Cytokine-neuroendocrine peripheral signature in the context of the “accelerated ageing” phenomenon in autism spectrum and schizophrenia spectrum disorders

Cover Page


Cite item

Full Text

Abstract

Currently, differentiation between autism spectrum disorders and schizophrenia spectrum disorders in children is a difficult task, because it relies mainly on behavioral and symptomatic characteristics, since these disorders are highly similar. We have previously demonstrated that peripheral indexes of immune and neuroendocrine systems, which we combined into cytokine-neuroendocrine signature, may reflect distinct clinical phenotypes of autism and schizophrenia spectrum disorders. Moreover, a number of researchers discovered the “accelerated ageing” phenomenon in the persons with schizophrenia, which includes deficiencies of cognitive functions and performance as the main symptoms. Here we carried out a search for biological markers of the “accelerated ageing” phenomenon in children with autistic conditions and schizophrenia spectrum disorders. Our aim was to assess the opportunity of applying the cytokine-neuroendocrine signature as biological evidence of “accelerated ageing” phenomenon in children with autism and schizophrenia spectrum disorders, which could be potentially useful for differential diagnosis of these disorders.

Thirteen parameters of the cytokine-neuroendocrine signature were assessed in blood plasma using ELISA method in 82 children with autism, 9 children with schizophrenia, 45 normally developing children, 25 subjects in their reproductive age, and 39 elderly persons: cytokines (IL-6, IL- 1β, IFNγ, TNFα, IL-10, IL-4) and neurohormones (oxytocin, dopamine, adrenaline, noradrenaline, adrenocorticotropic hormone, cortisol, and serotonin). The nonlinear principal component analysis (CATPCA algorithm) was used to assess the variants of cytokine-neuroendocrine signature for different diagnostic categories, i.e., “autism spectrum disorders”, “schizophrenia spectrum disorders”, and “healthy ageing”.

The “healthy ageing” variant of cytokine-neuroendocrine signature presented a classic phenomenon, referred to as immune senescence presented by pro-inflammatory age-related cytokines — IL-6, IL- 1β, IFNγ. Only the “schizophrenia spectrum disorders” variant of the cytokine-neuroendocrine signature, unlike all the other signature variants, demonstrated high-level similarity with the “healthy ageing” variant (differing in 2 out of 13 indexes): lower levels of IL- 1β and IFNγ, at the same level of IL-6 “gerontological cytokine” index.

Evaluation of the cytokine-neuroendocrine signature can be used for differentiation between autistic disorders and schizophrenia spectrum disorders, including predictive diagnostics in children with autism, thus enabling group selection of children at risk for later conversion to schizophrenia.

About the authors

Yu. Yu. Filippova

Chelyabinsk State University

Author for correspondence.
Email: julse@rambler.ru

Yuliya Yu. Filippova - PhD (Biology), Associate Professor,  Department of Microbiology, Immunology and General biology, Faculty of Biology, Chelyabinsk State University.

454001, Chelyabinsk, Bratiev Kashirinykh str., 129.

Phone: 7 (351) 799-71-76.

Russian Federation

A. L. Burmistrova

Chelyabinsk State University

Email: julse@rambler.ru

PhD, MD (Medicine), Professor, Head,  Department of Microbiology, Immunology and General Biology, Faculty of Biology, Chelyabinsk State University.

454001, Chelyabinsk, Bratiev Kashirinykh str., 129.

