ArticleImmunobiology2018
Comparative analysis of microbial sensing molecules in mucosal tissues with aging.
Article in Immunobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed.
- Relationship between herpesviruses and periodontal disease progression.Journal of clinical periodontology · 2020Trial
- Overexpression of key complement regulators in glioblastoma.PloS one · 2026Article
- Exploring hypoxia- and cuproptosis-related biomarkers in periodontitis based on transcriptome and single-cell analysis.Clinical oral investigations · 2025Article
- Innate immune response in acute critical illness: a narrative review.Annals of intensive care · 2024Review
- Pentraxin 3: A Main Driver of Inflammation and Immune System Dysfunction in the Tumor Microenvironment of Glioblastoma.Cancers · 2024Review
- The Genetic Cross-Talk between Periodontitis and Chronic Kidney Failure Revealed by Transcriptomic Analysis.Genes · 2023Article
- DAMPs and alarmin gene expression patterns in aging healthy and diseased mucosal tissues.Frontiers in oral health · 2023Article
- Article
- Wheat oligopeptides enhance the intestinal mucosal barrier and alleviate inflammation via the TLR4/Myd88/MAPK signaling pathway in aged mice.Food & nutrition research · 2022Article
- Transcriptomic phases of periodontitis lesions using the nonhuman primate model.Scientific reports · 2021Article
- Changes in salivary microbial sensing proteins CD14 and TLR2 with aging.Clinical oral investigations · 2020Article
- Oral Microbiome and Gingival Transcriptome Profiles of Ligature-Induced Periodontitis.Journal of dental research · 2020Article
- The Basic Characteristics of the Pentraxin Family and Their Functions in Tumor Progression.Frontiers in immunology · 2020Review
- Periodontal disease susceptible matrilines in the Cayo Santiago Macaca mulatta macaques.Journal of periodontal research · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Host-bacterial interactions at mucosal surfaces require recognition of the bacteria by host cells enabling targeted responses to maintain tissue homeostasis. It is now well recognized that an array of host-derived pattern recognition receptors (PRRs), both cell-bound and soluble, are critical to innate immune engagement of microbes via microbial-associated molecular patterns (MAMP). This report describes the use of a nonhuman primate model to evaluate changes in the expression of these sensing molecules related to aging in healthy gingival tissues. Macaca mulatta aged 3-24 years were evaluated clinically and gingival tissues obtained, RNA isolated and microarray analysis conducted for gene expression of the sensing pattern recognition receptors (PRRs). The results demonstrated increased expression of various PRRs in healthy aging gingiva including extracellular (CD14, CD209, CLEC4E, TLR4), intracellular (NAIP, IFIH1, DAI) and soluble (PTX4, SAA1) PRRs. Selected PRRs were also correlated with both bleeding on probing (BOP) and pocket depth (PD) in the animals. These findings suggest that aged animals express altered levels of various PRRs that could affect the ability of the tissues to interact effectively with the juxtaposed microbial ecology, presumably contributing to an enhanced risk of periodontitis even in clinically healthy oral mucosal tissues with aging.
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Registered trials
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.