AIM: To investigate the correlation of the expression of stromal cell-derived factor-1(SDF-1)and angiopoietin like protein 4(ANGPTL4)in serum with the severity of disease in patients with diabetic macular edema(DME).METHODS: From April 2020 to August 2023, 193 patients with diabetic retinopathy who were admitted to our hospital were prospectively separated into DME group(128 cases)(56 cases in mild group, 44 cases in moderate group, 28 cases in severe group)and non DME group(65 cases)according to whether the patients had macular edema and the severity of disease. Enzyme-linked immunosorbent assay(ELISA)was applied to determine the levels of ANGPTL4 and SDF-1 in serum. Multivariate Logistic regression was applied to analyze the factors that affected the severity of DME; receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of ANGPTL4 and SDF-1 levels in serum of DME patients for the severity of DME.RESULTS: The levels of ANGPTL4 and SDF-1 in serum of the DME group were obviously higher than those of the non DME group(P<0.01); the expression levels of ANGPTL4 and SDF-1 in serum of the mild, moderate, and severe groups increased obviously in sequence(P<0.05); multivariate Logistic regression analysis showed that the levels of ANGPTL4 and SDF-1 in serum were risk factors affecting the severity of DME(P<0.01); The area under the curve(AUC)of serum SDF-1 in the diagnosis of DME severity was 0.772(95%CI: 0.690-0.842), and the AUC of ANGPTL4 in the diagnosis of DME severity was 0.801(95%CI: 0.722-0.867). The AUC of ANGPTL4 combined with SDF-1 in the diagnosis of DME was 0.884(95%CI: 0.816-0.934), the sensitivity was 87.50%, and the specificity was 85.71%, which were significantly higher than ANGPTL4 or SDF-1 alone(Z=2.658, 2.469, all P<0.05).CONCLUSION: The levels of ANGPTL4 and SDF-1 in serum of DME patients are significantly increased, and their levels increase with the severity of the disease. They can be used as auxiliary indicators for diagnosing the severity of DME disease, and the combined diagnosis has a better effect.

AIM: To investigate the correlation of the expression of stromal cell-derived factor-1(SDF-1)and angiopoietin like protein 4(ANGPTL4)in serum with the severity of disease in patients with diabetic macular edema(DME).METHODS: From April 2020 to August 2023, 193 patients with diabetic retinopathy who were admitted to our hospital were prospectively separated into DME group(128 cases)(56 cases in mild group, 44 cases in moderate group, 28 cases in severe group)and non DME group(65 cases)according to whether the patients had macular edema and the severity of disease. Enzyme-linked immunosorbent assay(ELISA)was applied to determine the levels of ANGPTL4 and SDF-1 in serum. Multivariate Logistic regression was applied to analyze the factors that affected the severity of DME; receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of ANGPTL4 and SDF-1 levels in serum of DME patients for the severity of DME.RESULTS: The levels of ANGPTL4 and SDF-1 in serum of the DME group were obviously higher than those of the non DME group(P<0.01); the expression levels of ANGPTL4 and SDF-1 in serum of the mild, moderate, and severe groups increased obviously in sequence(P<0.05); multivariate Logistic regression analysis showed that the levels of ANGPTL4 and SDF-1 in serum were risk factors affecting the severity of DME(P<0.01); The area under the curve(AUC)of serum SDF-1 in the diagnosis of DME severity was 0.772(95%CI: 0.690-0.842), and the AUC of ANGPTL4 in the diagnosis of DME severity was 0.801(95%CI: 0.722-0.867). The AUC of ANGPTL4 combined with SDF-1 in the diagnosis of DME was 0.884(95%CI: 0.816-0.934), the sensitivity was 87.50%, and the specificity was 85.71%, which were significantly higher than ANGPTL4 or SDF-1 alone(Z=2.658, 2.469, all P<0.05).CONCLUSION: The levels of ANGPTL4 and SDF-1 in serum of DME patients are significantly increased, and their levels increase with the severity of the disease. They can be used as auxiliary indicators for diagnosing the severity of DME disease, and the combined diagnosis has a better effect.

