Diabetic cardiomyopathy is defined as abnormal structure and function of the heart in the setting of diabetes, which could eventually develop heart failure and leads to the death of the patients. Although blood glucose control and medications to heart failure show beneficial effects on this disease, there is currently no specific treatment for diabetic cardiomyopathy. Over the past few decades, the pathophysiology of diabetic cardiomyopathy has been extensively studied, and an increasing number of studies pinpoint that impaired mitochondrial energy metabolism is a key mediator as well as a therapeutic target. In this review, we summarize the latest research in the field of diabetic cardiomyopathy, focusing on mitochondrial damage and adaptation, altered energy substrates, and potential therapeutic targets. A better understanding of the mitochondrial energy metabolism in diabetic cardiomyopathy may help to gain more mechanistic insights and generate more precise mitochondria-oriented therapies to treat this disease.

Objective:To summarize the assessment tools for fear of falling in the elderly both domestically and internationally, providing a reference for medical and nursing staff to assess their fear of falling.Methods:The literature on assessment tools for fear of falling in the elderly was systematically searched on China National Knowledge Infrastructure, WanFang Data, China Biology Medicine disc, VIP, Embase, PubMed, Web of Science, and Cochrane Library. The search period was from database establishment to July 4, 2023. This study extracted and analyzed the content of assessment tools for fear of falling.Results:A total of 45 articles were included, involving 16 assessment tools for fear of falling.Conclusions:The 16 assessment tools for fear of falling included in the analysis are mainly self-assessment. The reliability of the assessment tool for fear of falling is good, but its validity still needs further verification. It is recommended to consider multiple factors when choosing an assessment tool for fear of falling, and combine it with quantitative objective indicators measured by professional instruments to accurately assess the fear of falling of the elderly.

Objective:To systematically review the risk prediction model of retinopathy in type 2 diabetes patients.Methods:Research on the prediction model of retinopathy in patients with type 2 diabetes was retrieved in PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biology Medicine. The search period was from database establishment to March 17, 2023. Two researchers independently screened the literature and extracted data, and used the prediction model risk of bias assessment tool to analyze the bias risk and applicability of the included literature.Results:A total of 18 articles were included, of which nine studies used Logistic regression, four studies used Cox proportional hazards regression, two studies used Lasso regression, one study used semi-parametric regression, and two studies used machine learning methods. Two studies simultaneously conducted internal and external validation, three studies conducted internal validation, and one study conducted external validation. A total of 12 studies mentioned that the area under the curve ( AUC) of predictive models ranged from 0.715 to 0.966, and all AUCs were greater than 0.7. Four studies mentioned the C index, which was 0.770 to 0.848, while two studies did not mention the predictive performance of the model. Age, course of type 2 diabetes, urinary protein, glycosylated hemoglobin, insulin use, hypertension, and time of hospital admissions were independent predictors of repeated reporting in the multivariate model. All studies had a certain risk of bias, but their applicability was good. Conclusions:The existing prediction models for retinopathy in type 2 diabetes patients have good prediction performance, but the overall risk of bias is high. Further validation of the performance of each model is needed, while further development of risk prediction models suitable for different populations (such as elderly patients, women, different races or regions) is still needed.

