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PubMed2026

Both L-Lactyl and D-Lactyl Enantiomers Modify Histones in Mouse Testis.

Dynamic histone posttranslational modifications are crucial to precisely orchestrate gene expression programs. The recently discovered histone lysine lactylation has already been explored in various pathological contexts, but less in normal tissues. This modification exists as two enantiomers, L- and D-lactylation; the former may more likely modify histones due to abundant L-lactate produced by glycolysis. Here, we report the identification by proteomics of L- and D-lactylation on lysines of histones H3 and H4 in mouse testis. We developed a targeted proteomic analysis of histone peptides using synthetic sequences modified by L- or D-lactyl, to acquire reliable identification and quantification data. Some histone peptides bearing either enantiomer are separated by reversed-phase chromatography. Interestingly, despite the fact that L-lactate is much more abundant than D-lactate in mouse testis, we estimated abundance ratios of L-over D-lactylation to lie between 0.4 and 1.6 on seven residues of histones H3 and H4. Next, targeted proteomic analyses were performed on histones extracted from meiotic and postmeiotic male germ cells (spermatocytes and round spermatids, respectively), which are known to use L-lactate as a main source of energy. Nonetheless, residues 18 and 23 of histone H3 (H3K18 and H3K23) were reliably quantified and shown to harbor balanced amounts of both enantiomers. The stoichiometry of lactylation is low over the whole sequence of H3 and H4, representing about 0.01 to 0.44%: this contrasts with acetylation which exists at up to 25 to 35% relative abundances on some N-terminal lysines. Yet, lactylation appears to be more abundant than acetylation on the C-terminal half of H3 and H4, where the latter modification is scarce. Collectively, our results suggest a mechanism producing a mixture of the two enantiomers of lactate, or of a more direct substrate for lactylation, that leads to the modification of histones by L- and D-lactylation.

Animals↗

PubMed2026

Immune Regulatory Signatures Associated with Different Recovery Durations of Delayed Graft Function after Kidney Transplantation.

Delayed graft function (DGF) is a common early complication of kidney transplantation characterized by immune activation. The duration of DGF may significantly affect long-term graft survival, yet the immune mechanisms underlying the different DGF durations remain unclear. Using a functional definition of delayed graft function (fDGF), defined as a failure of serum creatinine to decrease by at least 10% per day for three consecutive days within the first postoperative week, patients were stratified into short-term DGF (SDGF) and long-term DGF (LDGF) groups according to recovery periods. In this exploratory study, targeted proteomic analysis indicated that proteins enriched in SDGF were primarily involved in innate immune responses and acute inflammatory processes, including neutrophil chemotaxis and migration, whereas LDGF exhibited features related to adaptive immune responses and chronic inflammation, such as T-cell differentiation and activation. IL-7 and CCL20 were identified as candidate molecules potentially associated with different DGF durations. Targeted metabolomics revealed disturbances in amino acid metabolism, particularly alanine, aspartate, and glutamate metabolism, as well as in energy metabolism, including the tricarboxylic acid (TCA) cycle, which may be involved in LDGF. These findings provide preliminary insights into immune metabolic features associated with different DGF recovery durations.

Humans↗

PubMed2026

Proteomic responses of the oil palm pest Metisa plana (Psychidae) to farnesyl acetate exposure.

Metisa plana Walker (Lepidoptera: Psychidae) is a major defoliator of oil palm in Malaysia, causing substantial economic losses. Farnesyl acetate (FA), a sesquiterpenoid compound, has been proposed as a potential insecticidal agent against M. plana, yet its molecular impact on larval physiology remains poorly understood. Here, we employed label-free quantitative proteomics, functional enrichment analysis, and targeted transcript assessment to characterize the temporal proteomic response of M. plana larvae at 7 and 14 days after treatment (DAT) with FA. Principal component analysis revealed robust separation between treated and control samples at both time points, indicating sustained treatment-driven proteomic restructuring. Early exposure (7 DAT) elicited a heterogeneous response involving stress-associated proteins, redox enzymes, and cytoskeletal regulators, whereas later exposure (14 DAT) produced a consolidated profile characterized by metabolic reprogramming, downregulation of ribosomal proteins, induction of heat shock proteins, and enrichment of RNA surveillance and mitochondrial pathways. Targeted transcript analysis qualitatively supported proteomic trends for HSP83 and aldehyde dehydrogenase X, although limited amplification precluded quantitative inference. Collectively, these findings demonstrate that FA exposure drives a shift from acute proteomic perturbation toward a maintenance-oriented physiological state, prioritizing proteostasis, energy management, and stress adaptation over growth and development. This integrated molecular perspective provides mechanistic insight into the chronic effects of FA, highlighting its potential to suppress larval performance and informing the development of biorational, physiology-based pest management strategies in non-model insects.

