Search Results (202)

Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely linked to comorbidities like obesity, type 2 diabetes, and cardiovascular disease. Given that liver biopsy is the diagnostic gold standard, there is a critical need for minimally invasive tests, particularly for the inflammatory form, metabolic dysfunction-associated steatohepatitis (MASH). In this discovery study, we investigated the plasma proteome to identify blood biomarkers for MASH and explored their potential tissue sources, the liver and visceral adipose tissue. Plasma low-abundance proteome profiling was performed on samples from a cohort of morbidly obese MASLD subjects (n = 90; 40 with MASH, 50 without) using Olink^® panels. Paired liver and visceral adipose biopsies were also analyzed. Data showed 34 significantly different plasma proteins between the two groups, including Pleiotrophin (PTN), Fibroblast growth factor-21 (FGF-21), and Hepatocyte growth factor (HGF), among others. While plasma-tissue correlation was only found for STX8, PTN and FGF-21 demonstrated the strongest associations with the histopathological features of MASH. A diagnostic model combining PTN, FGF-21, and AST achieved a robust AUC of 0.88 (95% CI: 0.84–0.97) for distinguishing MASH. Based on this discovery pilot study, circulating PTN and FGF-21 emerge as promising non-invasive biomarkers for improving patient stratification and supporting therapeutic evaluation in MASH, warranting validation in independent cohorts and future studies. Full article

Extracellular vesicles (EVs) are nanosized structures involved in intercellular communication that have high potential as disease biomarkers and for the delivery of therapeutic cargos. However, translation to the clinic is hampered by time-consuming, low-yield, and poorly reproducible EV isolation methods. We describe a cryogel-based immunoaffinity chromatography system that exploits single-domain VHH antibodies as capture elements for the selective isolation of EVs from human plasma. Supermacroporous cryogels functionalized with five unique anti-EV VHHs (total immobilization capacity ~500 µg/g) were prepared, yielding a highly permeable and hydrophilic support. They were captured and eluted under mild conditions, and their morphology and identity were confirmed by SEM, AFM, NTA, and flow cytometry. Proteomic profiling of the isolated samples identified 234 proteins, of which 63% were ExoCarta-listed exosomal proteins; contaminants such as albumin and apolipoproteins were also identified. The purification method provided samples with ~2 × 10⁹ EVs/mL, with EV median size of 135 nm and consistent protein-to-lipid ratio across three independent isolations (CV < 10%). This study demonstrates that VHH-functionalized cryogels (VHH-SMC) are a rapid and reproducible EV purification method that represents a promising alternative to conventional ultracentrifugation- or precipitation-based protocols. While optimization of nanobody density and reduction in plasma protein carryover are still necessary, the platform holds potential for scalable EV enrichment, a condition that can significantly speed up biomarker research and clinical diagnostics. Full article

Insulin resistance (IR) contributes to atherogenic dyslipidemia and elevated ASCVD risk. Apolipoprotein A1 (ApoA1)-associated lipoproteins have diverse anti-atherogenic functions, but it is unclear whether IR drives adverse changes in their proteomic composition. We hypothesized that IR is associated with an atherogenic ApoA1 proteome and that insulin-sensitizing interventions would improve its composition. We studied 861 participants without diabetes (age 47 ± 12 years, 65.5% female). IR was directly measured using the steady-state plasma glucose (SSPG) concentration via the insulin suppression test. ApoA1-associated proteins were quantified by mass spectrometry. A subset underwent interventions for 3 months (N total 108): pioglitazone, PIO n = 38 or weight loss, WL n = 70). Paired t-tests assessed pre- and post-intervention changes. At baseline, several ApoA1-associated proteins significantly correlated with SSPG. Both interventions improved IR (p < 0.01). PIO led to significant increases in 14 ApoA1-associated proteins, including ApoC1–C4, ApoA2, ApoA4, ApoD, ApoE, LCAT, and PON1/3. WL increased several ApoA1-associated proteins, including ApoA4, ApoD, ApoM, and PON1/3. In conclusion, IR is associated with a pro-atherogenic ApoA1 proteome, and both interventions improve this profile. However, PIO has a broader proteomic impact. These findings highlight the potential of targeting the ApoA1 proteome to reduce residual ASCVD risk. Full article

