms at the onset of the disease. Failure to determine ketosis in time may lead to more serious consequences and even death. Therefore, our study aimed to develop and validate a novel nomogram to predict KPD. Methods In this retrospective study, clinical data of a total of 398 newly diagnosed type 2 diabetes in our hospital who met our research standards with an average age of 48.75 ± 13.86 years years old from January 2019 to December 2022 were collected. According to the occurrence of ketosis, there were divided into T2DM groups(228 cases)with an average age of 52.19 ± 12.97 years, of whom 69.74% were male and KPD groups (170cases)with an average age of 44.13 ± 13.72 years, of whom males account for 80.59%. Univariate and multivariate logistic regression analysis was performed to identify the independent influencing factors of KPD and then a novel prediction nomogram model was established based on these independent predictors visually by using R4.3. Verification and evaluation of predictive model performance comprised receiver-operating characteristic (ROC) curve, corrected calibration curve, and clinical decision curve (DCA). Results 4 primary independent predict factors of KPD were identified by univariate and multivariate logistic regression analysis and entered into the nomogram including age, family history, HbA1c and FFA. The model incorporating these 4 predict factors displayed good discrimination to predict KPD with the area under the ROC curve (AUC) of 0.945. The corrected calibration curve of the nomogram showed good fitting ability with an average absolute error =0.006 < 0.05, indicating a good accuracy. The decision analysis curve (DCA) demonstrated that when the risk threshold was between 5% and 99%, the nomogram model was more practical and accurate. Conclusion In our novel prediction nomogram model, we found that age, family history, HbA1c and FFA were the independent predict factors of KPD. The proposed nomogram built by these 4 predictors was well developed and exhibited powerful predictive performance for KPD with high discrimination, good accuracy, and potential clinical applicability, which may be a useful tool for early screening and identification of high-risk population of KPD and therefore help clinicians in making customized treatment strategy.
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Affiliation(s)
- Rui Min
- Department of Geriatrics, Wuhan Fourth Hospital, Wuhan, Hubei, China
| | - Yiqin Liao
- Department of Thyroid and Breast Surgery, Xianning Central Hospital, Xianning, Hubei, China
| | - Bocheng Peng
- Department of Pain, Wuhan Fourth Hospital, Wuhan, Hubei, China
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12
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Zheng J, Shen S, Xu H, Zhao Y, Hu Y, Xing Y, Song Y, Wu X. Development and validation of a multivariable risk prediction model for identifying ketosis-prone type 2 diabetes. J Diabetes 2023; 15:753-764. [PMID: 37165751 PMCID: PMC10509513 DOI: 10.1111/1753-0407.13407] [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: 11/15/2022] [Revised: 04/14/2023] [Accepted: 04/25/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND To develop and validate a multivariable risk prediction model for ketosis-prone type 2 diabetes mellitus (T2DM) based on clinical characteristics. METHODS A total of 964 participants newly diagnosed with T2DM were enrolled in the modeling and validation cohort. Baseline clinical data were collected and analyzed. Multivariable logistic regression analysis was performed to select independent risk factors, develop the prediction model, and construct the nomogram. The model's reliability and validity were checked using the receiver operating characteristic curve and the calibration curve. RESULTS A high morbidity of ketosis-prone T2DM was observed (20.2%), who presented as lower age and fasting C-peptide, and higher free fatty acids, glycated hemoglobin A1c and urinary protein. Based on these five independent influence factors, we developed a risk prediction model for ketosis-prone T2DM and constructed the nomogram. Areas under the curve of the modeling and validation cohorts were 0.806 (95% confidence interval [CI]: 0.760-0.851) and 0.856 (95% CI: 0.803-0.908). The calibration curves that were both internally and externally checked indicated that the projected results were reasonably close to the actual values. CONCLUSIONS Our study provided an effective clinical risk prediction model for ketosis-prone T2DM, which could help for precise classification and management.
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Affiliation(s)
- Jia Zheng
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of EndocrinologyZhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College)HangzhouPeople's Republic of China
| | - Shiyi Shen
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of EndocrinologyZhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College)HangzhouPeople's Republic of China
| | - Hanwen Xu
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of EndocrinologyZhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College)HangzhouPeople's Republic of China
| | - Yu Zhao
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of EndocrinologyZhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College)HangzhouPeople's Republic of China
| | - Ye Hu
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of EndocrinologyZhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College)HangzhouPeople's Republic of China
| | - Yubo Xing
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of EndocrinologyZhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College)HangzhouPeople's Republic of China
| | - Yingxiang Song
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of EndocrinologyZhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College)HangzhouPeople's Republic of China
| | - Xiaohong Wu
- Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of EndocrinologyZhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College)HangzhouPeople's Republic of China
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13
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Cha J, Aguayo-Mazzucato C, Thompson PJ. Pancreatic β-cell senescence in diabetes: mechanisms, markers and therapies. Front Endocrinol (Lausanne) 2023; 14:1212716. [PMID: 37720527 PMCID: PMC10501801 DOI: 10.3389/fendo.2023.1212716] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 08/15/2023] [Indexed: 09/19/2023] Open
Abstract
Cellular senescence is a response to a wide variety of stressors, including DNA damage, oncogene activation and physiologic aging, and pathologically accelerated senescence contributes to human disease, including diabetes mellitus. Indeed, recent work in this field has demonstrated a role for pancreatic β-cell senescence in the pathogenesis of Type 1 Diabetes, Type 2 Diabetes and monogenic diabetes. Small molecule or genetic targeting of senescent β-cells has shown promise as a novel therapeutic approach for preventing and treating diabetes. Despite these advances, major questions remain around the molecular mechanisms driving senescence in the β-cell, identification of molecular markers that distinguish senescent from non-senescent β-cell subpopulations, and translation of proof-of-concept therapies into novel treatments for diabetes in humans. Here, we summarize the current state of the field of β-cell senescence, highlighting insights from mouse models as well as studies on human islets and β-cells. We identify markers that have been used to detect β-cell senescence to unify future research efforts in this field. We discuss emerging concepts of the natural history of senescence in β-cells, heterogeneity of senescent β-cells subpopulations, role of sex differences in senescent responses, and the consequences of senescence on integrated islet function and microenvironment. As a young and developing field, there remain many open research questions which need to be addressed to move senescence-targeted approaches towards clinical investigation.
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Affiliation(s)
- Jeeyeon Cha
- Division of Diabetes, Endocrinology and Metabolism, Vanderbilt University Medical Center, Nashville, TN, United States
| | | | - Peter J. Thompson
- Diabetes Research Envisioned and Accomplished in Manitoba Theme, Children’s Hospital Research Institute of Manitoba, Winnipeg, MB, Canada
- Department of Physiology & Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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14
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Jiang Y, Zhu J, Lai X. Development and Validation of a Risk Prediction Model for Ketosis-Prone Type 2 Diabetes Mellitus Among Patients Newly Diagnosed with Type 2 Diabetes Mellitus in China. Diabetes Metab Syndr Obes 2023; 16:2491-2502. [PMID: 37614378 PMCID: PMC10443636 DOI: 10.2147/dmso.s424267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/05/2023] [Indexed: 08/25/2023] Open
Abstract
Background We established a nomogram for ketosis-prone type 2 diabetes mellitus (KP-T2DM) in the Chinese adult population in order to identify high-risk groups early and intervene in the disease progression in a timely manner. Methods We reviewed the medical records of 924 adults with newly diagnosed T2DM from January 2018 to June 2021. All patients were randomly divided into the training and validation sets at a ratio of 7:3. The least absolute shrinkage and selection operator regression analysis method was used to screen the predictors of the training set, and the multivariable logistic regression analysis was used to establish the nomogram prediction model. We verified the prediction model using the receiver operating characteristic (ROC) curve, judged the model's goodness-of-fit using the Hosmer-Lemeshow goodness-of-fit test, and predicted the risk of ketosis using the decision curve analysis. Results A total of 21 variables were analyzed, and four predictors-hemoglobin A1C, 2-hour postprandial blood glucose, 2-hour postprandial C-peptide, and age-were established. The area under the ROC curve for the training and validation sets were 0.8172 and 0.8084, respectively. The Hosmer-Lemeshow test showed that the prediction model and validation set have a high degree of fit. The decision curve analysis curve showed that the nomogram had better clinical applicability when the threshold probability of the patients was 0.03-0.79. Conclusion The nomogram based on hemoglobin A1C, 2-hour postprandial blood glucose, 2-hour postprandial C-peptide, and age has good performance and can serve as a favorable tool for clinicians to predict KP-T2DM.
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Affiliation(s)
- Yanjuan Jiang
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Jianting Zhu
- Department of Intensive Care Unit, The Second Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Xiaoyang Lai
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
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15
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Misra S, Wagner R, Ozkan B, Schön M, Sevilla-Gonzalez M, Prystupa K, Wang CC, Kreienkamp RJ, Cromer SJ, Rooney MR, Duan D, Thuesen ACB, Wallace AS, Leong A, Deutsch AJ, Andersen MK, Billings LK, Eckel RH, Sheu WHH, Hansen T, Stefan N, Goodarzi MO, Ray D, Selvin E, Florez JC, Meigs JB, Udler MS. Systematic review of precision subclassification of type 2 diabetes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.19.23288577. [PMID: 37131632 PMCID: PMC10153304 DOI: 10.1101/2023.04.19.23288577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Heterogeneity in type 2 diabetes presentation, progression and treatment has the potential for precision medicine interventions that can enhance care and outcomes for affected individuals. We undertook a systematic review to ascertain whether strategies to subclassify type 2 diabetes are associated with improved clinical outcomes, show reproducibility and have high quality evidence. We reviewed publications that deployed 'simple subclassification' using clinical features, biomarkers, imaging or other routinely available parameters or 'complex subclassification' approaches that used machine learning and/or genomic data. We found that simple stratification approaches, for example, stratification based on age, body mass index or lipid profiles, had been widely used, but no strategy had been replicated and many lacked association with meaningful outcomes. Complex stratification using clustering of simple clinical data with and without genetic data did show reproducible subtypes of diabetes that had been associated with outcomes such as cardiovascular disease and/or mortality. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into meaningful groups. More studies are needed to test these subclassifications in more diverse ancestries and prove that they are amenable to interventions.
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16
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Kikani N, Balasubramanyam A. Remission in Ketosis-Prone Diabetes. Endocrinol Metab Clin North Am 2023; 52:165-174. [PMID: 36754492 DOI: 10.1016/j.ecl.2022.06.005] [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] [Indexed: 11/06/2022]
Abstract
Heterogeneous forms of Ketosis-prone diabetes (KPD) are characterized by patients who present with diabetic ketoacidosis (DKA) but lack the typical features and biomarkers of autoimmune T1D. The A-β+ subgroup of KPD provides unique insight into the concept of "remission" since these patients have substantial preservation of beta-cell function permitting the discontinuation of insulin therapy, despite initial presentation with DKA. Measurements of C-peptide levels are essential to predict remission and guide potential insulin withdrawal. Further studies into predictors of remission and relapse can help us guide patients with A-β+ KPD toward remission and develop targeted treatments for this form of atypical diabetes.
