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Mahogunin ring finger 1 (MGRN1) is a membrane-tethered E3 ligase that fine-tunes signaling sensitivity by targeting surface receptors for ubiquitylation and degradation. Although MGRN1 is known to regulate the Hedgehog signaling effector Smoothened (SMO) via the transmembrane adapter multiple epidermal growth factor-like 8 (MEGF8), the broader scope of its regulatory network has been speculative. Here, we identify attractin (ATRN) and attractin-like 1 (ATRNL1) as additional transmembrane adapters that recruit MGRN1 and regulate cell surface receptor turnover. Through co-immunoprecipitation, we show that ATRN interacts with the RING domain of MGRN1. Functional assays suggest that ATRN and ATRNL1 work with MGRN1 to promote the ubiquitylation and degradation of the melanocortin receptors MC1R and MC4R, in a process analogous to its regulation of SMO. Loss of MGRN1 or ATRN leads to increased surface and ciliary localization of MC4R in fibroblasts and elevated MC1R levels in melanocytes, resulting in enhanced eumelanin production. These findings expand the known repertoire of MGRN1-regulated receptors and provide new insight into a shared mechanism by which membrane-tethered E3 ligases utilize transmembrane adapters to facilitate substrate receptor specificity. Show less

Triple-negative breast cancer (TNBC) is a highly aggressive subtype with a poor prognosis and lacks effective targeted therapies. Six-transmembrane epithelial antigen of prostate 3(STEAP3) is specifically overexpressed in TNBC, but its precise role and molecular mechanisms remain unclear. Here, we show that STEAP3 is positively correlated with proliferation markers in TNBC, but not in non-TNBC. Further assays revealed that STEAP3 significantly enhances TNBC cell proliferation, invasion, and metastasis Show less

Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease without effective medications. This study integrated genetic, proteomic, and metabolomic data to identify causation between increased triglyceride (TG)-rich lipoproteins and AAA risk. Three hypertriglyceridemia mouse models were employed to test the hypothesis that increased plasma TG concentrations accelerate AAA development and rupture. In the angiotensin II-infusion AAA model, most Show less

To evaluate a pathological condition on a skeleton from medieval Veneto (Italy). A male skeleton (T97), aged 35-50 years, from the Early Medieval phase of an archaeological site in the Venetian Lagoon, was examined and radiocarbon dated to Cal 954-1052 CE. The skeletal remains were examined by anthropological methods, by radiographic imaging, full skeletal CT scans, and histological examination. A differential diagnosis was conducted following established protocols. A total of 129 osteochondromas were observed. Both types were evident: sessile and pedunculated. Osteochondromas were evident in most bones of the appendicular skeleton; the skull, vertebrae and ribs remained unaffected. Short stature and forearm deformity were also observed. The differential diagnosis identifies these pathological findings as manifestations of an advanced form of multiple osteochondromas (MO). The significance of this diagnosis lies in its ability to shed light on the natural progression of MO, particularly in the absence of modern surgical interventions. Additionally, it highlights the survival and adaptation of an individual with disabilities within a medieval society. To achieve a definitive confirmation of this diagnosis, genetic testing would be essential. The discovery of only one individual with this condition among 181 analyzed in the context prevents further broader conclusions. Genetic Analysis to confirm the diagnosis of MO and investigate potential genetic mutations, such as those in the EXT1 and EXT2 genes. Show less

Atherosclerosis is an active interaction between lipoproteins and inflammatory cells. Monocytes and macrophages are the most important immune cells involved in the process of atherosclerosis. They interact with atherogenic lipoproteins, in particular low density lipoprotein (LDL) cholesterol and lipoprotein(a) (Lp(a)). The increased concentration of the LDL cholesterol and Lp(a) accelerates the polarization of monocytes and macrophages toward proinflammatory phenotype and the formation of the foam cells. These cells then release large quantities of inflammatory cytokines that stimulate the oxidation of atherogenic lipoproteins that are even more atherogenic and contribute to the formation of foam cells and the secretion of the pro-inflammatory cytokines, thus creating a vicious circle. Surface marker C-C chemokine receptor type 2, expressed on monocytes/macrophages, enables their adhesion and migration into the subendothelial layer. The rupture of the atherosclerotic plaque on one hand, and the ability of the oxidized LDL cholesterol and Lp(a) to trigger arterial thrombosis by different mechanisms on the other hand, result in acute cardiovascular event. Here, we summarize the role of the monocytes and macrophages in atherosclerosis and explore the influence of LDL cholesterol and Lp(a) on monocytes and macrophages during the entire process of atherosclerosis, from its initiation to progression. Show less

