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Consensus on potential biomarkers developed for use in clinical tests for schizophrenia
BACKGROUND: Schizophrenia is a serious mental illness affecting approximately 20 million individuals globally. Both genetic and environmental factors contribute to the illness. If left undiagnosed and untreated, schizophrenia results in impaired social function, repeated hospital admissions, reduced...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867318/ https://www.ncbi.nlm.nih.gov/pubmed/35309241 http://dx.doi.org/10.1136/gpsych-2021-100685 |
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author | Lin, Ping Sun, Junyu Lou, Xiaoyan Li, Dan Shi, Yun Li, Zhenhua Ma, Peijun Li, Ping Chen, Shuzi Jin, Weifeng Liu, Shuai Chen, Qing Gao, Qiong Zhu, Lili Xu, Jie Zhu, Mengyuan Wang, Mengxia Liang, Kangyi Zhao, Ling Xu, Huabin Dong, Ke Li, Qingtian Cheng, Xunjia Chen, Jinghong Guo, Xiaokui |
author_facet | Lin, Ping Sun, Junyu Lou, Xiaoyan Li, Dan Shi, Yun Li, Zhenhua Ma, Peijun Li, Ping Chen, Shuzi Jin, Weifeng Liu, Shuai Chen, Qing Gao, Qiong Zhu, Lili Xu, Jie Zhu, Mengyuan Wang, Mengxia Liang, Kangyi Zhao, Ling Xu, Huabin Dong, Ke Li, Qingtian Cheng, Xunjia Chen, Jinghong Guo, Xiaokui |
author_sort | Lin, Ping |
collection | PubMed |
description | BACKGROUND: Schizophrenia is a serious mental illness affecting approximately 20 million individuals globally. Both genetic and environmental factors contribute to the illness. If left undiagnosed and untreated, schizophrenia results in impaired social function, repeated hospital admissions, reduced quality of life and decreased life expectancy. Clinical diagnosis largely relies on subjective evidence, including self-reported experiences, and reported behavioural abnormalities followed by psychiatric evaluation. In addition, psychoses may occur along with other conditions, and the symptoms are often episodic and transient, posing a significant challenge to the precision of diagnosis. Therefore, objective, specific tests using biomarkers are urgently needed for differential diagnosis of schizophrenia in clinical practice. AIMS: We aimed to provide evidence-based and consensus-based recommendations, with a summary of laboratory measurements that could potentially be used as biomarkers for schizophrenia, and to discuss directions for future research. METHODS: We searched publications within the last 10 years with the following keywords: ‘schizophrenia’, ‘gene’, ‘inflammation’, ‘neurotransmitter’, ‘protein marker’, ‘gut microbiota’, ‘pharmacogenomics’ and ‘biomarker’. A draft of the consensus was discussed and agreed on by all authors at a round table session. RESULTS: We summarised the characteristics of candidate diagnostic markers for schizophrenia, including genetic, inflammatory, neurotransmitter, peripheral protein, pharmacogenomic and gut microbiota markers. We also proposed a novel laboratory process for diagnosing schizophrenia in clinical practice based on the evidence summarised in this paper. CONCLUSIONS: Further efforts are needed to identify schizophrenia-specific genetic and epigenetic markers for precise diagnosis, differential diagnosis and ethnicity-specific markers for the Chinese population. The development of novel laboratory techniques is making it possible to use these biomarkers clinically to diagnose disease. |
format | Online Article Text |
id | pubmed-8867318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-88673182022-03-17 Consensus on potential biomarkers developed for use in clinical tests for schizophrenia Lin, Ping Sun, Junyu Lou, Xiaoyan Li, Dan Shi, Yun Li, Zhenhua Ma, Peijun Li, Ping Chen, Shuzi Jin, Weifeng Liu, Shuai Chen, Qing Gao, Qiong Zhu, Lili Xu, Jie Zhu, Mengyuan Wang, Mengxia Liang, Kangyi Zhao, Ling Xu, Huabin Dong, Ke Li, Qingtian Cheng, Xunjia Chen, Jinghong Guo, Xiaokui Gen Psychiatr Research Methods in Psychiatry BACKGROUND: Schizophrenia is a serious mental illness affecting approximately 20 million individuals globally. Both genetic and environmental factors contribute to the illness. If left undiagnosed and untreated, schizophrenia results in impaired social function, repeated hospital admissions, reduced quality of life and decreased life expectancy. Clinical diagnosis largely relies on subjective evidence, including self-reported experiences, and reported behavioural abnormalities followed by psychiatric evaluation. In addition, psychoses may occur along with other conditions, and the symptoms are often episodic and transient, posing a significant challenge to the precision of diagnosis. Therefore, objective, specific tests using biomarkers are urgently needed for differential diagnosis of schizophrenia in clinical practice. AIMS: We aimed to provide evidence-based and consensus-based recommendations, with a summary of laboratory measurements that could potentially be used as biomarkers for schizophrenia, and to discuss directions for future research. METHODS: We searched publications within the last 10 years with the following keywords: ‘schizophrenia’, ‘gene’, ‘inflammation’, ‘neurotransmitter’, ‘protein marker’, ‘gut microbiota’, ‘pharmacogenomics’ and ‘biomarker’. A draft of the consensus was discussed and agreed on by all authors at a round table session. RESULTS: We summarised the characteristics of candidate diagnostic markers for schizophrenia, including genetic, inflammatory, neurotransmitter, peripheral protein, pharmacogenomic and gut microbiota markers. We also proposed a novel laboratory process for diagnosing schizophrenia in clinical practice based on the evidence summarised in this paper. CONCLUSIONS: Further efforts are needed to identify schizophrenia-specific genetic and epigenetic markers for precise diagnosis, differential diagnosis and ethnicity-specific markers for the Chinese population. The development of novel laboratory techniques is making it possible to use these biomarkers clinically to diagnose disease. BMJ Publishing Group 2022-02-23 /pmc/articles/PMC8867318/ /pubmed/35309241 http://dx.doi.org/10.1136/gpsych-2021-100685 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Research Methods in Psychiatry Lin, Ping Sun, Junyu Lou, Xiaoyan Li, Dan Shi, Yun Li, Zhenhua Ma, Peijun Li, Ping Chen, Shuzi Jin, Weifeng Liu, Shuai Chen, Qing Gao, Qiong Zhu, Lili Xu, Jie Zhu, Mengyuan Wang, Mengxia Liang, Kangyi Zhao, Ling Xu, Huabin Dong, Ke Li, Qingtian Cheng, Xunjia Chen, Jinghong Guo, Xiaokui Consensus on potential biomarkers developed for use in clinical tests for schizophrenia |
title | Consensus on potential biomarkers developed for use in clinical tests for schizophrenia |
title_full | Consensus on potential biomarkers developed for use in clinical tests for schizophrenia |
title_fullStr | Consensus on potential biomarkers developed for use in clinical tests for schizophrenia |
title_full_unstemmed | Consensus on potential biomarkers developed for use in clinical tests for schizophrenia |
title_short | Consensus on potential biomarkers developed for use in clinical tests for schizophrenia |
title_sort | consensus on potential biomarkers developed for use in clinical tests for schizophrenia |
topic | Research Methods in Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867318/ https://www.ncbi.nlm.nih.gov/pubmed/35309241 http://dx.doi.org/10.1136/gpsych-2021-100685 |
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