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Matrix Metalloproteinases as Markers of Acute Inflammation Process in the Pulmonary Tuberculosis

1
Medical Faculty, Saint-Petersburg State University, Universitetskaya emb. 7/9, Saint-Petersburg 199034, Russia
2
Saint-Petersburg State Research Institute of Phthisiopulmonology, Lygovsky avenue 2-4, Saint-Petersburg 191036, Russia
3
System Modeling Group, Institute for Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Königs weg 67, 14163 Berlin, Germany
4
Department of Theoretical Physics, Kursk State University, Kursk, Radishcheva st. 33 305000, Russia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Data 2019, 4(4), 137; https://doi.org/10.3390/data4040137
Received: 26 August 2019 / Revised: 2 October 2019 / Accepted: 3 October 2019 / Published: 5 October 2019
(This article belongs to the Special Issue Benchmarking Datasets in Bioinformatics)
The main factors of pathogenesis in the pulmonary tuberculosis are not only the bacterial virulence and sensitivity of the host immune system to the pathogen, but also the degree of destruction of the lung tissue. Such destruction processes lead to the development of caverns, in most cases requiring surgical interventions besides the drug therapy. Identification of special biochemical markers allowing to assess the necessity of surgery or therapy prolongation remains a challenge. We consider promising markers—metalloproteinases—analyzing the data obtained from patients with pulmonary tuberculosis infected by different strains of Mycobacterium tuberculosis. We argue that the presence of drug-resistant strains in lungs leading to complicated clinical prognosis could be justified not only by the difference in medians of biomarkers concentration (as determined by the Mann–Whitney test for small samples), but also by the qualitative difference in their probability distributions (as detected by the Kolmogorov–Smirnov test). Our results and the provided raw data could be used for further development of precise biochemical data-based diagnostic and prognostic tools for pulmonary tuberculosis. View Full-Text
Keywords: pulmonary tuberculosis; clinical data; matrix proteinases; statistical analysis pulmonary tuberculosis; clinical data; matrix proteinases; statistical analysis
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Lavrova, A.I.; Esmedljaeva, D.S.; Belik, V.; Postnikov, E.B. Matrix Metalloproteinases as Markers of Acute Inflammation Process in the Pulmonary Tuberculosis. Data 2019, 4, 137.

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