Familial hypercholesterolemia (FH) is a genetic disorder characterized by elevated low-density lipoprotein cholesterol (LDL-C) levels from birth, significantly increasing the risk of premature cardiac events and mortality. In Pakistan, despite the potential burden of FH, comprehensive studies evaluating its genetic characteristics, cascade screening significance, and lipoprotein (a) [Lp(a)] levels remain scarce. Understanding these factors is crucial for effective diagnosis, risk assessment, and management of FH in the Pakistani population. After the identification of index case with clinical homozygous FH, characterized by high LDL-C and high Lp(a) levels together with a positive personal and family history of cardiovascular disease, a cascade screening of 66 relatives from a consanguineous family was performed. Blood samples were obtained from all subjects for biochemical and genetic analysis. Simon Broome criteria was applied on children for clinical FH diagnosis. Dutch Lipid Clinic Network scores were calculated for individuals aged ≥16years. Genetic screening was performed using next-generation sequencing to analyse all coding regions and exon-intron borders of the following genes: ALMS1, APOA1, APOB, APOA5, APOC2, APOC3, APOE, ABCA1, ABCG5, ABCG8, CREB3L3, GPIHBP1, LDLR, LDLRAP1, LIPA, LMF1, LPL, and PCSK9. The identified variants were confirmed using Sanger sequencing. Cascade screening identified seven homozygous and 25 heterozygous FH patients with pathogenic variant in the LDLR gene (NM₀₀₀₅₂₇.5: c.2416dupG: p. Val806GlyfsTer11). Additionally, heterozygous variants of uncertain significance were identified in 4 other subjects. This study underscores the high effectiveness of cascade screening in consanguineous families and societies that could lead to early detection and prevention. Show less

Diabetic foot ulcers (DFUs) are one of the most common and serious complications of diabetes. The objective of the study is to identify key genes and cellular mechanisms driving DFU pathogenesis and healing using multi-omics integration. We used differential expression analysis and weighted co-expression network analysis (WGCNA) to identify key genes in DFU. We constructed protein-protein interaction (PPI) networks through STRING and Cytoscape. Support vector machine-recursive feature elimination (SVM-RFE) was used to screen out potential diagnostic biomarkers. Single-cell transcriptomic analysis detected differences in the cellular landscape, and intercellular communication analysis deciphered the key intercellular signaling pathway. We first found 388 differentially expressed genes that are closely related to DFU (fold change > 2 and WGCNA-derived module significantly correlated with DFU, R = 0.78). We further constructed a PPI network and identified 15 hub genes and 10 diagnostic biomarkers (including FGF7) for DFU. FGF7 is lowly expressed in DFU and enriched in stromal cells and fibroblasts in DFU, and participates in the immune microenvironment of DFU. FGF7-FGFR1 is the main pathway for intercellular communication involving fibroblasts and stromal cells in the healing process of DFU. These results provide an in-depth understanding of the multifactorial mechanisms underlying DFU progression and healing, offering a theoretical basis for optimizing clinical treatment. Show less

Inflammatory breast cancer (IBC) is a rare and clinically distinct form of breast cancer associated with poor outcomes. The biological mechanisms driving IBC remain poorly understood, partly due to limited large-scale genomic studies that directly compare IBC with non-IBC cases. We conducted a retrospective analysis of 140 patients with IBC (68 primary tumors and 72 metastatic tumors) and 2,317 patients with non-IBC (700 primary tumors, 65 local recurrences, and 1,552 metastases). We compared clinicopathologic features, single-nucleotide variants, copy-number variants, tumor mutational burden, and exploratory survival outcomes between IBC and non-IBC tumors. The most frequent somatic alterations in IBC were detected in TP53 (72%), ERBB2 (32%), PIK3CA (24%), CCND1 (12%), MYC (9%), FGFR1 (8%), and GATA3 (8%). Multivariate logistic regression revealed a significant enrichment of TP53 single-nucleotide variants in IBC, particularly in HER2+ and hormone receptor-positive disease. Tumor mutational burden did not differ between IBC and non-IBC cases. In HER2+ disease, a pathway analysis revealed an enrichment of NOTCH pathway alterations. TP53, CCND1, and RB1 alterations were associated with poor outcomes in IBC. This study provides a comprehensive resource of somatic alterations in a large cohort of patients with metastatic IBC and non-IBC, highlighting genomic features associated with worse outcomes. Our findings reveal a significant enrichment of TP53 mutations, reinforcing its critical role in IBC pathogenesis. Few other distinct differences in IBC were observed, suggesting further investigations-beyond bulk sequencing of the somatic genome-are required to better understand the biology driving this aggressive disease. Show less

