Factors associated with nocturnal and diurnal glycemic variability in patients with type 2 diabetes: a cross-sectional study

PURPOSE

There is little information on factors that influence the glycemic variability (GV) during the nocturnal and diurnal periods. We aimed to examine the relationship between clinical factors and GV during these two periods.

METHODS

This cross-sectional study included 134 patients with type 2 diabetes. 24-h changes in blood glucose were recorded by a continuous glucose monitoring system. Nocturnal and diurnal GV were assessed by standard deviation of blood glucose (SDBG), coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE), respectively. Robust regression analyses were performed to identify the factors associated with GV. Restricted cubic splines were used to determine dose-response relationship.

RESULTS

During the nocturnal period, age and glycemic level at 12:00 A.M. were positively associated with GV, whereas alanine aminotransferase was negatively associated with GV. During the diurnal period, homeostatic model assessment 2-insulin sensitivity (HOMA2-S) was positively associated with GV, whereas insulin secretion-sensitivity index-2 (ISSI2) was negatively associated with GV. Additionally, we found a J-shape association between the glycemic level at 12:00 A.M. and MAGE, with 9.0 mmol/L blood glucose level as a cutoff point. Similar nonlinear associations were found between ISSI2 and SDBG, and between ISSI2 and MAGE, with ISSI2 value of 175 as a cutoff point.

CONCLUSION

Factors associated with GV were different between nocturnal and diurnal periods. The cutoff points we found in this study may provide the therapeutic targets for beta-cell function and pre-sleep glycemic level in clinical practice.

Investigating the Impact of Tea Consumption on Cognitive Function and Exploring Tea-Genetic Interactions in Older Adults Aged 65-105 Years: Findings from the 2002-2018 CLHLS Data

BACKGROUND

As the global population ages, cognitive impairment (CI) becomes more prevalent. Tea has been one of the most popular drinks in the world. Several studies have demonstrated that tea consumption has an impact on cognitive function.

OBJECTIVE

This study aims to examine the association between tea consumption and cognitive function and explore the potential effect of genetics on the relationship between tea consumption and CI risk in older adults.

DESIGN

This is a prospective longitudinal study using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

SETTING

Six waves of data from CLHLS containing 76,270 subjects were analyzed. Generalized estimation equations (GEE) with a logit link function were adopted to estimate the effect of tea consumption on CI risk from a cross-sectional and longitudinal perspective.

PARTICIPANTS

A population-based cohort of adults aged 65-105 years.

MEASUREMENTS

The frequency and type of tea consumption were obtained by questionnaires. CI was measured based on MMSE. Polygenic risk was measured using the polygenic score approach described by the International Schizophrenia.

RESULTS

The results showed that drinking green tea had a better protective effect on cognitive function than other types of tea, the incidence of CI gradually decreased with the increase of tea consumption frequency, and men were more likely to benefit from tea consumption. Additionally, we also found a significant interaction between tea consumption and genetic risk, measured by polygenic risk score (PRS).

CONCLUSIONS

Based on current research evidence, tea consumption, may be a simple and important measure for CI prevention.

A Method for Point Cloud Accuracy Analysis Based on Intensity Information

Three-dimensional laser scanning has emerged as a prevalent measurement method in numerous high-precision applications, and the precision of the obtained data is closely related to the intensity information. Comprehending the association between intensity and point cloud accuracy facilitates scanner performance assessment, optimization of data acquisition strategies, and evaluation of point cloud precision, thereby ensuring data reliability for high-precision applications. In this study, we investigated the correlation between point cloud accuracy and two distinct types of intensity information. In addition, we presented methods for assessing point cloud accuracy using these two forms of intensity information, along with their applicable scopes. By examining the percentage intensity, we analyzed the reflectance properties of the scanned object's surface employing the Lambertian model. Our findings indicate that the Lambertian circle fitting radius is inversely correlated with the scanner's ranging error at a constant scanning distance. Experimental outcomes substantiate that modifying the surface characteristics of the object enables the attainment of higher-precision point cloud data. By constructing a model associating the raw reflectance intensity with ranging errors, we developed a single-point error ellipsoid model to assess the accuracy of individual points within the point cloud. The experiments revealed that the ranging error model based on the raw intensity is solely applicable to point cloud data unaffected by specular reflectance properties. Moreover, the devised single-point error ellipsoid model accurately evaluates the measurement error of individual points. Both analytical methods can be utilized to evaluate the performance of the scanner as well as the accuracy of the acquired point cloud data, providing reliable data support for various high-precision applications.

Deep Learning-Based Multi-Modality Segmentation of Primary Gross Tumor Volume in CT and MRI for Nasopharyngeal Carcinoma

PURPOSE/OBJECTIVE(S)

The delineation of primary gross tumor volume (GTV) of nasopharyngeal carcinoma (NPC) is an essential step for radiotherapy planning. In clinical practice, radiation oncologists manually delineate the GTV in planning CT with the help of diagnostic MRI. This is because NPC tumors are closely adjacent to many important anatomic structures, and CT and MRI provide complementary strength to accurately determine the tumor extension boundary. Manual delineation is time-consuming with the potential registration errors between MRI and CT decreasing the delineation accuracy. In this study, we propose a fully automated GTV segmentation method based on CT and MRI by first aligning MRI to CT, and then, segmenting the GTV using a multi-modality deep learning model.

MATERIALS/METHODS

We collected 104 nasopharyngeal carcinoma patients with both planning CT and diagnostic MRI scans (T1 & T2 phases). An experienced radiation oncologists manually delineated the GTV, which was further examined by another senior radiation oncologist. Then, a coarse to fine cross-modality registration from MRI to CT was conducted as follows: (1) A rigid transformation was performed on MRI to roughly align MRI to CT with similar anatomic position. (2) Then, the region of interest (RoI) on both CT and rigid-transformed MRI were cropped. (3) A leading cross-modality deformable registration algorithm, named DEEDS, was applied on the cropped MRI and CT RoIs to find an accurate local alignment. Next, using CT and registered MRI as the combined input, a multi-modality deep segmentation network based on nnUNet was trained to generate the GTV prediction. 20% patients were randomly selected as the unseen testing set to quantitatively evaluate the performance.

