BACKGROUND: Chronic kidney disease (CKD) is associated with common pathophysiological processes, such as inflammation and fibrosis, in both the heart and the kidney. However, the underlying molecular mechanisms that drive these processes are not yet fully understood. Therefore, this study focused on the molecular mechanism of heart and kidney injury in CKD. METHODS: We generated an microRNA (miR)-26a knockout (KO) mouse model to investigate the role of miR-26a in angiotensin (Ang)-II-induced cardiac and renal injury. We performed Ang-II modeling in wild type (WT) mice and miR-26a KO mice, with six mice in each group. In addition, Ang-II-treated AC16 cells and HK2 cells were used as in vitro models of cardiac and renal injury in the context of CKD. Histological staining, immunohistochemistry, quantitative real-time polymerase chain reaction (PCR), and Western blotting were applied to study the regulation of miR-26a on Ang-II-induced cardiac and renal injury. Immunofluorescence reporter assays were used to detect downstream genes of miR-26a, and immunoprecipitation was employed to identify the interacting protein of LIM and senescent cell antigen-like domain 1 (LIMS1). We also used an adeno-associated virus (AAV) to supplement LIMS1 and explored the specific regulatory mechanism of miR-26a on Ang-II-induced cardiac and renal injury. Dunnett's multiple comparison and t -test were used to analyze the data. RESULTS: Compared with the control mice, miR-26a expression was significantly downregulated in both the kidney and the heart after Ang-II infusion. Our study identified LIMS1 as a novel target gene of miR-26a in both heart and kidney tissues. Downregulation of miR-26a activated the LIMS1/integrin-linked kinase (ILK) signaling pathway in the heart and kidney, which represents a common molecular mechanism underlying inflammation and fibrosis in heart and kidney tissues during CKD. Furthermore, knockout of miR-26a worsened inflammation and fibrosis in the heart and kidney by inhibiting the LIMS1/ILK signaling pathway; on the contrary, supplementation with exogenous miR-26a reversed all these changes. CONCLUSIONS Our findings suggest that miR-26a could be a promising therapeutic target for the treatment of cardiorenal injury in CKD. This is attributed to its ability to regulate the LIMS1/ILK signaling pathway, which represents a common molecular mechanism in both heart and kidney tissues.
Animals ; MicroRNAs/metabolism* ; Angiotensin II/toxicity* ; Mice ; Renal Insufficiency, Chronic/chemically induced* ; Mice, Knockout ; Disease Models, Animal ; Male ; Signal Transduction/genetics* ; LIM Domain Proteins/genetics* ; Mice, Inbred C57BL ; Cell Line ; Humans

OBJECTIVE: To explore the effectiveness of primary interventional revascularization combined with secondary perforator composite flap in the treatment of peripheral arterial disease (PAD) accompanied by soft tissue defects around the ankle. METHODS: Between January 2022 and January 2025, 12 patients with PAD and soft tissue defects around the ankle were admitted. Among them, there were 9 males and 3 females; their ages ranged from 52 to 82 years, with an average of 68.9 years. The causes of injury included 4 cases of traffic accident, 5 cases of falls, 1 case of falling from height, 1 case of foreign body puncture injury, and 1 case of electric shock injury. The infection duration ranged from 1 month to 35 years, with a median duration of 3.5 months. The wound size ranged from 5.5 cm×3.0 cm to 15.0 cm×9.0 cm. The ankle-brachial index (ABI) was 0.32±0.12. The visual analogue scale (VAS) score for pain was 3.3±0.5. Preoperative vascular stenosis assessment was performed in all patients, with primary intervention to dredge large and medium-sized arteries, followed by secondary repair of the wound using a perforator composite flap. The flap size ranged from 6.5 cm×4.0 cm to 16.0 cm×10.0 cm. The donor sites were sutured directly or repaired with skin grafts. After two stages of treatment, the effectiveness was evaluated by measuring ABI, observing flap survival and wound healing, assessing VAS scores, and American Orthopedic Foot and Ankle Society (AOFAS) scores. RESULTS: All 12 cases completed two stages of treatment; all patients were followed up after the second-stage treatment, with a follow-up period ranging from 7 to 28 months, with an average of 16.8 months. After the first-stage treatment, the skin temperature around the ankle was significantly higher than that before treatment, and the ABI increased to 0.71±0.07, with a significant difference ( t=9.918, P<0.001). After the second-stage treatment, the blisters on the distal end of the skin flap occurred in 3 cases. The flaps survived and the wounds healed, with a healing time ranging from 10 to 14 days (mean, 11.8 days). The incisions at the donor site healed by first intention, and the skin grafts survived. The VAS score was 0.5±0.5 at 3 weeks, which was significantly lower than that before treatment ( t=13.675, P<0.001). No infection recurrence occurred during follow-up. At 6 months after the second-stage treatment, the AOFAS score of the ankle joint ranged from 92 to 97, with an average of 94.7, all reaching excellent. CONCLUSION Interventional revascularization combined with perforator composite flap for staged treatment of PAD with ankle soft tissue defects can obtain good effectiveness, by unclogging the main blood vessels, improving lower limb blood supply, and improving the survival rate of the skin flap.
