ObjectiveTo observe the effects of Dihuang Yinzi （DY） on motor dysfunction in rats with advanced Parkinson's disease （PD） and to investigate the mechanisms by which DY improves advanced PD symptoms through the "gut microbiota-short-chain fatty acids （SCFAs）-inflammation-neuroprotection pathway". MethodsAn advanced PD rat model was induced by rotenone. Rats were divided into a normal group， model group， positive drug group （levodopa， 50 mg·kg^-1）， and DY low-， medium-， and high-dose groups （5.2， 10.4， 20.8 g·kg^-1）. After 7 days of administration， motor function was evaluated using the open-field， pole-climbing， and inclined plate tests. Hematoxylin-eosin （HE） staining was used to observe pathological changes in the substantia nigra and colon， and immunohistochemistry was performed to detect α-Synuclein （α-Syn） and tyrosine hydroxylase （TH） expression in the substantia nigra. Enzyme-linked immunosorbent assay （ELISA） was used to measure levels of dopamine （DA）， 5-hydroxytryptamine （5-HT）， 3，4-dihydroxyphenylacetic acid （DOPAC）， Levodopa， homovanillic acid （HVA）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）. Western blot analysis was used to detect the expression of zonula occludens-1 （ZO-1） and occludin. Gut microbiota diversity was analyzed by 16S rRNA sequencing， and gas chromatography （GC） was used to determine the content of SCFAs in colonic contents. ResultsCompared with the normal group， the model group showed significantly decreased movement speed and distance in the open-field test， prolonged pole-climbing time， and reduced retention angle on the inclined plate （P<0.01）， accompanied by increased α-Syn expression （P<0.01） and decreased TH expression （P<0.01） in the brain. Compared with the model group， all DY dose groups improved motor dysfunction in advanced PD rats to varying degrees （P<0.05， P<0.01） and alleviated pathological damage in the brain and colon. High-dose DY significantly reduced α-Syn aggregation in the substantia nigra （P<0.01） and increased TH expression （P<0.01）. ELISA and Western blot results showed that， compared with the normal group， the model group exhibited decreased levels of DA， 5-HT， DOPAC， Levodopa， and HVA in the striatum （P<0.01）， increased levels of TNF-α， IL-6， and IL-1β in the colon and striatum （P<0.01）， and significantly reduced expression of ZO-1 （P<0.05） and occludin in the colon （P<0.01）. Compared with the model group， all DY dose groups increased the levels of DA， 5-HT， DOPAC， Levodopa， and HVA in the striatum to varying degrees （P<0.05， P<0.01）. In the high-dose DY group， the levels of TNF-α， IL-6， and IL-1β in the colon and striatum were reduced （P<0.01）， while the expression of ZO-1 （P<0.05） and occludin in the intestine was increased. The 16S rRNA sequencing results indicated that the relative abundances of Actinobacteriota， Enterobacteriaceae， and Erysipelotrichaceae were increased in the model group， whereas the relative abundances of Bacteroidota， class Clostridia， Lachnospiraceae， and Akkermansia muciniphila were decreased. These changes were effectively reversed after high-dose DY intervention. GC analysis showed that the content of SCFAs in the colonic contents of rats in the model group was decreased （P<0.05， P<0.01）， while after high-dose DY intervention， the levels of acetate， propionate， isobutyrate， and butyrate were significantly increased （P<0.05， P<0.01）. ConclusionDY may exert therapeutic effects in advanced PD by regulating the gut microbiota-SCFAs-inflammation pathway.

