OBJECTIVE: To investigate the regulatory effects of two traditional mineral medicines (TMMs), Gypsum Fibrosum (Shigao, GF) and Terra Flava Usta (Zaoxintu, TFU), on gut-beneficial bacteria in mice, and preliminarily explore their mechanisms of action. METHODS: Mice were randomly divided into 3 groups (n=10 per group): the control group (standard diet), the GF group (diet supplemented with 2% GF), and the TFU group (diet supplemented with 2% TFU). After 4-week intervention, 16S rRNA gene sequencing was used to analyze the changes in the gut microbiota (GM). Scanning electron microscopy, in combination with coumarin A tetramethyl rhodamine conjugate and Hoechst stainings, was used to observe the bacteria and biofilm formation. RESULTS: Principal coordinate analysis revealed that GF and TFU significantly altered the GM composition in mice. Further analysis revealed that GF and TFU affected different types of gut bacteria, suggesting that different TMMs may selectively modulate specific bacterial populations. For certain bacteria, such as Faecalibaculum and Ileibacterium, both GF and TFU exhibited growth-promoting effects, implying that they may be sensitive to TMMs and that different TMMs can increase their abundance through their respective mechanisms. Notably, Lactobacillus reuteri, a widely recognized and used probiotic, was significantly enriched in the GF group. Random forest analysis identified Ileibacterium valens as a potential indicator bacterium for TMMs' impact on GM. Further mechanistic studies showed that gut bacteria formed biofilm structures on the TFU surface. CONCLUSIONS This study provides new insights into the interaction between TMMs and GM. As safe and effective natural clays, GF and TFU hold promise as potential candidates for prebiotic development.
Animals ; Gastrointestinal Microbiome/drug effects* ; Bacteria/growth & development* ; Mice ; Biofilms/drug effects* ; Male ; RNA, Ribosomal, 16S/genetics*

AIM:To investigate the effect of conditioned medium from hypoxia/reoxygenation(H/R)-treated rat cardiac fibroblasts(CFs)on gap junction between cardiomyocytes and determine whether its mechanism is related to matrix metalloproteinase 2(MMP2)activity.METHODS:(1)H9c2 cells were randomly divided into five groups:con-trol group,normal group,ARP-100 group,H/R group,and H/R+ARP-100 group.Scrape loading/dye transfer assay was used to assess the gap junction function.Western blot was used to detect the expression and phosphorylation levels of Cx43.Gelatin zymography assay was performed to measure MMP2 activity.(2)SD rats were randomly divided into control group,ARP-100 group,ischemia-reperfusion(I/R)group,and I/R+ARP-100 group,with 8 rats in each group.Micro-electrode array technology was used to record the type and duration of arrhythmia.Immunohistochemistry experiment was performed to assess expression levels and distribution of Cx43 in myocardial tissues.RESULTS:Compared with the con-trol group,the H/R group showed decreased protein expression of Cx43(P＜0.01),narrowed distance of lucifer yellow dif-fusion(P＜0.01),and increased MMP2 activity(P＜0.01).ARP-100 attenuated H/R-induced gap junction dysfunction(P＜0.05).The arrhythmia score was also reduced after perfusion with ARP-100(P＜0.01).CONCLUSION:H/R-treated rat CFs can inhibit gap junction between cardiomyocytes,and its mechanism may involve increased MMP2 activity.

OBJECTIVE To investigate the effects and mechanism of Yiqi huoxue decoction （YQHX） on lumbar disc herniation in rats. METHODS Rats were randomly divided into sham operation group， model group， NF-κB inhibitor group （QNZ group， 1 mg/kg）， YQHX group （9.1 g/kg） and combination group （YQHX+QNZ group， the same dose as each single drug group）， with 10 rats in each group. Except for sham operation group， lumbar disc herniation model of rats was induced in other groups； administration groups were given QNZ intraperitoneally or/and YQHX intragastrically， once a day， for 8 consecutive weeks. The severity of intervertebral disc herniation was evaluated in each group； the pathological changes of intervertebral discs and the changes of autophagy of nucleus pulposus cells were all observed； the level of tumor necrosis factor-α （TNF-α） in serum， and the ratios of Bcl-2/adenovirus E1B interacting protein 3 （BNIP3） and Beclin-1 positive cells in intervertebral disctissues were detected； the phosphorylation of nuclear factor-κB （NF-κB） p65， the expressions of tumor necrosis factor receptor- associated factor-2 （TRAF-2）， TRAF-3， BNIP3 and LC3B protein， and mRNA expressions of NF-κB p65， LC3B， p62，BNIP3 and Beclin-1 were determined. RESULTS Compared with model group， Pfirrmann grading score decreased significantly，the pathological injury of intervertebral disc tissue was relieved in YQHX group； the number of autophagosomes in nucleus pulposus cells increased； serum level of TNF-α and mRNA expression of p62 in intervertebral disc tissue decreased significantly； the ratios of BNIP3 and Beclin-1 positive cells， the phosphorylation of NF-κB p65， the expressions of TRAF-2， TRAF-3， BNIP3 and LC3B protein as well as the mRNA expressions of NF- κB p65， LC3B， BNIP3 and Beclin-1 decreased significantly in intervertebral disc tissues （P＜0.05）. The changes of above indexes in YQHX group were reversed partly in YQHX+QNZ group. CONCLUSIONS YQHX promotes the elevation of autophagy level of intervertebral discs， slows down the inflammatory response and the progression of lumbar disc herniation by activating the NF-κB signaling pathway.

