OBJECTIVE To explore and predict the quality markers （Q-markers） of Compound xiebai capsules for the treatment of chronic obstructive pulmonary disease （COPD） by constituents analysis combined with network pharmacology and molecular docking studies， and to establish the quality standard of Compound xiebai capsules. METHODS UHPLC-TOF-MS was used for qualitative analysis of Compound xiebai capsules， and the candidate Q-markers of Compound xiebai capsules were screened by combining network pharmacology and molecular docking technology. Further， HPLC was applied to establish the fingerprints of 15 batches of Compound xiebai capsules and to conduct quantitative analysis of the main components. RESULTS A total of 51 components were identified from Compound xiebai capsules. Among them， 15 components， namely oxyberberine， methylworenine， coptisine， tetrahydroberberine， epiberberine， berberine， magnoflorine， gandensin， cucurbitacin D， hydroxygenkwan， jatrorrhizine， columbamine， quercetin， cucurbitacin R， and palmatine， were determined as the candidate Q-markers for Compound xiebai capsules in the treatment of COPD. A total of 13 common peaks were calibrated in the fingerprints of 15 batches of Compound xiebai capsules for COPD treatment， with similarity values ranging from 0.976 to 0.999 compared to the reference fingerprint. Seven components were identified among these peaks， namely peak 5 （magnoflorine）， peak 8 （jatrorrhizine）， peak 9 （epiberberine）， peak 10 （columbamine）， peak 11 （coptisine）， peak 12 （palmatine）， and peak 13 （berberine）. Their respective contents were （0.267±0.048）， （0.453±0.084）， （0.572±0.160）， （0.392±0.074）， （1.076±0.273）， （1.477±0.271）， and （6.664±1.249） mg/g （ n ＝3）. CONCLUSIONS This study predicted 15 candidate Q-markers of Compound xiebai capsules in the treatment of COPD and established the fingerprint along with a quantitative determination method for seven major components.

BACKGROUND:We have successfully established an animal model of small ear pig in southern Yunnan province with internal tension relieving technique combined with autologous Achilles tendon for anterior cruciate ligament reconstruction,and verified the stability and reliability of the model.However,whether internal tension relieving technique can promote the ligamentalization process of autologous Achilles tendon graft has not been studied. OBJECTIVE:To investigate the differences in the process of ligamentalization between conventional reconstruction and internal reduction reconstruction of the anterior cruciate ligament by gross view,histology and electron microscopy. METHODS:Thirty adult female small ear pigs in southern Yunnan province were selected.Anterior cruciate ligament reconstruction was performed on the left knee joint with the ipsilateral knee Achilles tendon(n=30 in the normal group),and anterior cruciate ligament reconstruction was performed on the right knee joint with the ipsilateral knee Achilles tendon combined with the internal relaxation and enhancement system(n=30 in the relaxation group).The autogenous right forelimb was used as the control group;the anterior cruciate ligament was exposed but not severed or surgically treated.At 12,24,and 48 weeks after surgery,10 animals were sacrificed,respectively.The left and right knee joint specimens were taken for gross morphological observation to evaluate the graft morphology.MAS score was used to evaluate the excellent and good rate of the ligament at each time point.Hematoxylin-eosin staining was used to evaluate the degree of ligament graft vascularization.Collagen fibers and nuclear morphology were observed,and nuclear morphology was scored.Ultrastructural remodeling was evaluated by scanning electron microscopy and transmission electron microscopy. RESULTS AND CONCLUSION:(1)The ligament healing shape of the relaxation group was better at various time points after surgery,and the excellent and good rate of MAS score was higher(P<0.05).Moreover,the relaxation group could obtain higher ligament vascularization score(P<0.05).(2)The arrangement of collagen bundles and fiber bundles in the two groups gradually tended to be orderly,and the transverse fiber connections between collagen gradually increased and thickened,suggesting that the strength and shape degree of the grafts were gradually improved,but the ligament remodeling in the relaxation group was always faster than that in the normal group at various time points after surgery.(3)The diameter,distribution density,and arrangement degree of collagen fibers in the relaxation group were better than those in the normal group at all time points,especially in the comparison of collagen fiber diameter between and within the relaxation group(P<0.05).

