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.

Radiomics can provide a large number of features derived from medical images, which can be correlated with certain biological characteristics and clinical endpoints. Delta radiomics enables the analysis of feature changes across different acquisition time points, typically before and after treatment. Compared with traditional radiomics, delta radiomics allows the evaluation of changes in radiomic features at different time points to better guide clinical diagnosis and treatment, thereby facilitating the development of personalized treatment plans for patients. Delta radiomics offers certain advantages in the differential diagnosis, prognosis prediction, treatment response assessment, and side effect evaluation of oncological diseases. This article reviews the applications of delta radiomics in the diagnosis and treatment of head and neck tumors, lung cancer, gastrointestinal tumors, pancreatic cancer, prostate cancer, breast cancer, and soft tissue tumors.

Objective To explore the clinical value of methylation at promoter sites of urine protein kinase Y-linked(PRKY)gene in the early diagnosis of prostate cancer(PCa).Methods Urine samples were collected from 50 suspected PCa patients.After extracting DNA,the methylation levels of the PRKY gene promoter sites cg05163709,cg08045599,and cg05618150 were detected using quantitative methylation-specific PCR(qMSP).Simultaneously,the patients were divided into the benign prostatic hyperplasia(BPH)group and the PCa group.The differences in clinical indicators between the two groups were analyzed,as well as the methylation status of the PRKY gene promoter sites in the urine of the two groups of patients.The receiver operating charac-teristic(ROC)curve of PRKY promoter sites methylation was established,and the area under the curve(AUC)was calculated to analyze the diagnostic value of PRKY promoter sites methylation in PCa,and to perform com-bined diagnosis with clinical indicators.Results The methylation rates of cg05163709 and cg05618150 in urine specimens of PCa patients were significantly higher than those of BPH patients.The AUC for cg05163709 methyla-tion in diagnosing PCa was 0.762,with a sensitivity of 86.70%.It showed better performance in early screening for PCa compared to total prostate specific antigen(tPSA),percentage free prostate specific antigen(f/tPSA)and prostate specific antigen density(PSAD)index.We found that the AUC for cg05618150 methylation in conjunc-tion with PSAD in diagnosing PCa was 0.787,with a sensitivity of 86.70%.The AUC of cg05163709 methylation and PSAD in the joint diagnosis of PCa was 0.855,and the specificity could reach 95.00%.Conclusion The methylation of urine PRKY gene promoter sites cg05163709 and cg05618150 shows high sensitivity and specificity in diagnosing PCa,making them promising biomarkers for early detection of PCa.

Opioid analgesics are currently known as the best analgesics. However， toxicity and side effects such as constipation， tolerance and addiction severely limit their clinical application. With the in-depth understanding of the signal transduction mechanism of opioid receptors and the continuous advancement of drug design technology， researchers have managed to develop many promising new methods to get low-toxic and more efficient opioid analgesics， which are different from the traditional morphine skeleton structure modifications. This article focuses on three new research strategies of G-protein biased activation，“ one drug-multiple targets” and peripheral activation. The basic principles of relative separation of analgesic activity and adverse drug reaction by each strategy are introduced， and the latest research progress of representative drugs is briefly reviewed. Among them， the recently approved novel opioid analgesics oliceridine and tegileridine are G-protein biased μ-opioid receptor agonists， Cebranopadol is a typical “one drug-multiple targets” analgesic， and NFEPP is a representative drug of peripheral opioid receptor agonists. The above several strategies complement each other and provide reference for the development of new opioid analgesic drugs.

Non-small cell lung cancer is one of the cancers with the highest incidence and mortality rate in the world, and precise prognostic models can guide clinical treatment plans. With the continuous upgrading of computer technology, deep learning as a breakthrough technology of artificial intelligence has shown good performance and great potential in the application of non-small cell lung cancer prognosis model. The research on the application of deep learning in survival and recurrence prediction, efficacy prediction, distant metastasis prediction, and complication prediction of non-small cell lung cancer has made some progress, and it shows a trend of multi-omics and multi-modal joint, but there are still shortcomings, which should be further explored in the future to strengthen model verification and solve practical problems in clinical practice.

The purpose of this study was to investigate the damage mechanism of pathogenic E.coli on mouse brain microvascular endothelial cells(BMEC cells)and mouse alveolar macrophages(MH-S cells),as well as the lung and brain of healthy mice.In this study,BMEC cells and MH-S cells were infected with pathogenic E.coli strains,and cell morphological changes were observed.Plate counting method was used to detect the adhesion and invasion ability of the strains to cells and the number of bacteria in the lungs and brains of mice.RT-qPCR was used to detect the ex-pression of TNF-α,IL-1β and IL-6 genes in cells and mouse organs at different time periods.West-ern blot was used to detect the expression of p-NF-κB,p-JAK2 and p-STAT3 proteins related to inflammation in cells and mouse organs after infection.The results showed that the cell culture medium of the infection group was turbid,the cell vision became dark and blurred,some cells shrank and died,and more fragments were produced.The adhesion rate and invasion rate of BMEC cells at 3 h were significantly lower than those at 6 h(P＜0.050),and the adhesion rate and inva-sion rate of MH-S cells at 3 h were significantly higher than those at 6 h(P＜0.010).Infected mice had a large area of swelling and bleeding in the brain,and the lungs had different degrees of swell-ing and bleeding.The bacterial load in the brain and lung was the highest at 12 h.Compared with the control group,the mRNA expression levels of IL-1β,IL-6 and TNF-α in the infection group were significantly increased at 3 h and 6 h(P＜0.050),and the mRNA expression levels of inflam-matory factors in BMEC cells and MH-S cells were the highest at 6 and 3 h,respectively.The mR-NA expression of inflammatory factors in the brain and lung of infected mice showed a trend of in-creasing first and then decreasing with time,with the highest expression at 12 h after infection.The expression levels of p-NF-κB protein in BMEC cells,MH-S cells,lung and brain tissues of mice in the infection group were significantly higher than those in the control group(P＜0.001),and the expression levels of p-JAK2 protein and p-STAT3 protein were significantly lower than those in the control group(P＜0.050).The above results showed that pathogenic E.coli could adhere and invade BMEC cells and MH-S cells,colonize in lung and brain tissues of mice,promote the expres-sion of NF-κB protein in cells and tissues,inhibit the expression of JAK2 protein and STAT3 pro-tein,and then stimulate cells and tissues to produce inflammatory response.