Familial hypercholesterolemia (FH) is a genetic disorder characterized by elevated low-density lipoprotein cholesterol (LDL-C) levels, leading to premature cardiovascular disease (CVD). This study aimed to identify genetic variants associated with FH in patients from Telangana State, India. Probands with suspected FH were identified using the Dutch Lipid Clinic Network (DLCN) score, followed by cascade screening of their first-degree relatives. Targeted exome sequencing and pedigree analysis were performed to identify FH-associated genetic variants. We identified both novel and known high-impact mutations in genes implicated in FH pathogenesis, including stop-gain mutations in LPL (6/30; 20%) and LDLR (4/30; 13.3%), as well as splice donor site mutations in SLCO1B1 (1/30; 3.3%) and CETP (3/30; 10%). Notably, a novel frameshift mutation in LDLR was identified in two siblings (2/30; 6.7%), one of whom (50%) exhibited a homozygous variant and met the "Definite FH" classification based on the DLCN criteria. Additionally, moderate-impact variants rs2075291 (APOA5) and rs193922571 (LDLR) showed strong correlations with the DLCN score, suggesting increased susceptibility to FH. In contrast, rs6756629 (ABCG5) and rs11887534 (ABCG8) were strongly negatively correlated with LDL-C levels and the DLCN score, indicating potential protective effects against FH. These findings highlight the genetic heterogeneity of FH and emphasize the importance of identifying novel pathogenic variants. Moreover, the study underscores the role of moderate-impact variants in FH susceptibility. Overall, this research enhances our understanding of the genetic landscape of FH in the Indian population, with implications for improved diagnosis, risk assessment, and personalized management. Show less

Surufatinib is a novel, China-developed small-molecule tyrosine kinase inhibitor that demonstrates high selectivity for VEGFR, FGFR1, and CSF1R. Surufatinib has been approved for the treatment of neuroendcrine tumors, including pancreatic neuroendocrine tumors (PNEN) and non-pancreatic neuroendocrine tumors (N-pNEN). The purpose of this retrospective study is to assess Surufatinib's safety and effectiveness in patients with various advanced solid malignancies. The general clinical statistics and follow-up data of patients treated with Surufatinib for advanced solid tumors at Zhejiang Provincial People's Hospital between January 2021 and April 2024 were gathered. Enhanced CT was used to assess the effectiveness during that time, and cases side effects were gathered. Survival rates of different diseases were analyzed using the Kaplan-Meier method. A total of 28 eligible patients were enrolled in this study. At the end of follow-up, treatment with Surufatinib resulted in the following outcomes: Complete response (CR) in 0 cases (0.0%), Partial response (PR) in 5 cases (17.9%), Stable disease (SD) in 7 cases (25.0%), and Progressive disease (PD) in 16 cases (57.1%). Objective response rate (ORR) and Disease control rate (DCR) were 17.9% and 42.9%, respectively. In the PNEN group, ORR was 33.3%, DCR was 66.7%, median progression-free survival (mPFS) was 11 months, while median overall survival (mOS) was 17 months. In the N-pNEN group, ORR was 14.3%, DCR was 42.3%, mPFS was 6 months and mOS was 7 months. ORR was 8.3%, DCR was 25%, mPFS was 2 months, and mOS was 2 months. The most common adverse reactions included hypoproteinemia, proteinuria, bone marrow suppression and gastrointestinal toxicity, and which of them were grade 1 to grade 2. In advanced solid tumors beyond PNEN, Surufatinib demonstrates clinically meaningful survival benefits for patients refractory to standard therapies, with a generally manageable safety profile. Show less

