Cited by 104Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia

Open access
Tsai, Andy P., Lin, Peter Bor-Chian, Dong, Chuanpeng, Moutinho, Miguel, Casali, Brad T., Liu, Yunlong, Lamb, Bruce T., Landreth, Gary E. +2 more·2021·Neurobiology of Disease

Published version of a preprint

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, robust microgliosis, neuroinflammation, and neuronal loss. Genome-wide association studies recently highlighted a prominent role for microglia in late-onset AD (LOAD). Specifically, inositol polyphosphate-5-phosphatase (INPP5D), also known as SHIP1, is selectively expressed in brain microglia and has been reported to be associated with LOAD. Although INPP5D is likely a crucial player in AD pathophysiology, its role in disease onset and progression remains unclear. We performed differential gene expression analysis to investigate INPP5D expression in AD and its association with plaque density and microglial markers using transcriptomic (RNA-Seq) data from the Accelerating Medicines Partnership for Alzheimer's Disease (AMP-AD) cohort. We also performed quantitative real-time PCR, immunoblotting, and immunofluorescence assays to assess INPP5D expression in the 5xFAD amyloid mouse model. Differential gene expression analysis found that INPP5D expression was upregulated in LOAD and positively correlated with amyloid plaque density. In addition, in 5xFAD mice, Inpp5d expression increased as the disease progressed, and selectively in plaque-associated microglia. Increased Inpp5d expression levels in 5xFAD mice were abolished entirely by depleting microglia with the colony-stimulating factor receptor-1 antagonist PLX5622. Our findings show that INPP5D expression increases as AD progresses, predominantly in plaque-associated microglia. Importantly, we provide the first evidence that increased INPP5D expression might be a risk factor in AD, highlighting INPP5D as a potential therapeutic target. Moreover, we have shown that the 5xFAD mouse model is appropriate for studying INPP5D in AD.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.nbd.2021.105303

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • INPP5D expression increases with progression of clinical late-onset Alzheimer's disease and with aging in the 5XFAD mouse model.

    “Additionally, INPP5D expression increases with progression of clinical LOAD and with aging in the 5XFAD mouse model.15”

    From Microglial <i>INPP5D</i> limits plaque formation and glial reactivity in the PSAPP mouse model of Alzheimer's disease (2023) · cites this paper as [15]

    The Results section ('INPP5D expression levels are increased in AD') reports higher expression in LOAD patients than in controls in three brain regions, and higher expression than in MCI subjects in the inferior frontal gyrus. It does not establish that expression increases as clinical LOAD progresses within patients. The mouse-model Results section reports increased Inpp5d expression at multiple ages in 5xFAD mice compared with wild-type controls, supporting the aging-related part of the claim. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Upregulated INPP5D levels in peripheral myeloid cells and the brain of LOAD patients indicate that INPP5D is involved in AD pathogenesis.

    “Upregulated INPP5D levels in the peripheral myeloid cells and the brain of LOAD patients indicate that INPP5D is involved in AD pathogenesis.8,9”

    From <i>INPP5D</i> deficiency attenuates amyloid pathology in a mouse model of Alzheimer's disease (2023) · cites this paper as [8]

    The Results section reports increased INPP5D expression in several brain regions of patients with late-onset AD, and the Conclusions link INPP5D to AD pathophysiology. The paper does not report upregulated INPP5D in peripheral myeloid cells from those patients; its myeloid-cell findings concern brain microglia, including in mice. No page numbers are available in our copy. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • One study found elevated INPP5D mRNA expression in human AD brains that positively correlated with amyloid plaque density, and elevated Inpp5d mRNA and protein expression in 5xFAD mice throughout disease progression.

    “One study found elevated INPP5D mRNA expression in human AD brains that positively correlated with amyloid plaque density, and elevated Inpp5d mRNA and protein expression in 5xFAD mice throughout disease progression [168].”

    From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [168]

    The Results sections report increased INPP5D expression in several brain regions of patients with late-onset AD and a positive association with amyloid plaque density. In 5xFAD mice, mRNA was elevated at four, six, eight, and twelve months, but protein was assessed only at four and eight months, with p=0.06. Thus, the claim that both mRNA and protein were elevated throughout disease progression goes beyond the reported measurements. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • SHIP1 protein expression was identified in plaque-associated microglia of 5xFAD mice, with phagocytic microglia showing a reduction of Inpp5d expression compared to non-phagocytic microglia.

    “SHIP1 protein expression was identified in plaque-associated microglia of 5xFAD mice, with phagocytic microglia showing a reduction of Inpp5d expression compared to non-phagocytic microglia [168, 169].”

    From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [168]

    The Results section reports INPP5D (SHIP1) protein in plaque-associated microglia of 5xFAD mice. It also reports lower Inpp5d expression in phagocytic than non-phagocytic microglia, but that comparison comes from transcriptomic data on wild-type mice injected with labeled apoptotic neurons, not from 5xFAD mice. No page numbers are provided in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • INPP5D plays a role in AD pathogenesis.

