ObjectiveTo establish a new noninvasive， simple， and convenient clinical predictive model by identifying independent predictive factors for rebleeding after endoscopic therapy in cirrhotic patients with esophagogastric variceal bleeding （EGVB）， and to provide a basis for individualized risk assessment and development of clinical intervention strategies. MethodsCirrhotic patients with EGVB who were diagnosed and treated in The First Affiliated Hospital of Xi’an Medical University from September 2018 to October 2023 were enrolled as subjects， and according to whether the patient experienced rebleeding within 1 year after endoscopic therapy， they were divided into rebleeding group with 93 patients and non-rebleeding group with 84 patients. Clinical data were collected and analyzed. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. A Logistic model was established based on the results of the univariate and multivariate analyses， and the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the accuracy of the model. R software was used to visualize the model by plotting a nomogram， and the Bootstrap method was used for internal validation of the model. ResultsThe multivariate analysis showed that red blood cell count （RBC）， cholinesterase （ChE）， alkaline phosphatase （ALP）， albumin （Alb）， thrombin time （TT）， portal vein trunk diameter， sequential therapy， and primary prevention were independent predictive factors for rebleeding. Based on the results of the multivariate analysis， a logistic model was established as logit（P）=-0.805-1.978×（RBC）+0.001×（ChE）-0.020×（ALP）-0.314×（Alb）+0.567×（TT）+0.428×（portal vein trunk diameter）-2.303×［sequential therapy （yes=1， no=0）］-2.368×［primary prevention （yes=1， no=0）］. The logistic model （AUC=0.928， 95% confidence interval ［CI］： 0.893—0.964， P<0.001） had a better performance in predicting rebleeding than MELD score （AUC=0.603， 95%CI： 0.520—0.687， P=0.003）， Child-Pugh class （AUC=0.650， 95%CI： 0.578—0.722， P=0.001）， and FIB-4 index （AUC=0.587， 95%CI： 0.503—0.671， P=0.045）. The model had an optimal cut-off value of 0.607， a sensitivity of 0.817， and a specificity of 0.817. Internal validation confirmed that the model had good predictive performance and accuracy. ConclusionSequential therapy， implementation of primary prevention， an increase in RBC， and an increase in Alb are protective factors against rebleeding， while prolonged TT and widened main portal vein diameter are risk factors. The logistic model based on these independent predictive factors can predict rebleeding and thus holds promise for clinical application.

OBJECTIVE To introduce the development of an intelligent prescription review decision-support system for anti-tumor drugs and assess its clinical application outcomes. METHODS Relevant data sources， including national and local pharmaceutical administration policies， clinical practice guidelines/consensus， hospital information systems data， and genetic testing results， were integrated. Adhering to the principles of structure， standardization and dynamic updating， a knowledge base covering chemotherapeutic， targeted and immunotherapeutic agents was constructed using a dual-dimensional modeling approach that combined “drug attributes” and “clinical contexts”. This knowledge base was then embedded into the hospital’s electronic medical order system to establish the prescription review decision-support system. The application and performance of the system were evaluated at Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. RESULTS A knowledge base containing 18 318 prescription review rules for anti-tumor drugs was constructed， and a closed-loop prescription review system was successfully established， encompassing pre-prescription real-time intervention， in-process interactive review， and post-prescription evaluation and analysis. From 2021 to 2024， the system generated a total of 57 879 alerts for prescriptions of five typical categories of anti-tumor drugs. For platinum-containing prescriptions， 22 577 alerts were generated， with Cisplatin for injection （lyophilized） being the most frequently alerted drug （13 445 alerts）， and “ototoxicity risk due to combined use” alerts remained high （7 682 alerts）. For methotrexate-containing prescriptions， 3 721 alerts were recorded， primarily related to “precaution-related issues” （76.4%， 2 843/3 721）. For doxorubicin-containing prescriptions， 17 301 alerts were triggered， primarily related to “dosage and administration” （14 315 alerts）. For human epidermal growth factor receptor 2-targeted agents-containing prescriptions， 1 007 alerts were issued， mostly related to “reimbursement restrictions” （956 alerts）. For programmed death-1/programmed death-ligand 1 inhibitors-containing prescriptions， the alerts increased year by year， totaling 13 273 alerts， primarily related to “inappropriate indication” （9 118 alerts）. Over the 4 years， the physician response rates to system alerts were 21.4%， 27.1%， 33.5% and 51.6%， respectively. CONCLUSIONS An intelligent decision-support system for anti-tumor drug prescription review， encompassing a closed-loop process of “real-time pre-event intervention， interactive in-event prescription review， post-event evaluation and analysis”， has been successfully constructed and implemented throughout the entire workflow. There is a discernible trend in this hospital， where the focus on monitoring anti-tumor drugs is shifting towards immunotherapy drugs. Additionally， the acceptance rate of physicians regarding prescription review opinions has been steadily increasing year by year.

