To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework.

OBJECTIVE To systematically evaluate the effects of oral non-peptidic thrombopoietin receptor agonists （TPO-RAs） on hepatic enzyme in adult patients with immune thrombocytopenia. METHODS A comprehensive literature search was conducted in PubMed， Web of Science， CNKI， Wanfang database and the Chinese Medical Association Journal Full-Text Database to collect randomized controlled trials （RCTs） comparing oral non-peptidic TPO-RAs （intervention group） with placebo or conventional therapy （control group）. All databases were searched from their inception to June 2025. After literature screening， data extraction and quality assessment of the included studies， meta-analysis was conducted using RevMan 5.4.1 software. RESULTS Twelve RCTs comprising 1 388 patients were included， with 971 in the intervention group and 417 in the control group. Meta-analysis results showed that there were no significant differences between the two groups in terms of the incidence of hepatic enzyme elevation[OR＝1.24， 95%CI （0.77， 1.99）， P ＝0.37 ] ， the incidence of hepatic enzyme elevation in patients treated for ≥6 weeks[OR＝1.21， 95%CI （0.73， 1.99）， P ＝0.46 ] ， and the incidence of severe hepatic enzyme elevation[OR＝1.39， 95%CI（0.46， 4.20）， P ＝0.55 ] . Subgroup analysis showed that there were no significant differences in the incidence of hepatic enzyme elevation between the intervention group and control group among patients using eltrombopag[OR＝1.57，95%CI（0.85，2.87）， P ＝0.15 ] ， avatrombopag[OR＝0.88，95%CI （0.09，8.46）， P ＝0.91 ] ， and hetrombopag[OR＝1.04，95%CI（0.30，3.65）， P ＝0.95 ] ， respectively. CONCLUSIONS Oral non-peptidic TPO-RAs do not significantly increase the risk of hepatic enzyme elevation in adult patients with immune thrombocytopenia， and show an overall favorable hepatic safety profile.

Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.

ObjectiveTaking the cuproptosis/oxidative stress pathway as the entry point， this study investigated the effect and mechanism of Liangyi Paste on hepatic lipid deposition in naturally aged mice fed with a high-fat diet. MethodsAfter adaptive feeding， 80 ten-week-old male C57BL/6 mice were used. Thirty of them were randomly divided into three groups （10 mice per group）： The 12-month-old control group （12MCON）， the 15-month-old control group （15MCON）， and the 15-month-old group with a high-fat diet （15MHFD）. The 12MCON and 15MCON groups were continuously fed a standard diet， while the 15MHFD group started receiving a high-fat diet at 12 months of age. Tissue samples were collected at the corresponding time points for each group. The remaining 50 mice were randomly divided into five groups （10 mice per group）： the 20-month-old control group （20MCON）， the model group， and the low-， medium-， and high-dose Liangyi Paste groups （2.91 ， 5.82 ， 11.64 g·kg^-1·d^-1， respectively）. The 20MCON group was continuously fed a standard diet， while the other groups started receiving a high-fat diet at 15 months of age. At 18 months of age， the Liangyi Paste groups were administered the corresponding doses of Liangyi Paste by gavage， while the 20MCON and model groups were given an equal volume of saline by gavage. After 8 weeks of continuous gavage （when the mice reached 20 months of age）， tissue samples were collected. Hepatic TG levels were measured using assay kits； liver histology and lipid deposition were observed via hematoxylin-eosin （HE） and oil red O staining； reactive oxygen species （ROS） were detected by enzyme-linked immunosorbent assay （ELISA）； Cu²⁺， superoxide dismutase （SOD）， and malondialdehyde （MDA） levels were measured by colorimetry； mRNA and protein expression of genes related to cuproptosis and oxidative stress pathways were analyzed by Real-time polymerase chain reaction（Real-time PCR） and Wes automated protein expression system. ResultsCompared with 12MCON， the 15MCON group showed significantly increased hepatic TG， Cu²⁺， ROS， and MDA levels （P<0.01）， decreased SOD （P<0.01）， hepatocyte swelling， and disordered arrangement. The mRNA and protein levels of ferredoxin 1 （FDX1）， dihydrolipoamide S-acetyltransferase （DLAT）， heat shock protein 70 （HSP70）， dihydrolipoamide dehydrogenase （DLD）， pyruvate dehydrogenase E1 subunit-β （PDHB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and peroxisome proliferator-activated receptor γ （PPARγ） were significantly elevated （P<0.05， P<0.01）. Compared with 15MCON group， the 15MHFD and 20MCON groups exhibited further increases in TG， Cu²⁺， ROS， and MDA （P<0.01）， reduced SOD （P<0.01）， and aggravated hepatocyte swelling and disorder. There were increased lipid droplets with mild vacuolization in the 15MHFD group， and no significant lipid deposition was observed in the 20MCON group. FDX1， DLAT， HSP70， DLD， PDHB， Nrf2， and PPARγ mRNA and protein levels were significantly increased （P<0.05， P<0.01）. Compared with 20MCON group， the model group demonstrated markedly elevated TG， Cu²⁺， ROS， and MDA （P<0.01）， reduced SOD （P<0.01）， severe hepatic steatosis， and upregulated expression of FDX1， DLAT， HSP70， DLD， PDHB， Nrf2， and PPARγ mRNA and proteins （P<0.05， P<0.01）. All abnormalities were significantly reversed after Liangyi Paste treatment. ConclusionLiangyi paste can ameliorate hepatic lipid deposition in naturally aged mice with a high-fat diet by modulating the cuproptosis/oxidative stress pathway.