Including gut microbiota and oral microbiota, various microorganisms in different human ecosystem constitute the human microbiota, which play an important role in human metabolism, immunity and maintaining microecological homeostasis. Abnormal changes in gut microbiota known as dysbiosis may lead to metabolic abnormalities and inflammatory changes, which are closely related to disease states including hypertension, diabetes, inflammatory bowel disease, and autoimmune diseases. The main cause of coronary artery disease is coronary atherosclerosis, a chronic and progressive inflammatory disease. Many evidences have shown that there is a correlation between gut microbiota and coronary artery disease. Therefore, we aim to review the relationship between gut microbiota and coronary artery disease, and discuss the possible research directions and application prospects.

Aortic dissection is one of the most devastating cardiovascular diseases. One of the most important pathological features of aortic dissection is local inflammatory response, including the infiltration of inflammatory cells, extracellular matrix degradation, and smooth muscle cell phenotype switch. Macrophages which are the core of the inflammatory response play an extremely pivotal role in the progression of inflammation and tissue remodeling. Macrophages can be artificially divided into M1 and M2 types, of which the M1-type promotes inflammation while the M2-type is associated with the regression of inflammation and tissue healing. Mastering the switch of phenotypic transformation of macrophages may be of great help in inhibiting the inflammation of aortic tissue and facilitating tissue healing, as well as the treatment of aortic dissection. In this paper, we focus on the polarization of macrophages and discuss the role of macrophages in aortic dissection, the polarization pathway and the effect of related polarizing agents on the treatment of aortic dissection.

Auditory neuropathy spectrum disorder (ANSD) represents a variety of sensorineural deafness conditions characterized by abnormal inner hair cells and/or auditory nerve function, but with the preservation of outer hair cell function. ANSD represents up to 15％ of individuals with hearing impairments. Through mutation screening, bioinformatic analysis and expression studies, we have previously identified several apoptosis-inducing factor (AIF) mitochondria-associated 1 (AIFM1) variants in ANSD families and in some other sporadic cases. Here, to elucidate the pathogenic mechanisms underlying each AIFM1 variant, we generated AIF-null cells using the clustered regularly interspersed short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) system and constructed AIF-wild type (WT) and AIF-mutant (mut) (p.T260A, p.R422W, and p.R451Q) stable transfection cell lines. We then analyzed AIF structure, coenzyme-binding affinity, apoptosis, and other aspects. Results revealed that these variants resulted in impaired dimerization, compromising AIF function. The reduction reaction of AIF variants had proceeded slower than that of AIF-WT. The average levels of AIF dimerization in AIF variant cells were only 34.5％?49.7％ of that of AIF-WT cells, resulting in caspase-independent apoptosis. The average percentage of apoptotic cells in the variants was 12.3％?17.9％, which was significantly higher than that (6.9％?7.4％) in controls. However, nicotinamide adenine dinucleotide (NADH) treatment promoted the reduction of apoptosis by rescuing AIF dimerization in AIF variant cells. Our findings show that the impairment of AIF dimerization by AIFM1 variants causes apoptosis contributing to ANSD, and introduce NADH as a potential drug for ANSD treatment. Our results help elucidate the mechanisms of ANSD and may lead to the provision of novel therapies.

Auditory neuropathy spectrum disorder (ANSD) represents a variety of sensorineural deafness conditions characterized by abnormal inner hair cells and/or auditory nerve function, but with the preservation of outer hair cell function. ANSD represents up to 15% of individuals with hearing impairments. Through mutation screening, bioinformatic analysis and expression studies, we have previously identified several apoptosis-inducing factor (AIF) mitochondria-associated 1 (AIFM1) variants in ANSD families and in some other sporadic cases. Here, to elucidate the pathogenic mechanisms underlying each AIFM1 variant, we generated AIF-null cells using the clustered regularly interspersed short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) system and constructed AIF-wild type (WT) and AIF-mutant (mut) (p.‍T260A, p.‍R422W, and p.‍R451Q) stable transfection cell lines. We then analyzed AIF structure, coenzyme-binding affinity, apoptosis, and other aspects. Results revealed that these variants resulted in impaired dimerization, compromising AIF function. The reduction reaction of AIF variants had proceeded slower than that of AIF-WT. The average levels of AIF dimerization in AIF variant cells were only 34.5%‍‒‍49.7% of that of AIF-WT cells, resulting in caspase-independent apoptosis. The average percentage of apoptotic cells in the variants was 12.3%‍‒‍17.9%, which was significantly higher than that (6.9%‍‒‍7.4%) in controls. However, nicotinamide adenine dinucleotide (NADH) treatment promoted the reduction of apoptosis by rescuing AIF dimerization in AIF variant cells. Our findings show that the impairment of AIF dimerization by AIFM1 variants causes apoptosis contributing to ANSD, and introduce NADH as a potential drug for ANSD treatment. Our results help elucidate the mechanisms of ANSD and may lead to the provision of novel therapies.
Humans ; Apoptosis Inducing Factor/metabolism* ; NAD/metabolism* ; Dimerization ; Apoptosis