Published: Jan. 1, 2024
Language: Английский
Immunity Inflammation and Disease, Journal Year: 2025, Volume and Issue: 13(4)
Published: April 1, 2025
ABSTRACT Objectives This longitudinal study aimed to assess the impact of COVID‐19 vaccination on cytokine profile. Methods A total 84 Saudi subjects (57.1% females) with mean age 27.2 ± 12.3 participated in this study. Anthropometric data and fasting blood samples were obtained at baseline after final vaccination, an average follow‐up duration 14.1 3.6 months for adolescents 13.3 3.0 adults, calculated from first dose vaccination. Assessment profiles was done using commercially available assays. Results After follow‐up, a significant increase weight body mass index observed overall ( p = 0.003 0.002, respectively). Postvaccination, increases several cytokines, including basic fibroblast growth factor 2 < 0.001), interferon gamma (IFNγ) 0.005), interleukin‐1 beta (IL1β) IL4 IL6 0.003), IL7 IL17E monocyte chemoattractant protein‐1 (MCP1) 0.03), MCP3 tumor necrosis alpha (TNFα) VEGFA 0.001). reduction only macrophage colony‐stimulating When adjusted age, epidermal (EGF), IL4, IL6, MCP3, TNFα, vascular endothelial (VEGFA) remained statistically significant. Gender‐based analysis revealed that men experienced greater 0.008), 0.04), TNFα 0.015) compared women. Age‐based showed older participants had more pronounced EGF 0.011), 0.029), MCP1 0.042), 0.017), while younger 0.025). Conclusions The findings indicated resulted levels, which signifies persistence humoral immune response messenger RNA (mRNA) vaccines. effect may be attributed persistent production spike protein highly inflammatory nature mRNA–lipid nanoparticle. Additionally, results suggested differences levels based gender age. Notably, profile remains favorably altered young adults who received mRNA vaccinations, even 1 year.
Language: Английский
Citations
0
Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)
Published: April 10, 2025
Systems biology is a holistic approach to biological sciences that combines experimental and computational strategies, aimed at integrating information from different scales of processes unravel pathophysiological mechanisms behaviours. In this scenario, high-throughput technologies have been playing major role in providing huge amounts omics data, whose integration would offer unprecedented possibilities gaining insights on diseases identifying potential biomarkers. the present review, we focus strategies applied literature integrate genomics, transcriptomics, proteomics, metabolomics year range 2018-2024. Integration approaches were divided into three main categories: statistical-based approaches, multivariate methods, machine learning/artificial intelligence techniques. Among them, statistical (mainly based correlation) ones with slightly higher prevalence, followed by learning Integrating multiple layers has shown great uncovering molecular mechanisms, putative biomarkers, aid classification, most time resulting better performances when compared single analyses. However, significant challenges remain. The nature platforms introduces issues such as variable data quality, missing values, collinearity, dimensionality. These further increase combining datasets, complexity heterogeneity integration. We report found cope these challenges, but some open still remain should be addressed disclose full
Language: Английский
Citations
0
Expert Review of Proteomics, Journal Year: 2025, Volume and Issue: unknown
Published: April 10, 2025
A holistic view on biological systems is today a reality with the application of multi-omic technologies. These technologies allow profiling genome, epigenome, transcriptome, proteome, metabolome as well newly emerging 'omes.' While multiple layers data accumulate, their integration and reconciliation in single system map cumbersome exercise that faces many challenges. Application to human health disease requires large sample size, robust methodologies high-quality standards. We review different methods used integrate multi-omics, recent ones including artificial intelligence. With proteomics an anchor technology, we then present selected applications its combination other omics' clinical research, mainly covering literature from last five years Scopus and/or PubMed databases. Multi-omics powerful comprehensively type molecular link them phenotype. Yet, are very diverse still strategies properly these modalities needed.
Language: Английский
Citations
0
Annals of Clinical Microbiology and Antimicrobials, Journal Year: 2025, Volume and Issue: 24(1)
Published: April 20, 2025
Abstract Background Long COVID is a complex, heterogeneous syndrome affecting over four hundred million people globally. There are few recommendations, and no formal training exists for medical professionals to assist with clinical evaluation management of patients COVID. More research into the pathology, cellular, molecular mechanisms COVID, treatments needed. The goal this work disseminate essential information about recommendations definition, diagnosis, treatment, social issues physicians, researchers, policy makers address escalating global health crisis. Methods A 3-round modified Delphi consensus methodology was distributed internationally 179 healthcare professionals, persons lived experience in 28 countries. Statements were combined specific areas: research, society. Results survey resulted 187 comprehensive statements reaching strongest areas being diagnosis assessment, general research. We establish conditions different subgroups within umbrella. Clear reached that impacts COVID-19 infection on children should be priority, additionally need determine effects societies economies. it affects nervous system other organs not likely observed initial symptoms. note, biomarkers critically needed these issues. Conclusions This forms guidance spectrum as disease reinforces translational large-scale treatment trials protocols.
