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The p75 neurotrophin receptor (p75(NTR)) is an essential component of neurotrophin system, and has been implicated in the pathogenesis of major depressive disorder (MDD) and in the mechanism of antidepressant action. This study aimed to delineate the association between phenotype (MDD susceptibility and antidepressant response) and genotype (p75(NTR) common genetic variants) in a Chinese population. A total of 228 MDD patients and 402 unrelated controls were recruited. Subjects took selective serotonin reuptake inhibitors (SSRIs) and responders were defined as those with at least a 50% decrease in score of the Hamilton Rating Scale for Depression (HAM-D) from baseline. Five p75(NTR) polymorphisms were genotyped and their association with MDD or treatment response was assessed by haplotype and single marker analysis. No significant association with MDD was discovered in single locus or haplotype analyses. With regard to the therapeutic outcome, however, one missense polymorphism (S250L) showed association in both genotype distribution (P = 0.039) and allele frequency (P = 0.012). Haplotype analysis also revealed that p75(NTR) TCT carriers had a more unfavorable response to therapy (P = 0.010). Our exploratory study has demonstrated the association between p75(NTR) and SSRI response for the first time, which may assist in individualized therapy for MDD patients in the future.

Scanning two-photon (2P) fiberscopes (also termed endomicroscopes) have the potential to transform our understanding of how discrete neural activity patterns result in distinct behaviors, as they are capable of high resolution, sub cellular imaging yet small and light enough to allow free movement of mice. However, their acquisition speed is currently suboptimal, due to opto-mechanical size and weight constraints. Here we demonstrate significant advances in 2P fiberscopy that allow high resolution imaging at high speeds (26 fps) in freely-behaving mice. A high-speed scanner and a down-sampling scheme are developed to boost imaging speed, and a deep learning (DL) algorithm is introduced to recover image quality. For the DL algorithm, a two-stage learning transfer strategy is established to generate proper training datasets for enhancing the quality of in vivo images. Implementation enables video-rate imaging at ~26 fps, representing 10-fold improvement in imaging speed over the previous 2P fiberscopy technology while maintaining a high signal-to-noise ratio and imaging resolution. This DL-assisted 2P fiberscope is capable of imaging the arousal-induced activity changes in populations of layer2/3 pyramidal neurons in the primary motor cortex of freely-behaving mice, providing opportunities to define the neural basis of behavior.