👤 Song Wei

The prognosis for colorectal cancer (CRC) patients with liver metastasis remains poor, and the molecular mechanisms driving CRC liver metastasis are not fully understood. Tumor-derived hypoxia-induced extracellular vesicles have emerged as key players in inducing angiogenesis by transferring noncoding RNAs. However, the specific role of CRC-derived hypoxic extracellular vesicles (H-EVs) in regulating premetastatic microenvironment (PMN) formation by inducing angiogenesis remains unclear. Our study demonstrates that H-EVs induce angiogenesis and liver metastasis. Through microRNA microarray analysis, we identified a reduction in miR-6084 levels within H-EVs. We found that miR-6084 inhibited angiogenesis by being transferred to endothelial cells via EVs. In endothelial cells, miR-6084 directly targeted angiopoietin like 4 (ANGPTL4) mRNA, thereby suppressing angiogenesis through the ANGPTL4-mediated JAK2/STAT3 pathway. Furthermore, we uncovered that specificity protein 1 (SP1) acted as a transcription factor regulating miR-6084 transcription, while hypoxia-inducible factor 1A (HIF1A) decreased miR-6084 expression by promoting SP1 protein dephosphorylation and facilitating ubiquitin-proteasome degradation in SW620 cells. In clinical samples, we observed low expression of miR-6084 in plasma-derived EVs from CRC patients with liver metastasis. In summary, our findings suggest that CRC-derived H-EVs promote angiogenesis and liver metastasis through the HIF1A/SP1/miR-6084/ANGPTL4 axis. Additionally, miR-6084 holds promise as a diagnostic and prognostic biomarker for CRC liver metastasis. Show less

Dormant lung adenocarcinoma (LUAD) cells in the bone microenvironment can re-emerge as metastatic disease through osteoclast interactions. Using a 3D dormancy model and a mouse bone metastasis model, this study reveals that arachidonic acid (AA) is the initiating molecule transferred from osteoclasts to dormant LUAD cells, triggering their activation. Dormant LUAD cells uptake AA through CD36, which activates the PPARγ-ANGPTL4 pathway and activates tumor cells. There is a dose-response relationship in the activation effect of AA, and inhibiting AA metabolism prevents this reactivation. The study also finds that the serum levels of AA and ANGPTL4 are significantly elevated in patients with clinical bone metastases compared to those without. This research confirms that osteoclasts transmit AA via the CD36-PPARγ-ANGPTL4 axis to activate dormant LUAD cells, suggesting that AA and ANGPTL4 may serve as valuable biomarkers and potential clinical applications in treatment and prediction of LUAD bone metastasis. 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

The established body of knowledge attests to the pivotal influence of ANGPTL4 on lipid metabolism and vascular biology. Nevertheless, its potential implication in neurodegenerative disease remains to be fully characterized. The present investigation delves into the involvement of ANGPTL4 in the pathological progression of PD, both in vitro and in vivo. PD models were induced by intraperitoneal administration of MPTP and LPS in WT and ANGPTL4 The observations unveiled that ANGPTL4 deficiency exacerbated behavioral aberrations, intensified dopaminergic neuron loss, and stimulated microglial activation along with p21-dependent senescence. There was an elevation in the expression of proinflammatory cytokines in the PD model. Furthermore, the administration of rANGPTL4 protein reversed the observed phenotypes in ANGPTL4 Our findings posit a salutary role for ANGPTL4 in counteracting PD, rendering it a prospective therapeutic target for the development of innovative drugs aimed at treating neuroinflammation-associated neurological diseases, including PD. Show less

Obesity-induced metabolic inflammation is a key driver of chronic kidney disease (CKD), with immune dysregulation, particularly among lymphocytes, contributing to early disease pathology. To explore the role of apolipoprotein A4 (Apoa4) in regulating immune cell metabolism and function, we establish high-fat diet-induced obese (DIO) models using wild-type and 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

To investigate the effect of tannic acid (TA) on the growth, disease resistance, and intestinal health of Chinese soft-shelled turtles, individual turtles were fed with 0 g/kg (CG), 0.5 g/kg, 1 g/kg, 2 g/kg, and 4 g/kg TA diets for 98 days. Afterwards, the turtles' disease resistance was tested using Show less

