Background Silicosis is a fatal form of pulmonary fibrosis caused by the inhalation of silica dust. Although the underlying pathogenesis remains unclear, and the macrophage-mediated immune response plays a central role in its development. Objective To investigate the expression, functional role, and upstream regulatory mechanism of C-C motif chemokine ligand 22 (CCL22) in silica-induced pulmonary fibrosis. Methods Through bioinformatics analysis, we identified CCL22 as a potential key factor in pulmonary fibrosis. We established in vitro models by stimulating human monocytic leukemia cells (THP-1) and peripheral blood mononuclear cell-derived macrophages (PBMC-m) with crystalline silica (CS). The regulation of CCL22 expression by CS was validated using quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA). Subsequently, a conditioned co-culture system comprising macrophages and lung epithelial cells (BEAS-2B) was developed to evaluate the effects of CCL22 on lung epithelial cell function. Furthermore, the molecular mechanisms underlying CS-induced CCL22 secretion by macrophages were investigated using bioinformatics analysis, Western blot, specific inhibitors, qRT-PCR, and ELISA. Results Bioinformatics analysis identified CCL22 as a key upregulated molecule in pulmonary fibrosis. In vitro experiments confirmed that CS treatment significantly enhanced CCL22 mRNA transcription and protein secretion in THP-1 and PBMC-m cells (P<0. 0001). In the co-culture system, supernatant from CS-stimulated macrophages with stable CCL22 knockdown significantly inhibited the scratch-healing ability and fibrotic process of BEAS-2B cells, and reversed the epithelial-mesenchymal transition (EMT) phenotype compared to the control group. Mechanism studies found that, compared to other transcription factors such as signal transducer and activator of transcription 3 (STAT3) and nuclear factor-κB (NF-κB), the inhibition of of specific protein 1 (SP1) most significantly attenuated the CS-induced upregulation of CCL22. Furthermore, pathway inhibition experiments demonstrated that inhibiting extracellular signal-regulated kinase (ERK) reduced both CCL22 expression and p-SP1. Conversely, SP1 intervention did not affect ERK activation. Conclusion CS promotes CCL22 secretion by macrophages through the Raf/ERK-Sp1 signaling pathway, thereby driving fibrotic changes in pulmonary epithelial cells.

ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

This review delves into the pivotal role of necrotic apoptosis in Alzheimer's disease(AD),with a focus on treatment strategies,drug development,prospects,and challenges,highlighting its significance in the progression of the disease.Firstly,necrotic apoptosis plays a crucial role in the pathogenesis of AD,particularly in association with the abnormal metabolism of β-amyloid(Aβ)and Tau proteins.The primary focus of drug design is to regulate the metabolism pathways of these two proteins to slow down or inhibit the progression of necrotic apoptosis.Secondly,the progress in drug development further emphasizes the importance of necrotic apoptosis in treating AD.Current research mainly focuses on drugs that affect the metabolism of Aβ and Tau proteins,such as lecanemab.Still,inconsistent result underscore the necessity for a more comprehensive understanding of the molecular mechanisms of necrotic apoptosis.Finally,the prospects and challenges of necrotic apoptosis research in AD are thoroughly discussed.A deeper understanding of necrotic apoptosis contributes to a better comprehension of the pathological mechanisms of AD but also may reveal new therapeutic targets.However,challenges such as multifactorial influences and the selection of treatment timing necessitate further in-depth research in the future.In conclusion,this review advocates for future research to deepen the understanding of the molecular mechanisms of necrotic apoptosis,enhance research on treatment strategies,gain a deeper understanding of its cross-regulation with other cell death pathways,and promote collaboration between basic research and clinical practice to advance the comprehensive understanding and treatment of Alzheimer's disease and necrotic apoptosis.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Alzheimer's disease (AD), a prototypical neurodegenerative disorder, encompasses multifaceted pathological processes. As pivotal cellular structures within the central nervous system, ion channels play critical roles in regulating neuronal excitability, synaptic transmission, and neurotransmitter release. Extensive research has revealed significant alterations in the expression and function of ion channels in AD, implicating an important role of ion channels in the pathogenesis of abnormal Aβ deposition, neuroinflammation, oxidative stress, and disruptions in calcium homeostasis and neural network functionality. This review systematically summarizes the crucial roles and underlying mechanisms of ion channels in the onset and progression of AD, highlighting how these channel abnormalities contribute to AD pathophysiology. We also discuss the therapeutic potential of ion channel modulation in AD treatment, emphasizing the importance of addressing multifactorial nature and heterogeneity of AD. The development of multi-target drugs and precision therapies is proposed as a future direction of scientific research.
Alzheimer Disease/therapy* ; Humans ; Ion Channels/physiology* ; Oxidative Stress ; Animals ; Amyloid beta-Peptides/metabolism* ; Synaptic Transmission ; Calcium/metabolism*