Animals↗

PubMed2026

Systematic proteomic analysis of neuroimaging metrics identifies therapeutic targets for pituitary neuroendocrine.

The relationship between proteomics and neuroimaging metrics (NIMs) is still not fully understood. By examining the specific proteins expressed in different NIMs, researchers can gain insights into how these NIMs contribute to pituitary neuroendocrine tumors (PitNETs), ultimately enabling the development of targeted interventions and treatments. We identified 15 significantly NIMs and 18 proteins that exhibit a noteworthy causal relationship with the risk of developing PitNETs by forward MR analysis. Additionally, 10 proteins and one distinct neuroimaging metric with PitNETs. Then, the MR results indicated the identification of 33 significant relationships, which connect proteins with NIMs across five distinct categories. Then, we discovered that NIMs are capable of mediating 63% of the inverse relationship observed between WNT3 and the phenotypic characteristics of PitNETs. The results also suggested that WNT3 was associated with hypothalamic function, pituitary function, thyroid function, adrenal function, and gonadal function. Additionally, WNT3 expression was higher in PitNETs and was verified in multiple datasets. This research effectively connects the roles of protein markers with the structures of the brain and the PitNETs that can affect it. By establishing this link, the study provides valuable insights that can help in understanding the complex mechanisms that contribute to PitNETs.

Proteomics↗

PubMed2024

Identification of biomarkers and potential therapeutic targets for pancreatic cancer by proteomic analysis in two prospective cohorts.

Pancreatic cancer (PC) is the deadliest malignancy due to late diagnosis. Aberrant alterations in the blood proteome might serve as biomarkers to facilitate early detection of PC. We designed a nested case-control study of incident PC based on a prospective cohort of 38,295 elderly Chinese participants with ∼5.7 years' follow-up. Forty matched case-control pairs passed the quality controls for the proximity extension assay of 1,463 serum proteins. With a lenient threshold of p < 0.005, we discovered regenerating family member 1A (REG1A), REG1B, tumor necrosis factor (TNF), and phospholipase A2 group IB (PLA2G1B) in association with incident PC, among which the two REG1 proteins were replicated using the UK Biobank Pharma Proteomics Project, with effect sizes increasing steadily as diagnosis time approaches the baseline. Mendelian randomization analysis further supported the potential causal effects of REG1 proteins on PC. Taken together, circulating REG1A and REG1B are promising biomarkers and potential therapeutic targets for the early detection and prevention of PC.

Humans↗

PubMed2025

Potential therapeutic targets for ovarian hyperstimulation syndrome revealed by proteome-wide mendelian randomization and colocalization analysis.

Ovarian hyperstimulation syndrome (OHSS) is a severe complication associated with assisted reproductive technologies, characterized by metabolic, immune and vascular disorders. Understanding the molecular mechanisms underlying OHSS could reveal potential therapeutic targets and improve patient outcomes. In this study, We aimed to utilize proteome-wide Mendelian randomization (MR) and colocalization analysis to identify plasma proteins associated with OHSS and evaluate their potential as therapeutic targets through druggability assessment. We employed proteome-wide MR analysis summary data-based Mendelian randomization (SMR) analysis and phenome-wide association study (PheWAS) analysis to establish causal relationships between plasma proteins and OHSS. Colocalization analysis confirmed overlaps between proteins and genetic signals associated with OHSS. Pathway and network analyses were conducted to explore biological functions and protein interactions, while drug-target databases were queried for potential therapeutic interventions. Our results showed that 4 key proteins, including Suprabasin (SBSN), SLAMF4 (CD244), Enolase 3 (ENO3) and Thioredoxin domain-containing protein 12 (TXNDC12) were identified as significant contributors to OHSS. Pathway enrichment and interaction analyses further supported their involvement in metabolic, immune and structural pathways related to OHSS. Drug availability for colocalized proteins reveled potential drug targets for ENO3 (2-deoxy-D-glucose), CD244 (lenalidomide) and TXNDC12 (Auranofin), while no potential drug targets were identified for SBSN. Over all, our study identified15 plasma proteins, including SBSN, CD244, ENO3, and TXNDC12, as key contributors to the risk of OHSS through MR and colocalization analysis. These proteins were involved in metabolic regulation, immune response and antioxidant pathways, highlighting potential therapeutic targets and suggesting new directions for treatment strategies.

