Cluster analysis of inflammatory markers in disorders of adaptation

Simonov A.N.; Klyushnik T.P.; Androsova L.V.; Nikitina V.B.; Vetlugina T.P.

doi:https://doi.org/10.17116/jnevro20181187159

Simonov A.N.

Mental Health Research Center, Moscow, Russia

Klyushnik T.P.

Scientific center of mental health, Moscow, Russia

Androsova L.V.

Scientific center of mental health, Moscow, Russia

Nikitina V.B.

Mental Health Research Institute», Tomsk, Russia

Vetlugina T.P.

Cluster analysis of inflammatory markers in disorders of adaptation

Authors:

Simonov A.N., Klyushnik T.P., Androsova L.V., Nikitina V.B., Vetlugina T.P.

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Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2018;118(7): 59‑66

DOI: 10.17116/jnevro20181187159

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To cite this article:

Simonov AN, Klyushnik TP, Androsova LV, Nikitina VB, Vetlugina TP. Cluster analysis of inflammatory markers in disorders of adaptation. S.S. Korsakov Journal of Neurology and Psychiatry. 2018;118(7):59‑66. (In Russ.)
https://doi.org/10.17116/jnevro20181187159

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова (S.S. Korsakov Journal of Neurology and Psychiatry)

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Abstract:

Objective. To determine immunophenotypes of patients with adaptation disorders using cluster analysis. The level of inflammatory markers such as leukocyte elastase (LE) enzyme activity and functional activity of α1-protease inhibitor (α1-PI) were used as a classifying attribute (characteristic). Material and methods. The results of evaluation of enzymatic activity of LE and functional activity of α1-PI in 40 patients with adaptation disorders (ICD-10 F43.2) were subjected to cluster analysis. The control group included 23 age- and sex-matched healthy controls. Results. Several algorithms of cluster analysis allow to identify three immunophenotypes in the group of patients with adaptation disorders. Immunophenotypes differed significantly by ratios of LE and α1-PI activity, which were mostly driven by different LE activity. Cluster 1 with the relatively low LE activity and high background α1-PI, is of particular interest because it may reflect the disturbed interaction between the various links of immune response. Conclusion. The obtained results of cluster analysis confirm the hypothesis about the existence of three immunophenotypes in the patients with adaptation disorders, which indicates that a phenotypically similar pattern can be determined by different spectra of immune indices.

Keywords:

adaptation disorders

cluster analysis

leukocyte elastase

α1-proteinase inhibitor

Authors:

Simonov A.N.

Mental Health Research Center, Moscow, Russia

Klyushnik T.P.

Scientific center of mental health, Moscow, Russia

Androsova L.V.

Scientific center of mental health, Moscow, Russia

Nikitina V.B.

Mental Health Research Institute», Tomsk, Russia

Vetlugina T.P.

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References:

