Altered distribution and loss of ACE2 into the urine in acute kidney injury.

There are diverse pathophysiological mechanisms involved in acute kidney injury (AKI). Among them, overactivity of the renin angiotensin system (RAS) has been described. Angiotensin converting enzyme 2 (ACE2) is a tissue RAS enzyme expressed in the apical border of proximal tubules. Given the important role of ACE2 in the metabolism of Angiotensin II this study was aimed to characterize kidney and urinary ACE2 in amouse model of AKI. Ischemia reperfusion injury (IRI) was induced in C57BL/6 mice by clamping of the left renal artery followed by removal of the right kidney. In kidneys harvested 48 hours after IRI, immunostaining revealed a striking maldistribution of ACE2 including spillage into the tubular lumen and presence of ACE2 positive luminal casts in the medulla. In cortical membranes ACE2 protein and enzymatic activity were both markedly reduced (37±4 vs. 100±6 ACE2/ß-Actin, P=0.0004 and 96±14 vs. 152±6 RFU/µg protein/h P=0.006). In urine, the full-length membrane bound ACE2 protein (100kD) was markedly increased (1120±405 vs. 100±46 ACE2/µg Crea, P=0.04) and casts stained for ACE2 were recovered in the urine sediment. In AKI caused by IRI there is a marked loss of ACE2 from the apical tubular border with deposition of ACE2 positive material in the medulla and increased urinary excretion of the full length-membrane bound ACE2 protein. The deficiency of tubular ACE2 in AKI suggests that provision of this enzyme could have therapeutic applications and that its excretion in the urine may also serve as a diagnostic marker of severe proximal tubular injury.

Hypoxia inducible factor 2α promotes tolerogenic macrophage development during cardiac transplantation through transcriptional regulation of colony stimulating factor 1 receptor.

Solid organ transplantation mobilizes myeloid cells, including monocytes and macrophages, which are central protagonists of allograft rejection. However, myeloid cells can also be functionally reprogrammed by perioperative costimulatory blockade to promote a state of transplantation tolerance. Transplantation tolerance holds promise to reduce complications from chronic immunosuppression and promote long-term survival in transplant recipients. We sought to identify different mediators of transplantation tolerance by performing single-cell RNA sequencing of acute rejecting or tolerized cardiac allografts. This led to the unbiased identification of the transcription factor, hypoxia inducible factor (HIF)-2α, in a subset of tolerogenic monocytes. Using flow cytometric analyses and mice with conditional loss or gain of function, we uncovered that myeloid cell expression of HIF-2α was required for costimulatory blockade-induced transplantation tolerance. While HIF-2α was dispensable for mobilization of tolerogenic monocytes, which were sourced in part from the spleen, it promoted the expression of colony stimulating factor 1 receptor (CSF1R). CSF1R mediates monocyte differentiation into tolerogenic macrophages and was found to be a direct transcriptional target of HIF-2α in splenic monocytes. Administration of the HIF stabilizer, roxadustat, within micelles to target myeloid cells, increased HIF-2α in splenic monocytes, which was associated with increased CSF1R expression and enhanced cardiac allograft survival. These data support further exploration of HIF-2α activation in myeloid cells as a therapeutic strategy for transplantation tolerance.

Enhanced abscopal anti-tumor response via a triple combination of thermal ablation, IL-21, and PD-1 inhibition therapy.

Despite the success of immune checkpoint inhibitors (ICIs) in treating solid tumors, lots of patients remain unresponsive to this therapy. Microwave ablation (MWA) stimulates systemic adaptive immunity against tumor cells by releasing tumor antigens. Additionally, IL-21 has demonstrated importance in stimulating T-cell effector function. The combination of these three therapies-MWA, IL-21, and anti-PD-1 monoclonal antibodies (mAbs)-has yet to be explored in the context of cancer treatment.In this study, we explored the impact of thermal ablation on IL-21R expression in tumor-infiltrating lymphocytes (TILs). Subsequently, we assessed alterations in the tumor microenvironment (TME) and peripheral lymphoid organs. Additionally, we conducted a thorough examination of tumor-infiltrating CD45+ immune cells across various treatment groups using single-cell RNA sequencing (scRNA-seq). Moreover, we determined the potential anti-tumor effects of the triple combination involving MWA, IL-21, and anti-PD-1 mAbs.Our findings revealed that MWA upregulated the expression of IL-21R on various immune cells in the untreated tumors. The combination of MWA with IL-21 exhibited a robust abscopal anti-tumor effect, enhancing the effector function of CD8+ T cells and facilitating dendritic cells' maturation and antigen presentation in the untreated tumor. Notably, the observed abscopal anti-tumor effect resulting from the combination is contingent upon T-cell recirculation, indicating the reliance of systemic adaptive immunity for this treatment regimen. Additionally, the combination of MWA, IL-21, and PD-1 mAbs demonstrated profound abscopal anti-tumor efficacy. Our findings provide support for further clinical investigation into a triple combination therapy involving MWA, IL-21, and ICIs for the treatment of metastatic cancer.

