Immunological and Neuroanatomical Markers for the Dynamics of Predementia Cognitive Disorders during Neurorehabilitation
Objectives . To study the relationship between measures of immunity and systemic inflammation and structural magnetic resonance imaging (MRI) indicators in patients with pre-dementia cognitive disorders (pre CI) during neurocognitive rehabilitation with the aim of identifying candidate markers for t...
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creator | Malashenkova, I. K. Krynskiy, S. A. Ogurtsov, D. P. Khailov, N. A. Filippova, E. A. Moskvina, S. N. Ushakov, V. L. Orlov, V. A. Andryushchenko, A. V. Osipova, N. G. Syunyakov, T. S. Savilov, V. B. Karpenko, O. A. Kurmyshev, M. V. Kostyuk, G. P. Didkovsky, N. A. |
description | Objectives
. To study the relationship between measures of immunity and systemic inflammation and structural magnetic resonance imaging (MRI) indicators in patients with pre-dementia cognitive disorders (pre CI) during neurocognitive rehabilitation with the aim of identifying candidate markers for the efficacy of this rehabilitation.
Materials and methods.
The study group consisted of 49 patients with preMCI with memory impairments; patients were aged 60 years and older and underwent five-week neurorehabilitation courses. The control group consisted of 19 volunteers of similar age without cognitive disorders or immune-inflammatory disorders. Measures of cellular and humoral immunity and inflammatory markers were determined and structural MRI was performed.
Results
. preMCI was found to be associated with an elevated content of activated natural killers (NK cells) (0.63 ± 0.12% versus 0.22 ± 0.07% in the control group,
p
= 2.2 10
–7
). Immunoglobulin G (IgG) levels of |
doi_str_mv | 10.1007/s11055-024-01732-5 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3149937647</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3149937647</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1155-7990d33f6a4fba185dd5c8f038f03c34255f381f6095218778c5b546279fbd423</originalsourceid><addsrcrecordid>eNp9kEtPxCAUhYnRxHH0D7gicV2FAqUszfiaZHwsNHFHaAszjC2M0Brn38tMTdy5uCG5nO_cnAPAOUaXGCF-FTFGjGUopxnCnOQZOwATzDjJSiHeD8EEIcEzxKg4BicxrlGCeIkm4HvedYPzrV_aWrVQuQY-6SF45VTvu_3uUYUPHSI0PsB-peHN1qn0E6E38CXoRnfa9VbBmV8629uvpLDRh2bHNEOwbjlaBr1SlW1tr3rr3Sk4MqqN-uz3nYK3u9vX2UO2eL6fz64XWY1xSsSFQA0hplDUVAqXrGlYXRpEdlMTmjNmSIlNgQTLcZlC1axitMi5MFVDczIFF6PvJvjPQcderv0QXDopCaZCEF5QnlT5qKqDjzFoIzfBdipsJUZy17AcG5apYblvWLIEkRGKm11KHf6s_6F-APl3f9c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3149937647</pqid></control><display><type>article</type><title>Immunological and Neuroanatomical Markers for the Dynamics of Predementia Cognitive Disorders during Neurorehabilitation</title><source>SpringerLink Journals</source><creator>Malashenkova, I. K. ; Krynskiy, S. A. ; Ogurtsov, D. P. ; Khailov, N. A. ; Filippova, E. A. ; Moskvina, S. N. ; Ushakov, V. L. ; Orlov, V. A. ; Andryushchenko, A. V. ; Osipova, N. G. ; Syunyakov, T. S. ; Savilov, V. B. ; Karpenko, O. A. ; Kurmyshev, M. V. ; Kostyuk, G. P. ; Didkovsky, N. A.</creator><creatorcontrib>Malashenkova, I. K. ; Krynskiy, S. A. ; Ogurtsov, D. P. ; Khailov, N. A. ; Filippova, E. A. ; Moskvina, S. N. ; Ushakov, V. L. ; Orlov, V. A. ; Andryushchenko, A. V. ; Osipova, N. G. ; Syunyakov, T. S. ; Savilov, V. B. ; Karpenko, O. A. ; Kurmyshev, M. V. ; Kostyuk, G. P. ; Didkovsky, N. A.</creatorcontrib><description>Objectives
. To study the relationship between measures of immunity and systemic inflammation and structural magnetic resonance imaging (MRI) indicators in patients with pre-dementia cognitive disorders (pre CI) during neurocognitive rehabilitation with the aim of identifying candidate markers for the efficacy of this rehabilitation.
Materials and methods.
The study group consisted of 49 patients with preMCI with memory impairments; patients were aged 60 years and older and underwent five-week neurorehabilitation courses. The control group consisted of 19 volunteers of similar age without cognitive disorders or immune-inflammatory disorders. Measures of cellular and humoral immunity and inflammatory markers were determined and structural MRI was performed.