Objective:To observe the improving effect of acupuncture and Tuina(Chinese therapeutic massage)combined with Ba Duan Jin(Eight-brocade Exercise)on motor function in patients with Parkinson disease(PD)in the early and middle stages.Methods:Seventy patients with early-or middle-stage PD were randomly divided into a control group and an observation group,with 35 patients in each group.The control group was given conventional treatment such as oral levodopa hydrochloride tablets;the observation group was treated with acupuncture,Tuina,and Ba Duan Jin in addition to the control group's treatment.Acupuncture and Tuina were administered twice a week,and Ba Duan Jin was performed five times a week.Each course of treatment lasted 4 weeks,and a total of 3 courses were completed.The changes in the unified Parkinson disease rating scale Ⅲ(UPDRS Ⅲ)score,Berg balance scale(BBS)score,15-meter walking speed,and 6-minute walk distance were compared between the two groups.Results:The total effective rate in the observation group was 93.6%,which was significantly higher than 45.7%in the control group(P<0.01).After 4,8,and 12 weeks of treatment,the UPDRS Ⅲ score in the observation group was significantly lower than the previous score(P<0.05);the BBS score was significantly higher than the previous score(P<0.05),and the 6-minute walk distance also significantly increased compared to the previous result(P<0.05).After 8 and 12 weeks of treatment,the 15-meter walking speed in the observation group was significantly higher than that before treatment and the previous measurement(P<0.05).In comparison with the control group,the observation group showed significantly lower UPDRS Ⅲ scores after 8 and 12 weeks of treatment(P<0.05).Additionally,after 4,8,and 12 weeks of treatment,the observation group had significantly higher BBS scores,15-meter walking speed,and the 6-minute walk distance than the control group(P<0.05).There were no significant differences in the above indicators before and after treatment in the control group(P>0.05).Conclusion:The addition of acupuncture,Tuina,and Ba Duan Jin to Western medication treatment can effectively improve motor function,balance ability,and walking ability in patients with early-or middle-stage PD.

Current experimental and computational methods have limitations in accurately and efficiently classi-fying ion channels within vast protein spaces.Here we have developed a deep learning algorithm,GPT2 Ion Channel Classifier(GPT2-ICC),which effectively distinguishing ion channels from a test set con-taining approximately 239 times more non-ion-channel proteins.GPT2-ICC integrates representation learning with a large language model(LLM)-based classifier,enabling highly accurate identification of potential ion channels.Several potential ion channels were predicated from the unannotated human proteome,further demonstrating GPT2-ICC's generalization ability.This study marks a significant advancement in artificial-intelligence-driven ion channel research,highlighting the adaptability and effectiveness of combining representation learning with LLMs to address the challenges of imbalanced protein sequence data.Moreover,it provides a valuable computational tool for uncovering previously uncharacterized ion channels.

Objective·To determine hyaluronan(HA)expression in the endocrine-resistant microenvironment of estrogen receptor-positive(ER+)breast cancer and elucidate its impact on the acquired resistance.Methods·Chemiluminescent immunoassay was used to quantify HA levels in the culture supernatants of fulvestrant-resistant breast cancer cells.An immunofluorescence(IF)assay was performed to visualize the colocalization of CD44 and HA in MCF7/FulR cells.Using an established adaptive endocrine-resistant breast cancer mouse model,HA expression in resistant breast cancer tissues was assessed by immunohistochemistry(IHC)assay.Single-cell RNA sequencing(scRNA-seq)and RNA sequencing(RNA-seq)were conducted to examine transcriptomic profiles and alterations in HA-related genes in resistant breast cancer cells.Flow cytometry(FCM)was utilized to measure the proportion of CD44+CD24-cells in MCF7/FulR.The correlation between HA synthesis genes and cell stemness was investigated in clinical ER+breast cancers from GEO data sets.Hyaluronidase(HAase)treatment was applied to remove the"HA coat",and RT-qPCR and Western blotting analysis were carried out to monitor changes in stemness-related molecules.CCK-8 assays,flow cytometry(FCM),and Hoechst 33258 staining were performed to determine changes in apoptosis and fulvestrant efficiency after HAase treatment.Results·IF results revealed that compared with MCF7 cells,the"HA coat"on the surface of MCF7/FulR cells was significantly thickened.IHC demonstrated markedly increased HA retention in fulvestrant-resistant mouse breast cancer tissues.ScRNA-seq and RNA-seq analyses indicated elevated expression of stemness-related genes and HA synthesis-associated genes in fulvestrant-resistant breast cancer cells.Correlation analysis revealed a positive association between HA synthesis and cancer stemness in ER+breast cancer.IF and RT-qPCR results demonstrated that removing the HA coating from the surface of MCF7/FulR cells led to a significant reduction in the expression of stemness-related molecules;concurrently,CCK-8 assays,FCM analysis,and Hoechst 33258 staining revealed that"HA coat"clearance reduced MCF7/FulR'tolerance to fulvestrant and increased apoptosis.Conclusion·Endocrine-resistant breast cancer cells develop an enriched"HA coat",which promotes stemness in fulvestrant-resistant tumors.Disruption of this HA coat through HAase treatment effectively reduces cell stemness,induces apoptosis,and re-sensitizes breast cancer cells to fulvestrant.

