gmhhope / fall-postbacc-journal-club-2022

This is a repository to share ideas for the Fall postbacc journal club (PBJ) in 2022
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DW-PBJ9-Harsha #122

Closed Harsha-Tamtam closed 1 year ago

Harsha-Tamtam commented 1 year ago

Multiple early factors anticipate post-acute COVID-19 sequelae


Main Research Question and Contribution to the fields

Although efforts towards preventative, palliative, and post-acute COVID treatments have been investigated, not much work has been done towards investigating post-chronic (1 or more months) COVID infection. In part due to the recency of the pandemic, the lack of study in this area of COVID would reveal findings that may indicate the predispositions for sever COVID infection and/or common after effects of specific and general severe acute respiratory syndromes (SARS). This paper would greatly contribute to the findings of the previously mentioned lack of known evidence. The sequelae this paper investigates illuminates the knowledge gaps between identifiable biological markers and post-acute sequelae of COVID-19 (PASC).


Methods & Data

The authors identified several physiognomic, biological, and immunological markers that are correlated with COVID symptoms acutely and convalescently; specifically, CMV TCRs and GNLY expression levels are elevated in convalescent individuals demonstrating symptoms. Heat maps indicate the correlations (and significance), identifying distinct groups/clusters of cell types and symptoms that characterize chronic COVID. The longitudinal study overall demonstrates that certain analytes and their altered levels compared to baseline/other viral infections are characteristic of COVID convalescence; these are potential therapeutic targets/symptoms to identify for future classifications.


Agreement with authors' interpretation

I am in agreement with the authors' interpretations of their results. The authors portray variances between patient samples and controls, indicating a difference in markers cardinal for immunological and metabolic processes. T-cell UMAP analyses portrays distinct clusters that identify baseline, acute, and convalescent infected individuals, supporting a majority of the differential data presented across all the figures.


Enhancement or next experiments

No enhancements or future experiments as of now. The authors made great use of the available samples and provided the necessary data to generalize convalescent COVID characteristics.


Confusion within paper

Was there a reason these findings were not compared with other PASX (X=other viral infection)? Maybe utilize a database with previous patient findings to differentiation convalescent infections between viral pathogens?


Opinions/Critiques

No opinions/critiques as of now


I hereby confirm that I have:

gmhhope commented 1 year ago

Was there a reason these findings were not compared with other PASX (X=other viral infection)? Maybe utilize a database with previous patient findings to differentiation convalescent infections between viral pathogens? That is too much for this colossal paper. Good for future durection!