scholarly article | Q13442814 |
P2093 | author name string | Lin Wang | |
Jie Zhang | |||
Dan Sun | |||
Dan Wang | |||
Lijun Yu | |||
Hongjing Wu | |||
Jianqi Xiao | |||
Xuerong Qiu | |||
P2860 | cites work | Is improvement in impaired cognition and depressive symptoms in post-stroke patients associated with recovery in activities of daily living? | Q51903816 |
Stroke--1989. Recommendations on stroke prevention, diagnosis, and therapy. Report of the WHO Task Force on Stroke and other Cerebrovascular Disorders | Q69764184 | ||
A multi-analytical platform approach to the metabonomic analysis of plasma from normal and Zucker (fa/fa) obese rats | Q80037913 | ||
1H-NMR-based metabolomics study of cerebral infarction | Q83809378 | ||
MetaboAnalyst 2.0--a comprehensive server for metabolomic data analysis | Q24632755 | ||
Post-stroke depression: Prevalence and relationship with disability in chronic stroke survivors | Q34075851 | ||
Metabolomics: a global biochemical approach to drug response and disease | Q34734298 | ||
Sex-specific urinary biomarkers for diagnosing bipolar disorder | Q34757521 | ||
Poststroke depression and treatment effects on functional outcomes | Q35732869 | ||
Potential metabolite markers of schizophrenia. | Q36479055 | ||
Identification and validation of urinary metabolite biomarkers for major depressive disorder | Q36508139 | ||
Assessment of depression after stroke: a comparison of different screening instruments | Q37346806 | ||
Combined application of NMR- and GC-MS-based metabonomics yields a superior urinary biomarker panel for bipolar disorder. | Q37733240 | ||
Screening for poststroke major depression: a meta-analysis of diagnostic validity studies | Q38079488 | ||
Divergent Urinary Metabolic Phenotypes between Major Depressive Disorder and Bipolar Disorder Identified by a Combined GC-MS and NMR Spectroscopic Metabonomic Approach | Q38985361 | ||
Serum metabolome analysis by 1H-NMR reveals differences between chronic lymphocytic leukaemia molecular subgroups. | Q43187905 | ||
Prognostic value of plasma neuroendocrine biomarkers in patients with acute ischaemic stroke | Q43901436 | ||
Systems biology: Metabonomics | Q47647280 | ||
A Novel Urinary Metabolite Signature for Non-invasive Post-stroke Depression Diagnosis | Q48050618 | ||
Plasma-based proteomics reveals lipid metabolic and immunoregulatory dysregulation in post-stroke depression | Q48289603 | ||
Long-term incidence of depression and predictors of depressive symptoms in older stroke survivors | Q48409334 | ||
Serotonin transporter gene polymorphism in Chinese patients with poststroke depression: a case-control study. | Q48886271 | ||
P275 | copyright license | Creative Commons Attribution-NonCommercial 3.0 Unported | Q18810331 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | NMR spectroscopy | Q10359898 |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 1919-1925 | |
P577 | publication date | 2016-08-02 | |
P1433 | published in | Neuropsychiatric Disease and Treatment | Q15716332 |
P1476 | title | Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis | |
P478 | volume | 12 |
Q47562585 | Hippocampal metabolic differences implicate distinctions between physical and psychological stress in four rat models of depression |
Q94560996 | Metabonomic Profile and Signaling Pathway Prediction of Depression-Associated Suicidal Behavior |
Q90650069 | Poststroke Depression Biomarkers: A Narrative Review |
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