Publications by authors named "Yuhan Zhou"

52 Publications

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.

IEEE Trans Neural Syst Rehabil Eng 2021 Sep 6;PP. Epub 2021 Sep 6.

Sleep stage classification is essential for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performance, several challenges remain open: 1) How to effectively utilize time-varying spatial and temporal features from multi-channel brain signals remains challenging. Prior works have not been able to fully utilize the spatial topological information among brain regions. 2) Due to the many differences found in individual biological signals, how to overcome the differences of subjects and improve the generalization of deep neural networks is important. 3) Most deep learning methods ignore the interpretability of the model to the brain. To address the above challenges, we propose a multi-view spatial-temporal graph convolutional networks (MSTGCN) with domain generalization for sleep stage classification. Specifically, we construct two brain view graphs for MSTGCN based on the functional connectivity and physical distance proximity of the brain regions. The MSTGCN consists of graph convolutions for extracting spatial features and temporal convolutions for capturing the transition rules among sleep stages. In addition, attention mechanism is employed for capturing the most relevant spatial-temporal information for sleep stage classification. Finally, domain generalization and MSTGCN are integrated into a unified framework to extract subject-invariant sleep features. Experiments on two public datasets demonstrate that the proposed model outperforms the state-of-the-art baselines.
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http://dx.doi.org/10.1109/TNSRE.2021.3110665DOI Listing
September 2021

PM exposure and maternal glucose metabolism in early pregnancy: Associations and potential mediation of 25-hydroxyvitamin D.

Ecotoxicol Environ Saf 2021 Aug 17;224:112645. Epub 2021 Aug 17.

Global Health Institute, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China. Electronic address:

Gestational diabetes mellitus (GDM) has become a new global epidemic with a rapidly increasing prevalence. Previous studies have suggested that air pollution is associated with GDM risk, but the results are inconsistent, and mechanistic studies are limited. Based on a hospital-based cohort, a total of 6374 participants were included in this study. Individual daily PM exposure at a 1-km resolution was predicted using a full-spatiotemporal-coverage model. The results of multiple linear regression showed that glycated hemoglobin (HbA1c) was significantly associated with PM both in the 1-month preconception and in the first trimester of pregnancy. Additionally, HbA1c decreased 0.437% (95% CI: -0.629, -0.244) as the serum 25-hydroxyvitamin D (25(OH)D) increased by one interquartile range (IQR) (9.2 ng/ml). An IQR increase in PM exposure was also negatively associated with serum 25(OH)D (estimated change% and 95% CI: -7.249 (-9.054, -5.408) in the 1-month preconception and - 13.069 (-15.111, -10.979) in the first trimester of pregnancy). Mediation analysis showed that serum 25(OH)D status mediated the association between HbA1c and PM exposure both in the preconception and in the first trimester (mediated percent: 2.00% and 4.05% (Sobel p<0.001), respectively). The result suggested a vicious cycle among PM exposure, lower serum VD status and a higher HbA1c. More studies are warranted since the protective effect of 25(OH)D against glucose disorders associated with air pollution in this study was limited.
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http://dx.doi.org/10.1016/j.ecoenv.2021.112645DOI Listing
August 2021

Intrauterine antibiotic exposure affected neonatal gut bacteria and infant growth speed.

Environ Pollut 2021 Aug 5;289:117901. Epub 2021 Aug 5.

Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China. Electronic address:

Although abundant evidence has suggested that early-life antibiotic exposure was associated with adipogenesis later in life, limited data were available on the effect of intrauterine antibiotic exposure on infant growth and growth speed. Additionally, few studies have investigated the role of the neonatal gut microbiota in the above association. In this study, we examined the association between intrauterine cumulative antibiotic exposure and infant growth and explored the potential role of the neonatal gut microbiota in the association. 295 mother-child pairs from the Shanghai Maternal-Child Pairs Cohort (MCPC) study were included, and meconium samples and infant growth measurements were assessed. Z-scores of length-for-age, weight-for-age (weight-for-age), and body mass index (BMI)-for-age (BMI-for-age) were calculated. Eighteen common antibiotics were measured in meconium. Multivariable linear regression models were applied to test the interrelationships between antibiotic exposure, diversity indicators, and the relative abundance of selected bacterial taxa from phylum to genus levels from least absolute shrinkage and selection operator (LASSO) and infant growth indicators. The detection rates of the 18 antibiotics, except for chlortetracycline, penicillin, and chloramphenicol, were below 10 %. Penicillin was found to be positively associated with infant growth at birth and with growth speed from 2 to 6 months. The Pielou and Simpson indexes were negatively associated with meconium penicillin. Nominally significant associations between penicillin and the relative abundances of several bacterial taxa from the phyla Proteobacteria, Bacteroidetes, and Firmicutes were found. The Pielou and Simpson indexes were also found to be negatively associated with infant growth. Among taxa selected from LASSO regression, the relative abundances of the phyla Actinobacteria and Firmicutes and order Bifidobacteriales were found to be significantly associated with weight and BMI growth speeds from 2 to 6 months. In conclusion, intrauterine antibiotic exposure can affect infant growth. The neonatal gut microbiota might play a role in the abovementioned association.
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http://dx.doi.org/10.1016/j.envpol.2021.117901DOI Listing
August 2021

Palladium-Catalyzed Asymmetric Trifluoromethylated Allylic Alkylation of Pyrazolones Enabled by α-(Trifluoromethyl)alkenyl Acetates.

Org Lett 2021 Aug 19;23(15):5804-5808. Epub 2021 Jul 19.

State Key Laboratory of Fine Chemicals, Department of Pharmaceutical Sciences, School of Chemical Engineering, Dalian University of Technology, 2 Linggong Road, Dalian 116024, China.

The first asymmetric trifluoromethylated allylic alkylation of pyrazolones using α-(trifluoromethyl)alkenyl acetates as a novel trifluoromethylated allylation reagent is described, affording various functionalized chiral pyrazolones containing a trifluoromethylated allyl substituent in high yields with excellent regio-/enantio-/diastereoselectivities. Mechanistically, the double-bond migration of α-(trifluoromethyl)alkenyl acetates in the presence of 1,8-diazabicyclo[5.4.0]undec-7-ene is initial and interesting step. More importantly, this study is of significance in providing a novel and widely applicable trifluoromethyl-containing allylation reagent.
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http://dx.doi.org/10.1021/acs.orglett.1c01957DOI Listing
August 2021

Utilizing single-cell RNA sequencing for analyzing the characteristics of PBMC in patients with Kawasaki disease.

