Diabetes Research and Clinical Practice

Background Besides hyperglycemia, type 2 diabetes (T2D) is characterized by dyslipidemia, which is typically assessed using traditional clinical lipid measurements. However, molecular plasma lipids beyond these traditional markers can provide additional information about an individuals health status. For molecular lipids to be used effectively, certain characteristics, such as their temporal variability, need to be determined. Methods We analyzed the plasma lipidome for three consecutive time points, each three months apart, of 51 individuals with T2D using targeted liquid chromatography coupled to mass spectrometry (LC-MS). 513 lipid species across 25 (sub)classes were quantified by this approach and the temporal variability were calculated. Moreover, to identify sex differences in the plasma lipidome, we analyzed 914 samples of a cross-sectional T2D cohort with the same approach. Results Neutral lipids and phosphatidylserine had the highest temporal variability which was independent of their platform-specific variability. In contrast, glycosphingolipids were found to be relatively stable over time in individuals with T2D. Acyl-chain analysis revealed generally similar variability in the acyl-chain groups but indicated a higher temporal variability in medium-length acyl-chains. Lipid-sex association analysis showed markedly higher sphingomyelins, phosphatidylcholines, and phosphatidylethanolamines in women and higher acylcarnitines in men. Overall, approximately one-third of measured lipids showed significant sex differences independent of age, BMI, diabetes duration, glycemic control, and medication use. Conclusions Our findings provide insights into temporal variability of molecular lipids. This variability should be considered when assessing novel lipid biomarkers. Likewise, sex differences in these lipids need to be considered in precision medicine for diabetes management.

Background: Insulin resistance is a core pathophysiologic feature of metabolic disease, but its reference-standard assessment by steady-state plasma glucose (SSPG) testing is procedurally demanding and labor-intensive, limiting use in routine clinical care and large-scale research. Because OGTT glucose profiles are widely available, we aimed to develop a glucose-only metric to characterize dynamic glucose responses and estimate SSPG-measured insulin resistance. Methods: We developed the Width-Delay Index (WDI), a glucose-only OGTT metric integrating relative exposure width, delayed exposure timing, and glycemic floor. In a dataset of 32 subjects with 16-point venous OGTT profiles and paired SSPG measurements, WDI performance was assessed using leave-one-out cross-validation (LOOCV) for SSPG prediction, together with insulin-resistance discrimination and sparse-sampling robustness analyses. Results: The 15-120 min OGTT window yielded the strongest WDI performance. WDI15-120 predicted SSPG with LOOCV R2 = 0.57 (95% CI, 0.27-0.77), Pearson r = 0.77, and Spearman rho = 0.74. WDI15-120 showed higher predictive performance than standard OGTT glucose measures and insulin-derived indices, including HOMA-IR, Matsuda index, and disposition index. WDI15-120 also discriminated insulin-resistant from insulin-sensitive subjects with AUROC = 0.969. When recalculated from conventional 5-point OGTT sampling, WDI15-120 retained substantial performance, with LOOCV R2 = 0.41 and AUROC = 0.945. Conclusions: WDI provides a simple, glucose-only, physiologically interpretable approach for estimating SSPG-measured insulin resistance from OGTT glucose dynamics.

Background: Epidemiological evidence links type 2 diabetes (T2D) to an increased risk of dementia, including Alzheimers disease (AD). However, previous syntheses often combined heterogeneous diabetes and dementia definitions and have not comprehensively quantified AD incidence among individuals with T2D. We aimed to estimate both the incidence of AD among individuals with T2D and the association between T2D and AD using studies with well-defined T2D and AD outcomes. Methods: We systematically searched MEDLINE, CINAHL (via EBSCO), Embase (via Ovid), and Scopus from inception to April 2026 for studies investigating the incidence of AD among individuals with T2D or the association between T2D and AD. Data were pooled using random-effects models and presented as incidence rates and adjusted relative risks (RRs) with 95% confidence intervals (CIs). Results Of the 9,430 articles identified, 40 studies involving 27,102,559 participants were included. Twenty-three studies contributed incidence data, and 26 reported adjusted relative risks (aRR). The pooled incidence of AD among individuals with T2D was 4.71 per 1,000 person-years (95% CI 3.31, 6.71). T2D was associated with an increased risk of AD (aRR 1.53, 95% CI 1.38, 1.70). Subgroup findings were generally consistent, results were robust in sensitivity analyses, and no publication bias was detected. Conclusions: This study provides a comprehensive quantification of the AD burden associated with T2D by focusing on well-defined AD and T2D outcomes and advancing the field beyond prior broad dementia syntheses. Integrating incidence and relative risk estimates clarifies both the absolute and relative burden of AD in T2D and extends previous syntheses that primarily emphasised relative risk. Individuals with T2D experienced approximately five AD cases per 1,000 person-years and a 53% higher risk of AD, supporting the rationale for integrating cognitive risk prevention into diabetes care.

