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Muller-Myhsok, B.

Publications and source records attributed to Muller-Myhsok, B..

2 recordsLinked to original sources

Loss of noradrenergic Fkbp5 disrupts social behavior and norepinephrine dynamics in the basolateral amygdala

Social dysfunction is common in depression and varies with stress exposure and genetic risk. The current study identifies a cell-type specific role for Fkbp5, a glucocorticoid receptor co-chaperone, in noradrenergic neurons engaged during social stress. Acute social stress upregulated Fkbp5 in the locus coeruleus (LC), whereas repeated exposure attenuated this effect. Noradrenergic Fkbp5 deletion (Fkbp5Nat) increased pro-social behavior exclusively in male mice. In the basolateral amygdala (BLA), social interaction reduced norepinephrine (NE) turnover in wild-type but not Fkbp5Nat mice. Consistently, proteomics revealed mitochondrial/energy and synapse-related remodeling in BLA neurons. Miniscope imaging showed that behavior-locked NE transients in BLA were selectively blunted in Fkbp5Nat mice during interaction with outbred CD1 conspecifics, while same-strain C57BL/6N encounters preserved NE dynamics. Together, this study indicates that Fkbp5 tunes LC-BLA output to social salience in a sex- and context-dependent manner, suggesting a circuit-specific route to normalize social salience without broadly suppressing noradrenergic function.

neuroscience↗

Multi-omic data integration and analyses for biomarker discovery of spontaneous preterm birth phenotypes

BackgroundPreterm birth, delivery <37 weeks of gestation, is a global health concern affecting 1.3 million infants annually. A higher morbidity burden is associated with infants born <34 weeks of gestation. A more robust biomarker of spontaneous preterm birth needs to be identified. To our knowledge, this study uniquely integrated three ome-wide datasets prospectively collected from the same individuals within a single, defined UK cohort. The study aimed to integrate genomic, transcriptomic, and metabolomic data collected from the same cohort of women for biomarker discovery. MethodsPregnant women with a history of a previous spontaneous preterm birth (sPTB) <34 weeks were recruited in Liverpool in a subsequent pregnancy at 16 and/or 20 weeks of gestation. Pregnancy outcomes were followed up and categorised into the different clinical subgroups of SPTB <34 weeks, PPROM <34 weeks and term delivery >37 weeks (controls). Blood samples were profiled for genomics, transcriptomics and metabolomics. ANOVA analyses were performed at each gestational timepoint. Network enrichment analysis was performed on significant genes. ResultsAfter multi-omic data integration, 43 women at week 16 and 40 women at week 20 of gestation had all three genomics, transcriptomics and metabolomics profiles available. Multiple significant transcripts were detected (p<0.05) from the ANOVA analyses, though these were mostly in non-coding regions. ConclusionThree different omic data, genomics, transcriptomics and metabolomics, were integrated across the same individuals for biomarker analyses. Molecular signatures were detected that could lead to understanding the pathways involved in the different subgroups of preterm birth: SPTB and PPROM.

systems biology↗