This paper discussed the differentiation and treatment of chemotherapy-induced nausea and vomiting （CINV） in traditional Chinese medicine， based on the theory of "yin qi descends， while all yang qi ascends” from Inner Canon of Yellow Emperor （《黄帝内经》）. The core pathogenesis of CINV is attributed to chemotherapy-induced injury to the middle jiao （焦）， resulting in the separation of yin and yang and loss of their mutual communication. Acute and explosive CINV is often characterized by "all yang qi ascends"， with stomach yang constraint transforming into fire， and qi counterflow leading to vomiting， which can be treated by unblocking stomach yang， draining fire and scattering the counterflow， with Huoxiang Zhengqi Powder （藿香正气散） and medicinals of clearing function. For delayed cases， which are often due to "yin qi descends"， and the accumulation of turbid yin obstructs and constrains the deficient yang， the treatment should focus on promoting qi flow to eliminate turbidity， unblocking and boosting yang qi， and Chengqi-series Formulas （承气类方） or Xiao Banxia Decoction （小半夏汤） can be considered. Refractory and anticipated cases usually involve stomach-kidney deficiency and zang-fu （脏腑） organs disharmony， making yin and yang difficult to restore balance， for which the treatment should focus on nourishing both the stomach and kidneys and harmonize the zang-fu organs， with formulas such as Fuzi Lizhong Decoction （附子理中汤） or Xiaoyao Powder （逍遥散） modified as appropriate.

OBJECTIVE To conduct a comprehensive clinical evaluation of phosphate-lowering drugs in the treatment of chronic kidney disease （CKD） with hyperphosphatemia， and to provide evidence-based support for clinical drug decision-making. METHODS Relevant studies meeting the inclusion and exclusion criteria were retrieved， a comprehensive evaluation of efficacy， safety and economics was conducted based on existing study results. Innovation was analyzed from three aspects including filling the clinical gap， and suitability was assessed from two aspects including technical suitability. Accessibility was evaluated based on the survey data from 37 medical institutions in Kunming， combined with information from the National Reimbursement Drug List and national centralized drug procurement. RESULTS A total of 10 meta-analyses and 2 pharmacoeconomic studies were included. In terms of efficacy， all three categories of phosphate-lowering drugs （calcium-based phosphate binders， non-calcium-based phosphate binders， sodium-hydrogen exchanger 3 inhibitors） effectively reduced serum phosphorus levels. Calcium-based phosphate binders elevated serum calcium levels more significantly； sevelamer was superior to calcium-based phosphate binders in reducing intact parathyroid hormone levels； iron-based phosphate binders improved iron metabolism and anemia-related indicators. In terms of safety， iron-based phosphate binders had the highest incidence of gastrointestinal adverse reactions， followed by lanthanum carbonate. In terms of economics， sevelamer demonstrated economic advantages over calcium-based phosphate binders and lanthanum carbonate. In terms of innovation， non-ca lcium-based phosphate binders addressed the clinical limitation of hypercalcemia associated with calcium-based phosphate binders； iron-based phosphate binders met the treatment needs of patients with comorbid iron deficiency anemia； tenapanor exhibited an innovative phosphorus-lowering mechanism. In terms of suitability， all three categories showed good suitability in various aspects. In terms of accessibility， sevelamer had the highest availability rate， while tenapanor was not yet available in medical institutions. All three categories have been included in the National Reimbursement Drug List ； the prices of lanthanum carbonate and sevelamer decreased substantially following centralized procurement with improved affordability. CONCLUSIONS For CKD patients with hyperphosphatemia， non-calcium-based phosphate binders are preferred， among which sevelamer is recommended as the first-line choice. Lanthanum carbonate may be considered for patients with gastrointestinal intolerance； iron-based phosphate binders are preferred for patients with comorbid iron deficiency anemia； tenapanor may be considered for patients with poor response to or intolerance of conventional regimens； calcium-based phosphate binders are not recommended as long-term first-line therapy.

