Objective: To assess the awareness and associated factors of wild mushroom poisoning among students in Guizhou Province, so as to provide a scientific foundation for wild mushroom poisoning prevention and control among students. Methods: By a multi stage stratified cluster random sampling method, 1 162 students from Guizhou Province were selected in May 2024. The questionnaire survey was administered to evaluate knowledge regarding wild mushroom poisoning. Data were analyzed employing the χ 2 test and Logistic regression model. Results: Among the nine questions assessing awareness of wild mushroom poisoning, only three had the awareness rate exceeding 70%. Binary Logistic regression analysis revealed that students who "actively learn about the prevention of wild mushroom poisoning" ( OR=0.48, 95%CI =0.26-0.92) and "spread knowledge about wild mushroom poisoning to others" ( OR=0.47, 95%CI =0.33-0.69) scored higher on the wild mushroom poisoning knowledge questions ( P <0.05). Conversely, students with a habit of consuming wild mushrooms ( OR=1.52, 95%CI =1.15-2.02) scored lower ( P < 0.05 ). 42.3% of the students suggested that scientific dissemination and publicity about wild mushrooms should be intensified. Conclusions The awareness rate of wild mushroom poisoning knowledge among students in Guizhou Province requires further attention. Comprehensive knowledge should be disseminated systematically through various channels to further improve students awareness of the prevention and control of wild mushroom poisoning.

AIM: To explore the efficacy of 0.05% cyclosporine A combined with olopatadine eye drops in treating allergic conjunctivitis-related dry eye disease.METHODS: A total of 63 patients(63 eyes)with allergic conjunctivitis-related dry eye disease in the People's Hospital of Guangxi Zhuang Autonomous Region from August 2022 to April 2023 were enrolled and randomly divided into control group(n=33)and observation group(n=30). The patients of the control group were administrated with 0.1% olopatadine eye drops and 0.3% sodium hyaluronate eye drops, while the observation group was administrated with 0.1% olopatadine eye drops and 0.05% cyclosporine A eye drops. The ocular surface disease index(OSDI), total ocular symptom score(TOSS), conjunctival congestion score, conjunctival papillae and follicle score, Schirmer I test(SⅠt), tear meniscus height(TMH), meibomian gland secretion ability and property score, meibomian gland loss area score, corneal fluorescein staining(CFS), tear film break-up time(BUT), noninvasive first tear film break-up time(NIBUTf), noninvasive average tear film break-up time(NIBUTav)before and after treatment and the drug safety during the treatment period of both groups of patients were evaluated.RESULTS: After treatment, OSDI, TOSS, conjunctival congestion score, conjunctival papillae and follicle score, SⅠt, TMH, meibomian gland secretion ability score and property score, CFS, BUT, NIBUTf, and NIBUTav of the observation group showed improvements compared with those before treatment(all P<0.017). Among these, OSDI, TOSS, conjunctival congestion score, conjunctival papillae and follicle score, BUT, NIBUTf, and NIBUTav demonstrated significant improvement compared with the control group(all P<0.05). There was no statistically significant difference in meibomian gland loss area score between the two groups before and after treatment(P>0.05). During the treatment period, there were no local or systemic adverse reactions.CONCLUSION: The combined use of 0.05% cyclosporine A and olopatadine eye drops can significantly improve ocular discomfort symptoms of patients with dry eye disease associated with allergic conjunctivitis, such as red eyes, itchy eyes and foreign body sensation, promote tear film stability and have high safety.

Objective To investigate the effect and mechanism of dabrafenib （DAB） combined with tremelimumab （TREM） on melanoma. Methods The effects of DAB combined with TREM on cell viability, cytotoxicity and cell migration of A375 cells were evaluated by Cell Counting Kit-8 （CCK-8） method, lactate dehydrogenase （LDH） method and scratch assay. The levels of reactive oxygen species （ROS）, adenosine triphosphate （ATP）, malondialdehyde （MDA）, and superoxide dismutase （SOD） were detected to evaluate the effects of combined drugs on oxidative stress and energy metabolism. In addition, A375 tumor-bearing nude mice model was used to evaluate the inhibitory effect of the combined treatment on tumor growth in vivo, and the degree of cell apoptosis and cell proliferation in tumor tissues were analyzed by terminal deoxynucleotidyl transferase-mediated dutP Nick end labeling （TUNEL） and proliferating cell nuclear antigen （PCNA） immunohistochemical staining. Results The combined treatment significantly inhibited the survival rate and migration ability of A375 cells and enhanced the cytotoxicity. The combined intervention also significantly increased ROS level, decreased ATP, SOD and MDA levels. It effectively inhibited tumor growth in tumor-bearing nude mice, increased the apoptosis rate of tumor cells and inhibited cell proliferation. Conclusion DAB combined with TREM may improve the therapeutic effect of melanoma by enhancing oxidative stress, inhibiting energy metabolism, and promoting cell apoptosis. This combination therapy may provide a new therapeutic strategy to overcome the limitations of singledrug therapy.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

