Cancer is characterized by abnormal cell proliferation. Cyclins and cyclin-dependent kinases (CDKs) have been recognized as essential regulators of the intricate cell cycle, orchestrating DNA replication and transcription, RNA splicing, and protein synthesis. Dysregulation of the CDK pathway is prevalent in the development and progression of human cancers, rendering cyclins and CDKs attractive therapeutic targets. Several CDK4/6 inhibitors have demonstrated promising anti-cancer efficacy and have been successfully translated into clinical use, fueling the development of CDK-targeted therapies. With this enthusiasm for finding novel CDK-targeting anti-cancer agents, there have also been exciting advances in the field of targeted protein degradation through innovative strategies, such as using proteolysis-targeting chimera, heat shock protein 90 (HSP90)‍-mediated targeting chimera, hydrophobic tag-based protein degradation, and molecular glue. With a focus on the translational potential of cyclin- and CDK-targeting strategies in cancer, this review presents the fundamental roles of cyclins and CDKs in cancer. Furthermore, it summarizes current strategies for the proteasome-dependent targeted degradation of cyclins and CDKs, detailing the underlying mechanisms of action for each approach. A comprehensive overview of the structure and activity of existing CDK degraders is also provided. By examining the structure‍‒‍activity relationships, target profiles, and biological effects of reported cyclin/CDK degraders, this review provides a valuable reference for both CDK pathway-targeted biomedical research and cancer therapeutics.
Humans ; Neoplasms/metabolism* ; Cyclin-Dependent Kinases/antagonists & inhibitors* ; Cyclins/metabolism* ; Proteolysis ; Antineoplastic Agents/pharmacology* ; Molecular Targeted Therapy ; Proteasome Endopeptidase Complex/metabolism* ; Animals

Objective To investigate the mechanism by which Biejiajian Pill(BJJP)regulates ferroptosis in hepatocellular carcinoma(HCC)cells through the p62/Keap1/NRF2 pathway and to provide an experimental basis for its application in the prevention and treatment of HCC.Methods Huh7 HCC cells were divided into a normal control group,a BJJP drug serum group,an erastin(a ferroptosis inducer)group,a BJJP drug serum+erastin group,and BJJP drug serum+ferrostatin-1(Fer-1)(a ferroptosis inhibitor)group.BJJP drug serum was prepared with animals treated with BJJP and CCK-8 assay was performed to determine the optimal concentration and duration of BJJP intervention.The levels of intracellular iron(Fe),reduced glutathione(GSH),lipid peroxides(MDA),and reactive oxygen species(ROS)were measured.Western blot was performed to determine the expression levels of FTH1,GPX4,xCT,SLC40A1,Keapl,p62,and NRF2.JC-1 staining was performed to measure mitochondrial membrane potential,and cell immunofluorescence was performed to determine the expression of p62 and Keap1.Results According to the CCK-8 assay results,the cell inhibition rate was highest when BJJP was administered at a high dose of 2.2 g/kg(P＜0.001).Furthermore,the inhibition rate of Huh7 cells was highest when Huh7 cells were treated with high-dose BJJP drug serum for 48 h.Therefore,the serum concentration of high-dose BJJP and 48 h were selected as the treatment dose and duration for the subsequent experiment.Compared with the control group,the BJJP drug serum group,the erastin group,and the BJJP drug serum+erastin group showed increased iron content,decreased GSH content,increased MDA levels,increased ROS aggregation,decreased FTH1,GPX4,xCT,SLC40A1,p62,and NRF2 contents,increased Keap1 content,and decreased mitochondrial membrane potential(P＜0.05).Conclusion BJJP regulates ferroptosis in Huh7 HCC cells by inhibiting the p62/Keap1/NRF2 pathway,demonstrating potentials as a therapeutic agent for HCC.

Stroke-associated sarcopenia is a serious post-stroke complication that can have a significant impact on patient’s functional recovery. However， currently available assessment tools for sarcopenia require specialized equipment and personnel， which are difficult to access in resource-limited settings. This article presents the role of biomarkers as an objective method in the pathogenesis， prevention， diagnosis， and prognostic assessment of stroke-associated sarcopenia， with the focus on neuromuscular， inflammatory， metabolic， and nutritional indicators.
Stroke ; Sarcopenia ; Biomarkers

Immune suppression in the tumor microenvironment (TME) is closely related to abnormal glycolysis. Tumor cells gain metabolic advantages and suppress immune responses through the "Warburg effect". Traditional Chinese medicine (TCM) has been shown to regulate key glycolysis enzymes (such as HK2 and PKM2), metabolic signaling pathways (such as PI3K/AKT/mTOR, HIF-1α) and non-coding RNAs at multiple targets, thus synergistically inhibiting lactate accumulation, improving vascular abnormalities, and relieving metabolic inhibition of immune cells. Studies have shown that TCM monomers and formulas can promote immune cell infiltration and functions, improve metabolic microenvironment, and with the assistance by the nano-delivery system, enhance the precision of treatment. However, the dynamic mechanism of the interaction between TCM-regulated glycolysis and TME has not been fully elucidated, for which single-cell sequencing and other technologies provide important technical support to facilitate in-depth analysis and clinical translational research. Future studies should be focused on the synergistic strategy of "metabolic reprogramming-immune activation" to provide new insights into the mechanisms of tumor immunotherapy.
Humans ; Tumor Microenvironment/immunology* ; Glycolysis/drug effects* ; Neoplasms/drug therapy* ; Medicine, Chinese Traditional ; Signal Transduction ; Drugs, Chinese Herbal/pharmacology*