Khandaker GM, Cousins L, Deakin J, Lennox BR, Yolken R, Jones PB. Inflammation and immunity in schizophrenia: implications for pathophysiology and treatment. Lancet Psychiatry. 2015;2(3):258-270. Epub 2015 Feb 25. https://doi.org/10.1016/S2215-0366(14)00122-9
Feigenson KA, Kusnecov AW, Silverstein SM. Inflammation and the two-hit hypothesis of schizophrenia. Neurosci Biobehav Rev. 2014;38:72-93. Epub 2013 Nov 15. https://doi.org/10.1016/j.neubiorev.2013.11.006.
Fillman SG, Sinclair D, Fung SJ, Webster MJ, Shannon Weickert C. Markers of inflammation and stress distinguish subsets of individuals with schizophrenia and bipolar disorder. Transl Psychiatry. 2014;4:365. https://doi.org/10.1038/tp.2014.8
Zozulya SA, Oleichik IV, Androsova LV, Otman IN, Sarmanova ZV, Stolyarov SA, Bizyaeva AS, Yunilainen OA, Klyushnik TP. Monitoring techeniya endogennykh psikhozov po immunologicheskim pokazatelyam. Zh Psikhicheskoe zdorov’e. 2017;1:11-18. (In Russ.)
Volel’ BA, Makukh EA, Lebedeva MV, Popova EN, Sholomova VI, Androsova LV, Mukhin NA, Brovko MYu, Klyushnik TP. Kliniko-laboratornye markery astenicheskogo sindroma u bol’nykh sarkoidozom. Vrach, Nauchno-prakticheskii zhurnal. 2016;7:74-76. (In Russ.)
Yakimets AV, Zozulya SA, Oleichik IV, Klyushnik TP. Osobennosti dinamiki kliniko-biologicheskikh pokazatelei astenicheskogo simptomokompleksa u bol’nykh shizofreniei v protsesse immunotropnoi terapii. Zhurnal Nevrologii i Psikhiatrii im. S.S. Korsakova. 2018;118:3:70-76. (In Russ.) https://doi.org/10.17116/jnevro20181183170-76
Vetlugina TP, Nikitina VB, Sergeeva SA, Axenov MM, Lobacheva OA, Savochkina DN, Epanchintseva EM, Bokhan NA. Influence of adamantilbromphenylamine on parameters of immunity and symptoms of asthenia in patients with non-psychotic mental disorders. Vestnik Rossiiskoi akademii meditsinskikh nauk. 2015;70(4):468-474. (In Russ.) https://doi.org/10.15690/vramn.v70.i4.1414
Vetlugina TP, Nevidimova TI, Nikitina VB, Lobacheva OA, Bokhan NA, Semke VYa. Pathogenetic background of technology of immunocorrection in mental disorders and dependence illnesses. Sibirskii vestnik psikhiatrii i narkologii. 2013;1:7-12. (In Russ.) http://svpin.org/index.php/menujournal-ru/27-2013-ru/72-n76-ru
Dotsenko VL, Neshkova EA, Yarovaya GA. Detection of leukocyte elastase from complex with plasma α1-proteinase inhibitor by it enzymatic activity with a synthetic substrate. Vopr Med Khimii. 1994;40(3):20-25. (In Russ.)
Nartikova VF, Paskhina TS. A unified method for assay of alpha-1-antitrypsin and alpha-2-macroglobulin activity in human serum (plasma). Vopr Med Khimii. 1979;25(4):494-499. (In Russ.)
Mandel’ ID. Klasternyi analiz. M.: Finansy i statistika; 1988. (In Russ.)
Dyuran B, Odell P. Klasternyi analiz. Per. s angl. M.: Statistika; 1977. (In Russ.)
Kim Dzh-O, M’yuller ChU, Klekka UR i dr. Faktornyi, diskriminantnyi i klasternyi analiz. Per. s angl. M.: Finansy i statistika; 1989. (In Russ.)
Aivazyan SA, Bukhshtaber VM, Enyukov IS, Meshalkin LD. Prikladnaya statistika: klassifikatsiya i snizhenie razmernosti. M.: Finansy i statistika; 1989. (In Russ.)
Klasternyi analiz. Sbornik pod red. Raizin D.V. Per. s angl. M.: Mir; 1980. (In Russ.)
Shitikov VK, Mastitskii SE. Klassifikatsiya, regressiya, algoritmy Data Mining s ispol'zovaniem R. 2017. Elektronnaya kniga, adres dostupa: https://github.com/ranalytics/data-mining
Mantovani A, Cassatella MA, Costantini C, Jaillon S.Neutrophils in the activation and regulation of innate and adaptive immunity. Nat Rev Immunol. 2011;11(8):519-531. https://doi.org/10.1038/nri3024
Kolaczkowska E, Kubes P. Neutrophil recruitment and function in health and inflammation. Nat Rev Immunol. 2013;13(3):159-175. https://doi.org/10.1038/nri3399
Mayadas TN, Cullere X, Lowell CA. The multifaceted functions of neutrophils. Annu Rev Pathol. 2014;9:181-218. Epub 2013 Sep 16. https://doi.org/10.1146/annurev-pathol-020712-164023
Hampton HR, Chtanova T. The lymph node neutrophil. Semin Immunol. 2016;28(2):129-136. Epub 2016 Mar 26. https://doi.org/10.1016/j.smim.2016.03.008
Pham CT. Neutrophil serine proteases fine-tune the inflammatory response. Int J Biochem Cell Biol. 2008;40(6-7):1317-1333. Epub 2007 Nov 29. https://doi.org/10.1016/j.biocel.2007.11.008
Kravtsov AL, Shmel’kova TP. Sekretornaya degranulyatsiya neitrofilov kak trigger vospaleniya i regulyator immunnogo otveta: rol’ serinovykh leikotsitarnykh proteaz i proteoliticheski aktiviruemykh retseptorov. Epidemiologiya i Vaktsinoprofilaktika. 2011;1(56):79-87. (In Russ.) http:www.epidemvac.ru/arhiv/2011/02/
Klyushnik TP, Zozulya SA, Oleichik IV. Markery aktivatsii immunnoi sistemy v monitoringe techeniya endogennykh psikhicheskikh zabolevanii. V kn.: Biologicheskie markery shizofrenii: poisk i klinicheskoe primenenie. Pod red. akad. RAN Bokhana N.A., prof. Ivanovoi S.A. Novosibirsk: Izd-vo SO RAN; 2017. (In Russ.)