Early diagnostic value of serum miR-134-5p and miR-320a combined with pulmonary function index in coal worker pneumoconiosis patients

doi:10.11958/20221645

Abstract

Abstract:

Objective To explore the value of serum miR-134-5p and miR-320a combined with pulmonary function indexes in the early clinical diagnosis of pneumoconiosis. Methods Forty cases of coal workers' pneumoconiosis (CWP), 40 cases of coal mine dust exposed physical examination population and 40 cases of healthy physical examination population in the same period were included in this study. Expression levels of serum miR-134-5p and miR-320a were detected by qRT-PCR assay. Lung function indexes were detected in three groups, including maximum ventilation volume (MVV), forced vital capacity (FVC), forced expiratory volume 1 (FEV1), forced expiratory volume 3 (FEV3), FEV1/FVC, FEV3/FVC, maximum mid-expiratory flow (MMEF), peak expiratory flow (PEF), 75 % maximal expiratory flow (MEF75), 50% maximal expiratory flow (MEF50), 25% maximal expiratory flow (MEF25), residual volume (RV), RV/total lung capacity (TLC), functional residual capacity (FRC) and alveolar ventilation (VA). Logistic regression was used to analyze risk factors of CWP in coal mine dust-related operations. Receiver operating characteristic (ROC) curve was used to analyze the early diagnostic value of miRNA combined with pulmonary function index in patients with CWP. Results The expression levels of serum miR-134-5p, miR-320a, MVV, FEV1, FEV1/FVC, MMEF, MEF50, FRC and VA were decreased gradually in the control group, the dust exposure group and the CWP group (P<0.05). Multiple Logistic regression analysis showed that the decrease of FRC was an independent risk factor for CWP in coal mine dust exposure population (P<0.05). miR-134-5p and miR-320a combined with lung function index FRC showed high diagnostic efficacy in predicting CWP disease in coal mine dust-related operations, with an AUC of 0.975 (95%CI: 0.948-1.000). Conclusion The combination of serum miR-134-5p, miR-320a and lung function index FRC has important reference value for the clinical diagnosis in patients with early CWP.

Key words: anthracosis, functional residual capacity, respiratory function tests, miR-134-5p, miR-320a

CLC Number:

