[HTML][HTML] The prediction of miRNAs in SARS-CoV-2 genomes: hsa-miR databases identify 7 key miRs linked to host responses and virus pathogenicity-related KEGG …

ED Arisan, A Dart, GH Grant, S Arisan, S Cuhadaroglu… - Viruses, 2020 - mdpi.com
SARS-CoV-2 pathogenicity in humans leads to increased mortality rates due to alterations
… five SARS-CoV-2 sequences from different geographical regions to those from SARS, MERS …

Diagnostic performance of different sampling approaches for SARS-CoV-2 RT-PCR testing: a systematic review and meta-analysis

NNY Tsang, HC So, KY Ng, BJ Cowling… - The Lancet Infectious …, 2021 - thelancet.com
predictive value, and negative predictive value … SARS-CoV-2 testing in an ambulatory care
setting and assesses sensitivity, specificity, positive predictive value, and negative predictive

[HTML][HTML] Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain

JM Taft, CR Weber, B Gao, RA Ehling, J Han, L Frei… - Cell, 2022 - cell.com
predicting their impact on ACE2 binding and antibody escape. A highly diverse landscape of
possible SARS-CoV-2 … DML may be used for predictive profiling on current and prospective …

[HTML][HTML] SARS-CoV-2 antibody signatures robustly predict diverse antiviral functions relevant for convalescent plasma therapy

H Natarajan, AR Crowley, SE Butler, S Xu, JA Weiner… - MedRxiv, 2020 - ncbi.nlm.nih.gov
… Although models considered responses toward both endemic CoV and SARS-CoV-2,
only SARS-CoV-2-specific responses were predictive of functional activity in independent …

[HTML][HTML] Identification of SARS-CoV-2–specific immune alterations in acutely ill patients

RM Rebillard, M Charabati, C Grasmuck… - The Journal of …, 2021 - Am Soc Clin Investig
… immune profile in hospitalized patients infected with SARS-CoV-2 include elevated levels
of circulating IL-6 and decreased peripheral lymphocyte/neutrophil ratio, which are predictive

[HTML][HTML] Machine-learning-assisted analysis of TCR profiling data unveils cross-reactivity between SARS-CoV-2 and a wide spectrum of pathogens and other …

GK Georgakilas, AP Galanopoulos, Z Tsinaris, M Kyritsi… - Biology, 2022 - mdpi.com
… -B cells of a SARS-CoV-1 infected individual have been described to react with SARS-CoV-2
surface glycoprotein [21]. In addition, cross-reactive T cells recognising SARS-CoV-2 seem …

[HTML][HTML] Immunological dysfunction persists for 8 months following initial mild-to-moderate SARS-CoV-2 infection

C Phetsouphanh, DR Darley, DB Wilson, A Howe… - Nature …, 2022 - nature.com
… Because plasma ACE2 activity has been reported to be elevated 114 days after SARS-CoV-2 …
is specific to SARS-CoV-2 infection and is not a common feature of other coronaviruses. …

[HTML][HTML] Predictive biomarkers of COVID-19 severity in SARS-CoV-2 infected patients with obesity and metabolic syndrome

C Perpinan, L Bertran, X Terra, C Aguilar… - Journal of personalized …, 2021 - mdpi.com
… The main findings of this study are that IL-6 is a potential predictor of COVID-19 severity in
patients with obesity, while troponin and LDH can be used as predictive biomarkers of COVID-…

SARS-CoV-2–specific antibody detection for seroepidemiology: a multiplex analysis approach accounting for accurate seroprevalence

G den Hartog, RM Schepp, M Kuijer… - The Journal of …, 2020 - academic.oup.com
… general population, and also anticipating the introduction of future SARS-CoV-2 vaccines.
By multiplexing a broader range of SARS-CoV-2 antigens in a single assay we may generate …

[HTML][HTML] Identifying transcriptomic signatures and rules for SARS-CoV-2 infection

YH Zhang, H Li, T Zeng, L Chen, Z Li… - Frontiers in Cell and …, 2021 - frontiersin.org
SARS-CoV-2 compared with other respiratory infectious diseases. Based on transcriptomics
data, the authors also built effective predictive models to distinguish SARS-CoV-… SARS-CoV-…