Liver fibrosis is a critical pathological stage in the progression of various chronic liver diseases to liver cirrhosis and liver cancer， and it is characterized by the activation of hepatic stellate cells and excessive deposition of extracellular matrix. There are currently limited clinical treatment methods for liver fibrosis， and gene therapy has attracted increasing attention as a promising intervention strategy. Owing to its advantages of low immunogenicity， strong tissue tropism， and long-term gene expression， adeno-associated virus （AAV） has become an ideal vector for gene therapy. This article systematically reviews the structural and functional features of AAV， the tissue-targeting properties of different serotypes， and the methods for preparation and purification of recombinant AAV and focuses on the advances in the application of AAV-mediated gene overexpression， gene silencing， gene editing， and cellular reprogramming in mechanism research and intervention of liver fibrosis， as well as the challenges in clinical translation and corresponding strategies. AAV-mediated gene therapy is expected to provide novel tools and strategies for the precise treatment and mechanism study of liver fibrosis.

Chiropractic therapy is a therapeutic approach for regulating the spine and is widely employed in clinical practice for multiple disorders, including constipation. The theory of "bone strengthening and tendon softening" originated from Huang Di Nei Jing, holding that bones maintain normal anatomical forms and relative positional relationships, and tendons are supple and free from damage. Only when the structures and functions of both are normal can the human body sustain normal physiological activities. In accordance with this theory, clinical treatment mainly aims at adjusting the relationship between tendons and bones and restoring the balance between them to address diseases. Based on the theory of "bone strengthening and tendon softening" and taking the essence of "tendons" as the starting point, this article explored the pathogenic mechanism of outlet obstructive constipation and the clinical application of chiropractic therapy in the treatment of outlet obstructive constipation. Pathological changes of the musculotendinous meridians and abnormal spinal structures are significant pathogenic factors for outlet obstructive constipation. Therefore, in clinical practice, spinal techniques such as guided manipulation, massage, and reconstructive techniques can be used to soften muscles, correct bones, and regulate intestinal stagnation.

Objective:To investigate the correlation between peri-coronary fat attenuation index (FAI) and plaque formation in patients with myocardial bridge (MB) of the left anterior descending artery (LAD) using coronary computed tomography angiography (CCTA) and to develop an optimal predictive model to explore the potential application of FAI in the primary prevention of MB related atherosclerosis.Methods:In this retrospective study, prediction models associated with perivascular fat inflammation were developed and validated using both logistic regression and machine learning (ML) algorithm. A training dataset was collected from 253 patients who underwent ≥2 coronary computed tomography angiography (CCTA) with ≥3 months intervals from one tertiary hospital from January 2007 to April 2021 and had baseline CCTA showing no plaques in LAD MB. The median follow-up time was 3.2 years. According to the same criteria, a total of 75 LAD MB patients from four other hospitals were included to form an independent external validation dataset, with a median follow-up time of 1.8 years. Receiver operating characteristic (ROC) curve analysis with integrated discrimination improvement (IDI) and category net reclassification index (NRI) were used to compare the performance of the predictive models.Results:62 patients (24.5%) in the training dataset had proximal plaque formation in LAD MB, while 22 patients (29.3%) in the external validation dataset had plaque formation during the follow-up period. Baseline FAI within the longitudinal distance equal to 30 mm proximal to the MB entrance was an independent predictor ( OR=1.068, P=0.046). According to the model results, ROC curves were plotted. The AUC of Model 1 was 0.822, and the AUCs of Model 2 and 1 were 0.821 and 0.591 in the training dataset. After the DeLong test, the AUC of Model 1 was superior to that of Model 2 ( Z=2.839, P=0.005) and Model 1 ( Z=6.124, P<0.001). These findings were further validated in the external validation dataset, where ML-model 3 yielded the best predictive performance, outperforming the logistic regression-based Model 2 (categorical NRI=0.359, P=0.048; IDI=0.108, P=0.046). Conclusion:FAI measured within the 30 mm proximal to the entrance of MBs due to its prone to plaque development is an independent predictor for atherosclerotic plaque formation. The ML-prediction model based on a decision tree algorithm combines FAI, MB anatomical features, and patient risk factors, which is beneficial for patients undergoing routine CCTA examination to identify inflamed coronary arteries in advance and guide the clinical adoption of more targeted preventive treatment, including anti-inflammatory treatment.