Humans↗

PubMed2026

Qingfei Dayuan granules alleviate the inflammatory response in lipopolysaccharide-induced acute lung injury mice by inhibiting the Nf-κB signaling pathway and regulating the complement pathway.

OBJECTIVES: The study aimed to explore the effects and mechanisms by which Qingfei Dayuan granules (QFDY) mitigate pulmonary inflammation in lipopolysaccharide (LPS)-induced acute lung injury (ALI). METHODS: We established an ALI mouse model by intraperitoneal injection of LPS. HE, Transmission electron microscopy, ELISA assay of inflammatory cytokines, and immunohistochemistry (IHC) were used to assess the degree of lung injury and inflammation. Utilizing network analysis and proteomics analysis, the potential targets and pathways of QFDY were identified. Western blot, IHC, and qRT-PCR analysis were used to evaluate the potential mechanism of QFDY. Additionally, the chemical composition of QFDY were performed using UPLC-MS/MS. KEY FINDINGS: QFDY reduced the pathologic changes and inflammatory cell infiltration in lung tissue inflammation. Network and proteomic analysis showed that the mechanism of QFDY protection against ALI is closely related to the Nuclear factor-kappa B (NF-κB) signaling pathway and complement pathway. Animal experiments showed that Qingfei Dayuan granules (QFDY) significantly reduced the levels of IL-1β, IL-6, TNF-α, and lung tissue F4/80-positive alveolar macrophages. Additionally, western blot and qRT-PCR analyses showed the inhibition of the NF-κB pathway. Notably, the levels of mannose-binding lectin (MBL2) were significantly increased, while complement C3a and complement C5a proteins were reduced in the QFDY group compared to the LPS group. CONCLUSIONS: QFDY suppressed the inflammation in LPS-induced ALI by inhibiting the NF-κB and complement pathway.

Animals↗

PubMed2025

Association Analysis of the Circulating Proteome With Sarcopenia-Related Traits Reveals Potential Drug Targets for Sarcopenia.

