Ursodeoxycholic acid(UDCA)is a naturally occurring,low-toxicity,and hydrophilic bile acid(BA)in the human body that is converted by intestinal flora using primary BA.Solute carrier family 7 member 11(SLC7A11)functions to uptake extracellular cystine in exchange for glutamate,and is highly expressed in a variety of human cancers.Retroperitoneal liposarcoma(RLPS)refers to liposarcoma originating from the retroperitoneal area.Lipidomics analysis revealed that UDCA was one of the most significantly down-regulated metabolites in sera of RIPS patients compared with healthy subjects.The augmentation of UDCA concentration(≥25 μg/mL)demonstrated a suppressive effect on the proliferation of liposarcoma cells.[15N2]-cystine and[13Cs]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione(GSH)synthesis.Mechanistically,UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis,leading to reactive oxygen species(ROS)accumulation and mitochondrial oxidative damage.Furthermore,UDCA can promote the anti-cancer effects of ferroptosis inducers(Erastin,RSL3),the murine double minute 2(MDM2)inhibitors(Nutlin 3a,RG7112),cyclin dependent kinase 4(CDK4)inhibitor(Abemaciclib),and glutaminase inhibitor(CB839).Together,UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity,and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA.More importantly,in combination with other antitumor chemotherapy or physiotherapy treatments,UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

OBJECTIVES: To explore the effects of cannabidiol on endoplasmic reticulum stress and neuronal apoptosis in rats with multiple concussions (MCC). METHODS: SD rats were randomized into sham group, MCC group, 1% tween20 (TW) treatment group, and low-dose (10 mg/kg) and high-dose (40 mg/kg) cannabidiol treatment groups. In all but the sham group, MCC models were established using a metal pendulum percussion device, after which the rats received daily intraperitoneal injections of the corresponding agents for 2 weeks. The expressions of PERK, eIF2α, ATF4, CHOP, TRIB3, p-Akt and pro-caspase-3 in the brain tissue of the rats were detected with qRT-PCR, Western blotting and immunofluorescence staining. The core targets of cannabidiol in treatment of traumatic brain injury (TBI) were identified by network pharmacology analysis, and molecular docking was carried out to simulate the interaction of cannabidiol with the factors related to endoplasmic reticulum stress and apoptosis. RESULTS: Compared with the sham-operated rats, the rat models of MCC showed significantly increased mRNA expressions of PERK, eIF2α and CHOP and protein expressions of PERK, eIF2α, ATF4, CHOP, TRIB3, p-AKT and pro-caspase-3 in the cerebral cortex. CBD treatment, especially at the high dose, obviously increased the expression of p-Akt and lowered the expression levels of the other factors tested in the rat models. Network pharmacology analysis indicated interactions of the core targets of CBD with the factors related to endoplasmic reticulum stress and TBI, and molecular docking study showed a high binding energy of CBD with multiple factors pertaining to endoplasmic reticulum stress and apoptosis. CONCLUSIONS MCC induce endoplasmic reticulum stress and apoptosis in rat brain tissues, for which CBD, especially at a high dose, provides neuroprotective effects by inhibiting endoplasmic reticulum stress and cell apoptosis.
Animals ; Endoplasmic Reticulum Stress/drug effects* ; Apoptosis/drug effects* ; Rats, Sprague-Dawley ; Activating Transcription Factor 4/metabolism* ; Transcription Factor CHOP/metabolism* ; Rats ; Eukaryotic Initiation Factor-2/metabolism* ; Signal Transduction/drug effects* ; eIF-2 Kinase/metabolism* ; Cannabidiol/pharmacology* ; Neurons/metabolism* ; Brain Concussion/metabolism* ; Male ; Molecular Docking Simulation

One of the basic questions in the aging field is whether there is a fundamental difference between the aging of lower invertebrates and mammals. A major difference between the lower invertebrates and mammals is the abundancy of noncoding RNAs, most of which are not conserved. We have previously identified a noncoding RNA Terc-53 that is derived from the RNA component of telomerase Terc. To study its physiological functions, we generated two transgenic mouse models overexpressing the RNA in wild-type and early-aging Terc-/- backgrounds. Terc-53 mice showed age-related cognition decline and shortened life span, even though no developmental defects or physiological abnormality at an early age was observed, indicating its involvement in normal aging of mammals. Subsequent mechanistic study identified hyaluronan-mediated motility receptor (Hmmr) as the main effector of Terc-53. Terc-53 mediates the degradation of Hmmr, leading to an increase of inflammation in the affected tissues, accelerating organismal aging. adeno-associated virus delivered supplementation of Hmmr in the hippocampus reversed the cognition decline in Terc-53 transgenic mice. Neither Terc-53 nor Hmmr has homologs in C. elegans. Neither do arthropods express hyaluronan. These findings demonstrate the complexity of aging in mammals and open new paths for exploring noncoding RNA and Hmmr as means of treating age-related physical debilities and improving healthspan.
Animals ; Mice ; RNA, Untranslated/metabolism* ; Aging/genetics* ; Mice, Transgenic ; Telomerase/metabolism* ; RNA/genetics* ; Hippocampus/metabolism* ; Humans ; Mice, Inbred C57BL

