Objective To investigate the incidence rate of sarcopenia and related risk factors in patients with stroke. Methods A retrospective analysis was performed for the patients with stroke who were admitted to the stroke center of a grade A tertiary hospital in Changchun， China， from March 2023 to June 2024. The method of bioelectrical impedance was used to perform body composition analysis for all patients on day（7.0±1.0）after admission， and the incidence rate of stroke-related sarcopenia was analyzed. A binary logistic regression analysis was used to investigate the risk factors for stroke-related sarcopenia. Results A total of 666 patients were included in the study， among whom 150（22.5%） developed sarcopenia （95%CI 0.193‒ 0.257）. Low body mass index， low phase angle， low triglyceride， advanced age， and low Barthel index were risk factors for the early onset of sarcopenia in patients with stroke. Conclusion There is a relatively high incidence rate of sarcopenia in stroke patients， with complex influencing factors. Medical staff should pay more attention to the elderly stroke patients， as well as those patients with emaciation， low phase angle， low triglyceride， and limited activities of daily living. Early nutritional supplementation and functional exercise can help to prevent the onset of stroke-related sarcopenia.
Stroke ; Sarcopenia

Objective:To analyze the predictive value of the prognostic nutritional index combined with inflammatory indicators for clinical outcomes in patients with ischemic stroke, providing a basis for targeted therapeutic interventions and nursing care for patients at potential risk of poor outcomes.Methods:This retrospective cohort study recruited 424 ischemic stroke patients admitted to the Stroke Center of the First Hospital of Jilin University from June 2021 to May 2024 by the convenience sampling method. Collect the general demographic data, routine laboratory examination results within 24 hours of admission, as well as the National Institutes of Health Stroke Scale (NIHSS) scores at admission and discharge of the patients. Based on 3-month functional outcomes, patients were divided into a favorable prognosis group and a poor prognosis group. Univariate analysis, least absolute shrinkage and selection operator regression, and binary Logistic regression were employed to screen predictive variables and develop a nomogram model. Internal validation was performed using the Bootstrap method. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve were drew to evaluate the predictive performance of the model.Results:The favorable prognosis group comprised 256 patients, including 57 females and 199 males, with an age of 61(54, 68) years. The poor prognosis group included 168 patients, with 55 females and 113 males, and an age of 66(58, 72) years. Binary Logistic regression identified age, sex, hyperlipidemia, NIHSS score at discharge, prognostic nutritional index, systemic inflammatory response index, and systemic immune-inflammation index as independent predictors of prognosis in ischemic stroke patients ( χ2 values were 4.52-56.18, all P<0.05). The prediction model demonstrated the area under the curve of ROC of 0.806 (95% CI 0.764-0.849), with an optimal cutoff value of 0.406, achieving specificity of 78% and sensitivity of 68%. The Hosmer-Lemeshow test yielded a non-significant P>0.05, and the calibration curve showed good agreement between predicted and observed outcomes, with a mean absolute error of 0.012. Decision curve analysis confirmed the clinical utility of the model across a wide range of threshold probabilities. Conclusions:The integrated prognostic model combining the prognostic nutritional index and inflammatory indicators demonstrated favorable discriminative ability, robust calibration, and substantial clinical utility. This risk stratification tool shows high applicability for predicting ischemic stroke outcomes, facilitating early identification of high-risk patients with poor prognosis and guiding personalized intervention strategies.

