Blood Proteome Research Articles

Minimally Invasive Versus Invasive Proteomics: Urine and Blood Biomarkers in Coronary Artery Disease.

Coronary artery disease (CAD) is a major cause of morbidity and mortality worldwide. This underlines the urgent need for effective biomarkers for early diagnosis, risk stratification, and therapeutic counseling. Proteomic signatures from plasma and urine have emerged as promising tools for these efforts, each offering unique advantages and challenges. This review provides a detailed comparison of urine and blood proteomic analyzes in the context of CAD and explores their respective advantages and limitations. Urine proteomics offers a minimally invasive, easily repeatable, and temporally stable sampling method, but faces challenges such as lower protein concentrations and potential contamination. Despite its invasive nature, blood proteomics captures high protein concentration and directly reflects systemic physiological changes, making it valuable for acute assessments. Advances in artificial intelligence (AI) have significantly improved the analysis and interpretation of proteomic data, enabling greater accuracy in diagnosis and predictive modeling. AI algorithms, particularly in pattern recognition and data integration, are helping to uncover subtle relationships between biomarkers and disease progression and supporting the discovery of plasma- and urine-based CAD biomarkers. This review demonstrates the potential of combining urine and blood proteomic data using AI to advance personalized approaches in CAD diagnosis and treatment. Future research should focus on standardization of collection protocols, validation of biomarkers in different populations, and the complexity of integrating data from different sources to maximize the potential of proteomics in the treatment of CAD.

Data-independent acquisition-based blood proteomics unveils predictive biomarkers for neonatal necrotizing enterocolitis.

Necrotizing enterocolitis (NEC) is a life-threatening condition affecting preterm infants, sometimes necessitating surgical treatment. This study aimed to analyze differentially expressed proteins (DEPs) and access their biological and clinical significance in the plasma of neonates with NEC. Peripheral blood samples were collected from NEC infants at various time points, and plasma was separated. Data-independent acquisition (DIA) technology was utilized to identify DEPs among NEC patients at different stages. Bioinformatic analyses, including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, and protein-to-protein interaction analyses were performed on the DEPs. External datasets, along with receiver operating characteristic curves and gene set enrichment analysis, were used to clinically and biologically validate the findings. DEPs between the NEC and pre-NEC groups indicated reduced protein, heme, nitrogen, and purine nucleotide biosynthesis during NEC formation. In addition, enriched DEPs among the NEC groups at different time points suggested reconstructed extracellular matrix, aberrant B-lymphocyte immune responses, and decreased glycosaminoglycan levelsduring NEC progression. These findings were both clinically and biologically validated using external datasets. Our study highlights the clinical and biological relevance of proteomics in NEC patients. This study demonstrates key pathways involved in NEC pathogenesis and establishes DIA mass spectrometry as a powerful and noninvasive tool for evaluating and predicting NEC formation and progression.

Blood Proteome Study to Assess the Regulation of Angiogenesis in Cosmonauts After the End of the Flight

A study of blood samples of 18 cosmonauts who had long flights as members of Russian crews of the International Space Station was performed using the method of quantitative proteomics based on mass spectrometry. The study was focused on elucidation of possible connection of proteome changes under the influence of space flight (SF) factors with the processes of angiogenesis. The analysis was performed with a targeted panel of 125 labeled 13C/15N peptides using chromatography-mass spectrometry with multiple reaction monitoring (LC/MRM-MS). A total of 125 different proteins were quantitatively characterized. Among them, a group of 61 proteins involved in the processes of angiogenesis and its regulation was found. Bioinformatic methods showed that the isolated angiogenesis proteins were participants of 13 biological processes, including lymphangiogenesis. Significant changes of protein level in blood after landing, in relation to preflight samples, were observed in 7 cases. The results have shown that the elimination of gravity (microgravity), space radiation and overloads of the final stage of flight have a combined effect on the processes of angiogenesis, which is manifested by changes in proteomic composition on 1 day after the completion of long-term CP.

