ObjectiveTo explore the possible mechanisms by which ligustilide （LIG） exerts neuroprotective effects on ischemic stroke （IS） by inhibiting the release of neutrophil extracellular traps （NETs）， promoting blood-brain barrier repair， and alleviating post-ischemic neuroinflammation， thereby providing a new direction for IS treatment. MethodsA middle cerebral artery occlusion （MCAO） model was established in rats. The rats were divided into the sham operation （Sham） group， model （Model） group， low- and high-dose LIG groups （20， 40 mg·kg^-1）， and the NET inhibitor CI-amidine group （CI-amidine， 10 mg·kg^-1）. Drug treatments were administered for 3 days. Neurological injury after ischemia was evaluated by 2，3，5-triphenyltetrazolium chloride （TTC） staining， neurological deficit scoring， and brain index measurement. Flow cytometry and Western blot were used to analyze changes in neutrophil expression. Immunofluorescence was used to observe the fluorescence intensity of the NET marker citrullinated histone H3 （H3Cit）. Western blot was performed to detect the expression of blood-brain barrier tight junction-related proteins and inflammatory factors， including interleukin-18 （IL-18） and interleukin-1β （IL-1β）. ResultsCompared with the Sham group， the Model group exhibited significant brain tissue injury （P<0.05）， significantly increased neutrophil numbers and NET expression （P<0.05）， significantly impaired blood-brain barrier permeability （P<0.05）， and significantly increased expression of inflammatory factors （P<0.05）. Compared with the Model group， both low- and high-dose LIG significantly alleviated brain tissue injury in rats （P<0.01）， inhibited neutrophil numbers and NET expression （P<0.01）， reduced blood-brain barrier damage （P<0.01）， and suppressed the expression of inflammatory factors IL-18 and IL-1β （P<0.01）， thereby ultimately exerting a neuroprotective effect. ConclusionThe neuroprotective effect of LIG in rats with cerebral ischemia-reperfusion injury may be related to inhibition of neutrophils and the NETs induced by them.

ObjectiveTo explore the possible mechanisms by which ligustilide （LIG） exerts neuroprotective effects on ischemic stroke （IS） by inhibiting the release of neutrophil extracellular traps （NETs）， promoting blood-brain barrier repair， and alleviating post-ischemic neuroinflammation， thereby providing a new direction for IS treatment. MethodsA middle cerebral artery occlusion （MCAO） model was established in rats. The rats were divided into the sham operation （Sham） group， model （Model） group， low- and high-dose LIG groups （20， 40 mg·kg^-1）， and the NET inhibitor CI-amidine group （CI-amidine， 10 mg·kg^-1）. Drug treatments were administered for 3 days. Neurological injury after ischemia was evaluated by 2，3，5-triphenyltetrazolium chloride （TTC） staining， neurological deficit scoring， and brain index measurement. Flow cytometry and Western blot were used to analyze changes in neutrophil expression. Immunofluorescence was used to observe the fluorescence intensity of the NET marker citrullinated histone H3 （H3Cit）. Western blot was performed to detect the expression of blood-brain barrier tight junction-related proteins and inflammatory factors， including interleukin-18 （IL-18） and interleukin-1β （IL-1β）. ResultsCompared with the Sham group， the Model group exhibited significant brain tissue injury （P<0.05）， significantly increased neutrophil numbers and NET expression （P<0.05）， significantly impaired blood-brain barrier permeability （P<0.05）， and significantly increased expression of inflammatory factors （P<0.05）. Compared with the Model group， both low- and high-dose LIG significantly alleviated brain tissue injury in rats （P<0.01）， inhibited neutrophil numbers and NET expression （P<0.01）， reduced blood-brain barrier damage （P<0.01）， and suppressed the expression of inflammatory factors IL-18 and IL-1β （P<0.01）， thereby ultimately exerting a neuroprotective effect. ConclusionThe neuroprotective effect of LIG in rats with cerebral ischemia-reperfusion injury may be related to inhibition of neutrophils and the NETs induced by them.

