Evidence map›Paper›PMID 35125876›Full record

ArticleJournal of asthma and allergy2022

The Multiomics Analyses of Gut Microbiota, Urine Metabolome and Plasma Proteome Revealed Significant Changes in Allergy Featured with Indole Derivatives of Tryptophan.

Jianhua Zhen, Pengfei Zhao, Yini Li, Yanan Cai, Wanchen Yu, Wei Wang, Lu Zhao, Hesong Wang, Guangrui Huang, Anlong Xu

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of asthma and allergy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% 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, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Jianhua Zhen *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Pengfei Zhao *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Yini Li *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Yanan Cai *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Wanchen Yu *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Wei WangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Lu ZhaoSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Hesong WangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Guangrui HuangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Anlong XuSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Beijing University of Chinese Medicine · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore changes in the gut microbiota (GM), urine metabolome and plasma proteome in individuals with allergies using multiomics analyses, and identify the key components and mechanism.

methodsThis was a cross-sectional study. All subjects were recruited to collect fecal, urine and blood samples. 16S rDNA sequencing was used to analyze the structure and function of the GM, liquid chromatography mass spectrometry was used to quantify metabolites in the urine, and data-independent acquisition quantitative proteome analysis was used to detect proteins in the plasma. Differences in GM, urine metabolites and plasma proteins between allergic and healthy individuals were displayed using principal component analysis (PCoA) and heatmap, and the co-occurrence network was visualized in Cytoscape using Spearman correlation among differential predominant genera, metabolites and proteins. The functional analysis was performed according to the Kyoto Encyclopedia of Genes and Genomes (KEGG) dataset. The allergy-related cytokines, IL-4, IL-6 and IL-13, were measured to evaluate the effect of indole derivatives on LPS-induced macrophage activation.

resultsGM α indexes, β distances and the relative abundance of the core differential genera in the allergic group were different from those of healthy individuals, which resulted in a separate distribution in the PCoA and enterotypes. Similarly, the concentrations of 393 metabolites and 144 proteins were different between allergic and healthy individuals. Then, 634 significant correlations were identified among 6 predominant differential genera, 24 differential metabolites and 104 differential proteins, 301 of which were negative and 333 of which were positive. Notably, a core network centered on tryptophan metabolites, indole-3-butyric acid (IBA) and indole-3-lactic acid (ILA), displayed high consistency with the results of KEGG pathway analysis. In the LPS-stimulated macrophages, IBA reduced the expression of IL-4 and IL-6, and ILA inhibited the upregulation of IL-6.

conclusionThe GM, urine metabolome and plasma proteome underwent systematic change in allergic individuals compared to healthy individuals, among which indole derivatives from tryptophan metabolism might play key roles in the progression of allergies and could serve as therapeutic targets of allergy.

Indexed as

allergygut microbiotamultiomicsplasma proteomeurine metabolome

Identifiers

PMID35125876
PMCPMC8809677
OpenAlexW4210300516

What OpenQuestion holds

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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.