BACKGROUND: Sarcopenia severely affects the physical health of the elderly. Currently, there is no specific drug available for sarcopenia. This study aims to identify pathogenic proteins and druggable targets for sarcopenia through Mendelian randomization (MR)-based analytical framework. METHODS: A sequential stepwise screening method that includes two-sample MR, Steiger filtering test and colocalization (MRSC) was applied to identify causal proteins associated with sarcopenia-related traits. In the MR analyses, 4372 circulating proteins with valid instrumental variables (IVs) from eight proteomic genome-wide association studies were utilized as exposures, and nine sarcopenia-related traits were utilized as outcomes. IVs were classified into cis-protein quantitative trait loci (pQTLs) and trans-pQTLs based on their positions. We conducted cis-only MRSC analyses and cis + trans MRSC analyses using cis-pQTLs and cis + trans pQTLs as IVs, respectively. Post-MRSC analyses were conducted on the prioritized findings of MRSC, including annotation of protein-altering variants (PAVs), assessment of overlap between pQTLs and expression quantitative trait loci (eQTLs), protein-protein interaction (PPI) analysis, pathway enrichment analysis and annotation of drug targets. Utilizing data from the UK Biobank, we performed an observational study to explore the associations between baseline circulating protein levels and the longitudinal changes in nine sarcopenia-related traits. RESULTS: A total of 181 causal associations for 65 proteins were prioritized by the cis-only MRSC analyses and 227 associations for 91 proteins were prioritized by the cis + trans MRSC analyses. Among the prioritized proteins, the majority of them employed non-PAVs as IVs and most of their cis-pQTLs overlapped with corresponding eQTLs and exhibited consistent directionality, with only one trans-pQTL overlapping with an eQTL. The PPI network of cis-only MRSC-prioritized proteins (p = 4.04 × 10-4) and cis + trans MRSC-prioritized proteins (p = 8.76 × 10-5) showed significantly more interactions than expected. Reactome, KEGG and GO pathway enrichment analyses for cis-only MRSC-prioritized proteins identified 52, 12 and 79 enriched pathways, respectively (adjusted p < 0.05). For proteins identified by cis + trans MRSC analyses, only 15 pathways were enriched through the GO pathway enrichment analyses. In the observational study, 197 circulating proteins were identified to be associated with one or more sarcopenia-related traits (p < 0.05/2923). Among them, the significant associations of CTSB (negative association) and ASGR1 (positive association) with sarcopenia-related traits were observed to have consistent directional associations in both MR-based studies and observational studies. Drug target annotations suggested that 52 MRSC-prioritized proteins and 145 biomarkers are drug targets or druggable. CONCLUSIONS: This study identified 89 potential pathogenic proteins and 197 candidate biomarkers for sarcopenia, providing valuable clues for the development of therapeutic drugs for sarcopenia.

Humans↗

PubMed2026

Editor's Choice - Aquaporin-4: A Predictor and Therapeutic Target for Permanent Paraplegia after Endovascular Thoraco-abdominal Aortic Aneurysm Repair.

OBJECTIVE: Endovascular thoraco-abdominal aortic aneurysm (TAAA) repair can impair spinal cord perfusion, leading to paraplegia. The mechanisms driving this devastating complication are poorly understood. This study aimed to interrogate the cerebrospinal fluid (CSF) proteome in patients after TAAA repair to identify biomarkers that herald permanent paraplegia. It also aimed to investigate a potential therapeutic target identified by proteomics using an in vivo model of ischaemic spinal cord injury (iSCI). METHODS: CSF was collected for proteomic analysis from patients before and following TAAA repair. A differentially expressed protein identified in human paraplegic subjects was subsequently interrogated in a rodent model of iSCI. The protein composition of CSF was analysed using tandem mass tag proteomics. Neurological examinations were carried out by a blinded neurologist and T2 weighted magnetic resonance imaging (MRI) was used to measure spinal cord volume and oedema. A rodent model of iSCI was used to investigate a clinically relevant therapeutic target informed by proteomic findings. RESULTS: CSF analysis was taken from 37 patients, all of whom had aneurysm repair using a custom branched and or fenestrated device (median age 73.5 years, range 67 - 78 years; 27 men, ten women; Crawford classification: six type I, 11 type II, 15 type III, three type IV, and two type V). Five patients remained permanently paraplegic and seven recovered from transient paraplegia. The CSF of patients who remained paraplegic contained approximately fourfold more aquaporin-4 (AQP4) (41.8 ± 19.2 ng/mL, n = 5) than those who recovered from paraplegia (10.8 ± 1.3 ng/mL, n = 7; p = .005) or did not develop paraplegia (10.8 ± 1.2 ng/mL, n = 25; p = .004). Permanently paraplegic patients had CSF AQP4 levels > 15 ng/mL and this was associated with greater cord oedema on T2 weighted MRI (1.77 ± 0.19 vs. 1.03 ± 0.36; p = .032). In a rodent model of iSCI, AQP4 inhibition preserved spinal neurons and glia in the dorsal horn and intermediate zones of white matter (p = .004) and protected against ischaemia induced paraplegia (p < .001). CONCLUSION: The AQP4 level in the CSF of a patient represents a prognostic marker of permanent paraplegia after TAAA repair and highlights a novel therapeutic target. These findings represent a conceptual advance in the management of iSCI.

