Ask about this productRelated genes to: SARS2 antibody
- Gene:
- SARS2 NIH gene
- Name:
- seryl-tRNA synthetase 2, mitochondrial
- Previous symbol:
- SARSM
- Synonyms:
- FLJ20450, mtSerRS, SerRSmt, SARS, SERS, SYS
- Chromosome:
- 19q13.2
- Locus Type:
- gene with protein product
- Date approved:
- 2002-10-09
- Date modifiied:
- 2016-11-09
Related products to: SARS2 antibody
Related articles to: SARS2 antibody
- Post-COVID-19 syndrome (PCS) is characterised by persistent cognitive, affective, and somatic symptoms that extend months beyond acute SARS-CoV-2 infection, frequently in the absence of overt systemic inflammation. While immune dysregulation is increasingly implicated, the mechanisms linking peripheral immune alterations to enduring brain-related symptoms remain poorly understood. The choroid plexus (CP), a specialised blood-cerebrospinal fluid barrier and neuroimmune interface, is well positioned to mediate such immune-brain communication. - Source: PubMed
Publication date: 2026/10/02
Martins DanielMariani NicoleSchubert JuliaEiff BrandiRota SilviaNicholson TimothyHampshire AdamVeronese MattiaWilliams Steven C RMondelli ValeriaPariante CarmineBorsini AlessandraTurkheimer Federico - Objective Physiological resilience-the ability to maintain or regain homeostasis after a stressor-is rarely quantified in clinical practice. Complex-systems theory proposes dynamic indicators of resilience based on variabilityvariation, autocorrelation, and complexity ofin physiological signals. We examined whether such indicators, derived from routine ward-monitor heart-rate (HR) data, relate to were associated with in-hospital COVID-19 outcomesseverity and long-term survival.
Methods Continuous 1-minute HR tracesApproach Routine ward-monitor HR data from 181 hospitalized COVID-19 patients were analyzed. Fourteen at 1-minute resolution. Dynamic indicators were calculated for a short window (the first valid 270 min-minute interval after admission) and for an extended window (first 1620 min, -minute-summary based on the first six consecutive segments).sequential valid 270-minute intervals. Logistic regression assessedwas used to assess associations with an in-hospital composite outcome of COVID-19-related complications, ICU admission, or death;. Cox models evaluated long-term mortalitywere used to examine survival; systematic post-discharge follow-up was conducted only in patients ≥ aged ≥60 years. Models were adjusted for age and sex.
Results Main results Greater HR variability (minute-level HR variation during the 270-minute interval, reflected by standard deviation, and range) over 270 min, was associated with lower odds of in-hospital disease severity (standard deviation: OR=0.6762, p=0.0402; range: OR=0.64, p=0.01) and better survival (HazR=0.51, p=0.045). Over 1620 min these associations weakened and reversed direction, consistent with noise accumulation. for standard deviation). Short-lag autocorrelations at 270 min correlatedduring the 270-minute interval were positively associated with acute severity, whereas higher entropy over 1620 min showed a protective trend both for qSOFA, but were not clearly associated with the in-hospital severity (p = 0.06) and survival. Fractal dimension exhibited a non-significant protective trend for composite. Sample entropy showed time-scale-dependent associations with in-hospital severity but was significantly: higher sample entropy during the 270-minute interval was associated with higher odds of severe disease (OR=1.46, p=0.04), whereas higher sample entropy in the extended 1620-minute summary was associated with lower odds of severe disease (OR=0.68, p=0.02). Higher fractal dimension in the extended summary was associated with increased long-term mortality at 1620 min (HR in age-interaction models (HazR=1.93, p=0.04). Age modified several associations, including the protective-dependent patterns were observed, most clearly for the association of long-lag autocorrelation and the Lyapunov exponentbetween fractal dimension and long-term mortality.