Objective:To analyze the predictive value of the prognostic nutritional index combined with inflammatory indicators for clinical outcomes in patients with ischemic stroke, providing a basis for targeted therapeutic interventions and nursing care for patients at potential risk of poor outcomes.Methods:This retrospective cohort study recruited 424 ischemic stroke patients admitted to the Stroke Center of the First Hospital of Jilin University from June 2021 to May 2024 by the convenience sampling method. Collect the general demographic data, routine laboratory examination results within 24 hours of admission, as well as the National Institutes of Health Stroke Scale (NIHSS) scores at admission and discharge of the patients. Based on 3-month functional outcomes, patients were divided into a favorable prognosis group and a poor prognosis group. Univariate analysis, least absolute shrinkage and selection operator regression, and binary Logistic regression were employed to screen predictive variables and develop a nomogram model. Internal validation was performed using the Bootstrap method. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve were drew to evaluate the predictive performance of the model.Results:The favorable prognosis group comprised 256 patients, including 57 females and 199 males, with an age of 61(54, 68) years. The poor prognosis group included 168 patients, with 55 females and 113 males, and an age of 66(58, 72) years. Binary Logistic regression identified age, sex, hyperlipidemia, NIHSS score at discharge, prognostic nutritional index, systemic inflammatory response index, and systemic immune-inflammation index as independent predictors of prognosis in ischemic stroke patients ( χ2 values were 4.52-56.18, all P<0.05). The prediction model demonstrated the area under the curve of ROC of 0.806 (95% CI 0.764-0.849), with an optimal cutoff value of 0.406, achieving specificity of 78% and sensitivity of 68%. The Hosmer-Lemeshow test yielded a non-significant P>0.05, and the calibration curve showed good agreement between predicted and observed outcomes, with a mean absolute error of 0.012. Decision curve analysis confirmed the clinical utility of the model across a wide range of threshold probabilities. Conclusions:The integrated prognostic model combining the prognostic nutritional index and inflammatory indicators demonstrated favorable discriminative ability, robust calibration, and substantial clinical utility. This risk stratification tool shows high applicability for predicting ischemic stroke outcomes, facilitating early identification of high-risk patients with poor prognosis and guiding personalized intervention strategies.

BACKGROUND:Due to the sudden release and the rapid removal by proteases,platelet-rich plasma hydrogel leads to shorter residence times of growth factors at the wound site.In recent years,researchers have focused on the use of hydrogels to encapsulate platelet-rich plasma in order to improve the deficiency of platelet-rich plasma hydrogels. OBJECTIVE:To prepare self-assembled polypeptide-platelet-rich plasma hydrogel and to explore its effects on the release of bioactive factors of platelet-rich plasma. METHODS:The self-assembled polypeptide was synthesized by the solid-phase synthesis method,and the solution was prepared by D-PBS.Hydrogels were prepared by mixing different volumes of polypeptide solutions with platelet-rich plasma and calcium chloride/thrombin solutions,so that the final mass fraction of polypeptides in the system was 0.1%,0.3%,and 0.5%,respectively.The hydrogel state was observed,and the release of growth factors in platelet-rich plasma was detected in vitro.The polypeptide self-assembly was stimulated by mixing 1%polypeptide solution with 1%human serum albumin solution,so that the final mass fraction of the polypeptide was 0.1%,0.3%,and 0.5%,respectively.The flow state of the liquid was observed,and the rheological mechanical properties of the self-assembled polypeptide were tested.The microstructure of polypeptide(mass fraction of 0.1%and 0.001%)-human serum albumin solution was observed by scanning electron microscope and transmission electron microscope. RESULTS AND CONCLUSION:(1)Hydrogels could be formed between different volumes of polypeptide solution and platelet-rich plasma.Compared with platelet-rich plasma hydrogels,0.1%and 0.3%polypeptide-platelet-rich plasma hydrogels could alleviate the sudden release of epidermal growth factor and vascular endothelial growth factor,and extend the release time to 48 hours.(2)After the addition of human serum albumin,the 0.1%polypeptide group still exhibited a flowing liquid,the 0.3%polypeptide group was semi-liquid,and the 0.5%polypeptide group stimulated self-assembly to form hydrogel.It was determined that human serum albumin in platelet-rich plasma could stimulate the self-assembly of polypeptides.With the increase of the mass fraction of the polypeptide,the higher the storage modulus of the self-assembled polypeptide,the easier it was to form glue.(3)Transmission electron microscopy exhibited that the polypeptide nanofibers were short and disordered before the addition of human serum albumin.After the addition of human serum albumin,the polypeptide nanofibers became significantly longer and cross-linked into bundles,forming a dense fiber network structure.Under a scanning electron microscope,the polypeptides displayed a disordered lamellar structure before adding human serum albumin.After the addition of human serum albumin,the polypeptides self-assembled into cross-linked and densely arranged porous structures.(4)In conclusion,the novel polypeptide can self-assemble triggered by platelet-rich plasma and the self-assembly effect can be accurately adjusted according to the ratio of human serum albumin to polypeptide.This polypeptide has a sustained release effect on the growth factors of platelet-rich plasma,which can be used as a new biomaterial for tissue repair.