The contribution of circulating group 3 innate lymphoid cells (ILC3s) to lipid dysregulation has remained poorly defined, and the mechanisms through which washed microbiota transplantation (WMT) improves lipid metabolism require further clarification. Peripheral ILC subsets and plasma IL-22 were assessed in hyperlipidemia patients and healthy controls. The lipid-lowering effects of WMT were evaluated in a prospective cohort without lipid-lowering medications. Gut microbial and plasma metabolite profiles before and after WMT were analyzed. A hyperlipidemic mouse model was used to determine whether healthy microbiota promote hepatic ILC3 homing via integrin α4. Hyperlipidemia was characterized by reduced circulating ILC3s, integrin α4 Hyperlipidemia is associated with depletion of circulating ILC3s and reduced IL-22. Restoration of ILC3 subsets and enhancement of integrin α4-dependent hepatic homing are achieved after WMT, accompanying improvements in lipid metabolism. Show less

Biochemical items play a significant role in clinical decision-making, so this study aims to evaluate the performance of different biochemical platforms. We collected 1,524 serum samples that were centrifuged, and plasma was analyzed for HDL-C, LDL-C, Apo A1, Apo B, PA, and Fs-CRP with the Mindray BS2000M and Roche Cobas 8000 platforms. The results were evaluated by a non-parametric two-related sample test, Passing-Bablok regression analysis, Weighted Least Square analysis (WLS), and Bland-Altman analysis according to CLSI EP09-A3, EP5-A2, and EP15-A3. Between the two systems, there were statistically significant differences in the average bias of LDL-C, Apo A1, Apo B, PA, and Fs-CRP ( These findings suggest that the two platforms have good correlation and consistency in high-concentration medical decision levels in HDL-C, LDL-C, Apo A1, Apo B, and Fs-CRP, and all levels of PA in the two platforms are interchangeable and can replace each other. Show less

The spleen is essential for immunity, mediating host defense against pathogens and regulating immunological homeostasis. Western-style diets commonly cause the aggregation of body fat and the emergence of obesity. This state might lead to damage to the spleen's functions. However, the effects of Western-style diets on gene expression and metabolic regulation in the spleen have not yet been fully explored. In this study, Show less

As inflammatory processes may be involved in the pathogenesis of diabetic distal sensorimotor polyneuropathy (DSPN), the first aim of the present study was to determine the clinical characteristics of type 2 diabetes mellitus (T2DM) with distal sensorimotor polyneuorpathy (DSPN). Next goal was to investigate inflammatory biomarkers, insulin-like growth factor- 1 and lipid profile in these patients. Finally, we aimed to compare the renal function in these patients. In a cross-sectional study, we included 160 patients diagnosed with T2DM. The control group was included 22 non-diabetic healthy subjects (HC). The patients with diabetes were divided into four groups, absent (n = 74), mild (n = 38), moderate (n = 24), and severe (n = 24) using a nomogram based on the MNSI features for a DSPN severity grading probability. Patients with moderate and severe DSPN were a little older and had longer duration of diabetes compared to patients with absent and mild DSPNS (p < 0.05). Serum levels of interferon-gamma (INF-γ), interleukin (IL)-1β, IL-4, IL- 6 levels in patients with severe DSPN were significantly higher than HC, absent, mild and moderate of DSPN (p < 0.05). The circulating levels of insulin-like growth factor-1 (IGF-1) were significantly lower in patients with severe DSPN (p < 0.05) compared to absent, mild and moderate of DSPN and HC. Diabetic patients with moderate DSPN showed increased circulating levels of TC, LDL-C, APOB (p < 0.05) compared to HC and patients with absent, mild and severe DSPN. Moreover, APO-A1/APOB was significantly lower in patients with diabetes compared to HC. In addition, patients with severe DSPN showed increased Cystatin C (p < 0.05) compared to HC and absent, mild, and moderate DSPN. Multivariate ordered logistic regression analysis showed that the levels of IL-6 (OR = 3.166, 95%CI 1.461-6.860, p = 0.003, IL-1β(OR = 1.148, 95%CI 1.070-2.232; p = 0.000), TC (OR = 1.174, 95%CI 1.011-1.364; p = 0.035), LDL-C (OR = 1.246, 95%CI 1.098-3.618; p = 0.003), Cystatin C (OR = 1.867, 95%CI 1.245-3.434; p = 0.004), ages (OR = 1.043, 95%CI 1.009-1.078; p = 0.012), and duration of diabetes (OR = 1.157, 95%CI 1.049-1.277; p = 0.004) were positively associated with increasing the odds ration of DSPN in T2DM. Conversely, the level of IGF-1 (OR = 0.922, 95%CI 0.961-0.982; p = 0.000) and ratio of APO-A1/APOB (OR = 0.212, 95%CI 0.078-0.567; p = 0.002) were significantly associated with decreasing the odds ratio of DSPN in T2DM. The levels of inflammatory biomarkers such as INF-γ, IL-1β, IL-4, IL- 6 were increased in patients with severe DSPN in T2DM. Ages, duration of diabetes as well as high circulating levels of IL-6, IL-1β, TC, LDL-C and Cystatin C were positively associated with DSPN in T2DM. Conversely, the level of IGF-1 and the ratio of APOA1/APOB were independent protective factors for DSPN in T2DM. Our results emphasize the importance of addressing issues related to inflammatory biomarkers, lipids and early impaired renal function in T2DM with DSPN, as these may be of potential relevance for deteriorating DSPN. Show less