Humans ; Male ; Female ; Middle Aged ; Aged ; Peripheral Arterial Disease/surgery* ; Soft Tissue Injuries/surgery* ; Perforator Flap/blood supply* ; Plastic Surgery Procedures/methods* ; Aged, 80 and over ; Ankle/blood supply* ; Treatment Outcome ; Ankle Brachial Index ; Skin Transplantation/methods*

AIM:To investigate the association between single nucleotide polymorphisms(SNPs)in the silent information regulator 1(SIRT1)gene and breast cancer risk in the Han Chinese population.METHODS:A total of 105 Han Chinese patients with breast cancer and 90 healthy controls were enrolled.Sequenom MassARRAY was used to detect the genotypes of SIRT1 gene loci,rs3740051,rs3758391,rs12778366 and rs2394443.The Hardy-Weinberg equilibrium(HWE)was analysed using the chi-square test.Multivariate logistic regression was employed to analyze the correlation be-tween each SNP and breast cancer susceptibility,as well as the relationship between the rs3758391 genotype and the clini-copathological characteristics of breast cancer in Han Chinese women.SHEsis software was used to assess linkage disequi-librium and haplotypes of the selected SNPs.The impact of genotypes at rs3758391 locus on SIRT1 protein expression was examined using Western blot.An additional 150 Han Chinese women with breast cancer and 150 healthy controls were en-rolled,and SIRT1 protein expression was assessed using immunohistochemistry.Logistic regression was performed to as-sess the relationship between high and low SIRT1 expression and the clinical characteristics of breast cancer.Kaplan-Mei-er website was used to determine the association between SIRT1 expression and patient prognosis.RESULTS:All four SNP loci conformed to the HWE test(P>0.05).The TC/TC+CC genotype of the SIRT1 rs3758391 locus significantly re-duced the risk of breast cancer compared with the TT genotype(TT vs TC:ORadj=0.348,95%CI:0.157～0.773,Padj=0.010;TT vs TC+CC:ORadj=0.381,95%CI:0.179～0.811,Padj=0.012),and correlated with earlier disease course(stage I/II),smaller tumor volume,and higher SIRT1 protein expression levels(P<0.05).SIRT1 expression was signifi-cantly lower in breast cancer tissues,and low SIRT1 expression was associated with larger tumor size,lymph node metasta-sis,and reduced recurrence-free survival(P<0.05).CONCLUSION:The TC/TC+CC genotype of the SIRT1 rs3758391 locus may be a protective factor for breast cancer in Han Chinese women,potentially reducing the risk of breast cancer and delaying disease progression by regulating SIRT1 expression.In addition,SIRT1 expression level is closely related to the clinical characteristics and prognosis of breast cancer.

