The Correlation between Volatile Organic Compounds (VOC) with Leukotriene B4 and Eosinophil Counts in Chronic Obstructive Pulmonary Disease Patients

Authors

  • Andrew Santosa Department of Respiratory and Pulmonology, Faculty of Medicine University of Brawijaya /Dr Saiful Anwar General Hospital, Malang, Indonesia, Indonesia
  • Ngakan Putu Parsama Putra Department of Respiratory and Pulmonology, Faculty of Medicine University of Brawijaya /Dr Saiful Anwar General Hospital, Malang, Indonesia, Indonesia
  • Aditya Sri Listyoko Department of Respiratory and Pulmonology, Faculty of Medicine University of Brawijaya /Dr Saiful Anwar General Hospital, Malang, Indonesia, Indonesia
  • Arinto Yudi Ponco Wardoyo Department of Respiratory and Pulmonology, Faculty of Medicine University of Brawijaya /Dr Saiful Anwar General Hospital, Malang, Indonesia, Indonesia
  • Nanik Setijowati Department of Respiratory and Pulmonology, Faculty of Medicine University of Brawijaya /Dr Saiful Anwar General Hospital, Malang, Indonesia, Indonesia

DOI:

https://doi.org/10.36408/mhjcm.v11i1.1035

Keywords:

Volatile Organic Compounds, Leukotriene B4, Eosinophil, Chronic Obstructive Pulmonary Disease

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disorder characterized by increasing Leukotriene B4 (LTB4) and eosinophil counts. Volatile organic compounds (VOCs) have shown promise as non-invasive biomarkers, reflecting COPD pathophysiology. Identifying specific VOCs associated with increased LTB4 and eosinophil counts could lead to the discovery of potential biomarkers for COPD severity or progression.

AIMS: This study aims to investigate the correlation between VOCs and leukotriene B4 (LTB4) levels, as well as eosinophil counts counts in COPD patients.

METHOD: Using an observational-analytic method with a case-control approach, 20 COPD patients and 20 controls were enrolled from the respiratory outpatient department of Dr. Saiful Anwar General Hospital, Malang. VOC levels were measured using a breath analyzer, while LTB4 levels were determined through enzyme-linked immunosorbent assays. Spearman’s correlation tests examined associations between VOCs, LTB4, eosinophil counts, and comorbidity, with Mann-Whitney tests comparing results against the control group. Data significance was set at p < 0.05.

RESULT: There were 40 COPD patients and 40 controls in this study. There were significant differences between VOCs in the COPD group and the control group (p < 0.05). LTB4 level significantly increased in the COPD group than in the control group (p < 0.001), and there was no difference in the eosinophil level. There was a correlation between LTB4 and VOC level of C2H5OH in COPD patients (p = 0.009; r = 0.410). There was no correlation between eosinophil counts and VOCs (p = 0.939). The level of VOCs was significantly different between patients with only COPD and patients with COPD and comorbid lung cancer (p < 0.05).

CONCLUSION: There is a correlation between VOC and LTB4 in COPD patients.

Downloads

Download data is not yet available.

References

1. Global strategy for the diagnosis, management, and prevention of Chronic Obstructive Lung Disease. 2021 GOLD Reports - Global Initiative for Chronic Obstructive Lung Disease - GOLD. [Internet]. [cited 2022]. Available from: https://goldcopd.org/2021-gold-reports/

2. Wang C, Zhou J, Wang J, et al. Progress in mechanisms and targeted drug therapy for COPD. Signal Transduction and Targeted Therapy. 2020;5(248):1-20. doi:10.1038/s41392-020-00333-6

3. Republic of Indonesia Ministry of Health. Smoking is the main cause of chronic obstructive pulmonary disease. Ministry of Health of the Republic of Indonesia. 2021.