Glucagon-like peptide-1 (GLP-1) is a hormone known for its critical functions in managing blood sugar and offering cardiovascular benefits. Our study focuses on Glucagon Like Peptide 1 Receptor (GLP1R) agonists that act beyond glycemic control in cardiovascular and metabolic health. A comprehensive bioinformatic analysis was conducted, incorporating GLP1R, Gastric Inhibitory Polypeptide Receptor (GIPR), Gastric Inhibitory Polypeptide (GIP) and glucagon receptor (GCGR) to assess the effects of GLP1R agonists on gene and metabolite interactions. Interaction network analysis revealed 130 common genes among GLP1R, GLP1R/GIPR, GLP1R/GIP, and GLP1R/GIPR/GCGR associated with diabetes-related processes, including obesity and hyperglycemia. Enriched terms related to cardiovascular diseases, such as hypertension, calcium regulation in cardiac cells, and amino acid accumulation-induced mTOR activation. We also observed enrichment in gene sets linked to longevity and less recognized terms like fatty liver disease. In GLP1R/GIP, behavior-related terms and gastric acid secretion were identified; GLP1R/GIPR/GCGR linked to fibrosarcoma, thought/speech disturbances, and adipogenesis. The metabolite-gene layer revealed enrichment in galactose metabolism, platelet homeostasis, and nitric-oxide pathways. We found that GLP1R agonists network-level associations are stronger with heart diseases than sodium-glucose co-transporter 2 inhibitors, suggesting greater therapeutic benefits. Integrating networks with metabolites highlighted key interactors and clarified GLP1R agonists' mechanisms and therapeutic potential. Show less

The genetic basis of hypertriglyceridemia (HTG) is complex and includes variants in lipase maturation factor 1 (LMF1), an endoplasmic reticulum (ER)-chaperone involved in the post-translational activation of lipoprotein lipase (LPL). The objective of this study was to identify and functionally characterize biallelic LMF1 variants in patients with HTG. Genomic DNA sequencing was used to identify biallelic LMF1 variants in HTG patients without deleterious variants in LPL, apolipoprotein C-II (APOC2), glycosylphosphatidylinositol-anchored high-density lipoprotein binding protein 1 (GPIHBP1) or apolipoprotein A-V (APOA5). LMF1 variants were functionally evaluated by in silico analyses and assessing their impact on LPL activity, LMF1 protein expression, and specific activity in transiently transfected HEK293 cells. We identified four homozygous LMF1 variants in patients with severe HTG: two novel rare variants (p.Asn147Lys and p.Pro246Arg) and two low-frequency variants (p.Arg354Trp and p.Arg364Gln) previously reported at heterozygosity. We demonstrate that all four variants reduce the secretion of enzymatically active LPL by impairing the specific activity of LMF1, whereas p.Asn147Lys also diminishes LMF1 protein expression. This study extends the role of LMF1 as a genetic determinant in severe HTG and demonstrates that rare and low-frequency LMF1 variants can underlie this condition through distinct molecular mechanisms. The clinical phenotype of patients affected by partial loss of LMF1 function is consistent with multifactorial chylomicronemia syndrome (MCS) and suggests that secondary factors and additional genetic determinants contribute to HTG in these subjects. Show less

A 50-year-old man with a triglyceride (TG) level of 11,397 mg/dL was admitted to our hospital. He consumed a high-fat and high-carbohydrate diet as well as more than 100 g of alcohol per day. He had type 2 diabetes and obesity and had previously suffered from severe acute pancreatitis twice. A genetic analysis revealed compound heterozygous mutations in APOA5 (c.56C>G and c.553G>T). In addition to low-fat meals and alcohol cessation, administration of pemafibrate lowered his triglyceride levels to <150 mg/dL. Show less

Lipolysis in white adipose tissue (WAT) provides fatty acids as energy substrates for thermogenesis to increase energy expenditure. Syndecan-4 (Sdc4) is a transmembrane proteoglycan bearing heparan sulfate chains. Although single nucleotide polymorphisms (SNPs) of the Sdc4 gene have been identified linking to metabolic syndromes, its specific function in adipose tissue remains obscure. Here, we show that Sdc4 serves as a regulator of lipid metabolism and adaptive thermogenesis. Sdc4 expression and shedding are elevated in the white adipose tissue (WAT) of diet-induced obese mice. Adipocyte-specific deletion of Sdc4 promotes lipolysis and WAT browning, thereby raising whole-body energy expenditure to protect against diet-induced obesity. Mechanistically, fibroblast growth factor 2 (FGF2) is a paracrine factor that maintains energy homeostasis. Elevated shed Sdc4 concentrates and delivers FGF2 to fibroblast growth factor receptor 1 (FGFR1) on adipocytes, which in turn suppresses lipolysis by reducing hormone-sensitive lipase (HSL) activity, thus exaggerating adipose tissue dysfunction upon high-fat diet induction. Sdc4-deficient adipocytes show higher lipolytic and thermogenic capacity by enhancing HSL phosphorylation and UCP1 expression. Overall, our study reveals that adipocyte-derived shed Sdc4 is a novel suppressor of lipolysis, contributing to decreased energy expenditure, thus exaggerating obesity. Targeting shed Sdc4 is a potential therapeutic strategy for obesity. Show less

