Publications by authors named "He Wang"

1,216 Publications

  • Page 1 of 1

Hypermethylation of Cyclin D2 Predicts Poor Prognosis of Hepatitis B Virus-Associated Hepatocellular Carcinoma after Hepatectomy.

Tohoku J Exp Med 2021 ;254(3):233-243

Department of Hepatology, Qilu Hospital, Cheeloo College of Medicine, Shandong University.

Prognosis of patients with hepatocellular carcinoma remains poor because of progression of hepatocellular carcinoma and high recurrence rates. Cyclin D2 (CCND2) plays a vital role in regulating the cell cycle; indeed, aberrant methylation of CCND2 is involved in the development of hepatocellular carcinoma. Therefore, we aimed to investigate levels of CCND2 methylation in patients with hepatitis B virus (HBV)-associated hepatocellular carcinoma and to evaluate its prognostic significance after hepatectomy. In total, 257 subjects were enrolled (166 hepatocellular carcinoma patients undergoing surgical resection, 61 chronic hepatitis B (CHB) patients, and 30 healthy controls). CCND2 methylation in peripheral blood mononuclear cells was measured quantitatively using MethyLight. We found that CCND2 methylation levels in patients with HBV-associated hepatocellular carcinoma were significantly higher than in CHB patients (P < 0.001) or healthy controls (P < 0.001). Within the hepatocellular carcinoma group, CCND2 methylation levels were higher in patients with portal vein invasion, early tumor recurrence, TNM III/IV stage, and tumor size ≥ 5 cm (P < 0.05). Furthermore, higher levels of CCND2 methylation were associated with worse overall survival and disease-free survival (P = 0.005 and P < 0.001, respectively). Multivariate analysis identified CCND2 methylation as an independent prognostic factor for early tumor recurrence (P = 0.021), overall survival (P = 0.022), and disease-free survival (P < 0.001) in hepatocellular carcinoma patients after resection. In conclusion, hypermethylation of CCND2 may have clinical utility for predicting a high risk of poor prognosis and early tumor recurrence in patients with HBV-associated hepatocellular carcinoma after hepatectomy.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1620/tjem.254.233DOI Listing
January 2021

Mn(III)-Mediated Radical Cyclization of -Alkenyl Aromatic Isocyanides with Boronic Acids: Access to N-Unprotected 2-Aryl-3-cyanoindoles.

Org Lett 2021 Jul 29. Epub 2021 Jul 29.

School of Petrochemical Engineering, Liaoning Petrochemical University, Fushun 113001, P. R. China.

The synthesis of N-unprotected 2-aryl-3-cyanoindoles was realized via the Mn(III)-mediated radical cascade cyclization of -alkenyl aromatic isocyanides with boronic acids. A possible mechanism involving a sequential intermolecular radical addition, intramolecular cyclization, and cleavage of the C-C bond under mild reaction conditions is proposed. Mechanism studies show that HO or O might provide the oxygen source for the elimination of benzaldehyde.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.orglett.1c01979DOI Listing
July 2021

Tumor-derived exosomal BCYRN1 activates WNT5A/VEGF-C/VEGFR3 feedforward loop to drive lymphatic metastasis of bladder cancer.

Clin Transl Med 2021 Jul;11(7):e497

Department of Urology, Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, P. R. China.

Background: Patients with lymph node (LN) metastatic bladder cancer (BCa) present with extremely poor prognosis. BCa-derived exosomes function as crucial bioactive cargo carriers to mediate the signal transduction in tumor microenvironment triggering tumor metastasis. However, the mechanisms underlying exosome-mediated LN metastasis in BCa are unclear.

Methods: We conducted the high-throughput sequencing to explore the expression profile of long noncoding RNA (lncRNA) in urinary exosomes (urinary-EXO) from patients with BCa and further evaluated the clinical relevance of exosomal lncRNA BCYRN1 in a larger 210-case cohort. The functional role of exosomal BCYRN1 was evaluated through the migration and tube formation assays in vitro and the footpad-popliteal LN metastasis model in vivo. RNA pull-down assays, luciferase assays, and actinomycin assays were conducted to detect the regulatory mechanism of exosomal BCYRN1.