Rule-Based Machine Learning Analysis of the Blood Proteome Identifies MCL Patients with High Risk of Early Disease Progression

Rule-Based Machine Learning Analysis of the Blood Proteome Identifies MCL Patients with High Risk of Early Disease Progression

Plasma proteomic and polygenic profiling improve risk stratification and personalized screening for colorectal cancer

This study aims to identify colorectal cancer (CRC)-related proteomic profiles and develop a prediction model for CRC onset by integrating proteomic profiles with genetic and non-genetic factors (QCancer-15) to improve the risk stratification and estimate of personalized initial screening age. Here, using a two-stage strategy, we prioritize 15 protein biomarkers as predictors to construct a protein risk score (ProS). The risk prediction model integrating proteomic profiles with polygenic risk score (PRS) and QCancer-15 risk score (QCancer-S) shows improved performance (C-statistic: 0.79 vs. 0.71, P = 4.94E–03 in training cohort; 0.75 vs 0.69, P = 5.49E–04 in validation cohort) and net benefit than QCancer-S alone. The combined model markedly stratifies the risk of CRC onset. Participants with high ProS, PRS, or combined risk score are proposed to start screening at age 46, 41, or before 40 years old. In this work, the integration of blood proteomics with PRS and QCancer-15 demonstrates improved performance for risk stratification and clinical implication for the derivation of risk-adapted starting ages of CRC screening, which may contribute to the decision-making process for CRC screening.

Sex-Stratified Genome-Wide Association Study in the Spanish Population Identifies a Novel Locus for Lacunar Stroke.

Ischemic stroke (IS) represents a significant health burden globally, necessitating a better understanding of its genetic underpinnings to improve prevention and treatment strategies. Despite advances in IS genetics, studies focusing on the Spanish population and sex-stratified analyses are lacking. A case-control genome-wide association study was conducted with 9081 individuals (3493 IS cases and 5588 healthy controls). IS subtypes using Trial of ORG 10172 in Acute Stroke Treatment criteria were explored in a sex-stratified approach. Replication efforts involved the MEGASTROKE, GIGASTROKE, and the UK Biobank international cohorts. Post-genome-wide association study analysis included: in silico proteomic analysis, gene-based analysis, quantitative trait loci annotation, transcriptome-wide association analysis, and bioinformatic analysis using chromatin accessibility data. Identified as associated with IS and its subtypes were 4 significant and independent loci. Replication confirmed 5p15.2 as a new locus associated with small-vessel occlusion stroke, with rs59970332-T as the lead variant (beta [SE], 0.13 [0.02]; P=4.34×10-8). Functional analyses revealed CTNND2 given proximity and its implication in pathways involved in vascular integrity and angiogenesis. Integration of Hi-C data identified additional potentially modulated genes, and in silico proteomic analysis suggested a distinctive blood proteome profile associated with the lead variant. Gene-set enrichment analyses highlighted pathways consistent with small-vessel disease pathogenesis. Gene-based associations with known stroke-related genes such as F2 and FGG were also observed, reinforcing the relevance of our findings. We found CTNND2 as a potential key molecule in small-vessel occlusion stroke risk, and predominantly in males. This study sheds light on the genetic architecture of IS in the Spanish population, providing novel insights into sex-specific associations and potential molecular mechanisms. Further research, including replication in larger cohorts, is essential for a comprehensive understanding of these findings and for their translation to clinical practice.