Diabetic kidney disease（DKD） is a chronic kidney structural and functional disorder caused by diabetes. With the global prevalence of diabetes continuing to rise， DKD has gradually become a major cause of chronic kidney disease and end-stage renal disease（ESRD）， posing a serious threat to patients' quality of life and long-term health outcomes. Studies have shown that apoptosis plays a pivotal role in the development and progression of DKD， with its mechanisms involving abnormal activation of multiple signaling pathways such as Toll-like receptor 4（TLR4）/nuclear transcription factor-κB（NF-κB）/B-cell lymphoma-2（Bcl-2）/cysteinyl aspartate-specific proteinase（Caspase）-3， protein kinase R-like endoplasmic reticulum kinase（PERK）/eukaryotic initiation factor 2α（eIF2α）/activating transcript factor 4（ATF4）/CCAAT enhancer-binding protein homologous protein（CHOP）， phosphatidylinositol 3-kinase（PI3K）/protein kinase B（Akt）/glycogen synthase kinase-3β（GSK-3β）， Janus kinase 2（JAK2）/signal transducer and activator of transcription 3（STAT3）， adenosine monophosphate-activated protein kinase（AMPK）/mammalian target of rapamycin（mTOR） and silent information regulator 1（SIRT1）/tumor suppressor protein 53（p53）， thereby accelerating renal pathological damage in DKD. Extensive evidence-based medical studies have confirmed that traditional Chinese medicine（TCM）， leveraging its unique therapeutic advantages of multi-target， multi-component and multi-pathway approaches， has demonstrated remarkable efficacy and favorable safety profiles in treating DKD. Recent studies have demonstrated that active components of TCM can specifically target and modulate key effectors in apoptotic signaling pathways. Meanwhile， traditional compound formulations exert synergistic effects through multiple approaches such as replenishing deficiency and activating blood circulation， detoxifying and dredging collaterals， tonifying kidney essence， and removing stasis and purging turbidity， thereby comprehensively regulating critical pathological processes including endoplasmic reticulum stress and mitochondrial apoptosis pathways. This combined therapeutic approach of molecular targeting and holistic regulation provides novel strategies for delaying the progression of DKD. Based on this， this paper provides an in-depth analysis of key apoptotic signaling pathways and their regulatory mechanisms， while systematically summarizing recent research advances regarding the therapeutic effects of TCM active components， compound formulations， and proprietary Chinese medicines on DKD through modulation of these pathways， with particular emphasis on their underlying molecular mechanisms. These findings not only elucidate the modern scientific connotation and theoretical basis of TCM in treating DKD but also establish a solid theoretical and practical foundation for promoting the wider clinical application and further research of TCM in the field of DKD treatment.

Objective To screen ferroptosis genes related to the prognosis of cervical cancer and to construct a prognosis model. Methods Ferroptosis genes were obtained from FerrDb database, and cervical cancer related data were obtained from The Genome-Wide Association Study Catalog database and The Cancer Genome Atlas database. Transcriptome-Wide Association Study, colocalization analysis and differential expression analysis were conducted to screen out candidate ferroptosis genes; Gene Ontology functional and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were conducted on candidate genes. Univariate Cox regression analysis was used to further screen out genes related to the prognosis of cervical cancer. Kaplan-Meier method was used to analyze the relationship between genes and the overall survival of patients. The expression levels of genes in pan-cancer were analyzed through the TIMER database. Two prognostic models were conducted, Model 1 included age and tumor stage, while Model 2 incorporated age, tumor stage, and prognostic genes. The predictive capabilities of the two models were compared. Results A total of 91 candidate genes related to ferroptosis were obtained. Univariate Cox regression analysis showed that 15 genes were associated with the prognosis of cervical cancer. CA9, SCD, TFRC, QSOX1 and CDO1 were risk factors affecting the prognosis of cervical cancer patients (P＜0.05), while PTPN6, ALOXE3, HELLS, IFNG, MIOX, ALOX12B, DUOX1, ALOX15, AQP3 and IDO1 were protective factors (P＜0.05). The mRNA expression levels of the 15 genes showed significant upregulation or downregulation in at least 7 types of cancers, among which TFRC was associated with the largest number of cancer types. Kaplan-Meier analysis showed that HELLS, DUOX1 and ALOXE3 were associated with poor prognosis in cervical cancer. The AUC of the model 1 for predicting 1-year and 3-year overall survival rates of cervical cancer patients was 0.455 and 0.478, and the AUC of Model 2 was 0.854 and 0.595. Model 2 (C-index = 0.727) had better predictive ability than Model 1 (C-index = 0.502). Conclusion The prognostic model composed of 15 prognostic-related genes selected based on bioinformatics has better predictive performance for the survival outcomes of cervical cancer patients, providing important reference value for the prognostic assessment of cervical cancer patients.

