ObjectiveTo investigate the relationship between mitochondrial DNA copy number (mtDNAcn) and cognitive dysfunction, and its mediating role between type 2 diabetes mellitus (T2DM) and cognitive dysfunction. MethodsA case-control study was conducted from May 2019 to April 2021 at the Shanghai Yangpu District Central Hospital, China. A total of 193 subjects were recruited and divided into two groups based on the Montreal Cognitive Assessment (MoCA): normal control (NC) group (n=95) and cognitive impairment group (n=98). The prevalence of T2DM was determined on the basis of medical history, while mtDNAcn in peripheral blood samples was quantified using realtime fluorescent quantitative polymerase chain reaction. ResultsUnivariate analyses revealed that the mean mtDNAcn in the cognitive impairment group was 0.76±0.37, significantly lower than that in the NC group (1.06±0.45) (P<0.05). Logistic regression analyses showed that higher mtDNAcn was associated with a reduced risk of cognitive impairment (OR=0.315, 95%CI: 0.125‒0.795). Additionaly, a statistically significant positive correlation was observed between mtDNAcn and the total MoCA score (r=0.381, P<0.01). Morever, T2DM history (OR=2.741, 95%CI: 1.002‒7.497) and elevated glycosylated hemoglobin (HbA1c) levels (OR=1.796, 95%CI: 1.190‒2.711) were identified as risk factors for cognitive impairment. Mediation analyses indicated that mtDNAcn served as a mediator between T2DM/HbA1c and the risk of cognitive impairment, with proportions of mediating effect of 9.04% and 9.18%, respectively. ConclusionPatients with mild and moderate cognitive impairment have significantly lower mtDNAcn than those with normal cognitive function. Reduced mtDNAcn is an influencing factor for cognitive dysfunction and may play a mediating role in the association between T2DM and mild to moderate cognitive impairment.

Objective : To investigate the effect of laminarin(LAM) on nonproliferative diabetes retinopathy by high throughput sequencing(RNA-seq). Methods : The diabetes model was established by intraperitoneal injection of streptozotocin(STZ), and the effect of LAM on diabetic mice was observed.C57BL/6 mice were randomly divided into three groups: Control group, Model group, and LAM group, with 8 mice in each group. After 8 weeks of modeling, the LAM group received a 4-week intraperitoneal injection of LAM treatment. Changes in blood glucose and body weight of the three groups of mice were recorded, HE staining was performed to examine retinal lesions, and RNA-seq was used to identify differentially expressed genes(DEGs) in diabetic retinopathy(DR) under the action of STZ and LAM. Results : STZ successfully established the model of DR, and LAM reduced the blood sugar in diabetic mice to a certain extent and improved the pathological morphology of retinal structural looseness in diabetic mice. After RNA-seq analysis of DEGs, it was found that there were a total of 214 DEGs in the retina of the Model group mice compared to the Control group. Enrichment analysis revealed that DR could exacerbate the lesions through the PI3K Akt signaling pathway. There were a total of 42 DEGs in the retina of the Model group and LAM group mice, and enrichment showed that LAM improved the lesions through the neutrophil extracellular trap pathway. Early growth response factor 1(Egr1), FBJ osteosarcoma oncogene(Fos), nuclear receptor subfamily 4A member 1(Nr4a1), and salt-induced kinase 1(Sik1) were regulated by STZ, and LAM significantly regulated their expression, which might be closely related to LAM′s treatment of diabetic retinopathy. Conclusion DEGs can exacerbate the severity of diabetic retinopathyviathe PI3K-Akt signaling pathway. LAM can mitigate diabetic retinopathyviathe neutrophil extracellular trap pathway. Egr1, Fos, Nr4a1, and Sik1 are key genes involved in LAM treatment of STZ-induced DR.

Objective:To introduce a new design of super-micro flap for endoscopic ear surgery, and to evaluate the application effect of super-micro flap in endoscopic tympanoplasty. Methods:Between January, 2023 and March, 2024, 58 patients（64 ears） with tympanosclerosis underwent tympanoplasty with super-micro flap. Continuous irrigating mode endoscopic ear surgery（CIM-EES） was used to complete type Ⅱ or Ⅲ tympanoplasty with the tragus cartilage with followed up for 12 to 24 months. The operation time, postoperative efficacy and complications were statistically analyzed. Results:Of the 64 ears, 63 ears had primary healing of the tympanic membrane, and 1 ear had cartilage necrosis due to multi-drug resistant bacteria infection. The second operation was performed one year later, and the success rate of operation was 98.40%. The average operation time was （48.40±8.86） minutes. The average hearing threshold of 0.5 kHz to 4.0 kHz before operation was （59.63±10.62） dB HL, and the average air conduction threshold of 0.5 kHz to 4.0 kHz one year after operation was（38.79±10.91） dB HL, which was significantly improved compared with that before operation（P<0.01）. Bone conduction threshold also improved significantly （24.49±8.55） dB HL vs（21.88±7.58） dB HL（P<0.01）. No outer tympanic membrane healing and ear canal scar stenosis occurred. Conclusion:The design of super-micro flap can effectively solve the interference of flap floating during continuous irrigating mode in endoscopic ear surgery, relieve the difficulty of flap reposition, simplify the operation process, help to shorten the operation time, and reduce the possibility of circular scar stenosis of conventional free flap, which provides a new flap design option for endoscopic ear surgery.
Humans ; Tympanoplasty/methods* ; Endoscopy/methods* ; Surgical Flaps ; Male ; Female ; Adult ; Myringosclerosis/surgery* ; Middle Aged ; Treatment Outcome ; Tympanic Membrane/surgery* ; Adolescent ; Young Adult

