👤 Fuping Zhao

Atrial fibrosis serves as a key pathological basis for atrial fibrillation, significantly elevating the risk of cardiovascular events. However, its molecular mechanisms remain incompletely understood. N⁶-methyladenosine (m6A) modifications have been proven to involve in the pathological processes of cardiovascular diseases, yet its role in atrial fibrosis remains unclear. m6A plays an important role in disease pathogenesis via mRNA modification. This study aimed to define the role of m6A modifications in the fibrotic atria of rats with chronic intermittent hypoxia (CIH). A CIH model was established using rats living in an intermittent hypoxia simulation chamber filled with oxygen and nitrogen. Myocardial function and atrial fibrosis were examined by echocardiography, electrophysiology, and histopathology. Methylated RNA immunoprecipitation sequencing (MeRIP-Seq) and mRNA sequencing (mRNA-Seq) were performed on atria from control and CIH rats to identify differential m6A methylated genes and transcripts and further analyze their coexistence. Functional enrichment of the conjoint genes was analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes assays. m6A distribution of the conjoint gene ANGPTL4 (angiopoietin like 4) was also observed. ANGPTL4 and m6A-related gene expression levels were determined by quantitative real-time polymerase chain reaction. CIH led to electrical conduction dysfunction and abnormal expression of fibrosis-associated proteins, indicating successful atrial fibrosis. Conjoint analysis identified 10 genes with upregulated m6A peaks and transcripts and 24 genes with downregulated m6A peaks and transcripts. These genes were functionally enriched in the calcium ion transport-related and fibrosis pathways (extracellular matrix receptor interaction). The m6A modification level of ANGPTL4 mRNA and the expression of four m6A regulatory enzymes were significantly different between control and CIH rats. Our results revealed that m6A modification plays a crucial role in atrial fibrosis and may provide new therapeutic strategies for this disease. Show less

The global increase in muscle weakness poses a critical public health concern. Nutritional interventions that improve muscular function hold promise as a therapeutic potential. Vitamin A (VA) and its active metabolites have been implicated in muscle development and the transformation of muscle fiber types. However, conventional VA formulations are restricted by poor stability and low bioavailability. In this study, a stable Nano VA was utilized to systematically evaluate its effects on muscle development and exercise performance in mice, as well as to explore its underlying mechanisms. A total of 44 male C57BL/6J mice were randomly divided into four groups: (i) normal control (NC), (ii) 5 mg/kg Nano VA (5 NVA), (iii) 10 mg/kg Nano VA (10 NVA), and (iv) 10 mg/kg VA (10 VA). The 10 NVA group demonstrated significantly improved muscle strength and swimming endurance, compared with the NC group. Further examination suggested a significant increase in myofiber diameter, cross-sectional area, and the content of fast-twitch fibers. Additionally, Nano VA treatment improved glucose tolerance and insulin sensitivity. To elucidate the mechanism by which Nano VA enhances muscle locomotor ability, transcriptomics and metabolomics data identified 111 differentially expressed genes and 253 differential metabolites. Of these, Angptl4, Ppp1r3a, and Cyp26b1 were identified as candidate regulators of muscle development and myofiber type transformation. In conclusion, Nano VA regulates muscle development and promotes muscle fiber type conversion, thus improving muscle strength and endurance in mice. Moreover, Nano VA facilitates mitigating and improving myasthenia gravis-related conditions. Show less

This study aims to establish a hypoxia-immune-related gene signature within the tumor microenvironment (TME) to reliably predict prognosis in non-small cell lung cancer (NSCLC). Transcriptomic profiles and clinical data of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases (GSE74777, GSE68465). Hypoxia- and immune-related genes were curated from MSigDB, ImmPort, and INATDB. Prognostic genes were identified via Cox and LASSO regression analyses, and a risk model was constructed. Model validity was assessed through Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curves, and external validation. An eight-gene prognostic signature (AKAP12, MT2A, SERPINE1, CD1E, CD79A, CXCL13, XCL2, ANGPTL4) was established. The model demonstrated significant predictive accuracy for NSCLC survival (AUC: 0.643/0.649/0.620 at 1/3/5 years in TCGA cohort). Patients with high immune activity exhibited superior survival outcomes compared to those with low-immune counterparts (log-rank P < 0.001). Multivariate Cox regression confirmed the risk score as an independent prognostic factor (HR = 1.82, 95% CI: 1.44-2.30, P < 0.001). The hypoxia-immune microenvironment signature serves as a robust prognostic classifier for NSCLC, providing a quantitative framework for personalized risk stratification and clinical decision support. Show less

