Evidence map›Paper›PMID 37409640›Full record

ArticleCancer medicine2023

Alteration of gut microbiome and correlated amino acid metabolism are associated with acute myelocytic leukemia carcinogenesis.

Jing Xu, Yong Kang, Yan Zhong, Wencan Ye, Tianle Sheng, Qingming Wang, Jifu Zheng, Qiuyue Yang, Ping Yi, Zhenjiang Li

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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  10. The cancer microbiome.Advances in clinical chemistry · 2025
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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

10 authors at 2 institutions in 1 country.

Jing XuDepartment of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.ORCID 0000-0002-5744-1080
Yong KangDepartment of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yan ZhongDepartment of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Wencan YeDepartment of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Tianle ShengDepartment of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Qingming WangDepartment of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jifu ZhengDepartment of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Qiuyue YangDepartment of Scientific Research Project, Wuhan Kindstar Medical Laboratory Co., Ltd., Wuhan, China.
Ping YiDepartment of Scientific Research Project, Wuhan Kindstar Medical Laboratory Co., Ltd., Wuhan, China.
Zhenjiang LiDepartment of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.ORCID 0000-0001-7559-637X
Nanchang University · CNWuhan Science and Technology Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to investigate the profiles of gut microbiota and metabolites in acute myelocytic leukemia (AML) patients treated with/without chemotherapy.

methodsHerein, high-throughput 16S rRNA gene sequencing was performed to analysis gut microbiota profiles, and liquid chromatography and mass spectrometry were performed to analysis metabolites profiles. The correlation between gut microbiota biomarkers identified by LEfSe and differentially expressed metabolites were determined by spearman association analysis.

resultsThe results showed the distinguished gut microbiota and metabolites profiles between AML patients and control individuals or AML patients treated with chemotherapy. Compared to normal populations, the ratio of Firmicutes to Bacteroidetes was increased at the phylum level than that in AML patients, and LEfSe analysis identified Collinsella and Coriobacteriaceae as biomarkers of AML patients. Differential metabolite analysis indicated that, compared to AML patients, numerous differential amino acids and analogs could be observed in control individuals and AML patients treated with chemotherapy. Interestingly, spearman association analysis demonstrated that plenty of bacteria biomarkers shows statistical correlations with differentially expressed amino acid metabolites. In addition, we found that both Collinsella and Coriobacteriaceae demonstrate remarkable positive correlation with hydroxyprolyl-hydroxyproline, prolyl-tyrosine, and tyrosyl-proline.

conclusionIn conclusion, our present study investigated the role of the gut-microbiome-metabolome axis in AML and revealed the possibility of AML treatment by gut-microbiome-metabolome axis in the further.

Indexed as

Gastrointestinal MicrobiomeMetabolomicsBiomarkersCarcinogenesisFecesHumansRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16Sacute myelocytic leukemiaamino acidsfecal metabolomicsgut microbiota

Identifiers

PMID37409640
PMCPMC10469656
OpenAlexW4383303073

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.