Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Background: Hearing loss (HL) is one of the most common sensory disorders, affecting over 5-8% of the world's population. Approximately half of HL cases are attributed to genetic factors. In hereditary deafness, about 75-80% is inherited through autosomal recessive inheritance, and common pathogenic genes include GJB2 and SLC26A4. Pathogenic variants in the SLC26A4gene are the leading cause of hereditary hearing loss in humans, second only to the GJB2 gene. Variants in the SLC26A4gene cause hearing loss, which can be non-syndromic autosomal recessive deafness (DFNB4, OMIM #600791) associated with enlarged vestibular aqueduct (EVA) or Pendred syndrome (Pendred, OMIM #605646). DFNB4 is characterized by sensorineural hearing loss combined with EVA or less common cochlear malformation defect. Pendred syndrome is characterized by bilateral sensorineural hearing loss with EVA and an iodine defect that can lead to thyroid goiter. Currently, it is known that EVA is associated with variants in the SLC26A4 gene and is a penetrant feature of SLC26A4-related HL. Predominant mutations in these genes differ significantly across populations. For instance, predominant SLC26A4 mutations differ among populations, including p.T416P and c.1001G>A in Caucasians, p.H723R in Japanese and Koreans, and c.919-2A>G in Han Taiwanese and Han Chinese. On the other hand, there has been no study of hearing loss related to SLC26A4 gene variants among Mongolians, which is the basis of our research. Aim: We aimed to identify the characteristics of the SLC26A4 gene variants in Mongolian people with Enlarged vestibular aqueduct and Mondini malformation. Materials and Methods: In 2022-2024, We included 13 people with hearing loss and enlarged vestibular aqueduct, incomplete cochlea (1.5 turns of the cochlea with cystic apex- incomplete partition type II- Mondini malformation) were examined by CT scan of the temporal bone in our study. WES (Whole exome sequencing) analysis was performed in the Genetics genetic-laboratory of the National Taiwan University Hospital. Results: Genetic analysis revealed 26 confirmed pathogenic variants of bi-allelic SLC26A4 gene of 8 different types in 13 cases, and c.919-2A>G variant was dominant with 46% (12/26) in allele frequency, and c.2027T>A (p.L676Q) variant 19% (5/26), c.1318A>T(p.K440X) variant 11% (3/26), c.1229C>T (p.T410M) variant 8% (2/26) ) , c.716T>A (p.V239D), c.281C>T (p.T94I), c.1546dupC, and c.1975G>C (p.V659L) variants were each 4% (1/26)- revealed. Two male children, 11 years old (SLC26A4: c.919-2A>G) and 7 years old (SLC26A4: c.919-2A>G:, SLC26A4: c.2027T>A (p.L676Q))had history of born normal hearing and progressive hearing loss. Conclusions 1. 26 variants of bi-allelic SLC26A4 gene mutation were detected in Mongolian people with EVA and Mondini malformation, and c.919-2A>G was the most dominant allele variant, and rare variants such as c.1546dupC, c.716T>A (p.V239D) were detected. 2. Our study shows that whole-exome sequencing (WES) can identify gene mutations that are not detected by polymerase chain reaction (PCR) or NGS analysis.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Lung cancer is one of the most common cancers worldwide, and its mortality rate remains high. In addition to conventional surgery, radiotherapy, and chemotherapy, immunotherapy methods have been developed and used in recent years for the treatment of non-small cell lung cancer (NSCLC). However, only a small number of patients with NSCLC can benefit from immunotherapy strategies, and some patients even have hyperprogression after receiving immunotherapy. Therefore, precision immunotherapy requires effective biomarkers to guide it. In this paper, tissue samples, blood samples, intestinal microbiota, and other biomarkers are reviewed according to different sample sources. Blood samples, including TCR immune repertoire, Tregs cells, cytokines, lactate dehydrogenase, and other markers, are summarized and analyzed to provide reference for clinicians' diagnosis and treatment decisions.

Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

Objective:To investigate the evaluation efficacy and predictive prognostic value of alpha-fetoprotein (AFP) response in tyrosine kinase inhibitors (TKIs) in combination with PD-1 inhibitors (α-PD-1) for intermediate-to-advanced hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 205 patients with intermediate-to-advanced HCC who were admitted to 9 medical centers, including Mengchao Hepatobiliary Hospital of Fujian Medical University et al, from March 2020 to July 2022 were collected. There were 178 males and 27 females, aged (52±12)years. Based on AFP response at 6-8 weeks after treatment, patients were divided into the AFP response group (AFP level decreased by ≥50% compared to baseline) and the AFP no response group (AFP level decreased by <50% compared to baseline). Observation indicators: (1) AFP response evaluation of anti-tumor efficacy; (2) comparison of patient prognosis; (3) analysis of factors affecting patient prognosis. Measurement data with normal distrubution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range) and M( Q1, Q3). Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. The Kaplan-Meier method was used to draw survival curve and calculate survival rate, and the Log-Rank test was used for survival analysis. The COX proportional risk model was used for univariate analysis and the COX stepwise regression model was used for multivariate analysis. Results:(1) AFP response evaluation of anti-tumor efficacy. Before treatment, all 205 patients were positive of AFP, with a baseline AFP level of 1 560(219,3 400)μg/L. All 205 patients were treated with TKIs in combination with α-PD-1, and the AFP level was 776(66,2 000)μg/L after 6 to 8 weeks of treatment. Of the 205 patients, 88 cases were classified as AFP response and 117 cases were classified as AFP no response. According to the response evaluation criteria in solid tumors version 1.1, the objective response rate (ORR) and disease control rate (DCR) were 42.05%(37/88) and 94.32%(83/88) in patients of the AFP response group and 16.24% (19/117) and 64.10% (75/117) in patients of the AFP no response group, showing significant differences between them ( χ2=16.846, 25.950, P<0.05). According to the modified response evaluation criteria in solid tumors, the ORR and DCR were 69.32% (61/88) and 94.32% (83/88) in patients of the AFP response group and 33.33% (39/117) and 64.10% (75/117) in patients of the AFP no response group, showing significant differences between them ( χ2=26.030, 25.950, P<0.05). (2) Comparison of patient prognosis. All 205 patients were followed up for 12.4(range, 2.4-34.0)months after treatment. The median progression free survival time and total survival time were 5.5 months and 17.8 months, respectively. The 1-year, 2-year progression free survival rates were 20.8% and 7.2%, and the 1-year, 2-year overall survival rates were 68.7% and 31.5%, respectively. The median progression free survival time, 1-year and 2-year progression free survival rates were 9.7 months, 39.6% and 14.2% in patients of the AFP response group and 3.7 months, 7.8% and 2.0% in patients of the AFP no response group, showing a significant difference in progression free survival between them ( χ2=43.154, P<0.05). The median overall survival time, 1-year and 2-year overall survival rates were not reached, 85.2% and 56.3% in patients of the AFP response group and 14.6 months, 56.3% and 14.5% in patients of the AFP no response group, showing a significant difference in overall survival between them ( χ2=33.899, P<0.05). (3) Analysis of factors affecting patient prognosis. Results of multivariate analysis showed that invasion of large blood vessels, extrahepatic metastasis, combined hepatic artery intervention therapy, and AFP response were independent factors influencing progression free survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1 ( hazard ratio=1.474, 1.584, 0.631, 0.367, 95% confidence interval as 1.069-2.033, 1.159-2.167, 0.446-0.893, 0.261-0.516, P<0.05), and Eastern Cooperative Oncology Group score, invasion of large blood vessels, extrahepatic metastasis, and AFP response were independent factors influencing overall survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1 ( hazard ratio= 1.347, 1.914, 1.673, 0.312, 95% confidence interval as 1.041-1.742, 1.293-2.833, 1.141-2.454, 0.197-0.492, P<0.05). Conclusions:AFP response at 6-8 weeks after treatment can effectively evaluate anti-tumor efficacy of TKIs in combination with α-PD-1 for intermediate-to-advanced HCC. AFP response is the independent factor influencing progression free survival and overall survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1.