Animal models are used widely to study pulmonary hypertension (PH). The cell populations that respond to disease-inducing stimuli in these models and their relationship to human disease remain incompletely defined. This study analyzed the relationship between several rodent models of PH and human disease at single-cell resolution. scRNA-seq was performed on lungs from mice exposed to hypoxia or Sugen/hypoxia, rats exposed to monocrotaline, and controls. A cross-species single-cell dataset was integrated with human lung cell atlas (HLCA) and single-cell dataset from idiopathic pulmonary arterial hypertension (IPAH) to identify overlapping cell subsets between experimental and human disease and species. High levels of overlap were found between species and models of PH, HLCA, and IPAH datasets. Cell subsets perturbed in rat and mouse PH were similar to those found in human disease, with macrophages and endothelial cells being most affected. A novel We established a comprehensive cross-species single-cell atlas of mainstream rodent PH models, highlighting several novel macrophage and endothelial subtypes and signaling motifs potentially contributing to human disease. Show less

Hypoglycemia is a commonly neglected complication in elderly diabetic patients, which can lead to cardiovascular events. Endothelial cell dysfunction is the primary inducer of cardiovascular events, and it is associated with hypoglycemia-triggered cytokine release and inflammatory programmed cell death. A comprehensive understanding of lineage-specific variations in pathological vascular changes is essential to mitigate cardiovascular events and ensure therapeutic efficacy. Herein, unbiased clustering analyses and single-nucleus RNA sequencing are performed on cells of the thoracic aorta in db/db and insulin-induced hypoglycemic db/db mice. Comparative analyses show changes in lineage-specific genes, subpopulation composition, intercellular communication, and molecular biology in hypoglycemic diabetic mice. The analyses also revealed the changes of different cells, particularly endothelial cell PANoptosis, macrophage inflammatory polarization, and vascular smooth muscle cell (VSMC) fibrosis. Pseudo-time sequencing, differential expression, and regulation network analyses revealed the association of potential hub genes Klf2, ETS2, Elavl1, C3, and Nr4a1 with the mentioned pathological processes. It is demonstrated that hypoglycemia induces VSMC fibrosis in vivo, whereas Angptl4 knockdown can attenuate VSMC fibrosis in vitro. These findings demonstrate the hypoglycemic macroangiopathy mechanism and provide important references for future disease intervention and treatment. Show less

Male germline development is crucial for the proper establishment of spermatogonial stem cell pool and life-long production of spermatozoa, but the full-term developmental profiling of human male germline is not fully understood. Here, by integrating 92,488 human testicular cells spanning from six-week-old embryos to old men, we constructed a comprehensive human male germ cell atlas. Further analysis found that the precursor of undifferentiated spermatogonia underwent regulatory network reconfiguration starting from week 7 post-fertilization, accompanied by WNT6-FZD3/LRP6-JUN/MYC signaling axis. And JUN and MYC were revealed to be candidate core transcription factors that might inhibit spermatogonia differentiation. In addition, the activation of ANGPTL signaling played a role in the maintenance of human spermatogonial stem cells. Finally, by interrogating the scRNA-seq datasets from idiopathic non-obstructive azoospermia (iNOA) patients, we identified several iNOA-dysregulated genes such as CAPN3, FTMT, IZUMO2 and LACE1, which were significantly down-regulated in round spermatids of iNOA patients. Collectively, our work established an atlas of human male germ cell development, revealing the factors that might regulate male germline development and providing iNOA-dysregulated genes for future clinical diagnosis. Show less

Wenshenyang decoction (WSY) has been shown to have a considerable effect on restoring renal function and improving kidney Yang deficiency syndrome in patients with CKD. However, its mechanism remains unclear. This study aimed to integrated metabolomics and network pharmacology analysis combined with Patients were selected from a clinical trial. LC-MS (Liquid chromatography-mass spectrometry) was used to investigate the differential metabolites and pathways. Spearman correlation analysis was performed between differential metabolites and clinical phenotypes. "Drug-component-differential metabolite" network was constructed to predict the core components and hub genes, and validated by molecular docking. On this basis, the effects of core components of WSY on the viability of Human Kidney-2 cells (HK-2) induced by doxorubicin (DOX) was detected by CCK-8, and RT-qPCR (Reverse transcription quantitative polymerase chain reaction) was used to detect the mRNA expression level of hub genes and related targets. LC-MS detected 54 differential metabolites, of which 35 metabolites showed up regulated, and 19 decreased. Spearman analysis showed that the differential metabolites were correlated with the clinical phenotype. KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis showed that WSY mainly affected linoleic acid metabolism, FcεRI signaling pathway, and unsaturated fatty acid biosynthesis. The "Drug-component-differential metabolite" network showed that the core components of WSY were quercetin, luteolin and kaempferol, and the hub genes were PTGS2, AKT1, MMP9, EGFR and MMP2. Molecular docking showed that they had good biological binding capacity. WSY has multi-component and multi-target properties in the treatment of CKD kidney Yang deficiency syndrome, and its mechanism may be related to anti-inflammatory and anti-fibrotic effects. This study provides a methodological reference for the treatment of CKD. Show less