Bailixiang tea, an herbal medicine formula, co-suppresses TLR2/MAPK8 and TLR2/NF-κB signaling pathways to protect against LPS-triggered cytokine storm in mice

Ethnopharmacological relevanceTraditional Chinese medicine (TCM) has shown notable effectiveness and safety in managing illnesses linked to cytokine storm(CS). Bailixiang tea (BLX), an herbal medicine formula, which is a compound Chinese medicine composed of Thymus mongolicus (Ronniger) Ronniger (Bailixiang), Glycyrrhiza uralensis Fisch. (Gancao), Citrus reticulata Blanco (Chenpi), Cyperus rotundus L. (Xiangfu), and Perilla frutescens (L.) Britton (Zisu). The objective of this study was to explore the capacity of BLX in improving LPS-induced CS. Aim of the studyThis study aimed to validate the mitigating effect of BLX on CS and to further investigate its mechanism. Materials and methodsmice were orally administered BLX for 24 h after being treated with 5 mg/kg lipopolysaccharide (LPS). Histopathological observations further confirmed the significant protective effect of BLX treatment against LPS-induced lung and spleen damage. Additionally, we aimed to explore the molecular mechanism underlying its effects through blood proteomics and transcriptomics analyses. Real-Time Quantitative PCR (RT-qPCR) was utilized to detect the levels of Toll-like receptor 2 (TLR2), Matrix metalloproteinase 8 (MMP8), Matrix metalloproteinase 9 (MMP9), Integrin beta 2 (ITGB2), Mitogen-activated protein kinase 8 (MAPK8), Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, epsilon (NFKBIE), Nuclear factor of kappa light polypeptide gene enhancer in B-cells 2 (NFKB2), and Glyceraldehyde-3-Phosphate Dehydrogenase (GAPDH)expressions in the lung tissue. ResultsThe results demonstrated that BLX effectively down-regulated the overproduction of interleukin 6 (IL-6) and tumor necrosis factor-α (TNF-α) in both the serum and lung and spleen tissues. Furthermore, BLX effectively mitigated the overproduction of monocyte chemoattractant protein-1 (MCP-1) in the serum. Through comprehensive multi-omics analysis, it was revealed that BLX specifically targeted and regulated TLR2/MAPK8 and TLR2/NF-κB signaling pathways, which play a crucial role in the production of key cytokines. ConclusionsThe findings of this study demonstrate that Bailixiang tea possesses the ability to alleviate lung tissue damage and inhibit the development of LPS-induced cytokine storm in mice. These effects are attributed to the tea's ability to suppress the TLR2/MAPK8 and TLR2/NF-κB pathways. Consequently, this research highlights the potential application of Bailixiang tea as a treatment option for cytokine storm.

Identification of novel pQTL-SNPs associated with lung adenocarcinoma risk: A multi-stage study.

To explore the association between protein quantitative trait loci (pQTL-SNPs) and the risk of LUAD. "Blood +" high depth blood proteomics analysis was performed on plasma from female LUAD patients and female healthy controls, and combined with proteomics data from tumors and adjacent non-tumor tissues of female LUAD patients to screen proteins uniformly expressed in plasma and tissues. pQTL-SNPs were then screened through multiple databases and subjected to multilevel screening. The associations between selected pQTL-SNPs and LUAD risk were evaluated by Female Lung Cancer Consortium in Asia GWAS (FLCCA GWAS). Enzyme linked immunosorbent assay (ELISA) is used to determine the levels of candidate protein. A total of 7 pQTL-SNPs were significantly associated with altered LUAD risk (p < 0.05). Meanwhile, the expression of their corresponding target proteins were all decreased in both plasma and tumor tissues of LUAD cases, which may play a role of tumor suppressor proteins. After mutation of 3 pQTL-SNPs (rs7683000, rs73224660, and rs2776937), the expression of corresponding target proteins BST1 and NRP1 decreased, and as potential tumor suppressor proteins, which may promote tumorigenesis and further increasing the risk of developing LUAD (OR >1, p < 0.05); while after mutation the other pQTL-SNP rs62069916, the corresponding target protein APOH expression was increased, while as a potential tumor suppressor protein, which may inhibit tumorigenesis and further reduced the risk of developing LUAD (OR <1, p < 0.05). In addition, the expression of NRP1 and APOH were significant decreased in LUAD cell lines and validated in plasma of LUAD patients. A total of 4 pQTL-SNPs (rs7683000, rs73224660, rs2776937, and rs62069916) may associate with altered LUAD risk by regulating the expression of target proteins (BST1, NRP1, and APOH) after mutation.

