👤 Ying Bai

Hyperlipidemia is a common metabolic disorder and a risk factor for cardiovascular disease. The traditional medicine herb, Hippophae rhamnoides L., known as sea buckthorn, has anti-obesity and lipid-lowering effects, while Silybum marianum (L.) Gaertn, known as milk thistle, has hepatoprotective properties and exhibits antioxidant effects. To evaluate the effect of sea buckthorn and milk thistle solid beverage (H-S solid beverage) in alleviating hyperlipidemia in rats and explore the underlying mechanisms by analyzing plasma and liver metabolomics, lipidomics, and liver transcriptomics. A hyperlipidemic rat model was established after 2 weeks of high-fat diet (HFD) feeding in Sprague Dawley rats. The administered doses of H-S solid beverage were 0.30 g/kg/d, 0.15 g/kg/d and 0.075 g/kg/d. Serum biochemical parameter detection, histopathological section analysis, untargeted plasma and liver metabolomics, lipidomics, and liver transcriptomics were performed to determine the therapeutic effects of H-S solid beverage and predict the related pathways in rats with hyperlipidemia. Changes in genes and proteins related to lipid metabolism were detected using real-time quantitative polymerase chain reaction and western blotting. Eighty-nine components were identified in H-S solid beverage using ultra-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry, with flavonoids being the major constituents. The H-S solid beverage significantly reduced body weight, liver index, body fat percentage, lipid accumulation, and liver injury in HFD-fed rats. Fatty acids (FA), bile acid, phosphatidyl ethanolamine, phosphatidylcholine, triglyceride, cholesterol ester, diglyceride and phosphatidylinositol levels were significantly altered in the liver and plasma. Moreover, the transcriptomic analysis suggested that H-S solid beverage significantly altered the hepatic gene expression of cholesterol synthesis (Pdk4, Hmgcs1, and Dhcr24), lipogenesis (Scd, Angptl4, and Angptl8), and FA β-oxidation (Cpt1α, Pparδ, Acsl, Pgc-1α, and Pla2g2d). The solid beverage of sea buckthorn and milk thistle was firstly demonstrated to ameliorate HFD-induced hyperlipidemia. The lipid-lowering and hepatoprotective effects of H-S solid beverage significantly regulated cholesterol synthesis and de novo lipogenesis, as well as FA β-oxidation. In summary, this study highlights the potential of H-S solid beverages for the treatment of hyperlipidemia. Show less

Hepatocellular carcinoma (HCC) represents a particularly aggressive form of cancer, characterized by its rapid progression and a complex interplay with the surrounding immune cellular environment. The primary objective of this study was to comprehensively investigate the role of ANGPTL4 in the context of HCC, utilizing RNA sequencing (RNA-seq) techniques to explore its impact on the M2 polarization of tumor-associated macrophages (TAM) and to uncover potential mechanisms driving HCC progression. To achieve this, we performed a transcriptome analysis of HCC cell lines, alongside cells obtained after co-culturing these lines with macrophages. By comparing gene expression profiles between the experimental groups exposed to ANGPTL4 and control groups, we aimed to identify specific molecular pathways associated with ANGPTL4's function. In addition to gene expression analysis, we employed flow cytometry to assess the polarization status of TAM. Furthermore, we utilized immunohistochemistry to evaluate the distribution of macrophages within HCC tissues and to quantify the expression levels of M2 macrophage markers. The results derived from RNA-seq analysis were particularly revealing; treatment with ANGPTL4 led to a significant upregulation of genes linked to M2 polarization, notably including CD206 and Arg1. In subsequent experimental observations, it became evident that ANGPTL4 not only facilitated the M2 polarization of macrophages but also enhanced the proliferation and migratory capacity of HCC cells through the upregulation of these same cytokines. Show less

Inflammation is crucial in regulating coagulation and hemostasis. While prior research shows that apolipoprotein A-IV (ApoA-IV) has anti-inflammatory and antiplatelet effects, its specific impact on coagulation remains unclear. To investigate the effects of ApoA-IV on the coagulation system, including its interactions with potential targets and the underlying mechanisms. Plasma ApoA-IV levels in deep vein thrombosis patients were tested by enzyme-linked immunosorbent assay. The effects of ApoA-IV on coagulation were assessed through thromboelastography. Potential interactions and mechanisms were analyzed using surface plasmon resonance and AlphaFold 3. Mice bleeding and stroke models were employed to evaluate the effects on hemostasis and thrombosis. ApoA-IV levels were reduced in deep vein thrombosis patients and correlated with increased thrombotic risk. Thromboelastography showed that ApoA-IV treatment delayed clot reaction and kinetic times while decreasing thrombus generation angle and maximum amplitude, highlighting its crucial role in inhibiting coagulation and platelet aggregation. We identified ApoA-IV as a functional activator of activated protein C (APC), with critical interactions occurring at residues 144 to 148 within the exosite loop of the APC protease domain. In animal models, anti-ApoA-IV antibody administration shortened bleeding time but exacerbated ischemic stroke outcomes. Notably, inhibitory peptide HE5, which inhibits ApoA-IV-APC interaction, effectively counteracted the anticoagulant activity of ApoA-IV. These findings establish ApoA-IV as a pivotal regulator of coagulation and hemostasis, primarily through enhancing APC activity. This research advances our understanding of the interplay between inflammation, lipid metabolism, and thrombosis, offering insights for developing novel antithrombotic therapies. Show less

