Cargando…

Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome

Metabolic syndrome (MetS) is a clustering of at least three of the following five medical conditions: abdominal obesity, high blood pressure, high blood sugar, high serum triglycerides, and low serum high-density lipoprotein (HDL). Antipsychotic (AP)-induced MetS (AIMetS) is the most common adverse...

Descripción completa

Detalles Bibliográficos
Autores principales: Khasanova, Aiperi K., Dobrodeeva, Vera S., Shnayder, Natalia A., Petrova, Marina M., Pronina, Elena A., Bochanova, Elena N., Lareva, Natalia V., Garganeeva, Natalia P., Smirnova, Daria A., Nasyrova, Regina F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416438/
https://www.ncbi.nlm.nih.gov/pubmed/36005598
http://dx.doi.org/10.3390/metabo12080726
_version_ 1784776480245415936
author Khasanova, Aiperi K.
Dobrodeeva, Vera S.
Shnayder, Natalia A.
Petrova, Marina M.
Pronina, Elena A.
Bochanova, Elena N.
Lareva, Natalia V.
Garganeeva, Natalia P.
Smirnova, Daria A.
Nasyrova, Regina F.
author_facet Khasanova, Aiperi K.
Dobrodeeva, Vera S.
Shnayder, Natalia A.
Petrova, Marina M.
Pronina, Elena A.
Bochanova, Elena N.
Lareva, Natalia V.
Garganeeva, Natalia P.
Smirnova, Daria A.
Nasyrova, Regina F.
author_sort Khasanova, Aiperi K.
collection PubMed
description Metabolic syndrome (MetS) is a clustering of at least three of the following five medical conditions: abdominal obesity, high blood pressure, high blood sugar, high serum triglycerides, and low serum high-density lipoprotein (HDL). Antipsychotic (AP)-induced MetS (AIMetS) is the most common adverse drug reaction (ADR) of psychiatric pharmacotherapy. Herein, we review the results of studies of blood (serum and plasma) and urinary biomarkers as predictors of AIMetS in patients with schizophrenia (Sch). We reviewed 1440 studies examining 38 blood and 19 urinary metabolic biomarkers, including urinary indicators involved in the development of AIMetS. Among the results, only positive associations were revealed. However, at present, it should be recognized that there is no consensus on the role of any particular urinary biomarker of AIMetS. Evaluation of urinary biomarkers of the development of MetS and AIMetS, as one of the most common concomitant pathological conditions in the treatment of patients with psychiatric disorders, may provide a key to the development of strategies for personalized prevention and treatment of the condition, which is considered a complication of AP therapy for Sch in clinical practice.
format Online
Article
Text
id pubmed-9416438
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94164382022-08-27 Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome Khasanova, Aiperi K. Dobrodeeva, Vera S. Shnayder, Natalia A. Petrova, Marina M. Pronina, Elena A. Bochanova, Elena N. Lareva, Natalia V. Garganeeva, Natalia P. Smirnova, Daria A. Nasyrova, Regina F. Metabolites Review Metabolic syndrome (MetS) is a clustering of at least three of the following five medical conditions: abdominal obesity, high blood pressure, high blood sugar, high serum triglycerides, and low serum high-density lipoprotein (HDL). Antipsychotic (AP)-induced MetS (AIMetS) is the most common adverse drug reaction (ADR) of psychiatric pharmacotherapy. Herein, we review the results of studies of blood (serum and plasma) and urinary biomarkers as predictors of AIMetS in patients with schizophrenia (Sch). We reviewed 1440 studies examining 38 blood and 19 urinary metabolic biomarkers, including urinary indicators involved in the development of AIMetS. Among the results, only positive associations were revealed. However, at present, it should be recognized that there is no consensus on the role of any particular urinary biomarker of AIMetS. Evaluation of urinary biomarkers of the development of MetS and AIMetS, as one of the most common concomitant pathological conditions in the treatment of patients with psychiatric disorders, may provide a key to the development of strategies for personalized prevention and treatment of the condition, which is considered a complication of AP therapy for Sch in clinical practice. MDPI 2022-08-05 /pmc/articles/PMC9416438/ /pubmed/36005598 http://dx.doi.org/10.3390/metabo12080726 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Khasanova, Aiperi K.
Dobrodeeva, Vera S.
Shnayder, Natalia A.
Petrova, Marina M.
Pronina, Elena A.
Bochanova, Elena N.
Lareva, Natalia V.
Garganeeva, Natalia P.
Smirnova, Daria A.
Nasyrova, Regina F.
Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome
title Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome
title_full Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome
title_fullStr Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome
title_full_unstemmed Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome
title_short Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome
title_sort blood and urinary biomarkers of antipsychotic-induced metabolic syndrome
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416438/
https://www.ncbi.nlm.nih.gov/pubmed/36005598
http://dx.doi.org/10.3390/metabo12080726
work_keys_str_mv AT khasanovaaiperik bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT dobrodeevaveras bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT shnaydernataliaa bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT petrovamarinam bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT proninaelenaa bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT bochanovaelenan bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT larevanataliav bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT garganeevanataliap bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT smirnovadariaa bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome
AT nasyrovareginaf bloodandurinarybiomarkersofantipsychoticinducedmetabolicsyndrome