Background: Metformin is one of the most commonly prescribed medications for individuals with diabetes and may provide protection against long-term sequelae of COVID-19. Methods: We evaluated a retrospective cohort of individuals in the National Clinical Cohort Collaborative with type 2 diabetes mellitus and COVID-19 who were prescribed metformin or a dipeptidyl peptidase-4 inhibitor (DPP4i) at least 30 days before the onset of acute COVID-19 between October 1, 2021, and November 15, 2023. We compared the 12-month cumulative incidence of Long COVID diagnosis (ICD-10 U09.9: Post COVID-19 condition, unspecified), probable Long COVID (based on a model-derived phenotype), and mortality between individuals prescribed metformin vs. DPP4i. We applied Super Learner and targeted maximum likelihood estimation to obtain risk ratios while adjusting for covariates of interest. Results: In our sample of 53,332 individuals with type 2 diabetes and COVID-19, we found that metformin prescription was associated with a lower risk of all-cause mortality after COVID-19 (adjusted risk ratio [aRR] 0.61, 95% CI 0.51, 0.73). We also observed that metformin users, compared to DPP4i users, had a slightly lower risk of probable Long COVID (aRR 0.87, 95% CI 0.81, 0.94) but did not detect a significant relationship with Long COVID diagnosis (aRR 0.90, 95% CI 0.68, 1.20), although we observed similar point estimates across Long COVID outcomes. Conclusions: These findings support the hypothesis that metformin prescription during acute COVID-19 may be associated with lower mortality among adults with diabetes. These analyses also provide modest evidence of a protective association against Long COVID in adults with diabetes, although estimates were imprecise.

Importance: Higher coffee intake has been associated with lower risk of type 2 diabetes (T2D), but the underlying biological pathways remain incompletely understood. Objective: To examine associations of coffee intake with insulin sensitivity, adiposity, and T2D risk, and assess whether coffee intake modifies associations between pathway-specific genetic susceptibility and incident T2D. Design, Setting, and Participants: Cross-sectional analyses among 806 participants without T2D in the VITamin D and OmegA-3 TriaL (VITAL) clinical sub-cohort, who underwent repeated dietary assessment, clinical phenotyping, and dual-energy X-ray absorptiometry imaging at baseline and year-2. Prospective analyses among 333,053 UK Biobank participants without T2D at baseline who had dietary and genetic data and were followed for a median of 13.3 years. Exposures: Coffee intake assessed by food frequency questionnaires. In UK Biobank, 12 pathway-specific polygenic scores (pPS) representing distinct T2D pathophysiological mechanisms were evaluated. Main Outcomes and Measures: The primary outcomes, in VITAL, were HbA1c, oral glucose tolerance test-derived measures of glucose response and insulin sensitivity, beta-cell function, and overall, truncal, and visceral adiposity; in UK Biobank, was incident T2D. Results: In VITAL, higher coffee intake was associated with higher insulin sensitivity (standardized beta; per cup/day, 0.046; P = .004) and lower visceral adipose tissue mass (beta -0.047; P = .006), after adjusting for demographic, lifestyle, and clinical factors, including body mass index. In UK Biobank, higher coffee intake was associated with lower T2D incidence (hazard ratio per cup/day, 0.96; 95% CI, 0.95-0.97), lower triglyceride-to-HDL cholesterol ratio (beta: -0.01; P = 2.51 x 10-19), and lower visceral adipose tissue mass (beta: -0.01; P = 4.28 x 10-9). Associations of 3 pPS related to insulin resistance and fat distribution with incident T2D were attenuated among participants consuming higher amount of coffee than among non-consumers (P for interaction < .0043). Conclusions and Relevance: Higher coffee intake was associated with greater insulin sensitivity, lower visceral adiposity, and lower risk of T2D. Together with the attenuation of associations between pathway-specific genetic susceptibility and T2D risk among higher coffee consumers, these findings suggest that insulin resistance and visceral adiposity-related pathways may contribute to the association between coffee intake and T2D risk.