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Affiliation(s)
- Nupur Kikani
- Department of Endocrine Neoplasia and Hormonal Disorders, University of Texas MD Anderson Cancer Center, Unit 1461, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology, and Metabolism, Baylor College of Medicine, BCM 179A, One Baylor Plaza, Houston, TX 77030, USA.
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17
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Katte JC, McDonald TJ, Sobngwi E, Jones AG. The phenotype of type 1 diabetes in sub-Saharan Africa. Front Public Health 2023; 11:1014626. [PMID: 36778553 PMCID: PMC9912986 DOI: 10.3389/fpubh.2023.1014626] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 01/10/2023] [Indexed: 01/29/2023] Open
Abstract
The phenotype of type 1 diabetes in Africa, especially sub-Saharan Africa, is poorly understood. Most previously conducted studies have suggested that type 1 diabetes may have a different phenotype from the classical form of the disease described in western literature. Making an accurate diagnosis of type 1 diabetes in Africa is challenging, given the predominance of atypical diabetes forms and limited resources. The peak age of onset of type 1 diabetes in sub-Saharan Africa seems to occur after 18-20 years. Multiple studies have reported lower rates of islet autoantibodies ranging from 20 to 60% amongst people with type 1 diabetes in African populations, lower than that reported in other populations. Some studies have reported much higher levels of retained endogenous insulin secretion than in type 1 diabetes elsewhere, with lower rates of type 1 diabetes genetic susceptibility and HLA haplotypes. The HLA DR3 appears to be the most predominant HLA haplotype amongst people with type 1 diabetes in sub-Saharan Africa than the HLA DR4 haplotype. Some type 1 diabetes studies in sub-Saharan Africa have been limited by small sample sizes and diverse methods employed. Robust studies close to diabetes onset are sparse. Large prospective studies with well-standardized methodologies in people at or close to diabetes diagnosis in different population groups will be paramount to provide further insight into the phenotype of type 1 diabetes in sub-Saharan Africa.
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Affiliation(s)
- Jean Claude Katte
- Institute of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom,National Obesity Centre and Endocrinology and Metabolic Diseases Unit, Yaounde Central Hospital, Yaoundé, Cameroon,*Correspondence: Jean Claude Katte ✉
| | - Timothy J. McDonald
- Institute of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom,Academic Department of Clinical Biochemistry, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - Eugene Sobngwi
- National Obesity Centre and Endocrinology and Metabolic Diseases Unit, Yaounde Central Hospital, Yaoundé, Cameroon,Department of Internal Medicine and Specialities, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Angus G. Jones
- Institute of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom,Macleod Diabetes and Endocrine Centre, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
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18
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Brownrigg GP, Xia YH, Chu CMJ, Wang S, Chao C, Zhang JA, Skovsø S, Panzhinskiy E, Hu X, Johnson JD, Rideout EJ. Sex differences in islet stress responses support female β cell resilience. Mol Metab 2023; 69:101678. [PMID: 36690328 PMCID: PMC9971554 DOI: 10.1016/j.molmet.2023.101678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/07/2023] [Accepted: 01/17/2023] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVE Pancreatic β cells play a key role in maintaining glucose homeostasis; dysfunction of this critical cell type causes type 2 diabetes (T2D). Emerging evidence points to sex differences in β cells, but few studies have examined male-female differences in β cell stress responses and resilience across multiple contexts, including diabetes. Here, we address the need for high-quality information on sex differences in β cell and islet gene expression and function using both human and rodent samples. METHODS In humans, we compared β cell gene expression and insulin secretion in donors with T2D to non-diabetic donors in both males and females. In mice, we generated a well-powered islet RNAseq dataset from 20-week-old male and female siblings with similar insulin sensitivity. Our unbiased gene expression analysis pointed to a sex difference in the endoplasmic reticulum (ER) stress response. Based on this analysis, we hypothesized female islets would be more resilient to ER stress than male islets. To test this, we subjected islets isolated from age-matched male and female mice to thapsigargin treatment and monitored protein synthesis, cell death, and β cell insulin production and secretion. Transcriptomic and proteomic analyses were used to characterize sex differences in islet responses to ER stress. RESULTS Our single-cell analysis of human β cells revealed sex-specific changes to gene expression and function in T2D, correlating with more robust insulin secretion in human islets isolated from female donors with T2D compared to male donors with T2D. In mice, RNA sequencing revealed differential enrichment of unfolded protein response pathway-associated genes, where female islets showed higher expression of genes linked with protein synthesis, folding, and processing. This differential expression was physiologically significant, as islets isolated from female mice were more resilient to ER stress induction with thapsigargin. Specifically, female islets showed a greater ability to maintain glucose-stimulated insulin production and secretion during ER stress compared with males. CONCLUSIONS Our data demonstrate sex differences in β cell gene expression in both humans and mice, and that female β cells show a greater ability to maintain glucose-stimulated insulin secretion across multiple physiological and pathological contexts.
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Affiliation(s)
- George P Brownrigg
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Yi Han Xia
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Chieh Min Jamie Chu
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Su Wang
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Charlotte Chao
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Jiashuo Aaron Zhang
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Søs Skovsø
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Evgeniy Panzhinskiy
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Xiaoke Hu
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - James D Johnson
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada.
| | - Elizabeth J Rideout
- Department of Cellular and Physiological Sciences, Life Sciences Institute, The University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada.
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19
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Boike S, Mir M, Rauf I, Jama AB, Sunesara S, Mushtaq H, Khedr A, Nitesh J, Surani S, Khan SA. Ketosis-prone diabetes mellitus: A phenotype that hospitalists need to understand. World J Clin Cases 2022; 10:10867-10872. [PMID: 36338201 PMCID: PMC9631166 DOI: 10.12998/wjcc.v10.i30.10867] [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: 07/20/2022] [Revised: 08/23/2022] [Accepted: 09/09/2022] [Indexed: 02/05/2023] Open
Abstract
Diabetes has been classified mainly into types 1 and 2. Some type 2 diabetes patients, when developing ketosis, have been labeled as having atypical diabetes. Lately, syndromes of ketosis-prone diabetes, primarily in patients who we previously classified as type 2 diabetics, have emerged, and calls are being made to even reclassify diabetes. This mini-review will extensively deal with the historical, molecular, phenotypical, and clinical basis of why ketosis-prone diabetes is different than the traditional principles of type 1 and 2 diabetes and should be classified as such. Clinicians, especially those who are not diabetologists or endocrinologists, as well as hospitalists, intensivists, and primary care providers, will greatly benefit from this review.
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Affiliation(s)
- Sydney Boike
- Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Mikael Mir
- Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Ibtisam Rauf
- Medicine, St. George’s School of Medicine, Grenada FZ818, West Indies
| | - Abbas B Jama
- Critical Care Medicine, Mayo Clinic Health System, Mankato, MN 56001, United States
| | - Shaleen Sunesara
- Medicine, University of Southern California, Los Angeles, CA 90007, United States
| | - Hisham Mushtaq
- Medicine, St. Vincent’s Medical Center, Bridgeport, CT 06606, United States
| | - Anwar Khedr
- Medicine, BronxCare Health System, Bronx, NY 10457, United States
| | - Jain Nitesh
- Critical Care Medicine, Mayo Clinic Health System, Mankato, MN 56001, United States
| | - Salim Surani
- Medicine, Texas A&M University, Bryan, TX 77843, United States
- Anesthesiology, Mayo Clinic, Rochester, MN 55905, United States
| | - Syed A Khan
- Critical Care Medicine, Mayo Clinic Health System, Mankato, MN 56001, United States
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Makahleh L, Othman A, Vedantam V, Vedantam N. Ketosis-Prone Type 2 Diabetes Mellitus: An Unusual Presentation. Cureus 2022; 14:e30031. [DOI: 10.7759/cureus.30031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2022] [Indexed: 11/06/2022] Open
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21
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Uwizihiwe JP, Lygidakis C, Bia M, Dukundane D, Asiimwe-Kateera B, Nsanzimana S, Vögele C, Kallestrup P. Cultural adaptation and psychometric evaluation of the Kinyarwanda version of the diabetes-39 (D-39) questionnaire. Health Qual Life Outcomes 2022; 20:122. [PMID: 35974393 PMCID: PMC9382791 DOI: 10.1186/s12955-022-02034-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/27/2022] [Indexed: 11/10/2022] Open
Abstract
Background In recent years, more importance is being given to the assessment of quality of life (QoL) among diabetic patients as a measure of their health and the goal of all health interventions. Other studies have reported a high prevalence of diabetes-related effects on; however, there is a knowledge gap in the region of Sub-Saharan Africa, as is the case for Rwanda, where the prevalence of diabetes is expected to rise over the next decade. The aim of this study is to report on the translation and cultural adaptation of the Diabetes-39 (D-39) questionnaire into the Kinyarwanda and its psychometric properties among diabetic patients in Rwanda. Methods The D-39 questionnaire—a five-scale, disease-specific QoL questionnaire—was translated from English to Kinyarwanda, then back-translated to English. A consensus meeting discussed discrepancies and agreed on changes. Interviews were conducted with 26 participants before producing a final version. For the psychometric evaluation, the adapted version was administered to 309 patients with diabetes mellitus. Participants either came from a separate cluster-randomised controlled trial or were recruited ad hoc for this study. The evaluation included testing internal consistency, known group validity, and construct validity. Results Participants’ mean age was 51 ± 12.7 years with a predominance of women (64%) in the sample. All five scales of the questionnaire showed a good internal consistency, with composite reliability of above 0.7. The five-factor model of the questionnaire was fitted to the 39 items. Although the fit was not exact, there was a satisfactory approximate fit (CFI = 0.93, TLI = 0.92, RMSEA = 0.05). There was a good discriminant validity except for the “social burden” and “anxiety and worry” scales (inter-factor correlation = 0.80). Conclusions Diabetes-39 is a questionnaire developed in English that was adapted and translated into Kinyarwanda. The Kinyarwanda version of D-39 is a reliable and valid instrument to measure QoL among diabetic patients in Rwanda. The questionnaire can be helpful in research and clinical practice improving health outcomes for patients with diabetes in Rwanda and other Kinyarwanda-competent areas in the sub-region. However, certain cross-cultural differences should be considered. Supplementary Information The online version contains supplementary material available at 10.1186/s12955-022-02034-5.
