The clustered regularly interspaced short palindromic repeats (CRISPR)/associated protein 9 (CRISPR /Cas9) immune system is an adaptive immune system widely distributed in bacteria and archaea. It precisely defends against invasion by exogenous phages, viruses, and plasmids through sequence-specific endogenous immune response mechanisms. As the most prominent member of this family, the CRISPR/Cas9 system has evolved into the most widely applied, flexible, and efficient technical platform in the field of genome engineering due to its exceptional genome modification capabilities. Within the CRISPR/Cas9 system, the Cas9 protein, precisely guided by a single-stranded guide RNA (gRNA), can specifically recognize target DNA sequences and induce double-strand breaks. This activates the cell’s DNA repair mechanisms, enabling gene knockout, knock-in, or modification. Demonstrating significant advantages in specificity, flexibility, and operability, CRISPR/Cas9 technology has shown immense potential in the medical field, opening new avenues for modernizing traditional Chinese medicine (TCM) research. On one hand, this technology can be used to construct precise disease models and tailor personalized treatment plans. It enables in-depth elucidation of the molecular mechanisms underlying the action targets and signaling pathways of TCM formulas and active components, thereby unraveling the scientific secrets of their complex mechanisms of action. On the other hand, it demonstrates powerful tool value in improving TCM germplasm resources, identifying and screening superior varieties, evaluating the controllability of TCM quality, and producing innovative drugs, providing technical support for the standardization and precision of TCM. Simultaneously, the high-throughput omics data generated by CRISPR technology is driving artificial intelligence (AI) to construct virtual disease models and drug prediction systems. This empowers the intelligent screening of effective TCM components, the precise prediction of potential targets, and the exploration of “reducing toxicity while enhancing efficacy” through formula combinations. This synergistic innovation between CRISPR and AI aligns perfectly with precision medicine’s urgent demand for personalized, efficient drug development, injecting new momentum into the modernization and transformation of TCM. This paper first systematically reviews and explains the developmental trajectory, structural basis, and action mechanisms of the CRISPR/Cas9 system, tracing its scientific evolution from a bacterial immune system to a gene-editing tool. It then comprehensively outlines the current state of convergence between precision medicine concepts and modernization research in TCM, analyzing the synergistic points and potential spaces for their integration. Against the backdrop of rapid precision medicine advancement, this paper emphasizes how CRISPR/Cas9 gene editing technology empowers in-depth analysis of TCM mechanisms—including specific applications in disease model construction, therapeutic target validation, and multi-target network regulation studies. It further elaborates on its multidimensional practical contributions to modernizing TCM, spanning key domains such as germplasm resource innovation, bioactive compound biosynthesis, quality standardization control, and novel TCM drug development. Finally, this paper envisions the future landscape of deep integration between CRISPR technology and AI: from data-driven intelligent drug screening to high-throughput precision discovery of effective TCM components, and further to intelligent model construction based on “reducing toxicity while enhancing efficacy” mechanisms. The synergistic convergence of these multidimensional technologies will pioneer new scientific paradigms and translational pathways for TCM modernization, propelling TCM toward leapfrogging development in the era of precision medicine.

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.

Cervi Cornu Pantotrichum is a precious animal-derived Chinese medicinal material, while there are often adulterants derived from animals not specified in the Chinese Pharmacopeia in the market, which disturbs the safety of medication. This study was conducted with the aim of strengthening the quality control of Cervi Cornu Pantotrichum and standardizing the medication. To achieve digital identification of Cervi Cornu Pantotrichum from different sources, a digital identification model was constructed based on ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UHPLC-QTOF-MS~E) combined with an adaptive boosting algorithm(Adaboost). The young furred antlers of sika deer, red deer, elk, and reindeer were processed and then subjected to polypeptide analysis by UHPLC-QTOF-MS~E. Then, the mass spectral data reflecting the polypeptide information were obtained by digital quantification. Next, the key data were obtained by feature screening based on Gini index, and the digital identification model was constructed by Adaboost. The model was evaluated based on the recall rate, F_1 composite score, and accuracy. Finally, the results of identification based on the constructed digital identification model were validated. The results showed that when the Gini index was used to screen the data of top 100 characteristic polypeptides, the digital identification model based on Adaboost had the best performance, with the recall rate, F_1 composite score, and accuracy not less than 0.953. The validation analysis showed that the accuracy of the identification of the 10 batches of samples was as high as 100.0%. Therefore, based on UHPLC-QTOF-MS~E and Adaboost algorithm, the digital identification of Cervi Cornu Pantotrichum can be realized efficiently and accurately, which can provide reference for the quality control and original animal identification of Cervi Cornu Pantotrichum.
Animals ; Algorithms ; Antlers/chemistry* ; Boosting Machine Learning Algorithms ; Chromatography, High Pressure Liquid/methods* ; Deer ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Quality Control ; Reindeer ; Tandem Mass Spectrometry/methods* ; Tissue Extracts/analysis*

Abdominal war trauma is a common and high-risk type of injury in the modern battlefield,with rapid changes in condition and a high mortality rate.There is an urgent need for emerging medical technologies to improve the efficiency and success rate of first aid for military casualties.With the development of artificial intelligence(AI),5G,and other emerging technologies,the concept of intelligent medical treatment is gradually forming and can assist in the diagnosis and treatment of abdominal trauma.This paper reviews the characteristics of abdominal war trauma in modern wars,discusses the application of intelligent medical treatment for abdominal war trauma and its drawbacks to be solved,aiming to provide reference for research related to abdominal war trauma.