Mixed-Dimensional Assembly Strategy to Construct Reduced Graphene Oxide/Carbon Foams Heterostructures for Microwave Absorption, Anti-Corrosion and Thermal Insulation.

Considering the serious electromagnetic wave (EMW) pollution problems and complex application condition, there is a pressing need to amalgamate multiple functionalities within a single substance. However, the effective integration of diverse functions into designed EMW absorption materials still faces the huge challenges. Herein, reduced graphene oxide/carbon foams (RGO/CFs) with two-dimensional/three-dimensional (2D/3D) van der Waals (vdWs) heterostructures were meticulously engineered and synthesized utilizing an efficient methodology involving freeze-drying, immersing absorption, secondary freeze-drying, followed by carbonization treatment. Thanks to their excellent linkage effect of amplified dielectric loss and optimized impedance matching, the designed 2D/3D RGO/CFs vdWs heterostructures demonstrated commendable EMW absorption performances, achieving a broad absorption bandwidth of 6.2 GHz and a reflection loss of - 50.58 dB with the low matching thicknesses. Furthermore, the obtained 2D/3D RGO/CFs vdWs heterostructures also displayed the significant radar stealth properties, good corrosion resistance performances as well as outstanding thermal insulation capabilities, displaying the great potential in complex and variable environments. Accordingly, this work not only demonstrated a straightforward method for fabricating 2D/3D vdWs heterostructures, but also outlined a powerful mixed-dimensional assembly strategy for engineering multifunctional foams for electromagnetic protection, aerospace and other complex conditions.

USFM: A universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis.

Inadequate generality across different organs and tasks constrains the application of ultrasound (US) image analysis methods in smart healthcare. Building a universal US foundation model holds the potential to address these issues. Nevertheless, the development of such foundation models encounters intrinsic challenges in US analysis, i.e., insufficient databases, low quality, and ineffective features. In this paper, we present a universal US foundation model, named USFM, generalized to diverse tasks and organs towards label efficient US image analysis. First, a large-scale Multi-organ, Multi-center, and Multi-device US database was built, comprehensively containing over two million US images. Organ-balanced sampling was employed for unbiased learning. Then, USFM is self-supervised pre-trained on the sufficient US database. To extract the effective features from low-quality US images, we proposed a spatial-frequency dual masked image modeling method. A productive spatial noise addition-recovery approach was designed to learn meaningful US information robustly, while a novel frequency band-stop masking learning approach was also employed to extract complex, implicit grayscale distribution and textural variations. Extensive experiments were conducted on the various tasks of segmentation, classification, and image enhancement from diverse organs and diseases. Comparisons with representative US image analysis models illustrate the universality and effectiveness of USFM. The label efficiency experiments suggest the USFM obtains robust performance with only 20% annotation, laying the groundwork for the rapid development of US models in clinical practices.

α5-nAChR/ADAM10 signaling mediates nicotine-related cutaneous melanoma progression via STAT3 activation.

