Evidence map›Paper›PMID 33668314›Full record

ReviewInternational journal of molecular sciences2021

Hypothalamic Microglial Heterogeneity and Signature under High Fat Diet-Induced Inflammation.

Natália Ferreira Mendes, Carlos Poblete Jara, Ariane Maria Zanesco, Eliana Pereira de Araújo

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Hypothalamic Regulation of Obesity.International journal of molecular sciences · 2021
    Article
  11. Article
  12. 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

4 authors.

Natália Ferreira MendesFaculty of Nursing, University of Campinas, Campinas 13083-887, Brazil.ORCID 0000-0001-9032-1411
Carlos Poblete JaraFaculty of Nursing, University of Campinas, Campinas 13083-887, Brazil.ORCID 0000-0001-5444-721X
Ariane Maria ZanescoLaboratory of Cell Signaling, Obesity and Comorbidities Research Center, University of Campinas, Campinas 13083-864, Brazil.
Eliana Pereira de AraújoFaculty of Nursing, University of Campinas, Campinas 13083-887, Brazil.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/07607-8
6 · The paper itself

Abstract

Under high-fat feeding, the hypothalamus atypically undergoes pro-inflammatory signaling activation. Recent data from transcriptomic analysis of microglia from rodents and humans has allowed the identification of several microglial subpopulations throughout the brain. Numerous studies have clarified the roles of these cells in hypothalamic inflammation, but how each microglial subset plays its functions upon inflammatory stimuli remains unexplored. Fortunately, these data unveiling microglial heterogeneity have triggered the development of novel experimental models for studying the roles and characteristics of each microglial subtype. In this review, we explore microglial heterogeneity in the hypothalamus and their crosstalk with astrocytes under high fat diet-induced inflammation. We present novel currently available ex vivo and in vivo experimental models that can be useful when designing a new research project in this field of study. Last, we examine the transcriptomic data already published to identify how the hypothalamic microglial signature changes upon short-term and prolonged high-fat feeding.

Indexed as

TranscriptomeAnimalsAstrocytesDiet, High-FatHumansHypothalamusInflammationMicrogliagliosishigh-fat diethypothalamusmicrogliaobesitytranscriptomic

Identifiers

PMID33668314
PMCPMC7956484

What OpenQuestion holds

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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.