BMC Pediatr 2021 06 14;21(1):277. Epub 2021 Jun 14.

The Department of Pediatric Cardiology, Shenzhen Children's Hospital of China Medical University, Shenzhen, 518038, China.

Background: Kawasaki disease (KD) is the main cause of acquired heart disease in children and can lead to coronary artery lesions. This present study was designed to analyze the characteristics of KD peripheral blood mononuclear cells (PBMC) through single-cell RNA sequencing (scRNA-seq) and to explore the potential molecular mechanism of KD.

Methods: PBMC was collected from one healthy child and one KD patient, and was used to single-cell RNA sequencing for cell clusters identification and differently expressed gene (DEG) determination. GO function enrichment analysis of DEG in B cell and T cells were performed to explore the most active biological function in KD immune cells.

Results: Twelve cell clusters can be identified in two samples. Compared with healthy child, naive CD8+ T cell, T helper cell and B cell in KD child were decreased, mainly immune-related T cells, and natural killer T (NKT) cell were increased. Cell activation, lymphocyte activation and regulation of immune system process were 3 GO function shared by all four types of T cells and B cell.

Conclusions: Immune cell disorder appears in the KD patient at single cell level by scRNA-seq.
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http://dx.doi.org/10.1186/s12887-021-02754-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201934PMC
June 2021

Cyan Broad-Band Emission Phosphor with Scandium Silicon Multiple-Ring Structure for White Light-Emitting Diodes and Field Emission Displays.

Inorg Chem 2021 Jun 7;60(12):8870-8879. Epub 2021 Jun 7.

Department of Materials Science, School of Physical Science and Technology, Key Laboratory of Special Function Materials and Structure Design of Ministry of Education, National and Local Joint Engineering Laboratory for Optical Conversion Materials and Technology of National Development and Reform Commission, Lanzhou University, Lanzhou 730000, P. R. China.

Silicate phosphor KBaScSiO:Ce (KBSS:Ce), as a novel material, has been prepared by the solid-state method in this study. The crystal structure, luminescent properties, thermal stability, and cathodoluminescence (CL) properties of this material were analyzed systematically. It concludes that the phosphor can emit cyan light with emission peak at 509 nm under n-UV light excitation (300-400 nm). By coating KBSS:Ce with a red-emitting CaAlSiN:Eu on a n-UV (365 nm) light-emitting diode (LED) chip, the intense warm white light with high (83.4) and low CCT (3652) can be produced under a 350 mA forward bias current.In addition, the CL performance shows that KBSS:0.10Ce has high saturation current and voltage and good color stability under low voltage conditions. All these results indicate that KBSS:Ce phosphor will be very promising in LED and field emission display applications.
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http://dx.doi.org/10.1021/acs.inorgchem.1c00773DOI Listing
June 2021

Effects of Rice Straw Powder (RSP) Size and Pretreatment on Properties of FDM 3D-Printed RSP/Poly(Lactic Acid) Biocomposites.

Molecules 2021 May 27;26(11). Epub 2021 May 27.

College of Science, Nanjing Forestry University, Nanjing 210037, China.

To develop a new kind of environment-friendly composite filament for fused deposition modeling (FDM) 3D printing, rice straw powder (RSP)/poly(lactic acid) (PLA) biocomposites were FDM-3D-printed, and the effects of the particle size and pretreatment of RSP on the properties of RSP/PLA biocomposites were investigated. The results indicated that the 120-mesh RSP/PLA biocomposites (named 120#RSP/PLA) showed better performance than RSP/PLA biocomposites prepared with other RSP sizes. Infrared results showed that pretreatment of RSP by different methods was successful, and scanning electron microscopy indicated that composites prepared after pretreatment exhibited good interfacial compatibility due to a preferable binding force between fiber and matrix. When RSP was synergistically pretreated by alkaline and ultrasound, the composite exhibited a high tensile strength, tensile modulus, flexural strength, and flexural modulus of 58.59, 568.68, 90.32, and 3218.12 MPa, respectively, reflecting an increase of 31.19%, 16.48%, 18.75%, and 25.27%, respectively, compared with unmodified 120#RSP/PLA. Pretreatment of RSP also improved the thermal stability and hydrophobic properties, while reducing the water absorption of 120#RSP/PLA. This work is believed to provide highlights of the development of cost-effective biocomposite filaments and improvement of the properties of FDM parts.
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http://dx.doi.org/10.3390/molecules26113234DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197895PMC
May 2021

Prenatal exposure to ambient fine particulate matter and early childhood neurodevelopment: A population-based birth cohort study.

Sci Total Environ 2021 Sep 24;785:147334. Epub 2021 Apr 24.

Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China. Electronic address:

Although previous studies have reported the adverse effect of air pollution exposure during pregnancy on neurodevelopment in children, epidemiological evidence is limited, and the results are inconsistent. This study aimed to explore the association between prenatal ambient fine particulate matter (PM) exposure and early childhood neurodevelopment in a large birth cohort study of 4009 maternal-child pairs. Prenatal daily PM exposure concentrations at 1 km spatial revolution were estimated using high-performance machine-learning models. Neurodevelopmental outcomes of children at ages 2, 6, 12, and 24 months were assessed using the Ages and Stages Questionnaire (ASQ). Distributed lag nonlinear models were used to identify critical windows of prenatal PM exposure. General linear mixed models with binomially distributed errors were used to estimate the effect of prenatal PM exposure on suspected developmental delay (SDD) in five developmental domains based on the longitudinal design. Prenatal PM exposure was significantly associated with decreased scores for all neurodevelopmental domains of children at ages 2, 6, and 24 months. Each 10-μg/m increase in PM exposure was significantly associated with increased risk of SDD for all subjects (RR: 1.52 95% CI: 1.19, 2.03), specifically, in problem-solving domain for girls (RR: 2.23, 95% CI: 1.22, 4.35). Prenatal PM exposure in weeks 18 to 34 was significantly associated with both ASQ scores and SDDs. Our study proposed that prenatal PM exposure affected early childhood neurodevelopment evaluated with the ASQ scale. PM exposure might increase the risk of SDD for boys and girls, specifically in the problem-solving domain for girls.
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http://dx.doi.org/10.1016/j.scitotenv.2021.147334DOI Listing
September 2021

Prenatal fine particulate matter exposure, placental DNA methylation changes, and fetal growth.