Currently, there are practical and technical difficulties in the construction of clinical questions in the development of clinical practice guidelines. Clinicians or guideline developers seldom construct clinical questions based the actual case scenario, leading to some information loss between structured and actual clinical connotation. To overcome this challenge, we proposed a case-guided questions construction approach, and carried out case research and verification in the formulation of the guideline. We found that this method could more efficiently and scientifically assist the formulation of clinical questions, and provide reference for clinicians or guideline developers.

Objective:To explore influencing factors of the self-reported brief life quality satisfaction score(Brief-QoL) in patients with acromegaly and understand the persistent low Brief-QoL scores in cases achieving biochemical remission.Methods:This study included 836 acromegaly patients who were hospitalized at Peking Union Medical College Hospital between January 2012 and December 2020. We retrospectively examined how clinical characteristics, biochemical parameters, comorbidities, and symptoms influenced Brief-QoL. Among patients who achieved biochemical remission, differences in clinical symptoms and comorbidities were analyzed between the high and low quality of life groups.Results:Patients with well-controlled biochemical indicators at the last follow-up had generally high Brief-QoL. However, patients with symptoms such as headaches (47.8% in the low-score group vs 14.9% in the high-score group, P<0.001) and joint pain (69.6% in the low-score group vs 19.0% in the high-score group, P<0.001) had low Brief-QoL despite biochemical remission. Receiving combined treatment(52.4% in the low-score group vs 27.5% in the high-score group, P=0.030) and having comorbid diabetes or hyperlipidemia were significant factors leading to decreased quality of life. Conclusion:Brief-QoL is suitable for follow-up of outpatient patients. Early identification of factors affecting quality of life and timely intervention can facilitate the realization of standardized management.

Purpose::Vibrio vulnificus ( V. Vulnificus) infection is characterized by rapid onset, aggressive progression, and challenging treatment. Bacterial resistance poses a significant challenge for clinical anti-infection treatment and is thus the subject of research. Enhancing host infection tolerance represents a novel infection prevention strategy to improve patient survival. Our team initially identified cytochrome P4501A1 (CYP1A1) as an important target owing to its negative modulation of the body's infection tolerance. This study explored the superior effects of the CYP1A1 inhibitor bergamottin compared to antibiotic combination therapy on the survival of mice infected with multidrug-resistant V. Vulnificus and the protection of their vital organs. Methods::An increasing concentration gradient method was used to induce multidrug-resistant V. Vulnificus development. We established a lethal infection model in C57BL/6J male mice and evaluated the effect of bergamottin on mouse survival. A mild infection model was established in C57BL/6J male mice, and the serum levels of creatinine, urea nitrogen, aspartate aminotransferase, and alanine aminotransferase were determined using enzyme-linked immunosorbent assay to evaluate the effect of bergamottin on liver and kidney function. The morphological changes induced in the presence of bergamottin in mouse organs were evaluated by hematoxylin and eosin staining of liver and kidney tissues. The bacterial growth curve and organ load determination were used to evaluate whether bergamottin has a direct antibacterial effect on multidrug-resistant V. Vulnificus. Quantification of inflammatory factors in serum by enzyme-linked immunosorbent assay and the expression levels of inflammatory factors in liver and kidney tissues by real-time quantitative polymerase chain reaction were performed to evaluate the effect of bergamottin on inflammatory factor levels. Western blot analysis of IκBα, phosphorylated IκBα, p65, and phosphorylated p65 protein expression in liver and kidney tissues and in human hepatocellular carcinomas-2 and human kidney-2 cell lines was used to evaluate the effect of bergamottin on the nuclear factor kappa-B signaling pathway. One-way ANOVA and Kaplan-Meier analysis were used for statistical analysis. Results::In mice infected with multidrug-resistant V. Vulnificus, bergamottin prolonged survival ( p = 0.014), reduced the serum creatinine ( p = 0.002), urea nitrogen ( p = 0.030), aspartate aminotransferase ( p = 0.029), and alanine aminotransferase ( p = 0.003) levels, and protected the cellular morphology of liver and kidney tissues. Bergamottin inhibited interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF)-α expression in serum (IL-1β: p = 0.010, IL-6: p = 0.029, TNF-α: p = 0.025) and inhibited the protein expression of the inflammatory factors IL-1β, IL-6, TNF-α in liver (IL-1β: p = 0.010, IL-6: p = 0.011, TNF-α: p = 0.037) and kidney (IL-1β: p = 0.016, IL-6: p = 0.011, TNF-α: p = 0.008) tissues. Bergamottin did not affect the proliferation of multidrug-resistant V. Vulnificus or the bacterial load in the mouse peritoneal lavage fluid ( p = 0.225), liver ( p = 0.186), or kidney ( p = 0.637). Conclusion::Bergamottin enhances the tolerance of mice to multidrug-resistant V. Vulnificus infection. This study can serve as a reference and guide the development of novel clinical treatment strategies for V. Vulnificus.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

