Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Case 1: A 19-day-old male infant presented with poor feeding and decreased activity for 2 weeks, worsening with poor responsiveness for 3 days. At 5 days old, he developed poor feeding and poor responsiveness, was hospitalized, and was found to have elevated blood ammonia and thrombocytopenia. Whole-genome genetic analysis revealed a pathogenic homozygous mutation in the PCCA gene, NM-000282.4: c.1834-1835del (p.Arg612AspfsTer44), leading to a diagnosis of propionic acidemia. Case 2: A 4-day-old male infant presented with poor responsiveness and feeding difficulties since birth, with elevated blood ammonia for 1 day. He showed weak sucking and deteriorating responsiveness, with blood ammonia >200 µmol/L. Genetic testing identified two heterozygous mutations in the MMUT gene: NM_000255.4: c.1677-1G>A and NM_000255.4: ex.5del, confirming methylmalonic acidemia. Case 3: A 20-day-old male infant presented with poor feeding for 15 days and skin petechiae for 8 days. He developed feeding difficulties at 5 days old and lower limb petechiae at 12 days old, with blood ammonia measured at 551.6 µmol/L. Genetic analysis found two heterozygous mutations in the PCCA gene: NM_000282.4: c.1118T>A (p.Met373Lys) and NM_000282.4: ex.16-18del, confirming propionic acidemia. In the first two cases, continuous hemodiafiltration was performed for 30 hours and 20 hours, respectively, before administering carglumic acid. In the third case, carglumic acid was administered orally without continuous hemodiafiltration, resulting in a decrease in blood ammonia from 551.6 µmol/L to 72.0 µmol/L within 6 hours, with a reduction rate of approximately 20-25 µmol/(kg·h), similar to the first two cases. Carglumic acid was effective in all three cases, suggesting it may help optimize future treatment protocols for organic acidemia.
Humans ; Male ; Infant, Newborn ; Propionic Acidemia/drug therapy* ; Amino Acid Metabolism, Inborn Errors/genetics* ; Mutation ; Methylmalonyl-CoA Decarboxylase/genetics* ; Citrates/administration & dosage* ; Carbon-Carbon Ligases/genetics* ; Glutamates

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

Objective:To investigate the clinical features and genetic variant of a child with West syndrome due to a variant of NEXMIF gene. Methods:A child who was admitted to Department of Pediatrics, the First Medical Center of Chinese PLA General Hospital in March 2021 was selected as the study subject. Clinical data of the patient was collected. The child and his parents were subjected to whole exome sequencing. Candidate variant was verified by Sanger sequencing and pathogenicity analysis.Results:The child, a 4-month-old boy, had presented with spastic seizures with no obvious cause. Abnormal EEG, severe hypsarrhythmia, and multiple spastic seizures were discovered. Cranial MRI revealed widening of the extracerebral space at the top of the frontal lobe. Physical examination revealed that he could not hold his head up, and could not respond to sounds or follow objects with eyes. He also has microcephaly, with height < 1 s. The child was diagnosed with West syndrome at a local hospital, and given prednisone orally for 3 months, with seizures under control. Topiramate tablets were taken orally for maintenance treatment, and he has been seizure-free for 7 months. DNA sequencing revealed that he has harbored a de novo nonsense variant of c. 982_c.983delTT (p.L328Dfs*23) in the NEXMIF gene. Conclusion:For children with West syndrome with severe developmental delay or even regression as the first symptoms, uncontrollable seizures and abnormal facial appearance, mutations in the NEXMIF gene should be suspected, and genetic testing can facilitate early diagnosis and treatment.