The concurrent rise of childhood obesity and hyperuricemia presents a serious public health concern. These conditions interact through complex metabolic mechanisms and significantly increase long-term risks of cardiometabolic diseases. Machine learning (ML) offers an effective framework for constructing efficient risk prediction models in pediatric populations. This study aimed to develop and evaluate two ML models-Random Forest (RF) and Support Vector Classification (SVC)-to predict the risk of childhood obesity and hyperuricemia by integrating clinical and biochemical variables. A total of 101 children were enrolled, including 60 with obesity and 41 with obesity plus hyperuricemia. Data preprocessing involved recursive feature elimination (RFE), ROSE-based oversampling, and feature standardization. Both RF and SVC models were trained and evaluated using area under the ROC curve (AUC), precision-recall curves, and calibration curves. SHAP (Shapley Additive Explanations) analysis was conducted to interpret feature contributions. Both models demonstrated strong predictive performance, with AUCs reaching 0.96. The SVC model achieved slightly higher average precision and recall, making it more suitable for community- or school-based screening of high-risk children. In contrast, the RF model exhibited superior calibration, suggesting its greater utility in clinical decision-making where probabilistic risk estimation guides personalized follow-up or intervention planning. SHAP analysis identified glomerular filtration rate (GFR), high-density lipoprotein cholesterol (HDL-C), and apolipoprotein B (ApoB) as key predictors, some exhibiting nonlinear associations with disease risk. RF and SVC models offer reliable tools for early risk prediction of obesity and hyperuricemia in children, each tailored to distinct clinical scenarios. These findings support early identification and targeted intervention. Future studies will explore the integration of metabolomic data and ensemble approaches to further enhance model performance and clinical applicability. Show less

Patients with diabetic nephropathy (DN) often present with lipid profile abnormalities. While associations between these parameters and DN have been suggested, confounding factors obscure causal relationships. This study employed bidirectional Mendelian randomization (MR) to explore these links. Using genome-wide association study (GWAS) data, the primary analysis used the inverse-variance weighted (IVW) method, which was supported by MR-Egger regression and a weighted median estimator (WME). Sensitivity analyses, including heterogeneity, pleiotropy tests, leave-one-out, and reverse causality analyses, were conducted. The IVW model revealed the following: (1) causal relationships between triglycerides (TG) (OR: 1.5807, 95% CI: 1.2578-1.9865, P = 0.0001), high-density lipoprotein cholesterol (HDL-C) (OR: 0.7342, 95% CI: 0.5729-0.9409, P = 0.0146), and apolipoprotein A1 (ApoA1) (OR: 0.6506, 95% CI: 0.5190-0.8156, P = 0.0002) and DN; (2) causal relationships between TG (OR: 1.0607, 95% CI: 1.0143-1.1093, P = 0.0098), HDL-C (OR: 0.9453, 95% CI: 0.9053-1.9871, P = 0.0109), and apolipoprotein B (ApoB) (OR: 1.0672, 95% CI: 0.0070-1.1310, P = 0.0280) and the urinary albumin-creatinine ratio (UACR); (3) no causal relationship between total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), ApoB and DN, or between TC, LDL-C, ApoA1 and UACR; (4) none of the results showed reverse causality. TG is a risk factor for DN and UACR; HDL-C is protective for both; ApoA1 protects against DN; and ApoB is a risk factor for UACR. To further explore the underlying mechanisms between TG, HDL-C, ApoA1, ApoB, and their associations with DN and UACR, and to provide reference for the selection of lipid management and treatment strategies for clinical DN patients. This study demonstrated that causal relationships between TG, HDL-C, and ApoA1 with DN and between TG, HDL-C, and ApoB with the UACR. Show less