Cardiovascular disease (CVD) remains the leading cause of death worldwide, according to global statistics from the WHO and GBD, with the incidence of acute coronary syndromes (ACS) continuing to rise annually. This study aims to develop a nomogram model to predict the risk in ACS patients with hypertension, providing clinicians with a tool for early diagnosis, personalized treatment, and prognostic evaluation. Data were collected from ACS patients at Huangshi Aikang Hospital between 2018 and 2023. Patient characteristics, including age, sex, hypertension history, initial blood test results, and cardiac doppler ultrasonography findings, were recorded. ACS diagnosis followed the 2019 revised Guidelines for the Diagnosis and Treatment of Acute ST-Segment Elevation Myocardial Infarction (STEMI) by the Chinese Society of Cardiology. The 2024 Revised Guidelines for the Diagnosis and Treatment of Non-ST-Segment Elevation Acute Coronary Syndromes from the Chinese Journal of Cardiovascular Diseases were used for NSTEMI and unstable angina (UA) diagnoses. Statistical analyses were performed using SPSS (version 27.0.1) and R software (version 4.3.2), with statistical significance at P < 0.05. A total of 980 ACS patients were included in the study. Among the three clinical subtypes, 592 patients (60.4%) had UA, which was the most prevalent. The hypertensive group comprised 682 ACS patients (69.59%), with a mean age of 64.93 ± 9.51 years. Significant differences between hypertensive and non-hypertensive groups were found in sex (P = 0.001), age (P < 0.001), clinical subtype (P < 0.001), and several clinical and laboratory parameters, including creatinine (Cr) (P < 0.001), left ventricular ejection fraction (LVEF) (P = 0.049), left ventricular posterior wall thickness (LVPW) (P = 0.003), CK-MB (P = 0.019), AST (P = 0.028), total cholesterol (TC) (P = 0.035), LDL-C (P = 0.007), and APOB (P = 0.005). Using LASSO regression, nine variables were selected for multivariate logistic regression analysis, leading to the construction of the nomogram model. The calibration curve, Hosmer-Lemeshow test, ROC curve, decision curve, and clinical impact curve all demonstrated the model's high quality. A high-quality predictive nomogram model for assessing the risk of ACS in patients with hypertension has been developed. This model can assist clinicians in early diagnosis, personalized treatment, and prognostic evaluation. Show less

Dyslipidemia and oxidative stress are key components in the pathophysiology of gestational diabetes mellitus (GDM), yet the contribution of genetic factors to these metabolic disturbances remains unclear. This study aimed to investigate the relationship between two lipid-related genetic polymorphisms, apolipoprotein C1 (apoC1) gene -317H1/H2 (rs1568822) and rs4420638, with GDM risk and lipid profiles and oxidative stress markers in Chinese populations. The apoC1 -317H1/H2 and rs4420638 polymorphisms were genotyped in 734 GDM patients and 1,102 control subjects. Genetic association with GDM risk and related traits were also analyzed. The distribution of genotype and allele in both polymorphisms were similar between the two groups. However, the combined H1H1/AG+GG genotype was significantly more frequent in women with GDM than in the control group. GDM patients who carried H1H1/AG+GG genotype were 1.97-fold increased risk to develop GDM (95% CI: 1.140-3.414, ApoC1 gene polymorphisms associate with GDM risk and affect the lipid profile. The combined H1H1/AG+GG genotype of the apoC1 gene polymorphisms appears to augment the propensity to develop GDM, while the rs4420638 polymorphism links to adverse lipid components in the patients. Further genetic studies to add information beyond the traditional risk factors in GDM and to identify risk genotypes will help in early prediction and identification of at-risk patients. Show less

Lipid metabolism abnormalities and inflammation have been implicated in gallstone disease (GSD) development, but the causal relationships and potential mediation effects among lipid metabolites, inflammatory factors, and GSD remain unclear. The aim of this study is to explore the causal relationships among these 3 factors. This study employed 2-sample Mendelian Randomization (TSMR) and 2-step MR to investigate the causal relationships and potential mediation effects among 91 inflammatory factors, 6 lipid metabolism-related molecules (HDL-C, LDL-C, TG, total cholesterol, ApoA1, and ApoB), and GSD. We opted for 4 distinct MR analysis methods including inverse variance weighted method, weighted median method, MR-Egger regression method and MR-PRESSO analysis. Sensitivity analyses included MR-Egger intercept tests, Cochran's Q statistic, Steiger tests, and leave-one-out analyses. Product of coefficients method was used to estimate mediation proportion. TSMR analysis revealed that every 1-unit increase in low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), apolipoprotein A1 (ApoA1), and apolipoprotein B (ApoB), the risk of GSD decreased by 16.5%, 10.2%, 8.4%, and 13.1%, respectively. Inflammatory factors such as Natural killer cell receptor 2B4 (CD244), Macrophage colony-stimulating factor 1 (CSF-1), and interleukin-18 receptor 1 (IL-18R1) were identified as risk factors for GSD, while Fibroblast growth factor 19 levels (FGF19), Interleukin-1-alpha levels (IL-1α), and Interleukin-8 levels (IL-8) were found to be protective. Mediation analysis through 2-step MR identified potential pathways involving ApoA1--IL-8--GSD (P = .084) and IL-1α--ApoB--GSD (P = .117). This study provides robust evidence of causal links between specific lipid metabolites and GSD, as well as suggestive causal associations for several inflammatory factors. However, mediation analysis did not support significant roles for lipids or inflammatory factors as mediators in GSD pathogenesis. Future research could be further pursued in areas such as drug target intervention and mechanistic studies. Show less

