With increasing attention paid to the concept of the microbiota-gut-brain axis, mounting evidence reveals that the gut microbiota is involved in a variety of neurological and psychiatric diseases. However, gut microbiota changes in major depressive disorder (MDD) patients and their association with disease mechanisms remain undefined. Fifty MDD patients and sixty healthy controls were recruited from the Shanghai Healthy Mental Center, China. Fecal samples were collected, and the compositional characteristics of the intestinal flora were determined in MDD patients by MiSeq sequencing. Venous blood was collected for the detection of plasma indoleamine-2,3-dioxygenase (Ido), kynurenine (Kyn) and tryptophan (Trp) levels. Stool samples of bacterial 16S sequencing was carried out. A total of 2,705,809 optimized sequences were obtained, with an average of 54,116 per sample. More unique OTUs were observed at the family, genus and species levels in the control group compared with the MDD cases. Further analysis showed significant changes in the α- and β-diversities and relative abundance levels of gut microbial entities in MDD patients, as well as elevated amounts of Ido and Kyn indicating Kyn pathway activation, KEGG bacterial 16S function prediction analysis shows a variety of amino acids and metabolic (including Ido, Trp and Kyn) changes in the body of patients with MDD. These may result in increased neurotoxic metabolites and reduced generation of serotonin in the disease process. These changed factors may potentially be utilized as biomarkers for MDD in the future, playing more important roles in the disease course.
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http://dx.doi.org/10.3390/nu15071752 | DOI Listing |
PLoS One
January 2025
King's College London-Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.
Major depressive disorder (MDD) is defined by an array of symptoms that make it challenging to understand the condition at a population level. Subtyping offers a way to unpick this phenotypic diversity for improved disorder characterisation. We aimed to identify depression subtypes longitudinally using the Inventory of Depressive Symptomatology: Self-Report (IDS-SR).
View Article and Find Full Text PDFPharmacol Rep
January 2025
Laboratory of Translational Physiology and Pharmacology, Pharmaceutical Sciences Graduate Program, Vila Velha University (UVV), R Mercurio s/n, Vila Velha, ES, 29102623, Brazil.
Background: The therapeutic targeting of the intestinal microbiota has gained increasing attention as a promising avenue for addressing mood disorders. This study aimed to assess the potential effect of supplementing standard pharmacological treatment with the probiotic kefir in patients with Major Depressive Disorder (MDD).
Methods: Thirty-eight female participants diagnosed with moderate MDD by the Hamilton Rating Scale for Depression (HAM-D) were selected to receive the probiotic kefir in conjunction with antidepressant therapy for 12 weeks.
Br J Psychiatry
January 2025
Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, USA; Department of Human Genetics, University of California Los Angeles, USA; and Department of Computational Medicine, University of California Los Angeles, USA.
Background: Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).
Aims: We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.
BMJ Open
December 2024
Centre for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada.
Objectives: To describe the population that meets the criteria for major depressive disorder (MDD) in British Columbia (BC), compare patterns of healthcare utilisation between those with MDD who are and are not prescribed pharmacotherapy, and assess these relationships in models that control for potential confounding variables.
Design: We used a population cross-sectional study design among a cohort of individuals living with MDD and examined the relationship between pharmacotherapy and healthcare utilisation between 2019 and 2020 using linked billing and administrative data.
Setting: This study identified individuals with MDD using a validated case definition of International Classification of Diseases (ICD) codes in BC, Canada.
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