A 3D-printed PCL/PEI/DNA bioactive scaffold for chemotherapy drug capture in vivo.

Systemic chemotherapy after surgery is necessary to control tumor recurrence, but the severe side effects caused by chemotherapeutic drugs pose a great threat to patients' health. In this study, we originally develop a porous scaffold used for chemotherapy drug capture by using 3D printing technology. The scaffold is mainly composed of poly (ε-caprolactone) (PCL) and polyetherimide (PEI) with a mass ratio of 5/1. Subsequently, the printed scaffold is modified with DNA through the strong electrostatic integration between DNA and PEI to endow the scaffold with the specific absorption to doxorubicin (DOX, a widely used chemotherapy drug). The results show that pore diameter has an important influence on DOX adsorption, and smaller pores will ensure a higher DOX absorption. In vitro, the printed scaffold can absorb about 45 % DOX. While in vivo, it remains a higher absorption ability to DOX when the scaffold is successfully implanted into the common jugular vein of rabbits. What's more, the scaffold has good hemocompatibility and biocompatibility, indicating its safety for in vivo application. Taken together, the 3D-printed scaffold with excellent capture of chemotherapy drugs will play an important role in reducing the toxic side effects of chemotherapy drugs and improving the life quality of patients.

Complement 3 and the Prognostic Nutritional Index Distinguish Kawasaki Disease from Other Fever Illness with a Nomogram.

OBJECTIVE: This study aimed to establish a model to distinguish Kawasaki disease (KD) from other fever illness using the prognostic nutritional index (PNI) and immunological factors. METHOD: We enrolled a total of 692 patients (including 198 with KD and 494 children with febrile diseases). Of those, 415 patients were selected to be the training group and 277 patients to be the validation group. Laboratory data, including the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the prognostic nutritional index (PNI), and immunological factors, were retrospectively collected for an analysis after admission. We used univariate and multivariate logistic regressions and nomograms for the analysis. RESULT: Patients with KD showed significantly higher C3 and a lower PNI. After a multivariate logistic regression, the total leukocyte count, PNI, C3, and NLR showed a significance (p < 0.05) and then performed well with the nomogram model. The areas under the ROC in the training group and the validation group were 0.858 and 0.825, respectively. The calibration curves of the two groups for the probability of KD showed a near agreement to the actual probability. CONCLUSIONS:  Compared with children with febrile diseases, patients with KD showed increased C3 and a decreased nutritional index of the PNI. The nomogram established with these factors could effectively identify KD from febrile illness in children.

A Nomogram Model Identifies Eosinophilic Frequencies to Powerfully Discriminate Kawasaki Disease From Febrile Infections.

Background: Kawasaki disease (KD) is a form of systemic vasculitis that occurs primarily in children under the age of 5 years old. No single laboratory data can currently distinguish KD from other febrile infection diseases. The purpose of this study was to establish a laboratory data model that can differentiate between KD and other febrile diseases caused by an infection in order to prevent coronary artery complications in KD. Methods: This study consisted of a total of 800 children (249 KD and 551 age- and gender-matched non-KD febrile infection illness) as a case-control study. Laboratory findings were analyzed using univariable, multivariable logistic regression, and nomogram models. Results: We selected 562 children at random as the model group and 238 as the validation group. The predictive nomogram included high eosinophil percentage (100 points), high C-reactive protein (93 points), high alanine transaminase (84 points), low albumin (79 points), and high white blood cell (64 points), which generated an area under the curve of 0.873 for the model group and 0.905 for the validation group. Eosinophilia showed the highest OR: 5.015 (95% CI:-3.068-8.197) during multiple logistic regression. The sensitivity and specificity in the validation group were 84.1 and 86%, respectively. The calibration curves of the validation group for the probability of KD showed near an agreement to the actual probability. Conclusion: Eosinophilia is a major factor in this nomogram model and had high precision for predicting KD. This report is the first among the existing literature to demonstrate the important role of eosinophil in KD by nomogram.

A novel nomogram model for differentiating Kawasaki disease from sepsis.

