Chemokines and neutrophil extracellular trap formation (NETosis) are critical drivers of inflammatory responses. However, the molecular characteristics and interaction mechanisms of these processes in Show more
Chemokines and neutrophil extracellular trap formation (NETosis) are critical drivers of inflammatory responses. However, the molecular characteristics and interaction mechanisms of these processes in sarcopenia remain incompletely understood. Utilizing the mRNA expression profile dataset GSE226151 (including 19 sarcopenia, 19 pre-sarcopenia, and 20 healthy control samples), enrichment analysis was performed to identify differentially expressed NETosis-related genes (DENRGs) and chemokine-related genes (DECRGs). Two machine learning algorithms and univariate analysis were integrated to screen signature genes, which were subsequently used to construct diagnostic nomogram models for sarcopenia. Single-gene Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were used to investigate pathway associations, followed by the construction of a gene interaction network. A total of 7 DECRGs and DENRGs were identified, primarily enriched in chemokine signaling pathways, cytokine-cytokine receptor interactions, and sarcopenia-related diseases. Machine learning and univariate analysis revealed three signature genes (CXCR1, CXCR2, and LPL). The nomogram models demonstrated high predictive accuracy in distinguishing sarcopenia from both healthy and pre-sarcopenic states, as evidenced by AUC values of 0.837 (95% CI 0.703-0.947) and 0.903 (95% CI 0.789-0.989), respectively. Single-gene GSEA highlighted significant associations between these genes and the JAK-STAT and PPAR signaling pathways. GSVA indicated that sarcopenia was closely linked to upregulated chemokine signaling, cytokine-receptor interaction activities, and leukocyte transendothelial migration. The research pinpointed three genes associated with chemokines and NETosis (CXCR1, CXCR2, LPL) and developed highly accurate diagnostic models, offering a new and preliminary approach to differentiate sarcopenia and its early stages. Show less
PALS1-associated tight junction (PATJ) protein is linked to metabolic disease and stroke in human genetic studies. Despite the recognized role of PATJ in cell polarization, its specific functions in m Show more
PALS1-associated tight junction (PATJ) protein is linked to metabolic disease and stroke in human genetic studies. Despite the recognized role of PATJ in cell polarization, its specific functions in metabolic disease and ischemic stroke recovery remain largely unexplored. We explored the functions of PATJ in an in vitro model and in vivo in C. elegans and mice. Using a mouse model of stroke, we found post-ischemic stroke duration-dependent increase of PATJ abundance in endothelial cells. PATJ knock-out (KO) HEK293 cells generated by CRISPR-Cas9 suggest roles for PATJ in cell proliferation, migration, mitochondrial stress response, and interactions with the Yes-associated protein (YAP)-1 signaling pathway. Notably, PATJ deletion altered YAP1 nuclear translocation. PATJ KO cells demonstrated transcriptional reprogramming based on RNA sequencing analysis, and identified dysregulation in genes central to vascular development, stress response, and metabolism, including RUNX1, HEY1, NUPR1, and HK2. Furthermore, we found that mpz-1, the homolog of PATJ, was significantly upregulated under hypoxic conditions in C. elegans. Knockdown of mpz-1 resulted in abnormal neuronal morphology and increased mortality, both of which were exacerbated by hypoxia exposure, indicating a critical protective role of PATJ/MPZ-1 in maintaining neuronal integrity and survival, particularly during oxygen deprivation stress relevant to ischemic stroke. These insights offer a new understanding of PATJ's regulatory functions within cellular and vascular physiology and help lay the groundwork for therapeutic strategies targeting PATJ-mediated pathways for stroke rehabilitation and neurovascular repair. Show less
This study aimed to explore the genotype and phenotype correlation of patients with multiple osteochondroma (MO), and validate phenotypic differences in ATDC5 cell model with Mutation analysis was emp Show more
This study aimed to explore the genotype and phenotype correlation of patients with multiple osteochondroma (MO), and validate phenotypic differences in ATDC5 cell model with Mutation analysis was employed in 27 families with MO using polymerase chain reaction (PCR)-Sanger sequencing and targeted next-generation sequencing (t-NGS). ATDC5 cell model with A total of 27 pathogenic mutations were identified in Clinical research identified nine novel mutations in Show less
Multiple myeloma (MM) remains an incurable disease primarily due to the emergence of drug resistance, and the underlying mechanisms remain unclear. Extrachromosomal circular DNAs (eccDNAs) are prevale Show more
Multiple myeloma (MM) remains an incurable disease primarily due to the emergence of drug resistance, and the underlying mechanisms remain unclear. Extrachromosomal circular DNAs (eccDNAs) are prevalent in cancer genomes of both coding and non-coding regions. However, the role of non-coding eccDNA regions that serve as enhancers has been largely overlooked. Here, genome-wide profiling of serum eccDNAs from donors and MM patients who responded well or poorly to bortezomib-lenalidomide-dexamethasone (VRd) therapy is characterized. A high copy number of eccDNA ANKRD28 (eccANKRD28) predicts poor therapy response and prognosis but enhanced transcriptional activity. Established VRd-resistant MM cell lines exhibit a higher abundance of eccANKRD28, and CRISPR/Cas9-mediated elevation of eccANKRD28 desensitizes bortezomib and lenalidomide treatment both in vitro and in vivo. Integrated multi-omics analysis (H3K27ac ChIP-seq, scRNA-seq, scATAC-seq, CUT&Tag, et al.) identifies eccANKRD28 as an active enhancer involved in drug resistance driven by the key transcription factor, POU class 2 homeobox 2 (POU2F2). POU2F2 interacts with sequence-specific eccANKRD28 as well as RUNX1 and RUNX2 motifs to form the protein complex, which activates the promoter of oncogenes, including IRF4, JUNB, IKZF3, RUNX3, and BCL2. This study elucidates the potential transcriptional network of enhancer eccANKRD28 in MM drug resistance from a previously unrecognized epigenetic perspective. Show less
