Evidence map›Paper›PMID 35057526›Full record

ArticleNutrients2022

Sex Differences in Fish Oil and Olanzapine Effects on Gut Microbiota in Diet-Induced Obese Mice.

Mostafa M Abbas, Paul Soto, Latha Ramalingam, Yasser El-Manzalawy, Halima Bensmail, Naima Moustaid-Moussa

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Dietary approaches for normalizing dysbiosis induced by high-fat, obesogenic diets.Current opinion in clinical nutrition and metabolic care · 2023
    Review
  3. 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

6 authors at 4 institutions in 2 countries.

Mostafa M AbbasDepartment of Translational Data Science and Informatics, Geisinger, Danville, PA 17822, USA.
Paul SotoDepartment of Nutritional Sciences, Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.
Latha RamalingamDepartment of Nutritional Sciences, Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.ORCID 0000-0002-4856-7327
Yasser El-ManzalawyDepartment of Translational Data Science and Informatics, Geisinger, Danville, PA 17822, USA.
Halima BensmailQatar Computing Research Institute, Hamad Bin Khalifa University, Doha 5825, Qatar.
Naima Moustaid-MoussaDepartment of Nutritional Sciences, Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA.ORCID 0000-0002-7508-8030
Geisinger Medical Center · USTexas Tech University · USHamad bin Khalifa University · QAPennington Biomedical Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children are prescribed second-generation antipsychotic (SGA) medications, such as olanzapine (OLZ) for FDA-approved and "off-label" indications. The long-term impact of early-life SGA medication exposure is unclear. Olanzapine and other SGA medications are known to cause excessive weight gain in young and adult patients, suggesting the possibility of long-term complications associated with the use of these drugs, such as obesity, diabetes, and heart disease. Further, the weight gain effects of OLZ have previously been shown to depend on the presence of gut bacteria and treatment with OLZ, which shifts gut bacteria toward an "obesogenic" profile. The purpose of the current study was to evaluate changes in gut bacteria in adult mice following early life treatment with OLZ and being fed either a high-fat diet or a high-fat diet supplemented with fish oil, which has previously been shown to counteract gut dysbiosis, weight gain, and inflammation produced by a high-fat diet. Female and male C57Bl/6J mice were fed a high fat diet without (HF) or with the supplementation of fish oil (HF-FO) and treated with OLZ from postnatal day (PND) 37-65 resulting in four groups of mice: mice fed a HF diet and treated with OLZ (HF-OLZ), mice fed a HF diet and treated with vehicle (HF), mice fed a HF-FO diet and treated with OLZ (HF-FO-OLZ), and mice fed a HF-FO diet and treated with vehicle (HF-FO). Following euthanasia at approximately 164 days of age, we determined changes in gut bacteria populations and serum LPS binding protein, an established marker of gut inflammation and dysbiosis. Our results showed that male HF-FO and HF-FO-OLZ mice had lower body weights, at sacrifice, compared to the HF group, with a comparable body weight across groups in female mice. HF-FO and HF-FO-OLZ male groups also exhibited lower serum LPS binding protein levels compared to the HF group, with no differences across groups in female mice. Gut microbiota profiles were also different among the four groups; the Bacteroidetes-to-Firmicutes (B/F) ratio had the lowest value of 0.51 in the HF group compared to 0.6 in HF-OLZ, 0.9 in HF-FO, and 1.1 in HF-FO-OLZ, with no differences in female mice. In conclusion, FO reduced dietary obesity and its associated inflammation and increased the B/F ratio in male mice but did not benefit the female mice. Although the weight lowering effects of OLZ were unexpected, FO effects persisted in the presence of olanzapine, demonstrating its potential protective effects in male subjects using antipsychotic drugs.

Indexed as

Sex CharacteristicsAnimalsBody WeightDietary SupplementsDiet, High-FatFemaleFish OilsGastrointestinal MicrobiomeMaleMiceMice, Inbred C57BLMice, ObeseObesityOlanzapineWeight GainFish OilsOlanzapinefish oilobesitysecond-generation antipsychotic (SGA)

Identifiers

PMID35057526
PMCPMC8780445
OpenAlexW4206129643

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.