Evidence map›Paper›PMID 36999012›Full record

ArticleFrontiers in immunology2023

A longitudinal analysis of humoral, T cellular response and influencing factors in a cohort of healthcare workers: Implications for personalized SARS-CoV-2 vaccination strategies.

Eleonora Sabetta, Maddalena Noviello, Clara Sciorati, Marco Viganò, Rebecca De Lorenzo, Valeria Beretta, Veronica Valtolina, Chiara Di Resta, Giuseppe Banfi, Davide Ferrari and 5 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

15 authors at 5 institutions in 1 country.

Eleonora SabettaVita-Salute San Raffaele University, Milan, Italy.
Maddalena NovielloExperimental Hematology Unit, Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Clara ScioratiInnate Immunity and Tissue Remodeling Unit, Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Marco ViganòScientific Direction, IRCCS Orthopedic Institute Galeazzi, Milan, Italy.
Rebecca De LorenzoVita-Salute San Raffaele University, Milan, Italy.
Valeria BerettaExperimental Hematology Unit, Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Veronica ValtolinaExperimental Hematology Unit, Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Chiara Di RestaVita-Salute San Raffaele University, Milan, Italy.
Giuseppe BanfiVita-Salute San Raffaele University, Milan, Italy.
Davide FerrariSCVSA Department, University of Parma, Parma, Italy.
Massimo LocatelliLaboratory Medicine Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Fabio CiceriVita-Salute San Raffaele University, Milan, Italy.
Chiara BoniniVita-Salute San Raffaele University, Milan, Italy.
Patrizia Rovere-QueriniVita-Salute San Raffaele University, Milan, Italy.
Rossella TomaiuoloVita-Salute San Raffaele University, Milan, Italy.
Istituto di Ricovero e Cura a Carattere Scientifico San RaffaeleVita-Salute San Raffaele University · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Ortopedico Galeazzi · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: SARS-CoV-2 mRNA vaccinations elicit both virus-specific humoral and T-cell responses, but a complex interplay of different influencing factors, such as natural immunity, gender, and age, guarantees host protection. The present study aims to assess the immune dynamics of humoral, T-cell response, and influencing factors to stratify individual immunization status up to 10 months after Comirnaty-vaccine administration. Methods: To this aim, we longitudinally evaluated the magnitude and kinetics of both humoral and T-cell responses by serological tests and enzyme-linked immunospot assay at 5 time points. Furthermore, we compared the course over time of the two branches of adaptive immunity to establish an eventual correlation between adaptive responses. Lastly, we evaluated putative influencing factors collected by an anonymized survey administered to all participants through multiparametric analysis. Among 984 healthcare workers evaluated for humoral immunity, 107 individuals were further analyzed to describe SARS-CoV-2-specific T-cell responses. Participants were divided into 4 age groups: <40 and ≥40 years for men, <48 and ≥48 years for women. Furthermore, results were segregated according to SARS-CoV-2-specific serostatus at baseline. Results: The disaggregated evaluation of humoral responses highlighted antibody levels decreased in older subjects. The humoral responses were higher in females than in males (p=0.002) and previously virus-exposed subjects compared to naïve subjects (p<0.001). The vaccination induced a robust SARS-CoV-2 specific T-cell response at early time points in seronegative subjects compared to baseline levels (p<0.0001). However, a contraction was observed 6 months after vaccination in this group (p<0.01). On the other hand, the pre-existing specific T-cell response detected in natural seropositive individuals was longer-lasting than the response of the seronegative subjects, decreasing only 10 months after vaccination. Our data suggest that T-cell reactiveness is poorly impacted by sex and age. Of note, SARS-CoV-2-specific T-cell response was not correlated to the humoral response at any time point. Discussion: These findings suggest prospects for rescheduling vaccination strategies by considering individual immunization status, personal characteristics, and the appropriate laboratory tests to portray immunity against SARS-CoV-2 accurately. Deepening our knowledge about T and B cell dynamics might optimize the decision-making process in vaccination campaigns, tailoring it to each specific immune response.

Indexed as

Complementary TherapiesCOVID-19AdultAgedCOVID-19 VaccinesFemaleHealth PersonnelHumansMaleSARS-CoV-2COVID-19 VaccinesCOVID-19influencing factors (variables)SARS-CoV-2 vaccinationserological tests and risk factorsT-cell response

Identifiers

PMID36999012
PMCPMC10043299
OpenAlexW4324144973

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read45
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.