Lipid metabolism relates to tumor proliferation, progression, and immune escape. With the rapid development of immunotherapy, the relationship between immunotherapy and lipid metabolism has been constantly explored. On the one hand, immunotherapy can cause dyslipidemia and accelerate the progression of atherosclerosis, which has been neglected by clinicians. On the other hand, lipid metabolism can affect antitumor immunity at multiple levels and potentially influence the efficacy of immunotherapy. Lipid metabolism-regulating drugs also have the potential to synergize with immunotherapy. This review summarizes relevant research evidence to inspire further exploration.

ObjectiveTo observe the intervention effect of Fufang Kangjiaolv capsules on anxiety-like behaviors in the rat model of chronic restraint stress （CRS） and explore the mechanism underlying the anti-anxiety effect via the microbiota-gut-brain axis. MethodsRats were assigned into blank， model， positive drug （diazepam， 1 mg·kg^-1）， and low-， medium-， and high-dose （0.75， 1.5， 3 g·kg^-1， respectively） Fufang Kangjiaolv capsules groups. After 14 days of administration， the elevated plus maze test， open field test， light and dark box test， and marble burying test were performed. Hematoxylin-eosin staining was employed to observe the pathological changes in the hippocampus and colon of rats， and Nissl staining was conducted to observe the damage of hippocampal neurons. The gut microbiota was analyzed by 16S rRNA gene sequencing. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was employed to determine the mRNA levels of zonula occludens-1 （ZO-1） and occludin in the colon of rats. The levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） in the colon， serum， and hippocampus were determined by enzyme-linked immunosorbent assay. Western blot was employed to determine the protein levels of ZO-1， occludin， nuclear factor-κB p65 （NF-κB p65） in the colon tissue and NF-κB p65 and brain-derived neurotrophic factor （BDNF） in the hippocampal tissue. ResultsCompared with the blank group， the model group showed reductions in the time and frequency ratio of rats entering the elevated plus maze， the time and frequency of rats entering the central area of the open field， the time of entering the open box， the times of passing through the light and dark box， and the number of unburied beads （P<0.05， P<0.01）. Compared with the model group， Fufang Kangjiaolv capsules ameliorated the anxiety of the model rats to varying degrees， and the high-dose group had the best effect， with increases in the proportions of time and frequency of rats entering the open arm in the elevated plus maze （P<0.05）， the number of rats entering the central area in the open field （P<0.05）， the time of entering the open box， the times of passing through the light and dark boxes， and the number of unburied beads （P<0.01）. Moreover， the high-dose group showed alleviated pathological damage of hippocampal neurons and colon. The results of 16S rRNA gene sequencing showed that the model group had increased relative abundance of Firmicutes， Deferribacterota， Romboutsia， and Phascolarctobacterium， while it had decreased relative abundance of Bavcteroidota and Lactobacillus. The drug administration groups showed increased relative abundance of Bavcteroidota， Bacteroides， norank f norank o Clostridia UCG-014， and Blautia and decreased relative abundance of Firmicutes and Deferribacterota. Compared with the blank group， the model group showed down-regulated protein and mRNA levels of ZO-1 and occludin in the colon （P<0.01）， elevated levels of TNF-α， IL-6， and IL-β in the colon， serum， and hippocampus （P<0.01）， up-regulated protein level of NF-κB p65 in the colon and hippocampus （P<0.01）， and down-regulated protein level of BDNF in the hippocampus （P<0.05）. Compared with the model group， high-dose Fufang Kangjiaolv capsules up-regulated the mRNA levels of ZO-1 and occludin in the colon （P<0.01）， lowered the levels of TNF-α， IL-6， and IL-β in the colon， serum， and hippocampus （P<0.01）， up-regulated the protein levels of ZO-1 （P<0.01） and occludin （P<0.05） in the colon， down-regulated the protein level of NF-κB p65 in the colon and hippocampus （P<0.05）， and up-regulated the protein level of BDNF in the hippocampus. ConclusionFufang Kangjiaolv capsules can reduce the anxiety-like behaviors in the rat model of CRS by regulating the gut microbiota disturbance， up-regulating the expression of tight junction proteins in the colon， repairing intestinal mucosal mechanical barrier， and down-regulating NF-κB/BDNF signaling pathway， thereby reducing peripheral and central inflammation. This study proves the hypothesis that Fufang Kangjiaolv capsules play an anti-anxiety role via the microbiota-gut-brain axis， providing a new idea for further research.

