OBJECTIVE: To observe the effects of Xingnao Kaiqiao acupuncture technique (for regaining consciousness and opening orifice) on methylation of N6-methyladenosine (m6A), and key methyltransferases and demethylases, so as to clarify the mechanism of acupuncture on cerebral ischemia-reperfusion injury (CIRI). METHODS: Of 68 male Sprague-Dawley rats of SPF grade, 15 rats were randomly selected as a sham-operation group, and the remaining rats were subjected to the model of middle cerebral artery occlusion using the suture ligation. CIRI was induced by ischemia for 2 h followed by reperfusion. Rats that failed to modeling or died were excluded. The rest 45 rats were randomly divided into three groups, i.e. model group, acupuncture group, and non-point acupuncture group, with 15 rats in each group. The rats in the acupuncture group were treated with acupuncture at bilateral "Neiguan" (PC6) and "Shuigou" (GV26). In the non-point acupuncture group, acupuncture was delivered at three non-points, located 3 mm below the bilateral midaxillary line and 3 mm lateral to the tip of the coccyx. One intervention was operated in these two acupuncture groups and the needles were retained for 30 min. Before modeling start and 2 h after ischemia, a laser speckle flowmeter was used to monitor the cerebral blood perfusion. In 2 h of ischemia and 24 h of reperfusion, the neurological behavioral score was evaluated. The volume of rat cerebral infarction was determined by triphenyltetrazolium chloride (TTC) staining, and the level of m6A methylation in ischemic cortical area was detected by Dot blot, and the protein and mRNA expression of the demethylase i.e. fat mass and obesity-associated protein (FTO), AlkB homolog 5 (ALKBH5) and key methyltransferases, i.e. methyltransferase-like 3 (METTL3), methyltransferase-like 14 (METTL14), and Wilms' tumor 1-associated protein (WTAP) in ischemic cortical area were detected by Western blot and real-time PCR. RESULTS: Cerebral blood perfusion decreased by>70% after 2 h ischemia. Compared with the sham-operation group, the neurobehavioral score and the percentage of cerebral infarction volume increased in the model group (P<0.01); the level of m6A methylation in the ischemic cortical area increased (P<0.01), the protein and mRNA expression of FTO decreased (P<0.01), and that of ALKBH5, METTL3, and METTL14 increased (P<0.01, P<0.05) in the model group. When compared with the model group and the non-point acupuncture group, the acupuncture group showed a decrease in the neurobehavioral score and the percentage of cerebral infarction volume (P<0.01), the level of m6A methylation in the ischemic cortical area was reduced (P<0.01, P<0.05), and the protein and mRNA expression of FTO was elevated (P<0.01). CONCLUSION Xingnao Kaiqiao acupuncture technique presents its protective effect on the brain in the rats with CIRI, which is related to up-regulating the expression of FTO and modulating m6A methylation.
Animals ; Rats, Sprague-Dawley ; Male ; Acupuncture Therapy ; Reperfusion Injury/genetics* ; Rats ; Brain Ischemia/genetics* ; Humans ; Adenosine/metabolism* ; Methylation ; Acupuncture Points ; Cerebral Cortex/metabolism*

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*

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Various therapeuti modailities have been engineered for lung cancer treatment, but their clinic application is severely impeded by the poor therapy efficiency and immunosuppressive microenvironment. Herein, we fabricated a library of small molecule redox-labile nanoparticles (NPs) (i.e., diPTX-2C NPs, diPTX-2S NPs, and diPTX-2Se NPs) by the self-assembly of dimer paclitaxel (PTX) prodrug, and then utilized these NPs with the traditional Chinese medicine (TCM) Qi-Yu-San-Long-Fang (Q) for effective chemoimmunotherapy on Lewis lung carcinoma (LLC)-bearing mice models. Under the high concentration of glutathione (GSH) and H₂O₂, diPTX-2Se NPs could specifically release PTX in cancer cells and exert a higher selectivity and toxicity than normal cells. In LLC tumor-bearing mice, oral administration of Q not only effectively downregulated programmed death ligand-1 (PD-L1) expression, but also remodeled the immunosuppressive tumor immune microenvironment via the increase of CD4⁺ T and CD8⁺ T cell proportion and the repolarization of M2 into M1 macrophages in tumor tissues, collectively achieving superior synergistic treatment outcomes in combination with intravenous PTX prodrug NPs. Besides, we found that the combination regimen also demonstrated excellent chemoimmunotherapeutic performances on low-dose small established tumor and high-dose large established tumor models. This study may shed light on the potent utilization of Chinese and Western-integrative strategy for efficient tumor chemoimmunotherapy.

