OBJECTIVES: To investigate the therapeutic mechanism of Thesium chinense Turcz. (TCT) for antibiotic-associated diarrhea (AAD). METHODS: Network pharmacology, KEGG pathway enrichment analysis and molecular docking were used to identify the shared targets and genes of TCT and AAD, the key signaling pathways and the binding between the active components in TCT and the core protein targets. In a Kunming mouse model of AAD established by intragastric administration of lincomycin hydrochloride, the effects of daily gavage of 1% carboxymethyl cellulose sodium or TCT gel solutions at 1.5 g/kg and 3 g/kg (n=10) on body weight and diarrhea were observed. HE staining, ELISA, 16S rRNA sequencing, and Western blotting were used to examine pathologies, expression levels of IL-6 and TNF-α, changes in gut microbiota, and protein expressions of EGFR, p-EGFR, PI3K, p-PI3K, Akt, and p-Akt in the colon tissues of the mice. RESULTS: We identified a total of 66 active components of TCT and 68 core targets including EGFR, STAT3 and PIK3CA. KEGG pathway enrichment analysis suggested that the therapeutic effects of TCT was mediated primarily through the PI3K/Akt signaling pathway. Molecular docking showed that EGFR had the highest binding affinity with coniferin, and the EGFR-coniferin complex maintained a stable conformation at 10 ns, whose stability was also confirmed by Gibbs free energy analysis. In the mouse models of AAD, treatment with TCT significantly improved colonic tissue morphology, decreased colonic levels of TNF-α and IL-6, increased gut microbiota diversity, and modulated the relative abundances of the key genera including Lactobacillus and Bacteroides. TCT treatment also markedly reduced protein expressions of p-EGFR, p-PI3K and p-Akt in the colon tissues of the mice. CONCLUSIONS TCT can alleviate AAD in mice by modulating gut microbiota composition, regulating the EGFR/PI3K/Akt signaling pathway, and reducing TNF‑α and IL-6 expressions.
Animals ; Gastrointestinal Microbiome/drug effects* ; Signal Transduction/drug effects* ; Mice ; ErbB Receptors/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Diarrhea/drug therapy* ; Phosphatidylinositol 3-Kinases/metabolism* ; Anti-Bacterial Agents/adverse effects* ; Drugs, Chinese Herbal/therapeutic use* ; Molecular Docking Simulation

OBJECTIVES: The presence of multi-scale skin lesion regions and image noise interference and limited resources of auxiliary diagnostic equipment affect the accuracy of skin disease detection in skin disease detection tasks. To solve these problems, we propose a highly efficient and lightweight skin disease detection model using an improved RT-DETR model. METHODS: A lightweight FasterNet was introduced as the backbone network and the FasterNetBlock module was parametrically refined. A Convolutional and Attention Fusion Module (CAFM) was used to replace the multi-head self-attention mechanism in the neck network to enhance the ability of the AIFI-CAFM module for capturing global dependencies and local detail information. The DRB-HSFPN feature pyramid network was designed to replace the Cross-Scale Feature Fusion Module (CCFM) to allow the integration of contextual information across different scales to improve the semantic feature expression capacity of the neck network. Finally, combining the advantages of Inner-IoU and EIoU, the Inner-EIoU was used to replace the original loss function GIOU to further enhance the model's inference accuracy and convergence speed. RESULTS: The experimental results on the HAM10000 dataset showed that the improved RT-DETR model, as compared with the original model, had increased mAP@50 and mAP@50:95 by 4.5% and 2.8%, respectively, with a detection speed of 59.1 frames per second (FPS). The improved model had a parameter count of 10.9 M and a computational load of 19.3 GFLOPs, which were reduced by 46.0% and 67.2% compared to those of the original model, validating the effectiveness of the improved model. CONCLUSIONS The proposed SD-DETR model significantly improves the performance of skin disease detection tasks by effectively extracting and integrating multi-scale features while reducing both parameter count and computational load.
Humans ; Skin Diseases/diagnosis* ; Skin/pathology* ; Neural Networks, Computer ; Algorithms

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Abstract As dietary issues of children and adolescents become increasingly complex, the assessment of food literacy (FL) is increasingly importance. FL involves a comprehensive cognition and practical ability concerning food among children, playing a key role in fostering healthy eating habits and improving health levels. The article explores the definition and connotations of FL, and introduces eight FL assessment tools in terms of theoretical foundations, dimensions, assessment methods, and their reliability and validity. Moreover, it provides a comparative analysis of these tools by examining their dimensional design, evaluation indicators, strengths, and weaknesses, as well as their applicable subjects and scenarios, aiming to offer references for implementing relevant policies and developing more comprehensive and effective FL assessment tools.