R563.9

Figures/Tables 6

References 20

[1]	BATOOL A I, NAVEED N H, ASLAM M, et al. Coal dust-induced systematic hypoxia and redox imbalance among coal mine workers[J]. ACS Omega, 2020, 5(43):28204-28211. doi:10.1021/acsomega.0c03977.
[2]	WU Q, JIAO B, ZHANG Q, et al. Identification of circRNA expression profiles and the potential role of hsa_circ_0006916 in silicosis and pulmonary fibrosis[J]. Toxicology, 2023, 483:153384. doi:10.1016/j.tox.2022.153384.
[3]	LIU K, DENG Y, YANG Y, et al. MicorRNA-195 links long non-coding RNA SEMA3B antisense RNA 1(head to head)and cyclin D1 to regulate the proliferation of glioblastoma cells[J]. Bioengineered, 2022, 13(4):8798-8805. doi:10.1080/21655979.2022.2052646.
[4]	SCHOBER A, MALEKI S S, NAZARI-JAHANTIGH M. Regulatory non-coding RNAs in atherosclerosis[J]. Handb Exp Pharmacol, 2022, 270:463-492. doi:10.1007/164_2020_423.
[5]	SHARMA A R, SHARMA G, BHATTACHARYA M, et al. Circulating miRNA in atherosclerosis:a clinical biomarker and early diagnostic tool[J]. Curr Mol Med, 2022, 22(3):250-262. doi:10.2174/1566524021666210315124438.
[6]	SUN W, LI Y, MA D, et al. ALKBH5 promotes lung fibroblast activation and silica-induced pulmonary fibrosis through miR-320a-3p and FOXM1[J]. Cell Mol Biol Lett, 2022, 27(1):26. doi:10.1186/s11658-022-00329-5.
[7]	HUANG R, YU T, LI Y, et al. Upregulated has-miR-4516 as a potential biomarker for early diagnosis of dust-induced pulmonary fibrosis in patients with pneumoconiosis[J]. Toxicol Res(Camb), 2018, 7(3):415-422. doi:10.1039/c8tx00031j.
[8]	翟鹏勇, 李海学, 赵瑞峰, 等. 煤工尘肺临床表型研究[J]. 中华劳动卫生职业病杂志, 2020, 38(5):374-378.
	ZHAI P Y, LI H X, ZHAO R F, et al. Study on clinical phenotype of coal workers pneumoconiosis[J]. Chinese Journal of Industrial Hygiene and Occupational Diseases, 2020, 38(5):374-378. doi:10.3760/cma.j.cn121094-20190529-00162.
[9]	ZHANG R, LIU S, ZHENG S. Characterization of nano-to-micron sized respirable coal dust:particle surface alteration and the health impact[J]. J Hazard Mater, 2021, 413:125447. doi:10.1016/j.jhazmat.2021.125447.
[10]	DEVNATH L, SUMMONS P, LUO S, et al. Computer-aided diagnosis of coal workers' pneumoconiosis in chest X-ray radiographs using machine learning:a systematic literature review[J]. Int J Environ Res Public Health, 2022, 19(11):6439. doi:10.3390/ijerph19116439.
[11]	胡湘宜, 韦云秋, 黄坚芳, 等. 呼吸训练器在尘肺患者肺泡灌洗的应用[J]. 工业卫生与职业病, 2021, 47(6):499-501.
	HU X Y, WEI Y Q, HUANG J F, et al. Application of respiratory training device in pneumoconiosis patients treated with alveolar lavage[J]. Ind Hlth & Occup Dis, 2021, 47(6):499-501. doi:10.13692/j.cnki.gywsyzyb.2021.06.016.
[12]	YANG M, LI B, WANG B, et al. Lung injury induced by different negative suction pressure in patients with pneumoconiosis undergoing whole lung lavage[J]. BMC Pulm Med, 2022, 22(1):152. doi:10.1186/s12890-022-01952-w.
[13]	NJOCK M S, GUIOT J, HENKET M A, et al. Sputum exosomes:promising biomarkers for idiopathic pulmonary fibrosis[J]. Thorax, 2019, 74(3):309-312. doi:10.1136/thoraxjnl-2018-211897.
[14]	PATTARAYAN D, THIMMULAPPA R K, RAVIKUMAR V, et al. Diagnostic potential of extracellular microRNA in respiratory diseases[J]. Clin Rev Allergy Immunol, 2018, 54(3):480-492. doi:10.1007/s12016-016-8589-9.
[15]	ALIPOOR S D, ADCOCK I M, GARSSEN J, et al. The roles of miRNAs as potential biomarkers in lung diseases[J]. Eur J Pharmacol, 2016, 791:395-404. doi:10.1016/j.ejphar.2016.09.015.
[16]	HE X, SHEN H, CHEN Z, et al. Element-based prognostics of occupational pneumoconiosis using micro-proton-induced X-ray emission analysis[J]. Am J Physiol Lung Cell Mol Physiol, 2017, 313(6):L1154-L1163. doi:10.1152/ajplung.00009.2017.
[17]	JO B S, LEE J, CHO Y, et al. Risk factors associated with mortality from pneumonia among patients with pneumoconiosis[J]. Ann Occup Environ Med, 2016, 28:19. doi:10.1186/s40557-016-0103-6.
[18]	HE W, JIN N, DENG H, et al. Workers' occupational dust exposure and pulmonary function assessment:cross-sectional study in China[J]. Int J Environ Res Public Health, 2022, 19(17):11065. doi:10.3390/ijerph191711065.
[19]	ZHOU S, WANG Y, YU C, et al. Metal exposure-related welder's pneumoconiosis and lung function:a cross-sectional study in a container factory of China[J]. Int J Environ Res Public Health, 2022, 19(24):16809. doi:10.3390/ijerph192416809.
[20]	GU Y, HE W, WANG Y, et al. Respiratory effects induced by occupational exposure to refractory ceramic fibers[J]. J Appl Toxicol, 2021, 41(3):421-441. doi:10.1002/jat.4053.