In this study, we investigated the therapeutic effects and mechanisms of umbilical cord mesenchymal stem cells (UCMSCs) in diabetic nephropathy (DN) ZDF (FA/FA) rats. The therapeutic effects were assessed by renal function tests, the urinary albumin-creatinine ratio, PAS staining, electron microscopy, and TGF- Show less

NDRG1, a cell differentiation-associated factor, has recently emerged as a regulator ferroptosis. Nevertheless, its role in modulating ferroptosis within hepatocellular carcinoma (HCC) remains uncharacterized. The differential expression of NDRG1 and its prognostic value were analyzed in HCC using data from TCGA and GEO. Ferroptosis in HepG2 and Huh7 cells was assessed using flow cytometry, transmission electron microscopy, and propidium iodide staining following NDRG1 knockdown using shRNA. RNA-seq was performed to characterize the mRNA expression profiles in HepG2 cells, identifying differentially expressed mRNAs (DE-mRNAs) and NDRG1-related hub genes. NDRG1 was overexpressed in multiple malignant tumors, including HCC, and was associated with a significantly poor prognosis in HCC patients. A nomogram model integrating NDRG1 expression and clinical parameters demonstrated robust prognostic accuracy. NDRG1 knockdown potentiated erastin-induced alterations in Fe NDRG1 exhibits strong predictive value for HCC, and accelerates tumor progression by suppressing ferroptosis. Show less

D-2-hydroxyglutarate (D-2HG), an oncometabolite derived from the tricarboxylic acid cycle. Previous studies have reported the diverse effects of D-2HG in pathophysiological processes, yet its role in breast cancer remains largely unexplored. We applied an advanced biosensor approach to detect the D-2HG levels in breast cancer samples. We then investigated the biological functions of D-2HG through multiple in vitro and in vivo assays. A joint MeRIP-seq and RNA-seq strategy was used to identify the target genes regulated by D-2HG-mediated N6-methyladenosine (m We found that D-2HG accumulated in triple-negative breast cancer (TNBC), exerting oncogenic effects both in vitro and in vivo by promoting TNBC cell growth and metastasis. Mechanistically, D-2HG enhanced global m Our study unveils a previously unrecognized role for D-2HG-mediated RNA modification in TNBC progression and targeting the D-2HG/FTO/m Show less

Triglyceride-rich lipoproteins carry lipids in the bloodstream, where the fatty acid moieties are liberated by lipoprotein lipase (LPL) and taken up by peripheral tissues such as brown adipose tissue (BAT) and white adipose tissue (WAT), whereas the remaining cholesterol-rich remnant particles are cleared mainly by the liver. Elevated triglyceride (TG) levels and prolonged circulation of cholesterol-rich remnants are risk factors for cardiovascular diseases. Acute cold exposure decreases postprandial TG levels and is a potential therapeutic approach to treat hypertriglyceridemia. However, how acute cold exposure regulates TG metabolism remains incompletely understood. In the current study, we found that acute cold exposure simultaneously increases postprandial very-low-density lipoprotein production and TG clearance, with the latter playing a dominant role and resulting in decreased TG levels. Acute cold exposure increases LPL activity and TG uptake in BAT, while suppressing LPL activity and TG uptake in WAT. Mechanistically, acute cold exposure increases BAT LPL activity through transcriptional upregulation of Lpl and posttranscriptional regulation via inhibiting the hepatic insulin-ANGPTL8-ANGPTL3 axis, while suppressing WAT LPL activity through upregulation of ANGPTL4. Angptl8 knockout mice have dramatically decreased levels of circulating TG. In the absence of ANGPTL8, acute cold exposure increases rather than decreases circulating TG levels. Thus, our study reveals multilayered regulation of acute cold response and postprandial TG metabolism, highlighting the key functions of ANGPTL3, 4, and 8 in response to acute cold exposure. 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 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