Skin cutaneous melanoma (SKCM) is the skin malignancy with the highest mortality rate, and its morbidity rate is on the rise worldwide. Smoking is an independent marker of poor prognosis in melanoma. The α5-nicotinic acetylcholine receptor (α5-nAChR), one of the receptors for nicotine, is involved in the proliferation, migration and invasion of SKCM cells. Nicotine has been reported to promote the expression of a disintegrin and metalloproteinase 10 (ADAM10), which is the key gene involved in melanoma progression. Here, we explored the link between α5-nAChR and ADAM10 in nicotine-associated cutaneous melanoma. α5-nAChR expression was correlated with ADAM10 expression and lower survival in SKCM. α5-nAChR mediated nicotine-induced ADAM10 expression via STAT3. The α5-nAChR/ADAM10 signaling axis was involved in the stemness and migration of SKCM cells. Furthermore, α5-nAChR expression was associated with ADAM10 expression, EMT marker expression and stemness marker expression in nicotine-related mice homograft tissues. These results suggest the role of the α5-nAChR/ADAM10 signaling pathway in nicotine-induced melanoma progression.

Standardization of ultrasound images across various centers: M2O-DiffGAN bridging the gaps among unpaired multi-domain ultrasound images.

Domain shift problem is commonplace for ultrasound image analysis due to difference imaging setting and diverse medical centers, which lead to poor generalizability of deep learning-based methods. Multi-Source Domain Transformation (MSDT) provides a promising way to tackle the performance degeneration caused by the domain shift, which is more practical and challenging compared to conventional single-source transformation tasks. An effective unsupervised domain combination strategy is highly required to handle multiple domains without annotations. Fidelity and quality of generated images are also important to ensure the accuracy of computer-aided diagnosis. However, existing MSDT approaches underperform in above two areas. In this paper, an efficient domain transformation model named M2O-DiffGAN is introduced to achieve a unified mapping from multiple unlabeled source domains to the target domain. A cycle-consistent "many-to-one" adversarial learning architecture is introduced to model various unlabeled domains jointly. A condition adversarial diffusion process is employed to generate images with high-fidelity, combining an adversarial projector to capture reverse transition probabilities over large step sizes for accelerating sampling. Considering the limited perceptual information of ultrasound images, an ultrasound-specific content loss helps to capture more perceptual features for synthesizing high-quality ultrasound images. Massive comparisons on six clinical datasets covering thyroid, carotid and breast demonstrate the superiority of the M2O-DiffGAN in the performance of bridging the domain gaps and enlarging the generalization of downstream analysis methods compared to state-of-the-art algorithms. It improves the mean MI, Bhattacharyya Coefficient, dice and IoU assessments by 0.390, 0.120, 0.245 and 0.250, presenting promising clinical applications.

Fuzzy Entropy-Assisted Deconvolution Method and Its Application for Bearing Fault Diagnosis.

Vibration signal analysis is an important means for bearing fault diagnosis. Affected by the vibration of other machine parts, external noise and the vibration transmission path, the impulses induced by a bearing defect in the measured vibrations are very weak. Blind deconvolution (BD) methods can counteract the effect of the transmission path and enhance the fault impulses. Most BD methods highlight fault features of the filtered signals by impulse-featured objective functions (OFs). However, residual noise in the filtered signals has not been well tackled. To overcome this problem, a fuzzy entropy-assisted deconvolution (FEAD) method is proposed. First, FEAD takes advantage of the high noise sensitivity of fuzzy entropy (FuzzyEn) and constructs a weighted FuzzyEn-kurtosis OF to enhance the fault impulses while suppressing noise interference. Then, the PSO algorithm is used to iteratively solve the optimal inverse deconvolution filter. Finally, envelope spectrum analysis is performed on the filtered signal to realize bearing fault diagnosis. The feasibility of FEAD was first verified by the bearing fault simulation signals at constant and variable speeds. The bearing test signals from Case Western Reserve University (CWRU), the railway wheelset and the test bench validated the good performance of FEAD in fault feature enhancement. A comparison with and quantitative results for the other state-of-the-art BD methods indicated the superiority of the proposed method.

[Research on Locating Device for the Entry Point of Intramedullary Nail Based on Inertial Navigation].