AIM:To explore the roles and associations of hepatocyte nuclear factor 4 alpha(HNF4A)and mu-protocadherin(MUCDHL)in the kidney of diabetic mice.METHODS:(1)A cohort of six 12-week-old db/m mice and six db/db mice were selected and maintained on a standard diet until 16 weeks.The protein levels of fibronectin(FN),collagen type III(Col-III),E-cadherin,α-smooth muscle actin(α-SMA),HNF4A,Snail and MUCDHL in renal tissues were scrutinized using Western blot.Immunohistochemical staining was conducted to observe the distribution and expres-sion of FN,HNF4A and MUCDHL.(2)Mouse renal tubular epithelial cells(mRTEC)were cultured in vitro and catego-rized into groups:normal glucose(NG)group,high glucose(HG)group,overexpression control groups(NG+vector and HG+vector),overexpression groups(NG+OE-MUCDHL,HG+OE-MUCDHL,NG+OE-HNF4A and HG+OE-HNF4A),knockdown control groups(NG+control and HG+control),and knockdown groups(NG+si-MUCDHL,HG+si-MUCDHL,NG+si-HNF4A and HG+si-HNF4A).The relevant protein levels were also detected by Western blot.RESULTS:(1)In db/db group,elevated body weight,blood glucose and urine albumin-to-creatinine ratio(UACR)indicated significant re-nal injury.Compared with db/m group,the mice in db/db group exhibited increased expression of FN,Col-III,α-SMA and Snail,and decreased expression of E-cadherin,HNF4A and MUCDHL.MUCDHL was predominantly expressed in the apical membrane of renal tubular epithelial cells,FN in the tubular mesenchyme,and HNF4A in the plasma and nu-cleus of renal tubular cells.(2)In HG group,there was an up-regulation in the expression of fibrosis-related proteins and a down-regulation in the expression of E-cadherin,HNF4A and MUCDHL compared with NG group.Overexpression of MUCDHL led to a decrease in the expression of FN,Col-III,α-SMA and Snail proteins,an increase in the expression of E-cadherin and MUCDHL proteins,and unaltered expression of HNF4A.Knockdown of MUCDHL resulted in a reversal of the aforementioned effects,with HNF4A expression remaining unaltered.Overexpression of HNF4A led to an increased ex-pression of MUCDHL,and the expression changes of the remaining indicators were consistent with the overexpression of MUCDHL.Knockdown of HNF4A reversed the aforementioned effects.MUCDHL may represent a downstream target gene of HNF4A.CONCLUSION:The diminished expression of HNF4A and MUCDHL in the renal tubules of diabetic mice implies their involvement in the progression of renal fibrosis in diabetic kidney disease(DKD).HNF4A may potentially impede the progression of renal fibrosis in DKD by up-regulating the expression of MUCDHL.

In March 2020, the outflow of age limited videos from ICU in Spain inspired us to rethink whether there is age discrimination in the allocation of scarce medical resources. This paper frist reflected on the problem of age discrimination caused by this phenomenon from four moral intuitions: the sacred view of life, the quality of life and values, public health ethics and Chinese culture, and then examined whether it is illegal from the legal level, finally pointed out the negative impact on the society, and put forward that taking age as the standard for the allocation of scarce medical resources is not suitable for China’s national conditions.

ObjectiveTo investigate the role and mechanism of DNA repair regulation in the process of hepatocellular carcinoma （HCC） recurrence. MethodsHCC tissue samples were collected from the patients with recurrence within two years or the patients with a good prognosis after 5 years， and the Tandem Mass Tag-labeled quantification proteomic study was used to analyze the differentially expressed proteins enriched in the four pathways of DNA replication， mismatch repair， base excision repair， and nucleotide excision repair， and the regulatory pathways and targets that play a key role in the process of HCC recurrence were analyzed to predict the possible regulatory mechanisms. The independent samples t-test was used for comparison of continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsFor the eukaryotic replication complex pathway， there were significant reductions in the protein expression levels of MCM2 （P=0.018）， MCM3 （P=0.047）， MCM4 （P=0.014）， MCM5 （P=0.008）， MCM6 （P=0.006）， MCM7 （P=0.007）， PCNA （P=0.019）， RFC4 （P=0.002）， RFC5 （P<0.001）， and LIG1 （P=0.042）； for the nucleotide excision repair pathway， there were significant reductions in the protein expression levels of PCNA （P=0.019）， RFC4 （P=0.002）， RFC5 （P<0.001）， and LIG1 （P=0.042）； for the base excision repair pathway， there were significant reductions in the protein expression levels of PCNA （P=0.019） and LIG1 （P=0.042） in the HCC recurrence group； for the mismatch repair pathway， there were significant reductions in the protein expression levels of MSH2 （P=0.026）， MSH6 （P=0.006）， RFC4 （P=0.002）， RFC5 （P<0.001）， PCNA （P=0.019）， and LIG1 （P=0.042） in recurrent HCC tissue. The differentially expressed proteins were involved in the important components of MCM complex， DNA polymerase complex， ligase LIG1， long patch base shear repair complex （long patch BER）， and DNA mismatch repair protein complex. The clinical sample validation analysis of important differentially expressed proteins regulated by DNA repair showed that except for MCM6 with a trend of reduction， the recurrence group also had significant reductions in the relative protein expression levels of MCM5 （P=0.008）， MCM7 （P=0.007）， RCF4 （P=0.002）， RCF5 （P<0.001）， and MSH6 （P=0.006）. ConclusionThere are significant reductions or deletions of multiple complex protein components in the process of DNA repair during HCC recurrence.

