Differential urinary metabolites related with the severity of major depressive disorder

被引:64
|
作者
Chen, Jian-jun [1 ,2 ,3 ,4 ,5 ,6 ]
Zhou, Chan-juan [4 ,5 ,6 ,7 ]
Zheng, Peng [2 ,4 ,5 ,6 ]
Cheng, Ke [2 ,4 ,5 ,6 ]
Wang, Hai-yang [2 ,4 ,5 ]
Li, Juan [2 ,4 ,5 ]
Zeng, Li [2 ,4 ,5 ]
Xie, Peng [2 ,4 ,5 ,6 ]
机构
[1] Chongqing Med Univ, Inst Life Sci, Chongqing, Peoples R China
[2] Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, 1 Yixueyuan Rd, Chongqing 400016, Peoples R China
[3] Chongqing Med Univ, Joint Int Res Lab Reprod & Dev, Chongqing, Peoples R China
[4] Chongqing Med Univ, Inst Neurosci, Chongqing, Peoples R China
[5] Chongqing Med Univ, Chongqing Key Lab Neurobiol, Chongqing, Peoples R China
[6] Chongqing Med Univ, Collaborat Innovat Ctr Brain Sci, Chongqing, Peoples R China
[7] Chongqing Med Univ, Yongchuan Hosp, Dept Neurol, Chongqing, Peoples R China
关键词
Major depressive disorder; MDD; Biomarker; Metabolomics; TRANSCRANIAL MAGNETIC STIMULATION; RATING-SCALE; BIOMARKER; PLASMA; IDENTIFICATION; METAANALYSIS; VALIDATION; MODERATE;
D O I
10.1016/j.bbr.2017.06.012
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Major depressive disorder (MDD) is a common mental disorder that affects a person's general health. However, there is still no objective laboratory test for diagnosing MDD. Here, an integrated analysis of data from our previous studies was performed to identify the differential metabolites in the urine of moderate and severe MDD patients. A dual platform approach (NMR spectroscopy and GC MS) was used. Consequently, 14 and 22 differential metabolites responsible for separating moderate and severe MDD patients, respectively, from their respective healthy controls (HCs) were identified. Meanwhile, the moderate MDD-specific panel (N-Methylnicotinamide, Acetone, Choline, Citrate, vanillic acid and azelaic acid) and severe MDD-specific panel (indoxyl sulphate, Taurine, Citrate, 3-hydroxyphenylacetic acid, palmitic acid and Lactate) could discriminate moderate and severe MDD patients, respectively, from their respective HCs with high accuracy. Moreover, the differential metabolites in severe MDD were significantly involved in three metabolic pathways and some bio-functions. These results showed that there were divergent urinary metabolic phenotypes in moderate and severe MDD patients, and the identified potential urinary biomarkers might be useful for future developing objective diagnostic tests for MDD diagnosis. Our results could also be helpful for researchers to study the pathogenesis of MDD.
引用
收藏
页码:280 / 287
页数:8
相关论文
共 50 条
  • [41] Covariation between spontaneous neural activity in the insula and affective temperaments is related to sleep disturbance in individuals with major depressive disorder
    Wu, Huawang
    Zheng, Yingjun
    Zhan, Qianqian
    Dong, Jie
    Peng, Hongjun
    Zhai, Jinguo
    Zhao, Jingping
    She, Shenglin
    Wu, Chao
    PSYCHOLOGICAL MEDICINE, 2021, 51 (05) : 731 - 740
  • [42] Mixed anxiety-depressive disorder and major depressive disorder:: comparison of the severity of illness and biological variables
    Kara, S
    Yazici, KM
    Güleç, C
    Ünsal, I
    PSYCHIATRY RESEARCH, 2000, 94 (01) : 59 - 66
  • [43] MicroRNAs as novel peripheral markers for suicidality in patients with major depressive disorder
    Stapel, Britta
    Xiao, Ke
    Gorinski, Nataliya
    Schmidt, Kevin
    Pfanne, Angelika
    Fiedler, Jan
    Richter, Imke
    Vollbrecht, Anna-Lena
    Thum, Thomas
    Kahl, Kai G.
    Ponimaskin, Evgeni
    FRONTIERS IN PSYCHIATRY, 2022, 13
  • [44] Contribution of physiological dynamics in predicting major depressive disorder severity
    Pages, Esther Garcia
    Kontaxis, Spyridon
    Siddi, Sara
    Posadas-de Miguel, Mar
    de la Camara, Concepcion
    Bernal, Maria Luisa
    Ribeiro, Thais Castro
    Laguna, Pablo
    Badiella, Llorenc
    Bailon, Raquel
    Haro, Josep Maria
    Aguilo, Jordi
    PSYCHOPHYSIOLOGY, 2025, 62 (02)
  • [45] Identification of Sex-Specific Plasma Biomarkers Using Metabolomics for Major Depressive Disorder in Children and Adolescents
    Jiang, Yuanliang
    Qin, Mengchang
    Teng, Teng
    Li, Xuemei
    Yu, Ying
    Wang, Jie
    Wu, Hongyan
    He, Yuqian
    Zhou, Xinyu
    Xie, Peng
    FRONTIERS IN PSYCHIATRY, 2022, 13
  • [46] Disturbances of mitochondrial parameters to distinguish patients with depressive episode of bipolar disorder and major depressive disorder
    Zverova, Martina
    Hroudova, Jana
    Fisar, Zdenek
    Hansikova, Hana
    Kalisova, Lucie
    Kitzlerova, Eva
    Lambertova, Alena
    Raboch, Jiri
    NEUROPSYCHIATRIC DISEASE AND TREATMENT, 2019, 15 : 233 - 240
  • [47] Neuroimaging Biomarkers for Predicting Treatment Response and Recurrence of Major Depressive Disorder
    Kang, Seung-Gul
    Cho, Seo-Eun
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (06)
  • [48] Distribution of microRNAs associated with major depressive disorder among blood compartments
    Homorogan, Claudia
    Enatescu, Virgil Radu
    Nitusca, Diana
    Marcu, Anca
    Seclaman, Edward
    Marian, Catalin
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2021, 49 (04)
  • [49] ABCB1 gene polymorphisms are associated with the severity of major depressive disorder and its response to escitalopram treatment
    Lin, Keh-Ming
    Chiu, Yen-Feng
    Tsai, I-Ju
    Chen, Chia-Hui
    Shen, Winston W.
    Liu, Shu Chih
    Lu, Shao-Chun
    Liu, Chia-Yih
    Hsiao, Mei-Chun
    Tang, Hwa-Sheng
    Liu, Shen-Ing
    Chang, Liang-Huey
    Wu, Chi-Shin
    Tsou, Hsiao-Hui
    Tsai, Ming-Hsien
    Chen, Chun-Yu
    Wang, Su-Mei
    Kuo, Hsiang-Wei
    Hsu, Ya-Ting
    Liu, Yu-Li
    PHARMACOGENETICS AND GENOMICS, 2011, 21 (04) : 163 - 170
  • [50] Age-related variability in the presentation of symptoms of major depressive disorder
    Schaakxs, R.
    Comijs, H. C.
    Lamers, F.
    Beekman, A. T. F.
    Penninx, B. W. J. H.
    PSYCHOLOGICAL MEDICINE, 2017, 47 (03) : 543 - 552