Chronic obstructive pulmonary disease (COPD) is the most common chronic respiratory disease around the world, and pharmacotherapy is the foremost treatment method currently. In recent decades, with the rapid development of bronchoscopic interventional therapy, endoscopic physical ablation technology presents a therapeutic effect in treating COPD, with few treatment-related side effects, showing excellent application prospects in treating COPD. Since ablation techniques in this field are emerging technologies with low patient acceptance, they are not widely used in the clinical treatment of COPD. This article reviews the development process of physical ablation techniques. Moreover, their current application status and the prospects in the field of COPD treatment are also summarized and analyzed. We hope to promote the application of physical ablation in the clinical treatment of COPD and provide practical references and a theoretical basis for the clinical treatment of COPD.

Objective: Establishment of a HPLC method for six chemical components in Saposhnikovia divaricata (prim-O-glucosylcimifugin, cimifugin, 5-O-methylvisamminoside, sec-O-glucosylhamaudol, psoralen, and imperatorin), comparison of the advantages and disadvantages of the dual-standard linear calibration method and the relative retention time method, and investigation of the feasibility of the linear calibration using two reference substances for qualitative analysis of multiple components in Saposhnikovia divaricata.
Methods: A HPLC method was employed, using 21 different brands and models of C18 columns. The mobile phase consisted of acetonitrile (A) and 0.02% phosphoric acid aqueous solution (B), with gradient elution (0-20 min, 18%A; 20-45 min, 18%A-50%A; 45-60 min, 50%A). The column temperature was set at 30 ℃, the flow rate was 1 mL·min^-1, and the detection wavelength was 254 nm.
Results: The results predicted by the linear calibration using two reference substances were accurate and superior to those of the relative retention time method, and the six components exhibited good linear relationships within their respective ranges.
Conclusion: The established linear calibration using two reference substances accurately predicts the retention times of the target components. This method is stable and reliable, providing a reference for the establishment of digital standards in traditional Chinese medicine.

ObjectiveTo investigate the relationship between periodontitis severity and brain functional indices-amplitude of low-frequency fluctuations （ALFF） and fractional ALFF （fALFF） in cognitively normal middle-aged and older adults， and to examine their associations with cognitive performance. Methods42 cognitively normal middle-aged and older participants were enrolled. Periodontal data—including the number of remaining teeth （NTP）， bleeding on probing positivity rate （BOP%）， probing depth （PD）， and clinical attachment loss （CAL） as well as resting-state functional magnetic resonance imaging data were collected. Participants were divided into a mild periodontitis group and a moderate-to-severe periodontitis group according to periodontitis severity. Group differences in ALFF and fALFF were compared， and correlation analyses were performed. ResultsCompared with the mild periodontitis group， the moderate-to-severe group showed decreased ALFF values in the right lingual gyrus， superior occipital gyrus， paracentral lobule， and in the left calcarine cortex as well as the precentral and postcentral gyri. Decreased fALFF values were observed in the right lingual gyrus， cuneus， and left calcarine cortex. Indicators related to periodontitis progression ［BOP%， PD=4-5 mm （%）， PD≥6 mm （%）， CAL=3-4 mm （%） and CAL≥5 mm （%）］ were negatively correlated with ALFF， fALFF and cognitive performance， whereas indicators reflecting better periodontal function ［PD=1-3 mm （%） and CAL=0-2 mm （%）］ were positively correlated with these measures. ConclusionIn cognitively normal middle-aged and older adults， periodontitis severity is associated with alterations in brain functional activity and cognitive performance.

The plants of the genus Caragana Fabr. are desert plants of the Leguminosae family, which are widely used in traditional ethnomedicine, with the effects of nourishing Yin and nourishing blood, dispelling wind and removing dampness, clearing heat and detoxifying toxins. The anti-inflammatory effect of Caragana Fabr. has attracted much attention, the research on the related mechanism has made some progress, but it lacks systematic collation. By summarising the anti-inflammatory effects of the active ingredients of Caragana Fabr., the authors found that they have good anti-inflammatory activities on different inflammatory cell models in vitro, and have good improvement effects on rheumatoid arthritis, colitis, complex nephritis, and acute lung injury and other disease models. The anti-inflammatory effects of the active components of this genus mainly include the reduction of the levels of a variety of pro-inflammatory factors, and the signalling pathways involved mainly include TLR4/NF-κB, TLR4/MAPK, TLR4/NF-κB/IRF3, JAK/STAT-1, ERK/STAT-1 and so on. Therefore, the paper mainly reviews the research progress on the anti-inflammatory effects and mechanisms of the Caragana Fabr. plants and their active components according to disease types, with a view to providing reference for the in-depth study of their anti-inflammatory activities and the development of new products with related functions.