Cerebroprotein hydrolysate oral liquid (COL) is a neuroprotective preparation composed of various amino acids and peptides, which has beneficial effects on diverse central system diseases. However, the therapeutic effect and potential mechanism of oral COL on ischemic stroke (IS) still need to be explored. This study aims to investigate the therapeutic effects and underlying mechanisms of COL on IS in vivo and in vitro. An IS rat model was established through middle cerebral artery occlusion (MCAO) surgery, and triphenyltetrazolium chloride (TTC) staining, behavioral scoring, Evans blue leakage, enzyme-linked immunosorbent assay (ELISA) and immunofluorescence staining were performed to investigate the effects of COL on cerebral infarct size, neurological function, blood-brain barrier (BBB) and neuroinflammation in IS rats. An in vitro model of IS was established on hCMEC/D3 cells through oxygen-glucose deprivation/reperfusion (OGD/R), and cell counting kit-8 assay, reactive oxygen species (ROS) detection, scratch test and Transwell test were conducted to examine the influence of COL on cell viability, oxidative stress and migration ability. Lipidomics technology, real-time quantitative PCR and Western blot experiments were used to investigate the regulation and mechanism of COL on lipid metabolism in the brain of IS rats. All the animal experiments were approved by Ethical Committee of Animal Experiments of China Pharmaceutical University (No.2022-02-23). Our results showed that intragastric administration of COL could significantly reduce the area of cerebral infarction, improve neurological deficits, lower the levels of inflammatory factors, and protect against the blood-brain barrier damage of rats with IS. OGD/R modeling resulted in a significant decrease in the viability, an elevation in intracellular ROS levels, and a weakened cell migration ability of hCMEC/D3 cells. COL treatment could effectively protect hCMEC/D3 cells from damage caused by OGD/R. More importantly, cerebral ischemia led to significant lipid metabolism disorders in the brain of rats, and significant accumulation of intracerebral triglycerides (TAG) and ceramides (Cer) was observed in IS rats. COL was proved to significantly reverse lipid metabolism disorders in the brain of IS rats and reduce the content of cytotoxic lipid Cer by upregulating the intracerebral levels of an acid ceramidase called N-acylsphingosine amidehydrolase 1 (ASAH1). In summary, COL was proved to be a promising and effective candidate for IS treatment, which could alleviate cerebral ischemic injury by regulating abnormal lipid metabolism.

Aim To investigate the effect of Celastrol on the expression of Ezrin in tissues and HaCaT cells of DNCB sensitisation-induced atopic dermatitis(AD)mice.Methods BALB/c mice were taken and ran-domly divided into the control,DNCB group,Celastrol 25 μg,50 μg,75 μg treatment group,and Dex group,with 8 mice in each group;HaCaT cells were induced with TNF-α and treated with 1 μmol·L-1 Celastrol and Ezrin siRNA.The thickness of the skin on the ear and back of mice was measured by a thickness gauge,and the spleen and lymph nodes of mice were taken to observe the changes.HE and toluidine blue staining were used to observe the inflammatory cells and mast cell infiltration in mice.Flow cytometry was used to detect the levels of IL-4 and TNF-α in the lymph nodes of mice,and enzyme-linked immunosorbent was used to determine the levels of IL-4,TNF-α and IgE in serum of mice,and the expression of IL-4,IL-5 and IL-13 in the supernatant of HaCaT cells.Western blot was used to detect the expression of P-Ezrin and Ezrin in skin tissues.Results Celastrol significantly inhibited the swelling of ear and back skin tissues,reduced the de-granulation of inflammatory cells and mast cells,low-ered serum IgE and serum and lymph node levels of IL-4 and TNF-α,and reduced the activation of Ezrin in mice,and the expression of IL-4,IL-5 and IL-13 in the supernatant of HaCaT cells was restored by the treat-ment with Ezrin siRNA.Conclusion Celastrol amel-iorates AD,which may be achieved by modulating Ezrin activation.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Atrial fibrillation(AF)is one of the most common arrhythmias in clinical practice,accounting for about 1/3 of all hospitalized arrhythmic patients.With the increasing morbidity of AF and aggravation of aging of popula-tion,the number of AF patients will increase year by year.Long-term AF can cause a series of adverse clinical consequences such as stroke and heart failure,among which apoplexy is the most important cause of death and disa-bility of AF,while stroke is the most common manifestation of it.Therefore,the prevention of stroke in AF pa-tients through anticoagulation therapy has become the core strategy of AF treatment.In China,a considerable number of AF patients have not received effective anticoagulant therapy,which seriously affects the prognosis and normal life of AF patients.At present,there are many kinds of anticoagulant drugs.This article reviews the re-search progress of anticoagulant drugs.