Objective To explore the value of MRI radiomics based on the frontal and temporal lobes combined with multiple machine learning algorithms in the diagnosis of mild cognitive impairment(MCI).Methods Patients who underwent cranial MR examination were retrospectively selected.According to the inclusion and exclusion criteria,a total of 173 subjects were finally included and randomly divided into training set and test set in a ratio of 7∶3.After delineating the regions of interest(ROI)of the frontal and temporal lobes on T2-fluid attenuated inversion recovery(FLAIR)images,radiomics features were extracted based on the Pyradiomics data package.Features were screened through inter-and intraclass correlation coefficient(ICC),independent samples t-test,and the LightGBM algorithm.Diagnostic models were constructed using support vector machine(SVM),random forest(RF),decision tree(DT),K-nearest neighbor(KNN),gradient boosting decision tree(GBDT),and extreme gradient boosting(XGBoost)combined with 10-fold cross-validation respectively.The training set was further divided into 9 training data sets and 1 validation data set through 10-fold cross-validation,and the hyperparameters were optimized through iterative cycles.The diagnostic efficacy of the model was evaluated by receiver operating characteristic(ROC)curve and area under the curve(AUC),and the DeLong test was applied to compare the differences between different models.Results The AUC of the radiomics models constructed by SVM,DT,RF,KNN,GBDT,XGBoost in the training set were 0.951,0.992,0.998,0.957,1.000,and 1.000 respectively,in the validation set were 0.890,0.843,0.934,0.878,0.930,and 0.945 respectively,and in the test set were 0.902,0.711,0.899,0.849,0.889,and 0.882 respectively.Conclusion MRI radiomics based on the frontal and temporal lobes combined with multiple machine learning algorithms can diagnose MCI,and the model constructed based on SVM shows the highest diagnostic value.

AIM:A strain was isolated and identified as the H3N8 subtype of the avian influenza virus from a sick chicken at a farm in Yangjiang,Guangdong Province,named A/chicken/Yangjiang/552/2023(abbreviated as YJ/552).The aim of this research is to determine its genetic evolution,biological properties and pathogenicity in hamsters.This study may provide a theoretical strategy for preventing and treating the H3N8 subtype avian influenza virus-induced epidemic.METHODS:A strain of H3N8 avian influenza virus from chickens was characterised by phylogenetic analy-sis,antigenic diversity,receptor-binding specificity,neuraminidase activity,replication,and transmission in hamsters and a systematic pathological analysis was conducted.RESULTS:This novel avian influenza virus was generated through complex recombination of Eurasian avian H3 genes,North American avian N8 genes and six internal genes of H9N2 sub-type AIV.The cleavage site of the outer protein,HA,was PEKQTR↓GLF,which is characteristic of the low pathogenic avian influenza virus.The HA gene of YJ/552 exhibited the highest nucleotide homology with A/China/ZMD-22-2/2022(H3N8)at 99.09%,while the NA gene showed the highest homology with A/chicken/Dongguan/879/2022(H3N8)at 99.01%.This strain preferentially binds to avian-type receptors and could bind to human-type receptors.This virus could effectively replicate in the trachea and lungs of inoculated and contact hamsters.CONCLUSION:YJ/552 is a recombi-nant H3N8 avian influenza virus replicated in the upper respiratory system and transmitted in hamsters.This study pro-vides data support for the early warning and prevention of H3 subtype avian influenza viruses.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective To explore the application effects of an innovative teaching model(blended 5MP)that organically combines blended teaching and the five-minute teaching method in clinical teaching for operating room nursing students.Methods Using convenience sampling,94 nursing students who interned in operating room of Kunming Children's Hospital from July 2023 to March 2024 were randomly assigned to observation and control groups,with 47 students in each group.For the control group,a traditional blended learning approach was utilized,whereas the observation group implemented a blended 5MP teaching model.Results The observation group's post-class assignment scores,theoretical exam scores,and practical skills assessment scores were all significantly higher than those in the control group,with a statistically significant difference(P<0.05).The observation group also had higher scores in the Self-Assessment of Clinical Reasoning and Reflection Scale,with a statistically significant difference(P<0.05).Furthermore,the observation group reported higher satisfaction rates regarding teaching methods,teaching formats,theoretical instruction,practical instruction,and overall satisfaction compared to the control group,with statistically significant differences(P<0.05).Conclusion The blended approach combines online and offline instructional modalities,allowing for a more strategic allocation of educational resources.This methodology enables students to thoroughly acquire essential knowledge and skills while simultaneously fostering advanced clinical reasoning and reflective competencies.By adopting this innovative educational model,institutions can significantly enhance the academic experience and professional development of nursing students.