Environ Int 2021 02 17;147:106313. Epub 2020 Dec 17.

Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China. Electronic address:

This study was designed to examine the impact of prenatal fine particulate matter (PM) exposure on fetal growth and the underlying placental epigenetic mechanism in a cohort of Chinese women. Within the prospective Shanghai Mother-Child Pairs cohort (Shanghai MCPC), 329 women carrying singleton pregnancy with a due date in 2018 were recruited between 2017 and 2018. Maternal PM exposure levels were estimated using gestational exposure prediction model combining satellite-driven ambient concentrations and personal air sampling. Fetal growth characteristics were evaluated by prenatal ultrasound examinations and anthropometric measurements at birth. In a discovery phase, whole-genome DNA methylation analysis was performed using the Infinium 850 K array. In a validation phase, placental DNA methylation was measured using bisulfite pyrosequencing for five candidate genes that showed the most significant alterations and function relevance in our methylation array screen, including BID (BH3 interacting domain death agonist), FOXN3 (Forkhead box N3), FOXP1 (Forkhead box P1), IGF2 (Insulin-like growth factor 2) and HSD11B2 (Hydroxysteroid 11-beta dehydrogenase 2). Multivariate linear regression models were applied to examine the associations among PM exposure, fetal growth characteristics and DNA methylation on placental candidate genes. Sobel tests were used to evaluate the mediating role of DNA methylation in multivariable models. After excluding women who withdrew or failed to provide placenta, a total of 287 pregnant women with an average age of 30 entered the final analysis. Increased PM exposure was significantly associated with reduced biparietal diameter (BPD) (β: -0.136 mm, 95% CI: -0.228 to -0.043), head circumference (HC) (β: -0.462 mm, 95% CI: -0.782 to -0.142), femur length (FL) (β: -0.113 mm, 95% CI: -0.185 to -0.041) and abdominal circumference (AC) (β: -0.371 mm, 95% CI: -0.672 to -0.071) in the second trimester and birth length (β: -0.013 cm, 95% CI: -0.025 to -0.001). Prenatal PM exposure could lead to aberrant changes in DNA methylation profile of placenta genome, which were mainly enriched in reproductive development, energy metabolism and immune response. DNA methylation of IGF2 and BID showed significant associations with PM exposures during all exposure windows. In addition, BID methylation was negatively correlated with HC (β: -1.396 mm, 95% CI: -2.582 to -0.209) and BPD (β: -0.330 mm, 95% CI: -0.635 to -0.026) in the second trimester. Further mediation analysis indicated that BID methylation mediated about 30% of the effects of PM exposure on HC. These findings collectively suggested that prenatal PM exposure may cause adverse effects on fetal growth by modifying placental DNA methylation.
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http://dx.doi.org/10.1016/j.envint.2020.106313DOI Listing
February 2021

Risk Factors for Patient-Ventilator Asynchrony and Its Impact on Clinical Outcomes: Analytics Based on Deep Learning Algorithm.

Front Med (Lausanne) 2020 25;7:597406. Epub 2020 Nov 25.

Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Patient-ventilator asynchronies (PVAs) are common in mechanically ventilated patients. However, the epidemiology of PVAs and its impact on clinical outcome remains controversial. The current study aims to evaluate the epidemiology and risk factors of PVAs and their impact on clinical outcomes using big data analytics. The study was conducted in a tertiary care hospital; all patients with mechanical ventilation from June to December 2019 were included for analysis. Negative binomial regression and distributed lag non-linear models (DLNM) were used to explore risk factors for PVAs. PVAs were included as a time-varying covariate into Cox regression models to investigate its influence on the hazard of mortality and ventilator-associated events (VAEs). A total of 146 patients involving 50,124 h and 51,451,138 respiratory cycles were analyzed. The overall mortality rate was 15.6%. Double triggering was less likely to occur during day hours (RR: 0.88; 95% CI: 0.85-0.90; < 0.001) and occurred most frequently in pressure control ventilation (PCV) mode (median: 3; IQR: 1-9 per hour). Ineffective effort was more likely to occur during day time (RR: 1.09; 95% CI: 1.05-1.13; < 0.001), and occurred most frequently in PSV mode (median: 8; IQR: 2-29 per hour). The effect of sedatives and analgesics showed temporal patterns in DLNM. PVAs were not associated mortality and VAE in Cox regression models with time-varying covariates. Our study showed that counts of PVAs were significantly influenced by time of the day, ventilation mode, ventilation settings (e.g., tidal volume and plateau pressure), and sedatives and analgesics. However, PVAs were not associated with the hazard of VAE or mortality after adjusting for protective ventilation strategies such as tidal volume, plateau pressure, and positive end expiratory pressure (PEEP).
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http://dx.doi.org/10.3389/fmed.2020.597406DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724969PMC
November 2020

Cumulative oxygen deficit is a novel predictor for the timing of invasive mechanical ventilation in COVID-19 patients with respiratory distress.

PeerJ 2020 27;8:e10497. Epub 2020 Nov 27.

Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Background And Objectives: The timing of invasive mechanical ventilation (IMV) is controversial in COVID-19 patients with acute respiratory hypoxemia. The study aimed to develop a novel predictor called cumulative oxygen deficit (COD) for the risk stratification.

Methods: The study was conducted in four designated hospitals for treating COVID-19 patients in Jingmen, Wuhan, from January to March 2020. COD was defined to account for both the magnitude and duration of hypoxemia. A higher value of COD indicated more oxygen deficit. The predictive performance of COD was calculated in multivariable Cox regression models.

Results: A number of 111 patients including 80 in the non-IMV group and 31 in the IMV group were included. Patients with IMV had substantially lower PaO (62 (49, 89) vs. 90.5 (68, 125.25) mmHg; < 0.001), and higher COD (-6.87 (-29.36, 52.38) vs. -231.68 (-1040.78, 119.83) mmHg·day) than patients without IMV. As compared to patients with COD < 0, patients with COD > 30 mmHg·day had higher risk of fatality (HR: 3.79, 95% CI [2.57-16.93]; = 0.037), and those with COD > 50 mmHg·day were 10 times more likely to die (HR: 10.45, 95% CI [1.28-85.37]; = 0.029).