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Affiliation(s)
- Jean Paul Uwizihiwe
- Centre for Global Health, Department of Public Health, Aarhus University, Bartholins Allé 2, 8000, Aarhus C, Denmark. .,College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
| | - Charilaos Lygidakis
- College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.,Department of Behavioural and Cognitive Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Michela Bia
- Luxembourg Institute of Socio-Economic Research (LISER), Esch-sur-Alzette, Luxembourg
| | | | - Brenda Asiimwe-Kateera
- College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.,AIDS Healthcare Foundation (AHF), Kigali, Rwanda
| | | | - Claus Vögele
- Department of Behavioural and Cognitive Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Per Kallestrup
- Centre for Global Health, Department of Public Health, Aarhus University, Bartholins Allé 2, 8000, Aarhus C, Denmark
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22
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A patient with ketosis-prone type 2 diabetes showing nearly normalized glucose tolerance after recovery from severe diabetic ketoacidosis. Diabetol Int 2022; 14:109-113. [PMID: 36636160 PMCID: PMC9829925 DOI: 10.1007/s13340-022-00599-6] [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: 04/20/2022] [Accepted: 07/20/2022] [Indexed: 01/16/2023]
Abstract
Unprovoked A-β+ ketosis-prone type 2 diabetes (KPD) is characterized by the sudden onset of diabetic ketosis/ketoacidosis (DK/DKA) without precipitating factors, negative anti-islet autoantibodies ("A- "), and preservation of β-cell function ("β+ ") after recovery from DKA using insulin therapy. However, there have been few reports on glucose tolerance after recovery. We present a case of KPD with nearly normalized glucose tolerance after recovery from severe DKA. A 41-year-old obese woman first presented with unprovoked severe DKA, i.e., ketonuria, plasma glucose 570 mg/dL, pH 7.18, and HCO3 - 5.2 mmol/L, without anti-islet autoantibodies. She achieved insulin-free glycemic remission after recovery from DKA, leading to the diagnosis of KPD. Thereafter, 75 g oral glucose tolerance test showed impaired fasting glucose and time-in-range using intermittently scanned continuous glucose monitoring was 97% without medication. These findings suggest that, despite the initial severe DKA, some patients with KPD might achieve normalized glucose tolerance after recovery. The similar onset patterns of DKA necessitates appropriately distinguishing KPD from acute-onset type 1B (idiopathic) diabetes. Supplementary Information The online version contains supplementary material available at 10.1007/s13340-022-00599-6.
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23
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Rojano-Toimil A, Rivera-Esteban J, Manzano-Nuñez R, Bañares J, Martinez Selva D, Gabriel-Medina P, Ferrer R, Pericàs JM, Ciudin A. When Sugar Reaches the Liver: Phenotypes of Patients with Diabetes and NAFLD. J Clin Med 2022; 11:jcm11123286. [PMID: 35743358 PMCID: PMC9225139 DOI: 10.3390/jcm11123286] [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] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 01/27/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD) have been traditionally linked to one another. Recent studies suggest that NAFLD may be increasingly common in other types of diabetes such as type 1 diabetes (T1DM) and less frequently ketone-prone and Maturity-onset Diabetes of the Young (MODY) diabetes. In this review, we address the relationship between hyperglycemia and insulin resistance and the onset and progression of NAFLD. In addition, despite the high rate of patients with T2DM and other diabetes phenotypes that can alter liver metabolism and consequently develop steatosis, fibrosis, and cirrhosis, NALFD screening is not still implemented in the daily care routine. Incorporating a clinical algorithm created around a simple, non-invasive, cost-effective model would identify high-risk patients. The principle behind managing these patients is to improve insulin resistance and hyperglycemia states with lifestyle changes, weight loss, and new drug therapies.
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Affiliation(s)
- Alba Rojano-Toimil
- Endocrinology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain;
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
| | - Jesús Rivera-Esteban
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Medicine Department Bellaterra, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
- Liver Unit, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
| | - Ramiro Manzano-Nuñez
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Liver Unit, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
| | - Juan Bañares
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Liver Unit, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
| | - David Martinez Selva
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Spanish Network of Biomedical Research Centers, Diabetes and Metabolic Associated Disorders (CIBERdem), 28029 Madrid, Spain
| | - Pablo Gabriel-Medina
- Biochemistry Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (P.G.-M.); (R.F.)
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Bellaterra, 08193 Barcelona, Spain
| | - Roser Ferrer
- Biochemistry Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (P.G.-M.); (R.F.)
| | - Juan M Pericàs
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Liver Unit, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
- Spanish Network of Biomedical Research Centers, Liver and Digestive Diseases (CIBERehd), 28801 Madrid, Spain
- Correspondence: (J.M.P.); (A.C.)
| | - Andreea Ciudin
- Endocrinology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain;
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Medicine Department Bellaterra, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
- Spanish Network of Biomedical Research Centers, Diabetes and Metabolic Associated Disorders (CIBERdem), 28029 Madrid, Spain
- Correspondence: (J.M.P.); (A.C.)
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24
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Patil SP. Atypical Diabetes and Management Considerations. Prim Care 2022; 49:225-237. [DOI: 10.1016/j.pop.2021.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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25
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Katte JC, Morfaw-Kibula F, Agoons BB, Zemsi S, Guewo-Fokeng M, Sobngwi E. Stimulated UCPCR Levels Are Lower in People With Type 1 Diabetes Than in Other Diabetes Types in Sub-Saharan Africa: Results From a Preliminary Cross-Sectional Study. Front Public Health 2022; 10:866107. [PMID: 35462815 PMCID: PMC9024114 DOI: 10.3389/fpubh.2022.866107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background The clinical utility of Urinary C-Peptide to Creatinine Ratio (UCPCR) is well understood in people with different types of diabetes in Caucasian populations, but studies are lacking in African populations. We, therefore, aimed to examine Urinary C-Peptide to Creatinine Ratio levels among groups of people with different types of diabetes in a sub-Saharan African population. Methods A total of 47 adults with diabetes; 10 with type 1 diabetes, 26 with type 2 diabetes, 11 with ketosis-prone diabetes, and 22 healthy control individuals, were recruited from Yaoundé Central Hospital in Cameroon. Fasting blood glucose and C-peptide were measured in venous blood and urine. Stimulated Urinary C-Peptide to Creatinine Ratio was determined in all subjects after ingestion of a standardized mixed meal. We compared the stimulated Urinary C-peptide to Creatinine Ration concentration in subjects with type 1 diabetes to the other groups. Results The basal C-peptide and HOMA-β were lower in T1D than in the T2D group [median 57 (34, 69) vs. 398 (335, 502) pmol/l; p ≤ 0.001] and [median 3.0 (1.63, 5.25) vs. 30.6 (17.94, 45.03); p < 0.001] respectively. Also, basal C-peptide and HOMA-β were lower in T1D than in those with KPD [median 57 (34, 69) vs. 330 (265, 478) pmol/l; p = 0.003] and [median 3.0 (1.63, 5.25) vs. 47.1 (16.2, 63.1), p = 0.001] respectively. Basal C-peptide was not different between participants with T2D and KPD; 398 (335, 502) vs. 330 (265, 478) pmol/l, p = 0.19. Stimulated UCPCR was lower in T1D compared to T2D, KPD and control participants; [median 0.29 (0.14, 0.68) vs. 0.89 (0.40, 1.69) nmol/moll; p = 0.009], [median 0.29 (0.14, 0.68) vs. 1.33 (0.84, 1.59) nmol/mol; p = 0.006] and [median 0.29 (0.14, 0.68) vs. 1.21 (0.85, 1.21) nmol/mol; p = 0.005] respectively. However, stimulated UCPCR was similar between the T2D and KPD study participants; 0.89 (0.40, 1.69) vs. 1.33 (0.84, 1.59) nmol/mol, p = 0.36. Conclusions Stimulated Urinary C-Peptide to Creatinine Ratio (UCPCR) is lower in participants with type 1 diabetes compared to those with other types of diabetes in this population. This means stimulated UCPCR could potentially differentiate type 1 diabetes from other diabetes types among people with diabetes in sub-Saharan Africa.
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Affiliation(s)
- Jean Claude Katte
- National Obesity Centre and Endocrinology and Metabolic Diseases Unit, Yaounde Central Hospital, Yaounde, Cameroon
- Department of Programme and Training, RSD Institute, Yaoundé, Cameroon
- *Correspondence: Jean Claude Katte
| | | | | | - Sylvain Zemsi
- Department of Programme and Training, RSD Institute, Yaoundé, Cameroon
| | - Magellan Guewo-Fokeng
- Department of Programme and Training, RSD Institute, Yaoundé, Cameroon
- Department of Biochemistry, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon
| | - Eugene Sobngwi
- National Obesity Centre and Endocrinology and Metabolic Diseases Unit, Yaounde Central Hospital, Yaounde, Cameroon
- Department of Programme and Training, RSD Institute, Yaoundé, Cameroon
- Department of Internal Medicine and Specialities, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon
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26
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Matsuura M, Sugawara D, Ichihashi K. A Pediatric Case of Ketosis-Prone Type 2 Diabetes Requiring Insulin Therapy. Cureus 2022; 14:e23305. [PMID: 35464505 PMCID: PMC9015063 DOI: 10.7759/cureus.23305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/18/2022] [Indexed: 11/17/2022] Open
Abstract
In recent years, cases of diabetic ketoacidosis (DKA) or ketosis as the initial manifestation of diabetes with a similar clinical course to that of type 2 diabetes have been reported. This phenotype has been recognized as ketosis-prone type 2 diabetes (KPD). Most cases of KPD occur in adults, and the typical clinical course is that patients are often able to wean off insulin therapy after initial treatment. We report a pediatric case of ketosis-prone type 2 diabetes requiring insulin therapy with four years of follow-up. Our case suggests that patients with KPD may require strict management, including weight control, compared with patients with typical type 2 diabetes.
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27
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Shankar M, Chowdhury T, Gousy N, Parthasarathi A. An Insight Into Flatbush Diabetes: A Rare Form of Diabetes. Cureus 2022; 14:e21567. [PMID: 35228926 PMCID: PMC8865986 DOI: 10.7759/cureus.21567] [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] [Accepted: 01/24/2022] [Indexed: 11/24/2022] Open
Abstract
Ketone-prone diabetes or Flatbush diabetes is being increasingly recognized worldwide. It is typically seen in obese middle-aged men with a family history of Type 2 DM. Atypicality in the onset of age and gender variation is increasingly observed worldwide. Predisposition to glucose desensitization is one of many unclear pathophysiologic mechanisms which is why extensive studies are obligatory. After intensive insulin therapy, many patients eventually become insulin-independent and attain euglycemia with oral hypoglycemic agents or with diet alone due to the recovered functionality of pancreatic beta cells. Our report sheds light on the atypicality of presentation and summarizes the main diagnostic features of this rare form of diabetes. Increased awareness of this entity can facilitate early diagnosis and management.
