ObjectiveTo investigate the effects of Sanjie Quban prescription （SJQB）-containing serum on the proliferation， apoptosis， migration， and invasion of human keloid fibroblasts （KFs） and to elucidate its underlying mechanism， with a focus on the aryl hydrocarbon receptor （AhR）/cytochrome P450 family 1 subfamily A member 1 （CYP1A1） signaling pathway. MethodsPrimary human KFs were cultured in vitro and assigned to the following groups： control （KFs+blank serum）， asiaticoside （KFs+asiaticoside-containing serum）， SJQB （KFs+SJQB-containing serum）， AhR agonist （KFs+β-naphthoflavone）， AhR inhibitor （KFs+CH223191）， and AhR inhibitor+SJQB （KFs+CH223191+SJQB-containing serum）. The optimal intervention concentrations were determined through the cell counting kit-8 （CCK-8） assay. Cell proliferation， apoptosis， migration， and invasion were evaluated by the EdU assay， flow cytometry， wound healing assay， and Transwell assay， respectively. The expression of transforming growth factor-β₁ （TGF-β₁） and α-smooth muscle actin （α-SMA） was visualized by immunofluorescence. The mRNA and protein levels of AhR， CYP1A1， TGF-β₁， and α-SMA were measured by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. ResultsCompared with the control group， the SJQB， asiaticoside， and AhR agonist groups demonstrated inhibited cell proliferation， migration， and invasion， along with an increased apoptosis rate （P<0.01）. The AhR inhibitor group showed enhanced proliferation， migration， and invasion together with a reduced apoptosis rate in comparison with the AhR agonist group （P<0.01）. The AhR inhibitor+SJQB group exhibited increased proliferation， migration， and invasion as well as decreased apoptosis compared with the SJQB group （P<0.05， P<0.01）. At the molecular level， compared with the control group， the SJQB， asiaticoside， and AhR agonist groups presented upregulated protein and mRNA levels of AhR and CYP1A1 （P<0.05， P<0.01）， while the SJQB and AhR agonist groups showed downregulated TGF-β₁ and α-SMA expression at both protein and mRNA levels （P<0.05， P<0.01）， and the asiaticoside group displayed decreased protein level of TGF-β₁ and mRNA level of α-SMA （P<0.05， P<0.01）. Compared with both the AhR agonist and control groups， the AhR inhibitor group exhibited decreased AhR and CYP1A1 expression but increased TGF-β₁ and α-SMA expression at protein and mRNA levels （P<0.01）. In comparison with the SJQB group， the AhR inhibitor+SJQB group demonstrated reduced AhR and CYP1A1 expression （P<0.01） and elevated TGF-β₁ and α-SMA expression （P<0.05， P<0.01） at both protein and mRNA levels. ConclusionSJQB may activate the AhR/CYP1A1 signaling pathway to downregulate TGF-β₁ and α-SMA expression， thereby suppressing the proliferation， migration， and invasion and inducing the apoptosis of KFs.

Objective:To develop CNN-Dinov2, a deep learning-based automatic classification model for Gram-stained images, enabling rapid diagnosis of three prevalent Gram-negative bacilli in bloodstream infections: Escherichia coli ( E.coli), Klebsiella pneumoniae ( K.pneumoniae), and Pseudomonas aeruginosa ( P.aeruginosa). Methods:This evaluation study analyzed 1 425 Gram-stained microscopic images from patients with bloodstream infections at Houjie Hospital, in Dongguan City, collected between January 2023 and January 2024. The images, all positive for blood culture and identified as target strains, were categorized into Escherichia coli (419 images), Klebsiella pneumoniae (411 images), Pseudomonas aeruginosa (413 images), and other Gram-negative bacilli (182 images). They were randomly split into a training set (1 141 images), a validation set (141 images), and a test set (143 images) in an 8∶1∶1 ratio. A hybrid CNN-Dinov2 model was developed by integrating ResNet′s local feature extraction with Dinov2′s global pre-trained features, followed by a fully connected layer. The model was optimized by inputting the preprocessed images and adjusting parameters through loss calculation and backpropagation. AlexNet, Dinov2, and ResNet18 served as control models. The models′ classification performance was assessed using accuracy, precision, weighted F1 score, and recall rate, derived from the confusion matrix. The PR curve and AP value further evaluated each model′s classification capability across the four image categories. Results:The CNN-Dinov2 model achieved a training accuracy of 99.74%, a validation accuracy of 98.12%, and a validation loss of 0.070 6, demonstrating robust generalization without overfitting. Validation metrics revealed superior performance with an accuracy of 98.60%, precision of 98.65%, a weighted F1 score of 98.60%, and a recall rate of 98.60%, outperforming other models. The confusion matrix confirmed its strong classification capability, with the highest sum of diagonal values for identifying four types of bacteria. The macro average precision (AP) values under the precision-recall (PR) curves were all 1, indicating excellent discrimination across all categories. Overall, the CNN-Dinov2 model exhibited the best performance among the four models evaluated.Conclusion:This study successfully developed CNN-Dinov2, an automated classification model for Gram staining images. It offers valuable support for the rapid diagnosis of bloodstream infections caused by Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa, demonstrating practical utility.