Conclusions: The study developed a novel predictor COD which considered both magnitude and duration of hypoxemia, to assist risk stratification of COVID-19 patients with acute respiratory distress.
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http://dx.doi.org/10.7717/peerj.10497DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703393PMC
November 2020

Antimicrobial activity and biosynthetic potential of cultivable actinomycetes associated with Lichen symbiosis from Qinghai-Tibet Plateau.

Microbiol Res 2021 Mar 1;244:126652. Epub 2020 Dec 1.

Shaanxi Key Laboratory of Natural Products & Chemical Biology, College of Chemistry & Pharmacy, Northwest A&F University, 3 Taicheng Road, Yangling, 712100, Shaanxi, China.

Actinobacteria that inhabit lichen symbionts are considered a promising yet previously underexplored source of novel compounds. Here, for the first time, we conducted a comprehensive investigation with regard to strain isolation and identification of lichen-associated actinobacteria from Tibet Plateau, antimicrobial activity screening, biosynthetic genes detection, bioactive metabolites identification and activity prediction. A large number of culturable actinomycetes were isolated from lichens around Qinghai Lake, in Qinghai-Tibet Plateau. Twenty-seven strains with distinct morphological characteristics were preliminarily studied. 16S rRNA gene identification showed that 13 strains were new species. The PCR-screening of specific biosynthetic genes indicated that these 27 isolates had abundant intrinsic biosynthetic potential. The antimicrobial activity experiment screened out some potential biological control antagonistic bacteria. The metabolites of 13 strains of Streptomyces with antibacterial activity were analyzed by LC-HRMS, and further 18 compounds were identified by NMR and / or LC-HRMS. The identified compounds were mainly pyrrolidine and indole derivatives, as well as anthracyclines. Seven compounds were identified with less biological activity, then predicted and evaluated their biological activity. The predicted results showed that compound 2 had excellent inhibitory activity on HIV-1 reverse transcriptase. Overall, the results indicate actinobacteria isolated from unexploited plateau lichen are promising sources of biological active metabolite, which could provide important bioactive compounds as potential antibiotic drugs.
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http://dx.doi.org/10.1016/j.micres.2020.126652DOI Listing
March 2021

Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.

Sensors (Basel) 2020 Dec 7;20(23). Epub 2020 Dec 7.

Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands.

Falls are the leading cause of mortality, morbidity and poor quality of life in older adults with or without neurological conditions. Applying machine learning (ML) models to gait analysis outcomes offers the opportunity to identify individuals at risk of future falls. The aim of this study was to determine the effect of different data pre-processing methods on the performance of ML models to classify neurological patients who have fallen from those who have not for future fall risk assessment. Gait was assessed using wearables in clinic while walking 20 m at a self-selected comfortable pace in 349 (159 fallers, 190 non-fallers) neurological patients. Six different ML models were trained on data pre-processed with three techniques such as standardisation, principal component analysis (PCA) and path signature method. Fallers walked more slowly, with shorter strides and longer stride duration compared to non-fallers. Overall, model accuracy ranged between 48% and 98% with 43-99% sensitivity and 48-98% specificity. A random forest (RF) classifier trained on data pre-processed with the path signature method gave optimal classification accuracy of 98% with 99% sensitivity and 98% specificity. Data pre-processing directly influences the accuracy of ML models for the accurate classification of fallers. Using gait analysis with trained ML models can act as a tool for the proactive assessment of fall risk and support clinical decision-making.
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http://dx.doi.org/10.3390/s20236992DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729621PMC
December 2020

Identification and Description of a New Pathogen Causing Flower Dry Rot on in China.

Plant Dis 2021 Aug 5:PDIS10202130RE. Epub 2021 Aug 5.

Guangdong Ocean University, Zhanjiang, Guangdong 524088, China.

Sims (passion fruit) is an economically important fruit crop. However, a new flower dry rot has occurred in orchards located in Zhanjiang, China, and has led to serious production loss. Its disease incidence is approximately 30 to 40%. A total of 221 isolates of sp. were obtained from samples of three types of symptomatic flowers. Three representative single-spore isolates (PaB-1, PaB-2, and PaB-3) from each type were used for pathogenicity tests, multilocus phylogenetic analyses, and morphological descriptions. Pathogenicity tests of buds of 5-month-old plants showed symptoms similar to those observed in nature, and Koch's postulates were achieved. By comparing 36 typical species from the -ID database, multilocus phylogenetic analyses showed that the sequences of , , and ITS of these isolates belong to the clade of the species complex (FIESC-17-a) with an independent branch. Therefore, the pathogenic isolates were identified as (FIESC-17-a). Moreover, in this study, the conidial anastomosis tubes were first observed in the FIESC. This is the first report of flower dry rot on caused by . Further studies should be performed to determine effective disease management strategies.
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http://dx.doi.org/10.1094/PDIS-10-20-2130-REDOI Listing
August 2021

Inhibiting the P2X4 Receptor Suppresses Prostate Cancer Growth In Vitro and In Vivo, Suggesting a Potential Clinical Target.

Cells 2020 11 20;9(11). Epub 2020 Nov 20.

The Mellanby Centre for Bone Research, Department of Oncology and Metabolism, The University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK.

Prostate cancer (PCa) is the most frequently diagnosed cancer in men, causing considerable morbidity and mortality. The P2X4 receptor (P2X4R) is the most ubiquitously expressed P2X receptor in mammals and is positively associated with tumorigenesis in many cancer types. However, its involvement in PCa progression is less understood. We hypothesized that P2X4R activity enhanced tumour formation by PCa cells. We showed that P2X4R was the most highly expressed, functional P2 receptor in these cells using quantitative reverse transcription PCR (RT-PCR) and a calcium influx assay. The effect of inhibiting P2X4R on PCa (PC3 and C4-2B4 cells) viability, proliferation, migration, invasion, and apoptosis were examined using the selective P2XR4 antagonists 5-BDBD and PSB-12062. The results demonstrated that inhibiting P2X4R impaired the growth and mobility of PCa cells but not apoptosis. In BALB/c immunocompromised nude mice inoculated with human PC3 cells subcutaneously, 5-BDBD showed anti-tumourigenic effects. Finally, a retrospective analysis of expression in clinical datasets (GDS1439, GDS1746, and GDS3289) suggested that P2X4R was positively associated with PCa malignancy. These studies suggest that P2X4R has a role in enhancing PCa tumour formation and is a clinically targetable candidate for which inhibitors are already available and have the potential to suppress disease progression.
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http://dx.doi.org/10.3390/cells9112511DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699771PMC
November 2020

Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data.

