Evidence map›Paper›PMID 33126421›Full record

ArticleBiomedicines2020

An Exploratory Pilot Study with Plasma Protein Signatures Associated with Response of Patients with Depression to Antidepressant Treatment for 10 Weeks.

Eun Young Kim, Hee-Sung Ahn, Min Young Lee, Jiyoung Yu, Jeonghun Yeom, Hwangkyo Jeong, Hophil Min, Hyun Jeong Lee, Kyunggon Kim, Yong Min Ahn

Abstract read
In one paragraph

Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Towards causal inference-based antidepressant selection with brain and blood biomarkers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Eun Young KimMental Health Center, Seoul National University Health Care Center, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea.
Hee-Sung AhnAsan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.ORCID 0000-0003-2241-6536
Min Young LeeInstitute for Systems Biology, Seattle, Washington, DC 98109, USA.
Jiyoung YuAsan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.
Jeonghun YeomConvergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.ORCID 0000-0001-9577-1243
Hwangkyo JeongDepartment of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, Korea.
Hophil MinDoping Control Center, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, Korea.ORCID 0000-0002-2791-406X
Hyun Jeong LeeDepartment of Psychiatry & Behavioral Science, National Cancer Center, Ilsandong-gu, Goyang-si, Gyeonggi-do 10408, Korea.
Kyunggon KimAsan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea.
Yong Min AhnDepartment of Neuropsychiatry, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.

Funding

The National Research Foundation of Korea (NRF) funded by the Ministry of Education NRF-2016R1D1A3B03934787
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a leading cause of global disability with a chronic and recurrent course. Recognition of biological markers that could predict and monitor response to drug treatment could personalize clinical decision-making, minimize unnecessary drug exposure, and achieve better outcomes. Four longitudinal plasma samples were collected from each of ten patients with MDD treated with antidepressants for 10 weeks. Plasma proteins were analyzed qualitatively and quantitatively with a nanoflow LC-MS/MS technique. Of 1153 proteins identified in the 40 longitudinal plasma samples, 37 proteins were significantly associated with response/time and clustered into six according to time and response by the linear mixed model. Among them, three early-drug response markers (PHOX2B, SH3BGRL3, and YWHAE) detectable within one week were verified by liquid chromatography-multiple reaction monitoring/mass spectrometry (LC-MRM/MS) in the well-controlled 24 patients. In addition, 11 proteins correlated significantly with two or more psychiatric measurement indices. This pilot study might be useful in finding protein marker candidates that can monitor response to antidepressant treatment during follow-up visits within 10 weeks after the baseline visit.

Indexed as

drug response monitoringLC-MS/MSlongitudinal studymajor depressive disordermultiple reaction monitoringplasma protein biomarker

Identifiers

PMID33126421
PMCPMC7692261

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.