RESULTS

The quantitative NPC GTV segmentation performance is summarized in Table 1. The deep segmentation model using CT alone achieved reasonable high performance with 76.6% Dice score and 1.34mm average surface distance (ASD). When both CT and registered MRI were used, the segmentation model further improved the performance by 0.9% Dice score increase and 11% relative ASD error reduction, demonstrating the complementary strength of CT and MRI in determining NPC GTV. Notably, the achieved 77.5% Dice score and 1.19mm ASD by the multimodality model is among the top performing results reported in recent automatic NPC GTV segmentation using either CT or MRI modality.

CONCLUSION

We developed a fully automated multi-modal deep-learning model for NPC GTV segmentation. The developed model can segment the NPC GTV in high accuracy. With further optimization and validation, this automated model has potential to standardize the NPC GTV segmentation and significantly decrease the workload of radiation oncologists in clinical practice.

Anatomy-Guided Deep Learning Model for Accurate and Robust Gross Tumor Volume Segmentation in Lung Cancer Radiation Therapy

PURPOSE/OBJECTIVE(S)

In lung cancer radiation therapy, clinicians must outline the gross tumor volume (GTV) precisely on the planning computed tomography (pCT) for accurate radiation dose delivery. However, due to the limited contrast between tumor and normal tissues in lung parenchyma, accurate delineation of tumor boundaries is difficult leading to large inter-observer variation. In this study, we develop an anatomy-guided lung GTV deep segmentation model using a training cohort of multi-center datasets. The quantitative segmentation performance is evaluated on an independent dataset, where the inter-observer delineation variation is also assessed.

MATERIALS/METHODS

We collected and curated four publicly available lung datasets with GTV annotations (Lung-PET-CT-Dx, LIDC-IDRI, NSCLC-Radiogenomics and RIDER-CT) for deep learning model development. A total of 871 CT scans of patients, who were diagnosed with T1-T4 NSCLC, were available for training after data curation. The GTV annotations of primary tumor were examined and edited by two experienced radiation oncologists following the RTOG 1106 protocol. An anatomy-guided deep learning model was proposed, which consisted two deep networks. The first deep network used CT scan as input and segmented 4 anatomic organs (airway, heart, pulmonary artery and pulmonary vein), while the second deep network took both CT scan and these pre-segmented 4 organs as input and segmented the lung GTV. With the help of anatomic priors from 4 pre-segmented organs, the second deep network could more easily locate the GTV. We used nnUNet as the deep segmentation network. For evaluation, we used NSCLC-Radiomics as the testing dataset, which contains 20 CT scans each annotated by 5 radiation oncologists. The auto-segmented GTV were compared against each of the manual GTV reference. Inter-observer variation was also assessed using the 5 manual GTV references.

RESULTS

The proposed anatomic-guided lung GTV segmentation model achieved a mean Dice score of 82.4% and 95% Hausdorff distance (HD95) of 6.9mm when averaged cross 20 patients and 5 GTV references (Table 1), which outperformed the basic deep GTV segmentation model by markedly reducing 19.4% HD95 error. The performance of proposed model was also comparable to the inter-observer variation (Dice score: 82.4% vs. 81.9%, HD95 6.9 vs. 6.4mm), indicating that our model had similar reproducibility as human observers.

CONCLUSION

We developed and tested an anatomy-guided deep learning model for segmenting GTV in NSCLC patients. The model achieves high quantitative segmentation performance, which is comparable to the human observer variation. It can be potentially used in radiotherapy practice to improve GTV delineation consistency and reduce workloads of radiation oncologists.

Pan-cancer analyses reveal multi-omic signatures and clinical implementations of the forkhead-box gene family

BACKGROUND

Forkhead box (FOX) proteins belong to one of the largest transcription factor families and play crucial roles in the initiation and progression of cancer. Prior research has linked several FOX genes, such as FOXA1 and FOXM1, to the crucial process of carcinogenesis. However, the overall picture of FOX gene family across human cancers is far from clear.

METHODS

To investigate the broad molecular signatures of the FOX gene family, we conducted study on multi-omics data (including genomics, epigenomics and transcriptomics) from over 11,000 patients with 33 different types of human cancers.

RESULTS

Pan-cancer analysis reveals that FOX gene mutations were found in 17.4% of tumor patients with a substantial cancer type-dependent pattern. Additionally, high expression heterogeneity of FOX genes across cancer types was discovered, which can be partially attributed to the genomic or epigenomic alteration. Co-expression network analysis reveals that FOX genes may exert functions by regulating the expression of both their own and target genes. For a clinical standpoint, we provided 103 FOX gene-drug target-drug predictions and found FOX gene expression have potential survival predictive value. All of the results have been included in the FOX2Cancer database, which is freely accessible at http://hainmu-biobigdata.com/FOX2Cancer.

CONCLUSION

Our findings may provide a better understanding of roles FOX genes played in the development of tumors, and help to offer new avenues for uncovering tumorigenesis and unprecedented therapeutic targets.

Recovery of gland function after endoscopy-assisted removal of impacted hilo-parenchymal stones in the Wharton's duct

The aim of this study was to evaluate the gland function of patients following endoscopy-assisted removal of impacted hilo-parenchymal stones in the Wharton's duct. The study cohort comprised 115 patients who had undergone successful endoscopy-assisted lithotomy for hilo-parenchymal stones (mean diameter 7.7 mm). Gland function was evaluated at a mean 12 months after surgery using ultrasonography, sialography, and/or sialometry. Postoperative ultrasonography of 51 affected glands revealed a regular gland size in 58.8%, normal parenchyma density in 51.0%, and ductal ectasia in 80.4%. Postoperative sialograms of 109 affected glands were scored as type I (approximately normal) in 13 cases, type II (saccular ectasia of the hilo-parenchymal duct with/without stenosis, and no contrast retention) in 64, type III (saccular ectasia of the hilo-parenchymal duct with/without stenosis, and mild contrast retention) in 23, and type IV (poor shape of the main duct with evident contrast retention) in nine cases. The existence of ductal ectasia corresponded well to larger stone cases (P = 0.002). In the postoperative sialometry of 35 patients with unilateral stones, differences between the two sides were insignificant (P > 0.05). For patients with hilo-parenchymal submandibular gland stones, endoscopy-assisted surgery and extended postoperative follow-up help preserve the gland with good function.

