Objective To investigate the status quo of cancer-related fatigue(CRF)in patients with advanced malignant tumours during anti-tumour treatment,and explore the influencing factors so as to provide a reference for nursing intervention.Methods Between January and August 2022,a total of 279 patients with advanced malignant tumours who received anti-tumour therapies in the Department of Oncology of a general hospital in Beijing were selected as study subjects using convenience sampling method.General data questionnaire,cancer fatigue scale,chemotherapy-related gastrointestinal symptoms inventory,and nutritional risk screening 2002 were used for the investigation.Logistic regression analysis was conducted to determine the influencing factors of cancer-related fatigue.Results Toally 279 patients finished the study.A total of 204(73.12%)patients had cancer-related fatigue.Binary logistic regression analysis showed that BMI,education,monthly family income and diabetes were the influencing factors in cancer-related fatigue(all P<0.05).Conclusions The incidence of cancer-related fatigue is high in patients with advanced malignant tumours during anti-tumour therapy.Low BMI,poor education,low monthly family income and diabetes are the risk factors in cancer-related fatigue.Targeted interventions should be implemented based on the risk factors so as to reduce the incidence of cancer-related fatigue.

To explore the protective mechanisms of a novel molybdenum disulfide (MoS₂) nanozyme in alleviating inflammation-related endothelial cell injury by regulating mitochondrial dynamic, flower like-MoS₂ nanosheets were prepared by hydrothermal method, and its antioxidant enzyme-mimic activities were assessed via electron spin resonance (ESR) spectroscopy. It was shown that MoS₂ nanosheets had strong scavenging ability for hydroxyl radical (·OH) and singlet reactive oxygen species (¹O₂) in a dose-dependent manner. Using an in vitro lipopolysaccharide (LPS)-induced vascular endothelial cell injury model, the protective roles of MoS₂ nanozyme on cytotoxicity and apoptosis of endothelial cells were examined by MTT and Annexin V-FITC/PI assay, respectively. Mitochondrial fission/fusion of endothelial cell were observed by Mito-Tracker green probe. Reactive oxygen species (ROS) probe DCFH-DA and superoxide anion probe DHE were used to detect the level of oxidative stress in vitro. Plasmid GFP-LC3 transfection using colocalization analysis was applied to assess the autophagy of endothelial cells. The results showed that MoS₂ nanozyme could significantly reduce the cytotoxicity and apoptosis of endothelial cells stimulated by LPS, and prevent the impairment mitochondrial dynamics of endothelial cells, thus maintaining mitochondrial dynamics. In addition, MoS₂ nanozyme was also shown to alleviate LPS-mediated endothelial mitochondrial autophagy, thus protecting endothelial cells from inflammatory stress. These results established that MoS₂ nanozyme protected endothelial cells injury from inflammatory stress by regulating mitochondrial dynamics and mitochondrial autophagy of endothelial cells, which is expected to expand the use of MoS₂ nanozyme in the prevention and treatment of inflammation-related vascular endothelial diseases.

Objective To explore the effects of oral voriconazole(VRC)on the pharmacokinetics of tacrolimus(TAC)in renal transplant patients.Methods Renal transplant patients who had taken TAC orally for more than 2 days and achieved steady-state plasma concentration before taking VRC.The trough concentration of TAC was measured on the 3rd,5th and 10th days after VRC 200 or 400 mg·d-1 administration.The trough concentration(C0)of TAC was determined by high performance liquid chromatography.The genotypes of TAC were determined by polymerase chain reaction and the pharmacokinetics of TAC after combined use of VRC were compared.Results After the use of VRC,the TAC C0 of 11 renal transplant patients was 3-8 μg·L-1,and the concentration of TAC ranged from 50.00％to 87.50％of the original dose.Additionally,the impact of VRC on TAC varied significantly among individuals.The mean TAC C0 value after VRC administration was significantly higher than the value before VRC[(12.14±3.89)vss(5.20±2.79)μg·L-1].Eleven renal transplant patients were grouped according to cytochrome P450(CYP)2C19-CYP3A5 gene polymorphism,under the condition of combined administration,the C0/dose of TAC in the slow metabolizer group was higher than that in the fast metabolizer group on the 3rd,5th and 10th days[(582.10±252.30)vs(439.03±166.08),(873.71±449.22)vs(666.60±168.00),(852.10±505.73)vs(261.50±81.98)μg·L-1·mg-1·kg;all P＜0.01].Conclusion TAC pharmacokinetics was significantly affected by the VRC in renal transplant recipients,and the principle that TAC dose needed to be reduced by one-third of the original dose was no longer applicable,which may be related to the pharmacokinetics of the VRC itself and the gene polymorphism of CYP2C19/CYP3A5 enzyme.It is recommended to regularly monitor the concentration of TAC when VRC and TAC are used in combination.

