Based on the theory of the liver's"using bitter herbs to nourish or purge"from Huangdi Neijing,this paper systematically elucidates the theoretical foundation for treating functional constipation from liver.Focusing on the physiological characteristic of"liver desires to disperse"and the pathological manifestation of"liver bitterness and urgency,"combined with the"liver communicates with the large intestine"theory,this paper establishes a diagnostic and therapeutic framework for managing functional constipation by regulating liver function.The pathological evolution of functional constipation manifests in three distinct stages:in the early stage,liver qi stagnation leads to large intestine qi obstruction,where damaged by an excess of seven emotions resulting in symptoms such as difficult defecation,abdominal bloating,and hypochondriac pain;in the middle stage,liver depression transforms into fire,scorching bodily fluids to generate dryness,thereby creating a pathological interplay of stagnation,fire,and dryness,which is marked by anal heat,dry mouth,and yellow urine;in the late stage,yin deficiency in liver and kidney causes large intestine malnutrition,resulting in a complex pathological state where yin deficiency,collateral blockage,dryness accumulation,and blood stasis intertwine,clinically manifesting as pellet-like stools(resembling sheep feces)and soreness and weakness of the waist and knees.In treatment,the formula design follows the principle of"sweetness to relieve,acridity to tonify,and sourness to purge,"with treatment principles varying across stages.In the early stage,the focus is on dispersing liver and regulating qi,and unblocking the zang-fu viscera;in the middle stage,the priority shifts to clearing heat-fire,nourishing large intestine,and promoting fluid production;whereas,in the late stage,the emphasis lies on nourishing yin,unblocking collaterals,and promoting blood circulation.This staged treatment of functional constipation overcomes the limitations of solely focusing on nourishing large intestine and facilitating feces excretion,thereby advancing the treatment of different stages based on syndrome differentiation and personalized treatment.It provides theoretical support for improving patients' intestinal function and enhancing overall health outcomes.

Epigenetic modifications of RNA play a crucial role in the initiation and progression of tumors.Among these modifications,N6-methyladenosine(m6A)modification catalyzed by the METTL3 methyltransferase is one of the most common RNA modifications.It is essential for regulating RNA transcription,stability,and translation.At the same time,long non-coding RNAs(lncRNAs)also serve as important regulatory molecules and play a significant role in the development and progression of tumors.However,the reciprocal interaction between lncRNAs and METTL3,as well as their functional mechanisms within tumors,are not fully understood.This paper aims to provide a comprehensive over-view of the mutual regulation between lncRNAs and METTL3 in tumors.The goal is to offer new insights and theoretical foundations for a better understanding of tumor pathogenesis.

Objective To investigate the status and influencing factors of type 2 diabetes mellitus(T2DM)patients' fear of complications,and to provide a reference for formulating targeted intervention measures.Methods From April to November 2024,370 patients with T2DM in 2 tertiary general hospitals in Daqing City were selected by convenience sampling method.General data questionnaire,Fear of Complications Questionnaire,Self-Perceived Burden Scale,Psychological Capital Questionnaire,Mishel Uncertainty in Illness Scale and Family Apgar Index Questionnaire were used for investigation.Univariate analysis and binary Logistic regression were performed to analyze the influencing factors.Results A total of 364 valid questionnaires were collected,with an effective recovery rate of 98.38％.The score of Fear of Complications Questionnaire was(23.47±7.47),and the incidence of fear of complications was 22.25％.Logistic regression analysis showed that medical payment methods,the number of complications,positive psychological capital and family care were the influencing factors of FoC in T2DM patients.Conclusion The fear of complications in T2DM patients is at a moderate level.Nursing staff should pay attention to the early assessment of patients' fear of complications,promptly identify and take effective measures to reduce the level of patients' fear of complications,improve their quality of life.