Objective To explore the correlation between gallbladder stones and small intestinal bacterial overgrowth(SIBO).Methods A retrospective analysis was conducted on the clinical data of 393 patients who attended the Department of Gastroenterology of the Sixth Medical Center of Chinese PLA General Hospital from January 2021 to September 2023.They were divided into gallbladder stones group(n=190)and control group(n=203)based on the presence of gallbladder stones.Their general clinical data,laboratory test results,and abdominal symptoms were compared.Multivariate logistic regression was used to analyze the risk factors for gallbladder stones.Additionally,the total population was divided into SIBO-positive group(n=239)and SIBO-negative group(n=154),and their clinical characteristics were analyzed by logistic regression to explore the risk factors for SIBO.Results Univariate analysis revealed that gallbladder stones group had a higher rate of age,body mass index(BMI),fasting plasma glucose(FPG),glutaminase levels,prevalence of hypertension,diabetes,coronary heart disease,non-alcoholic fatty liver disease,gallbladder polyps,and SIBO,as well as a higher prevalence of CH4-positive and H2-positive in SIBO group than control group(P＜0.05).In terms of abdominal symptoms,the incidence of bad breath(48.4%vs.35.5%),dyspepsia(38.4%vs.28.6%),abdominal pain(30.5%vs.14.8%),bloating(42.1%vs.28.6%),diarrhea(20.5%vs.7.4%),and more exhaustion(46.8%vs.34.5%)were significantly higher in gallbladder stones group than those in control group(P＜0.05).Multivariate logistic regression analysis showed that independent positive determinants for incident gallbladder stones were age,BMI,FPG,total bilirubin(TBIL),coronary heart disease,gallbladder polyps,and SIBO.Univariate analysis revealed that age,prevalence of gallbladder stones,proportion of single stones,triglycerides(TG),total cholesterol(TC),and low-density lipoprotein cholesterol(LDL-C)were significantly higher in SIBO-positive group than those in SIBO-negative group(P＜0.05).Multivariate logistic regression analysis showed that the risk factors for SIBO were age,coronary heart disease,and gallbladder stones,while the protective factor for SIBO was high-density lipoprotein cholesterol(HDL-C).Conclusion There is a significant correlation between gallbladder stones and small SIBO;interventions on related factors of gallbladder stones and small SIBO may help reduce their incidence.

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 explore the genotypes and frequency distribution of thalassemia in Lingui District,Guilin City,and provide reference for the prevention and control of thalassemia in this area. Methods:The results of genetic testing for thalassemia in 1501 suspected cases at the Second Affiliated Hospital of Guilin Medical University were analyzed retrospectively. The deletional mutations of α-thalassemia were detected by gap-PCR,the non-deletional mutations of α-thalassemia and β-thalassemia mutations were detected by PCR-reverse dot blot (PCR-RDB). Results:In 1501 samples,a total of 678 cases of thalassemia carriers were detected,with a detection rate of 45.17％. Among them,379 cases were α-thalassemia (including deletional α-thalassemia and non-deletional α-thalassemia),with a detection rate of 25.25％,the most common genotype was--SEA/αα (227 cases,15.12％),followed by-α3.7/αα (53 cases,3.53％). 270 cases of β-thalassemia were detected,with a detction rate of 17.99％,and βCD41-42/βN (144 cases,9.59％) was the main genotypes,followed by βCD17/βN (66 cases,4.40％) . In addition,there were 29 cases of αβ compound thalassemia,accounting for 1.93％,and the most common genotype was--SEA/αα complex βCD41-42/βN (5 cases,0.33％). Conclusion:Lingui District in Guilin City is a high-incidence area of thalassemia,and the genotypes of carriers are complex and diverse,with genetic heterogeneity. The results of this study provide a scientific basis for genetic counseling and prenatal diagnosis in this area.