Objective To meet the clinical need for dynamic monitoring on lactate metabolism in septic shock pa-tients,a time-series prediction model based on a long short-term memory(LSTM)network was developed to predict 24-hour lactate clearance rate at admission.Methods A multi-stage retrospective cohort design was adopted to en-roll septic shock patients admitted to the department of critical care medicine of a hospital from January 2018 to Sep-tember 2024.By conducting univariate analysis and LASSO combined feature screening,predictive factors were extracted from multidimensional clinical data.An end-to-end LSTM framework(two-layer 64/32 units,dropout rate=0.3)was constructed.A sliding window strategy(six-hour step size)was adopted for dynamic prediction and compared with traditional logistic model in terms of three dimensions:calibration(Brier score),discrimination(area under the curve[AUC]of time-dependent receiver operating characteristic[ROC]),and clinical practicality(deci-sion curve analysis).Consistency between model prediction result and actual lactate clearance rate was analyzed,and the accuracy of prediction was evaluated.Results A total of 112 septic shock patients were enrolled in the analysis,including 65 males and 47 females,with an average age of(67.35±7.28)years.65 patients were assigned in the lactate good clearance rate group(lactate good clearance rate≥10％)and 47 in the lactate poor clearance rate group(lactate good clearance rate＜10％);78 patients were in the training set and 34 in the validation set.Time-depen-dent AUC analysis revealed that the predictive performance of the LSTM model in the time windows of 6,12,and 24 hours were 0.89(0.85-0.93),0.91(0.88-0.95),and 0.92(0.89-0.96),respectively,superior to the logistic regression model(ΔAUC=0.085,P＜0.01).The core predictive factors included APACHE Ⅱ score(OR=1.38),lactate level at admission(OR=1.65),vasoactive drug dosage(OR=1.42),and 6-hour fluid resuscitation dosage(OR=1.35).The Pearson correlation coefficient between the predicted value of the model and the actual 24-hour lactate clearance rate was 0.83(P＜0.001),with an average absolute error of 8.2％.Decision curve analysis confirmed that when the threshold probability was 15％-60％,the LSTM model could increase clinical net benefits by 27.3％.The validation of each subgroup showed that the model maintained the optimal predictive performance(AUC=0.87)in the lung infection subgroup(n=16).Conclusion The LSTM-based dynamic prediction model for predicting 24-hour lactate clearance rate through integrating early admission indicators demonstrates excellent pre-dictive performance and clinical application value,which can provide important reference for individualized treatment decisions in septic shock patients.

Objective:To explore the effects of different titanium(Ti)surfaces on mitochondria metabolism and polarization of mac-rophages.Methods:The anodic oxidation method prepared nanotubes with distinct morphologies(NT5 and NT20 groups)on smooth titanium surfaces(P group)were characterized by scanning electron microscopy(SEM).After 24 hours of culturing RAW264.7 cells on the samples,SEM was employed to observe the morphology of the cells of all groups.Levels of mitochondria ATP and ROS,as well as the activity of hexokinase(HK),were measured by fluorescence probes and luciferase assays.The expression of iNOS,Arg-1,TNF-α and CD206 mRNA was evaluated by RT-qPCR.Changes in mitochondria metabolism and macrophage polarization were studied following inhibition of cellular glycolysis by using 2-deoxy-D-glucose(2-DG)in groups P*and NT20*.Results:Compared with the P group,the NT5 group showed no significant changes in mitochondria ATP,ROS levels and HK activity,but an upregula-tion in M2-associated gene expression was observed.In the NT20 group,mitochondria ATP and ROS levels were increased,HK ac-tivity was elevated,and M1-associated gene expression was upregulated.After glycolysis inhibition,there was no significant differ-ence in mitochondria ATP,ROS levels,HK activity and polarization-related gene expression levels between the P*and NT20*groups compared with the P group.Conclusion:Large-diameter nanotubes may promote macrophage M1 polarization by regulating the metabolic reprogramming that occurs in macrophage mitochondria.

