All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

A sex-stratified analysis of neuroimmune gene expression signatures in Alzheimer's disease brains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F23%3A00079785" target="_blank" >RIV/00159816:_____/23:00079785 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11357-022-00664-7" target="_blank" >https://link.springer.com/article/10.1007/s11357-022-00664-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11357-022-00664-7" target="_blank" >10.1007/s11357-022-00664-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A sex-stratified analysis of neuroimmune gene expression signatures in Alzheimer's disease brains

  • Original language description

    Alzheimer&apos;s disease (AD) is the most common form of progressively disabling dementia. The chitinases CHI3L1 and CHI3L2 have long been known as biomarkers for microglial and astrocytic activation in neurodegeneration. Here, we collected microarray datasets from the National Center for Biotechnology Information (NCBI) brain samples of non-demented controls (NDC) (n = 460), and of deceased patients with AD (n = 697). The AD patients were stratified according to sex. Comparing the high CHI3L1 and CHI3L2 expression group (75(th) percentile), and low CHI3L1 and CHI3L2 expression group (25(th) percentile), we obtained eight signatures according to the sex of patients and performed a genomic deconvolution analysis using neuroimmune signatures (NIS) belonging to twelve cell populations. Expression analysis revealed significantly higher CHI3L1 and CHI3L2 expression in AD compared with NDC, and positive correlations of these genes with GFAP and TMEM119. Furthermore, deconvolution analysis revealed that CHI3L1 and CHI3L2 high expression was associated with inflammatory signatures in both sexes. Neuronal activation profiles were significantly activated in AD patients with low CHI3L1 and CHI3L2 expression levels. Furthermore, gene ontology analysis of common genes regulated by the two chitinases unveiled immune response as a main biological process. Finally, microglia NIS significantly correlated with CHI3L2 expression levels and were more than 98% similar to microglia NIS determined by CHI3L1. According to our results, high levels of CHI3L1 and CHI3L2 in the brains of AD patients are associated with inflammatory transcriptomic signatures. The high correlation between CHI3L1 and CHI3L2 suggests strong co-regulation.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30227 - Geriatrics and gerontology

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000492" target="_blank" >EF15_003/0000492: Unveiling the molecular determinants of agingto design new therapeutics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    GeroScience

  • ISSN

    2509-2715

  • e-ISSN

    2509-2723

  • Volume of the periodical

    45

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    523-541

  • UT code for WoS article

    000856603400002

  • EID of the result in the Scopus database