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Evaluation of Endocrine Parameters as Predictor of Major Depressive Disorder
BACKGROUND: The diagnosis of the disease, major depressive disorder (MDD), entirely depends on the presence of some symptoms without any biochemical parameter to support it. Depletion of dopamine though is an established feature, is not the sole causative factor of MDD. Moreover, it has very little...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733426/ https://www.ncbi.nlm.nih.gov/pubmed/29284809 http://dx.doi.org/10.4103/IJPSYM.IJPSYM_120_17 |
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author | Gupta, Soma Mukherjee, Amrita Biswas, Sangita Bose, Smarajit Nath, Saswati Das, Harendra Nath |
author_facet | Gupta, Soma Mukherjee, Amrita Biswas, Sangita Bose, Smarajit Nath, Saswati Das, Harendra Nath |
author_sort | Gupta, Soma |
collection | PubMed |
description | BACKGROUND: The diagnosis of the disease, major depressive disorder (MDD), entirely depends on the presence of some symptoms without any biochemical parameter to support it. Depletion of dopamine though is an established feature, is not the sole causative factor of MDD. Moreover, it has very little diagnostic value due to a short half-life. Other chemical messengers like hormones have also been found to get altered due to significant over activity of hypothalamo-pituitary axis. Literature review suggests that cortisol, thyroid-stimulating hormone (TSH), and prolactin (PRL) are mostly altered in MDD, which can be utilized to diagnose the condition. MATERIALS AND METHODS: A total of 101 patients suffering from MDD along with 106 age- and sex-matched controls were included in this study. Cortisol, TSH, and PRL were assayed in all the study participants by enzyme immunoassay. Student's t-test and linear discriminant analysis were used for statistical analysis. RESULTS: All the three hormones were found to be significantly high in cases with MDD. When applied for classification purpose, the errors in training group were found to be 15% and 15.74% from test set. None of the normal population was wrongly diagnosed as a patient of depression. CONCLUSION: To the best of our knowledge, this is the first attempt to evaluate multiple biochemical parameters as diagnostic marker of MDD. The study is in progress to find out a cutoff value of the responsible parameter so that they can be optimally used to diagnose a case of MDD. |
format | Online Article Text |
id | pubmed-5733426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-57334262017-12-28 Evaluation of Endocrine Parameters as Predictor of Major Depressive Disorder Gupta, Soma Mukherjee, Amrita Biswas, Sangita Bose, Smarajit Nath, Saswati Das, Harendra Nath Indian J Psychol Med Original Article BACKGROUND: The diagnosis of the disease, major depressive disorder (MDD), entirely depends on the presence of some symptoms without any biochemical parameter to support it. Depletion of dopamine though is an established feature, is not the sole causative factor of MDD. Moreover, it has very little diagnostic value due to a short half-life. Other chemical messengers like hormones have also been found to get altered due to significant over activity of hypothalamo-pituitary axis. Literature review suggests that cortisol, thyroid-stimulating hormone (TSH), and prolactin (PRL) are mostly altered in MDD, which can be utilized to diagnose the condition. MATERIALS AND METHODS: A total of 101 patients suffering from MDD along with 106 age- and sex-matched controls were included in this study. Cortisol, TSH, and PRL were assayed in all the study participants by enzyme immunoassay. Student's t-test and linear discriminant analysis were used for statistical analysis. RESULTS: All the three hormones were found to be significantly high in cases with MDD. When applied for classification purpose, the errors in training group were found to be 15% and 15.74% from test set. None of the normal population was wrongly diagnosed as a patient of depression. CONCLUSION: To the best of our knowledge, this is the first attempt to evaluate multiple biochemical parameters as diagnostic marker of MDD. The study is in progress to find out a cutoff value of the responsible parameter so that they can be optimally used to diagnose a case of MDD. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5733426/ /pubmed/29284809 http://dx.doi.org/10.4103/IJPSYM.IJPSYM_120_17 Text en Copyright: © 2017 Indian Psychiatric Society http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Gupta, Soma Mukherjee, Amrita Biswas, Sangita Bose, Smarajit Nath, Saswati Das, Harendra Nath Evaluation of Endocrine Parameters as Predictor of Major Depressive Disorder |
title | Evaluation of Endocrine Parameters as Predictor of Major Depressive Disorder |
title_full | Evaluation of Endocrine Parameters as Predictor of Major Depressive Disorder |
title_fullStr | Evaluation of Endocrine Parameters as Predictor of Major Depressive Disorder |
title_full_unstemmed | Evaluation of Endocrine Parameters as Predictor of Major Depressive Disorder |
title_short | Evaluation of Endocrine Parameters as Predictor of Major Depressive Disorder |
title_sort | evaluation of endocrine parameters as predictor of major depressive disorder |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733426/ https://www.ncbi.nlm.nih.gov/pubmed/29284809 http://dx.doi.org/10.4103/IJPSYM.IJPSYM_120_17 |
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