Introduction: Multimorbidity clusters have been associated with increased dementia risk. While lifestyle factors may modify dementia risk, their role in multimorbidity clusters remains unclear. Method: Data from UK Biobank was used to identify clusters of chronic conditions using latent class analysis, assess their associations with dementia risk using Cox regression, and potential moderating effects of lifestyle factors. Results: We included 465,175 participants (mean age (SD) = 56.52 (8.01), 53.87 % female). Five clusters were identified and significantly associated with increased dementia risk, with the cardiometabolic (HR = 2.14, p < 0.001) and mental health cluster (HR =1.99, p < 0.001) exhibiting the highest risk. Only moderate physical activity lowered dementia risk in the pain-dominated multimorbidity cluster (HR = 0.77, p = 0.039). Discussion: Lifestyle factors including physical activity may protect against dementia in specific multimorbidity clusters. Future research involving objective and multiple lifestyle measures is needed.

Background: Age is the most important risk factor for coronary artery disease (CAD) independent of traditional risk factors. Aging induces classic pro-inflammatory and prothrombotic vascular phenotypic changes whose molecular mediators remain poorly understood. Medin is a common cleavage product protein that accumulates in vasculature with aging and shown to cause endothelial dysfunction. Its role in CAD is unknown. The study aimed to evaluate the effects of medin on human coronary artery endothelial cell (HCAEC) pro-inflammatory and prothrombotic activation and establish the relationship between medin and coronary atherosclerosis in human decedents. Methods: HCAECs were exposed to physiologic dose of medin (5 M) for 20 hours and ribonucleic acid sequencing (RNAseq) with signaling pathway analyses and reverse transcription polymerase chain reaction of select pro-inflammatory and prothrombotic genes performed. Corresponding protein expression was measured by Western blot or enzyme linked immunosorbent assay in HCAECs exposed to medin (5 M) without or with nuclear factor-{kappa}B (NF{kappa}B) inhibitor RO106-9920 (10 M). Coronary arteries from 40 deceased individuals underwent immunohistochemistry and medin and plaque burden were quantified and their relationship evaluated. Results: RNAseq showed predominant pro-inflammatory gene expression changes induced by medin. HCAECs treated with medin showed increased phosphorylated NF{kappa}B, elevated protein expression of interleukin (IL)-6, IL-8, monocyte chemotactic protein (MCP)-1, intercellular adhesion molecule (ICAM)-1, vascular cell adhesion molecule (VCAM)-1 and plasminogen activator inhibitor (PAI)-1 and reduced protein expression of thrombomodulin; these changes were reversed by RO106-9920 co-treatment. In human tissues, coronary artery medin strongly correlated with plaque burden (R=0.76, p<0.0001) and coronary macrophage content (R=0.72, p<0.0001). Coronary arteries from decedents with myocardial infarction had higher medin than those without (5.53{+/-}2.67% versus 0.02{+/-}0.02%, p=0.0005). Conclusions: Medin induced NF{kappa}B-mediated endothelial cell pro-inflammatory and prothrombotic activation and was strongly associated with coronary plaque burden and inflammation. Medin is a novel candidate mediator linking aging and coronary atherosclerosis.