Background: Fabry disease (FD) is an X-linked lysosomal storage disorder caused by GLA mutations, leading to deficient α-galactosidase A (α-Gal A) activity and progressive glycosphingolipid accumulation. While α-Gal A activity is the diagnostic gold standard, its sensitivity is reduced in late-onset or heterozygous patients. Conventional biomarkers such as lyso-Gb3 provide only limited insight into disease progression and therapeutic response. Exosomes, as stable carriers of disease-specific proteins, may offer complementary biomarkers for early detection and longitudinal monitoring. Methods: Twenty-one pediatric FD patients with confirmed GLA mutations were enrolled. Clinical, enzymatic, renal, and cardiac parameters were assessed. Plasma-derived exosomes were characterized by transmission electron microscopy and proteomic profiling. Differentially expressed proteins were identified using mass spectrometry, analyzed using GO/KEGG enrichment, and validated using RT-PCR, ELISA, and immunofluorescence in patient samples and Gla^−/− mice. Results: Male patients showed markedly reduced α-Gal A activity and elevated lyso-Gb3 compared with females. Although overt renal and cardiac dysfunction was uncommon, several patients exhibited early abnormalities such as proteinuria, an elevated LVMI, or increased cTnI levels. Proteomic analysis identified 2553 proteins, of which 188 were differentially expressed. Fibrosis- and inflammation-related proteins, including THBS1 and CFHR5, were upregulated, while protective factors such as APM1, SERPINA10, and CAB39 were downregulated. IGFBP3 was also elevated and closely linked to tissue remodeling. Enriched pathways were involved in PPAR/AMPK signaling, lipid metabolism, and complement activation. Conclusions: Exosomal proteomic profiling revealed early molecular signatures of cardiorenal involvement in pediatric FD. Key proteins such as THBS1, CFHR5, IGFBP3, APM1, and CAB39 show strong potential as biomarkers for risk stratification, disease monitoring, and therapeutic evaluation. Full article

Extracellular particles (EPs), an umbrella term encompassing membrane-enclosed extracellular vesicles (EVs) and non-vesicular extracellular particles ([NVEPs], previously described as extracellular condensates [ECs]) contain a complex cargo of biomolecules, including DNA, RNA, proteins, and lipids, reflecting the physiological state of their cell of origin. Identifying proteins associated with EPs that regulate host responses to physiological and pathophysiological processes is of critical importance. Here, we report the findings of our study to gain insight into the proteins associated with NVEPs. We used samples from human semen, the rat brain, and the rhesus macaque (RM) brain and blood to assess the physical properties and proteome profiles of NVEPs from these specimens. The results show significant differences in the zeta potential, concentration, and size of NVEPs across different species. We identified 938, 51, and 509 total proteins from NVEPs isolated from rat brain tissues, RM blood, and human seminal plasma, respectively. The species-specific protein networks show distinct biological themes, while the species-conserved protein interactome was identified with six proteins (ALB, CST3, FIBA/FGA, GSTP1, PLMN/PLG, PPIA) associated with NVEPs in all samples. The six NVEP-associated proteins are prone to aggregation and formation of wide, insoluble, unbranched filaments with a cross-beta sheet quaternary structure, such as amyloid fibrils. Protein-to-function analysis indicates that the six identified proteins are linked to the release of dopamine, immune-mediated inflammatory disease, replication of RNA viruses, HIV-HCV co-infection, and inflammation. These interesting findings have created an opportunity to evaluate NVEPs for their potential use as biomarkers of health and disease. Additional in-depth studies are needed to clarify when and how these proteins sustain their physiological role or transition to pathogenic roles. Full article

Background: Extracellular vesicles, particularly exosomes, play a crucial role in cell–cell communication and as carriers of biomarkers. However, their use in clinical settings is limited due to a lack of standardized isolation and characterization. Ultracentrifugation (UC) is considered a gold standard for exosome isolation but presents several limitations. Size-exclusion chromatography (SEC) has recently gained attention as a superior method, which offers better yield, purity, and protection of exosome physical properties. This study focused on optimizing the SEC method for isolation of exosomes from seminal plasma and comparing yield, quality, and proteome profiles with those obtained by UC. Methods: In this SEC method, seminal plasma (0.5 mL) was loaded onto a SEC column and collected in 13 fractions of 0.4 mL each. The physical and molecular characterization of exosomes was carried out using a ZetaView analyzer and Western blot, respectively. Further, SEC-isolated exosomes were used for proteomic profiling and functional bioinformatic analysis. Results: The second and third fractions had the highest concentration of exosomes with uniform size and strong expression of exosome markers. Also, comparative proteomic analysis identified 3315 proteins in SEC-isolated exosomes and 931 in UC-isolated exosomes, with 709 proteins in common. SEC-isolated exosomes showed greater overlap with Vesiclepedia’s and ExoCarta’s top 100 lists than UC-isolated exosomes (Vesiclepedia: 91 vs. 77 proteins, ExoCarta: 94 vs. 79). Proteins from SEC- and UC-isolated exosomes showed similar enrichment profiles across all three gene ontology categories. Conclusions: Overall, this optimized SEC protocol is a reliable alternative method to isolate seminal exosomes with high purity, supporting its potential applications in clinical and basic research. Full article

