Metabolic Profiling in Bipolar Disorder Patients During Depressive Episodes

Ren, Yan; Bao, Shuang; Jia, Yuping; Sun, Xiaoli; Cao, Xiang-xin; Bai, Xiao-ying; Tian, Jun-Sheng; Yang, Hong

doi:10.3389/fpsyt.2020.569612

Cited by 13 publications

(10 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Changes in these biomarkers obviously confirmed the alteration of amino-acids metabolism, TCA cycle, and glycolysis. When the glucose metabolism is disturbed for supplying energy, other sources are used by tissues [ 24 , 25 , 26 , 27 , 28 ]. For the first time, our results showed an alteration of mannose, C-2 epimer of glucose, which also plays a role in energy generation.…”

Section: Discussionmentioning

confidence: 99%

“…Blood and urine samples can be obtained at minimal risk and cost; they are easily accessible and ideal for the identification and determination of new biomarkers [ 18 ]. In the last decade, a panel of potential biomarkers was explored and identified in biological fluids (blood, urine, cerebrospinal fluid) of BD patients applying 1 H-NMR-based metabolomics [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. Reported metabolomics studies demonstrated that diverse BD metabolites are connected with their altered biochemical pathways, including mitochondrial/energy metabolism, oxidative stress, amino acid metabolism, and lipid metabolism.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients

et al. 2023

View full text Add to dashboard Cite

Bipolar disorder (BD) is a brain disorder that causes changes in a person’s mood, energy, and ability to function. It has a prevalence of 60 million people worldwide, and it is among the top 20 diseases with the highest global burden. The complexity of this disease, including diverse genetic, environmental, and biochemical factors, and diagnoses based on the subjective recognition of symptoms without any clinical test of biomarker identification create significant difficulties in understanding and diagnosing BD. A 1H-NMR-based metabolomic study applying chemometrics of serum samples of Serbian patients with BD (33) and healthy controls (39) was explored, providing the identification of 22 metabolites for this disease. A biomarker set including threonine, aspartate, gamma-aminobutyric acid, 2-hydroxybutyric acid, serine, and mannose was established for the first time in BD serum samples by an NMR-based metabolomics study. Six identified metabolites (3-hydroxybutyric acid, arginine, lysine, tyrosine, phenylalanine, and glycerol) are in agreement with the previously determined NMR-based sets of serum biomarkers in Brazilian and/or Chinese patient samples. The same established metabolites (lactate, alanine, valine, leucine, isoleucine, glutamine, glutamate, glucose, and choline) in three different ethnic and geographic origins (Serbia, Brazil, and China) might have a crucial role in the realization of a universal set of NMR biomarkers for BD.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Glucose is the main source of energy, and in our results, D-glucose was decreased in the model group, Frontiers in Cell and Developmental Biology frontiersin.org implying disturbed energy metabolism. Also, energy deficiency leads to the most common depressive symptoms, including decreased activity, physical fatigue, and slowed cognitive function (Ren et al, 2020). Abnormal glucose metabolism in depression is proven to be associated with suicide risk, which may be related to the cytokine-mediated inflammatory process (Koponen et al, 2015).…”

Section: Figurementioning

confidence: 99%

Integrated network pharmacology and hepatic metabolomics to reveal the mechanism of Acanthopanax senticosus against major depressive disorder

Zhang

Wang

et al. 2022

Front. Cell Dev. Biol.