Abstract Introduction Chronic kidney disease (CKD) in adult patients with type 2 diabetus mellitus (T2DM) is a serious public health challenge and continues to be a major source of morbidity and mortality in Sub-Saharan Africa (SSA). The burden of CKD among T2DM patients in SSA has been documented in several studies, but the results remain heterogeneous, and there is limited comprehensive data on its overall prevalence and factors associated with the diseases. Therefore, this study aimed to estimate the pooled prevalence of CKD and assess its associated factors among adult patients with T2DM in SSA. Methods This systematic review and meta-analysis was conducted and reported according to PRISMA 2020 guidelines, and the study protocol was registered in PROSPERO (CRD420261411707). A comprehensive search of relevant studies was conducted from PubMed, Google Scholar, Scopus, Cochrane Library, and EMBASE published between January 2000 and December 2025 in SSA. Data were analyzed using Stata version 17. A random-effects model was used to estimate the pooled prevalence of CKD among adults with T2DM patients. Heterogeneity was assessed using Cochranes Q and I{superscript 2} statistics with visual inspection through forest and Galbraith plots. Publication bias was evaluated using a funnel plot and Eggers test. Subgroup and sensitivity analyses were also performed. Results Out of the 3702 study participants from 16 included studies, the estimated pooled prevalence of CKD among adult T2DM patients in SSA was 35.8% (95% CI: 27.1-44.4), indicating significant heterogeneity (I{superscript 2}=97.25%, p<0.001) across the studies. Subgroup analyses on the pooled prevalence of CKD on the basis of different diagnostic criteria were conducted. Modification of diet in renal disease (MDRD) reported a prevalence of 34% (26, 43), the chronic kidney diseases epidemiology collaboration (CKD-EPI) reported a prevalence of 39% (21, 57), and the Cockcroft-Gault (CG) method reported a prevalence of 34% (12, 56). In addition, older age (OR = 2.27, 95% CI: 1.19-4.33) and longer diabetes duration (OR = 1.90, 95% CI: 1.07-3.40) were factors significantly associated with the prevalence of CKD. Conclusion The prevalence of CKD in SSA was high, affecting nearly one in three adults with T2DM patients. In addition, factors such as older age and longer diabetes duration significantly contributed to the association with CKD. To lessen this issue, focused public health actions are strongly advised, such as screening, education, and awareness campaigns. Systematic review registrations PROSPERO (2026: CRD420261411707).

Sedentary behavior promotes chronic low-grade inflammation in adipose tissue, contributing to metabolic dysfunction and insulin resistance. High-intensity interval training (HIIT) is a time-efficient exercise strategy with potent anti-inflammatory and metabolic benefits; however, its effects on adipose tissue inflammatory signaling and microRNA (miRNA) regulation remain incompletely understood. This study investigated the effects of eight weeks of HIIT on inflammatory and epigenetic markers in interscapular white adipose tissue (iWAT) of male Wistar rats. Fourteen rats were randomly assigned to either a sedentary (SED; n = 7) or HIIT (n = 7) group. The HIIT protocol consisted of treadmill running five days per week for eight weeks. Body weight and iWAT mass were assessed, and molecular adaptations were evaluated at multiple regulatory levels using RT-qPCR for mRNA targets (NLRP3, TNF-, PPAR-{gamma}, and IL-10) and miRNAs (miR-21 and miR-30d-5p), while protein levels of NLRP3 and PPAR-{gamma} were assessed using Western blotting. Compared with the SED group, HIIT significantly reduced body weight (p < 0.001) and iWAT mass (p = 0.002). Furthermore, HIIT downregulated the expression of pro-inflammatory mediators, including NLRP3 (gene: p = 0.001; protein: p < 0.001) and TNF- (p = 0.025), while upregulating anti-inflammatory regulators PPAR-{gamma} (gene: p = 0.026; protein: p = 0.020) and IL-10 (p = 0.010). In parallel, inflammation-associated miRNAs, including miR-21 (p = 0.004) and miR-30d-5p (p = 0.002), were markedly downregulated. These coordinated transcriptional, post-transcriptional, and translational adaptations suggest that HIIT attenuates adipose tissue inflammation and promotes a favorable immunometabolic phenotype through integrated molecular and epigenetic mechanisms.

