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Respiratory

Meta-analysis of the association between sex hormones and pulmonary fibrosis

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Received 17 Jan 2024, Accepted 17 Jun 2024, Published online: 07 Aug 2024
 

ABSTRACT

Background

This study aimed to investigate the association between sex hormones and the risk of pulmonary fibrosis by conducting a meta-analysis of previously published studies.

Methods

We executed a comprehensive search of the PubMed, Embase, Cochrane Library, and Web of Science databases to locate pertinent studies published up to April 2024. We included studies that reported the association between sex hormones and the risk of pulmonary fibrosis. Standardized mean difference (SMD) with 95% confidence intervals (CIs) were calculated using a random-effects model.

Results

A total of 10 articles, encompassing 1371 patients, were finally incorporated in this meta-analysis. Based on the evaluation of the included studies, it was observed that the levels of dehydroepiandrosterone sulfate (DHEA-S) (pooled SMD: −0.72, 95% CI: −1.21 to −0.24, p < 0.001), testosterone (pooled SMD: −1.25, CI: −2.39 and −0.11, p < 0.001) and estrogen (pooled SMD: −0.56, 95% CI: −0.96 to −0.15, p < 0.001) were significantly lower in patients with pulmonary fibrosis, whereas the levels of luteinizing hormone (LH) remained unaffected. Publication bias was ruled out through funnel plots.

Conclusion

This meta-analysis indicates that reduced levels of DHEA-S, testosterone, estrogen may serve as potential risk factors for pulmonary fibrosis. There is a pressing need for additional studies to confirm this association and explore the underlying biological mechanisms. Clinicians should recognize the potential influence of sex hormones in the etiology of pulmonary fibrosis and consider this aspect during the patient management process.

GRAPHICAL ABSTRACT

Abbreviations

DHEA=

Dehydroepiandrosterone

T=

Testosterone

DHT=

5α-dihydrotestosterone

E1=

Estrone

E2=

Etradiol

LH=

Luteinizing hormone

FSH=

Follicle-stimulating hormone

PRLA=

Prolactin Androstenedione

P=

Progesterone

17-OHP=

17-hydroxyprogesterone

AMH=

Anti-mullerian hormone

SHBG=

Sex hormone-binding globulin

25(OH)D=

25-hydroxyvitamin D

ORs=

Pooled odds ratios

CIs=

Confidence intervals

PF=

Pulmonary fibrosis

SARS-CoV-2=

Severe acute respiratory syndrome coronavirus 2

COVID-19=

Coronavirus disease 2019

IPF=

Idiopathic pulmonary fibrosis

ILD=

Interstitial lung disease

HRs=

Hazard ratios

SMDs=

Standardized mean differences

NOS=

Newcastle-Ottawa Scale

non-RCT=

Non-randomized controlled trial

Declaration of financial/other relationships

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Author contributions

Yunchang Yuan and Jingjing Zhang coordinated the study. Ying Chen had the idea for the study, along with Jiaxin Zhong. Ying Chen, Jiaxin Zhong, Zixin Cai, Zhenkun Xia and Bei Qing contributed to the study design, literature search, figures, statistical analysis, data synthesis of outcomes and drafted and edited the final paper. All authors critically revised the report. All members have confirmed and agreed to submit the manuscript.

Data availability statement

All data generated or analyzed during the present study are included in this published article.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/00325481.2024.2373683.

Additional information

Funding

This work was supported by grants from the National Natural Science Foundation of China [82330025, 82370807, 82070807, 82170866, 82070069], the National Key Research and Development Program [2019YFA0801903], Leading Talents Program of Hunan Province [2022RC3078], and Natural Science Foundation of Hunan Province, China [2021JJ30976], the Postdoctoral Fellowship Program of CPSF under Grant Number [GZB20240865].

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