View full text Add to dashboard Cite

Objective:Acanthopanax senticosus (Rupr. et Maxim.) Harms (ASH) is a traditional herbal medicine widely known for its antifatigue and antistress effects, as well as tonifying qi, invigorating spleen and kidney, and tranquilizing the mind. Recent evidence suggests that ASH has a therapeutic effect on major depressive disorder (MDD), but its mechanism is still unclear. The current study aimed to investigate the effect of ASH on MDD and potential therapeutic mechanisms.Materials and Methods: The chemical compound potential target network was predicted based on network pharmacology. Simultaneously, chronic unpredictable mild stress (CUMS) model mice were orally administrated ASH with three dosages (400, 200, and 100 mg/kg) for 6 weeks, and hepatic metabolomics based on gas chromatography–mass spectrometry (GC–MS) was carried out to identify differential metabolites and related metabolic pathways. Next, the integrated analysis of metabolomics and network pharmacology was applied to find the key target. Finally, molecular docking technology was employed to define the combination of the key target and the corresponding compounds.Results: A total of 13 metabolites and four related metabolic pathways were found in metabolomics analysis. From the combined analysis of network pharmacology and metabolomics, six targets (DAO, MAOA, MAOB, GAA, HK1, and PYGM) are the overlapping targets and two metabolic pathways (glycine, serine, and threonine metabolism and starch and sucrose metabolism) are the most related pathways. Finally, DAO, MAOA, MAOB, GAA, HK1, and PYGM were verified bounding well to their corresponding compounds including isofraxidin, eleutheroside B1, eleutheroside C, quercetin, kaempferol, and acacetin.Conclusion: Based on these results, it was implied that the potential mechanism of ASH on MDD was related to the regulation of metabolism of several excitatory amino acids and carbohydrates, as well as the expression of DAO, MAOA, MAOB, GAA, HK1, and PYGM.

show abstract

“…BD biomarkers in blood, serum, urine, and plasma have been probed using proton nuclear magnetic resonance ( 1 H NMR)(16-18), gas chromatography-mass spectrometry (19), and in vivo brain imaging experiments (20,21). Signi cant metabolic markers, such as α-hydroxybutyrate, choline, and isobutyrate, among others, can differentiate patients with BD from healthy individuals (22)(23)(24)(25) . However, little information on the biomarkers associated with NSSI is available.…”

Section: Introductionmentioning

confidence: 99%

Metabolomic Biomarkers Related to Non-suicidal Self-injury in Patients with Bipolar Disorder

Guo

Jia

Zhang

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Non-suicidal self-injury (NSSI) is an important symptom of bipolar disorder (BD) and other mental disorders and has attracted the attention of researchers lately. Metabolomics is a relatively new field that can provide complementary insights into data obtained from genomic, transcriptomic, and proteomic analyses of psychiatric disorders. The aim of this study was to identify the metabolic pathways associated with BD with NSSI and assess important diagnostic and predictive indices of NSSI in BD.Method: Nuclear magnetic resonance spectrometry was performed to evaluate the serum metabolic profiles of patients with BD with NSSI (n = 31), patients with BD without NSSI (n = 46), and healthy controls (n = 10). Data were analyzed using an Orthogonal Partial Least Square Discriminant Analysis and a t-test. Differential metabolites were identified (VIP > 1 and p < 0.05), and further analyzed using Metabo Analyst 3.0 to identify associated metabolic pathways.Results: Eight metabolites in the serum and two important metabolic pathways, the urea and glutamate metabolism cycles, were found to distinguish patients with BD with NSSI from healthy controls. Eight metabolites in the serum, glycine and serine metabolism pathway, and the glucose-alanine cycle were found to distinguish patients with BD without NSSI from healthy controls. Five metabolites in the serum and the purine metabolism pathway were found to distinguish patients with BD with NSSI from those with BD without NSSI.Conclusions: Abnormalities in the urea cycle, glutamate metabolism, and purine metabolism played important roles in the pathogenesis of BD with NSSI.

show abstract

Metabolic Profiling in Bipolar Disorder Patients During Depressive Episodes

Cited by 13 publications

References 44 publications

Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients

Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients

Integrated network pharmacology and hepatic metabolomics to reveal the mechanism of Acanthopanax senticosus against major depressive disorder

Metabolomic Biomarkers Related to Non-suicidal Self-injury in Patients with Bipolar Disorder

Contact Info

Product

Resources

About