Evidence map›Paper›PMID 36992687›Full record

ArticleFrontiers in cellular and infection microbiology2023

Uncovering the specificity and predictability of tryptophan metabolism in lactic acid bacteria with genomics and metabolomics.

Tong Pan, Zhangming Pei, Zhifeng Fang, Hongchao Wang, Jinlin Zhu, Hao Zhang, Jianxin Zhao, Wei Chen, Wenwei Lu

Open access · goldFull text read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
13.7field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 62 citations in OpenAlex.

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  16. Frontiers in plant science · 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

9 authors at 4 institutions in 1 country.

Tong PanState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
Zhangming PeiState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
Zhifeng FangSchool of Food Science and Technology, Shihezi University, Shihezi, China.
Hongchao WangState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
Jinlin ZhuState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
Hao ZhangState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
Jianxin ZhaoState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
Wei ChenState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
Wenwei LuState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
Jiangnan University · CNState Key Laboratory of Food Science and Technology · CNYangzhou University · CNShihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tryptophan is metabolized by microorganisms into various indole derivatives that have been proven to alleviate diseases and promote human health. Lactic acid bacteria (LAB) are a broad microbial concept, some of which have been developed as probiotics. However, the capacity of most LAB to metabolize tryptophan is unknown. In this study, the aim is to reveal the rule of tryptophan metabolism in LAB by multi-omics. The findings showed that LAB were rich in genes for tryptophan catabolism and that multiple genes were shared among LAB species. Although the number of their homologous sequences was different, they could still form the same metabolic enzyme system. The metabolomic analysis revealed that LAB were capable of producing a variety of metabolites. Strains belonging to the same species can produce the same metabolites and have similar yields. A few strains showed strain-specificity in the production of indole-3-lactic acid (ILA), indole-3-acetic acid, and 3-indolealdehyde (IAld). In the genotype-phenotype association analysis, the metabolites of LAB were found to be highly consistent with the outcomes of gene prediction, particularly ILA, indole-3-propionic acid, and indole-3-pyruvic acid. The overall prediction accuracy was more than 87% on average, which indicated the predictability of tryptophan metabolites of LAB. Additionally, genes influenced the concentration of metabolites. The levels of ILA and IAld were significantly correlated with the numbers of aromatic amino acid aminotransferase and amidase, respectively. The unique indolelactate dehydrogenase in

Indexed as

LactobacillalesGenomicsHumansIndolesMetabolomicsTryptophanIndolesTryptophangenomicslactic acid bacteriametabolismmetabolomicspredictabilityspecificitytryptophan

Identifiers

PMID36992687
PMCPMC10040830
OpenAlexW4324088300

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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.