ObjectiveTo analyze the policy texts regarding the inclusion of 44 assisted reproductive medical service projects into basic medical insurance in China and to provide recommendations for the formulation and improvement of subsequent policies. MethodsMethods such as textual analysis， qualitative research， and descriptive statistics were employed. Based on the theory of policy instruments， a two-dimensional analytical framework integrating policy instruments with policy objectives was constructed to systematically examine the current status and existing issues in the inclusion of assisted reproductive medical service projects in basic medical insurance. ResultsDemand-based and environment-based policy instruments were more frequently utilized， accounting for 42.11% and 37.89%， respectively. Supply-based policy instruments accounted for only 20.00%， indicating limited use. In terms of policy objectives， standardized service management constituted the largest proportion （27.65%）， whereas integrating service resources accounted for the smallest share （10.00%）， showing an imbalanced and insufficient utilization of policy instruments. ConclusionTo better advance and implement the inclusion of assisted reproductive medical service projects in basic medical insurance and foster the construction of a fertility-friendly society， it is essential to strengthen the use of supply-based policy instruments， promote internal structural balance， expand the medical insurance catalog of assisted reproductive technologies， increase reimbursement rates， intensify publicity efforts， formulate scientific planning， establish rigorous qualification evaluations， enhance the synergy of policy instruments， and optimize the structure of policy instruments.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

Objective To investigate the role of poly(rC)-binding protein 1(PCBP1)in cadmium(Cd)-induced ferroptosis in mouse neuroblastoma Neuro-2a(N2A)cells.Methods N2A cells were exposed to a concentration gradient of CdCl?(0,1,2,4 μmol/L)for 72 h.Cell viability was assessed by trypan blue staining.Western blotting was employed to detect the expression of ferroptosis-related proteins(GPX4,HMOX1,ACSL4)and PCBP1.Intracellular Fe2? level and lipid peroxidation were detected using FerroOrange and BODIPY581/591 C11 probes,respectively.Ferrostatin-1(Fer-1),a ferroptosis inhibitor,was applied to confirm the critical role of ferroptosis in Cd-induced cytotoxicity.Molecular docking was performed to elucidate the interaction between PCBP1 and ferritin,as well as the binding sites of Cd2?.PCBP1 overexpression plasmid was further constructed for functional validation.Results Cd exposure suppressed cell viability in N2A cells in a dose-dependent manner(P<0.01),significantly down-regulated GPX4 expression(P<0.05),up-regulated HMOX1 expression(P<0.01),and induced Fe2? overload and lipid peroxidation(P<0.01).Molecular docking revealed that Cd2? directly bound to the KH2 domain of PCBP1 and then co-localized on the outer surface of ferritin heavy chain.Overexpression of PCBP1 markedly reversed Cd-induced Fe2? accumulation,GPX4 down-regulation,lipid peroxidation,and cell death.Conclusion Cd exposure disrupts PCBP1-mediated iron homeostasis via transcriptional suppression and competitive displacement of metal ions,and then synergistically drives Fe2? overload-triggered ferroptosis cascades,ultimately leading to neurotoxicity.Targeting PCBP1-mediated iron homeostasis can effectively mitigate Cd-induced neurotoxicity,and may serve as a novel therapeutic strategy.

Radiation-induced intestinal injury is caused by high dose of radiation in the abdomen and pelvis. The disease is characterized by complicated pathological mechanisms and poses significant challenges to clinical treatment, seriously affecting the quality of life and health of patients. Current treatments in modern medicine offer limited efficacy and are often associated with adverse side effects. Traditional Chinese medicine monomers inhibit inflammatory factors (e.g., tumor necrosis factor-α and interleukin-1β) and regulate the antioxidant enzyme system (e.g., improving the activity of superoxide dismutase) to effectively reduce the symptoms of radiation-induced intestinal injury with minimal side effects. Through targeted delivery of nanoparticles, nanotechnology can accurately deliver the active ingredients of traditional Chinese medicine to damaged intestinal tissues, thus improving their bioavailability and therapeutic effects. This paper reviews the mechanisms of Chinese medicine monomers in the prevention and treatment of radiation-induced intestinal injury and the application of nanotechnology for enhanced efficiency. The paper also discusses the clinical potential of these approaches. These results provide a reference for future research and clinical practice.

