Evidence map›Paper›PMID 41496612›Full record

ArticleComprehensive Physiology2026

Presenilin L166P Mutation, a Model of Familial Alzheimer's Disease, Leads to Early Onset Bone Loss.

Vidyani Suryadevara, Connor J Krehbial, Anuradha K Valiya, Melinda Vang, Julian Balanta-Melo, Pierre P Eleniste, Sumana Posritong, Jung Min Hong, Katie Chester, Gabriel M Pagnotti and 3 more

Abstract read
In one paragraph

Article in Comprehensive Physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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

13 authors.

Vidyani SuryadevaraDepartment of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, Indiana, USA.ORCID 0000-0003-4081-2989
Connor J KrehbialDepartment of Biomedical Engineering, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Anuradha K ValiyaDepartment of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Melinda VangDepartment of Biomedical and Applied Sciences, School of Dentistry, Indiana University, Indianapolis, Indiana, USA.
Julian Balanta-MeloDepartment of Endocrine, Neoplasia and Hormonal Disorders, University of Texas- MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-0138-9199
Pierre P ElenisteDepartment of Biomedical and Applied Sciences, School of Dentistry, Indiana University, Indianapolis, Indiana, USA.
Sumana PosritongDepartment of Biomedical and Applied Sciences, School of Dentistry, Indiana University, Indianapolis, Indiana, USA.
Jung Min HongDepartment of Biomedical and Applied Sciences, School of Dentistry, Indiana University, Indianapolis, Indiana, USA.
Katie ChesterDepartment of Biomedical and Applied Sciences, School of Dentistry, Indiana University, Indianapolis, Indiana, USA.
Gabriel M PagnottiDepartment of Endocrine, Neoplasia and Hormonal Disorders, University of Texas- MD Anderson Cancer Center, Houston, Texas, USA.
Teresita BellidoIndiana Center for Musculoskeletal Health, School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Monte S WillisDepartment of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Angela BruzzanitiDepartment of Biomedical and Applied Sciences, School of Dentistry, Indiana University, Indianapolis, Indiana, USA.

Funding

Uncovering the dual anabolic and anti-catabolic effects of Pyk2 inhibition on bone massR01AR080076 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Angela Bruzzaniti · 2022 to 2026
$2.4M
Regulation of Osteoblast Function by Megakaryocytes: Key Signaling ProteinsR01AR060332 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI BRUZZANITI, ANGELA, KACENA, MELISSA A · 2011 to 2015
$1.7M
Bill and Melinda Gates FoundationCancer Prevention and Research Institute of Texas 00011633NIAMS NIH HHS R01 AR060332NIAMS NIH HHS R01 AR080076NIH HHS R01AR060332NIH HHS R01AR080076
6 · The paper itself

Abstract

Accelerated bone loss has been reported in the early stages of Alzheimer's disease (AD) as indicated by reduced bone mineral density and increased fracture risk in these patients, compared to healthy individuals. In the present study, we investigated bone loss in mouse models of familial Alzheimer's disease harboring the Presenilin 1 (L166P) knock-in mutation (PSEN1 KI), with or without the human amyloid precursor protein transgene (hAPP Tg+) known to induce brain amyloid pathology by 6 months. Female and not male 12-month PSEN1/hAPP Tg+ mice exhibited reduced whole-body bone mineral density and bone mineral content, compared to sex-matched controls. Consistent with PSEN1 L166P driving the phenotype, female PSEN1 KI mice lacking the hAPP transgene also displayed low bone mass with a reduction in bone microarchitecture observed as early as 1 month of age. Correspondingly, PSEN1 KI mice exhibit reduced cortical and trabecular bone mass compared to age- and sex-matched control mice. The loss of bone microarchitecture was largely attributed to a reduction in bone formation as indicated by decreases in serum P1NP levels and osteoblast ALP activity and mRNA expression in vitro. At the ages examined, PSEN1 KI mice exhibited increased follicle stimulating hormone (FSH) levels, which is known to cause a decrease in bone mass. Western blotting also identified both PSEN1 and amyloid-beta protein expression in bone and brain tissue. Taken together, the data indicate that female-specific bone loss in familial AD is potentially due to the direct actions of mutant PSEN1 in bone cells combined with systemic crosstalk caused by brain-expressed PSEN1 L116P.

Indexed as

Alzheimer DiseasePresenilin-1Amyloid beta-Protein PrecursorAnimalsBone DensityDisease Models, AnimalFemaleHumansMaleMiceMice, TransgenicMutationAmyloid beta-Protein PrecursorPresenilin-1agingAlzheimer's diseasebone massmechanical functionpresenilin 1sex hormones

Identifiers

PMID41496612
PMCPMC12775720

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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.