The p21-activated kinase 4 (PAK4), a key regulator of malignancy, is negatively correlated with immune infiltration and has become an emergent drug target of cancer therapy. Given the lack of high efficacy PAK4 inhibitors, we herein reported the identification of a novel inhibitor 13 bearing a tetrahydrobenzofuro[2,3-c]pyridine tricyclic core and possessing high potency against MIA PaCa-2 and Pan02 cell lines with IC₅₀ values of 0.38 and 0.50 μmol/L, respectively. This compound directly binds to PAK4 in a non-ATP competitive manner. In the mouse Pan02 model, compound 13 exhibited significant tumor growth inhibition at a dose of 100 mg/kg, accompanied by reduced levels of PAK4 and its phosphorylation together with immune infiltration in mice tumor tissue. Overall, compound 13 is a novel allosteric PAK4 inhibitor with a unique tricyclic structural feature and high potency both in vitro and in vivo, thus making it worthy of further exploration.

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Objective:To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.Methods:Three thousand and three hundred individuals undergoing surveillance for chromosomal disorders at the Laboratory for Comprehensive Prevention and Treatment of Birth Defects, Ningbo Maternal and Child Health Care Hospital from January 2013 to July 2019 were enrolled. A total of 3 300×46 chromosome images were included, of which 70% were used as the training set and 30% were used as the test set for the deep CNN. The accuracy of chromosome counting and "cutting + recognition + arrangement + automatic analysis" of the model were respectively evaluated. Another 80 images were collected to record the time and accuracy of chromosome classification by geneticists and the model, respectively, so as to assess the practical value of the model.Results:The CNN model was used to count the chromosomes with an accuracy of 61.81%, and the "cutting + recognition + arrangement + automatic analysis" accuracy of the model was 96.16%. Compared with manual operation, the classification time of the CNN model has been greatly reduced, and its karyotyping accuracy was only 3.58% lower than that of geneticists.Conclusion:The CNN model has a high performance for chromosome classification and can significantly reduce the work load involved with the segmentation and classification and improve the efficiency of chromosomal karyotyping, thereby has a broad application prospect.

Objective:To investigate the clinicopathological characteristics of giant cell tumor of bone (GCTB) in children.Methods:A total of 35 cases of GCTB diagnosed at Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiaotong University School from 2016 to 2023 were collected, and a retrospective analysis of clinicopathological features and imaging findings was conducted.Results:Pediatric GCTB accounted for approximately 4.6% of total GCTB cases during the study period. There were 11 males and 24 females. The onset age ranged from 9 to 18 years (mean age 15 years, median age 16 years), with 8 cases (8/35, 22.9%) experiencing postoperative recurrence. Twenty-eight cases (28/35, 80%) primarily affected long bones, while 7 cases involved small or irregular bones. Imaging revealed osteolytic changes as the predominant feature, with 3 cases exhibited open physis, one of which had the tumor primarily at the diaphysis without crossing the physis. Histologically, pediatric GCTB resembled adult cases, characterized by mononuclear cells and osteoclast-like giant cells. Seven cases with denosumab treatment demonstrated degrees of giant cell disappearance, increased fibrous tissue and reactive bone proliferation in the stroma. One case was diagnosed as pediatric multicentric GCTB, and three cases as pediatric primary malignant GCTB, with malignant transformation into osteosarcoma. In all 35 cases, mutations in the H3F3A gene were identified, comprising 32 cases with H3.3 p.G34W mutations, one case with H3.3 p.G34V mutation, and 2 cases with H3.3 p.G34L mutations. Notably, the former two categories were successfully validated at the protein level through immunohistochemical staining, utilizing highly specific antibodies tailored for these mutation types: H3.3 p.G34W antibody and H3.3 p.G34V antibody. However, immunohistochemical staining was not available for the last category.Conclusions:Pediatric GCTB predominantly affects females and occurs primarily in long bones, mainly around the knee joint, the majority of tumors predominantly arise in the epiphysis and extend into the metaphysis; however, in cases where the epiphyseal plates are still unclosed, the tumors may be restricted to the metaphysis. Detection of H3F3A gene mutation is crucial for the diagnosis and differential diagnosis of pediatric GCTB.

