Uncovering host response in adults with severe community-acquired pneumonia: a proteomics and metabolomics perspective study

World Journal of Emergency Medicine, Год журнала: 2025, Номер 16(3), С. 248 - 248

Опубликована: Янв. 1, 2025

Community-acquired pneumonia (CAP) represents a significant public health concern due to its widespread prevalence and substantial healthcare costs. This study was utilize an integrated proteomic metabolomic approach explore the mechanisms involved in severe CAP. We proteomics metabolomics data identify potential biomarkers for early diagnosis of Plasma samples were collected from 46 CAP patients (including 27 with 19 non-severe CAP) healthy controls upon admission. A comprehensive analysis combined then performed elucidate key pathological features associated severity. The metabolic signature markedly different between CAPs controls. Pathway changes revealed complement coagulation cascades, ribosome, tumor necrosis factor (TNF) signaling pathway lipid process as contributors Furthermore, alterations metabolism, including sphingolipids phosphatidylcholines (PCs), dysregulation cadherin binding observed, potentially contributing development Specifically, within group, sphingosine-1-phosphate (S1P) apolipoproteins (APOC1 APOA2) levels downregulated, while S100P level significantly upregulated. may complexity severity inform improved diagnostic tools.

Язык: Английский

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Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers

Journal of Proteome Research, Год журнала: 2025, Номер unknown

Опубликована: Май 19, 2025

In the present study, we investigated biochemical, hematological, lipidomic, and metabolomic alterations associated with different SAR-CoV-2 variants of concern (VOCs), such as WT, α, β, γ, δ, well their impact on COVID-19 severity. Across first second waves in India, a machine learning approach was used 3134 patients, nine critical biochemical hematological parameters, namely, C-reactive protein (CRP), D-dimer, ferritin, neutrophil, WBC count, lymphocyte, urea, creatine, lactate dehydrogenase (LDH), were identified. Furthermore, through metabolic lipidomic profiles lung colon cells transfected spike VOCs, notable dysregulation exhibited by delta variant correlated characteristic pathways catecholamine thyroid hormone synthesis. A corroborating meta-analysis also highlighted involvement urea amino acid metabolism pathways. Overall, our study provides crucial insights into disruptions caused contributing to better understanding pathogenesis development targeted interventions.

Язык: Английский

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Distinct proteomic signatures in Ethiopians predict acute and long-term sequelae of COVID-19

Frontiers in Immunology, Год журнала: 2025, Номер 16

Опубликована: Май 22, 2025

Little is known about the acute and long-term sequelae of COVID-19 its pathophysiology in African patients, who are to have a distinct immunological profile compared Caucasian populations. Here, we established protein signatures define severe outcomes determined whether unique during first week illness predict risk post-acute (Long COVID) low-income country (LIC) setting. Using Olink inflammatory panel, measured abundance 92 proteins plasma patients (n=55) non-COVID-19 individuals (n=23). We investigated (n=22) asymptomatic or mild/moderate cases (n=33), controls. Levels SLAMF1, CCL25, IL2RB, IL10RA, IL15RA, IL18 CST5 were significantly upregulated with critical negative for COVID-19. The cohort was followed an average 20 months, 23 developed Long COVID, based on WHO's case definition, while 32 recovered fully. Whereas levels TNF, TSLP, IL18, ADA, CXCL9, CXCL10, IL17C, NT3 at phase associated increased COVID risk, TRANCE reduced developing COVID. Protein also predicted risk. Patients exhibited proteomic signatures. Unravelling before advent may contribute designing novel interventions diagnosing, treating, monitoring SARS-CoV-2 infection consequences.

Язык: Английский

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Plasma taurine level is linked to symptom burden and clinical outcomes in post-COVID condition

PLoS ONE, Год журнала: 2024, Номер 19(6), С. e0304522 - e0304522

Опубликована: Июнь 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

Язык: Английский

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Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank

Communications Medicine, Год журнала: 2024, Номер 4(1)

Опубликована: Ноя. 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.

Язык: Английский

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