Objective:To explore the mediating effect of intrinsic motivation of nurses between empowering leadership and job performance, with the aim of providing a reference basis for managers to develop a scientific and effective intervention programme to improve nurses′ job performance.Methods:Convenience sampling method was used to select 1 213 clinical nurses from four tertiary general hospitals in Shandong Province, Henan Province, Yunnan Province, and Fujian Province from November to December 2023, and General Information Questionnaire, Empowering Leadership Scale, Intrinsic Motivation Scale, and Job Performance Scale were used to conduct a cross-sectional survey. AMOS26.0 software was used to test the mediating effect of intrinsic motivation of nurses between empowering leadership and job performance.Results:A total of 1 100 nurses completed the survey finally. Among them, there were 58 males and 1 042 females, 474 under 31 years old, 448 between 31-40 years old, and 178 over 40 years old.The total scores of the Empowering Leadership Scale, Intrinsic Motivation Scale, and Job Performance Scale were 49.44 ± 10.04, 82.35 ± 13.54 and 46.27 ± 6.20 in that order. Nurses' job performance were positive correlation with the empowered leadership and intrinsic motivation ( r=0.486, 0.703, both P<0.01), there was a positive correlation between nurse empowerment leadership and intrinsic motivation ( r=0.452, P<0.01). Nurses′ intrinsic motivation partially mediates the relationship between empowering leadership and job performance, accounting for 62.69% of the total effect. Conclusions:Intrinsic motivation of nurses is a mediating variable between empowered leadership and job performance. Nursing managers should focus on nurses' participation in autonomous decision-making to enhance nurses′ sense of competence and meaning at work, and mobilise their motivation to improve job performance.

AIM:To investigate the association between single nucleotide polymorphisms(SNPs)in the silent information regulator 1(SIRT1)gene and breast cancer risk in the Han Chinese population.METHODS:A total of 105 Han Chinese patients with breast cancer and 90 healthy controls were enrolled.Sequenom MassARRAY was used to detect the genotypes of SIRT1 gene loci,rs3740051,rs3758391,rs12778366 and rs2394443.The Hardy-Weinberg equilibrium(HWE)was analysed using the chi-square test.Multivariate logistic regression was employed to analyze the correlation be-tween each SNP and breast cancer susceptibility,as well as the relationship between the rs3758391 genotype and the clini-copathological characteristics of breast cancer in Han Chinese women.SHEsis software was used to assess linkage disequi-librium and haplotypes of the selected SNPs.The impact of genotypes at rs3758391 locus on SIRT1 protein expression was examined using Western blot.An additional 150 Han Chinese women with breast cancer and 150 healthy controls were en-rolled,and SIRT1 protein expression was assessed using immunohistochemistry.Logistic regression was performed to as-sess the relationship between high and low SIRT1 expression and the clinical characteristics of breast cancer.Kaplan-Mei-er website was used to determine the association between SIRT1 expression and patient prognosis.RESULTS:All four SNP loci conformed to the HWE test(P>0.05).The TC/TC+CC genotype of the SIRT1 rs3758391 locus significantly re-duced the risk of breast cancer compared with the TT genotype(TT vs TC:ORadj=0.348,95%CI:0.157～0.773,Padj=0.010;TT vs TC+CC:ORadj=0.381,95%CI:0.179～0.811,Padj=0.012),and correlated with earlier disease course(stage I/II),smaller tumor volume,and higher SIRT1 protein expression levels(P<0.05).SIRT1 expression was signifi-cantly lower in breast cancer tissues,and low SIRT1 expression was associated with larger tumor size,lymph node metasta-sis,and reduced recurrence-free survival(P<0.05).CONCLUSION:The TC/TC+CC genotype of the SIRT1 rs3758391 locus may be a protective factor for breast cancer in Han Chinese women,potentially reducing the risk of breast cancer and delaying disease progression by regulating SIRT1 expression.In addition,SIRT1 expression level is closely related to the clinical characteristics and prognosis of breast cancer.