Emerging lipid-modifying agents show potential but lack evidence for the management of uric acid and gout. We aimed to explore the causal effects of lipid traits, lipid-modifying drugs on uric acid levels and risk of gout. Two-sample MR analyses were performed to investigate the associations of genetically predicted lipid traits (LDL-C, HDL-C and TG) and lipid-modifying drug targets (PCSK9, HMGCR, NPC1L1, CETP, ABCG5/G8, APOB, LDLR, LPL, ANGPTL3, and APOC3) with uric acid levels and gout risk. Validation analyses were performed using the independent cohort of the UK Biobank. Summary-data-based MR was further conducted to estimate the associations of the expression of drug target genes with the outcomes. Genetically predicted lower HDL-C and higher TG were significantly associated with elevated uric acid levels ( The online version contains supplementary material available at 10.1007/s43657-024-00212-7. Show less

To assess the association between the single nucleotide polymorphisms (SNP) rs174575 and rs2845574 of the fatty acid desaturase 2 (FADS2) gene and gestational diabetes mellitus (GDM). A total of 1 514 pregnant women who visited West China Second University Hospital of Sichuan University between January 1, 2013 and December 31, 2021 were enrolled in this study. Among them, 583 were diagnosed with gestational diabetes mellitus (GDM group), and 931 had normal pregnancies (control group). The SNPs rs174575 and rs2845574 of the FADS2 gene were analyzed using Sanger DNA sequencing. Plasma levels of insulin (INS), apolipoprotein A1 (apoA1) and apolipoprotein B (apoB) were measured using enzymatic methods, chemiluminescence and immunoturbidimetry. This study was approved by the Medical Ethics Committee of the West China Second University Hospital of Sichuan University (Ethics No.: 2020-036). The main genotype at the rs174575 C/G and rs2845574 C/T loci were CC in both GDM and control groups. No significant difference was found between the GDM and control groups regarding the genotypic or allelic frequencies of rs174575 and rs2845574 sites (P > 0.05). Among the GDM group, individuals with the GG genotype at the rs174575 site had lower plasma HDL-C levels compared to those with the CC genotype (P < 0.05), and had higher atherogenic indices (AI) compared with the CC and CG genotype (P < 0.05; P < 0.05). Individuals with the TT genotype at the rs2845574 site had higher AI compared with the CT genotype (P < 0.05). Among the control group, individuals with the GG genotype had lower diastolic blood pressure (DBP) compared to those with the CC genotype (P < 0.05). Additional subgroup analysis demonstrated that the rs174575 polymorphism was associated with AI levels in obesity subgroup of GDM, TG levels in non-obese subgroup of control and DBP levels in the obese subgroup of control (P < 0.05; P < 0.05; P < 0.05). The FADS2 rs174575 and rs2845574 polymorphisms in GDM patients are associated wit HDL-C and AI levels, and the FADS2 rs174575 polymorphisms was also associated with DBP levels in normal pregnant women. The AI and DBP levels have a BMI-dependent effect. Show less

The risk factors and clinical prediction of cardiovascular comorbidities in patients with breast cancer have not been fully clarified. This retrospective case-control study was designed to investigate the factors affecting myocardial ischemia occurrence in breast cancer patients. A total of 194 cases (144 breast cancer and 50 benign breast tumor patients) were included. Univariate and multivariable Cox regression found that ApoB, age, and HER2 were significant factors responsible for the myocardial ischemia occurrence in breast cancer patients. By comparing the significance of ApoB in breast cancer patients versus benign breast tumor patients, it was observed that ApoB and HER2 were crucial predictors of myocardial ischemia in breast cancer patients compared to those with benign breast tumors. These factors were utilized to construct the clinical prediction model, achieving a combined area under the curve (AUC) of 0.583. The decision curve analysis (DCA) indicated that the model-predicted population, within a threshold ranging from 0.35 to 0.70, would experience a therapeutically clinical net benefit. Kaplan-Meier plot indicated that ApoB We demonstrated that ApoB and HER2 were potential factors in predicting the myocardial ischemia occurrence in breast cancer patients. This study will help provide clinical evidence for the early prediction of cardiovascular comorbidities in breast cancer patients. Show less