Emerging evidences have indicated the role of ferroptosis in the progression of metabolic-associated fatty liver disease (MAFLD); thus, inhibiting ferroptosis is a promising strategy for the development of MAFLD therapeutics. Recent studies have demonstrated the antioxidative effect of the gut commensal bacterium Akkermansia muciniphila (A. muc); however, whether it can alleviate ferroptosis remains unclear. The current study indicates A. muc intervention efficiently reversed high-fat high-fructose diet (HFHFD)-induced lipid peroxidation and ferroptosis in the liver. These beneficial effects were mediated by activation of the hepatic AMPK/SIRT1/PGC-1α axis, as evidenced by the finding that AMPK deficiency abrogated the amelioration of lipid peroxidation in vitro and in vivo. Furthermore, the short-chain fatty acids (SCFAs) were enriched upon A. muc treatment, and acetate was identified as a key activator of hepatic AMPK signalling. Mechanistically, microbiota-derived acetate was transported to the liver and metabolized to adenosine monophosphate (AMP), which triggered AMPK activation. Furthermore, a colonization assay in germ-free mice confirmed that A. muc mediated antiferroptotic effects in the absence of other microbes. These data indicated that A. muc exerts antiferroptotic effects against MAFLD, at least partially by producing acetate, which activates the hepatic AMPK/SIRT1/PGC-1α axis to alleviate ferroptosis via the inhibition of polyunsaturated fatty acid (PUFA) synthesis.

OBJECTIVES: To investigate the incidence of ipsilateral upper urinary tract stones after partial nephrectomy and its risk factors. METHODS: We retrospectively analyzed baseline patient characteristics (age, gender, and body mass index), smoking, alcohol consumption, comorbidities (hypertension, diabetes, hypertriglyceridemia, hyperuricemia, and cardiovascular diseases), preoperative tumor conditions (tumor diameter, multiple foci, location, hemorrhage, necrosis, cystic changes, and endophytic growth), preoperative glomerular filtration rate and intraoperative factors (renal collecting system damage, ischemia time, operation time, surgical approach, and estimated intraoperative blood loss) to identify the risk factors for ipsilateral upper urinary tract stones following partial nephrectomy in our center. RESULTS: The overall incidence of upper urinary tract stones following partial nephrectomy was 7.80% (112/1435). The incidence of ipsilateral upper urinary tract stones was significantly higher than those of contralateral stones (4.95% vs 1.46%, P<0.001) and bilateral stones (4.95% vs 1.39%, P<0.001). Intraoperative damage to the renal collecting system was identified as a significant risk factor for ipsilateral upper urinary tract stones (OR=4.550, 95% CI: 2.237-9.252, P<0.001). Diabetes was a probable risk factor for secondary ipsilateral upper urinary tract stones after partial nephrectomy (OR=2.419, 95% CI: 0.973-6.012, P=0.057). CONCLUSIONS The incidence of ipsilateral upper urinary tract stones after partial nephrectomy is higher than that of contralateral and bilateral stones. Intraoperative renal collecting system damage is a risk factor for secondary ipsilateral upper urinary tract stones after partial nephrectomy.
Humans ; Nephrectomy/methods* ; Retrospective Studies ; Risk Factors ; Male ; Female ; Case-Control Studies ; Middle Aged ; Aged ; Kidney Neoplasms/surgery* ; Adult ; Intraoperative Complications ; Kidney Tubules, Collecting/injuries* ; Propensity Score ; Incidence ; Kidney Calculi/etiology* ; Urinary Calculi/epidemiology*

Identification of disease-specific cell subtypes (DSCSs) has profound implications for understanding disease mechanisms, preoperative diagnosis, and precision therapy. However, achieving unified annotation of DSCSs in heterogeneous single-cell datasets remains a challenge. In this study, we developed the gPRINT algorithm (generalized approach for cell subtype identification with single cell's voicePRINT). Inspired by the principles of speech recognition in noisy environments, gPRINT transforms gene position and gene expression information into voiceprints based on ordered and clustered gene expression phenomena, obtaining unique "gene print" patterns for each cell. Then, we integrated neural networks to mitigate the impact of background noise on cell identity label mapping. We demonstrated the reproducibility of gPRINT across different donors, single-cell sequencing platforms, and disease subtypes, and its utility for automatic cell subtype annotation across datasets. Moreover, gPRINT achieved higher annotation accuracy of 98.37% when externally validated based on the same tissue, surpassing other algorithms. Furthermore, this approach has been applied to fibrosis-associated diseases in multiple tissues throughout the body, as well as to the annotation of fibroblast subtypes in a single tissue, tendon, where fibrosis is prevalent. We successfully achieved automatic prediction of tendinopathy-specific cell subtypes, key targets, and related drugs. In summary, gPRINT provides an automated and unified approach for identifying DSCSs across datasets, facilitating the elucidation of specific cell subtypes under different disease states and providing a powerful tool for exploring therapeutic targets in diseases.
Humans ; Algorithms ; Single-Cell Analysis ; Databases, Genetic ; Molecular Sequence Annotation

