BACKGROUND: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure. METHODS: Using resources from CRC consortia, including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score, including 141 variants associated with CRC risk. RESULTS: There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking (RERI = 0.24, 95% confidence interval [CI] = 0.13, 0.36), ever smoking (0.11 [0.05, 0.16]), high body mass index (female 0.09 [0.05, 0.13], male 0.10 [0.05, 0.14]), or high red meat intake (highest versus lowest quartile 0.18 [0.09, 0.27]) was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/nonsteroidal anti-inflammatory drugs use (-0.16 [-0.20, -0.11]) or higher intake of fruit, fiber, or calcium (highest quartile versus lowest quartile -0.12 [-0.18, -0.050]; -0.16 [-0.23, -0.09]; -0.11 [-0.18, -0.05], respectively) than those with average genetic susceptibility. CONCLUSIONS: Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention.

• MeSH
• Diet MeSH
• Adult MeSH
• Genetic Predisposition to Disease * MeSH
• Body Mass Index MeSH
• Gene-Environment Interaction * MeSH
• Polymorphism, Single Nucleotide MeSH
• Colorectal Neoplasms * genetics   epidemiology   MeSH
• Smoking adverse effects   MeSH
• Middle Aged MeSH
• Humans MeSH
• Logistic Models MeSH
• Alcohol Drinking MeSH
• Risk Factors MeSH
• Aged MeSH
• Case-Control Studies MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Cholestatic liver diseases are characterized by intrahepatic accumulation of bile acids (BAs), exacerbating liver inflammation, and fibrosis. Dimethyl fumarate (DMF) is a clinically approved anti-inflammatory drug that demonstrated protective effects in several experimental models of liver injury. Still, its effect on BA homeostasis and liver fibrosis has not been thoroughly studied. Herein, we hypothesized that DMF could improve BA homeostasis and mitigate the progression of cholestasis-induced liver fibrosis. The DMF was administered to mice with 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC)-induced cholestasis for 4 wk. The content of individual BAs in the plasma, liver, bile, intestine, and feces was measured using the LC-MS method alongside the analysis of liver phenotype and related executive and regulatory pathways. The DMF slowed down the progression of DDC-induced liver fibrosis by suppressing hepatic stellate cell and macrophage activation and by reducing c-Jun N-terminal kinase phosphorylation. Notably, DMF reduced BA cumulation in the plasma and liver of cholestatic mice by increasing BA fecal excretion via their reduced Bacteroidetes phyla-mediated deconjugation in the intestine. In addition, DMF was identified as the antagonist of the mouse farnesoid X receptor in enterocytes. In conclusion, DMF alleviates DDC-induced cholestatic liver injury through pleiotropic action leading to significant anti-inflammatory and antifibrotic activity of the agent. In addition, DMF mitigates BA retention in the liver and plasma by increasing their fecal excretion in cholestatic mice. These findings suggest that DMF warrants further investigation as a potential therapeutic agent for human chronic fibrosing cholestatic liver disorders.NEW & NOTEWORTHY Chronic cholestatic cholangiopathies present a therapeutic challenge due to their complex pathophysiology, where the accumulation of bile acids plays a crucial role. In this study, we found that dimethyl fumarate attenuated cholestatic liver damage in a murine model through its significant anti-inflammatory and antifibrotic activity supported by reduced bile acid accumulation in the plasma and liver via their increased fecal excretion.

• MeSH
• Cholestasis * drug therapy   metabolism   chemically induced   MeSH
• Dimethyl Fumarate * pharmacology   therapeutic use   MeSH
• Liver Cirrhosis * metabolism   drug therapy   pathology   etiology   MeSH
• Hepatic Stellate Cells drug effects   metabolism   MeSH
• Liver * metabolism   drug effects   pathology   MeSH
• Disease Models, Animal MeSH
• Mice, Inbred C57BL MeSH
• Mice MeSH
• Bile Acids and Salts * metabolism   MeSH
• Animals MeSH
• Check Tag
• Male MeSH
• Mice MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH

Ubiquinone (UQ), the only known electron carrier in the mammalian electron transport chain (ETC), preferentially delivers electrons to the terminal electron acceptor oxygen (O2). In hypoxia, ubiquinol (UQH2) diverts these electrons onto fumarate instead. Here, we identify rhodoquinone (RQ), an electron carrier detected in mitochondria purified from certain mouse and human tissues that preferentially delivers electrons to fumarate through the reversal of succinate dehydrogenase, independent of environmental O2 levels. The RQ/fumarate ETC is strictly present in vivo and is undetectable in cultured mammalian cells. Using genetic and pharmacologic tools that reprogram the ETC from the UQ/O2 to the RQ/fumarate pathway, we establish that these distinct ETCs support unique programs of mitochondrial function and that RQ confers protection upon hypoxia exposure in vitro and in vivo. Thus, in discovering the presence of RQ in mammals, we unveil a tractable therapeutic strategy that exploits flexibility in the ETC to ameliorate hypoxia-related conditions.

