Evidence map›Paper›PMID 28292961›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2017

Modeling month-season of birth as a risk factor in mouse models of chronic disease: from multiple sclerosis to autoimmune encephalomyelitis.

Jacob D Reynolds, Laure K Case, Dimitry N Krementsov, Abbas Raza, Rose Bartiss, Cory Teuscher

Open access · bronzeAbstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 39% 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, 11 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Jacob D ReynoldsDepartment of Medicine, University of Vermont, Burlington, Vermont, USA.
Laure K CaseDepartment of Medicine, University of Vermont, Burlington, Vermont, USA.
Dimitry N KrementsovDepartment of Medicine, University of Vermont, Burlington, Vermont, USA.
Abbas RazaDepartment of Medicine, University of Vermont, Burlington, Vermont, USA.
Rose BartissTrudeau Institute, Saranac Lake, New York, USA.
Cory TeuscherDepartment of Medicine, University of Vermont, Burlington, Vermont, USA; c.teuscher@uvm.edu.
Trudeau Institute · USUniversity of Vermont · US

Funding

Vermont Immunobioloigy/ Infectious Diseases CenterP20GM103496 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2012 to 2015
$8.7M
Vermont Immunology/Infectious Diseases CenterP30GM118228 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2016 to 2021
$6.8M
Susceptibilty and Resistance Loci in Mouse EAER01NS036526 · NINDS · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TEUSCHER, CORY · 1996 to 2008
$4.4M
Histamine Receptor Signaling in CNS Autoimmune DiseaseR01NS061014 · NINDS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI TEUSCHER, CORY · 2008 to 2012
$3.1M
AUTOIMMUNE DISEASE AND NEONATAL TOLERANCER01AI041747 · NIAID · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TEUSCHER, CORY · 1997 to 2009
$1.9M
H1R Signaling and Immune Deviation in EAER01NS069628 · NINDS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI TEUSCHER, CORY · 2010 to 2014
$1.6M
Sex Chromosomes in Fetal Programming and Susceptibility to EAER01NS060901 · NINDS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI TEUSCHER, CORY · 2008 to 2010
$1.4M
NIAID NIH HHS R01 AI041747NIGMS NIH HHS P20 GM103496NIGMS NIH HHS P30 GM118228NINDS NIH HHS R01 NS036526NINDS NIH HHS R01 NS060901NINDS NIH HHS R01 NS061014NINDS NIH HHS R01 NS069628
6 · The paper itself

Abstract

Month-season of birth (M-SOB) is a risk factor in multiple chronic diseases, including multiple sclerosis (MS), where the lowest and greatest risk of developing MS coincide with the lowest and highest birth rates, respectively. To determine whether M-SOB effects in such chronic diseases as MS can be experimentally modeled, we examined the effect of M-SOB on susceptibility of C57BL/6J mice to experimental autoimmune encephalomyelitis (EAE). As in MS, mice that were born during the M-SOB with the lowest birth rate were less susceptible to EAE than mice born during the M-SOB with the highest birth rate. We also show that the M-SOB effect on EAE susceptibility is associated with differential production of multiple cytokines/chemokines by neuroantigen-specific T cells that are known to play a role in EAE pathogenesis. Taken together, these results support the existence of an M-SOB effect that may reflect seasonally dependent developmental differences in adaptive immune responses to self-antigens independent of external stimuli, including exposure to sunlight and vitamin D. Moreover, our documentation of an M-SOB effect on EAE susceptibility in mice allows for modeling and detailed analysis of mechanisms that underlie the M-SOB effect in not only MS but in numerous other diseases in which M-SOB impacts susceptibility.-Reynolds, J. D., Case, L. K., Krementsov, D. N., Raza, A., Bartiss, R., Teuscher, C. Modeling month-season of birth as a risk factor in mouse models of chronic disease: from multiple sclerosis to autoimmune encephalomyelitis.

Indexed as

Disease SusceptibilityEncephalitisHashimoto DiseaseMultiple SclerosisAnimalsBirth RateDisease Models, AnimalMiceMice, Inbred StrainsMyelin-Oligodendrocyte GlycoproteinPeptide FragmentsRetrospective StudiesRisk FactorsSeasonsMyelin-Oligodendrocyte Glycoproteinmyelin oligodendrocyte glycoprotein (35-55)Peptide FragmentsautoimmunitycytokinesEAEmonth of birthseasonal variation

Identifiers

PMID28292961
PMCPMC5434654
OpenAlexW2620793294

What OpenQuestion holds

Textmetadata
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.