Background: Depressive and anxiety symptoms are prevalent among older adults and associated with increased dementia risk. In healthy older adults, higher step counts are associated with fewer depressive and anxiety symptoms; whether this holds in individuals with cognitive concerns (subjective cognitive decline [SCD] or mild cognitive impairment [MCI]) is unknown. In a randomised controlled trial, the 12-month APPLE-Tree group psychosocial lifestyle intervention produced small cognitive improvements but no change in step count. Objective: To test whether step count was associated with depressive and anxiety symptoms (cross-sectionally and over 24 months), and whether APPLE-Tree increased step count in participants with clinical anxiety or depression. Methods: We examined cross-sectional and longitudinal (12- and 24-month) associations between step count (two-week average from wrist-worn wearables) and depressive and anxiety symptoms (Hospital Anxiety and Depression Scale) using adjusted linear regressions, with a mediation analysis of self-perceived mobility. We also tested whether the intervention increased step count in those with baseline clinical anxiety or depression. Findings: We included 629 of 746 trial participants at baseline, of whom 376 contributed 12-month and 215 24-month data. At baseline, higher step counts were associated with fewer depressive symptoms ({beta} = -0.11, 95% CI -0.17 to -0.05, p < 0.001) but, counter to our hypothesis, more anxiety symptoms ({beta} = 0.12, 95% CI 0.06 to 0.19, p = 0.003). Over two years, change in step count was not associated with change in depressive or anxiety symptoms (all p [&ge;] 0.12). Self-perceived mobility problems mediated the association between step count and depressive but not anxiety symptoms. The intervention did not change step count in those with clinical anxiety or depression. Conclusions: This provides the first evidence in older adults with cognitive concerns that higher step counts are associated with fewer depressive but more anxiety symptoms. This may reflect heterogeneity of a population that includes those with prodromal dementia and cognitive health anxiety. Step count did not predict symptoms over time. Clinical implication: Step count may help distinguish anxiety and depressive symptoms in people presenting with cognitive concerns, or underlying reasons for cognitive concerns among those with functional cognitive disorders.

The intermittent energy restriction (iER) represents an effective dietary strategy for improving metabolic diseases including metabolic dysfunction-associated steatotic liver disease (MASLD) and type 2 diabetes mellitus (T2DM), yet the underlying mechanisms remain elusive. In this study, we integrated human clinical data, mouse models, and in vitro experiments to investigate the role of iER in modulating the gut-liver axis in comorbid MASLD and T2DM. We demonstrate that an iER diet improves hyperglycemia, hepatic steatosis and decreases the abundance of gut pathogen Klebsiella pneumoniae, which is strongly associated with reductions in blood endotoxin, lipopolysaccharide (LPS) levels, suggesting a potential role of K. pneumoniae-derived LPS in mediating effects of the iER on hepatometabolic improvements. We confirm that K. pneumoniae-derived LPS exacerbates lipid accumulation and inflammation using an in vitro model. Mechanistically, we reveal a core target of protein lysine acetylation (Kac), hydroxyacyl-CoA dehydrogenase -subunit (HADHA) Lys353 in the liver of db/db mice through a multi-omics analysis. The iER decreases HADHA-K353 acetylation and enhances its enzyme activity. A Kac-mimicking mutation (K353R) increases its enzyme activity and stability, blocks its binding to the inflammasome adaptor ASC, and alleviates lipid accumulation and inflammation in K. pneumoniae-derived LPS induced in vitro model. This study provides novel insights into the potential benefits of the iER in comorbid MASLD and T2DM.

Aim: Inequalities in diabetic foot ulcer (DFU) outcomes are driven by several factors including sociodemographic factors. This study examined the intersectional risks of ethnicity, sex, and deprivation on DFU progression, which prior research often evaluated in isolation. Methods: A retrospective cohort study (2009 - 2024) of 2,125 patients at Lancashire Teaching Hospitals Trust utilized flexible parametric survival modelling. Models assessed DFU onset, overall mortality, and post-clinic prognostic survival, adjusting for demographics and comorbidities. Results: The most deprived patients presented significantly younger (median 64 vs. 73 years). Male sex accelerated DFU onset (HR: 1.24) and increased overall mortality risk (HR: 1.14). Black patients presented older with higher comorbidity burdens but paradoxically exhibited lower overall mortality risk (HR: 0.49). Deprivation heavily impacted life expectancy as the most deprived group showed higher mortality rates (HR: 0.73) and reduced 5-year prognostic survival (48.7% vs. 59.1%). Presence of comorbidities linearly increased overall mortality risk. Furthermore, severe deprivation caused greater overall life-years lost in men (4.0) than women (2.5). Conclusions: Patient outcomes with DFU are heavily influenced by cumulative demographic and socioeconomic factors. Effective management requires accessible, holistic care that actively accommodates these complex biosocial-economic realities.