ObjectiveTo explore the effect of gypenosides （GPs） on liver lipid deposition in metabolism-associated fatty liver disease （MAFLD） mice and its mechanism based on classical/non-classical ferroptosis. MethodsEight male C57BL/6 mice in a blank group and 32 male apolipoprotein E gene knockout （ApoE^-/-） mice were randomly divided into a model group， a low-dose GPs （GPs-L） group， a high-dose GPs （GPs-H） group， and a simvastatin （SV） group. Starting from the second week， mice in the blank group were given a maintenance diet， and the other four groups were fed a high-fat diet daily. After eight weeks of feeding， mice in the GPs-L and GPs-H groups were given GPs of 1.487 mg·kg^-1·d^-1 and 2.973 mg·kg^-1·d^-1， respectively， and mice in the SV group were given simvastatin of 2.275 mg·kg^-1·d^-1. Mice in the blank group and the model group were given saline of equal volume by gavage for four weeks. The content of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） in the serum of mice in each group was detected by an automatic biochemical analyzer. The level of non-esterified fatty acid （NEFA） and TG in the mouse liver was measured by the kit. The change in liver tissue structure and lipid deposition was observed by hematoxylin-eosin （HE） and oil red O staining. The levels of coenzyme Q₁₀ （CoQ₁₀）， glutathione （GSH）， malondialdehyde （MDA）， and Fe²⁺ in serum， as well as nicotinamide adenine dinucleotide phosphate ［NAD（P）H］ in the liver were detected by enzyme-linked immunosorbent assay （ELISA）. The expression of ferroptosis suppressor protein 1 （FSP1） in the liver of mice was observed by the immunohistochemical （IHC） method， and the expression of genes and proteins related to classical and non-classical ferroptosis pathways was analyzed by real-time polymerase chain reaction （Real-time PCR） and Wes automated protein expression analysis system. ResultsCompared with those in the blank group， the levels of TC， TG， LDL-C， ALT， and AST in serum and TG and NEFA in the liver in the model group were significantly increased， and the level of HDL-C in serum was significantly decreased （P<0.01）. The liver tissue structure changed， and there were fat vacuoles of different sizes and a large number of red lipid droplets， with obvious lipid deposition. The level of CoQ10 and GSH in serum and NADH in the liver were significantly decreased， while the level of MDA and Fe²⁺ in serum was significantly increased （P<0.01）. The mRNA and protein expressions of cystine/glutamate transporter （xCT/SLC7A11）， glutathione peroxidase （GPX4）， p62， nuclear factor E₂-related factor 2 （Nrf2）， and FSP1 were significantly decreased， and the mRNA and protein expressions of tumor antigen （p53）， spermidine/spermine N1-acetyltransferase 1 （SAT1）， arachidonate 15-lipoxygenase （ALOX15）， and Kelch-like epichlorohydrin-associated protein-1 （Keap1） were significantly increased （P<0.01）. Compared with those in the model group， the level of TC， TG， LDL-C， ALT， and AST in serum and TG and NEFA in the liver of mice in the GPs-L， GPs-H， and SV groups were decreased， while the level of HDL-C in serum was significantly increased （P<0.05， P<0.01）. The liver tissue structure and lipid deposition were improved. The levels of CoQ10 and GSH in serum and NADH in the liver were significantly increased， while the levels of MDA and Fe²⁺ in serum were significantly decreased （P<0.05， P<0.01）. The mRNA and protein expressions of xCT， GPX4， p62， Nrf2， and FSP1 were significantly increased， while the mRNA and protein expressions of p53， SAT1， ALOX15， and Keap1 were significantly decreased （P<0.05， P<0.01）. ConclusionGPs can interfere with liver lipid deposition in MAFLD mice through classical/non-classical ferroptosis pathways.

