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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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 |
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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 |
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