Language: Английский
Citations
0
International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(9), P. 4202 - 4202
Published: April 28, 2025
The COVID-19 pandemic, driven by SARS-CoV-2, has led to a global health crisis, highlighting the virus’s unique molecular mechanisms that distinguish it from other respiratory pathogens. It is known Hypoxia-Inducible Factor 1α (HIF-1α) activates complex network of intracellular signaling pathways regulating cellular energy metabolism, angiogenesis, and cell survival, contributing wide range clinical manifestations COVID-19, including Post-Acute Syndrome (PACS). Emerging evidence suggests dysregulation HIF-1α key driver systemic inflammation, silent hypoxia, pathological tissue remodeling in both acute post-acute phases disease. This scoping review was conducted following PRISMA-ScR guidelines registered INPLASY. involved literature search Scopus PubMed, supplemented manual reference screening, with study selection facilitated Rayyan software. Our analysis clarifies dual role HIF-1α, which may either worsen inflammatory responses viral persistence or support adaptive reduce damage. potential for targeting therapeutically complex, requiring further investigation clarify its precise translational applications. deepens understanding SARS-CoV-2-induced dysfunction offering insights improving management strategies addressing long-term sequelae.
Language: Английский
Citations
0
International Immunopharmacology, Journal Year: 2024, Volume and Issue: 131, P. 111829 - 111829
Published: March 14, 2024
Language: Английский
Citations
3
Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 99, P. 102400 - 102400
Published: June 28, 2024
Language: Английский
Citations
3
Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)
Published: July 4, 2024
Abstract The persistence of coronavirus disease 2019 (COVID-19)-related hospitalization severely threatens medical systems worldwide and has increased the need for reliable detection acute status prediction mortality. We applied a biology approach to discover acute-stage biomarkers that could predict A total 247 plasma samples were collected from 103 COVID-19 (52 surviving patients 51 with mortality), other infectious diseases (IDCs) 41 healthy controls (HCs). Paired obtained survival within 1 day after hospital admission 1–3 days before discharge. There clear differences between controls, as well substantial recovery phases COVID-19. Samples in phase showed suppressed immunity decreased steroid hormone biosynthesis, elevated inflammation proteasome activation. These findings validated by enzyme-linked immunosorbent assays metabolomic analyses larger cohort. Moreover, excessive activity was prominent signature among mortality, indicating it may be key cause poor prognosis. Based on these features, we constructed machine learning panel, including four proteins [C-reactive protein (CRP), subunit alpha type (PSMA)1, PSMA7, beta (PSMB)1)] one metabolite (urocortisone), mortality (area under receiver operating characteristic curve: 0.976) first hospitalization. Our systematic analysis provides novel method early hospitalized patients.
Language: Английский
Citations
3
PLoS ONE, Journal Year: 2024, Volume and Issue: 19(6), P. e0304522 - e0304522
Published: June 5, 2024
Background A subset of individuals (10–20%) experience post-COVID condition (PCC) subsequent to initial SARS-CoV-2 infection, which lacks effective treatment. PCC carries a substantial global burden associated with negative economic and health impacts. This study aims evaluate the association between plasma taurine levels self-reported symptoms adverse clinical outcomes in patients PCC. Methods findings We analyzed proteome metabolome 117 during their acute COVID-19 hospitalization at convalescence phase six-month post infection. Findings were compared 28 age sex-matched healthy controls. Plasma negatively correlated markers inflammation, tryptophan metabolism, gut dysbiosis. Stratifying based on trajectories follow-up revealed significant events. Increase transition reduction events independent comorbidities severity. In multivariate analysis, increased level was marked protection from hazard ratio 0.13 (95% CI: 0.05–0.35; p<0.001). Conclusions Taurine emerges as promising predictive biomarker potential therapeutic target supplementation has already demonstrated benefits various diseases warrants exploration large-scale trials for alleviating
Language: Английский
Citations
2
Communications Medicine, Journal Year: 2024, Volume and Issue: 4(1)
Published: Nov. 26, 2024
Diagnosing complex illnesses like Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is complicated due to the diverse symptomology and presence of comorbid conditions. ME/CFS patients often present with multiple health issues, therefore, incorporating comorbidities into research can provide a more accurate understanding condition's symptomatology severity, better reflect real-life patient experiences. We performed association studies machine learning on 1194 individuals blood plasma nuclear magnetic resonance (NMR) metabolomics profiles, seven exclusive cohorts: hypertension (n = 13,559), depression 2522), asthma 6406), irritable bowel syndrome 859), hay fever 3025), hypothyroidism 1226), migraine 1551) non-diseased control group 53,009). lipoprotein perspective pathophysiology, highlighting gender-specific differences identifying overlapping associations conditions, specifically surface lipids, ketone bodies from 168 significant individual biomarker associations. Additionally, we searched for, trained, optimised algorithm, resulting in predictive model using 19 baseline characteristics nine NMR biomarkers which could identify an AUC 0.83 recall 0.70. A multi-variable score was subsequently derived same 28 features, exhibited ~2.5 times greater than top biomarker. This study provides end-to-end analytical workflow that explores potential clinical utility scores may have for other difficult diagnose illness severe fatigue without known cause. Further symptoms overlap medical problems making diagnosis difficult. wanted find way easily people this condition, so used data UK Biobank compare who had problems. developed mathematical calculation, basic factors markers, classify non-ME/CFS correctly 83% time, recognise condition 70% time. lead serve as example diseases lacking definite laboratory testing. Huang et al. train optimize predict cases Biobank. works heterogenous condition.
Language: Английский
Citations
2