Results
. preMCI was found to be associated with an elevated content of activated natural killers (NK cells) (0.63 ± 0.12% versus 0.22 ± 0.07% in the control group,
p
= 2.2 10
–7
). Immunoglobulin G (IgG) levels of <12.5 g/liter in patients with preMCI and scores of <22 on the Montreal Cognitive Assessment (MoCA) were associated with decreases in the volume of the right nucleus accumbens (376 ± 35 mm
3
with IgG <12.5 g/liter (
p
= 0.0013), 429 ± 40 mm
3
at IgG >12.5 g/liter, and 480 ± 44 mm
3
in the control group), as well as the thickness and volume of some other cortical areas. A logistic regression model (R
2
= 0.57;
p
< 1 10
–5
; standard error of estimate 2.93) was built, including immunoglobulin G, NK cells, CD8
+
NK cell levels, and the volume of the right amygdala, which predicted MoCA scores six months after rehabilitation courses.
Conclusions
. These studies provide the first demonstration that immune parameters in combination with socio-demographic data and brain morphometric indexes are highly significant as potential prognostic markers reflecting the response to neurorehabilitation.</description><identifier>ISSN: 0097-0549</identifier><identifier>EISSN: 1573-899X</identifier><identifier>DOI: 10.1007/s11055-024-01732-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Amygdala ; Behavioral Sciences ; Biomedical and Life Sciences ; Biomedicine ; Brain architecture ; CD8 antigen ; Clinical Presentation and Treatment of Nervous and Mental Diseases ; Cognition ; Cognitive ability ; Dementia disorders ; Humoral immunity ; Immunity ; Immunoglobulin G ; Immunoglobulins ; Immunological memory ; Inflammatory diseases ; Magnetic resonance imaging ; Natural killer cells ; Neurobiology ; Neuroimaging ; Neurology ; Neurosciences ; Nucleus accumbens ; Rehabilitation ; Standard error of estimate</subject><ispartof>Neuroscience and behavioral physiology, 2024-11, Vol.54 (9), p.1333-1342</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>Copyright Springer Nature B.V. Nov 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1155-7990d33f6a4fba185dd5c8f038f03c34255f381f6095218778c5b546279fbd423</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11055-024-01732-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11055-024-01732-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Malashenkova, I. K.</creatorcontrib><creatorcontrib>Krynskiy, S. A.</creatorcontrib><creatorcontrib>Ogurtsov, D. P.</creatorcontrib><creatorcontrib>Khailov, N. A.</creatorcontrib><creatorcontrib>Filippova, E. A.</creatorcontrib><creatorcontrib>Moskvina, S. N.</creatorcontrib><creatorcontrib>Ushakov, V. L.</creatorcontrib><creatorcontrib>Orlov, V. A.</creatorcontrib><creatorcontrib>Andryushchenko, A. V.</creatorcontrib><creatorcontrib>Osipova, N. G.</creatorcontrib><creatorcontrib>Syunyakov, T. S.</creatorcontrib><creatorcontrib>Savilov, V. B.</creatorcontrib><creatorcontrib>Karpenko, O. A.</creatorcontrib><creatorcontrib>Kurmyshev, M. V.</creatorcontrib><creatorcontrib>Kostyuk, G. P.</creatorcontrib><creatorcontrib>Didkovsky, N. A.</creatorcontrib><title>Immunological and Neuroanatomical Markers for the Dynamics of Predementia Cognitive Disorders during Neurorehabilitation</title><title>Neuroscience and behavioral physiology</title><addtitle>Neurosci Behav Physi</addtitle><description>Objectives
. To study the relationship between measures of immunity and systemic inflammation and structural magnetic resonance imaging (MRI) indicators in patients with pre-dementia cognitive disorders (pre CI) during neurocognitive rehabilitation with the aim of identifying candidate markers for the efficacy of this rehabilitation.
Materials and methods.
The study group consisted of 49 patients with preMCI with memory impairments; patients were aged 60 years and older and underwent five-week neurorehabilitation courses. The control group consisted of 19 volunteers of similar age without cognitive disorders or immune-inflammatory disorders. Measures of cellular and humoral immunity and inflammatory markers were determined and structural MRI was performed.