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Objective To explore the application value of CT fusion navigation technology in Stanford B-type aortic dissection endovas-cular isolation surgery.Methods Nineteen patients who underwent Stanford B-type aortic dissection endovascular isolation surgery were selected.Prior to surgery,all patients underwent chest and abdominal CT plain scan and enhanced scan,and three-dimensional vascular reconstruction was performed at the post-processing workstation;During the operation,a chest(region of interest)digital subtraction angiography(DS A)3D-CT scan was first performed as the intraoperative matching localization image.Then,a thin-layer(1.0 mm)CT enhanced tomographic image of the chest and abdomen was extracted from the picture archiving and communication system(PACS).At the same time,the DSA 3D-CT image and the thin-layer CT enhanced image were opened for overlapping regis-tration of bony landmarks.After registration,the three-dimensional vascular volume rendering(VR)image of the aorta from the thin-layer CT was fused with the DSA 3D-CT,and the positioning and release of the covered stent were guided by the newly fused multimodal real-time image.Results All 19 patients underwent guided surgery with precise positioning of the covered lesions and successful release of the covered stents,with a success rate of 100％ for the guided technique.The intraoperative placement time of the covered stent was(5.4±2.4)s,the exposure time was(12.8±3.2)min,the surgical duration was(53.9±25.3)min,the intraopera-tive contrast agent dosage was(125.8±25.3)mL,the X-ray fluoroscopy dose was(221.3±155.7)mGy,and the total X-ray exposure dose was(1 056.4±330.3)mGy.There were no serious complications during the operation,and all patients received 1-3 months of follow-up which found they all recovered well.Conclusion The use of CT and DSA fusion navigation technology in guiding the treat-ment of Stanford B-type aortic dissection with covered stents provides real-time three-dimensional fusion images for the operator,which can quickly and accurately locate and release the stent,and has certain clinical value.

Objective: To investigate the current status and influencing factors for cognitive frailty among the elderly in community, so as to provide the evidence for early identification and prevention of cognitive frailty among the elderly. Methods: Residents aged 60 years and above with local household registration from 11 counties (cities, districts) in Zhejiang Province from 2021 to 2023 were selected as study participants using a multistage random sampling method. Demographic information, lifestyle, and health status were collected through questionnaire surveys. Depressive symptoms were assessed using the Patient Health Questionnaire. Cognitive frailty was evaluated using the FRAIL Scale and the Mini-Mental State Examination. Factors affecting cognitive frailty among the elderly in community were identified using a multivariable logistic regression model. Results: A total of 16 613 individuals were surveyed, including 7 465 males (44.93%) and 9 148 females (55.07%). The average age was (70.97±7.29) years. A total of 784 individuals were detected with depressive symptoms, with a detection rate of 4.72%. A total of 724 individuals were detected with cognitive frailty, with a detection rate of 4.36%. Multivariable logistic regression analysis showed that females (OR=1.419, 95%CI: 1.179-1.708), aged ≥70 years (70-<80 years old, OR=1.869, 95%CI: 1.490-2.345; ≥80 years old, OR=5.017, 95%CI: 3.935-6.398), without a spouse (OR=1.495, 95%CI: 1.234-1.810), sedentary (OR=2.420, 95%CI: 1.829-3.202), chronic diseases (1 type, OR=1.456, 95%CI: 1.175-1.804; ≥2 types, OR=1.639, 95%CI: 1.314-2.045), and depressive symptoms (OR=4.191, 95%CI: 3.361-5.225) were associated with a higher risk of cognitive frailty among the elderly in community. Conversely, a lower risk of cognitive frailty was seen among the elderly in community who had primary school or above (primary school, OR=0.512, 95%CI: 0.389-0.676; junior high school or above, OR=0.464, 95%CI: 0.354-0.608), engaged in physical exercise (OR=0.396, 95%CI: 0.291-0.539), and were reported average or good self-rated health status (average, OR=0.641, 95%CI: 0.475-0.866; good, OR=0.150, 95%CI: 0.109-0.208). Conclusions The detection rate of cognitive frailty among the elderly in community is relatively low and is influenced by demographic factors such as gender, age, education level, as well as lifestyle like sedentary and physical exercise, and health status. It is recommended to reduce the risk of cognitive frailty among the elderly through multidimensional interventions, including health education, promotion of healthy lifestyles, and enhanced mental health support.