The lingnan liver-soothing and spirit-regulating acupuncture and moxibustion technique,developed by Professor FU Wen-Bin,a renowned traditional Chinese medicine expert in Guangdong Province,represents an innovative achievement in acupuncture therapy for depression-related disorders.Drawing upon the rich legacy of master scholars,meticulous study of medical literature,and over three decades of continuous research and innovation,Professor FU has formulated this technique with profound influence and widespread application.By tracing the developmental trajectory of the Lingnan liver-soothing and spirit-regulating technique,this paper sheds light on its significant guiding principles and reference value for the development of other distinctive acupuncture techniques.Furthermore,it offers insights and inspiration for advancement in various fields of traditional Chinese medicine.

Gongju(Chrysanthemum morifolium) is one of the five major medicinal Chrysanthemum varieties included in the Chinese Pharmacopoeia. In recent years, its cultivation areas have changed significantly, resulting in mixed quality of the medicinal herbs. In this study, Gongju cultivated in Anhui, Yunnan, Chongqing, and other places were selected as research objects. Hyperspectral data were collected in the visible-near-infrared(VNIR) and short-wave infrared(SWIR) bands using different modes, such as corolla facing up(A) and flower base facing up(B). After pre-processing the hyperspectral data using five methods, including multiplicative scatter correction(MSC), Savitzky-Golay smoothing(SG), first derivative(D1), second derivative(D2), and standard normal variate(SNV), partial least squares discriminant analysis(PLSDA), random forest(RF), and support vector machine(SVM) were used to establish origin identification models of Gongju at the two geographical scales of the province and the city-county in Anhui province. The accuracy of the prediction results was used as an evaluation index to select the optimal models, and the classification performance of the models was evaluated by confusion matrix. The results showed that the flower base facing up(B) collection model combined with second derivative pretreatment and RF method was the best model for both geographical scale identification models. The modeling effect of the full-band(VNIR + SWIR) was slightly better than that of the single band, with the accuracy of the prediction set in the province and city-county regions reaching 99.69% and 99.40%, respectively. The competitive adaptive reweighted sampling algorithm(CARS), successive projections algorithm(SPA), and variable iterative space shrinkage approach(VISSA) were further used to screen the feature wavelength modeling. The number of feature wavelengths screened by CARS was fewer, and the prediction set accuracy of the two geographical scales models after optimization could reach 99.56% and 98.65%, which was basically comparable to the full-band model. However, the removal of redundant variables could greatly reduce the complexity of the model. The hyperspectral technology combined with the chemometrics model established in this study can achieve the origin identification of Gongju at different geographical scales, providing a theoretical basis and technical reference for the construction of a rapid detection system for Gongju origin and the development of exclusive miniaturized instrumentation and equipment systems.
Chrysanthemum/growth & development* ; China ; Support Vector Machine ; Geography ; Discriminant Analysis ; Spectroscopy, Near-Infrared/methods* ; Spectrum Analysis/methods* ; Drugs, Chinese Herbal/analysis* ; Least-Squares Analysis