To explore latent profiles of social isolation in maintenance haemodialysis (MHD) patients and to analyse the factors influencing different latent profiles. Multicentre cross-sectional study. Between Show more
To explore latent profiles of social isolation in maintenance haemodialysis (MHD) patients and to analyse the factors influencing different latent profiles. Multicentre cross-sectional study. Between November 2024 to March 2025, 305 MHD patients from the haemodialysis centres of three hospitals in Henan Province, China, were recruited using a convenience sampling method. All participants completed the general information questionnaire, Lubben Social Network Scale 6 (LSNS-6), UCLA Loneliness Scale-6 (ULS-6) and Personal Mastery Scale. Latent Profile Analysis (LPA) was used to classify the participants into potential subgroups with different types of social isolation. The influencing factors of profiles were explored by univariate analysis and multiple logistic regression analysis. Social isolation of 305 patients can be divided into three profiles: the family-friend dual isolation group (14.10%), friend isolation-only group (47.54%), and social network well-being group (38.36%). Multivariable logistic regression analysis revealed that monthly personal income, living arrangement, social participation, dialysis time, post-dialysis fatigue, number of comorbidities, loneliness and personal mastery were identified as factors influencing the profiles. There is heterogeneity in social isolation among MHD patients. It is therefore necessary to implement targeted intervention measures based on the distinct characteristics of each subgroup to facilitate their social reintegration. Nurses should identify differences in social isolation among MHD patients. It is necessary to establish tripartite connections between families, hospitals and communities, and develop personalised psychosocial interventions to alleviate social isolation. The study identified distinct subgroups of social isolation among MHD patients, while emphasising the impact of psychological resources such as loneliness and personal mastery on social isolation. This may offer critical insights for nurses to develop targeted interventions for patients' social health. The study followed the STROBE guidelines for cross-sectional studies. No patient or public involvement. Show less
The existing evidence regarding the impact of tamoxifen on lipoprotein(a) and apolipoproteins remains inconsistent. Therefore, this updated meta-analysis of randomized controlled trials (RCTs) aims to Show more
The existing evidence regarding the impact of tamoxifen on lipoprotein(a) and apolipoproteins remains inconsistent. Therefore, this updated meta-analysis of randomized controlled trials (RCTs) aims to enhance the quality of evidence concerning the effects of tamoxifen on these lipid parameters. Eligible RCTs published up to October 2024 were meticulously selected through a comprehensive search. A meta-analysis was then performed using a random-effects model, and results were presented as the weighted mean difference (WMD) with a 95% confidence interval (CI). Findings from the random-effects model revealed an increase in ApoA-I (WMD: 15.22 mg/dL, 95% CI: 6.43-24.01, P = 0.001), alongside decreases in ApoB (WMD: -9.33 mg/dL, 95% CI: -15.46 to -3.19, P = 0.003) and lipoprotein(a) (WMD: -3.35 mg/dL, 95% CI: -5.78 to -0.91, P = 0.007) levels following tamoxifen treatment in women. Subgroup analyses indicated a more significant reduction in lipoprotein(a) levels in RCTs with a duration of ≤24 weeks (WMD: -3.65 mg/dL) and in studies using tamoxifen doses of ≥20 mg/day (WMD: -4.53 mg/dL). This meta-analysis provides evidence that tamoxifen leads to a decrease in lipoprotein(a) levels, along with reductions in ApoB and increases in ApoA-I among women. Show less
The intrinsic heterogeneity and invasiveness of diffuse gliomas complicate accurate prognosis. Existing approaches are largely constrained by subtype specificity or limited analytical dimensions. To a Show more
The intrinsic heterogeneity and invasiveness of diffuse gliomas complicate accurate prognosis. Existing approaches are largely constrained by subtype specificity or limited analytical dimensions. To address this gap, a multi- dimension-based prognostic framework encompassing the full glioma spectrum was developed, accompanied by an analysis of the associated immune microenvironment. A total of 3,323 glioma samples from the SEER (n = 2181), CGGA (n = 807), and TCGA (n = 335) datasets were integrated. Differentially expressed genes were screened using the limma package, and a Lasso-Cox-based prognostic signature (Glioma-GDPM) was established. Clinical variables such as age, grade, and IDH mutation status were harmonized through propensity score matching to construct a multi-omics prognostic model (Glioma-GCDPM). GSEA, CIBERSORT-based immune infiltration analysis, and TIDE scoring were used to investigate the biological characteristics of different risk subgroups. Eleven key prognostic genes (such as PRAMEF2 and FADS1) and four clinical factors (age, tumor grade, IDH mutation, and 1p/19q codeletion) were identified. Glioma-GCDPM demonstrated favorable predictive ability in both the internal test cohort (AUC 0.81-0.86) and external validation sets (AUC 0.59-0.83). High-risk tumors exhibited greater invasiveness, with significant enrichment in cell cycle and proliferation-associated pathways. Additionally, a suppressed immune microenvironment was observed, reflected by elevated M2 macrophage infiltration and increased T cell dysfunction scores. The multi-omics model established in this study enables precise stratification of prognostic risk in diffuse glioma patients and reveals immunosuppressive features in high-risk individuals, providing a new basis for personalized treatment strategies. Show less
