Comparison of perioperative and oncologic outcomes after open, laparoscopic, and robotic distal pancreatectomy: a single-center retrospective study

As minimally invasive surgery gains grounds, surgeons are switching more towards laparoscopic distal pancreatectomy (LDP) and robotic distal pancreatectomy (RDP) as opposed to open distal pancreatectomy (ODP). Through this study, we aimed at exploring the differences in perioperative and oncologic outcomes among the three surgical methods. We retrospectively collected data from 303 patients who underwent distal pancreatectomy (DP) at a single high-volume institution between June 2015 and December 2021. We equally compared the perioperative and oncologic outcomes in patients who underwent ODP, LDP, and RDP by analyzing clinicopathologic and survival data. We consecutively included 303 cases in the study: open = 147 (48.5%), laparoscopic = 50 (16.5%), and robotic = 106 (35.0%). The median tumor size was significantly larger in the ODP group (P < 0.001) compared to the others. Cases in the RDP group experienced a longer duration of surgery (P < 0.001), smaller amount of blood loss (P < 0.001), smaller amount of blood transfusion (P = 0.042), and a shorter duration of hospital stay (p = 0.040) compared to cases in the ODP group. There was no significant difference observed when comparing other postoperative outcomes across the groups. Overall survival (OS) and progression-free survival (PFS) were similar across the significant differences among the three groups. The short-term postoperative and oncologic outcomes observed in the RDP and LDP groups were not inferior to those in the ODP group. The RDP has some perioperative advantages over the ODP. Therefore, RDP and LDP can safely and feasibly be performed in selected pancreatic tumors by experienced pancreatic surgeons.

Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates

High-efficient heat dissipation plays critical role for high-power-density electronics. Experimental synthesis of ultrahigh thermal conductivity boron arsenide (BAs, 1300 W m-1K-1) cooling substrates into the wide-bandgap semiconductor of gallium nitride (GaN) devices has been realized. However, the lack of systematic analysis on the heat transfer across the GaN-BAs interface hampers the practical applications. In this study, by constructing the accurate and high-efficient machine learning interatomic potentials, we perform multiscale simulations of the GaN-BAs heterostructures. Ultrahigh interfacial thermal conductance of 260 MW m-2K-1 is achieved, which lies in the well-matched lattice vibrations of BAs and GaN. The strong temperature dependence of interfacial thermal conductance is found between 300 to 450 K. Moreover, the competition between grain size and boundary resistance is revealed with size increasing from 1 nm to 1000 μm. Such deep-potential equipped multiscale simulations not only promote the practical applications of BAs cooling substrates in electronics, but also offer approach for designing advanced thermal management systems.

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Traditional Chinese medicine (TCM) is the practical experience and summary of the Chinese nation for thousands of years. It shows great potential in treating various chronic diseases, complex diseases and major infectious diseases, and has gradually attracted the attention of people all over the world. However, due to the complexity of prescription and action mechanism of TCM, the development of TCM industry is still in a relatively conservative stage. With the rise of artificial intelligence technology in various fields, many scholars began to apply artificial intelligence technology to traditional Chinese medicine industry and made remarkable progress. This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various aspects, including new drug discovery, data mining, quality standardization and industry technology of traditional Chinese medicine. The limitations of artificial intelligence in these applications are also emphasized, including the lack of pharmacological research, database quality problems and the challenges brought by human-computer interaction. Nevertheless, the development of artificial intelligence has brought new opportunities and innovations to the modernization of traditional Chinese medicine. Integrating artificial intelligence technology into the comprehensive application of Chinese medicine industry is expected to overcome the major problems faced by traditional Chinese medicine industry and further promote the modernization of the whole traditional Chinese medicine industry.

Evaluation of anterior chamber morphology following scleral buckling with Pentacam

PURPOSE

To evaluate anterior segment parameter changes following scleral buckling (SB) surgery for rhegmatogenous retinal detachment (RRD) using the Pentacam Scheimpflug system.

METHODS

Twenty-eight phakic eyes of 28 patients who underwent SB surgery for RDD were included. The anterior chamber volume (ACV), central anterior chamber depth (CACD), mean anterior chamber angle (ACA) and ACA in a specific position (buckle quadrant), and central corneal thickness (CCT) were evaluated preoperatively and at 1 day, 1 week, and 1 and 3 months postoperatively by an anterior Pentacam Scheimpflug method.

RESULTS

The ACV parameters were significantly decreased compared with preoperative levels at 1 day after SB surgery (P = 0.0004), but had no significant differences at 1 week, and 1 and 3 months (P > 0.05). The mean intraocular pressure (IOP) at 1 day was significantly higher than the preoperative level, but no subsequent significant difference was noted between the preoperative IOP and that at 1 week and 1 and 3 months postoperatively (P > 0.05). The CCT at 1 day after surgery increased significantly (P = 0.0122) and subsequently returned to the normal level postoperatively at 1 week and remained stable until 3 months (P > 0.05). The degree of postoperative ACA displayed different changes in the different quadrants and there was a significant increase in the ACA of the buckle quadrants at 1 day (P < 0.0001), 1 week (P = 0.02), and 1 month (P = 0.0266) after surgery, returning to the normal level at 3 months.

CONCLUSIONS

The changes of anterior chamber parameters after SB can be demonstrated by Pentacam both objectively and quantitatively. The ACV and CCT changes were mild and resumed their preoperative parameters after 1 week, while the increase of the ACA at the buckle quadrant returned to normal after 3 months. SB surgeries without encircling or conducted with radial buckling might decrease anterior chamber change.