Results: LncRNA BCYRN1 was substantially upregulated in urinary-EXO from patients with BCa, and associated with the LN metastasis of BCa. We demonstrated that exosomal BCYRN1 markedly promoted tube formation and migration of human lymphatic endothelial cells (HLECs) in vitro and lymphangiogenesis and LN metastasis of BCa in vivo. Mechanistically, BCYRN1 epigenetically upregulated WNT5A expression by inducing hnRNPA1-associated H3K4 trimethylation in WNT5A promoter, which activated Wnt/β-catenin signaling to facilitate the secretion of VEGF-C in BCa. Moreover, exosomal BCYRN1 was transmitted to HLECs to stabilize the VEGFR3 mRNA and thus formed an hnRNPA1/WNT5A/VEGFR3 feedforward regulatory loop, ultimately promoting the lymphatic metastasis of BCa. Importantly, blocking VEGFR3 with specific inhibitor, SAR131675 significantly impaired exosomal BCYRN1-induced the LN metastasis in vivo. Clinically, exosomal BCYRN1 was positively associated with the shorter survival of BCa patients and identified as a poor prognostic factor of patients.

Conclusion: Our results uncover a novel mechanism by which exosomal BCYRN1 synergistically enhances VEGF-C/VEGFR3 signaling-induced lymphatic metastasis of BCa, indicating that BCYRN1 may serve as an encouraging therapeutic target for patients with BCa.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1002/ctm2.497DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288020PMC
July 2021

Continual Decline in Azole Susceptibility Rates in Over a 9-Year Period in China.

Front Microbiol 2021 9;12:702839. Epub 2021 Jul 9.

Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Background: There have been reports of increasing azole resistance in , especially in the Asia-Pacific region. Here we report on the epidemiology and antifungal susceptibility of causing invasive candidiasis in China, from a 9-year surveillance study.

Methods: From August 2009 to July 2018, isolates ( = 3702) were collected from 87 hospitals across China. Species identification was carried out by mass spectrometry or rDNA sequencing. Antifungal susceptibility was determined by Clinical and Laboratory Standards Institute disk diffusion (CHIF-NET10-14, = 1510) or Sensititre YeastOne (CHIF-NET15-18, = 2192) methods.

Results: Overall, 22.2% (823/3702) of the isolates were resistant to fluconazole, with 90.4% (744/823) being cross-resistant to voriconazole. In addition, 16.9 (370/2192) and 71.7% (1572/2192) of the isolates were of non-wild-type phenotype to itraconazole and posaconazole, respectively. Over the 9 years of surveillance, the fluconazole resistance rate continued to increase, rising from 5.7 (7/122) to 31.8% (236/741), while that for voriconazole was almost the same, rising from 5.7 (7/122) to 29.1% (216/741), with no significant statistical differences across the geographic regions. However, significant difference in fluconazole resistance rate was noted between isolates cultured from blood (27.2%, 489/1799) and those from non-blood (17.6%, 334/1903) specimens (-value < 0.05), and amongst isolates collected from medical wards (28.1%, 312/1110) versus intensive care units (19.6%, 214/1092) and surgical wards (17.9%, 194/1086) (Bonferroni adjusted -value < 0.05). Although echinocandin resistance remained low (0.8%, 18/2192) during the surveillance period, it was observed in most administrative regions, and one-third (6/18) of these isolates were simultaneously resistant to fluconazole.

Conclusion: The continual decrease in the rate of azole susceptibility among strains has become a nationwide challenge in China, and the emergence of multi-drug resistance could pose further threats. These phenomena call for effective efforts in future interventions.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.3389/fmicb.2021.702839DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299486PMC
July 2021

Nitrate-functionalized patch confers cardioprotection and improves heart repair after myocardial infarction via local nitric oxide delivery.

Nat Commun 2021 07 23;12(1):4501. Epub 2021 Jul 23.

State key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials (Ministry of Education), College of Life Sciences, Nankai University, Tianjin, China.

Nitric oxide (NO) is a short-lived signaling molecule that plays a pivotal role in cardiovascular system. Organic nitrates represent a class of NO-donating drugs for treating coronary artery diseases, acting through the vasodilation of systemic vasculature that often leads to adverse effects. Herein, we design a nitrate-functionalized patch, wherein the nitrate pharmacological functional groups are covalently bound to biodegradable polymers, thus transforming small-molecule drugs into therapeutic biomaterials. When implanted onto the myocardium, the patch releases NO locally through a stepwise biotransformation, and NO generation is remarkably enhanced in infarcted myocardium because of the ischemic microenvironment, which gives rise to mitochondrial-targeted cardioprotection as well as enhanced cardiac repair. The therapeutic efficacy is further confirmed in a clinically relevant porcine model of myocardial infarction. All these results support the translational potential of this functional patch for treating ischemic heart disease by therapeutic mechanisms different from conventional organic nitrate drugs.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41467-021-24804-3DOI Listing
July 2021

Assessment of Vascular Network Connectivity of Hepatocellular Carcinoma Using Graph-Based Approach.

