Evidence map›Paper›PMID 40687756›Full record

ArticlePeerJ2025

SARS-CoV-2-specific humoral and cellular immunity assessment in Peruvian vaccinated population: a cross-sectional study.

Marlon Yuri Garcia-Paitan, Salyoc Tapia-Rojas, Hector Santiago Alvarez Vega, Javier Enciso-Benavides, Maria J Pons, Ana Mayanga-Herrera

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marlon Yuri Garcia-PaitanCell Culture and Immunology Lab, Universidad Cientifica del Sur, Lima, Peru.ORCID 0000-0003-3028-3454
Salyoc Tapia-RojasCell Culture and Immunology Lab, Universidad Cientifica del Sur, Lima, Peru.
Hector Santiago Alvarez VegaCell Culture and Immunology Lab, Universidad Cientifica del Sur, Lima, Peru.
Javier Enciso-BenavidesGrupo de Enfermedades Infecciosas Re-Emergentes, Universidad Cientifica del Sur, Lima, Lima, Peru.
Maria J PonsGrupo de Enfermedades Infecciosas Re-Emergentes, Universidad Cientifica del Sur, Lima, Lima, Peru.ORCID 0000-0001-8384-2315
Ana Mayanga-HerreraCell Culture and Immunology Lab, Universidad Cientifica del Sur, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Evaluating both humoral and cellular immunity is essential for optimizing vaccination strategies and preventing post-pandemic SARS-CoV-2 outbreaks. This cross-sectional study assessed cellular immunity by measuring Method: Whole blood samples were collected from 40 Peruvian volunteers. Results: The median age was 31 years, with 62.5% females. A heterologous vaccination scheme was reported by 73%, but only 25% received their last dose within the past 6 months, and 55% completed three doses. The BNT162b2 vaccine was included in 88% of vaccination schemes, serving as the first and second dose in 48% of cases. All participants had detectable anti-spike IgG antibodies; 90% exhibited cellular responses to Wuhan peptides and 97.5% to Omicron peptides. Conclusion: Most participants exhibited robust immunity, characterized by elevated levels of

Indexed as

Antibodies, ViralCOVID-19COVID-19 VaccinesImmunity, CellularImmunity, HumoralSARS-CoV-2AdultBNT162 VaccineChemokine CXCL10Cross-Sectional StudiesFemaleHumansImmunoglobulin GMaleMiddle AgedPeruAntibodies, ViralBNT162 VaccineChemokine CXCL10COVID-19 VaccinesCXCL10 protein, humanImmunoglobulin GSpike Glycoprotein, CoronavirusCellular immunityCXCL10 mRNAHumoral immunityRT-qPCRSARS-CoV-2Vaccine

Identifiers

PMID40687756
PMCPMC12273700

What OpenQuestion holds

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Registered trials

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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.