Epigenetically regulated lncRNAs dissect the intratumoural heterogeneity and facilitate immune evasion of glioblastomas

Background: Glioblastomas are the most common and malignant central nervous system (CNS) tumors that occupied a highly heterogeneous tumor microenvironment (TIME). Long noncoding RNAs (lncRNAs), whose expression can be modified by DNA methylation, are emerging as critical regulators in the immune system. However, knowledge about the epigenetic changes in lncRNAs and their contribution to the immune heterogeneity of glioma is still lacking. Methods: In this study, we integrated paired methylome and transcriptome datasets of glioblastomas and identified 2 robust immune subtypes based on lncRNA methylation features. The immune characteristics of glioma subtypes were compared. Furthermore, immune-related lncRNAs were identified and their relationships with immune evasion were evaluated. Results: Glioma immunophenotypes exhibited distinct immune-related characteristics as well as clinical and epigenetic features. 149 epigenetically regulated (ER) lncRNAs were recognized that possessed inverse variation in epigenetic and transcriptional levels between glioma subtypes. Immune-related lncRNAs were further identified through the investigation of their correlation with immune cell infiltrations and immune-related pathways. In particular, the 'Hot' glioma subtype with higher immunoactivity while a worse survival outcome was found to character immune evasion features. We finally prioritized candidate ER lncRNAs associated with immune evasion markers and response to glioma immunotherapy. Among them, CD109-AS1 and LINC02447 were validated as novel immunoevasive biomarkers for glioma through in vitro experiments. Conclusion: In summary, our study systematically reveals the crosstalk among DNA methylation, lncRNA, and immune regulation in glioblastomas, and will facilitate the development of epigenetic immunotherapy approaches.

[Prevalence of Anisakise infections in marine fishes in Eastern Fujian Fishing Ground of Fujian Province]

OBJECTIVE

To investigate the prevalence of Anisakis infection in marine fishes in Eastern Fujian Fishing Ground of Fujian Province, so as to provide insights into the development of the anisakiasis control strategy.

METHODS

Marine fish samples were randomly collected from Jiaocheng District, Fuding City and Xiapu County around Eastern Fujian Fishing Ground in Fujian Province from September to December, 2021. All fishes were dissected, and the abdominal contents were collected. Parasites were sampled under a stereomicroscope and the Anisakis species were identified through morphology. The prevalence and intensity of Anisakis infections were calculated.

RESULTS

A total of 177 marine fishes belonging to 24 species were dissected, and Anisakis was detected in 73 marine fishes (41.2%) belonging to 16 species (66.7%), with a mean infection intensity of 14.3 parasites per fish. High prevalence of Anisakis infection was found in Ilisha elongata (5/5), Miichthys miiuy (3/3), Plectorhynchus cinctus (2/2), Scomberomorus niphonius (12/13), Trichiurus lepturus (19/23), Pennahia argentata (6/11) and Ditrema temmincki (14/27), with mean infection intensities of 9.2, 2.7, 4.5, 10.9, 39.2, 4.5 parasites per fish and 2.1 parasites per fish. The Anisakis larvae were characterized as Anisakis and Hysterothylacium.

CONCLUSIONS

High prevalence of Anisakis infection is detected in marine fishes in Eastern Fujian Fishing Ground of Fujian Province. The health education pertaining to food health is required to be reinforced to prevent the development of human anisakiasis.

[New agents-based induction chemotherapy followed by autologous stem cell transplantation and maintenance treatment strategy for multiple myeloma: a single center retrospective study of 300 cases]

Objective: To examine the survival and influential factors of an integrated approach of novel agents, autologous hematopoietic stem cell (auto-HSCT) , and maintenance therapy in patients with multiple myeloma (MM) patients from a single center over the past 15 years. Methods: In our center, 300 MM patients who received an integrated strategy of new agents, auto-HSCT, and maintenance therapy over 15 years were retrospectively and prospectively analyzed. Results: The complete remission rates (CR) and ≥very good partial remission rates (VGPR) following induction therapy, transplantation, and maintenance therapy were respectively 35.3% and 55.2% , 72.4% and 80.0% , 89.2% , and 93.4% . When compared to patients receiving double-drug induction, the ≥VGPR and ORR of patients receiving triple-drug induction were improved. No difference existed in CR, ≥VGPR, and ORR between the PAD (bortezomib + liposome doxorubicin+ dexamethasone) and RAD (lenalidomide + liposome doxorubicin + dexamethasone) regimens, but the benefits speed differed. The negative rate of flow minimal residual disease following induction, transplantation, and maintenance was 18.8% (54 cases) , 41.4% (109 cases) , and 58.7% (142 cases) , respectively. The median time to progress (TTP) was 78.7 months and the median overall survival (OS) was 109 months. The median TTP for RISS-Ⅰ-Ⅲ patients were 111.8 months, 77.4 months, and 30.6 months, and the median OS was 118.8 months, 91.4 months, and 48.5 months, respectively. At various points during treatment, the TTP and OS of patients obtaining CR and MRD negative were longer than those of patients who did not obtain CR and MRD negative. TTP was noticeably shorter in high-risk cytogenetic patients compared to standard-risk patients even when CR was acquired during induction. There was no difference in TTP between patients with high-risk cytogenetics and those with standard-risk cytogenetics if MRD negative was acquired during induction. According to a multivariate analysis, the R-ISS stage was a poor predictor of TTP and OS at various treatment intervals. Therapeutic effectiveness was a newly independent prognostic factor following treatment. Conclusion: A median survival of almost 10 years is possible for MM patients who receive an integrated strategy of induction regimens followed by auto-HSCT and maintenance therapy, which significantly improves prognosis. However, this approach did not significantly benefit high-risk cytogenetic MM patients.

