ObjectiveTo explore the molecular mechanism by which gypenoside L （Gyp-L） promotes apoptosis and inhibits ovarian cancer （OC） through the FK506-binding protein （FKBP） prolyl isomerase 8 （FKBP8）/B-cell lymphoma-2 （Bcl-2） axis， with the piR-hsa-2804461 pathway as a breakthrough point. MethodsThe effects of different concentrations of Gyp-L and cis-platinum on the proliferation of OVCAR3 cells were determined by the cell count kit-8 method to identify the appropriate intervention concentration for subsequent experiments. OVCAR3 cells were allocated into blank， low-dose Gyp-L （Gyp-L-L， 50 µmol·L^-1）， high-dose Gyp-L （Gyp-L-H， 100 µmol·L^-1）， and cis-platinum （15 µmol·L^-1） groups. The migration， colony formation， and apoptosis of OVCAR3 cells were detected by the cell scratch assay， colony formation assay， and flow cytometry， respectively. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes in OVCAR3 cells were determined by Real-time PCR， and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by simple Western blot. Further， an OVCAR3 cell model with piR-hsa-2804461 knocked out was constructed. The cells were allocated into blank， NC-inhibitor， inhibitor， NC-inhibitor+Gyp-L， and inhibitor+Gyp-L groups. The colony formation of OVCAR3 cells was detected by the colony formation assay. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by Real-time PCR and simple Western blotting， respectively. ResultsGyp-L inhibited the migration and proliferation （P<0.01）， promoted the apoptosis （P<0.05）， up-regulated the mRNA level of piR-hsa-2804461 （P<0.05）， and down-regulated the mRNA and protein levels of FKBP8 and Bcl-2 （P<0.05） in OVCAR3 cells. Furthermore， Gyp-L increased the mRNA and protein levels of Bcl-2-associated X protein （Bax）， cysteinyl aspartate-specific proteinase （Caspase）-3， and Caspase-9， which are related to the FKBP8/Bcl-2 axis （P<0.05）. ConclusionGyp-L may promote apoptosis by regulating the piR-hsa-2804461/FKBP8/Bcl-2 axis， thus affecting the occurrence of ovarian cancer.

ObjectiveTo explore the molecular mechanism of gypenoside L （Gyp-L） in the treatment of ovarian cancer （OC） by taking the glycolytic pathway of OC as the key point. MethodsThe proliferation activity of OVCAR3 cells was measured by the cell counting kit-8 （CCK-8） assay to determine the appropriate intervention concentration for subsequent experiments. The cell clone formation assay and the scratch healing assay were employed to assess the proliferation and migration capabilities of OVCAR3 cells. OVCAR3 cells were divided into a blank group， a Gyp-L-L group （low concentration of Gyp-L， 50 µmol·L^-1）， a Gyp-L-H group （high concentration of Gyp-L， 100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The glucose consumption in OC cells was determined using a kit， and the expression levels of related mRNAs in OVCAR3 cells were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expressions of related proteins were detected by Wes automatic Western blot quantitative analysis. ResultsValidated by the cell scratch assay， the scratch healing rate of OVCAR3 cells was decreased after Gyp-L intervention， reflecting that Gyp-L could significantly inhibit the migration of OVCAR3 cells （P<0.05）. According to the clone formation assay， the cell colony formation ability of the Gyp-L-L group， Gyp-L-H group， and cisplatin group was significantly lower than that of the control group （P<0.05）. In OVCAR3 cells， compared with those in the control group， the levels of glucose consumption and lactate generation in the Gyp-L-L group and Gyp-L-H group were significantly reduced （P<0.05）， indicating that Gyp-L could effectively inhibit the glycolysis level of OC cells. Meanwhile， Gyp-L could suppress the expression levels of glucokinase （GCK）， phosphofructokinase liver （PFKL）， signal transducer and activator of transcription 3 （STAT3）， lactate dehydrogenase D （LDHD）， phosphoglycerate mutase 1 （PGAM1）， mRNAs， and proteins related to the glycolytic pathway in OC cells. ConclusionGyp-L may inhibit the occurrence and development of OC by influencing the GCK-mediated glycolytic pathway.