    “INPP5D plays a role in AD pathogenesis, and remains a potential target for microglia-focused AD therapies,15”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 20

  1. Allen M, Carrasquillo MM, Funk C, Heavner BD, Zou F, Younkin CS, (2016). Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases. Sci Data 3: 160089. PMC5058336 27727239
  2. Beckmann ND, Lin WJ, Wang M, Cohain AT, Charney AW, Wang P, (2020). Multiscale causal networks identify VGF as a key regulator of Alzheimer’s disease. Nat Commun 11: 3942. 32770063 PMC7414858
  3. Bennett DA, Buchman AS, Boyle PA, Barnes LL, Wilson RS, & Schneider JA (2018). Religious Orders Study and Rush Memory and Aging Project. J Alzheimers Dis 64: S161– S189. 29865057 PMC6380522
  4. Casali BT, MacPherson KP, Reed-Geaghan EG, & Landreth GE (2020). Microglia depletion rapidly and reversibly alters amyloid pathology by modification of plaque compaction and morphologies. Neurobiol Dis 142: 104956. PMC7526856 32479996
  5. De Jager PL, Ma Y, McCabe C, Xu J, Vardarajan BN, Felsky D, (2018). A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research. Sci Data 5: 180142. PMC6080491 30084846
  6. Farfel JM, Yu L, Buchman AS, Schneider JA, De Jager PL, & Bennett DA (2016). Relation of genomic variants for Alzheimer disease dementia to common neuropathologies. Neurology 87: 489– 496. 27371493 PMC4970661
  7. Jing H, Zhu JX, Wang HF, Zhang W, Zheng ZJ, Kong LL, (2016). INPP5D rs35349669 polymorphism with late-onset Alzheimer’s disease: A replication study and meta-analysis. Oncotarget 7: 69225–69230. PMC5342472 27750211
  8. Kaiser T, & Feng G (2019). Tmem119-EGFP and Tmem119-CreERT2 Transgenic Mice for Labeling and Manipulating Microglia. eNeuro 6. PMC6712208 31371457
  9. Karch CM, & Goate AM (2015). Alzheimer’s disease risk genes and mechanisms of disease pathogenesis. Biol Psychiatry 77: 43– 51. 24951455 PMC4234692
  10. Mandrekar-Colucci S, & Landreth GE (2010). Microglia and inflammation in Alzheimer’s disease. CNS Neurol Disord Drug Targets 9: 156– 167. 20205644 PMC3653290
  11. Morris JC (1993). The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology 43: 2412– 2414. 8232972
  12. Peng Q, Malhotra S, Torchia JA, Kerr WG, Coggeshall KM, & Humphrey MB (2010). TREM2- and DAP12-dependent activation of PI3K requires DAP10 and is inhibited by SHIP1. Science signaling 3: ra38. PMC2900152 20484116
  13. Radde R, Bolmont T, Kaeser SA, Coomaraswamy J, Lindau D, Stoltze L, (2006). Abeta42driven cerebral amyloidosis in transgenic mice reveals early and robust pathology. EMBO Rep 7: 940– 946. 16906128 PMC1559665
  14. Readhead B, Haure-Mirande JV, Funk CC, Richards MA, Shannon P, Haroutunian V, (2018). Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus. Neuron 99: 64–82 e67. PMC6551233 29937276
  15. Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, (2015). limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 43: e47. PMC4402510 25605792
  16. Salih DA, Bayram S, Guelfi S, Reynolds RH, Shoai M, Ryten M, (2019). Genetic variability in response to amyloid beta deposition influences Alzheimer’s disease risk. Brain Commun 1: fcz022. PMC7145452 32274467
  17. Satoh J, Kino Y, Asahina N, Takitani M, Miyoshi J, Ishida T, (2016). TMEM119 marks a subset of microglia in the human brain. Neuropathology 36: 39– 49. 26250788
  18. Viernes DR, Choi LB, Kerr WG, & Chisholm JD (2014). Discovery and development of small molecule SHIP phosphatase modulators. Med Res Rev 34: 795– 824. 24302498 PMC4991215
  19. Wang M, Beckmann ND, Roussos P, Wang E, Zhou X, Wang Q, (2018). The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer’s disease. Sci Data 5: 180185. PMC6132187 30204156
  20. Yao X, Risacher SL, Nho K, Saykin AJ, Wang Z, Shen L, (2019). Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene. Neurobiol Aging 81: 213– 221. 31319229 PMC6732252

Cited by

Sorted by citations

Authors
Tsai, A. P., Lin, P. B.-C., Dong, C., Moutinho, M., Casali, B. T., Liu, Y., Lamb, B. T., Landreth, G. E., Oblak, A. L., & Nho, K.
Affiliations
Indiana University School of Medicine (US)
Corresponding author
  • Oblak, Adrian L.
  • Nho, Kwangsik
Venue
Neurobiology of Disease
Publisher
Elsevier BV
Published
2021-06
Volume
153
Pages
105303
ISSN
0969-9961 (ISSN-L)
OpenAlex
W3130754838
Cited by
104
References
10
Citations by year
2026: 10 · 2025: 17 · 2024: 16 · 2023: 28 · 2022: 23 · 2021: 10
FWCI
8.31
Type
journal article
Language
en
Open access
Locations
  • Neurobiology of Disease (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Research Square (acceptedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • IUScholarWorks (Indiana University) (submittedVersion)
Funders
  • National Institute on Aging (K01 AG054753, R03 AG063250, U54 AG054345, RF1 AG050597, RF1 AG051495, K?N)
  • National Institutes of Health (NLM R01 LM012535)
Topics
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
INPP5D, SHIP1, Alzheimer's disease, late-onset Alzheimer's disease, amyloid plaques, plaque-associated microglia, microglial activation, microglia depletion, PLX5622, 5xFAD mice, neuroinflammation, gene expression, therapeutic target
MeSH terms
Phosphatidylinositol-3,4,5-Trisphosphate 5-Phosphatases, RNA-Seq, Aged, Aged, 80 and over, Alzheimer Disease, Animals, Female, Humans, Male, Mice, Transgenic, RNA, Messenger, Microglia, Mice, Plaque, Amyloid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review