Objective:To explore the factors influencing healthcare-seeking time in diabetic foot patients and to develop and validate a predictive model for healthcare-seeking time.Methods:A total of 299 diabetic foot patients hospitalized in the Department of Endocrinology and Metabolism at the First Affiliated Hospital of Zhengzhou University from March 2023 to January 2024 were recruited for model development and internal validation. Sixty additional patients from the Second Affiliated Hospital of Zhengzhou University from September 2023 to January 2024 were used for external validation. Kaplan-Meier survival curves were used to estimate healthcare-seeking times. Cox regression analysis identified influencing factors and constructed the model. Random Survival Forest (RSF) was employed for variable selection and model construction. Internal validation was conducted using 10-fold cross-validation, and model evaluation utilized the integrated Brier score, C-index, and prediction error curve. Results:Kaplan-Meier analysis revealed that education level, foot self-care ability, lower extremity vascular disease, and disease perception significantly influenced healthcare-seeking time ( P<0.05). Cox regression identified gender, income level, medical payment method, living situation, marital status, ulcer history, social support, disease perception, and healthcare behavior perception as significant influencing factors ( P<0.05). RSF variable selection indicated that social support, disease perception, e-health literacy, healthcare behavior perception, and age were the most valuable factors for model construction. In external validation, the Brier scores for the Cox regression and RSF models were 0.059 and 0.088, respectively, while the C-indices were 0.862 and 0.683. Prediction error curves showed that the Cox regression model had lower prediction errors and higher predictive performance. Conclusions:The Cox regression model demonstrated superior performance and can assist nurses in effectively identifying high-risk populations for delayed healthcare-seeking in diabetic foot patients. This allows for timely interventions to improve healthcare behavior and reduce delays.

Diabetes mellitus(DM)and metabolic associated fatty liver disease(MAFLD)share common pathogenic factors.Liver lipid accumulation leads to insulin resistance,and the risk of DM gradually increases with the severity of MAFLD.Multi-omics research provides a basis for the prevention,diagnosis,and treatment of DM combined with MAFLD.This article reviews the progress of multi-omics research in DM combined with MAFLD.

Based on the theory of the liver's"using bitter herbs to nourish or purge"from Huangdi Neijing,this paper systematically elucidates the theoretical foundation for treating functional constipation from liver.Focusing on the physiological characteristic of"liver desires to disperse"and the pathological manifestation of"liver bitterness and urgency,"combined with the"liver communicates with the large intestine"theory,this paper establishes a diagnostic and therapeutic framework for managing functional constipation by regulating liver function.The pathological evolution of functional constipation manifests in three distinct stages:in the early stage,liver qi stagnation leads to large intestine qi obstruction,where damaged by an excess of seven emotions resulting in symptoms such as difficult defecation,abdominal bloating,and hypochondriac pain;in the middle stage,liver depression transforms into fire,scorching bodily fluids to generate dryness,thereby creating a pathological interplay of stagnation,fire,and dryness,which is marked by anal heat,dry mouth,and yellow urine;in the late stage,yin deficiency in liver and kidney causes large intestine malnutrition,resulting in a complex pathological state where yin deficiency,collateral blockage,dryness accumulation,and blood stasis intertwine,clinically manifesting as pellet-like stools(resembling sheep feces)and soreness and weakness of the waist and knees.In treatment,the formula design follows the principle of"sweetness to relieve,acridity to tonify,and sourness to purge,"with treatment principles varying across stages.In the early stage,the focus is on dispersing liver and regulating qi,and unblocking the zang-fu viscera;in the middle stage,the priority shifts to clearing heat-fire,nourishing large intestine,and promoting fluid production;whereas,in the late stage,the emphasis lies on nourishing yin,unblocking collaterals,and promoting blood circulation.This staged treatment of functional constipation overcomes the limitations of solely focusing on nourishing large intestine and facilitating feces excretion,thereby advancing the treatment of different stages based on syndrome differentiation and personalized treatment.It provides theoretical support for improving patients' intestinal function and enhancing overall health outcomes.