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Numerous c-mesenchymal-epithelial transition (c-MET) inhibitors have been reported as potential anticancer agents. However, most fail to enter clinical trials owing to poor efficacy or drug resistance. To date, the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed. In this study, we constructed the largest c-MET dataset, which included 2,278 molecules with different structures, by inhibiting the half maximal inhibitory concentration (IC₅₀) of kinase activity. No significant differences in drug-like properties were observed between active molecules (1,228) and inactive molecules (1,050), including chemical space coverage, physicochemical properties, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles. The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding (t-SNE) high-dimensional data. Further clustering and chemical space networks (CSNs) analyses revealed commonly used scaffolds for c-MET inhibitors, such as M5, M7, and M8. Activity cliffs and structural alerts were used to reveal "dead ends" and "safe bets" for c-MET, as well as dominant structural fragments consisting of pyridazinones, triazoles, and pyrazines. Finally, the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules, including at least three aromatic heterocycles, five aromatic nitrogen atoms, and eight nitrogen-oxygen atoms. Overall, our analyses revealed potential structure-activity relationship (SAR) patterns for c-MET inhibitors, which can inform the screening of new compounds and guide future optimization efforts.

Objective:To establish a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for the fast determination of maduramicin ammonium (MAD) in rat serum.Methods:In February 2024, rat serum samples were selected and directly injected after extraction and purification with methanol: acetonitrile (1: 1), separated on a C18 chromatographic column, and gradient-eluted using 0.1% formic acid aqueous solution -0.1% formic acid methanol solution as the mobile phase. Under optimized instrument conditions, electrospray positive ion multiple reaction monitoring (MRM) mode was employed for quantification using the external standard method, followed by methodological validation of the established approach.Results:The linearity of MAD in serum was good in the concentration range of 0.5-100 μg/L, and the correlation coefficient was 0.9997. The mean recoveries of MAD from spiked samples were 86.0%-109.6%, with the relative standard deviations were less than 10%. The limit of detection was 0.23 μg/L, The limit of detection was 0.75 μg/L.Conclusion:This method is high sensitive and reliable, which is suitable for the determination of MAD in in mouse serum.

Objective To explore the feasibility and safety of ultrasound-guided percutaneous microwave ablation for unresectable pancreatic cancer.Methods Totally 84 patients who underwent ultrasound-guided percutaneous microwave ablation for unresectable pancreatic cancer were enrolled,and the technical success rate,complete ablation rate,complication rate,pain relief rate and survival time,etc.were observed.Results The median age of 84 cases was 61.5 years.Totally 86 tumors,including 44.19％(38/86)at the head/neck and 55.81％(48/86)at the body/tail of pancreas were detected,and a total of 85 ablation sessions were performed with the median ablation energy applied per tumor of 9.90(1.08,21.60)kJ and the complete ablation rate of 42.86％(36/84).The technical success rate was 100％(85/85).Thirty-nine complication events occurred in 25 cases,no ablation-related death.Among 34 patients underwent ablation mainly for pain symptoms,the pain score decreased from(6.22±1.12)points before treatment to(1.94±1.64)points after treatment(P＜0.001).During 6.8(3.3,12.9)months' follow-up,the mean survival time was(8.5±6.7)months,and all 47 patients died due to tumor progression.Conclusion Ultrasound-guided percutaneous microwave ablation was safe and feasible for unresectable pancreatic cancer.