Hypertriglyceridemia-associated acute pancreatitis is an inflammatory disorder of exocrine pancreas caused by metabolism disturbances of triglyceride-rich lipoproteins.Currently,hypertriglyceridemia-associated acute pancreatitis is characterized by an escalating incidence rate,a tendency for more severe cases,and a lack of therapeutic drugs.Traditional Chinese medicine has distinct advantages in treating this disease,but its theoretical framework has not yet been established.Hypertriglyceridemia-associated acute pancreatitis manifests itself as a febrile disease,aberrant accumulation of fat and turbidity may stem from dietary imbalances and visceral dysfunction in ordinary individuals.The prolonged accumulation of fat and turbidity can transform into turbid pathogen,subsequently engendering heat,constituting a pivotal pathogenic factor.Throughout the progression of the disease,the fiery pathogen consumes the fat and turbidity,resulting in the generation of toxic heat,which is a crucial mechanism in the exacerbation of the disease severity.Thus,this article posits therapeutic principles aimed at averting the transformation of fat and turbidity into turbid pathogen and counteracting toxic heat in this disease.This article reviews two key theories from traditional Chinese medicine classics relevant to hypertriglyceridemia-associated acute pancreatitis:the theory of fat-turbidity associated with hypertriglyceridemia and the febrile disease related to acute pancreatitis.Combining these traditional theories with modern research on the mechanisms that intensify hypertriglyceridemia-associated acute pancreatitis and the corresponding targets of traditional Chinese medicine,it suggests that the pathogenesis of"fat-turbidity-toxic heat"serves as the theoretical basis of traditional Chinese medicine for the aggravated severity of hypertriglyceridemia-associated acute pancreatitis.The article aims to offer new insights for the treatment of hypertriglyceridemia-associated acute pancreatitis.

Objective To analyze the relationship of the volume of 87 brain regions with postnatal age and neurobehavior in full-term neonates.Methods A total of 75 full-term newborns[gestational age(39.38±1.22)weeks;male/female(51/24);postnatal age(11.11±6.67)days]without abnormalities on brain MRI(three-dimensional T1-weighted imaging,3D T1WI)at our hospital between November 2010 and September 2017 were retrospectively included.Based on the template of 87 brain regions,the neonatal brains were divided into 87 brain regions and their volumes were calculated by using V-shape Bottleneck network(VB-Net)deep learning segmentation technique,Pearson partial correlation and regression analysis were used to explore the relationship of the volume of each brain region with postnatal age and neurobehavioral scores.Results After adjusting for gestational age,birth weight,head circumference,body length and sex,66.7％of the regional brain volumes(58/87 brain regions)significantly increased with the postnatal age(correlation coefficient r:0.2-0.7,P＜0.05).The volumes of gray matter in bilateral lentiform nucleus,left caudate nucleus,right occipital lobe,right inferior temporal lobe,and bilateral anterior temporal lobe strongly correlated with the postnatal age(r＞0.50,P＜0.05).The gray matter volume of the right occipital lobe linearly increased with age(slope:100.67),and was positively correlated with behavioral scores(r=0.324,P＜0.01).Conclusion Most of regional brain volumes increase with the postnatal age during the neonatal period,and the fastest growth occurs in primary sensorimotor-related brain regions,presenting the spatial heterogeneity.Partial brain region grows with the development of behavioral ability.

Objective:This study aims to analyze the clinical characteristics of elderly patients with lung adenocarcinoma and to construct a predictive model for assessing their survival.Methods:We conducted a retrospective analysis of clinical data sourced from the SEER database for patients aged 60 years or older who were diagnosed with lung adenocarcinoma between 2013 and 2018.Cox regression analysis was employed to identify independent prognostic factors affecting the survival of elderly lung adenocarcinoma patients, leading to the development of a nomogram model.The discriminative ability and calibration of the nomogram were assessed using the C-index and calibration curve.Each patient's total risk score was calculated based on the predictive model, and patients were stratified according to the quartiles of their total risk scores.The Kaplan-Meier method and Log-rank test were utilized to evaluate survival differences among the identified risk groups.Results:Among 38, 852 lung adenocarcinoma patients, 17, 200 were males and 21, 652 were females.Significant differences in survival rates were observed among lung adenocarcinoma patients based on age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, or liver metastases, as well as the type of treatment received, including surgical treatment, radiation therapy, and chemotherapy(all P<0.001).The C-index of the training model was 0.815(95% CI: 0.811-0.819), while the validation model yielded a C-index of 0.810(95% CI: 0.804-0.816).The prediction model demonstrated higher Area Under Curve(AUC)values of 0.746, 0.768, and 0.775 for 1-year, 3-year, and 5-year survival in the modeling dataset, respectively, and 0.747, 0.770, and 0.777 in the validation dataset.Furthermore, the risk stratification model effectively distinguished patients at varying levels of risk( P<0.001). Conclusions:Age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, and liver metastases, along with treatment modalities such as surgery, radiotherapy, and chemotherapy, were identified as independent prognostic factors for elderly patients with lung adenocarcinoma.The risk prediction model developed in this study effectively differentiates between patients at varying levels of risk, which holds significant implications for predicting treatment responses in elderly lung adenocarcinoma patients and advancing the practice of precision medicine.

Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets [321 patients with AD, 265 patients with mild cognitive impairment (MCI), 279 normal controls (NC)], a unified pipeline, and independent site cross-validation. Automated fiber quantification was used to extract diffusion profiles along tracts. Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC. Machine learning models using tract-based features showed good generalizability among independent site cross-validation. The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups. We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.
Humans ; White Matter/diagnostic imaging* ; Diffusion Tensor Imaging/methods* ; Alzheimer Disease/complications* ; Reproducibility of Results ; Cognition ; Cognitive Dysfunction/complications* ; Brain/diagnostic imaging*

OBJECTIVE: To study the clinical features of children with periodic fever, aphthous stomatitis, pharyngitis, and adenitis (PFAPA) syndrome, a polygenic and multifactorial autoinflammatory disease with unknown pathogenesis. METHODS: A retrospective analysis was performed on the medical data of 13 children with PFAPA syndrome. RESULTS: All 13 children had disease onset within the age of 3 years, with a mean age of onset of (14±10) months. They all had periodic fever, with 8-18 attacks each year. The mean interictal period of fever was (30±5) days. Pharyngitis, cervical adenitis, and aphthous stomatitis were the three cardinal symptoms, with incidence rates of 100% (13/13), 85% (11/13), and 38% (5/13) respectively. There were increases in white blood cells, C-reactive protein, and erythrocyte sedimentation rate during fever. Of all the 13 children, 6 underwent whole exome sequencing and 7 underwent panel gene detection for autoinflammatory disease, and the results showed single heterozygous mutations in the CONCLUSIONS For children with unexplained periodic fever with early onset accompanied by pharyngitis, cervical adenitis, aphthous stomatitis, elevated inflammatory indices, and good response to glucocorticoids, PFAPA syndrome should be considered. This disorder has good prognosis, and early diagnosis can avoid the long-term repeated use of antibiotics.
Child ; Child, Preschool ; Fever/etiology* ; Humans ; Infant ; Lymphadenitis/diagnosis* ; Pharyngitis/drug therapy* ; Pyrin ; Retrospective Studies ; Stomatitis, Aphthous/genetics*

OBJECTIVE: To analyze the phenotype and genotype of a patient affected with inherited antithrombin deficiency. METHODS: All exons and exon-intron boundaries of the AT genes were subjected to PCR amplification and Sanger sequencing. The influence of variants on the disease was predicted using bioinformatic software (MutationTaster). RESULTS: The results of all coagulation tests were normal, though the antithrombin activity and antigen content of the proband and his father have decreased significantly (34%, 48% and 12.97 mg/dL, 15.60 mg/dL, respectively). His mother was normal. Genetic analysis revealed that the proband and his father both carried a heterozygous g.2736dupT variant of the AT gene. Bioinformatic analysis suggested that the variant may be pathogenic. CONCLUSION The proband and his father both had type I hereditary antithrombin deficiency caused by a g.2736dupT variant of the AT gene. The variant was unreported previously.
Antithrombin III/genetics* ; Antithrombin III Deficiency/genetics* ; DNA Mutational Analysis ; Genetic Testing ; Heterozygote ; Humans ; Male ; Mutation ; Pedigree