Objective: To introduce a locating device for the entry point of intramedullary nail based on the inertial navigation technology, which utilizes multi-dimensional angle information to assist in rapid and accurate positioning of the ideal direction of femoral anterograde intramedullary nails' entry point, and to verify its clinical value through clinical tests. Methods: After matching the locating module with the developing board, which are the two components of the locating device, they were placed on the skin surface of the proximal femur of the affected side. Anteroposterior fluoroscopy was performed. The developing angle corresponding to the ideal direction of entry point was selected based on the X-ray image, and then the yaw angle of the locating module was reset to zero. After resetting, the locating module was combined with the surgical instrument to guide the insertion angle of the guide wire. The ideal direction of entry point was accurately located based on the angle guidance. By setting up an experimental group and a control group for clinical surgical operations, the number of guide wire insertion times, surgical time, fluoroscopy frequency, and intraoperative blood loss with or without the locating device was recorded. Results: Compared to the control group, the experimental group showed significant improvement in the number of guide wire insertion times, surgical time, fluoroscopy frequency, and intraoperative blood loss, with a statistically significant difference (P<0.01). Conclusion: The locating device can assist doctors in quickly locating the entry point of intramedullary nail, effectively reducing the fluoroscopy frequency and surgical time by improving the success rate of the guide wire insertion with one shot, improving surgical efficiency, and possessing certain clinical value.

Comparison of the bispectral indices of patients receiving remimazolam and propofol for general anesthesia: a randomized crossover trial.

BACKGROUND: Remimazolam is a safe and effective new benzodiazepine sedative that has unique advantages in anesthesia induction and maintenance. The differences in the electroencephalogram bispectral index (BIS) during general anesthesia between propofol and remimazolam deserve further exploration. METHODS: Single-center randomized crossover study. Patients who required multiple hysteroscopic surgery were randomly assigned to use remimazolam (0.27 mg/kg for induction and 1 mg/kg/h for maintenance) first and then propofol (2.0 mg/kg for induction and 6 mg/kg/h for maintenance) during hysteroscopic surgery again 3 months later, or in the opposite order. Both drugs were used at the latest ED95 for unconsciousness. The BIS values (primary endpoint), intraoperative conditions, and incidence of adverse reactions (secondary endpoints) were compared at each time point. BIS values were analyzed with a mixed model of repeated measurements (MMRM). RESULTS: Seventeen patients completed the study. The lowest BIS value in the remimazolam regimen was significantly higher than that in the propofol regimen (p = 0.001). The MMRM analysis of the BIS values revealed significant differences between the regimens at each time point (p < 0.001). The intraoperative diastolic blood pressure and heart rate changes were smaller, the recovery was faster, and there were fewer adverse reactions and less injection pain, but a greater incidence of intraoperative body movement and hiccups, in the remimazolam regimen. CONCLUSION: The trial indicated that remimazolam maintained a higher BIS level than propofol. The correlation between the BIS and the depth of anesthesia induced by remimazolam needs to be further studied. TRIAL REGISTRATION: This trial is registered at ClinicalTrials.gov: ChiCTR2200064551.

Fault Diagnosis Method for Rolling Bearings Based on Grey Relation Degree.

Aiming at the difficult problem of extracting fault characteristics and the low accuracy of fault diagnosis throughout the full life cycle of rolling bearings, a fault diagnosis method for rolling bearings based on grey relation degree is proposed in this paper. Firstly, the subtraction-average-based optimizer is used to optimize the parameters of the variational mode decomposition algorithm. Secondly, the vibration signals of bearings are decomposed by using the optimized results, and the feature vector of the intrinsic mode function component corresponding to the minimum envelope entropy is extracted. Finally, the grey proximity and similarity relation degree based on standard distance entropy are weighted to calculate the grey comprehensive relation degree between the feature vector of vibration signals and each standard state. By comparing the results, the diagnosis of different fault states and degrees of rolling bearings is realized. The XJTU-SY dataset was used for experimentation, and the results show that the proposed method achieves a diagnostic accuracy of 95.24% and has better diagnosis performance compared to various algorithms. It provides a reference for the fault diagnosis of rolling bearings throughout the full life cycle.

Single-incision laparoscopic transabdominal preperitoneal repair in the treatment of adult female patients with inguinal hernia.