Metastatic spread remains the primary cause of mortality in melanoma. Our aim was to investigate the role of dermal endothelial cells in modulating melanoma cell invasiveness and cytokine/chemokine pattern. Primary melanoma cell lines were co-cultured with human dermal endothelial cells and assessed using Matrigel invasion assays. Invasive and non-invasive subpopulations were separated for gene expression analyses, and candidate molecules were further evaluated in patient tissue and plasma samples. Co-culture of melanoma and dermal endothelial cells revealed altered expression of several cytokine receptor genes (CCR5, CXCR7, IL1RAPL2, IL4R, IL6ST, IL18R1, IL22RA2, TNFRSF10A, TNFRSF11B, and TNFRSF21). Analysis of clinical melanoma samples showed significant downregulation of IL1RAPL2 and TNFRSF10A in cutaneous metastases, whereas IL6ST expression correlated with Breslow thickness of the primary tumor rather than metastatic site. Proteome profiling of dermal endothelial cells revealed alterations in Midkine, GROα, MIP-3α, IL-8, and SDF-1 following co-culture with melanoma cells. Plasma measurements in melanoma patients confirmed elevated Midkine levels in skin metastases and decreased MIP-3α in metastatic disease. These results highlight potential cytokine and chemokine-mediated pathways involved in melanoma dermal invasion and cutaneous metastasis. While some findings did not reach statistical significance, concordant trends between in vitro and patient-derived data suggest their relevance and warrant further investigation in larger cohorts. Full article

Stereotypic behaviors are common in farm animals and often signal poor welfare. Tongue-rolling is the most prevalent stereotypic behavior in cows. In this study, we compared the plasma and milk composition of 16 high-frequency tongue-rolling cows (HTR group) and 16 non-stereotypic cows (CON group). All cows were primiparous cows. Biochemical tests, plasma metabolomics, and milk proteomics revealed higher plasma triiodothyronine levels in HTR cows, and lower levels of αs1-casein, β-casein, κ-casein, and lactoferrin in their milk. Multi-omics analyses identified 103 differential metabolites and 73 differential proteins, including various GTP-binding proteins, with the Ras signaling pathway being significantly upregulated in the HTR cows. GO enrichment analysis highlighted significant changes in molecular function, particularly related to GTP/GDP-binding proteins. Additionally, HTR cows exhibited elevated cellular metabolic activity. These findings suggest that high-frequency tongue-rolling is associated with altered endocrine and metabolic profiles, disrupted milk protein synthesis, and impaired immune function potential. The reduction in key milk proteins and lactoferrin may negatively impact milk quality and immune defense. Further research is needed to clarify the causal relationship between these physiological changes and tongue-rolling, providing insights into the underlying mechanisms of stereotypic behaviors in dairy cows and their implications for animal welfare and milk production. Full article

Parkinson’s disease, associated with mutations in the GBA1 gene (GBA1-PD), is the most common genetic form of Parkinson’s disease (PD), marked by clinical heterogeneity influenced by mutation type. Extracellular vesicles (EVs), key mediators of intercellular communication, are implicated in PD pathogenesis through the transport of pathological proteins and lipids. In this study, we analyzed blood plasma-derived EVs from GBA1-PD patients carrying p.N370S and p.L444P mutations and from healthy controls using cryo-electron microscopy, lipidomics, and proteomics. EVs from GBA1-PD patients were significantly larger than those from controls, with the largest size and most multilayered vesicles observed in p.N370S carriers. Lipidomic profiling identified 237 lipid species; of these, 186 lipids were altered in p.N370S and 24 in p.L444P versus controls. Mutation carriers showed distinct lipid signatures, with p.L444P samples enriched predominantly in sphingolipids, while p.N370S carriers exhibited more extensive lipid remodeling across multiple classes, including triglycerides, cholesteryl esters, and phospholipids. Notably, Cer 23:0 was elevated across all GBA1-PD groups. Proteomic analysis revealed enrichment in pathways related to lipid transport, immune regulation, and vesicle-mediated processes. Overall, GBA1-PD patients share a distinct lipidomic EV signature, with mutation-specific patterns reflecting differing mechanisms of lysosomal dysfunction. These findings support the potential of EV profiling to unravel disease heterogeneity and identify biomarkers. Full article