Front Oncol 2021 6;11:668874. Epub 2021 Jul 6.

Department of Radiology, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.

Background: The angiogenesis of liver cancer is a key condition for its growth, invasion, and metastasis. This study aims to investigate vascular network connectivity of hepatocellular carcinoma (HCC) using graph-based approach.

Methods: Orthotopic HCC xenograft models (n=10) and the healthy controls (n=10) were established. After 21 days of modeling, hepatic vascular casting and Micro-CT scanning were performed for angiography, followed by blood vessels automatic segmentation and vascular network modeling. The topologic parameters of vascular network, including clustering coefficient (CC), network structure entropy (NSE), and average path length (APL) were quantified. Topologic parameters of the tumor region, as well as the background liver were compared between HCC group and normal control group.

Results: Compared with normal control group, the tumor region of HCC group showed significantly decreased CC [(0.046 ± 0.005) (0.052 ± 0.006), =0.026], and NSE [(0.9894 ± 0.0015) (0.9927 ± 0.0010), <0.001], and increased APL [(0.433 ± 0.138) (0.188 ± 0.049), <0.001]. Compared with normal control group, the background liver of HCC group showed significantly decreased CC [(0.047 ± 0.004) (0.052 ± 0.006), =0.041] and increased NSE [0.9938 (0.9936~0.9940) (0.9927 ± 0.0010), =0.035]. No significant difference was identified for APL between the two groups.

Conclusion: Graph-based approach allows quantification of vascular connectivity of HCC. Disrupted vascular topological connectivity exists in the tumor region, as well as the background liver of HCC.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.3389/fonc.2021.668874DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290165PMC
July 2021

Oncogenic role of ALX3 in cervical cancer cells through KDM2B-mediated histone demethylation of CDC25A.

BMC Cancer 2021 Jul 16;21(1):819. Epub 2021 Jul 16.

Department Two of Gynecologic Oncology, Jilin Cancer Hospital, No. 1018, Huguang Road, Changchun, 130012, Jilin, People's Republic of China.

Background: Cell division cycle 25A (CDC25A) is a well-recognized regulator of cell cycle progression and is involved in cancer development. This work focused on the function of CDC25A in cervical cancer cell growth and the molecules involved.

Methods: A GEO dataset GSE63514 comprising data of cervical squamous cell carcinoma (CSCC) tissues was used to screen the aberrantly expressed genes in cervical cancer. The CDC25A expression in cancer and normal tissues was predicted in the GEPIA database and that in CSCC and normal cells was determined by RT-qPCR and western blot assays. Downregulation of CDC25A was introduced in CSCC cells to explore its function in cell growth and the cell cycle progression. The potential regulators of CDC25A activity and the possible involved signaling were explored.

Results: CDC25A was predicted to be overexpressed in CSCC, and high expression of CDC25A was observed in CSCC cells. Downregulation of CDC25A in ME180 and C33A cells reduced cell proliferation and blocked cell cycle progression, and it increased cell apoptosis. ALX3 was a positive regulator of CDC25A through transcription promotion. It recruited a histone demethylase, lysine demethylase 2B (KDM2B), to the CDC25A promoter, which enhanced CDC25A expression through demethylation of H3k4me3. Overexpression of ALX3 in cells blocked the inhibitory effects of CDC25A silencing. CDC25A was found as a positive regulator of the PI3K/Akt signaling pathway.

Conclusion: This study suggested that the ALX3 increased CDC25A expression through KDM2B-mediated demethylation of H3K4me3, which induced proliferation and cell cycle progression of cervical cancer cells.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1186/s12885-021-08552-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284019PMC
July 2021

A cassava common mosaic virus vector for virus-induced gene silencing in cassava.

Plant Methods 2021 Jul 12;17(1):74. Epub 2021 Jul 12.

Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture and Rural Affairs & Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101, China.

Background: Cassava is an important crop for food security and industry in the least-developed and developing countries. The completion of the cassava genome sequence and identification of large numbers of candidate genes by next-generation sequencing provide extensive resources for cassava molecular breeding and increase the need for rapid and efficient gene function analysis systems in cassava. Several plant virus-induced gene silencing (VIGS) systems have been developed as reverse genetic tools for rapid gene function analysis in cassava. However, these VIGS vectors could cause severe viral symptoms or inefficient gene silencing.