Cranial neural crest cells (CNCs) play a critical role in craniofacial bone morphogenesis, engaging in intricate interactions with various molecular signals to ensure proper development, yet the molec Show more
Cranial neural crest cells (CNCs) play a critical role in craniofacial bone morphogenesis, engaging in intricate interactions with various molecular signals to ensure proper development, yet the molecular scaffolds coordinating these processes remain incompletely defined. Here, we identify neurofibromin 2 (Nf2) as a critical regulator to direct CNC-derived skull morphogenesis. Genetic ablation of Nf2 in murine CNCs causes severe craniofacial anomalies, featuring declined proliferation and increased apoptosis in osteoprogenitors, impaired type I collagen biosynthesis and trafficking, and aberrant osteogenic mineralization. Mechanistically, we uncover that Nf2 serves as a molecular linker that individually interacts with FGF receptor 1 (FGFR1) and Akt through spatially segregated phosphor-sites, and structural modeling and mutagenesis identified Ser10 and Thr230 as essential residues, with Thr230 mutation selectively ablating Akt binding while preserving FGFR1 association. Strikingly, Akt inhibition phenocopied Nf2 deficiency, reducing collagen production and Nf2 phosphorylation, whereas phospho-mimetic Nf2 (T230D) rescued CNC-derived osteogenic defects in Nf2-mutant animals. Our findings underscore the physiological significance of Nf2 as a phosphorylation-operated scaffold licensing the FGFR1/AKT axis to regulate collagen type I biogenesis and trafficking, ensuring normal CNC-derived osteogenesis and craniofacial bone development, thus exposing the Nf2/FGFR1/AKT signaling axis as a therapeutic target and promising advancements in treatment of craniofacial anomalies. Show less
Increasing evidence underscores the driving role of coding and non-coding variants in cancer development. Analyzing gene sets in biological processes offers deeper insights into the molecular mechanis Show more
Increasing evidence underscores the driving role of coding and non-coding variants in cancer development. Analyzing gene sets in biological processes offers deeper insights into the molecular mechanisms of carcinogenesis. Here, we developed geMER to identify candidate driver genes genome-wide by detecting mutation enrichment regions within coding and non-coding elements. We subsequently designed a pipeline to identify a core driver gene set (CDGS) that broadly promotes carcinogenesis across multiple cancers. CDGS comprising 25 genes for 25 cancers displayed instability in DNA aberrations. Variants within the TTN enrichment region may influence the folding of the I-set domain by altering local polarity or side-chain chemistry properties of amino acids, potentially disrupting its antigen-binding capacity in LUAD. Multi-omics analysis revealed that APOB emerged as a candidate oncogene in LIHC, whose genetic alterations within the enrichment region may activate key TFs, upregulate DNA methylation levels, modulate critical histone modifications, and enhance transcriptional activity in the HepG2 and A549 cell lines compared to Panc1. Additionally, CDGS mutation status was an independent prognostic factor for the pan-cancer cohort. High-risk patients tended to develop an immunosuppressive microenvironment and demonstrated a higher likelihood of responding to ICI therapy. Finally, we provided a user-friendly web interface to explore candidate driver genes using geMER ( http://bio-bigdata.hrbmu.edu.cn/geMER/ ). Show less
The Regulator of G Protein Signaling (RGS) gene family, known as critical negative regulators of G protein-coupled receptor (GPCR) signaling pathways, has emerged as a potential therapeutic target in Show more
The Regulator of G Protein Signaling (RGS) gene family, known as critical negative regulators of G protein-coupled receptor (GPCR) signaling pathways, has emerged as a potential therapeutic target in various malignancies. This study aims to comprehensively evaluate the expression profiles of RGS genes in breast cancer, exploring their diagnostic, prognostic, and chemotherapeutic sensitivity-related roles. Pan-cancer RNA-seq data, immune phenotype data, stemness indices, and breast cancer data from the TCGA and GTEx databases (via UCSC Xena) were integrated to analyze the expression patterns of RGS genes across different cancers. Associations with immune microenvironment factors (e.g., stromal and immune scores), tumor stemness (mRNAsi/mDNAsi), and chemotherapy drug sensitivity (cyclophosphamide, neratinib, clobutin, etc.) were assessed. The relationship between RGS gene expression and overall survival (OS) as well as progression-free survival (PFS) in breast cancer patients was analyzed using the KM-Plotter database, leading to the identification of potential diagnostic and prognostic biomarkers. Pan-cancer analyses revealed significant positive correlations between the expression of RGS1, RGS13, RGS18, and RGS19 and both stromal and immune scores ( The RGS gene family plays a crucial role in breast cancer progression through modulation of the immune microenvironment and chemotherapy resistance. Their expression profiles hold promise as novel biomarkers for personalized prognostic stratification and targeted therapy, particularly for guiding chemotherapy drug selection. Show less