Objective To evaluate the antioxidant function of Chrysanthemum morifolium from different origins and to identify their antioxidant material basis.Methods The HPLC fingerprints of the water extracts of C.morifolium from different origins were established.The antioxidant activities of C.morifolium were assayed by measuring the 2.2-diphenyl-l-picrylhydrazyl(DPPH),hydroxyl radical,ABTS,superoxide anion radical scavenging capacity and ferric ion reducing capacity FRAP.Entropy-weighted TOPSIS was used to calculate the weighting coefficients of the single indexes.Grey relational analysis(GRA)and partial least squares were used for spectrum-effect analysis to identify the antioxidant material basis of C.morifolium.Results A total of 16 common peaks were discovered in the fingerprint of the water extracts of 10 batches of C.morifolium,among which 13 common components were identified.All the C.morifolium samples had good antioxidant capacity,and the results of entropy-weighted TOPSIS analysis showed that the ranking of total antioxidant potency of 10 batches of C.morifolium was follows:S1＞S8＞S3＞S5＞S4＞S10＞S7＞S2＞S9＞S6.The peaks of 1-5,9,10,12,14 were positively correlated with the antioxidant activity and the variable influence on projection(VIP)values were greater than 1.The correlation coefficients of these nine peaks in GRA were all greater than 0.7.Conclusion The entropy-weighted TOPSIS method combined with the spectrum-effect analysis could be used to screen out the antioxidant material basis of C.morifolium and the results provide a basis for establishing quality assessment system for C.morifolium based on Quality-markers thus improving the quality control level.

Objective:To analyze the efficacy of allo-HSCT with total body irradiation (TBI) and chemotherapy alone in the treatment of adult ALL and to explore the factors affecting prognosis.Methods:The clinical data of 95 adult patients with ALL who underwent allo-HSCT from January 2015 to August 2022 were included. According to the conditioning regimen, the patients were divided into two groups: the TBI plus cyclophosphamide (TBI/Cy) group ( n=53) and the busulfan plus cyclophosphamide (Bu/Cy) group ( n=42). Hematopoietic reconstitution after transplantation, GVHD, transplantation-related complications, relapse rate (RR), non-relapse mortality (NRM), OS, and LFS were compared, and the factors related to prognosis were analyzed. Results:The median time of neutrophil engraftment was 14 (10-25) days in the TBI/Cy group and 14 (10-24) days in the Bu/Cy group ( P=0.106). The median time of megakaryocyte engraftment was 17 (10-42) days in the TBI/Cy group and 19 (11-42) days in the Bu/Cy group ( P=0.488). The incidence of grade Ⅱ-Ⅳ acute GVHD (aGVHD) in the TBI/Cy and Bu/Cy groups was 41.5% and 35.7%, respectively ( P=0.565). The incidence of grade Ⅲ-Ⅳ aGVHD in these two groups was 24.5% and 4.8%, respectively ( P=0.009). The incidence of severe chronic GVHD in the two groups was 16.7% and 13.5%, respectively ( P=0.689). The incidence of cytomegalovirus infection, Epstein-Barr virus infection, severe infection, and hemorrhagic cystitis in the two groups was 41.5% and 35.7% ( P=0.565), 34.0% and 35.7% ( P=0.859), 43.4% and 33.3% ( P=0.318), and 20.8% and 50.0% ( P=0.003), respectively. The median follow-up time was 37.1 months and 53.3 months in the TBI/Cy and Bu/Cy groups, respectively. The 2-year cumulative RR was 17.0% in the TBI/Cy group and 42.9% in the Bu/Cy group ( P=0.017). The 2-year cumulative NRM was 24.5% and 7.1%, respectively ( P=0.120). The 2-year LFS was 58.5% and 50.0%, respectively ( P=0.466). The 2-year OS rate was 69.8% and 64.3%, respectively ( P=0.697). In the multivariate analysis, the conditioning regimen containing TBI was a protective factor for relapse after transplantation ( HR=0.304, 95% CI 0.135-0.688, P=0.004), whereas the effect on NRM was not significant ( HR=1.393, 95% CI 0.355-5.462, P=0.634). Infection was an independent risk factor for OS after allo-HSCT in adult patients with ALL. Conclusion:allo-HSCT based on TBI conditioning regimen had lower relapse rate and lower incidence of hemorrhagic cystitis for adult ALL, compared with chemotherapy regimen. While the incidence o grade Ⅲ/Ⅳ aGVHD was hgher in TBI conditioning regimen than that in chemotherapy regimen.