AIM: To observe the changes of macular retinal structure and microcirculation in patients with pituitary adenoma(PA)by optical coherence tomography(OCT)and optical coherence tomography angiography(OCTA).METHODS: Cross-sectional study. A total of 40 PA patients treated at the department of neurosurgery, Affiliated Hospital of Guangdong Medical University from September 2021 to March 2023 were included as PA group, and 42 age- and gender-matched healthy volunteers were selected as normal control group. All patients underwent visual field, OCT and OCTA examinations, and the correlation of ocular parameters in PA patients was analyzed.RESULTS:The vessel density(VD)of each retinal layer in the macular area of the PA group was lower than that of the normal control group, and the superficial vascular complex(SVC)-VD in the macular area was positively correlated with the thickness of the macular ganglion cell complex(mGCC)(except the nasal side of the inner ring and the lower part of the outer ring; P<0.05). The thickness of mGCC in each quadrant of the macular area and the thickness of the circumpapillary retinal nerve fiber layer(CP-RNFL)in each quadrant were negatively correlated with the mean defect(MD)value of the visual field(P<0.05), and the area of the foveal avascular zone(FAZ)was positively correlated with the MD value(P<0.05).CONCLUSION:The combination of OCT and OCTA can fully understand the microscopic changes of retinal structure and microcirculation function in PA patients, which is of great value in evaluating the preoperative visual function of PA patients.

Objective To construct a risk assessment scale for postoperative delirium(POD)in elderly patients undergoing hip and knee joint replacement and evaluate the effect.Methods A total of 474 elderly patients undergoing hip and knee arthroplasty from March 2021 to May 2022 were collected as the training set,and a total of 153 the homogeneous patients from January 2022 to May 2022 were collected as the validation set.The patients were divided into two groups based on whether or not POD occurred:non-POD group and POD group.Risk factors of POD in the training set were analyzed by univariate analysis and multifactorial logistic regression.The consistency of the model was evaluated by Homser-Lemeshow goodness of fit test.The postoperative delirium risk assessment scale was established after the selected variables as-signed value according to OR value,and the predictive efficacy of the scale was evaluated by receiver oper-ating characteristic(ROC)curve.The patients in the training set and the validation set were divided into two groups according to the cut-off value:high-risk and low-risk.The incidence rate of POD with different risk stratification was calculated and the applicability of the risk assessment scale was evaluated.Results Fifty-eight patients(12.2%)with POD in the training set,and nineteen patients(12.4%)with POD in the validation set.Multifactor logistic regression showed that age≥85 years,ASA physical status Ⅲ or Ⅳ,the mini-mental state examination(MMSE)score≤24 points,preoperative sleep disorder,comorbid neu-rological disorders,use of general anesthesia,and non-use of dexmedetomidine were independent risk factors of POD.The POD risk assessment scale was then published based the seven risk factors.The ROC curve showed that the area under the curve(AUC)for this scale to predict the risk of POD was 0.956(95%CI 0.937-0.975),and the risk stratification was performed with a cut-off value of 44.5 points,which divided the patients into low-risk and high-risk.Compared with low-risk,the incidence rate of POD in high-risk patients group was significantly increased(P＜0.001).Conclusion A risk assessment scale based on the seven risk factors:age≥85 years,ASA physical status Ⅲ or Ⅳ,MMSE score≤24 points,preoperative sleep disorder,combined neurological disease,use of general anesthetic modality,and non-use of dexmedetomidine,can effectively identify elderly patients undergoing hip and knee replacement who are at high risk of developing POD.

