Evidence map›Paper›PMID 39574684›Full record

ArticlebioRxiv : the preprint server for biology2024

Multi-omics analysis in mouse primary cortical neurons reveals complex positive and negative biological interactions between constituent compounds in Centella asiatica.

Steve Chamberlin, Jonathan A Zweig, Cody J Neff, Luke Marney, Jaewoo Choi, Liping Yang, Claudia S Maier, Amala Soumyanath, Shannon McWeeney, Nora E Gray

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

10 authors.

Steve ChamberlinDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR.
Jonathan A ZweigDepartment of Neurology, Oregon Health & Science University, Portland, OR.
Cody J NeffDepartment of Neurology, Oregon Health & Science University, Portland, OR.
Luke MarneyBENFRA Botanical Dietary Supplements Research Center, Oregon Health & Science University (OHSU) Portland, OR.
Jaewoo ChoiBENFRA Botanical Dietary Supplements Research Center, Oregon Health & Science University (OHSU) Portland, OR.
Liping YangBENFRA Botanical Dietary Supplements Research Center, Oregon Health & Science University (OHSU) Portland, OR.
Claudia S MaierBENFRA Botanical Dietary Supplements Research Center, Oregon Health & Science University (OHSU) Portland, OR.
Amala SoumyanathDepartment of Neurology, Oregon Health & Science University, Portland, OR.
Shannon McWeeneyDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR.
Nora E GrayDepartment of Neurology, Oregon Health & Science University, Portland, OR.

Funding

Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
Mechanisms underlying the cognitive effects of Centella asiatica water extract and constituent compounds in the 5xFAD mouse model of Alzheimer's DiseaseU19AT010829 · NCCIH · OREGON HEALTH & SCIENCE UNIVERSITY · PI GRAY, NORA · 2020 to 2024
$6.1M
Triple Quadrupole/Linear Ion Trap LC-MS/MS for LPIS10RR027878 · NCRR · OREGON STATE UNIVERSITY · PI STEVENS, JAN FREDERIK · 2010 to 2010
$484k
NCCIH NIH HHS U19 AT010829NCRR NIH HHS S10 RR027878NIA NIH HHS P30 AG066518
6 · The paper itself

Abstract

Background: A water extract of the Ayurvedic plant Methods: Mouse primary cortical neurons were treated with CAW, or equivalent concentrations of four TT combined, eight CQA combined, or these twelve compounds combined (TTCQA). Treatment effects on the cell transcriptome (18,491 genes) and metabolome (192 metabolites) relative to vehicle control were evaluated using RNAseq and metabolomic analyses respectively. Results: Extensive differentially expressed genes (DEGs) were seen with all treatments, as well as evidence of interactions between compounds. Notably many DEGs seen with TT treatment were not observed in the TTCQA condition, possibly suggesting CQA reduced the effects of TT. Moreover, additional gene activity seen with CAW as compared to TTCQA indicate the presence of additional compounds in CAW that further modulate TTCQA interactions. Weighted Gene Correlation Network Analysis (WGCNA) identified 4 gene co-expression modules altered by treatments that were associated with extracellular matrix organization, fatty acid metabolism, cellular response to stress and stimuli, and immune function. Compound interaction patterns were seen at the eigengene level in these modules. Interestingly, in metabolomics analysis, the TTCQA treatment saw the highest number of changes in individual metabolites (20), followed by CQA (15), then TT (8) and finally CAW (3). WGCNA analysis found two metabolomics modules with significant eigenmetabolite differences for TT and CQA, and possible compound interactions at this level. Conclusions: Four gene expression modules and two metabolite modules were altered by the four types of treatments applied. This methodology demonstrated the existence of both negative and positive interactions between TT, CQA and additional compounds found in CAW on the transcriptome and metabolome of mouse primary cortical neurons.

Indexed as

caffeoylquinic acidsCentella asiaticaco-expressionmetabolomemouse primary cortical neuronsomics integrationtranscriptometriterpenes

Identifiers

PMID39574684
PMCPMC11580974

What OpenQuestion holds

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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.