OBJECTIVE: To observe the clinical effect of Tiaoshen Guben holistic therapy of acupuncture and moxibustion (holistic treatment with acupuncture and moxibustion by adjusting the mind and consolidating the root) on comorbidity of depression and insomnia. METHODS: Twenty-four patients with comorbidity of depression and insomnia were included and treated with Tiaoshen Guben holistic therapy of acupuncture and moxibustion. Acupuncture was applied to Baihui (GV20), Guanyuan (CV4), bilateral Neiguan (PC6), etc. The refined moxibustion therapy was delivered at Zhongwan (CV12), Qihai (CV6), bilateral Yongquan (KI1), etc. Subcutaneous embedding therapy with thumb-tack needle was adopted at bilateral Xinshu (BL15), bilateral Pishu (BL20), etc. The intervention was operated once every other day, 3 treatments a week, and for 6 consecutive weeks. Before and after treatment completion, and in 1 month after treatment, Pittsburgh sleep quality index (PSQI) and Hamilton's depression scale (HAMD-17) were adopted to assess sleep quality and depression symptoms in the patients, respectively. Before and after treatment completion, using functional magnetic resonance imaging (fMRI), the functional connectivity (FC) of locus coeruleus (LC) in brain regions was evaluated; and the levels of serum norepinephrine (NE), cortisol (CORT), adrenocorticotropic hormone (ACTH) and corticotropin releasing hormone (CRH) were detected. RESULTS: Compared with the scores before treatment, PSQI and HAMD-17 scores after treatment completion and in 1 month after treatment were reduced (P<0.01); and strengthened FC was revealed between the right LC and the pars opercularis of the left inferior frontal gyrus, as well as the lateral occipital lobe region. After treatment completion, serum NE was elevated (P<0.01), the levels of CORT, ACTH and CRH were reduced (P<0.01). Before and after treatment completion, the difference in FC between the right LC and the pars opercularis of the left inferior frontal gyrus was negatively correlated with the differences in PSQI score (r = -0.484, P = 0.016) and HAMD-17 score (r = -0.233, P = 0.027). CONCLUSION Tiaoshen Guben holistic therapy of acupuncture and moxibustion can effectively alleviate depression symptoms and improve sleep quality in the patients with comorbidity of depression and insomnia, which is obtained probably through reducing the levels of serum CORT, ACTH and CRH, increasing serum NE, strengthening the FC of the right LC with the pars opercularis of the left inferior frontal gyrus and the lateral occipital lobe region.
Humans ; Moxibustion ; Sleep Initiation and Maintenance Disorders/therapy* ; Male ; Female ; Middle Aged ; Adult ; Acupuncture Therapy ; Depression/complications* ; Aged ; Young Adult ; Acupuncture Points ; Comorbidity

Semisupervisedmakesfulluseoflargeamountsofunlabeledsamplestomakeuptheinsufficiency of labeled samples. Since it is difficult to obtain a large number of accurate labeled samples and it is a good way for modeling by using a small amount of labeled samples or a large number of inaccurate samples, we proposed a new method named as semi-supervised partial least squares ( SS-PLS) to optimize model based on semi supervised learning. We used 211 samples of tobacco near infrared spectrum and sensory evaluation for modeling and used SS-PLS method to optimize tobacco sensory evaluation model. In the optimized model, the coefficient of determination ( R2 ) can reach up to 90%, the ratio of performance to deviation ( RPD) can reach up to 3 . 0 , and the standard error of cross validation and the standard error of prediction ( SECV and SEP) are below 1. 0. We divided the original sensory evaluation and SS-PLS optimized data into three grades of excellent, medium and poor in accordance with the fixed threshold, the result using projection model of based on principal component and Fisher criterion ( PPF ) shows that the classification of SS-PLS optimized data is better than the original sensory evaluation data. The SS-PLS method can solve the data representation problem of using small sample set for modeling and provides a new chemometrics method for near infrared spectroscopy modeling in case of obtaining a large number of accurately labeled samples is difficult.