Front Med (Lausanne) 2020 21;7:541. Epub 2020 Aug 21.

Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Lung mechanics during invasive mechanical ventilation (IMV) for both prognostic and therapeutic implications; however, the full trajectory lung mechanics has never been described for novel coronavirus disease 2019 (COVID-19) patients requiring IMV. The study aimed to describe the full trajectory of lung mechanics of mechanically ventilated COVID-19 patients. The clinical and ventilator setting that can influence patient-ventilator asynchrony (PVA) and compliance were explored. Post-extubation spirometry test was performed to assess the pulmonary function after COVID-19 induced ARDS. This was a retrospective study conducted in a tertiary care hospital. All patients with IMV due to COVID-19 induced ARDS were included. High-granularity ventilator waveforms were analyzed with deep learning algorithm to obtain PVAs. Asynchrony index (AI) was calculated as the number of asynchronous events divided by the number of ventilator cycles and wasted efforts. Mortality was recorded as the vital status on hospital discharge. A total of 3,923,450 respiratory cycles in 2,778 h were analyzed (average: 24 cycles/min) for seven patients. Higher plateau pressure (Coefficient: -0.90; 95% CI: -1.02 to -0.78) and neuromuscular blockades (Coefficient: -6.54; 95% CI: -9.92 to -3.16) were associated with lower AI. Survivors showed increasing compliance over time, whereas non-survivors showed persistently low compliance. Recruitment maneuver was not able to improve lung compliance. Patients were on supine position in 1,422 h (51%), followed by prone positioning (499 h, 18%), left positioning (453 h, 16%), and right positioning (404 h, 15%). As compared with supine positioning, prone positioning was associated with 2.31 ml/cmHO (95% CI: 1.75 to 2.86; < 0.001) increase in lung compliance. Spirometry tests showed that pulmonary functions were reduced to one third of the predicted values after extubation. The study for the first time described full trajectory of lung mechanics of patients with COVID-19. The result showed that prone positioning was associated with improved compliance; higher plateau pressure and use of neuromuscular blockades were associated with lower risk of AI.
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http://dx.doi.org/10.3389/fmed.2020.00541DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472529PMC
August 2020

Draft Genome Sequence of Streptomyces morookaense DSM 40503, an 8-Azaguanine-Producing Strain.

Microbiol Resour Announc 2020 Jul 30;9(31). Epub 2020 Jul 30.

Shaanxi Key Laboratory of Natural Products & Chemical Biology, College of Chemistry & Pharmacy, Northwest A&F University, Yangling, Shaanxi, China

Here, we describe the genome of DSM 40503, an 8-azaguanine-producing strain. The genome is the basis for future study and presents an underexplored taxonomy and biosynthetic potential, which expands our understanding of the diversity of microorganisms that produce nitrogen heterocyclic compounds.
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http://dx.doi.org/10.1128/MRA.00518-20DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393960PMC
July 2020

Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.

Sensors (Basel) 2020 Jul 23;20(15). Epub 2020 Jul 23.

Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands.

Neurological patients can have severe gait impairments that contribute to fall risks. Predicting falls from gait abnormalities could aid clinicians and patients mitigate fall risk. The aim of this study was to predict fall status from spatial-temporal gait characteristics measured by a wearable device in a heterogeneous population of neurological patients. Participants ( = 384, age 49-80 s) were recruited from a neurology ward of a University hospital. They walked 20 m at a comfortable speed (single task: ST) and while performing a dual task with a motor component (DT1) and a dual task with a cognitive component (DT2). Twenty-seven spatial-temporal gait variables were measured with wearable sensors placed at the lower back and both ankles. Partial least square discriminant analysis (PLS-DA) was then applied to classify fallers and non-fallers. The PLS-DA classification model performed well for all three gait tasks (ST, DT1, and DT2) with an evaluation of classification performance Area under the receiver operating characteristic Curve (AUC) of 0.7, 0.6 and 0.7, respectively. Fallers differed from non-fallers in their specific gait patterns. Results from this study improve our understanding of how falls risk-related gait impairments in neurological patients could aid the design of tailored fall-prevention interventions.
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http://dx.doi.org/10.3390/s20154098DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435707PMC
July 2020

Organic UV filter exposure and pubertal development: A prospective follow-up study of urban Chinese adolescents.

Environ Int 2020 10 14;143:105961. Epub 2020 Jul 14.

Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong Special Administrative Region; HKBU Institute of Research and Continuing Education, Shenzhen Virtual University Park, Shenzhen, China. Electronic address:

Background: UV filters, widely used in personal care and industrial products, are being found in the environment and, in humans where with limited understanding on their potential health effects, especially during puberty.

Objectives: To examine the association between UV filter exposure and pubertal development in a prospective follow-up study.

Methods: This study included 521 elementary and high school students from a suburban area of Shanghai. The initial study was done in October to November 2011; the follow-up study in April to May 2013. Twelve urinary organic UV filters were quantified, and the pubertal development was assessed at each study period by trained physicians using Tanner staging. We used (ordered) logistic regression model and multilevel mixed-effect (ordered) logistic regression model to assess cross-sectional and longitudinal effects between urinary concentration of five major UV filters and pubertal development of stages, onset and pace.

Results: Ethylhexyl methoxycinnamate (EHMC) and its metabolite 4'-methoxyacetophenone (4'-MAP), two benzophenone derivatives (BP-2, BP-3) and Ethylhexyl dimethyl PABA (OD-PABA) were the most extensively detected UV filters in urine with geometric means (95% CI) in 2010 and 2012 as 1.77 (1.599, 1.956) and 2.28 (1.985, 2.622) ng/mL for EHMC; 4.55 (4.219, 4.907) and 5.26 (4.783, 5.775) ng/mL for 4'-MAP; 4.38 (4.011, 4.774) and 5.74 (5.023, 6.562) ng/mL for BP-2; 0.83 (0.760, 0.903) and 1.09 (0.967, 1.220) ng/mL for BP-3; 5.37 (4.949, 5.820) and 5.80 (5.193, 6.486) pg/mL for OD-PABA. Significant trend P-values (P < 0.05) include: EHMC and its metabolite were negatively correlated with stages of testicular volume and genital development; BP-3 was also negatively correlated with stages of testicular volume in boys, while OD-PABA positively correlated with stages of pubic hair and breast development in girls. Also, EHMC was associated with later pubertal onset of pubic hair and testicular volumes in boys, while OD-PABA correlated with earlier pubertal onset of breast development in girls. OD-PABA also significantly speeded up the progression of pubic hair and breast development in girls.