Objective To explore the value of MRI radiomics based on the frontal and temporal lobes combined with multiple machine learning algorithms in the diagnosis of mild cognitive impairment(MCI).Methods Patients who underwent cranial MR examination were retrospectively selected.According to the inclusion and exclusion criteria,a total of 173 subjects were finally included and randomly divided into training set and test set in a ratio of 7∶3.After delineating the regions of interest(ROI)of the frontal and temporal lobes on T2-fluid attenuated inversion recovery(FLAIR)images,radiomics features were extracted based on the Pyradiomics data package.Features were screened through inter-and intraclass correlation coefficient(ICC),independent samples t-test,and the LightGBM algorithm.Diagnostic models were constructed using support vector machine(SVM),random forest(RF),decision tree(DT),K-nearest neighbor(KNN),gradient boosting decision tree(GBDT),and extreme gradient boosting(XGBoost)combined with 10-fold cross-validation respectively.The training set was further divided into 9 training data sets and 1 validation data set through 10-fold cross-validation,and the hyperparameters were optimized through iterative cycles.The diagnostic efficacy of the model was evaluated by receiver operating characteristic(ROC)curve and area under the curve(AUC),and the DeLong test was applied to compare the differences between different models.Results The AUC of the radiomics models constructed by SVM,DT,RF,KNN,GBDT,XGBoost in the training set were 0.951,0.992,0.998,0.957,1.000,and 1.000 respectively,in the validation set were 0.890,0.843,0.934,0.878,0.930,and 0.945 respectively,and in the test set were 0.902,0.711,0.899,0.849,0.889,and 0.882 respectively.Conclusion MRI radiomics based on the frontal and temporal lobes combined with multiple machine learning algorithms can diagnose MCI,and the model constructed based on SVM shows the highest diagnostic value.

Objective:To explore the relationship between obesity indicators and DNA methylation clocks acceleration,and to analyze their temporal sequence.Methods:Data were obtained from two sur-veys conducted in 2013 and 2017-2018 by the Chinese National Twin Registry.Peripheral blood DNA methylation data were measured using the Illumina Infinium Human Methylation 450K BeadChip and EPIC BeadChip.DNA methylation clocks/acceleration metrics(GrimAA,PCGrimAA and Dunedin-PACE)were calculated using the DNA methylation online tool(https://dnamage.genetics.ucla.edu/)or R code provided by researchers.Obesity indicators included weight,body mass index(BMI),waist circumference,waist-hip ratio,and waist-height ratio.A total of 1 070 twin individuals were included in the cross-sectional analysis,comprising 378 monozygotic(MZ)twin pairs and 155 dizygotic(DZ)twin pairs for within-pair analysis.Mixed-effects models were used to examine the associations between obesity indicators and DNA methylation clocks,as well as their acceleration measures.The longitudinal analysis included 314 twin individuals,comprising 95 MZ twin pairs and 62 DZ twin pairs for within-pair analy-sis.Cross-lagged panel models were applied to further explore the temporal relationships between obesity and DNA methylation clock indicators.All analyses were conducted both in the full twin sample and separately within MZ and DZ twin pairs.Results:In the cross-sectional analysis population,monozygotic twins accounted for 71.0％,males for 68.0％,and the mean chronological age was(49.9±12.1)years.In the longitudinal analysis population,monozygotic twins accounted for 60.5％,males for 60.8％,with a mean baseline chronological age of(50.4±10.2)years and a mean follow-up duration of(4.6±0.6)years.Except for the waist-to-hip ratio,which was significantly higher at follow-up com-pared with baseline,no statistically significant differences were observed in the means of other obesity in-dicators between baseline and follow-up.Correlation analysis revealed that weight,BMI,waist circumfe-rence,waist-hip ratio(WHR),and waist-height ratio(WHtR)were positively correlated with Dunedin-PACE in all the twins,with WHtR showing the strongest association(β=0.21,95％CI:0.11 to 0.31).Weight and BMI were negatively associated with GrimAA(β=-0.03,95％CI:-0.05 to-0.01;β=-0.07,95％CI:-0.12 to-0.02),while weight was negatively associated with PCGrim-AA(β=-0.02,95％CI:-0.03 to 0.00).However,within-twin-pair analyses showed no statistically significant correlations.Cross-lagged panel model analysis indicated that higher baseline weight might lead to increased GrimAA at follow-up,while elevated baseline weight,BMI,and waist circumference might increase PCGrimAA.Higher baseline WHR was associated with increased DunedinPACE at follow-up.Conclusion:Obesity indicators correlate with DNA methylation clock acceleration metrics.Baseline obesity may influence changes in certain DNA methylation clock indicators over time,suggesting that obesity could exert long-term health effects by accelerating DNA methylation aging.However,these associations may be confounded by shared genetic or environmental factors among the twins.

Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.