Evidence map›Paper›PMID 36781072›Full record

ArticleThe Journal of nutrition2023

Eicosapentaenoic Acid Protects against Metabolic Impairments in the APPswe/PS1dE9 Alzheimer's Disease Mouse Model.

Mahsa Yavari, Latha Ramalingam, Breanna N Harris, Chanaka Nadeeshan Kahathuduwa, Angela Chavira, Caroline Biltz, Logan Mounce, Kaylee Alers Maldonado, Shane Scoggin, Yujiao Zu and 4 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of nutrition, 2023. 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
1.5field-weighted citation impact, top 21% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  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

14 authors at 2 institutions in 2 countries.

Mahsa YavariDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA; Obesity Research Institute, Office of Research & Innovation, Texas Tech University, Lubbock, TX, USA.
Latha RamalingamDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.
Breanna N HarrisObesity Research Institute, Office of Research & Innovation, Texas Tech University, Lubbock, TX, USA; Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Chanaka Nadeeshan KahathuduwaObesity Research Institute, Office of Research & Innovation, Texas Tech University, Lubbock, TX, USA; Department of Laboratory Science and Primary Care, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Angela ChaviraDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.
Caroline BiltzDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.
Logan MounceDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Kaylee Alers MaldonadoDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Shane ScogginDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.
Yujiao ZuDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA; Obesity Research Institute, Office of Research & Innovation, Texas Tech University, Lubbock, TX, USA.
Nishan Sudheera KalupahanaDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA; Obesity Research Institute, Office of Research & Innovation, Texas Tech University, Lubbock, TX, USA; Department of Physiology, University of Peradeniya, Sri Lanka.
Mohammad YosofvandDepartment of Mechanical Engineering, Texas Tech University, Lubbock, TX, USA.
Hanna MoussaDepartment of Mechanical Engineering, Texas Tech University, Lubbock, TX, USA.
Naima Moustaid-MoussaDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA; Obesity Research Institute, Office of Research & Innovation, Texas Tech University, Lubbock, TX, USA. Electronic address: naima.moustaid-moussa@ttu.edu.
Texas Tech University · USUniversity of Peradeniya · LK

Funding

Anti-obesity effects of omega 3 fatty acids in brown adipose tissueR15AT008879 · NCCIH · TEXAS TECH UNIVERSITY · PI MOUSTAID-MOUSSA, NAIMA · 2016 to 2018
$799k
NCCIH NIH HHS R15 AT008879
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is an age-related neurodegenerative disease characterized by amyloid-β (Aβ) plaques. Systemic inflammation and obesity may exacerbate AD pathogenesis. We previously reported anti-inflammatory and anti-obesity effects of EPA in mice.

objectivesWe aimed to determine whether EPA reduces obesity-associated metabolic dysfunctions and Aβ accumulation in AD amyloidogenic mice.

methodsTwo-mo-old APPswe/PS1dE9 transgenic (TG) mice and non-TG littermates were randomly assigned to low fat (LF; 10% kcal fat), high fat (HF; 45% kcal fat), or EPA (36 g/kg)-supplemented HF diets. Body composition, glucose tolerance, and energy expenditure were measured, and serum and brain metabolic markers were tested 38 wk postintervention. Outcomes were statistically analyzed via 3-factor ANOVA, modeling genotype, sex, and diet interactions.

resultsHF-fed males gained more weight than females (Δ = 61 mg; P < 0.001). Compared with LF, HF increased body weights of wild-type (WT) males (Δ = 31 mg; P < 0.001). EPA reduced HF-induced weight gain in WT males (Δ = 24 mg; P = 0.054) but not in females. HF mice showed decreased glucose clearance and respiratory energy compared with LF-fed groups (Δ = -1.31 g/dL; P < 0.001), with no significant effects of EPA. However, EPA conferred metabolic improvements by decreasing serum leptin and insulin (Δ = -2.51 g/mL and Δ = -0.694 ng/mL, respectively compared with HF, P ≤ 0.05) and increasing adiponectin (Δ = 21.6 ng/mL; P < 0.001). As we expected, TG mice expressed higher serum and brain Aβ than WT mice (Δ = 0.131 ng/mL; P < 0.001 and Δ = 0.56%; P < 0.01, respectively), and EPA reduced serum Aβ

conclusionsTo our knowledge, this is the first report that EPA reduces serum Aβ

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesAmyloid beta-PeptidesAnimalsDisease Models, AnimalEicosapentaenoic AcidGlucoseMaleMiceMice, Inbred C57BLMice, TransgenicObesityAmyloid beta-PeptidesEicosapentaenoic AcidGlucoseAlzheimer’s diseaseamyloid-betaAPP/PS1 mouse modelEPAobesity

Identifiers

PMID36781072
PMCPMC10273166
OpenAlexW4318680470

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.