Discussion: UV filters were extensively detected. Exposure to EHMC and BP-3 was significantly associated with later pubertal development in boys, and OD-PABA was associated with earlier pubertal development in girls. It demonstrates that the UV filters so widely used in personal care products and widely detected in environments are finding their way back into people where they are distorting endocrine function of adolescents.
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http://dx.doi.org/10.1016/j.envint.2020.105961DOI Listing
October 2020

Circulating metal concentrations, inflammatory cytokines and gestational weight gain: Shanghai MCPC cohort.

Ecotoxicol Environ Saf 2020 Aug 13;199:110697. Epub 2020 May 13.

Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China. Electronic address:

Objectives: Based on a prospective birth cohort, we aimed to investigate the associations between maternal circulating metals exposure and gestational weight gain (GWG) across pregnancy, and explore whether maternal inflammatory cytokines could contribute to the GWG changes associated with metals exposure.

Methods: A total of 234 pregnant women from the Shanghai Maternal-Child Pairs cohort were enrolled in this panel study. 547 blood and serum samples were collected from pregnant women during three follow-up visits, and the circulating concentrations of 27 metals were determined by using the ICP-MS method. Five inflammatory cytokines in serum samples were measured through multiplexed immunoassays. The linear mixed models were used to estimate the association between each ln-transformed metal concentration and GWG across pregnancy. Robust generalized linear regression models were used to estimate the associations among circulating metals, GWG, and inflammatory cytokines.

Results: The GWG during pregnancy was 13.76 ± 1.40 kg. The concentrations Co, Zn, Mo, B, Ag and Te in second or third trimesters were significantly higher than those in early second trimester. The concentration of Mg decreased with the increase of pregnant weeks and no significant statistical differences were found in the concentrations of other metals in different trimesters. Among the detected 26 metals, Li and Sr concentrations were positively associated with GWG in the third trimester. The GWG increased by 0.100 kg (95% CI 0.005, 0.195) and 0.120 kg (95% CI 0.009, 0.232) with each one ln-concentration increase in circulating Li and Sr concentrations, respectively. Concentrations of Li and Sr in the third trimester were positively associated with tumor necrosis factor-alpha (TNF-α) and interleukin (IL)-6, but negatively associated with growth differentiation factor-15 (GDF-15) significantly. Besides, IL-6 and GDF-15 levels were associated with the increase or decrease of overall pregnancy GWG, respectively.

Conclusions: Results showed that maternal exposure to Li and Sr were associated with increased GWG, in which maternal IL-6 and GDF-15 could contribute to the associations between metal exposures and GWG in pregnant women.
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http://dx.doi.org/10.1016/j.ecoenv.2020.110697DOI Listing
August 2020

The detection of age groups by dynamic gait outcomes using machine learning approaches.

Sci Rep 2020 03 10;10(1):4426. Epub 2020 Mar 10.

Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Prevalence of gait impairments increases with age and is associated with mobility decline, fall risk and loss of independence. For geriatric patients, the risk of having gait disorders is even higher. Consequently, gait assessment in the clinics has become increasingly important. The purpose of the present study was to classify healthy young-middle aged, older adults and geriatric patients based on dynamic gait outcomes. Classification performance of three supervised machine learning methods was compared. From trunk 3D-accelerations of 239 subjects obtained during walking, 23 dynamic gait outcomes were calculated. Kernel Principal Component Analysis (KPCA) was applied for dimensionality reduction of the data for Support Vector Machine (SVM) classification. Random Forest (RF) and Artificial Neural Network (ANN) were applied to the 23 gait outcomes without prior data reduction. Classification accuracy of SVM was 89%, RF accuracy was 73%, and ANN accuracy was 90%. Gait outcomes that significantly contributed to classification included: Root Mean Square (Anterior-Posterior, Vertical), Cross Entropy (Medio-Lateral, Vertical), Lyapunov Exponent (Vertical), step regularity (Vertical) and gait speed. ANN is preferable due to the automated data reduction and significant gait outcome identification. For clinicians, these gait outcomes could be used for diagnosing subjects with mobility disabilities, fall risk and to monitor interventions.
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http://dx.doi.org/10.1038/s41598-020-61423-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064519PMC
March 2020

Long-term unsupervised mobility assessment in movement disorders.

Lancet Neurol 2020 05 11;19(5):462-470. Epub 2020 Feb 11.

Department of Neurology, Kiel University, Kiel, Germany.

Mobile health technologies (wearable, portable, body-fixed sensors, or domestic-integrated devices) that quantify mobility in unsupervised, daily living environments are emerging as complementary clinical assessments. Data collected in these ecologically valid, patient-relevant settings can overcome limitations of conventional clinical assessments, as they capture fluctuating and rare events. These data could support clinical decision making and could also serve as outcomes in clinical trials. However, studies that directly compared assessments made in unsupervised and supervised (eg, in the laboratory or hospital) settings point to large disparities, even in the same parameters of mobility. These differences appear to be affected by psychological, physiological, cognitive, environmental, and technical factors, and by the types of mobilities and diagnoses assessed. To facilitate the successful adaptation of the unsupervised assessment of mobility into clinical practice and clinical trials, clinicians and researchers should consider these disparities and the multiple factors that contribute to them.
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http://dx.doi.org/10.1016/S1474-4422(19)30397-7DOI Listing
May 2020

The High Anisotropy of the Epitaxial Growth of the Well-Aligned SbSe Nanoribbons on Mica.

ACS Appl Mater Interfaces 2020 Feb 14;12(8):9909-9917. Epub 2020 Feb 14.

College of Physics and Energy , Fujian Normal University , Fuzhou 350117 , P. R. China.

