Cancer has become a significant global public health issue， severely impacting public health and societal development. Despite advances in tumor treatment methods in recent years and a gradual decline in cancer mortality rates， drug-related adverse reactions and drug resistance remain substantial challenges. Traditional Chinese medicine （TCM） has demonstrated significant clinical efficacy in cancer treatment and small side effects， making it widely applied in the field of oncology. Xuefu Zhuyutang， derived from Yilin Gaicuo， is known for its abilities to invigorate blood circulation， dispel blood stasis， promote Qi flow， and alleviate pain. It was specifically formulated by the esteemed WANG Qingren of the Qing dynasty for the "blood stasis syndrome in the blood mansion" and is commonly used to treat Qi stagnation and blood stasis syndrome. Clinical studies have shown that Xuefu Zhuyutang， when combined with conventional Western medications， produces significant effects in the treatment of malignant tumors such as liver cancer， lung cancer， and cervical cancer. It substantially reduces the incidence of adverse reactions following Western treatments， including radiation esophagitis， radiation encephalopathy， radiation-induced oral mucositis， and edema. Additionally， it alleviates cancer-related pain and fever， blood hypercoagulability， and associated complications such as depression and anxiety， and also mitigates chemotherapy-induced side effects like hand-foot syndrome. Basic research has demonstrated its potential anti-tumor mechanisms， including the inhibition of Wnt/β-catenin signaling pathway activation， suppression of mitogen-activated protein kinase （MAPK） pathway activation， and anti-tumor angiogenesis. Pharmacological studies have revealed that its active components inhibit tumor cell proliferation and migration， induce tumor cell apoptosis， suppress tumor angiogenesis， enhance the cytotoxicity of natural killer cells against tumors， improve the tumor microenvironment， and regulate immune function. This paper reviewed the latest research progress on Xuefu Zhuyutang in the treatment of malignant tumors from four aspects： theoretical exploration， clinical studies， mechanisms of action， and pharmacological basis， aiming to provide insights and methods for the clinical diagnosis and treatment of malignant tumors.

Cancer has become a significant global public health issue， severely impacting public health and societal development. Despite advances in tumor treatment methods in recent years and a gradual decline in cancer mortality rates， drug-related adverse reactions and drug resistance remain substantial challenges. Traditional Chinese medicine （TCM） has demonstrated significant clinical efficacy in cancer treatment and small side effects， making it widely applied in the field of oncology. Xuefu Zhuyutang， derived from Yilin Gaicuo， is known for its abilities to invigorate blood circulation， dispel blood stasis， promote Qi flow， and alleviate pain. It was specifically formulated by the esteemed WANG Qingren of the Qing dynasty for the "blood stasis syndrome in the blood mansion" and is commonly used to treat Qi stagnation and blood stasis syndrome. Clinical studies have shown that Xuefu Zhuyutang， when combined with conventional Western medications， produces significant effects in the treatment of malignant tumors such as liver cancer， lung cancer， and cervical cancer. It substantially reduces the incidence of adverse reactions following Western treatments， including radiation esophagitis， radiation encephalopathy， radiation-induced oral mucositis， and edema. Additionally， it alleviates cancer-related pain and fever， blood hypercoagulability， and associated complications such as depression and anxiety， and also mitigates chemotherapy-induced side effects like hand-foot syndrome. Basic research has demonstrated its potential anti-tumor mechanisms， including the inhibition of Wnt/β-catenin signaling pathway activation， suppression of mitogen-activated protein kinase （MAPK） pathway activation， and anti-tumor angiogenesis. Pharmacological studies have revealed that its active components inhibit tumor cell proliferation and migration， induce tumor cell apoptosis， suppress tumor angiogenesis， enhance the cytotoxicity of natural killer cells against tumors， improve the tumor microenvironment， and regulate immune function. This paper reviewed the latest research progress on Xuefu Zhuyutang in the treatment of malignant tumors from four aspects： theoretical exploration， clinical studies， mechanisms of action， and pharmacological basis， aiming to provide insights and methods for the clinical diagnosis and treatment of malignant tumors.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

