2018
DOI: 10.1038/s41398-018-0245-0
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Urinary biomarker panel for diagnosing patients with depression and anxiety disorders

Abstract: Available data indicate that patients with depression and anxiety disorders are likely to be at greater risk for suicide. Therefore, it is important to correctly diagnose patients with depression and anxiety disorders. However, there are still no empirical laboratory methods to objectively diagnose these patients. In this study, the multiple metabolomics platforms were used to profile the urine samples from 32 healthy controls and 32 patients with depression and anxiety disorders for identifying differential m… Show more

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Cited by 85 publications
(54 citation statements)
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“…[ 15 , 16 ] Studies also found that differences in urine metabolites can be used to Distinguish between healthy and depressed patients. [ 17 , 18 ] However, few articles have applied the method of metabolomics to explore the mechanism of acupuncture in treating depression. Therefore, we designed this experiment to fill this gap.…”
Section: Discussionmentioning
confidence: 99%
“…[ 15 , 16 ] Studies also found that differences in urine metabolites can be used to Distinguish between healthy and depressed patients. [ 17 , 18 ] However, few articles have applied the method of metabolomics to explore the mechanism of acupuncture in treating depression. Therefore, we designed this experiment to fill this gap.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, it is reported that aminomalonic acid can inhibit asparagine synthesis 32 . Several metabolomics studies have also found that altered aminomalonic acid level in serum was associated with neuropsychiatric disorders, ketamine overdose and aneurysm, indicating that aminomalonic acid is an important serum indicator for diseases and toxicities 30,33,34 . Serine is an important amino acid and the precursor for choline synthesis 35 .…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, the sample size was relatively small in each group; then future studies with a large cohort of patients were needed to validate our conclusion. Secondly, all patients with T1a glottic cancer were recruited from the same city and were of the same ethnicity; this point might limit the applicability of our conclusion [ 30 32 ]. Thirdly, the follow-up period was relatively short (median, 33 months in the CO2-LS group, 36 months in the LTP-RFA group), which made it impossible to compare the five-year overall survival rates of these two intervention methods.…”
Section: Discussionmentioning
confidence: 99%