One-dimensional semiconductor nanostructures, which are different from those of bulk materials, have attracted considerable interest in either scientific research or practical application. Herein, the SbSe nanoribbons have been successfully synthesized by the epitaxial growth process on mica using the rapid physical vapor deposition method. The density of the SbSe nanoribbons increased quickly when the temperature decreased, and finally, the nanoribbons connected to each other and formed a network structure even in film. These nanoribbons were all well aligned along the preferred direction that either is parallel to each other or forms 60° angles. Further structural investigation demonstrated that the SbSe nanoribbons grew along the [001] directions, which are aligned along the directions [11̅0] and [100] or [100] and [110] on the mica surface. Then, an asymmetric lattice mismatch growth mechanism causing incommensurate heteroepitaxial lattice match between the SbSe and mica crystal structure was suggested. Furthermore, a polarized photodetector based on the film with the well-aligned SbSe nanoribbons was constructed, which illustrated strong photosensitivity and high anisotropic in-plane transport either in the dark or under light. The incommensurate heteroepitaxial growth method shown here may provide access to realize well-ordered nanostructures of other inorganic materials and promote the anisotropic photodetector industrialization.
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http://dx.doi.org/10.1021/acsami.9b20142DOI Listing
February 2020

Mechanistic Insights into La-Catalyzed Amidation of Aldehyde with Amine.

Org Lett 2020 01 24;22(2):705-708. Epub 2019 Dec 24.

State Key Laboratory of Fine Chemicals, School of Chemical Engineering , Dalian University of Technology , Dalian 116024 , China.

A new mechanism of La-catalyzed amidation of -methylbenzylamine with -chlorobenzaldehyde has been computationally proposed, where LLa[NRR] () rather than previously proposed LLa[OCHRNRR] () is the catalytically active species. Interestingly, the side-product alcohol acting as a proton relay to reduce reaction energy barrier could participate in the regeneration of . Besides, DFT calculations suggest that an addition of alcohol additive into the initial reaction system could accelerate the reaction, which has been further verified by experiments.
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http://dx.doi.org/10.1021/acs.orglett.9b04445DOI Listing
January 2020

Prenatal vanadium exposure, cytokine expression, and fetal growth: A gender-specific analysis in Shanghai MCPC study.

Sci Total Environ 2019 Oct 14;685:1152-1159. Epub 2019 Jun 14.

Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China. Electronic address:

Increasing evidence supports that maternal exposure to vanadium (V) is associated with adverse birth outcomes including preterm birth and low birth weight. However, the effect of V exposure on intrauterine fetal growth and the underlying biological mechanism are still unclear. The present study includes 227 mother-infant pairs from the Shanghai Maternal-Child Pairs Cohort to assess the gender-specific effect of intrauterine V exposure on fetal growth and related cytokines. Maternal blood samples were collected to measure V concentration and biomarkers of growth. We used multiple linear regression to evaluate the gender-specific effect of prenatal V exposure on birth parameter and growth-related cytokines. Mixed-effect models were applied to assess the non-linear association between gestational V exposure and intrauterine fetal growth. Covariates adjusted in the regression models as potential confounders including maternal age, pre-pregnancy body mass index, gestational weeks, parity, socio-demographic status, etc. Results showed that prenatal V exposure was negatively associated with birth weight (β = -64.73) in female newborns and body length (β = -0.10) in male. During the fetal period, maternal V exposure was associated with decreased biparietal diameter (β = -0.91), head circumference (β = -2.96), femur length (β = -0.72) and humerus length (β = -0.64) in male. Trimester-specific analyses showed that serum V concentration in the second trimester was associated with significant reductions in intrauterine growth parameters. Besides, prenatal V exposure could down-regulate the expression of growth hormone (GH) in both maternal blood (β = -0.23) and umbilical cord blood (β = -1.66) in male fetuses, and the expression of brain derived neurotrophic factor (BDNF) in cord blood in females (β = -0.52). Our results suggest that prenatal V exposure has a gender-specific effect on fetal growth and the second trimester may be a sensitive window. The disruption of grow-related cytokines may potentially be the biological mechanism of these effects.
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http://dx.doi.org/10.1016/j.scitotenv.2019.06.191DOI Listing
October 2019

Trophinin-associated protein expression is an independent prognostic biomarker in lung adenocarcinoma.

J Thorac Dis 2019 May;11(5):2043-2050

Department of Thoracic Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China.

Background: Lung cancer is the leading cause of cancer-related deaths worldwide, with lung adenocarcinoma (LAC) representing the most common subtype. Trophinin-associated protein (TROAP) is a cytoplasmic protein first identified to mediate the process of embryo transplantation, which has been recently found to be involved in microtubule regulation. However, limited information about the role of TROAP in LAC is available.

Methods: We evaluated the relationship of TROAP expression in LAC tissues with clinical pathologic parameters and the survival time in LAC patients based on a statistical analysis of The Cancer Genome Atlas (TCGA) lung cancer data (N=528). Differences in survival between high and low expression groups (median expression cutoff) from the Cox univariate/multivariate regression analysis were then compared.

Results: According to the Chi-square tests, we found high TROAP expression correlated with younger age (≤60) (P=0.047), male sex (P<0.005), an earlier T-stage (P=0.011), N-stage (P=0.017), M-stage (P=0.022), TNM (P=0.007), and a longer smoking history (>30 pack-year) (P<0.001). A Kaplan-Meier analysis demonstrated that high TROAP expression may correspond with poor overall survival of LAC patients in T3 stage (P=0.0013), N0 stage (P=0.014), and M0 stage (P=0.0023). Multivariate analysis confirmed that TROAP expression was related to overall survival in LAC patients independently [hazard ratio (HR): 1.784, 95% confidence interval (CI): 1.072-2.968, P=0.026].

Conclusions: Our results suggested that TROAP is an independent prognostic biomarker of poor survival in LAC.
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http://dx.doi.org/10.21037/jtd.2019.04.86DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588746PMC
May 2019

Indocyanine green binds to DOTAP liposomes for enhanced optical properties and tumor photoablation.

Biomater Sci 2019 Aug 24;7(8):3158-3164. Epub 2019 Jun 24.

Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.

