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Gene expression profile and cytokine analysis in experimental autoimmune encephalomyelitis (EAE) in AVP deficient rats

2019· article· en· W3175152693 on OpenAlexaff
Andrés Quintanar‐Stephano, Verónica Viñuela‐Berni, N. Macías-Segura, Fernando Valdez‐Urias, Kálmán Kovács

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsSt. Michael's Hospital
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsExperimental autoimmune encephalomyelitisImmunologyImmune systemMultiple sclerosisMedicineMyelin oligodendrocyte glycoproteinCytokineAutoimmune diseaseAutoimmunityEndocrinologyInternal medicineAntibody

Abstract

fetched live from OpenAlex

Introduction Human Multiple Sclerosis (MS) is a medically important disease. MS and its experimental autoimmune encephalomyelitis (EAE) paradigm are central nervous system demyelinizing diseases in which the immune system is directly involved. The pursuit for new treatments for MS still as an important goal for research. The use of the EAE animals to study the immune mechanisms that mediate the disease still being the best strategy to deep into the immune‐neuroendocrine interactions during the pathogenesis. Previously we have demonstrated that neurointermediate pituitary lobectomy (NIL) decreases humoral and cell‐mediated immune responses and that AVP is directly involved. Nevertheless, the role of AVP has not been entirely clarified. Objective To investigate the mechanism by which AVP deficiency (by NIL) and desmopressin (DP, a synthetic analog of AVP) affects the development of the clinical signs, the immune response and gene expression profile in the EAE. Methods Female Lewis rats were divided into intact control (IC), EAE immunized, NIL and NIL treated with desmopressin (NIL+DP). Except the IC, the remaining groups were immunized for EAE. The EAE was induced by encephalitogen subcutaneous injection. Animals were sacrificed at the peak of the disease (15 days after immunization). EAE clinical signs, cytokine serum profiles (IL‐17A, IL‐4, IL‐2, IL‐10, IL‐6, TNF‐α and INF‐γ) (flow cytometry) and spleen gene expression profile (microarray) were evaluated. DP treatment started 3 days before immunization. Results As compared with the EAE group, NIL animals developed just a mild clinical signs of EAE and significant decreased IFN‐γ and IL‐17 levels. NIL+DP treated animals restored its susceptibility to EAE clinical signs, whereas no‐significant differences on cytokine levels occurred. Significant differences in gene expression profile among groups were evident; in the NIL group the expression pattern of the TGF‐β pathway was down‐regulated as compared with the EAE group, whereas in the NIL+DP group the same genes were up‐regulated. Conclusions Findings add novel data indicating that directly AVP plays a crucial role in regulating the immune responses and suggests that AVP receptor blockers may be used for the MS treatment and possibly autoimmune diseases and other inflammatory processes. Support or Funding Information Supported by UAA‐PIFF14‐1 and CONACYT‐221262 (AQS). México. VVB: CONACT Doctoral scholarship. NMS: CONACYT post doctoral Fellow. México. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.256
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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