Results
. preMCI was found to be associated with an elevated content of activated natural killers (NK cells) (0.63 ± 0.12% versus 0.22 ± 0.07% in the control group,
p
= 2.2 10
–7
). Immunoglobulin G (IgG) levels of <12.5 g/liter in patients with preMCI and scores of <22 on the Montreal Cognitive Assessment (MoCA) were associated with decreases in the volume of the right nucleus accumbens (376 ± 35 mm
3
with IgG <12.5 g/liter (
p
= 0.0013), 429 ± 40 mm
3
at IgG >12.5 g/liter, and 480 ± 44 mm
3
in the control group), as well as the thickness and volume of some other cortical areas. A logistic regression model (R
2
= 0.57;
p
< 1 10
–5
; standard error of estimate 2.93) was built, including immunoglobulin G, NK cells, CD8
+
NK cell levels, and the volume of the right amygdala, which predicted MoCA scores six months after rehabilitation courses.
Conclusions
. These studies provide the first demonstration that immune parameters in combination with socio-demographic data and brain morphometric indexes are highly significant as potential prognostic markers reflecting the response to neurorehabilitation.</description><subject>Amygdala</subject><subject>Behavioral Sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain architecture</subject><subject>CD8 antigen</subject><subject>Clinical Presentation and Treatment of Nervous and Mental Diseases</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Dementia disorders</subject><subject>Humoral immunity</subject><subject>Immunity</subject><subject>Immunoglobulin G</subject><subject>Immunoglobulins</subject><subject>Immunological memory</subject><subject>Inflammatory diseases</subject><subject>Magnetic resonance imaging</subject><subject>Natural killer cells</subject><subject>Neurobiology</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Nucleus accumbens</subject><subject>Rehabilitation</subject><subject>Standard error of estimate</subject><issn>0097-0549</issn><issn>1573-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPxCAUhYnRxHH0D7gicV2FAqUszfiaZHwsNHFHaAszjC2M0Brn38tMTdy5uCG5nO_cnAPAOUaXGCF-FTFGjGUopxnCnOQZOwATzDjJSiHeD8EEIcEzxKg4BicxrlGCeIkm4HvedYPzrV_aWrVQuQY-6SF45VTvu_3uUYUPHSI0PsB-peHN1qn0E6E38CXoRnfa9VbBmV8629uvpLDRh2bHNEOwbjlaBr1SlW1tr3rr3Sk4MqqN-uz3nYK3u9vX2UO2eL6fz64XWY1xSsSFQA0hplDUVAqXrGlYXRpEdlMTmjNmSIlNgQTLcZlC1axitMi5MFVDczIFF6PvJvjPQcderv0QXDopCaZCEF5QnlT5qKqDjzFoIzfBdipsJUZy17AcG5apYblvWLIEkRGKm11KHf6s_6F-APl3f9c</recordid><startdate>20241101</startdate><enddate>20241101</enddate><creator>Malashenkova, I. K.</creator><creator>Krynskiy, S. A.</creator><creator>Ogurtsov, D. P.</creator><creator>Khailov, N. A.</creator><creator>Filippova, E. A.</creator><creator>Moskvina, S. N.</creator><creator>Ushakov, V. L.</creator><creator>Orlov, V. A.</creator><creator>Andryushchenko, A. V.</creator><creator>Osipova, N. G.</creator><creator>Syunyakov, T. S.</creator><creator>Savilov, V. B.</creator><creator>Karpenko, O. A.</creator><creator>Kurmyshev, M. V.</creator><creator>Kostyuk, G. P.</creator><creator>Didkovsky, N. A.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QR</scope><scope>7TK</scope><scope>7TS</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope></search><sort><creationdate>20241101</creationdate><title>Immunological and Neuroanatomical Markers for the Dynamics of Predementia Cognitive Disorders during Neurorehabilitation</title><author>Malashenkova, I. K. ; Krynskiy, S. A. ; Ogurtsov, D. P. ; Khailov, N. A. ; Filippova, E. A. ; Moskvina, S. N. ; Ushakov, V. L. ; Orlov, V. A. ; Andryushchenko, A. V. ; Osipova, N. G. ; Syunyakov, T. S. ; Savilov, V. B. ; Karpenko, O. A. ; Kurmyshev, M. V. ; Kostyuk, G. P. ; Didkovsky, N. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1155-7990d33f6a4fba185dd5c8f038f03c34255f381f6095218778c5b546279fbd423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Amygdala</topic><topic>Behavioral Sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain architecture</topic><topic>CD8 antigen</topic><topic>Clinical Presentation and Treatment of Nervous and Mental Diseases</topic><topic>Cognition</topic><topic>Cognitive ability</topic><topic>Dementia disorders</topic><topic>Humoral immunity</topic><topic>Immunity</topic><topic>Immunoglobulin G</topic><topic>Immunoglobulins</topic><topic>Immunological memory</topic><topic>Inflammatory diseases</topic><topic>Magnetic resonance imaging</topic><topic>Natural killer cells</topic><topic>Neurobiology</topic><topic>Neuroimaging</topic><topic>Neurology</topic><topic>Neurosciences</topic><topic>Nucleus accumbens</topic><topic>Rehabilitation</topic><topic>Standard error of estimate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Malashenkova, I. K.