Abstract Background: The influence of taurine on biological ageing remains unclear, particularly whether it acts as a causal driver or a functional biomarker. We aimed to disentangle the distinct roles of plasma taurine relative abundance, dietary taurine supply, and genetic metabolic capacity on all-cause mortality and unhealthy ageing. Methods: This prospective study used data from the Korean Genome and Epidemiology Study (2001~2022). A subcohort of 2,321 participants (mean age 56.5 years; 51.4% female) with complete metabolomic, dietary, and genomic data was analyzed. Three independent pathways were evaluated: (1) plasma taurine/total amino acid (AA) ratio, (2) dietary taurine to protein ratio, and (3) a weighted genetic risk score (GRS) from 21 SNPs in taurine biosynthesis and transport genes. Primary outcomes were all-cause mortality and unhealthy ageing (Physiological Healthy Ageing Index [PHAI] score [&le;] 25th percentile). Results: A higher plasma taurine/total AA ratio was consistently associated with improved ageing outcomes. Participants in the highest quartile showed 29% lower all-cause mortality (Hazard Ratio [HR], 0.71; 95% Confidence Interval [CI], 0.52-0.98; P for trend = .04) and lower risk of PHAI-based unhealthy ageing (HR, 0.77; 95% CI, 0.59-1.00; P for trend = .04) versus the lowest quartile. Dietary taurine-to-protein ratio was not associated with mortality (P for trend = .70), nor was the GRS (P for trend = .74). Conclusions: The protective association of taurine was linked to its relative abundance within the systemic amino acid pool, rather than dietary intake or genetic predisposition, supporting taurine as a functional biomarker of metabolic efficiency rather than a deterministic causal driver of ageing.

Older adults in residential care are usually described as a group at high risk of undernutrition, yet data on the nutritional and cardiometabolic status of institutionalised older adults in Central Asia are scarce. We aimed to characterise the anthropometric, dietary and biochemical profile of older residents of a state social-care institution in Kazakhstan and to examine whether overnutrition, micronutrient inadequacy and cardiometabolic risk coexist. In this cross-sectional study, 62 adults aged 60 years and over from the "Sharapat" centre in Astana underwent anthropometry, bioelectrical impedance body-composition analysis, blood-pressure measurement, dietary assessment (specialized nutrition questionnaires, a 24-hour dietary recall and food diaries) with calculation of nutrient intakes, and venous blood and urine testing; serum 25-hydroxyvitamin D and trace elements were measured in 29 participants. Laboratory analyses and data processing were performed at the Research Institute of Preventive Medicine named after E.D. Dalenov, Astana Medical University. The sample (61.3% men; mean age 74.0 years) showed a high cardiometabolic burden, with arterial hypertension in 63%, total cholesterol of at least 5.0 mmol/L in 60%, LDL-cholesterol of at least 3.0 mmol/L in 71%, and overweight or obesity in 58%, whereas only 5% were underweight. Habitual diets were high in sodium (71% above 2000 mg/day) and low in potassium (92% below 3500 mg/day), calcium (85% below 1000 mg/day) and fibre (90% below 25 g/day). Among those tested, 79% had vitamin D deficiency, and overweight or obesity coexisted with vitamin D deficiency in 16 of 29 participants. None of 56 exploratory diet-risk correlations survived correction for multiple testing. Rather than the undernutrition typical of residential care, these residents displayed a double burden of malnutrition-excess adiposity and cardiometabolic risk alongside micronutrient-poor diets and widespread vitamin D deficiency-identifying concrete targets for institutional catering, supplementation and cardiometabolic screening.

Background: Genome-wide polygenic risk scores (PRSs) for coronary artery disease (CAD) aggregate genetic effects across the genome and may obscure biologically distinct mechanisms. We aimed to develop cell-type-specific PRSs (csPRSs) using single-cell RNA sequencing (scRNA-seq) data and investigate their interactions with lipids on CAD risk. Methods: Using publicly available scRNA-seq data from human heart tissue, we identified cell-type-specific genes across 13 major cell types and 64 subpopulations and grouped them into 10 cell clusters. Variants from a CAD genome-wide association study (GWAS) were mapped to cluster-specific genes to construct csPRSs for European-ancestry participants from the UK Biobank (UKB). Interactions between csPRSs and lipid-related phenotypes were evaluated using Cox proportional hazards models and stratified analyses, with significant findings further assessed in an internal validation dataset. Results: Distinct interaction patterns with lipid phenotypes were observed across csPRSs. Low-density lipoprotein (LDL)-related lipid traits, including apolipoprotein B (ApoB), low-density lipoprotein cholesterol (LDL-C), and total cholesterol (cholesterol), primarily interacted with adipocytes (Adip), whereas high-density lipoprotein (HDL) traits interacted with endothelial-mesothelial (EC-Meso), fibroblast (FB), and immune-cell csPRSs. Notably, interactions for Adip csPRSs were replicated in internal validation analyses. Conclusions: Cell-type-specific decomposition of genome-wide PRSs for CAD identified biologically distinct lipid interactions that were not captured by the genome-wide PRS. Adipocyte genetic factors may influence how LDL lipids affect CAD risk. These findings highlight the potential of cell-type-informed PRSs to improve the biological interpretation of PRSs and provide insights into the heterogeneous mechanisms underlying CAD.

