Background: The cardiomyopathies, classically categorized as hypertrophic (HCM), dilated (DCM), and arrhythmogenic right ventricular (ARVC), each have a signature genetic theme. HCM and ARVC are largely understood as genetic diseases of sarcomere or desmosome proteins, respectively. In contrast, >250 genes spanning more than 10 gene ontologies have been implicated in DCM, representing a complex and diverse genetic architecture. To clarify this, a systematic curation of evidence to establish the relationship of genes with DCM was conducted. Methods: An international Panel with clinical and scientific expertise in DCM genetics evaluated evidence supporting monogenic relationships of genes with idiopathic DCM. The Panel utilized the ClinGen semi-quantitative gene-disease clinical validity classification framework with modifications for DCM genetics to classify genes into categories based on the strength of currently available evidence. Representation of DCM genes on clinically available genetic testing panels was evaluated. Results: Fifty-one genes with human genetic evidence were curated. Twelve genes (23%) from eight gene ontologies were classified as having definitive ( BAG3, DES, FLNC, LMNA, MYH7, PLN, RBM20, SCN5A, TNNC1, TNNT2, TTN ) or strong ( DSP ) evidence. Seven genes (14%) ( ACTC1, ACTN2, JPH2, NEXN, TNNI3, TPM1, VCL ) including two additional ontologies were classified as moderate evidence; these genes are likely to emerge as strong or definitive with additional evidence. Of these 19 genes, six were similarly classified for HCM and three for ARVC. Of the remaining 32 genes (63%), 25 (49%) had limited evidence, 4 (8%) were disputed, 2 (4%) had no disease relationship, and 1 (2%) was supported by animal model data only. Of 16 evaluated clinical genetic testing panels, most definitive genes were included, but panels also included numerous genes with minimal human evidence. Conclusions: In the curation of 51 genes, 19 had high evidence (12 definitive/strong; seven moderate). Notably, these 19 genes only explain a minority of cases, leaving the remainder of DCM genetic architecture incompletely addressed. Clinical genetic testing panels include most high evidence genes, however genes lacking robust evidence are also commonly included. We recommend that high evidence DCM genes be used for clinical practice and to exercise caution when interpreting variants in variable evidence DCM genes.

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We are facing a global epidemic of obesity and type 2 diabetes. Weight loss, in the context of obesity and type 2 diabetes, may improve glycaemic control and weight-related comorbidities, and in some cases, induce diabetes remission. Although lifestyle-based weight loss strategies may be initially successful, most are not effective long-term. There is an increasing need to consider pharmacological approaches to assist weight loss in diabetes-obesity. Older glucose-lowering agents may cause weight gain, whereas the newer drug classes, sodium-glucose co-transporter 2 inhibitors (SGLT2i) and glucagonlike peptide receptor agonists (GLP-1 RAs), concomitantly target weight loss and glycaemic control. Clinical trial data suggest that both SGLT2i and GLP1 RAs cause a mean weight loss of approximately 2 to 3 kg but real-world evidence and clinical experience suggests a significant heterogeneity in the magnitude of the weight loss (GLP-1 RAs) or the magnitude of the actual weight loss is significantly less than anticipated (SGLT2i).Why do some individuals lose more weight than others in response to these pharmacological treatments? This review will first explore mechanisms by which body weight is regulated through control of energy balance and its dysregulation in obesity, and then consider how these mechanisms may be modulated therapeutically with SGLT2i and GLP1 RAs. KEYWORDSGLP-1 receptor agonists, obesity, SGLT2 inhibitors, type 2 diabetes, weight loss | INTRODUCTIONObesity has a critical role in the development and progression of type 2 diabetes (T2DM). With the rising prevalence of obesity, the excess risk of T2DM with even modest weight gain is significant, increasing exponentially relative to body mass index (BMI), in men and women. 1,2 A BMI of 25 kg m −2 is associated with a 2-and 8-fold increased risk of T2DM in males and females, respectively; a BMI of 35 is associated with a 42-and 93-fold increased risk, respectively. 3The pathophysiology of T2DM is thought to be mediated by ectopic fat deposition (in visceral fat, skeletal muscle, liver, pancreatic β-cells, and other organs), as subcutaneous fat expansion becomes ---This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Background: The cardiomyopathies are classically categorized as hypertrophic (HCM), dilated (DCM), and arrhythmogenic right ventricular (ARVC), and each have a signature genetic theme. HCM and ARVC are largely understood as genetic diseases of sarcomere or desmosome proteins, respectively. In contrast, >250 genes spanning more than 10 gene ontologies have been implicated in DCM, representing a complex and diverse genetic architecture. To clarify this, a systematic curation of evidence to establish the relationship of genes with DCM was conducted. Methods: An international Panel with clinical and scientific expertise in DCM genetics was assembled to evaluate evidence supporting monogenic relationships of genes with idiopathic DCM. The Panel utilized the ClinGen semi-quantitative gene-disease clinical validity classification framework. Results: Fifty-one genes with human genetic evidence were curated. Twelve genes (23%) from eight gene ontologies were classified as having definitive (BAG3, DES, FLNC, LMNA, MYH7, PLN, RBM20, SCN5A, TNNC1, TNNT2, TTN) or strong (DSP) evidence. Seven genes (14%) (ACTC1, ACTN2, JPH2, NEXN, TNNI3, TPM1, VCL) including two additional ontologies were classified as moderate evidence; these genes are likely to emerge as strong or definitive with additional evidence. Of the 19 genes classified as definitive, strong or moderate, six were similarly classified for HCM and three for ARVC. Of the remaining 32 genes (63%), 25 (49%) had limited evidence, 4 (8%) were disputed, 2 (4%) had no disease relationship, and 1 (2%) was supported by animal model data only. Of 16 commercially available genetic testing panels evaluated, most definitive genes were included, but panels also included numerous genes with minimal human evidence. Conclusions: In a systematic curation of published evidence for genes considered relevant for monogenic DCM, 12 were classified as definitive or strong and seven as moderate evidence spanning 10 gene ontologies. Notably, these 19 genes only explain a minority of DCM cases, leaving the remainder of DCM genetic architecture incompletely addressed. While clinical genetic testing panels include most high evidence genes, genes lacking robust evidence are also commonly included. Until the genetic architecture of DCM is more fully defined, care should be taken in the interpretation of variable evidence DCM genes in clinical practice.