Metabolomics of Extracellular Vesicles: A Future Promise of Multiple Clinical Applications

Extracellular vesicles (EVs) can contain DNA, RNA, proteins and metabolic molecules from primary origins; they are coated with a phospholipid bilayer membrane and released by cells into the extracellular matrix. EVs can be obtained from various body liquids, including the blood, saliva, cerebrospinal fluid, and urine. As has been proved, EVs-mediated transfer of biologically active molecules is crucial for various physiological and pathological processes. Extensive investigations have already begun to explore the diagnosis and prognosis potentials for EVs. Furthermore, research has continued to recognize the critical role of nucleic acids and proteins in EVs. However, our understanding of the comprehensive effects of metabolites in these nanoparticles is currently limited and in its infancy. Therefore, we have attempted to summarize the recent research into the metabolomics of EVs in relation to potential clinical applications and discuss the problems and challenges that have occurred, to provide more guidance for the future development in this field.

Identification of a novel gene signature of lung adenocarcinoma based on epidermal growth factor receptor-tyrosine kinase inhibitor resistance

INTRODUCTION

Tyrosine kinase inhibitors (TKIs) that target epidermal growth factor receptor (EGFR) mutations are commonly administered to EGFR-positive lung cancer patients. However, resistance to EGFR-TKIs (mostly gefitinib and erlotinib) is presently a significant problem. Limited studies have focused on an EGFR-TKI resistance-related gene signature (ERS) in lung adenocarcinoma (LUAD).

METHODS

Gefitinib and erlotinib resistance-related genes were obtained through the differential analyses of three Gene Expression Omnibus datasets. These genes were investigated further in LUAD patients from The Cancer Genome Atlas (TCGA). Patients in the TCGA-LUAD cohort were split into two groups: one for training and one for testing. The training cohort was used to build the ERS, and the testing cohort was used to test it. GO and KEGG analyses were explored for the enriched pathways between the high-risk and low-risk groups. Various software, mainly CIBERSORT and ssGSEA, were used for immune infiltration profiles. Somatic mutation and drug sensitivity analyses were also explored.

RESULTS

An ERS based on five genes (FGD3, PCDH7, DEPDC1B, SATB2, and S100P) was constructed and validated using the TCGA-LUAD cohort, resulting in the significant stratification of LUAD patients into high-risk and low-risk groups. Multivariable Cox analyses confirmed that ERS had an independent prognostic value in LUAD. The pathway enrichment analyses showed that most of the genes that were different between the two risk groups were related to the immune system. Further immune infiltration results revealed that a lower immune infiltration score was observed in high-risk patients, and that various leukocytes were significantly related to the ERS. Importantly, samples from the high-risk group showed lower levels of PD-1, PD-L1, and CTLA-4, which are important biomarkers for immunotherapy responses. Patients in the high-risk group also had more gene mutation changes and were more sensitive to chemotherapy drugs like docetaxel and sorafenib. The ERS was also validated in the GSE30219, GSE11969 and GSE72094, and showed a favorable prognostic value for LUAD patients.

DISCUSSION

The ERS established during this study was able to predict a poor prognosis for LUAD patients and had great potential for predicting drug responses.

Analysis of the Failure of Removal of the Urinary Catheter for Patients With Intracerebral Hemorrhage Postoperatively

BACKGROUND

We conducted this study to assess the value of clinically relevant data for predicting the failure of removing urinary catheters among patients with intracerebral hemorrhage postoperatively.

MATERIALS AND METHODS

We retrospectively analyzed the medical records of all patients with intracerebral hemorrhage who underwent surgery for removal of intracerebral hematoma between January 2014 and December 2019, all of whom retained their urinary catheter. The patients were classified into 2 groups. Group A included patients who underwent successful removal of the catheter while group B included patients who underwent a failed removal. Univariate analysis was performed to determine the relationship between the failure of catheter removal and the patients' preoperative clinical characteristics. Independent prognostic predictors were identified using multivariate analyses.

RESULTS

The site of intracerebral hematoma ( P =0.004), volume of hematoma ( P <0.001), intraventricular hemorrhage ( P <0.001), admitted Glasgow Coma Scale (GCS) ( P <0.001), GCS before urinary catheter removal ( P <0.001), smoking ( P =0.011), herniation ( P <0.001), urine protein ( P =0.013), creatinine ( P =0.037), and timing of urinary catheter removal ( P <0.001) were significantly different among the 2 groups. Multiple logistical regression analysis indicated that GCS before urinary catheter removal (odds ratio=1.171; 95% confidence interval=1.050-1.306; P =0.005) and timing for urinary catheter removal (odds ratio=0.962; 95% confidence interval=0.944-0.981; P <0.001) were associated with failure of urinary catheter removal.

CONCLUSIONS

This study demonstrated that GCS before urinary catheter removal and the timing of urinary catheter removal are independent factors associated with failure of urinary catheter removal among patients with intracerebral hemorrhage.