Objective To investigate the role of RNA-binding motif protein X-linked(RBMX)in regulating the proliferation,migration,invasion and glycolysis in human bladder cancer cells.Methods A lentivirus vectors system and RNA interference technique were used to construct bladder cancer 1376 and UC-3 cell models with RBMX overexpression and knockdown,respectively,and successful cell modeling was verified using RT-qPCR and Western blotting.Proliferation and colony forming ability of the cells were evaluated using EdU assay and colony-forming assay,and cell migration and invasion abilities were determined using Transwell experiment.The expressions of glycolysis-related proteins M1 pyruvate kinase(PKM1)and M2 pyruvate kinase(PKM2)were detected using Western blotting.The effects of RBMX overexpression and knockdown on glycolysis in the bladder cancer cells were assessed using glucose and lactic acid detection kits.Results RT-qPCR and Western blotting confirmed successful construction of 1376 and UC-3 cell models with RBMX overexpression and knockdown.RBMX overexpression significantly inhibited the proliferation,clone formation,migration and invasion of bladder cancer cells,while RBMX knockdown produced the opposite effects.Western blotting results showed that RBMX overexpression increased the expression of PKM1 and decreased the expression of PKM2,while RBMX knockdown produced the opposite effects.Glucose consumption and lactate production levels were significantly lowered in the cells with RBMX overexpression(P<0.05)but increased significantly following RBMX knockdown(P<0.05).Conclusion RBMX overexpression inhibits bladder cancer progression and lowers glycolysis level in bladder cancer cells by downregulating PKM2 expression,suggesting the potential of RBMX as a molecular target for diagnosis and treatment of bladder cancer.

Objective To investigate the impact of iron overload on apoptosis in primary mouse liver cells via a synchronous separation technology.Methods Hepatocyte(HC),liver sinusoidal endothelial cell(LSEC),and Kupffer cell(KC)were isolated and purified with collagenase,percoll density gradient centrifugation,and CD146 magnetic beads.Cell types were identified using flow cytometry and immunofluorescence staining.Cells of different types were cultured in vitro,and an iron overload model was established by treating the mice with 0,25,50 and 100 μmol/L ferric ammonium citrate(FAC)for 24 h.The iron content was quantified using Prussian blue staining,while cell viability and mitochondrial membrane potential were assessed by flow cytometry.Results The synchronous separation technology of primary liver cells exhibited stable efficiency.The yield of HC was(4.0±0.5)×107 cells per mouse,exhibiting an effective survival rate of(76.33±0.67)％.The yield of LSEC was(5.0±1.0)×106 cells per mouse,with a survival rate of(93.63±0.25)％and a purity level of(93.40±0.46)％.The yield of KC was(1.5±0.5)×106 cells per mouse while a high survival rate of(98.33±0.12)％and a purity level of(88.30±2.02)％were maintained.The obtained cells were large in number,with good vitality and high purity,which could meet the requirements of subsequent experiments.Treatment with FAC significantly elevated iron contents in different types of cells when compared with the control group.Upon stimulation of FAC,the survival rate of HC decreased from(73.97±5.54)％to(54.10±1.68)％,the mean fluorescence intensity of JC-1 aggregates decreased from 326.33±30.37 to 155.00±6.56,JC-1 monomer increased from 1700.00±1 44.04 to 3713.33±81.82.The survival rate of LSEC decreased from(90.60±1.74)％to(78.03±2.15)％,the mean fluorescence intensity of JC-1 aggregates decreased from 502.33±5.51 to 372.33±4.04,and JC-1 monomer increased from 750.00±67.51 to 1340.00±36.39.The survival rate of KC decreased from(94.23±1.44)％to(88.37±1.56)％,the mean fluorescence intensity of JC-1 aggregates decreased from 652.67±25.66 to 478.00±12.49,and JC-1 monomer increased from 1984.33±80.65 to 3062.33±245.20.Conclusion A robust and reliable simultaneous isolation technique of primary mouse HC,LSEC,and KC has been established.Moreover,our finding demonstrates that iron overload significantly enhances apoptosis levels in HC,LSEC and KC.