Objective:To examine the associations of BMI and waist circumference (WC) with the risk of chronic kidney disease (CKD) and its subtypes in adults in China.Methods:The data from the China Kadoorie Biobank were used. After excluding those with cancer, coronary heart disease, stroke, or CKD at baseline survey, 480 430 participants were included in this study. Their body height and weight, and WC were measured at baseline survey. Total CKD was defined as diabetic kidney disease (DKD), hypertensive nephropathy (HTN), glomerulonephritis (GN), chronic tubulointerstitial nephritis (CTIN), obstructive nephropathy (ON), CKD due to other causes, and chronic kidney failure. Cox proportional hazards regression model was used to estimate the associations between exposure factors and risks of outcomes.Results:During a follow-up period of (11.8±2.2) years, 5 486 cases of total CKD were identified, including 1 147 cases of DKD, 340 cases of HTN, 1 458 cases of GN, 460 cases of CTIN, 598 cases of ON, 418 cases of CKD due to other causes, and 1 065 cases of chronic kidney failure. After adjusting for socio-demographic factors, lifestyle factors, baseline prevalence of hypertension and diabetes, and WC and compared to participants with normal BMI (18.5-23.9 kg/m 2), the hazard ratios ( HRs) of total CKD for underweight (<18.5 kg/m 2), overweight (24.0-27.9 kg/m 2), and obese (≥28.0 kg/m 2) were 1.42 (95% CI: 1.23-1.63), 1.00 (95% CI: 0.93-1.08) and 0.98 (95% CI: 0.87-1.10), respectively. Stratification analysis by WC showed that BMI was negatively associated with risk for total CKD in non-central obese participants (WC: <85.0 cm in men and <80.0 cm in women) ( HR=0.97, 95% CI: 0.96-0.99), while the association was positive in central obese participants (≥90.0 cm in men and ≥85.0 cm in women) ( HR=1.03, 95% CI: 1.01-1.05). The association between BMI and GN was similar to that of total CKD. BMI was associated with an increased risk for HTN, with a HR of 1.12 (95% CI: 1.06-1.18) per 1.0 kg/m 2 higher BMI. After adjusting for potential confounders and BMI, compared to participants with non-central obesity, the HRs for pre-central obesity (WC: 85.0-89.9 cm in men and 80.0-84.9 in women) and central obesity were 1.26 (95% CI: 1.16-1.36) and 1.32 (95% CI: 1.20-1.45), respectively. With the exception of HTN and CTIN, WC was positively associated with risks for all CKD subtypes. Conclusions:BMI-defined underweight and central obesity were independent risk factors for total CKD, and BMI and WC had different associations with risks for disease subtypes.

Objective:To construct a parallel mediation model from the perspective of symptom clusters to verify the mediating effect of sleep disorders and depression in the relationship between pain and fatigue in elderly malignant tumor patients, and explore the pathways and relationships of the internal symptoms of fatigue associated symptom clusters.Methods:From January to April 2022, convenience sampling was used to select 312 elderly patients with malignant tumors from Beijing Hospital as respondents. General Information Questionnaire, Numerical Rating Scale, Pittsburgh Sleep Quality Index, Hospital Anxiety and Depression Scale, and Cancer Fatigue Scale were used for measurement. Spearman correlation was used to explore the correlation between pain, fatigue, depression, and sleep disorders, AMOS 24.0 was used to construct a parallel mediation model, and Bootstrap method was used to test the mediating effect.Results:A total of 312 questionnaires were distributed, and 305 valid questionnaires were collected, with an effective response rate of 97.76%. Pain of elderly patients with malignant tumors was positively correlated with fatigue ( r=0.436, P<0.01), sleep disorders ( r=0.316, P<0.01), and depression ( r=0.315, P<0.01), sleep disorders were positively correlated with fatigue ( r=0.491, P<0.01), and depression and fatigue were positively correlated ( r=0.587, P<0.01). The mediation model included two pathways: sleep disorders and depression partially mediated the relationship between pain and fatigue, accounting for 40.63% (0.221) and 14.89% (0.081) of the total effect (0.544), respectively. The total mediating effect was 55.51%, which was higher than the direct effect of 44.49%. Conclusions:There is a parallel mediating effect of pain-sleep disorder-depression-fatigue within the fatigue associated symptom cluster (pain, sleep disorders, depression, fatigue) in elderly malignant tumor patients. Medical and nursing staff can alleviate fatigue symptoms by improving the patient's pain condition and reducing their sleep disorders and depression symptoms.