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Huang X, Xie Z, Wang C, Wang S. Elevated Peripheral Brain-Derived Neurotrophic Factor Level Associated With Decreasing Insulin Secretion May Forecast Memory Dysfunction in Patients With Long-Term Type 2 Diabetes. Front Physiol 2022; 12:686838. [PMID: 35111074 PMCID: PMC8801615 DOI: 10.3389/fphys.2021.686838] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 12/14/2021] [Indexed: 12/31/2022] Open
Abstract
Background With the progressive course of diabetes and the decline in islet function, the cognitive dysfunction of patients aggravated. Objective We aimed to investigate the roles of brain-derived neurotrophic factor (BDNF) and the Val66Met polymorphism in mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus (T2DM). Methods A total of 169 Chinese patients with T2DM were involved and divided into long-term (diabetes duration >10 years) and short-term (diabetes duration ≤10 years) diabetes, and in each group, the patients were separated as MCI and the control. Demographic characteristics, clinical variables, and cognitive performances were assessed. The plasma BDNF level was measured via enzyme-linked immunosorbent assay. The Val66Met polymorphisms were analyzed. Results Long-term T2DM have lower 2 h postprandial C-peptide (p < 0.05). The BDNF level was slightly higher in patients with MCI than in the controls in each duration group without statistical significance. The relationship of BDNF to Montreal Cognitive Assessment was not proven either. However, in the long-term diabetes group, BDNF concentration remained as an independent factor of logical memory test (β = −0.27; p < 0.05), and they were negatively correlated (r = −0.267; p = 0.022); BDNF was also negatively correlated with fasting C-peptide (r = −0.260; p = 0.022), 2 h postprandial C-peptide (r = −0.251; p = 0.028), and homeostasis model assessment of insulin resistance (r = −0.312; p = 0.006). In genotypic groups, BDNF Val/Val performed better in logical memory test than Met/Met and Val/Met. Conclusion Elevated peripheral BDNF level associated with declined islet function, when combined with its Val66Met polymorphism, may forecast memory dysfunction in patients with long-term T2DM.
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Affiliation(s)
- Xi Huang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
- Nanjing Medical University, Nanjing, China
| | - Zuolin Xie
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
- School of Medicine, Southeast University, Nanjing, China
| | - Chenchen Wang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
- School of Medicine, Southeast University, Nanjing, China
| | - Shaohua Wang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
- Nanjing Medical University, Nanjing, China
- School of Medicine, Southeast University, Nanjing, China
- *Correspondence: Shaohua Wang,
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29
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Jagannathan R, Stefanovski D, Smiley DD, Oladejo O, Cotten LF, Umpierrez G, Vellanki P. 1-h Glucose During Oral Glucose Tolerance Test Predicts Hyperglycemia Relapse-Free Survival in Obese Black Patients With Hyperglycemic Crises. Front Endocrinol (Lausanne) 2022; 13:871965. [PMID: 35721763 PMCID: PMC9202609 DOI: 10.3389/fendo.2022.871965] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 02/08/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Approximately 50% of obese Black patients with unprovoked diabetic ketoacidosis (DKA) or severe hyperglycemia (SH) at new-onset diabetes achieve near-normoglycemia remission with intensive insulin treatment. Despite the initial near-normoglycemia remission, most DKA/SH individuals develop hyperglycemia relapse after insulin discontinuation. Traditional biomarkers such as normal glucose tolerance at the time of remission were not predictive of hyperglycemia relapse. We tested whether 1-h plasma glucose (1-h PG) at remission predicts hyperglycemia relapse in Black patients with DKA/SH. METHODS Secondary analysis was performed of two prospective randomized controlled trials in 73 patients with DKA/SH at the safety net hospital with a median follow-up of 408 days. Patients with DKA/SH underwent a 5-point, 2-h 75-g oral glucose tolerance test after hyperglycemia remission. Hyperglycemia relapse is defined by fasting blood glucose (FBG) > 130 mg/dl, random blood glucose (BG) >180 mg/dl, or HbA1c > 7%. RESULTS During the median 408 (interquartile range: 110-602) days of follow-up, hyperglycemia relapse occurred in 28 (38.4%) participants. One-hour PG value ≥199 mg/dl discriminates hyperglycemia relapse (sensitivity: 64%; specificity: 71%). Elevated levels of 1-h PG (≥199 mg/dl) were independently associated with hyperglycemia relapse (adjusted hazard ratio: 2.40 [95% CI: 1.04, 5.56]). In a multivariable model with FBG, adding 1-h PG level enhanced the prediction of hyperglycemia relapse, with significant improvements in C-index (Δ: +0.05; p = 0.04), net reclassification improvement (NRI: 48.7%; p = 0.04), and integrated discrimination improvement (IDI: 7.8%; p = 0.02) as compared with the addition of 2-h PG (NRI: 20.2%; p = 0.42; IDI: 1.32%; p = 0.41) or HbA1c (NRI: 35.2%; p = 0.143; IDI: 5.8%; p = 0.04). CONCLUSION One-hour PG at the time of remission is a better predictor of hyperglycemia relapse than traditional glycemic markers among obese Black patients presenting with DKA/SH. Testing 1-h PG at insulin discontinuation identifies individuals at high risk of developing hyperglycemia relapse.
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Affiliation(s)
- Ram Jagannathan
- Division of Hospital Medicine, Emory University School of Medicine, Atlanta GA, United States
| | - Darko Stefanovski
- Department of Biostatistics, University of Pennsylvania School of Veterinary Medicine, Kennett Square, PA, United States
| | - Dawn D. Smiley
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA, United States
| | - Omolade Oladejo
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA, United States
| | - Lucia F. Cotten
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA, United States
| | - Guillermo Umpierrez
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA, United States
| | - Priyathama Vellanki
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA, United States
- *Correspondence: Priyathama Vellanki,
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Redondo MJ, Balasubramanyam A. Toward an Improved Classification of Type 2 Diabetes: Lessons From Research into the Heterogeneity of a Complex Disease. J Clin Endocrinol Metab 2021; 106:e4822-e4833. [PMID: 34291809 PMCID: PMC8787852 DOI: 10.1210/clinem/dgab545] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Accumulating evidence indicates that type 2 diabetes (T2D) is phenotypically heterogeneous. Defining and classifying variant forms of T2D are priorities to better understand its pathophysiology and usher clinical practice into an era of "precision diabetes." EVIDENCE ACQUISITION AND METHODS We reviewed literature related to heterogeneity of T2D over the past 5 decades and identified a range of phenotypic variants of T2D. Their descriptions expose inadequacies in current classification systems. We attempt to link phenotypically diverse forms to pathophysiology, explore investigative methods that have characterized "atypical" forms of T2D on an etiological basis, and review conceptual frameworks for an improved taxonomy. Finally, we propose future directions to achieve the goal of an etiological classification of T2D. EVIDENCE SYNTHESIS Differences among ethnic and racial groups were early observations of phenotypic heterogeneity. Investigations that uncover complex interactions of pathophysiologic pathways leading to T2D are supported by epidemiological and clinical differences between the sexes and between adult and youth-onset T2D. Approaches to an etiological classification are illustrated by investigations of atypical forms of T2D, such as monogenic diabetes and syndromes of ketosis-prone diabetes. Conceptual frameworks that accommodate heterogeneity in T2D include an overlap between known diabetes types, a "palette" model integrated with a "threshold hypothesis," and a spectrum model of atypical diabetes. CONCLUSION The heterogeneity of T2D demands an improved, etiological classification scheme. Excellent phenotypic descriptions of emerging syndromes in different populations, continued clinical and molecular investigations of atypical forms of diabetes, and useful conceptual models can be utilized to achieve this important goal.
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Affiliation(s)
- Maria J Redondo
- Section of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
- Texas Children’s Hospital, Houston, TX 77030, USA
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX 77030, USA
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Yang D, Patel S, Szlachcic WJ, Chmielowiec J, Scaduto D, Putluri N, Sreekumar A, Suliburk J, Metzker M, Balasubramanyam A, Borowiak M. Pancreatic Differentiation of Stem Cells Reveals Pathogenesis of a Syndrome of Ketosis-Prone Diabetes. Diabetes 2021; 70:2419-2429. [PMID: 34344789 PMCID: PMC8576504 DOI: 10.2337/db20-1293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 07/28/2021] [Indexed: 11/29/2022]
Abstract
Genetic analysis of an adult patient with an unusual course of ketosis-prone diabetes (KPD) and lacking islet autoantibodies demonstrated a nucleotide variant in the 5'-untranslated region (UTR) of PDX1, a β-cell development gene. When differentiated to the pancreatic lineage, his induced pluripotent stem cells stalled at the definitive endoderm (DE) stage. Metabolomics analysis of the cells revealed that this was associated with leucine hypersensitivity during transition from the DE to the pancreatic progenitor (PP) stage, and RNA sequencing showed that defects in leucine-sensitive mTOR pathways contribute to the differentiation deficiency. CRISPR/Cas9 manipulation of the PDX1 variant demonstrated that it is necessary and sufficient to confer leucine sensitivity and the differentiation block, likely due to disruption of binding of the transcriptional regulator NFY to the PDX1 5'-UTR, leading to decreased PDX1 expression at the early PP stage. Thus, the combination of an underlying defect in leucine catabolism characteristic of KPD with a functionally relevant heterozygous variant in a critical β-cell gene that confers increased leucine sensitivity and inhibits endocrine cell differentiation resulted in the phenotype of late-onset β-cell failure in this patient. We define the molecular pathogenesis of a diabetes syndrome and demonstrate the power of multiomics analysis of patient-specific stem cells for clinical discovery.