Genetics of posttraumatic stress disorder and cardiovascular conditions using Life's Essential 8, Electronic Health Records, and Heart Imaging.

Patients with post-traumatic stress disorder (PTSD) experience higher risk of adverse cardiovascular (CV) outcomes. This study explores shared loci, and genes between PTSD and CV conditions from three major domains: CV diagnoses from electronic health records (CV-EHR), cardiac and aortic imaging, and CV health behaviors defined in Life's Essential 8 (LE8). We used genome-wide association study (GWAS) of PTSD (N=1,222,882), 246 CV diagnoses based on EHR data from Million Veteran Program (MVP; N=458,061), UK Biobank (UKBB; N=420,531), 82 cardiac and aortic imaging traits (N=26,893), and GWAS of traits defined in the LE8 (N = 282,271 ~ 1,320,016). Shared loci between PTSD and CV conditions were identified using local genetic correlations (rg), and colocalization (shared causal variants). Overlapping genes between PTSD and CV conditions were identified from genetically regulated proteome expression in brain and blood tissues, and subsequently tested to identify functional pathways and gene-drug targets. Epidemiological replication of EHR-CV diagnoses was performed in AllofUS cohort (AoU; N=249,906). Among the 76 PTSD-susceptibility risk loci, 33 loci exhibited local rg with 45 CV-EHR traits (|rg|≥0.4), four loci with eight heart imaging traits(|rg|≥0.5), and 44 loci with LE8 factors (|rg|≥0.36) in MVP. Among significantly correlated loci, we found shared causal variants (colocalization probability > 80%) between PTSD and 17 CV-EHR (in MVP) at 11 loci in MVP, that also replicated in UKBB and/or other cohorts. Of the 17 traits, the observational analysis in the AoU showed PTSD was associated with 13 CV-EHR traits after accounting for socioeconomic factors and depression diagnosis. PTSD colocalized with eight heart imaging traits on 2 loci and with LE8 factors on 31 loci. Leveraging blood and brain proteome expression, we found 33 and 122 genes, respectively, shared between PTSD and CVD. Blood proteome genes were related to neuronal and immune processes, while the brain proteome genes converged on metabolic and calcium-modulating pathways (FDR p <0.05). Drug repurposing analysis highlighted DRD2, NOS1, GFAP, and POR as common targets of psychiatric and CV drugs. PTSD-CV comorbidities exhibit shared risk loci, and genes involved in tissue-specific regulatory mechanisms.

Early blood immune molecular alterations in cynomolgus monkeys with a PSEN1 mutation causing familial Alzheimer's disease.

More robust non-human primate models of Alzheimer's disease (AD) will provide new opportunities to better understand the pathogenesis and progression of AD. We designed a CRISPR/Cas9 system to achieve precise genomic deletion of exon 9 in cynomolgus monkeys using two guide RNAs targeting the 3' and 5' intron sequences of PSEN1 exon 9. We performed biochemical, transcriptome, proteome, and biomarker analyses to characterize the cellular and molecular dysregulations of this non-human primate model. We observed early changes of AD-related pathological proteins (cerebrospinal fluid Aβ42 and phosphorylated tau) in PSEN1 mutant (ie, PSEN1-ΔE9) monkeys. Blood transcriptome and proteome profiling revealed early changes in inflammatory and immune molecules in juvenile PSEN1-ΔE9 cynomolgus monkeys. PSEN1 mutant cynomolgus monkeys recapitulate AD-related pathological protein changes, and reveal early alterations in blood immune signaling. Thus, this model might mimic AD-associated pathogenesis and has potential utility for developing early diagnostic and therapeutic interventions. A dual-guide CRISPR/Cas9 system successfully mimics AD PSEN1-ΔE9 mutation by genomic excision of exon 9. PSEN1 mutant cynomolgus monkey-derived fibroblasts exhibit disrupted PSEN1 endoproteolysis and increased Aβ secretion. Blood transcriptome and proteome profiling implicate early inflammatory and immune molecular dysregulation in juvenile PSEN1 mutant cynomolgus monkeys. Cerebrospinal fluid from juvenile PSEN1 mutant monkeys recapitulates early changes of AD-related pathological proteins (increased Aβ42 and phosphorylated tau).