Mitochondrial oxidative stress plays a critical role in cancer development and progression. However, there is limited research on the relationship between mitochondrial oxidative stress and liver hepa Show more
Mitochondrial oxidative stress plays a critical role in cancer development and progression. However, there is limited research on the relationship between mitochondrial oxidative stress and liver hepatocellular carcinoma (LIHC). Mitochondrial oxidative stress-related genes were collected from Genecards Portal. Prognosis-linked genes (PLGs) were identified by univariate Cox regression analysis. A risk model was constructed based on the PLGs using least absolute shrinkage and selection operator (LASSO) analysis. Receiver operating characteristic (ROC) curves were used to determine the predictive ability of the model. The expression levels of the prognostic genes were verified in the cell lines. Cell proliferation, apoptosis, and invasion assays were conducted to investigate the functional role of the target gene. We constructed a novel risk model based on 9 prognostic genes (CYP2C19, CASQ2, LPL, TXNRD1, CACNA1S, SLC6A3, OXTR, BIRC5, and MMP1). Survival analysis showed that patients with a low-risk score had a much better overall survival (OS). Prognostic risk score was found to be an independent predictor of prognosis. Patients in the high-risk group had a less favorable tumor microenvironment characterized by a lower degree of immune cell infiltration. Among the nine prognostic genes, MMP1, identified as the most promising candidate, demonstrated the capacity to enhance tumor cell proliferation and invasion. Our investigation reveals the oncogenic role of mitochondrial oxidative stress in LIHC. For the first time, we established a risk prediction model for mitochondrial oxidative stress in patients with LIHC. MMP1 has the potential to function as a promising biomarker in LIHC. Show less
Brain metastasis occurs in up to 40% of patients with non-small cell lung cancer (NSCLC). Considerable genomic heterogeneity exists between the primary lung tumor and respective brain metastasis; howe Show more
Brain metastasis occurs in up to 40% of patients with non-small cell lung cancer (NSCLC). Considerable genomic heterogeneity exists between the primary lung tumor and respective brain metastasis; however, the identity of the genes capable of driving brain metastasis is incompletely understood. Here, we carried out an in vivo genome-wide CRISPR activation screen to identify molecular drivers of brain metastasis from an orthotopic xenograft model derived from a patient with NSCLC. We found that activating expression of the Alzheimer's disease-associated beta-secretase 1 (BACE1) led to a substantial increase in brain metastases. Furthermore, genetic and pharmacological inhibition of BACE1 blocked NSCLC brain metastasis. Mechanistically, we identified that BACE1 acts through epidermal growth factor receptor to drive this metastatic phenotype. Together, our data highlight the power of in vivo CRISPR activation screening to unveil molecular drivers and potential therapeutic targets of NSCLC brain metastasis. Show less
Ovarian cancer presents a significant treatment challenge due to its insidious nature and high malignancy. As autophagy is a vital cellular process for maintaining homeostasis, targeting the autophagi Show more
Ovarian cancer presents a significant treatment challenge due to its insidious nature and high malignancy. As autophagy is a vital cellular process for maintaining homeostasis, targeting the autophagic pathway has emerged as an avenue for cancer therapy. In the present study, we identify apolipoprotein B100 (ApoB100), a key modulator of lipid metabolism, as a potential prognostic biomarker of ovarian cancer. ApoB100 functioned as a tumor suppressor in ovarian cancer, and the knockdown of ApoB100 promoted ovarian cancer progression in vivo. Moreover, ApoB100 blocked autophagic flux, which was dependent on interfering with the lipid accumulation/endoplasmic reticulum (ER) stress axis. The effects of LFG-500, a novel synthetic flavonoid, on ApoB100 induction were confirmed using proteomics and lipidomics analyses. Herein, LFG-500 induced lipid accumulation and ER stress and subsequently blocked autophagy by upregulating ApoB100. Moreover, data from in vivo experiments further demonstrated that ApoB100, as well as the induction of the lipid/ER stress axis and subsequent blockade of autophagy, were responsible for the anti-tumor effects of LFG-500 on ovarian cancer. Hence, our findings support that ApoB100 is a feasible target of ovarian cancer associated with lipid-regulated autophagy and provide evidence for using LFG-500 for ovarian cancer treatment. Show less
This study evaluated the efficacy and safety of tafolecimab in patients with type 2 diabetes (T2D) and hypercholesterolemia by a post-hoc analysis of pooled data from three phase 3 trials. Data from u Show more