Objective To investigate the risk factors associated with recurrence of high-grade non-functioning pituitary neuroendocrine tumors(NF-PitNETs)following total resection.Methods A retrospective study was conducted on the clinical data of 252 patients with high-grade NF-PitNETs who underwent surgical treatment at the Department of Neurosurgery,Beijing Tiantan Hospital from January 2012 to December 2023,and met the inclusion criteria.High-grade NF-PitNETs included Knosp 3A,3B,and 4-grade subtypes.Kaplan-Meier curves and Log-rank tests were employed to compare the progression-free survival(PFS)of Knosp 3A,3B,and 4-grade patients.Cox regression analysis was applied to identify the risk factors associated with the recurrence of high-grade NF-PitNETs.Receiver operating characteristic(ROC)curve was used to calculate the area under the curve(AUC)of each recurrence-related factor to evaluate the diagnostic efficiency.Results Survival analysis revealed that there were significant differences in PFS among Knosp 3A,3B,and 4-grade patients(P<0.001).The PFS of Knosp 3A was significantly better than that of grade 3B and 4-grade(P<0.05),while there was no significant difference between Knosp 3B and 4-grade(P=0.118).After integrating the three groups into Knosp 3A group and 3B-4 group,there were significant differences in PFS and some clinical features between the two groups(P<0.05).Cox regression analysis indicated that age<55 years old(HR=2.883,95%CI 1.253-6.634;P=0.013),T2 heterogeneous signal(HR=1.842,95%CI 1.061-3.197;P=0.030),Knosp 3B-4(HR=2.190,95%CI 1.069-4.488;P=0.032),and Ki-67≥3%(HR=2.266,95%CI 1.265-4.061;P=0.006)were risk factors related to tumor recurrence.ROC curve analysis showed that the AUCs of the above-mentioned risk factors were 0.682,0.706,0.709 and 0.750,respectively,and the AUC of the multi-factor combined model(age+T2 signal+Knosp grade+Ki-67)was 0.838,which was significantly larger than that of each single risk factor(P<0.05).Conclusion High-grade NF-PitNETs patients with age<55 years old,T2 heterogeneous signal,Knosp 3B-4 and Ki-67≥3%have a higher recurrence risk.The combined application of multiple risk factors can improve the predictive value of recurrence.

Objective This study aimed to investigate natural infection of rodents with Ehrlichia and Neoehrlichia at major Chinese land-border ports along the"Belt and Road".Methods In 2022,rodents were monitored in 10 ports in northern and southern China and identified based on diagnostic morphological characteristics.The 16S rRNA genes of Ehrlichia and Neoehrlichia were detected by PCR using universal primers from rodent samples and phylogenetic analysis was performed based on the sequences of the detected positive pathogens.Results A total of 356 rodents were sampled,including 2 orders,5 families,15 genera,and 20 species.Predominantly,73,61,56,and 58 were Meriones unguiculatus(20.51%),Rattus norvegicus(17.13%),Apodemus agrarius(15.73%),and Microtus gregalis(16.29%).Only one Microtus fortis from Suifenghe Port was infected with Ehrlichia sp.Moreover,12 rodents were infected with Neoehrlichia spp.(overall positivity rate:3.37%).Conclusions Natural infections with Ehrlichia spp.and Neoehrlichia spp.were demonstrated in rodents at important Chinese land-border ports.The positivity rate of Neoehrlichia spp.was high in some ports,indicating that surveillance for ticks and their prevention and control measures should be intensified in these regions.

Objective To integrate the Timing It Right(TIR)framework with Phase Ⅰ Cardiac Rehabilitation(CR)strategies to develop a staged,individualized rehabilitation protocol for patients after Transcatheter Aortic Valve Replacement(TAVR)and verify its clinical effectiveness.Methods A quasi-experimental study design was employed.A total of 128 TAVR patients admitted to Kunming Yan'an Hospital between January 2023 and December 2024 were selected as participants and randomly assigned via a random number table to either an intervention group(n=64)or a control group(n=64).The control group received routine care,while the intervention group received TIR theory-based Phase Ⅰ cardiac rehabilitation nursing care in addition to routine care.This intervention was implemented across three stages:diagnostic,perioperative,and discharge preparation period.Comparisons were made between the two groups regarding Left Ventricular Ejection Fraction(LVEF),the 6-Minute Walk Test(6MWT)distance,the incidence of Major Adverse Cardiac and Cerebrovascular Events(MACCE),scores across all domains of the China Questionnaire of Quality of Life in patients with Cardiovascular Diseases(CQQC),and patient satisfaction before and after the intervention.Results After the intervention,the intervention group demonstrated significantly higher LVEF and 6MWT results at both discharge and 3 months postoperatively compared to the control group(P<0.05).The incidence of MACCE was significantly lower in the intervention group(4.84％)than in the control group(13.33％).Scores across all CQQC domains and patient satisfaction were significantly superior in the intervention group than in the control group(P<0.05).Furthermore,The length of ICU stay and total hospitalization duration were significantly shorter in the intervention group compared to the control group(P<0.05).Conclusion Phase I cardiac rehabilitation nursing care based on the Timing It Right theory effectively improves cardiac function and exercise tolerance in TAVR patients,reduces the risk of MACCE.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.