DHAV-3 is one of the main causative agents of duck viral hepatitis (DVH), an acute and highly lethal infectious disease in duck industry. However, the understanding of the pathogenesis of this virus in ducklings is limited. To dissect the molecular characteristics associated with pathobiology of ducklings to DHAV-3, we applied single-cell RNA-sequencing approach to profile the transcriptome of 1.4 million cells from 14 livers of DHAV-3 susceptible (S) and resistant (R) ducklings during viral infection and 4 uninfected healthy controls. We found that infected S ducks exhibited the activation of type I and II interferon pathways with elevated expression of interferon-stimulated genes (ISGs) compared to infected R ducks and healthy controls. DHAV-3 promoted proinflammatory phenotype and inhibited the cell apoptosis pathway of Kupffer cells of S ducks. Furthermore, we observed the elevated expression of host factor PLAC8 in S ducks and validated its ability to facilitate the infection of DHAV-3. We identified significant dysregulation of various genes in complement and coagulation cascades in hepatocytes2 exclusive to S ducks, together with over-secretion of ANGPTL4 from endothelial cells in S ducks which is confirmed to promote cellular migration, suggesting etiology of coagulopathic complications in ducks with severe DVH. Collectively, this study provides a rich resource for understanding the inflammatory immune signatures and cell communications underlying the pathogenesis of DHAV-3 infection, which may accelerate the development of better diagnostic methods and strategies for controlling this disease. 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

Despite the high morbidity and mortality, the effective therapies for heart failure with preserved fraction (HFpEF) are limited as the poor understand of its pathophysiological basis. This study was aimed to characterize the cellular heterogeneity and potential mechanisms of HFpEF at single-cell resolution. An HFpEF mouse model was induced by a high-fat diet with N-nitro-L-arginine methyl ester. Cells from the hearts were subjected to single-cell sequencing. The key protein expression was measured with Immunohistochemistry and immunofluorescence staining. In HFpEF hearts, myocardial fibroblasts exhibited higher levels of fibrosis. Furthermore, an increased number of fibroblasts differentiated into high-metabolism and high-fibrosis phenotypes. The expression levels of genes encoding certain pro-angiogenic secreted proteins were decreased in the HFpEF group, as confirmed by bulk RNA sequencing. Additionally, the proportion of the endothelial cell (EC) lineages in the HFpEF group was significantly downregulated, with low angiogenesis and high apoptosis phenotypes observed in these EC lineages. Interestingly, the fibroblasts in the HFpEF heart might cross-link with the EC lineages via over-secretion of ANGPTL4, thus displaying an anti-angiogenic function. Immunohistochemistry and immunofluorescence staining then revealed the downregulation of vascular density and upregulation of ANGPTL4 expression in HFpEF hearts. Finally, we predicted ANGPTL4as a potential druggable target using DrugnomeAI. In conclusion, this study comprehensively characterized the angiogenesis impairment in HFpEF hearts at single-cell resolution and proposed that ANGPTL4 secretion by fibroblasts may be a potential mechanism underlying this angiogenic abnormality. Show less

This study evaluated the protective effects of naringin (NG) against intestinal injury in 7-day-old piglets infected with porcine epidemic diarrhea virus (PEDV). Eighteen piglets (Duroc × Landrace × Large, body weight = 2.58 ± 0.05 kg) were divided into three treatment groups based on similar body weights and equal numbers of males and females: the blank control group (CON group), the PEDV infection group (PEDV group), and the NG intervention + PEDV infection group (NG + PEDV group) ( Show less

The treatment and prognosis of cardiac amyloidosis (CA) depend heavily on the accurate identification of amyloid protein types. Histopathological methods are the most commonly used approach, but often produce inconclusive results. The application of mass spectrometry with laser microdissection mass spectrometry based on non-targeted proteomics in CA diagnosis is gradually being recognized, but it is expensive, time-consuming, and still in the early stages of scientific research applications. This study aims to establish a novel typing method based on targeted semi-quantitative proteomics to address the shortcomings of existing methods. Formalin-fixed, paraffin-embedded (FFPE) myocardial tissue samples from 52 CA and 52 hypertrophic cardiomyopathy (HCM) patients were analyzed. A semi-quantitative typing method was developed using triple quadrupole mass spectrometry, with laser microdissection mass spectrometry (LMD-MS) serving as the reference standard. A total of 52 peptides were analyzed. Key amyloid-associated proteins (AAPs) -apolipoprotein A-IV (apo A-IV), apolipoprotein E (apo E), and serum amyloid P component (SAP) - showed high diagnostic accuracy, with AUC values of 0.964, 0.999, and 0.923, respectively. Transthyretin (TTR), immunoglobulin light chains- κ (IGL - κ), and IGL-λ were semi-quantified using normalized scores (NS) adjusted for microdissection and peptide peak areas. An NS This targeted semi-quantitative mass spectrometry method has high consistency with non-targeted LMD-MS typing, with an accuracy higher than IHC (100 % vs. 30.8 %), while compensating for the shortcomings of non-targeted proteomics. It provides a practical method for CA typing in routine clinical laboratories and may help identify rare subtypes of amyloidosis in the future. Show less