This study evaluated the efficacy and safety of tafolecimab in patients with type 2 diabetes (T2D) and hypercholesterolemia by a post-hoc analysis of pooled data from three phase 3 trials. Data from up to 12 weeks were analyzed to assess the effects of tafolecimab 450 mg every four weeks (Q4W) in patients with T2D and hypercholesterolemia. The primary endpoint was the percentage change in low-density lipoprotein cholesterol (LDL-C) levels from baseline to week 12. Secondary endpoints included the proportion of participants achieving LDL-C levels below 1.8 mmol/L at weeks 12, the proportion of patients achieving LDL-C ≥ 50% reduction and LDL-C < 1.4 mmol/L, as well as percentage changes from baseline to week 12 in non-high-density lipoprotein cholesterol (non-HDL-C), apolipoprotein B (apo B), lipoprotein(a) [Lp(a)], and triglyceride (TG) levels. The reduction in LDL-C from baseline was significantly greater in patients receiving tafolecimab than in those receiving placebo (estimated treatment difference: - 64.02%, 95% confidence interval: [- 68.08%, - 59.96%], P < 0.0001). The proportion of patients achieving a reduction of over 50% and an absolute LDL-C value below 1.4 mmol/L was significantly higher in the tafolecimab group than that in the placebo group (P < 0.0001). Furthermore, a significantly greater proportion of patients in the tafolecimab group achieved LDL-C levels below 1.8 mmol/L at week 12 compared to the placebo group (P < 0.0001). The tafolecimab group also showed significant reductions in TG, non-HDL-C, apo B, and Lp(a) from baseline to week 12 compared to the placebo group (all P < 0.001). The incidence of adverse events was generally similar between the two groups. Tafolecimab 450 mg Q4W demonstrated a superior lipid-lowering efficacy and favorable safety profile compared to placebo. This suggests it could be a promising new treatment option for Chinese patients with T2D and hypercholesterolemia. Show less
Graphical Abstract Lipoprotein lipase (LPL) mediates peripheral tissue triglyceride (TG) uptake. Hepatic ANGPTL3 (A3) and ANGPTL8 (A8) form a complex and inhibit LPL activity in the white adipose tiss Show more
Graphical Abstract Lipoprotein lipase (LPL) mediates peripheral tissue triglyceride (TG) uptake. Hepatic ANGPTL3 (A3) and ANGPTL8 (A8) form a complex and inhibit LPL activity in the white adipose tissue (WAT) via systematic circulation. ANGPTL4 (A4) is expressed in WAT and inhibits LPL activity locally. Feeding increases hepatic A8 expression and increases its inhibition for WAT LPL activity together with A3, while feeding suppresses WAT A4 expression and releases its inhibition on LPL. At room temperature, the feeding-suppressed A4 overrides the feeding-increased A3/A8, resulting in increased LPL activity in WAT by food intake. Browning improves hepatic insulin sensitivity and increases postprandial A8 expression. The feeding-increased A3/A8 overrides the feeding-suppressed A4, resulting in suppressed LPL activity in WAT by food intake. This reprogrammed LPL regulation plays an important role in reprogramming TG metabolism during adipose tissue browning. Show less
Yaozhong Liu, Huilun Wang, Minzhi Yu+19 more · 2025 · medRxiv : the preprint server for health sciences · Cold Spring Harbor Laboratory · added 2026-04-24
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 incre Show more
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
Alzheimer's disease is a debilitating neurodegenerative disorder, and the Beta-Site Amyloid Precursor Protein Cleaving Enzyme 1 (BACE1) is a key therapeutic target in its treatment. This study employs Show more
Alzheimer's disease is a debilitating neurodegenerative disorder, and the Beta-Site Amyloid Precursor Protein Cleaving Enzyme 1 (BACE1) is a key therapeutic target in its treatment. This study employs molecular dynamics simulations and binding energy analysis to investigate the binding interactions between BACE1 and four selected small molecules: CNP520, D9W, NB641, and NB360. The binding model analysis indicates that the binding of BACE1 with four molecules are stable, except the loop regions show significant fluctuation. The binding free energy analyses reveal that NB360 exhibits the highest binding affinity with BACE1, surpassing other molecules (CNP520, D9W, and NB641). Detailed energy component assessments highlight the critical roles of electrostatic interactions and van der Waals forces in the binding process. Furthermore, residue contribution analysis identifies key amino acids influencing the binding process across all systems. Hydrogen bond analysis reveals a limited number of bonds between BACE1 and each small molecule, highlighting the importance of structural modifications to enable more stable hydrogen bonds. This research provides valuable insights into the molecular mechanisms of potential Alzheimer's disease therapeutics, guiding the way for improved drug design and the development of effective treatments targeting BACE1. Show less
Kidney Yang Deficiency (KYD) is a metabolic disorder associated with kidney damage. Its slow progression means that causative factors and effective therapeutic agents remain unclear. Extensive evidenc Show more
Kidney Yang Deficiency (KYD) is a metabolic disorder associated with kidney damage. Its slow progression means that causative factors and effective therapeutic agents remain unclear. Extensive evidence links KYD to gut microbiome metabolic diseases and the Hypothalamic-Pituitary-Thyroid (HPT) axis. CDG was extracted from both raw and processed CD and analyzed via HPLC. Propylthiouracil-induced KYD rats were used to assess pharmacological effects, including serum levels of T Fecal non-targeted metabolomics identified 98 metabolites associated with KYD, while 16S rRNA sequencing revealed 13 key intestinal microbiotas linked to KYD. CDG therapy effectively alleviated KYD symptoms by modulating the gut microbiota, improving metabolic and microbial imbalances in KYD. RG/WG significantly improves KYD rats mainly through the relationship between the intestinal microbiota and arachidonic acid metabolism. The key bacterial genera This integrative approach of gut microbiome and fecal metabolomics not only provides a scientific basis for CDG's preventive effects on KYD via the HPT axis but also elucidates the potential mechanisms underlying CDG's action against KYD. Show less