Rheumatoid arthritis(RA)is an autoimmune disease characterized by chronic,aggressive joint inflammation,which seriously harms mental and physical health of patients.Efficacy of clinical drugs for RA is limited,so it is a hot issue to seek new therapeutic targets and drugs.Zinc finger protein A20,a cytoplasmic ubiquitin modifier,is closely related to negative regulation of nuclear factor-kappaB(NF-κB),an inflammatory signaling pathway,and has anti-inflammatory and anti-apoptotic effects.A20 is involved in pathogenesis of RA and can improve inflammatory response and bone destruction of RA.Treatment of RA by traditional Chinese medicine has unique advantages of multi-target and multi-pathway,and studies have found that traditional Chinese medicine has a regulatory effect on A20.This paper expounds mechanism of A20 in RA and research progress of traditional Chinese medicine intervention in A20,in order to provide references for treatment and drug development of RA.

Objective To develop a predictive model for assessment of the risk of the patients on prolonged mechanical ventilation after coronary artery bypass grafting with extracorporeal circulation.Methods A convenience sampling method was employed to select 2 334 patients who received the coronary artery bypass grafting(CABG)with extracorporeal circulation in our hospital from January 2021 to December 2023 as the study subjects.Preoperative,intraoperative and postoperative data were collected through structured queries from the electronic medical record system of hospital.The study subjects were randomly divided into a training set(n=1 633)and a validation set(n=701)following a 3:1 ratio.A risk prediction model was established using Logistic regression based on the training set data.Model fit was assessed using Hosmer-Lemeshow test,and predictive performance of the model was evaluated with the area under curve(AUC)of the receiver operating characteristic(ROC)curve.Results A total of 2,334 patients were included,of whom 215(9.2%)experienced the prolonged mechanical ventilation(>24 hours).The model developed from the training set identified seven factors that contributed to a prolonged mechanical ventilation:age(OR=1.03),body mass index(BMI,OR=1.14),time of extracorporeal circulation(OR=1.01),intraoperative blood transfusion(OR=4.15),postoperative serum total bilirubin(OR=1.08),postoperative serum albumin(OR=0.92)and postoperative re-sternotomy(OR=5.49).The AUC of the model for prediction of prolonged mechanical ventilation after CABG with extracorporeal circulation was 0.761,with a 95%CI of 0.716-0.806,a maximum Youden index of 0.105,a sensitivity of 77.94%,and a specificity of 64.38%.Validation using the validation set data yielded an AUC of 0.733,with a 95%CI of 0.662-0.804,a sensitivity of 75.32%,a specificity of 57.97%,and a predictive accuracy of 73.61%.Conclusion The risk prediction model developed in this study for prolonged mechanical ventilation after a CABG with extracorporeal circulation demonstrates a good predictive performance.It provides a reference for the nurses to identify the patient in high-risk of prolonged mechanical ventilation after a CABG with extracorporeal circulation and to implement preventive nursing measures.

Objective To investigate the efficacy of extracorporeal shock wave therapy(ESWT)combined with ultrasound-guided corticosteroid injection(CSI)for the treatment of primary frozen shoulder(PFS).Methods Ninety-nine patients with PFS who visited the pain department of the Affiliated Hospital of Xuzhou Medical University between April 2024 and July 2024 were enrolled and randomly divided into three groups according to the randomized number table method:ESWT group(T group),CSI group(I group),and combined treatment group(TI group),with 33 patients in each group.Visual analogue scale(VAS)scores,shoulder range of motion(SROM),and Constant-Murley shoulder scores(CMS)were recorded before treatment and at 1,4,8,and 12 weeks post-treatment.Additionally,the patients'Ascens Insomnia Scale(AIS)scores were recorded before treatment and 1 month after treatment.The occurrence of adverse effects and the use of remedial medications during the treatment period were also documented.Results Compared with pre-treatment,VAS scores decreased,and SROM and CM scores improved at all time points after treatment in all three groups(P<0.05).AIS scores also decreased in all three groups at 1 month post-treatment(all P<0.05).Intergroup comparisons revealed that the TI group exhibited signifi-cantly lower VAS pain scores,greater SROM(forward flexion and backward extension),and higher CM scores at 4,8,and 12 weeks post-treatment compared to the T and I groups(Bonferroni-corrected P<0.05).No statistically significant differences were observed between the T and I groups for these measures(Bonferroni-corrected P>0.05).Additionally,there were no statistically significant differences in AIS scores or adverse effects occurrence among the three groups at 1 month post-treatment(P>0.05).Conclusion The combined treatment demonstrated greater efficacy compared to trigger point extracorporeal shock wave therapy alone and periapical steroid injection alone,resulting in significant improvement in the patient's clinical symptoms and quality of life.

Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.