Objective To observe the corneal biomechanical changes of patients in the early stage after small inci-sion lenticule extraction(SMILE),and to analyze the correlation between the corneal biomechanical changes and changes in corneal volumes and higher-order aberrations.Methods A total of 72 patients(72 eyes)with myopia or myopic astig-matism who were scheduled for SMILE in the Optometric Center of Second People's Hospital of Foshan from January to August 2021 were included.The right eye was selected for observation.Before and 3 months after the SMILE,novel corne-al biomechanical parameters,such as biomechanical intraocular pressure(bIOP),DA ratiomax(2 mm)(DA2 ratio),inte-grated radius(IR),Ambrósio's relational thickness(for evaluation of the morphology and quality of the cornea,ARTh),stiffness parameter applanation 1(SP-A1),Corvis biomechanical index(CBI)and stress-strain index(SSI),were meas-ured by the new generation of Corvis? ST.The Pentacam anterior segment analysis system was used to measure corneal bi-omechanical parameters,including corneal volume(CV3 mm,CV5 mm,CV7 mm and CV10 mm);total root mean square of whole cornea,anterior and posterior corneal surface[RMS(Cornea,CF,CB)];root mean square of high-order aberrations of total cornea,anterior and posterior corneal surface[RMS HOA(Cornea,CF,CB)].Paired t-test or Wilcoxon singed-rank test was used to compare the changes in parameters before and after SMILE.Spearman correlation analysis and partial least squares regression were used to study the correlation between changes in novel corneal biomechanical parameters with cor-neal volume changes and high-order corneal aberration changes after the SMILE.Results Three months after SMILE,the bIOP,ARTh,SP-A1 and SSI decreased significantly,while the DA2 ratio,IR and CBI increased significantly(all P＜0.05).Three months after SMILE,CV3 mm,CV5 mm,CV7 mm and CV10 mm decreased significantly(all P＜0.05).The corneal volume changes from small to large were CV3 mm,CV5 mm,CV7 mm and CV10 mm,with a maximum decrease in the outmost periphery.The RMS(Cornea,CF,CB)and RMS HOA(Cornea,CF,CB)increased significantly(all P＜0.05);compared with the changes in high-order aberration on the anterior corneal surface,the changes in higher-order aberration on the posterior corneal surface were relatively stable.Correlation analysis shows that △ARTh was positively correlated with △CV3mm and△CV5mm,and negatively correlated with △CV10mm(all P＜0.05);△bIOP was negatively correlated with △CV3mm,△CV5mm,△RMS HOA(CF)and △RMS HOA(Cornea)and positively correlated with △CV10mm(all P＜0.05);△IR was negatively correlated with △CV10 mm(P＜0.05);△SP-A1 was positively correlated with △CV10 mm(P＜0.05);△ CBI was negatively correlated with △CV3 mm and △CV5 mm,and positively correlated with △CV10mmand △RMS(CF)(all P＜0.05).Conclusion The changes in corneal biomechanical parameters occur in the early stage after SMILE,with a certain corre-lation with the corneal volume changes in different regions and high-order corneal aberration changes.

Objective:To explore the value of predicting new-onset heart failure events in patients with hypertrophic cardiomyopathy (HCM) using clinical and cardiac magnetic resonance (CMR) features based on machine learning algorithms.Methods:The study was a retrospective cohort study. Patients with a confirmed diagnosis of HCM who underwent CMR examinations at Beijing Anzhen Hospital from May 2017 to March 2021 were selected and randomly divided into the training set and the validation set in a ratio of 7∶3. Clinical data and CMR parameters (including conventional parameters and radiomics features) were collected. The endpoint events were heart failure hospitalization and heart failure death, with follow-up ending in January 2023. Features with high stability and P value<0.05 in univariate Cox regression analysis were selected. Subsequently, three machine learning algorithms—random forest, decision tree, and XGBoost—were used to build heart failure event prediction models in the training set. The model performance was then evaluated using the independent validation set, with the performance assessed based on the concordance index. Results:A total of 462 patients were included, with a median age of 51 (39, 62) years, of whom 332 (71.9%) were male. There were 323 patients in the training set and 139 in the validation set. The median follow-up time was 42 (28, 52) months. A total of 44 patients (9.5% (44/462)) experienced endpoint events (8 cases of heart failure death and 36 cases of heart failure hospitalization), with 31 events in the training set and 13 in the validation set. Univariate Cox regression analysis identified 39 radiomic features, 4 conventional CMR parameters (left ventricular end-diastolic volume index, left ventricular end-systolic volume index, left ventricular ejection fraction, and late gadolinium enhancement ratio), and 1 clinical feature (history of non-sustained ventricular tachycardia) that could be included in the machine learning model. In the prediction models built with the training set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.966 (95% CI 0.813-0.995), 0.956 (95% CI 0.796-0.992), and 0.973 (95% CI 0.823-0.996), respectively. In the validation set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.854 (95% CI 0.557-0.964), 0.706 (95% CI 0.399-0.896), and 0.703 (95%CI 0.408-0.890), respectively. Conclusion:Integrating clinical and CMR features of HCM patients through machine learning aids in predicting heart failure events, with the random forest model showing superior performance.

Objective To investigate the prevalence of zika virus(ZIKV),dengue virus(DENV)and chikungunya virus(CHIKV)infections in blood donors in Kunming,China.Methods A total of 10 662 samples from blood donors in Kunming from August 2022 to October 2023 were randomly collected,and ZIKV RNA,DENV RNA and CHIKV RNA were detected by real-time fluorescence quantitative reverse transcription polymerase chain reaction(RT-qPCR).Results Effec-tive test results were obtained from 10 554 samples,and no positive case of ZIKV RNA,DENV RNA and CHIKV RNA was found in this investigation.Conclusion The risk of ZIKV,DENV and CHIKV infections among blood donors in Kunming is low,and there is no immediate need for routine screening for these viruses among blood donors in this region.