Evidence map›Paper›PMID 38564600›Full record

ArticlePloS one2024

Determinants of health as predictors for differential antibody responses following SARS-CoV-2 primary and booster vaccination in an at-risk, longitudinal cohort.

Felipe Echeverri Tribin, Erin Williams, Valeska Testamarck, Juan Manuel Carreño, Dominika Bielak, Temima Yellin, Florian Krammer, Michael Hoffer, Suresh Pallikkuth, Savita Pahwa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
0.8field-weighted citation impact, top 31% 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, 2 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

10 authors at 3 institutions in 1 country.

Felipe Echeverri TribinDepartment of Biomedical Engineering, University of Miami, Miami, Florida, United States of America.ORCID 0009-0004-0408-697X
Erin WilliamsDepartment of Biomedical Engineering, University of Miami, Miami, Florida, United States of America.
Valeska TestamarckIndiana University School of Medicine, Indianapolis, IN, United States of America.
Juan Manuel CarreñoDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Dominika BielakDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Temima YellinDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Florian KrammerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Michael HofferDepartment of Biomedical Engineering, University of Miami, Miami, Florida, United States of America.
Suresh PallikkuthDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, Florida, United States of America.
Savita PahwaDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, Florida, United States of America.
University of Miami · USIcahn School of Medicine at Mount Sinai · USIndiana University School of Medicine

Funding

COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTER: UNIVERSAL INFLUENZA VACCINE RESEARCH75N93019C00051 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KRAMMER, FLORIAN · 2019 to 2025
$105.4M
NIH HHS 75N93019C00051
6 · The paper itself

Abstract

Post vaccine immunity following COVID-19 mRNA vaccination may be driven by extrinsic, or controllable and intrinsic, or inherent health factors. Thus, we investigated the effects of extrinsic and intrinsic on the peak antibody response following COVID-19 primary vaccination and on the trajectory of peak antibody magnitude and durability over time. Participants in a longitudinal cohort attended visits every 3 months for up to 2 years following enrollment. At baseline, participants provided information on their demographics, recreational behaviors, and comorbid health conditions which guided our model selection process. Blood samples were collected for serum processing and spike antibody testing at each visit. Cross-sectional and longitudinal models (linear-mixed effects models) were generated to assess the relationship between selected intrinsic and extrinsic health factors on peak antibody following vaccination and to determine the influence of these predictors on antibody over time. Following cross-sectional analysis, we observed higher peak antibody titers after primary vaccination in females, those who reported recreational drug use, younger age, and prior COVID-19 history. Following booster vaccination, females and Hispanics had higher peak titers after the 3rd and 4th doses, respectively. Longitudinal models demonstrated that Moderna mRNA-1273 recipients, females, and those previously vaccinated had increased peak titers over time. Moreover, drug users and half-dose Moderna mRNA-1273 recipients had higher peak antibody titers over time following the first booster, while no predictive factors significantly affected post-second booster antibody responses. Overall, both intrinsic and extrinsic health factors play a significant role in shaping humoral immunogenicity after initial vaccination and the first booster. The absence of predictive factors for second booster immunogenicity suggests a more robust and consistent immune response after the second booster vaccine administration.

Indexed as

COVID-19SARS-CoV-22019-nCoV Vaccine mRNA-1273AntibodiesAntibodies, ViralAntibody FormationCross-Sectional StudiesFemaleHumansVaccination2019-nCoV Vaccine mRNA-1273AntibodiesAntibodies, Viral

Identifiers

PMID38564600
PMCPMC10987003
OpenAlexW4393717163

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.