BACKGROUND: Women have a 3% lifetime chance of developing an inguinal hernia, which is not as common in men. Due to its cosmetic benefits, single-incision laparoscopic transabdominal preperitoneal (SIL-TAPP) inguinal hernia repair is becoming increasingly popular in the management of inguinal hernia in women. However, there are no studies comparing the safety and applicability of SIL-TAPP repair with conventional laparoscopic transabdominal preperitoneal (CL-TAPP) inguinal hernia repair for the treatment of inguinal hernia in women. AIM: To compare the outcomes of SIL-TAPP and CL-TAPP repair in adult female patients with inguinal hernia and to estimate the safety and applicability of SIL-TAPP repair in adult female inguinal hernia patients. METHODS: We retrospectively compared the clinical information and follow-up data of female inguinal hernia patients who underwent SIL-TAPP inguinal hernia repair and those who underwent CL-TAPP inguinal hernia repair at the Affiliated Hospital of Nantong University from February 2018 to December 2020 and assessed the long-term and short-term outcomes of both cohorts. RESULTS: This study included 123 patients, with 71 undergoing SIL-TAPP repair and 52 undergoing CL-TAPP repair. The two cohorts of patients and inguinal hernia characteristics were similar, with no statistically meaningful difference. The rate of intraoperative inferior epigastric vessel injury was lower in patients in the SIL-TAPP cohort (0, 0%) than in patients in the CL-TAPP cohort (4, 7.7%) and was significantly different (P < 0.05). In addition, the median [interquartile range (IQR)] total hospitalization costs were significantly lower in patients in the SIL-TAPP cohort [$3287 (3218-3325)] than in patients in the CL-TAPP cohort [$3511 (3491-3599)]. Postoperatively, the occurrence rate of trocar site hernia was lower in the SIL-TAPP cohort (0, 0%) than in the CL-TAPP cohort (4, 7.7%), and the median (IQR) cosmetic score was significantly higher in the SIL-TAPP cohort [10 (10-10)] than in the CL-TAPP cohort [9 (9-10)]. CONCLUSION: SIL-TAPP repair did not increase the incidence of intraoperative and postoperative complications in female inguinal hernia patients. Moreover, female inguinal hernia patients who underwent SIL-TAPP repair had a lower probability of trocar site hernia and inferior epigastric vessel injury than female inguinal hernia patients who underwent CL-TAPP repair. In addition, female inguinal hernia patients who underwent SIL-TAPP repair reported a more aesthetically pleasing postoperative abdominal incision. Therefore, SIL-TAPP repair is a better option for the treatment of inguinal hernias in women.

Total Glucosides of Paeony Induce Mitochondrial Dysfunction and Apoptosis by Promoting the Degradation of α5-nAChR in Melanoma Cells.

BACKGROUND: Malignant melanoma is the leading cause of skin cancer-related death, with high malignancy and rapid progression. Total glucosides of paeony (TGP) are extracted from the roots of Paeonia Lactiflora Pall and are widely used in the treatment of chronic hepatitis, rheumatoid arthritis, and adjuvant therapy of tumor chemotherapy. METHODS: In the present research, M14 and A375 cells were treated with TGP. CCK8, transwell and western blotting were performed to analyze the effect of TGP on cell function. RESULTS: TGP treatment impeded the proliferation and migration and activated the apoptosis pathway in melanoma cells. Importantly, TGP induced the degradation of α5-nAChR. Overexpression of α5-nAChR inhibited the anti-cancer effect of TGP. In addition, TGP treatment released cytochrome c from mitochondria into the cytoplasm, inducing mitochondrial dysfunction in melanoma cells. TGP also inhibited the phosphorylation of P38-MAPK, and P38-MAPK inhibitor reduced the promoting effect of α5-nAChR in cell proliferation and migration. CONCLUSION: TGP inhibited cell viability and migration and induced mitochondrial dysfunction and apoptosis by promoting the degradation of α5-nAChR in melanoma cells. This research provided a potential therapeutic anti-cancer drug for treatment strategies of melanoma.

Utilization of cannulated screw fixation of Jail and TiRobot-assisted percutaneous indirect reduction technique for AO/OTA type 41B2 tibial plateau fracture treatment.