The natural compound pterostilbene (PTE) has multiple cardiovascular protective effects. However, its effects on pulmonary arterial hypertension (PAH)-associated vascular remodeling remain to be eluci Show more
The natural compound pterostilbene (PTE) has multiple cardiovascular protective effects. However, its effects on pulmonary arterial hypertension (PAH)-associated vascular remodeling remain to be elucidated. This study investigated the effects of PTE on monocrotaline (MCT)-induced PAH in rats Experimental PAH was established by subcutaneous injection of MCT (50 mg/kg) in Sprague-Dawley rats, which were then randomly divided into vehicle or PTE (15 mg/kg via gavage) treatment groups. Endothelial-to-mesenchymal transition (EndMT) was modeled in hPAECs by treating with transforming growth factor-β, tumor necrosis factor-α, and interleukin-1β in combination. In rats with MCT-induced PAH, administration of PTE resulted in a reduction in right ventricular systolic pressure, thereby alleviating right ventricular hypertrophy. This was accompanied by mitigation of the remodeling of pulmonary arteries. PTE mitigates MCT-induced PAH and vascular remodeling in rats, at least in part, by inhibiting HMGA-mediated EndMT, suggesting that PTE may be a useful complementary medicine in the treatment of PAH. Show less
Lanthanides-doped luminescent materials have gathered considerable attention due to their application potential in stress sensing, lighting and display, anti-counterfeiting technology and so forth. Ho Show more
Lanthanides-doped luminescent materials have gathered considerable attention due to their application potential in stress sensing, lighting and display, anti-counterfeiting technology and so forth. However, existing materials mainly cover the 380-1540 nm range, with slight extension to the UV region, impeding their applications in solar-blind imaging, background-free tracking, concealed communication, etc. To address this challenge, here we propose guidelines for far-UVC (200-230 nm) optical design. Accordingly, we achieve multi-stimulated far-UVC luminescence at ~222 nm in Pr Show less
Interleukin-27 (IL-27), an Interleukin-12 (IL-12) family heterodimeric cytokine, plays a central yet complex role in immunoregulation within the intestinal mucosa, where its context-dependent actions Show more
Interleukin-27 (IL-27), an Interleukin-12 (IL-12) family heterodimeric cytokine, plays a central yet complex role in immunoregulation within the intestinal mucosa, where its context-dependent actions can promote both protective and pathogenic outcomes. Although its cellular sources, receptor structure (IL-27Rα/gp130 complex), and involvement in regulating key immune cells (e.g., T-cell subsets, macrophages, neutrophils) and epithelial functions are established, the precise mechanisms underlying its paradoxical effects-balancing homeostasis with inflammation-remain incompletely resolved. This review synthesizes current understanding of IL-27 biology to clarify its multifaceted role. Crucial insights into these dual functions have emerged from preclinical models, including murine colitis (e.g., DSS-, TNBS-induced), enteric infection (e.g., Toxoplasma gondii, Citrobacter rodentium), and colorectal cancer models. These studies demonstrate that IL-27 critically orchestrates gut immunity, maintaining homeostasis through antimicrobial defense and barrier enhancement while suppressing immunopathology. Conversely, its dysregulation drives chronic inflammation and carcinogenesis. Clinically, IL-27 expression correlates with disease activity in inflammatory bowel disease (IBD), colorectal cancer (CRC), and infections, highlighting its biomarker potential. Consequently, targeting the IL-27 pathway presents promising therapeutic avenues: augmenting signaling may mitigate IBD hyperinflammation, while inhibition could bolster antitumor immunity or resolve infection-driven pathology. Future research must prioritize defining context-specific IL-27 functions, optimizing delivery strategies, and integrating IL-27 targeting with existing biologics to translate its immunomodulatory potential into novel therapies for intestinal diseases. Show less
This study aimed to analyse the relationship of the blood lipid profile and interleukin-6 (IL-6) with osteoporosis and osteopenia and to explore the predictive value of the combined application of the Show more
This study aimed to analyse the relationship of the blood lipid profile and interleukin-6 (IL-6) with osteoporosis and osteopenia and to explore the predictive value of the combined application of these biomarkers in osteoporosis and osteopenia. Data from 276 patients treated in the orthopaedics department were retrospectively analysed. Their general information was collected, and the relationships among the blood lipid profile, IL-6 with bone turnover markers, and bone mineral density (BMD) were analysed. Patients were categorized based on their T scores for intergroup comparisons. Finally, the diagnostic efficiency of lipid metabolism markers and IL-6 for osteoporosis and osteopenia was assessed using receiver operating characteristic (ROC) curves. (1) In both males and females, a negative relationship was observed between BMD and several biomarkers, including total cholesterol (TC), apolipoprotein B (ApoB), low-density lipoprotein cholesterol (LDL-C), free fatty acids (FFAs), and IL-6. Additionally, apolipoprotein