Blood and urinary metabolomic evidence validating traditional Chinese medicine diagnostic classification of major depressive disorder

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Blood and urinary metabolomic evidence validating traditional Chinese medicine diagnostic classification of major depressive disorder

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http://www.wikidata.org/entity/Q58554187

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article

@en

im Januar 2018 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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Blood and urinary metabolomic ...... n of major depressive disorder

@en

Blood and urinary metabolomic ...... n of major depressive disorder

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Blood and urinary metabolomic ...... n of major depressive disorder

@en

Blood and urinary metabolomic ...... n of major depressive disorder

@nl

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Blood and urinary metabolomic ...... n of major depressive disorder

@en

Blood and urinary metabolomic ...... n of major depressive disorder

@nl

P1476

Blood and urinary metabolomic ...... n of major depressive disorder

@en

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Chun-Qin Zhu

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Chun-Yu Yang

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Hong-Jian Zhang

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Jin-Bao Pu

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Lan-Ying Liu

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Li-Yuan Luo

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Pei-Rong Wang

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Wei-Qing Liang

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Ya-Ping Li

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Yuan-Yuan Zhang

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P2860

A rating scale for depression

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Targeting the glutamatergic system to treat major depressive disorder: rationale and progress to date

Enhancement of learning and memory by elevating brain magnesium

Data-driven subtypes of major depressive disorder: a systematic review.

Exploratory data mining analysis identifying subgroups of patients with depression who are at high risk for suicide.

The potential biomarker panels for identification of Major Depressive Disorder (MDD) patients with and without early life stress (ELS) by metabonomic analysis.

The endogenous and reactive depression subtypes revisited: integrative animal and human studies implicate multiple distinct molecular mechanisms underlying major depressive disorder.

The importance of norepinephrine in depression.

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s13020-018-0211-z

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scholarly article

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10.1186/S13020-018-0211-Z

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English

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2018-01-01T00:00:00Z

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1107853987

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30386416

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P921

Farmakologi

diagnosis

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6203264

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