BACKGROUND: Iron deposition plays a crucial role in the pathophysiology of Parkinson's disease (PD), yet the distribution pattern of iron deposition in the subcortical nuclei has been inconsistent across previous studies. We aimed to assess the difference patterns of iron deposition detected by quantitative iron-sensitive magnetic resonance imaging (MRI) between patients with PD and patients with atypical parkinsonian syndromes (APSs), and between patients with PD and healthy controls (HCs). METHODS: A systematic literature search was conducted on PubMed, Embase, and Web of Science databases to identify studies investigating the iron content in PD patients using the iron-sensitive MRI techniques (R2 * and quantitative susceptibility mapping [QSM]), up until May 1, 2023. The quality assessment of case-control and cohort studies was performed using the Newcastle-Ottawa Scale, whereas diagnostic studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2. Standardized mean differences and summary estimates of sensitivity, specificity, and area under the curve (AUC) were calculated for iron content, using a random effects model. We also conducted the subgroup-analysis based on the MRI sequence and meta-regression. RESULTS: Seventy-seven studies with 3192 PD, 209 multiple system atrophy (MSA), 174 progressive supranuclear palsy (PSP), and 2447 HCs were included. Elevated iron content in substantia nigra (SN) pars reticulata ( P <0.001) and compacta ( P <0.001), SN ( P <0.001), red nucleus (RN, P <0.001), globus pallidus ( P <0.001), putamen (PUT, P = 0.021), and thalamus ( P = 0.029) were found in PD patients compared with HCs. PD patients showed lower iron content in PUT ( P <0.001), RN ( P = 0.003), SN ( P = 0.017), and caudate nucleus ( P = 0.017) than MSA patients, and lower iron content in RN ( P = 0.001), PUT ( P <0.001), globus pallidus ( P = 0.004), SN ( P = 0.015), and caudate nucleus ( P = 0.001) than PSP patients. The highest diagnostic accuracy distinguishing PD from HCs was observed in SN (AUC: 0.85), and that distinguishing PD from MSA was found in PUT (AUC: 0.90). In addition, the best diagnostic performance was achieved in the RN for distinguishing PD from PSP (AUC: 0.86). CONCLUSIONS: Quantitative iron-sensitive MRI could quantitatively detect the iron content of subcortical nuclei in PD and APSs, while it may be insufficient to accurately diagnose PD. Future studies are needed to explore the role of multimodal MRI in the diagnosis of PD. REGISTRISION PROSPERO (CRD42022344413).
Humans ; Parkinson Disease/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Iron/metabolism*

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

Osteoarthritis(OA),a common age-related chronic disease,is characterized by degenerative changes in the joints and surrounding tissues.Traditionally,research on OA has primarily focused on the pathological changes in articular cartilage and its repair.However,with the advancements in animal disease modeling in recent years,especially the widespread use of spatiotemporally specific transgenic mouse models,scholars have gradually come to realize that the subchondral bone also plays an important role in the occurrence and development of OA.That is,the pathological changes in articular cartilage and bone mutually affect and promote each other,jointly driving the progression of OA,involving such pathological processes as vascular invasion,ectopic calcification,nerve growth,and the occurrence of pain.Given the complexity of cartilage-bone pathological relationship,it is difficult to conduct in-depth research on subchondral bone pathology using clinical human samples,or to simulate the pathological processes of OA through in vitro cell experiments.Therefore,animal models play an irreplaceable role in investigating the pathological mechanisms of OA and developing clinical drugs.This review,in addition to providing an overview of OA animal models,synthesizes the latest progress in animal experimental research on OA,highlighting the active role of the cartilage-bone pathological relationship in OA progression.These new findings provide references for future in-depth investigations and also provide a theoretical basis for developing fundamental strategies for OA prevention and treatment.

Objective To investigate the application efficiency and potential of CT radiomics in differentiating malignant and benign sub-centimeter solid pulmonary nodules. Methods A retrospective study was performed on the sub-centimeter ( ≤ 10 mm) solid pulmonary nodules detected by enhanced CT in our hospital from March 2020 to January 2023. Malignancy was confirmed by surgical pathology, and benignity was confirmed by surgical pathology or follow-up. Lesions were manually segmented and radiomic features were extracted. The feature dimension was reduced via feature correlation analysis and least absolute shrinkage and selection operator (LASSO). The 5-fold cross validation was used to validate the model. Support vector machine, logistic regression, linear classification support vector machine, gradient boosting, and random forest models were established for CT radiomics. Receiver operating characteristic curves were drawn. Delong test was used to compare the diagnostic performance of the five classifiers. The optimal model was selected and compared to radiologists with medium and high seniority. Results A total of 303 nodules, 136 of which were malignant, were examined. Radiomics models were established after feature extraction and selection. On test set, the areas under the receiver operating characteristic curves of support vector machine, logistic regression, linear classification support vector machine, random forest, and gradient boosting models were 0.922 (95%CI: 0.893, 0.950), 0.910 (95%CI: 0.878, 0.942), 0.905 (95%CI: 0.872, 0.938), 0.899 (95%CI: 0.865, 0.933), and 0.896 (95%CI: 0.862, 0.930), respectively. Delong test indicated no significant differences in the performance of the five radiomics models, and the support vector machine model showed the highest accuracy and F1 score. The support vector machine model showed significantly higher diagnostic accuracy as compared to radiologists (83.8% vs. 55.4%, P < 0.001). Conclusion The radiomics models achieved high diagnostic efficiency and may help to reduce the uncertainty in diagnosis of malignant and benign sub-centimeter solid nodules by radiologists.