Sex-specific metabolic risk factors and their trajectories towards the non-alcoholic fatty liver disease incidence

PURPOSE

Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease. This study examined sex-specific associations between NAFLD and metabolic factors and investigated the trajectory of risk factors.

METHODS

We retrospectively investigated 16,140 individuals from Beijing Health Management Cohort. Univariate and multivariate time-dependent Cox regression analyses were performed to identify independent risk factors for new-onset NAFLD. The trajectory of risk factors was investigated using the latent growth curve model and growth mixture model.

RESULTS

Over a median follow-up of 3.15 years, 2,450 (15.18%) participants developed NAFLD. The risk factors for NAFLD in men were increased body mass index (BMI); waist circumference (WC); triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), haemoglobin (Hb), and serum uric acid (SUA) levels; and platelet (PLT) count and decreased serum creatinine-to-body weight (sCr/bw) and high-density lipoprotein cholesterol (HDL-C) levels. In women, the risk factors were increased BMI, WC, and fasting plasma glucose (FPG), TG, LDL-C, SUA, white blood cell (WBC), and PLT and decreased sCr/bw and HDL-C levels. In addition, BMI, LDL-C, sCr/bw and PLT changing trajectories were associated with NAFLD in men; BMI, WC, TG, LDL-C, SUA and sCr/bw trends was associated with NAFLD risk in women.

CONCLUSIONS

Development of NAFLD is associated with BMI, LDL-C, sCr/bw and PLT changing trajectories in men; BMI, WC, TG, LDL-C, SUA and sCr/bw trends are associated an increased risk of NAFLD in women. Deterioration of metabolic risk factors status can be a predictor of NAFLD many years before its occurrence.

A Geometric-Feature-Based Method for Automatic Extraction of Anchor Rod Points from Dense Point Cloud

As the technology of high-precision 3D laser scanning becomes increasingly prevalent in the fields of hydraulic building modeling and deformation monitoring, the quality of point clouds plays an increasingly crucial role in data processing. This paper investigates an automatic extraction method of anchor rod points based on geometric features, which focuses on the influence of anchor rod points and mixed pixels in the data of an underground powerhouse of a pumped storage power station on modeling and deformation monitoring during the construction period. This workflow consists of two steps that can automatically extract anchor rod points from high-density point cloud data. Triangular mesh features in the local neighborhood and the parameters of the anchor rods are used to locate the anchor rod in downsampled data, and curvature features are used to extract anchor rod points precisely. The experiment of extracting anchor rods shows that the accuracy of this method of initial identification is 97.2%. Furthermore, precise extraction based on curvature curve fitting is applicable. This method can accurately separate the three types of anchor rods from the dense point cloud on the rough surface of a cavern roof; the false-extraction rate of anchor rod points is about 0.11% to 5.09%. This method can provide high-quality and dependable data sources for the precise registration, modeling and deformation analysis of point clouds in a construction cavern.

Adult-onset type 1 diabetes: A changing perspective

Type 1 diabetes most commonly presents in adulthood, contrary to the widely held view that it is a disease of childhood. Furthermore, a substantial proportion of cases of adult-onset type 1 diabetes does not require insulin therapy at clinical onset. Recent studies have emphasised the evidence that adult-onset type 1 diabetes is prevalent but often misclassified initially as type 2 diabetes (1, 2). In this review, we discuss that recent literature, highlighting the similarities and differences between adult-onset and childhood-onset type 1 diabetes, exploring recent debates surrounding its epidemiology and genetics, as well as expanding on important issues of diagnostic criteria for individuals presenting with adult-onset diabetes and the subsequent management once identified as having an autoimmune basis. In addition, this review looks at the psychosocial challenges faced by T1D patients and their possible management.

Identification and functional analysis of N6-methyladenine (m6 A)-related lncRNA across 33 cancer types

BACKGROUND

N6-methyladenosine (m⁶ A) plays an essential role in tumorigenesis and cancer progression. Long noncoding RNAs (lncRNAs) are discovered to be important targets of m⁶ A modification, and they play fundamental roles in diverse biological processes. However, there is still a lack of knowledge with regards to the association between m⁶ A and lncRNAs in human tumors.

METHODS

The relationship between lncRNAs and 21 m⁶ A regulators was comprehensively explored, through the integration of multi-omics data from M6A2Target, m6A-Atlas, and TCGA (The Cancer Genome Atlas). In order to explore the potential roles of m6A-related lncRNAs in human tumors, three applicable methods were introduced, which include the construction of ceRNA networks, drug sensitivity estimation, and survival analysis.

RESULTS

A substantial number of positive correlation events across 33 cancer types were found. Moreover, cancer-specific lncRNAs were associated with tissue specificity, and cancer-common lncRNAs were conserved in cancer-related biological function. In particular, the m⁶ A-related lncRNA FGD5-AS1 was found to be associated with cancer treatment, through its influence on cisplatin resistance in breast cancer patients. Finally, a user-friendly interface Lnc2m6A, which is enriched with various browsing sections resource for the exhibition of relationships and putative biogenesis between lncRNAs and m⁶ A modifications, is offered in http://hainmu-biobigdata.com/Lnc2m6A.

CONCLUSIONS

In summary, the results from this paper will provide a valuable resource that guides both mechanistic and therapeutic roles of m⁶ A-related lncRNAs in human tumors.