Cystic fibrosis (CF) is characterized by defective CFTR-mediated chloride transport, resulting in elevated sweat chloride concentrations. As people with CF (PwCF) now live longer due to highly effective CFTR modulators, exercise has become integral to maintaining health, yet it introduces additional physiological demands on salt and fluid balance. In this study, we used a wearable microfluidic biosensor (CF Patch) to quantify sweat rate and chloride loss during exercise performed both in the supervised laboratory and remote free-living in PwCF and healthy volunteers (HV). Participants completed exercise sessions under both conditions, with continuous heart rate monitoring and sweat collection with real-time measurement of sweat characteristics. Sweat volume and chloride concentration were assessed by colorimetric image analysis, enabling estimation of total fluid and chloride loss at the end of each exercise session. PwCF exercised for a longer duration at a lower average heart rate during remote exercise compared to laboratory exercise though exercise volume (average heart rate x duration) was greater during remote exercise. There was a positive association between exercise volume and both fluid and chloride loss for both PwCF and HV. PwCF exhibited greater chloride loss for a given exercise volume compared to HV, though fluid loss was similar. Further, compared to HV, PwCF demonstrated significantly greater intra- and interindividual variability in sweat chloride loss across the remote exercise sessions. Collectively, these findings provide evidence for the feasibility and physiological validity of remote exercise assessment and establish the feasibility and physiological validity of wearable sweat sensing for remote monitoring of fluid and electrolyte dynamics during real-world exercise. In addition, the variability of chloride loss in response to exercise suggests utility of the CF Patch in providing personalized fluid and salt repletion data for PwCF and advances the translational potential of digital sweat diagnostics for personalized CF care.

Relatively little is known regarding suicide among older adults in nursing homes. The aim of this study was to compare the incidence of suicide among older nursing home residents (NHR) with community-dwelling older people (CDP) using newly available, national, individual-level register data, and to assess differences with regard to socio-demographic characteristics. We obtained data on all older adults aged 65+ who were living in Austria at the end of October 2018 (n=1,665,450), including 155,020 NHR. Death by suicide was followed until the end of 2023. A total of 114 and 2,136 suicides were observed among NHR and CDP; corresponding to cumulative incidences of 14 and 27 per 100,000, respectively. Among NHR, suicide incidence was higher among males (28.0, 95% CI=22.1, 35.5), those aged 65-74 years (20.2, 95% CI=13.3, 30.6), with tertiary education (23.3, 95% CI=10.6, 50.6), divorced (25.0, 95% CI=16.2, 38.5), and residing in urban nursing homes (22.0, 95% CI=17.0, 28.4). Compared to CDP, more suicides in NHR occurred by poisoning and but few by firearms. In conclusion, we found that suicide incidence was lower among older NHR compared to CDP. More research on and preventive efforts against suicide among older NHR are needed.

