Malignant gastric outlet obstruction (MGOO) occurs in 2% to 25% of patients with pancreatic ductal adenocarcinoma (PDAC) who do not undergo surgical intervention. Over the past decade, duodenal self-expandable metal stent (D-SEMS) has been widely used for MGOO and has demonstrated high technical (89.1% to 100%) and clinical (85.7% to 94.3%) success rates.Endoscopic ultrasonography-guided gastroenterostomy (EUS-GE) has emerged as a promising alternative with comparable technical (89.3% to 98.9%) and clinical (89.0% to 100%) success rates. Notably, EUS-GE reduces the 6-month reintervention rate by approximately 25% relative to D-SEMS in patients with MGOO, thus making it an increasingly popular treatment option. Despite its advantages, EUS-GE may not be suitable for patients with massive ascites, extensive peritoneal carcinomatosis, gastric linitis plastica, or an inaccessible small bowel. Moreover, EUSGE requires a longer procedure time and incurs higher overall costs, even when considering the increased reintervention rate associated with D-SEMS. While the risk of adverse events is similar between EUS-GE and D-SEMS, EUS-GE requires a higher level of operator expertise to ensure safety and may also require deeper levels of anesthesia than D-SEMS. Advancements in cancer therapy have prolonged survival in PDAC patients, but most do not require reintervention for MGOO, unlike those with other malignancies. Thus, EUS-GE may be suitable for patients with a longer life span who are willing to undergo deep anesthesia at a high-volume center with an experienced specialist. Given these considerations, more comprehensive studies are needed before EUS-GE can be recommended as a standard replacement for D-SEMS in the treatment of MGOO.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

This comprehensive review synthesizes the latest advancements in understanding inflammatory disorders affecting cerebral small vessels, a distinct yet understudied category within cerebral small vessel diseases (SVD). Unlike classical SVD, these inflammatory conditions exhibit unique clinical presentations, imaging patterns, and pathophysiological mechanisms, posing significant diagnostic and therapeutic challenges. Highlighting their heterogeneity, this review spans primary angiitis of the central nervous system, cerebral amyloid angiopathy-related inflammation, systemic vasculitis, secondary vasculitis, and vasculitis in autoinflammatory diseases. Key discussions focus on emerging insights into immune-mediated processes, neuroimaging characteristics, and histopathological distinctions. Furthermore, this review underscores the importance of standardized diagnostic frameworks, individualized immunomodulation approaches, and novel targeted therapies to address unmet clinical demands.
Humans ; Cerebral Small Vessel Diseases/pathology* ; Inflammation/pathology* ; Cerebral Amyloid Angiopathy/pathology* ; Vasculitis, Central Nervous System/pathology* ; Vasculitis/pathology*

Based on the pharmacokinetics theory, this study investigated the pharmacokinetic characteristics of albiflorin, paeoniflorin, wogonoside, and wogonin in normal and febrile rats and summarized absorption and elimination rules of Dayuanyin in them to provide reference for further development and clinical application of Dayuanyin. Blood samples were taken from the fundus venous plexus of normal and model rats after intragastric administration of Dayuanyin at different time points. The concentration of each substance in blood was determined by ultra performance liquid chromatography-triple quadrupole mass spectrometry(UPLC-MS/MS) technique at different time points. DAS 2.0, a piece of pharmacokinetics software, was used to calculate the pharmacokinetic parameters of each component. The results show that the 4 components had good linear relationship in their respective ranges, and the results of methodological investigation met the requirements. The pharmacokinetic parameters of C_(max), T_(max), t_(1/2), AUC_(0-t), AUC_(0-∞), and MRT_(0-t) were calculated by the DAS 2.0 non-compartmental model. Compared with those in the normal group, C_(max) and AUC_(0-t) of the 4 components in the model group were significantly increased. There were significant differences in the pharmacokinetic characteristics between the normal and model groups, suggesting that the absorption and elimination of Dayuanyin may be affected by the changes of internal environment of the body in different physiological states.
Animals ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rats, Sprague-Dawley ; Fever/metabolism* ; Tandem Mass Spectrometry ; Chromatography, High Pressure Liquid ; Glucosides/pharmacokinetics* ; Monoterpenes