Exploration of a Novel Circadian miRNA Pair Signature for Predicting Prognosis of Lung Adenocarcinoma

Lung adenocarcinoma (LUAD) is the primary histological subtype of lung cancer with a markedly heterogeneous prognosis. Therefore, there is an urgent need to identify optimal prognostic biomarkers. We aimed to explore the value of the circadian miRNA (cmiRNA) pair in predicting prognosis and guiding the treatment of LUAD. We first retrieved circadian genes (Cgenes) from the CGDB database, based on which cmiRNAs were predicted using the miRDB and mirDIP databases. The sequencing data of Cgenes and cmiRNAs were retrieved from TCGA and GEO databases. Two random cmiRNAs were matched to a single cmiRNA pair. Finally, univariate Cox proportional hazard analysis, LASSO regression, and multivariate Cox proportional hazard analysis were performed to develop a prognostic signature consisting of seven cmiRNA pairs. The signature exhibited good performance in predicting the overall and progression-free survival. Patients in the high-risk group also showed lower IC50 values for several common chemotherapy and targeted medicines. In addition, we constructed a cmiRNA–Cgenes network and performed a corresponding Gene Ontology and Gene Set enrichment analysis. In conclusion, the novel circadian-related miRNA pair signature could provide a precise prognostic evaluation with the potential capacity to guide individualized treatment regimens for LUAD.

Electrically-driven robust tuning of lattice thermal conductivity

The two-dimensional (2D) materials, represented by graphene, stand out in the electrical industry applications of the future and have been widely studied. As commonly existing in electronic devices, the electric field has been extensively utilized to modulate the performance. However, how the electric field regulates thermal transport is rarely studied. Herein, we investigate the modulation of thermal transport properties by applying an external electric field ranging from 0 to 0.4 V Å^-1, with bilayer graphene, monolayer silicene, and germanene as study cases. The monotonically decreasing trend of thermal conductivity in all three materials is revealed. A significant effect on the scattering rate is found to be responsible for the decreased thermal conductivity driven by the electric field. Further evidence shows that the reconstruction of internal electric field and generation of induced charges lead to increased scattering rate from strong phonon anharmonicity. Thus, the ultralow thermal conductivity emerges with the application of external electric fields. Applying an external electric field to regulate thermal conductivity illustrates a constructive idea for highly efficient thermal management.

Study on Instant Delivery Service Riders' Safety and Health by the Effects of Labour Intensity in China: A Mediation Analysis

The Instant Delivery Service (IDS) riders' overwork by “self-pressurisation” will not only reduce the level of their physical and mental health but also lose their lives in safety accidents caused by their fatigue riding. The purpose of this article is to examine whether there is overwork among IDS riders in big and medium cities in China? What's going on with them? Based on the Cobb-Douglas production function in the input-output theory, this study characterised the factors on IDS riders' safety and health associated with labour intensity. A mediating model with moderating effect was adopted to describe the mediation path for the 2,742 IDS riders who were surveyed. The results of moderating regression demonstrated that (1) 0.4655 is the total effect of labour intensity on the safety and health of IDS riders. (2) 0.3124 is the moderating effect that working hours make a greater impact on labour intensity. (3) The mediating effect of work pressure is the principal means of mediation both upstream and downstream.

Accessing negative Poisson's ratio of graphene by machine learning interatomic potentials

The negative Poisson's ratio (NPR) is a novel property of materials, which enhances the mechanical feature and creates a wide range of application prospects in lots of fields, such as aerospace, electronics, medicine, etc. Fundamental understanding on the mechanism underlying NPR plays an important role in designing advanced mechanical functional materials. However, with different methods used, the origin of NPR is found different and conflicting with each other, for instance, in the representative graphene. In this study, based on machine learning technique, we constructed a moment tensor potential for molecular dynamics (MD) simulations of graphene. By analyzing the evolution of key geometries, the increase of bond angle is found to be responsible for the NPR of graphene instead of bond length. The results on the origin of NPR are well consistent with the start-of-art first-principles, which amend the results from MD simulations using classic empirical potentials. Our study facilitates the understanding on the origin of NPR of graphene and paves the way to improve the accuracy of MD simulations being comparable to first-principle calculations. Our study would also promote the applications of machine learning interatomic potentials in multiscale simulations of functional materials.

Targeting Cancer Cell Ferroptosis to Reverse Immune Checkpoint Inhibitor Therapy Resistance

In recent years, cancer therapies using immune checkpoint inhibitors (ICIs) have achieved meaningful success, with patients with advanced tumors presenting longer survival times and better quality of life. However, several patients still do not exhibit good clinical outcomes for ICI therapy due to low sensitivity. To solve this, researchers have focused on identifying the cellular and molecular mechanisms underlying resistance to ICI therapy. ICI therapy induces apoptosis, which is the most frequent regulated cell death (RCD) but lacks immunogenicity and is regarded as an “immune silent” cell death. Ferroptosis, a unique type of non-apoptotic-RCD, has been preliminarily identified as an immunogenic cell death (ICD), stimulating tumor-antigen-specific immune responses and augmenting anti-tumor immune effects. However, ferroptosis has rarely been used in clinical practice. Present evidence strongly supports that the interferon-γ signaling pathway is at the crossroads of ICI therapy and ferroptosis. TYRO3, a receptor tyrosine kinase, is highly expressed in tumors and can induce anti-programmed cell death (PD)-ligand 1/PD-1 therapy resistance by limiting tumoral ferroptosis. Therefore, in this review, we summarize the clinical practice and effects of ICI therapy in various cancers. We also provide an overview of ferroptosis and report the molecular connections between cancer cell ferroptosis and ICI therapy, and discuss the possibility to reverse ICI therapy resistance by inducing cancer cell ferroptosis.