A1 (ApoA1) was negatively correlated with BMD only in females, and the ApoA1/ApoB ratio was positively correlated with BMD only in males. (2) FFAs and IL-6 were positively correlated with β-CrossLaps peptide in males. However, for females, TC, ApoB, LDL-C, and IL-6 were negatively correlated with 25-hydroxyvitamin D. FFAs, IL-6, and age were negatively correlated with osteocalcin in males and females. (3) According to the T scores for the lumbar spine, the TC, ApoA1, ApoB, HDL-C, LDL-C, FFA, and IL-6 levels in the osteoporosis group and the TC, ApoB, LDL-C, and FFA levels in the osteopenia group were significantly greater than those in the normal bone mass group. Additionally, the osteoporosis group presented substantially higher levels of ApoA1, FFAs, and IL-6 than the osteopenia group. (4) IL-6 was positively correlated with FFAs, while a negative correlation was observed with TC, ApoA1, ApoB, HDL-C, and LDL-C. (5) The ROC curve revealed that the areas under the curve (AUCs) of TC, FFAs, IL-6, ApoA1, and the ApoA1/ApoB ratio for predicting osteoporosis or osteopenia were 0.634, 0.713, 0.670, 0.628, and 0.516, respectively, whereas the AUC of the combination of TC, FFAs, IL-6, and ApoA1 was 0.846, and the AUC of the combination of TC, FFAs, IL-6, and the ApoA1/ApoB ratio was 0.842. In the sex stratification analysis, in males, the AUCs of TC, FFAs, IL-6, and the ApoA1/ApoB ratio for the prediction of osteoporosis or osteopenia were 0.596, 0.688, 0.739, and 0.539, respectively. In contrast, the AUC of the combination of TC, FFAs, IL-6, and the ApoA1/ApoB ratio was 0.838. In females, the AUCs of TC, FFAs, IL-6, ApoA1, and the ApoA1/ApoB ratio for predicting osteoporosis or osteopenia were 0.620, 0.728, 0.653, 0.611, and 0.502, respectively, whereas the AUC of the combination of TC, FFAs, IL-6, and ApoA1 was 0.841, and the AUC of the combination of TC, FFAs, IL-6, and the ApoA1/ApoB ratio was 0.828. The levels of TC, FFAs, IL-6, ApoA1, and ApoB could contribute to changes in bone metabolism, moreover, FFAs could induce an increase in IL-6 further aggravating bone mass loss and leading to osteoporosis. Based on the comparison of the AUC results, the combination of TC, FFAs, and IL-6 with ApoA1 or the ApoA1/ApoB ratio can better predict osteoporosis or osteopenia in patients, and the diagnostic efficiency is significantly better than that of any individual indicator. The regulation of blood lipid levels should become a new target for clinicians to treat osteoporosis and osteopenia. Show less
Atherosclerosis, a leading cause of cardiovascular disease, is driven by a complex interplay of dyslipidemia, inflammation, and arterial plaque formation and progression. Animal models are indispensab Show more
Atherosclerosis, a leading cause of cardiovascular disease, is driven by a complex interplay of dyslipidemia, inflammation, and arterial plaque formation and progression. Animal models are indispensable to elucidate the pathogenesis and develop novel therapies. Rodent models are widely utilized due to their cost-effectiveness, reproducibility, and rapid disease progression. However, notable species differences exist in lipoprotein composition and lipid metabolism pathways. Mice and rats exhibit an HDL-dominant profile, whereas Syrian golden hamsters express cholesteryl ester transfer protein (CETP) and display a higher LDL fraction, but lower than that of humans, offering a model closer to human metabolically. Divergent CETP activity across species further complicates the translational relevance of the findings from these models for atherosclerosis and related metabolic disorders. This review systematically examines the key factors in rodent model selection and optimization, with consideration on the roles of sex and age. We focus on three commonly used and well-characterized rodent strains prone to atherosclerosis: C57BL/6J mice, Sprague-Dawley (SD) rats, Wistar rats, and golden hamsters. On Show less
Acute-on-chronic liver failure (ACLF) is the major cause of mortality in patients infected with the hepatitis B virus (HBV); however, early determination of the prognosis of patients with HBV-ACLF is Show more
Acute-on-chronic liver failure (ACLF) is the major cause of mortality in patients infected with the hepatitis B virus (HBV); however, early determination of the prognosis of patients with HBV-ACLF is insensitive or limited. This study aimed to analyze differentially expressed proteins in the plasma of patients with HBV-ACLF using data-independent acquisition mass spectrometry to provide a reference for short-term prognosis. Fifty HBV-ACLF patients and 15 healthy controls were enrolled in this study. Of these, 10 patients with HBV-ACLF and 5 healthy volunteers participated in data-independent acquisition-based proteomics and the potential core proteins were screened out via bioinformatics. Apolipoprotein C3 (APOC3) was selected and quantified by enzyme linked immunosorbent assays in all patients. And the area under the curve (AUC) was calculated to evaluate the value of APOC3 in the diagnosis and prognosis of patients with HBV-ACLF. A total of 247 differentially expressed proteins were identified in the serum of patients in the HBV-ACLF and normal control groups. A total of 148 proteins were upregulated and 99 proteins were downregulated in the HBV-ACLF group compared with those in the normal group. The expression level of APOC3 was 1.65 ± 0.44 mg/mL in patients with HBV-ACLF, which was obviously lower than the normal controls (2.04 ± 0.22 mg/mL) (P < .001) (AUC was 0.766, with a sensitivity of 62%, and specificity of 93.3%). The expression level of APOC3 was 1.38 ± 0.44 mg/mL in the non-survival group, which was obviously lower than the survival group (1.83 ± 0.35 mg/mL) (P < .0001) (AUC was 0.780, with a sensitivity of 50%, and specificity of 96.7%). APOC3 is associated with short-term prognosis of patients with HBV-ACLF and can be used as a potential prognostic biomarker in patients with HBV-ACLF. Show less
