This study aims to explore the synergistic effects of the main components in salvianolic acids for Injection(SAFI) on key pathological events in cerebral ischemia, elucidating the pharmacological characteristics of SAFI in neuroprotection. Two major pathological gene modules related to endothelial injury and neuroinflammation in cerebral ischemia were mined from single-cell data. According to the topological distance calculated in network medicine, potential synergistic component combinations of SAFI were screened out. The results showed that the combination of caffeic acid and salvianolic acid B scored the highest in addressing both endothelial injury and neuroinflammation, demonstrating potential synergistic effects. The cell experiments confirmed that the combination of these two components at a ratio of 1∶1 significantly protected brain microvascular endothelial cells(bEnd.3) from oxygen-glucose deprivation/reoxygenation(OGD/R)-induced reperfusion injury and effectively suppressed lipopolysaccharide(LPS)-induced neuroinflammatory responses in microglial cells(BV-2). This study provides a new method for uncovering synergistic effects among active components in traditional Chinese medicine(TCM) and offers novel insights into the multi-component, multi-target acting mechanisms of TCM.
Brain Ischemia/metabolism* ; Neuroprotective Agents/pharmacology* ; Animals ; Drugs, Chinese Herbal/administration & dosage* ; Benzofurans/pharmacology* ; Mice ; Drug Synergism ; Caffeic Acids/pharmacology* ; Polyphenols/pharmacology* ; Humans ; Alkenes/pharmacology* ; Endothelial Cells/drug effects* ; Depsides

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

Traditional Chinese medicine(TCM) is the pillar for the development of motherland medicine, and animal medicine has a long history of application in China, characterized by wide resources, strong activity, definite efficacy, and great benefits. It has significant potential and important status in the consumption market of raw materials of TCM. In the context of global climate change, farming system alterations, and low renewability, the depletion of wild medicinal animal resources has accelerated. Accordingly, the conservation and sustainable utilization of wild resources of animal medicinal materials has become a problem that garners increasing attention and urgently needs to be solved. This paper summarizes the current situation of domestic and foreign medicinal animal breeding and research progress in industrial application in recent years and points out the issues related to standardized breeding, germplasm selection and breeding, and quality evaluation standards for medicinal animals. Furthermore, this paper discusses standardized breeding, quality standards, resource protection and utilization, and the search for alternative resources for rare and endangered medicinal animals. It proposes that researchers should systematically carry out in-depth basic research on animal medicine, improve the breeding scale and level of medicinal animals, employ modern technology to enhance the quality standards of medicinal materials, and strengthen the research and development of alternative resources. This approach aims to effectively address the relationship between protection and utilization and make a significant contribution to the sustainable development of medicinal animal resources and the animal-based Chinese medicinal material industry.
Animals ; Breeding ; China ; Medicine, Chinese Traditional ; Conservation of Natural Resources

BACKGROUND: Non-invasive computed tomography angiography (CTA)-based fractional flow reserve (CT-FFR) could become a gatekeeper to invasive coronary angiography. Deep learning (DL)-based CT-FFR has shown promise when compared to invasive FFR. To evaluate the performance of a DL-based CT-FFR technique, DeepVessel FFR (DVFFR). METHODS: This retrospective study was designed for iScheMia Assessment based on a Retrospective, single-center Trial of CT-FFR (SMART). Patients suspected of stable coronary artery disease (CAD) and undergoing both CTA and invasive FFR examinations were consecutively selected from the Beijing Anzhen Hospital between January 1, 2016 to December 30, 2018. FFR obtained during invasive coronary angiography was used as the reference standard. DVFFR was calculated blindly using a DL-based CT-FFR approach that utilized the complete tree structure of the coronary arteries. RESULTS: Three hundred and thirty nine patients (60.5 ±10.0 years and 209 men) and 414 vessels with direct invasive FFR were included in the analysis. At per-vessel level, sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of DVFFR were 94.7%, 88.6%, 90.8%, 82.7%, and 96.7%, respectively. The area under the receiver operating characteristics curve (AUC) was 0.95 for DVFFR and 0.56 for CTA-based assessment with a significant difference (P < 0.0001). At patient level, sensitivity, specificity, accuracy, PPV and NPV of DVFFR were 93.8%, 88.0%, 90.3%, 83.0%, and 95.8%, respectively. The computation for DVFFR was fast with the average time of 22.5 ± 1.9 s. CONCLUSIONS The results demonstrate that DVFFR was able to evaluate lesion hemodynamic significance accurately and effectively with improved diagnostic performance over CTA alone. Coronary artery disease (CAD) is a critical disease in which coronary artery luminal narrowing may result in myocardial ischemia. Early and effective assessment of myocardial ischemia is essential for optimal treatment planning so as to improve the quality of life and reduce medical costs.