In recent years, research on the quality and safety detection of bear bile powder has mainly involved three aspects. First, the identification of active components and substitutes. Quantitative analysis of bile acids and other components is performed using HPLC, HPLC-tandem mass spectrometry, and other techniques, combined with near-infrared spectroscopy, X-ray diffraction, and polymerase chain reaction to identify adulteration. Isotope fingerprint analysis and glycosylation modification detection are used to distinguish natural products from biosynthetic substitutes, revealing significant differences in δ13C values and the proportion of specific glycosylation modifications between natural bear bile powder and synthetic products. Second, the detection of veterinary drug residues, mainly based on ultra-high performance liquid chromatography-tandem mass spectrometry, which can screen over 100 types of residues, but targeted purification strategies are needed to address interference from the bile acid matrix. Thirdly, heavy metal detection, mainly using inductively coupled plasma mass spectrometry and atomic absorption spectrometry, has revealed that contamination is associated with the breeding environment, with significant regional differences. Related detection technologies are gradually evolving from single-target analysis to multi-modal and intelligent approaches. Existing research faces issues, such as matrix effect interference, lack of international standards, and ethical controversies. It is suggested that future efforts should focus on the interdisciplinary application of detection technologies, develop rapid detection methods such as non-invasive monitoring and microfluidic chips, promote the standardization and equivalence evaluation of synthetic alternatives, and establish a full-chain quality control system integrating spatially resolved mass spectrometry imaging, artificial intelligence, and big data.

To investigate the association between obesity-related metabolic indices and the risk of knee osteoarthritis(KOA) in middle-aged and older Chinese adults(≥45 years) using data from the China Health and Retirement Longitudinal Study(CHARLS).

Human stem cell preparations and related products have been widely utilized in clinical trials and treatments for refractory diseases both domestically and internationally.Due to the complexity of the prepa-ration process for stem cell preparations,current microbial detection methods struggle to meet the safety testing requirements,particularly for release testing within medical institutions.Therefore,it is imperative to develop novel alternative methods to ensure the safe and timely clinical application of stem cell preparations.This article elaborates on the microbial testing procedures and relevant regulatory standards involved in stem cell preparations,covering aspects such as raw material selection,preparation processes,release testing,therapeutic application,and sample retention testing.The aim is to provide a foundation for microbial quality control in the clinical use of stem cell preparations.

Objective To analyze the effect of serum lactate dehydrogenase(LDH)and β2-microglobulin(β2-MG)on therapeutic efficacy of the first-line chemotherapy regimen for Waldenstr?m Macroglobulinemia(WM).Methods Data were collected from 113 WM patients admitted from March 2019 to February 2024.All patients completed the established first-line chemotherapy regimen and were divided into the response group(n=85)and the non-response group(n=28).The general data between the two groups were compared,with a focus on analyzing the risk factors for non-response to first-line chemotherapy in WM patients and evaluating the predictive value of serum LDH and β2-MG for the efficacy of first-line chemotherapy.Result The non-responsive group had a higher risk of prognosis based on International Prognostic Scoring System(IPSS),a higher rate of MYD88 L265P mutation,higher TP53 deletion/mutation ratio,and higher proportion of bone marrow lymphoplasmacytic cells,as well as higher serum LDH and β2-MG expression than the response group(P＜0.01).Multivariate logistic regression analysis revealed that risk factors for non-response to first-line chemotherapy in WM patients included a high-risk prognosis based on IPSS,an increased proportion of bone marrow lymphoplasmacytic cells,and higher rate of MYD88 L265P mutation and TP53 deletion/mutation,as well as elevated serum LDH and β2-MG levels(P＜0.05).The area under the curve of serum LDH and β2-MG for predicting the risk of non-response to first-line chemotherapy in WM patients was 0.796 and 0.783 respectively.Through interaction analysis,serum LDH and β2-MG had a positive interaction effect on non-response to chemotherapy in WM patients.Conclusion The non-response to first-line chemotherapy in WM patients is related to abnormal increase in serum LDH and β2-MG.Pre-chemotherapy detection of LDH and β2-MG level has certain predictive value for the risk of non-response to chemotherapy,and the simultaneous increase of both may lead to a higher risk of non-response to chemotherapy.