4. Jareño-Esteban JJ, Muñoz-Lucas MÁ, Gómez-Martín Ó, et al. Study of 5 Volatile Organic Compounds in Exhaled Breath in Chronic Obstructive Pulmonary Disease. Arch Bronconeumol. 2017;53(5):251-256. doi:10.1016/j.arbres.2016.12.006

5. Basanta M, Ibrahim B, Dockry R, et al. Exhaled volatile organic compounds for phenotyping chronic obstructive pulmonary disease: a cross-sectional study. Respiratory research. 2012;13(1):72. doi:10.1186/1465-9921-13-72

6. Mansurova M, Ebert B, Blank L, Ibáñez A. A breath of information: the volatility. Curr Genet. 2018;64(4):959-964. doi:10.1007/s00294-018-0820-2

7. Pizzini A, Filipiak W, Wille J, et al. Analysis of volatile organic compounds in the breath of patients with stable or acute exacerbation of chronic obstructive pulmonary disease. Journal of breath research. 2018;12(3):036002. doi:10.1088/1752-7163/aabeb2

8. Besa V, Teschler H, Kurth I, et al. Exhaled volatile organic compounds discriminate patients with chronic obstructive pulmonary disease from healthy subjects. Int J Chron Obstruct Pulmon Dis. 2015;10:399–406. doi:10.2147/COPD.S77395

9. KaźMierczak M, Ciebiada M, Pękala-Wojciechowska A, et al. Evaluation of Markers of Inflammation and Oxidative Stress in COPD Patients with or without Cardiovascular Comorbidities. Heart, Lung and Circulation. 2015;24(8):817–823. doi:10.1016/j.hlc.2015.03.029

10. Kazeminasab S, Emamalizadeh B, Jouyban A, Shoja MM, Khoubnasabjafari M. Macromolecular biomarkers of chronic obstructive pulmonary disease in exhaled breath condensate. Biomarks. med. 2020;14(11):1047-1064. doi:10.2217/bmm-2020-0025

11. Tashkin DP, Wechsler ME. The role of eosinophils in airway inflammation of chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2018;13:335–349. doi:10.2147/COPD.S140512

12. Easter M, Bollenbecker S, Barnes JW, Krick S. Targeting Aging Pathways in Chronic Obstructive Pulmonary Disease. Int J Mol Sci. 2020;21(18):6924. doi:10.3390/ijms21186924

13. Kukrety SP, Parekh JD, Bailey KL. Chronic obstructive pulmonary disease and the hallmarks of aging. Lung India : official organ of Indian Chest Society. 2018;35(4):321–327. doi:10.4103/lungindia.lungindia_206_18

14. Zhang H, Wu F, Yi H, et al. Gender Differences in Chronic Obstructive Pulmonary Disease Symptom Clusters. Int J Chron Obstruct Pulmon Dis. 2021;16:1101–1107. doi:10.2147/COPD.S303100

15. Rodrigues SO, Cunha CMCD, Soares GMV, et al. Mechanisms, Pathophysiology and Currently Proposed Treatments of Chronic Obstructive Pulmonary Disease. Pharmaceuticals (Basel, Switzerland). 2021;14(10):979. doi:10.3390/ph14100979

16. Zhang L, Huang J, Dong R, Feng Y, Zhou M. Therapeutic potential of BLT1 antagonist for COPD: involvement of inducing autophagy and ameliorating inflammation. Drug design, development and therapy. 2019;13:3105–3116. doi:10.2147/DDDT.S216787

17. Baker JR, Donnelly LE. Leukocyte Function in COPD: Clinical Relevance and Potential for Drug Therapy. Int J Chron Obstruct Pulmon Dis. 2021;16:2227–2242. doi:10.2147/COPD.S295781

18. Semenzato U, Biondini D, Bazzan E, et al. Low-Blood Lymphocyte Number and Lymphocyte Decline as Key Factors in COPD Outcomes: A Longitudinal Cohort Study. Respiration; international review of thoracic diseases. 2021;100(7):618–630. doi:10.1159/000515556

19. Hikichi M, Mizumura K, Maruoka S, Gon Y. Pathogenesis of chronic obstructive pulmonary disease (COPD) induced by cigarette smoke. Journal of thoracic disease. 2019;11(Suppl 17):S2129–S2140. doi:10.21037/jtd.2019.08.77

