Removal of inflammatory factors and prognosis of patients with septic shock complicated with acute kidney injury by hemodiafiltration combined with HA330-II hemoperfusion.

INTRODUCTION: To explore the effect of CRRT using CVVHDF + HP on the removal of inflammatory mediators in patients with septic shock complicated with AKI. METHODS: A total of 20 patients between January 1, 2018, and December 31, 2021, were included. The patients were randomly divided into the treatment group (CVVHDF + HP) and the control group (CVVHDF). Changes in inflammatory factors, including IL-1ß, IL-6, IL-8, TNF-α, PCT, and CRP were compared. Other observed measures were also analyzed, for example, Lac, Scr, BUN, SOFA, and norepinephrine (NE) dosage. The clinical outcomes of both groups were followed up for 28 days. RESULTS: The IL-6 and PCT levels in the treatment group were significantly lower (p = 0.005, 0.007). Although the IL-1ß, TNFα, and CRP levels in the treatment group decreased, there were no statistical differences (p > 0.05). There were significant differences in Lac, SOFA, and NE dosage levels between both groups (p = 0.023, 0.01, 0.023). Survival analysis showed that the 28-day survival rate was significantly higher in the treatment group. CONCLUSION: CRRT using CVVHDF+HP can effectively remove inflammatory factors and improve the prognosis of patients.

Analysis of human epidermal growth factor receptor 2 interaction on aptamer-probed interdigitated electrode for breast cancer diagnosis.

Breast cancer has been reported to be high in its incidence with women, and early identification of breast cancer helps to improve and provide an effective treatment. Tumor markers are active substances; in particular, human epidermal growth factor receptor 2 (HER2) is over-expressed at the level of 20%-30%. This research work developed a highly sensitive HER2 biosensor on the interdigitated electrode (IDE) by using aptamer as a detection probe. To enhance the analytical performances, aptamer was attached to the gold nanoparticle and immobilized on the IDE through a chemical linker [(3-aminopropyl)triethoxysilane]. On the aptamer conjugation, HER2 was quantified through current-volt measurements, and the limit of detection of HER2 was calculated as 1 pg/mL on a linear range from 0.1 to 3000 pg/mL at an R2 (regression coefficient) of 0.9657. Further, a selective performance with human serum increased the current responses by increasing HER2 concentrations. Specific experiments with control protein and complementary aptamer sequence failed to enhance the current responses. This HER2 biosensor reflects the occurrence of breast cancer at its lower abundance and helps to identify the associated complications.

Ulinastatin ameliorates preeclampsia induced by N(gamma)-nitro-l-arginine methyl ester in a rat model via inhibition of the systemic and placental inflammatory response.

BACKGROUND: The pathogenesis of preeclampsia (PE) is associated with inflammation and endothelial damage. Ulinastatin (UTI) mainly inhibits proteolytic activity and significantly reduces the release of interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) from macrophages. It also ameliorates vascular endothelial damage in pathological conditions. Hence, we investigated the effects of UTI in a rat model of PE induced using N(gamma)-nitro-l-arginine methyl ester (L-NAME). METHODS: Although inducing PE in a rat model, 5000 U/kg of UTI were injected daily. Systolic blood pressure (SBP) and protein levels in the urine were measured. Renal function, and serum concentrations of TNF-α, IL-6, placental growth factor (PLGF), and von Willebrand factor (vWF) were evaluated. The number and weight of live fetuses as well as the weight of placentas were measured. Placentas were collected for western blot and pathological analysis. RESULTS: UTI slightly ameliorated proteinuria and the increases in SBP, blood urea nitrogen (BUN), and serum creatinine. Furthermore, UTI improved serum and placental protein expression levels of TNF-α, IL-6, vWF, and PLGF. Pathological analysis revealed that vascular density and blood flow perfusion was enhanced, vessel wall thickening and neutrophil infiltration were diminished, and the weight and number of live fetuses as well as the weight of the placentas were improved with UTI. CONCLUSION: Preventive use of UTI in the PE rat model induced by L-NAME partially alleviated hypertension, proteinuria, and impaired renal function; improved fetal growth restriction; diminished vascular endothelial injury; and ameliorated placental vasculogenesis abnormality and malperfusion by inhibiting the systemic and placental inflammatory response, suggesting that UTI is a potential drug for PE prevention or treatment.

Relationship between osteoporosis and Cushing syndrome based on bioinformatics.