ObjectiveWith the epidermal growth factor receptor（EGFR）/Signal Transducers and Activators of Transcription（STAT3）/Hexokinase 2（HK2） signaling pathway in atherosclerosis （AS） and ovarian cancer （OC） as the entry point， this paper discusses the molecular mechanism of Gypenoside L （Gyp-L） treating AS and OC with different diseases， provides a new perspective and theoretical basis for TCM treating AS and OC with EGFR-STAT3-HK2 pathway， and enriches the scientific connotation of the theory of "cytoskeleton in the heart". MethodsCCK-8 was used to detect the proliferation of HUVEC and OVCAR-3 cells， in order to determine the intervention concentration for subsequent experiments. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. Western blot was used to detect the expression levels of relevant proteins. Furthermore， two cell models overexpressing EGFR were constructed and co treated with Gyp-L. HUVEC cells were divided into control， ox-LDL， OE-NC， OE-EGFR， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. OVCAR-3 cells were divided into control， OE-NC， OE-EGFR ， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Western blot was used to detect the expression levels of EGFR-STAT3-HK2 pathway related proteins. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. ResultsGyp-L can significantly reduce the NO content of HUVEC and the pyruvate and LDH content of two cell lines （P<0.05）； Inhibit the proliferation and migration ability of OVCAR-3 cells； Reduce the expression levels of EGFR/STAT3/HK2 pathway related proteins in HUVEC and OVCAR-3 cell lines （P<0.05）， and inhibit the glycolysis pathway. ConclusionGyp-L can inhibit glycolysis in HUVEC and OVCAR-3 cells through the EGFR/STAT3/HK2 pathway，thereby suppressing the occurrence and development of AS and OC.

ObjectiveTo explore the molecular mechanism by which gypenoside L （Gyp-L） promotes apoptosis and inhibits ovarian cancer （OC） through the FK506-binding protein （FKBP） prolyl isomerase 8 （FKBP8）/B-cell lymphoma-2 （Bcl-2） axis， with the piR-hsa-2804461 pathway as a breakthrough point. MethodsThe effects of different concentrations of Gyp-L and cis-platinum on the proliferation of OVCAR3 cells were determined by the cell count kit-8 method to identify the appropriate intervention concentration for subsequent experiments. OVCAR3 cells were allocated into blank， low-dose Gyp-L （Gyp-L-L， 50 µmol·L^-1）， high-dose Gyp-L （Gyp-L-H， 100 µmol·L^-1）， and cis-platinum （15 µmol·L^-1） groups. The migration， colony formation， and apoptosis of OVCAR3 cells were detected by the cell scratch assay， colony formation assay， and flow cytometry， respectively. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes in OVCAR3 cells were determined by Real-time PCR， and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by simple Western blot. Further， an OVCAR3 cell model with piR-hsa-2804461 knocked out was constructed. The cells were allocated into blank， NC-inhibitor， inhibitor， NC-inhibitor+Gyp-L， and inhibitor+Gyp-L groups. The colony formation of OVCAR3 cells was detected by the colony formation assay. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by Real-time PCR and simple Western blotting， respectively. ResultsGyp-L inhibited the migration and proliferation （P<0.01）， promoted the apoptosis （P<0.05）， up-regulated the mRNA level of piR-hsa-2804461 （P<0.05）， and down-regulated the mRNA and protein levels of FKBP8 and Bcl-2 （P<0.05） in OVCAR3 cells. Furthermore， Gyp-L increased the mRNA and protein levels of Bcl-2-associated X protein （Bax）， cysteinyl aspartate-specific proteinase （Caspase）-3， and Caspase-9， which are related to the FKBP8/Bcl-2 axis （P<0.05）. ConclusionGyp-L may promote apoptosis by regulating the piR-hsa-2804461/FKBP8/Bcl-2 axis， thus affecting the occurrence of ovarian cancer.

ObjectiveTo explore the molecular mechanism of gypenoside L （Gyp-L） in the treatment of ovarian cancer （OC） by taking the glycolytic pathway of OC as the key point. MethodsThe proliferation activity of OVCAR3 cells was measured by the cell counting kit-8 （CCK-8） assay to determine the appropriate intervention concentration for subsequent experiments. The cell clone formation assay and the scratch healing assay were employed to assess the proliferation and migration capabilities of OVCAR3 cells. OVCAR3 cells were divided into a blank group， a Gyp-L-L group （low concentration of Gyp-L， 50 µmol·L^-1）， a Gyp-L-H group （high concentration of Gyp-L， 100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The glucose consumption in OC cells was determined using a kit， and the expression levels of related mRNAs in OVCAR3 cells were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expressions of related proteins were detected by Wes automatic Western blot quantitative analysis. ResultsValidated by the cell scratch assay， the scratch healing rate of OVCAR3 cells was decreased after Gyp-L intervention， reflecting that Gyp-L could significantly inhibit the migration of OVCAR3 cells （P<0.05）. According to the clone formation assay， the cell colony formation ability of the Gyp-L-L group， Gyp-L-H group， and cisplatin group was significantly lower than that of the control group （P<0.05）. In OVCAR3 cells， compared with those in the control group， the levels of glucose consumption and lactate generation in the Gyp-L-L group and Gyp-L-H group were significantly reduced （P<0.05）， indicating that Gyp-L could effectively inhibit the glycolysis level of OC cells. Meanwhile， Gyp-L could suppress the expression levels of glucokinase （GCK）， phosphofructokinase liver （PFKL）， signal transducer and activator of transcription 3 （STAT3）， lactate dehydrogenase D （LDHD）， phosphoglycerate mutase 1 （PGAM1）， mRNAs， and proteins related to the glycolytic pathway in OC cells. ConclusionGyp-L may inhibit the occurrence and development of OC by influencing the GCK-mediated glycolytic pathway.