The etiology of acute Achilles tendon rupture (ATR) remains unclear. This study conducted a comprehensive case-control study of the proteome profile to gain insights into the potential pathogenesis of acute ATR and identify novel biomarkers. Serum (iTRAQ) and urine (label-free proteomics) from 15 acute ATR patients and 15 healthy controls were analyzed. Significant differential expression was defined as ≥1.2-fold (serum) or ≥2-fold (urine) change with p < 0.05. Bioinformatics analyses (GO, KEGG, PPI) were performed. 44 serum and 198 urine proteins were differentially expressed. Enriched pathways included immune response, metabolism, immune response, and redox regulation. protein-protein interaction analysis of the differentially expressed proteins (P < 0.05) highlighted abnormalities in major protein-protein interaction hubs, specifically pyruvate kinase (PKM), peroxiredoxin-1 (PRDX1), phosphoglycerate kinase 1 (PKG1), profilin-1, and apolipoprotein A-IV, observed in the serum and urine samples of acute ATR patients. Metabolic dysregulation may affect tendon structure/strength; redox imbalance could promote degeneration. Immune-related proteins may reflect injury responses. Glycolytic enzymes (PKM, PGK1) suggest disrupted energy metabolism. Proteomic abnormalities in metabolism, immune, and redox pathways, along with key proteins (PKM, PRDX1, PGK1), may contribute to ATR pathogenesis, offering potential biomarkers warranting further validation. Show less

The quality of eggshells holds substantial economic significance and serves as a critical selection criterion in poultry breeding. Eggshell translucency significantly impairs their aesthetic quality, which is structurally attributed to the thinning of the eggshell membrane or reduced tensile strength. In this study, 836 dwarf white hens were selected, with 45 hens each assigned to the opaque group and the translucent group. Grading for eggshell translucency was conducted at 75, 80, and 85 weeks of age. Based on the results from these three gradings, 35 hens that consistently produced translucent eggs and 35 hens that consistently produced opaque eggs were reclassified into the translucent group and the opaque group, respectively. The thickness of the eggshell membrane, latitudinal and longitudinal tensile force and length, and other indicators related to eggshell membrane quality were measured. Correlation analysis was performed using RNA-seq genomics and DIA proteomics based on the relationships among these indicators. Transcriptome analysis revealed 179 significantly differentially expressed genes, indicating that the causes of translucent eggshells are associated with metabolism, signal transduction, the immune system, molecular binding, transport, and catabolism. Seven potential candidate genes, including Show less

Diabetic retinopathy (DR) is one of the major complications of diabetes, resulting in severe vision loss. Traction retinal detachment (TRD) is the main factor affecting the effect of proliferative diabetic retinopathy (PDR) surgery. Liquid Chromatography with tandem mass spectrometry (LC-MS/MS) was adopted to analyze the proteomes of the vitreous in the TRD, vitreous hemorrhage (VH) and macular hole (MH) groups. By employing bioinformatics tools for GO and KEGG pathway annotation, as well as conducting protein-protein interaction(PPI) network analysis, we investigated the functional enrichment of proteins in the TRD vitreous and their associated pathways. Additionally, peptide center analysis was performed on the proteomic data to identify key differentially expressed proteins based on screening results. Bioinformatics analysis showed that DEPs is mainly enriched in the complement, the coagulation cascade systems and regulation of actin cytoskeleton. The protein interaction network analysis showed that the central proteins were mainly related to sphingolipid metabolism. APOA4, CHI3L1, LTBP2 were significantly up-regulated in TRD, which were related to the complement system, coagulation cascade and platelet activation, sphingolipid metabolism and other pathways. APOA4 and CHI3L1 protein in patients with TRD group raised significantly in the vitreous humor, shows the potential biomarkers for TRD. Show less

