Objective To evaluate the ability of longitudinal changes in urinary extracellular domain of neurotrophin receptor p75(p75ECD)to serve as a prognostic biomarker of severity,progression and survival time in patients with amyotrophic lateral sclerosis(ALS).Methods Forty patients with ALS attended follow-up appointments at 3-to 6-month interval,and 51 healthy control(HC)volunteers were recruited.The concentrations of urinary p75ECD were tested by a sandwich ELISA.The ALSFRS-r was used to quantify the severity of ALS.The change rate of urinary p75ECD(Δp75ECD)was calculated as the average monthly change during the period between the first and the last sampling.Results The concentration of urinary p75ECD was higher at the last follow-up than at baseline(P=0.002 3).Spearman analysis showed that there was a negative correlation between urinary p75ECD and ALSFRS-r score(r=-0.35,P=0.001 3);the course of ALS in the fast-changing Δp75ECD group was shorter than that in the slow-changing group(P=0.015 8);the Δp75ECD and course of ALS showed a negative correlation(r=-0.39,P=0.014),and the Δp75ECD in the fast-progression ALS group was significantly higher than in the slow-progression group(P=0.001 6).There was a positive correlation between Δp75ECD and progression in ALS patients(r=0.34,P=0.005).Kaplan-Meier survival analysis showed a longer median survival time in those with slow-changing Δp75ECD(P=0.03).Conclusion The change rate of urinary p75ECD has shown great potential as a biomarker for the prognosis of the severity,progression and survival time of ALS.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective:Through the meta-analysis of activation likelihood estimation (ALE), the functional magnetic resonance imaging research evidence of acupuncture in the treatment of depression was systematically integrated to analyze the effect of acupuncture on brain activity in patients with depression and systematically reveal its potential neural mechanism.Methods:The literatures which used functional magnetic resonance imaging to explore brain image changes of patients with depression after receiving acupuncture intervention were retrieved from CNKI, VIP database, Wanfang database, PubMed, Embase, EBSCO host MEDLINE and Web of Science database. The retrieval time is from the establishment of the database to March 2025. Data processing was performed using the ALE method by the Ginger ALE 2.3 software. The coordinates of the subjects included in the study were extracted, and the brain regions with abnormal spontaneous brain activity in patients with depression were integrated and analyzed.Results:A total of 28 articles involving 770 subjects were included. Depressed patients receiving acupuncture exhibited increased brain activity in the bilateral medial frontal gyrus and bilateral anterior cingulate cortex. Exploratory analysis revealed that depressed patients receiving acupuncture exhibited reduced activation in the left posterior cerebellar lobe (MNI: x, y, z = -6, -68, -21; x, y, z = -9, -81, -9) compared to healthy controls (voxel sum=5 824 mm 3,P<0.05). Conclusion:Patients with depression who received acupuncture intervention exhibited relatively consistent activation in brain regions compared to depressed patients who did not receive acupuncture and healthy individuals. Compared to healthy individuals, patients with depression who received acupuncture showed reduced activation in the left posterior cerebellum. It is suggested that acupuncture intervention may play a therapeutic role by regulating the functional state of emotion-related brain regions and brain networks.

Objective:Through the meta-analysis of activation likelihood estimation (ALE), the functional magnetic resonance imaging research evidence of acupuncture in the treatment of depression was systematically integrated to analyze the effect of acupuncture on brain activity in patients with depression and systematically reveal its potential neural mechanism.Methods:The literatures which used functional magnetic resonance imaging to explore brain image changes of patients with depression after receiving acupuncture intervention were retrieved from CNKI, VIP database, Wanfang database, PubMed, Embase, EBSCO host MEDLINE and Web of Science database. The retrieval time is from the establishment of the database to March 2025. Data processing was performed using the ALE method by the Ginger ALE 2.3 software. The coordinates of the subjects included in the study were extracted, and the brain regions with abnormal spontaneous brain activity in patients with depression were integrated and analyzed.Results:A total of 28 articles involving 770 subjects were included. Depressed patients receiving acupuncture exhibited increased brain activity in the bilateral medial frontal gyrus and bilateral anterior cingulate cortex. Exploratory analysis revealed that depressed patients receiving acupuncture exhibited reduced activation in the left posterior cerebellar lobe (MNI: x, y, z = -6, -68, -21; x, y, z = -9, -81, -9) compared to healthy controls (voxel sum=5 824 mm 3,P<0.05). Conclusion:Patients with depression who received acupuncture intervention exhibited relatively consistent activation in brain regions compared to depressed patients who did not receive acupuncture and healthy individuals. Compared to healthy individuals, patients with depression who received acupuncture showed reduced activation in the left posterior cerebellum. It is suggested that acupuncture intervention may play a therapeutic role by regulating the functional state of emotion-related brain regions and brain networks.