Cholangiocarcinoma (CCA) is a fatal malignancy with steadily increasing incidence and poor prognosis. Since most CCA cases are diagnosed at an advanced stage, systemic therapies, including chemotherapy, radiotherapy, targeted therapy, and immunotherapy, play a crucial role in the management of unresectable CCA. The recent advances in targeted therapies and immunotherapies brought more options in the clinical management of unresectable CCA. This review depicts the advances of targeted therapies and immunotherapies for unresectable CCA, summarizes crucial clinical trials, and describes the efficacy and safety of different drugs, which may help further develop precision and individualization in the clinical treatment of unresectable CCA.
Humans ; Cholangiocarcinoma/drug therapy* ; Immunotherapy/methods* ; Bile Duct Neoplasms/drug therapy* ; Molecular Targeted Therapy/methods*

Objective:To investigate the influencing factors of green procurement for medical equipment,so as to provide theoretical basis and policy insights for promoting practices of green procurement for medical institutions.Methods:Based on literature review and expert interviews,a questionnaire about influencing factors of green procurement for medical equipment was formulated,which was used to conduct questionnaire survey for medical institutions of secondary and tertiary grades in Shandong province.The questionnaire included the measured indicators and basic information of medical institutions from four dimensions:pressure of external system(7 items),leadership support(4 items),organizational inertia(5 items),and collaboration degree of stakeholder(5 items).The Likert 5-level scale was adopted to conduct scoring of questionnaire,and the differences in various influencing factors between secondary grade hospital and tertiary grade hospital were compared and analyzed.Results:The scores of tertiary grade hospital were respectively 4.00(3.14,4.82),4.25(4.00,5.00),and 3.60(3.00,4.00)at pressure of external system,leadership support(4 items),organizational inertia(5 items)of three dimensions,and they were 3.86(3.11,4.14),4.00(3.75,5.00),and 3.20(2.80,3.80)at secondary grade hospital,and the differences of them between secondary grade hospital and tertiary grade hospital were significant(Z=-2.243,-2.654,-2.538,P<0.05).There was not significant difference at the dimension of collaboration degree of stakeholder between secondary and tertiary hospitals(P>0.05).Conclusion:A series of measures,such as adopting policy support with differentiation,establishing multi-level incentive mechanisms,reducing organizational change resistance,and improving multi-party coordination mechanisms,can further promote green procurement of medical institutions.

Objective:To explore the role of process management for continuous periheral insulin infusion (CPII) for controlling hyperglycemia during enteral nutrition (EN) for critically ill patients.Methods:A total of 75 patients who received continuous EN treatment in the emergency intensive care unit (EICU) of Qinghai Red Cross Hospital from January 2023 to January 2024 were selected in this historical controlled trial study. Patients who were admitted before the implementation of process management for CPII were included in the historical control group ( n=35), and those who were admitted after the implementation were included in the observation group ( n=40). Both groups were treated with continuous EN infusion combined with micropump-based insulin therapy, with the target blood glucose being<10 mmol/L. The blood glucose values at 4 hours and 8 hours after treatment, the time to reach the target blood glucose and the dosage of insulin, the total amount of insulin at 24 hours, the amount of calories administered when reaching the target blood glucose, the frequency of blood glucose measurement, the incidence of hypoglycemia and hypokalemia, the amount of potassium supplemented for hypokalemia, the length of EICU stay, and the incidence of nosocomial infection were compared between these two groups. Results:The blood glucose levels of the observation group at 4 hours and 8 hours after CPII were significantly lower than those of the control group (both P<0.001), and the time for the observation group to reach the target blood glucose level was significantly shorter than that for the control group ( P<0.001). The total amount of insulin in the observation group when reaching the target blood glucose and the total amount of insulin used within 24 hours were significantly smaller than those in the control group (both P<0.05). The amount of calories administered to the observation group when reaching the target blood glucose level was significantly higher than that of the control group ( P=0.002). The number of blood glucose measurements within 24 hours after insulin initiation in the observation group was significantly larger than that in the control group ( P=0.042), but there was no statistically significant difference in the total number of monitoring during EICU stay ( P=0.561). The incidence rates of hypoglycemia and hypokalemia and the amount of potassium supplemented for hypokalemia in the observation group were significantly lower than those in the control group (all P<0.05). There was no statistically significant difference in the length of EICU stay and the incidence of nosocomial infection between the two groups (both P>0.05). Conclusions:Process management for CPII in critically ill patients promotes rapid glycemic control during enteral nutrition (EN), reduces hypoglycemia, hypokalemia, and nosocomial infections, and improves overall blood glucose stability. It is vital for controlling stress hyperglycemia during EN in critical illness, with excellent safety.