Objective To investigate the role of RNA-binding motif protein X-linked(RBMX)in regulating the proliferation,migration,invasion and glycolysis in human bladder cancer cells.Methods A lentivirus vectors system and RNA interference technique were used to construct bladder cancer 1376 and UC-3 cell models with RBMX overexpression and knockdown,respectively,and successful cell modeling was verified using RT-qPCR and Western blotting.Proliferation and colony forming ability of the cells were evaluated using EdU assay and colony-forming assay,and cell migration and invasion abilities were determined using Transwell experiment.The expressions of glycolysis-related proteins M1 pyruvate kinase(PKM1)and M2 pyruvate kinase(PKM2)were detected using Western blotting.The effects of RBMX overexpression and knockdown on glycolysis in the bladder cancer cells were assessed using glucose and lactic acid detection kits.Results RT-qPCR and Western blotting confirmed successful construction of 1376 and UC-3 cell models with RBMX overexpression and knockdown.RBMX overexpression significantly inhibited the proliferation,clone formation,migration and invasion of bladder cancer cells,while RBMX knockdown produced the opposite effects.Western blotting results showed that RBMX overexpression increased the expression of PKM1 and decreased the expression of PKM2,while RBMX knockdown produced the opposite effects.Glucose consumption and lactate production levels were significantly lowered in the cells with RBMX overexpression(P<0.05)but increased significantly following RBMX knockdown(P<0.05).Conclusion RBMX overexpression inhibits bladder cancer progression and lowers glycolysis level in bladder cancer cells by downregulating PKM2 expression,suggesting the potential of RBMX as a molecular target for diagnosis and treatment of bladder cancer.

The medicinal history of Zanthoxyli Radix is long,and it is recorded in the Shen Nong Ben Cao Jing under the name of Manjiao.Modern pharmacological research has proven that Zanthoxyli Radix has anti-tumor,antibacterial,antioxidant,and hemostatic effects.This article reviewed the pharmacological effects of Zanthoxyli Radix based on its functional indications.Based on the basic requirements of TCM quality markers(Q-markers),this article predicted and analyzed the Q-markers of Zanthoxyli Radix from the perspectives of plant phylogeny and chemical component specificity,chemical component and pharmacological correlation,and chemical component testability.It is proposed to select alkaloids,flavonoids,and lignans as the Q-markers for the general classification of Zanthoxyli Radix.The candidate components for Q-marker were identified,including chloramphenicol,white croaker alkaloid,magnolian alkaloid,taro alkaloid,vanillin,hesperidin,L-sesamin and L-asarone,providing a reference for further research on the quality standards of Zanthoxyli Radix.