20. Keogan S, Alonso T, Sunday S, et al. Project Investigators. TackSHS. A Low-Cost Device for Measurement of Exhaled Breath for the Detection of Obstructive Lung Disease. Biosensors. 2021;12:409. doi:10.3390/bios12030409

21. Ibrahim W, Natarajan S, Wilde M, et al. A systematic review of the diagnostic accuracy of volatile organic compounds in airway diseases and their relation to markers of type-2 inflammation. ERJ open research. 2021;7(3):00030-2021. doi:10.1183/23120541.00030-2021

22. Traphagen N, Tian Z, Allen-Gipson D. Chronic Ethanol Exposure: Pathogenesis of Pulmonary Disease and Dysfunction. Biomolecules. 2015;5(4):2840–2853. doi:10.3390/biom5042840

23. Xu WF, Upur H, Wu YH, et al. Metabolomic changes in patients with chronic obstructive pulmonary disease with abnormal Savda syndrome. Exp Ther Med. 2015;9(2):425–431. doi:10.3892/etm.2014.2105

24. Van Berkel JJ, Dallinga JW, Möller GM, et al. A profile of volatile organic compounds in breath discriminates COPD patients from controls. Respiratory medicine. 2010;104(4):557–563. doi:10.1016/j.rmed.2009.11.017

25. Filipiak W, et al. Dependent of exhaled breath composition on exogenous factors, smoking habits and exposure to air pollutants. J Breath Res. 2012;6:036008. doi:10.1088/1752-7155/6/3/036008

26. Ejazi MA, Shameem M, Bhargava R, et al. Correlation of exhaled carbon monoxide level with disease severity in chronic obstructive pulmonary disease. Indian Lungs. 2018;35(5):401-406. doi:10.4103/ijmr.IJMR_1157_17

27. Andersen ZJ, Jensen SS, Hvidberg M, Ketzel M. Chronic Obstructive Pulmonary Disease and Long-Term Exposure to Traffic-Related Air Pollution: A Cohort Study. Am J Respir Crit Care Med. 2011;183:455-461. doi:10.1164/rccm.201003-0433OC

28. Shahzad AA, Mushtaq S, Waris A, et al. A Low-Cost Device for Measurement of Exhaled Breath for the Detection of Obstructive Lung Disease. Biosensors. 2021;12:409. doi:10.3390/bios12030409

29. Wei X, Ding Q, Yu N, et al. Imaging Features of Chronic Bronchitis with Preserved Ratio and Impaired Spirometry (PRISm). Lung. 2018;196:649-658. doi:10.1007/s00408-018-0144-5

30. Allers M, Langejuergen J, Gaida A, et al. Measurement of exhaled volatile organic compounds from patients with chronic obstructive pulmonary disease (COPD) using closed fas loop GC-IMS and GC-APCI-MS.

31. David B, Bafadhel M, Koenderman L, et al. Eosinophilic inflammation in COPD: from an inflammatory marker to a treatable trait. Thorax. 2021;76:188-195. doi:10.1136/thoraxjnl-2019-214447

32. Nishimura M, Makita H, Nagai K, et al. Hokkaido COPD Cohort Study Investigators. Annual change in lung function and clinical phenotype in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2012;185(1):44–52. doi:10.1164/rccm.201105-0926OC

33. Papaioannou AI, Kostikas K, Papaporfyriou A, et al. The emphysematous phenotype is characterized by low blood eosinophils: a cross-sectional study. COPD. 2017;14(6):635–643. doi:10.1080/15412555.2017.136613.

 

 

Additional Files

Published

2024-03-28

How to Cite

1.
Santosa A, Putra NPP, Listyoko AS, Wardoyo AYP, Setijowati N. The Correlation between Volatile Organic Compounds (VOC) with Leukotriene B4 and Eosinophil Counts in Chronic Obstructive Pulmonary Disease Patients. Medica Hospitalia J. Clin. Med. [Internet]. 2024 Mar. 28 [cited 2024 Apr. 28];11(1):79-88. Available from: http://medicahospitalia.rskariadi.co.id/medicahospitalia/index.php/mh/article/view/1035

Issue

Section

Original Article

Citation Check