Dataset Information

Characteristics of human oral microbiome and its non-invasive diagnostic value in chronic kidney disease.

ABSTRACT:

Background

Morbidity of chronic kidney disease (CKD) is increased, with many complications and high mortality rates. The characteristics of oral microbiome in CKD patients have not been reported. This study aims to analyze the oral microbiome, and to demonstrate the potential of microbiome as noninvasive biomarkers for CKD patients.

Methods

The study collected 253 oral samples from different regions of China (Central China and East China) prospectively and finally 235 samples completed Miseq sequencing, including 103 samples from CKD patients and 132 healthy controls (HCs).

Results

Compared with HCs (n=88), the oral microbial diversity in CKD patients (n=44) was increased. Fourteen genera including Streptococcus, Actinomyces and Leptotrichia were enriched, while six genera including Prevotella and Haemophilus were decreased in CKD patients. Moreover, 49 predicted microbial gene functions including arginine metabolism and tryptophan metabolism increased, while 55 functions including Ribosome and DNA repair recombination proteins decreased. Furthermore, correlation analysis demonstrated that 38 operational taxonomic units (OTUs) were closely related to 5 clinical indicators of CKD. Notably, 7 optimal biomarkers were identified using random forest model, and the classifier model respectively reached an area under the curve (AUC) of 0.9917 and 0.8026 in the discovery and validation phase, achieving a cross-region validation.

Conclusions

We first illustrated the characteristics of the oral microbiome of patients with CKD, identified the potential of oral microbial makers as noninvasive tools for the diagnosis of CKD and achieved cross-region validation.

SUBMITTER: Guo S

PROVIDER: S-EPMC9093701 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

Characteristics of human oral microbiome and its non-invasive diagnostic value in chronic kidney disease.

Guo Shiyuan S Wu Ge G Liu Wenli W Fan Yajuan Y Song Wengang W Wu Jian J Gao Dan D Gu Xi X Jing Sanhui S Shen Quanquan Q Ren Lingyan L Dong Yindi Y Liu Zhangsuo Z

Bioscience reports 20220501 5

<h4>Background</h4>Morbidity of chronic kidney disease (CKD) is increased, with many complications and high mortality rates. The characteristics of oral microbiome in CKD patients have not been reported. This study aims to analyze the oral microbiome, and to demonstrate the potential of microbiome as noninvasive biomarkers for CKD patients.<h4>Methods</h4>The study collected 253 oral samples from different regions of China (Central China and East China) prospectively and finally 235 samples comp ...[more]

PMID: 35348181

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Project description:IntroductionTraditional meta-analyses on the diagnostic accuracy of oral lesions have been conducted, but they were inherently limited to direct pairwise comparisons between a single method and a single alternative, while multiple diagnostic options and the ranking thereof were methodologically not possible.ObjectiveTo evaluate the diagnostic values of various methods in patients with oral potential malignant disease by performing a network meta-analysis.MethodsTwo authors independently searched the databases (MEDLINE, SCOPUS, the Cochrane Register of Controlled Trials, and Google scholar) up to June 2020 for studies comparing the diagnostic accuracy of various tools (autofluorescence, chemiluminescence, cytology, narrow band imaging, and toluidine blue) with visual examination or other tools. The outcomes of interest for this analysis were sensitivity, specificity, negative predictive value, positive predictive value and accuracy. Both a standard pairwise meta-analysis and network meta-analysis were conducted.ResultsTreatment networks consisting of six interventions were defined for the network meta-analysis. The results of traditional meta-analysis showed that, among six methods, narrow band imaging showed higher sensitivity, specificity, negative predictive value, positive predictive value, and accuracy compared to visual examination. The results of network meta-analysis showed that autofluorescence, chemiluminescence, and narrow band imaging had higher sensitivity compared with visual examination, and that chemiluminescence and narrow band imaging had higher negative predictive value compared with visual examination. However, autofluorescence and chemiluminescence had lower specificity compared with visual examination. There were no significant differences in positive predictive value and accuracy among the six interventions.ConclusionThis study demonstrated that narrow banding imaging has superiority in terms of sensitivity and negative predictive value compared with the other five tested agents.

Dataset Information

Characteristics of human oral microbiome and its non-invasive diagnostic value in chronic kidney disease.

Background

Methods

Results

Conclusions

Publications

Characteristics of human oral microbiome and its non-invasive diagnostic value in chronic kidney disease.

Similar Datasets

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