AI-Model for Identifying Pathologic Myopia Based on Deep Learning Algorithms of Myopic Maculopathy Classification and "Plus" Lesion Detection in Fundus Images

Background: Pathologic myopia (PM) associated with myopic maculopathy (MM) and “Plus” lesions is a major cause of irreversible visual impairment worldwide. Therefore, we aimed to develop a series of deep learning algorithms and artificial intelligence (AI)–models for automatic PM identification, MM classification, and “Plus” lesion detection based on retinal fundus images.

Materials and Methods: Consecutive 37,659 retinal fundus images from 32,419 patients were collected. After excluding 5,649 ungradable images, a total dataset of 32,010 color retinal fundus images was manually graded for training and cross-validation according to the META-PM classification. We also retrospectively recruited 1,000 images from 732 patients from the three other hospitals in Zhejiang Province, serving as the external validation dataset. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, and quadratic-weighted kappa score were calculated to evaluate the classification algorithms. The precision, recall, and F1-score were calculated to evaluate the object detection algorithms. The performance of all the algorithms was compared with the experts’ performance. To better understand the algorithms and clarify the direction of optimization, misclassification and visualization heatmap analyses were performed.

Results: In five-fold cross-validation, algorithm I achieved robust performance, with accuracy = 97.36% (95% CI: 0.9697, 0.9775), AUC = 0.995 (95% CI: 0.9933, 0.9967), sensitivity = 93.92% (95% CI: 0.9333, 0.9451), and specificity = 98.19% (95% CI: 0.9787, 0.9852). The macro-AUC, accuracy, and quadratic-weighted kappa were 0.979, 96.74% (95% CI: 0.963, 0.9718), and 0.988 (95% CI: 0.986, 0.990) for algorithm II. Algorithm III achieved an accuracy of 0.9703 to 0.9941 for classifying the “Plus” lesions and an F1-score of 0.6855 to 0.8890 for detecting and localizing lesions. The performance metrics in external validation dataset were comparable to those of the experts and were slightly inferior to those of cross-validation.

Conclusion: Our algorithms and AI-models were confirmed to achieve robust performance in real-world conditions. The application of our algorithms and AI-models has promise for facilitating clinical diagnosis and healthcare screening for PM on a large scale.

Unique Arrangement of Atoms Leads to Low Thermal Conductivity: A Comparative Study of Monolayer Mg2C

Two-dimensional Mg₂C, one of the typical representative MXene materials, is attracting lots of attention due to its outstanding properties. In this study, we find the thermal conductivity of monolayer Mg₂C is more than 2 orders of magnitude lower than graphene and is even lower than MoS₂ despite the relatively lighter atoms of Mg and C. Based on the comparative analysis with graphene, silicene, and MoS₂, the underlying mechanism is found lying in the unique arrangement of atoms (lighter atoms in the middle plane) and large electronegativity difference in Mg₂C. The phonon anharmonicity is strong due to the resonant bonding. In addition, dual band gaps emerge in the phonon dispersion of Mg₂C, which limit the phonon-phonon scattering and reduce the phonon relaxation time. This study reveals a new mechanism responsible for low thermal conductivity, which would be helpful for designing thermal functional materials and pave the way for applications in thermoelectrics.

Shared Cultural Values Influence Mental Health Help-Seeking Behaviors in Asian and Latinx College Students

The current study sought to understand the influence of cultural values on mental health attitudes and help-seeking behaviors in college students of diverse ethnic backgrounds. Asian and Latinx college students (N = 159) completed an online survey in which they reported on their adherence to cultural values as measured by ethnicity-specific cultural values and general attitudes towards mental health. Factor analysis revealed two common factors of cultural values irrespective of ethnicity: Interdependent Orientation (IO) and Cultural Obligation (CO). Regardless of ethnicity, the more students endorsed IO values, the less likely they were to perceive a need for mental health treatment. IO value adherence was also predictive of more negative attitudes towards mental health. CO values were not predictive of perceived need or help-seeking behaviors. Findings highlight the importance of understanding shared cultural values across ethnic-racial groups and considering how the multidimensionality of culture may help explain shared mental health behaviors crossing lines of ethnic group membership.

Analyzing fundus images to detect diabetic retinopathy (DR) using deep learning system in the Yangtze River delta region of China

Background

This study aimed to establish and evaluate an artificial intelligence-based deep learning system (DLS) for automatic detection of diabetic retinopathy. This could be important in developing an advanced tele-screening system for diabetic retinopathy.

Methods

A DLS with a convolutional neural network was developed to recognize fundus images of referable diabetic retinopathy. A total data set of 41,866 color fundus images were obtained from 17 cities in the Yangtze River Delta Urban Agglomeration (YRDUA). Five experienced retinal specialists and 15 ophthalmologists were recruited to verify images. For training, 80% of the data set was used, and the other 20% served as the validation data set. To effectively understand the learning process, the DLS automatically superimposed a heatmap on the original image. The regions utilized by the DLS were highlighted for diagnosis.

Results

Using the local validation data set, the DLS achieved an area under the curve of 0.9824. Based on the manual screening criteria, an operating point was set at about 0.9 sensitivity to evaluate the DLS. Specificity was recorded at 0.9609 and sensitivity was 0.9003. The DLSs showed excellent reliability, repeatability, and high efficiency. After analyzing the misclassification, it was found that 88.6% of the false-positives were mild non-proliferative diabetic retinopathy (NPDR) whereas, 81.6% of the false-negatives were intraretinal microvascular abnormalities.

