This study focuses on the core pathology of sinew wei （痿）， which is mainly characterized by the fai-lure of qi and blood to nourish the sinews. A mechanical-biological response framework is constructed with mitochondria as a key component， explaining the modern interpretation of the disease location of sinew transmitting to qi and blood pathology. Mechanical loading， as a physical stress stimulus applied to the body， manifests primarily as passive loading formed by external forces such as massage， and active loading resulting from voluntary muscle contractions， such as dao yin （导引）. Mechanical loading can regulate mitochondrial function through two pathways， mechanical signal transduction and metabolic demand-driven regulation. Skeletal muscle mitochondrial dysfunction is regarded as the core microscopic basis of qi imbalance in sinew wei， highlighting the intrinsic connection between qi and mitochondrial energy metabolism， as well as between blood and microcirculatory efficiency. Accordingly， distinct regulatory patterns of mechanical loading are identified. Wei associated with qi stagnation may correspond to mitochondrial network fragmentation and can be treated by regulating qi through passive loading， such as tuina， to restore mitochondrial dynamics. In contrast， wei caused by qi deficiency is attributed to insufficient mitochondrial biogenesis and may be treated by tonifying qi through active loading， such as dao yin， to promote mitochondrial biogenesis. This framework reveals the biological differences in mitochondrial regulation induced by distinct mechanical loading modalities and provides a microscopic mechanism-based explanation for the principle of "treating the same disease with different methods" in sinew wei.

Objective:To investigate the effect of Xuebijing injection against blood-brain barrier(BBB)damage in the mice with anti-N-methyl-D-aspartate receptor(NMDAR)encephalitis,and to elucidate its regulatory effect on the imbalance of helper T cells 17(Th17)/regulatory T cells(Treg).Methods:The active immunization models of anti-NMDAR encephalitis in the mice were established using glutamate receptor N1 subunit(GluN1)356-385 antigen peptide,and the serum anti-NMDAR immunoglobulin G(IgG)antibody levels were detected by enzyme-linked immunosorbent assay(ELISA).The healthy mice without modeling were served as control group,and the mice with successful modeling were randomly divided into model group,low dose of Xuebijing injection(XBJ-L)group,and high dose of Xuebijing injection(XBJ-H)group,with 10 mice in each group.After modeling,the mice in XBJ-L and XBJ-H groups were intraperitoneally injected with 5 and 10 mL·kg-1 Xuebijing injection,respectively.The Longa score was used to assess the neurological impairment of the mice in various groups;evans blue(EB)staining was used to determine the BBB permeability;immunofluorescence staining was used to detect the expressions of zonula occludens 1(ZO-1)and Occludin in cerebral cortex of the mice in various groups;Western blotting method was used to determine the expression levels of ZO-1,Occludin,Claudin-5,and neuron-specific nuclear protein(NeuN)in cerebral cortex of the mice in various groups;ELISA method was used to determine the levels of Th17-and Treg-related cytokines including interleukin(IL)-17,IL-22,and IL-10 in serum of the mice;flow cytometry was used to determine the percentages of Th17 and Treg cells in peripheral blood of the mice in various groups,and the Th17/Treg ratio was calculated.Results:The serum of the mice induced with the GluN1 356-385 antigen peptide was positive for NMDAR IgG antibodies,indicating that the models were successfully established.Compared with control group,the neurological impairment score of the mice in model group was significantly increased(P＜0.05),and the EB level in brain tissue was significantly increased(P＜0.05);the fluorescence staining intensities of ZO-1 and Occludin in the cerebral cortex were decreased,and the expression levels of ZO-1,Occludin,Claudin-5,and NeuN proteins in the cerebral cortex were significantly decreased(P＜0.05);the serum levels of IL-17 and IL-22 were significantly increased(P＜0.05),while the IL-10 level was significantly decreased(P＜0.05);the percentage of Th17 cells in peripheral blood was significantly increased(P＜0.05),while the percentage of Treg cells was significantly decreased(P＜0.05),and the Th17/Treg ratio was significantly increased(P＜0.05).Compared with model group,the neurological impairment scores of the mice in XBJ-L and XBJ-H groups were significantly decreased(P＜0.05),the EB levels in brain tissue were significantly decreased(P＜0.05),the fluorescence staining intensities of ZO-1 and Occludin in cerebral cortex were increased,and the expression levels of ZO-1,Occludin,Claudin-5,and NeuN proteins were significantly increased(P＜0.05);the levels of IL-17 and IL-22 in serum were significantly decreased(P＜0.05),and the level of IL-10 was significantly increased(P＜0.05);the percentages of Th17 cells in peripheral blood were significantly decreased(P＜0.05),the percentages of Treg cells were significantly increased(P＜0.05),and the Th17/Treg ratios were significantly decreased(P＜0.05).Compared with XBJ-L group,the neurological function injury score of the mice in XBJ-H group was significantly decreased(P＜0.05),the EB level in brain tissue was significantly decreased(P＜0.05);the fluorescence staining intensities of ZO-1 and Occludin in the cerebral cortex were increased,and the expression levels of ZO-1,Occludin,Claudin-5,and NeuN proteins were significantly increased(P＜0.05);the serum levels of IL-17 and IL-22 were significantly decreased(P＜0.05),and the level of IL-10 was significantly increased(P＜0.05);the percentage of Th17 cells in peripheral blood was significantly decreased(P＜0.05),the percentage of Treg cells was significantly increased(P＜0.05),and the Th17/Treg ratio was significantly decreased(P＜0.05).Conclusion:Xuebijing injection can improve BBB injury,regulate Th17/Treg balance,and thereby alleviate the neurological functional damage in anti-NMDAR encephalitis.

