ObjectiveTo screen suitable packaging and storage conditions for small packaged Alismatis Rhizoma decoction pieces， laying the foundation for developing standardized storage， maintenance techniques and determining shelf life. MethodsUsing the accelerated stability test method， the small packaged decoction pieces of Alismatis Rhizoma were placed in polyethylene plastic bags， aluminum foil polyethylene composite bags， and cowhide coated paper bags under temperature of （40±2） ℃ and relative humidity of （75±5）% conditions， the quality testing was conducted at the end of the 0^th， 1^st， 2^nd， 3^rd， and 6^th month， respectively. Using long-term stability test method， an orthogonal experiment was designed to investigate storage conditions， packaging materials， and packaging methods. At the end of the 0^th， 1^st， 3^rd， 6^th， 9^th， 12^th， 18^th， and 24^th month， the quality of small packaged Alismatis Rhizoma decoction pieces was tested under different packaging and storage conditions（including 2 packaging methods：vacuum packaging and sealed packaging， 3 storage conditions：room temperature， cool， and modified atmosphere， 3 packaging materials：cowhide coated paper bag， aluminum foil polyethylene composite bag， and polyethylene plastic bag）. Then， the G1-entropy weight method combined with orthogonal experiment was used to analyze the quality changes of the decoction pieces under different packaging and storage conditions to identify optimal packaging and storage conditions. The quality testing indicators for Alismatis Rhizoma decoction pieces were expanded beyond those specified in the 2020 edition of the Pharmacopoeia of the People's Republic of China. In addition to the existing indicators（characteristics， moisture content， extractives， and the total content of 23-acetyl alisol B and 23-acetyl alisol C）， new indicators including color value， water activity， total triterpenoid content， and alisol B content have been added. ResultsThe accelerated stability test results indicated that the quality of small packaged Alismatis Rhizoma decoction pieces was more stable when packaged in aluminum foil-polyethylene composite materials compared to cowhide-coated paper bags and polyethylene plastic bags. Analysis of the long-term stability test results using the G1-entropy weight method combined with orthogonal experiment revealed that storage conditions had the greatest impact on both raw and salt-processed products， followed by packaging materials， while the packaging method had the least influence. For both types of small packaged Alismatis Rhizoma decoction pieces， modified atmosphere storage demonstrated superior efficacy compared to cool storage or room temperature storage. Storage in aluminum foil-polyethylene composite bags was superior to polyethylene plastic bags or cowhide-coated paper bags. However， the stability of sealed raw products was better than vacuum-packed ones， whereas vacuum-packed salt-processed products exhibited greater stability than their sealed counterparts. ConclusionBased on the results of the quality changes of small packaged Alismatis Rhizoma decoction pieces under different storage conditions， it is recommended that the suitable storage packaging conditions for small packaged raw products are sealed packaging with aluminum foil polyethylene composite bags and controlled atmosphere storage， and the suitable storage and packaging conditions for small packaged salt-processed products are vacuum packaging with aluminum foil polyethylene composite bags and controlled atmosphere storage.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