BACKGROUND: Many clinical studies have reported a relatively high incidence of osteoporosis and fragility fractures in patients with Cushing syndrome (CS). However, few papers have investigated osteoporosis and CS in terms of pathogenesis, so this study explores the association between the 2 and predicts upstream micro-ribonucleic acids (miRNAs) through bioinformatics, which provides potential targets for simultaneous pharmacological interventions in both diseases and also provides a basis for pathological screening. METHODS: We used Genecards, Online Mendelian Inheritance in Man and Therapeutic Target Database databases to screen the targets of osteoporosis and Cushing syndrome; import target genes to Database for Annotation, Visualization and Integrated Discovery for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis; the intersecting genes were uploaded to Search Tool for the Retrieval of Genes and Genomes database to construct protein-protein interaction network; Cytoscape software was used to screen core genes, and Molecular Complex Detection module was used to analyze cluster modules; finally, the NetworkAnalyst data platform was used to predict the miRNAs that interact with core genes. RESULTS: The core genes of osteoporosis and Cushing syndrome were insulin, tumor necrosis factor, signal transducer and activator of transcription 3 (STAT3), interleukin-6, insulin-like growth factor 1, etc. A total of 340 upstream miRNAs including hsa-let-7a-5p, hsa-mir-30a-5p and hsa-mir-125b-5p were predicted. The biological processes involved include regulating the transcription of ribonucleic acid polymerase II promoter and participating in the transduction of cytokine signaling pathways, which focus on the binding of nerve system ligand, JAK-STAT signaling pathway, Rap1 signaling pathway, PI3K-Akt signaling pathway, etc. CONCLUSION: Osteoporosis and Cushing syndrome are closely related in terms of targets and molecular mechanisms. In this study, bioinformatics methods were used to identify their targets and mechanisms, providing potential targets for drug simultaneous regulation of the 2 diseases, and providing a new direction for exploring the relationship between diseases.

Development and Validation of a Postoperative Delirium Prediction Model for Elderly Orthopedic Patients in the Intensive Care Unit.

We developed a prediction model for delirium in elderly patients in the intensive care unit who underwent orthopedic surgery and then temporally validated its predictive power in the same hospital. In the development stage, we designed a prospective cohort study, and 319 consecutive patients aged over 65 years from January 2018 to December 2019 were screened. Demographic characteristics and clinical variables were evaluated, and a final prediction model was developed using the multivariate logistic regression analysis. In the validation stage, 108 patients were included for temporal validation between January 2020 and June 2020. The effectiveness of the model was evaluated through discrimination and calibration. As a result, the prediction model contains seven risk factors (age, anesthesia method, score of mini-mental state examination, hypoxia, major hemorrhage, level of interleukin-6, and company of family members), which had an area under the receiver operating characteristics curve of 0.82 (95% confidence interval 0.76-0.88) and was stable after bootstrapping. The temporal validation resulted in an area under the curve of 0.80 (95% confidence interval 0.67-0.93). Our prediction model had excellent discrimination power in predicting postoperative delirium in elderly patients and could assist intensive care physicians with early prevention.

Understanding differences in Er3+-Yb3+ codoped glass and glass ceramic based on upconversion luminescence for optical thermometry.

Optical thermometry has attracted growing consideration due to its outstanding performance. In this research, precursor glass with compositions of 50SiO2-20Al2O3-30CaF2-0.5ErF3-1YbF3 and the corresponding CaF2 glass ceramic were prepared for optical temperature sensing comparison. A large enhancement in upconversion luminescence originated from thermally coupled energy levels (2H11/2 and 4S3/2) and 4F9/2 was confirmed in the transparent glass ceramic (GC). Importantly, the temperature-dependent upconversion fluorescence intensity ratios of glass and GC were investigated from 303 K to 573 K under a 980 nm laser with constant pumping power. It was found that GC shows weaker optical thermometry ability than the precursor glass in terms of temperature sensitivity, the maximum relative sensitivity of GC reached to 10.6 × 10-3 K-1 at 303 K while that of the glass is 11.15 × 10-3 K-1 at 303 K, the thermally coupled energy gap reduced about 34.2 cm-1 after crystallization, we attribute this change to the crystal field effect. Furthermore, the FIR value variation of glass shows weaker pumping power dependence than GC in terms of thermal effect induced by laser. The temperature-cycle measurements suggest that both glass and GC exhibit favorable thermal stability. Consequently, our results may contribute to enriching our understanding of the optical temperature sensing properties of glass and glass ceramic in other systems and provide a comprehensive perspective to design practical optical thermometry materials.