Accurate diagnosis of Crohn's disease (CD) is paramount due to its resemblance to other inflammatory bowel diseases. Early and precise diagnosis plays a pivotal role in tailoring personalized treatments, thereby enhancing the quality of life for CD patients. Differential gene expression analysis was conducted to identify genes from the mRNA expression profiles of CD samples, followed by pathway enrichment analysis. The immune cell infiltration levels of each CD patient sample were assessed. Using weighted gene co-expression network analysis, key gene modules linked to CD were found. Hub gene identification was made easier by the construction of protein-protein interaction networks. Next, utilizing the Least Absolute Shrinkage and Selection Operator on the hub genes in the training set, a diagnostic model was created. The accuracy of the model was then confirmed using a different validation set. Our analysis revealed 651 differentially expressed genes, enriched in leukocyte chemotaxis and inflammation-related pathways. Immunization results showed a higher abundance of T cells CD4 memory resting, macrophages M2, and plasma cells in CD patients. Weighted gene co-expression network analysis linked the turquoise module with macrophages M2. Eight hub genes (APOA1, APOA4, CYP2C8, CYP2C9, CYP2J2, EPHX2, HSD3B1, and LPL) formed the diagnostic model, exhibiting excellent diagnostic performance with area under curve values of 0.94 (training set) and 0.941 (validation set). The CD diagnostic model, based on hub genes, shows exceptional diagnostic accuracy, providing a valuable reference for CD diagnosis. Show less

Apolipoprotein A5 (ApoA5) and Cell Death-Inducing DNA Fragmentation Factor-like Effector C (CIDEC) are involved in hepatic lipid metabolism and implicated in metabolic dysfunction-associated steatotic liver disease (MASLD). This study explores the role of the ApoA5-CIDEC interaction in regulating hepatic lipid metabolism, inflammation and fibrosis in MASLD. C57BL/6 J mice were used to evaluate hepatic steatosis, liver function, and fibrosis under different ApoA5 expression conditions. Co-immunoprecipitation and immunofluorescence confirmed ApoA5-CIDEC interaction on lipid droplets (LDs). HepG2 cells were used to assess the effects of ApoA5 and CIDEC on triglycerides (TG), free fatty acids (FFAs), fatty acid beta-oxidation (FAO), and de novo lipogenesis (DNL). Key lipid metabolism and inflammatory markers, including fatty acid-binding protein 4 (FABP4), were analyzed. ApoA5-overexpression in mice improved hepatic steatosis, function, and fibrosis, reducing TG, FFAs, DNL, ApoB secretion, and pro-inflammatory cytokine secretion (IL-6, IL-1β, TNF-α), while enhancing FAO in HepG2 cells. ApoA5-knockdown led to opposite effects. ApoA5 and CIDEC co-localized with LDs, interacting with FABP4 to jointly regulate lipid metabolism and inflammation. The effects of ApoA5 were mediated through reduced CIDEC expression. ApoA5 regulates hepatic lipid metabolism, inflammation, and fibrosis through its interaction with CIDEC. Targeting the ApoA5-CIDEC axis may provide a novel therapeutic approach for treating MASLD. KEY MESSAGES: ApoA5 reduces hepatic fibrosis and inflammatory cytokine secretion. ApoA5 interacts and co-localizes with CIDEC on lipid droplets. ApoA5-CIDEC interaction regulates lipid metabolism and inflammatory cytokine secretion in hepatocytes. ApoA5-CIDEC axis regulates FABP4 expression. Targeting the ApoA5-CIDEC axis offers therapeutic potential for MASLD. Show less

Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease with no effective pharmacological treatments. The causal role of triglycerides (TGs) in AAA development remains unclear and controversial. Mendelian randomization was applied to assess causal relationships between lipoproteins, circulating proteins, metabolites, and the risk of AAA. To test the hypothesis that elevated plasma TG levels accelerate AAA development, we used Mendelian randomization analyses integrating genetic, proteomic, and metabolomic data identified causal relationships between elevated TG-rich lipoproteins, TG metabolism-related proteins/metabolites, and AAA risk. In the angiotensin II infusion AAA model, most These findings identify hypertriglyceridemia as a key contributor to AAA pathogenesis and suggest that targeting TG-rich lipoproteins may be a promising therapeutic strategy for AAA. Show less

