Background: Constitution is a valuable part of traditional Chinese medicine theory; it is defined as the internal foundation for the occurrence, development, transformation and outcome of diseases, and has its characteristic gut microbiota. Previous study showed that deficiency constitution was related to lower Hb counts. However, no research has examined how alterations in the gut microbiome induced by deficiency constitution may increase the tendency for anemia.Methods: We used a multiomics strategy to identify and quantify taxonomies and compounds found under deficient constitution individuals and further explore the possible pathological factors that affect red blood cell indices.Results: ① People with deficient constitution showed lower hemoglobin (Hb), more Firmicutes, less Bacteroidetes, and higher α diversity. ② We identified Escherichia coli, Clostridium bolteae, Ruminococcus gnavus, Streptococcus parasanguinis and Flavonifractor plautii as potential biomarkers of deficient constitution. ③ Slackia piriformis, Clostridium_sp_L2_50 and Bacteroides plebeius were enriched in balanced-constitution individuals, and Parabacteroides goldsteinii was the key bacterial marker of balanced constitution. ④ Flavonifractor plautii may be a protective factor against the tendency for anemia among deficient individuals. ⑤ Ruminococcus gnavus may be the shared microbe base of deficiency constitution-related the tendency for anemia. ⑥ The microorganism abundance of the anaerobic phenotype was lower in deficient constitution group. ⑦ Alterations in the microbiome of deficient-constitution individuals were associated with worse health status and a greater risk of anemia, involving intestinal barrier function, metabolism and immune responses, regulated by short-chain fatty acids and bile acid production.Conclusion: The composition of the gut microbiome was altered in people with deficient constitution, which may explain their poor health status and tendency toward anemia.

Introduction: Modern medical treatment of insomnia is often associated with issues like addiction, drug resistance, and a high risk of relapse post drug withdrawal. To tackle these challenges, the Chinese medicine formula Shuhe granule (SHG) has been employed in insomnia treatment at Guangdong Provincial Hospital of Chinese Medicine. Despite this, there is currently a lack of reliable evidence from evidence-based trials to support the widespread use of SHG in insomnia treatment. Therefore, we have developed a randomized controlled trial to assess the efficacy and safety of SHG in insomnia treatment.Method: This study will be a single-center, double-blind, randomized, parallel group, placebo-controlled clinical trial involving a total of 160 eligible patients aged between 18 and 65. Participants will be randomly assigned to either the intervention group, receiving SHG, or the placebo group receiving placebo granules. Follow-up visits will occur every 2 weeks from baseline to 2 months. The primary outcome is the perceived insomnia severity measured by the Insomnia Severity Index. The secondary outcome measures include the Pittsburgh Sleep Quality Index, Fatigue Severity Scale, Patient Health Questionnaire, Generalized Anxiety Disorder, Visual Fatigue Analogue Scale, Traditional Chinese medicine syndrome score, and Polysomnography.Discussion: The results of the study are expected to provide evidence of high methodological and reporting quality on the efficacy and safety of SHG for insomnia.Trial Registration Numbers: http://itmctr.ccebtcm.org.cn/, ITMCTR2024000035.

Objectives: The intestinal microbiota is essential in absorbing nutrients and defending against pathogens and is associated with various diseases, including obesity, type 2 diabetes, and hypertension. As an alternative medicine, Traditional Chinese Medicine (TCM) has long been used in disease treatment and healthcare, partly because it may mediate gut microbiota. However, the specific effects of TCM on the abundance and interactions of microbiota remain unknown. Moreover, using TCM ingredients and data detailing changes in the abundance of gut microorganisms, we developed bioinformatic methods that decipher the impact of TCM on microorganism interactions.Methods: The dynamics of gut microorganisms affected by TCM treatments is explored using a mouse model, which provided the abundance of 70 microorganisms over time. The Granger causality analysis was used to measure microorganism interactions. Novel “serial connection” and “diverging connection” models were used to identify molecular mechanisms underlying the impact of TCM on gut microorganism interactions, based on microorganism proteins, TCM chemical ingredients, and KEGG reaction equations.Results: Codonopsis pilosula (Dangshen), Cassia twig (Gui Zhi), Radices saussureae (Mu Xiang), and Sijunzi Decoction did not cause an increase in the abundance of harmful microorganisms. Most TCMs decreased the abundance of Bifidobacterium pseudolongum, suggesting a Bifidobacterium pseudolongum supplement should be used during TCM treatment. The Granger causality analysis indicated that TCM treatment changes more than half the interactions between the 70 microorganisms, and “serial connection” and “diverging connection” models suggested that changes in interactions may be related to the reaction number connecting species proteins and TCM ingredients. From a species diversity perspective, a TCM decoction is better than a single herb for healthcare. The Sijunzi Decoction only significantly increased the abundance of Bifidobacterium pseudolongum and did not cause a decrease in the abundance of other species but was found to improve the alpha diversity with the lowest replacement rate.Conclusions: Because most of the nine TCMs are medicinal and edible plants, we expect the methods and results presented can be used to optimize and integrate microbiota and TCMs into healthcare processes. Moreover, as a control study, these results can be combined with future disease mouse models to link variations in species abundance with particular diseases.

