Evidence map›Paper›PMID 38250970›Full record

ArticleToxics2023

A Metabolome and Microbiome Analysis of Acute Myeloid Leukemia: Insights into the Carnosine-Histidine Metabolic Pathway.

Binxiong Wu, Yuntian Xu, Miaomiao Tang, Yingtong Jiang, Ting Zhang, Lei Huang, Shuyang Wang, Yanhui Hu, Kun Zhou, Xiaoling Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2023. 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
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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  4. Article
  5. Article
  6. The cancer microbiome.Advances in clinical chemistry · 2025
    Review
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

11 authors at 2 institutions in 1 country.

Binxiong WuDepartment of Hygienic Analysis and Detection, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Yuntian XuState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Miaomiao TangState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Yingtong JiangState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Ting ZhangWomen's Hospital of Jiangnan University, Wuxi 214002, China.
Lei HuangState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Shuyang WangState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Yanhui HuSir Run Run Hospital of Nanjing Medical University, Nanjing 211166, China.
Kun ZhouState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Xiaoling ZhangDepartment of Hygienic Analysis and Detection, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Minjian ChenState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Nanjing Medical University · CNJiangnan University · CN

Funding

China National Key Research & Development (R&D) Plan 2021YFC2700600Excellent Young Backbone Teachers of "Qinglan Project" of Colleges and Universities in Jiangsu ProvinceNatural Science Foundation of China 82273668the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)the Wuxi City Health Committee top-notch talent BJ2020077
6 · The paper itself

Abstract

Metabolism underlies the pathogenesis of acute myeloid leukemia (AML) and can be influenced by gut microbiota. However, the specific metabolic changes in different tissues and the role of gut microbiota in AML remain unclear. In this study, we analyzed the metabolome differences in blood samples from patients with AML and healthy controls using UPLC-Q-Exactive. Additionally, we examined the serum, liver, and fecal metabolome of AML model mice and control mice using UPLC-Q-Exactive. The gut microbiota of the mice were analyzed using 16S rRNA sequencing. Our UPLC-MS analysis revealed significant differences in metabolites between the AML and control groups in multiple tissue samples. Through cross-species validation in humans and animals, as well as reverse validation of Celastrol, we discovered that the Carnosine-Histidine metabolic pathway may play a potential role in the occurrence and progression of AML. Furthermore, our analysis of gut microbiota showed no significant diversity changes, but we observed a significant negative correlation between the key metabolite Carnosine and

Indexed as

acute myeloid leukemiagut microbiotametabolic pathwaymetabolomics

Identifiers

PMID38250970
PMCPMC10821349
OpenAlexW4390174582

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.