Liver cancer is the sixth most frequent malignancy and the fourth major cause of deaths worldwide. The current treatments are only effective in early stages of cancer. To overcome the therapeutic challenges and exploration of immunotherapeutic options, broad spectral therapeutic vaccines could have significant impact. Based on immunoinformatic and integrated machine learning tools, we predicted the potential therapeutic vaccine candidates of liver cancer. In this study, machine learning and MD simulation-based approach are effectively used to design T-cell epitopes that aid the immune system against liver cancer. Antigenicity, molecular weight, subcellular localization and expression site predictions were used to shortlist liver cancer associated proteins including AMBP, CFB, CDHR5, VTN, APOBR, AFP, SERPINA1 and APOE. We predicted CD8+ T-cell epitopes of these proteins containing LGEGATEAE, LLYIGKDRK, EDIGTEADV, QVDAAMAGR, HLEARKKSK, HLCIRHEMT, LKLSKAVHK, EQGRVRAAT and CD4+ T-cell epitopes of VLGEGATEA, WVTKQLNEI, VEEDTKVNS, FTRINCQGK, WGILGREEA, LQDGEKIMS, VKFNKPFVF, VRAATVGSL. We observed the substantial physicochemical properties of these epitopes with a significant binding affinity with MHC molecules. A polyvalent construct of these epitopes was designed using suitable linkers and adjuvant indicated significant binding energy (>-10.5 kcal/mol) with MHC class-I and II molecule. Based on in silico cloning, we found the considerable compatibility of this polyvalent construct with the E. coli expression system and the efficiency of its translation in host. The system-level and machine learning based cross validations showed the possible effect of these T-cell epitopes as potential vaccine candidates for the treatment of liver cancer. Show less

Gastric cancer (GC) exhibits marked heterogeneity, patients with identical stage receive divergent outcomes. Metabolic reprogramming and aging are pivotal in reshaping the tumor microenvironment. However, their interplay in GC prognosis remains unexplored. We analyzed RNA-seq and clinical data from The Cancer Genome Atlas Program and Gene Expression Omnibus databases. Using univariate Cox, LASSO, and multivariate Cox regression, we identified candidate genes and constructed a prognostic signature. Immune contexture, genomic alterations and drug sensitivity were compared between high- and low-risk group. The metabolic and aging related risk score, comprising 4 genes (GNAI1, GSTA1, APOC3, and LOX), was developed. Validation across multiple cohorts confirmed its robust prognostic performance. The model also effectively stratified patients into distinct risk subgroups with differential immune profiles and responses to immunotherapy. Notably, high-risk patients showed reduced sensitivity to common chemotherapeutic agents but may benefit from targeting the PI3K/mTOR pathway. Metabolic and aging related risk score serves as a promising tool for individualized risk assessment and therapeutic guidance in GC, warranting further clinical validation. Show less

Earthworms are valued as a dietary protein source in many regions. Earthworm protein can yield bioactive peptides, but enzymatic hydrolysis is inefficient by commercial proteases, and bioactivity development is still inadequate. This study developed a novel efficient method for degrading earthworm protein and investigated the lipid-lowering activity and mechanism of earthworm peptides. It was found that combining autolysis and alcalase exhibited a higher hydrolysis degree of earthworm protein of 43.64 ± 0.78% compared to using autolysis or alcalase only. The hydrolysate significantly reduced lipid accumulation in steatotic hepatocytes. LC-MS/MS results showed that the primary lipid-lowering peptides (EWPs) in the hydrolysate were small molecule peptides with molecular weights of 500-1000 Da and chain lengths of 4-7 amino acid residues. Western blot results demonstrated that EWP regulated the expression of lipid metabolism-related proteins, including APOC3, HMGCR, PCSK9, SREBP1, C/EBP-α, NPC1L1, PPAR-γ, and CYP7A1. Transcriptomic analysis and validation experiments indicated that the lipid-lowering activity of EWP was associated with its suppression of inflammatory factors, such as IL-6. This study presents an efficient enzymatic hydrolysis strategy for earthworm protein utilization, laying the foundation for its application in functional foods such as protein supplements, nutraceutical capsules, hypoallergenic infant formulas, and sports nutrition products. Show less

Residual feed intake (RFI) has recently gained attention as a key indicator of feed efficiency in poultry. In this study, 800 slow-growing ducks with similar initial body weights were reared in an experimental facility until they were culled at 42 d of age. Thirty high RFI (HRFI) and 30 low RFI (LRFI) birds were selected to evaluate their growth performance, carcass characteristics, and muscle development. Transcriptome and weighted gene co-expression correlation network analyses of pectoral muscles were conducted on six LRFI and six HRFI ducks. The results revealed that selecting for LRFI significantly reduced feed consumption (P < 0.05) and improved feed efficiency without affecting the growth performance, slaughter rate, or meat quality of ducks (P > 0.05). Moreover, compared with HRFI ducks, LRFI ducks had a lower pectoral muscle fat content (P < 0.05), larger muscle fiber diameter and area (P < 0.05), and lower muscle fiber density (P < 0.05). There were significant differences in gene expression between LRFI and HRFI ducks, with 102 upregulated and 258 downregulated genes, which were enriched in the PPAR signaling pathway, adipocytokine signaling pathway, actin cytoskeleton regulation, ECM-receptor interaction, and focal adhesion. The expression of genes associated with fat and energy metabolism, including ACSL6, PCK1, APOC3, HMGCS2, PRKAG3, and G6PC1, was downregulated in LRFI ducks, and weighted gene co-expression correlation network analysis identified PRKAG3 as a hub gene. Our findings indicate that reduced mitochondrial energy metabolism may contribute to the RFI of slow-growing ducks, with PRKAG3 playing a pivotal role in this biological process. These findings provide novel insights into the molecular changes underlying RFI variation in slow-growing ducks. Show less