Based on ultra-performance liquid chromatography-quadrupole-electrostatic field Orbitrap high-resolution mass spectrometry(UPLC-Q-Orbitrap HRMS) technology and molecular docking, the bitter-tasting substances(hereafter referred to as "bitter substances") in Cistanche deserticola extract were investigated, and the bitter taste and efficacy relationship was explored to lay the foundation for future research on de-bittering and taste correction. Firstly, UPLC-Q-Orbitrap HRMS was used for the qualitative analysis of the constituents of C. deserticola, and 69 chemical components were identified. These chemical components were then subjected to molecular docking with the bitter taste receptor, leading to the screening of 20 bitter substances, including 6 phenylethanol glycosides, 5 flavonoids, 3 phenolic acids, 2 cycloalkenyl ether terpenes, 2 alkaloids, and 2 other components. Nine batches of fresh C. deserticola samples were collected from the same origin but harvested at different months. These samples were divided into groups based on harvest month and plant part. The bitterness was quantified using an electronic tongue, and the content of six potential bitter-active compounds(pineconotyloside, trichothecene glycoside, tubulin A, iso-trichothecene glycoside, jinshihuaoside, and jingnipinoside) was determined by high-performance liquid chromatography(HPLC). The total content of phenylethanol glycosides, polysaccharides, alkaloids, flavonoids, and phenolic acids was determined using UV-visible spectrophotometry. Chemometric analyses were then conducted, including Pearson's correlation analysis, gray correlation analysis, and orthogonal partial least squares discriminant analysis(OPLS-DA), to identify the bitter components in C. deserticola. The results were consistent with the molecular docking findings, and the two methods mutually supported each other. Finally, network pharmacological predictions and analyses were performed to explore the relationship between the targets of bitter substances and their efficacy. The results indicated that key targets of the bitter substances included EGFR, PIK3CB, and PTK2. These substances may exert their bitter effects by acting on relevant disease targets, confirming that the bitter substances in C. deserticola are the material basis of its bitter taste efficacy. In conclusion, this study suggests that the phenylethanol glycosides, primarily pineconotyloside, mauritiana glycoside, and gibberellin, are the material basis for the "bitter taste" of C. deserticola. The molecular docking technique plays a guiding role in the screening of bitter substances in traditional Chinese medicine(TCM). The bitter substances in C. deserticola not only contribute to its bitter taste but also support the concept of the "taste-efficacy" relationship in TCM, providing valuable insights and references for future research in this area.
Molecular Docking Simulation ; Taste ; Chromatography, High Pressure Liquid ; Cistanche/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Humans ; Mass Spectrometry

To elucidate the mechanism by which steaming affects the quality of Curcuma kwangsiensis root tubers, methods such as LSCM, RVA, dual-wavelength spectrophotometry, LF-NMR, and LC-MS were employed to qualitatively and quantitatively detect changes in starch gelatinization characteristics, water distribution, and material composition of C. kwangsiensis root tubers under different steaming durations. Based on multivariate statistical analysis, the correlation between differences in gelatinization parameters, water distribution, and terpenoid material composition was investigated. The results indicate that steaming affects both starch gelatinization and water distribution in C. kwangsiensis. During the steaming process, transformations occur between amylose and amylopectin, as well as between semi-bound water and free water. After 60 min of steaming, starch gelatinization and water distribution reached an equilibrium state. The content of amylopectin, the amylose-to-amylopectin ratio, and parameters such as gelatinization temperature, viscosity, breakdown value, and setback value were significantly correlated(P≤0.05). Additionally, the amylose-to-amylopectin ratio was significantly correlated with total free water and total water content(P≤0.05). Steaming induced differences in the material composition of C. kwangsiensis root tubers. Clustering of primary metabolites in the OPLS-DA model was distinct, while secondary metabolites were classified into 9 clusters using the K-means clustering algorithm. Differential terpenoid metabolites such as(-)-α-curcumene were significantly correlated with zerumbone, retinal, and all-trans-retinoic acid(P<0.05). Curcumenol was significantly correlated with isoalantolactone and ursolic acid(P<0.05), while all-trans-retinoic acid was significantly correlated with both zerumbone and retinal(P<0.05). Alpha-tocotrienol exhibited a significant correlation with retinal and all-trans-retinoic acid(P<0.05). Amylose was extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and α-tocotrienol(P<0.05). Amylopectin was significantly correlated with zerumbone(P<0.05) and extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and 9-cis-retinoic acid(P<0.01). The results provide scientific evidence for elucidating the mechanism of quality formation of steamed C. kwangsiensis root tubers as a medicinal material.
Curcuma/chemistry* ; Starch/chemistry* ; Multivariate Analysis ; Water/chemistry* ; Terpenes/analysis* ; Plant Roots/chemistry* ; Plant Tubers/chemistry* ; Drugs, Chinese Herbal/chemistry*