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

OBJECTIVE: This study aimed to reexplore minimum iodine excretion and to build a dietary iodine recommendation for Chinese adults using the obligatory iodine loss hypothesis. METHODS: Data from 171 Chinese adults (19-21 years old) were collected and analyzed based on three balance studies in Shenzhen, Yinchuan, and Changzhi. The single exponential equation was accordingly used to simulate the trajectory of 24 h urinary iodine excretion as the low iodine experimental diets offered (iodine intake: 11-26 μg/day) and to further deduce the dietary reference intakes (DRIs) for iodine, including estimated average requirement (EAR) and recommended nutrient intake (RNI). RESULTS: The minimum iodine excretion was estimated as 57, 58, and 51 μg/day in three balance studies, respectively. Moreover, it was further suggested as 57, 58, and 51 μg/day for iodine EAR, and 80, 81, and 71 μg/day for iodine RNI or expressed as 1.42, 1.41, and 1.20 μg/(day·kg) of body weight. CONCLUSION The iodine DRIs for Chinese adults were established based on the obligatory iodine loss hypothesis, which provides scientific support for the amendment of nutrient requirements.
Humans ; Iodine/administration & dosage* ; Male ; Female ; China ; Young Adult ; Diet ; Adult ; Nutritional Requirements ; East Asian People

OBJECTIVE: Recombination events are common and serve as the primary driving force of diverse human adenovirus (HAdV), particularly in children with acute respiratory tract infections (ARIs). Therefore, continual monitoring of these events is essential for effective viral surveillance and control. METHODS: Respiratory specimens were collected from children with ARIs between January 2022 and December 2023. The penton base, hexon, and fiber genes were amplified from HAdV-positive specimens and sequenced to determine the virus type. In cases with inconsistent typing results, genes were cloned into the pGEM-T vector to detect recombination events. Metagenomic next-generation sequencing (mNGS) was performed to characterize the recombinant HAdV genomes. RESULTS: Among 6,771 specimens, 277 (4.09%, 277/6,771) were positvie for HAdV, of which 157 (56.68%, 157/277) were successfully typed, with HAdV-B3 being the dominant type (91.08%, 143/157), and 14 (5.05%, 14/277) exhibited inconsistent typing results, six of which belonged to species B. The penton base genes of these six specimens were classified as HAdV-B7, whereas their hexon and fiber genes were classified as HAdV-B3, resulting in a recombinant genotype designated P7H3F3, which closely resembled HAdV-B114. Additionally, a partial gene encoding L1 52/55 kD was identified, which originated from HAdV-B16. CONCLUSION A novel recombinant, P7H3F3, was identified, containing sequences derived from HAdV-B3 and HAdV-B7, which is similar to HAdV-B114, along with additional sequences from HAdV-B16.
Humans ; Adenoviruses, Human/isolation & purification* ; Respiratory Tract Infections/epidemiology* ; Child, Preschool ; Child ; Recombination, Genetic ; Male ; Beijing/epidemiology* ; Infant ; Female ; Phylogeny ; Adenovirus Infections, Human/epidemiology* ; Acute Disease ; Genome, Viral

