Traditional Chinese medicine (TCM) body constitution is a key factor in determining and influencing the occurrence, development, and variation of diseases. As the mind interact with the body, TCM body constitution is useful in preventing and treating psychiatric disorders and insomnia.

To investigate the interrelationship between TCM body constitution, psychiatric disorders and sleep quality.

A total of 2441 participants were enrolled in our study. TCM body constitution was measured using the Constitution in Chinese Medicine Questionnaire, sleep quality was assessed using the Chinese version of the Pittsburgh Sleep Quality Index, and psychopathological symptoms were evaluated using Symptom Checklist-90. Logistic regression was used to estimate the interrelationship between TCM body constitution, psychiatric disorders and sleep quality.

The Pittsburgh Sleep Quality Index score and the proportions of participants with Qi-deficiency constitution, Qi-stagnation constitution, and blood-stasis constitution were significantly higher in the psychiatric symptoms group. Additionally, psychiatric symptoms were considerably associated with sleep quality, Qi-deficiency constitution, and Qi-stagnation constitution, but were inversely associated with male sex. Obsessive-compulsive symptoms were considerably associated with sleep quality, Qi-deficiency constitution and Qi-stagnation constitution. Depression was considerably associated with sleep quality, hyperuricemia, and Qi-stagnation constitution. Anxiety was considerably associated with sleep quality, diabetes, and Qi-stagnation constitution. Finally, poor sleep quality was considerably associated with Qi-deficiency constitution, Qi-stagnation constitution, dampness-heat constitution, phlegm-dampness constitution, and blood-stasis constitution but was inversely associated with male sex and body mass index > 23.9.

TCM body constitutions are strongly associated with psychiatric symptoms and sleep quality. Further research is needed to verify whether TCM body constitution can be used to treat and prevent psychiatric conditions as well as enhance sleep quality.

This systematic review with trial sequential analysis (TSA) aims to evaluate the efficacy and safety of Shu Mian Capsule (SMC), a commercial Chinese polyherbal preparation, for managing depression with or without comorbid insomnia.

Controlled clinical trials assessing SMC against waitlist control, placebo or active controls, or as an adjunct treatment were searched across seven databases. Risk of bias and evidence quality were assessed using Cochrane criteria and GRADE framework, respectively.

Fourteen studies were analyzed, involving 1207 participants. Trials comparing SMC with placebo or standard antidepressive treatments were limited. In depressed patients without comorbid insomnia, combining SMC with antidepressants reduced the incidence of antidepressants-induced sleep disorders (from 12.2% to 3.8%) but did not significantly lower Hamilton Rating Scale for Depression (HAM-D) scores compared to antidepressants alone [SMD = -0.09, 95% CI (-0.32, 0.14), p = 0.45]. In depressed patients with comorbid insomnia, the combination of SMC and psychotropic drugs significantly reduced HAM-D [SMD = -1.29, 95% CI (-1.96, -0.62), p < 0.01] and Pittsburgh Sleep Quality Index scores [SMD = -1.53, 95% CI (-1.95, -1.11), p < 0.01], and exhibited a lower incidence of various drug-related adverse effects compared to psychotropic drugs alone. TSA validated the sample size adequacy; nevertheless, the methodological quality of supporting studies varied from very low to low due to substantial bias risk. Additionally, 92.9% of trials lacked follow-ups.

The effectiveness of SMC as an alternative to conventional antidepressive treatment is unclear. For depressed patients with comorbid insomnia, adding SMC to standard care demonstrates augmented efficacy and improved safety, though the supporting evidence is methodologically limited. Further rigorous trials are warranted to confirm SMC's short-term efficacy and explore its medium- to long-term effects as either an alternative or complementary therapy. Current evidence precludes recommendations for the administration of SMC in depression.

Daylily is a functional food with high nutritional value in China. Datong (DT) in Shanxi Province is one of the four main production areas of daylily. Therefore, Linfen (LF), Lvliang (LL), and Yangquan (YQ) in Shanxi Province have also introduced daylily from DT. However, geographical and climatic conditions and producing patterns cause variations in the daylily quality. In the present study, we found that the nutrient composition of daylilies from different producing areas of Shanxi Province varied. The key environmental factors affecting the nutrition of daylily in different regions were altitude and temperature. The widely targeted metabolomics results showed that 1642 metabolites were found in daylily. The differential metabolites between DT and YQ, LL and LF were 557, 667, and 359, respectively. Notably, 9 metabolic pathways and 59 metabolite markers were associated with daylily from different areas. This study provides a theoretical basis for the quality maintenance and health efficacy research of daylily.

In this narrative review article, we discuss the role of sleep deprivation (SD) in memory processing in rodent models. Numerous studies have examined the effects of SD on memory, with the majority showing that sleep disorders negatively affect memory. Currently, a consensus has not been established on which damage mechanism is the most appropriate. This critical issue in the neuroscience of sleep remains largely unknown. This review article aims to elucidate the mechanisms that underlie the damaging effects of SD on memory. It also proposes a scientific solution that might explain some findings. We have chosen to summarize literature that is both representative and comprehensive, as well as innovative in its approach. We examined the effects of SD on memory, including synaptic plasticity, neuritis, oxidative stress, and neurotransmitters. Results provide valuable insights into the mechanisms by which SD impairs memory function.