In March 2020, the outflow of age limited videos from ICU in Spain inspired us to rethink whether there is age discrimination in the allocation of scarce medical resources. This paper frist reflected on the problem of age discrimination caused by this phenomenon from four moral intuitions: the sacred view of life, the quality of life and values, public health ethics and Chinese culture, and then examined whether it is illegal from the legal level, finally pointed out the negative impact on the society, and put forward that taking age as the standard for the allocation of scarce medical resources is not suitable for China’s national conditions.

Lung cancer is one of the most common malignancies with the highest incidence rate and mortality rate worldwide, and non-small cell lung cancer (NSCLC) accounts for about 85%. Only 5% NSCLC patients are anaplastic lymphoma kinase (ALK) rearrangement positive NSCLC, but the prognosis of these patients is poor, and treatment is urgent. Ensartinib (X-396), a next-generation ALK tyrosine kinase inhibitor (ALK-TKI), has shown greater potency on inhibiting ALK activity and controlling brain metastases than crizotinib, which is indicated for the treatment of crizotinib-resistant, ALK-positive NSCLC patients. Several phase I to III clinical trials included both healthy volunteers and NSCLC patients have been conducted both in China and abroad. In this review, we briefly summarized the results of these trials, and preliminary efficacy, safety, pharmacology and pharmacokinetics/pharmacodynamics of ensartinib were discussed.

Emotion is a series of reactions triggered by a specific object or situation that affects a person's physiological state and can, therefore, be identified by physiological signals. This paper proposes an emotion recognition model. Extracted the features of physiological signals such as photoplethysmography, galvanic skin response, respiration amplitude, and skin temperature. The SVM-RFE-CBR(Recursive Feature Elimination-Correlation Bias Reduction-Support Vector Machine) algorithm was performed to select features and support vector machines for classification. Finally, the model was implemented on the DEAP dataset for an emotion recognition experiment. In the rating scale of valence, arousal, and dominance, the accuracy rates of 73.5%, 81.3%, and 76.1% were obtained respectively. The result shows that emotional recognition can be effectively performed by combining a variety of physiological signals.
Arousal ; Emotions ; Galvanic Skin Response ; Humans ; Photoplethysmography ; Support Vector Machine

Objective To develop an effective decision tree management model for smart triage of nervous system diseases based on artificial neural networks and Bayesian decision theory. Methods Bayesian decision theory was used as the theoretical basis, and convolutional neural network was used to complete the rapid specialist / sub-specialist machine learning. For the specialist or sub-specialist triage data, circular neural network and Bayesian algorithm were performed to complete the probability distribution and convergence of disease symptoms and diagnosis. Results The decision tree management model and theoretical demonstration were established. According to the characteristics of the transfer learning, the rapid learning of nervous system diseases and accurate triage system, and the remote smart triage system were successfully constructed. Conclusions The management model could provide theoretical references for further use, and alleviate to some extent the currently high rate of outpatient appointment withdrawal and changes.