OBJECTIVE: To retrieve and collate the earliest recorded texts in ancient acupuncture-moxibustion prescriptions for chest obstruction and heart pain, and explore the acupoint composition principles. METHODS: The Excel 2016 software was used to build a data set of ancient textual records on acupuncture-moxibustion prescriptions for chest obstruction and heart pain. After the terminology related to etiology, pathogenesis, accompanying symptoms, acupoints, and treatment methods unified, the frequency statistical analysis and association rule algorithms were applied to analyze the implicit association patterns among various elements of syndrome differentiation, treatment selection, and acupoint selection in ancient prescriptions from multiple dimensions. RESULTS: The basic acupoints of high frequency in ancient acupuncture-moxibustion treatment for chest obstruction and heart pain were Daling (PC7), Neiguan (PC6), Taixi (KI3), Taichong (LR3), Shangwan (CV13), Yongquan (KI1), and Xinshu (BL15). The prescription was mostly composed of yuan-source points. Besides, the combinations of two of five-shu points, five-shu points with luo-connecting points, and yuan-source points with luo-connecting points were common. The high-frequency points were from the pericardium meridian of hand-jueyin, conception vessel, kidney meridian of foot-shaoyin, liver meridian of foot-jueyin, and bladder meridian of foot-taiyang, generally distributed on the yin part of the arm, abdominal region, the yin part of foot, the back, and the yin part of the leg. Zhigou (TE6), Zusanli (ST36), Baihui (GV20), and Jiuwei (CV15), as well as the specific acupoint combinations, were used for chest obstruction and heart pain due to qi stagnation. Moxibustion was more suitable for chest obstruction and heart pain caused by qi reversion, cold and qi stagnation. Shaohai (HT3) was invariably selected when hand tremor was accompanied; Zhongchong (PC9) combined with Daling (PC7) was selected specially for feverish sensation in the palms. Moxibustion was exclusively applied to Shangwan (CV13), and Taixi (KI3) was often stimulated with moxibustion. At Neiguan (PC6) and Daling (PC7), moxibustion was delivered in combination with acupuncture (high confidence was presented in acupuncture). CONCLUSION In ancient acupuncture-moxibustion treatment for chest obstruction and heart pain, the points of the pericardium meridian of hand-jueyin are predominant, coordinated with those of the liver meridian of foot-jueyin, kidney meridian of foot-shaoyin, conception vessel, and bladder meridian of foot-taiyang. It follows the principles of acupoint selection, "the pericardium acting on behalf of the heart", "regulating qi as the priority", "combination of yuan-source points with luo-connecting points", and "selecting nearby points along the affected meridians".
Humans ; Moxibustion/history* ; Acupuncture Therapy/history* ; Acupuncture Points ; History, Ancient ; Data Mining ; Chest Pain/history* ; Prescriptions/history* ; Meridians

Objective:To investigate the correlation between peri-coronary fat attenuation index (FAI) and plaque formation in patients with myocardial bridge (MB) of the left anterior descending artery (LAD) using coronary computed tomography angiography (CCTA) and to develop an optimal predictive model to explore the potential application of FAI in the primary prevention of MB related atherosclerosis.Methods:In this retrospective study, prediction models associated with perivascular fat inflammation were developed and validated using both logistic regression and machine learning (ML) algorithm. A training dataset was collected from 253 patients who underwent ≥2 coronary computed tomography angiography (CCTA) with ≥3 months intervals from one tertiary hospital from January 2007 to April 2021 and had baseline CCTA showing no plaques in LAD MB. The median follow-up time was 3.2 years. According to the same criteria, a total of 75 LAD MB patients from four other hospitals were included to form an independent external validation dataset, with a median follow-up time of 1.8 years. Receiver operating characteristic (ROC) curve analysis with integrated discrimination improvement (IDI) and category net reclassification index (NRI) were used to compare the performance of the predictive models.Results:62 patients (24.5%) in the training dataset had proximal plaque formation in LAD MB, while 22 patients (29.3%) in the external validation dataset had plaque formation during the follow-up period. Baseline FAI within the longitudinal distance equal to 30 mm proximal to the MB entrance was an independent predictor ( OR=1.068, P=0.046). According to the model results, ROC curves were plotted. The AUC of Model 1 was 0.822, and the AUCs of Model 2 and 1 were 0.821 and 0.591 in the training dataset. After the DeLong test, the AUC of Model 1 was superior to that of Model 2 ( Z=2.839, P=0.005) and Model 1 ( Z=6.124, P<0.001). These findings were further validated in the external validation dataset, where ML-model 3 yielded the best predictive performance, outperforming the logistic regression-based Model 2 (categorical NRI=0.359, P=0.048; IDI=0.108, P=0.046). Conclusion:FAI measured within the 30 mm proximal to the entrance of MBs due to its prone to plaque development is an independent predictor for atherosclerotic plaque formation. The ML-prediction model based on a decision tree algorithm combines FAI, MB anatomical features, and patient risk factors, which is beneficial for patients undergoing routine CCTA examination to identify inflamed coronary arteries in advance and guide the clinical adoption of more targeted preventive treatment, including anti-inflammatory treatment.