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

Patients with chronic kidney disease frequently exhibit abnormalities in their lipid metabolism. Confounding factors in observational studies often obscure the causal relationship between these 2 diseases. This study investigated the causal relationships between genetically predicted levels of 6 key lipid parameters (total cholesterol (TC), triglycerides (TG), HDL-C, low-density lipoprotein cholesterol (LDL-C), apolipoprotein A1 (ApoA1), and apolipoprotein B (ApoB)) and circulating kidney injury molecule 1 (KIM-1) levels, using a comprehensive bidirectional Mendelian randomization (MR) analysis. Using genome-wide association study data, the primary analysis used the inverse-variance weighted (IVW) method, supported by MR-Egger regression and a weighted median estimator. Sensitivity analyses including heterogeneity, pleiotropy tests, leave-one-out, and reverse causality analyses were conducted. The IVW model revealed the following: TG (odds ratio (OR): 1.1843, 95% confidence interval (CI): 1.1178-1.2547, P = 9.5894e-09), TC (OR: 1.1096, 95% CI: 1.0178-1.2095, P = .0182), and ApoA1 (OR: 1.1820, 95% CI: 1.0741-1.3007, P = .0007) were found to have significant causal relationships with KIM-1, a biomarker of kidney tubular injury, and may be risk factors for renal tubular injury; No significant causal associations were observed between high-density lipoprotein cholesterol (HDL-C), (P = .2929), LDL-C (P = .2178), ApoB (P = .1836), and KIM-1; Horizontal pleiotropy was detected for ApoA1 (P = .0208). However, sensitivity analyses confirmed the robustness of the results after the removal of outliers; significant heterogeneity was observed across all lipid parameters (Cochran Q P < .05), which necessitated the use of random-effects IVW models; and reverse causality analyses (MR-Egger intercept P > .05, Steiger filtering) confirmed no evidence of reverse causation between lipid profiles and KIM-1. TG, HDL-C, and ApoA1 levels may be risk factors for renal tubular injury. However, no significant causal relationships were observed between HDL-C, LDL-C, and ApoB levels and renal tubular injury. To further explore the underlying mechanisms of the associations between TG, HDL-C, ApoA1, and KIM-1 and to inform lipid management strategies in tubulopathy-related conditions. Show less

Ischemic stroke is frequently associated with symptomatic intracranial atherosclerotic stenosis (sICAS), is a leading cause of global disability and mortality. Current guidelines recommend dual antiplatelet and intensive statin therapies. Proprotein convertase subtilisin 9/kexin type 9 (PCSK9) inhibitors have emerged as a potent lipid-lowering therapy, potentially influenced by genetic variations, particularly in the CYP2C19 gene. This study at Xuzhou Central Hospital from January 2021 to December 2023 included 151 patients divided into a statin group (n = 73) and a PCSK9 inhibitor (PCSK9i) group (n = 78). It evaluated lipid profiles, inflammatory markers, neurological function, and clinical outcomes over a 180-day follow-up period, with additional analysis stratified by CYP2C19 genotype. The PCSK9i group demonstrated significant improvements in lipid parameters compared to the statin group, including greater reductions in low-density lipoprotein cholesterol (LDL-C) (p = 0.008), total cholesterol (TC) (p < 0.001), and triacylglycerols (TAG) (p = 0.041), along with apolipoprotein A1 (ApoA1) and apolipoprotein B (ApoB) (both p < 0.001). Inflammatory markers, particularly interleukin-6 (IL-6), significantly reduced in the PCSK9i group (p < 0.001). In the PCSK9i group, CYP2C19 rapid metabolizers achieved greater reductions in LDL-C (p = 0.021), ApoB (p = 0.003), and IL-6 levels (p = 0.041) compared to slow metabolizers. Post-treatment modified Rankin Scale (mRS) scores were significantly lower in rapid metabolizers compared to slow metabolizers (p = 0.018), though clinical events occurred infrequently in both subgroups. This study demonstrates that PCSK9 inhibitor therapy combined with statins provides enhanced lipid-lowering and anti-inflammatory effects compared to statin monotherapy in sICAS patients. While the CYP2C19 genotype may influence specific treatment responses, particularly lipid parameters, its impact on clinical outcomes requires further investigation. Show less