Objective:To explore the correlation between ASXL1 gene mutation characteristics and clinical manifestations and prognosis in patients with myelodysplastic syndrome(MDS).Methods:The clinical date of 264 patients with MDS in Xuzhou Central Hospital,Southeast University from August 2010 to April 2024 was retrospectively analyzed.The patients were divided into ASXL1wt group and ASXL1mut group according to the presence of ASXL1 gene mutation,and the correlation between gene mutation characteristics and clinical manifestations and prognosis was analyzed.Results:Compared with ASXL1wt group,the ASXL1mut group had a higher age of onset(P＜0.05),a higher proportion of males(P＜0.05),while the incidence of del(5q)was lower(P＜0.01).The mutation frequency of ASXL1 in MDS patients was 21.97％,and most of them were frameshift mutations.The p.Gly646fs was the most common amino acid variant,with a mutation frequency of 20.69％.The median overall survival(OS)and leukemia-free survival of patients with this sequence variant was 18.1 and 23.8 months,respectively,while in those without this sequence variant was 30 months and not reached,and the differences were statistically significant(P＜0.05).The results of multivariate analysis showed that the mutation of NRAS,WT1,KIT gene and the p.Gly646fs sequence mutation of ASXL1 gene were independent prognostic factors for OS in ASXL1mut patients.The median OS of ASXL1wt and ASXL1mut patients was 27.9(21.3-40.4)and 23.7(18.6-NA)months,respectively(P＞0.05).Among 58 ASXL1mut patients,5 cases(8.6％)transformed to acute leukemia,including 3 cases with RUNX1 mutation and 3 cases with TET2 mutation.Among 206 ASXL1wt patients,28 cases(13.6％)transformed to acute leukemia.The difference in leukemia transformation rate between the two groups was not statistically significant(P＞0.05).The efficacy of different treatment regimens was similar in the ASXL1mut group,while in the ASXL1wt group,patients receiving allogeneic hematopoietic stem cell transplantation had a significantly better prognosis than those receiving other treatment regimens(P＜0.001).The overall response rate to demethylation therapy was 68.7％and 67.6％in ASXL1mut and ASXL1wt group,respectively,and the difference between the two groups was not significant(P＞0.05).Conclusion:The overall survival of MDS patients with ASXL1mut is poor.The patients with p.Gly646fs sequence mutation have a higher proportion of bone marrow blasts and a worse prognosis.There are no statistical differences in efficacy of different treatment strategies in ASXL1mut group.ASXL1 mutation shows no significant effect on the response of MDS to hypomethylating agent therapy.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To investigate the expression of serum microRNA(miR)-16a and mir-15b in patients with early-onset neonatal sepsis(EONS)and its value in clinical diagnosis and prognosis evaluation.Methods 114 children diagnosed with EONS admitted to the Department of Neonatology,Baoding Hospital of Beijing Children's Hospital Affiliated to Capital Medical University from October 2020 to October 2023 were selected as the EONS group,and 114 healthy newborns in the hospital during the same period were selected as the control group.Follow up was conducted on all EONS patients for a period of 6 months,including 34 cases in the poor prognosis group and 80 cases in the good prognosis group.The relative expression levels of miR-16a and miR-15b were measured within 6h of admission using real-time fluorescence quamtitative PCR(qRT-PCR).ROC curve was applied to analyze the diagnostic and prognostic value of serum miR-16a and miR-15b for EONS.Multivariate Logistic regression was applied to analyze the factors that affected the poor prognosis of EONS.Results Compared with the reference group,the birth weight of children in the EONS group(3.44±0.35kg/m2 vs 3.89±0.40kg/m2)was obviously reduced,and there was a obvious difference(35/114,1/114)in pathological jaundice between the two groups,and the differences were statistically significant(t=9.040,χ2=35.922,all P＜0.05).Compared with the reference group,the serum levels of miR-16a and miR-15b in the EONS group were obviously increased,and the differences was statistically significant(t=7.699,8.606,all P＜0.05).The area under the curve(AUC)of the ROC curve for the combined diagnosis of EONS by serum miR-16a and miR-15b was higher than that of miR-16a and miR-15b alone,and the differences were statistically significant(Z=2.619,2.157,all P<0.05).Compared with the good prognosis group,the poor prognosis group had a obvious decrease in body weight at birth,and a obvious increase in serum levels of miR-16a and miR-15b,and the differences were statistically significant(t=5.434,6.308,all P＜0.05).The AUC of serum miR-16a and miR-15b combined for prognostic evaluation was higher than that of miR-16a and miR-15b evaluated separately,and the differences were statistically significant(Z=2.364,2.073,all P＜0.05).Birth weight,miR-16a,miR-15b expression level was a prognostic factor of EONS(Wald χ2=33.459,16.146,49.797,all P<0.05).Conclusion MiR-16a and miR-15b are highly expressed in the serum of children with EONS,and they have certain diagnostic and prognostic value for EONS.

Background:The incidence and mortality rates of severe acute pancreatitis(SAP)have been increasing year by year.Therefore,early and rapid identification,along with timely intervention in the progression of acute pancreatitis(AP),is of particular importance.Aims:To explore the value of red blood cell distribution width(RDW)combined with BISAP score in the early prediction of SAP.Methods:A total of 561 AP patients admitted from January 2019 to December 2021 at the General Hospital of the Central Theater Command of the PLA were enrolled and divided into SAP group and non-SAP group according to the disease severity.Venous blood samples were collected within 24 hours of admission.The relevant clinical data,laboratory indices,BISAP score,and MCTSI score were compared between the two groups.Logistic regression analysis was used to identify the risk factors for SAP.Spearman correlation coefficient was employed to assess the correlation of these risk factors with the severity of AP,as well as the correlation of RDW with BISAP score and MCTSI score.The predictive values of these risk factors for SAP were evaluated by ROC curve analysis.Results:Compared with the non-SAP group,the prevalence of hypertension,length and cost of hospital stay,neutrophil count(NEUT),neutrophil-to-lymphocyte ratio(NLR),RDW,serum potassium,aspartate transaminase(AST),blood urea nitrogen(BUN),serum creatinine(SCr),BISAP score and MCTSI score were significantly increased in the SAP group(all P<0.05),while the lymphocyte count(LYM),serum calcium and albumin(ALB)were significantly decreased(all P<0.05).RDW(OR=1.582,95%CI:1.066-2.348,P=0.023),SCr(OR=1.018,95%CI:1.001-1.035,P=0.040),BISAP score(OR=6.210,95%CI:3.121-12.356,P<0.001),and MCTSI score(OR=2.917,95%CI:2.160-3.939,P<0.001)were the independent risk factors for SAP.RDW(rs=0.320,P<0.001),SCr(rs=0.103,P=0.015),BISAP score(rs=0.516,P<0.001),and MCTSI score(rs=0.512,P<0.001)were positively correlated with the severity of AP.Moreover,RDW was positively correlated with BISAP score(rs=0.428,P<0.001)and MCTSI score(rs=0.408,P<0.001).ROC curve analysis revealed that the areas under the ROC curve of RDW,SCr,BISAP score,MCTSI score,and combination of RDW and BISAP score for predicting SAP were 0.753,0.581,0.889,0.888,and 0.905,respectively.Conclusions:RDW,SCr,BISAP score,and MCTSI score are the independent risk factors for SAP.RDW combined with BISAP score can enhance the predictive value for SAP.