Comprehensive Analysis of the Carcinogenic Process, Tumor Microenvironment, and Drug Response in HPV-Positive Cancers

Human papillomavirus (HPV) is a common virus, and about 5% of all cancers worldwide is caused by persistent high-risk HPV infections. Here, we reported a comprehensive analysis of the molecular features for HPV-related cancer types using TCGA (The Cancer Genome Atlas) data with HPV status. We found that the HPV-positive cancer patients had a unique oncogenic process, tumor microenvironment, and drug response compared with HPV-negative patients. In addition, HPV improved overall survival for the four cancer types, namely, cervical squamous cell carcinoma (CESC), head and neck squamous cell carcinoma (HNSC), stomach adenocarcinoma (STAD), and uterine corpus endometrial carcinoma (UCEC). The stronger activity of cell-cycle pathways and lower driver gene mutation rates were observed in HPV-positive patients, which implied the different carcinogenic processes between HPV-positive and HPV-negative groups. The increased activities of immune cells and differences in metabolic pathways helped explain the heterogeneity of prognosis between the two groups. Furthermore, we constructed HPV prediction models for different cancers by the virus infection score (VIS) which was linearly correlated with HPV load and found that VIS was associated with drug response. Altogether, our study reveals that HPV-positive cancer patients have unique molecular characteristics which help the development of precision medicine in HPV-positive cancers.

Material Nanoarchitectonics of Functional Polymers and Inorganic Nanomaterials for Smart Supercapacitors

Smart supercapacitors are a promising energy storage solution due to their high power density, long cycle life, and low-maintenance requirements. Functional polymers (FPs) and inorganic nanomaterials are used in smart supercapacitors because of the favorable mechanical properties (flexibility and stretchability) of FPs and the energy storage properties of inorganic materials. The complementary properties of these materials facilitate commercial applications of smart supercapacitors in flexible smart wearables, displays, and self-generation, as well as energy storage. Here, an overview of strategies for the development of suitable materials for smart supercapacitors is presented, based on recent literature reports. A range of synthetic techniques are discussed and it is concluded that a combination of organic and inorganic hybrid materials is the best option for realizing smart supercapacitors. This perspective facilitates new strategies for the synthesis of hybrid materials, and the development of material technologies for smart energy storage applications.

Correlation between Abdominal Wall Subcutaneous Fat Thickness and Heart Weight in Southern Chinese Population

Abstract

Objective To study the correlation between the abdominal wall subcutaneous fat thickness and heart weight, so as to provide reference for prediction methods of normal range of heart weight that is suitable for autopsy in China. Methods The forensic pathology autopsy cases accepted by Center for Medicolegal Expertise of Sun Yat-sen University from 1998 to 2017 were collected. Then the exclusion criteria were determined, and according to them the total case group was selected, and the 6 disease groups and the normal group were further selected from the total case group. The rank sum test was used to compare the heart weight of the normal group and the disease groups to determine the influence of diseases on heart weight. Then the Spearman rank correlation analysis of abdominal wall subcutaneous fat thickness and heart weight in different genders and different ages in the total case group and the normal group was conducted to get the correlation coefficient （r_s）. Results In the total case group, correlation between abdominal wall subcutaneous fat thickness and heart weight was shown in males of all ages （P<0.05）; while in females, the correlation had no statistical significance （P>0.05） in 15-<20 age and 50-<60 age, but was statistically significant （P<0.05） in other age groups. For the males in the normal group, r_s was respectively 0.411, 0.541 and 0.683 in the 15-<40 age, the 40-<60 age, and the ≥60 age. For the females, r_s was respectively 0.249 and 0.317 in the 15-<40 age and the 40-<60 age. The correlation in the ≥60 age had no statistical significance（P>0.05）. Conclusion In the general population and the normal population, abdominal wall subcutaneous fat thickness is correlated with the heart weight of males. It is of significance to include the abdominal wall subcutaneous fat thickness in the prediction of normal range of heart weight for males in China.

NiIII -rich NiFeBa as an Efficient Catalyst for Water Oxidation

Electrocatalytic water oxidation requires efficient catalysts to reduce the overpotential and accelerate the sluggish kinetics of oxygen formation. Here, a promising NiFeBa material was prepared by the co-electrodeposition of Ba²⁺ , Ni²⁺ , and Fe³⁺ as an efficient catalyst for electrocatalytic water oxidation. NiFeBa showed enhanced water oxidation performance compared with NiFe layered double hydroxide and NiFe oxide, delivering a current density of 10 mA cm^-2 at an overpotential of 180 mV. Doped Ba ions played a key role in stabilizing the electrogenerated Ni³⁺ species, producing more octahedral Ni-O structures for lattice oxygen-based water oxidation, adjusting the catalytic mechanism, and finally leading to an enhancement of catalytic efficiency.

Novel WS2 /Fe0.95 S1.05 Hierarchical Nanosphere as a Highly Efficient Electrocatalyst for Hydrogen Evolution Reaction

Fe_0.95 S_1.05 with high reactivity and stability was incorporated into WS₂ nanosheets via a one-step solvothermal method for the first time. The resulted hybrid catalyst has much higher catalytic activity than WS₂ and Fe_0.95 S_1.05 alone, and the optimal WS₂ /Fe_0.95 S_1.05 hybrid catalyst was found by adjusting the feed ratio. The addition of Fe_0.95 S_1.05 was proven to be able to enhance the hydrogen evolution reaction (HER) activity of WS₂ , and vice versa. At the same time, it was found that the catalytic effect of the hybrid catalyst was the best when the feed ratio was W : Fe=2 : 1. In other words, we confirmed that there is a synergistic effect between W- and Fe-based sulfide hybrid catalysts, and validated that the reason for the improved HER performance is the strong interaction between the two in the middle sulfur. WS₂ /Fe_0.95 S_1.05 -2 hybrid catalyst leads to enhanced HER activity, which shows a low overpotential of ∼0.172 V at 10 mA cm^-2 , low Tafel slope of ∼53.47 mV/decade. This study supplies innovative synthesis of a highly active WS₂ /Fe_0.95 S_1.05 hybrid catalyst for HER.