Objective:To analyze the clinicopathological features of gastric oxyntic gland neo-plasms.Methods:Forty-nine cases of stomach oxyntic gland neoplasms including oxyntic gland adenoma(OGA)and gastric adenocarcinoma of the fundic gland type(GA-FG)diagnosed in the Sec-ond Hospital of Shandong University from January 2016 to December 2020 were selected.The clini cal information,endoscopic appearance,histological features and immunophenotype were analyzed retrospectively,and followed up.Results:Age of the gastric oxyntic gland neoplasm patients ranged from 19 to 83 years old,with an average age of(57.3±2.4)years old.The male-to-female ratio was 24:25.Most of the lesions were located in the gastric body(27/49)and fundus(15/49).There were four endoscopic phenotypes:flat bulging,polypoid,flat and depression.In some lesions,there were dilated dendritic vessels.48 cases were single onset.The mean maximum diameter of lesions was(3.9±0.5)mm(1.0～7.0 mm).Seven cases showed submucosal invasion,and the inva-sion depth was less than 500 μm.The tumor consists of the dense glandular and the glandular con-nects to form a strip shape,which is irregularly branched and labyrinthlike under the microscope.These tumor cells were well differentiated and the morphology was similar to oxyntic gland cells.The chief cells were the predominant cells.The nucleus was mildly enlarged with slight pleomorphism and the mitosis was uncommon.The oxyntic gland neoplasms of the stomach were diffusely posi-tive for Mucin-6(MUC6)(100％)and Pepsinogen Ⅰ(83％),focally positive for H+/K+-ATPase(58％).Conclusions:The stomach oxyntic gland neoplasm is a new histology type with unique clinico-pathological features.The incidence of this neoplasm is low and the prognosis is good but it still needs long-term follow-up.

Objective Liver cancer is the second leading cause of tumor-related death.The efficacy of local thermal ablation is comparable to surgical resection for the early hepatocellular carcinoma(HCC),and the ablation technique is minimally invasive,repeatable,and has a low complication rate.However,early recurrence((2 years)is the main cause of death after HCC ablation,but there is still a lack of accurate and reliable prediction models for early recurrence.Therefore,this survey intended to construct prediction models for early recurrence of HCC after ablation by using preoperative gadoxetic acid disodium-enhanced magnetic resonance(MR)images data combined with radiomics methods,evaluate and verify their predictive efficacy.To explore the application value of contrast-enhanced MRI imaging before ablation in the prognosis assessment of HCC patients,and to provide reliable data and theoretical basis for clinical treatment decisions.Methods A retrospective study was performed on 120 patients with HCC who underwent ablation and all the patients were underwent contrast-enhanced MRI examination within 1 month.A total of 1318 radiomic features were extracted from each patient by using preoperative T2-weighted sequence(T2WI)images of contrast-enhanced MRI.After feature selection,six machine learning algorithms would be used for construction of models and comparison.Finally,Logistic regression analysis was used to establish a clinical model,a radiomics model and a combined model which included the above risk factors and radiologic features.The nomogram was constructed based the combined model to evaluate the differentiation,accuracy and clinical benefit.Results Five radiomic features most closely related to early recurrence were identified and selected for model construction.The radiomic model had effective predictive performance,with AUC of 0.80 in the training sets.Two clinical risk factors associated with early recurrence,including tumor number and peritumoral hypodensity on the hepatobiliary phase,were selected to established a clinical-radiological-radiomics(CRRM)model,with AUC as high as 0.92 in the validation sets.The nomogram of CRRM model was constructed and the calibration curves indicated the goodness of fit.Decision curve analysis further confirmed the clinical usefulness of CRRM model.Conclusion The radiomics model of preoperatively contrast-enhanced MRI-T2WI image features was identified be effective to predict HCC early recurrence.In contrast,the CRRM model could be used as a more comprehensive and superior tool to predict individual probability of early recurrence.Patients at high risk of early recurrence could be identified and the appropriate and effective preoperative treatments could also be taken,to improve the prognosis and long-term survival rate of HCC patients the individualized treatment strategies should be formulated.