Objective To compare the efficacy and safety between hypofractionated radiotherapy(HyRt)and conventional radiotherapy after breast-conserving surgery.Methods This study was a single-center,prospective,randomized controlled study.Eighty-three patients with pTis-T2N0M0 breast cancer admitted to Tangshan People's Hospital from May 2017 to May 2019 were included.The patients received breast-conserving surgery+sentinel lymph node biopsy(SLNB).After surgery,they were treated with intensity modulated radiation therapy(IMRT).According to random table method,patients were divided into HyRt group(n=41)and conventional radiotherapy group(n=42).The dose of organs at risk,treatment efficacy,treatment failure modes,and radiotherapy related adverse reactions were analyzed in the two groups.The radiotherapy-related adverse reactions were evaluated according to NCI CTC AE Version 3.0,including radiation dermatitis,radiation pneumonia,breast/skin fibrosis,pulmonary fibrosis,etc.Results Eighty-three patients with breast cancer were included,with a median age of 44(26-67)years.There was no statistically significant difference in clinical parameters such as age(P=0.443),TNM stage(P=0.335),molecular typing(P=0.333),degree of differentiation(P=0.617),and pathological type(P=0.127)between the two groups of patients.Compared with conventional radiotherapy group,the V5(25.6％vs.33.8％,P=0.015),V20(13.3％vs.17.2％,P=0.042),and the mean radiation dose(MLD;7.4 Gy vs.10.4 Gy,P=0.020)of the affected lung of HyRt group significantly decreased.Only 3 patients in this study experienced distant metastasis,and no regional lymph node metastasis or local recurrence was observed.There was no significant difference in PFS rate at 2 years between HyRt group and conventional radiotherapy group(94.4％vs.85.2％,P=0.818).Compared with conventional radiotherapy group,the incidence of≥grade Ⅱ irradiation dermatitis in HyRt group was significantly reduced(2.4％vs.21.4％,P=0.015).There was no difference in the incidence of grade Ⅰ breast/skin fibrosis(19.5％vs.14.3％,P=0.570)between the two groups,and no grade Ⅲ radiotherapy-related side effects were observed in the two groups.Conclusions Compared with conventional radiotherapy with simultaneously integrated boosting-intensity modulated radiotherapy,the patients who received HyRt after breast-conserving surgery for early-stage breast cancer have good tolerance and low incidence of adverse reactions.HyRt can be used as the first option of radiation therapy.

Objective To analyze and verify the role of senescent genes in the treatment,prognosis,and tumor microenvironment(TME)characteristics of osteoblastic osteosarcoma,bioinformatic methods were employed.Methods Senescent genes were obtained from the China National Genome Science database(https://ngdc.cncb.ac.cn/aging/index).The gene expression profile and clinical information of osteosarcoma patients were sourced from the TARGET database(https://ocg.cancer.gov/programs/target),while single-cell RNA-sequencing(scRNA-seq)data was collected from GSE162454 on the Gene Expression Omnibus(GEO)for downstream analysis.Osteosarcoma cells were classified based on scRNA-seq,and differential expression analysis between osteoblasts/chondroblasts and other cell types was conducted to identify differently expressed genes(DEGs).After matching with the senescent genes,prognostic senescent DEGs were identified through univariable and multivariable Cox regression analysis.Subsequently,the osteosarcoma senescent-related model(OSRM)was constructed,and the risk score was calculated.The role of OSRM in treatment,prognosis,and TME of osteosarcoma was further investigated.Results The analysis revealed that GSE162454 contained 6 osteosarcoma samples,with 19933 cells identified after filtering,quality control,and normalization.Seventeen cellular subtypes were identified using uniform manifold approximation and projection(UMAP)methods.A total of 4821 DEGs were found between osteoblasts/chondroblasts and other subtypes,with 132 senescent DEGs obtained after matching with the senescent gene set.In the TARGET database,4 prognostic senescent DEGs[ADH5(alcohol dehydrogenase 5),ARHGAP1(Rho GTPase activating protein 1),APOE(apolipoprotein E),and ATF4(activating transcription factor 4)]were identified through univariable and multivariable Cox analyses to construct OSRM.Based on risk score,patients were stratified into high-and low-risk groups,with the latter showing better prognosis(HR=0.13,95%CI 0.06-0.28,P<0.001)and higher sensitivity to immune checkpoint inhibitors.qRT-PCR and Western blotting confirmed the high expression of senescent genes ADH5(P<0.01),APOE(P<0.01),and ATF4(P<0.05)in the K7M2 osteosarcoma cell line,suggesting the potential for predicting the response to anti-PD-1 immunotherapy for osteosarcoma.Conclusions scRNA-seq facilitated the division of osteosarcoma into 17 cell subtypes.ADH5,ARHGAP1,APOE,and ATF4 emerged as potential cancer-promoting or suppressing senescent genes in osteosarcoma.OSRM was found to be associated with treatment response,prognosis,and TME characteristics,thereby promoting the molecular pathological diagnosis of osteoblastic osteosarcoma and prediction for anti-PD-1 immunotherapy.