Evidence map›Paper›PMID 38534967›Full record

ReviewDiseases (Basel, Switzerland)2024

Amino Acid Metabolism in Leukocytes Showing In Vitro IgG Memory from SARS-CoV2-Infected Patients.

Giuseppina Fanelli, Veronica Lelli, Sara Rinalducci, Anna Maria Timperio

Open access · goldAbstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 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
0.2field-weighted citation impact, top 62% of its field
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 citations in OpenAlex.

  1. Article
  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

4 authors at 1 institution in 1 country.

Giuseppina FanelliDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-8423-065X
Veronica LelliDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.
Sara RinalducciDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-2703-6105
Anna Maria TimperioDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0001-8457-042X
Università degli Studi della Tuscia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune response to infectious diseases is directly influenced by metabolic activities. COVID-19 is a disease that affects the entire body and can significantly impact cellular metabolism. Recent studies have focused their analysis on the potential connections between post-infection stages of SARS-CoV2 and different metabolic pathways. The spike S1 antigen was found to have in vitro IgG antibody memory for PBMCs when obtaining PBMC cultures 60-90 days post infection, and a significant increase in S-adenosyl homocysteine, sarcosine, and arginine was detected by mass spectrometric analysis. The involvement of these metabolites in physiological recovery from viral infections and immune activity is well documented, and they may provide a new and simple method to better comprehend the impact of SARS-CoV2 on leukocytes. Moreover, there was a significant change in the metabolism of the tryptophan and urea cycle pathways in leukocytes with IgG memory. With these data, together with results from the literature, it seems that leukocyte metabolism is reprogrammed after viral pathogenesis by activating certain amino acid pathways, which may be related to protective immunity against SARS-CoV2.

Indexed as

cell ELISACOVID-19mass spectrometrymetabolomicsSARS-CoV2

Identifiers

PMID38534967
PMCPMC10968782
OpenAlexW4392101349

What OpenQuestion 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 OpenQuestion graph.