Paraplegia↗

PubMed2026

Plasma Proteomics Identifies Thousand-and-One-Amino Acid Kinase 3 as a Potential Biomarker of Rheumatoid Arthritis Activity and a Novel Therapeutic Target.

OBJECTIVE: Bone destruction associated with active rheumatoid arthritis (RA) remains a major therapeutic challenge, with a lack of reliable molecular markers reflecting bone injury. This study aims to identify novel biomarkers linked to bone destruction in active RA through proteomic analysis, providing new strategies for precise monitoring and targeted therapy. METHODS: Data-independent acquisition mass spectrometry was used for proteomic quantification and bioinformatic analysis on plasma samples from 160 patients with RA and 40 healthy controls. Key proteins associated with bone destruction were screened by integrating Sharp scores with synovial single-cell RNA sequencing data and subsequently validated in two independent cohorts (N1 = 50 and N2 = 10) using enzyme-linked immunosorbent assay and multiplex immunohistochemistry. Functional studies were conducted using fibroblast-like synoviocytes (FLSs) in vitro and a collagen-induced arthritis (CIA) mouse model in vivo. RESULTS: A total of 4,998 plasma proteins were identified, with 506 showing significant differential expression between active and remitted RA. Thousand-and-one-amino acid kinase 3 (TAOK3) levels were positively associated with Sharp scores and markedly elevated in patients with active RA. Combining TAOK3 with C-reactive protein improved diagnostic accuracy for active RA (area under the curve = 0.915). High TAOK3 expression was also associated with increased relapse frequency. Functional studies showed that TAOK3 knockdown suppressed the tumor-like phenotype of FLSs and down-regulated matrix metalloproteinase 1/2/3 and cathepsin K, whereas TAOK3 overexpression promoted pannus cell-mediated bone erosion, mitigated by TAOK3-targeted inhibitor. In vivo, its inhibition showed therapeutic effects in CIA mice. CONCLUSION: TAOK3 serves as a potential biomarker for bone destruction in active RA and as a therapeutic target for precision monitoring and intervention.

Arthritis, Rheumatoid↗

PubMed2026

Machine learning-assisted plasma PEA proteomics enables differential diagnosis of melancholic depression and bipolar disorder.

Differentiating bipolar disorder (BD) from major depressive disorder (MDD) remains a critical unmet need in psychiatry due to overlapping clinical presentations and the absence of reliable biological markers. In this study, we assessed the capacity of multivariate machine learning models to accurately differentiate BD from MDD with melancholic features using plasma proteomic profiles obtained via Proximity Extension Assay (PEA) technology. A total of 67 participants were included (23 BD, 20 MDD, and 24 HC), and plasma protein expression was assessed using the Olink Target 96 Neurology panel. Differential proteomic analysis revealed distinct disorder-specific expression patterns, identifying 21 differentially expressed proteins in BD versus MDD, 18 in BD versus healthy controls, and 7 in MDD versus healthy controls. Using a stepwise feature reduction strategy, machine learning models were trained on three feature sets comprising all proteins, the top 20 most informative proteins, and the top 5 most beneficial proteins, and evaluated across BD-MDD, BD-HC, and MDD-HC classification tasks using five algorithms. For BD-MDD discrimination, the Random Forest model achieved the highest performance when trained on the top 5 protein set (LXN, HAGH, MATN3, PLXNB1, and CTSC), yielding an AUC of 0.905, with similarly strong performance observed using the top 20 protein set. Feature importance analysis highlighted proteins involved in neurodevelopmental processes, immune regulation, and extracellular matrix organization. Overall, these findings demonstrate that integrating plasma proteomics with machine learning enables robust differentiation between BD and MDD with melancholic features, supporting the development of scalable and biologically informed diagnostic tools for precision psychiatry.

Bipolar disorder↗

PubMed2025

Proteomic discovery analysis of quantitatively assessed emphysema in the general population. The MESA Lung Study.