Mitophagy plays a critical role in maintaining mitochondrial quality and cellular homeostasis. But the specific contribution of mitophagy-related E3 ubiquitin ligases to prognoses remains largely unex Show more
Mitophagy plays a critical role in maintaining mitochondrial quality and cellular homeostasis. But the specific contribution of mitophagy-related E3 ubiquitin ligases to prognoses remains largely unexplored. In this study, we identified a novel mitophagy-related E3 ubiquitin ligase prognostic signature using least absolute shrinkage and selector operator (LASSO) and multivariate Cox regression analyses in breast cancer. Based on median risk scores, patients were divided into high-risk and low-risk groups. Functional enrichment analyses were conducted to explore the biological differences between the two groups. Immune infiltration, drug sensitivity, and mitochondrial-related phenotypes were also analyzed to evaluate the clinical implications of the model. A four-gene signature (ARIH1, SIAH2, UBR5, and WWP2) was identified, and Kaplan-Meier analysis demonstrated that the high-risk group had significantly worse overall survival (OS). The high-risk patients exhibited disrupted mitochondrial metabolism and immune dysregulation with upregulated immune checkpoint molecules. Additionally, the high-risk group exhibited higher sensitivity to several drugs targeting the Akt/PI3K/mTORC1 signaling axis. Accompanying mitochondrial metabolic dysregulation, mtDNA stress was elevated, contributing to activation of the senescence-associated secretory phenotype (SASP) in the high-risk group. In conclusion, the identified signature provides a robust tool for risk stratification and offers insights into the interplay between mitophagy, immune modulation, and therapeutic responses for breast cancer. Show less
Growth traits are among the most important economic phenotypes targeted in the genetic improvement of beef cattle. To understand the genetic basis of growth traits in Huaxi cattle, we performed a geno Show more
Growth traits are among the most important economic phenotypes targeted in the genetic improvement of beef cattle. To understand the genetic basis of growth traits in Huaxi cattle, we performed a genome-wide association study (GWAS) on body weight, eye muscle area, and back fat thickness across five developmental stages in a population of 202 Huaxi cattle. Additionally, publicly available RNA-seq data from the longissimus dorsi muscle of both young and adult cattle were analyzed to identify key genes and genetic markers associated with growth in Huaxi cattle. In total, 7.19 million high-quality variant loci (SNPs and INDELs) were identified across all samples. In the GWAS, the three multilocus models (FarmCPU, MLMM, and BLINK) outperformed the conventional single-locus models (CMLM, GLM, and MLM). Consequently, GWAS analysis was conducted using multilocus models, which identified 99 variant loci significantly associated with growth traits and annotated a total of 83 candidate genes (CDGs). Additionally, 23 of the 83 CDGs overlapped with significantly differentially expressed genes identified from public RNA-seq datasets of longissimus dorsi muscle between young and adult cattle. Furthermore, gene functional enrichment (KEGG and GO) analyses revealed that over 30% of the pathways and GO terms were associated with muscle development and fat deposition, crucial factors for beef production. Specifically, key genes identified included Show less
Apolipoprotein C3 (APOC3) and angiopoietin-like protein 8 (ANGPTL8) genes are related to lipid metabolism. The relationships between single nucleotide polymorphisms (SNPs) in the APOC3 and ANGPTL8 gen Show more
Apolipoprotein C3 (APOC3) and angiopoietin-like protein 8 (ANGPTL8) genes are related to lipid metabolism. The relationships between single nucleotide polymorphisms (SNPs) in the APOC3 and ANGPTL8 genes with metabolic dysfunction-associated steatotic liver disease (MASLD) remain controversial. This study aimed to investigate the associations between specific SNPs in the APOC3 and ANGPTL8 genes and MASLD risk, with a particular focus on the mediating role of triglycerides (TG). A total of 440 participants were enrolled and categorised into MASLD and control groups. Genotyping of APOC3 SNPs (rs5128, rs2854116 and rs2854117) and ANGPTL8 SNP (rs2278426) was conducted using polymerase chain reaction-restriction fragment length polymorphism or Sanger sequencing methods. Multivariate logistic regression was employed to estimate the associations between these SNPs and MASLD risk, and mediation analysis was performed to assess the potential mediating effect of TG. We found that APOC3 SNPs were associated with MASLD risk, with increased odds ratios (ORs) indicating a higher risk of MASLD: rs5128 CG + GG genotype (OR = 1.8, 95% CI = 1.1-2.8), rs2854116 TC + CC genotype (OR = 1.9, 95% CI = 1.1-3.1) and rs2854117 CT + TT genotype (OR = 1.9, 95% CI = 1.2-3.2). No association was found between ANGPTL8 rs2278426 and MASLD (p > 0.05). Mediation analysis revealed that TG significantly mediated these relationships, accounting for 80.25% of the effect for rs5128, 64.61% for rs2854116 and 62.59% for rs2854117. In summary, polymorphisms in APOC3 (rs5128, rs2854116 and rs2854117) were associated with MASLD risk, with TG serving as a potential mediating factor. In contrast, ANGPTL8 rs2278426 polymorphism did not show any association with MASLD. Show less