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Affiliation(s)
- Diane Yang
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX
- McNair Medical Institute, Baylor College of Medicine, Houston, TX
| | - Sanjeet Patel
- Division of Cardiothoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Jolanta Chmielowiec
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX
| | | | - Nagireddy Putluri
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX
| | - Arun Sreekumar
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX
| | - James Suliburk
- Department of Surgery, Baylor College of Medicine, Houston, TX
| | | | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | - Malgorzata Borowiak
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX
- McNair Medical Institute, Baylor College of Medicine, Houston, TX
- Adam Mickiewicz University, Poznan, Poland
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McCoy RG, Galindo RJ, Swarna KS, Van Houten HK, O’Connor PJ, Umpierrez GE, Shah ND. Sociodemographic, Clinical, and Treatment-Related Factors Associated With Hyperglycemic Crises Among Adults With Type 1 or Type 2 Diabetes in the US From 2014 to 2020. JAMA Netw Open 2021; 4:e2123471. [PMID: 34468753 PMCID: PMC8411297 DOI: 10.1001/jamanetworkopen.2021.23471] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
IMPORTANCE Hyperglycemic crises (ie, diabetic ketoacidosis [DKA] and hyperglycemic hyperosmolar state [HHS]) are life-threatening acute complications of diabetes. Efforts to prevent these events at the population level have been hindered by scarce granular data and difficulty in identifying individuals at highest risk. OBJECTIVE To assess sociodemographic, clinical, and treatment-related factors associated with hyperglycemic crises in adults with type 1 or type 2 diabetes in the US from 2014 to 2020. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study analyzed administrative claims and laboratory results for adults (aged ≥18 years) with type 1 or type 2 diabetes from the OptumLabs Data Warehouse from January 1, 2014, through December 31, 2020. MAIN OUTCOMES AND MEASURES Rates of emergency department or hospital visits with a primary diagnosis of DKA or HHS (adjusted for age, sex, race/ethnicity, and region, and for year when calculating annualized rates) were calculated separately for patients with type 1 diabetes and type 2 diabetes. The associations of sociodemographic factors (age, sex, race/ethnicity, region, and income), clinical factors (comorbidities), and treatment factors (glucose-lowering medications, hemoglobin A1c) with DKA or HHS in patients with type 1 or type 2 diabetes were assessed using negative binomial regression. RESULTS Among 20 156 adults with type 1 diabetes (mean [SD] age, 46.6 [16.5] years; 51.2% male; 72.6% White race/ethnicity) and 796 382 with type 2 diabetes (mean [SD] age, 65.6 [11.8] years; 50.3% female; 54.4% White race/ethnicity), adjusted rates of hyperglycemic crises were 52.69 per 1000 person-years (95% CI, 48.26-57.12 per 1000 person-years) for type 1 diabetes and 4.04 per 1000 person-years (95% CI, 3.88-4.21 per 1000 person-years) for type 2 diabetes. In both groups, factors associated with the greatest hyperglycemic crisis risk were low income (≥$200 000 vs <$40 000: type 1 diabetes incidence risk ratio [IRR], 0.61 [95% CI, 0.46-0.81]; type 2 diabetes IRR, 0.69 [95% CI, 0.56-0.86]), Black race/ethnicity (vs White race/ethnicity: type 1 diabetes IRR, 1.33 [95% CI, 1.01-1.74]; type 2 diabetes IRR, 1.18 [95% CI, 1.09-1.27]), high hemoglobin A1c level (≥10% vs 6.5%-6.9%: type 1 diabetes IRR, 7.81 [95% CI, 5.78-10.54]; type 2 diabetes IRR, 7.06 [95% CI, 6.26-7.96]), history of hyperglycemic crises (type 1 diabetes IRR, 7.88 [95% CI, 6.06-9.99]; type 2 diabetes IRR, 17.51 [95% CI, 15.07-20.34]), severe hypoglycemia (type 1 diabetes IRR, 2.77 [95% CI, 2.15-3.56]; type 2 diabetes IRR, 4.18 [95% CI, 3.58-4.87]), depression (type 1 diabetes IRR, 1.62 [95% CI, 1.37-1.92]; type 2 diabetes IRR, 1.46 [95% CI, 1.34-1.59]), neuropathy (type 1 diabetes IRR, 1.64 [95% CI, 1.39-1.93]; type 2 diabetes IRR, 1.25 [95% CI, 1.17-1.34]), and nephropathy (type 1 diabetes IRR, 1.22 [95% CI, 1.01-1.48]; type 2 diabetes IRR, 1.23 [95% CI, 1.14-1.33]). Age had a U-shaped association with hyperglycemic crisis risk in patients with type 1 diabetes (compared with patients aged 18-44 years: 45-64 years IRR, 0.72 [95% CI, 0.59-0.87]; 65-74 years IRR, 0.62 [95% CI, 0.47-0.80]; ≥75 years IRR, 0.96 [95% CI, 0.66-1.38]). In type 2 diabetes, risk of hyperglycemic crises decreased progressively with age (45-64 years IRR, 0.57 [95% CI, 0.51-0.63]; 65-74 years IRR, 0.44 [95% CI, .39-0.49]; ≥75 years IRR, 0.41 [95% CI, 0.36-0.47]). In patients with type 2 diabetes, higher risk was associated with sodium-glucose cotransporter 2 inhibitor therapy (IRR, 1.30; 95% CI, 1.14-1.49) and insulin dependency (compared with regimens with bolus insulin: regimens with basal insulin only, IRR, 0.69 [95% CI, 0.63-0.75]; and without any insulin, IRR, 0.36 [95% CI, 0.33-0.40]). CONCLUSIONS AND RELEVANCE In this cohort study, younger age, Black race/ethnicity, low income, and poor glycemic control were associated with an increased risk of hyperglycemic crises. The findings suggest that multidisciplinary interventions focusing on groups at high risk for hyperglycemic crises are needed to prevent these dangerous events.
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Affiliation(s)
- Rozalina G. McCoy
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
| | - Rodolfo J. Galindo
- Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia
| | - Kavya Sindhu Swarna
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
| | - Holly K. Van Houten
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
- HealthPartners Institute Center for Chronic Care Innovation, Minneapolis, Minnesota
| | - Patrick J. O’Connor
- HealthPartners Institute Center for Chronic Care Innovation, Minneapolis, Minnesota
| | - Guillermo E. Umpierrez
- Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia
| | - Nilay D. Shah
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
- OptumLabs, Eden Prairie, Minnesota
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Jahoor F, Hsu JW, Mehta PB, Keene KR, Gaba R, Mulukutla SN, Caducoy E, Peacock WF, Patel SG, Bennet R, Lernmark A, Balasubramanyam A. Metabolomics Profiling of Patients With A-β+ Ketosis-Prone Diabetes During Diabetic Ketoacidosis. Diabetes 2021; 70:1898-1909. [PMID: 34021044 PMCID: PMC8385613 DOI: 10.2337/db21-0066] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 05/18/2021] [Indexed: 12/28/2022]
Abstract
When stable and near-normoglycemic, patients with "A-β+" ketosis-prone diabetes (KPD) manifest accelerated leucine catabolism and blunted ketone oxidation, which may underlie their proclivity to develop diabetic ketoacidosis (DKA). To understand metabolic derangements in A-β+ KPD patients during DKA, we compared serum metabolomics profiles of adults during acute hyperglycemic crises, without (n = 21) or with (n = 74) DKA, and healthy control subjects (n = 17). Based on 65 kDa GAD islet autoantibody status, C-peptide, and clinical features, 53 DKA patients were categorized as having KPD and 21 type 1 diabetes (T1D); 21 nonketotic patients were categorized as having type 2 diabetes (T2D). Patients with KPD and patients with T1D had higher counterregulatory hormones and lower insulin-to-glucagon ratio than patients with T2D and control subjects. Compared with patients withT2D and control subjects, patients with KPD and patients with T1D had lower free carnitine and higher long-chain acylcarnitines and acetylcarnitine (C2) but lower palmitoylcarnitine (C16)-to-C2 ratio; a positive relationship between C16 and C2 but negative relationship between carnitine and β-hydroxybutyrate (BOHB); higher branched-chain amino acids (BCAAs) and their ketoacids but lower ketoisocaproate (KIC)-to-Leu, ketomethylvalerate (KMV)-to-Ile, ketoisovalerate (KIV)-to-Val, isovalerylcarnitine-to-KIC+KMV, propionylcarnitine-to-KIV+KMV, KIC+KMV-to-C2, and KIC-to-BOHB ratios; and lower glutamate and 3-methylhistidine. These data suggest that during DKA, patients with KPD resemble patients with T1D in having impaired BCAA catabolism and accelerated fatty acid flux to ketones-a reversal of their distinctive BCAA metabolic defect when stable. The natural history of A-β+ KPD is marked by chronic but varying dysregulation of BCAA metabolism.
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Affiliation(s)
- Farook Jahoor
- Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, and Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Jean W Hsu
- Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, and Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Paras B Mehta
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | - Kelly R Keene
- Department of Emergency Medicine, Baylor College of Medicine, Houston, TX
- Ben Taub General Hospital, Harris Health System, Houston, TX
| | - Ruchi Gaba
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
- Ben Taub General Hospital, Harris Health System, Houston, TX
| | | | - Eunice Caducoy
- Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, and Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - W Frank Peacock
- Department of Emergency Medicine, Baylor College of Medicine, Houston, TX
- Ben Taub General Hospital, Harris Health System, Houston, TX
| | - Sanjeet G Patel
- Division of Cardiothoracic Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Rasmus Bennet
- Unit for Diabetes and Celiac Disease, Lund University, Malmo, Sweden
| | - Ake Lernmark
- Unit for Diabetes and Celiac Disease, Lund University, Malmo, Sweden
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
- Ben Taub General Hospital, Harris Health System, Houston, TX
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Bille N, Byberg S, Gishoma C, Buch Kristensen K, Lund Christensen D. HbA 1c variability and the development of nephropathy in individuals with type 1 diabetes mellitus from Rwanda. Diabetes Res Clin Pract 2021; 178:108929. [PMID: 34216679 DOI: 10.1016/j.diabres.2021.108929] [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: 09/21/2020] [Revised: 05/21/2021] [Accepted: 06/28/2021] [Indexed: 11/20/2022]
Abstract
AIM To estimate the incidence and prevalence of nephropathy and investigate whether high and fluctuating HbA1c levels were associated with development of nephropathy among T1 diabetes individuals in Rwanda. METHODS From 2009 to 2018, 471 T1 diabetes individuals from Rwanda were assessed for nephropathy (albumin-creatinine ratio (ACR) ≥ 30 mg/g). We calculated the mean HbA1c (HbA1c-MEAN) and two measures of HbA1c variability, i.e. A): intra-individual standard deviation (HbA1c-SD), adjusted for HbA1c assessments (HbA1c-AdjSD) and coefficient of variation (HbA1c-CV) and B): (number of HbA1c variability measures > 11 mmol/mol between two measures/number of comparisons between measurements)*100. We followed individuals from first ACR-measurement (baseline) until nephropathy, death or last ACR-measurement (end-of-follow-up), and calculated HRs for developing nephropathy using Cox-regression. RESULTS The incidence and prevalence of nephropathy were 25% and 40%, respectively. All HbA1c variability measures were associated with lower HRs of developing nephropathy, i.e. individuals with HbA1c-AdjSD levels of 0.8-1.5%, 1.5-2.1% and > 4.1% had 53% (95 %CI:0.26;0.86), 55% (95 %CI:0.25;0.82) and 53% (95 %CI:0.26;0.84) lower HRs, respectively, of nephropathy compared to individuals with HbA1c-AdjSD < 0.8%. Results did not change after adjustments, though some estimates were no longer significant. Individuals with adjusted HbA1c-MEAN 9.9-11.4% and > 11.4% had HRs of 1.7 (95 %CI: 0.87;3.32) and 1.8 (95 %CI: 0.94;3.50) compared to individuals with HbA1c-MEAN of 4.9-8.5%. CONCLUSION The incidence and prevalence of nephropathy was high. Higher mean HbA1c was associated with higher HRs of developing nephropathy whereas higher HbA1c variability was associated with lower HRs of nephropathy. This indicates that higher HbA1c levels rather than fluctuating HbA1c levels is a risk factor for developing nephropathy.
