See the published version of this preprint at Journal of Translational Medicine.
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Soo-Youn Lee
Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. ǂDepartment of Clinical Pharmacology and Therapeutics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Se
Corresponding Author
ORCiD: https://orcid.org/0000-0001-7595-4042
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Background: Major depressive disorder (MDD), common mental disorder, lacks objective diagnostic and prognosis biomarkers. The objective of this study was to perform proteomic analysis to identify proteins with changed expression levels after antidepressant treatment and investigate differences in protein expression between MDD patients and healthy individuals.
Methods: A total of 111 proteins obtained from literature review were subjected to multiple reaction monitoring (MRM)-based protein quantitation. Finally, seven proteins were quantified for plasma specimens of 10 healthy controls and 78 MDD patients (those at baseline and at 6 weeks after antidepressant treatment of either selective serotonin reuptake inhibitors (SSRIs) or mirtazapine).
Results: Among 78 MDD patients, 35 patients were treated with SSRIs and 43 patients were treated with mirtazapine. Nineteen (54.3%) and 16 (37.2%) patients responded to SSRIs and mirtazapine, respectively. Comparing MDD patients with healthy individuals, alteration of transthyretin was observed in MDD (p = 0.026). A few differences were observed in protein levels related to SSRIs treatment, although they were not statistically significant. Plasma thyroxine-binding globulin (TBG) was different between before and after mirtazapine treatment only in responders (p = 0.007).
Conclusions: In proteomic analysis of plasma specimens from MDD patients, transthyretin and TBG levels were altered in MDD and changed after antidepressant treatment.
Keywords
MDD, selective serotonin reuptake inhibitors, SSRI, mirtazapine, proteomics, thyroid
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- TableS1.docx
Additional file 1: Table S1. 111 candidate proteins for proteomic analysis.
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CURRENT STATUS: Published
View the published article at Journal of Translational Medicine.
Version 3
Posted 06 Jan, 2021
No community comments so far
Editorial decision: Accept
On 05 Jan, 2021
Editor assigned
On 22 Dec, 2020
Submission checks complete
On 22 Dec, 2020
Editor invited
On 22 Dec, 2020
No comments provided
Editor assigned
On 29 Nov, 2020
Editorial decision: Minor revision
On 29 Nov, 2020
Submission checks complete
On 29 Nov, 2020
Editor invited
On 29 Nov, 2020
No comments provided
Editorial decision: Major revision
On 04 Nov, 2020
Review #1 received
Received 09 Oct, 2020
Reviewer #1 agreed
On 25 Sep, 2020
Reviewers invited
Invitations sent on 24 Sep, 2020
Editor assigned
On 12 Sep, 2020
Editor invited
On 11 Sep, 2020
Submission checks complete
On 07 Sep, 2020
First submitted
On 31 Aug, 2020
Metrics
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HTML Views: ...
Subject Areas
Translational Medicine
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See the published version of this preprint at Journal of Translational Medicine.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Soo-Youn Lee
Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. ǂDepartment of Clinical Pharmacology and Therapeutics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Se
Corresponding Author
ORCiD: https://orcid.org/0000-0001-7595-4042
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Journal of Translational Medicine.
Version 3
Posted 06 Jan, 2021
No community comments so far
Editorial decision: Accept
On 05 Jan, 2021
Editor assigned
On 22 Dec, 2020
Submission checks complete
On 22 Dec, 2020
Editor invited
On 22 Dec, 2020
No comments provided
Editor assigned
On 29 Nov, 2020
Editorial decision: Minor revision
On 29 Nov, 2020
Submission checks complete
On 29 Nov, 2020
Editor invited
On 29 Nov, 2020
No comments provided
Editorial decision: Major revision
On 04 Nov, 2020
Review #1 received
Received 09 Oct, 2020
Reviewer #1 agreed
On 25 Sep, 2020
Reviewers invited
Invitations sent on 24 Sep, 2020
Editor assigned
On 12 Sep, 2020
Editor invited
On 11 Sep, 2020
Submission checks complete
On 07 Sep, 2020
First submitted
On 31 Aug, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Translational Medicine
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Journal of Translational Medicine.
Background: Major depressive disorder (MDD), common mental disorder, lacks objective diagnostic and prognosis biomarkers. The objective of this study was to perform proteomic analysis to identify proteins with changed expression levels after antidepressant treatment and investigate differences in protein expression between MDD patients and healthy individuals.
Methods: A total of 111 proteins obtained from literature review were subjected to multiple reaction monitoring (MRM)-based protein quantitation. Finally, seven proteins were quantified for plasma specimens of 10 healthy controls and 78 MDD patients (those at baseline and at 6 weeks after antidepressant treatment of either selective serotonin reuptake inhibitors (SSRIs) or mirtazapine).
Results: Among 78 MDD patients, 35 patients were treated with SSRIs and 43 patients were treated with mirtazapine. Nineteen (54.3%) and 16 (37.2%) patients responded to SSRIs and mirtazapine, respectively. Comparing MDD patients with healthy individuals, alteration of transthyretin was observed in MDD (p = 0.026). A few differences were observed in protein levels related to SSRIs treatment, although they were not statistically significant. Plasma thyroxine-binding globulin (TBG) was different between before and after mirtazapine treatment only in responders (p = 0.007).
Conclusions: In proteomic analysis of plasma specimens from MDD patients, transthyretin and TBG levels were altered in MDD and changed after antidepressant treatment.
Figure 1
Figure 2
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