Objective:To explore the clinical efficacy of Wenshen Chushi Decoction combined with low intensity pulsed ultra-sound(LIPUS)on erectile dysfunction(ED)caused by renal deficiency and phlegm-dampness syndrome.Methods:One hundred and twenty ED patients were included from the Department of Andrology in the First Hospital of Hunan University of Traditional Chinese Medicine.The patients in control group were treated with Wenshen Chushi Decoction.While the patients in observation group were trea-ted with Wenshen Chushi Decoction combined with LIPUS for 8 consecutive weeks.After the treatment,the efficacy was evaluated using the International Index of Erectile Function-5(IIEF-5)score,Penile Flow Index(PFI),Traditional Chinese Medicine Syndrome Score,Self-Rating Depression Scale(SDS)score,and Self-Rating Anxiety Scale(SAS)score.Safety was also observed.And the ef-ficacy was followed up 4 weeks after the end of treatment.Results:Fifty-seven cases were enrolled into control group finally with 55 cases in the treatment group.After the treatment,all the patients in both of groups showed an improvement in IIEF-5 scores(P＜0.01).Compared with the control group(19.09±2.22),the IIEF-5 score in observation group(20.42±2.39)increased signifi-cantly(P＜0.01).After the treatment,the scores of PFI,TCM syndrome and SDS in both groups decreased(P＜0.01,P＜0.05,P＜0.01).Compared with the control group([3.77±1.21],[9.91±1.71]and[39.88±2.63]points),the observation group([2.92±1.08],[4.78±1.45],and[34.51±2.09]points)showed a more significant decrease(P＜0.01).There was no significant difference in total effective rate between the two groups(P＞0.05).During follow-up,the IIEF-5 scores of both groups of patients were higher than those before(P＜0.05,P＜0.01),and the observation group score was higher than that in the control group([17.15±3.37]vs[13.63±1.96],P＜0.01).No adverse reaction and abnormality of indicators occurred in both of two groups.Conclusion:Wenshen Chushi Decoction has a significant therapeutic effect on ED caused by renal deficiency and phlegm-dampness syndrome.It can not only improve the quality of erection,but also improve the physical and mental symptoms associated with ED,which makes therapeutic effect lasting longer.

Objective:To analyze postictal electroencephalographic(EEG) characteristics of patients with status epilepticus (SE) based on the score of grand total electroencephalography (GTE), and explore the relationship between electroencephalographic characteristics of SE and clinical prognosis.Methods:A total of 110 SE patients were enrolled in the Department of Neurology, the Affiliated Hospital of Yangzhou University from September 1, 2021 to September 1, 2023. EEG and GTE scores were performed in all patients after seizures (0-2 days after the cessation of SE). After one year of discharge, the medication and seizure status of patients were followed up by phone or outpatient visits. The seizure outcomes were recorded according to the international league against epilepsy (ILAE) seizure outcome classification, with favorable outcomes defined as good prognosis group ( n=54) and unfavorable outcomes defined as poor prognosis group ( n=56). SPSS 27.0 software was used for statistical analysis. Binary Logistic regression analysis was employed to screen impact variables of prognosis. The receiver operating characteristic(ROC) curve was plotted to determine the optimal cut-off point for predicting prognosis in epilepsy. Results:There were statistically significant differences in the total GTE score(2(1, 4), 8(5, 10); Z=-6.837, P<0.001), diffuse slow activity(0(0, 1), 2(0, 2); Z=-6.495, P<0.001), reactivity of the rhythmic background activity(0(0, 0), 0(0, 1); Z=-2.705, P=0.007), paroxysmal activity(0(0, 0), 1.5(0, 3.0); Z=-4.420, P<0.001), focal disturbances(0(0, 0), 0(0, 0); Z=-2.130, P=0.033), and sharp wave activity(0(0, 2), 2(2, 3); Z=-5.714, P<0.001)between the good prognosis group and poor prognosis group. The differences in EEG results among SE patients with different types of epileptic seizures were statistically significant in terms of frequency of rhythmic background activity, diffuse slow activity, reactivity of rhythmic background activity and total GTE score (all P<0.05). The differences in EEG results between SE patients with clear and unknown causes were statistically significant in terms of paroxysmal activity and focal disturbances(both P<0.05). The results of binary Logistic regression analysis showed that independent factors associated with the prognosis of SE included medication adherence ( B=-0.496, OR=0.609, 95% CI=0.395-0.940, P=0.025), diffuse slow activity( B=1.580, OR=4.854, 95% CI=1.586-14.855, P=0.006), sharp wave activity( B=0.824, OR=2.280, 95% CI=1.210-4.297, P=0.011), and total GTE score ( B=0.561, OR=1.753, 95% CI=1.360-2.259, P<0.001). In evaluating the prognosis of SE, the GTE score had a certain sensitivity (74.6%) and specificity (85.1%), with a optimal cut-off point of 6. Conclusions:The differences in EEG results among SE patients with different types of epileptic seizures were statistically significant in terms of frequency of rhythmic background activity, diffuse slow activity, reactivity of rhythmic background activity. The appearance of diffuse slow activity and sharp wave activity in the electroencephalogram of SE patients indicates poor prognosis, and the total GTE score≥6 may be a strong predictor of poor prognosis. However, good medication adherence is a protective factor for epilepsy recurrence.