Fluoride-related changes in the fetal cord blood proteome; a pilot study

BackgroundFluoride exposure during pregnancy has been associated with various effects on offspring, including changes in behavior and IQ. To provide clues to possible mechanisms by which fluoride may affect human fetal development, we completed proteomic analyses of cord blood serum collected from second-trimester pregnant women residing in northern California, USA.ObjectiveTo identify changes in cord blood proteins associated with maternal serum fluoride concentration in pregnant women.MethodsThe proteomes of 19 archived second-trimester cord blood samples from women living in northern California, USA, and having varied serum fluoride concentrations, were analyzed by quantitative mass spectrometry. The 327 proteins that were quantified were characterized by their abundance relative to maternal serum fluoride concentration, and subjected to pathway analyses using PANTHER and Ingenuity Pathway Analysis processes.ResultsPathway analyses showed significant increases in process related to reactive oxygen species and cellular oxidant detoxification, associated with increasing maternal serum fluoride concentrations. Pathways showing significant decreases included complement cascade, suggesting alterations in alterations in process associated with inflammation.ConclusionMaternal fluoride exposure, as measured by serum fluoride concentrations in a small, but representative sample of women from northern California, USA, showed significant changes in the second trimester cord blood proteome relative to maternal serum fluoride concentration.

Integrating plasma proteomics with genome-wide association data to identify novel drug targets for inflammatory bowel disease

Inflammatory bowel disease (IBD) is a chronic disease that includes Crohn’s disease (CD) and ulcerative colitis (UC). Although genome-wide association studies (GWASs) have identified many relevant genetic risk loci, the impact of these loci on protein abundance and their potential utility as clinical therapeutic targets remain uncertain. Therefore, this study aimed to investigate the pathogenesis of IBD and identify effective therapeutic targets through a comprehensive and integrated analysis. We systematically integrated GWAS data related to IBD, UC and CD (N = 25,305) by the study of de Lange KM with the human blood proteome (N = 7213) by the Atherosclerosis Risk in Communities (ARIC) study. Proteome-wide association study (PWAS), mendelian randomisation (MR) and Bayesian colocalisation analysis were used to identify proteins contributing to the risk of IBD. Integrative analysis revealed that genetic variations in IBD, UC and CD affected the abundance of five (ERAP2, RIPK2, TALDO1, CADM2 and RHOC), three (VSIR, HGFAC and CADM2) and two (MST1 and FLRT3) cis-regulated plasma proteins, respectively (P < 0.05). Among the proteins identified via Bayesian colocalisation analysis, CADM2 was found to be an important common protein between IBD and UC. A drug and five druggable target genes were identified from DGIdb after Bayesian colocalisation analysis. Our study's findings from genetic and proteomic approaches have identified compelling proteins that may serve as important leads for future functional studies and potential drug targets for IBD (UC and CD).