组别	n	miR-134-5p	miR-320a
对照组	40	1.004（0.793，1.513）	1.041（0.813，1.663）
接尘组	40	0.821（0.582，1.222）^a	0.785（0.662，1.307）^a
CWP组	40	0.168（0.082，0.729）^ab	0.256（0.097，0.882）^ab
χ²		74.325^＊	66.515^＊

组别	n	miR-134-5p	miR-320a
对照组	40	1.004（0.793，1.513）	1.041（0.813，1.663）
接尘组	40	0.821（0.582，1.222）^a	0.785（0.662，1.307）^a
CWP组	40	0.168（0.082，0.729）^ab	0.256（0.097，0.882）^ab
χ²		74.325^＊	66.515^＊

组别	MVV/%	FVC/L	FEV1/%	FEV3/%	FEV1/FVC/%	FEV3/FVC/%	MMEF/%
对照组	87.97±5.65	7.32±1.15	34.09±11.02	34.59（13.55，41.06）	4.71±1.50	4.07±2.15	63.59（51.83，72.99）
接尘组	51.59±8.11^a	7.40±0.83	23.49±6.46^a	27.47（12.06，39.34）	3.20±0.95^a	3.63±2.05	49.85（39.24，60.44）^a
CWP组	45.55±6.17^ab	7.72±1.09	14.23±4.97^ab	25.89（13.34，37.26）	1.95±0.85^ab	3.31±1.80	22.15（18.13，32.06）^ab
F或χ²	464.936^＊＊	0.932	64.757^＊＊	1.436	59.583^＊＊	1.441	73.263^＊＊
组别	PEF/%	MEF75/%	MEF50/%	MEF25/%	RV/TLC/%	FRC/dL	VA/%
对照组	7.22±2.46	33.63（19.84，42.25）	10.14±2.73	54.00±11.82	37.30±9.79	18.50（13.55，25.95）	41.09±13.33
接尘组	6.90±1.73	31.09（19.78，41.31）	7.14±1.90^a	57.77±10.33	38.83±8.01	9.22（6.37，12.54）^a	28.54±7.85^a
CWP组	7.21±1.17	27.65（18.90，36.35）	4.11±1.61^ab	55.83±7.10	38.77±6.16	2.52（1.06，4.17）^ab	16.53±6.35^ab
F或χ²	0.393	2.367	79.892^＊＊	2.008	0.457	84.323^＊＊	64.669^＊＊

组别	MVV/%	FVC/L	FEV1/%	FEV3/%	FEV1/FVC/%	FEV3/FVC/%	MMEF/%
对照组	87.97±5.65	7.32±1.15	34.09±11.02	34.59（13.55，41.06）	4.71±1.50	4.07±2.15	63.59（51.83，72.99）
接尘组	51.59±8.11^a	7.40±0.83	23.49±6.46^a	27.47（12.06，39.34）	3.20±0.95^a	3.63±2.05	49.85（39.24，60.44）^a
CWP组	45.55±6.17^ab	7.72±1.09	14.23±4.97^ab	25.89（13.34，37.26）	1.95±0.85^ab	3.31±1.80	22.15（18.13，32.06）^ab
F或χ²	464.936^＊＊	0.932	64.757^＊＊	1.436	59.583^＊＊	1.441	73.263^＊＊
组别	PEF/%	MEF75/%	MEF50/%	MEF25/%	RV/TLC/%	FRC/dL	VA/%
对照组	7.22±2.46	33.63（19.84，42.25）	10.14±2.73	54.00±11.82	37.30±9.79	18.50（13.55，25.95）	41.09±13.33
接尘组	6.90±1.73	31.09（19.78，41.31）	7.14±1.90^a	57.77±10.33	38.83±8.01	9.22（6.37，12.54）^a	28.54±7.85^a
CWP组	7.21±1.17	27.65（18.90，36.35）	4.11±1.61^ab	55.83±7.10	38.77±6.16	2.52（1.06，4.17）^ab	16.53±6.35^ab
F或χ²	0.393	2.367	79.892^＊＊	2.008	0.457	84.323^＊＊	64.669^＊＊

变量	β	SE	Wald χ²	P	OR	OR 95%CI
MVV	-0.003	0.005	0.302	0.583	0.997	0.989~1.006
FEV1	-0.023	0.012	4.076	0.044	0.977	0.955~0.999
FEV1/FVC	-1.527	0.347	19.338	0.000	0.217	0.110~0.429
MMEF	-0.015	0.006	6.880	0.009	0.985	0.974~0.996
MEF50	-0.075	0.040	3.582	0.058	0.928	0.858~1.003
FRC	-0.139	0.040	12.326	0.000	0.870	0.805~0.940
VA	-0.019	0.010	3.636	0.057	0.981	0.962~1.001
miR-134-5p	-7.588	1.764	18.499	0.000	0.001	0.000~0.016
miR-320a	-6.495	1.428	20.681	0.000	0.002	0.000~0.025