Objective To evaluate the ability of longitudinal changes in urinary extracellular domain of neurotrophin receptor p75(p75ECD)to serve as a prognostic biomarker of severity,progression and survival time in patients with amyotrophic lateral sclerosis(ALS).Methods Forty patients with ALS attended follow-up appointments at 3-to 6-month interval,and 51 healthy control(HC)volunteers were recruited.The concentrations of urinary p75ECD were tested by a sandwich ELISA.The ALSFRS-r was used to quantify the severity of ALS.The change rate of urinary p75ECD(Δp75ECD)was calculated as the average monthly change during the period between the first and the last sampling.Results The concentration of urinary p75ECD was higher at the last follow-up than at baseline(P=0.002 3).Spearman analysis showed that there was a negative correlation between urinary p75ECD and ALSFRS-r score(r=-0.35,P=0.001 3);the course of ALS in the fast-changing Δp75ECD group was shorter than that in the slow-changing group(P=0.015 8);the Δp75ECD and course of ALS showed a negative correlation(r=-0.39,P=0.014),and the Δp75ECD in the fast-progression ALS group was significantly higher than in the slow-progression group(P=0.001 6).There was a positive correlation between Δp75ECD and progression in ALS patients(r=0.34,P=0.005).Kaplan-Meier survival analysis showed a longer median survival time in those with slow-changing Δp75ECD(P=0.03).Conclusion The change rate of urinary p75ECD has shown great potential as a biomarker for the prognosis of the severity,progression and survival time of ALS.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective: To explore and validate the potential targets of Paeoniae Radix Alba (P. Radix, Bai Shao) in protecting against chemical liver injury through network pharmacology, molecular docking technology, and in vitro cell experiments. Methods: Network pharmacology was used to identify the common potential targets of P. Radix and chemical liver injury. Molecular docking was used to fit the components, which were subsequently verified in vitro. A cell model of hepatic fibrosis was established by activating hepatic stellate cell (HSC)-LX2 cells with 10 ng/mL transforming growth factor-β1. The cells were exposed to different concentrations of total glucosides of paeony (TGP), the active substance of P. Radix, and then evaluated using the cell counting kit-8 assay, enzyme-linked immunosorbent assay, and western blot. Results: Analysis through network pharmacology revealed 13 key compounds of P. Radix, and the potential targets for preventing chemical liver injury were IL-6, AKT serine/threonine kinase 1, jun proto-oncogene, heat shock protein 90 alpha family class A member 1 (HSP90AA1), peroxisome proliferator activated receptor gamma (PPARG), PTGS2, and CASP3. Gene Ontology (GO) enrichment analysis indicated the involvement of response to drugs, membrane rafts, and peptide binding. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that the main pathways involved lipid and atherosclerosis and chemical carcinogenesis-receptor activation. Paeoniflorin and albiflorin exhibited strong affinity for HSP90AA1, PTGS2, PPARG, and CASP3. Different concentrations of TGP can inhibit the expression of COL-Ⅰ, COL-Ⅲ, IL-6, TNF-α, IL-1β, HSP-90α, and PTGS2 while increasing the expression of PPAR-γ and CASP3 in activated HSC-LX2 cells. Conclusion P. Radix primarily can regulate targets such as HSP90AA1, PTGS2, PPARG, CASP3. TGP, the main active compound of P. Radix, protects against chemical liver injury by reducing the inflammatory response, activating apoptotic proteins, and promoting the apoptosis of activated HSCs.

BACKGROUND:Nanocomposite hydrogel has great research prospects and application potential in the treatment of osteoarthritis. OBJECTIVE:To review the research progress of nanocomposite hydrogel in osteoarthritis and cartilage repair. METHODS:Databases such as CNKI and PubMed were searched.The English key words were"nanocomposite hydrogel,nanogel,osteoarthritis,cartage,physical encapsulation,electrostatic interaction,covalent crosslinking",and the Chinese key words were"nanocomposite hydrogel,nanogel,osteoarthritis,cartage,physical encapsulation,physical encapsulation,electrostatic effect,covalent cross-linking".After an initial screening of all articles based on inclusion and exclusion criteria,71 articles with high correlation were retained for review. RESULTS AND CONCLUSION:In cell or animal experiments,nanocomposite hydrogel has the effect of improving osteoarthritis.Nanocomposite hydrogel can promote cartilage repair,improve the internal environment of osteoarthritis,and achieve the therapeutic purpose of osteoarthritis by improving the mechanical environment between joints,carrying targeted drugs,and promoting the chondrogenesis of seed cells.At present,the research of nanocomposite hydrogel in osteoarthritis disease still has a huge space to play.It is expected to open up a new way for the clinical treatment of osteoarthritis by continuing to deepen the research of material preparation and actively carrying out cell and animal experiments.

