Plasma proteomic data in bipolar II disorders and major depressive disorders

Hyunju Lee; Sang Jin Rhee; Jayoun Kim; Yunna Lee; Hyeyoung Kim; Junhee Lee; Kangeun Lee; Hyunsuk Shin; Hyeyoon Kim; Tae Young Lee; Minah Kim; Eun Young Kim; Se Hyun Kim; Yong Min Ahn; Jun Soo Kwon; Dohyun Han; Kyooseob Ha

doi:10.1016/j.dib.2021.107495

Plasma proteomic data in bipolar II disorders and major depressive disorders

Hyunju Lee, Sang Jin Rhee, Jayoun Kim, Yunna Lee, Hyeyoung Kim, Junhee Lee, Kangeun Lee, Hyunsuk Shin, Hyeyoon Kim, Tae Young Lee, Minah Kim, Eun Young Kim, Se Hyun Kim, Yong Min Ahn, Jun Soo Kwon, Dohyun Han, Kyooseob Ha

Department of Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

The proteomics data included in this article supplement the research article titled “Predictive protein markers for the severity of depression in mood disorders: A preliminary trans-diagnostic approach study (manuscript ID: JPSYCHIATRES-D-20-00437).” Plasma protein was analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This data article included 370 plasma protein profiles expressed in patients with bipolar II disorder (BD-II) and major depressive disorder (MDD). The tables present the comparison of protein expressions between BD-II and MDD, and the relationship between the severity of the depressive symptoms and protein expression. In addition, details of results adjusting the use of each psychotropic medication (antipsychotics, mood stabilizers, and antidepressants) for 20 proteins that showed a significant relationship with the severity of the depressive symptom were presented in the table. Results of the bioinformatics analysis of proteins, which were significantly related to the severity of depressive symptom, are presented. The blood protein profiles and the results of the analyses presented in this data article provide detailed information on the proteins associated with mood disorders, and could be used as the basis for further mass spectrometry studies in psychiatric disorders.

Original language	English
Article number	107495
Journal	Data in Brief
Volume	39
DOIs	https://doi.org/10.1016/j.dib.2021.107495
State	Published - Dec 2021

Keywords

Bipolar II disorder
Liquid chromatography-tandem mass spectrometry (LC-MS)
Major depressive disorder
Proteomics
Symptom severity

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10.1016/j.dib.2021.107495

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title = "Plasma proteomic data in bipolar II disorders and major depressive disorders",

abstract = "The proteomics data included in this article supplement the research article titled “Predictive protein markers for the severity of depression in mood disorders: A preliminary trans-diagnostic approach study (manuscript ID: JPSYCHIATRES-D-20-00437).” Plasma protein was analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This data article included 370 plasma protein profiles expressed in patients with bipolar II disorder (BD-II) and major depressive disorder (MDD). The tables present the comparison of protein expressions between BD-II and MDD, and the relationship between the severity of the depressive symptoms and protein expression. In addition, details of results adjusting the use of each psychotropic medication (antipsychotics, mood stabilizers, and antidepressants) for 20 proteins that showed a significant relationship with the severity of the depressive symptom were presented in the table. Results of the bioinformatics analysis of proteins, which were significantly related to the severity of depressive symptom, are presented. The blood protein profiles and the results of the analyses presented in this data article provide detailed information on the proteins associated with mood disorders, and could be used as the basis for further mass spectrometry studies in psychiatric disorders.",

keywords = "Bipolar II disorder, Liquid chromatography-tandem mass spectrometry (LC-MS), Major depressive disorder, Proteomics, Symptom severity",

author = "Hyunju Lee and Rhee, {Sang Jin} and Jayoun Kim and Yunna Lee and Hyeyoung Kim and Junhee Lee and Kangeun Lee and Hyunsuk Shin and Hyeyoon Kim and Lee, {Tae Young} and Minah Kim and Kim, {Eun Young} and Kim, {Se Hyun} and Ahn, {Yong Min} and Kwon, {Jun Soo} and Dohyun Han and Kyooseob Ha",

note = "Publisher Copyright: {\textcopyright} 2021",

year = "2021",

month = dec,

doi = "10.1016/j.dib.2021.107495",

language = "English",

volume = "39",

journal = "Data in Brief",

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T1 - Plasma proteomic data in bipolar II disorders and major depressive disorders

AU - Lee, Hyunju

AU - Rhee, Sang Jin

AU - Kim, Jayoun

AU - Lee, Yunna

AU - Kim, Hyeyoung

AU - Lee, Junhee

AU - Lee, Kangeun

AU - Shin, Hyunsuk

AU - Kim, Hyeyoon

AU - Lee, Tae Young

AU - Kim, Minah

AU - Kim, Eun Young

AU - Kim, Se Hyun

AU - Ahn, Yong Min

AU - Kwon, Jun Soo

AU - Han, Dohyun

AU - Ha, Kyooseob

PY - 2021/12

Y1 - 2021/12

N2 - The proteomics data included in this article supplement the research article titled “Predictive protein markers for the severity of depression in mood disorders: A preliminary trans-diagnostic approach study (manuscript ID: JPSYCHIATRES-D-20-00437).” Plasma protein was analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This data article included 370 plasma protein profiles expressed in patients with bipolar II disorder (BD-II) and major depressive disorder (MDD). The tables present the comparison of protein expressions between BD-II and MDD, and the relationship between the severity of the depressive symptoms and protein expression. In addition, details of results adjusting the use of each psychotropic medication (antipsychotics, mood stabilizers, and antidepressants) for 20 proteins that showed a significant relationship with the severity of the depressive symptom were presented in the table. Results of the bioinformatics analysis of proteins, which were significantly related to the severity of depressive symptom, are presented. The blood protein profiles and the results of the analyses presented in this data article provide detailed information on the proteins associated with mood disorders, and could be used as the basis for further mass spectrometry studies in psychiatric disorders.

AB - The proteomics data included in this article supplement the research article titled “Predictive protein markers for the severity of depression in mood disorders: A preliminary trans-diagnostic approach study (manuscript ID: JPSYCHIATRES-D-20-00437).” Plasma protein was analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This data article included 370 plasma protein profiles expressed in patients with bipolar II disorder (BD-II) and major depressive disorder (MDD). The tables present the comparison of protein expressions between BD-II and MDD, and the relationship between the severity of the depressive symptoms and protein expression. In addition, details of results adjusting the use of each psychotropic medication (antipsychotics, mood stabilizers, and antidepressants) for 20 proteins that showed a significant relationship with the severity of the depressive symptom were presented in the table. Results of the bioinformatics analysis of proteins, which were significantly related to the severity of depressive symptom, are presented. The blood protein profiles and the results of the analyses presented in this data article provide detailed information on the proteins associated with mood disorders, and could be used as the basis for further mass spectrometry studies in psychiatric disorders.

KW - Bipolar II disorder

KW - Liquid chromatography-tandem mass spectrometry (LC-MS)

KW - Major depressive disorder

KW - Proteomics

KW - Symptom severity

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DO - 10.1016/j.dib.2021.107495

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Plasma proteomic data in bipolar II disorders and major depressive disorders

Abstract

Keywords

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