BACKGROUND: Pulmonary emphysema occurs frequently in older adults, often without airflow limitation. Its presence predicts symptoms, respiratory hospitalizations and deaths, and all-cause mortality. Proteomics may provide further insights into emphysema pathogenesis and inform therapeutic targets. OBJECTIVE: We performed a proteomic discovery analysis of percent emphysema on computed tomography (CT) in a population-based, multiethnic sample from the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. Replication was performed in two chronic obstructive pulmonary disease (COPD)-based studies, the SubPopulations and InteRmediate Outcome Measures in COPD Study (SPIROMICS) and the Genetic Epidemiology of COPD (COPDGene) Study. METHODS: MESA recruited participants from the general population in 2000-02. The MESA Lung Study performed full-lung CT scans in 2010-12. Percent emphysema was defined as the percentage of lung voxels < -950 Hounsfield units. Over 7,200 plasma aptamers were measured via SomaScan. Cross-sectional linear and least absolute shrinkage and selection operator (LASSO) regression models were adjusted for demographics, anthropometrics, smoking, renal function, and scanner parameters. Statistical significance was defined as a false discovery rate p-value < 0.05. Gene Ontology (GO)/Reactome enrichment analyses were performed. LASSO-selected proteins' predictive performance was evaluated. RESULTS: Among 2,504 participants in the MESA Lung Study, mean age was 69.4 years, 1,291 had ever smoked, and median percent emphysema-like lung was 1.4%. In total, 1,234 aptamers were significantly associated with percent emphysema in the MESA Lung Study, and 35 replicated in the SPIROMICS and COPDGene Studies. Novel associations included protein family with sequence similarity (FAM) 177A1, syntenin-2, ubiquitin carboxyl-terminal hydrolase 25, and uncharacterized protein C20orf173. Previously identified emphysema-associated proteins included soluble advanced glycosylation end product-specific receptor (sRAGE), protein S100-A12, high mobility group protein B1, and roundabout homolog 2. Enrichment analyses identified 40 GO biological processes, including chemokine production and regulation and cell-cell adhesion and regulation, and two Reactome pathways, including RAGE signaling. In tenfold cross-validation, novel proteins were largely retained by LASSO (R2 = 5.4%), improved overall model performance (R2 = 24.8%), and uniquely explained greater variance in percent emphysema. CONCLUSIONS: This analysis in a general population sample identified novel and previously characterized proteins whose functional roles were validated by GO/Reactome enriched pathways, offering new insights into emphysema pathophysiology and therapeutics.

Humans↗

PubMed2026

CTRP9 ameliorates heart failure with preserved ejection fraction by regulating lipid metabolism.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a major clinical challenge, with cardiac lipotoxicity emerging as a key driver of disease progression. Despite CTRP9’s role in lipid metabolism and cardioprotective properties, its therapeutic potential in HFpEF remains unexplored. This study aimed to investigate whether CTRP9 ameliorates HFpEF by regulating cardiac lipid metabolism and to identify the underlying molecular mechanisms. METHODS: In the established two-hit HFpEF mouse model (induced by a high-fat diet and L-NAME), the mice were treated with either CTRP9 or saline. Cardiac function was evaluated by echocardiography, while hypertrophy, fibrosis, and lipid accumulation were assessed using histology and molecular assays. Proteomic sequencing was further employed to identify downstream targets of CTRP9. RESULTS: CTRP9 treatment significantly improved diastolic function and attenuated cardiac hypertrophy and fibrosis in HFpEF mice. Myocardial lipid accumulation was substantially reduced, accompanied by enhanced fatty acid oxidation. Proteomic analysis identified GPD1 as a key downstream target upregulated by CTRP9. Cardiac-specific knockdown of GPD1 partly abolished the therapeutic benefits of CTRP9. CONCLUSION: Our data suggest that CTRP9 ameliorates HFpEF through GPD1-mediated regulation of cardiac lipid metabolism, identifying the CTRP9-GPD1 axis as a promising therapeutic target for HFpEF.

Animals↗

PubMed2025

The transcription factor BMAL1 inhibits endothelial cell apoptosis by targeting STAT6 to repress its expression.