Sleep Deprivation (SD) severely disrupts emotional regulation, predisposing individuals to mood disturbances and anxiety. However, the precise mechanisms underlying anxiety triggered by sleep loss remain elusive. In this study, a mouse model of chronic SD was established using a continuously running treadmill paradigm for 28 days. SD induced anxiety-like behaviors and hippocampal ApoE downregulation. Furthermore, SD downregulated the expression of the autophagy-related protein ATG5 and upregulated p62. In addition, SD inhibited AMPK phosphorylation and induced mTOR phosphorylation. Levels of pro-inflammatory cytokines, including TNF-α, IL-1β, and IL-18, were markedly increased. Immunofluorescence staining revealed a notable increase in the activation of microglia and astrocytes in the hippocampi of SD mice. Either hippocampal overexpression of ApoE via bilateral AAV injection or rapamycin treatment significantly alleviated anxiety-like behaviors, enhanced autophagy, and reduced neuroinflammation in SD mice. Thus, SD induces anxiety by suppressing autophagy level. This effect is mediated through the inhibition of ApoE-dependent AMPK phosphorylation and the concomitant promotion of mTOR phosphorylation, revealing a potential therapeutic target. Show less

This study aims to compare the protein expression profiles of plasma-derived exosomes in patients with sudden sensorineural hearing loss (SSNHL) and normal hearing control groups to identify exosome proteins that may be associated with SSNHL or serve as biomarkers for SSNHL. Researchers collected peripheral venous blood from SSNHL patients and healthy controls for exosome isolation. The isolated exosomes were identified through nanoparticle tracking analysis, transmission electron microscopy observation, and Western blotting, followed by total protein extraction for proteomic sequencing. Differential expression proteins (DEPs) were screened using the threshold criteria of Researchers isolated exosomes from plasma and identified them through particle size analysis, morphological observation, and expression of exosome marker proteins. Comparative studies with healthy individuals revealed 363 DEPs in SSNHL. Additionally, 515 DEPs were identified in mild sudden deafness (MilSSNHL) and healthy controls, 982 in moderate cases (ModSSNHL) and healthy controls, and 1,161 in profound cases (ProSSNHL) and healthy controls. These proteins are involved in signaling pathways enriched by DEPs. Validation experiments demonstrated that the expression levels of these proteins consistently matched their sequencing results, ensuring high reliability. Furthermore, these candidate proteins show significant diagnostic potential for SSNHL. The four extracellular proteins identified in this study, including RPS2, RPL19, ACO2 and APOE, may be closely related to the occurrence and development of SSNHL or serve as biomarkers for the diagnosis and staging of SSNHL. Show less

Histone deacetylase 3 (HDAC3) is an epigenetic modifying enzyme closely linked to the development of atherosclerosis. Endothelial inflammation is a critical factor in atherosclerosis. However, the role of HDAC3 in mediating epigenetic modifications and regulating endothelial inflammation in atherosclerosis remains unclear. This study aims to investigate the impact of HDAC3 on endothelial inflammation and its contribution to atherosclerosis. Firstly, single-cell transcriptomic analysis identified elevated expression of HDAC3 and nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) in inflammatory endothelial cells of atherosclerotic plaques in symptomatic patients. Endothelial-specific knockout HDAC3 in an apolipoprotein E knockout (ApoE Show less

Evidence is accumulating that links gut microbiota, a crucial component of the immune environment, to Sjogren's syndrome (SS). The mechanisms underlying the influence of gut microbiota on the onset and development of SS are still not completely understood. To this end, we applied a Mendelian randomization (MR) framework to investigate whether inflammatory cytokines mediate the association of gut microbiota with SS. Our MR analysis leveraged publicly available GWAS data, including information on 211 gut microbiota taxa sourced from the MiBioGen consortium (18,340 participants), summary statistics for 91 inflammatory cytokines obtained from a study of 14,824 individuals, and genetic data for SS derived from the UK Biobank (407,746 participants). To investigate causal associations between gut microbiota and SS, we primarily employed the inverse variance weighted method, supported by additional techniques such as MR-Egger, simple mode, weighted median, and weighted mode for validation. The potential mediating effect of inflammatory cytokines in the gut microbiota-SS relationship was investigated using both mediation MR and multivariable MR (MVMR) analyses. MR analysis identified five microbiota taxa causally associated with SS. Particularly, class Gammaproteobacteria (OR = 3.468, 95% CI = 1.139-10.557, The findings suggest that certain gut microbiota is sociated with an increased risk of SS, mediated by specific inflammatory cytokines. Show less

The Wnt/β-catenin signaling pathway is a classical pathway that regulates bone metabolism. The G protein inhibitory α subunits 1 and 3 (Gαi1/3) can couple with multiple growth factor/cytokine receptors and act as universal adaptor proteins to mediate the activation of key downstream signaling pathways. However, it remains unclear whether and how Gαi1/3 proteins mediate Wnt/β-catenin signal transduction. In this study, we utilized single-cell sequencing analysis and employed viral transfection and gene editing techniques to alter the expression of Gαi1/3 in mouse embryonic osteoblast precursor cells. We examined the relationship between Gαi1/3 expression and the Wnt/β-catenin signaling pathway. Immunoprecipitation and confocal experiments were conducted to further explore the mechanisms by which Gαi1/3 exerts its functions. Osteogenic-related protein levels were detected by Western blotting, and the effects of Gαi1/3 proteins on osteogenic function were examined through alkaline phosphatase and Alizarin red staining. Additionally, micro-CT was used to compare bone mass in mice with different levels of Gαi1/3 expression, showing the relationship between Gαi1/3 and bone formation. Our findings indicate that Gαi1/3 proteins are significantly inversely correlated with age. Gαi1/3, rather than Gαi2, mediates the Wnt/β-catenin signaling pathway and promotes osteogenesis. Mechanistically, Gαi1/3 interacts with Axin1 and recruits it to the cell membrane, leading to inactivation of the β-catenin degradation complex. This results in β-catenin accumulation and nuclear translocation, where it activates the transcription of osteogenic genes. In vivo experiments further confirm that knockdown of Gαi1/3 significantly inhibits bone formation in mice. Our study identified Gαi1/3 as key regulatory proteins in Wnt/β-catenin signaling-mediated osteogenesis, and further elucidated its molecular mechanism in bone formation, which may provide a new therapeutic target for osteoporosis. Show less

