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Integrated transcriptomic profiling combined with <i>in vitro</i> validation reveals the involvement of TMEM140 in the link between periodontitis and brain aging.

Overview

Authors: HaoRan Zhao1, HongTao Wang2, WangXing Li1, Rui Su3, Jing Li3, Yan Liu1, Lei Wang1,3
  1. Kunming Medical University Haiyuan College, Kunming, Yunnan, China
  2. Department of Cardiovascular Surgery, Kunming Yan’an Hospital, Kunming, Yunnan, China
  3. Neuroscience Research Institute, Kunming Medical University, Kunming, Yunnan, China
Journal: Frontiers in aging neuroscience, volume 18, article 1761218
Dates: received 5 December 2025; accepted 6 April 2026; published online 22 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fnagi.2026.1761218 · PMID 42100482 · PMCID PMC13143994 · OpenAlex W7155211767
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), Alzheimer's / dementia (population), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing, Connectivity, fMRI & imaging, Spectral & time-frequency
Keywords: AD, aging, Alzheimer’s disease, PD, periodontitis, TMEM140
Topic: Oral microbiology and periodontitis research (Periodontics, Dentistry), according to OpenAlex
Citations: not cited yet (Europe PMC); 42 references in the paper

Abstract

Objective: Periodontitis (PD) is a prevalent chronic inflammatory disorder in adults, and moderate-to-severe PD (Stage II-III/IV) may accelerate brain aging and neurodegenerative changes via the peripheral-central immune-neural axis, although the molecular connections and mechanisms of interaction have yet to be fully elucidated. This study sought to identify senescence-associated molecules potentially shared by PD and Alzheimer’s disease (AD) using integrated transcriptomic analysis, machine learning, and in vitro RNA interference assays, and to further assess the role of TMEM140 in linking PD to brain aging.

Methods: Transcriptomic datasets related to PD and AD were retrieved from the GEO database, and differential gene expression analysis was performed following batch effect correction; shared aging-associated genes were subsequently identified by combining weighted gene co-expression network analysis (WGCNA) with aging gene databases (HAGR and aging Atlas). Four machine learning algorithms, namely random forest (RF), support vector machine (SVM), generalized linear model (GLM), and extreme gradient boosting (XGB), were further applied to identify key genes, and their diagnostic value was assessed using receiver operating characteristic (ROC) analysis and nomogram models. DSigDB was used to predict candidate small-molecule compounds. In the in vitro experiments, a Porphyromonas gingivalis lipopolysaccharide (PG-LPS)-induced inflammatory model in human gingival fibroblasts (HGFs) and an Aβ1-42 and D-galactose-induced senescence model in SH-SY5Y neuron-like cells were established; TMEM140 in SH-SY5Y cells was then silenced using small interfering RNA (siRNA), and the neuron-like cells were treated with the same batch of standardized conditioned medium (CM; prepared from the supernatant of PG-LPS-treated HGFs) to observe changes in cellular responses to inflammatory stimulation after TMEM140 downregulation.

Results: Seven aging-related genes common to PD and AD were identified, and comprehensive analysis using multiple algorithms selected TMEM140, TIMP1, and ALDH2 as key genes. Notably, TMEM140 was upregulated in PD and downregulated in AD, showed significant correlations with plasma cell and γδ T-cell infiltration, and single-cell analysis further revealed its cell type-specific expression in distinct brain cell subsets. In vitro experiments demonstrated that PG-LPS treatment markedly increased TMEM140 expression in HGFs, whereas treatment with Aβ1-42 and D-galactose reduced TMEM140 expression in neuron-like cells. When exposed to the same batch of conditioned medium, neuron-like cells with TMEM140 knockdown displayed more evident injury and senescence-related phenotypes, including reduced cell viability, increased reactive oxygen species (ROS) production, a higher percentage of senescence-associated β-galactosidase (SA-β-Gal)-positive cells, and marked upregulation of IL-1β, IL-6, TNF-α, p16, p21, RELA, NFKBIA, and TP53, indicating that reduced TMEM140 expression may contribute to enhanced susceptibility of neuron-like cells to inflammatory stress.

Conclusion: Through integrated transcriptomic analysis together with in vitro experimental validation, this study indicates that TMEM140 may be a candidate bridge molecule connecting PD and AD comorbidity. TMEM140 may participate in shaping the peripheral-central immunosenescence network and contribute to the cross-system transmission of inflammatory signaling.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

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Data

Datasets cited

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: GSE10334 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE10334); GSE223924 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223924); GSE16134 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16134); GSE122063 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122063); GSE132903 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE132903); GSE110226 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE110226).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 7 authors, 6 keywords, 42 references.

Cite

This paper

Zhao, H., Wang, H., Li, W., Su, R., Li, J., Liu, Y., & Wang, L. (2026). Integrated transcriptomic profiling combined with <i>in vitro</i> validation reveals the involvement of TMEM140 in the link between periodontitis and brain aging. Frontiers in aging neuroscience, 18, 1761218. https://doi.org/10.3389/fnagi.2026.1761218

BibTeX

@article{zhao2026integrated,
author = {Zhao, HaoRan and Wang, HongTao and Li, WangXing and Su, Rui and Li, Jing and Liu, Yan and Wang, Lei},
title = {{Integrated transcriptomic profiling combined with \<i\>in vitro\</i\> validation reveals the involvement of TMEM140 in the link between periodontitis and brain aging}},
journal = {Frontiers in aging neuroscience},
year = {2026},
month = apr,
volume = {18},
pages = {1761218},
publisher = {Frontiers Media SA},
issn = {1663-4365},
doi = {10.3389/fnagi.2026.1761218},
url = {https://doi.org/10.3389/fnagi.2026.1761218},
pmid = {42100482},
pmcid = {PMC13143994}
}

RIS

TY - JOUR
AU - Zhao, HaoRan
AU - Wang, HongTao
AU - Li, WangXing
AU - Su, Rui
AU - Li, Jing
AU - Liu, Yan
AU - Wang, Lei
TI - Integrated transcriptomic profiling combined with <i>in vitro</i> validation reveals the involvement of TMEM140 in the link between periodontitis and brain aging
T2 - Frontiers in aging neuroscience
J2 - Front Aging Neurosci
PY - 2026
DA - 2026/04/22
VL - 18
SP - 1761218
SN - 1663-4365
PB - Frontiers Media SA
DO - 10.3389/fnagi.2026.1761218
UR - https://doi.org/10.3389/fnagi.2026.1761218
LA - en
ER -

CSL-JSON

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