Acute treatment of bilateral rTMS combined with antidepressants on the plasma fatty acids for major depressive episodes.

Bilateral repetitive transcranial magnetic stimulation (B-rTMS) has been largely used in the treatment of major depressive disorder (MDD). Nonetheless, information on the acute treatment by B-rTMS combined with antidepressants (ADs) on the plasma fatty acids in MDD is limited. The present study focused on depressive symptoms; Plasma was obtained from 27 adult patients with MDD at baselinephase (MDD), after 2 weeks of treatment (MDD-2w), and 27 healthy controls (HC). Meanwhile, we evaluated the composition of short-chain fatty acids (SCFAs) and medium-and long-chain fatty acids (MLCFAs) in the plasma. Consequently, the levels of Isobutyric acid, Caproic acid, and Propionic acid were low both in the MDD and MDD-2w groups and negatively correlated with the scores of HAMD and HAMA. Besides, minimal changes were observed between the MDD and HC groups, whereas significant MLCFA levels were high in the MDD-2w group. Moreover, we developed combined panels that could effectively differentiate MDD from HCs (AUC=0.99), MDD-2w from HC (AUC=0.983), and MDD from MDD-2w (AUC=0.852). These findings may provide a reference for the use of B-rTMS combined with ADs against the acute phase of depressive episodes and shed light on the relationship between plasma FAs and MDD.

The gut microbiome from middle-aged women with depression modulates depressive-like behaviors and plasma fatty acid metabolism in female middle-aged mice.

BACKGROUND: Intestinal dysbacteriosis has frequently been involved in the context of depression. Nonetheless, only scant information is available about the features and functional changes of gut microbiota in female middle-aged depression (MAD). OBJECTIVE: This study aims to explore whether there are characteristic changes in the gut microbes of female MAD and whether these changes are associated with depressive-like behaviors. Meanwhile, this study observed alterations in the lipid metabolism function of gut microbes and further examined changes in plasma medium- and long-chain fatty acids (MLCFAs) in mice that underwent fecal microbiota transplantation (FMT). METHODS: Stool samples obtained from 31 MAD, along with 24 healthy individuals (HC) were analyzed by 16 S rRNA gene sequencing. Meanwhile, 14-month-old female C57BL/6J mice received antibiotic cocktails and then oral gavage of the microbiota suspension of MAD or HC for 3 weeks to reconstruct gut microbiota. The subsequent depressive-like behaviors, the composition of gut microbiota, as well as MLCFAs in the plasma were evaluated. RESULTS: A noteworthy disruption in gut microbial composition in MAD individuals compared to HC was observed. Several distinct bacterial taxa, including Dorea, Butyricicoccus, and Blautia, demonstrated associations with the demographic variables. A particular microbial panel encompassing 49 genera effectively differentiated MAD patients from HC (AUC = 0.82). Fecal microbiome transplantation from MAD subjects led to depressive-like behaviors and dysfunction of plasma MLCFAs in mice. CONCLUSIONS: These findings suggest that microbial dysbiosis is linked to the pathogenesis of MAD, and its role may be associated with the regulation of MLCFAs metabolism.

Alterations of Plasma Lipids in Adult Women With Major Depressive Disorder and Bipolar Depression.

Lipidomics has been established as a potential tool for the investigation of mental diseases. However, the composition analysis and the comparison of the peripheral lipids regarding adult women with major depressive depression (MDD) or bipolar depression (BPD) has been poorly addressed. In the present study, age-matched female individuals with MDD (n = 28), BPD (n = 22) and healthy controls (HC, n = 25) were enrolled. Clinical symptoms were assessed and the plasma samples were analyzed by comprehensive lipid profiling based on liquid chromatography-mass spectrometry (LC/MS). We found that the composition of lipids was remarkably changed in the patients with MDD and BPD when compared to HC or compared to each other. Moreover, we identified diagnostic potential biomarkers comprising 20 lipids that can distinguish MDD from HC (area under the curve, AUC = 0.897) and 8 lipids that can distinguish BPD from HC (AUC = 0.784), as well as 13 lipids were identified to distinguish MDD from BPD with moderate reliability (AUC = 0.860). This study provides further understanding of abnormal lipid metabolism in adult women with MDD and BPD and may develop lipid classifiers able to effectively discriminate MDD from BPD and HC.