Objective:To summarize the best evidence for oral nutrition management of patients with inflammatory bowel disease (IBD) and to evaluate its effectiveness.Methods:From May 2023 to March 2024, IBD patients, the medical and nursing staff in the Department of Proctology, Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Traditional Chinese Medicine, were selected as study subjects using convenience sampling method. Evidence-based nursing was used to summarize the best evidence for oral nutrition management of IBD patients, formulate review indicators, develop best evidence-based practice programs for clinical application through status review and barrier factor analysis. Effectiveness was evaluated at the system level, medical and nursing staff level, and patient level.Results:After evidence-based practice, a multidisciplinary management team and management system for oral nutrition was established at the system level. At the medical and nursing staff level, the oral nutrition knowledge score increased from [50.00 (40.00, 60.00) ] to [100.00 (85.00, 100.00) ], with a statistically significant difference ( P<0.01), and the implementation rate of the three review indicators improved from 0 to 100.00%. At the patient level, oral nutrition knowledge and attitude scores improved from [10.00 (8.00, 12.00) ] and [35.00 (31.00, 40.00) ] to [16.00 (16.00, 16.00) ] and [48.00 (45.00, 48.00) ], respectively, with statistically significant differences ( P<0.01), and the implementation rate of each of the review indicators rose above 80.00% except for indicator 6. The patients' nutrition indicators, including body mass index, waist circumference, left upper arm midpoint circumference and left hand grip strength were improved, and the difference was statistically significant ( P<0.05) . Conclusions:The implementation of evidence-based practice programs can improve the standardization of clinical work of healthcare professionals, enhance patients' nutrition knowledge and attitude, and promote their rational dietary behaviors, thus improving their nutrition status and quality of life.

Objective To address the personalized differences in motion gait between stroke patients and healthy older adults,as well as the issue of abnormal gait recognition,a deep learning fusion-based approach is proposed to effectively improve the accuracy of abnormal gait recognition.Methods A model fusing convolutional neural networks(CNN)and bidirectional long short-term memory networks(BiLSTM)was adopted,with the introduction of a residual network(ResNet).Unilateral ankle joint movement data at different walking speeds within a comfortable range were collected from healthy older adults and stroke patients.Signals from inertial sensors and electromyography sensors were used as inputs,while gait features were analyzed and gait differences between the two groups were compared.The effectiveness of the model was validated by comparing the classification performance of traditional deep learning models and CNN-ResNet-BiLSTM models with different layer combinations in terms of abnormal gait recognition accuracy.Results The CNN-ResNet-BiLSTM model,which introduced residual connectivity,performed excellently in abnormal gait recognition.Compared with traditional deep learning models such as the gated recurrent unit(GRU)and long short-term memory network(LSTM),its prediction accuracy was improved by 13.6％and 8.36％,respectively.Additionally,compared with other model combinations,this model achieved an overall accuracy of 97.78％.Conclusions The algorithm proposed in this study can be applied to stroke-related abnormal gait detection,providing technique support for the early diagnosis and precise monitoring of such diseases.