Objective: To investigate the significant factors influencing the need for perioperative blood transfusion in patients undergoing hepatectomy. Methods: Medical records of patients who underwent elective hepatectomy in our hospital from January 2020 to December 2021 were retrospectively collected. Variables associated with transfusion were analyzed using traditional logistic regression (LR) and machine learning algorithm, the Classification and Regression Tree (CRT). The predictive values of the two methods were compared by the area under the curve (AUC) of the ROC curve. Results: Among the 402 patients, 82(20.4%) received blood transfusions. Multivariable logistic regression analysis identified several risk factors for perioperative blood transfusion, including vascular invasion, preoperative hemoglobin level, intraoperative blood loss, duration of surgery, postoperative hemoglobin level, and postoperative complications (P<0.05). In the CRT model for predicting blood transfusion, intraoperative blood loss (cutoff: 450 mL) was the parent node, with preoperative Hb, postoperative complications, and hospital stay as child nodes. The LR model demonstrated superior predictive performance compared to the CRT model, with an AUC of 0.971 (95% CI: 0.956-0.985) vs 0.937 (95% CI: 0.909-0.965). The difference in AUC between the two methods was statistically significant (P<0.05). Conclusion: Although the CRT model did not outperform logistic regression in overall predictive accuracy, it still provides a valuable tool for assisting clinicians in making decisions about blood transfusion in the perioperative period of hepatectomy, thereby facilitating more individualized guidance for preoperative blood preparation in clinical practice.

Mechanical circulatory support(MCS)devices have been widely used in the treatment of heart failure(HF)patients,but the infection problems caused by percutaneous cables for power transfer severely reduces the long-term survival rate of patients.The application of wireless power transfer(WPT)technology to MCS devices,and the realization of wireless power supply and full implantation of the devices is an effective means to reduce infection.WPT technology eliminates the need for percutaneous cables to transmit power,eliminates the infection problem caused by percutaneous cables,and improves the quality of life for patients,which is a more ideal power transmission method for MCS devices.The research progress of four WPT technologies,including transcutaneous energy transfer(TET),free-range resonant electrical energy delivery(FREE-D),coplanar energy transfer(CET)and ultrasound transcutaneous energy transmission(UTET),and the application of WPT technologies in 18 MCS devices were reviewed.The advantages and disadvantages of the existing WPT technologies and the bottlenecks in the application to MCS devices were discussed,and the future development direction was prospected,so as to provide a reference for the subsequent research on WPT for MCS devices.

Syndrome of dampness-heat of spleen and stomach is one of the complex syndromes of the spleen and stomach,which is difficult to differentiate and treat in TCM.According to the theoretical connotation of"attacking it according to its combination",it is suggested that the syndrome of dampness-heat of spleen and stomach should be comprehensively differentiated and treated from five aspects,including"attacking the visible pathogens combined with the invisible ones"(removing dampness and warming yang),"treating the fu-organs sharing interior-exterior relationship with zang-organs"(clearing away damp-heat pathogens of stomach with drugs of bitter taste and cold property),"formulating the treatment according to the likes and dislikes of the five internal organs"(developing a life adjustment plan favored by the spleen and stomach),"administrating drug according to the five organs"(medications according to the spleen and stomach),"weighing the severity and applying the treatment"(pay attention to the details,and treating according to syndrome differentiation).A clinical case is exampled,with the purpose to provide reference for the prevention and treatment of syndrome of dampness-heat of spleen and stomach.

Objective:To investigate the association between body mass index (BMI) and the risk of chronic obstructive pulmonary disease (COPD).Methods:This study employed a single-center, cross-sectional design combined with online Mendelian randomization (MR) analysis. A total of 16 187 pieces of lung function data for COPD screening from the “Happy Breathing” project in the Jingzhou area between September 2021 and October 2023 were initially collected. Cases with missing questionnaire information, failed quality control, or isolated restrictive or small airway dysfunction were excluded, resulting in a final dataset of 3 999 cases, comprising 2 330 non-COPD and 1 669 COPD cases. Binary COPD status was set as the outcome variable, with BMI as the exposure variable. A smooth curve plot was used to depict the relationship between BMI and COPD prevalence; if non-linearity was observed, a two-piece linear regression model was employed to calculate threshold effects, adjusting for potential confounders such as age, sex, smoking history, biomass fuel exposure, and COPD awareness. Subsequently, online genome-wide association study (GWAS) data were utilized for MR analysis to explore any potential causal link between high BMI and COPD development.Results:Analysis of the “Happy Breathing” COPD screening data from the Jingzhou area revealed a nonlinear relationship between BMI and COPD risk. For BMI values <23.7 kg/m2, each 1 kg/m2 increase in BMI was associated with an 18% decrease in COPD risk ( OR=0.82, 95% CI: 0.79-0.85). However, for BMI >23.7 kg/m2, no significant association was found between increasing BMI and COPD risk ( OR=1.00, 95% CI: 0.96-1.05). MR analysis using online GWAS data suggested no potential causal relationship between high BMI and COPD occurrence, with both heterogeneity and pleiotropy tests yielding P>0.05. Conclusion:There may be a nonlinear relationship between BMI and the risk of COPD, with no apparent association between BMI and COPD risk for values above 23.7 kg/m2.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.