Objective:To analyze clinical characteristics of primary pancreatic lymphoma (PPL) patients.Methods:Clinical features of 22 patients diagnosed as PPL admitted to Peking Union Medical College Hospital from January 2002 to May 2023 were analyzed retrospectively.Results:The median age was 56.4±13.3 years. The median time from onset to diagnosis was 1.0 (1.0, 3.0) months. The main clinical manifestations were abdominal pain (15/22), weight loss (14/22) and jaundice (10/22). Elevated lactate dehydrogenase (LDH) was observed in 15/20 (75%) patients. Only 2 (2/9, 22.2%) patients had increased CA199 levels and 2 (2/9, 22.2%) patients had increased CEA levels. The maximum tumor diameter was 5.0 (3.8, 6.9) cm. Contrast-enhanced CT mostly showed low enhancement lesions. Major pancreatic duct dilatation were rare on CT scan (4/20). Fifteen patients were confirmed by pancreatic pathology, of which 8 were obtained by surgery, 4 were obtained by CT or ultrasound-guided percutaneous biopsy, and 3 were obtained by EUS-FNA. The main pathological type was diffuse large B-cell lymphoma (14/22). 19 patients received chemotherapy, and 6 patients died with a median follow-up of 5.0 (1.5, 35.5) months.Conclusions:PPL is rare and easy to be misdiagnosed. Elevated LDH levels, normal tumor markers, and non-dilatation of main pancreatic duct are important diagnostic clues. It is important to obtain pathology by EUS-FNA and other methods for definite diagnosis.

Aortic stenosis(AS)is a structural change in aortic valve caused by congenital or acquired factors,and its incidence increases with age.Transcatheter aortic valve replacement(TAVR)is a safe and feasible minimally invasive treatment for severe AS.Since it was first approved by FDA in 2011 for severe AS which cannot be treated surgically,its indications have been extended to AS patients with low to moderate surgical risk.The placed prosthetic valves could compress the atrioventricular conduction system at the aortic root,leading to the development of postoperative cardiac conduction abnormalities,for which permanent pacemaker implantation(PPMI)is a treatment option.And post-TAVR PPMI is closely related to the prognosis of AS patients.Therefore,this article reviews predictors of conduction dysfunction and PPMI after TAVR.

Objective:To explore the efficacy of adjusting the dose of imatinib dose in the context of therapeutic drug monitoring (TDM) in patients with gastrointestinal stromal tumors (GISTs) who are receiving adjuvant therapy after complete resection of their tumors.Methods:This was a descriptive study. Inclusion criteria were (1) complete surgical resection with a pathological diagnosis of GIST, (2) postoperative adjuvant therapy with imatinib and dosage adjustment, (3) multiple TDM of imatinib, and (4) complete clinical, pathological, and follow-up data. The data of 70 patients with GISTs treated at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between January 2015 and December 2023 were collected retrospectively. The study cohort comprised 15 (21.4%) men and 55 (78.6%) women of median age 60 years (range: 25–82). Of the eligible patients, 49 (70.0%) were at high-risk, 14 (20.0%) at intermediate-risk, six (8.6%) at low-risk, and one (1.4%) at very low risk. Patients were followed up by the gastrointestinal stromal tumor clinic every 2–3 months and their plasma concentrations of imatinib were checked. The dose was adjusted to 300 mg/d or 200 mg/d depending on whether they had had ≥ grade III adverse reactions, and whether the first plasma concentration of imatinib was ≥ 1,500 μg/L or between the expected range of 760 μg/L–1,100 μg/L. Studied indicators included adverse reactions, quality of life before and after dose adjustment, and overall survival and recurrence-free survival (RFS) after dose adjustment.Results:Before dose adjustment, all 70 patients received 400 mg of imatinib daily, with initial TDM values of 1,900 ± 568 μg/L, for a median duration of 8.3 months. After dose adjustment, 60 patients received 300 mg daily, with a TDM of 1,216 ± 350 μg/L, whereas 10 received 200 mg daily, with a TDM of 1,023 ± 269 μg/L. The median duration of treatment after dose adjustment was 23.4 months. Compared with those whose dosages were not adjusted, the incidence of bone marrow suppression was significantly lower (74.3% [52/70] vs. 51.4% [36/70], χ 2=9.202, P=0.010); as were the incidences of edema (95.7% [67/70] vs. 50.0% [35/70], χ 2=40.526, P<0.001); skin reactions (70.0% [49/70] vs. 32.9% [23/70), χ 2=22.495, P<0.001); and gastrointestinal reactions (38.6% [27/70] vs. 10.0% [7/70], χ 2=15.899, P<0.001) in those whose dosages were adjusted. The average total scores for physical health before and after dose adjustment were 76 ± 5 and 88 ± 4, respectively; whereas the mental health scores were 75 ± 6 and 89 ± 4, respectively. The median follow-up period was 36 months (range 6–126). During the first 3 years of follow-up, five high-risk patients with non-gastric GISTs developed recurrences. The 3-year overall survival rate was 100%, and the 3-year RFS rate was 92.8%, high-risk patients having a 3-year RFS rate of 89.8%. Conclusion:The adverse reactions and quality of life of GIST patients with severe adverse reactions to adjuvant imatinib therapy after complete resection can be mitigated by appropriately reducing the dosage of imatinib under the guidance of TDM.