BACKGROUND: Periodontitis is characterized by alveolar bone resorption, aggravated by osteoblast dysfunction, and associated with intracellular oxidative stress linked to the nuclear factor erythroid 2-related factor 2 (NRF2) level. We evaluated the molecular mechanism of periodontitis onset and development and the role of NRF2 in osteogenic differentiation. METHODS: Primary murine mandibular osteoblasts were extracted and exposed to Porphyromonas gingivalis lipopolysaccharide (Pg-LPS) or other stimuli. Reactive oxygen species (ROS) and 5,5',6,6'-tetrachloro-1,1',3,3'-tetraethylbenzimidazolylcarbocyanine iodide (JC-1) staining were used to detect intracellular oxidative stress. Alkaline phosphatase staining and alizarin red S staining were used to detect the osteogenic differentiation of osteoblasts. Immunofluorescence and western blotting were used to determine the changes in the mitogen-activated protein kinase (MAPK) pathway and related molecule activities. Immunofluorescence colocalization and co-immunoprecipitation were performed to examine the nuclear translocation of NRF2 and its interaction with dual-specific phosphatase 1 (DUSP1) in cells. RESULTS: Ligated tissue samples showed higher alveolar bone resorption rate and lower NRF2 level than healthy periodontal tissue samples. Pg-LPS increased intracellular oxidative stress levels and inhibited osteogenic differentiation, whereas changes in NRF2 expression were correlated with changes in the oxidative stress and osteogenesis rate. NRF2 promoted the dephosphorylation of the MAPK pathway by nuclear translocation and the upregulation of DUSP1 expression, thus enhancing the osteogenic differentiation capacity of mandibular osteoblasts. The interaction between NRF2 and DUSP1 was observed. CONCLUSIONS: NRF2 and its nuclear translocation can regulate the osteogenic differentiation of mandibular osteoblasts under Pg-LPS conditions by interacting with DUSP1 in a process linked to the MAPK pathway. These findings form the basis of periodontitis treatment.
Animals ; NF-E2-Related Factor 2/physiology* ; Lipopolysaccharides/pharmacology* ; Osteoblasts/drug effects* ; Mice ; Porphyromonas gingivalis/chemistry* ; Cell Differentiation ; Osteogenesis ; Dual Specificity Phosphatase 1/metabolism* ; Mandible/cytology* ; Reactive Oxygen Species/metabolism* ; Oxidative Stress ; Periodontitis/metabolism* ; Cells, Cultured ; Male ; Cell Nucleus/metabolism*

ObjectiveTo analyze the impact of diabetes-related deaths on the probability of premature mortality and life expectancy in Minhang District of Shanghai from 2004 to 2023, and to provide reference data for the optimization of targeted prevention and control strategies. MethodsAll death cases involving diabetes among the registered residents of Minhang District from 2004 to 2023 were collected. The probability of premature mortality and life expectancy was computed using the abridged life table method. The average annual percent change (AAPC) was calculated with Joinpoint 4.9.0.0. The Arriaga decomposition method was employed for statistical analyses of the influence of cause-specific and age-specific mortality related to diabetes on life expectancy. ResultsThe total number of diabetes-related mortality, crude mortality, and standardized mortality for both males and females in Minhang District from 2004 to 2023 exhibited an increasing trend (P<0.001). The primary causes of death among diabetes-related cases were cardiovascular disease (37.68%), diabetes mellitus (31.95%), and malignant tumor (17.80%). From 2004 to 2023, probability of premature mortality to diabetes-related diseases demonstrated a rising trend (P<0.001), contrasting with the declining trend observed in the overall population (P=0.001). Males showed a significant upward trajectory (P<0.001), while females displayed a stable pattern. Among the diseases exerting considerable influence, cardiovascular disease and malignant tumor revealed a marked increase over time (P<0.001), whereas diabetes mellitus maintained a stable trend; both factors negatively impacted the reduction in probability of premature mortality. From 2004 to 2023, diabetes-related mortality reduced life expectancy among residents by an average of 1.22 years (-49.89%), indicating a negative impact; the reduction was 1.41 years in males and 0.90 years in females. The age groups exhibiting greater negative contributions differed by genders, namely males aged 50‒54 years and females aged 70‒74 years. Cardiovascular disease, diabetes mellitus, and malignant tumor contributed significantly to this decline (-0.46 years, -0.42 years, -0.20 years, respectively), with male experiencing higher negative contributions than females. ConclusionIn Minhang District, the rising mortality associated with diabetes-related diseases negatively impact both the reduction of the probability of premature mortality and the increase in life expectancy. This trend is primarily attributed to the rapid escalation of mortality and younger age demographic of male residents, which warrants significant attention. It is recommended that, based on the enhancement of case management, efforts should be directed towards the targeted prevention and control of risk factors and high-risk populations.