PURPOSE: The present study was designed to investigate the precise procedure and effectiveness of percutaneous minimally invasive fixation assisted by TiRobot in managing AO/OTA type 41B2 tibial plateau fracture to provide an alternative solution for clinical application. METHODS: In total, 10 participants with AO/OTA type 41B2 tibial plateau fractures diagnosed by preoperative imaging examinations were enrolled in this study between May 2019 and May 2022. They were 5 males and 5 females, with an average age of 45.6 ± 11.3 years old (range 27-62 years old). All of them had closed fractures, including 6 cases with anterior cruciate ligament (ACL) tibial insertion avulsion fractures, 1 case with medial collateral ligament (MCL) tear, and 4 cases with a lateral meniscus tear. From injury through surgery, the entire time frame was 4.0 ± 1.5 days (range, 2-7 days). Following indirect percutaneous reduction assisted by TiRobot, the Jail method was used to treat all patients with minimally invasive internal fixation. Patients with ligament or meniscus injurieswere treated with arthroscopic surgery in one stage. The standardized functional exercise was performed postoperatively. The knee function was measured using the Hospital for Special Surgery (HSS) score, and the fracture reduction was assessed through the Rasmussen radiology score. RESULTS: All patients were followed up for 12.7 ± 6.8 months (6-24 months).The fracture healing time was 11.8 ± 0.8 weeks (10-13 weeks), and the X-rays revealed satisfactory fracture reduction.The knee joint's Rasmussen score was 17.8 ± 0.4 (in the range of 17-18) a year after the procedure, with 8 patients receiving outstanding ratings and 2 cases receiving satisfactory scores. The HSS score was 93.8 ± 2.3 (range, 89 to 96), of which 10 cases were excellent. The motion range of the kneewas 138.7°±2.7° (range, -5° to 0° to 135°). No adverse effects or serious complications, such as internal fixation failure, postoperative infection, popliteal vascular injury, and common peroneal nerve injury, were observed during the last follow-up visit. CONCLUSIONS: The intelligent assistance and accurate guidance of TiRobot can simplify and standardize procedures of percutaneous minimally invasive fixation in theSchatzker type Ⅲ tibial plateau fracture treatment. This technique increases the precision of indirect percutaneous reduction and screw fixation while minimizing bone grafting.

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings.

Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomoses to restore a physiological blood exchange among twins. The procedure is particularly challenging, from the surgeon's side, due to the limited field of view, poor manoeuvrability of the fetoscope, poor visibility due to amniotic fluid turbidity, and variability in illumination. These challenges may lead to increased surgery time and incomplete ablation of pathological anastomoses, resulting in persistent TTTS. Computer-assisted intervention (CAI) can provide TTTS surgeons with decision support and context awareness by identifying key structures in the scene and expanding the fetoscopic field of view through video mosaicking. Research in this domain has been hampered by the lack of high-quality data to design, develop and test CAI algorithms. Through the Fetoscopic Placental Vessel Segmentation and Registration (FetReg2021) challenge, which was organized as part of the MICCAI2021 Endoscopic Vision (EndoVis) challenge, we released the first large-scale multi-center TTTS dataset for the development of generalized and robust semantic segmentation and video mosaicking algorithms with a focus on creating drift-free mosaics from long duration fetoscopy videos. For this challenge, we released a dataset of 2060 images, pixel-annotated for vessels, tool, fetus and background classes, from 18 in-vivo TTTS fetoscopy procedures and 18 short video clips of an average length of 411 frames for developing placental scene segmentation and frame registration for mosaicking techniques. Seven teams participated in this challenge and their model performance was assessed on an unseen test dataset of 658 pixel-annotated images from 6 fetoscopic procedures and 6 short clips. For the segmentation task, overall baseline performed was the top performing (aggregated mIoU of 0.6763) and was the best on the vessel class (mIoU of 0.5817) while team RREB was the best on the tool (mIoU of 0.6335) and fetus (mIoU of 0.5178) classes. For the registration task, overall the baseline performed better than team SANO with an overall mean 5-frame SSIM of 0.9348. Qualitatively, it was observed that team SANO performed better in planar scenarios, while baseline was better in non-planner scenarios. The detailed analysis showed that no single team outperformed on all 6 test fetoscopic videos. The challenge provided an opportunity to create generalized solutions for fetoscopic scene understanding and mosaicking. In this paper, we present the findings of the FetReg2021 challenge, alongside reporting a detailed literature review for CAI in TTTS fetoscopy. Through this challenge, its analysis and the release of multi-center fetoscopic data, we provide a benchmark for future research in this field.

Challenges of fully online learning for dermatology education: a retrospective study.