Objective::To examine the impact of hypertensive disorders of pregnancy (HDP) on offspring metabolomics.Methods::We searched five databases: PubMed, Ovid Embase, MEDLINE, Web of Science, and China National Knowledge Infrastructure, and included studies that reported metabolomics among human offspring born to HDP-complicated pregnancies.Results::Database search yielded 4054 articles, and after full-text screening, ten observational studies met inclusion criteria. Half of the studies had a sample size of less than 100 and were all observational studies in preeclampsia (PE) and gestational hypertension.Neonates were the most focused group in all included studies. Offspring born to HDP-complicated pregnancies exhibited statistically significant variations in blood metabolomics compared to their counterparts, characterized by amino acids, lipids, carnitine, and others (e.g., 1α,25-(OH) 2-D). Most studies reported a significant increase in differential metabolites of offspring born to HDP-complicated pregnancies. Four studies ( n = 1109) measured lipids-related metabolites, and all consistently showed that offspring born to PE-complicated pregnancies had significantly higher concentrations than non-PE exposed offspring. Conclusion::The existing evidence suggests an intergenerational effect of HDP on offspring metabolomics. Long-term follow-up studies are needed to advance the health effects of related adverse health outcomes and inform the prevention of offspring’s health.

Objective To investigate the quality and in vitro release behavior of the sirolimus self-microemulsion-mesoporous silicon sustained release tablets and provide a basis for further research and development of related preparations. Methods The hardness, brittleness and content uniformity of the sustained-release tablets were tested refer to Pharmacopoeia of the People’s Republic of China 2020. Different diameters （10, 11, 12 mm）, different hardness （50, 70, 90 N）, different speed （50, 75, 100 r/min）, different dissolution methods （pulp method, basket method） were investigated. The release conditions of the sustained-release tablets with different pH solution （distilled water solution and 0.4% SDS solution with pH of 1.2, 4.5 and 6.8, respectively） and the in vitro release conditions of the sustained-release tablets were observed. Results The hardness, brittleness and content uniformity of the self-made sustained-release tablets were qualified; different diameters and dissolution methods had no effect on the drug release behavior of the sustained-release tablets in vitro, while the different hardness, different rotational speed and the different pH release media had certain effects. Conclusion The sirolimus self-microemulsion-mesoporous silicon sustained release tablets had good sustained-release effect in vitro and was deserved to further study.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Five novel nor-eremophilane-type sesquiterpenoids, peniroqueforins E-H and J (1-4 and 7), two new eremophilane-type sesquiterpenoids, peniroqueforins I and K (5 and 8), and a new eudesmane-type sesquiterpenoid, peniroqueforin L (9), along with four known compounds (6 and 10-12), were isolated and characterized from fungus Penicillium roqueforti (P. roqueforti). The structures and absolute configurations of these compounds were determined through comprehensive spectroscopic analyses, electronic circular dichroism (ECD) data analyses, and single-crystal X-ray diffraction methods. The anti-multi-drug resistance (MDR) cancer activity of these compounds was evaluated using SW620/Ad300 cells. Notably, the half maximal inhibitory concentration (IC₅₀) value of paclitaxel (PTX) combined with 1 in SW620/Ad300 cells was 50.36 nmol·L^-1, which was 65-fold more potent than PTX alone (IC₅₀ 3.26 μmol·L^-1). Subsequent molecular docking studies revealed an affinity between compound 1 and P-glycoprotein (P-gp), suggesting that this nor-eremophilane-type sesquiterpenoid (1) could serve as a potential lead for MDR reversal in cancer cells through P-gp inhibition.
Penicillium/chemistry* ; Humans ; Sesquiterpenes/isolation & purification* ; Cell Line, Tumor ; Molecular Structure ; Drug Resistance, Neoplasm/drug effects* ; Antineoplastic Agents/pharmacology* ; Drug Resistance, Multiple/drug effects* ; Molecular Docking Simulation