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Affiliation(s)
- Nathalie Bille
- World Diabetes Foundation, Department of Advocacy and Partnerships, Bagsvaerd, Denmark; University of Copenhagen, Department of Public Health, Global Health Section, Copenhagen, Denmark.
| | - Stine Byberg
- Steno Diabetes Center Copenhagen, Department of Clinical Epidemiology, Gentofte, Denmark
| | | | - Kirza Buch Kristensen
- World Diabetes Foundation, Department of Advocacy and Partnerships, Bagsvaerd, Denmark
| | - Dirk Lund Christensen
- University of Copenhagen, Department of Public Health, Global Health Section, Copenhagen, Denmark
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Adler A, Bennett P, Colagiuri Chair S, Gregg E, Narayan KMV, Inês Schmidt M, Sobngwi E, Tajima N, Tandon N, Unwin N, Wild S, Yudkin J, Levitt N, Mohan V, Montgomery S, Nyirenda MJ, Tuomilehto J, Den Boon S, Hocking S. REPRINT OF: CLASSIFICATION OF DIABETES MELLITUS. Diabetes Res Clin Pract 2021:108972. [PMID: 34343595 DOI: 10.1016/j.diabres.2021.108972] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Executive Summary This document updates the 1999 World Health Organization (WHO) classification of diabetes. It prioritizes clinical care and guides health professionals in choosing appropriate treatments at the time of diabetes diagnosis, and provides practical guidance to clinicians in assigning a type of diabetes to individuals at the time of diagnosis. It is a compromise between clinical and aetiological classification because there remain gaps in knowledge of the aetiology and pathophysiology of diabetes. While acknowledging the progress that is being made towards a more precise categorization of diabetes subtypes, the aim of this document is to recommend a classification that is feasible to implement in different settings throughout the world. The revised classification is presented in Table 1. Unlike the previous classification, this classification does not recognize subtypes of type 1 diabetes and type 2 diabetes and includes new types of diabetes ("hybrid types of diabetes" and "unclassified diabetes").
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Affiliation(s)
| | - Peter Bennett
- Phoenix Epidemiology & Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, USA
| | | | - Edward Gregg
- Centers for Disease Control and Prevention, Atlanta, USA
| | | | | | - Eugene Sobngwi
- Faculté de Medecine et des Sciences Biomedicales et Centre de Biotechnologie, Université de Yaounde 1, Cameroon
| | - Naoko Tajima
- Jikei University School of Medicine, Tokyo, Japan
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - Nigel Unwin
- Chronic Disease Research Centre, The University of the West Indies, Bridgetown, Barbados, and MRC Epidemiology Unit, University of Cambridge, UK
| | | | | | - Naomi Levitt
- Diabetic Medicine and Endocrinology, Department of Medicine at Groote Schuur Hospital and University of Cape Town, South Africa
| | | | | | - Moffat J Nyirenda
- Medical Research Council/Uganda Virus Research Institute/London School of Hygiene and Tropical Medicine, Uganda Research Unit, Entebbe, Uganda
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Lygidakis C, Uwizihiwe JP, Bia M, Kallestrup P, Dukundane D, Asiimwe-Kateera B, Niyonsenga SP, Vögele C. Cultural adaptation and psychometric evaluation of the Kinyarwanda version of the problem areas in diabetes (PAID) questionnaire. Health Qual Life Outcomes 2021; 19:183. [PMID: 34294101 PMCID: PMC8299688 DOI: 10.1186/s12955-021-01821-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 07/14/2021] [Indexed: 01/19/2023] Open
Abstract
Background High prevalence rates in diabetes-related distress have been observed in several studies; however, in the region of Sub-Saharan Africa evidence is lacking as is, for example, the case for Rwanda, where diabetes prevalence is expected to increase over the next decade. The aim of this study is to report on the translation and cultural adaption of the problem areas in diabetes (PAID) questionnaire into Kinyarwanda and its psychometric properties.
Methods The questionnaire was translated following a standard procedure. Interviews were conducted with 29 participants before producing a final version. For the psychometric evaluation, a sample of 266 patients with diabetes mellitus, aged 21–64 years old were examined. Participants either came from a separate cluster-randomised controlled trial or were recruited ad-hoc for this study. The evaluation included testing internal consistency, known groups validity, and construct validity. A series of confirmatory factor analysis were conducted investigating seven previously established factorial structures. An exploratory factor analysis (EFA) was also carried out to examine the structure further. Results The full scale showed good internal reliability (Cronbach’s α = 0.88). A four-factor solution previously tested in Spain with subdimensions of emotional, treatment, food-related and social-support problems demonstrated adequate approximate fit (RMSEA = 0.056; CFI = 0.951; TLI = 0.943). The EFA revealed a four-factor structure; however, two of these factors were not as homogeneous and easily interpretable as those of the Spanish model.
Conclusions The psychometric properties of the Kinyarwanda version of PAID are acceptable. The questionnaire can be helpful in research and clinical practice in Rwanda, however certain cross-cultural differences should be taken into account.
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Affiliation(s)
- Charilaos Lygidakis
- Department of Behavioural and Cognitive Sciences, University of Luxembourg, Porte des Sciences 11, 4366, Esch-sur-Alzette, Luxembourg. .,College of Medicine and Health Sciences, University of Rwanda, Huye, Rwanda.
| | - Jean Paul Uwizihiwe
- College of Medicine and Health Sciences, University of Rwanda, Huye, Rwanda.,Centre for Global Health, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Michela Bia
- Luxembourg Institute of Socio-Economic Research (LISER), Esch-sur-Alzette, Luxembourg
| | - Per Kallestrup
- Centre for Global Health, Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Brenda Asiimwe-Kateera
- College of Medicine and Health Sciences, University of Rwanda, Huye, Rwanda.,AIDS Healthcare Foundation (AHF) Rwanda, Kigali, Rwanda
| | | | - Claus Vögele
- Department of Behavioural and Cognitive Sciences, University of Luxembourg, Porte des Sciences 11, 4366, Esch-sur-Alzette, Luxembourg
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Abstract
Diabetes mellitus is a common condition which all clinicians will encounter in their clinical practice. The most common form is type 2 diabetes followed by type 1 diabetes. However, there are many other atypical forms of diabetes which are important for a clinician to consider as it can impact on the diagnosis and their management.This article focuses on maturity onset diabetes of the young (MODY), latent autoimmune diabetes in adults (LADA), ketosis-prone diabetes and other secondary forms of diabetes such as pancreatic cancer and haemochromatosis. We briefly describe the key clinical features of these forms of diabetes and their investigations and treatment.
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Waddankeri SS, Swaraj Waddankeri M, Gurushantappa Mangshetty B. Clinical and Biochemical Characteristics and Treatment Outcomes of Ketosis-Prone Diabetes: The Remission Prone Diabetes. Int J Endocrinol Metab 2021; 19:e106799. [PMID: 34149844 PMCID: PMC8198612 DOI: 10.5812/ijem.106799] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 11/22/2020] [Accepted: 02/01/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Diabetic ketoacidosis (DKA) is one of the severe acute complications of diabetes. It has long been considered a key clinical characteristic of type 1 diabetes mellitus (T1DM) with severe and irreversible deficient insulin levels. Ketosis-prone diabetes (KPD) has pathophysiology close to T2DM but shows signs and symptoms associated with T1DM. In general, patients with ketosis-prone diabetes display elevated glucose and ketone levels; also, a higher hemoglobin A1C than conventional T2DM. OBJECTIVES The current research aimed to elucidate the clinical presentation and outline a management plan for KPD in the Indian population. METHODS The present case series is a descriptive, prospective, and observational case series on six unprovoked cases of KPD. They were managed using the standard protocol of DKA management. RESULTS The recruited cases followed a set pattern of very high insulin requirement at diagnosis. On follow-up, the insulin requirement progressively declined, and all of the cases were able to stop insulin therapy after a mean period of four weeks. None of the cases presented any organ damage at diagnosis. There was no recurrence of DKA during the two-year follow-up. All of the cases had normal liver and renal functions. Autoantibodies were negative in all of the cases. CONCLUSIONS Ketosis-prone diabetes is the most under-recognized and under-diagnosed among all types of diabetes. Its recognition is of utmost importance as the approach of its treatment varies widely from that of the conventional type of diabetes. Proper follow-up, especially in unprovoked cases of DKA with obese phenotype, could help elucidate this rare entity of KPD where insulin can be stopped and maintain normoglycemia for a substantial period without insulin.
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Affiliation(s)
- Swaraj Shrikant Waddankeri
- Department of Medicine, Division of Diabetes and Endocrinology, M R Medical College, Kalaburgi, India
- Corresponding Author: Department of Medicine, Division of Diabetes and Endocrinology, M R Medical College, Kalaburgi, India.
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Sexual hormones and diabetes: The impact of estradiol in pancreatic β cell. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2021. [PMID: 33832654 DOI: 10.1016/bs.ircmb.2021.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/13/2023]
Abstract
Diabetes is one of the most prevalent metabolic diseases and its incidence is increasing throughout the world. Data from World Health Organization (WHO) point-out that diabetes is a major cause of blindness, kidney failure, heart attacks, stroke and lower limb amputation and estimated 1.6 million deaths were directly caused by it in 2016. Population studies show that the incidence of this disease increases in women after menopause, when the production of estrogen is decreasing in them. Knowing the impact that estrogenic signaling has on insulin-secreting β cells is key to prevention and design of new therapeutic targets. This chapter explores the role of estrogen and their receptors in the regulation of insulin secretion and biosynthesis, proliferation, regeneration and survival in pancreatic β cells. In addition, delves into the genetic animal models developed and its application for the specific study of the different estrogen signaling pathways. Finally, discusses the impact of menopause and hormone replacement therapy on pancreatic β cell function.
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de Lima Ramaldes LA, Dos Santos SS, de Sa JR, Dualib PM, Dib SA. The first series of cases of ketosis-prone type 2 diabetes (flatbush diabetes) in Brazilian adults. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2021; 65:231-236. [PMID: 33905625 PMCID: PMC10065323 DOI: 10.20945/2359-3997000000329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Ketosis-prone type 2 diabetes (KPD) is an emerging form of diabetes mellitus characterized by unprovoked ketoacidosis, absence of autoimmunity and beta-cell dysfunction. The KPD may improve after initial glycemic compensation and evolve to exogenous insulin independence, most cases were observed in populations with African or Hispanic backgrounds. We reviewed the literature on KPD and, to date, only one case of KPD has been described in Brazil's multi-ethnic population. A group of adult Brazilian KPD patients without autoimmunity and insulinopenia was identified for this study. We report a retrospective study of four KPD cases (3 males) evaluated in southeast Brazil, the patients were overweight or obese, age between the third and fifth decades of life, had a family history of type 2 diabetes, hyperglycemia (809.5 ± 344.2 mg/dL), acidosis (pH 7.21 ± 0.07; normal range (nr): 7.35-7.45 and bicarbonate 9.1 ± 6.2; nr: 22-26 mEq/mL), ketonuria (142.5 ± 114.4 mg/dL; nr: absence), absence of glutamic acid decarboxylase antibodies (GAD-65), and beta-cell function reserve (C-peptide 1.19 ± 0.53 ng/mL - nr: 1.1-4.4 ng/mL) on diagnosis. After glycemic compensation, there was increase of C-peptide (2.21 ± 0.41) indicating the recovery of beta-cell function and the time to insulin independence was 7.7 ± 3.5 months. They evolved after the period of glucotoxicity with insulin withdrawal and could be treated with oral antidiabetic therapy. This is the first case series of KPD described in Brazil being characterized by ketoacidosis at diagnosis, absence of autoimmunity, recovery of beta-cell function and insulin independence.