[A comparative study of transperitoneal transmesenteric approach versus paracolic sulci approach laparoscopic adrenal tumorectomy for treatment of primary hyperaldosteronism on left side]

Objective: To compare the therapeutic effect of transperitoneal transmesenteric approach versus paracolic sulci approach laparoscopic adrenal tumorectomy for treatment of left-sided primary hyperaldosteronism. Methods: From January 2017 to July 2019, the clinical data of 70 patients with left-sided primary hyperaldosteronism (PHA) who underwent surgery in the First Hospital of Lanzhou University and five other hospitals in Gansu Province were retrospectively analyzed. There are 43 male and 27 female patients. Among them,28 patients were performed transperitoneal transmesenteric approach laparoscopic adrenal tumorectomy and 42 patients were performed transperitoneal paracolic sulci approach laparoscopic adrenal tumorectomy. The general information and perioperative data of the two groups were compared. Results: All 70 cases of surgery were successfully completed. As compared with the paracolic sulci approach group, the operation time was significantly shorter in the transmesenteric approach group[(26.7±8.8)vs (38.9±7.1)min,P<0.001)], and the estimated blood loss was less in the transmesenteric approach group[45(30,50) vs 50(40,60)ml,P=0.042]. There was no statistically significant difference in the postoperative hospitalization days between the two groups[(4.4±1.0)vs(4.5±1.0)d, P=0.669)]. The electrolytes and aldosterone to renin ratio returned to a healthy level in the postoperative one month, and the blood pressure also returned to a healthy level in 53 (75.7%) patients. Conclusion: Transperitoneal transmesenteric approach laparoscopic adrenal tumorectomy is safe and feasible, with a short operation time and relatively less estimated blood loss.

Effect of mood on long-term disability in younger stroke survivors: results from the Psychosocial Outcomes In StrokE (POISE) study

Background & Purpose: Anxiety and depression are common among stroke survivors, and their effect on long-term outcome remains unknown in those under 65 years of age. We investigated the association between early anxiety/depression after stroke and 12-month disability, and whether this is modified by sex.Methods: The Psychosocial Outcomes In StrokE (POISE) study was a prospective observational cohort study that recruited 441 younger (< 65 years) stroke survivors ≤28 days of acute stroke. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale, and disability using the World Health Organization Disability Assessment Scale version II (WHODAS-II). Associations between baseline anxiety/depression, and disability at 12-months was tested using analysis of covariance. Subgroup analysis was conducted using interaction term.Results: 92 (25%) had anxiety and 53 (14%) depression at baseline. Multivariable models showed significant association between baseline anxiety and 12-month disability (WHODAS-II score 15.24 vs. 11.49, p < .05). Those with anxiety had more impairment in 'cognition' (WHODAS-II score 18.26 vs. 8.71, p < .001), 'getting along' (WHODAS-II score 11.87 vs. 7.42, p < .05) and 'participation' (WHODAS-II score 22.37 vs. 15.92, p < .005) WHODAS-II. No significant relationship was found between baseline depression and long-term disability. There was no differential effect of anxiety by sex found in this study.Conclusions: Post-stroke anxiety has an adverse effect on disability at one year among young stroke survivors.

Review and Prospects of Pathogen Detection Related to Autopsy of Coronavirus Infectious Diseases

Abstract

In the past, coronavirus caused two serious human-to-human pandemics in the world, including severe acute respiratory syndrome （SARS） and Middle East respiratory syndrome （MERS）. In late 2019, coronavirus disease 2019 （COVID-19） caused another major global public health event. Due to the strong infectivity of novel coronavirus, it is difficult to carry out the autopsy of related death cases widely. This paper reviews the previous status of the pathogen detection related to the autopsy of coronavirus infection diseases, and introduces the ongoing detection methods of novel coronavirus in clinical practice, in order to provide reference for the pathogen detection and study related to autopsy of COVID-19.

Multiyear in-situ L-band microwave radiometry of land surface processes on the Tibetan Plateau

We report a unique multiyear L-band microwave radiometry dataset collected at the Maqu site on the eastern Tibetan Plateau and demonstrate its utilities in advancing our understandings of microwave observations of land surface processes. The presented dataset contains measurements of L-band brightness temperature by an ELBARA-III microwave radiometer in horizontal and vertical polarization, profile soil moisture and soil temperature, turbulent heat fluxes, and meteorological data from the beginning of 2016 till August 2019, while the experiment is still continuing. Auxiliary vegetation and soil texture information collected in dedicated campaigns are also reported. This dataset can be used to validate the Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) satellite based observations and retrievals, verify radiative transfer model assumptions and validate land surface model and reanalysis outputs, retrieve soil properties, as well as to quantify land-atmosphere exchanges of energy, water and carbon and help to reduce discrepancies and uncertainties in current Earth System Models (ESM) parameterizations. Measurement cases in winter, pre-monsoon, monsoon and post-monsoon periods are presented.

Boosting Electrocatalytic Water Oxidation by Creating Defects and Lattice-Oxygen Active Sites on Ni-Fe Nanosheets

Layered nickel-iron oxide/hydroxide nanosheets have proven to be the most efficient catalyst for the water oxidation reaction. Introducing structural defects to the nanosheets is a particularly attractive method for increasing the number of active sites and tailoring the intrinsic electronic properties. Herein, defects were introduced on Ni-Fe nanosheets through sequentially electrodoping and dedoping the surface of the material with tetramethylammonium ions. The as-prepared defect-rich Ni-Fe nanosheets showed an enhanced catalytic performance for the oxygen evolution reaction (OER) compared with conventional NiFe layered double hydroxides (LDHs), exhibiting an overpotential of only 172 mV at the current density of 10 mA cm^-2 . The relationship between pH and OER activity indicated that the lattice oxygens participated in the catalytic OER process as active sites. This work provides new insights into the understanding of the structure-activity relationship of layered materials and helps to develop new methods to implement defects on such frameworks aided by organic molecules.