Coronary heart disease (CHD) has a significant co-morbid association with chronic kidney disease (CKD), but identification tools for the risk of concomitant CKD in patients with CHD are still lacking. The purpose of this research was to construct machine learning (ML) models for identifying undetected CKD in CHD patients. 1786 CHD patients undergoing coronary intervention were retrospectively included. Lasso regression and multifactor logistic regression were used to screen feature variables. Five ML models, ie, logistic regression (LR), support vector machine (SVM), random forest (RF), gradient boosting machine (GBM), and extreme gradient boosting (XGBoost), were constructed. Participants were divided into the training set and validation set in a 7:3 ratio. The evaluation metrics included the area under the curve, calibration curve, and decision curve. Totally, 1786 CHD patients were enrolled and split into training (70%) and validation (30%) sets. The prevalence of CKD was 21.8% (390/1786). Multivariate logistic regression analysis showed that men, advanced age, hypertension, diabetes mellitus, history of atrial fibrillation (AF), high Gensini, low hemoglobin, low plateletcrit (PCT), high triglycerides (TG), high lipoprotein(a) (Lp(a)), hyperkalemia, high uric acid to albumin ratio (UAR), high systemic inflammation response index (SIRI), low lymphocyte to monocyte ratio (LMR), and high apolipoprotein B to apolipoprotein A1 (ApoB/ApoA1) ratio were the key clinical and laboratory test indicators of CKD. The XGBoost model performed optimally in the validation set (AUC=0.909, 95% CI 0.881 -0.937). SHapley Additive explanation analysis identified UAR, hypertension, Gensini score, age, and SIRI as the top 5 key features. The XGBoost model constructed on routine clinical data was effective in identifying CKD risk in CHD patients, with UAR as a novel strong predictor. Decision curve analysis confirmed the clinical utility of the model, indicating that it may be used to guide decisions for enhanced monitoring and early intervention over a wide range of risk thresholds. Show less

There were some evidences to suggest the correlation between circulating lipid levels and cholecystitis, but no evidence had been indicated the causal relationship between lipid-lowering drugs and cholecystitis. To investigate this, we employed drug target Mendelian randomization (MR), summary-data-based MR (SMR), and genetic colocalization analyses to assess the association between lipid-lowering drugs and cholecystitis. In this study, we used 2 sets of genetic tools to proxy lipid-lowering drugs: elevated high-density lipoprotein cholesterol (CETP), decreased low-density lipoprotein cholesterol (LDLR, HMGCR, NPC1L1, PCSK9, APOB, and ABCG5/ABCG8), and decreased triglycerides (LPL, PPARA, ANGPTL3, and APOC3); the expression quantitative trait locus of target genes from the eQTLGen consortium and Genotype-Tissue Expression project V8. Then, the causal effects of these lipid-lowering drugs genetic proxies on cholecystitis were estimated using a variety of MR, SMR, and colocalization as sensitivity analyses. Collectively, in the MR results, we found that the significant causal effects between genetically proxied ABCG5/ABCG8 enhancement and HMGCR inhibitors were associated with a reduced risk of cholecystitis. The results of SMR and heterogeneity in dependent instruments tests indicated that the expression of ABCG5/ABCG8 and HMGCR in multiple tissues were associated with cholecystitis. In conclusion, our study provides genetic evidence demonstrating a causal relationship between the enhancement of ABCG5/ABCG8 gene proxies and the use of HMGCR inhibitors with a reduced risk of cholecystitis. These findings support the potential reuse of lipid-lowering drugs in patients with cholecystitis and could inform the development of effective treatment strategies for this population in clinical practice. Show less

Dipeptidyl peptidase-4 inhibitors (DPP-4i) serve as an incretin-based hypoglycemic class for the treatment of type 2 diabetes (T2D). DPP-4i have been reported to produce a pleiotropic effect on lipid profiles in addition to regulation of glucose homeostasis. The aim of this systematic review and meta-analysis was to quantitatively evaluate the impact of DPP-4i on lipid parameters in patients with T2D. PubMed, Embase, and The Cochrane Library were systematically searched for randomized controlled trials. Trials were identified if changes in lipid parameters, including low-density-lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), high-density-lipoprotein cholesterol (HDL-C), non-HDL-C, and apolipoprotein B (ApoB) were reported. A total of 95 publications were identified. DPP-4i significantly reduced levels of LDL-C (-3.48 mg/dL; 95% CI, -4.77 to -2.20; I2 = 70%, P < .00001), TC (-2.59 mg/dL; 95% CI, -3.88 to -1.29; I2 = 73%, P < .0001), TG (-5.39 mg/dL; 95% CI, -8.04 to -2.75; I2 = 77%, P < .0001), and non-HDL-C (-6.27 mg/dL; 95% CI, -10.94 to -1.60; I2 = 53%, P = .008). No significant effect was found on HDL-C (-0.32 mg/dL; 95% CI, -1.19 to 0.55; I2 = 97%, P = .47) and ApoB (-0.88 mg/dL; 95% CI, -3.36 to 1.60; I2 = 36%, P = .49) during DPP-4i treatment. DDP-4i significantly improved lipid parameters including LDL-C, TC, TG, and non-HDL-C in patients with T2D. This underscores the potential cardiovascular benefits of DPP-4i and their role in improving diabetes-related outcomes. PROSPERO registration no. CRD42020175999. Show less