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Affiliation(s)
- Luana Aparecida de Lima Ramaldes
- Departamento de Medicina, Disciplina de Endocrinologia, Centro de Diabetes, Universidade Federal de São Paulo, São Paulo, SP, Brasil,
| | - Sarah Simaan Dos Santos
- Departamento de Medicina, Disciplina de Endocrinologia, Centro de Diabetes, Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | - João Roberto de Sa
- Departamento de Medicina, Disciplina de Endocrinologia, Centro de Diabetes, Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | - Patrícia Médici Dualib
- Departamento de Medicina, Disciplina de Endocrinologia, Centro de Diabetes, Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | - Sérgio Atala Dib
- Departamento de Medicina, Disciplina de Endocrinologia, Centro de Diabetes, Universidade Federal de São Paulo, São Paulo, SP, Brasil
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Lygidakis C, Uwizihiwe JP, Bia M, Uwinkindi F, Kallestrup P, Vögele C. Quality of life among adult patients living with diabetes in Rwanda: a cross-sectional study in outpatient clinics. BMJ Open 2021; 11:e043997. [PMID: 33608403 PMCID: PMC7896598 DOI: 10.1136/bmjopen-2020-043997] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVES To report on the disease-related quality of life of patients living with diabetes mellitus in Rwanda and identify its predictors. DESIGN Cross-sectional study, part of the baseline assessment of a cluster-randomised controlled trial. SETTING Outpatient clinics for non-communicable diseases of nine hospitals across Rwanda. PARTICIPANTS Between January and August 2019, 206 patients were recruited as part of the clinical trial. Eligible participants were those aged 21-80 years and with a diagnosis of diabetes mellitus for at least 6 months. Illiterate patients, those with severe hearing or visual impairments, those with severe mental health conditions, terminally ill, and those pregnant or in the postpartum period were excluded PRIMARY AND SECONDARY OUTCOME MEASURES: Disease-specific quality of life was measured with the Kinyarwanda version of the Diabetes-39 (D-39) questionnaire. A glycated haemoglobin (HbA1c) test was performed on all patients. Sociodemographic and clinical data were collected, including medical history, disease-related complications and comorbidities. RESULTS The worst affected dimensions of the D-39 were 'anxiety and worry' (mean=51.63, SD=25.51), 'sexual functioning' (mean=44.58, SD=37.02), and 'energy and mobility' (mean=42.71, SD=20.69). Duration of the disease and HbA1c values were not correlated with any of the D-39 dimensions. A moderating effect was identified between use of insulin and achieving a target HbA1c of 7% in the 'diabetes control' scale. The most frequent comorbidity was hypertension (49.0% of participants), which had a greater negative effect on the 'diabetes control' and 'social burden' scales in women. Higher education was a predictor of less impact on the 'social burden' and 'energy and mobility' scales. CONCLUSIONS Several variables were identified as predictors for the five dimensions of quality of life that were studied, providing opportunities for tailored preventive programmes. Further prospective studies are needed to determine causal relationships. TRIAL REGISTRATION NUMBER NCT03376607.
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Affiliation(s)
- Charilaos Lygidakis
- Department of Behavioural and Cognitive Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- College of Medicine and Health Sciences, University of Rwanda, Butare, Rwanda
| | - Jean Paul Uwizihiwe
- College of Medicine and Health Sciences, University of Rwanda, Butare, Rwanda
- Centre for Global Health, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Michela Bia
- Luxembourg Institute of Socio-Economic Research (LISER), Esch-sur-Alzette, Luxembourg
| | - Francois Uwinkindi
- Division of Non Communicable Diseases, Rwanda Biomedical Center (RBC), Kigali, Rwanda
| | - Per Kallestrup
- Centre for Global Health, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Claus Vögele
- Department of Behavioural and Cognitive Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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Ekiz E, Celepkolu T, Karahan Y. An Important Form of Diabetes for Clinicians: Ketosis-Prone Diabetes. DUBAI DIABETES AND ENDOCRINOLOGY JOURNAL 2021. [DOI: 10.1159/000513667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Ketosis-prone diabetes (KPD) is defined as a hybrid form of diabetes mellitus, which is predominantly seen in overweight-to-obese men. Although the diagnosis is based on diabetic ketoacidosis (DKA) as a presenting feature, which also is characteristic of type 1 diabetes, the course of the disease differs from type 1. Recognition of this form by the clinicians is important as these patients are negative for autoantibodies and share the characteristics of type 2 diabetes during follow-up. Here we report 2 cases of KPD presenting with DKA and maintaining normoglycemia without insulin after receiving short-term intensive insulin treatment.
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43
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Ye S, Ran H, Zhang H, Wu H, Li W, Du S, Su Q. Elevated Serum Triglycerides are Associated with Ketosis-Prone Type 2 Diabetes in Young Individuals. Diabetes Metab Syndr Obes 2021; 14:497-504. [PMID: 33568926 PMCID: PMC7869714 DOI: 10.2147/dmso.s296085] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/20/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Ketosis-prone type 2 diabetes (KPT2D) is increasingly recognized in young adults. However, the role of blood lipids in KPT2D, especially serum triglycerides (TGs), is not yet clearly understood. PATIENTS AND METHODS We retrospectively evaluated 409 young patients diagnosed with KPT2D or classical type 2 diabetes (T2D) attending an academic tertiary hospital. Clinical characteristics and laboratory findings were compared between KPT2D and T2D patients. ANOVA or a non-parametric test analyses were used to evaluate differences in clinical characteristics and laboratory findings. Multivariate regression analyses and stratified analyses were used to further investigate differences in serum TGs levels between KPT2D and T2D individuals. RESULTS KPT2D is a subtype of T2D with traits of overweight or obesity. However, hyperglycemia and impaired β-cell functions were more severe in KPT2D patients. Serum TGs levels were significantly higher (P = 0.0003) in KPT2D individuals. Furthermore, the proportion of very high serum TGs levels was 6-fold higher (P < 0.0001) in KPT2D than in T2D patients. Elevated serum TGs were associated with young KPT2D patients. CONCLUSION Lifestyle changes as well as lipid-lowering treatments might be effective in lowering the incidence of ketosis as well as stabilizing disease progression.
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Affiliation(s)
- Shu Ye
- Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai200092, People’s Republic of China
| | - Hui Ran
- Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai200092, People’s Republic of China
| | - Hongmei Zhang
- Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai200092, People’s Republic of China
| | - Hui Wu
- Department of Endocrinology, Zhejiang Provincial People’s Hospital, Hangzhou Medical College, Hangzhou, 310014, People’s Republic of China
| | - Wen Li
- Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai200092, People’s Republic of China
| | - Shichun Du
- Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai200092, People’s Republic of China
- Correspondence: Shichun Du Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Kong Jiang Road 1665#, Shanghai, 200092, People’s Republic of China Email
| | - Qing Su
- Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai200092, People’s Republic of China
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Abstract
An etiologically based classification of diabetes is needed to account for the heterogeneity of type 1 and type 2 diabetes (T1D and T2D) and emerging forms of diabetes worldwide. It may be productive for both classification and clinical discovery to consider variant forms of diabetes as a spectrum. Maturity onset diabetes of youth and neonatal diabetes serve as models for etiologically defined, rare forms of diabetes in the spectrum. Ketosis-prone diabetes is a model for more complex forms, amenable to phenotypic dissection. Bioinformatic approaches such as clustering analyses of large datasets and multi-omics investigations of rare and atypical phenotypes are promising avenues to explore and define new subgroups of diabetes.
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Affiliation(s)
- Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, Texas 77030, USA;
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45
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Li J, Wang X, Chen J, Zuo X, Zhang H, Deng A. COVID-19 infection may cause ketosis and ketoacidosis. Diabetes Obes Metab 2020; 22:1935-1941. [PMID: 32314455 PMCID: PMC7264681 DOI: 10.1111/dom.14057] [Citation(s) in RCA: 347] [Impact Index Per Article: 86.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 04/11/2020] [Accepted: 04/15/2020] [Indexed: 12/15/2022]
Abstract
The present study included 658 hospitalized patients with confirmed COVID-19. Forty-two (6.4%) out of 658 patients presented with ketosis on admission with no obvious fever or diarrhoea. They had a median (interquartile range [IQR]) age of 47.0 (38.0-70.3) years, and 16 (38.1%) were men. Patients with ketosis were younger (median age 47.0 vs. 58.0 years; P = 0.003) and had a greater prevalence of fatigue (31.0% vs. 10.6%; P < 0.001), diabetes (35.7% vs. 18.5%; P = 0.007) and digestive disorders (31.0% vs. 12.0%; P < 0.001). They had a longer median (IQR) length of hospital stay (19.0 [12.8-33.3] vs. 16.0 [10.0-24.0] days; P < 0.001) and a higher mortality rate (21.4% vs. 8.9%; P = 0.017). Three (20.0%) out of the 15 patients with diabetic ketosis developed acidosis, five patients (26.7%) with diabetic ketosis died, and one of these (25.0%) presented with acidosis. Two (7.4%) and four (14.3%) of the 27 non-diabetic ketotic patients developed severe acidosis and died, respectively, and one (25.0%) of these presented with acidosis. This suggests that COVID-19 infection caused ketosis or ketoacidosis, and induced diabetic ketoacidosis for those with diabetes. Ketosis increased the length of hospital stay and mortality. Meanwhile, diabetes increased the length of hospital stay for patients with ketosis but had no effect on their mortality.
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Affiliation(s)
- Juyi Li
- Department of Pharmacy, Key Laboratory for Molecular Diagnosis of Hubei Province, Central Hospital of Wuhan, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan430021China
| | - Xiufang Wang
- Department of Pain, Central Hospital of Wuhan, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Jian Chen
- Department of Information, Central Hospital of Wuhan, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xiuran Zuo
- Department of Information, Central Hospital of Wuhan, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Hongmei Zhang
- Department of Endocriology, Central Hospital of Wuhan, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Aiping Deng
- Department of Pharmacy, Key Laboratory for Molecular Diagnosis of Hubei Province, Central Hospital of Wuhan, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan430021China
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46
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Bastin M, Andreelli F. [Corticosteroid-induced diabetes: Novelties in pathophysiology and management]. Rev Med Interne 2020; 41:607-616. [PMID: 32782164 DOI: 10.1016/j.revmed.2020.05.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 05/05/2020] [Accepted: 05/13/2020] [Indexed: 01/08/2023]
Abstract
Diabetes frequently occurs during corticosteroid treatment, sometimes necessitating urgent therapeutic management, with insulin for example. Corticosteroids induce insulin resistance in the liver, adipocytes and skeletal muscle, and have direct deleterious effects on insulin secretion. The development of insulin resistance during corticosteroid treatment, and the insufficient adaptation of insulin secretion, are key elements in the pathophysiology of corticosteroid-induced diabetes. The capacity of pancreatic β-cells to increase insulin secretion in response to insulin resistance is partly genetically determined. A familial history of type 2 diabetes is, therefore, a major risk factor for diabetes development on corticosteroid treatment. Corticosteroid treatments are usually initiated at a fairly high dose, which is subsequently decreased to the lowest level sufficient to achieve disease control. Pharmacological management of diabetes is needed in patients with blood glucose levels exceeding 2.16 g/l (12 mmol/l) and insulin therapy can be started when blood glucose levels are higher than 3.6 g/l (20 mmol/l) with clinical symptoms of diabetes. Insulin can then be replaced with oral hypoglycemic compounds when both blood glucose levels and corticosteroid dose have decreased. Patient education is essential, particularly for the management of hypoglycemia when corticosteroids are withdrawn or their dose tapered.