• MeSH
• Electrons MeSH
• Fumarates metabolism   MeSH
• Hypoxia metabolism   MeSH
• Oxygen metabolism   MeSH
• Humans MeSH
• Mitochondria * metabolism   MeSH
• Mice, Inbred C57BL MeSH
• Mice MeSH
• Succinate Dehydrogenase metabolism   MeSH
• Electron Transport MeSH
• Ubiquinone * metabolism   analogs & derivatives   MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Mice MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: Subtle, prognostically important ECG features may not be apparent to physicians. In the course of supervised machine learning, thousands of ECG features are identified. These are not limited to conventional ECG parameters and morphology. We aimed to investigate whether neural network-derived ECG features could be used to predict future cardiovascular disease and mortality and have phenotypic and genotypic associations. METHODS: We extracted 5120 neural network-derived ECG features from an artificial intelligence-enabled ECG model trained for 6 simple diagnoses and applied unsupervised machine learning to identify 3 phenogroups. Using the identified phenogroups, we externally validated our findings in 5 diverse cohorts from the United States, Brazil, and the United Kingdom. Data were collected between 2000 and 2023. RESULTS: In total, 1 808 584 patients were included in this study. In the derivation cohort, the 3 phenogroups had significantly different mortality profiles. After adjusting for known covariates, phenogroup B had a 20% increase in long-term mortality compared with phenogroup A (hazard ratio, 1.20 [95% CI, 1.17-1.23]; P<0.0001; phenogroup A mortality, 2.2%; phenogroup B mortality, 6.1%). In univariate analyses, we found phenogroup B had a significantly greater risk of mortality in all cohorts (log-rank P<0.01 in all 5 cohorts). Phenome-wide association study showed phenogroup B had a higher rate of future atrial fibrillation (odds ratio, 2.89; P<0.00001), ventricular tachycardia (odds ratio, 2.00; P<0.00001), ischemic heart disease (odds ratio, 1.44; P<0.00001), and cardiomyopathy (odds ratio, 2.04; P<0.00001). A single-trait genome-wide association study yielded 4 loci. SCN10A, SCN5A, and CAV1 have roles in cardiac conduction and arrhythmia. ARHGAP24 does not have a clear cardiac role and may be a novel target. CONCLUSIONS: Neural network-derived ECG features can be used to predict all-cause mortality and future cardiovascular diseases. We have identified biologically plausible and novel phenotypic and genotypic associations that describe mechanisms for the increased risk identified.

• MeSH
• Time Factors MeSH
• Electrocardiography * MeSH
• Phenotype * MeSH
• Risk Assessment MeSH
• Cardiovascular Diseases diagnosis   mortality   genetics   physiopathology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Neural Networks, Computer * MeSH
• Predictive Value of Tests * MeSH
• Prognosis MeSH
• Reproducibility of Results MeSH
• Risk Factors MeSH
• Aged MeSH
• Heart Rate MeSH
• Unsupervised Machine Learning MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Geographicals
• United States MeSH

BACKGROUND: Fuchs endothelial corneal dystrophy (FECD) is the most common repeat-mediated disease in humans. It exclusively affects corneal endothelial cells (CECs), with ≤81% of cases associated with an intronic TCF4 triplet repeat (CTG18.1). Here, we utilise optical genome mapping (OGM) to investigate CTG18.1 tissue-specific instability to gain mechanistic insights. METHODS: We applied OGM to a diverse range of genomic DNAs (gDNAs) from patients with FECD and controls (n = 43); CECs, leukocytes and fibroblasts. A bioinformatics pipeline was developed to robustly interrogate CTG18.1-spanning DNA molecules. All results were compared with conventional polymerase chain reaction-based fragment analysis. FINDINGS: Analysis of bio-samples revealed that expanded CTG18.1 alleles behave dynamically, regardless of cell-type origin. However, clusters of CTG18.1 molecules, encompassing ∼1800-11,900 repeats, were exclusively detected in diseased CECs from expansion-positive cases. Additionally, both progenitor allele size and age were found to influence the level of leukocyte-specific CTG18.1 instability. INTERPRETATION: OGM is a powerful tool for analysing somatic instability of repeat loci and reveals here the extreme levels of CTG18.1 instability occurring within diseased CECs underpinning FECD pathophysiology, opening up new therapeutic avenues for FECD. Furthermore, these findings highlight the broader translational utility of FECD as a model for developing therapeutic strategies for rarer diseases similarly attributed to somatically unstable repeats. FUNDING: UK Research and Innovation, Moorfields Eye Charity, Fight for Sight, Medical Research Council, NIHR BRC at Moorfields Eye Hospital and UCL Institute of Ophthalmology, Grantová Agentura České Republiky, Univerzita Karlova v Praze, the National Brain Appeal's Innovation Fund and Rosetrees Trust.