ObjectiveWith the epidermal growth factor receptor（EGFR）/Signal Transducers and Activators of Transcription（STAT3）/Hexokinase 2（HK2） signaling pathway in atherosclerosis （AS） and ovarian cancer （OC） as the entry point， this paper discusses the molecular mechanism of Gypenoside L （Gyp-L） treating AS and OC with different diseases， provides a new perspective and theoretical basis for TCM treating AS and OC with EGFR-STAT3-HK2 pathway， and enriches the scientific connotation of the theory of "cytoskeleton in the heart". MethodsCCK-8 was used to detect the proliferation of HUVEC and OVCAR-3 cells， in order to determine the intervention concentration for subsequent experiments. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. Western blot was used to detect the expression levels of relevant proteins. Furthermore， two cell models overexpressing EGFR were constructed and co treated with Gyp-L. HUVEC cells were divided into control， ox-LDL， OE-NC， OE-EGFR， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. OVCAR-3 cells were divided into control， OE-NC， OE-EGFR ， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Western blot was used to detect the expression levels of EGFR-STAT3-HK2 pathway related proteins. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. ResultsGyp-L can significantly reduce the NO content of HUVEC and the pyruvate and LDH content of two cell lines （P<0.05）； Inhibit the proliferation and migration ability of OVCAR-3 cells； Reduce the expression levels of EGFR/STAT3/HK2 pathway related proteins in HUVEC and OVCAR-3 cell lines （P<0.05）， and inhibit the glycolysis pathway. ConclusionGyp-L can inhibit glycolysis in HUVEC and OVCAR-3 cells through the EGFR/STAT3/HK2 pathway，thereby suppressing the occurrence and development of AS and OC.

BACKGROUND: To evaluate the efficacy and safety of the first cohort of people in China treated with a responsive neurostimulation system (Epilcure TM , GenLight MedTech, Hangzhou, China) for focal drug-resistant epilepsy in this study. METHODS: This multicenter, before-and-after self-controlled study was conducted across 8 centers from March 2022 to June 2023, involving patients with drug-resistant epilepsy who were undergoing responsive neurostimulation (RNS). The study was based on an ongoing multi-center, single-blind, randomized controlled study. Efficacy was assessed through metrics including median seizure count, seizure frequency reduction (SFR), and response rate. Multivariable linear regression analysis was conducted to explore the relationships of basic clinical factors and intracranial electrophysiological characteristics with SFR. The postoperative quality of life, cognitive function, depression, and anxiety were evaluated as well. RESULTS: The follow-up period for the 19 participants was 10.7 ± 3.4 months. Seizure counts decreased significantly 6 months after device activation, with median SFR of 48% at the 6th month (M6) and 58% at M12 ( P  <0.05). The average response rate after 13 months of treatment was 42%, with 21% ( n  = 4) of the participants achieving seizure freedom. Patients who have previously undergone resective surgery appear to achieve better therapeutic outcomes at M11, M12 and M13 ( β  <0, P  <0.05). No statistically significant differences were observed in patients' scores of quality of life, cognition, depression and anxiety following stimulation when compared to baseline measurements. No serious adverse events related to the devices were observed. CONCLUSIONS: The preliminary findings suggest that Epilcure TM exhibits promising therapeutic potential in reducing the frequency of epileptic seizures. However, to further validate its efficacy, larger-scale randomized controlled trials are required. REGISTRATION Chinese Clinical Trial Registry (No. ChiCTR2200055247).
Humans ; Female ; Male ; Drug Resistant Epilepsy/therapy* ; Adult ; Young Adult ; Middle Aged ; China ; Adolescent ; Treatment Outcome ; Quality of Life ; Single-Blind Method ; Seizures ; Electric Stimulation Therapy/methods*

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.