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Affiliation(s)
- M Bastin
- CHU Pitié-Salpêtrière, Service de diabétologie-métabolismes, Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - F Andreelli
- CHU Pitié-Salpêtrière, Service de diabétologie-métabolismes, Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France.
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47
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Sobngwi E, Ngo Ngai CGG, Etoga ME, Lontchi-Yimagou E, Mbanya A, Dehayem M, Mbanya JC. Use of capillary ketones monitoring in treatment of mild ketotic crisis in people with ketosis-prone atypical diabetes. J Investig Med 2020; 68:1193-1195. [PMID: 32665366 DOI: 10.1136/jim-2019-001267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2020] [Indexed: 11/04/2022]
Abstract
This study was carried out to assess the potential reduction in duration of intensive diabetic ketoacidosis treatment in adults with ketosis-prone atypical diabetes (KPD) when using capillary versus urinary ketones. In this cross-sectional study, we included 20 people with KPD presented at the National Obesity Center of the Yaoundé Central Hospital with hyperglycemic decompensation (random capillary glucose ≥13 mmol/L) and significant ketosis (ketonuria≥++) requiring intensive insulin treatment. In all subjects, intensive insulin treatment was initiated at 10 UI per hour with simultaneous measurement of capillary beta-hydroxybutyrate and ketonuria every 2 hours until disappearance of ketonuria. Time-to-disappearance of urine ketones was compared with the time-to-normalization of capillary β-hydroxybutyrate concentrations. Subjects were aged 46±13 years with a median duration of diabetes of 1.5 (IQR: 0-2.5) years. On admission, the mean blood glucose was 22.8±5 mmol/L and capillary ketones level was 2.9±2.7 mmol/L. The median time-to-disappearance of ketonuria was 5 (IQR: 3-8) hours compared with the time-to-normalization of capillary β-hydroxybutyrate of 4 (IQR: 2-6) hours, p=0.0002. The absolute difference in time-to-normalization of ketonuria versus ketonemia was 2 (IQR: 1-3) hours and the relative time reduction of treatment was 32.5%±18.0%. Our results suggested that the use of capillary ketones versus ketonuria would allow a significant reduction in duration of intensive insulin treatment by one third in people with KPD.
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Affiliation(s)
- Eugene Sobngwi
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Christine Ghislaine G Ngo Ngai
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Martine Etoa Etoga
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Eric Lontchi-Yimagou
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Armand Mbanya
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Mesmin Dehayem
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Jean-Claude Mbanya
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
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48
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Gudipaty L, Rosenfeld NK, Fuller CS, Cuchel M, Rickels MR. Different β-cell secretory phenotype in non-obese compared to obese early type 2 diabetes. Diabetes Metab Res Rev 2020; 36:e3295. [PMID: 32017362 PMCID: PMC7864552 DOI: 10.1002/dmrr.3295] [Citation(s) in RCA: 4] [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: 11/20/2019] [Revised: 01/21/2020] [Accepted: 01/26/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Type 2 diabetes (T2D) is characterized by impaired tissue sensitivity to insulin action (ie, insulin resistance) and impaired β-cell insulin secretion. Because obesity contributes importantly to the development of insulin resistance, we sought to determine whether insulin secretory defects would predominate in non-obese compared to obese T2D. METHODS We measured β-cell function and secretory capacity using the glucose-potentiated arginine test in T2D subjects early in the disease course classified as non-obese (BMI <30; n = 12) or obese (BMI ≥30 kg/m2 ; n = 28) and additionally compared responses from non-obese T2D with a non-diabetic control group (n = 12). RESULTS The acute insulin response to glucose potentiation of arginine-induced insulin release was less in non-obese T2D than in controls and associated with impaired β-cell sensitivity to glucose (PG50 ). Proinsulin secretory ratios were increased in non-obese T2D when compared to obese T2D. Obese T2D subjects had reduced insulin sensitivity (M/I) while non-obese T2D subjects had insulin sensitivity that was comparable to controls. CONCLUSIONS In non-obese T2D, insulin secretory defects predominate with impaired β-cell sensitivity to glucose and proinsulin processing in the absence of insulin resistance. Future studies should consider whether different β-cell secretory phenotypes and tissue sensitivity to insulin explain the varying responsiveness to T2D interventions.
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Affiliation(s)
- Lalitha Gudipaty
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Nora K. Rosenfeld
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Carissa S. Fuller
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Marina Cuchel
- Division of Translational Medicine and Human Genetics, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Michael R. Rickels
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
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49
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Zhu B, Lin Z, Chen X, Gusdon AM, Shen W, Chen J, Zheng L, Sun H, Li Y, Zhu C, Li J, Qu S. Circulating osteocalcin: A potential predictor of ketosis in type 2 diabetes. Diabetes Metab Res Rev 2020; 36:e3265. [PMID: 31850672 DOI: 10.1002/dmrr.3265] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 07/05/2019] [Accepted: 12/11/2019] [Indexed: 12/28/2022]
Abstract
AIMS Osteocalcin contributes to the regulation of endocrine system. However, the association between osteocalcin and ketosis has not been evaluated. We thus aimed to explore the relationship between total osteocalcin and risk of ketosis in type 2 diabetes (T2DM). MATERIALS AND METHODS We identified 6157 diabetes patients from Shanghai Tenth People's Hospital between 1 January 2011 and 1 March 2017. Six hundred eight subjects were enrolled in the retrospective cross-sectional study: 304 T2DM patients with ketosis whose age, gender, and body mass index were matched with 304 T2DM patients without ketosis. A further retrospective nested case-control study was conducted in 252 T2DM patients without ketosis for a mean duration of 21.58 ± 12.43 months to investigate the occurrence of ketosis. RESULTS Osteocalcin levels were negatively correlated with blood ketones (adjusted r = -0.263) and urine ketones (adjusted r = -0.183). The inverse dose-dependent relationship of osteocalcin and risk of ketosis was present across osteocalcin level quintiles (top quintile as the reference, adjusted odds ratio [95% CI] = 2.56 [0.80-8.17], 3.71 [0.90-15.29], 10.77 [2.63-44.15], 23.81 [4.32-131.17] per osteocalcin quintile, respectively). Ketosis occurred in 17 of the 252 T2DM patients during follow-up. The Cox regression analysis indicated that osteocalcin was an independent protective factor against development of ketosis (adjusted hazard ratio [95% CI]: 0.668 [0.460-0.971]). CONCLUSIONS Total osteocalcin can be used as a predictor of ketosis in T2DM.
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Affiliation(s)
- Bing Zhu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- National Metabolic Management Center, Shanghai, China
| | - Ziwei Lin
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- National Metabolic Management Center, Shanghai, China
| | - Xianying Chen
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Endocrinology, School of Medicine, Nanjing Medical University, Nanjing, China
| | - Aaron M Gusdon
- Division of Neurocritical Care, Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins Hospital, Baltimore, MD, USA
| | - Wenjun Shen
- Division of Endocrinology,Gerontology and Metabolism, Stanford University, Stanford, CA, USA
- Veterans Affairs Palo AltoHealth Care System, Palo Alto, CA, USA
| | - Jia Chen
- Department of Endocrinology, Beijing Jishuitan Hospital, 4th Medical College of Peking University, Beijing, China
| | - Liang Zheng
- Heart, Lung and Blood Vessel Center, Tongji University, Shanghai, China
| | - Hang Sun
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- National Metabolic Management Center, Shanghai, China
| | - Yan Li
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- National Metabolic Management Center, Shanghai, China
| | - Cuiling Zhu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- National Metabolic Management Center, Shanghai, China
| | - Jue Li
- Heart, Lung and Blood Vessel Center, Tongji University, Shanghai, China
| | - Shen Qu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- National Metabolic Management Center, Shanghai, China
- Department of Endocrinology, School of Medicine, Nanjing Medical University, Nanjing, China
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50
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Shi L, Zhou L, Liu J, Ding Y, Ye XH, Cheng JL. Risk Factors of Ketosis in Obese Ketosis-Prone Diabetic Patients: A Case-Control Study. Diabetes Ther 2020; 11:965-977. [PMID: 32170596 PMCID: PMC7136370 DOI: 10.1007/s13300-020-00800-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Indexed: 12/01/2022] Open
Abstract
INTRODUCTION Different types of ketosis-prone obese diabetic patients are seen in the clinic. At present, the mechanism responsible for ketosis onset in these patients remains unclear, and we do not know how these patients should be optimally treated to prevent recurrent ketosis. Therefore, this study aims to investigate risk factors of ketosis in obese ketosis-prone diabetic (OB-KPD) patients. METHODS In an observational case-control study, primary OB-KPD patients [body mass index (BMI) ≥ 28 kg/m2] were selected as the study group (OB-KPD group), and primary obese type 2 diabetes patients served as the control group (OB-T2DM group). Clinical diagnostic assessments of fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), blood lipid, area under curve of serum C-peptide (AUCC-P) after steamed bread meal, insulin sensitivity index (ISI), β-hydroxybutyric acid (β-HB) and free fatty acid (FFA) vlaues of the subjects were collected. Subjects in the OB-KPD group were followed up for 1 year to determine the likelihood of insulin therapy cessation and whether ketosis recurred by assessing clinical chemistry parameters at 1-year follow-up. RESULTS Seventy-five subjects were screened, of which 15 were not included in the study for several identified clinical reasons. On enrollment, the OB-KPD group displayed significantly higher FPG, HbA1c and FFA levels than the OB-T2DM group (p < 0.01), while AUCC-P and ISI values were significantly lower than in the OB-T2DM group (p < 0.01 and p = 0.03). Statistical analysis showed that increases in β-HB in the OB-KPD group were associated with increased blood glucose and FFA and decreased AUCC-P and ISI values. Furthermore, decreases in AUCC-P were closely associated with increased blood glucose values. CONCLUSION The occurrence of ketosis in ketosis-prone obese diabetic patients may be related to glucose and lipid metabolism disorders, increased insulin resistance and decreased β-cell secretory functions. TRIAL REGISTRATION This work was registered at the Chinese Clinical Trial Registry with trial registration identifier no. ChiCTR1900025909.
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Affiliation(s)
- Li Shi
- Department of Endocrinology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, 213164, Jiangsu, China.
- Department of Clinical Nutrition, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, 213164, Jiangsu, China.
| | - Liang Zhou
- Department of Endocrinology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, 213164, Jiangsu, China
| | - Juan Liu
- Changzhou Diabetes Institute, Changzhou, 213164, Jiangsu, China
| | - Yang Ding
- Department of Endocrinology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, 213164, Jiangsu, China
| | - Xin-Hua Ye
- Department of Endocrinology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, 213164, Jiangsu, China
| | - Jin-Luo Cheng
- Department of Endocrinology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, 213164, Jiangsu, China.
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