ObjectiveTo investigate the effects of modified Ditan tang on genes related to the transcription-translation feedback loop （TTFL） of biorhythm in the rat model of non-alcoholic fatty liver disease （NAFLD） and its mechanism for prevention and treatment of NAFLD. MethodsSixty-five healthy SPF male SD rats were randomly assigned into blank （n=20）， model （n=15）， and low-， medium-， and high-dose （2.68， 5.36， and 10.72 g·kg^-1·d^-1， respectively） modified Ditan tang （n=10） groups. Other groups except the blank group were fed a high-fat diet for 12 weeks. The modified Ditan tang groups were treated with the decoction at corresponding doses by gavage， and the blank and model groups were treated with an equal volume of normal saline from the 9th week for 4 weeks. The levels of triglyceride （TG）， total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in the serum were measured by an automatic biochemical analyzer. TG and non-esterified fatty acid （NEFA） assay kits were used to measure the levels of TG and NEFA in the liver. The pathological changes in the hypothalamus and liver were observed by hematoxylin-eosin staining， and the lipid deposition in the liver was observed by oil red O staining. The levels of brain-muscle ARNT-like protein 1 （BMAL1/ARNTL） in the hypothalamus and liver were determined by immunohistochemical staining. The mRNA and protein levels of BMAL1， circadian locomotor output cycles kaput （CLOCK）， period circadian clock 2 （PER2）， and cryptochrome1 （Cry1） in the hypothalamus and liver were determined by Real-time PCR and Western blot， respectively. ResultsCompared with the blank group， the model group showed elevated levels of TG， TC， LDL-C， AST， and ALT （P<0.01） and a lowered level of HDL-C （P<0.05） in the serum， elevated levels of TG and NEFA in the liver （P<0.01）， pyknosis and deep staining of hypothalamic neuron cells， and a large number of vacuoles in the brain area. In addition， the model group showed lipid deposition in the liver， up-regulated mRNA and protein levels of CLOCK and BMAL1 （P<0.01）， and down-regulated mRNA and protein levels of Cry1 and PER2 （P<0.01） in the hypothalamus and liver. Compared with the model group， all the three modified Ditan tang groups showed lowered levels of TG， TC， LDL-C， ALT， and AST （P<0.05， P<0.01） and an elevated level of HDL-C （P<0.05） in the serum， and lowered levels of TG and NEFA （P<0.05， P<0.01） in the liver. Furthermore， the three groups showed alleviated pyknosis and deep staining of hypothalamic neuron cells， reduced lipid deposition in the liver， down-regulated mRNA and protein levels of CLOCK and BMAL1 （P<0.05， P<0.01）， and up-regulated mRNA and protein levels of Cry1 and PER2 （P<0.05， P<0.01） in the hypothalamus and liver. ConclusionModified Ditan tang can reduce lipid deposition in the liver and regulate the expression of CLOCK， BMAL1， Cry1， and PER2 in the TTFL of NAFLD rats.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

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.

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.

BACKGROUND: Lung cancer is currently the most prevalent malignancy and the leading cause of cancer deaths worldwide. Although the early stage non-small cell lung cancer (NSCLC) presents a relatively good prognosis, a considerable number of lung cancer cases are still detected and diagnosed at locally advanced or late stages. Surgical treatment combined with perioperative multimodality treatment is the mainstay of treatment for locally advanced NSCLC and has been shown to improve patient survival. Following the standard methods of neoadjuvant therapy, perioperative management, postoperative adjuvant therapy, and other therapeutic strategies are important for improving patients' prognosis and quality of life. However, controversies remain over the perioperative management of NSCLC and presently consensus and standardized guidelines are lacking for addressing critical clinical issues in multimodality treatment. METHODS: The working group consisted of 125 multidisciplinary experts from thoracic surgery, medical oncology, radiotherapy, epidemiology, and psychology. This guideline was developed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The clinical questions were collected and selected based on preliminary open-ended questionnaires and subsequent discussions during the Guideline Working Group meetings. PubMed, Web of Science, Cochrane Library, Scopus, and China National Knowledge Infrastructure (CNKI) were searched for available evidence. The GRADE system was used to evaluate the quality of evidence and grade the strengths of recommendations. Finally, the recommendations were developed through a structured consensus-building process. RESULTS: The Guideline Development Group initially collected a total of 62 important clinical questions. After a series of consensus-building conferences, 24 clinical questions were identified and corresponding recommendations were ultimately developed, focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assement, and follow-up protocols for NSCLC. CONCLUSIONS This guideline puts forward reasonable recommendations focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assessment, and follow-up protocol of NSCLC. It standardizes perioperative multimodality treatment and provides guidance for clinical practice among thoracic surgeons, medical oncologists, and radiotherapists, aiming to reduce postoperative recurrence, improve patient survival, accelerate recovery, and minimize postoperative complications such as atelectasis.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Combined Modality Therapy ; Perioperative Care

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*