Evidence map›Paper›PMID 35805128›Full record

ArticleCells2022

Serum Cytokines Predict Neurological Damage in Genetically Diverse Mouse Models.

Aracely A Pérez Gómez, Moumita Karmakar, Raymond J Carroll, Koedi S Lawley, Katia Amstalden, Colin R Young, David W Threadgill, C Jane Welsh, Candice Brinkmeyer-Langford

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. 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
0.5field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  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

9 authors at 2 institutions in 1 country.

Aracely A Pérez GómezInterdisciplinary Faculty of Toxicology, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX 77843, USA.ORCID 0000-0002-1047-7246
Moumita KarmakarDepartment of Statistics, College of Science, Texas A & M University, College Station, TX 77843, USA.
Raymond J CarrollDepartment of Statistics, College of Science, Texas A & M University, College Station, TX 77843, USA.
Koedi S LawleyDepartment of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX 77843, USA.ORCID 0000-0002-2734-6728
Katia AmstaldenDepartment of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX 77843, USA.
Colin R YoungDepartment of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX 77843, USA.
David W ThreadgillInterdisciplinary Faculty of Toxicology, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX 77843, USA.
C Jane WelshDepartment of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX 77843, USA.ORCID 0000-0001-9659-8032
Candice Brinkmeyer-LangfordInterdisciplinary Faculty of Toxicology, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX 77843, USA.
Texas A&M University · USTexas A&M Health Science Center · US

Funding

Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Sakhila Banu · 2019 to 2026
$13.0M
Regulatory Science in Environmental Health and ToxicologyT32ES026568 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu, Natalie M Johnson · 2016 to 2026
$3.8M
Host genetic determinants of diversity in viral-induced neuropathologyR01NS103934 · NINDS · TEXAS A&M UNIVERSITY · PI BRINKMEYER-LANGFORD, CANDICE L. · 2018 to 2022
$1.6M
NIEHS NIH HHS P30 ES029067NIEHS NIH HHS T32 ES026568NINDS NIH HHS R01 NS103934
6 · The paper itself

Abstract

Viral infections contribute to neurological and immunological dysfunction driven by complex genetic networks. Theiler's murine encephalomyelitis virus (TMEV) causes neurological dysfunction in mice and can model human outcomes to viral infections. Here, we used genetically distinct mice from five Collaborative Cross mouse strains and C57BL/6J to demonstrate how TMEV-induced immune responses in serum may predict neurological outcomes in acute infection. To test the hypothesis that serum cytokine levels can provide biomarkers for phenotypic outcomes of acute disease, we compared cytokine levels at pre-injection, 4 days post-injection (d.p.i.), and 14 d.p.i. Each strain produced unique baseline cytokine levels and had distinct immune responses to the injection procedure itself. Thus, we eliminated the baseline responses to the injection procedure itself and identified cytokines and chemokines induced specifically by TMEV infection. Then, we identified strain-specific longitudinal cytokine profiles in serum during acute disease. Using stepwise regression analysis, we identified serum immune markers predictive for TMEV-induced neurological phenotypes of the acute phase, e.g., IL-9 for limb paralysis; and TNF-α, IL-1β, and MIP-1β for limb weakness. These findings indicate how temporal differences in immune responses are influenced by host genetic background and demonstrate the potential of serum biomarkers to track the neurological effects of viral infection.

Indexed as

TheilovirusVirus DiseasesAcute DiseaseAnimalsCytokinesMiceMice, Inbred C57BLCytokinesacutecytokinediseaseimmune response-profileinfectionneurologicalTMEVvirus

Identifiers

PMID35805128
PMCPMC9265636
OpenAlexW4283688832

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.