Evidence map›Paper›PMID 38724582›Full record

ArticleNPJ systems biology and applications2024

Alzheimer's disease rewires gene coexpression networks coupling different brain regions.

Sanga Mitra, Kailash Bp, Srivatsan C R, Naga Venkata Saikumar, Philge Philip, Manikandan Narayanan

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Sanga Mitra *Bioinformatics and Integrative Data Science group, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India.
Kailash Bp *Bioinformatics and Integrative Data Science group, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India.ORCID http://orcid.org/0000-0002-1501-4881
Srivatsan C RBioinformatics and Integrative Data Science group, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India.ORCID http://orcid.org/0009-0000-4380-7304
Naga Venkata SaikumarBioinformatics and Integrative Data Science group, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India.
Philge PhilipCentre for Integrative Biology and Systems Medicine, IIT Madras, Chennai, India.
Manikandan NarayananBioinformatics and Integrative Data Science group, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India. nmanik@cse.iitm.ac.in.ORCID http://orcid.org/0000-0002-8490-4087

Funding

Wellcome Trust
6 · The paper itself

Abstract

Connectome studies have shown how Alzheimer's disease (AD) disrupts functional and structural connectivity among brain regions. But the molecular basis of such disruptions is less studied, with most genomic/transcriptomic studies performing within-brain-region analyses. To inspect how AD rewires the correlation structure among genes in different brain regions, we performed an Inter-brain-region Differential Correlation (Inter-DC) analysis of RNA-seq data from Mount Sinai Brain Bank on four brain regions (frontal pole, superior temporal gyrus, parahippocampal gyrus and inferior frontal gyrus, comprising 264 AD and 372 control human post-mortem samples). An Inter-DC network was assembled from all pairs of genes across two brain regions that gained (or lost) correlation strength in the AD group relative to controls at FDR 1%. The differentially correlated (DC) genes in this network complemented known differentially expressed genes in AD, and likely reflects cell-intrinsic changes since we adjusted for cell compositional effects. Each brain region used a distinctive set of DC genes when coupling with other regions, with parahippocampal gyrus showing the most rewiring, consistent with its known vulnerability to AD. The Inter-DC network revealed master dysregulation hubs in AD (at genes ZKSCAN1, SLC5A3, RCC1, IL17RB, PLK4, etc.), inter-region gene modules enriched for known AD pathways (synaptic signaling, endocytosis, etc.), and candidate signaling molecules that could mediate region-region communication. The Inter-DC network generated in this study is a valuable resource of gene pairs, pathways and signaling molecules whose inter-brain-region functional coupling is disrupted in AD, thereby offering a new perspective of AD etiology.

Indexed as

Alzheimer DiseaseBrainGene Regulatory NetworksAgedConnectomeFemaleGene Expression ProfilingHumansMaleTranscriptome

Identifiers

PMID38724582
PMCPMC11082197

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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.