Evidence map›Paper›PMID 41792908›Full record

ArticleJournal of neurochemistry2026

Deficiency of Tissue Nonspecific Alkaline Phosphatase Dysregulates Microglial Morphology and Function in a Mouse Model of Infantile Hypophosphatasia.

Kareem Elaswad, Yara Mashal, Iyah Nasser, Linna Almhanaa, Chloe Grabowski, Zhi Zhang

Abstract read
In one paragraph

Article in Journal of neurochemistry, 2026. 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

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.

Kareem ElaswadDepartment of Natural Sciences, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA.ORCID https://orcid.org/0009-0003-3042-1279
Yara MashalDepartment of Natural Sciences, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA.ORCID https://orcid.org/0009-0000-1861-1473
Iyah NasserDepartment of Natural Sciences, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA.ORCID https://orcid.org/0009-0007-0820-9967
Linna AlmhanaaDepartment of Natural Sciences, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA.ORCID https://orcid.org/0009-0006-0339-3673
Chloe GrabowskiDepartment of Natural Sciences, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA.ORCID https://orcid.org/0009-0004-0901-4262
Zhi ZhangDepartment of Natural Sciences, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA.ORCID https://orcid.org/0000-0001-6256-9516

Funding

University of Michigan
6 · The paper itself

Abstract

Tissue-nonspecific alkaline phosphatase (TNAP) has emerged as a crucial regulator of neuronal circuit formation and maintenance; however, the complexities of its sex- and cell type-specific roles within microglia remain largely unexplored. To address this critical knowledge gap, this study examined how TNAP deficiency differentially affects microglial morphology, function, and signaling in both male and female mice, and investigated its broader implications for neurodevelopment and disease susceptibility. Using Alpl

Indexed as

Alkaline PhosphataseHypophosphatasiaMicrogliaAnimalsDisease Models, AnimalFemaleMaleMiceMice, Inbred C57BLMice, KnockoutAlkaline PhosphataseALPL protein, mouseHypophosphatasiainflammationkynurenine pathwaymicrogliaphagocytosissenescenceTNAP

Identifiers

PMID41792908
PMCPMC12966415

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.