👤 Stephen Leach

Healthy aging is a complex process influenced by genetic, environmental, and lifestyle factors. Although prior genetic studies have identified loci associated with longevity, replication has often been limited by strong non-genetic influences. To investigate the genetic contributors to healthy aging, we performed a genome-wide association study (GWAS) and pathway analyses in 597 Super Seniors-individuals aged ≥ 85 years with no history of cancer, cardiovascular disease, diabetes, dementia, or major pulmonary disease-compared to 420 mid-life population-based controls that represent the population before selection for survival from age-related disorders. Candidate variant analyses confirmed known associations at the APOE locus, where APOE4 carriers had reduced odds of healthy aging (P = 0.0025), with stronger effects in females (P = 8.82 × 10⁻ Show less

Individuals with cancer often experience disrupted sleep, sedentary behavior, and reduced physical activity. This exploratory analysis examined the feasibility of continuous 24-h monitoring using wrist-worn accelerometers and characterized movement behaviors during a 12-week supervised resistance training program in individuals with cancer. We additionally aimed to evaluate whether daily movement behaviors (moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary time, and sleep) differed between exercise and non-exercise days. Thirty individuals with cancer wore Axivity accelerometers continuously while participating in supervised resistance training (2-3 sessions/week). Feasibility was assessed via wear-time compliance. Movement behaviors were analyzed descriptively across exercise and non-exercise days throughout the intervention. Participants demonstrated high adherence to continuous monitoring, with valid wear data on 70% of all days of the intervention. Within-person comparisons revealed significantly higher MVPA (+3.3 min) and LPA (+10.9 min) on exercise days. No significant changes were observed in sleep duration or sedentary time across the intervention or between exercise and non-exercise days. Continuous wrist-worn accelerometry is a feasible method for long-term behavioral monitoring in individuals with cancer. Supervised resistance training produced modest acute increases in physical activity but did not impact sleep or sedentary time. Show less

Despite the high mortality associated with angiosarcoma, its low prevalence has limited sample sizes in prior studies. To address these gaps, we analyzed the AACR Project GENIE registry, a large, multi-institutional database. 359 tumor samples from 346 patients with angiosarcoma were identified from the AACR Project GENIE v18.0-public database using cBioPortal. Somatic mutations and copy number alterations were assessed. Statistical significance was assessed by Recurrent mutations included In one of the largest genomic analyses of angiosarcoma to date, we identified recurrent alterations, suggesting potential future therapeutic targets. Show less

We conduct a large-scale meta-analysis of heart failure genome-wide association studies (GWAS) consisting of over 90,000 heart failure cases and more than 1 million control individuals of European ancestry to uncover novel genetic determinants for heart failure. Using the GWAS results and blood protein quantitative loci, we perform Mendelian randomization and colocalization analyses on human proteins to provide putative causal evidence for the role of druggable proteins in the genesis of heart failure. We identify 39 genome-wide significant heart failure risk variants, of which 18 are previously unreported. Using a combination of Mendelian randomization proteomics and genetic cis-only colocalization analyses, we identify 10 additional putatively causal genes for heart failure. Findings from GWAS and Mendelian randomization-proteomics identify seven (CAMK2D, PRKD1, PRKD3, MAPK3, TNFSF12, APOC3 and NAE1) proteins as potential targets for interventions to be used in primary prevention of heart failure. Show less

The melanocortin-4 receptor (MC4R) antagonistic peptide TCMCB07 was developed for the treatment of cachexia. The objectives of this study were to examine pharmacokinetics and safety of TCMCB07 administered subcutaneously to healthy dogs. Dogs were treated with high- (2.25 mg kg Show less

The majority of colorectal cancers show hyperactivated WNT signaling due to inactivating mutations in the adenomatous polyposis coli (APC) tumor suppressor. Genetically restoring APC suppresses WNT and induces rapid and sustained tumor regression, implying that reengaging this endogenous tumor-suppressive mechanism may be an effective therapeutic strategy. Here, using new animal models, human cell lines, and Show less

The ST-segment and adjacent T-wave (ST-T wave) amplitudes of the electrocardiogram are quantitative characteristics of cardiac repolarization. Repolarization abnormalities have been linked to ventricular arrhythmias and sudden cardiac death. We performed the first genome-wide association meta-analysis of ST-T-wave amplitudes in up to 37 977 individuals identifying 71 robust genotype-phenotype associations clustered within 28 independent loci. Fifty-four genes were prioritized as candidates underlying the phenotypes, including genes with established roles in the cardiac repolarization phase (SCN5A/SCN10A, KCND3, KCNB1, NOS1AP and HEY2) and others with as yet undefined cardiac function. These associations may provide insights in the spatiotemporal contribution of genetic variation influencing cardiac repolarization and provide novel leads for future functional follow-up. Show less

Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10(-8) to P = 10(-190)). We used functional genomic approaches including metabonomic profiling and gene expression analyses to identify probable candidate genes at these regions. We identified 69 candidate genes, including genes involved in biliary transport (ATP8B1 and ABCB11), glucose, carbohydrate and lipid metabolism (FADS1, FADS2, GCKR, JMJD1C, HNF1A, MLXIPL, PNPLA3, PPP1R3B, SLC2A2 and TRIB1), glycoprotein biosynthesis and cell surface glycobiology (ABO, ASGR1, FUT2, GPLD1 and ST3GAL4), inflammation and immunity (CD276, CDH6, GCKR, HNF1A, HPR, ITGA1, RORA and STAT4) and glutathione metabolism (GSTT1, GSTT2 and GGT), as well as several genes of uncertain or unknown function (including ABHD12, EFHD1, EFNA1, EPHA2, MICAL3 and ZNF827). Our results provide new insight into genetic mechanisms and pathways influencing markers of liver function. Show less

In the developing pancreas, the onset of exocrine differentiation is driven by the activity of the PTF1 (pancreas transcription factor 1) transcriptional complex, which is comprised of the class II bHLH (basic helix-loop-helix) protein, Ptf1-p48 [also known as Ptf1a (pancreas specific transcription factor 1a)], and a class I E-box binding partner. Activity of the PTF1 complex is normally inhibited by the Notch signalling pathway, a process mediated by Notch effector proteins in the HES (Hairy/Enhancer of Split) family of bHLH transcriptional repressors. In the present study, we show that this inhibitory effect occurs through direct interaction between HES family members and Ptf1-p48. The HES family members Hey1 (hairy/enhancer-of-split related with YRPW motif 1) and Hey2 co-immunoprecipitate with Ptf1-p48, and Ptf1-p48 binding by Hes1 is also evident in yeast two-hybrid and GST (glutathione S-transferase) pull-down assays. The ability of Hes1 to interact with Ptf1-p48 resides within a fragment comprised of the bHLH, Orange and C-terminal domains, and does not require the N-terminal or WRPW elements. The ability of truncated versions of Hes1 to bind Ptf1-p48 correlates with their ability to down-regulate the activity of the PTF1 transcriptional complex, defining Ptf1-p48 binding as the most likely mechanism by which Notch effector proteins delay exocrine pancreatic differentiation. Show less