Conclusions

The DLS efficiently detected fundus images from complex sources in the real world. Incorporating DLS technology in tele-screening will advance the current screening programs to offer a cost-effective and time-efficient solution for detecting diabetic retinopathy.

Is oseltamivir suitable for fighting against COVID-19: In silico assessment, in vitro and retrospective study

BACKGROUND

Oseltamivir is a first-line antiviral drug, especially in primary hospitals. During the ongoing outbreak of coronavirus disease 2019 (COVID-19), most patients with COVID-19 who are symptomatic have used oseltamivir. Considering its popular and important role as an antiviral drug, it is necessary to evaluate oseltamivir in the treatment of COVID-19.

OBJECTIVE

To evaluate the effect of oseltamivir against COVID-19.

METHODS

Swiss-model was used to construct the structure of the N-terminal RNA-binding domain (NRBD) of the nucleoprotein (NC), papain-like protease (PLpro), and RNA-directed RNA polymerase (RdRp) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). TM-align program was performed to compare the structure of the viral proteins with the structure of the neuraminidase of influenza A. Molecular docking was used to analyze the theoretical possibility of effective binding of oseltamivir with the active centers of the viral proteins. In vitro study was used to evaluate the antiviral efficiency of oseltamivir against SARS-CoV-2. By clinical case analysis, we statistically evaluated whether the history of oseltamivir use influenced the progression of the disease.

RESULTS

The structures of NRBD, PLpro, and RdRp were built successfully. The results from TM-align suggested that the S protein, NRBD, 3C-like protease (3CLpro), PLPrO, and RdRp were structurally similar to the influenza A neuraminidase, with TM-scores of 0.30077, 0.19254, 0.28766, 0.30666, and 0.34047, respectively. Interestingly, the active center of 3CL pro was found to be similar to the active center from the neuraminidase of influenza A. Through an analysis of molecular docking, we discovered that oseltamivir carboxylic acid was more favorable to bind to the active site of 3CLpro effectively, but its inhibitory effect was not strong compared with the positive group. Finally, we used in vitro study and retrospective case analysis to verify our speculations. We found that oseltamivir is ineffective against SARS-CoV-2 in vitro study and the clinical use of oseltamivir did not improve the patients' symptoms and signs and did not slow the disease progression.

CONCLUSIONS

We consider that oseltamivir isn't suitable for the treatment of COVID-19. During the outbreak of novel coronavirus, when oseltamivir is not effective for the patients after they take it, health workers should be highly vigilant about the possibility of COVID-19.

Development and validation of a risk factor-based system to predict short-term survival in adult hospitalized patients with COVID-19: a multicenter, retrospective, cohort study

BACKGROUND

Coronavirus disease 2019 (COVID-19) has become a public health emergency of global concern. We aimed to explore the risk factors of 14-day and 28-day mortality and develop a model for predicting 14-day and 28-day survival probability among adult hospitalized patients with COVID-19.

METHODS

In this multicenter, retrospective, cohort study, we examined 828 hospitalized patients with confirmed COVID-19 hospitalized in Wuhan Union Hospital and Central Hospital of Wuhan between January 12 and February 9, 2020. Among the 828 patients, 516 and 186 consecutive patients admitted in Wuhan Union Hospital were enrolled in the training cohort and the validation cohort, respectively. A total of 126 patients hospitalized in Central Hospital of Wuhan were enrolled in a second external validation cohort. Demographic, clinical, radiographic, and laboratory measures; treatment; proximate causes of death; and 14-day and 28-day mortality are described. Patients' data were collected by reviewing the medical records, and their 14-day and 28-day outcomes were followed up.

RESULTS

Of the 828 patients, 146 deaths were recorded until May 18, 2020. In the training set, multivariate Cox regression indicated that older age, lactate dehydrogenase level over 360 U/L, neutrophil-to-lymphocyte ratio higher than 8.0, and direct bilirubin higher than 5.0 μmol/L were independent predictors of 28-day mortality. Nomogram scoring systems for predicting the 14-day and 28-day survival probability of patients with COVID-19 were developed and exhibited strong discrimination and calibration power in the two external validation cohorts (C-index, 0.878 and 0.839).

CONCLUSION

Older age, high lactate dehydrogenase level, evaluated neutrophil-to-lymphocyte ratio, and high direct bilirubin level were independent predictors of 28-day mortality in adult hospitalized patients with confirmed COVID-19. The nomogram system based on the four factors revealed good discrimination and calibration, suggesting good clinical utility.

1041 Sleep Quality Mediates The Relationship Between Fear Of Cancer Recurrence And Psychological Distress In Young Adults With Cancer

Introduction

Fear of cancer recurrence is common in young adults with cancer and also related to poorer psychological outcomes. Sleep may be disrupted by anxious thoughts about cancer, causing long-term psychological distress. Thus, the current study tests sleep as a putative mediator of the association between fear of cancer recurrence and overall psychological distress in young adult cancer survivors.

Methods

In a national cross-sectional survey of Canadians, 436 young adults diagnosed with cancer between the ages of 15-39 (current age range 20-39, m=32.39, SD=4.70; 88% female) completed the Pittsburgh Sleep Quality Index, the Fear of Cancer Recurrence Inventory—Short Form, and the Kessler 10 Distress Inventory. Mediation was estimated using PROCESS. Age, sex, and on/off treatment status were entered into models as covariates.

