Evidence map›Paper›PMID 41267794›Full record

ReviewBioMed research international2025

Novel Strategies to Profile SARS-CoV-2 and Human Lung Proteome: Inflammatory Pathways in the Spotlight.

E Mankayi, T E Chiliza, N E Mvubu

Abstract readReview
In one paragraph

Review in BioMed research international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

E MankayiSchool of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa, ukzn.ac.za.ORCID https://orcid.org/0000-0003-2461-1116
T E ChilizaSchool of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Durban, South Africa, ukzn.ac.za.ORCID https://orcid.org/0000-0002-9033-5941
N E MvubuSchool of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa, ukzn.ac.za.ORCID https://orcid.org/0000-0002-3759-7141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, has caused widespread morbidity and mortality worldwide. SARS-CoV-2 infection triggers innate and adaptive immune responses, but excessive cytokine release can drive hyperinflammation, acute respiratory distress syndrome and poor clinical outcomes. Although serological and molecular assays, such as ELISA and RT-qPCR, remain central to COVID-19 diagnostics, they have limited capacity to reveal host-pathogen interactions at the tissue level. Therefore, profiling the human lung proteome offers a powerful strategy to identify molecular signatures associated with viral pathogenesis and disease severity. This review emphasises emerging technologies that advance lung proteome profiling during SARS-CoV-2 infection. Novel strategies include phage display for high-throughput identification of antibody-antigen interactions, yeast two-hybrid for mapping virus-host protein interactions and lateral flow immunoassays for rapid, point-of-care detection. Conversely, omics-based technologies such as single-cell RNA sequencing, microarrays and mass spectrometry are transforming our understanding of the lung proteome by revealing patterns of gene expression, protein abundance and immune heterogeneity. Therefore, comparing these conventional diagnostic assays with innovative approaches, we highlight their unique contributions to lung proteome research. These tools not only improve diagnostic precision but also hold the potential to uncover biomarkers for early risk stratification and therapeutic targeting. Prioritising integrative proteome-focused strategies may ultimately guide personalised interventions and enhance preparedness for future viral outbreaks.

Indexed as

COVID-19LungProteomeSARS-CoV-2Host-Pathogen InteractionsHumansInflammationProteomicsProteomecytokine stormlateral flow immunoassayslung proteomephage displaySARS-CoV-2single-cell RNA sequencing

Identifiers

PMID41267794
PMCPMC12628087

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.