Objective:To explore the efficacy of adjusting the dose of imatinib dose in the context of therapeutic drug monitoring (TDM) in patients with gastrointestinal stromal tumors (GISTs) who are receiving adjuvant therapy after complete resection of their tumors.Methods:This was a descriptive study. Inclusion criteria were (1) complete surgical resection with a pathological diagnosis of GIST, (2) postoperative adjuvant therapy with imatinib and dosage adjustment, (3) multiple TDM of imatinib, and (4) complete clinical, pathological, and follow-up data. The data of 70 patients with GISTs treated at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between January 2015 and December 2023 were collected retrospectively. The study cohort comprised 15 (21.4%) men and 55 (78.6%) women of median age 60 years (range: 25–82). Of the eligible patients, 49 (70.0%) were at high-risk, 14 (20.0%) at intermediate-risk, six (8.6%) at low-risk, and one (1.4%) at very low risk. Patients were followed up by the gastrointestinal stromal tumor clinic every 2–3 months and their plasma concentrations of imatinib were checked. The dose was adjusted to 300 mg/d or 200 mg/d depending on whether they had had ≥ grade III adverse reactions, and whether the first plasma concentration of imatinib was ≥ 1,500 μg/L or between the expected range of 760 μg/L–1,100 μg/L. Studied indicators included adverse reactions, quality of life before and after dose adjustment, and overall survival and recurrence-free survival (RFS) after dose adjustment.Results:Before dose adjustment, all 70 patients received 400 mg of imatinib daily, with initial TDM values of 1,900 ± 568 μg/L, for a median duration of 8.3 months. After dose adjustment, 60 patients received 300 mg daily, with a TDM of 1,216 ± 350 μg/L, whereas 10 received 200 mg daily, with a TDM of 1,023 ± 269 μg/L. The median duration of treatment after dose adjustment was 23.4 months. Compared with those whose dosages were not adjusted, the incidence of bone marrow suppression was significantly lower (74.3% [52/70] vs. 51.4% [36/70], χ 2=9.202, P=0.010); as were the incidences of edema (95.7% [67/70] vs. 50.0% [35/70], χ 2=40.526, P<0.001); skin reactions (70.0% [49/70] vs. 32.9% [23/70), χ 2=22.495, P<0.001); and gastrointestinal reactions (38.6% [27/70] vs. 10.0% [7/70], χ 2=15.899, P<0.001) in those whose dosages were adjusted. The average total scores for physical health before and after dose adjustment were 76 ± 5 and 88 ± 4, respectively; whereas the mental health scores were 75 ± 6 and 89 ± 4, respectively. The median follow-up period was 36 months (range 6–126). During the first 3 years of follow-up, five high-risk patients with non-gastric GISTs developed recurrences. The 3-year overall survival rate was 100%, and the 3-year RFS rate was 92.8%, high-risk patients having a 3-year RFS rate of 89.8%. Conclusion:The adverse reactions and quality of life of GIST patients with severe adverse reactions to adjuvant imatinib therapy after complete resection can be mitigated by appropriately reducing the dosage of imatinib under the guidance of TDM.