Objective To investigate the application value of 3.0T MR apparent diffusion coefficient(ADC)in prognosis and pathological types of endometrial carcinoma(EC).Methods A total of 114 EC patients were retrospectively selected,and the ADC values of different pathological types were compared.The correlation between ADC and EC prognosis was analyzed by dividing the ADC quintile(Q1-Q5).Results The ADC parameters of EC patients with different pathological types were significantly different(P＜0.05).With the increase of ADC value,the correlation effect size between ADC and EC prognosis also increased(Ptrend＜0.001).ADC had a better predictive effect on EC prognosis.International Federation of Gynecology and Obstetrics(FIGO)stage,myographic invasion and ADC value had interaction with EC prognosis(P interaction＜0.05).Conclusion ADC can be used to distinguish the patho-logical types of EC.Also,ADC is significantly associated with EC prognosis while its correlation effect size increases with the increase of ADC value.ADC value interacted with FIGO stage,as well as with the degree of myographic invasion in predicting EC prognosis.

Yellowish sweating disease is one of the fluid-retention diseases recorded in Jin Gui Yao Lve(Synopsis of the Golden Cabinet).The symptoms of yellowish sweating disease are complex,involving multiple visceral lesions,which are caused by interior heat and exterior deficiency,together with the concurrent invasion of pathogens of wind and water.Huangqi Shaoyao Guizhi Kujiu Decoction(mainly composed of Astragali Radix,Paeoniae Radix Alba,Cinnamomi Ramulus and vinegar)and Guizhi Plus Huangqi Decoction(mainly composed of Cinnamomi Ramulus and Astragali Radix)are the classical formula for the treatment of yellowish sweating disease.Both of the formulas have the actions of warming defensive qi and dredging yang,removing fluid retention and resolving dampness.Usually suffering heat in the spleen and stomach,together with carelessness in daily living and wind-water pathogens attacking the exterior,contributes to the key pathogenesis of diabetes mellitus.The clinical manifestations,etiology,occurrence and progression,and prognosis of yellowish sweating disease are similar to those of diabetic complications.Therefore,the treatment of diabetes complications such as diabetic kidney disease,diabetic cardiomyopathy,diabetic peripheral neuropathy,diabetes mellitus complicated with liver dysfunction,diabetic foot,and diabetic retinopathy can follow the therapeutic principles of yellowish sweating disease,and can be achieved by the therapies of clearing heat and purging fire,dispelling cold and removing dampness,and nourishing nutritive yin and harmonizing defensive qi with the appropriate formulas.The exploration of the treatment of diabetes mellitus and its complications from the pathogenesis and symptom characteristics of yellowish sweating disease will expand the thoughts for treating diabetic complications with traditional Chinese medicine.

Objective To investigate the dynamic expression with the time change of N6-methyladenosine(m6A)methylation-related factors in the repair process of skeletal muscle injury and its mechanism in the inflammatory response of macrophage in the injure process.Methods In vivo mice models of BaCl2 injury in the gastrocnemius were established.Four mice per group in the control group and injury group.Gastrocnemius tissues were harvested at day 1,3,5,7,and 9 after injury for experiments.Primary gastrocnemius muscle tissue cells,muscle satellite cells,muscle cells,and cell line C2C12 cells were treated with dexamethasone(DEX,50 μmol/L)to mimic injury.Lipopolysaccharide(LPS,100 μg/L)induced RAW264.7 cell lines to mimic the inflammatory response after skeletal muscle injury,and STM2457(30 μmol/L)was added to inhibit the effect of methyltransferase 3(Mettl3)before LPS treatment.The expression of m6A methylation-related factors(Writers,Erasers,Readers)and inflammation factors were detected by Real-time PCR and Western blotting.Results The muscle fibers were dissolved and then gradually repaired with the extension of injury time,the number of monocytes/macrophages increased first and then decreased,and the Pax7 mRNA level increased first and then decreased with the change of injury time.Compared with the control group,the mRNA and protein levels of m6A methylation-related factors in gastrocnemius did not change significantly on the injury-1 day.However,they were significantly increased on the injury-3 days compared with the control group(P＜0.05),and then obviously decreased on the injury-5 days group compared with the injury-3 days group(P＜0.05).Compared with the control group,they were no significant differences on the injury-7 days group and-9 days group.In vitro DEX decreased the mRNA levels of m6A methyltransferase factors in primary muscle satellite cells and C2C12 cells and increased the mRNA expression level of methylation-recognition enzyme factors(P＜0.05).The mRNA levels of m6A methylation-related factors increased significantly in skeletal muscle tissue cells and myocytes after DEX treatment(P＜0.05).After LPS treatment,the mRNA and protein expression levels of m6A methylation-related factors and the mRNA expression levels of inflammatory factors interleukin(IL)-6 and IL-1β in macrophages increased significantly(P＜0.05),while the levels of IL-6 and IL-1β mRNA in macrophages decreased significantly when the Mettl3 was inhibited(P＜0.05).Conclusion m6A methylation-related factors primarily is activated in the damaged muscle cells and inflammation response of macrophages.Inhibition of m6A methyltransferase can reduce the inflammatory response of macrophages.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.