Based on the ultra performance liquid chromatography-quadrupole Exactive Orbitrap mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) technology, combined with related literature, databases, and reference material information, this study qualitatively analyzed the components of Dayuanyin in the tissue of rats after gavage and employed molecular docking technology to predict the rationality of the mechanism behind the antipyretic effect of the in vivo components in Dayuanyin. A total of 21, 26, 20, 21, 14, and 31 prototype components and 3, 16, 3, 7, 5, and 24 metabolites were identified from the heart, liver, spleen, lung, kidney, and hypothalamus of the rats, respectively, and the binding ability of key components and targets was further verified by molecular docking. The results showed that all components had good binding ability with targets. The established UPLC-Q-Exactive Orbitrap-MS could effectively and quickly identify the Dayuanyin components distributed in tissue and preliminarily identify their metabolites. Many components were identified in the hypothalamus, which suggested that the components delivered to the brain should be focused on in the study on Dayuanyin in the treatment of febrile diseases. The molecular docking technology was used to predict the rationality of the mechanism behind its antipyretic effect, which lays the foundation for the clarification of the material basis and action mechanism of Dayuanyin, the development of new preparations, and the prediction of quality markers.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Rats ; Molecular Docking Simulation ; Male ; Antipyretics/metabolism* ; Rats, Sprague-Dawley ; Tissue Distribution ; Mass Spectrometry ; Chromatography, High Pressure Liquid ; Hypothalamus/metabolism*

Objective:To investigate the therapeutic efficacy of autologous hematopoietic stem cell transplantation (auto-HSCT) for treatment of diffuse large B-cell lymphoma (DLBCL) and the factors affecting the prognosis.Methods:A retrospective case series study was conducted. The clinical data of 51 patients with DLBCL who underwent auto-HSCT in the First Affiliated Hospital of Xinjiang Medical University from March 2019 to January 2024 were retrospectively analyzed. Patients were divided into high-risk group (19 cases) and non-high-risk group (low-risk, low-moderate-risk and moderate-high-risk groups, 32 cases) based on different risk stratifications; patients were divided into the germinal center B-cell (GCB) group (29 cases) and non-GCB group (22 cases) based on different cellular origins; patients were divided into BEAM group (39 cases) and BeEAM group (12 cases) based on different conditioning regimens before auto-HSCT; patients were divided into auto-HSCT consolidation therapy group (41 cases) and auto-HSCT after relapsed/refractory group (10 cases) based on different transplantation timings. The Kaplan-Meier method was used for survival analysis and log-rank was used for subgroup comparison.Results:All 51 patients achieved the hematopoietic reconstitution with no transplantation-related death within 100 d. Before auto-HSCT, 39 cases achieved complete remission and 12 cases (23.5%) achieved partial remission. After auto-HSCT, all cases achieved complete remission. Follow-up was until May 31, 2024, and the median follow-up time [ M ( Q1, Q3)] of 51 DLBCL patients was 33 (8, 43) months. After 51 DLBCL patients receiving auto-HSCT, 7 patients relapsed and 6 cases died including 3 cases with relapse-related death and 3 cases with non relapse-related death. The 3-year progression-free survival (PFS) and overall survival (OS) rates were 78.5% (95% CI: 64.4%-92.6%) and 85.5% (95% CI: 73.2%-97.8%), respectively. The 3-year PFS rate was 94.7% (95% CI: 84.7%-104.7%) in the high-risk group, 82.2% (95% CI: 67.9%-96.5%) in the non-high-risk group, and the difference in the PFS was not statistically significant between the high-risk group and the non-high-risk group ( P = 0.158). The 3-year PFS rate was 80.1% (95% CI: 64.4%-95.8%) in the GCB group, 88.1% (95% CI: 72.3%-104.2%) in the non-GCB group, and the difference in PFS was not statistically significant between the 2 groups ( P = 0.803). The 3-year PFS rate was 84.9% (95% CI: 72.6%-97.2%) in BEAM group, 61.1% (95% CI: 25.0%-97.2%) in the BeEAM group, and the difference in PFS was not statistically significant between the 2 groups ( P = 0.106). The 3-year PFS rate was 85.4% (95% CI: 73.4%-97.4%) in the auto-HSCT consolidation therapy group, 64.3% (95% CI: 31.4%-96.4%) in the auto-HSCT after relapsed/refractory group, and the difference in PFS was not statistically significant between the 2 groups ( P = 0.171). Conclusions:auto-HSCT is an effective therapy method for DLBCL.