Previous studies have investigated the role of metabolic factors in risk of hematological malignancies with contradicting findings. Existing studies are generally limited by potential concern of reverse causality and confounding by inflammation. Therefore, we aimed to investigate the associations of glucose, lipid, and apolipoprotein biomarkers with the risk of hematological malignancy. We performed a study of over 560,000 individuals of the Swedish AMORIS cohort, with measurements of biomarkers for carbohydrate, lipid, and apolipoprotein metabolism during 1985-1996 and follow-up until 2020. We conducted a prospective cohort study and used Cox models to investigate the association of nine different metabolic biomarkers (glucose, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), LDL-C/HDL-C, triglyceride (TG), apolipoprotein B (ApoB), apolipoprotein A-I (ApoA I), and ApoB/ApoA-I) with risk of hematological malignancy, after excluding the first five years of follow-up and adjustment for inflammatory biomarkers. We observed a decreased risk of hematological malignancy associated with one SD increase of TC (HR 0.93; 95% CI 0.91-0.96), LDL-C (HR 0.94; 95% CI 0.91-0.97), HDL-C (HR 0.92; 95% CI 0.86-0.99), and ApoA-I (HR 0.96; 95% CI 0.93-0.996). Our study highlights a decreased risk of hematological malignancy associated with a higher level of TC, LDL-C, HDL-C, and ApoA-I. Show less

The causal relationship between the familial hypercholesterolemia (FH) and intestinal vascular diseases was unnoticed. This study aims to investigate the cause-and-effect relationship of FH with risk of intestinal vascular diseases in human. A Mendelian randomization (MR) analysis was performed by extracting summary-level datasets for FH or FH concurrently with ischemic heart disease (IHD) and intestinal vascular diseases from the FinnGen study including 329,115, 316,290 and 350,505 individuals. The inverse-variance weighted (IVW) method and the weighted median method were applied to analyze the causal relationships between FH or FH concurrently with IHD and the risk of intestinal vascular diseases. Cochran's Q statistic method and MR-Egger regression were used to assess heterogeneity and pleiotropy. The IVW method demonstrated that FH was significantly associated with higher odds of intestinal vascular diseases [OR (95%CI): 1.22 (1.03, 1.45)] ( In conclusion, FH was causally positive-associated with the increased risk of intestinal vascular diseases, revealing a potential unfortunate outcome for FH. Therefore, patients with FH should pay closely attention to the risk of intestinal vascular diseases. Our study may provide evidence for new diagnostic and therapeutic strategies in clinical practices. Show less

In preliminary research and literature review, we identified a potential link between chronic obstructive pulmonary disease (COPD) and lipid metabolism. Therefore, this study employed Mendelian randomization (MR) analysis to investigate the potential causal connection between blood lipids and COPD. A genome-wide association study (GWAS) on COPD was conducted, encompassing a total of 112,583 European participants from the MRC-IEU. Additionally, extensive UK Biobank data pertaining to blood lipid profiles within European cohorts included measurements for low-density lipoprotein cholesterol (LDL-C) with 440,546 individuals, high-density lipoprotein cholesterol (HDL-C) with 403,943 individuals, triglycerides (TG) with 441,016 individuals, total cholesterol (TC) with 187,365 individuals, apolipoprotein A-I (apoA-I) with 393,193 individuals, and apolipoprotein B (apoB) with 439,214 individuals. Then, MR analyses were performed for lipids and COPD, respectively. The primary analytical technique employed was the inverse-variance weighted (IVW) approach, which included a 95% confidence interval (CI) to calculate the odds ratio (OR). Additionally, a sensitivity analysis was conducted to assess the dependability of the MR analysis outcomes. MR analysis was primarily based on IVW, unveiled a causal link between COPD and LDL-C (OR=0.994, 95% CI (0.989, 0.999), P=0.019), TG (OR=1.005, 95% CI (1.002, 1.009), P=0.006), and apoA-I (OR=0.995, 95% CI (0.992, 0.999), P=0.008), in addition, no causal link was found with HDL-C, TC, apoB. Sensitivity analysis demonstrated the robustness of these causal relationships. However, through multivariate MR(MVMR) and multiple testing correction, LDL-C and TG had no causal effect on the outcome. ApoA-I remained a protective factor for the risk of COPD (OR=0.994, 95% CI (0.990-0.999), P=0.008). Through MR analysis, this study offers evidence of a causal link between apoA-I with COPD. This further substantiates the potential role of lipid metabolism in COPD, and has significant clinical implications for the prevention and management of COPD. Show less