Extended reality(XR)technology includes virtual reality(VR),augmented reality(AR)and mixed reality(MR)Combining virtual environments with physical world,the extended reality(XR)technology has great potential in rehabilitation of patients with stroke.This article reviews the intervention effects of XR technology on the functions of limb,swallowing,speech and cognition and psychological outcomes in patients with stroke.Based on this review,issues in application of XR are identified and targeted solutions are proposed,thereby offering a guidance for application of XR technology in stroke rehabilitation in China.

Objective:To analyze postictal electroencephalographic(EEG) characteristics of patients with status epilepticus (SE) based on the score of grand total electroencephalography (GTE), and explore the relationship between electroencephalographic characteristics of SE and clinical prognosis.Methods:A total of 110 SE patients were enrolled in the Department of Neurology, the Affiliated Hospital of Yangzhou University from September 1, 2021 to September 1, 2023. EEG and GTE scores were performed in all patients after seizures (0-2 days after the cessation of SE). After one year of discharge, the medication and seizure status of patients were followed up by phone or outpatient visits. The seizure outcomes were recorded according to the international league against epilepsy (ILAE) seizure outcome classification, with favorable outcomes defined as good prognosis group ( n=54) and unfavorable outcomes defined as poor prognosis group ( n=56). SPSS 27.0 software was used for statistical analysis. Binary Logistic regression analysis was employed to screen impact variables of prognosis. The receiver operating characteristic(ROC) curve was plotted to determine the optimal cut-off point for predicting prognosis in epilepsy. Results:There were statistically significant differences in the total GTE score(2(1, 4), 8(5, 10); Z=-6.837, P<0.001), diffuse slow activity(0(0, 1), 2(0, 2); Z=-6.495, P<0.001), reactivity of the rhythmic background activity(0(0, 0), 0(0, 1); Z=-2.705, P=0.007), paroxysmal activity(0(0, 0), 1.5(0, 3.0); Z=-4.420, P<0.001), focal disturbances(0(0, 0), 0(0, 0); Z=-2.130, P=0.033), and sharp wave activity(0(0, 2), 2(2, 3); Z=-5.714, P<0.001)between the good prognosis group and poor prognosis group. The differences in EEG results among SE patients with different types of epileptic seizures were statistically significant in terms of frequency of rhythmic background activity, diffuse slow activity, reactivity of rhythmic background activity and total GTE score (all P<0.05). The differences in EEG results between SE patients with clear and unknown causes were statistically significant in terms of paroxysmal activity and focal disturbances(both P<0.05). The results of binary Logistic regression analysis showed that independent factors associated with the prognosis of SE included medication adherence ( B=-0.496, OR=0.609, 95% CI=0.395-0.940, P=0.025), diffuse slow activity( B=1.580, OR=4.854, 95% CI=1.586-14.855, P=0.006), sharp wave activity( B=0.824, OR=2.280, 95% CI=1.210-4.297, P=0.011), and total GTE score ( B=0.561, OR=1.753, 95% CI=1.360-2.259, P<0.001). In evaluating the prognosis of SE, the GTE score had a certain sensitivity (74.6%) and specificity (85.1%), with a optimal cut-off point of 6. Conclusions:The differences in EEG results among SE patients with different types of epileptic seizures were statistically significant in terms of frequency of rhythmic background activity, diffuse slow activity, reactivity of rhythmic background activity. The appearance of diffuse slow activity and sharp wave activity in the electroencephalogram of SE patients indicates poor prognosis, and the total GTE score≥6 may be a strong predictor of poor prognosis. However, good medication adherence is a protective factor for epilepsy recurrence.