Optically pumped magnetometer magnetoencephalography (OPM-MEG) holds significant promise for clinical functional brain imaging due to its superior spatiotemporal resolution. However, effectively suppressing metallic artifacts, particularly from devices such as orthodontic braces and vagal nerve stimulators remains a major challenge, hindering the wider clinical application of wearable OPM-MEG devices. A comprehensive analysis of metal artifact characteristics from time, frequency, and time-frequency perspectives was conducted for the first time using an OPM-MEG device in clinical medicine. This study focused on patients with metal orthodontics, examining the modulation of metal artifacts by breath and head movement, the incomplete regular sub-Gaussian distribution, and the high absolute power ratio in the 0.5-8 Hz band. The existing metal artifact suppression algorithms applied to SQUID-MEG, such as fast independent component analysis (FastICA), information maximization (Infomax), and algorithms for multiple unknown signal extraction (AMUSE), exhibit limited efficacy. Consequently, this study introduced the second-order blind identification (SOBI) algorithm, which utilized multiple time delays for the component separation of OPM-MEG measurement signals. We modified the time delays of the SOBI method to improve its efficacy in separating artifact components, particularly those in the ultralow frequency range. This approach employs the frequency-domain absolute power ratio, root mean square (RMS) value, and mutual information methods to automate the artifact component screening process. The effectiveness of this method was validated through simulation experiments involving four subjects in both resting and evoked experiments. In addition, the proposed method was also validated by the actual OPM-MEG evoked experiments of three subjects. Comparative analyses were conducted against the FastICA, Infomax, and AMUSE algorithms. Evaluation metrics included normalized mean square error, normalized delta band power error, RMS error, and signal-to-noise ratio, demonstrating that the proposed method provides optimal suppression of metal artifacts. This advancement holds promise for enhancing data quality and expanding the clinical applications of OPM-MEG.

Introduction: Dyslipidemia is a critical risk factor for atherosclerosis and cardiovascular/cerebrovascular events, necessitating effective long-term management. However, conventional lipid-lowering drugs such as statins and fibrates are limited by adverse effects, including hepatotoxicity and myopathy, which restrict their prolonged use. Traditional Chinese medicine (TCM) and natural health products offer potential alternatives with multi-target mechanisms and improved safety profiles. Tangerine Peel Enzyme Drink (CPJS), a fermented health product derived from tangerine peel, has demonstrated lipid-modulating properties. This study aimed to evaluate the efficacy and safety of CPJS in improving dyslipidemia and explore its underlying metabolic and microbiological mechanisms.Methods: A randomized, double-blind, parallel-controlled clinical trial was conducted with 72 participants (55 completers). Participants were divided into CPJS and control groups, receiving an 8-week intervention. Primary outcomes included changes in body weight and serum triglycerides (TG), while safety was assessed via liver/kidney function, creatine kinase, blood, and urine tests. Serum metabolomics (93 differential metabolites identified) and intestinal microbiota analysis were performed to elucidate metabolic pathways and microbial shifts. KEGG enrichment analysis mapped metabolites to biological pathways, such as lipid and amino acid metabolism.Results: The CPJS group exhibited significant reductions in body weight and TG levels post-intervention (p < 0.05), with no adverse effects observed in safety biomarkers. Metabolomic profiling revealed alterations in fatty acyl, glycerophospholipid, and organic acid metabolites, indicating CPJS modulates lipid metabolism and energy homeostasis. KEGG analysis linked these changes to pathways including triglyceride degradation and amino acid metabolism. Additionally, CPJS increased specific gut microbial taxa associated with lipid regulation, suggesting a microbiome-mediated mechanism.Discussion: CPJS demonstrates efficacy in improving dyslipidemia through dual mechanisms: direct modulation of triglyceride metabolism and indirect regulation via gut microbiota. Its safety profile aligns with findings from natural products like Cyclocarya paliurus and tempeh, which mitigate lipid abnormalities without hepatotoxicity. The multi-target action of CPJS mirrors TCM principles, where compounds like quercetin and flavonoids in CPJS may synergistically inhibit cholesterol synthesis and enhance lipid clearance. However, further research is needed to isolate active components and validate microbial contributions. Compared to synthetic drugs, CPJS offers a safer adjunct therapy, addressing limitations of current pharmacotherapies. Future studies should explore dose-response relationships and long-term outcomes in diverse populations.

Background: Static nailfold capillary parameters are important parameters that reflect the health of the human body. Disease onset or progression is often accompanied by changes in the physiological parameters of the nailfold. Hence, the physiological parameters of the nailfold are closely related to the study of disease, with their automated and high-precision measurements playing a crucial role in these studies. Currently, manually measured values of the nailfold’s parameters are the gold standard; however, they are time consuming and labor intensive, making the development of automated measurement methods essential. Most automated measurement methods use skeleton lines; however, current skeleton-thinning algorithms have non-single pixels and redundant branches that lead to reduced measurement accuracy. This study proposes a single-pixel and non-redundant branching-based skeleton line extraction algorithm for nailfold capillaries, which is then applied to nailfold static parameter calculations to improve accuracy. Methods: The algorithm includes deletion and restoration templates combined with the depth-first search method to obtain single-pixel skeleton lines without redundant branches. These lines are applied to the static nailfold capillary parameter measurement method based on digital image processing to calculate the blood vessel diameter. Results: The results show that the proposed method can obtain the single-pixel skeleton line without the redundant branches that are required for the parameter calculations and improve the accuracy of the nailfold capillary diameter measurement. Experiments showed that the root mean square errors (RMSEs) of the labeled apical diameter, arterial limb diameter, and venous limb diameter were 0.794, 0.756, and 0.830 µm, respectively, when the calculated results were compared with those of the manual calculations. According to the accuracy formula, the accuracy of the method in this study is 90%. We calculated the P values of the algorithmic and manual measurements to P<0.001 and found that the difference in the measurements of the proposed algorithm is statistically significant. Therefore, the method in this study has high sensitivity and specificity for the measurement of normal nailfold capillaries. Conclusions: The proposed algorithm could obtain single-pixel skeleton lines without redundant branches, thereby improving the nailfold static parameter measurement accuracy.