The maternal circulating proteome reflects critical physiological adaptations during pregnancy, yet standardized reference profiles for early gestation are lacking. In this prospective study, we employed targeted liquid chromatography–multiple reaction monitoring–mass spectrometry (LC-MRM-MS) with stable isotope-labeled (SIS) standards to characterize the serum proteome of 83 women with uncomplicated singleton pregnancies between 11⁺² and 13⁺⁶ weeks’ gestation. Robust analysis quantified 115 proteins (83% of targets), with 101 meeting ICH M10 standards. These included 38 FDA-approved, 19 CVD-related, and 25 CLIA-approved biomarkers. We identified 43 proteins significantly associated (p < 0.05) with gestational age, maternal factors (BMI, age, parity, and myomas), and fetal sex. Key findings included identification of 12 proteins significantly associated with trisomy risk (|R| = 0.21–0.45, p < 0.05) and extreme physiological variability in pregnancy zone protein (PZP, 123.9-fold), followed by apolipoprotein (a) (LPA; 9.9-fold) and pregnancy-associated plasma protein A (PAPP-A, 9.3-fold). In contrast, hemopexin (HPX) demonstrated remarkable stability (CV = 8.5%), suggesting its utility as a reference marker. The study successfully implemented multiples of the median (MoM) transformation for clinical standardization of protein profiles, with RobNorm proving particularly effective for batch-effect correction in our dataset. These methodological advances, combined with the establishment of comprehensive pregnancy-specific reference ranges, provide a valuable foundation for future research. The optimized analytical framework and protein signatures identified in this work not only enable the development of next-generation screening approaches but also offer new insights into the molecular adaptations occurring during early pregnancy. Full article

Cancer is a systemic disease rather than a localized pathology and is characterized by widespread effects, including whole-body exhaustion and chronic inflammation. A thorough understanding of cancer pathophysiology requires a systemic approach that accounts for the complex interactions between cancer cells and host tissues. To explore these dynamics, we employed a comprehensive metabolomic analysis of plasma samples from patients with either esophageal or head and neck squamous cell carcinoma (SCC). Plasma samples from 149 patients were metabolically profiled and correlated with clinical data. Among the metabolites identified, lysophosphatidylcholine (LPC) emerged as the sole biomarker strongly correlated with prognosis. A significant reduction in plasma LPC levels was linked to poorer overall survival. Plasma LPC levels demonstrated minimal correlation with patient-specific factors, such as tumor size and general condition, but showed significant association with the response to immune checkpoint inhibitor therapy. Proteomic and cytokine analyses revealed that low plasma LPC levels reflected systemic chronic inflammation, characterized by high levels of inflammatory proteins, the cytokines interleukin-6 and tumor necrosis factor-α, and coagulation-related proteins. These findings indicate that plasma LPC levels may be used as reliable biomarkers for predicting prognosis and evaluating the efficacy of immunotherapy in patients with SCC. Full article

Background: Rheumatoid arthritis (RA) is an autoimmune disease that remains incurable. An increasing number of proteomic genome-wide association studies (GWASs) are emerging, offering immense potential for identifying novel therapeutic targets for diseases. This study aims to identify potential therapeutic targets for RA based on human plasma proteome. Methods: Protein quantitative trait loci were extracted and integrated from eight large-scale proteomic GWASs. Proteome-wide Mendelian randomization (Pro-MR) was performed to prioritize proteins causally associated with RA. Further validation of the reliability and stratification of prioritized proteins was performed using MR meta-analysis, colocalization, and transcriptome-wide summary-data-based MR. Subsequently, prioritized proteins were characterized through protein–protein interaction and enrichment analyses, pleiotropy assessment, genetically engineered mouse models, cell-type-specific expression analysis, and druggability evaluation. Phenotypic expansion analyses were also conducted to explore the effects of the prioritized proteins on phenotypes such as endocrine disorders, cardiovascular diseases, and other immune-related diseases. Results: Pro-MR prioritized 32 unique proteins associated with RA risk. After validation, prioritized proteins were stratified into four reliability tiers. Prioritized proteins showed interactions with established RA drug targets and were enriched in an immune-related functional profile. Four trans-associated proteins exhibited vertical or horizontal pleiotropy with specific genes or proteins. Genetically engineered mouse models for 18 prioritized protein-coding genes displayed abnormal immune phenotypes. Single-cell RNA sequencing data were used to validate the enriched expression of several prioritized proteins in specific synovial cell types. Nine prioritized proteins were identified as targets of existing drugs in clinical trials or were already approved. Further phenome-wide MR and mediation analyses revealed the effects and potential mediating roles of some prioritized proteins on other phenotypes. Conclusions: This study identified 32 plasma proteins as potential therapeutic targets for RA, expanding the prospects for drug discovery and deepening insights into RA pathogenesis. Full article

