Evidence map›Paper›PMID 34741638›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2022

Aging whole blood transcriptome reveals candidate genes for SARS-CoV-2-related vascular and immune alterations.

Luiz Gustavo de Almeida Chuffa, Paula Paccielli Freire, Jeferson Dos Santos Souza, Mariana Costa de Mello, Mário de Oliveira Neto, Robson Francisco Carvalho

Open access · bronzeAbstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Research progress on blood therapy for anti-aging.Journal of advanced research · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Elevated Expression ofJournal of personalized medicine · 2022
    Article
  19. 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 at 2 institutions in 1 country.

Luiz Gustavo de Almeida Chuffa *Department of Structural and Functional Biology, Institute of Biosciences, UNESP-São Paulo State University, 510, Rubião Júnior, s/n, P.O. Box, Botucatu, São Paulo, 18618-689, Brazil. luiz-gustavo.chuffa@unesp.br.ORCID http://orcid.org/0000-0002-0199-3396
Paula Paccielli FreireDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Jeferson Dos Santos SouzaDepartment of Structural and Functional Biology, Institute of Biosciences, UNESP-São Paulo State University, 510, Rubião Júnior, s/n, P.O. Box, Botucatu, São Paulo, 18618-689, Brazil.
Mariana Costa de MelloDepartment of Biophysics and Pharmacology, Institute of Biosciences, UNESP-São Paulo State University, Botucatu, São Paulo, Brazil.
Mário de Oliveira NetoDepartment of Biophysics and Pharmacology, Institute of Biosciences, UNESP-São Paulo State University, Botucatu, São Paulo, Brazil.
Robson Francisco Carvalho *Department of Structural and Functional Biology, Institute of Biosciences, UNESP-São Paulo State University, 510, Rubião Júnior, s/n, P.O. Box, Botucatu, São Paulo, 18618-689, Brazil.
Universidade Estadual Paulista (Unesp) · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk of severe COVID-19 increases with age as older patients are at highest risk. Thus, there is an urgent need to identify how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) interacts with blood components during aging. We investigated the whole blood transcriptome from the Genotype-Tissue Expression (GTEx) database to explore differentially expressed genes (DEGs) translated into proteins interacting with viral proteins during aging. From 22 DEGs in aged blood, FASLG, CTSW, CTSE, VCAM1, and BAG3 were associated with immune response, inflammation, cell component and adhesion, and platelet activation/aggregation. Males and females older than 50 years old overexpress FASLG, possibly inducing a hyperinflammatory cascade. The expression of cathepsins (CTSW and CTSE) and the anti-apoptotic co-chaperone molecule BAG3 also increased throughout aging in both genders. By exploring single-cell RNA-sequencing data from peripheral blood of SARS-CoV-2-infected patients, we found FASLG and CTSW expressed in natural killer cells and CD8 + T lymphocytes, whereas BAG3 was expressed mainly in CD4 + T cells, naive T cells, and CD14 + monocytes. In addition, T cell exhaustion was associated with increased expression of CCL4L2 and DUSP4 over blood aging. LAG3, PDCD1, TIGIT, VCAM1, HLA-DRA, and TOX also increased in individuals aged 60-69 years old; conversely, the RGS2 gene decreased with aging. We further identified a distinct gene expression profile associated with type I interferon signaling following blood aging. These results revealed changes in blood molecules potentially related to SARS-CoV-2 infection throughout aging, emphasizing them as therapeutic candidates for aggressive clinical manifestation of COVID-19. KEY MESSAGES: • Prediction of host-viral interactions in the whole blood transcriptome during aging. • Expression levels of FASLG, CTSW, CTSE, VCAM1, and BAG3 increase in aged blood. • Blood interactome reveals targets involved with immune response, inflammation, and blood clots. • SARS-CoV-2-infected patients with high viral load showed FASLG overexpression. • Gene expression profile associated with T cell exhaustion and type I interferon signaling were affected with blood aging.

Indexed as

TranscriptomeAdultAgedAgingBloodBlood Chemical AnalysisBlood ProteinsBlood VesselsCardiovascular Physiological PhenomenaCardiovascular SystemCohort StudiesCOVID-19FemaleGenetic Association StudiesHumansImmunity, InnateBlood ProteinsCathepsinCOVID-19FASLIFN signalingSARS-CoV-2T cell exhaustionWhole blood

Identifiers

PMID34741638
PMCPMC8571664
OpenAlexW3212211726

What OpenQuestion holds

Textmetadata
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.