Evidence map›Paper›PMID 40351663›Full record

ArticleReviews in cardiovascular medicine2025

Application of Metabolomics and the Discovery of Potential Serum Biomarkers for Diuretic Resistance in Heart Failure.

Yipin Yu, Qiong Yi, Chenglong Yang, Xudong Song, Duoting Tan, Qinghua Peng, Xiang Sun, Hao Liang

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

8 authors.

Yipin YuInstitute of TCM Diagnostics, Hunan University of Chinese Medicine, 410208 Changsha, Hunan, China.ORCID https://orcid.org/0009-0004-1788-2713
Qiong YiICU Department, The First Hospital of Hunan University of Chinese Medicine, 410021 Changsha, Hunan, China.ORCID https://orcid.org/0009-0009-1124-7440
Chenglong YangCardiovascular Department, The First Hospital of Hunan University of Chinese Medicine, 410021 Changsha, Hunan, China.ORCID https://orcid.org/0009-0002-3850-1970
Xudong SongInstitute of TCM Diagnostics, Hunan University of Chinese Medicine, 410208 Changsha, Hunan, China.ORCID https://orcid.org/0009-0006-3774-5374
Duoting TanInstitute of TCM Diagnostics, Hunan University of Chinese Medicine, 410208 Changsha, Hunan, China.ORCID https://orcid.org/0009-0003-2472-3246
Qinghua PengHunan Provincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, 410208 Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-9378-1330
Xiang SunCardiology Department, Changsha Hospital of Chinese Medicine, 410001 Changsha, Hunan, China.ORCID https://orcid.org/0009-0007-8406-6267
Hao LiangHunan Provincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, 410208 Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-9045-9717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diuretic resistance (DR) is characterized by insufficient fluid and sodium excretion enhancement despite maximum loop diuretic doses, indicating a phenotype of refractory heart failure (HF). Recently, metabolomics has emerged as a crucial tool for diagnosing and understanding the pathogenesis of various diseases. This study aimed to differentiate diuretic-resistant patients from non-resistant HF to identify biomarkers linked to the emergence of DR. Methods: Serum samples from HF patients, both with and without DR, were subjected to non-targeted metabolomic analysis using liquid chromatography-tandem mass spectrometry. Metabolite variations between groups were identified using principal component analysis and orthogonal partial least-square discriminant analysis. Metabolic pathways were assessed through the Kyoto Encyclopedia of Genes and Genomes database enrichment analysis, and potential biomarkers were determined using receiver operating characteristic curves (ROCs). Results: In total, 192 metabolites exhibited significant differences across the two sample groups. Among these, up-regulation was observed in 164 metabolites, while 28 metabolites were down-regulated. A total of 28 pathways involving neuroactive ligand-receptor interaction and amino acid biosynthesis were affected. The top five metabolites identified by ROC analysis as potential DR biomarkers were hydroxykynurenine, perillic acid, adrenic acid, 5-acetamidovalerate, and adipic acid. Conclusions: Significant differences in metabolite profiles were observed between the diuretic-resistant and non-diuretic-resistant groups among patients with HF. The top five differentially expressed endogenous metabolites were hydroxykynurenine, perillic acid, adrenic acid, 5-acetamidovalerate, and adipic acid. The metabolic primary pathways implicated in DR were noted as amino acid, energy, and nucleotide metabolism. Clinical Trial Registration: This study was registered with the China Clinical Trials Registry (https://www.chictr.org.cn/hvshowproject.html?id=197183&v=1.7, ChiCTR2100053587).

Indexed as

biomarkerdiuretic resistanceheart failuremetabolomic

Identifiers

PMID40351663
PMCPMC12059756

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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.