[Objective] To explore the influencing factors of quality monitoring index on the nucleic acid pooling detection mode and continuously improve the detection quality of nucleic acid laboratory. [Methods] The quality monitoring indicators (NAT reactive rate, NAT resolution reactive rate, NAT invalid batch rate, NAT invalid result rate, equipment failure rate) and causes of invalidity in our laboratory from January 1, 2020 to December 31, 2022 were retrospectively analyzed. The quality monitoring indicators of the laboratory during 2020 to 2022 were compared longitudinally. The quality monitoring indicators of the laboratory in 2022 were compared horizontally with the overall level in Shandong for the same period to find the differences. [Results] From 2020 to 2022, a total of 218 686 samples were detected, the NAT reactive rate was 0.15‰ (32 samples in total), the resolution reactive rate was 39.02%, the invalid batch rate was 1.06%, the invalid result rate was 1.18%, and the equipment failure rate was 3.58%. There were no differences in the NAT reactive rate, NAT resolution reactive rate and NAT invalid batch rate among different years (P>0.05), but there were differences in the invalid result rate (P<0.05). Equipment failure was the main cause of invalid results (56.53%). Compared with other laboratories in Shandong, there were differences in the NAT reactive rate and invalid result rate (P<0.05). There were differences in the reaction rate, resolution rate and invalid result rate among different reagents (P<0.05). Compared with other two laboratories using the same manufacturer's reagent, there were differences in the reactive rate and invalid result rate (P<0.05), but no difference in the resolution rate and invalid batch rate (P>0.05). [Conclusion] Establishing quality indexes for process control and regular analysis can timely detect potential risks in laboratory operation. The use of quality indicators to implement self-comparison and inter-laboratory comparison can help the laboratory systematically and scientifically evaluate its own operating status and formulate corresponding quality management strategies, thereby improving the laboratory's testing capacity and ensure the safety of blood use.

OBJECTIVE To evaluate the clinical value of dose-escalated postoperative radiotherapy(PORT)in improving local control and survival outcomes for head and neck adenoid cystic carcinoma(ACC)patients.METHODS This retrospective study analyzed 336 ACC patients treated with surgery plus PORT at Beijing Tongren Hospital from January 2015 to January 2021.Cohort stratification compared high-dose(>60 Gy,n=146)and conventional-dose(≤60 Gy,n=190)regimens.Survival analysis employed Kaplan-Meier estimates with log-rank testing,complemented by multivariate Cox regression for risk adjustment.RESULTS The cohort demonstrated 39.29%(132/336)cumulative local failure rate.The overall survival rates at 1,3,and 5 years after surgery were 98.81%,94.05%,and 90.48%,respectively.Dose-response relationships revealed:1.Significantly reduced local recurrence with high-dose PORT(28.08%vs.47.89%,P<0.001),corresponding to 41.37%lower recurrence risk(a HR=0.59,95%CI=0.38-0.91;P=0.041);2.Superior progression-free survival in the high-dose group(3-year:86.99%vs.76.32%;5-year:82.19%vs.66.32%,all P<0.05);3.Comparable overall survival between groups(median OS:200 vs.160 months,P=0.292).CONCLUSION Dose escalation beyond 60 Gy significantly enhances locoregional control and progression-free survival in head and neck ACC without conferring overall survival advantage,likely reflecting the disease's characteristic indolent metastatic progression.These results establish>60 Gy as an optimal dose threshold for PORT in high-risk ACC management.

[This corrects the article DOI: 10.1016/j.apsb.2020.12.008.].

[This corrects the article DOI: 10.1016/j.apsb.2018.08.009.].

Current experimental and computational methods have limitations in accurately and efficiently classifying ion channels within vast protein spaces. Here we have developed a deep learning algorithm, GPT2 Ion Channel Classifier (GPT2-ICC), which effectively distinguishing ion channels from a test set containing approximately 239 times more non-ion-channel proteins. GPT2-ICC integrates representation learning with a large language model (LLM)-based classifier, enabling highly accurate identification of potential ion channels. Several potential ion channels were predicated from the unannotated human proteome, further demonstrating GPT2-ICC's generalization ability. This study marks a significant advancement in artificial-intelligence-driven ion channel research, highlighting the adaptability and effectiveness of combining representation learning with LLMs to address the challenges of imbalanced protein sequence data. Moreover, it provides a valuable computational tool for uncovering previously uncharacterized ion channels.