Background: The endogenous opioid system plays a pivotal role in numerous physiological processes and is implicated in a range of diseases, including atherosclerosis, a condition contributing to nearly 50% of deaths in Western societies. Objectives: This study investigates the effects of opioid receptor blockade, using naloxone, on the plasma lipid profile and atherosclerosis progression. Methods: ApoE^−/− mice with advanced atherosclerosis were treated with naloxone for seven days, and the effects on atherosclerotic plaque development and liver steatosis were evaluated. Results: A proteomic analysis of liver samples post-treatment identified 38 proteins with altered abundance. The results revealed that naloxone treatment led to an increase in HDL cholesterol, a lipid fraction associated with protective cardiovascular effects. Furthermore, naloxone did not influence the progression of atherosclerotic plaques or the development of liver steatosis. Conclusions: In conclusion, while short-term naloxone treatment in mice with advanced atherosclerosis does not alter overall atherosclerotic plaque progression or liver steatosis, the observed elevation in HDL cholesterol and the extensive changes in liver protein abundance underscore the complex and multifaceted role of the opioid system in lipid metabolism and cardiovascular health. These findings provide a foundation for further exploration of opioid receptor antagonists as modulators of lipid profiles and potential contributors to cardiovascular therapy. Full article

Rhabdomyosarcoma (RMS), the most common pediatric soft tissue sarcoma, comprises embryonal (ERMS) and alveolar (ARMS) subtypes with distinct histopathological features, clinical outcomes, and therapeutic responses. To better characterize their molecular distinctions, we performed untargeted plasma proteomics and metabolomics profiling in children with ERMS (n = 18), ARMS (n = 17), and matched healthy controls (n = 18). Differential expression, functional enrichment (GO, KEGG, RaMP-DB), co-expression network analysis (WGCNA/WMCNA), and multi-omics integration (DIABLO, MOFA) revealed distinct molecular signatures for each subtype. ARMS displayed elevated oncogenic and stemness-associated proteins (e.g., cyclin E1, FAP, myotrophin) and metabolites involved in lipid transport, fatty acid metabolism, and polyamine biosynthesis. In contrast, ERMS was enriched in immune-related and myogenic proteins (e.g., myosin-9, SAA2, S100A11) and metabolites linked to glutamate/glycine metabolism and redox homeostasis. Pathway analyses highlighted subtype-specific activation of PI3K-Akt and Hippo signaling in ARMS and immune and coagulation pathways in ERMS. Additionally, the proteomics and metabolomics datasets showed association with clinical parameters, including disease stage, lymph node involvement, and age, demonstrating clear molecular discrimination consistent with clinical observation. Co-expression networks and integrative analyses further reinforced these distinctions, uncovering coordinated protein–metabolite modules. Our findings reveal novel, subtype-specific molecular programs in RMS and propose candidate biomarkers and pathways that may guide precision diagnostics and therapeutic targeting in pediatric sarcomas. Full article

Artificial insemination (AI) is a key breeding technique in the swine industry; however, the lack of reliable biomarkers for semen quality limits its effectiveness. Seminal plasma (SP) contains extracellular vesicles (EVs) that present a promising, non-invasive biomarker for semen quality. This study explores the biochemical profiles of boar SP to assess semen quality through near-infrared spectroscopy (NIRS) and proteomics of SP-EVs. Fresh semen from mature Duroc boars was evaluated based on sperm motility, classifying samples as Passed (≥70%) or Failed (<70%). NIRS analysis identified distinct variations in water structures at specific wavelengths (C1, C5, C12 nm), achieving high accuracy (92.2%), sensitivity (94.2%), and specificity (90.3%) through PCA-LDA. Proteomic analysis of SP-EVs revealed 218 proteins in Passed and 238 in Failed samples. Nexin-1 and seminal plasma protein pB1 were upregulated in Passed samples, while LGALS3BP was downregulated. The functional analysis highlighted pathways associated with single fertilization, filament organization, and glutathione metabolism in Passed samples. Integrating NIRS with SP-EV proteomics provides a robust approach to non-invasive assessment of semen quality. These findings suggest that SP-EVs could serve as effective biosensors for rapid semen quality assessment, enabling better boar semen selection and enhancing AI practices in swine breeding. Full article