Objective To meet the clinical need for dynamic monitoring on lactate metabolism in septic shock pa-tients,a time-series prediction model based on a long short-term memory(LSTM)network was developed to predict 24-hour lactate clearance rate at admission.Methods A multi-stage retrospective cohort design was adopted to en-roll septic shock patients admitted to the department of critical care medicine of a hospital from January 2018 to Sep-tember 2024.By conducting univariate analysis and LASSO combined feature screening,predictive factors were extracted from multidimensional clinical data.An end-to-end LSTM framework(two-layer 64/32 units,dropout rate=0.3)was constructed.A sliding window strategy(six-hour step size)was adopted for dynamic prediction and compared with traditional logistic model in terms of three dimensions:calibration(Brier score),discrimination(area under the curve[AUC]of time-dependent receiver operating characteristic[ROC]),and clinical practicality(deci-sion curve analysis).Consistency between model prediction result and actual lactate clearance rate was analyzed,and the accuracy of prediction was evaluated.Results A total of 112 septic shock patients were enrolled in the analysis,including 65 males and 47 females,with an average age of(67.35±7.28)years.65 patients were assigned in the lactate good clearance rate group(lactate good clearance rate≥10％)and 47 in the lactate poor clearance rate group(lactate good clearance rate＜10％);78 patients were in the training set and 34 in the validation set.Time-depen-dent AUC analysis revealed that the predictive performance of the LSTM model in the time windows of 6,12,and 24 hours were 0.89(0.85-0.93),0.91(0.88-0.95),and 0.92(0.89-0.96),respectively,superior to the logistic regression model(ΔAUC=0.085,P＜0.01).The core predictive factors included APACHE Ⅱ score(OR=1.38),lactate level at admission(OR=1.65),vasoactive drug dosage(OR=1.42),and 6-hour fluid resuscitation dosage(OR=1.35).The Pearson correlation coefficient between the predicted value of the model and the actual 24-hour lactate clearance rate was 0.83(P＜0.001),with an average absolute error of 8.2％.Decision curve analysis confirmed that when the threshold probability was 15％-60％,the LSTM model could increase clinical net benefits by 27.3％.The validation of each subgroup showed that the model maintained the optimal predictive performance(AUC=0.87)in the lung infection subgroup(n=16).Conclusion The LSTM-based dynamic prediction model for predicting 24-hour lactate clearance rate through integrating early admission indicators demonstrates excellent pre-dictive performance and clinical application value,which can provide important reference for individualized treatment decisions in septic shock patients.

Objective:To explore the mediating effect of intrinsic motivation of nurses between empowering leadership and job performance, with the aim of providing a reference basis for managers to develop a scientific and effective intervention programme to improve nurses′ job performance.Methods:Convenience sampling method was used to select 1 213 clinical nurses from four tertiary general hospitals in Shandong Province, Henan Province, Yunnan Province, and Fujian Province from November to December 2023, and General Information Questionnaire, Empowering Leadership Scale, Intrinsic Motivation Scale, and Job Performance Scale were used to conduct a cross-sectional survey. AMOS26.0 software was used to test the mediating effect of intrinsic motivation of nurses between empowering leadership and job performance.Results:A total of 1 100 nurses completed the survey finally. Among them, there were 58 males and 1 042 females, 474 under 31 years old, 448 between 31-40 years old, and 178 over 40 years old.The total scores of the Empowering Leadership Scale, Intrinsic Motivation Scale, and Job Performance Scale were 49.44 ± 10.04, 82.35 ± 13.54 and 46.27 ± 6.20 in that order. Nurses' job performance were positive correlation with the empowered leadership and intrinsic motivation ( r=0.486, 0.703, both P<0.01), there was a positive correlation between nurse empowerment leadership and intrinsic motivation ( r=0.452, P<0.01). Nurses′ intrinsic motivation partially mediates the relationship between empowering leadership and job performance, accounting for 62.69% of the total effect. Conclusions:Intrinsic motivation of nurses is a mediating variable between empowered leadership and job performance. Nursing managers should focus on nurses' participation in autonomous decision-making to enhance nurses′ sense of competence and meaning at work, and mobilise their motivation to improve job performance.