Mitochondrial dysfunction is increasingly recognized as a key factor in neurodegenerative diseases (NDDs), underscoring the therapeutic potential of targeting mitochondria-related genes. This study aimed to identify novel biomarkers and drug targets for these diseases through a comprehensive analysis that integrated genome-wide Mendelian randomization (MR) with genes associated with mitochondrial function. Using existing publicly available genome-wide association studies (GWAS) summary statistics and comprehensive data on 1136 mitochondria-related genes, we initially identified a subset of genes related to mitochondrial function that exhibited significant associations with NDDs. We then conducted colocalization and summary-data-based Mendelian randomization (SMR) analyses using expression quantitative trait loci (eQTL) to validate the causal role of these candidate genes. Additionally, we assessed the druggability of the encoded proteins to prioritize potential therapeutic targets for further exploration. Genetically predicted levels of 10 genes were found to be significantly associated with the risk of NDDs. Elevated DMPK and LACTB2 levels were associated with increased Alzheimer's disease risk. Higher expression of NDUFAF2, BCKDK, and MALSU1, along with lower TTC19, raised Parkinson's disease risk. Higher ACLY levels were associated with both amyotrophic lateral sclerosis and multiple sclerosis (MS) risks, while decreased MCL1, TOP3A, and VWA8 levels raised MS risk. These genes primarily impact mitochondrial function and energy metabolism. Notably, several druggable protein targets identified are being explored for potential NDDs treatment. This data-driven MR study demonstrated the causal role of mitochondrial dysfunction in NDDs. Additionally, this study identified candidate genes that could serve as potential pharmacological targets for the prevention and treatment of NDDs. © 2025 International Parkinson and Movement Disorder Society. Show less

Diabetes mellitus (DM) and tuberculosis (TB) are two global health challenges that significantly impact population health, with DM increasing susceptibility to TB infections. However, early risk prediction methods for DM patients complicated with TB (DM-TB) are lacking. This study mined transcriptome data of DM-TB patients from the GEO database (GSE181143 and GSE114192) and used differential analysis, weighted gene co-expression network analysis (WGCNA), intersecting immune databases, combined with ten machine learning algorithms, to identify immune biomarkers associated with DM-TB. An early alert model for DM-TB was constructed based on the identified core differentially expressed genes (DEGs) and validated through a prospective cohort study and reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) for gene expression levels. Furthermore, we performed a detailed immune status analysis of DM-TB patients using the CIBERSORT algorithm. We identified 1090 DEGs associated with DM-TB and further pinpointed CETP (cholesteryl ester transfer protein) (AUC = 0.804, CI: 0.744-0.864), TYROBP (TYRO protein tyrosine kinase binding protein) (AUC = 0.810, CI: 0.752-0.867), and SECTM1 (secreted and transmembrane protein 1) (AUC = 0.811, CI: 0.757-0.864) as immune-related biomarkers for DM-TB patients. An early alert model was developed based on these three genes (AUC = 0.86, CI: 0.813-0.907), with a sensitivity of 0.80829 and a specificity of 0.75758 at a Youden index of 0.56587. External validation using the GSE114192 dataset showed an AUC of 0.901 (CI: 0.847-0.955). Population cohort research and RT-qPCR verified the expression levels of these three genes, demonstrating consistency with trends seen in the training set. KEGG enrichment analysis revealed that NF-κB and MAPK signaling pathways play crucial roles in the DM-TB pathogenic mechanism, and immune infiltration analysis showed significant suppression of certain adaptive immune cells and activation of inflammatory cells in DM-TB patients. This study identified three potential immune-related biomarkers for DM-TB, and the constructed risk assessment model demonstrated significant predictive efficiency, providing an early screening strategy for DM-TB. Show less

Hypertrophic cardiomyopathy (HCM) is an important cause of morbidity and mortality with both monogenic and polygenic components. Here, we report results from a large genome-wide association study and multitrait analysis including 5,900 HCM cases, 68,359 controls and 36,083 UK Biobank participants with cardiac magnetic resonance imaging. We identified 70 loci (50 novel) associated with HCM and 62 loci (20 novel) associated with relevant left ventricular traits. Among the prioritized genes in the HCM loci, we identify a novel HCM disease gene, SVIL, which encodes the actin-binding protein supervillin, showing that rare truncating SVIL variants confer a roughly tenfold increased risk of HCM. Mendelian randomization analyses support a causal role of increased left ventricular contractility in both obstructive and nonobstructive forms of HCM, suggesting common disease mechanisms and anticipating shared response to therapy. Taken together, these findings increase our understanding of the genetic basis of HCM, with potential implications for disease management. Show less