Results

In the current sample, average fear of cancer recurrence was above the clinical cut-point (m=22.92, SD=6.84), psychological distress was high (m=25.18, SD=7.81), and sleep quality was poor (m=9.11, SD=3.95). Females reported significantly higher fear of cancer recurrence than males [F(1, 435)=15.49, p &lt;.001]. Patients on treatment reported significantly higher fear of cancer recurrence [F(1,435)=11.43, p=.001], poorer sleep quality [F(1,435)=6.48, p=.011], and greater psychological distress [F(1,435)=4.73, p &lt;.001] than patients off treatment. Using a bootstrapping model with covariates, higher fear of cancer recurrence was related to poorer sleep quality and, in turn, higher psychological distress as indicated by the indirect effect’s confidence interval not containing 0 (indirect effect=.13; 95%CI=0.081, 0.189).

Conclusion

Sleep quality may play an important role in connecting the common experience of fear of cancer recurrence to psychological distress in young adult cancer survivors. Future longitudinal research is needed to examine this possible mediator of young adult cancer patients’ psychological distress outcomes over time.

Support

This research was supported by a grant from the Newfoundland and Labrador Support for People and Patient-Oriented Research and Trials (NL-SUPPORT) Unit. Sheila Garland is supported by a Scotiabank New Investigator Award from the Beatrice Hunter Cancer Research Institute (BHCRI).

Long noncoding RNA LINC00662-miR-15b-5p mediated GPR120 dysregulation contributes to osteoarthritis

Previous studies demonstrated that dysregulation of G protein-coupled receptor 120 (GPR120) plays a protective role in osteoarthritis (OA). However, the mechanism underlying how GPR120 is downregulated remains largely unknown. In the present study, we evaluated whether GPR120 is regulated by microRNAs (miRNAs) and long noncoding RNAs (lncRNAs). Our results show that GPR120 was negatively regulated by miR-15b-5p through targeting 3' untranslated region (3'UTR), and that miR-15b-5p was negatively regulated by LINC00662. Further luciferase assay shows that LINC00662-miR-15b-5p signaling pathway contributed the regulation of GPR120 expression. Functionally, the decreased of LINC00662 caused increased miR-15b-5p, thereby leading to decreased GPR120. The decreased GPR120 then contributes to increased expression of inflammatory factors including tumor necrosis factor α (TNF-α), interleukin (IL)-6 and IL-8, cell apoptosis, and decreased apoptosis-related protein levels including cleaved caspase-3, cleaved caspase-9, and Bax in cultured rat chondrocytes. In summary, the present study shows that LINC00662-miR-15b-5p signaling pathway is involved in the regulation of GPR120, thereby contributing to arthritis.

Retinal break associated with traumatic lens dislocation or subluxation requiring vitrectomy

BACKGROUND

Both ectopia lentis and retinal injury are common results of blunt ocular trauma. Here, we investigated the incidence and characteristics of retinal breaks associated with ectopia lentis caused by blunt ocular trauma.

METHODS

Patients who underwent pars plana vitrectomy to treat traumatic lens subluxation and dislocation were retrospectively reviewed. The incidence, characteristics, and outcomes of retinal breaks were analyzed.

RESULTS

Forty-five eyes from 45 patients were included in the study. Seventeen eyes (37.7%) were complicated by retinal breaks or detachment, but only four (8.9%) were identified pre-operation. Our study revealed that retinal breaks were more frequently located at the superior (72.7%) and peripheral (81.8%) retina. All patients achieved anatomic recovery post-surgery. The eyes with and without retinal breaks did not differ significantly with respect to initial or final visual acuity. The final visual outcomes were independently and significantly associated with visual acuity at presentation (P = 0.001).

CONCLUSIONS

Retinal breaks occurred in approximately one-third of patients with traumatic ectopia lentis and were difficult to observe pre-operation. Complete ophthalmic evaluation and timely intervention may help achieve favorable outcomes.

Value of serum tumor markers for predicting EGFR mutations and positive ALK expression in 1089 Chinese non-small-cell lung cancer patients: A retrospective analysis

PURPOSE

The role of serum tumor markers (STMs) in the modern management of epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) mutations in lung cancer remains poorly described. In this study, we investigated whether STMs could be a valuable noninvasive tool to predict EGFR mutations and ALK positivity in non-small-cell lung cancer (NSCLC) patients.

EXPERIMENTAL DESIGN

We retrospectively reviewed and included 1089 NSCLC patients who underwent EGFR or ALK mutation testing and STMs measurement prior to treatment. The differences in several clinical characteristics and STMs between the subgroups were analyzed. Multivariate logistic regression analysis was performed to identify predictors of EGFR mutations and ALK positivity.

RESULTS

EGFR mutations were found more frequently in females (63.11%), never-smokers (59.69%), and those with lung adenocarcinoma (ADC) (53.87%). Negative carbohydrate antigen (CA) 125, ferritin (FERR), squamous cell carcinoma antigen (SCC), and soluble fragment of cytokeratin 19 (CYFRA 21-1) levels were significantly associated with EGFR mutations (p < 0.05). Multivariate analysis demonstrated that ADC, never-smoker status, and negative CA 125 and SCC results were predictors of EGFR mutations (p < 0.05). The receiver operating characteristic (ROC) curve yielded an area under the curve (AUC) of 0.715 (95% confidence interval [CI]: 0.673-0.758) for the combination of the four factors. Positive ALK expression was found more frequently in younger patients (median age: 49 years), females (8.40%), never-smokers (8.82%), and those negative for carcinoembryonic antigen (CEA) (8.02%). Multivariate analysis demonstrated that younger age and never-smoker status were the only independent predictors of ALK positivity (p < 0.05). The ROC curve yielded an AUC of 0.760 (95% CI: 0.677-0.844) for the combination of these two factors.