• MeSH
• Alleles MeSH
• Trinucleotide Repeat Expansion MeSH
• Fuchs' Endothelial Dystrophy * genetics   pathology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Chromosome Mapping MeSH
• Genomic Instability MeSH
• Organ Specificity genetics   MeSH
• Aged MeSH
• Transcription Factor 4 * genetics   metabolism   MeSH
• Trinucleotide Repeats genetics   MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Aging encompasses a wide array of detrimental effects that compromise physiological functions, elevate the risk of chronic diseases, and impair cognitive abilities. However, the precise underlying mechanisms, particularly the involvement of specific molecular regulatory proteins in the aging process, remain insufficiently understood. Emerging evidence indicates that c-Jun N-terminal kinase (JNK) serves as a potential regulator within the intricate molecular clock governing aging-related processes. JNK demonstrates the ability to diminish telomerase reverse transcriptase activity, elevate β-galactosidase activity, and induce telomere shortening, thereby contributing to immune system aging. Moreover, the circadian rhythm protein is implicated in JNK-mediated aging. Through this comprehensive review, we meticulously elucidate the intricate regulatory mechanisms orchestrated by JNK signaling in aging processes, offering unprecedented molecular insights with significant implications and highlighting potential therapeutic targets. We also explore the translational impact of targeting JNK signaling for interventions aimed at extending healthspan and promoting longevity.

• Publication type
• Journal Article MeSH
• Review MeSH

Liver fibrosis is characterized by the activation of perivascular hepatic stellate cells (HSCs), the release of fibrogenic nanosized extracellular vesicles (EVs), and increased HSC glycolysis. Nevertheless, how glycolysis in HSCs coordinates fibrosis amplification through tissue zone-specific pathways remains elusive. Here, we demonstrate that HSC-specific genetic inhibition of glycolysis reduced liver fibrosis. Moreover, spatial transcriptomics revealed a fibrosis-mediated up-regulation of EV-related pathways in the liver pericentral zone, which was abrogated by glycolysis genetic inhibition. Mechanistically, glycolysis in HSCs up-regulated the expression of EV-related genes such as Ras-related protein Rab-31 (RAB31) by enhancing histone 3 lysine 9 acetylation on the promoter region, which increased EV release. Functionally, these glycolysis-dependent EVs increased fibrotic gene expression in recipient HSC. Furthermore, EVs derived from glycolysis-deficient mice abrogated liver fibrosis amplification in contrast to glycolysis-competent mouse EVs. In summary, glycolysis in HSCs amplifies liver fibrosis by promoting fibrogenic EV release in the hepatic pericentral zone, which represents a potential therapeutic target.

• MeSH
• Extracellular Vesicles * metabolism   MeSH
• Glycolysis * MeSH
• Liver Cirrhosis * metabolism   pathology   genetics   MeSH
• Hepatic Stellate Cells * metabolism   pathology   MeSH
• Liver metabolism   pathology   MeSH
• Humans MeSH
• Disease Models, Animal MeSH
• Mice, Inbred C57BL MeSH
• Mice MeSH
• rab GTP-Binding Proteins metabolism   genetics   MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Mice MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH

