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      Diagnostic pitfalls in a young adult with new diabetes

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          Abstract

          Summary

          A 20-year-old South Asian male presented with polyuria, polydipsia, HbA1c 81 mmol/mol, BMI 28.8 and family history of both type 1 and type 2 diabetes mellitus. As autoantibody testing was negative and c-peptide level demonstrated significant endogenous insulin secretion, type 1 diabetes was excluded. Given his age and family history, the differential diagnosis included maturity-onset diabetes of the young (MODY), a rare form of diabetes caused by a single-gene variant. A high probability of MODY was calculated and he was subsequently referred for genetic testing. Although a useful tool, the pre-test probability calculator for MODY is only validated in White Europeans. A heterogenous variant of unknown clinical significance of the NEUROD1 gene was detected, leading to gliclazide use with poor response. The patient responded well to metformin. Type 2 diabetes was considered the most likely diagnosis. This case highlights the diagnostic challenges in young patients of Asian ethnicity and the importance of interpreting genetic results of unknown significance within the clinical context. Ethnicity-specific BMI thresholds should be used when classifying patients as overweight or obese.

          Learning points
          • Variants of unknown significance detected by genetic sequencing should be interpreted within the context of the patient’s other clinical parameters.

          • It is important to use ethnicity-specific BMI thresholds for obesity.

          • Diagnosis of type 2 diabetes mellitus at younger ages is becoming increasingly common.

          • The pre-test probability calculator for MODY is only validated in White Europeans; although a useful guide, results should be interpreted with caution in patients of other ethnicities.

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          Most cited references10

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          The mutational constraint spectrum quantified from variation in 141,456 humans

          Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic consequences of gene disruption: genes that are crucial for the function of an organism will be depleted of such variants in natural populations, whereas non-essential genes will tolerate their accumulation. However, predicted loss-of-function variants are enriched for annotation errors, and tend to be found at extremely low frequencies, so their analysis requires careful variant annotation and very large sample sizes 1 . Here we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence predicted loss-of-function variants in this cohort after filtering for artefacts caused by sequencing and annotation errors. Using an improved model of human mutation rates, we classify human protein-coding genes along a spectrum that represents tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve the power of gene discovery for both common and rare diseases.
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            Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trends

            The rising burden of type 2 diabetes is a major concern in healthcare worldwide. This research aimed to analyze the global epidemiology of type 2 diabetes. We analyzed the incidence, prevalence, and burden of suffering of diabetes mellitus based on epidemiological data from the Global Burden of Disease (GBD) current dataset from the Institute of Health Metrics, Seattle. Global and regional trends from 1990 to 2017 of type 2 diabetes for all ages were compiled. Forecast estimates were obtained using the SPSS Time Series Modeler. In 2017, approximately 462 million individuals were affected by type 2 diabetes corresponding to 6.28% of the world’s population (4.4% of those aged 15–49 years, 15% of those aged 50–69, and 22% of those aged 70+), or a prevalence rate of 6059 cases per 100,000. Over 1 million deaths per year can be attributed to diabetes alone, making it the ninth leading cause of mortality. The burden of diabetes mellitus is rising globally, and at a much faster rate in developed regions, such as Western Europe. The gender distribution is equal, and the incidence peaks at around 55 years of age. Global prevalence of type 2 diabetes is projected to increase to 7079 individuals per 100,000 by 2030, reflecting a continued rise across all regions of the world. There are concerning trends of rising prevalence in lower-income countries. Urgent public health and clinical preventive measures are warranted.
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              Type 2 diabetes in adolescents and young adults

                Author and article information

                Journal
                Endocrinol Diabetes Metab Case Rep
                Endocrinol Diabetes Metab Case Rep
                EDM
                Endocrinology, Diabetes & Metabolism Case Reports
                Bioscientifica Ltd (Bristol )
                2052-0573
                12 October 2023
                01 October 2023
                : 2023
                : 4
                : 23-0024
                Affiliations
                [1 ]Diabetes Centre , Gartnavel General Hospital, Glasgow, UK
                [2 ]University of Glasgow , Glasgow, UK
                [3 ]West of Scotland Centre for Genomic Medicine , Glasgow, UK
                Author notes
                Correspondence should be addressed to N Below; Email: nataliebelow7@ 123456gmail.com
                Author information
                http://orcid.org/0000-0001-9203-3966
                Article
                EDM230024
                10.1530/EDM-23-0024
                10620446
                37855645
                9dbd21a2-30d9-4c5b-9534-854b53076710
                © the author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 17 February 2023
                : 20 September 2023
                Categories
                Adolescent/young adult
                Male
                Asian - other
                United Kingdom
                Pancreas
                Diabetes
                Genetics
                Error in Diagnosis/Pitfalls and Caveats
                Error in Diagnosis/Pitfalls and Caveats

                adolescent/young adult,male,asian - other,united kingdom,pancreas,diabetes,genetics,error in diagnosis/pitfalls and caveats,october,2023

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