Background: Blended learning has proven to be an effective teaching strategy. During the COVID-19 pandemic in 2019, educational institutions worldwide switched to online learning. However, there is limited research on the effectiveness of blended learning and fully online learning. This study aims to evaluate and compare whether pure online learning is as effective as traditional blended learning by taking the example of dermatology education. Methods: The researchers compared traditional blended learning and fully online learning by evaluating the achievement scores of undergraduate students in a dermatology course in the academic years 2019 and 2020, respectively, at the Shandong First Medical University, China. In 2019, students undertook small private online courses (SPOCs) combined with face-to-face teacher-led learning. In 2020, live teacher-led learning replaced face-to-face teacher-led learning. The researchers also conducted a questionnaire survey in 2020. Results: The scores of students in 2019 were significantly higher than in 2020 (p = 0.002). There was no significant difference in the distribution of achievement variance in the scores between the two academic years. In the questionnaire survey, the majority of the students rated highly the fully online education mode and responded that pure online learning enhanced their self-study ability. Conclusion: The present study shows that fully online learning currently does not perform as well as traditional blended learning in terms of examination scores due to some limitations. However, pure online education has several advantages over traditional blended education. Online courses should be improved to ignite students' interest and increase their learning efficiency.

Layered energy-saving speed planning and control method for electric vehicle on continuous signal lights road.

Emergency start-stop in front of signal lights is one of the main reasons for additional energy consumption and ride discomfort of Electric Vehicle (EV). Existing research on this issue rarely takes into account both energy consumption and ride comfort. Therefore, the layered energy-saving speed planning and control method is proposed. The upper is the layer of energy-saving speed planning. This layer reduces energy consumption of EV by reducing the number of stops on continuous signal lights road and minimizing the range of speed change. On this basis, the sinusoidal variable speed curve is used to smooth the acceleration process to improve ride comfort. Finally, the energy-saving speed considering ride comfort is obtained. This layer makes up for the issue that existing research rarely takes into account both energy consumption and ride comfort of EV, and is an extension and innovation of existing research. The lower is the layer of Model Predictive Controller (MPC)-based speed control. Based on the longitudinal dynamics model of EV, the MPC-based speed controller is established to control EV to track the energy-saving speed. The controller is easy to understand and implement, and it is also suitable for other research on EV, which has certain application value. The simulation results show that under various working conditions, the maximum energy consumption of EV passing through continuous signal lights road without stopping is 604.29 kJ/km, and the minimum is 244.76 kJ/km. The energy consumption is lower than that of actual road test, and it can be saved by 23.18 % compared with the method in the same field. The maximum Root Mean Square of accelerations (RMSa) is 0.25 m/s2, and the minimum is 0.10 m/s2. The values of RMSa above are lower than 0.315 m/s2, which indicates that the ride comfort is good. The utilized method can reduce energy consumption of EV, improve its range and ride comfort, which has important reference significance for promoting the development of EV.

Accuracy of Fasting Blood Glucose and Body Mass Index in Predicting Gestational Diabetes Mellitus in China.

BACKGROUND: Research suggests that lowering maternal morbidities associated with gestational diabetes mellitus (GDM) can be achieved with earlier risk group identification. AIMS: Therefore, the purpose of this study was to examine potential markers for identifying first-trimester pregnant women who are at high risk for developing GDM. METHODS: This was a retrospective cohort study. The pertinent maternal clinical data were retrieved prior to 13+6 weeks of gestation, and a binary logistic regression analysis was used to identify potential GDM predictors. The predictive accuracy was evaluated using the area below the receiver operating characteristics curves. RESULTS: In comparison to the control group, the GDM group had significantly higher mean values for age, body mass index (BMI), mean fasting blood glucose (FBG), and hemoglobin (p < 0.05). The Pearson's correlation coefficients indicated that the first-trimester FBG was significantly positively correlated with the second-trimester FBG. Higher FBG and BMI values were associated with an increased risk of developing GDM (odds ratio [OR] = 3.04, 95% confidence interval [CI] = 2.03-4.55 and OR = 1.18, 95% CI = 1.12-1.25). In terms of predicting GDM, the FBG parameter demonstrated the greatest area under the curve values (0.66), followed by the BMI parameter (0.69). For GDM prediction, the cut-off value for FBG was 4.32 mM, whereas that for BMI was 23.7 kg/m2. CONCLUSIONS: The first-trimester FBG and BMI could be utilized to predict gestational diabetes.