The balance between proliferation and persistence of pseudorabies virus (PRV) in the host is crucial for its long-term survival. Understanding the mechanisms that regulate viral survival may offer new strategies for disease prevention and control. The immediate-early gene 180 (IE180) is essential for PRV replication, and we previously identified a G-quadruplex (PQS18-1) located in the 3' untranslated region (3'UTR) of IE180 that enhances its expression and promotes viral replication. However, the mechanisms by which this G-quadruplex is unwound and contributes to immune evasion remain unclear. In this study, we identified the host helicase DHX36 as a binding partner of PQS18-1 through RNA pull-down assays. Both in vitro and cellular experiments demonstrated that DHX36 destabilizes the G-quadruplex, thereby suppressing gene expression and regulating PRV replication. Our findings reveal a novel host-virus interaction mechanism involving G-quadruplex structures and helicase activity, which may offer new targets for therapeutic intervention. Show less

The beak bean, found only in waterfowl and Galliformes, aids in foraging, self-defense and pecking hard objects. Its rich coloration results from prolonged evolutionary adaptation. This study analyzed beak bean phenotypes of duck at 10, 20, 30 and 40 days of age, revealing that the most common type is the black beak bean, characterized by melanin deposition on the beak surface. This study performed single nucleotide polymorphism (SNP)-based genome-wide association studies (GWASs) to investigate the genetic basis of beak bean color, identifying signals on chromosome 1. The copy number variation region-based GWAS revealed a consistent candidate region overlapping with the SNP-based GWAS signals, further supporting the importance of this genomic region. Locus zoom analysis further refined the candidate regions to 48.5-50.5 and 50.8-52.8 Mb. Functional enrichment analysis highlighted six candidate genes within these regions: KITLG, DUSP6, GALNT4, MGAT4C, ATP2B1 and NTS. Notably, KITLG and DUSP6, which are linked to melanin production, were identified as key candidate genes for beak bean color. Our finding revealed the genetic basis of the bean color traits for the first time in ducks, providing a theoretical foundation and technological framework for enhancing duck beak coloration. Show less

Chronic kidney disease (CKD) is highly prevalent, incurable, and lacks effective treatments. Aging is closely linked to various kidney diseases. In this study, we combined CKD and aging using bioinformatics approaches to identify potential anti aging drugs and therapeutic targets for CKD. We analyzed datasets GSE37171 and GSE66494 from the GEO database, identifying 317 differentially expressed genes (DEGs). By intersecting these DEGs with aging related genes, we identified 23 aging associated differential genes (ARDEGs). A protein-protein interaction (PPI) network was constructed using the STRING database, and the top 10 hub ARDEGs were identified using Cytoscape software. Potential anti aging drugs, including Cinnamaldehyde, were identified through the ceRNA and transcription factor regulatory networks, as well as the DGldb database. Among the key regulatory genes identified in CKD patient samples were SOD2, FGF21, FOS, RELA, DDIT4, BMI1, DUSP6, LGALS3, CXCR2, and CEBPB. Cinnamaldehyde and other drugs were found to target aging associated pathways, suggesting their potential to delay CKD progression through modulating these pathways. Finally, we verified the low-expression of DDIT4 and DUSP6, the two targets of Cinnamaldehyde, in unilateral ureteral obstruction (UUO) animal model. Additionally, Cinnamaldehyde was shown to reduce the expression of fibrosis markers such as fibronectin (FN) and α-smooth muscle actin (α-SMA) in HK2 cells under TGF-β1 stimulation. This study provides a foundational understanding of aging related molecular targets in CKD and offers new directions for developing anti aging therapies to treat CKD. Show less

Here, we identified a type of hypothetical T7SS effector in This alternative strategy facilitates effectors' delivery, even for fragmented substrates, highlighting its importance in ensuring the functionality of T7SS. Show less

Diabetic kidney disease (DKD) is a severe global complication of diabetes, yet its molecular mechanisms remain incompletely understood. This study aimed to investigate the role of protein glycosylation in DKD pathogenesis and its association with gene expression changes, with the goal of identifying diagnostic biomarkers and personalized therapeutic targets. Integrated bioinformatics and machine learning approaches were applied to analyze multiple gene expression datasets. Differentially expressed glycosylation-related genes were identified, followed by unsupervised clustering to define molecular subtypes. Functional enrichment, immune cell infiltration analysis, and machine learning algorithms (including feature selection for hub genes) were employed. qPCR validation was performed on clinical DKD and normal kidney tissues, and ROC curves were generated to assess diagnostic potential. Unsupervised clustering of glycosylation-related genes revealed two distinct DKD molecular subtypes with differential pathway activation (e.g., extracellular matrix remodeling) and immune infiltration patterns. Six hub genes (S100A12, EXT1, SBSPON, ADAMTS1, FMOD, SPTB) were identified as critical to DKD pathogenesis through machine learning. Immune infiltration analysis showed significant differences in macrophage and neutrophil activity between DKD and controls and Immunohistochemical results confirmed the occurrence of immune infiltration. qPCR validation confirmed dysregulation of hub genes in DKD tissues compared to normal samples. ROC analysis demonstrated high diagnostic accuracy for these genes. This study highlights abnormal protein glycosylation as a key player in DKD and identifies six hub genes with potential as diagnostic biomarkers. The molecular subtypes and immune infiltration patterns provide insights into disease heterogeneity, paving the way for personalized therapies. Future studies should validate these findings in larger cohorts with explicit sample sizes to strengthen clinical applicability. Show less