Causal inference of the effect of blood proteome on the risk of head and neck cancer: two-sample Mendelian randomization

Early diagnosis of head and neck cancer can improve therapeutic outcomes but remains a challenge. The blood proteome can comprise a key source of biomarkers that enable the early diagnosis and precision medicine in head and neck cancer, but blood protein biomarkers of head and neck cancer are not well delineated. Here we applied two-sample Mendelian randomization to a GWAS dataset of 1478 blood proteins and large dataset of head and neck cancer cases and controls to identify blood proteome traits associated with head and neck cancer. Multiple two-sample Mendelian randomization (MR) methods were used to assess causal effects of the exposures, including: Inverse-variance weighted (IVW), Mendelian randomization-Egger method, Weight Median method, simple mode, weight mode. Sensitivity analysis was performed by using heterogeneity test, pleiotropy test and one-by-one exclusion test. Multivariable MR analyses were performed to assess the effects of obesity, diabetes mellitus, and smoking. A significant causal association between A Disintegrin and metalloproteinase domain-containing protein 23 (ADAM23) and head and neck cancer was noted. The sensitivity analysis indicated no significant bias. Multivariate analysis showed that the effect for ADAM23 remained significant after adjusting for the indirect effects of obesity, diabetes mellitus and smoking. In sum, this study showed a significant causal role of genetically dysregulated ADAM23 protein with head and neck cancer risk. The specific mechanisms underlying the role of ADAM23 in mediating head and neck cancer risk, and its role as a potential therapeutic target and biomarker, need further investigation.

Concepts and Approaches to Reduce or Avoid Protein Corona Formation on Nanoparticles: Challenges and Opportunities.

This review describes the formation of a protein corona (or its absence) on different classes of nanoparticles, its basic principles, and its consequences for nanomedicine. For this purpose, it describes general concepts to control (guide/minimize) the interaction between artificial nanoparticles and plasma proteins to reduce protein corona formation. Thereafter, methods for the qualitative or quantitative determination of protein corona formation are presented, as well as the properties of nanoparticle surfaces, which are relevant for protein corona prevention (or formation). Thereby especially the role of grafting density of hydrophilic polymers on the surface of the nanoparticle is discussed to prevent the formation of a protein corona. In this context also the potential of detergents (surfactants) for a temporary modification as well as grafting-to and grafting-from approaches for a permanent modification of the surface are discussed. The review concludes by highlighting several promising avenues. This includes (i) the use of nanoparticles without protein corona for active targeting, (ii) the use of synthetic nanoparticles without protein corona formation to address the immune system, (iii) the recollection of nanoparticles with a defined protein corona after in vivo application to sample the blood proteome and (iv) further concepts to reduce protein corona formation.

Analysis of the aging-related biomarker in a nonhuman primate model using multilayer omics

BackgroundAging is a prominent risk factor for diverse diseases; therefore, an in-depth understanding of its physiological mechanisms is required. Nonhuman primates, which share the closest genetic relationship with humans, serve as an ideal model for exploring the complex aging process. However, the potential of the nonhuman primate animal model in the screening of human aging markers is still not fully exploited. Multiomics analysis of nonhuman primate peripheral blood offers a promising approach to evaluate new therapies and biomarkers. This study explores aging-related biomarker through multilayer omics, including transcriptomics (mRNA, lncRNA, and circRNA) and proteomics (serum and serum-derived exosomes) in rhesus monkeys (Macaca mulatta).ResultsOur findings reveal that, unlike mRNAs and circRNAs, highly expressed lncRNAs are abundant during the key aging period and are associated with cancer pathways. Comparative analysis highlighted exosomal proteins contain more types of proteins than serum proteins, indicating that serum-derived exosomes primarily regulate aging through metabolic pathways. Finally, eight candidate aging biomarkers were identified, which may serve as blood-based indicators for detecting age-related brain changes.ConclusionsOur results provide a comprehensive understanding of nonhuman primate blood transcriptomes and proteomes, offering novel insights into the aging mechanisms for preventing or treating age-related diseases.

Evolution of the Umbilical Cord Blood Proteome Across Gestational Development.

