Objective To explore the clinical efficacy of plasma exchange (PE) and double-filtration plasmapheresis (DFPP) pretreatment regimens for high-titer ABO-incompatible kidney transplantation (ABOi-KT). Methods A retrospective analysis was conducted on 31 cases of ABOi-KT with a follow-up period ≥1 year admitted to Zhongshan Hospital Affiliated to Fudan University from April 2016 to August 2025. The efficacy differences between the PE combined with rituximab (RTX) + oral triple immunosuppressive regimen and the DFPP combined with RTX + oral triple immunosuppressive regimen were compared and analyzed. The titers of blood group antibodies and serum creatinine levels before and after the operation were monitored. The survival curves and cumulative risk occurrence curves were plotted using the Kaplan-Meier method. The survival rates of recipients and transplanted kidneys and the occurrence of complications were analyzed. Results Both the PE regimen and the DFPP regimen may effectively reduce the preoperative blood group antibody titer of the recipients to ≤1∶16. The one-year survival rate of the recipients and the transplanted kidneys both reached 100% after the operation. The postoperative serum creatinine levels of recipients who received the DFPP regimen were lower and more stable. There was no statistically significant difference in the incidence of complications between the two regimens during the same follow-up period. Conclusions Both the PE and DFPP regimens are effective pretreatment regimens for ABOi-KT. The DFPP regimen has more advantages in reducing treatment operations, lowering drug dosage and maintaining the stability of postoperative renal function. For recipients with a high initial antibody titer (≥ 1∶32), individualized determination of the number and frequency of plasma processing for pretreatment may achieve ideal therapeutic effects.

OBJECTIVE To formulate Guidelines for the standardized implementation of pharmacist-managed clinics （ 2026 edition ） in response to the challenges faced by such clinics in China， including uneven development， large discrepancies in service specifications， insufficient patient awareness， and limited medical insurance coverage. METHODS Led by the Pharmaceutical Affairs Professional Committee of the Chinese Hospital Association， the Evidence-based Pharmacy Professional Committee of the Chinese Pharmaceutical Association， and the Hospital Pharmacy Professional Committee of the Cross-strait Medical and Health Exchange Association， a total of 19 domestic hospital pharmacy experts were organized. Through a systematic review of national policies and literature research， current practical experience was summarized. Consensus on the contents of the guidelines was reached after in-depth discussions. RESULTS &CONCLUSIONS The guidelines covered five sections： definition and connotation of pharmacist-managed clinics， establishment requirements， implementation and management， post competency， and practical research. Firstly， the definition and connotation included three operational forms of pharmacist-managed clinics （independent mode， physician-pharmacist joint mode， and online pharmacist-managed clinic mode） and classified service modes （specialty-specific， drug-specific， and disease-specific pharmacist-managed clinics）. The establishment requirements were further refined， covering system construction （pharmaceutical service management system， quality control and assessment mechanism）， personnel qualifications （professional credentials， continuing education and professional training， etc）， service recipients， as well as service venues and facilities. Subsequently， the implementation and management of pharmacist-managed clinics were proposed， involving service procedures， intervention measures， documentation and records， patient education and follow-up， humanistic care， as well as risk management and quality control. Finally， post competency encompassed the competency requirements for pharmacists providing services in pharmacist-managed clinics， as well as the suggestions on teaching methods； practical research encouraged the conduct of high-quality pharmaceutical practice in the setting of pharmacist-managed clinics. The guidelines provide valuable guidance for the standardized implementation of pharmacist-managed clinics in China in terms of establishment， management， teaching， and research， fill the guideline gap in this field， and can promote the high-quality development of pharmacist-managed clinics.

ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang （GQT） inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil （5-FU）-resistant colorectal cancer （CRC） cells based on the cyclin-dependent kinase 16 （CDK16）/MYC proto-oncogene （MYC） pathway. MethodsHCT-116/5-FU cells were treated with different concentrations （5%， 10%， 20%， 30%） of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 （CCK-8） assay， and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU， GQT， and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine （EDU） staining and annexin V-FITC/PI double staining， respectively. Glucose consumption， adenosine triphosphate （ATP） production， and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins， CDK16， MYC， and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation （CoIP） was used to examine the protein interaction between CDK16 and MYC， and cycloheximide （CHX） treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L^-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells， significant inhibition was observed only at 5 mg·L^-1 5-FU （P<0.05）， which was used for model establishment. Compared with 5-FU alone， addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability （P<0.05）， with stronger inhibition at higher serum concentrations. Thus， 5% GQT-containing serum was used in subsequent experiments. Compared with the control group， 5-FU， GQT， and 5-FU + GQT treatments all significantly reduced cell proliferation （P<0.05） and increased apoptosis （P<0.01）. The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone （P<0.01）， accompanied by more pronounced reductions in glucose consumption， ATP production， and lactate generation （P<0.01）. Additionally， compared with control， 5-FU， and GQT groups， the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms （P<0.01） and greater inhibition of glycolytic enzymes， including hexokinase 2 （HK2）， 3-phosphoinositide-dependent protein kinase 1 （PDK1）， lactate dehydrogenase A （LDHA）， and pyruvate kinase M2 （PKM2） （P<0.01）. CDK16， MYC， and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group （all P<0.01）. MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group （P<0.05）， which was rescued by CDK16 overexpression （P<0.05）. ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU， potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.

Objective To explore the change pattern of quantitative parameters in contrast-enhanced computed tomography (CECT) scans during the cortical and nephrographic phases in patients with clear cell renal cell carcinoma (ccRCC), evaluate the diagnostic efficiency of these quantitative parameters in predicting the pathological grade of ccRCC preoperatively, and provide imaging reference for clinically evaluating preoperative disease severity and formulating individualized therapeutic regimens. Methods A retrospective analysis was performed on the clinical data of 84 patients with ccRCC treated in our hospital between September 2022 and September 2024. According to the World Health Organization/International Society of Urological Pathology (WHO/ISUP) pathological grading system, patients were divided into a high-grade group (n = 32) and a low-grade group (n = 52). CECT features and quantitative parameters were compared between the two groups. The relationships between CECT quantitative parameters and pathological grading in ccRCC patients were analyzed using Spearman correlation. The diagnostic value of these parameters for preoperative pathological grading was evaluated using receiver operating characteristic curves. Results The maximum tumor diameter and the proportion of tumors with blurred margins were higher in the high-grade group than in the low-grade group (P<0.05). The CT values, net enhancement values, and enhancement rates during both the cortical and nephrographic phases were lower in the high-grade group than in the low-grade group (P<0.05). Spearman correlation analysis showed that the CT values, net enhancement values, and enhancement rates during both the cortical and nephrographic phases were negatively correlated with preoperative pathological grades in ccRCC patients (P<0.05). Receiver operating characteristic curve analysis revealed that the area under the curve for preoperative pathological grading using the combination of cortical phase CT value, cortical phase net enhancement value, cortical phase enhancement rate, nephrographic phase CT value, nephrographic phase net enhancement value, and nephrographic phase enhancement rate was 0.912, which was higher than the areas for any individual parameter used alone (0.770, 0.748, 0.763, 0.751, 0.739, and 0.718, respectively; P<0.05). The sensitivity, specificity, and 95% confidence interval for the parameters used in combination were 96.88%, 69.23%, and 0.853-0.970, respectively. Conclusion CECT quantitative parameters were negatively correlated with pathological grades in patients with single ccRCC and demonstrated high diagnostic efficiency for pathological grading, providing a reference for clinical treatment planning.

Objective To investigate the role and regulatory mechanism of LINC00657 in the progression of cervical cancer. Methods Bioinformatics analysis predicted potential binding sites between LINC00657 and miR-30a-5p and between miR-30a-5p and Skp2. These sites were verified by using RNA immunoprecipitation and dual-luciferase reporter experiments. LINC00657, miR-30a-5p, and Skp2 mRNA expression levels in cervical cancer tissues and cell lines were assessed by utilizing RT-qPCR. Western blot analysis was employed to examine the protein levels of Skp2 in cells and subcutaneous xenograft tumor models in nude mice. Immunohistochemistry was applied to analyze Skp2 expression in animal tissues. The cellular processes of cervical cancer cell lines were evaluated through CCK-8, scratch, and Transwell assays. Results LINC00657 and Skp2 presented binding sites for miR-30a-5p. In cervical cancer, LINC00657 and Skp2 showed high expression levels (P<0.05), whereas miR-30a-5p displayed low expression (P<0.05). Functional experiments demonstrated that linc00657 upregulates Skp2 expression, a process that is dependent on its sequestration of miR-30a-5p. Conclusion LINC00657 promoted the malignant progression of cervical cancer by upregulating Skp2 expression through specifically sequestering miR-30a-5p, thereby relieving its inhibitory effect on the target gene Skp2.

ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang （GQT） inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil （5-FU）-resistant colorectal cancer （CRC） cells based on the cyclin-dependent kinase 16 （CDK16）/MYC proto-oncogene （MYC） pathway. MethodsHCT-116/5-FU cells were treated with different concentrations （5%， 10%， 20%， 30%） of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 （CCK-8） assay， and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU， GQT， and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine （EDU） staining and annexin V-FITC/PI double staining， respectively. Glucose consumption， adenosine triphosphate （ATP） production， and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins， CDK16， MYC， and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation （CoIP） was used to examine the protein interaction between CDK16 and MYC， and cycloheximide （CHX） treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L^-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells， significant inhibition was observed only at 5 mg·L^-1 5-FU （P<0.05）， which was used for model establishment. Compared with 5-FU alone， addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability （P<0.05）， with stronger inhibition at higher serum concentrations. Thus， 5% GQT-containing serum was used in subsequent experiments. Compared with the control group， 5-FU， GQT， and 5-FU + GQT treatments all significantly reduced cell proliferation （P<0.05） and increased apoptosis （P<0.01）. The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone （P<0.01）， accompanied by more pronounced reductions in glucose consumption， ATP production， and lactate generation （P<0.01）. Additionally， compared with control， 5-FU， and GQT groups， the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms （P<0.01） and greater inhibition of glycolytic enzymes， including hexokinase 2 （HK2）， 3-phosphoinositide-dependent protein kinase 1 （PDK1）， lactate dehydrogenase A （LDHA）， and pyruvate kinase M2 （PKM2） （P<0.01）. CDK16， MYC， and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group （all P<0.01）. MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group （P<0.05）， which was rescued by CDK16 overexpression （P<0.05）. ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU， potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.

OBJECTIVES: Multiple myeloma (MM) is a hematologic malignancy characterized by clonal proliferation of plasma cells and remains incurable. Patients with primary refractory multiple myeloma (PRMM) show poor response to initial induction therapy. This study aims to develop a machine learning-based model to predict treatment response in newly diagnosed multiple myeloma (NDMM) patients, in order to optimize therapeutic strategies. METHODS: NDMM and post-treatment MM patients hospitalized in the Department of Hematology, Third Xiangya Hospital, Central South University, between August 2022 and July 2023 were enrolled. Post-treatment MM patients were categorized into PRMM patients and treatment-responsive MM (TRMM) patients based on therapeutic efficacy. Serum metabolites were detected and analyzed via metabolomics. Based on the metabolomics analysis results and combined with transcriptomic sequencing data of NDMM patients from databases, differentially expressed amino acid metabolism-related genes (AAMGs) among post-treatment NDMM patients with varying therapeutic outcomes were screened. Using bioinformatics analyses and machine learning algorithms, a predictive model for treatment response in NDMM was constructed and used to identify patients at risk for PRMM. RESULTS: A total of 61 patients were included: 22 NDMM, 23 TRMM, and 16 PRMM patients. Significant differences in metabolite levels were observed among the 3 groups, with differential metabolites mainly enriched in amino acid metabolism pathways. Follow-up data were available for 16 of the 22 NDMM patients, including 12 treatment responders (ND_TR group) and 4 with PRMM (ND_PR group). A total of 23 differential metabolites were identified between these 2 groups: 6 metabolites (e.g., tryptophan) were upregulated and 17 (e.g., citric acid) were downregulated in the ND_TR group. Transcriptomic data from 108 TRMM and 77 PRMM patients were analyzed to identify differentially expressed AAMGs, which were then used to construct a prediction model. The area under the receiver operating characteristic curve (AUC) for the model exceeded 0.8, and AUC values in 3 external validation cohorts were all above 0.7. CONCLUSIONS This study delineated the metabolic alterations in MM patients with different treatment response, suggesting that dysregulated amino acid metabolism may be associated with poor treatment response in PRMM. By integrating metabolomics and transcriptomics, a machine learning-based predictive model was successfully established to forecast treatment response in NDMM patients.
Humans ; Multiple Myeloma/drug therapy* ; Machine Learning ; Male ; Female ; Metabolomics/methods* ; Middle Aged ; Aged ; Treatment Outcome ; Transcriptome ; Computational Biology ; Adult ; Multiomics