Epidemiology research has found that ABO blood group and the gene coding ABO glycosyltransferases are associated with many human diseases. The activity of ABO glycosyltransferases varies with different blood types, mediating different glycosylation modifications. The variation in glycosylation level might be the risk factor of specific disease. Based on the literature retrieval and analysis, glycosylation levels regulated by ABO glycosyltransferases mainly affect the ABH blood group antigens and von Willebrand factor (vWF). By modulating key glycosylation components, ABO glycosyltransferases partly determine the activity or expression levels of the ABH antigens and vWF, thereby affecting the development and progression of diseases. Exploring the pathogenic mechanisms of ABO glycosyltransferases can improve the understanding of the molecular pathology of related diseases and provide reference for clinical research and application.

Objective:To investigate the association between cognitive impairment and manifestation of interictal electroencephalogram (EEG) in epilepsy patients, and the early assessment significance of the Grand Total Electroencephalography (GTE) score.Methods:A totall of 100 patients with primary epilepsy admitted to the Department of Neurology of the Affiliated Hospital of Yangzhou University were continuously collected from January 2019 to January 2024, and they were classified according to the latest version of the epilepsy classification by the International League Against Epilepsy in 2017. General information of all research subjects was recorded, including age, gender, educational level, etc. The disease details of epilepsy patients were recorded, including seizure duration, severity, seizure precursors, post seizure status, and use of anti-seizure medications (ASM). The survey scales and questionnaires used included the interictal GTE, Montreal Cognitive Assessment (MoCA), Hamilton Anxiety Scale, Hamilton Depression Scale, National Hospital Seizure Severity Scale (NHS3), Status Epilepticus Severity Score (STESS). All research subjects were classified into normal cognitive (NC) group, mild cognitive impairment (MCI) group, and dementia group according to MoCA score. Comparisons among multiple groups and pairwise comparisons were conducted. The correlation between 2 variables was analyzed using Spearman rank correlation analysis, and multiple linear regression analysis was employed to screen variables that have an impact on cognitive impairment. The receiver operating characteristic curve was plotted to determine the optimal cut-off point for predicting cognitive impairment in epilepsy.Results:According to the MoCA score, there were 32 (32%) patients in the NC group, 49 (49%) patients in the MCI group, and 19 (19%) patients in the dementia group. There were statistically significant differences in age [(26.31±10.01) years, (43.96±16.19) years, (57.68±16.83) years,respectively; F=29.440, P<0.001], education ( χ2=28.894, P<0.001), ASM ( χ2=11.258, P<0.017), STESS score [2.00(1.75, 2.25), 2.00(2.00, 3.00), 3.50(2.75, 4.25),respectively; H=12.646, P=0.002], STESS score>2 ( χ2=10.075, P=0.006), frequency of rhythmic background activity ( H=17.429, P<0.001), diffuse slow activity ( H=42.033, P<0.001), reactivity of the rhythmic background activity ( H=15.206, P<0.001), paroxysmal activity ( H=25.279, P<0.001), sharp wave activity ( H=15.492, P<0.001) and total GTE score [1 (1, 3), 6 (2, 8), 8 (7, 11),respectively; H=47.871, P<0.001] among the 3 groups. A significant negative correlation was observed between cognitive level (MoCA scores) and total GTE score ( ρ=-0.766, P<0.001), frequency of rhythmic background activity ( ρ=-0.520, P<0.001), diffuse slow activity ( ρ=-0.734, P<0.001), reactivity of the rhythmic background activity ( ρ=-0.438, P<0.001), paroxysmal activity ( ρ=-0.566, P<0.001), and sharp wave activity ( ρ=-0.407, P<0.001). The results of multiple linear regression analysis indicated that total GTE score ( t=-5.566, P<0.001), diffuse slow activity ( t=-2.548, P=0.014), reactivity of the rhythmic background activity ( t=-3.891, P<0.001), paroxysmal activity ( t=-3.139, P=0.003), age ( t=-5.493, P<0.001), education ( t=3.379, P=0.001), and STESS ( t=-2.183, P=0.033) were independent risk factors for cognitive impairment. In evaluating the cognitive impairment of epilepsy patients, the GTE score had a certain sensitivity (75.0%) and specificity (93.8%), with an optimal critical point value of 5. Conclusions:The interictal EEG of patients with poorer cognitive function is mainly characterized by an increase in slow waves and a decrease in overall background. The increase in slow waves, poor background responsiveness, paroxysmal activity and a high total GTE score may be important factors in predicting the outcome of cognitive impairment in epilepsy.