ObjectiveTo explore the effect of gypenosides （GPs） on liver lipid deposition in metabolism-associated fatty liver disease （MAFLD） mice and its mechanism based on classical/non-classical ferroptosis. MethodsEight male C57BL/6 mice in a blank group and 32 male apolipoprotein E gene knockout （ApoE^-/-） mice were randomly divided into a model group， a low-dose GPs （GPs-L） group， a high-dose GPs （GPs-H） group， and a simvastatin （SV） group. Starting from the second week， mice in the blank group were given a maintenance diet， and the other four groups were fed a high-fat diet daily. After eight weeks of feeding， mice in the GPs-L and GPs-H groups were given GPs of 1.487 mg·kg^-1·d^-1 and 2.973 mg·kg^-1·d^-1， respectively， and mice in the SV group were given simvastatin of 2.275 mg·kg^-1·d^-1. Mice in the blank group and the model group were given saline of equal volume by gavage for four weeks. The content of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） in the serum of mice in each group was detected by an automatic biochemical analyzer. The level of non-esterified fatty acid （NEFA） and TG in the mouse liver was measured by the kit. The change in liver tissue structure and lipid deposition was observed by hematoxylin-eosin （HE） and oil red O staining. The levels of coenzyme Q₁₀ （CoQ₁₀）， glutathione （GSH）， malondialdehyde （MDA）， and Fe²⁺ in serum， as well as nicotinamide adenine dinucleotide phosphate ［NAD（P）H］ in the liver were detected by enzyme-linked immunosorbent assay （ELISA）. The expression of ferroptosis suppressor protein 1 （FSP1） in the liver of mice was observed by the immunohistochemical （IHC） method， and the expression of genes and proteins related to classical and non-classical ferroptosis pathways was analyzed by real-time polymerase chain reaction （Real-time PCR） and Wes automated protein expression analysis system. ResultsCompared with those in the blank group， the levels of TC， TG， LDL-C， ALT， and AST in serum and TG and NEFA in the liver in the model group were significantly increased， and the level of HDL-C in serum was significantly decreased （P<0.01）. The liver tissue structure changed， and there were fat vacuoles of different sizes and a large number of red lipid droplets， with obvious lipid deposition. The level of CoQ10 and GSH in serum and NADH in the liver were significantly decreased， while the level of MDA and Fe²⁺ in serum was significantly increased （P<0.01）. The mRNA and protein expressions of cystine/glutamate transporter （xCT/SLC7A11）， glutathione peroxidase （GPX4）， p62， nuclear factor E₂-related factor 2 （Nrf2）， and FSP1 were significantly decreased， and the mRNA and protein expressions of tumor antigen （p53）， spermidine/spermine N1-acetyltransferase 1 （SAT1）， arachidonate 15-lipoxygenase （ALOX15）， and Kelch-like epichlorohydrin-associated protein-1 （Keap1） were significantly increased （P<0.01）. Compared with those in the model group， the level of TC， TG， LDL-C， ALT， and AST in serum and TG and NEFA in the liver of mice in the GPs-L， GPs-H， and SV groups were decreased， while the level of HDL-C in serum was significantly increased （P<0.05， P<0.01）. The liver tissue structure and lipid deposition were improved. The levels of CoQ10 and GSH in serum and NADH in the liver were significantly increased， while the levels of MDA and Fe²⁺ in serum were significantly decreased （P<0.05， P<0.01）. The mRNA and protein expressions of xCT， GPX4， p62， Nrf2， and FSP1 were significantly increased， while the mRNA and protein expressions of p53， SAT1， ALOX15， and Keap1 were significantly decreased （P<0.05， P<0.01）. ConclusionGPs can interfere with liver lipid deposition in MAFLD mice through classical/non-classical ferroptosis pathways.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

Kounis syndrome is an acute coronary syndrome triggered by an allergic reaction, which is clinically rare and frequently subject to misdiagnosis or missed diagnosis. This article presents a case report of a 70-year-old male patient who developed a rash, pruritus, and chest pain following colon polyp resection. Coronary angiography revealed occlusion of the left anterior descending artery, and blood flow was restored after stent implantation. However, the patient experienced recurrent symptoms accompanied by loss of consciousness. Drug skin tests confirmed positive reactions to chlorhexidine and fondaparinux sodium, leading to a diagnosis of type Ⅱ Kounis syndrome. By avoiding allergenic drugs and combining antihistamines with symptomatic treatment to correct myocardial ischemia, the patient′s clinical symptoms significantly improved, and he eventually recovered and was discharged from the hospital. This case underscores the importance of maintaining vigilance for this syndrome in patients with allergies accompanied by chest pain and promptly identifying and avoiding allergens.

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*