Epigenetic modifications of RNA play a crucial role in the initiation and progression of tumors.Among these modifications,N6-methyladenosine(m6A)modification catalyzed by the METTL3 methyltransferase is one of the most common RNA modifications.It is essential for regulating RNA transcription,stability,and translation.At the same time,long non-coding RNAs(lncRNAs)also serve as important regulatory molecules and play a significant role in the development and progression of tumors.However,the reciprocal interaction between lncRNAs and METTL3,as well as their functional mechanisms within tumors,are not fully understood.This paper aims to provide a comprehensive over-view of the mutual regulation between lncRNAs and METTL3 in tumors.The goal is to offer new insights and theoretical foundations for a better understanding of tumor pathogenesis.

Objective To develop an innovative recognition algorithm that aids physicians in the identification of pulmonary nodules. Methods Patients with pulmonary nodules who underwent thoracoscopic surgery at the Department of Thoracic Surgery, Affiliated Drum Tower Hospital of Nanjing University Medical School in December 2023, were enrolled in the study. Chest surface exploration data were collected at a rate of 60 frames per second and a resolution of 1 920×1 080. Frame images were saved at regular intervals for subsequent block processing. An algorithm database for lung nodule recognition was developed using the collected data. Results A total of 16 patients were enrolled, including 9 males and 7 females, with an average age of (54.9±14.9) years. In the optimized multi-topology convolutional network model, the test results demonstrated an accuracy rate of 94.39% for recognition tasks. Furthermore, the integration of micro-variation amplification technology into the convolutional network model enhanced the accuracy of lung nodule identification to 96.90%. A comprehensive evaluation of the performance of these two models yielded an overall recognition accuracy of 95.59%. Based on these findings, we conclude that the proposed network model is well-suited for the task of lung nodule recognition, with the convolutional network incorporating micro-variation amplification technology exhibiting superior accuracy. Conclusion Compared to traditional methods, our proposed technique significantly enhances the accuracy of lung nodule identification and localization, aiding surgeons in locating lung nodules during thoracoscopic surgery.

Diabetes mellitus(DM)and metabolic associated fatty liver disease(MAFLD)share common pathogenic factors.Liver lipid accumulation leads to insulin resistance,and the risk of DM gradually increases with the severity of MAFLD.Multi-omics research provides a basis for the prevention,diagnosis,and treatment of DM combined with MAFLD.This article reviews the progress of multi-omics research in DM combined with MAFLD.

Objective:To analyze the burden and trends of noncommunicable chronic disease(NCD) attributable to metabolic factors in China from 1990 to 2021.Methods:Data from the Global Burden of Diseases(GBD) 2021 database were utilized to describe changes in mortality and disability-adjusted life years(DALYs) of NCD in China from 1990 to 2021. Stratified analyses were conducted by age, sex, sociodemographic index(SDI), and related risk factors. Statistical analyses and predictions were conducted using the age-period-cohort model and the Nordpred model.Results:In 2021, the age-standardized mortality rate and age-standardized DALYs rate of NCD attributable to metabolic factors in China were 227.56 per 100 000 and 4 829.39 per 100 000, respectively. Their average annual percentage changes were -0.76%( P<0.001) and -0.77%( P<0.001). Overall, the burden decreased progressively with higher SDI levels. Analysis using the age-period-cohort model indicated reduced birth cohort and period effects for metabolic factor-attributable NCD, while age effects rose significantly. The minimum relative risk( RR) value was observed in the 15-19 age group( RR=0.01), and the maximum RR value occurred in the 95-99 age group( RR=996.86). The overall rising mortality trend indicated that age effects are the predominant driver at present. Projections estimate that by 2046, deaths from metabolic factor-attributable NCD in China will reach 8 189 563, with an age-standardized mortality rate of 236.95 per 100 000. Conclusions:China continues to face a substantial burden of NCD linked to metabolic factors, with older adults, males, and individuals with hypertension, diabetes, and prediabetes identified as key populations requiring targeted interventions.