Objective:To compare the survival outcomes of different subsequent treatment regimens in patients with locally advanced hypopharyngeal squamous cell carcinoma (HPSCC) who achieved partial response (PR) after neoadjuvant chemotherapy based on the gross tumor volume regression rate (GTVRR).Methods:This retrospective study included patients with locally advanced HPSCC treated at the Department of Head and Neck Surgery, Beijing Tongren Hospital, from January 2011 to December 2023. The cohort included 135 males and 3 females, aged from 35 to 77 years. All patients received 2-3 cycles of TPF regimen (paclitaxel+cisplatin+5-fluorouracil) neoadjuvant chemotherapy. Subsequent treatments included concurrent chemoradiotherapy or surgery combined with postoperative adjuvant radiotherapy. The impacts of different subsequent treatment modalities on the survivals and prognoses of patients were compared based on GTVRR thresholds of 50% and 70%. The χ 2 test was used to analyze influencing factors; survival analysis and intergroup comparisons were performed using the Kaplan-Meier method and Log-rank test; prognostic factors were assessed using univariate and multivariate Cox regression analyses. Results:The 5-year OS and PFS rates were 56.5% and 47.9%, respectively, while, the 10-year OS and PFS rates were 25.8% and 21.2%, respectively. The median OS was 75 months, and the median PFS was 48 months. The laryngeal function preservation rate for the entire cohort was 83.3%. The patients who underwent surgery combined with postoperative radiotherapy had significantly better OS and PFS outcomes than those treated with concurrent chemoradiotherapy ( P<0.05). Stratification based on GTVRR revealed that the surgery plus postoperative radiotherapy regimen was particularly effective for PR patients with a GTVRR of 30%-70%, showing significantly better OS and PFS compared to the concurrent chemoradiotherapy group ( P<0.05). Conclusion:The optimal subsequent treatment for PR-HPSCC may be surgery-based comprehensive treatment, particularly for patients with a GTVRR of 30%-70%. This study offers valuable insights for the stratified treatment of HPSCC, which could contribute to improving overall patient prognosis.

Type 2 diabetes(T2DM)was a chronic metabolic disease,vascular lesions was one of the common complications of T2DM,including microvascular and macrovascular lesions,which seriously threatens the health of patients and increases the risk of disability and death.Dyslipidemia was one of the pathogenesis of type 2 diabetes,the disorder of lipid metabolism was also closely related to various acute and chronic complications of diabetes,the cholesterol in the lipoproteins rich in triglycerides(TG)was known as residual cholesterol.Existing studies have shown that,residual cholesterol was closely related to the occurrence and development of vascular lesions in T2DM.Residual cholesterol may be involved in T2DM vascular lesions through mediating inflammatory response,participating in oxidative stress,lipid metabolism disorder and direct damage to vascular endothelial function.This study reviewed the association between residual cholesterol and T2DM vascular lesions and its mechanism of action in T2DM vascular lesions,aiming to provide solid theoretical support for the formulation of prevention and treatment strategies for T2DM vascular lesions.

AIM To study the chemical constituents from salt-processed Litchi Semen and their antioxidant activities.METHODS The 85％ethanol extract from salt-processed Litchi Semen was isolated and purified by silica gel,Sephadex LH-20,MCI,ODS and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.DPPH and ABTS+free radical scavenging method were used to evaluate their antioxidant activities.RESULTS Fifteen compounds were isolated and identified as dehydrocostuslactone(1),ananosmoside A(2),funingensin A(3),(2S)-pinocembrin-7-O-(6-O-α-L-rhamnopyranosyl-β-D-glucopyranoside)(4),liquiritienin(5),quercetin(6),rutin(7),isorhamnetin-3-O-β-rutinoside(8),procyanidin A2(9),procyanidin A1(10),ethyl protocatechuate(11),5-hydroxymethylfurfural(12),di(2-ethyl-hexyl)phthalate(13),nicotinamide(14),(10E,15Z)-9,12,13-trihydroxyoctadeca-10,15-dienoic acid(15).Compounds 6-7,9-10 exhibited scavenging activities against DPPH radicals with IC50 values of(12.929±1.232),(14.104±0.946),(10.417±1.736),(6.944±0.030)μmol/L,respectively.Compounds 6-10 exhibited scavenging activities against ABTS+radicals with IC50 values of(21.952±0.577),(25.683±0.625),(22.970±1.336),(20.210±1.435),(18.725±0.324)μmol/L,respectively.CONCLUSION Compounds 1,5,14-15 are isolated from Litchi genus for the first time.Compounds 6-7,9-10 have strong in vitro antioxidant activities.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.