Fluorescence anisotropy(FA)analysis has many advantages such as no requirement of separation,high throughput and real-time detection,and thus has been widely used in many fields,including biochemical analysis,food safety detection,environmental monitoring,etc.However,due to the small volume or mass of the target,its combination with the fluorescence probe cannot produce significant signal change.To solve this issue,researchers often use nanomaterials to enhance the mass or volume of fluorophore to improve the sensitivity.Nevertheless,this FA amplification strategy also has some disadvantages.Firstly,nanomaterials are easy to quench fluorescence.As a result,the FA value is easily influenced by light scattering,which reduces the detection accuracy.Secondly,fluorescent probes in most methods require complex modification steps.Therefore,it is necessary to develop new FA probes that do not require the amplification of volume and mass or modification.As a new kind of nanomaterials,luminescent metal-organic framework(MOF)has a large volume(or mass)and strong fluorescence emission.It does not require additional signal amplification materials.As a consequence,it can be used as a potential FA probe.This study successfully synthesized a lanthanide metal organic framework(Ce-TCPP MOF)using cerium ion(Ce3+)as the central ion and 5,10,15,20-tetra(4-carboxylphenyl)porphyrin(H2TCPP)as the ligand through microwave assisted method,and used it as a novel unmodified FA probe to detect phosphate ions(Pi).In the absence of Pi,Ce-TCPP MOF had a significant FA value(r).After addition of Pi,Pi reacted with Ce3+in MOF and destroyed the structure of MOF into the small pieces,resulting in a decrease in r.The experimental results indicated that with the increase of Pi concentration,the change of the r of Ce-TCPP MOF(Δr)gradually increased.The Δr and Pi concentration showed a good linear relationship within the range of 0.5-3.5 μmol/L(0.016-0.108 mg/L).The limit of detection(LOD,3σ/k)was 0.41 μmol/L.The concentration of Pi in the Jialing River water detected by this method was about 0.078 mg/L,and the Pi value detected by ammonium molybdate spectrophotometry was about 0.080 mg/L.The two detection results were consistent with each other,and the detection results also meet the ClassⅡwater quality standard,proving that this method could be used for the detection of Pi in complex water bodies.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective To explore the changes and clinical significance of D-dimer(D-D),prothrombin fragment 1+2(F1+2)and P-selectin in patients with acute deep venous thrombosis of lower extremities(DVT)before and after catheterization and thrombolysis.Methods A total of 186 patients with acute DVT in the Third People's Hospital of Yunnan Province from March 2020 to March 2022 were selected as the study objects.And all of them underwent catheterization and hemolysis and were followed up in the outpatient form 12 months after the surgery.4 cases were lost to follow-up,and a total of 182 cases completed postoperative follow-up.Postthrombotic syndrome(PTS)was divided into PTS group(n = 27)and non-PTS group(n = 155)according to whether post-thrombotic syndrome(PTS)occurred 12 months after the surgery.The general data of the two groups and the expression of D-D,F1+2,P-selectin in plasma before and after thrombolytic therapy were compared,and the influencing factors of PTS were analyzed by Logistic analysis.Receiver operating characteristic curve(ROC)and area under curve(AUC)were plotted to analyze the value of plasma D-D,F1+2,P-selectin in predicting the occurrence of PTS,and relative risk(RR)was used to analyze the influence of different plasma D-D,F1+2,P-selectin expression on PTS.Results Age,BMI,venous patency score,and plasma D-D,F1+2,P-selectin expression 1 week and 1 month after thrombolysis in PTS group were higher than those in non-PTS group(P<0.05).Logistic showed that BMI and plasma D-D,F1+2 and P-selectin 1 week and 1 month after thrombolysis were the influential factors for PTS in acute DVT patients(P<0.05).ROC curve showed that the combined efficacy of D-D,F1+2 and P-selectin 1 month after thrombolysis was significantly better than that of D-D,F1+2 and P-selectin 1 week after thrombolysis in predicting PTS.One month after thrombolysis,the risk of PTS in patients with high plasma D-D,F1+2,P-selectin expression was 4.211,2.550 and 3.189 times higher than that in patients with low plasma D-D,F1+2,P-selectin expression.Conclusion The expression of D-D,F1+2 and P-selectin in plasma increases after thrombolysis in acute DVT patients,and the combination of D-D,F1+2 and P-selectin can predict the occurrence of PTS.

Surgical operation is the main treatment of oral and maxillofacial tumors.Dysphagia is a common postoperative complication.Swal-lowing disorder can not only lead to mis-aspiration,malnutrition,aspiration pneumonia and other serious consequences,but also may cause psychological problems and social communication barriers,affecting the quality of life of the patients.At present,there is no systematic evalua-tion and rehabilitation management plan for the problem of swallowing disorder after oral and maxillofacial tumor surgery in China.Combining the characteristics of postoperative swallowing disorder in patients with oral and maxillofacial tumors,summarizing the clinical experience of ex-perts in the field of tumor and rehabilitation,reviewing and summarizing relevant literature at home and abroad,and through joint discussion and modification,a group of national experts reached this consensus including the core contents of the screening of swallowing disorders,the phased assessment of prognosis and complications,and the implementation plan of comprehensive management such as nutrition management,respiratory management,swallowing function recovery,psychology and nursing during rehabilitation treatment,in order to improve the evalua-tion and rehabilitation of swallowing disorder after oral and maxillofacial tumor surgery in clinic.