Conclusions Significance Minute-level HR dynamics may contain complementary resilience signals: short-window variability clinically relevant information beyond co. - Source: PubMed
Publication date: 2026/10/02
Kuranova AnnaPeeters GeeskeWijgerse JanPeters Jeannette BAbbink Evertine JVan Goor HarryBredie SebastianMelis René - A definitive correlate of protection (CoP) for SARS-CoV-2 has yet to be formally established. We previously reported that neutralising antibodies (NAbs) are the strongest candidate CoP for clinical protection against COVID-19 and that spike binding antibody is the strongest candidate CoP for viral burden post-challenge in our non-human primate vaccine candidate challenge study. In this study, we further characterised the protective binding antibody profile by analysing spike antibody-dependent complement deposition (ADCD), FcγR binding, isotype and antibody sialylation. Using the machine learning platform SIMON, we demonstrated that ADCD and FcγR binding are strong candidate co-correlates of clinical protection, as their addition to the model improved its performance. We found that FcγR2A binding, closely followed by spike antibody sialylation, was the spike antibody feature with the strongest negative correlation with histopathology score. Sialylation also negatively correlated with lung viral load six-to-eight days post-challenge. Spike antibody ADCD, FcγR binding, isotype and sialylation significantly differed by immunisation regimen and sex, which demonstrates the heterogeneity of immune mechanisms induced by different immunisation platforms. We conclude that spike binding antibody, with the protective Fc characteristics described herein, is a candidate CoP that captures both protection from severe clinical disease and protection against a high viral burden. These findings should be taken into consideration for future SARS-CoV-2 vaccine development. - Source: PubMed
Publication date: 2026/10/02
Brady CaolannGovender MelissaMellors JackTipton TomGooch KarenTomic AdrianaCarroll Miles W - Nucleic acid amplification tests (NAATs), including PCR, are considered the gold standard for pathogen detection. Amplification is commonly detected by fluorescence from probes or intercalating dyes, with internally-quenched probes most widely used for enhanced specificity. However, these methods require elaborate instrumentation for fluorescence detection, limiting their usability at point-of-care. We found that the chemical excitation of fluorophores, as used in consumer glow sticks, can be used to detect PCR probe hydrolysis with minimal instrumentation using a smartphone or simple digital camera. By systematically optimizing reagent composition, including hydrogen peroxide, catalyst, viscosifier, and surfactant concentrations, we tuned the reaction kinetics to maximize signal intensity and stability for "Glow" readout. In spiked nasal-swab matrix, smartphone Glow readout detected reactions containing 50 Flu A copies/reaction and 10 SARS-CoV-2 copies/reaction in single-target assays; duplex detection was demonstrated at 500 copies/reaction per target. The assay is compatible with nasal swab extracts and demonstrated two-color duplex readout because the same peroxyoxalate chemistry can chemiexcite multiple fluorophores simultaneously. We establish a general chemiexcitation-based end-point readout architecture for fluorogenic nucleic acid assays, identify fluorophore properties associated with probe-compatible Glow performance in biphasic peroxyoxalate media, and show that this chemistry enables multiplexed post-amplification readout without optical excitation hardware. Peroxyoxalate chemiexcitation may provide a route toward lower-cost molecular diagnostic readout for low-resource settings. - Source: PubMed
Publication date: 2026/09/25
Drugkar Anjali SVu BinhKourentzi KaterinaWillson Richard C - Adipokines regulate metabolic and inflammatory pathways and may be altered during critical illness. We explored sequential serum adipokine concentrations and their associations with nutritional and clinical variables in critically ill COVID-19 patients. This prospective observational, exploratory study included 30 critically ill COVID-19 patients and 10 age- and sex-matched healthy controls. Serum adiponectin, resistin, GLP-1, visfatin, IGF-1, leptin, and acylated ghrelin were measured at intensive care unit admission and on day 7. Biomarker-clinical correlations were analyzed using Spearman correlation, and the Benjamini-Hochberg false discovery rate procedure was applied to account for multiple biomarker comparisons. After false discovery rate correction, longer time to nutrition initiation remained inversely associated with day-7 adiponectin (ρ = -0.464, q = 0.027), GLP-1 (ρ = -0.568, q = 0.015), IGF-1 (ρ = -0.488, q = 0.022), leptin (ρ = -0.539, q = 0.015), and acylated ghrelin (ρ = -0.503, q = 0.021). Several adipokines showed exploratory associations with nutrition-initiation time in this small cohort of critically ill COVID-19 patients. These observational findings do not establish that earlier nutritional support causes changes in adipokine concentrations and require validation in larger, adequately controlled studies. - Source: PubMed
Temel ŞahinŞahin Ergül SerapYeşiltepe AliYüksel Recep CivanKaynar Ahmet SafaSungur MuratGündoğan Kürşat