Test Methods for Disinfection Products(WS/T 10009-2023),a health industry standard,was officially released by the National Disease Control and Prevention Administration on December 15,2023.The standard came into effect on May 1,2024.This standard systematically specifies the testing and evaluation methods for disinfection products,covering three core components—disinfection effect testing and evaluation,physical and chemical testing techniques,and toxicological testing methods.The standard provides an important technical basis for the testing of disinfection products in China.To promote an accurate understanding and effective implementation of the standard,this article focuses on the in-depth interpretation of the section concerning the testing and evaluation methods of disinfection effects.It provides a detailed explanation of the major updates,technical highlights,and scientific rationale behind the standard.The article incorporates discussions on optimizing the validation test methods for the disinfection and sterilization effects of disinfectants,simulated field testing of disinfectants,evaluation of air disinfection effects,and the supplementation and improvement of testing methods for disinfection devices(including sterilization devices).This article aims to provide clear technical guidance for disinfection product inspection personnel,researchers,and other professionals involved,promote the standardized application of the standard,improve the quality of disinfection products,and ensure scientific,effective,and safe disinfection practices.

Objective To identify potential serum metabolic biomarkers in colorectal cancer(CRC)patients using untargeted metabolomics and to evaluate their diagnostic and staging value.Methods Serum samples from 100 healthy controls and 100 CRC patients were analyzed by ultra-performance liquid chromatography-mass spectrometry(UPLC-MS).After data normalization,differential metabolites were screened using multivariate statistical analyses(PCA,OPLS-DA)and subjected to pathway enrichment analysis.Diagnostic performance was assessed via univari-ate and multivariate regression,while Mfuzz clustering was applied to analyze stage-related metabolites(Ⅰ-Ⅳ).Results A total of 432 metabolites were identified with 59 showing significant alterations.Starch and sucrose me-tabolism and glycerophospholipid metabolism pathways were significantly enriched.A three-metabolite panel(4,8-dimethylnonanoyl carnitine,9,13-dihydroxy-4-megastigmen-3-one 9-glucoside and C17 sphingosine-1-phosphate)achieved a diagnostic AUC of 0.907,while L-Carnitine and L-Norleucine showed an AUC of 0.776 in staging anal-ysis.Conclusions Specific serum metabolite panel exhibit high diagnostic accuracy,and dysregulated metabolic pathways are associated with CRC progression,suggesting their potential value as biomarkers.