This study aims to investigate the in vitro mechanisms underlying the beneficial effects of puerarin on hepatic insulin resistance(IR) based on the carbohydrate response element-binding protein(ChREBP)/peroxisome proliferator-activated receptor(PPAR)α/PPARγ axis involved in glucose and lipid metabolism. An IR-HepG2 cell model was established by treating cells with dexamethasone for 48 h, and the cells were then treated with 10, 20, and 40 μmol·L~(-1) puerarin for 24 h. Glucose levels and output in the extracellular fluid were measured by the glucose oxidase method, while cell viability was assessed by the cell counting kit-8(CCK-8) assay. The adenosine triphosphate(ATP) content and glycogen synthesis were evaluated through chemiluminescence and periodic acid-Schiff staining, respectively. Western blot was employed to quantify the protein levels of forkhead box protein O1(FoxO1), phosphorylated forkhead box protein O1 [p-FoxO1(Ser256)], glucagon, phosphofructokinase, liver type(PFKL), pyruvate kinase L-R(PKLR), pyruvate dehydrogenase complex 1(PDHA1), insulin receptor substrate 2(IRS2), phosphatidylinositol 3-kinase p85(PI3KR1), phosphorylated protein kinase B [p-Akt(Thr308)], glycogen synthase(GYS), glycogen phosphorylase, liver type(PYGL), adiponectin(ADPN), ChREBP, PPARα, and PPARγ. Additionally, the protein levels of acetyl-CoA carboxylase 1(ACC1), phosphorylated ATP citrate lyase [p-ACLY(Ser455)], sterol regulatory element binding protein 1c(SREBP-1c), peroxisome proliferator-activated receptor gamma coactivator 1α(PGC1α), carnitine palmitoyltransferase 1α(CPT1α), and glucagon receptor(GCGR) were also determined. Immunofluorescence was employed to visualize the expression and nuclear location of ChREBP/PPARα/PPARγ. Furthermore, quantitative PCR with the antagonists GW6471 and GW9662 was employed to assess Pparα, Pparγ, and Chrebp. The findings indicated that puerarin effectively reduced both the glucose level and glucose output in the extracellular fluid of IR-HepG2 cells without obvious effect on the cell viability, and it increased intracellular glycogen and ATP levels. Puerarin down-regulated the protein levels of FoxO1 and glucagon while up-regulating the protein levels of p-FoxO1(Ser256), PFKL, PKLR, PDHA1, IRS2, PI3KR1, p-Akt(Thr308), GYS, PYGL, ADPN, ACC1, SREBP-1c, p-ACLY(Ser455), PGC1α, CPT1α, and GCGR in IR-HepG2 cells. Furthermore, puerarin up-regulated both the mRNA and protein levels of ChREBP, PPARα, and PPARγ and promoted the translocation into the nucleus. GW6471 was observed to down-regulate the expression of Pparα while up-regulating the expression of Chrebp and Pparγ. GW9662 down-regulated the expression of Pparγ while up-regulating the expression of Pparα, with no significant effect on Chrebp. In summary, puerarin activated the hepatic ChREBP/PPARα/PPARγ axis, thereby coordinating the glucose and lipid metabolism, promoting the conversion of glucose to lipids to exert the blood glucose-lowering effect. Show less

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver condition globally, driven by strong genetic and environmental components. This review summarizes recent advances in understanding the genetic architecture of MASLD. Genome-wide association studies (GWAS) have identified several key risk variants, primarily in genes such as Show less