Background - Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited disease characterized by ventricular arrhythmias and progressive ventricular dysfunction. Genetic testing is recommended and a pathogenic variant in an ARVC-associated gene is a major criterion for diagnosis according to the 2010 Task Force Criteria (TFC). As incorrect attribution of a gene to ARVC can contribute to misdiagnosis, we assembled an international multidisciplinary ARVC ClinGen Gene Curation Expert Panel to reappraise all reported ARVC genes. Methods - Following a comprehensive literature search, six two-member teams conducted blinded independent curation of reported ARVC genes using the semi-quantitative ClinGen framework. Results - Of 26 reported ARVC genes, only six ( PKP2 , DSP , DSG2 , DSC2 , JUP , TMEM43 ) had strong evidence and were classified as definitive for ARVC causation. There was moderate evidence for two genes, DES and PLN . The remaining 18 genes had limited or no evidence. RYR2 was refuted as an ARVC gene since clinical data and model systems exhibited a catecholaminergic polymorphic ventricular tachycardia (CPVT) phenotype. In ClinVar, only 5 pathogenic / likely pathogenic (P/LP) variants (1.1%) in limited evidence genes had been reported in ARVC cases in contrast to 450 desmosome gene variants (97.4%). Conclusions - Using the ClinGen approach to gene-disease curation, only eight genes, ( PKP2 , DSP , DSG2 , DSC2 , JUP , TMEM43 , PLN , DES ) had definitive or moderate evidence for ARVC and these genes accounted for nearly all P/LP ARVC variants in ClinVar. Therefore, only P/LP variants in these eight genes should yield a major criterion for ARVC diagnosis. P/LP variants identified in other genes in a patient should prompt further phenotyping as variants in many of these genes are associated with other cardiovascular conditions.

Diagnostic delays negatively affect cardiac function. Of the predictive clinical features, carpal tunnel syndrome was frequent and its presence should lead to a more aggressive analysis for CAm in the appropriate clinical settings.

Inhibition of glucose transport in the kidney, to produce glucosuria and thus directly lower blood glucose seems a remarkably simple way to treat diabetes (type 1 or type 2). The development of sodium-glucose co-transporter-2 (SGLT2) inhibitors and their subsequent clinical development has on one hand shown this to be true, but at another level has helped reveal a complex web of interacting effects starting in the kidney and modulating multiple metabolic pathways in a variety of other organs. These underlie the now clear benefits of this class of drugs in the management of type 2 diabetes from glucose lowering, weight loss and blood pressure reduction through to the reductions in cardiovascular and renal complications observed in long-term outcomes trials. They also explain some of the adverse effects that have emerged, including the risk of diabetic ketoacidosis. This review describes the effects of SGLT2 inhibition in relation to this complex physiology, and shows how this can favourably alter the pathophysiology of type 2 diabetes.anti-diabetic drug, clinical physiology, type 2 diabetes, SGLT2 inhibitor 1 | INTRODUCTION Sodium glucose transporter 2 inhibitors (SGLT2i) are one of the newest classes of drugs available to lower glucose in people with type 2 diabetes, but their origins go back to the 19th century, when phlorizin, extracted from the bark of apple trees was shown to induce glucosuria. Phlorizin was later used experimentally as a tool to help understand renal glucose transport and the effects of glucose toxicity, as it could be used to lower blood glucose without directly affecting insulin secretion or sensitivity. 1 However its therapeutic potential was limited, due to poor oral bioavailability, and effects on gut glucose absorption that resulted in diarrhoea; phlorizin also has an active metabolite (phloretin) that inhibits the GLUT1 glucose transporter that is important for normal glucose transport in many tissues. 2 Research conducted in the last 20 years has now identified the specific mechanisms by which phlorizin is able to induce glucosuria and lower blood glucose, and led to the development of drugs that are highly selective inhibitors of renal (and/or gut) glucose transport. These drugs work by inhibiting the facilitative sodium glucose co-transporters (SGLTs) that are responsible for renal glucose reabsorption (predominantly SGLT2 with some contribution from SGLT1, which also has a major role in gut glucose absorption). 3 Despite early concerns about some adverse effects that occur as a result of glucosuria, the development of SGLTi (and potentially dual inhibitors of SGLT1 and SGLT2) has led to greater understanding of the fundamental physiological processes involved in glucose transport in the kidney and gastrointestinal (GI) tract. These medications have both predictable and surprising effects that underpin some of their observed therapeutic benefits and adverse effects. This review will focus on the underlying physiology and show how this is modified by pharmacological inhibition of SG...