To explore neurodynamic bases underlying subjective cognitive decline (SCD) based on edge-centric functional network. 211 SCD patients and 210 healthy controls (HC) were recruited from the Alzheimer's Disease Neuroimaging Initiative. Edge time series (ETS) were obtained based on resting-state functional magnetic resonance data. The top 10% co-fluctuation signals of all time points in ETS were extracted to construct the high-amplitude frame networks, and the co-fluctuation signals from the remaining time points were used to construct the low-amplitude frame networks. In both network states, the graph theory and network-based statistics (NBS) analyses were used to compare SCD and HC. The correlation of the imaging indicators with cognitive scores and apolipoprotein E (APOE) ε4 genes was performed by Spearman correlation analysis. SCD exhibited lower peak amplitude and longer trough-to-trough duration (TTD) compared to HC. In both network states, the normalized clustering coefficient, normalized characteristic path length, small-worldness, and global efficiency of SCD were significantly reduced, and the altered nodal centralities of SCD predominantly exhibited a decreasing trend. However, the high-amplitude frame network identified more altered brain regions compared to the low-amplitude frame network. Furthermore, a SCD-related subnetwork was found in the high-amplitude frame network, which was composed of 11 brain regions and 13 edges. TTD was positively related to the number of APOE ε4 genes; the normalized characteristic path length, the betweenness centrality of right postcentral gyrus, and the connection between bilateral angular gyrus were correlated with cognitive scores. Our findings demonstrate that the edge-centric network framework reveals details of brain network alterations in SCD through different perspectives, and these alterations hold potential as novel biomarkers for SCD. Show less

Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease with limited therapeutic options, thus necessitating novel strategies targeting upstream fibrogenic drivers; the exact impact of apolipoprotein E (apoE) on IPF and its therapeutic potential remain unexplored. This study aims to identify novel therapeutic targets for pulmonary fibrosis and elucidate the mechanism by which plasma apoE alleviates this condition. We conducted an integrated meta-analysis of seven plasma cohorts and two-sample Mendelian randomization to assess apoE's association with IPF risk. CRISPR-engineered APOE-deficient canines and Apoe Plasma apoE was identified as a robust protective factor against IPF, with genetically elevated levels correlating with improved pulmonary function, and its deficiency in plasma showed potential diagnostic value for IPF. APOE-deficient canines developed spontaneous pulmonary fibrosis, and Apoe Plasma apoE is a causal guardian against pulmonary fibrogenesis, inhibiting TGF-β/Smad signaling through dual receptor (LRP1/PLAU) engagement. Cross-species validation and mechanistic elucidation position RGX-104, a small-molecule LXR agonist, as a potential therapeutic candidate for clinical translation in IPF. Show less