Objective:To construct prediction models of necrotizing enterocolitis (NEC) using machine learning (ML) methods.Methods:From January 2015 to October 2021, neonates with suspected NEC symptoms receiving abdominal ultrasound examinations in our hospital were retrospectively analyzed. The neonates were assigned into NEC group (modified Bell's staging≥Ⅱ) and non-NEC group for diagnostic prediction analysis (dataset 1). The NEC group was subgrouped into surgical NEC group (staging≥Ⅲ) and conservative NEC group for severity analysis (dataset 2). Feature selection algorithms including extremely randomized trees, elastic net and recursive feature elimination were used to screen all variables. The diagnostic and severity prediction models for NEC were established using logistic regression, support vector machine (SVM), random forest, light gradient boosting machine and other ML methods. The performances of different models were evaluated using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, negative predictive value and positive predictive value.Results:A total of 536 neonates were enrolled, including 234 in the NEC group and 302 in the non-NEC group (dataset 1).70 were in the surgical NEC group and 164 in the conservative NEC group (dataset 2). The variables selected by extremely randomized trees showed the best predictive performance in two datasets. For diagnostic prediction models, the SVM model had the best predictive performance, with AUC of 0.932 (95% CI 0.891-0.973) and accuracy of 0.844 (95% CI 0.793-0.895). A total of 11 predictive variables were determined, including portal venous gas, intestinal dilation, neutrophil percentage and absolute monocyte count at the onset of illness. For NEC severity prediction models, the SVM model showed the best predictive performance, with AUC of 0.835 (95% CI 0.737-0.933) and accuracy of 0.787 (95% CI 0.703-0.871). A total of 25 predictive variables were identified, including age of onset, C-reactive protein and absolute neutrophil count at clincial onset. Conclusions:NEC prediction model established using feature selection algorithm and SVM classification model in ML is helpful for the diagnosis of NEC and grading of disease severity.

Objective We aimed to investigate(i)the preventive and therapeutic effects of Huogu Muli Prescription(HGMLP),a Chinese medical compound consisting of epimedii folium,drynariae rhizoma,and ostreae concha,on postmenopausal osteoporosis(PMOP)rats and(ii)whether it exerts its effects by regulating the osteoclast-osteogenesis balance.Methods Forty-eight female Sprague-Dawley rats were randomly divided into the following six groups:(i)the sham-operated group,(ii)the model group,(iii)the Qianggu Capsule group,(iv)the calcium carbonate group,and(v,vi)the HGMLP low-dose and high-dose groups(n = 8 rats per group).After adaptive feeding,rats in all groups except the sham-operated group were treated with bilateral ovarian castration to establish the PMOP model.Each day,rats in the Qianggu Capsule group received 0.054 g/kg Qianggu Capsule suspension intragastrically,rats in the calcium carbonate group received 1.670 g/kg calcium carbonate suspension intragastrically,and rats in the HGMLP low-dose and high-dose groups received 0.188 g/kg and 0.375 g/kg HGMLP intragastrically.Rats in the sham-operated group and the model group received an equal volume of normal saline intragastrically.After 90 consecutive days,serum estradiol(E2),estrogen receptor α(ERα),procollagen typeⅠN propeptide(PINP),and tartrate-resistant acid phosphatase 5b(TRACP-5b)were detected by ELISA.Total antioxidant capacity(T-AOC),superoxide dismutase(SOD),catalase(CAT),and malondialdehyde(MDA)levels were measured by colorimetry.Bone mineral density(BMD),trabecular number(Tb.N),trabecular separation/spacing(Tb.Sp),trabecular thickness(Tb.Th),and structure model index(SMI)were measured by Micro-CT,and the microstructure of cancellous bone was observed.The expressions of osteoprotegerin(OPG),receptor activator of nuclear factor-κB(RANK),RANK ligand(RANKL),phosphorylation of forkhead box O3(FoxO3α),Wnt2,β-catenin,and peroxisome proliferator-activated receptor γ(PPARγ)in rat femur tissue were detected by Western blotting.Results(i)The serum levels of E2 and ERα increased in the Qianggu Capsule group and HGMLP groups,compared with the model group(all P<0.05).