Evidence map›Paper›PMID 40796112›Full record

ReviewFEMS microbiology reviews2025

Helminth infections affect host immune responses to viral infections and vaccines.

Juan García-Bernalt Diego, Pritesh Desai, Stephen T Yeung, Payal Damani-Yokota, Kamal M Khanna, Michael S Diamond, Michael Schotsaert

Abstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Co-infection withParasite epidemiology and control · 2026
    Article
  2. Review
  3. Article
  4. Association betweenFrontiers in immunology · 2026
    Article
  5. Review
  6. 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

7 authors.

Juan García-Bernalt DiegoDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Pritesh DesaiDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, United States.
Stephen T YeungDepartment of Medicine, Division of Infectious Disease, Weill Cornell Medicine, New York, NY 10021, United States.
Payal Damani-YokotaDepartment of Microbiology, NYU Langone Health, New York, NY 10016, United States.
Kamal M KhannaDepartment of Microbiology, NYU Langone Health, New York, NY 10016, United States.ORCID 0000-0002-9328-3817
Michael S DiamondDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, United States.
Michael SchotsaertDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.ORCID 0000-0003-3156-3132

Funding

The Development and Evaluation of Pan-Coronavirus VaccinesP01AI168347 · NIAID · WASHINGTON UNIVERSITY · PI Michael S Diamond, Sean PJ Whelan · 2022 to 2026
$15.9M
Human antibody-based countermeasures against the Wuhan Coronavirus SARS-CoV-2R01AI157155 · NIAID · WASHINGTON UNIVERSITY · PI BARIC, RALPH S, CROWE, JAMES E · 2020 to 2024
$6.0M
Structure-based design of broad flavivirus immunogensR01AI158194 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI LAI, JONATHAN R. · 2021 to 2025
$3.7M
Combined adjuvant approaches for enhancement of SARS-CoV-2 vaccine efficacyR01AI160706 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHOTSAERT, MICHAEL, WONG, PAMELA TINMOI · 2022 to 2025
$2.9M
Experimental and natural SARS-CoV-2 infection of the human pancreasR01DK130425 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOMANN, DIRK, SCHOTSAERT, MICHAEL · 2021 to 2023
$1.3M
Impact of mucosal adjuvanted vaccines on virus transmission in preclinical animal models for SARS-CoV-2 and influenza virus infectionR21AI180874 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHOTSAERT, MICHAEL, WONG, PAMELA TINMOI · 2024 to 2025
$472k
Adjuvant strategies for universal and multiseasonal influenza vaccine candidates in the context of pre-existing immunityR21AI176069 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHOTSAERT, MICHAEL, WONG, PAMELA TINMOI · 2023 to 2024
$466k
Instituto de Salud Carlos III CD23/00174NIAID NIH HHS P01 AI168347NIAID NIH HHS R01 AI157155NIAID NIH HHS R01 AI158194NIAID NIH HHS R01 AI160706NIAID NIH HHS R21 AI176069NIAID NIH HHS R21 AI180874NIDDK NIH HHS R01 DK130425NIH HHS R01AI160706NIH HHS R01DK130425NIH HHS R21AI176069NIH HHS R21AI180874
6 · The paper itself

Abstract

Helminths are highly prevalent in many regions of the world. Due to the chronic nature of most helminth infections, these parasites are proficient immunomodulators of their hosts. This modulation often leads to skewed or even impaired immune responses against unrelated antigens, such as viruses and vaccines, which can be both beneficial and detrimental for the host. The extent of these effects and the impact on the outcomes of viral infection depends on a variety of factors including timing and tropism of both infections, pathological mechanisms, genetic background, and environmental factors. In this review, we dissect these complex interactions between virus and helminths in the context of coinfection and the impact of helminth infection on antiviral vaccine efficacy. We characterize the key contributing mechanisms that have been defined in preclinical models and human trials and describe the immune actors involved in the modulation of the antiviral and vaccine immune response by helminths. Finally, we address the limitations of our current understanding of helminth-virus interactions.

Indexed as

HelminthiasisViral VaccinesVirus DiseasesAnimalsCoinfectionHelminthsHumansViral Vaccinesantiviral immunitycoinfectionshelminthtrained immunityvaccine efficacyvirus

Identifiers

PMID40796112
PMCPMC12398278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.