Objective:To investigate the prognostic value of serum chloride ion concentration in critically ill or clinically stable pa-tients with decompensated cirrhosis.Methods:A retrospective study was conducted among the patients with decompensated cirrhosis who attended the intensive care unit(ICU)and Department of Gastroenterology,The First Hospital of Lanzhou University,from Janu-ary 2017 to January 2022,and the patients were divided into ICU cohort and Gastroenterology cohort.The outcome event for the ICU cohort was in-hospital death.A logistic regression analysis was used to investigate the association between serum chloride levels and ICU mortality rate;the receiver operating characteristic(ROC)curve was plotted and the area under the ROC curve(AUC)was calcu-lated to assess the value of blood chloride level in predicting ICU mortality rate.The patients in the Gastroenterology cohort were fol-lowed up with the outcome event of all-cause mortality rate,and the Cox regression analysis and the Kaplan-Meier analysis were used to investigate the value of blood chloride level in predicting mortality rate.Results:In the ICU cohort,serum chloride ion was signifi-cantly associated with in-hospital mortality in the ICU(odds ratio=0.934,95%CI=0.871-0.993,P=0.035),and blood chlorine had an AUC of 0.687 in predicting in-hospital mortality in the ICU.In the Gastroenterology cohort,serum chloride ion concentration was sig-nificantly associated with mortality rate in the subgroup with a Child-Pugh score of<10(hazard ratio=0.906,95%CI=0.822-0.997,P=0.043),and hypochloremia was associated with a lower survival rate.Conclusion:Hypochloremia is associated with the increase in mortality rate in patients with decompensated cirrhosis.

Lidocaine,as an amide local anesthetic,is widely used in cancer patients in the perioperative period.This article summa-rizes the effect of lidocaine on cell proliferation,invasion,and metastasis of common tumors in clinical practice based on both basic and clinical studies,including breast cancer,gastric cancer,colon cancer,and lung cancer,and it also reviews the clinical application of li-docaine in the perioperative treatment of patients with these four types of cancer.It is necessary to explore the mechanism of action of li-docaine in various types of cancer,develop individualized administration regimens based on the treatment characteristics of different tu-mors,and optimize perioperative treatment strategies for cancer patients through novel formulations,which may provide a theoretical ba-sis for lidocaine in assisting tumor therapy in the perioperative period.

