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Salivary metabolites as potential predictive biomarkers for lung surgery complications: a retrospective cross-sectional study

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Abstract

Purpose

Saliva is often used as a tool for identifying systemic diseases because of the noninvasive nature of its collection. Moreover, salivary metabolites can be potential predictive factors for postoperative survival. We conducted the present study to establish whether salivary metabolites can function as predictive biomarkers for lung surgery complications.

Methods

Unstimulated salivary samples were collected from 412 patients before lung surgery. Salivary metabolites were analyzed comprehensively by capillary electrophoresis mass spectrometry. Clinical data with the discriminatory ability of biomarkers were assessed to predict lung surgery complications using multivariate logistic regression analysis. The primary endpoint was the risk factors for postoperative complications of Clavien–Dindo grade ≥ III.

Results

Postoperative complications of Clavien–Dindo grade ≥ III developed in 36 patients (8.7%). There was no postoperative 30-day mortality. Male sex (odds ratio [OR], 3.852; 95% confidence interval CI 1.455–10.199; p = 0.007) and salivary gamma-butyrobetaine (OR, 0.809; 95% CI 0.694–0.943; p = 0.007) were identified as significant risk factors for postoperative complications of Clavien–Dindo grade ≥ III.

Conclusion

Salivary metabolites are potential noninvasive biomarkers for predicting postoperative complications of lung surgery.

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Data availability statement

Data cannot be shared for privacy or ethical reasons but are available from the corresponding author on reasonable request, subject to permission from the ethics committee of Yamagata University.

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Acknowledgements

This work was supported by grants from YU-COE(C) from Yamagata University. The authors thank all patients who provided the samples.

Funding

This work was supported by grants from YU-COE(C) from Yamagata University.

Author information

Authors and Affiliations

  1. Department of Surgery II, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan

    Satoshi Takamori, Kaito Sato, Hikaru Watanabe, Jun Suzuki, Satoshi Shiono & Tetsuro Uchida

  2. Department of General Thoracic Surgery, Yamagata Prefectural Central Hospital, 1800, Oazaaoyagi, Yamagata, 990-2292, Japan

    Satoshi Takamori

  3. Department of Dentistry, Department of Oral and Maxillofacial Plastic and Reconstructive Surgery, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan

    Shigeo Ishikawa, Naoki Okuyama, Kaoru Edamatsu & Mitsuyoshi Iino

  4. Department of General Thoracic Surgery, Higashiyamato Hospital, 1-13-12 Nangai, Higashiyamato, Tokyo, 207-0014, Japan

    Hiroyuki Oizumi

  5. Health Promotion and Pre-Emptive Medicine, Research and Development Center for Minimally Invasive Therapies, Tokyo Medical University, Shinjuku, Tokyo, 160-8402, Japan

    Masahiro Sugimoto

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  1. Satoshi Takamori
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Corresponding author

Correspondence to Shigeo Ishikawa.

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Conflict of interest

We have no conflicts of interest to declare.

Informed consent

Informed consent was obtained from all participants included in the study. Written informed consent was obtained from all participants in the original study. In the present study, the participants were given the option to opt out online. None of the patients declined to participate.

Statement of human and/or animal rights

The Institutional Review Board Ethics Committee approved the study (IRB #2022–131, August 29, 2022).

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Supplementary Information

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595_2024_2794_MOESM1_ESM.docx

Supplementary file1 (DOCX 23 KB) Table S1. Median salivary metabolite values in each group (patients without complications, patients with complications of Clavien–Dindo grade I and II, and patients with complications of Clavien–Dindo grade IIIa and IIIb). Table S2. Postoperative complications of Clavien–Dindo grade ≥ I.

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Takamori, S., Ishikawa, S., Sato, K. et al. Salivary metabolites as potential predictive biomarkers for lung surgery complications: a retrospective cross-sectional study. Surg Today (2024). https://doi.org/10.1007/s00595-024-02794-1

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