Pheochromocytoma and paraganglioma (together PPGL) are tumours with a high degree of heritability. Genetic landscape is divided into three clusters, cluster 1 (Krebs/pseudohypoxia signalling pathway), cluster 2 (kinase signalling pathway) and cluster 3 (Wnt signalling pathway). With increasing knowledge in the field of genetics, cluster-specific tumour characteristics, biochemical phenotype and imaging signatures are established in commonly found genes. The association of FGFR1 pathogenic mutations with PPGL have been recently described although its features are not yet well established. Here, we present four patients with PPGL who were found to have somatic FGFR1 pathogenic mutations. We discuss their clinical presentations, biochemical phenotypes, imaging signatures and treatment options that will be relevant for practicing physicians in managing these patients effectively. Show less

The primary aim of this study is to explore distinct patterns of post-traumatic growth (PTG) and fear of cancer progression (FOP) among breast cancer patients through latent profile analysis (LPA). Additionally, we assessed the differences in demographic and disease-related factors among breast cancer patients with varying patterns. Finally, we examined the influence of socio-demographic, disease-related, social support, anxiety, depression, and post-traumatic stress disorder (PTSD) factors on the varying patterns, aiming to assist healthcare providers in developing more effective psychological care strategies for breast cancer patients. A questionnaire survey was conducted on 752 breast cancer patients. Latent profile analysis was employed to explore the patterns of post-traumatic growth and fear of cancer progression in these patients, and multiple logistic regression analysis was used to identify the predictive factors for the different patterns. Based on the fit indices of latent class analysis, a three-class model was identified as the optimal solution, which included the Resisting group, Struggling group, and Growth group. In the Resisting group (24.33%), patients reported low levels of post-traumatic growth and high levels of fear of cancer progression; in the Struggling group (46.14%), patients exhibited moderate levels of post-traumatic growth and low levels of fear of cancer progression; in the Growth group (29.52%), patients demonstrated high levels of post-traumatic growth and moderate levels of fear of cancer progression. Additionally, the multiple logistic regression analysis reveals that marital status, place of residence, education level, disease stage, social support, anxiety, and post-traumatic stress disorder levels in breast cancer patients serve as significant factors influencing the distinct patterns of post-traumatic growth and fear of progression. This study suggests that there is heterogeneity in the PTG and FOP patterns in breast cancer patients. It provides a research basis for promoting the psychological recovery of breast cancer patients and highlights the importance of focusing on the positive effects of PTG while mitigating the negative impact of FOP. Healthcare providers can implement targeted nursing interventions based on the different patterns observed in breast cancer patients. Show less

Breast cancer (BC) is the most prevalent cancer in women and remains the leading cause of cancer-related mortality globally. Its development is influenced by multiple factors, including genetics, environmental, aging, and modulation of various signaling pathways. The heterogeneity of BC together with the emergence of treatment resistance and recurrence have prompted researchers to explore and develop new therapeutic approaches. Recently, oncology research has primarily focused on the development of targeted therapies against molecular abnormalities in BC. These therapies include monoclonal antibodies, tyrosine kinase inhibitors, antibody-drug conjugates, PI3K/Akt/mTOR pathway inhibitors, CDK 4/6 inhibitors, PARP inhibitors, antiangiogenic agents, and various other targeted drugs. Immunomodulatory strategies, including immune checkpoint inhibitors (anti-PD-1/PD-L1), CTLA-4 blockers, adoptive T-cell therapy, and cancer vaccines, stimulate immune response against cancer cells. Epigenetic therapies like DNMT and HDAC inhibitors have also shown promise in BC treatment. This review highlights how innovative approaches like targeting intratumoral heterogeneity, liquid biopsy for resistance mutation detection, bypass mechanisms ( Show less