Nanomaterials(Ce-CS)with oxidase-like properties were synthesized in one step using L-cystine(CS)and ammonium cerium nitrate(CAN)as raw materials for detection of acetaminophen(APAP).The morphology,structure and elements composition of Ce-CS were characterized by scanning electron microscopy(SEM),energy dispersive X-ray spectroscopy(EDS),nitrogen adsorption specific surface area analysis(BET),X-ray diffraction(XRD),infrared spectroscopy(IR)and X-ray photoelectron spectroscopy(XPS).The Ce-CS with peroxidase-like activity could catalyze the oxidation of colorless 3,3′,5,5′-tetramethylbenzidine(TMB)into blue oxided TMB(oxTMB),which had a significant absorption peak at 652 nm.Under the optimal catalytic conditions,i.e.,reaction temperature of 25℃(room temperature),pH=4.0,Ce-CS concentration of 1 mg/mL,and reaction time of 10 min,the catalytic mechanism and kinetics of Ce-CS were studied.When APAP existed in the reaction system,it could inhibit the peroxidase-like activity of Ce-CS,reduced the absorbance at 652 nm(A652),and the absorbance difference at 652 nm(ΔA652)had a good linear relationship with concentration of APAP in the range of 50-2000 μmol/L(R2=0.996),with a detection limit(S/N=3)of 0.1 μmol/L.This method was applied to detection of APAP in oral liquid and river water samples,with recoveries of 98.0%-102.0%,demonstrating the potential of Ce-CS as an oxidase substitute in drug analysis and environmental monitoring.

Colorimetric analysis is a detection and quantification method based on observable color changes in response to analytes,which offers significant advantages including visually detectable signals,straightforward operation,rapid response,and low cost.Consequently,it plays a crucial role in a variety of fields.With increasingly diverse and complex application,colorimetric analysis requires continuous improvement in sensitivity,adaptability to diverse detection environments,and complex data handling capabilities.In recent years,the development of artificial intelligence technology,particularly within its core domain of machine learning(ML),has led to significant advancements in colorimetric analysis.The ML-assisted colorimetric analysis enables high-throughput and high-sensitivity detection,alongside automated analysis,thereby providing novel strategies to overcome the inherent limitations.This review categorized machine learning techniques and summarized their application in colorimetric analysis,introducing two fundamental categories of supervised learning,and unsupervised learning based on the division of core learning paradigms.The research progress of ML-assisted colorimetric analysis in the fields of environmental monitoring,biochemical detection,and food safety were summarized.Finally,the current challenges facing by this research area were analyzed and the research prospect of ML-assisted colorimetric analysis was outlined.

OBJECTIVE: To develop a digital intelligent multimodal shift handover system for the intensive care unit (ICU) and evaluate its application effect in ICU shift handovers. METHODS: A research and development team was established, consisting of 1 department director, 1 head nurse, 3 information technology engineers, 3 nurses, and 2 doctors. Team members were assigned responsibilities including overall coordination and planning, platform design and maintenance, pre-application training, collection and organization of clinical feedback, and research investigation respectively. A digital intelligent multimodal shift handover system was developed for ICU based on the Shannon-Weaver linear transmission model. This innovative system integrated automated data collection, intelligent dynamic monitoring, multidimensional condition analysis and visual reporting functions. A cloud platform was used to gather data from multi-parameter vital signs monitors, infusion pumps, ventilators and other devices. Artificial intelligence algorithms were employed to standardize and analyze the data, providing personalized recommendations for healthcare professionals. A self-controlled before-after method was adopted. Before the application of the ICU digital intelligent multimodal shift handover system (from December 2023 to March 2024), the traditional verbal bedside handover was used; from June 2024 to March 2025, the ICU digital intelligent multimodal shift handover system was applied for shift handovers. Questionnaires before the application of the shift handover system were collected in April 2024, and those after the application were collected in April 2025. The shift handover time, handover quality (scored by the nursing handover evaluation scale), satisfaction with doctor-nurse communication (scored by the ICU doctor-nurse scale) before and after the application of the handover system were compared, and nurses' satisfaction with the shift handover system (scored by the clinical nursing information system effectiveness evaluation scale) was investigated. RESULTS: After the application of the ICU digital intelligent multimodal shift handover system, the shift handover time was significantly shorter than that before the application [minutes: 20 (15, 25) vs. 30 (22, 40)], the handover quality was significantly higher than that before the application [score: 84.0 (78.0, 88.5) vs. 71.0 (55.0, 79.0)], and the satisfaction with doctor-nurse communication was also significantly higher than that before the application (score: 84.58±6.79 vs. 74.50±11.30). All differences were statistically significant (all P < 0.05). In addition, the nurses' system effectiveness evaluation scale score was 102.30±10.56, which indicated that nurses had a very high level of satisfaction with the ICU digital intelligent multimodal shift handover system. CONCLUSIONS The application of the ICU digital intelligent multimodal shift handover system can shorten the shift handover time, improve the handover quality, and enhance the satisfaction with doctor-nurse communication. Nurses have a high level of satisfaction with this system.
Intensive Care Units ; Humans ; Patient Handoff ; Artificial Intelligence ; Algorithms