OBJECTIVE: Ulcerative colitis is closely associated with intestinal stem cell (ISC) loss and impaired intestinal mucus barrier. Sinisan (SNS), a compound Chinese herbal medicine, has a long history in the treatment of intestinal dysfunction, yet whether SNS can relieve acute experimental colitis by modulating ISC proliferation and secretory cell differentiation has not been studied. Our study tested the effect of SNS against acute colitis and focused on the mechanisms involving intestinal barrier recovery. METHODS: Network pharmacology analysis and blood entry component analysis of SNS were used to explore the underlying mechanism by which SNS affects the acute dextran sulfate sodium (DSS)-induced murine colitis model. RNA-sequencing was used to demonstrate the mechanism. Further, reverse transcription-quantitative polymerase chain reaction, immunofluorescence staining, and alcian blue and periodic acid-Schiff staining were performed in vivo and in the colonic organoids to investigate the cell lineage differentiation-related mechanism of SNS. Furthermore, potential active ingredients from SNS were predicted by network pharmacology analysis. RESULTS: SNS dramatically suppressed DSS-induced acute colonic inflammation in mice. RNA-sequencing analysis revealed downregulation of inflammation and apoptosis-related genes, and upregulation of lipid metabolism and proliferation-related genes, such as Irf7, Pparα, Clspn and Hspa5. Additionally, ISC renewal and intestinal secretory cell lineage commitment were significantly promoted by SNS both in vivo and in vitro in colonic organoids, leading to enhanced mucin expression. Furthermore, potential active ingredients from SNS that mediated inflammation, lipid metabolism, proliferation, apoptosis, stem cells and secretory cells were predicted using a network pharmacology approach. CONCLUSION Our study shed light on the underlying mechanism of SNS in attenuating acute colitis from the perspective of ISC renewal and secretory lineage cell differentiation, suggesting a of novel therapeutic strategy against colitis. Please cite this article as: Cai YJ, Lan JH, Li S, Feng YN, Li FH, Guo MY, et al. Sinisan, a compound Chinese herbal medicine, alleviates acute colitis by facilitating colonic secretory cell lineage commitment and mucin production. J Integr Med. 2025; 23(4): 429-444.
Animals ; Drugs, Chinese Herbal/therapeutic use* ; Mice ; Colon/pathology* ; Mucins/metabolism* ; Mice, Inbred C57BL ; Cell Differentiation/drug effects* ; Male ; Colitis/metabolism* ; Cell Lineage/drug effects* ; Dextran Sulfate ; Stem Cells/drug effects* ; Disease Models, Animal

ObjectiveTo understand the whole genome characteristics and the information for genetic evolution in the two coxsackievirus A2 (CVA2) strains isolated from patients with herpangina in Shanghai, and to provide a scientific basis for the prevention and treatment of herpetic angina. MethodsTwo CAV2 strains isolated from patients with herpetic angina in Shanghai were performed whole genome sequencing and analysis for phylogenetics, nucleotide homology, and evolution. ResultsA phylogenetic analysis of the VP1 region revealed that the two Shanghai strains both belonged to CVA2 genotype D, with the highest homology to OL357660, a strain from Yunnan. The average nucleotide identity (ANI) of the whole genome between the two Shanghai strains was 98.88%, and the ANI of the whole genome comparisons to other CVA2 genotype D strains and CVA2 genotypes A-C strains ranged from 84.64% to 97.42% and from 79.21% to 84.20%, respectively. The two Shanghai strains had low homology in the 3D region compared to the existing CVA2 strains. The phylogenetic analysis and sliding window nucleotide similarity analysis indicated that the two Shanghai strains and the Yunnan OL357660 strain might constitute a new genetic lineage. ConclusionThe two CVA2 strains isolated for the first time in Shanghai are assigned to genotype D (GenBank: PQ130039 and PQ130040), which is identical to the existing subtype prevalent in China. As represented by the Shanghai strains, a new CVA2 genetic lineage is been identified. This study has enriched the data on genetic evolution and genetic variation of CVA2 in Shanghai, indicating the requirement to strengthen surveillance for the epidemiological pattern of CVA2.