The objective of this study was to investigate the protective effect and potential mechanism of action of hemin on bleomycin-induced pulmonary fibrosis in mice. Male C57BL/6 mice were randomly divided into control, bleomycin and bleomycin + hemin groups. Mice in the bleomycin and bleomycin + hemin groups were injected intratracheally with bleomycin to establish the pulmonary fibrosis model.The bleomycin + hemin group mice were injected intraperitoneally with hemin starting 7 days before modeling until the end of Day 21 after modeling. Pathological changes in lung tissue were assessed by HE and Masson staining. Malondialdehyde (MDA), superoxide dismutase (SOD) and catalase (CAT) levels were determined in lung tissue. Immunohistochemistry was performed to assess the expression of α-SMA and collagen I. The serum levels of IL-6 and TNF-α were measured via ELISA.Western blotting was used to determine the expression of TGF-β1, SIRT1, PGC-1α and HO-1 and the phosphorylation levels of p38, ERK1/2, JNK, AMPK and NF-κB p65 in lung tissue. Hemin significantly reduced lung indices, increased terminal body weight. It also significantly increased SOD and CAT activities; decreased MDA, IL-6 and TNF-α levels; reduced the levels of α-SMA and collagen I-positive cells; upregulated SIRT1, PGC-1α and HO-1 expression; promoted AMPK phosphorylation; and downregulated TGF-β1 expression and p38, ERK1/2, JNK and NF-κB p65 phosphorylation. Hemin might attenuate oxidative damage and inflammatory responses and reduces extracellular matrix deposition by regulating the expression and phosphorylation of proteins associated with the TGF-β1/MAPK and AMPK/SIRT1/PGC-1α/HO-1/ NF-κB pathways, thereby alleviating bleomycin-induced pulmonary fibrosis.

The objective of this study was to investigate the protective effect and potential mechanism of action of hemin on bleomycin-induced pulmonary fibrosis in mice. Male C57BL/6 mice were randomly divided into control, bleomycin and bleomycin + hemin groups. Mice in the bleomycin and bleomycin + hemin groups were injected intratracheally with bleomycin to establish the pulmonary fibrosis model.The bleomycin + hemin group mice were injected intraperitoneally with hemin starting 7 days before modeling until the end of Day 21 after modeling. Pathological changes in lung tissue were assessed by HE and Masson staining. Malondialdehyde (MDA), superoxide dismutase (SOD) and catalase (CAT) levels were determined in lung tissue. Immunohistochemistry was performed to assess the expression of α-SMA and collagen I. The serum levels of IL-6 and TNF-α were measured via ELISA.Western blotting was used to determine the expression of TGF-β1, SIRT1, PGC-1α and HO-1 and the phosphorylation levels of p38, ERK1/2, JNK, AMPK and NF-κB p65 in lung tissue. Hemin significantly reduced lung indices, increased terminal body weight. It also significantly increased SOD and CAT activities; decreased MDA, IL-6 and TNF-α levels; reduced the levels of α-SMA and collagen I-positive cells; upregulated SIRT1, PGC-1α and HO-1 expression; promoted AMPK phosphorylation; and downregulated TGF-β1 expression and p38, ERK1/2, JNK and NF-κB p65 phosphorylation. Hemin might attenuate oxidative damage and inflammatory responses and reduces extracellular matrix deposition by regulating the expression and phosphorylation of proteins associated with the TGF-β1/MAPK and AMPK/SIRT1/PGC-1α/HO-1/ NF-κB pathways, thereby alleviating bleomycin-induced pulmonary fibrosis.

The objective of this study was to investigate the protective effect and potential mechanism of action of hemin on bleomycin-induced pulmonary fibrosis in mice. Male C57BL/6 mice were randomly divided into control, bleomycin and bleomycin + hemin groups. Mice in the bleomycin and bleomycin + hemin groups were injected intratracheally with bleomycin to establish the pulmonary fibrosis model.The bleomycin + hemin group mice were injected intraperitoneally with hemin starting 7 days before modeling until the end of Day 21 after modeling. Pathological changes in lung tissue were assessed by HE and Masson staining. Malondialdehyde (MDA), superoxide dismutase (SOD) and catalase (CAT) levels were determined in lung tissue. Immunohistochemistry was performed to assess the expression of α-SMA and collagen I. The serum levels of IL-6 and TNF-α were measured via ELISA.Western blotting was used to determine the expression of TGF-β1, SIRT1, PGC-1α and HO-1 and the phosphorylation levels of p38, ERK1/2, JNK, AMPK and NF-κB p65 in lung tissue. Hemin significantly reduced lung indices, increased terminal body weight. It also significantly increased SOD and CAT activities; decreased MDA, IL-6 and TNF-α levels; reduced the levels of α-SMA and collagen I-positive cells; upregulated SIRT1, PGC-1α and HO-1 expression; promoted AMPK phosphorylation; and downregulated TGF-β1 expression and p38, ERK1/2, JNK and NF-κB p65 phosphorylation. Hemin might attenuate oxidative damage and inflammatory responses and reduces extracellular matrix deposition by regulating the expression and phosphorylation of proteins associated with the TGF-β1/MAPK and AMPK/SIRT1/PGC-1α/HO-1/ NF-κB pathways, thereby alleviating bleomycin-induced pulmonary fibrosis.