Evidence map›Paper›PMID 37140390›Full record

ArticleMicrobiology spectrum2023

MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota.

Liangqiang Chen, Wenjing Gao, Xue Tan, Ying Han, Fu Jiao, Bin Feng, Jinghang Xie, Bin Li, Huilin Zhao, Huabin Tu and 2 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

  1. Article
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  3. Observational
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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

12 authors.

Liangqiang Chen *Kweichow Moutai Group, Renhuai, Guizhou, People's Republic of China.
Wenjing Gao *Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Xue TanKweichow Moutai Group, Renhuai, Guizhou, People's Republic of China.
Ying HanKweichow Moutai Group, Renhuai, Guizhou, People's Republic of China.
Fu JiaoKweichow Moutai Group, Renhuai, Guizhou, People's Republic of China.
Bin FengInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People's Republic of China.ORCID 0000-0001-7673-368X
Jinghang XieInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Bin LiInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Huilin ZhaoInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Huabin TuKweichow Moutai Group, Renhuai, Guizhou, People's Republic of China.
Shaoning YuInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People's Republic of China.ORCID 0000-0002-6906-8949
Li WangKweichow Moutai Group, Renhuai, Guizhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MALDI-TOF MS is well-recognized for single microbial identification and widely used in research and clinical fields due to its specificity, speed of analysis, and low cost of consumables. Multiple commercial platforms have been developed and approved by the U.S. Food and Drug Administration. Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) has been used for microbial identification. However, microbes can present as a specific microbiota, and detection and classification remain a challenge. Here, we constructed several specific microbiotas and tried to classify them using MALDI-TOF MS. Different concentrations of nine bacterial strains (belonging to eight genera) constituted 20 specific microbiotas. Using MALDI-TOF MS, the overlap spectrum of each microbiota (MS spectra of nine bacterial strains with component percentages) could be classified by hierarchical clustering analysis (HCA). However, the real MS spectrum of a specific microbiota was different than that of the overlap spectrum of component bacteria. The MS spectra of specific microbiota showed excellent repeatability and were easier to classify by HCA, with an accuracy close to 90%. These results indicate that the widely used MALDI-TOF MS identification method for individual bacteria can be expanded to classification of microbiota.

Indexed as

BacteriaSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationHCAMALDI-TOF MSmicrobiota classification

Identifiers

PMID37140390
PMCPMC10269913

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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 OpenQuestion graph.