Russian Federation

References

  1. Бурмистрова А.Л., Филиппова Ю.Ю. Конгруэнтность и фенотипическая пластичность иммунной и нервной систем у детей с расстройствами аутистического спектра в сравнении с расстройствами шизофренического спектра // Медицинская иммунология, 2020. Т. 22, № 4. С. 703-716. doi: 10.15789/1563-0625-CAP-1968.
  2. Barlati S., Deste G. Autism spectrum disorder and schizophrenia: do they overlap? Int. J. Emerg. Ment. Health, 2016, Vol. 18, no. 1, pp. 760-763.
  3. Caspi A., Reichenberg A., Weiser M., Rabinowitz J., Kaplan Z., Knobler H., Davidson-Sagi N., Davidson M. Cognitive performance in schizophrenia patients assessed before and following the first psychotic episode. Schizophr. Res., 2003, Vol. 65, no. 2-3, pp. 87-94.
  4. Del Rey A., Besedovsky H.O. Immune-neuro-endocrine reflexes, circuits, and networks: physiologic and evolutionary implications. Front. Horm. Res., 2017, Vol. 48, pp. 1-18.
  5. Franceschi C., Salvioli S., Garagnani P., de Eguileor M., Monti D., Capri M. Immunobiography and the heterogeneity of immune responses in the elderly: a focus on inflammaging and trained immunity. Front. Immunol., 2017, Vol. 8, 982. doi: 10.3389/fimmu.2017.00982.
  6. Gandal M.J., Zhang P., Hadjimichael E., Walker R.L., Chen C., Liu S., Won H., van Bakel H., Varghese M., Wang Y., Shieh A.W., Haney J., Parhami S., Belmont J., Kim M., Moran Losada P., Khan Z., Mleczko J., Xia Y., Dai R., Wang D., Yang Y.T., Xu M., Fish K., Hof P.R., Warrell J., Fitzgerald D., White K., Jaffe A.E., PsychENCODE Consortium, Peters M.A., Gerstein M., Liu C., Iakoucheva L.M., Pinto D., Geschwind D.H. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder. Science, 2018, Vol. 362, no. 6420, eaat8127. doi: 10.1126/science.aat8127.
  7. Gupta D., Morley J.E. Hypothalamic-pituitary-adrenal (HPA) axis and aging. Compr. Physiol., 2014, Vol. 4, no. 4, pp. 1495-1510.
  8. Harvey P.D., Rosenthal J.B. Cognitive and functional deficits in people with schizophrenia: evidence for accelerated or exaggerated aging? Schizophr. Res., 2018, Vol. 196, pp. 14-21.
  9. Heffner K.L. Neuroendocrine effects of stress on immunity in the elderly: implications for inflammatory disease. Immunol. Allergy Clin. North. Am., 2011, Vol. 31, no. 1, pp. 95-108.
  10. Hommer R.E., Swedo S.E. Schizophrenia and autism-related disorders. Schizophr. Bull., 2015, Vol. 41, no. 2, pp. 313-314.
  11. Kelley K.W., McCusker R.H. Getting nervous about immunity. Semin. Immunol., 2014, Vol. 26, no. 5, pp. 389-393.
  12. Kipnis J., Gadani S., Derecki N.C. Pro-cognitive properties of T cells. Nat. Rev. Immunol., 2012, Vol. 12, no. 9, pp. 663-669.
  13. Krabbe K.S., Pedersen M., Bruunsgaard H. Inflammatory mediators in the elderly. Exp. Gerontol., 2004, Vol. 39, no. 5, pp. 687-699.
  14. McHugh D., Gil J. Senescence and aging: causes, consequences, and therapeutic avenues. J. Cell. Biol., 2018, Vol. 217, no. 1, pp. 65-77.
  15. Mouridsen S.E., Rich B., Isager T. Psychiatric disorders in adults diagnosed as children with atypical autism. A case control study. J. Neural. Transm., 2008, Vol. 115, no. 1. pp. 135-138.
  16. Vallejo A.N., Mueller R.G., Hamel D.L. Jr., Way A., Dvergsten J.A., Griffin P., Newman A.B. Expansions of NK-like авТ cells with chronologic aging: novel lymphocyte effectors that compensate for functional deficits of conventional NK cells and T cells. Ageing Res. Rev., 2011, Vol. 10, no. 3, pp. 354-361.
  17. Yirmiya R., Goshen I. Immune modulation of learning, memory, neural plasticity and neurogenesis. Brain Behav. Immun., 2011, Vol. 25, no. 2, pp. 181-213.

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2021 Filippova Y.Y., Burmistrova A.L.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ПИ № 77 - 11525 от 04.01.2002.


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies