Objective The aim of this study is to analyze the expression level of cell-free DNA(cf-DNA),a biomarker of neutrophil extracellular traps(NETs),in children with Mycoplasma pneumoniae pneumonia(MPP),and to explore the predictive efficacy of cf-DNA(as a marker of NETs)for the severity of MPP in these children.Methods A total of 115 children with MPP were prospectively selected as the MPP group.Based on the disease severity,the MPP group was categorized into the mild group(n=75)and the severe group(n=40).During the same period,50 healthy children undergoing physical examinations were selected as the control group.The levels of serum cf-DNA in the MPP group and the control group,as well as the levels of C-reactive protein(CRP),D-dimer,lactate dehydrogenase(LDH),interleukin-6(IL-6),interferon-γ(IFN-γ),and tumor necrosis factor-α(TNF-α)in the MPP group were detected.The differences in the levels of serum cf-DNA and related inflammatory factors among the groups were compared,and the role of serum cf-DNA in evaluating the severity of MPP was analyzed.Results The level of serum cf-DNA in children of the MPP group was notably higher than that in the control group,with a more significant elevation observed in the severe group(P<0.05).The levels of CRP,D-dimer,LDH,IL-6,IFN-γ,and TNF-α were all higher in the severe group than in the mild group(P<0.05).Multivariate logistic regression analysis showed that the increased levels of serum cf-DNA,CRP,and IL-6 were closely related to the severity of MPP(P<0.05).The results of receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC)of the combination of serum cf-DNA,CRP,and IL-6 for predicting severe MPP was 0.981,which was higher than that of each index alone(P<0.05).Conclusions Serum cf-DNA(as a marker of NETs)is closely related to the severity of MPP in children.The combined detection of cf-DNA,CRP,and IL-6 is more beneficial for assessing the severity of MPP in children.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective The aim of this study is to analyze the expression level of cell-free DNA(cf-DNA),a biomarker of neutrophil extracellular traps(NETs),in children with Mycoplasma pneumoniae pneumonia(MPP),and to explore the predictive efficacy of cf-DNA(as a marker of NETs)for the severity of MPP in these children.Methods A total of 115 children with MPP were prospectively selected as the MPP group.Based on the disease severity,the MPP group was categorized into the mild group(n=75)and the severe group(n=40).During the same period,50 healthy children undergoing physical examinations were selected as the control group.The levels of serum cf-DNA in the MPP group and the control group,as well as the levels of C-reactive protein(CRP),D-dimer,lactate dehydrogenase(LDH),interleukin-6(IL-6),interferon-γ(IFN-γ),and tumor necrosis factor-α(TNF-α)in the MPP group were detected.The differences in the levels of serum cf-DNA and related inflammatory factors among the groups were compared,and the role of serum cf-DNA in evaluating the severity of MPP was analyzed.Results The level of serum cf-DNA in children of the MPP group was notably higher than that in the control group,with a more significant elevation observed in the severe group(P<0.05).The levels of CRP,D-dimer,LDH,IL-6,IFN-γ,and TNF-α were all higher in the severe group than in the mild group(P<0.05).Multivariate logistic regression analysis showed that the increased levels of serum cf-DNA,CRP,and IL-6 were closely related to the severity of MPP(P<0.05).The results of receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC)of the combination of serum cf-DNA,CRP,and IL-6 for predicting severe MPP was 0.981,which was higher than that of each index alone(P<0.05).Conclusions Serum cf-DNA(as a marker of NETs)is closely related to the severity of MPP in children.The combined detection of cf-DNA,CRP,and IL-6 is more beneficial for assessing the severity of MPP in children.

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Through a systematic review of the literature on the treatment of eczema with Binghuang Fule Ointment, the "6+1" assessment model was used to comprehensively evaluate its clinical value, providing a basis for decisions on the allocation of medical resources, rational clinical medication use, and hospital procurement and supply of Chinese patent medicines in China. Based on the relevant standards in the Guidelines for the Management of Clinical Evidence and Value Evaluation of Drugs, diversified research methods were adopted, including evidence-based medical evidence, questionnaire surveys, and pharmacoeconomic evaluations. These methods were combined with both qualitative and quantitative research approaches, and the multi-criteria decision analysis(MCDA) model was applied to perform a comprehensive evaluation of Binghuang Fule Ointment in treating eczema. Safety was evaluated based on evidence adequacy assessments and known risk evaluations, and thus the safety was rated as grade A, indicating that its risk is controllable, its safety is good, and there is sufficient evidence to confirm its safety. The evidence of effectiveness came from the results of Meta-analysis, which showed that Binghuang Fule Ointment + conventional treatment/Binghuang Fule Ointment vs conventional treatment had better clinical effective effect, and the effectiveness was rated as grade A. The economic evaluation, integrating evidence value and evidence quality results, thus the economy was rated as grade B. Innovation was evaluated based on three primary indexes and 18 secondary indexes, with Binghuang Fule Ointment's innovation rated as grade B, indicating a good level of innovation. Suitability was assessed through a questionnaire survey and Chinese patent medicine information service data, and Binghuang Fule Ointment's suitability was rated as grade B, indicating good suitability. Accessibility was assessed based on the proportion of Binghuang Fule Ointment's daily cost relative to the median disposable income of urban and rural residents. The proportion was only 0.05% in urban residents' median disposable income, and 0.14% in rural residents' median disposable income. Accessibility was rated as grade B, reflecting good accessibility. Binghuang Fule Ointment was prescribed by a senior Tibetan doctor with many years of clinical experience at the People's Hospital of Tibet Autonomous Region. Its traditional Chinese medicine characteristics were rated as grade B. Based on the results from the "6+1" evaluation dimensions, the comprehensive value score of Binghuang Fule Ointment was calculated using CSC v2.0 software, yielding a score of 0.79, which corresponds to a class A, indicating good clinical value.
Humans ; Ointments ; Drugs, Chinese Herbal/therapeutic use* ; Eczema/economics*

Osteoarthritis （OA） and stroke are common clinical diseases that reduce patients' quality of life and place a burden on families and society. Ruyi Zhenbaowan， a classic prescription in Tibetan medicine， have the functions of clearing heat， awakening the brain and opening orifices， relaxing tendons and promoting meridian circulation， and eliminating yellow water. Clinically， they are used to treat osteoarthritis， post-stroke sequelae， neuropathic pain， and other related conditions. Modern pharmacological studies have demonstrated their anti-inflammatory， analgesic， and nerve-repairing effects. However， current research remains insufficient regarding the appropriate indications， timing， and efficacy of this medicine in treating relevant diseases. To enhance clinicians' understanding of this medicine and promote its standardized and rational clinical use， a panel of national experts， including clinical specialists， Tibetan medicine practitioners， pharmacologists， and methodologists， formulated this consensus based on clinical experience and evidence-based practice. The Cochrane systematic review framework， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system， and the nominal group method were employed to generate seven graded recommendations and 19 consensus-based suggestions. These recommendations clearly define the key points in the clinical application of Ruyi Zhenbaowan， including therapeutic indications， dosage and administration， treatment duration， and medication safety. The consensus specifically addresses the clinical efficacy， appropriate timing of administration， dosage strategies， treatment cycles， and combination medication strategies for treating osteoarthritis and stroke and provides an overview of safety considerations. The aim is to provide standardized guidance for hospitals and healthcare institutions nationwide to ensure the rational application of Ruyi Zhenbaowan in the treatment of osteoarthritis and stroke， reduce medication-related risks， and further leverage its clinical advantages. This consensus has been approved and issued by the China Association of Chinese Medicine， with the standard number GS/CACM 369-2024.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To investigate the expression of Nanog and its regulatory relationship with MMP-2/MMP-9 proteins in esophageal squamous cell carcinoma(ESCC).Methods We detected Nanog and MMP-2/MMP-9 protein expressions in 127 ESCC tissues and 82 adjacent normal tissues using immunohistochemistry and explored their correlations with the clinicopathological parameters and prognosis of the patients.GEO database was utilized to analyze the pathways enriched with the stemness-related molecules including Nanog,and TIMER online tool was used to analyze the correlations among TβR1,MMP-2,and MMP-9 in esophageal cancer.Results Nanog and MMP-2/MMP-9 proteins were significantly upregulated in ESCC tissues and positively intercorrelated.Their expression levels were closely correlated with infiltration depth and lymph node metastasis of ESCC but not with age,gender,or tumor differentiation.The patients with high expressions of Nanog and MMP-2/MMP-9 had significantly shorter survival time.Bioinformatics analysis showed enrichment of stemness-associated molecules in the TGF-β signaling pathway,and the expressions of MMP-2/MMP-9 and TβR1 were positively correlated.In cultured ESCC cells,Nanog knockdown significantly decreased the expression of TβR1,p-Smad2/3,MMP-2,and MMP-9 and strongly inhibited cell migration.Conclusion The high expressions of Nanog,MMP-2,and MMP-9,which are positively correlated,are closely related with invasion depth,lymph node metastasis,and prognosis of ESCC.Nanog regulates the expressions of MMP-2/MMP-9 proteins through the TGF-β signaling pathway,and its high expression promotes migration of ESCC cells.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.