Inhibition of Key Glycolytic Enzyme Hexokinase 2 Ameliorates Psoriasiform Inflammation in vitro and in vivo.

Purpose: Epidermal keratinocytes with an abnormal glucose metabolism have been identified in psoriasis. Hexokinase 2 (HK2) is a crucial enzyme involved in glycolytic metabolic pathways. However, the expression of HK2 and its potential therapeutic effects in psoriasis remains unclear. This study aimed to investigate the expression pattern of HK2 and evaluate its therapeutic effects in psoriasis. Patients and Methods: A gene expression dataset (GSE121212) downloaded from the Gene Expression Omnibus (GEO) database was used to examine the expression of HK2 in psoriasis. HK2 RNA and protein expression were investigated in psoriasis vulgaris (n=5) and healthy (n=5) samples. Immunohistochemistry for HK2 was performed on psoriasis vulgaris (n=22) and healthy skin (n=10) samples. Additionally, HaCaT cells were treated with M5 (interleukin [IL]-17A, tumor necrosis factor-α, IL-1α, IL-22, and Oncostatin-M) to induce a psoriatic inflammation cell model. A mouse model of psoriatic inflammation was established using topical 5% imiquimod cream. Psoriasis-like cells and mouse models were treated with the HK2 inhibitor 3-bromopyruvate (3-BrPA). Cell proliferation, glucose consumption, and lactate production were assessed. Furthermore, the activation of nuclear factor-kappa B (NF-Kb) and NOD-like receptor thermal protein domain associated protein 3 (NLRP3) was investigated using Western blot analysis. Results: According to the GEO dataset, HK2 expression was significantly elevated in psoriasis. Upregulation of HK2 in psoriatic tissues was confirmed by quantitative real-time polymerase chain reaction and Western blotting. The immunohistochemistry score for HK2 was higher in psoriatic lesions than in healthy skin. 3-BrPA inhibited the proliferation and glycolysis of M5-stimulated HaCaT cells. Topical 3-BrPA ameliorated imiquimod-induced psoriasis-like dermatitis. Activation of NF-kB and NLRP3 was downregulated by 3-BrPA treatment. Conclusion: Our study revealed that the glycolytic enzyme HK2 was upregulated in psoriasis and that the HK2 inhibitor 3-BrPA exhibited therapeutic effects in psoriasis cell and mouse models.

Integrated Transcriptomic and Metabolomic Analysis Reveals the Mechanism of Gibberellic acid Regulates the Growth and Flavonoid Synthesis in Phellodendron chinense Schneid Seedlings.

The phytohormone gibberellic acids (GAs) play a crucial role in the processes of growth, organ development, and secondary metabolism. However, the mechanism of exogenous GA3 regulating the growth and flavonoid synthesis in Phellodendron chinense Schneid (P. chinense Schneid) seedlings remains unclear. In this study, the physicochemical properties, gene expression level, and secondary metabolite of P. chinense Schneid seedlings under GA3 treatment were investigated. The results showed that GA3 significantly improved the plant height, ground diameter, fresh weight, chlorophyll content, soluble substance content, superoxide dismutase, and peroxidase activities. This was accompanied by elevated relative expression levels of Pc(S)-GA2ox, Pc(S)-DELLA, Pc(S)-SAUR50, Pc(S)-PsaD, Pc(S)-Psb 27, Pc(S)-PGK, Pc(S)-CER3, and Pc(S)-FBA unigenes. Conversely, a notable reduction was observed in the carotenoid content, catalase activity and the relative expression abundances of Pc(S)-KAO, Pc(S)-GID1/2, and Pc(S)-GH 3.6 unigenes in leaves of P. chinense Schneid seedlings (p < 0.05). Furthermore, GA3 evidently decreased the contents of pinocembrin, pinobanksin, isosakuranetin, naringin, naringenin, (-)-epicatechin, tricetin, luteolin, and vitexin belonged to flavonoid in stem bark of P. chinense Schneid seedlings (p < 0.05). These results indicated that exogenous GA3 promoted growth through improving chlorophyll content and gene expression in photosynthesis and phytohormone signal pathway and inhibited flavonoid synthesis in P. chinense Schneid seedlings.