Shaojun Zheng1,2, Yubing Zhu1, Weidong Wu2, Qi Zhang3, Yongqian Wang3, Zhiren Wang3, Fude Yang3. 1. College of Basic Medical and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China. 2. Department of Pharmacology, Basic Medical College, Inner Mongolia Medical University, Huhehaote, China. 3. HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, Beijing, China.
Abstract
OBJECTIVE: This research examines the intestinal-associated flora of patients with depression compared with healthy volunteers to identify the characteristics and differences of flora associated with depression. It provides a theoretical basis for the prevention and treatment of depression through intestinal micro-ecological regulation. METHODS: We recruited 30 patients with depression to participate in the patient group (PG), and 30 volunteers were recruited for the healthy control group (HG) from the Beijing Hui-long-guan Hospital. Thereafter, the 16S rRNA high-throughput sequencing method, using the Hamilton Depression Scale, was applied to analyze patient and healthy groups. RESULTS: PG and HG microflora were different regarding phylum, Family, Genus, and Order. The results showed that Barnesiella was the dominant flora in depression patients, while Lachnospiraceae and Alloprevotella were the dominant bacteria in healthy participants. The proportion of Betaproteobateria (Proteobacteria), Alcaligenaceae (proinflammatory), Peptostreptococcaceae, Catenibacterium, Romboutsia, Sutterella, and Burkholderiales in the anxiety-negative depressed group was significantly higher than in the anxiety-positive group; and the proportion of Anaerostipes (inflammation) and Faecalibacterium (anti-inflammatory) bacteria was significantly lower than that of patients with anxiety. CONCLUSION: Results showed there were differences in intestinal micro-ecology between patients with depression and healthy volunteers. We found that the level of inflammation-related bacteria in anxiety-positive patients was lower than that in anxiety-negative patients. These results enrich the knowledge of relationships between depression and intestinal flora and provide a theoretical basis for probiotics to assist in the treatment of depression.
OBJECTIVE: This research examines the intestinal-associated flora of patients with depression compared with healthy volunteers to identify the characteristics and differences of flora associated with depression. It provides a theoretical basis for the prevention and treatment of depression through intestinal micro-ecological regulation. METHODS: We recruited 30 patients with depression to participate in the patient group (PG), and 30 volunteers were recruited for the healthy control group (HG) from the Beijing Hui-long-guan Hospital. Thereafter, the 16S rRNA high-throughput sequencing method, using the Hamilton Depression Scale, was applied to analyze patient and healthy groups. RESULTS:PG and HG microflora were different regarding phylum, Family, Genus, and Order. The results showed that Barnesiella was the dominant flora in depressionpatients, while Lachnospiraceae and Alloprevotella were the dominant bacteria in healthy participants. The proportion of Betaproteobateria (Proteobacteria), Alcaligenaceae (proinflammatory), Peptostreptococcaceae, Catenibacterium, Romboutsia, Sutterella, and Burkholderiales in the anxiety-negative depressed group was significantly higher than in the anxiety-positive group; and the proportion of Anaerostipes (inflammation) and Faecalibacterium (anti-inflammatory) bacteria was significantly lower than that of patients with anxiety. CONCLUSION: Results showed there were differences in intestinal micro-ecology between patients with depression and healthy volunteers. We found that the level of inflammation-related bacteria in anxiety-positive patients was lower than that in anxiety-negative patients. These results enrich the knowledge of relationships between depression and intestinal flora and provide a theoretical basis for probiotics to assist in the treatment of depression.
Authors: Sauliha R Alli; Ilona Gorbovskaya; Jonathan C W Liu; Nathan J Kolla; Lisa Brown; Daniel J Müller Journal: Int J Mol Sci Date: 2022-04-19 Impact factor: 6.208
Authors: A J McGuinness; J A Davis; S L Dawson; A Loughman; F Collier; M O'Hely; C A Simpson; J Green; W Marx; C Hair; G Guest; M Mohebbi; M Berk; D Stupart; D Watters; F N Jacka Journal: Mol Psychiatry Date: 2022-02-22 Impact factor: 13.437