Evidence map›Paper›PMID 38643115›Full record

ArticleBMC microbiology2024

Saliva‑microbiome‑derived signatures: expected to become a potential biomarker for pulmonary nodules (MCEPN-1).

Yifeng Ren, Qiong Ma, Xiao Zeng, Chunxia Huang, Shiyan Tan, Xi Fu, Chuan Zheng, Fengming You, Xueke Li

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% of its field
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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Yifeng Ren *Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
Qiong Ma *Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
Xiao ZengHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
Chunxia HuangHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
Shiyan TanHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
Xi FuHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
Chuan ZhengHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
Fengming YouHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China. yfmdoc@163.com.
Xueke LiHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China. 2017202040046@whu.edu.cn.
Chengdu University of Traditional Chinese Medicine · CNSecond Affiliated Hospital of Chengdu University of Traditional Chinese · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral microbiota imbalance is associated with the progression of various lung diseases, including lung cancer. Pulmonary nodules (PNs) are often considered a critical stage for the early detection of lung cancer; however, the relationship between oral microbiota and PNs remains unknown.

methodsWe conducted a 'Microbiome with pulmonary nodule series study 1' (MCEPN-1) where we compared PN patients and healthy controls (HCs), aiming to identify differences in oral microbiota characteristics and discover potential microbiota biomarkers for non-invasive, radiation-free PNs diagnosis and warning in the future. We performed 16 S rRNA amplicon sequencing on saliva samples from 173 PN patients and 40 HCs to compare the characteristics and functional changes in oral microbiota between the two groups. The random forest algorithm was used to identify PN salivary microbial markers. Biological functions and potential mechanisms of differential genes in saliva samples were preliminarily explored using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Cluster of Orthologous Groups (COG) analyses.

resultsThe diversity of salivary microorganisms was higher in the PN group than in the HC group. Significant differences were noted in community composition and abundance of oral microorganisms between the two groups. Neisseria, Prevotella, Haemophilus and Actinomyces, Porphyromonas, Fusobacterium, 7M7x, Granulicatella and Selenomonas were the main differential genera between the PN and HC groups. Fusobacterium, Porphyromonas, Parvimonas, Peptostreptococcus and Haemophilus constituted the optimal marker sets (area under curve, AUC = 0.80), which can distinguish between patients with PNs and HCs. Further, the salivary microbiota composition was significantly correlated with age, sex, and smoking history (P < 0.001), but not with personal history of cancer (P > 0.05). Bioinformatics analysis of differential genes showed that patients with PN showed significant enrichment in protein/molecular functions related to immune deficiency and energy metabolisms, such as the cytoskeleton protein RodZ, nicotinamide adenine dinucleotide phosphate dehydrogenase (NADPH) dehydrogenase, major facilitator superfamily transporters and AraC family transcription regulators.

conclusionsOur study provides the first evidence that the salivary microbiota can serve as potential biomarkers for identifying PN. We observed a significant association between changes in the oral microbiota and PNs, indicating the potential of salivary microbiota as a new non-invasive biomarker for PNs.

trial registrationClinical trial registration number: ChiCTR2200062140; Date of registration: 07/25/2022.

Indexed as

Lung NeoplasmsMicrobiotaBiomarkersHumansOxidoreductasesRNA, Ribosomal, 16SSalivaBiomarkersOxidoreductasesRNA, Ribosomal, 16SBiomarkersClinical trialLiquid biopsyOral microbiomePulmonary nodule

Identifiers

PMID38643115
PMCPMC11031921
OpenAlexW4394979753

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.