Neonatal health is dependent on early risk stratification, diagnosis, and timely management of potentially devastating conditions, particularly in the setting of prematurity. Many of these conditions are poorly predicted in real-time by clinical data and current diagnostics. Umbilical cord blood may represent a novel source of molecular signatures that provides a window into the state of the fetus at birth. In this study, we comprehensively characterized the cord blood proteome of infants born between 24 to 42 weeks using untargeted mass spectrometry and functional enrichment analysis. We determined that the cord blood proteome at birth varies significantly across gestational development. Proteins that function in structural development and growth (e.g., extracellular matrix organization, lipid particle remodeling, and blood vessel development) are more abundant earlier in gestation. In later gestations, proteins with increased abundance are in immune response and inflammatory pathways, including complements and calcium-binding proteins. Furthermore, these data contribute to the knowledge of the physiologic state of neonates across gestational age, which is crucial to understand as we strive to best support postnatal development in preterm infants, determine mechanisms of pathology causing adverse health outcomes, and develop cord blood biomarkers to help tailor our diagnosis and therapeutics for critical neonatal conditions.

Mendelian randomization reveals interactions of the blood proteome and immunome in mitral valve prolapse

BackgroundMitral valve prolapse (MVP) is a common heart disorder characterized by an excessive production of proteoglycans and extracellular matrix in mitral valve leaflets. Large-scale genome-wide association study (GWAS) underlined that MVP is heritable. The molecular underpinnings of the disease remain largely unknown.MethodsWe interrogated cross-modality data totaling more than 500,000 subjects including GWAS, 4809 molecules of the blood proteome, and genome-wide expression of mitral valves to identify candidate drivers of MVP. Data were investigated through Mendelian randomization, network analysis, ligand-receptor inference and digital cell quantification.ResultsIn this study, Mendelian randomization identify that 33 blood proteins, enriched in networks for immunity, are associated with the risk of MVP. MVP- associated blood proteins are enriched in ligands for which their cognate receptors are differentially expressed in mitral valve leaflets during MVP and enriched in cardiac endothelial cells and macrophages. MVP-associated blood proteins are involved in the renewal-polarization of macrophages and regulation of adaptive immune response. Cytokine activity profiling and digital cell quantification show in MVP a shift toward cytokine signature promoting M2 macrophage polarization. Assessment of druggability identify CSF1R, CX3CR1, CCR6, IL33, MMP8, ENPEP and angiotensin receptors as actionable targets in MVP.ConclusionsHence, integrative analysis identifies networks of candidate molecules and cells involved in immune control and remodeling of the extracellular matrix, which drive the risk of MVP.

Blood Proteomics for Biomarkers of Kidney Pathology.

Blood Proteomics for Biomarkers of Kidney Pathology.

Association between Human Blood Proteome and the Risk of Myocardial Infarction.

The objective of this study is to estimate the causal relationship between plasma proteins and myocardial infarction (MI) through Mendelian randomization (MR), predict potential target-mediated side effects associated with protein interventions, and ensure a comprehensive assessment of clinical safety. From 3 proteome genome-wide association studies (GWASs) involving 9775 European participants, 331 unique blood proteins were screened and chosed. The summary data related to MI were derived from a GWAS meta-analysis, incorporating approximately 61,000 cases and 577,000 controls. The assessment of associations between blood proteins and MI was conducted through MR analyses. A phenome-wide MR (Phe-MR) analysis was subsequently employed to determine the potential on-target side effects of protein interventions. Causal mediators for MI were identified, encompassing cardiotrophin-1 (CT-1) (odds ratio [OR] per SD increase: 1.16; 95% confidence interval [CI]: 1.13-1.18; p = 1.29 ), Selenoprotein S (SELENOS) (OR: 1.16; 95% CI: 1.13-1.20; p = 4.73 ), killer cell immunoglobulin-like receptor 2DS2 (KIR2DS2) (OR: 0.93; 95% CI: 0.90-0.96; p = 1.08 ), vacuolar protein sorting-associated protein 29 (VPS29) (OR: 0.92; 95% CI: 0.90-0.94; p = 8.05 ), and histo-blood group ABO system transferase (NAGAT) (OR: 1.05; 95% CI: 1.03-1.07; p = 1.41 ). In the Phe-MR analysis, memory loss risk was mediated by CT-1, VPS29 exhibited favorable effects on the risk of 5 diseases, and KIR2DS2 showed no predicted detrimental side effects. Elevated genetic predictions of KIR2DS2 and VPS29 appear to be linked to a reduced risk of MI, whereas an increased risk is associated with CT-1, SELENOS, and NAGAT. The characterization of side effect profiles aids in the prioritization of drug targets. Notably, KIR2DS2 emerges as a potentially promising target for preventing and treating MI, devoid of predicted detrimental side effects.