Results: In this study, we constructed agroinfection-compatible infectious cDNA clones of cassava common mosaic virus isolate CM (CsCMV-CM, genus Potexvirus, family Alphaflexiviridae) that causes systemic infection with mild symptoms in cassava. CsCMV-CM was then modified to a viral vector carrying the Nimble cloning frame, which facilitates the rapid and high-throughput cloning of silencing fragments into the viral genome. The CsCMV-based vector successfully silenced phytoene desaturase (PDS) and magnesium chelatase subunit I (ChlI) in different cassava varieties and Nicotiana benthamiana. The silencing of the ChlI gene could persist for more than two months.

Conclusions: This CsCMV-based VIGS system provides a new tool for rapid and efficient gene function studies in cassava.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1186/s13007-021-00775-wDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273954PMC
July 2021

MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping.

Neuroimage 2021 Jul 8;240:118376. Epub 2021 Jul 8.

School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China. Electronic address:

Quantitative susceptibility mapping (QSM) has demonstrated great potential in quantifying tissue susceptibility in various brain diseases. However, the intrinsic ill-posed inverse problem relating the tissue phase to the underlying susceptibility distribution affects the accuracy for quantifying tissue susceptibility. Recently, deep learning has shown promising results to improve accuracy by reducing the streaking artifacts. However, there exists a mismatch between the observed phase and the theoretical forward phase estimated by the susceptibility label. In this study, we proposed a model-based deep learning architecture that followed the STI (susceptibility tensor imaging) physical model, referred to as MoDL-QSM. Specifically, MoDL-QSM accounts for the relationship between STI-derived phase contrast induced by the susceptibility tensor terms (χ, χ and χ) and the acquired single-orientation phase. The convolutional neural networks are embedded into the physical model to learn a regularization term containing prior information. χ and phase induced by χ and χ terms were used as the labels for network training. Quantitative evaluation metrics were compared with recently developed deep learning QSM methods. The results showed that MoDL-QSM achieved superior performance, demonstrating its potential for future applications.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.neuroimage.2021.118376DOI Listing
July 2021

A Comparative Study on the Psychological Health of Frontline Health Workers in Wuhan Under and After the Lockdown.

Front Psychiatry 2021 21;12:701032. Epub 2021 Jun 21.

Department of Neurology, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.

The coronavirus disease-2019 (COVID-19) outbreak and a 3-month lockdown of Wuhan may have had a long-term impact on the mental health of frontline healthcare workers (HWs). However, there is still a lack of comparative studies on the mental health of front-line HWs in the initial phase of the lockdown and 1 month after the lifting of the lockdown. We recruited 1717 HWs during the initial phase of the lockdown and 2214 HWs 1 month after the lifting of the lockdown, and their baseline characteristics and psychiatric health in these two phases were compared. Furthermore, Pearson's Chi-square test and multivariate logistic regression analysis were used to determine the possible risk factors associated with depressive symptoms in the front-line HWs. Compared with the initial phase of the lockdown, the proportion of HWs with anxiety symptoms and stress decreased, while the proportion of HWs with depressive symptoms increased a month after the lifting of the lockdown. Male sex, exercise habit, comorbidities, and having family members or relatives with suspected or confirmed COVID-19 infection were significantly related to the increased incidence of depressive symptoms during the initial phase of the lockdown. Comorbidities, negative effect of media coverage, working >4 days a week, lower annual household income, and deteriorating relationships with family members were associated with depressive symptoms a month after the lifting of the lockdown. The increased proportion of HWs with depressive symptoms 1 month after the lifting of the lockdown suggested that mental health of front-line HWs should be a top-priority issue, not only during, but also after the pandemic.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.3389/fpsyt.2021.701032DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255471PMC
June 2021

Value of Machine Learning with Multiphases CE-MRI Radiomics for Early Prediction of Pathological Complete Response to Neoadjuvant Therapy in HER2-Positive Invasive Breast Cancer.

Cancer Manag Res 2021 28;13:5053-5062. Epub 2021 Jun 28.

Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.

Background: To assess the value of radiomics based on multiphases contrast-enhanced magnetic resonance imaging (CE-MRI) for early prediction of pathological complete response (pCR) to neoadjuvant therapy (NAT) in patients with human epithelial growth factor receptor 2 (HER2) positive invasive breast cancer.

