Evidence map›Paper›PMID 37976323›Full record

ArticlePloS one2023

Association of biomarkers of enteric dysfunction, systemic inflammation, and growth hormone resistance with seroconversion to oral rotavirus vaccine: A lasso for inference approach.

Katayi Mwila-Kazimbaya, Samuel Bosomprah, Obvious Nchimunya Chilyabanyama, Caroline Cleopatra Chisenga, Mwelwa Chibuye, Natasha Makabilo Laban, Michelo Simuyandi, Bert Huffer, Miren Iturriza-Gomara, Robert K M Choy and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

11 authors at 4 institutions in 5 countries.

Katayi Mwila-KazimbayaResearch Division, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-8482-4693
Samuel BosomprahResearch Division, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-2826-3887
Obvious Nchimunya ChilyabanyamaResearch Division, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0003-3593-1895
Caroline Cleopatra ChisengaResearch Division, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Mwelwa ChibuyeResearch Division, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Natasha Makabilo LabanResearch Division, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Michelo SimuyandiResearch Division, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-7348-2835
Bert HufferCincinnati Childrens Hospital Medical Center, Cincinnati, Ohio, United States of America.
Miren Iturriza-GomaraCentre for Vaccine Innovation and Access, PATH, Geneve, Switzerland.
Robert K M ChoyPATH, Seattle, Washington, United States of America.ORCID 0000-0002-8441-4029
Roma ChilengiResearch Division, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Centre for Infectious Disease Research in Zambia · ZMCincinnati Children's Hospital Medical Center · USProgram for Appropriate Technology in Health · USUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRotavirus gastroenteritis remains a leading cause of morbidity and mortality despite the introduction of vaccines. Research shows there are several factors contributing to the reduced efficacy of rotavirus vaccines in low- and middle-income settings. Proposed factors include environmental enteric dysfunction (EED), malnutrition, and immune dysfunction. This study aimed to assess the effect of these factors on vaccine responses using a machine learning lasso approach.

methodsSerum samples from two rotavirus clinical trials (CVIA 066 n = 99 and CVIA 061 n = 124) were assessed for 11 analytes using the novel Micronutrient and EED Assessment Tool (MEEDAT) multiplex ELISA. Immune responses to oral rotavirus vaccines (Rotarix, Rotavac, and Rotavac 5D) as well as a parenteral rotavirus vaccine (trivalent P2-VP8) were also measured and machine learning using the lasso approach was then applied to investigate any associations between immune responses and environmental enteric dysfunction, systemic inflammation, and growth hormone resistance biomarkers.

resultsBoth oral and parenteral rotavirus vaccine responses were negatively associated with retinol binding protein 4 (RBP4), albeit only weakly for oral vaccines. The parenteral vaccine responses were positively associated with thyroglobulin (Tg) and histidine-rich protein 2 (HRP2) for all three serotypes (P8, P6 and P4), whilst intestinal fatty acid binding protein (I-FABP) was negatively associated with P6 and P4, but not P8, and soluble transferrin receptor (sTfR) was positively associated with P6 only.

conclusionMEEDAT successfully measured biomarkers of growth, systemic inflammation, and EED in infants undergoing vaccination, with RBP4 being the only analyte associated with both oral and parenteral rotavirus vaccine responses. Tg and HRP2 were associated with responses to all three serotypes in the parenteral vaccine, while I-FABP and sTfR results indicated possible strain specific immune responses to parenteral immunization.

Indexed as

RotavirusRotavirus InfectionsRotavirus VaccinesBiomarkersGrowth HormoneHumansInfantInflammationRetinol-Binding Proteins, PlasmaSeroconversionVaccines, AttenuatedBiomarkersGrowth HormoneRBP4 protein, humanRetinol-Binding Proteins, PlasmaRotavirus VaccinesVaccines, Attenuated

Identifiers

PMID37976323
PMCPMC10656027
OpenAlexW4388775555

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.