Evidence map›Paper›PMID 38951204›Full record

ArticleApplied microbiology and biotechnology2024

Prediction of delayed graft function by early salivary microbiota following kidney transplantation.

Xuyu Xiang, Bo Peng, Kai Liu, Tianyin Wang, Peng Ding, Yi Zhu, Ke Cheng, Yingzi Ming

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

8 authors.

Xuyu XiangThe Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Bo PengThe Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Kai LiuThe Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Tianyin WangThe Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Peng DingThe Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Yi ZhuThe Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Ke ChengThe Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Yingzi MingThe Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China. mingyz_china@csu.edu.cn.ORCID http://orcid.org/0009-0009-8878-3831

Funding

National Natural Science Foundation of China 81771722
6 · The paper itself

Abstract

Delayed graft function (DGF) is a frequently observed complication following kidney transplantation (KT). Our prior research revealed dynamic shifts in salivary microbiota post-KT with immediate graft function (IGF), yet its behavior during DGF remains unexplored. Five recipients with DGF and 35 recipients with IGF were enrolled. Saliva samples were collected during the perioperative period, and 16S rRNA gene sequencing was performed. The salivary microbiota of IGFs changed significantly and gradually stabilized with the recovery of renal function. The salivary microbiota composition of DGFs was significantly different from that of IGFs, although the trend of variation appeared to be similar to that of IGFs. Salivary microbiota that differed significantly between patients with DGF and IGF at 1 day after transplantation were able to accurately distinguish the two groups in the randomForest algorithm (accuracy = 0.8333, sensitivity = 0.7778, specificity = 1, and area under curve = 0.85), with Selenomonas playing an important role. Bacteroidales (Spearman's r =  - 0.4872 and p = 0.0293) and Veillonella (Spearmen's r =  - 0.5474 and p = 0.0125) were significantly associated with the serum creatinine in DGF patients. Moreover, the significant differences in overall salivary microbiota structure between DGF and IGF patients disappeared upon long-term follow-up. This is the first study to investigate the dynamic changes in salivary microbiota in DGFs. Our findings suggested that salivary microbiota was able to predict DGF in the early stages after kidney transplantation, which might help the perioperative clinical management and early-stage intervention of kidney transplant recipients. KEY POINTS: • Salivary microbiota on the first day after KT could predict DGF. • Alterations in salivary taxa after KT are related to recovery of renal function.

Indexed as

Delayed Graft FunctionKidney TransplantationMicrobiotaRNA, Ribosomal, 16SSalivaAdultBacteriaFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SDelayed graft functionEarly-stage predictionKidney transplantationPerioperative periodSalivary microbiota

Identifiers

PMID38951204
PMCPMC11217047

What Socratic 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 Socratic graph.