| Literature DB >> 31546592 |
Te-Hsuan Tung1, Yu-Tang Tung2, I-Hsuan Lin3, Chun-Kuang Shih4, Ngan Thi Kim Nguyen5, Amalina Shabrina6, Shih-Yi Huang7,8,9.
Abstract
BACKGROUND: This study investigated the effects of fish oil and olive oil in improving dysbiosis and depressive-like symptoms. METHODS ANDEntities:
Keywords: chronic mild stress; depression; fish oil; gut microbiota; olive oil
Year: 2019 PMID: 31546592 PMCID: PMC6843453 DOI: 10.3390/biom9100516
Source DB: PubMed Journal: Biomolecules ISSN: 2218-273X
Figure 1Experimental flow chart. Experimental animals were divided into five groups. CMS—chronic mild stress; SPT—sucrose preference test; OFT:—open field test; FST—forced swimming test.
Figure 2Weight change groups. The entire experimental period was divided into three parts. The group differences are displayed for each part. CMS was administered from week 2, and CMS significantly reduced the increase in weight during week 5–8. Data are expressed as mean ± SD (n = 8 or 9 per group). Values with different superscript letters are significantly different at p < 0.05.
Figure 3Anxiety-like and depressive-like behavioral tests. (A) Total distance traveled and (B) central visit duration in the OFT. CMS significantly reduced the total distance traveled. (C) Percentage of sucrose water consumed in the SPT. The CMS groups drank significantly less sucrose water. (D) Immobile time in the FST and (E) corticosterone levels in plasma. CMS significantly elevated the immobile time. Data are expressed as mean ± SD (n = 6 per group). * Significantly different using Student’s t test (p < 0.05). Values with different superscript letters are significantly different at p < 0.05.
Figure 4Percentages of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in the (A) prefrontal cortex (PFC) and (B) hippocampus. Data are expressed as mean ± SD (n = 8 or 9 per group). Values with different superscript letters are significantly different at p < 0.05.
Figure 5Taxonomic differences in faecal microbiota. Comparison of relative abundance across all groups. (A) Non-metric multidimensional scaling Bray distance methods were used to discriminate between the five groups. (B) LEfSe was used to identify the most differentially abundant bacteria in all groups, except the CMS+P group. The brightness of each dot is proportional to the effect size. (C) Only bacteria meeting a linear discriminant analysis threshold of >2 are shown (n = 5 per group).
Figure 6(A) and (B) Pearson correlation between relative abundance of Lachnoapiraceae_UCG006 and percentage of EPA and DHA in the hippocampus, respectively. (C) Pearson correlation between relative abundance of Erysipelatoclostridium and percentage of EPA in the hippocampus. (D) and (E) Pearson correlation between relative abundance of Ruminiclostridium_5 and percentage of EPA and arachidonic acid (AA) in the hippocampus, respectively. A value of p < 0.05 indicates a significant correlation.