Cholesterol plays a crucial role in regulating synaptic membrane fluidity and ion channels. Due to the blood-brain barrier, cholesterol in the brain is primarily self-synthesized by astrocytes. However, limited research has been conducted on the effects of polystyrene nanoplastic (PS-NPs) on intracranial cholesterol metabolic pathways. In this study, we exposed whole-brain organoids (WBOs) to PS-NPs and identified significant changes in endoplasmic reticulum stress and cholesterol biosynthesis pathways through whole-transcriptome sequencing. To investigate potential mechanisms of altered cholesterol pathways, we constructed a Transwell neuronal-astrocyte co-culture model. Results demonstrated that PS-NPs induced significant endoplasmic reticulum stress in astrocytes, specifically manifested by elevated levels of ATF4 and CHOP, along with increased autophagy indicated by the elevated LC3-II/I ratio. PS-NPs significantly inhibited the AKT/ACLY pathway of cholesterol biosynthesis, leading to marked reductions in acetyl-CoA and cholesterol within astrocytes (P < 0.05). In addition, PS-NPs led to a significant reduction of apolipoprotein APOE, which hindered cholesterol transport and ultimately inhibited synaptin (SYN) formation. In summary, PS-NPs induce endoplasmic reticulum stress and autophagy in astrocytes, impair cholesterol de novo synthesis and apolipoprotein-mediated transport, ultimately inhibiting neuronal synaptogenesis. Furthermore, specific inhibition of ERs restored cholesterol synthesis in astrocytes and neuronal synapses. This study demonstrates that PS-NPs produce neurotoxic effects by affecting cholesterol homeostasis in the brain. Show less

Metabolic reprogramming is a hallmark of cancer; however, the mechanisms driving metabolic heterogeneity across diverse cell types in the tumor microenvironment remain poorly understood. Most existing methods predict metabolic states at the pathway level but rarely map reaction-level alterations to their upstream regulators, thereby constraining both interpretability and translational relevance. We developed MetroSCREEN, a reference-guided computational framework that infers reaction-level metabolic flux propensity and nominates upstream regulators from bulk and single-cell transcriptomes. MetroSCREEN uses a fast enrichment-based procedure to quantify reaction-level metabolic activity. To characterize metabolic regulons, it integrates intrinsic gene-regulatory signals with extrinsic cell-cell interaction cues, then applies a robust multi-evidence ranking scheme to combine these information sources, and finally employs a constraint-based causal discovery module to infer regulatory directionality. MetroSCREEN accurately predicts reaction-level metabolic activities and their upstream regulators, as demonstrated using paired transcriptomic-metabolomic datasets from the cancer cell lines. We further validated predicted regulators with in-house single-cell CRISPR screens in PC9 cells targeting metabolic regulators. Applying MetroSCREEN to a pan-cancer single-cell atlas of more than 700,000 fibroblasts and myeloid cells across 36 cancer types, we identified ZNF281 and STAT1 as key regulators of collagen metabolism, which is elevated in extracellular-matrix-associated fibroblasts and macrophages at tumor margins. By contrast, APOE and KLF7 regulate sphingolipid metabolism and antigen presentation in macrophages. Leveraging extensive tumor profiles, MetroSCREEN also delineates metabolic subtypes and regulators associated with patient survival and response to immunotherapy. MetroSCREEN is a robust and scalable approach for characterizing metabolic heterogeneity and pinpointing metabolic regulators at single-cell resolution, unveiling novel antitumor targets for future metabolic interventions. The source codes of MetroSCREEN is available at the Github site https://github.com/wanglabtongji/MetroSCREEN . Show less

The ocular surface microbiome (OSM) in patients with meibomian gland dysfunction (MGD) differs from that of healthy individuals. However, the precise role of OSM in MGD remains unknown. Therefore, we aimed to investigate the mechanism of OSM in the inflammation of MGD and the effects of topical sodium butyrate (SB) treatment in ApoE ApoE Five-month-old ApoE ApoE Show less

This study aimed to elucidate the molecular mechanisms by which celastrol (Cel) alleviates atherosclerosis (AS) through the regulation of macrophage autophagy. An AS model was established using ApoE Cel markedly reduced aortic plaque formation, ameliorated dyslipidemia, attenuated inflammatory responses, and enhanced plaque stability in ApoE Cel exerts anti-atherosclerotic effects by activating macrophage autophagy via the AMPK/ULK1 pathway, thereby improving lipid metabolism, reducing inflammation, and stabilizing plaques. These findings highlight the therapeutic potential of Cel and provide new insights into autophagy-targeted strategies against AS. Show less