</creatorcontrib><creatorcontrib>Krynskiy, S. A.</creatorcontrib><creatorcontrib>Ogurtsov, D. P.</creatorcontrib><creatorcontrib>Khailov, N. A.</creatorcontrib><creatorcontrib>Filippova, E. A.</creatorcontrib><creatorcontrib>Moskvina, S. N.</creatorcontrib><creatorcontrib>Ushakov, V. L.</creatorcontrib><creatorcontrib>Orlov, V. A.</creatorcontrib><creatorcontrib>Andryushchenko, A. V.</creatorcontrib><creatorcontrib>Osipova, N. G.</creatorcontrib><creatorcontrib>Syunyakov, T. S.</creatorcontrib><creatorcontrib>Savilov, V. B.</creatorcontrib><creatorcontrib>Karpenko, O. A.</creatorcontrib><creatorcontrib>Kurmyshev, M. V.</creatorcontrib><creatorcontrib>Kostyuk, G. P.</creatorcontrib><creatorcontrib>Didkovsky, N. A.</creatorcontrib><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Neuroscience and behavioral physiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Malashenkova, I. K.</au><au>Krynskiy, S. A.</au><au>Ogurtsov, D. P.</au><au>Khailov, N. A.</au><au>Filippova, E. A.</au><au>Moskvina, S. N.</au><au>Ushakov, V. L.</au><au>Orlov, V. A.</au><au>Andryushchenko, A. V.</au><au>Osipova, N. G.</au><au>Syunyakov, T. S.</au><au>Savilov, V. B.</au><au>Karpenko, O. A.</au><au>Kurmyshev, M. V.</au><au>Kostyuk, G. P.</au><au>Didkovsky, N. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Immunological and Neuroanatomical Markers for the Dynamics of Predementia Cognitive Disorders during Neurorehabilitation</atitle><jtitle>Neuroscience and behavioral physiology</jtitle><stitle>Neurosci Behav Physi</stitle><date>2024-11-01</date><risdate>2024</risdate><volume>54</volume><issue>9</issue><spage>1333</spage><epage>1342</epage><pages>1333-1342</pages><issn>0097-0549</issn><eissn>1573-899X</eissn><abstract>Objectives
. To study the relationship between measures of immunity and systemic inflammation and structural magnetic resonance imaging (MRI) indicators in patients with pre-dementia cognitive disorders (pre CI) during neurocognitive rehabilitation with the aim of identifying candidate markers for the efficacy of this rehabilitation.
Materials and methods.
The study group consisted of 49 patients with preMCI with memory impairments; patients were aged 60 years and older and underwent five-week neurorehabilitation courses. The control group consisted of 19 volunteers of similar age without cognitive disorders or immune-inflammatory disorders. Measures of cellular and humoral immunity and inflammatory markers were determined and structural MRI was performed.
Results
. preMCI was found to be associated with an elevated content of activated natural killers (NK cells) (0.63 ± 0.12% versus 0.22 ± 0.07% in the control group,
p
= 2.2 10
–7
). Immunoglobulin G (IgG) levels of <12.5 g/liter in patients with preMCI and scores of <22 on the Montreal Cognitive Assessment (MoCA) were associated with decreases in the volume of the right nucleus accumbens (376 ± 35 mm
3
with IgG <12.5 g/liter (
p
= 0.0013), 429 ± 40 mm
3
at IgG >12.5 g/liter, and 480 ± 44 mm
3
in the control group), as well as the thickness and volume of some other cortical areas. A logistic regression model (R
2
= 0.57;
p
< 1 10
–5
; standard error of estimate 2.93) was built, including immunoglobulin G, NK cells, CD8
+
NK cell levels, and the volume of the right amygdala, which predicted MoCA scores six months after rehabilitation courses.
Conclusions
. These studies provide the first demonstration that immune parameters in combination with socio-demographic data and brain morphometric indexes are highly significant as potential prognostic markers reflecting the response to neurorehabilitation.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11055-024-01732-5</doi><tpages>10</tpages></addata></record> |
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subjects | Amygdala Behavioral Sciences Biomedical and Life Sciences Biomedicine Brain architecture CD8 antigen Clinical Presentation and Treatment of Nervous and Mental Diseases Cognition Cognitive ability Dementia disorders Humoral immunity Immunity Immunoglobulin G Immunoglobulins Immunological memory Inflammatory diseases Magnetic resonance imaging Natural killer cells Neurobiology Neuroimaging Neurology Neurosciences Nucleus accumbens Rehabilitation Standard error of estimate |
title | Immunological and Neuroanatomical Markers for the Dynamics of Predementia Cognitive Disorders during Neurorehabilitation |
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