Corneal transparency is critical for optimal visual function, and corneal neovascularization represents the primary cause of visual impairment globally. Recent studies have identified the transcription factor BMAL1 as a significant regulator of angiogenesis. However, its specific role and underlying mechanisms in endothelial cell apoptosis remain inadequately understood. This study seeks to elucidate the role and underlying mechanisms of BMAL1 in endothelial cell apoptosis by employing genetic modification, alkali-burned mouse corneal neovascularization models, lentiviral transfection, proteomic analysis, and other complementary methodologies. Our results showed that BMAL1 expression is significantly elevated in corneal neovascularization induced by alkali burn and removal of Bmal1 in endothelial cells resulted in the suppression of corneal neovascularization in alkali burn mouse models. In vivo experiments have demonstrated that the knockout of Bmal1 in endothelial cells leads to an increase in endothelial cell apoptosis. Complementary in vitro studies revealed that overexpression of BMAL1 in endothelial cells inhibits apoptosis, while knockdown of BMAL1 promotes apoptosis. Proteomic analysis identified STAT6 as a downstream target of BMAL1 involved in the regulation of endothelial cell apoptosis. Further cell salvage experiments confirmed that BMAL1 modulates endothelial cell apoptosis through the regulation of STAT6 expression. Finally, the results of dual-luciferase reporter assay demonstrated that BMAL1 exerts transcriptional repressive effects on the promoter bound by STAT6. This study elucidates the novel role and mechanism of BMAL1 in the regulation of angiogenesis and endothelial cell apoptosis, thereby identifying a potential therapeutic target for the treatment of vascular diseases such as corneal neovascularization.

ARNTL Transcription Factors↗

PubMed2026

TNFα-induced endothelial extracellular vesicles regulate astrocyte function: an integrated transcriptomic and proteomic study.

Endothelial cells and astrocytes are critical structural and functional components of the blood-brain barrier. In many neuroinflammatory diseases, endothelial cells are among the first to respond to inflammatory stimuli and release extracellular vesicles (EVs). However, whether inflammatory stimulation alters EV RNA cargo and subsequently regulates astrocyte function remains unclear. In this study, we performed integrated RNA sequencing and proteomic analyses to investigate the effects of TNFα-stimulated endothelial EVs on astrocytes. RNA profiling revealed significant alterations in EV cargo after TNFα stimulation, including 867 upregulated and 577 downregulated mRNAs, 317 upregulated and 15 downregulated lncRNAs, and 88 upregulated and 62 downregulated miRNAs. The results of functional enrichment analysis suggested that altered EV RNAs may primarily promote inflammatory responses, cell migration, and RNA splicing in astrocytes while reducing their regulatory effects on neuronal projection and calcium homeostasis. Further integrative analysis of EV RNAs and astrocytic proteomics revealed key overlapping targets, including upregulated expression of ICAM1, SOD2, TFPI2, and TNFAIP8, whereas NFKBIA expression was consistently decreased. Network analysis revealed NF-κB as the central regulatory node. Reduced levels of EV-derived NFKBIA mRNA were associated with decreased IκBα protein levels in astrocytes, which promoted NF-κB activation and inflammatory cytokine release. Finally, overexpression of IκBα in astrocytes significantly attenuated TNFα EV-induced IL-1β and IL-6 secretion. Collectively, these findings demonstrate that TNFα-stimulated endothelial EVs coordinately regulate astrocyte function through mRNA, lncRNA, and miRNA cargo and that the IκBα/NF-κB axis may be a key mechanism underlying endothelial EV-mediated inflammatory disruption of the blood-brain barrier.

Astrocytes↗

PubMed2026

Proteomic and Phosphoproteomic Signatures Link Molecular Remodeling to Behavioral Outcomes Following Elderberry and DHA Supplementation in Aging Mice.

Background: Aging is a risk factor for Alzheimer's disease and related dementias, which are associated with synaptic dysfunction and cognitive decline. Elderberry (Sambucus spp.) is rich in anthocyanins with antioxidant and anti-inflammatory properties. Docosahexaenoic acid (DHA), an essential fatty acid, plays a key role in neuronal membrane integrity during brain aging. However, it remains unclear whether elderberry and DHA exert overlapping or distinct effects on brain aging and how these relate to molecular signaling. This study aimed to characterize molecular signatures induced by dietary supplementation and to determine their relationships with behavioral outcomes. Methods: 44-week-old male C57BL/6J mice were randomly assigned to control, elderberry, DHA, or combined diets for 12 weeks. Behavioral testing assessed anxiety-like behavior, spatial learning and memory. Brain tissues underwent proteomic and phosphoproteomic profiling and fatty-acid analysis. Data were analyzed using Ingenuity Pathway Analysis to identify enriched pathways, upstream regulators, and functional associations. Results: Elderberry as well as DHA supplementation induced targeted remodeling of the proteome and phosphoproteome, with pathway enrichment involving synaptogenesis, glutamatergic signaling, and long-term potentiation. Upstream-regulator analysis predicted elderberry-associated CDK5 signaling, accompanied by reduced MAPT/Tau phosphorylation at selected sites, whereas DHA supplementation was associated with CAMK-related signaling. DHA supplementation altered fatty-acid composition, increasing the n-3/n-6 ratio. Elderberry reduced anxiety-like behavior and improved target-directed search during the Barnes maze probe test. Molecular signatures were examined in relation to the measured behavioral outcomes. Conclusions: Elderberry and DHA are associated with distinct molecular networks related to synaptic function and behavioral outcomes in the aging male mouse brain. These findings support further investigation of elderberry and DHA as dietary interventions targeting molecular and behavioral features of brain aging.

Animals↗

PubMed2026

DORSSAA: Drug-Target interactOmics Resource Based on Stability/Solubility Alteration Assay.

Advancements in high-throughput techniques such as Thermal Proteome Profiling and the high-throughput Proteome Integral Solubility Alteration assay have revolutionized our understanding of drug-protein interactions. Despite these innovations, the absence of an integrative platform for cross-study analysis of stability and solubility alteration data represents a significant bottleneck. To address this gap, we introduce Drug-target interactOmics Resource based on Stability/Solubility Alteration Assay (DORSSAA), an interactive and expandable web-based platform for the systematic analysis and visualization of proteome stability and solubility alteration assay datasets. Currently, DORSSAA features 1,135,985 records spanning 38 cell lines and organisms, 135 compounds, and 40,742 protein targets. Through its user-friendly interface, the resource supports comparative drug-protein interaction analysis and facilitates the discovery of actionable therapeutic targets. Through two case studies, methotrexate target profiling in A549 cells and combinatorial-therapy drug-target interactions in leukemia cell lines, we demonstrate DORSSAA's utility for identifying protein-drug interactions across diverse experimental contexts. This resource empowers researchers to accelerate drug discovery and enhance our understanding of protein behavior. Compared with data repositories and interaction databases, DORSSAA provides direct protein-level evidence of mechanisms of action with strict statistical control for each study. This enables more reliable identification of drug targets, off-target effects, and potential drug combinations.

Humans↗

PubMed2026

Divergent evolutionary strategies in spider venoms: A comparative proteomic profiling of four sympatric species from Yunnan.

Spider venoms comprise complex cocktails of bioactive molecules evolved for predation and defense, representing a valuable resource for biological research and pharmaceutical discovery. In this study, we performed a systematic analysis of venom gland extracts from four common spider species indigenous to Yunnan, China: Agelena limbata, Hippasa lycosina, Lycosa grahami, and Sinopoda pengi. Using an integrated transcriptomic and proteomic targeted profiling approach, we successfully annotated 141 distinct toxins. Comparative analysis revealed significant interspecific heterogeneity, suggesting distinct evolutionary trajectories and "weapon system economics." Both A. limbata and L. grahami exhibited a "peptide-dominant" profile anchored by neurotoxic peptides and isomerases, optimized for rapid chemical paralysis. In contrast, S. pengi displayed a distinct "protein-dominant" signature enriched with high-molecular-weight enzymes and CAP superfamily proteins, likely functioning to facilitate tissue degradation and toxin diffusion. Occupying an intermediate position, H. lycosina demonstrated a hybrid composition. These findings suggest that although these species share the same geographical range, their venom systems have undergone divergent evolutionary adaptations driven by specific ecological niches and hunting strategies. This study represents the first systematic proteomic characterization of these venom components, providing a valuable reservoir of molecular candidates while highlighting the bioinformatic nuances of analyzing whole-gland homogenates.

Animals↗