Despite therapy with potent antiviral agents, chronic hepatitis B (CHB) patients remain at high risk of hepatocellular carcinoma (HCC). While metabolites have been rediscovered as active drivers of biological processes including carcinogenesis, the specific metabolites modulating HCC risk in CHB patients are largely unknown. Here, we demonstrate that baseline plasma from CHB patients who later developed HCC during follow-up exhibits growth-promoting properties in a case-control design nested within a large-scale, prospective cohort. Metabolomics analysis reveals a reduction in long-chain acylcarnitines (LCACs) in the baseline plasma of patients with HCC development. LCACs preferentially inhibit the proliferation of HCC cells in vitro at a physiological concentration and prevent the occurrence of HCC in vivo without hepatorenal toxicity. Uptake and metabolism of circulating LCACs increase the intracellular level of acetyl coenzyme A, which upregulates histone H3 Lys14 acetylation at the promoter region of KLF6 gene and thereby activates KLF6/p21 pathway. Indeed, blocking LCAC metabolism attenuates the difference in KLF6/p21 expression induced by baseline plasma of HCC/non-HCC patients. The deficiency of circulating LCACs represents a driver of HCC in CHB patients with viral control. These insights provide a promising direction for developing therapeutic strategies to reduce HCC risk further in the antiviral era.

Poly(ADP-ribose) polymerase 1 (PARP1) is a multifunctional protein involved in diverse cellular functions, notably DNA damage repair. Pharmacological inhibition of PARP1 has therapeutic benefits for various pathologies. Despite the increased use of PARP inhibitors, challenges persist in achieving PARP1 selectivity and effective blood-brain barrier (BBB) penetration. The development of a PARP1-specific positron emission tomography (PET) radioligand is crucial for understanding disease biology and performing target occupancy studies, which may aid in the development of PARP1-specific inhibitors. In this study, we leverage the recently identified PARP1 inhibitor, AZD9574, to introduce the design and development of its ¹⁸F-isotopologue ([¹⁸F]AZD9574). Our comprehensive approach, encompassing pharmacological, cellular, autoradiographic, and in vivo PET imaging evaluations in non-human primates, demonstrates the capacity of [¹⁸F]AZD9574 to specifically bind to PARP1 and to successfully penetrate the BBB. These findings position [¹⁸F]AZD9574 as a viable molecular imaging tool, poised to facilitate the exploration of pathophysiological changes in PARP1 tissue abundance across various diseases.

OBJECTIVES: We propose a multi-feature fusion model based on manually extracted features and deep learning features from endoscopic images for grading rebleeding risk of peptic ulcers. METHODS: Based on the endoscopic appearance of peptic ulcers, color features were extracted to distinguish active bleeding (Forrest I) from non-bleeding ulcers (Forrest II and III). The edge and texture features were used to describe the morphology and appearance of the ulcers in different grades. By integrating deep features extracted from a deep learning network with manually extracted visual features, a multi-feature representation of endoscopic images was created to predict the risk of rebleeding of peptic ulcers. RESULTS: In a dataset consisting of 3573 images from 708 patients with Forrest classification, the proposed multi-feature fusion model achieved an accuracy of 74.94% in the 6-level rebleeding risk classification task, outperforming the experienced physicians who had a classification accuracy of 59.9% (P<0.05). The F1 scores of the model for identifying Forrest Ib, IIa, and III ulcers were 90.16%, 75.44%, and 77.13%, respectively, demonstrating particularly good performance of the model for Forrest Ib ulcers. Compared with the first model for peptic ulcer rebleeding classification, the proposed model had improved F1 scores by 5.8%. In the simplified 3-level risk (high-risk, low-risk, and non-endoscopic treatment) classification task, the model achieved F1 scores of 93.74%, 81.30%, and 73.59%, respectively. CONCLUSIONS The proposed multi-feature fusion model integrating deep features from CNNs with manually extracted visual features effectively improves the accuracy of rebleeding risk classification for peptic ulcers, thus providing an efficient diagnostic tool for clinical assessment of rebleeding risks of peptic ulcers.
Humans ; Deep Learning ; Peptic Ulcer ; Risk Assessment ; Peptic Ulcer Hemorrhage ; Recurrence