Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response
Abstract Major depressive disorder is highly prevalent worldwide and has been affecting an increasing number of people each year. Current first line antidepressants show merely 37% remission, and physicians are forced to use a trial-and-error approach when choosing a single antidepressant out of doz...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-04-01
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| Series: | Translational Psychiatry |
| Online Access: | https://doi.org/10.1038/s41398-021-01319-5 |
| _version_ | 1819117168381394944 |
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| author | Yishai Avior Shiri Ron Dana Kroitorou Claudia Albeldas Vitaly Lerner Barbara Corneo Erez Nitzan Daphna Laifenfeld Talia Cohen Solal |
| author_facet | Yishai Avior Shiri Ron Dana Kroitorou Claudia Albeldas Vitaly Lerner Barbara Corneo Erez Nitzan Daphna Laifenfeld Talia Cohen Solal |
| author_sort | Yishai Avior |
| collection | DOAJ |
| description | Abstract Major depressive disorder is highly prevalent worldwide and has been affecting an increasing number of people each year. Current first line antidepressants show merely 37% remission, and physicians are forced to use a trial-and-error approach when choosing a single antidepressant out of dozens of available medications. We sought to identify a method of testing that would provide patient-specific information on whether a patient will respond to a medication using in vitro modeling. Patient-derived lymphoblastoid cell lines from the Sequenced Treatment Alternatives to Relieve Depression study were used to rapidly generate cortical neurons and screen them for bupropion effects, for which the donor patients showed remission or non-remission. We provide evidence for biomarkers specific for bupropion response, including synaptic connectivity and morphology changes as well as specific gene expression alterations. These biomarkers support the concept of personalized antidepressant treatment based on in vitro platforms and could be utilized as predictors to patient response in the clinic. |
| first_indexed | 2024-12-22T05:28:42Z |
| format | Article |
| id | doaj.art-f4282fdbeb024ce39789a5c41a572bd3 |
| institution | Directory Open Access Journal |
| issn | 2158-3188 |
| language | English |
| last_indexed | 2024-12-22T05:28:42Z |
| publishDate | 2021-04-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Translational Psychiatry |
| spelling | doaj.art-f4282fdbeb024ce39789a5c41a572bd32022-12-21T18:37:31ZengNature Publishing GroupTranslational Psychiatry2158-31882021-04-0111111010.1038/s41398-021-01319-5Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant responseYishai Avior0Shiri Ron1Dana Kroitorou2Claudia Albeldas3Vitaly Lerner4Barbara Corneo5Erez Nitzan6Daphna Laifenfeld7Talia Cohen Solal8GenetikaPlus LtdGenetikaPlus LtdGenetikaPlus LtdGenetikaPlus LtdThe Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of JerusalemColumbia Stem Cell Initiative Stem Cell Core, Columbia University Irving Medical CenterGenetikaPlus LtdGenetikaPlus LtdGenetikaPlus LtdAbstract Major depressive disorder is highly prevalent worldwide and has been affecting an increasing number of people each year. Current first line antidepressants show merely 37% remission, and physicians are forced to use a trial-and-error approach when choosing a single antidepressant out of dozens of available medications. We sought to identify a method of testing that would provide patient-specific information on whether a patient will respond to a medication using in vitro modeling. Patient-derived lymphoblastoid cell lines from the Sequenced Treatment Alternatives to Relieve Depression study were used to rapidly generate cortical neurons and screen them for bupropion effects, for which the donor patients showed remission or non-remission. We provide evidence for biomarkers specific for bupropion response, including synaptic connectivity and morphology changes as well as specific gene expression alterations. These biomarkers support the concept of personalized antidepressant treatment based on in vitro platforms and could be utilized as predictors to patient response in the clinic.https://doi.org/10.1038/s41398-021-01319-5 |
| spellingShingle | Yishai Avior Shiri Ron Dana Kroitorou Claudia Albeldas Vitaly Lerner Barbara Corneo Erez Nitzan Daphna Laifenfeld Talia Cohen Solal Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response Translational Psychiatry |
| title | Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response |
| title_full | Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response |
| title_fullStr | Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response |
| title_full_unstemmed | Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response |
| title_short | Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response |
| title_sort | depression patient derived cortical neurons reveal potential biomarkers for antidepressant response |
| url | https://doi.org/10.1038/s41398-021-01319-5 |
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