Atherosclerosis serves as the core pathological basis of cardiovascular, cerebrovascular, and peripheral arterial diseases, posing a serious threat to human health. However, current mainstream treatments such as statin drugs and stent implantation are associated with significant side effects or limited efficacy, highlighting the urgent need for new therapeutic strategies. Pulsed electromagnetic fields (PEMFs), due to their noninvasive nature and anti-inflammatory properties, show potential in the treatment of atherosclerosis. This study utilized ApoE-/- mice, ApoE-/-NLRP3-/- knockout mice, human umbilical vein endothelial cells (HUVECs), human aortic endothelial cells (HAECs), and human plasma samples for experiments, revealing significant endothelial cell (EC) inflammation and pyroptosis during the progression of atherosclerosis. PEMFs were found to effectively inhibit the activation of the NLRP3 inflammasome, reduce plaque formation, and delay the progression of atherosclerosis. Proteomic analysis of plasma from atherosclerosis patients further indicated elevated expression levels of proteins related to inflammation and pyroptosis, with particularly notable changes in membrane proteins. Mechanistic studies demonstrated that PEMFs improve mitochondrial dysfunction in ECs by regulating membrane tension and the mechanosensitive tension-mediated transient receptor potential vanilloid 4 (TRPV4) channels, thereby reducing pyroptosis. This discovery not only reveals a novel mechanobiological pathway but also provides a solid theoretical foundation for the development of PEMF-based therapies for atherosclerosis. Schematic diagram of the mechanism by which PEMFs treat atherosclerosis (created in BioRender). Wei, B. (2025) https://BioRender.com/undefined ). Show less

β-Secretase (BACE1), a key enzyme to producing neurotoxic β-amyloid, is a potential biomarker of Alzheimer's disease (AD). Developing a sensitive and efficient detection method for BACE1 activity is significant for AD progression evaluation. Due to the poor cleavage efficiency and acidic working conditions of BACE1, developing probes with high stability and strong signals is challenging for its detection. This work proposed a dual-mode BACE1 detection method based on surface-enhanced Raman scattering and dark-field microscopy. 4-Mercaptobenzoic acid (4-MBA), as the internal Raman reporter of Au@Ag nanoparticles (NPs), shows stable and enhanced Raman signals in an acidic environment. The plasmonic Au Show less

BackgroundAlzheimer's disease (AD) is a neurodegenerative disorder characterized by pathogenesis involving numerous factors. Recent research has highlighted the significant role of autoimmunity in the initiation and progression of AD, with autoantibodies emerging as a pivotal area of investigation. Nevertheless, the influence of autoantibodies in AD is marked by substantial heterogeneity, they may either mitigate disease progression by clearing pathogenic protein aggregates or exacerbate the pathological process through mechanisms such as the activation of inflammatory responses or the induction of neuronal damage.ObjectiveThis review aims to synthesize the various roles of autoantibodies in AD, examine the factors that influence their functions, and assess their potential application in precision immunotherapy.MethodsPubMed and Web of Science databases were searched for English-language papers (2015-2025). Peer-reviewed human, animal and cell studies, systematic reviews and meta-analyses were screened independently by two reviewers.ResultsA total of 87 studies were selected for inclusion, spanning human, animal, and cellular research. The findings indicated that certain autoantibodies, such as those targeting amyloid-β, tau, or 4-hydroxynonenal, may confer neuroprotective effects. Conversely, other autoantibodies, including those against BACE1, aquaporin-4, or HuD, may exacerbate AD pathology. Importantly, some autoantibodies were found to exhibit dual roles, contingent upon their specific modifications or the context of the disease.ConclusionsAutoantibodies constitute a double-edged immune axis in AD. Their impact hinges on antigen class, disease stage, isotype affinity and glycosylation. Precision strategies-like CAAR-T cell therapy, glycosylation modulation, and affinity optimization-offer therapeutic promise but require further validation. Show less

Alzheimer's disease (AD) presents significant challenges due to its intricate pathogenic mechanisms and the limited efficacy of single-target therapies. In this study, we investigated the potential of chlorogenic acid (CHA), a multifunctional natural active compound, in AD therapy by developing a trifunctional nanocarrier (MC-H/R/si). CHA was effectively conjugated with iron-based metal-organic frameworks (MIL/Fe-100) through chelation interaction. The resulting nanocomplex (MC) not only enhances the bioavailability of CHA but also facilitates a synergistic antioxidant effect between CHA and MIL/Fe-100. Importantly, CHA can chelate Zn Show less