Kawasaki disease (KD) is a form of systemic vasculitis that occurs in children under the age of 5 years old. Due to prolonged fever and elevated inflammatory markers that are found in both KD and sepsis, the treatment approach differs for each. We enrolled a total of 420 children (227 KD and 193 sepsis) in this study. Logistic regression and a nomogram model were used to analyze the laboratory markers. We randomly selected 247 children as the training modeling group and 173 as the validation group. After completing a logistic regression analysis, white blood cell (WBC), anemia, procalcitonin (PCT), C-reactive protein (CRP), albumin, and alanine transaminase (ALT) demonstrated a significant difference in differentiating KD from sepsis. The patients were scored according to the nomogram, and patients with scores greater than 175 were placed in the high-risk KD group. The area under the curve of the receiver operating characteristic curve (ROC curve) of the modeling group was 0.873, sensitivity was 0.893, and specificity was 0.746, and the ROC curve in the validation group was 0.831, sensitivity was 0.709, and specificity was 0.795. A novel nomogram prediction model may help clinicians differentiate KD from sepsis with high accuracy.

Soft Rod-Climbing Robot Inspired by Winding Locomotion of Snake.

Soft climbing robots have attracted much attention of researchers for their potential applications on the wall or inside the tube. However, making a soft robot climb on the outer surface of a rod or tube by agile and efficient motion has long been a challenge. Inspired by the winding climbing locomotion of arboreal snakes, a tethered pneumatic-actuated winding-styled soft rod-climbing robot that consists of two winding actuators and a telescopic actuator is proposed in this work. Based on constant curvature assumption, we develop a theoretical model to analyze the linear and bending motion of the actuators. We demonstrate that our robot can perform climbing locomotion similar to snakes, including turning around a corner along a rod, climbing a vertical rod with a maximum speed of 30.85 mm/s (0.193 body length/s), and carrying a larger payload (weight, 500 g, more than 25 times its self-weight) than existing soft climbing robots do on a vertical surface. In addition, the experimental tests exhibit the potential applications of the robot in special environments such as high-voltage cables, nuclear power plants, and underwater sites.

Factors influencing the accumulation of organochlorine pesticides in the surface soil across the Central Tibetan Plateau, China.

Forty-four soil samples were collected across the Central Tibetan Plateau (CTP) at elevations of between 3711 and 5352 m. The scatter diagram shows that the soil concentrations of organochlorine pesticides (OCPs) were associated with the altitude of sampling site, soil clay minerals, soil organic carbon (SOC) and the fine particle fractions of soil. Pearson correction analysis and principle component analysis were used to deduce the relationship between the OCP concentrations and these factors logically. It was determined that the altitude and clays functioned as the primary factors influencing OCP accumulation, and SOC was weakly related to OCPs. The fitting equation closely matches the observations in the field while only taking the altitude and clay minerals into account. Our study found that clay minerals dominated the sorption of OCPs in soil, whereas the altitude contributed to temperature-driven condensation for the accumulation of OCPs at high altitudinal CTP.

Persistent organic pollutants in soil near the Changwengluozha glacier of the Central Tibetan Plateau, China: their sorption to clays and implication.

Twenty-seven soil samples were collected at ca. 5,000 m from the Changwengluozha glacier. In addition to soil components, the concentration of 23 organochlorine pesticides (OCPs) and 16 polycyclic aromatic hydrocarbons (PAHs) were analyzed. Clay minerals were found to play a key role in the accumulation of OCPs/PAHs in soil. The sorption ratio of chemical to clay was ordered in the OCPs and PAHs to the vapor pressure in a negatively correlated fashion. Because of the negative relationship between vapor pressure and the soil-air partition coefficients (KSA), it was understood that the higher sorption ratio responded to a higher KSA, which indicated the fate of the contaminants in soil. The soil near the Changwengluozha glacier functioned as a "sink" for OCPs in the decreasing order of 2,4'-DDT, 4,4'-DDD, HCB, δ-HCH, and α-HCH and for PAHs in an decreasing order of Pyr, Flu, Fl, Ace, and Acy.