Dual-Heteroatom-Doped Reduced Graphene Oxide Sheets Conjoined CoNi-Based Carbide and Sulfide Nanoparticles for Efficient Oxygen Evolution Reaction

Intensive research is being conducted into highly efficient and cheap nanoscale materials for the electrocatalytic oxidation of water. In this context, we built heterostructures of multilayered CoNi-cyanide bridged coordination (CoNi-CP) nanosheets and graphene oxide (GO) sheets (CoNi-CP/GO) as a source for heterostructured functional electrodes. The layered CoNi-CP/GO hybrid components heated in nitrogen gas (N₂) at 450 °C yield CoNi-based carbide (CoNi-C) through thermal decomposition of CoNi-CP, while GO is converted into reduced GO (rGO) to finally form a CoNi-C/rGO-450 composite. The CoNi-C/rGO-450 composite shows a reasonable efficiency for oxygen evolution reaction (OER) through water oxidations in alkaline solution. Meanwhile, regulated annealing of CoNi-CP/GO in N₂ with thiourea at 450 and 550 °C produces CoNi-based sulfide (CoNi-S) rather than CoNi-C between rGO sheets co-doped by nitrogen (N) and sulfur (S) heteroatoms (NS-rGO) to form CoNi-S/NS-rGO-450 and CoNi-S/NS-rGO-550 composites, respectively. The CoNi-S/NS-rGO-550 shows the best efficiency for electrocatalytic OER among all electrodes with an overpotential of 290 mV at 10 mA cm^-2 and a Tafel slope of 79.5 mV dec^-1. By applying the iR compensation to remove resistance of the solution (2.1 Ω), the performance is further improved to achieve a current density of 10 mA cm^-2 at an overpotential of 274 mV with a Tafel slope of 70.5 mV dec^-1. This result is expected to be a promising electrocatalyst compared to the currently used electrocatalysts and a step for fuel cell applications in the future.

Controlled synthesis of mesoporous single-crystalline TiO2 nanoparticles for efficient photocatalytic H2 evolution

Mesoporous single-crystals have emerged as a unique family of functional materials, exhibiting excellent performance in various applications, owing to their well-defined accessible mesoporosity and highly single-crystalline structures. Precise tailoring structures of mesoporous single-crystals at the nanoscale remains an unsolved scientific and technical challenge. Herein, we report a facile and general approach for the synthesis of mesoporous single-crystalline TiO₂ nanoparticles (designated as MSC-TNs) with distinctive traits including tunable morphologies, controllable particle sizes, well dispersity, high hydrophilicity, well-defined mesoporosity and single-crystal nature. Specifically, the amount of water employed in the precursor solution was seen to give fine control over the particle sizes and morphologies of MSC-TNs. MSC-TNs with different sizes show excellent photocatalytic activity in production of hydrogen from water. Under the illumination of 300 W Xe lamp, MSC-TNs were shown to provide good photodegradation performance with Rhodamine 6 G, as well as H₂ production when loaded 1 wt % Pt. In a CH₃OH solution H₂ was evolved with a rate of 8.98 mmol h^-1 g^-1, which is significantly higher than with commercial P25 nanoparticles (4.02 mmol h^-1 g^-1).

Characterization of carbapenem-resistant Klebsiella pneumoniae in a tertiary hospital in Fuzhou, China

Aims

The emergence of carbapenem‐resistant Klebsiella pneumoniae (CRKP) strains has led to increased mortality and morbidity rates. Tigecycline, a new class of broad‐spectrum glycyl‐tetracycline antibiotics, has been used to target multi‐ and pan‐drug‐resistant bacterial infections. This study aimed to assess the molecular characteristics of CRKP in a tertiary hospital, and its susceptibility to tigecycline, to create a reference for hospital infection control and clinical drug use.

Methods and Results

We retrieved patient clinical information and CRKP characterization from medical records and detected the MIC of tigecycline using the micro‐broth dilution method. Multi‐locus sequence typing was performed, and antibiotic resistance genes associated with CRKP were detected by qPCR. A total of 166 CRKP strains were detected in the sputum, urine and blood among intensive care unit patients (average age, 69·6 years). The most infrequently observed resistance genes were amikacin resistance genes, followed by tobramycin resistance genes. KPC‐2, CTX‐M9 and CTX‐M1 were the most frequently detected resistance genes.

Conclusions

No strain was resistant to tigecycline (MIC ≥ 8 µg ml⁻¹). Twenty‐four sequence types were identified, with ST11 being the most common type.

Significance and Impact of the Study

Clinicians and infection control experts should be aware of CRKP prevalence to facilitate clinical treatment and improve nosocomial infection control.

AB0054 SYNOVIAL CD163+ MACROPHAGES ARE ASSOCIATED WITH RADIOGRAPHIC JOINT DESTRUCTION IN RHEUMATOID ARTHRITIS

Background:

CD163, a hemoglobin scavenger receptor, has been identified as a marker of M2 macrophages, it can promote the release of IL-10 and carbon oxide. Researches on inflammatory diseases and tumors have suggested that CD163 plays anti-inflammatory effect and promotes tumor growth and metastasis. Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by chronic synovitis with inflammatory cells infiltration including considerable macrophages. However, little is known about the role of CD163+ macrophages in RA synovium.

Objectives:

To investigate the expression and clinical significance of synovial CD163+ macrophages in RA.

Methods:

Seventy-five RA patients were recruited and clinical data including disease activity, HAQ and Sharp/van der Heijde-modified Sharp score of bilateral hands and wrists were collected. Synovial tissues were obtained by needle biopsies or arthroscopy of knee joints. Eighteen osteoarthritis (OA) and seventeen orthopedic arthropathies (orth.A) patients were included as controls. All synovium were stained with H&E and immunohistochemically for CD163, CD3, CD20, CD38, CD68, and CD15. Histologic changes of synovitis in H&E stained sections were graded with Krenn’s synovitis score.