Niemann-Pick disease type C (NPC) is a rare autosomal recessive neurodegenerative lysosomal storage disease caused by pathogenic variants in NPC1 or NPC2. Sudden death can occur due to seizures, but cardiac involvement has not been well defined. We performed 12-lead electrocardiograms (ECG) in 14 adult NPC patients (8 male, 6 female). Cardiac structure and function were examined in Npc1-/- adult mouse hearts, alongside wild-type controls. Glycosphingolipid accumulation was quantified by high-performance liquid chromatography, fibrosis and collagen deposition were quantified using Massons Trichrome (M&T) and Picrosirius Red (PR) staining. Whole-heart morphology, including chamber size and wall thickness, was assessed. Ex vivo ECG recordings assessed conduction abnormalities and arrhythmias. RNA-seq transcriptomics characterised molecular pathways altered in Npc1-/- hearts. 8/14 patients showed ECG abnormalities including abnormal QRS transitions (N=8), increased QRS amplitude (N=4), fascicular block (N=2), and abnormal T wave inversion (N=1). 13 patients also had transthoracic echocardiograms identifying mildly impaired LV systolic function (N=2) and increased wall thickness/LV mass (N=4). In Npc1-/- mice, age-related glycosphingolipid accumulation was associated with pronounced ventricular fibrotic remodelling. There was a significant increase in stained connective tissue area and connective tissue to cardiac tissue ratio in both MT and PR staining. ECG from Langendorff-perfused Npc1-/- hearts showed QT prolongation and atrioventricular conduction abnormalities under isoprenaline stress. Transcriptomics revealed major changes in Npc1-/- hearts, consistent with histological fibrosis and linking NPC to inflammation-driven remodelling and arrhythmogenesis. These findings support routine cardiac screening in NPC patients and highlight the need for further studies to improve management and treatment.

We examined whether polygenic risk for peripheral artery disease (PAD) is associated with severity among patients undergoing lower extremity revascularization at Yale New Haven Hospital. Patients were classified into European (EUR) and non-European (non-EUR) ancestry groups. Associations between the 19-variant polygenic score (PGS) and nine severity indicators were evaluated using linear and Cox regression models stratified by ancestry, followed by meta-analysis. Significant findings (p < 0.05) were assessed for replication in the UK Biobank (UKB). After quality control, 68 EUR and 59 non-EUR patients were included. In EUR patients, higher PGS was associated with increased risk for stroke (HR = 2.43, 95% CI 1.06-5.57). Meta-analysis revealed a significant association between higher PGS and younger age at surgery ({beta} = -2.90, SE = 1.28), which was replicated in the UKB ({beta} = -0.58, SE = 0.15). These results suggest genetic risk contributes to PAD severity.

Background: Elevated C-Reactive Protein (CRP), interleukin-6 (IL-6) and testosterone deficiency are associated with advanced age and chronic inflammatory diseases; while normal testosterone levels have been shown to decrease inflammation through several mechanisms. Cross-sectional studies have shown an inverse relationship between CRP, IL-6 and total testosterone (TT) levels, yet mixed findings have been reported when individual components of metabolic syndrome are considered. We evaluated the relationship between CRP, IL-6 and TT levels in men from 2004-2018 using the Baltimore Longitudinal Study of Aging to determine if low testosterone status is associated with a high inflammatory profile. Methods: Participants were selected from the Baltimore Longitudinal Study of Aging. Male participants with serum TT level measured during at least three visits were included in our cohort. Common measures of inflammatory disease such as CRP, High-Density Lipoprotein (HDL) and Triglyceride levels were collected via blood specimens. Comorbidity data were documented at each visit. Panel regression was used to analyze the relationship of a series of independent variables collected in pooled cross-sectional observations over time with a dependent variable for modeling. Results: A total of 347 patients were included in this study (median age = 70, IQR = 18, average follow up time = 6.7 +/- 3.2 years). Participants had a median CRP level of 1.0 mg/dL, median IL-6 level of 3.6, a median TT level of 446 ng/dL. On univariable analysis, increasing TT and HDL levels were associated with a decline in CRP, while high Body Mass Index (BMI), congestive heart failure (CHF), Diabetes, and increased serum triglycerides were associated with increased CRP. Age was not associated with CRP. On multivariable analysis, we found that increasing TT level was associated with a decline in CRP levels, independent of comorbidities (p = 0.018; Table 1). As expected, increased BMI was associated with a significant increase in CRP (p = 0.001, Table 1). Age, CHF, Diabetes, HDL, and Triglycerides were not significant predictors of CRP on multivariable analysis. Similarly, on multivariable analysis, increasing TT levels were independently associated with lower IL-6 levels. Higher HDL cholesterol levels were also associated with lower IL-6 levels, whereas increasing age was associated with higher IL-6 levels. BMI, CHF, diabetes, and triglycerides were not significant predictors of IL-6. Conclusions: Lower levels of serum total testosterone are associated with an increase in CRP in older men over time, independent of chronic inflammatory disease. Given the importance of CRP in pathogenesis of chronic disease, we highlight the potential benefits of using total testosterone as a biomarker of chronic inflammatory states.