Cryoablation therapy with explicit anti-tumor mechanisms and histopathological manifestations has a long history.A large number of clinical practice has shown that cryoablation therapy is safe and effective,making it an ideal tumor treatment method in theory.Previously,its efficacy and clinical application were constrained by the limitations of refrigerants and refrigeration equipment.With the development of the new generation of cryoablation equipment represented by argon helium knives,significant progress has been made in refrigeration efficien-cy,ablation range,and precise temperature measurement,greatly promoting the progression of tumor cryoablation technology.This consensus systematically summarizes the mechanism of cryoablation technology,indications for oral mucosal melanoma(OMM)cryotherapy,clinical treatment process,adverse reactions and management,cryotherapy combination therapy,etc.,aiming to provide reference for carrying out the standardized cryoablation therapy of OMM.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

Objective To investigate the effects of parecoxib sodium injection combined with dexmedetomidine hydrochloride injection on postoperative cognitive function and stress response in patients with osteoporotic compression fractures.Methods The patients with osteoporotic compression fractures were divided into treatment group and control group according to the treatment plan.The control group was given intravenous injection of dexmedetomidine hydrochloride injection 0.2 μg·kg-1load dose,then micro pump injection 0.2 μg·kg-1·min-1 maintenance dose,until 30 min before the end of the operation;patients in the treatment group were intravenously injected with parecoxib sodium injection 20 mg before local anesthesia and 30 min before the end of operation on the basis of the control group.The pain,sedation,hemodynamics[mean arterial pressure(MAP),heart rate(HR)],cognitive function and safety evaluation were compared between the two groups before operation(T0),2 h after operation(T1),6 h after operation(T2),12 h after operation(T3)and 24 h after operation(T4).Results There were 39 cases in the treatment group and 41 cases in the control group.Visual analogue scale(VAS)scores in treatment group and control group were(3.09±0.55)and(3.41±0.62)scores at T1;VAS scores were(3.02±0.57)and(3.35±0.48)scores at T2;VAS scores were(2.64±0.44)and(2.90±0.46)scores at T3;VAS scores were(2.02±0.41)and(2.35±0.47)scores at T4;MMSE scores were(25.28±1.57)and(24.33±1.42)scores at T2;MMSE scores were(28.16±1.01)and(27.25±0.89)scores at T4;MoCA scores were(24.63±1.60)and(23.59±1.25)scores at T2;MoCA scores were(27.20±0.97)and(26.48±0.83)scores at T4.There were statistically significant differences in the above indexes between the treatment group and the control group(all P＜0.05).Adverse drug reactions in the treatment group included bradycardia,hypotension,nausea vomiting and hypokalemia;adverse drug reactions in the control group included bradycardia,hypotension and nausea vomiting.The total incidence rates of adverse drug reactions were 12.82％and 9.76％,without statistically significant difference(P＞0.05).Conclusion Compared with using dexmedetomidine alone,parecoxib sodium combined with dexmedetomidine is beneficial for relieving postoperative pain in patients with osteoporotic compression fractures,improving postoperative cognitive function.

Objective To investigate the effect of exosomal miR-146a-5p expression on gray matter volume in patients with major depressive disorder(MDD).Methods A total of 113 MDD patients(MDD group)and 107 healthy controls(HC)(HC group)were selected.Peripheral blood was collected and exosomes were isolated to quantify miR-146a-5p expression.Brain high-resolution T1 WI images of MDD and HC were obtained via MR,and gray matter volume was computed via SPM12 software.The interaction effect of"Depression×miR-146a-5p expression"on gray matter volume was analyzed using SPM's Flexible factorial design,and the between-group difference was assessed by extracting the mean value,thus to analyze whether MDD-related gray matter volume abnormalities were dependent on miR-146a-5p expression.Results Exosomal miR-146a-5p expression was significantly elevated in MDD group compared to HC group.Voxel-based factorial analysis revealed a relationship between high miR-146a-5p expression in MDD group and reduced gray matter volume in the anterior and posterior cingulate cortices(independent voxel threshold P＜0.001,AlphaSim corrected),and a significantly reduced gray matter volume as compared with HC group was detected in the two regions.Conclusion The exosomal miR-146a-5p is overexpressed in patients with MDD and may be associated with specific cortical atrophy in patients with MDD.