Based on the neurovascular unit(NVU), neurovascular coupling functions as a barrier to maintain the homeostasis of the microenvironment by regulating the signaling and metabolic activity of nerve cells and capillaries. Widely dispersed across the retina, the NVU is essential to preserving its normal physiological function. A disturbance in retinal neurovascular homeostasis produced by a range of factors can result in a variety of retinal disorders, such as diabetic retinopathy(DR), glaucoma, retinitis pigmentosa(RP)and age-related macular degeneration(ARMD). The retina also has a widespread distribution of brain-derived neurotrophic factor(BDNF), which functions to promote neuron growth and repair damage by binding to its receptor TrkB. In recent years, BDNF was found to play a protective role against damage in the early stage of retinal neurovascular homeostasis imbalance, often known as the neurodegenerative stage. It also helps to reduce the production of pro-angiogenic substances of neurological origin and offers a fresh approach for the early detection and treatment of associated eye disorders.

Stroke has become the first cause of death and disability in Chinese adults, which is characterized by high incidence rate, high recurrence rate, high disability rate, high mortality and high economic burden. Osteoporosis or bone loss are common after stroke, and decreased bone density may also be a risk factor for ischemic stroke. Although the correlation between the two has been confirmed, the underlying mechanism is not yet fully understood. This article reviews the association between the decreased bone density and stroke, as well as the screening and treatment of osteoporosis in stroke survivors.

Some patients with cerebral small vessel disease(CSVD)may experience cognitive decline and may progress to dementia,which seriously impairs the quality of life of patients.Current studies on the correlation between CSVD imaging markers and cognitive impairment have shown that the distribution and severity of white matter hyperintensity(WMH),enlarged perivascular spaces(EPVS),cerebral microbleeds(CMB),and lacunar infarction(LI)have different effects on various cognitive domains.The cognitive dysfunction caused by CSVD may be related to indirect effects of inflammatory factors and damage to the brain tissue fiber bundles.However,the relationship between CSVD imaging markers and cognitive function and its related mechanisms still need to be further studied and verified.

Objectives: . The necessity to develop a method for prognostication and to identify novel biomarkers for personalized medicine in patients with head and neck squamous cell carcinoma (HNSCC) cannot be overstated. Recently, pathomics, which relies on quantitative analysis of medical imaging, has come to the forefront. CXCL8, an essential inflammatory cytokine, has been shown to correlate with overall survival (OS). This study examined the relationship between CXCL8 mRNA expression and pathomics features and aimed to explore the biological underpinnings of CXCL8. Methods: . Clinical information and transcripts per million mRNA sequencing data were obtained from The Cancer Genome Atlas (TCGA)-HNSCC dataset. We identified correlations between CXCL8 mRNA expression and patient survival rates using a Kaplan-Meier survival curve. A retrospective analysis of 313 samples diagnosed with HNSCC in the TCGA database was conducted. Pathomics features were extracted from hematoxylin and eosin–stained images, and then the minimum redundancy maximum relevance, with recursive feature elimination (mRMR-RFE) method was applied, followed by screening with the logistic regression algorithm. Results: . Kaplan-Meier curves indicated that high expression of CXCL8 was significantly associated with decreased OS. The logistic regression pathomics model incorporated 16 radiomics features identified by the mRMR-RFE method in the training set and demonstrated strong performance in the testing set. Calibration plots showed that the probability of high gene expression predicted by the pathomics model was in good agreement with actual observations, suggesting the model’s high clinical applicability. Conclusion . The pathomics model of CXCL8 mRNA expression serves as an effective tool for predicting prognosis in patients with HNSCC and can aid in clinical decision-making. Elevated levels of CXCL8 expression may lead to reduced DNA damage and are associated with a pro-inflammatory tumor microenvironment, offering a potential therapeutic target.