Evidence map›Paper›PMID 41686583›Full record

ArticleMedicine2026

The identification of biomarkers for response to omalizumab in adult asthma based on untargeted metabolomic analysis.

Yajing Li, Yongxiang Zhang, Lingling Zhao, Wei Li, Wei Jia, Hui Ma

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yajing LiDepartment of Respiratory and Critical Care Medicine, Chest Hospital, Tianjin University, Tianjin, China.
Yongxiang ZhangDepartment of Respiratory and Critical Care Medicine, Chest Hospital, Tianjin University, Tianjin, China.
Lingling ZhaoKindstar Global Precision Medicine Institute, Wuhan, China.
Wei LiDepartment of Respiratory and Critical Care Medicine, Chest Hospital, Tianjin University, Tianjin, China.
Wei JiaDepartment of Respiratory and Critical Care Medicine, Chest Hospital, Tianjin University, Tianjin, China.
Hui MaDepartment of Respiratory and Critical Care Medicine, Chest Hospital, Tianjin University, Tianjin, China.

Funding

Tianjin Jinnan District science and technology plan project 20210108
6 · The paper itself

Abstract

There is a paucity of research on biomarkers that can accurately identify patients who are likely to derive benefit from anti-IgE therapy. The present study aimed to identify metabolites associated with the therapeutic response to omalizumab in adult with asthma. We performed global metabolomic profiling of plasma samples obtained from 44 patients with severe asthma prior to initiating omalizumab treatment, employing untargeted metabolomic analysis. Patients were divided into responders or non-responders based on their treatment outcomes. Between-group difference analysis and enrichment analysis were conducted to identify metabolites associated with treatment response. Compared with non-responders, responders exhibited significant up-regulated of 19 metabolites, and down-regulated of 3 metabolites in their plasma. These metabolites may serve as potential indicators for determining which severe asthma patients are likely to benefit from omalizumab. This study highlights the close relationship between the plasma metabolic profile of severe asthma patients and their response to omalizumab. It presents a promising approach for identifying patients who are most likely to benefit from this therapeutic intervention.

Indexed as

Anti-Asthmatic AgentsAsthmaBiomarkersMetabolomicsOmalizumabAdultFemaleHumansMaleMetabolomeMiddle AgedTreatment OutcomeAnti-Asthmatic AgentsBiomarkersOmalizumabbiomarkersmetabolic profilemetabolomicsomalizumabsevere asthma

Identifiers

PMID41686583
PMCPMC12908810

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.