Objective To investigate the difference of electrocardiographic(ECG)features between total left main artery(LM)occlusion and subtotal occlusion,and analyze risk factors of in-hospital mortality.Methods A total of 94 patients with left main complete occlusion and 99 patients with subtotal occlusion were included.ECG characteristics,coronary angiography and other clinical data were compared,and factors of hospital death were analyzed.The receiver operating characteristics(ROC)curve was used to analyze the predictive value of ECG characteristics in hospital death risk in patients with LM occlusion.The relationship between ECG characteristics,shock and collateral circulation were analyzed in patients with LM occlusion.Results Compared with the subtotal occlusion group,patients with LM occlusion presented with more ST-segment elevation(STE)in Ⅰ,avL,V2-V5,more STE in avR and avL,more left anterior fascicular block+right bundle branch block,prolonged QRS duration,less STE in avR and less STE in avR+V1.The in-hospital mortality was 46.8%(44/94)in LM occlusion and 14.1%(14/99)in LM subtotal occlusion.STE in avR+avL predicted total LM occlusion with a specificity of 0.97,and left anterior branch+right bundle branch block predicted total LM occlusion with a specificity of 1.00.In patients with total LM occlusion,STE in Ⅰ,avL,V2-V5,prolongation of QRS duration,shock,no collateral circulation,STE in Ⅰ,avL,V2-V5 combined with left anterior fascicular block+right bundle branch block,and STE in Ⅰ,avL,V2-V5 combined with shock predicted in-hospital mortality,with the area under the curve of 0.716,0.619,0.766,0.688,0.572,0.785,respectively.The diagnostic specificity of STE in Ⅰ,avL,V2-V5 combined with shock was 0.82,and the sensitivity was 0.75.STE in Ⅰ,avL,V2-V5 combined with left anterior fascicular block+right bundle branch block predicted in-hospital death in LM occlusion with a specificity of 0.94.The proportion of shock was higher in patients with STE in Ⅰ,avL,V2-V5,left anterior fascicular block+right bundle branch block and collateral flow absence(P＜0.05).In patients with total occlusion,no collateral flow was observed in patients with STE in Ⅰ,avL,V2-V5.In patients with STE in avR(including avR+V1),82.4%of patients presented with right coronary collateral circulation supplying the left anterior descending coronary artery and left circumflex artery territory.In patients with STE in avR+avL,69.2%of patients presented with right coronary collateral circulation supplying left anterior descending coronary artery territory.Conclusion Total LM occlusion presents with different ECG features compared with subtotal occlusion.In LM total occlusion,the ECG features predict in-hospital mortality and are associated with different collateral circulation.

Objective: Astragali Radix, commonly used in traditional Chinese medicine, is subjected to an analysis of the habitat distribution of Astragalus membranaceus var. mongholicus in the Inner Mongolia Autonomous Region of China under climate change. This analysis is crucial for the conservation ofmedicinal plants, the assessment of their adaptability to climate change, and the promotion of sustainable development in the ecological environment. Methods: This study explores the currently suitable habitats for A. membranaceus var. mongholicus using a random forest species distribution model on the Google earth engine platform. Based on future climate data, the study predicts distribution dynamics for 4 time periods (2021–2040, 2041–2060, 2061–2080, and 2081–2100) under three climate change scenarios (SSP126, SSP245, and SSP585). Results: The results indicate that under current climatic conditions, the suitable habitat distribution of A. membranaceus var. mongholicus is mainly concentrated in the southwestern region of Inner Mongolia. Under future climate change scenarios, there is a varying degree of contraction in suitable habitats, with notable reductions. Particularly, under the SSP126 scenario (2081–2100), there is a significant decrease of 22.77% in suitable habitat. The SSP245 scenario (2041–2060) exhibits the most pronounced habitat loss, with a reduction of 36.38%. Additionally, with climate change, the overall suitable range of A. membranaceus var. mongholicus is expected to shift toward higher latitudes and contract. Conclusion: This study can be used to improve conservation efforts for wild A. membranaceus var. mongholicus. It also provides a scientific basis for the cultivation of this medicinal plant in the context of climate change. This, in turn, can encourage more industries to achieve both sustainable development and economic benefits, providing valuable insights for building a low-carbon economy.