Evidence map›Paper›PMID 37417425›Full record

ArticleESC heart failure2023

Serum a-1 antitrypsin as a novel biomarker in chronic heart failure.

Ying-Ying Zheng, Ting-Ting Wu, Xian-Geng Hou, Hai-Tao Yang, Yi Yang, Wen-Juan Xiu, Ying Pan, Yi-Tong Ma, Ailiman Mahemuti, Xiang Xie

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in ESC heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Ying-Ying ZhengDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Ting-Ting WuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Xian-Geng HouDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Hai-Tao YangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Yi YangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Wen-Juan XiuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Ying PanDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Yi-Tong MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Ailiman MahemutiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.
Xiang XieDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830011, Xinjiang, China.ORCID 0000-0002-0632-4626
Xinjiang Medical University · CN

Funding

Excellent Youth Fund of Henan Natural Science Foundation 212300410072National Natural Science Foundation of China 82000238National Natural Science Foundation of China 82170345
6 · The paper itself

Abstract

aimsChronic heart failure (CHF) remains a major health issue worldwide. In the present study, we aimed to identify novel circulating biomarkers for CHF using serum proteomics technology and to validate the biomarker in three independent cohorts. METHODS AND

resultsThe isobaric tags for relative and absolute quantitation technology was utilized to identify the potential biomarkers of CHF. The validation was conducted in three independent cohort. Cohort A included 223 patients with ischaemic heart disease (IHD) and 321 patients with ischaemic heart failure (IHF) from the CORFCHD-PCI study. Cohort B recruited 817 patients with IHD and 1139 patients with IHF from the PRACTICE study. Cohort C enrolled 559 non-ischaemic heart disease patients with CHF (n = 316) or without CHF (n = 243). We found the expression of a-1 antitrypsin (AAT) was elevated significantly in patients with CHF compared with that in the patients with stable IHD using statistical and bioinformatics analyses. In a validation study, there was a significant difference between patients with stable IHD and patients with IHF in AAT concentration either in cohort A (1.35 ± 0.40 vs. 1.64 ± 0.56, P < 0.001) or in cohort B (1.37 ± 0.42 vs. 1.70 ± 0.48, P < 0.001). The area under the receiver operating characteristic curve was 0.70 [95% confidence interval (CI): 0.66 to 0.74, P < 0.001] in cohort A and 0.74 (95% CI: 0.72 to 0.76, P < 0.001) in cohort B. Furthermore, AAT was negative correlated with left ventricular ejection fraction (r = -0.261, P < 0.001). After adjusting for confounders using a multivariate logistic regression analysis, AAT remained an independent association with CHF in both cohort A (OR = 3.14, 95% CI: 1.667 to 5.90, P < 0.001) and cohort B (OR = 4.10, 95% CI: 2.97 to 5.65, P < 0.001). This association was also validated in cohort C (OR = 1.86, 95% CI: 1.02 to 3.38, P = 0.043).

conclusionsThe present study suggests that serum AAT is a reliable biomarker for CHF in a Chinese population.

Indexed as

alpha 1-AntitrypsinHeart FailureAgedBiomarkersChronic DiseaseEast Asian PeopleFemaleHumansMaleMiddle AgedObservational Studies as TopicPrognosisProteomicsROC CurveStroke Volumealpha 1-AntitrypsinBiomarkersA-1 antitrypsinBiomarkerChronic heart failureIschaemic heart diseaseProteomics

Identifiers

PMID37417425
PMCPMC10567649
OpenAlexW4383481705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.