Current clinical guidelines lack clear, quantitative recommendations on intensity-specific physical activity (PA) levels for preventing back pain. Moreover, accelerometer-based evidence regarding dose-response relationships and interactions between PA and genetic susceptibility remains limited. To determine the relationships between accelerometer-measured total and intensity-specific PA and incident back pain, and to assess potential effect modification by polygenic risk scores (PRS). Prospective, large-scale, population-based study using UK Biobank data. UK Biobank participants who wore wrist accelerometers for 7 days (N=71,601). Incident back pain, defined as the first recorded ICD-10 dorsalgia code (M54). Total PA, light PA (LPA), and moderate-to-vigorous PA (MVPA) were derived using validated machine-learning algorithms from raw accelerometer data. Dose-response relationships were modeled using restricted cubic splines within Cox proportional hazards models, with adjustment for and stratification by a polygenic risk score (PRS). Point estimates for the population attributable fraction (PAF) were then calculated. Body mass index (BMI) mediation was assessed. Over a median follow-up of 7.0 years, total PA and MVPA exhibited nonlinear inverse associations with incident back pain, independent of genetic risk, with thresholds at approximately 35 milli-g (total PA) and 60 min/day (MVPA). The adjusted PAF was 15.9% for low MVPA and 9.9% for low total PA. Associations were strongest for MVPA, followed by total PA; no significant association was observed for LPA. Within both PRS strata, risk declined monotonically across PA quartiles, with similar effect sizes and no PA × PRS interaction. Notably, participants with high PRS and high PA had lower risk than those with low PRS and low PA. BMI mediated 26.2% of the total PA association and 15.5% of the MVPA association. Accelerometer-measured MVPA robustly reduces back-pain risk, independent of genetic predisposition. Future guidelines should provide clear, intensity-specific recommendations and account for the observed nonlinear dose-response to optimize prevention. Show less

Based on the Caco-2 cell heat stress model, the study explored the heat stress preventive regulatory mechanisms of key polyphenol fractions in mung bean by metabolomics and transcriptomics association analysis. Results Mung bean polyphenol intervention before heat stress significantly reduced the elevated expression level of heat shock protein 70 (HSP70) caused by 39 °C temperature. At the metabolic level, mung bean polyphenols could play a role in heat stress regulation by alleviating oxidative stress damage. At the gene level, mung bean polyphenols showed regulation of cell proliferation, differentiation, and DNA damage, with DUSP6 and NEURL3 as key regulatory genes. The correlation analysis showed that nucleotide metabolism, and oxidative phosphorylation metabolism were the key pathways in the regulation of mung bean polyphenols by heat stress. Then mung bean polyphenols can exert heat stress preventive activity through the regulation of cellular oxidative damage and energy metabolism. This study provides a good idea for the research and development of dietary intervention products for heat stress. Show less

Glaucoma is a leading cause of irreversible blindness, normally associated with dysfunction and degeneration of the trabecular meshwork (TM) as the primary cause. Trabecular meshwork stem cells (TMSCs) have emerged as promising candidates for TM regeneration toward glaucoma therapies, yet their molecular characteristics remain poorly defined. In this study, we performed a comprehensive transcriptomic comparison of human TMSCs and human TM cells (TMCs) using RNA sequencing and microarray analyses, followed by qPCR validation. A total of 465 differentially expressed genes were identified, with 254 upregulated in TMSCs and 211 in TMCs. A functional enrichment analysis revealed that TMSCs are associated with development, immune signaling, and extracellular matrix remodeling pathways, while TMCs are enriched in structural, contractile, and adhesion-related functions. A network topology analysis identified Show less

Primary or acquired resistance to therapeutic agents is a major obstacle in the treatment of cancer patients. Cervical cancer is the fourth leading cause of cancer deaths among women worldwide and, despite major advances in cancer screening and treatments, many patients with advanced stage cervical cancer have a high recurrence rate within two years of standard treatment, with drug resistance being a major contributing factor. The development of cancer cell lines with acquired resistance to therapeutic agents can facilitate the comprehensive investigation of resistance mechanisms, which cannot be easily performed in clinical trials. This study aimed to create three novel and robust cervical cancer cell lines (HeLa, CaSki, and SiHa) with acquired resistance to a fibroblast growth factor receptor (FGFR) tyrosine kinase inhibitor (PD173074). All three drug-resistant (DR) cell lines overexpressed FGFR1, FGFR2, FGF2, FGF4, and FGF7 proteins that were also localized to the nucleus. In addition, the DR cells had a significantly more aggressive phenotype (more migratory and proliferative, less apoptotic) compared to the parental cell lines. These novel DR cervical cancer cells are a critical tool for understanding the molecular mechanisms underpinning drug resistance and for the identification of potential cervical cancer biomarkers. Moreover, the availability of such DR cell lines may facilitate the development of more effective therapeutic strategies using FGFR inhibitors in combination with other agents that target pathways responsible for acquired resistance to FGFR inhibitors. Show less