Objective To explore the role of plasma exosome microRNA-622(miR-622)in cachexia of hep-atocellular carcinoma(HCC).Methods Select preoperative blood samples from 40 patients with stage Ⅲ-ⅣHCC and 33 patients with non HCC liver benign diseases collected at Huashan Hospital,Fudan University from 2021 to 2024 as the research subjects.Exosomes were isolated from the plasma of patients,human HCC cell lines(HepG2,Hep3B,PLC,Huh7),and the culture supernatants of primary human hepatocytes(PHH)by differential centrifugation.The relative expression level of miR-622 was detected by real-time fluorescence quantitative polymerase chain reaction.The level of lipolysis was assessed by determining the concentration of glycerol and fatty acids in adipocyte culture medium.Results Plasma exosome miR-622 levels in HCC pa-tients were positively correlated with subcutaneous adipose index and visceral adipose index(r=0.516,0.539,P＜0.05).HCC cell conditional medium was able to significantly increase the lipolysis level of adipo-cytes.The relative expression levels of miR-622 in exosomes from HCC cells(HepG2,Hep3B,PLC,Huh7)were significantly lower than those in exosomes from PHH,with values of 0.13±0.04,0.28±0.08,0.23±0.07,and 0.24±0.04,respectively,compared to 1.00±0.18 in PHH exosomes.Further studies revealed that plasma exosome of HCC patients treatment was able to lead to a decrease in the relative expression level of miR-622 in adipocytes,as well as an enhancement of lipolysis.Conclusion The expression of plasma exosomal miR-622 is downregulated in HCC patients.HCC cells can deliver miR-622 to adipocytes via exosomes to reg-ulate lipolysis.Plasma exosomal miR-622 may serve as a potential biomarker for predicting HCC cachexia and a therapeutic target.

BackgroundNon-suicidal self-injury （NSSI） represents a prevalent clinical feature among adolescent patients with major depressive disorder. Existing research has suggested that interoceptive awareness might be linked to NSSI behaviors， but investigations into this association among adolescent patients with major depressive disorders remain limited. ObjectiveTo elucidate the correlation between NSSI behaviors and interoceptive awareness in adolescent patients with major depressive disorder， and to identify influencing factors of NSSI behaviors， in order to provide clinical prevention and treatment strategies. MethodsA total of 125 adolescent patients who met the diagnostic criteria for major depressive disorder as outlined in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were recruited from the Fourth People's Hospital of Hefei from December 2022 to June 2024. These participants were subsequentially categorized into NSSI behavior group （n=60） and non-NSSI behavior group （n=65） based on the presence or absence of NSSI behaviors. Additionally， a control group comprising 40 healthy adolescents was concurrently assembled for comparison. The Hamilton Depression Scale-17 item （HAMD-17） was used to assess the depressive symptoms of adolescent patients with major depressive disorder， and the Multidimensional Assessment of Interoceptive Awareness version 2- Chinese （MAIA-2） was used to evaluate the interoceptive awareness level of all subjects. Pearson correlation analysis was employed to examine the correlation between HAMD-17 scores and MAIA-2 scores. Binary Logistic regression analysis was conducted to identify the influencing factors of NSSI behaviors in adolescent patients. Then the receiver operating characteristic （ROC） curve was drawn to verify the predictive efficacy of MAIA-2 scores for NSSI behaviors in adolescent patients with major depressive disorder. ResultsSignificant differences were identified across six MAIA-2 subscales （noticing， not distracting， not worrying， attention regulation， emotional awareness， body listening） and the MAIA-2 total score among the three groups （F=18.475， 20.631， 6.044， 5.621， 18.456， 12.889， 12.741， P<0.01）. Correlation analysis underscored a notable negative correlation between the MAIA-2 total score and the HAMD-17 total score， as well as its scores on subscales pertaining to weight and cognitive impairment factors（r=-0.315， -0.203， -0.278， P<0.05）. Binary Logistic regression results indicated that longer disease duration （OR=1.112， 95% CI： 1.043–1.206） and higher HAMD-17 total score （OR=2.071， 95% CI： 1.361–3.150） were risk factors for NSSI behavior in adolescents with depressive disorder， while a higher MAIA-2 total score was a protective factor against NSSI behavior in this population （OR=0.580， 95% CI： 0.407–0.828）. The MAIA-2 total score demonstrated a relatively high predictive value for NSSI behaviors in adolescent patients with major depressive disorder （AUC=0.793）. ConclusionNSSI behaviors in adolescent patients with major depressive disorder are closely related to the disease course， severity of depression， and specific interoceptive awareness patterns. Moreover， interoceptive awareness may serve as a predictive indicator for the occurrence of their NSSI behaviors. ［Funded by the National Key Clinical Specialty Construction Project of China； Anhui Provincial Clinical Key Specialty Construction Project； the Hospital-Level Scientific Research Project of the Fourth People's Hospital of Hefei （number， HFSY2022YB07）］