Diffuse large B-cell lymphoma (DLBCL) stands out as the most common type of malignant cancer, representing the majority of cases of non-Hodgkin's lymphoma. Ethyl pyruvate (EP) is a derivative of pyruvic acid and found to have potent anti-tumor properties. Despite its potential benefits, the impact of EP on DLBCL remains ambiguous. Our objective is to elucidate the role of EP in modulating the development of DLBCL. Analysis of cholecystokinin-8 (CCK-8) revealed that treatment with EP significantly diminished the viability of DLBCL cells. Furthermore, EP administration suppressed colony formation and hindered cell adhesion and invasion in DLBCL cells. Examination of cell cycle progression showed that EP treatment induced arrest at the G1 phase and subsequently reduced the S phase population in DLBCL cells. EP treatment consistently exhibited apoptosis-inducing properties in Annexin-V assays, and notably downregulated the expression of Bcl-2 while increasing levels of proapoptotic cleaved caspase 3 and BAX in DLBCL cells. Additionally, EP treatment decreased the overexpression of c-Jun in c-Jun-transfected DLBCL cells. Further, EP demonstrated DNA-damaging effects in TUNEL assays. In vivo, xenograft animal models revealed that EP treatment significantly mitigated DLBCL tumor growth and suppressed DLBCL cell adhesion to bone marrow stromal cells. In summary, these findings suggest that EP mitigates DLBCL progression by inducing apoptosis, inducing cell cycle arrest, and promoting DNA damage.

• MeSH
• Apoptosis drug effects   MeSH
• Cell Adhesion * drug effects   MeSH
• Lymphoma, Large B-Cell, Diffuse * drug therapy   pathology   MeSH
• Humans MeSH
• Mice MeSH
• Cell Line, Tumor MeSH
• Cell Proliferation * drug effects   MeSH
• Proto-Oncogene Proteins c-jun metabolism   genetics   MeSH
• Pyruvates * pharmacology   therapeutic use   MeSH
• Xenograft Model Antitumor Assays MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Mice MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: Prostate cancer develops through malignant transformation of the prostate epithelium in a stepwise, mutation-driven process. Although activator protein-1 transcription factors such as JUN have been implicated as potential oncogenic drivers, the molecular programs contributing to prostate cancer progression are not fully understood. METHODS: We analyzed JUN expression in clinical prostate cancer samples across different stages and investigated its functional role in a Pten-deficient mouse model. We performed histopathological examinations, transcriptomic analyses and explored the senescence-associated secretory phenotype in the tumor microenvironment. RESULTS: Elevated JUN levels characterized early-stage prostate cancer and predicted improved survival in human and murine samples. Immune-phenotyping of Pten-deficient prostates revealed high accumulation of tumor-infiltrating leukocytes, particularly innate immune cells, neutrophils and macrophages as well as high levels of STAT3 activation and IL-1β production. Jun depletion in a Pten-deficient background prevented immune cell attraction which was accompanied by significant reduction of active STAT3 and IL-1β and accelerated prostate tumor growth. Comparative transcriptome profiling of prostate epithelial cells revealed a senescence-associated gene signature, upregulation of pro-inflammatory processes involved in immune cell attraction and of chemokines such as IL-1β, TNF-α, CCL3 and CCL8 in Pten-deficient prostates. Strikingly, JUN depletion reversed both the senescence-associated secretory phenotype and senescence-associated immune cell infiltration but had no impact on cell cycle arrest. As a result, JUN depletion in Pten-deficient prostates interfered with the senescence-associated immune clearance and accelerated tumor growth. CONCLUSIONS: Our results suggest that JUN acts as tumor-suppressor and decelerates the progression of prostate cancer by transcriptional regulation of senescence- and inflammation-associated genes. This study opens avenues for novel treatment strategies that could impede disease progression and improve patient outcomes.

• MeSH
• PTEN Phosphohydrolase * genetics   metabolism   MeSH
• Humans MeSH
• Disease Models, Animal MeSH
• Mice MeSH
• Cell Line, Tumor MeSH
• Tumor Microenvironment * immunology   MeSH
• Prostatic Neoplasms * pathology   genetics   metabolism   MeSH
• Disease Progression * MeSH
• Proto-Oncogene Proteins c-jun metabolism   MeSH
• Gene Expression Regulation, Neoplastic MeSH
• Senescence-Associated Secretory Phenotype MeSH
• Gene Expression Profiling MeSH
• Cellular Senescence genetics   MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Mice MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH

• MeSH
• Acute Coronary Syndrome * diagnosis   complications   prevention & control   therapy   MeSH
• Antihypertensive Agents administration & dosage   therapeutic use   MeSH
• Anticoagulants administration & dosage   therapeutic use   MeSH
• Biomarkers blood   MeSH
• Electrocardiography MeSH
• Fibrinolysis MeSH
• Myocardial Infarction diagnosis   complications   therapy   MeSH
• Platelet Aggregation Inhibitors administration & dosage   therapeutic use   MeSH
• Percutaneous Coronary Intervention methods   MeSH
• Humans MeSH
• Myocardial Revascularization methods   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Practice Guideline MeSH