Gallstone disease (GD) is a common gastrointestinal disorder with a significant genetic component. Despite known risk factors, the genetic basis of GD remains incompletely understood. We aimed to identify novel genetic loci associated with GD, explore their clinical implications and investigate their therapeutic potential. We conducted a genome-wide association study from the UK Biobank followed by a meta-analysis, integrating summary statistics from the FinnGen R11, with further replication from Biobank Japan. Using systematic bioinformatic approaches, we performed gene prioritisation, colocalisation analysis, transcriptome-wide association study, Mendelian randomisations, cross-trait genetic correlations, phenome-wide association study, clinical investigations and gene-environment interactions by leveraging data from the FinnGen, Genotype-Tissue Expression project and Liver Cell Atlas single-cell transcriptomics data set. Our study highlighted novel susceptibility loci near candidate genes (ie, This study provides new insights into the genetic basis of GD and highlights the role of hepatocytes in GD pathogenesis. These findings have implications for the personalised prevention strategies and new therapeutic interventions in individuals predisposed to GD. Show less

Kidney renal clear cell carcinoma (KIRC), the predominant subtype of renal cell carcinoma, poses significant health risks. The rapid progression and resistance to targeted therapies highlight the need for new tumor markers and therapeutic targets. FADS1, part of the fatty acid desaturase family, regulates fatty acid synthesis and participates in lipid metabolism. However, its role in KIRC is not well-studied. The study utilized bioinformatics analysis through the TCGA database and other platforms to identify FADS1 expression levels in KIRC. Twenty pairs of KIRC clinical tissue samples were used for qPCR verification. Meanwhile, eight pairs of KIRC clinical tissue samples were used for Western blot verification. Conduct statistical evaluation, including Wilcoxon rank sum test and Kaplan-Meier analysis, to explore the correlation between FADS1 expression and clinical pathological features and immune infiltration. In addition, in vitro experiments were conducted to confirm the biological function of FADS1. The findings indicated that FADS1 is highly expressed in KIRC and contributes to tumor development. FADS1's role in lipid metabolism leads to lipid accumulation within tumor cells, which may influence the occurrence and progression of KIRC. TIMER analysis revealed a correlation between FADS1 expression and the infiltration levels of various immune cells, indicating its potential role in modulating immune characteristics. FADS1 could serve as a prognostic biomarker associated with immunity in KIRC, highlighting its potential as a diagnostic and therapeutic target. The study underscores the importance of further research into FADS1's role in lipid metabolism and immune infiltration to develop effective therapeutic strategies. Show less

The abnormal accumulation of lipid droplets in clear cell renal cell carcinoma (ccRCC) is related to metabolic reprogramming. However, the mechanism between metabolic reprogramming and tumor progression in ccRCC remains to be explored. Utilize multiple omics technologies to predict the relationship between fatty acid metabolism and tumor progression, and identify the key regulatory proteins and mechanisms. The role of proteins in influencing tumor progression and fatty acid metabolism was explored from both in vivo and in vitro. The mechanism of the regulatory protein was analyzed and verified by co-immunoprecipitation and mass spectrometry. Multimodal analysis revealed that fatty acid desaturase 3 (FADS3), as a key molecule connecting fatty acid metabolism and Epithelial-mesenchymal transition (EMT), was upregulated in clinical samples of ccRCC and participated in the immune regulation, and was positively correlated with clinical stage and poor prognosis. Functionally, FADS3 promoted cell proliferation and EMT in vivo and in vitro as well as sunitinib resistance, and induced fatty acid synthesis and lipid droplet storage. Mechanistically, FADS3 activates the phosphorylation of Smad2/3 through autocrine Transforming Growth Factor-β (TGF-β). The lipid droplets induced by FADS3 could act as a reservoir of acetyl-CoA, promoting the acetylation of Smad2 and inducing the upregulation of TGF-β receptors, thereby promoting the proliferation and EMT. Our study confirmed FADS3 as a key intermediate protein regulating fatty acid metabolism and tumor progression, which was expected to be a potential diagnostic and prognostic biomarker for ccRCC. Show less

Aging is an inevitable process integrating chronological alterations of multiple organs. A growing aging population necessitates feasible anti-aging strategies to deal with age-associated health problems. We previously performed a proteomics analysis in a healthy-aging cohort, and revealed an age-related downregulation of ARMH4. Here we generate a whole-body Armh4-knockout mouse line, and investigate its impact on systemic aging. Under normal feeding conditions, Armh4 deficiency significantly lowers spontaneous mortality and extends maximum lifespan. In the female mice, Armh4 deficiency postpones sexual maturity for one week. At the organ level, the age-related pathologies of the heart, liver, kidney, and spleen are substantially alleviated by Armh4 deletion. Mechanistically, ARMH4 interacts with IGF1R/FGFR1 to sensitize the activation of PI3K-Akt-mTORC1 and Ras-MEK-ERK pathways, consequently promoting protein synthesis and inhibiting autophagy. Moreover, ARMH4 is required for the maintenance of IGF1R/FGFR1 expressions through regulating the transcription factor c-Myc. Therefore, ARMH4 maintains a positive-feedback growth signaling to promote aging. Show less