The Psychosomatic Traits of "People with the Five Elements in Traditional Chinese Medicine": A Qualitative Study.

Objective: To identify the representative attributes of the five elements of a person with a qualitative methodology and provide the basis for the clinical diagnosis and treatment of "people with the five elements in traditional Chinese medicine (TCM)." Methods: Data collected from the literature review, two sessions of brainstorming of experts with related experience in "people with the five elements in TCM" from October 2020 to December 2020, and six rounds of in-depth interviews with 30 participants who had various attributes of the five elements from March 2021 to October 2021 were analyzed. Triangulation was used in this study, and theming and synthesizing were used to analyze the data. Results: A total of 31 experts and 30 interviewees participated in this study. The median age of the experts and interviewees were 48.0 and 38.5 years, respectively; 51.66% and 54.8% of experts and interviewees, respectively, were men. The descriptors of facial diagrams of "people with the five elements in TCM" were complexion, shape, distribution state of facial bones, convergence trend of facial muscles, and facial expression. A theoretical model of "people with the five elements in TCM" was shaped based on these findings. Conclusion: The study suggests a possibility for bridging the gap between personality and bodily state, identifying an avenue for personality research from the perspective of TCM.

Acupuncture for metabolic syndrome: systematic review and meta-analysis.

BACKGROUND: Metabolic syndrome (MetS) is a cluster of conditions associated with an increased risk of cardiovascular disease and diabetes mellitus. Acupuncture may have benefits in the treatment of MetS. This systematic review with meta-analysis aimed to determine the effectiveness and safety of acupuncture therapy in the treatment of MetS. METHODS: Large-sample randomized controlled trials (RCTs) of acupuncture treatment for MetS were extracted from multiple Chinese and English databases and analyzed using meta-analysis to evaluate the efficacy/effectiveness of acupuncture with respect to various MetS indices in comparison with control treatments including conventional medications (CMs) and lifestyle intervention (LI), together and separately. RESULTS: A total of 13 RCTs were identified with 423 subjects undergoing acupuncture regimens and 411 receiving control interventions. Active acupuncture yielded better outcomes than sham acupuncture with respect to improving multiple MetS indices. Acupuncture monotherapy had similar effectiveness in controlling triglyceride levels and high-density lipoprotein levels compared to CMs. The overall effects of adjunctive acupuncture were markedly greater than those of controls (CMs + LI, CMs, and LI) with respect to waist circumference with a mean difference of -5.11 cm (Z = 4.57, p < 0.001) and body mass index with a mean difference of -2.54 (Z = 5.38, p <0.001), and improvements were observed in most hyperlipidemia indices and fasting blood glucose. An evidence-based acupuncture regimen was identified as a future treatment strategy for MetS. CONCLUSION: Acupuncture is beneficial in the treatment of MetS and could serve as an alternative therapy for MetS-associated conditions. Larger-scale RCTs are needed to confirm the efficacy/effectiveness of our recommended evidence-based acupuncture regimen in MetS.

Enhanced functional connectivity of the default mode network (DMN) in patients with spleen deficiency syndrome: A resting-state fMRI study.

Numerous studies had investigated the biological basis of spleen deficiency syndrome on gastrointestinal dysfunctions. However, little was known about neuropsychological mechanism of spleen deficiency syndrome. The default model network (DMN) plays an important role in cognitive processing. Our aim is to investigate the change of neuropsychological tests and DMN in patients with spleen deficiency syndrome.Sixteen patients and 12 healthy subjects underwent functional magnetic resonance imaging examination, and 15 patients with spleen deficiency syndrome and 6 healthy subjects take part in the two neuropsychological tests.Compared with healthy subjects, patients with spleen deficiency syndrome revealed significantly increased functional connectivity within DMN, and significantly higher in the scores of 2-FT (P = .002) and 3-FT (P = .014).Our findings suggest that patients with spleen deficiency syndrome are associated with abnormal functional connectivity of DMN and part of neuropsychological tests, which provide new evidence in neuroimaging to support the notion of TCM that the spleen stores Yi and domains thoughts.

Validation of p27KIP1 expression levels as a candidate predictive biomarker of response to rapalogs in patient-derived breast tumor xenografts.

Blockade of mammalian target of rapamycin (mTOR) is a promising area in breast cancer therapy. However, in clinical trials, objective response rate with mTOR inhibitor monotherapy in breast cancer was modest. Biomarker studies designed to identify the responders of rapalogs are of increasing interest. We validated p27KIP1 expression levels as a candidate predictive biomarker of response to rapalogs. We also analyzed the correlation between rapamycin activity and p27KIP1 expression in the primary breast cancer cells and the patient-derived breast tumor xenograft models. The cells isolated from the breast tumor tissues expressing high levels of p27KIP1 were sensitive to rapamycin, whereas the cells from the tissues expressing low levels of p27KIP1 exhibited resistance to rapamycin. The correlation between p27KIP1 expression and rapamycin antitumor activity was also observed in the patient-derived breast tumor xenograft models. Moreover, we also found rapamycin significantly decreased phosphorylated p70S6K1 and phosphorylated 4EBP1 in both samples. It seemed that the different sensitivity of tumor cells to rapamycin did not owe to its different potency against mTOR activity. We further propose p27KIP1 expression level may be also a candidate predictive biomarker of rapalogs for breast cancer therapy, which requires additional clinical validation.