CONCLUSION

STMs are associated with mutant EGFR status and could be integrated with other clinical factors to enhance the ability to distinguish EGFR mutation status among NSCLC patients. For ALK-positive patients, younger age and never-smoker status could predict the mutation status, whereas STMs could not.

[Diagnostic value of serum miRNA let-7a for laryngeal carcinoma and effects of let-7a on proliferation and apoptosis of laryngeal carcinoma cells]

Objective: To investigate the diagnostic value of serum miRNAlet-7a in laryngeal carcinoma and the effect of let-7a on proliferation and apoptosis of laryngeal carcinoma cells. Methods: Real-time quantitative PCR was used to determine the expression level of serum miRNAlet-7a. The miRNA let-7a mimetic was synthesized and transiently transfected into the laryngeal carcinoma Hep-2 cell line by cationic liposome method. The effects of up-regulation of let-7a expression on laryngeal cancer Hep-2 cells were detected by FCM and MTT assays,respectively. The association of let-7a levels with laryngeal cancer and the diagnostic value for laryngeal cancer were analyzed. Measurement data were taken by t test or analysis of variance; Counting data were analyzed by χ(2) test and Fisher exact probability method. The receiver operating characteristic curve was used to analyze the diagnostic value of let-7a for laryngeal cancer. Results: The relative expression of serum let-7a in healthy subjects was significantly higher than that in patients with laryngeal cancer (0.931±0.094) vs (0.380±0.113) (t=26.507,P<0.01). The relative expressions of serum let-7a in patients with laryngeal cancer before and after surgery were (0.380±0.113) vs(0.493±0.164),with significant difference (t=3.848,P<0.01).The relative expression of serum let-7a was related to lymph node metastasis (t=2.946, P<0.01). There was a positive correlation between the relative expression of let-7a in laryngeal carcinoma and that in serum (r=0.466,P=0.003). After transfection of let-7a mimics, Hep-2 cells showed an increased significant increase in the expression of let-7a (P<0.01), proliferation (P<0.01) and apoptosis (P<0.01). ROC curve analysis showed that the best critical value for relative expression of let-7a in the diagnosis of laryngeal carcinoma was 0.557 with a sensitivity of 0.794,a specificity of 0.727,an area under curve(AUC) of 0.859,and a 95%CI of 0.773-0.926. Conclusions: miRNA let-7a can inhibit the proliferation of laryngeal carcinoma Hep-2 cells and promote apoptosis. Serum let-7a is down-regulated in patients with laryngeal cancer and the level of let-7a is related to lymph node metastasis,which would help early diagnosis and postoperative disease monitoring of laryngeal cancer,but further research is needed.

Alterations in folate-dependent one-carbon metabolism as colon cell transition from normal to cancerous

Folate-dependent one-carbon cycle metabolism (FOCM) plays a critical role in maintaining genomic stability through regulating DNA biosynthesis, repair and methylation. Folate metabolites as well as other metabolites in the FOCM are hypothesized to be altered when cells transition from normal to cancerous state. Using cells at different stages in their development into colorectal cancer, the FOCM metabolites were profiled as an effort to phenotype the cells, and the metabolite levels were compared to the expressions of related genes. Here, we investigate whether there is a correlation between the metabolite levels, DNA methylation levels and the expression of the related genes that drive the levels of these metabolites. Using CRL1459, APC10.1, HCT116 and Caco-2, we show for the first time that FOCM metabolites correlate with the gene expression patterns. These differences follow a trend that may facilitate distinguishing colon cells at the different stages as they transition into cancerous state. The folate distribution and methionine levels were found to be key in determining the staging of the colon cells in CRC development. Also, expression of CBS, MTRR and MAT genes may facilitate distinguishing between untransformed and transformed colon cells.

Altered Expression Profile of Circular RNAs in the Serum of Patients with Diabetic Retinopathy Revealed by Microarray

PURPOSE

Diabetic retinopathy (DR) is the leading cause of blindness among working age adults. Circular RNAs (circRNAs) are a kind of noncoding RNAs that are involved in the development of some diseases. Here, we aimed to determine the possible role of circRNAs in the pathogenesis of DR by determining the expression profile of circRNAs in the serum of DR patients.

METHODS

Nineteen subjects with type 2 diabetes mellitus with proliferative DR (T2DR), 15 subjects with type 2 diabetes mellitus without DR (T2DM), and 21 age-matched nondiabetic control subjects were included in the study. Expression profiles in the serum samples from 5 subjects of each group were studied by circular microarray and validated by quantitative real-time polymerase chain re- action (qRT-PCR) in another 40 subjects. Bioinformatic software was used to predict the microRNA response elements.

RESULTS

Thirty circRNAs were significantly upregulated in the serum of T2DR patients compared with the serum from both T2DM and control patients. Further, the altered expression of 7 circRNAs (hsa_circRNA_063981, hsa_circRNA_ 404457, hsa_circRNA_100750, hsa_circRNA_406918, hsa_ circRNA_104387, hsa_circRNA_103410, and hsa_circRNA_ 100192) were verified by qRT-PCR.

