dc.contributor.author
Lavrova, Anastasia I.
dc.contributor.author
Esmedljaeva, Diljara S.
dc.contributor.author
Belik, Vitaly
dc.contributor.author
Postnikov, Eugene B.
dc.date.accessioned
2019-10-31T13:15:46Z
dc.date.available
2019-10-31T13:15:46Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/25852
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-25613
dc.description.abstract
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.
en
dc.format.extent
8 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
pulmonary tuberculosis
en
dc.subject
clinical data
en
dc.subject
matrix proteinases
en
dc.subject
statistical analysis
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::616 Krankheiten
dc.title
Matrix Metalloproteinases as Markers of Acute Inflammation Process in the Pulmonary Tuberculosis
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
137
dcterms.bibliographicCitation.doi
10.3390/data4040137
dcterms.bibliographicCitation.journaltitle
Data
dcterms.bibliographicCitation.number
4
dcterms.bibliographicCitation.volume
4
dcterms.bibliographicCitation.url
https://doi.org/10.3390/data4040137
refubium.affiliation
Veterinärmedizin
refubium.affiliation.other
Institut für Veterinär-Epidemiologie und Biometrie
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin und der DFG gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2306-5729