Evidence mapPaperPMID 39201322Full record

ReviewInternational journal of molecular sciences2024

The Impact of Serum/Plasma Proteomics on SARS-CoV-2 Diagnosis and Prognosis.

Maura D'Amato, Maria Antonietta Grignano, Paolo Iadarola, Teresa Rampino, Marilena Gregorini, Simona Viglio

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Maura D'AmatoDepartment of Molecular Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0003-1294-3121
Maria Antonietta GrignanoUnit of Nephrology, Dialysis and Transplantation, IRCCS Policlinico San Matteo Foundation, 27100 Pavia, Italy.ORCID 0000-0003-1439-7662
Paolo IadarolaDepartment of Biology and Biotechnologies "L. Spallanzani", University of Pavia, 27100 Pavia, Italy.ORCID 0000-0001-5651-149X
Teresa RampinoUnit of Nephrology, Dialysis and Transplantation, IRCCS Policlinico San Matteo Foundation, 27100 Pavia, Italy.ORCID 0000-0002-5311-9174
Marilena GregoriniUnit of Nephrology, Dialysis and Transplantation, IRCCS Policlinico San Matteo Foundation, 27100 Pavia, Italy.ORCID 0000-0003-1440-6872
Simona ViglioDepartment of Molecular Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0001-5020-478X

Funding

Italian Ministry of Research and University PRIN 2022F5N25M
6 · The paper itself

Abstract

While COVID-19's urgency has diminished since its emergence in late 2019, it remains a significant public health challenge. Recent research reveals that the molecular intricacies of this virus are far more complex than initially understood, with numerous post-translational modifications leading to diverse proteoforms and viral particle heterogeneity. Mass spectrometry-based proteomics of patient serum/plasma emerges as a promising complementary approach to traditional diagnostic methods, offering insights into SARS-CoV-2 protein dynamics and enhancing understanding of the disease and its long-term consequences. This article highlights key findings from three years of pandemic-era proteomics research. It delves into biomarker discovery, diagnostic advancements, and drug development efforts aimed at monitoring COVID-19 onset and progression and exploring treatment options. Additionally, it examines global protein abundance and post-translational modification profiling to elucidate signaling pathway alterations and protein-protein interactions during infection. Finally, it explores the potential of emerging multi-omics analytic strategies in combatting SARS-CoV-2.

Indexed as

BiomarkersCOVID-19ProteomicsSARS-CoV-2HumansMass SpectrometryPrognosisProtein Processing, Post-TranslationalBiomarkersCOVID-19LC-MSmulti-omicsplasmaproteomicsserum

Identifiers

PMID39201322
PMCPMC11354567

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.