Accumulating evidence indicates that neuroinflammation is involved in the pathogenesis of Alzheimer's disease (AD). According to RNA sequencing and quantitative PCR (qPCR), we found that chemokine CCL3 mRNA expression was abnormally upregulated in the brains of AD transgenic mice. Moreover, the levels of CCL3 in the serum of AD patients were significantly elevated and negatively correlated with their cognitive abilities. However, the role of CCL3 in AD neuroinflammation and pathological damages remains elusive. Using behavioral, histological, and biochemical methods, outcomes of CCL3 antibody treatment on neuropathology and cognitive deficits were studied in the APPswe/PS1dE9 mice. In the present study, we reported that CCL3 protein expression was increased in the APPswe/PS1dE9 mice, whereas blockage of CCL3 with neutralizing antibody potently inhibited CCL3 activation in the APPswe/PS1dE9 mice down to the levels of wild-type mice. Specifically, CCL3 antibody significantly improved the learning and memory abilities of APPswe/PS1dE9 mice. In addition, CCL3 antibody treatment decreased cerebral amyloid-β (Aβ) levels and plaque burden via inhibiting amyloid precursor protein (APP) processing by reducing beta-site APP cleaving enzyme 1 (BACE1) expression in the APPswe/PS1dE9 mice. We also found that CCL3 antibody treatment alleviated neuroinflammation and reduced synaptic defects in the APPswe/PS1dE9 mice. Furthermore, the activated NF-κB signaling pathway in APPswe/PS1dE9 mice was inhibited by CCL3 antibody treatment. Collectively, our findings provide evidence that CCL3 activation may contribute to the AD pathogenesis and may serve as a novel therapeutic target in the treatment of AD. Show less

Alzheimer's disease (AD) is an irreversible and progressive neurodegenerative disorder. The vicious circle between amyloid-β peptide (Aβ) overgeneration and microglial dysfunction is an important pathological event that promotes AD progression. However, therapeutic strategies toward only Aβ or microglial modulation still have many problems. Herein, inspired by the Aβ transportation, an Aβ-derived peptide (CKLVFFAED) engineered biomimetic nanodelivery system (MK@PC-R NPs) is reported for realizing BBB penetration and reprogram neuron and microglia in AD lesion sites. This hollow mesoporous Prussian blue-based MK@PC-R NPs carrying curcumin and miRNA-124 can down-regulate β secretase expression, thereby inhibiting Aβ production and reducing Aβ-induced neurotoxicity. Meanwhile, MK@PC-R NPs with excellent antioxidant and anti-inflammatory properties could normalize the microglial phenotype and promote Aβ degradation, providing neuroprotection. As expected, after treatment with MK@PC-R NPs, the Aβ burdens, neuron damages, neuroinflammation, and memory deficits of transgenic AD mice (APP/PS1 mice) are significantly attenuated. Overall, this biomimetic nanodelivery system with anti-Aβ and anti-inflammatory properties provides a promising strategy for the multi-target therapy of early AD. Show less

By integrating single-cell and bulk RNA-sequencing data for esophageal cancer (ESCA), we developed and validated a seven-macrophage-gene prognostic signature (FCN1, SCARB2, ATF5, PHLDA2, GLIPR1, CHORDC1, and BCKDK). This signature effectively stratified patients into high- and low-risk groups with significantly different overall survival, achieving area under the curve (AUC) values greater than 0.7 for 1-, 2-, and 3-year survival prediction. A high-risk status correlated with an immunosuppressive tumor microenvironment, characterized by lower infiltration of B cells and CD8 + T cells, and was associated with reduced sensitivity to multiple chemotherapeutic agents, including Cisplatin and 5-Fluorouracil. Conversely, a low-risk status was linked to greater immune cell infiltration and higher predicted chemosensitivity. At the single-cell level, pseudotime analysis revealed that macrophage maturation significantly correlated with a decreasing risk score, suggesting that mature macrophages may contribute to a favorable prognosis. Furthermore, cell communication analysis identified high-risk macrophages as dominant drivers of a pro-tumorigenic microenvironment via signaling pathways, such as SPP1 and complement. In conclusion, this seven-gene signature is a robust prognostic biomarker that offers a new strategy for personalized risk assessment and treatment selection in ESCA. The online version contains supplementary material available at 10.1007/s13205-025-04452-w. Show less