Evidence map›Paper›PMID 32635261›Full record

ArticleAnimals : an open access journal from MDPI2020

Immunohistochemical Analysis of Intestinal and Central Nervous System Morphology in an Obese Animal Model (

Roberta Imperatore, Lea Tunisi, Isabella Mavaro, Livia D'Angelo, Chiara Attanasio, Omid Safari, Hamidreza Ahmadniaye Motlagh, Paolo De Girolamo, Luigia Cristino, Ettore Varricchio and 1 more

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Immunohistochemical and Physiological Research on Farm Animals.Animals : an open access journal from MDPI · 2023
    Article
  2. Article
  3. Review
  4. 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

11 authors at 5 institutions in 2 countries.

Roberta ImperatoreDepartment of Science and Technology (DST), University of Sannio, 82100 Benevento, Italy.
Lea TunisiEndocannabinoid Research Group, Institute of Biomolecular Chemistry-National Research Council (ICB-CNR), 80078 Pozzuoli, Italy.
Isabella MavaroDepartment of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80137 Naples, Italy.
Livia D'AngeloDepartment of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80137 Naples, Italy.ORCID 0000-0001-5050-642X
Chiara AttanasioDepartment of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80137 Naples, Italy.ORCID 0000-0001-5817-4087
Omid SafariDepartment of Fisheries, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran.
Hamidreza Ahmadniaye MotlaghDepartment of Fisheries, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran.ORCID 0000-0003-0659-0403
Paolo De GirolamoDepartment of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80137 Naples, Italy.
Luigia CristinoEndocannabinoid Research Group, Institute of Biomolecular Chemistry-National Research Council (ICB-CNR), 80078 Pozzuoli, Italy.
Ettore VarricchioDepartment of Science and Technology (DST), University of Sannio, 82100 Benevento, Italy.
Marina PaolucciDepartment of Science and Technology (DST), University of Sannio, 82100 Benevento, Italy.ORCID 0000-0002-1784-3843
University of Sannio · ITFerdowsi University of Mashhad · IRIstituto di Chimica Biomolecolare · ITItalian Institute of Technology · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 3,5-diiodo-L-thyronine (3,5-T2) is an endogenous metabolite of thyroid hormones, whose administration to rodents fed high-fat diet (HFD) prevents body weight increase and reverts the expression pattern of pro-inflammatory factors associated to HFD. The diet-induced obese (D.I.O.) zebrafish (Danio rerio) has been recently used as an experimental model to investigate fundamental processes underlying central and peripheral obesity-driven inflammation. Herein, we aim to understand the role of 3,5-T2 in regulating central and peripheral inflammation in D.I.O. model of zebrafish. 3,5-T2 (10 nM and 100 nM) was administered with the obesity-inducing diet (D.I.O. with 3,5-T2) or after 4 weeks of obesity-inducing diet (D.I.O. flw 3,5-T2). 3,5-T2 significantly increased the body weight and serum triglyceride levels in D.I.O. zebrafish in both conditions. Moreover, 3,5-T2 sustained or increased inflammation in the anterior (AI) and mid (MI) intestine when administered with the obesity-inducing diet, as indicated by the immunoexpression of the inflammatory markers tumor-necrosis factor-α (TNFα), cyclooxygenase 2 (COX2), calnexin, caspase 3, and proliferating cell nuclear antigen (PCNA). On the contrary, when 3,5-T2 was administered after the obesity-inducing diet, partly reverted the intestinal alteration induced by D.I.O. In addition, brain inflammation, as indicated by the increase in the activation of microglia, was detected in D.I.O. zebrafish and D.I.O. treated with 3,5-T2. These findings reveal that the effects of 3,5-T2 on fish intestine and brain can deviate from those shown in obese mammals, opening new avenues to the investigation of the potential impact of this thyroid metabolite in different diseases including obesity.

Indexed as

3,5-diiodo-L-thyroninebrain inflammationdiet-induced obesityintestinal inflammationzebrafish

Identifiers

PMID32635261
PMCPMC7401507
OpenAlexW3039566153

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.