Objective:To compare the immediate effectiveness of elbow forearm support with that of a traditional shoulder sling in reducing glenohumeral subluxation (GHS) after a stroke.Methods:Eight stroke survivors with GHS were randomized to receive either 30 minutes of intervention of an elbow forearm support treatment or a traditional shoulder sling treatment twice within 24 hours. Their healthy and affected shoulders were X-rayed before and right after the treatment is ongoing as well as after the end of the 30 min of treatment. The vertical (VD) and horizontal (HD) distances from the lower edge of the acromion to the center of the humeral head were measured. The satisfaction of the patients and their relatives was surveyed.Results:The average VD and HD improved significantly more after wearing the elbow forearm support. Moreover, the patients and their relatives expressed greater satisfaction with the elbow forearm support.Conclusion:Either an elbow forearm support or a traditional shoulder sling will have an immediate effect in reducing shoulder subluxation, but the elbow forearm support is more effective and gives greater satisfaction.

Objective:To explore the effect of the developmental stages and quality on pregnancy outcome and birth outcome, and provide evidence for single blastocyst selection in frozen-thawed cycles.Methods:A retrospective cohort study analysis was performed on the data of patients with a total of 893 cycles who underwent single blastocyst transfer in frozen-thawed cycles in the Center for Reproductive Medicine, Qingyuan People's Hospital from January 2013 to June 2021. The cycles were divided into day 5 (D5) and day 6 (D6) groups according to the time of blastocyst formation. Then the two groups were divided into four subgroups according to the quality of blastocyst, namely, D5 good-quality embryo subgroup, D5 non-good-quality embryo subgroup, D6 good-quality embryo subgroup and D6 non-good-quality embryo subgroup. The general data, clinical outcomes and neonatal outcomes of each group were compared.Results:1) The clinical pregnancy rate [60.14% (332/552)], the implantation rate [60.14% (332/552)] and the live birth rate [47.64% (263/552)] in D5 group were significantly higher than those in D6 group [45.75% (156/341), 45.75% (156/341), 36.36% (124/341), all P<0.001], but there were no significant differences in body mass index, duration of infertility, intimal thickness of transplantation day and miscarriage rate between the two groups (all P>0.05). In addition, there were also no significant differences in birth weight, low birth weight rate, fetal macrosomia rate and male/female ratio (all P>0.05). 2) There were significant differences in clinical pregnancy rate [61.00% (294/482), 54.29% (38/70), 51.00% (127/249), 31.52% (29/92)] and live birth rate [48.96% (236/482), 38.57% (27/70), 41.37% (103/249), 22.83% (21/92)] among D5 good-quality embryo subgroup, D5 non-good-quality embryo subgroup, D6 good-quality embryo subgroup and D6 non-good-quality embryo subgroup (all P<0.001). D5 good-quality embryo subgroup had the highest clinical pregnancy rate and live birth rate, while D6 non-good-quality embryo subgroup had the lowest clinical pregnancy rate and live birth rate. There were also no significant differences in birth weight, fetal macrosomia rate and male/female ratio among the four subgroups (all P>0.05), while there was a significant difference in low birth weight rate [5.08% (12/236), 0 (0/27), 4.85% (5/103), 23.81% (5/21)] among the four subgroups ( P=0.014). 3) There were no significant differences in clinical pregnancy rate and live birth rate between D5 non-good-quality embryo subgroup and D6 good-quality embryo subgroup (all P>0.05). The clinical pregnancy rate and the live birth rate of 4BC in D5 were lower than those of 4AA, 4AB and 4BA in D6, while the miscarriage rate of 4BC in D5 was higher than that of 4AA, 4AB and 4BA in D6, but there were no significant differences (all P>0.05).The clinical pregnancy rate and the live birth rate of 4BC in D5 were higher than those of 4BB in D6, but there were no significant differences (all P>0.05). Conclusion:In the frozen-thawed cycle of single blastocyst transplantation, D5 good-quality blastocysts are preferred. When faced with D5 non-good-quality embryos and D6 good-quality embryos, the optimal choice was D6 4AA>D6 4BA>D6 4AB>D5 4BC>D6 4BB.