Bipolar disorder (BD) is a common and debilitating mental disorder. However, there are no biomarkers available to aid in the diagnosis of this disorder. Here, we used a gas chromatography-mass spectrometry (GC-MS) based metabonomic method to characterize the urinary metabolic profiling of BD subjects and healthy controls to identify and validate urinary metabolite biomarkers for BD. Multivariate statistical analysis was used to visualize group discrimination and identify differentially expressed urinary metabolites in BD subjects relative to the healthy controls. Multivariate statistical analysis showed that the BD group was significantly distinguishable from the healthy control. Totally, 37 urinary metabolites responsible for discriminating BD subjects from healthy controls were identified. Interestingly, of 37 differential metabolites, 2,4-dihydroxypyrimidine was identified as an effective diagnostic biomarker for BD, yielding an area under the receiver operating characteristic curve (AUC) of 0.889 in the training samples (45 BD subjects and 61 healthy controls) and 0.805 in the test samples (26 BD subjects and 33 healthy controls). Our findings suggest that 2,4-dihydroxypyrimidine is a promising candidate urinary biomarker for BD, which may facilitate development of a urine-based diagnostic test for BD.
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http://dx.doi.org/10.1039/c3mb70614a | DOI Listing |
JMIR Diabetes
January 2025
Center for Evaluation and Survey Research, HealthPartners Institute, Bloomington, MN, United States.
Background: Food choices play a significant role in achieving glycemic goals and optimizing overall health for people with type 2 diabetes (T2D). Continuous glucose monitoring (CGM) can provide a comprehensive look at the impact of foods and other behaviors on glucose in real time and over the course of time. The impact of using a nutrition-focused approach (NFA) when initiating CGM in people with T2D is unknown.
View Article and Find Full Text PDFHum Reprod
January 2025
Institute of Genomics, Estonian Genome Centre, University of Tartu, Tartu, Estonia.
Study Question: Do polycystic ovary syndrome (PCOS), menstrual cycle phases, and ovulatory status affect reproductive tract (RT) microbiome profiles?
Summary Answer: We identified microbial features associated with menstrual cycle phases in the upper and lower RT microbiome, but only two specific differences in the upper RT according to PCOS status.
What Is Known Already: The vaginal and uterine microbiome profiles vary throughout the menstrual cycle. Studies have reported alterations in the vaginal microbiome among women diagnosed with PCOS.
PLoS One
January 2025
Key Laboratory of Sports Engineering of General Administration of Sport of China, Wuhan Sports University, Wuhan, Hubei Province, China.
Purpose: Previous studies have demonstrated significant biomechanical differences between individuals with chronic ankle instability (CAI) and healthy controls during the Y-balance test. This study aimed to examine the effects of kinesio taping (KT) on lower limb biomechanical characteristics during the Y-balance anterior reach task in individuals with CAI.
Methods: A total of 30 participants were recruited, comprising 15 individuals with CAI and 15 healthy controls.
PLoS One
January 2025
Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Purpose: A relative afferent pupillary defect (RAPD) is a characteristic clinical sign of optic neuritis (ON). Here, we systematically evaluated ultrasound pupillometry (UP) for the detection of an RAPD in patients with ON, including a comparison with infrared video pupillometry (IVP), the gold standard for objective pupillometry.
Materials And Methods: We enrolled 40 patients with acute (n = 9) or past (n = 31) ON (ON+), 31 patients with multiple sclerosis (MS) without prior ON, and 50 healthy controls (HC) in a cross-sectional observational study.
J Proteome Res
January 2025
University of Santo Amaro (UNISA), Rua Isabel Schmidt 349, São Paulo 04743-030, Brazil.
Background: Peri-implantitis is characterized as a pathological change in the tissues around dental implants. Fourier-transform infrared spectroscopy (FTIR) provides molecular information from optical phenomena observed by the vibration of molecules, which is used in biological studies to characterize changes and serves as a form of diagnosis.
Aims: this case-control study evaluated the peri-implant disease by using FTIR spectroscopy with attenuated total reflectance in the fingerprint region.
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