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

OBJECTIVE: To reveal the effects and potential mechanisms by which synaptic vesicle glycoprotein 2A (SV2A) influences the distribution of amyloid precursor protein (APP) in the trans-Golgi network (TGN), endolysosomal system, and cell membranes and to reveal the effects of SV2A on APP amyloid degradation. METHODS: Colocalization analysis of APP with specific tagged proteins in the TGN, ensolysosomal system, and cell membrane was performed to explore the effects of SV2A on the intracellular transport of APP. APP, β-site amyloid precursor protein cleaving enzyme 1 (BACE1) expressions, and APP cleavage products levels were investigated to observe the effects of SV2A on APP amyloidogenic processing. RESULTS: APP localization was reduced in the TGN, early endosomes, late endosomes, and lysosomes, whereas it was increased in the recycling endosomes and cell membrane of SV2A-overexpressed neurons. Moreover, Arl5b (ADP-ribosylation factor 5b), a protein responsible for transporting APP from the TGN to early endosomes, was upregulated by SV2A. SV2A overexpression also decreased APP transport from the cell membrane to early endosomes by downregulating APP endocytosis. In addition, products of APP amyloid degradation, including sAPPβ, Aβ _1-42, and Aβ _1-40, were decreased in SV2A-overexpressed cells. CONCLUSION These results demonstrated that SV2A promotes APP transport from the TGN to early endosomes by upregulating Arl5b and promoting APP transport from early endosomes to recycling endosomes-cell membrane pathway, which slows APP amyloid degradation.
Amyloid beta-Protein Precursor/genetics* ; Membrane Glycoproteins/genetics* ; Animals ; Protein Transport ; Nerve Tissue Proteins/genetics* ; Humans ; Mice ; Endosomes/metabolism* ; trans-Golgi Network/metabolism*

Background: Atopic dermatitis (AD) is a common skin disease with a wide range of symptoms. Due to the rapidly changing treatment landscape, regular updates to clinical guidelines are needed. Objective: This study aimed to update the guidelines for the treatment of AD to reflect recent therapeutic advances and evidence-based recommendations. Methods: The Patient characteristics, type of Intervention, Control, and Outcome framework was used to determine 48 questions related to AD management. Evidence was graded, recommendations were determined, and, after 2 voting rounds among the Korean Atopic Dermatitis Association (KADA) council members, consensus was achieved. Results: This guideline provides treatment guidance on advanced systemic treatment modalities for AD. In particular, the guideline offers up-to-date treatment recommendations for biologics and Janus-kinase inhibitors used in the treatment of patients with moderate to severe AD.It also provides guidance on other therapies for AD, along with tailored recommendations for children, adolescents, the elderly, and pregnant or breastfeeding women. Conclusion KADA’s updated AD treatment guidelines incorporate the latest evidence and expert opinion to provide a comprehensive approach to AD treatment. The guidelines will help clinicians optimize patient-specific therapies.