Pituitary tumours are relatively common, and familial in approximately 5% of cases. However, germline genetic contributions to pituitary tumour development are incompletely characterised. Preliminary evidence suggests pituitary tumours may be promoted by variants in pituitary organogenesis genes. Our study aimed to identify rare germline variants in pituitary organogenesis genes that may contribute to pituitary tumour development. A familial case of pituitary disease was investigated. We also examined 36 pituitary organogenesis genes in 134 individuals with pituitary tumours using a targeted next-generation sequencing panel, identifying and characterising variants with a population allele frequency < 0.05%. One patient with a prolactin-secreting pituitary tumour and his daughter with combined pituitary hormone deficiency shared a rare germline variant in FGFR1, c.386 A > C, p.(D129A). In our broader study, we identified an additional individual with the FGFR1 D129A variant and demonstrated enrichment compared to a control population derived from the Genome Aggregation Database (gnomAD). We also observed 66 rare germline variants in pituitary organogenesis genes amongst 54/134 individuals (40%). However, compared to control data, the study cohort exhibited no enrichment for other rare variants in FGFR1, FGF-related genes, or other pituitary embryogenesis genes. Our results suggest that the FGFR1 D129A variant may be associated with pituitary tumorigenesis but the role of other pituitary embryogenesis genes remains unclear. Additional independent cohorts and functional studies are required. Show less

Studying the molecular properties of drugs and their interactions with human targets aids in better understanding the clinical performance of drugs and guides drug development. In computer-aided drug discovery, it is crucial to utilize effective molecular feature representations for predicting molecular properties and designing ligands with high binding affinity to targets. However, designing an effective multi-task and self-supervised strategy remains a significant challenge for the pretraining framework. In this study, a multi-task self-supervised deep learning framework is proposed, MTSSMol, which utilizes ≈10 million unlabeled drug-like molecules for pretraining to identify potential inhibitors of fibroblast growth factor receptor 1 (FGFR1). During the pretraining of MTSSMol, molecular representations are learned through a graph neural networks (GNNs) encoder. A multi-task self-supervised pretraining strategy is proposed to fully capture the structural and chemical knowledge of molecules. Extensive computational tests on 27 datasets demonstrate that MTSSMol exhibits exceptional performance in predicting molecular properties across different domains. Moreover, MTSSMol's capability is validated to identify potential inhibitors of FGFR1 through molecular docking using RoseTTAFold All-Atom (RFAA) and molecular dynamics simulations. Overall, MTSSMol provides an effective algorithmic framework for enhancing molecular representation learning and identifying potential drug candidates, offering a valuable tool to accelerate drug discovery processes. All of the codes are freely available online at https:// github.com/zhaoqi106/MTSSMol. Show less

G-quadruplexes (G4s) are four-stranded alternative secondary structures formed by guanine-rich nucleic acids and are prevalent across the human genome. G4s are enzymatically resolved using specialized helicases. Previous Show less

Immune checkpoint inhibitors (ICIs) have improved clinical outcomes in patients with non-small cell lung cancer (NSCLC) lacking targetable oncogenic alterations. However, their efficacy in individuals with such genomic alterations remains heterogeneous and poorly understood. In detail, certain oncogenic alterations in TP53, EGFR (uncommon mutations), KRAS (G12C), BRAF (non-V600E), MET (amplifications), FGFR1 and FGFR4, actively modify MAPK, PI3K, and STING signaling, thus remodeling tumoral immune phenotype and are associated with high TMB counts, enriched T lymphocyte tumor infiltration, and high expression of antigen-presenting molecules, supporting their consideration as part of the eligibility criteria for ICIs treatment. Nonetheless, other oncogenic alterations are associated with an immunosuppressive TME, low TMB counts, and downregulation of targetable immune checkpoints, in which novel therapeutic approaches are currently being tested to overcome their intrinsic resistance. In this context, this review discusses the fundamental mechanisms by which frequent driver alterations affect ICIs efficacy in patients with NSCLC, and outlines their prognostic relevance in the era of immunotherapy. Show less

Impaired fibroblast growth factor receptor (FGFR) signaling is associated with many human conditions, including growth disorders, degenerative diseases, and cancer. Current FGFR therapeutics are based on chemical inhibitors of FGFR tyrosine kinase activity (TKIs). However, FGFR TKIs are limited in their target specificity as they generally inhibit all FGFRs and other receptor tyrosine kinases. In the search for specific inhibitors of human FGFR1, we identified VZ23, a DNA aptamer that binds to FGFR1b and FGFR1c with a K Show less