Evidence map›Paper›PMID 39005334›Full record

ArticlebioRxiv : the preprint server for biology2024

Acarbose ameliorates Western diet-induced metabolic and cognitive impairments in the 3xTg mouse model of Alzheimer's disease.

Michelle M Sonsalla, Reji Babygirija, Madeline Johnson, Samuel Cai, Mari Cole, Chung-Yang Yeh, Isaac Grunow, Yang Liu, Diana Vertein, Mariah F Calubag and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Michelle M Sonsalla
Reji Babygirija
Madeline Johnson
Samuel Cai
Mari Cole
Chung-Yang Yeh
Isaac Grunow
Yang Liu
Diana Vertein
Mariah F Calubag
Michaela E Trautman
Cara L Green
Michael J Rigby
Luigi Puglielli

Funding

Biology of Aging and Age-Related Diseases Training GrantT32AG000213 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Rozalyn M. Anderson, Sanjay Asthana · 1991 to 2026
$9.9M
Spastic paraplegia, neurodegeneration and autism: possible role for AT- 1/SLC33A1?R01NS094154 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI Luigi Puglielli · 2015 to 2026
$4.3M
Creating a region- specific biomolecular atlas of the brain of Alzheimer’s diseaseR01AG078794 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI, Luigi Puglielli · 2022 to 2026
$3.7M
The regulation of cancer and aging by methionineR01AG084156 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI VINCENT L. CRYNS, JOHN M DENU · 2023 to 2026
$2.5M
The regulation of health and longevity by branched-chain amino acidsRF1AG056771 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LAMMING, DUDLEY WILLIAM · 2023 to 2023
$2.1M
Comparative analysis of geroprotective interventions in established and novel mouse models of Alzheimer's diseaseR01AG062328 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LAMMING, DUDLEY WILLIAM, MERRINS, MATTHEW J. · 2018 to 2022
$2.0M
Safer mTOR inhibition for human geroprotectionU01AG081482 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Adam R Konopka, Dudley William Lamming · 2023 to 2026
$1.8M
Dietary regulation of the hepatic epigenomeR01DK125859 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI DENU, JOHN M, LAMMING, DUDLEY WILLIAM · 2021 to 2023
$1.8M
Regulation of cellular senescence and metabolic health by dietary proteinF31AG082504 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CALUBAG, MARIAH · 2023 to 2025
$146k
Dietary Interventions in Alzheimer’s DiseaseF31AG081115 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BABYGIRIJA, REJI · 2023 to 2024
$102k
Investigating Mechanisms of Isoleucine Restriction as an Effective Geroprotective InterventionsF32AG077916 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI YEH, CHUNG-YANG · 2022 to 2023
$102k
Distinct roles for calories, fasting, and mTOR in a calorie restricted dietF31AG066311 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI PAK, HEIDI HAYANG · 2019 to 2021
$92k
BLRD VA I01 BX004031BLRD VA IS1 BX005524NIA NIH HHS F31 AG066311NIA NIH HHS F31 AG081115NIA NIH HHS F31 AG082504NIA NIH HHS F32 AG077916NIA NIH HHS F99 AG083290NIA NIH HHS R01 AG062328NIA NIH HHS R01 AG078794NIA NIH HHS R01 AG084156NIA NIH HHS RF1 AG056771NIA NIH HHS T32 AG000213NIDDK NIH HHS R01 DK125859NINDS NIH HHS R01 NS094154
6 · The paper itself

Abstract

Age is the greatest risk factor for Alzheimer's disease (AD) as well as for other disorders that increase the risk of AD such as diabetes and obesity. There is growing interest in determining if interventions that promote metabolic health can prevent or delay AD. Acarbose is an anti-diabetic drug that not only improves glucose homeostasis, but also extends the lifespan of wild-type mice. Here, we test the hypothesis that acarbose will not only preserve metabolic health, but also slow or prevent AD pathology and cognitive deficits in 3xTg mice, a model of AD, fed either a Control diet or a high-fat, high-sucrose Western diet (WD). We find that acarbose decreases the body weight and adiposity of WD-fed 3xTg mice, increasing energy expenditure while also stimulating food consumption, and improves glycemic control. Both male and female WD-fed 3xTg mice have worsened cognitive deficits than Control-fed mice, and these deficits are ameliorated by acarbose treatment. Molecular and histological analysis of tau and amyloid pathology identified sex-specific effects of acarbose which are uncoupled from the dramatic improvements in cognition, suggesting that the benefits of acarbose on AD are largely driven by improved metabolic health. In conclusion, our results suggest that acarbose may be a promising intervention to prevent, delay, or even treat AD, especially in individuals consuming a Western diet.

Identifiers

PMID39005334
PMCPMC11244897

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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.