Results:

Positive CD163 expression were found in both lining synoviocytes and sublining inflammatory cells. Both densities of lining and sublining CD163+ macrophages in RA synovium were significantly higher than that in OA or Orth.A synovium (140.47±66.93 vs. 17.85±7.70 vs. 19.76±5.26 and 417.92±249.62 vs. 27.58±14.19 vs. 29.87±9.33, allP<0.001, Figure 1).

According to Krenn’s synovitis score, there were 68% RA patients showing high synovitis (score>4). Both lining and sublining synovial CD163+ macrophages were significantly higher than those showing low synovitis (lining: 158.40±62.91 vs. 122.06±66.74, sublining: 462.96±62.91 vs. 371.65±271.54, bothP<0.05). Meanwhile, the densities of lining and sublining CD163+ macrophages were both positively correlated with Krenn’s synovitis score (r=0.238 and 0.343, bothP<0.05).

For clinical relationship in RA, the density of sublining CD163+ macrophages was positively correlated with total Sharp score (mTSS) (r=0.399,P<0.001), joint space narrowing subscore (r=0.248,P=0.032) and joint erosion subscore (r=0.457,P<0.001). While the density of lining CD163+ macrophages was positively correlated with mTSS (r=0.319,P=0.005) and joint erosion subscore (r=0.358,P=0.002). Meanwhile, the densities of sublining and lining CD68+ macrophages were also positively correlated with mTSS (r=0.253 and 0.242, bothP<0.05), of which the correlation was weaker than that of CD163+ macrophages (Figure 2). There were no significant correlation between the density of CD163+ macrophages and disease activity or HAQ (allP>0.05).

Conclusion:

Synovial CD163+ macrophages are associated with radiographic joint destruction, which imply that CD163+ macrophages may play role in the pathogenisis of joint destruction in RA.

Figure 1.

Representative immunohistochemical findings of synovial CD163 expression. (A) Synovial CD163 expression in an Orth.A patient, an OA patient and a RA patient. (B) Densities of lining and sublining CD163+ macrophages in Orth.A, OA and RA patients.

Figure 2.

Spearman’s rank correlation analysis for synovial macrophages and mTSS in RA. (A) Correlation between sublining CD163+ macrophages and mTSS, joint space narrowing subscore, joint erosion subscore. (B) Correlation between lining CD163+ macrophages and mTSS, joint space narrowing subscore, joint erosion subscore.

Funding: :

This work was supported by National Natural Science Foundation of China (no. 81801606 and 81971527), Guangdong Natural Science Foundation (no. 2017A030313576, 2018A030313541 and 2019A1515011928).

Figures:

Disclosure of Interests:

None declared

Asperosaponin VI Injection Enhances Orthodontic Tooth Movement in Rats

Background

This study was performed to investigate the effect of local injection of asperosaponin VI (ASA VI) on the orthodontic tooth movement in rats.

Material/Methods

A total of 64 healthy female Sprague-Dawley rats were selected and divided into 2 groups randomly: the ASA VI group and the control group. For the ASA VI group, 10 mg/kg ASA VI solution was injected into buccal submucoperiosteal of bilaterally first maxillary molars, and the same volume of normal saline was given to the control group. The orthodontic force was applied to the maxillary first molars. All rats were sacrificed on days 3, 7, or 14. Tooth movement effects on the periodontium were analyzed through hematoxylin and eosin (H&E) staining, tartrate-resistant acid phosphatase (TRAP) staining and immunohistochemistry analysis. Tooth movement measurements and alveolar bone volumetric changes were analyzed using a micro-computed tomography (CT) scan. Molecular changes were evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) and western blot.

Results

The ASA VI group presented with a significant increase of tooth movement, osteoclast number, and the expression of osteoclast differentiation factor (ODF) compared with the control group. ASA VI also induced a significant decrease in bone volume and density and an increase in trabecular spacing and RANKL (receptor activator of nuclear factor kappa-B ligand) expression at the compression side. Furthermore, ASA VI stimulated bone formation on the tension side by enhancing OCN (osteocalcin) expression and RUNX2 (runt-related transcription factor 2) expression, increasing bone volume and density and decreasing in trabecular spacing.

Conclusions

Injection of ASA VI may accelerate tooth movement via increasing the activity of osteoclasts, stimulating bone resorption at the compression side. Furthermore, ASA VI has a positive effect on bone formation at the tension side.

Resveratrol rescues TNF‑α‑induced inhibition of osteogenesis in human periodontal ligament stem cells via the ERK1/2 pathway

Periodontitis is a common inflammatory disorder affecting the tissues surrounding the teeth, which can lead to the destruction of periodontal tissue and tooth loss. Resveratrol, a natural phytoalexin, exerts multiple biological effects. For example, its anti-inflammatory activity has been widely studied for the treatment of inflammatory bowel disease for a number of years. However, its effect on bone repair and new bone formation in an inflammatory microenvironment is not well understood. Accordingly, the effect of resveratrol on inflammation-affected human periodontal ligament stem cells (hPDLSCs) requires further investigation. In the present study, the effect of tumor necrosis factor-α (TNF-α), resveratrol, or the combination of both on the osteogenic differentiation of hPDLSCs, as well as the underlying mechanisms involved, were investigated. Cell Counting Kit-8 assay, alkaline phosphatase staining, Alizarin red staining, Oil Red O staining, reverse transcription-quantitative PCR and western blotting were used in the present study. It was demonstrated that resveratrol enhanced hPDLSC osteogenesis and reversed the inhibitory effects of TNF-α on this process. Further mechanistic studies indicated that resveratrol exerted anti-inflammatory activity by activating the ERK1/2 pathway, decreasing the secretion of interleukin (IL)-6 and IL-8 induced by TNF-α, and enhancing hPDLSCs osteogenesis. The present study suggested that resveratrol may be a novel and promising therapeutic choice for periodontitis.