(ii)Compared with the model group,the serum levels of PINP,TRACP-5b decreased and PINP/TRACP-5b increased in both the Qianggu Capsule group and HGMLP high-dose group(all P<0.05).(iii)The activities of T-AOC,AOD,and CAT in the Qianggu Capsule group and HGMLP groups were higher than those in the model group,while the content of MDA lower(all P<0.05).(iv)Compared with the model group,the femoral BMD,Tb.Th,and Tb.N increased in the Qianggu Capsule group and HGMLP groups,while the femoral Tb.Sp and SMI decreased(all P<0.05);the femoral BMD increased and the Tb.Sp decreased in the calcium carbonate group(all P<0.05).(v)The protein expressions of RANKL,RANK,FoxO3α,and PPARγ in the Qianggu Capsule group and HGMLP groups were lower than those in the model group,while the protein expressions of OPG,Wnt2,and β-catenin were higher(all P<0.05).Conclusion HGMLP can significantly increase estrogen levels,inhibit osteoclast differentiation,and inhibit bone resorption in the PMOP rats.It also alleviates oxidative stress,promotes osteogenic differentiation,inhibits lipogenic differentiation,improves bone formation,and recovers the balance between osteoclasts and osteoblasts,thus achieving prevention and treatment of PMOP.The potential mechanism of HGMLP may be related to regulation via the OPG/RANKL/RANK or FoxO3α/Wnt2/β-catenin/PPARγ pathways.

Objectives:To investigate the application value of laparoscopic double stapler firings and double stapling technique combined with rectal eversion and total extra-abdominal resection (LDER) in the anal preservation treatment of low rectal cancer.Methods:Inclusion criteria: (1) age was 18-70; (2) the distance of the lower tumor edge from the anal verge was 4-5 cm; (3) primary tumor with a diameter ≤3 cm; (4) preoperative staging of T1~2N1~2M0; (5) "difficult pelvis", defined as ischial tuberosity diameter<10 cm or body mass index>25 kg/m 2; (6) patients with strong intention for sphincter preservation; (7) no preoperative treatment (e.g., chemotherapy, radiotherapy, molecular targeted therapy, or immunotherapy); (8) no lateral lymph node enlargement; (9) no previous anorectal surgery; (10) patients with good basic condition who could tolerate surgery. Exclusion criteria: (1) previously suffered from malignant tumors of the digestive tract or currently suffering from malignant tumors out of the digestive tract; (2) patients with preoperative anal dysfunction (Wexner score ≥ 10), or fecal incontinence. The specific surgical steps are as follows: the distal end of the rectum was dissected to the level of the interspace between internal and external sphincters of anal canal. Five centimeters proximal to the tumor, the mesorectum was ligated, and a liner stapler was used to transect the rectum. The distal rectum with the tumor were then everted and extracted through the anus. The rectum was transected 0.5-1.0 cm distal to the tumor with a linear stapler. Full thickness suture was used to reinforce the stump of the rectum, which was then brought back into the pelvic cavity. Finally, an end-to-end anastomosis between the colon and the rectum was performed. A retrospective descriptive study was performed of the clinical and pathological data of 12 patients with T1-T2 stage low rectal cancer treated with LDER at Henan Provincial People's Hospital from January 2020 to December 2022. Results:All 12 patients successfully completed LDER with sphincter preservation, without conversion to open surgery or changes in surgical approach. The median surgical time was 272 (155-320) minutes, with a median bleeding volume of 100 (50-200) mL. No protective stoma was performed, and all patients received R0 resection. The average hospital stay was 9 (7-15) days. There were no postoperative anastomotic leakage or perioperative deaths. All 12 patients received postoperative follow-up, with a median follow-up of 12 months (6-36 months) and a Wexner score of 8 (5-14) at 6 months postoperatively. There was no tumor recurrence or metastasis during the follow-up period.Conclusions:LDER is safe and effective for the treatment of low rectal cancer.