Swimming training induced sex-specific differences in cardiac hypertrophy and blood levels of the renin-angiotensin system

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): FNS Background Exercise promotes physiological cardiac hypertrophy that is adaptive and reversible and influenced by age, genetics, sex, exercise intensity and type. The renin-angiotensin system (RAS) plays a crucial role in cardiovascular remodelling at both systemic and tissue levels. However, a significant gap exists in our understanding of sex differences in response to physical activity. Our objective is to characterise swimming-induced cardiac remodelling in female and male rats and RAS at both the cardiac tissue and systemic levels. Methods Male and female Lewis rats swam in a container filled with tap water at 32° C for 1 hour per day for 4 weeks or up to 8 weeks, respectively. Sedentary animals served as control. Echocardiography and immunostaining of RAS components, including angiotensin-converting enzyme 2 (ACE2) on cardiac sections' staining were performed. Cardiomyocyte (CM) size was measured. Cardiac RAS receptors were quantified with RT-PCR. Blood levels of Angiotensinogen, Angiotensins (Ang) were measured with Mass Spectrometry. Renin activity was calculated by the ratio Ang1/Angiotensinogen. Results After 4 weeks, an increase in ventricle diameter was shown in exercised male rats compared to the control. The cardiac hypertrophy was confirmed by increased heart/body weight (H/BW= 3x10-3±1.3x10-4vs2.5x10-3±3.10-5mg/g p&amp;lt;0.0001) and CM size (288±23 vs 198±1μm2 p=0.0028) associated with increased intra-CM immunostained ACE2 (AC2 area fraction: 38.5%±2.8%vs20%±5 p=0.0001). In females, ventricle diameter was unchanged, but wall thickness increased. Exercise was pursued for up to 8 weeks. At 6 and 8 weeks, echocardiography measurements remained similar as at 4 weeks. Hypertrophy was then confirmed by increased H/BW (3.2x10-3±1.7x10-4vs control:2.7x103 ±1.8x104mg/g p&amp;lt;0.0001) and CM size (335±47vs233±25μm2 p= 0.0019). An increased intra-CM-ACE2 was characterised by immunostaining (55.8%±6vs32.5%±6.6% p&amp;lt;0.0001) and confirmed by the increased ACE2 gene expression in cardiac tissue. At 4 weeks, the blood levels of RAS components were similar in trained and control males as well as renin activity. On contrary, exercised female rats showed increased blood levels of Angiotensinogen (4.2x10-4±7x10-5 vs 3x10-4±7x10-5au p=0.0288), Ang1 (2±1.9vs0.0±0.9au p=0.0151), Ang2 (1.2±1.5vs0.0±0.9au p=0.0204), and Ang1-7 (3.4±2.9vs 0.0±0.9au p=0.0058). The blood levels of these RAS compounds returned to the control levels after 6 and 8 weeks. In addition, a sex-distinct blood proteome was identified. Conclusion Our results showed a sex-distinct RAS regulation post-exercise and suggested a sex difference in the timing of adaptive responses at the system and cardiac tissue levels.