Indocyanine green (ICG) is a clinically-approved near infrared (NIR) dye used for optical imaging. The dye is only slightly soluble in water and is prone to aggregation in saline solutions, so that alternative formulations can improve photophysical performance. Numerous nanoscale formulations of ICG have been described in the literature, but we sought to develop an approach that does not require additional purification steps. Pre-formed liposomes incorporating 45 mol% of the cationic lipid 1,2-dioleoyl-3-trimethylammonium-propane (DOTAP) rapidly bind ICG, resulting in enhanced NIR optical properties. ICG binding is dependent on the amount of DOTAP incorporated in the liposomes. A dye-to-lipid mass ratio of [0.5 : 25] is sufficient for full complexation, without additional purification steps following mixing. NIR absorption, fluorescence intensity, and photoacoustic signals are increased for the liposome-bound dye. Not only is the optical character enhanced by simple mixing of ICG with liposomes, but retention in 4T1 mammary tumors is observed following intratumor injection, as assessed by fluorescence and photoacoustic imaging. Subsequent photothermal therapy with 808 nm laser irradiation is effective and results in tumor ablation without regrowth for at least 30 days. Thus, ICG optical properties and photothermal ablation outcomes can be improved by mixing the dye with pre-formed DOTAP liposomes in conditions that result in full dye-binding to the liposomes.
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http://dx.doi.org/10.1039/c9bm00551jDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650340PMC
August 2019

Predicting gestational personal exposure to PM from satellite-driven ambient concentrations in Shanghai.

Chemosphere 2019 Oct 31;233:452-461. Epub 2019 May 31.

Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China. Electronic address:

Background: It has been widely reported that gestational exposure to fine particulate matters (PM) is associated with a series of adverse birth outcomes. However, the discrepancy between ambient PM concentrations and personal PM exposure would significantly affect the estimation of exposure-response relationship.

Objective: Our study aimed to predict gestational personal exposure to PM from the satellite-driven ambient concentrations and analyze the influence of other potential determinants.

Method: We collected 762 72-h personal exposure samples from a panel of 329 pregnant women in Shanghai, China as well as their time-activity patterns from Feb 2017 to Jun 2018. We established an ambient PM model based on MAIAC AOD at 1 km resolution, then used its output as a major predictor to develop a personal exposure model.

Results: Our ambient PM model yielded a cross-validation R of 0.96. Personal PM exposure levels were almost identical to the corresponding ambient concentrations. After adjusting for time-activity patterns and meteorological factors, our personal exposure has a CV R of 0.76.

Conclusion: We established a prediction model for gestational personal exposure to PM from satellite-based ambient concentrations and provided a methodological reference for further epidemiological studies.
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http://dx.doi.org/10.1016/j.chemosphere.2019.05.251DOI Listing
October 2019

Personal exposure to PM constituents associated with gestational blood pressure and endothelial dysfunction.

Environ Pollut 2019 Jul 11;250:346-356. Epub 2019 Apr 11.

Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China. Electronic address:

Ambient fine particulate matter (PM) pollution has been implicated in the development of hypertensive disorders of pregnancy. However, evidence on the effects of PM-derived chemical constituents on gestational blood pressure (BP) is limited, and the potential mechanisms underlying the association remain unclear. In this study, we repeated three consecutive 72-h personal air sampling and BP measurements in 215 pregnant women for 590 visits during pregnancy. Individual PM exposure level was assessed by gravimetric method and 28 PM chemical constituents were analyzed by ED-XRF method. Plasma biomarkers of endothelial function and inflammation were measured using multiplexed immunoassays. Robust multiple linear regression models were used to estimate the associations among personal PM exposure and chemical constituents, BP changes (compared with pre-pregnancy BP) and plasma biomarkers. Mediation analyses were performed to evaluate underlying potential pathways. Result showed that exposure to PM was significantly associated with increases in systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean arterial pressure (MAP) in the early second trimester. Meanwhile, elevated concentration of lead (Pb) constituent in PM was significant associated with increases in DBP and MAP after adjusting for PM total mass. PM and Pb constituent also presented positive associations with plasma biomarkers of endothelial function (ET-1, E-selectin, ICAM-1) and inflammation (IL-1β, IL-6, TNFα) significantly. After multiple adjustment, elevated ET-1 and IL-6 were significantly correlated with increased gestational BP, and respectively mediated 1.24%-25.06% and 7.01%-10.69% of the increased BP due to PM and Pb constituent exposure. In conclusion, our results suggested that personal exposure to PM and Pb constituent were significantly associated with increased BP during pregnancy, and the early second trimester might be the sensitive window of PM exposure. The endothelial dysfunction and elevated inflammation partially mediated the effect of PM and Pb constituent on BP during pregnancy.
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http://dx.doi.org/10.1016/j.envpol.2019.04.024DOI Listing
July 2019

Anisotropic Photoresponse of the Ultrathin GeSe Nanoplates Grown by Rapid Physical Vapor Deposition.

ACS Appl Mater Interfaces 2019 Jan 18;11(4):4123-4130. Epub 2019 Jan 18.

College of Physics and Energy , Fujian Normal University , Fuzhou , 350117 , P.R. China.

Anisotropic materials, especially two-dimensional (2D) layered materials formed by van der Waals force (vdW) with low-symmetry, have become a scientific hot-spot because their electrical, optical, and thermoelectric properties are highly polarization dependent. The 2D GeSe, a typical anisotropic-layered orthorhombic structure and narrow bandgap (1.1-1.2 eV) semiconductor, potentially meets these demands. In this report, the ultrathin elongated hexagonal GeSe nanoplates were successfully synthesized by the rapid physical vapor deposition method developed here. The ultrathin elongated hexagonal GeSe nanoplates have a zigzag edge in the long edge and an armchair edge in the short edge. In addition, the typical Raman mode exhibited 90° periodic vibration, having its maximum intensity between the zigzag direction or the zigzag and armchair direction, indicating an anisotropic electron-phonon interaction. Furthermore, the field effect transistor devices based on the elongated hexagonal GeSe nanoplates were constructed and exhibited the p-type semiconducting behavior with a high photoresponse characteriscs. Finally, the polarized sensitive photocurrent was identified, further revealing the intrinsically anisotropy of the GeSe nanoplate. The results illustrated here may give a useful guidance to synthesize the 2D-layered anisotropic nanomaterials and further advance the development of the polarized photodetector.
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http://dx.doi.org/10.1021/acsami.8b19306DOI Listing
January 2019
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