CONCLUSION

This study suggested a potential role of circRNAs in the pathogenesis of DR and provides novel molecular targets for clinical therapy.

Alpha-lipoic acid (ALA) as a supplementation for weight loss: results from a meta-analysis of randomized controlled trials

OBJECTIVES

Obesity is associated with significant morbidity and mortality rates. Even modest weight loss may be associated with health benefits. Alpha-lipoic acid (ALA) is a naturally occurring antioxidant. Studies have suggested anti-obesity properties of ALA; however, results are inconsistent. The purpose of this study is to conduct a meta-analysis of the effect of ALA on weight and body mass index (BMI).

METHODS

A comprehensive, systematic literature search identified 10 articles on randomized, double-blind, placebo-controlled studies involving ALA. We conducted a meta-analysis of mean weight and BMI change differences between ALA and placebo treatment groups.

RESULTS

Alpha-lipoic acid treatment coincided with a statistically significant 1.27 kg (confidence interval = 0.25 to 2.29) greater mean weight loss compared with the placebo group. A significant overall mean BMI difference of -0.43 kg/ m² (confidence interval = -0.82 to -0.03) was found between the ALA and placebo groups. Meta-regression analysis showed no significance in ALA dose on BMI and weight changes. Study duration significantly affected BMI change, but not weight change.

CONCLUSIONS

Alpha-lipoic acid treatment showed small, yet significant short-term weight loss compared with placebo. Further research is needed to examine the effect of different doses and the long-term benefits of ALA on weight management.

One-Step Solvothermal Method to Prepare Ag/Cu2O Composite With Enhanced Photocatalytic Properties

Ag/Cu2O microstructures with diverse morphologies have been successfully synthesized with different initial reagents of silver nitrate (AgNO3) by a facile one-step solvothermal method. Their structural and morphological characteristics were carefully investigated by means of X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM), and the experimental results showed that the morphologies transformed from microcubes for pure Cu2O to microspheres with rough surfaces for Ag/Cu2O. The photocatalytic activities were evaluated by measuring the degradation of methyl orange (MO) aqueous solution under visible light irradiation. The photocatalytic efficiencies of MO firstly increased to a maximum and then decreased with the increased amount of AgNO3. The experimental results revealed that the photocatalytic activities were significantly influenced by the amount of AgNO3 during the preparation process. The possible reasons for the enhanced photocatalytic activities of the as-prepared Ag/Cu2O composites were discussed.

Silencing Matrix Metalloproteinases 9 and 2 Inhibits Human Retinal Microvascular Endothelial Cell Invasion and Migration

PURPOSE

Proliferative retinal angiogenesis may severely impair the retina. Previous studies have indicated that matrix metalloproteinase (MMP)-2 and MMP-9 play important roles in the process of retinal angiogenesis. In this study, we suppressed MMP-2 and MMP-9 expression with RNA interference (RNAi) and then observed the inhibitory effects on the invasion and migration of human retinal microvascular endothelial cells (HRMECs).

METHODS

Small interfering RNAs against MMP-2 mRNA and MMP-9 mRNA were synthesized. After transfection, the MMP-2 and MMP-9 expression in HRMECs was examined by real-time polymerase chain reaction and Western blot analysis. Cell migration and invasion were measured with a migration assay and a scratch wound assay, respectively.

RESULTS

RNAi against MMP-2 and MMP-9 successfully inhibited the mRNA and protein expression of MMP-2 and MMP-9 in HRMECs. MMP-2 and MMP-9 knockdown could inhibit the invasion and migration of HRMECs.

CONCLUSIONS

These findings suggest that the RNAi approach towards MMP-2 and MMP-9 may be a potentially effective therapeutic method for the treatment of proliferative retinal angiogenesis.

The effects of dried root aqueous extract of Salvia miltiorrhiza and its major ingredient in acceleration of orthodontic tooth movement in rat

OBJECTIVES

Salvia miltiorrhiza (SM) is a popular and classic herb in traditional Chineses medicines. The objective is to confirm the effects of aqueous extract of S. miltiorrhiza (ESM) and its main ingredient on the promotion of orthodontic tooth movement and healing of periodontal ligament in rat.

MATERIALS AND METHODS

Male Sprague-Dawley rats (n= 150) were divided into five groups: model control group (0.5 ml/kg phosphate-buffered saline (PBS) injection), ESM group (0.75 g/kg/day of crude drugs) and Danshensu subgroups (250, 500, 750 mg/kg/day of body weight). All rats were administered intramuscularly into the buccal vestibular mucosa of first molar of left maxillary. The indicators such as the moving distance of orthodontic tooth, nuclear factor κB ligand (RANKL) and osteoprotegerin (OPG) expression and osteoclasts were tested.

RESULTS

The expressions of RANKL and OPG in the treatment groups were obviously enhanced compared with control group (P<0.05). The increase rate of OPG expression was slower than that of RANKL. But, RANKL decreased conspicuously after no orthodontic pressure was applied, especially in the treatment groups (Danshengsu high dose group at day 30: 2.17 versus 3.47 of control, P<0.01). ESM groups promoted osteoclasts proliferation in the first 20 days.

CONCLUSION

There is a relationship between RANKL/OPG ratio and the number of osteoclasts. ESM might accelerate periodontal alteration of rat orthodontic tooth via producing more osteoclasts.