Methods: A total of 127 patients with newly diagnosed primary HER2 positive invasive breast cancer underwent CE-MRI before NAT and performed surgery after NAT. Radiomic features were extracted from the 1 postcontrast CE-MRI phase (CE) and multi-phases CE-MRI (CE),respectively. With selected features using a forward stepwise regression, 23 machine learning classifiers based on CE and CE were constructed respectively for differentiating pCR and non-pCR patients. The performances of classifiers were assessed and compared by their accuracy, sensitivity, specificity and AUC (area under curve). The optimal machine learning classification was used to discriminate pCR vs non-pCR in mass and non-mass groups, uni-focal and unilateral multi-focal groups, respectively.

Results: For the task of pCR classification, 6 radiomic features from CE and 6 from CE were selected for the construction of machine learning models, respectively. The linear SVM based on CE outperformed the logistic regression model using CE with an AUC of 0.84 versus 0.69. In mass and non-mass enhancement groups, the accuracy of linear SVM achieved 84% and 76%. Whereas in unifocal and unilateral multifocal cases, 79% and 75% accuracy were achieved by linear SVM.

Conclusion: Multiphases CE-MRI imaging may offer more heterogeneity information in the tumor and provide a non-invasive approach for early prediction of pCR to NAT in patients with HER2-positive invasive breast cancer.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.2147/CMAR.S304547DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253937PMC
June 2021

Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network.

Insights Imaging 2021 Jul 7;12(1):93. Epub 2021 Jul 7.

Department of Radiology, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China.

Background: Accurate segmentation of pelvic bones is an initial step to achieve accurate detection and localisation of pelvic bone metastases. This study presents a deep learning-based approach for automated segmentation of normal pelvic bony structures in multiparametric magnetic resonance imaging (mpMRI) using a 3D convolutional neural network (CNN).

Methods: This retrospective study included 264 pelvic mpMRI data obtained between 2018 and 2019. The manual annotations of pelvic bony structures (which included lumbar vertebra, sacrococcyx, ilium, acetabulum, femoral head, femoral neck, ischium, and pubis) on diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) images were used to create reference standards. A 3D U-Net CNN was employed for automatic pelvic bone segmentation. Additionally, 60 mpMRI data from 2020 were included and used to evaluate the model externally.

Results: The CNN achieved a high Dice similarity coefficient (DSC) average in both testing (0.80 [DWI images] and 0.85 [ADC images]) and external (0.79 [DWI images] and 0.84 [ADC images]) validation sets. Pelvic bone volumes measured with manual and CNN-predicted segmentations were highly correlated (R value of 0.84-0.97) and in close agreement (mean bias of 2.6-4.5 cm). A SCORE system was designed to qualitatively evaluate the model for which both testing and external validation sets achieved high scores in terms of both qualitative evaluation and concordance between two readers (ICC = 0.904; 95% confidence interval: 0.871-0.929).

Conclusions: A deep learning-based method can achieve automated pelvic bone segmentation on DWI and ADC images with suitable quantitative and qualitative performance.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1186/s13244-021-01044-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263843PMC
July 2021

Highly Accurate and Fast Electrochemical Detection of Scrub Typhus DNA via a Nanoflower NiFe-Based Biosensor.

Biosensors (Basel) 2021 Jun 24;11(7). Epub 2021 Jun 24.

Key Laboratory of Advanced Materials of Tropical Island Resources, State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China.

Owing to the lack of specific diagnostic methods, Scrub typhus can sometimes be difficult to diagnose in the Asia-Pacific region. Therefore, an efficient and rapid detection method urgently needs to be developed. Based on competitive single-stranded DNA over modified glassy carbon electrode (GCE), an electrochemical biosensor was established to detect the disease. The nano-flower NiFe layered double hydroxide (NiFe-LDH) modified GCE has a large specific surface area, which supported a large amount of gold nanoparticles, so that a wide linear detection range from 25 fM to 0.5 μM was obtained. The beacon DNA (B-DNA) with the same sequence as the Scrub typhus DNA (T-DNA), but labeled with methylene blue, was used to construct a competitive relationship. When T-DNA and B-DNA were present on the sensor simultaneously, they would hybridize with probe DNA in a strong competition, and the corresponding electrochemical response signal would be generated via testing. It contributed to reducing tedious experimental procedures and excessive response time, and achieved fast electrochemical detection of DNA. The strategy provides a worthy avenue and possesses promising applications in disease diagnosis.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.3390/bios11070207DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301859PMC
June 2021

Tunable microstructures of ultralong organic phosphorescence materials.

Chem Commun (Camb) 2021 Jul 1;57(59):7276-7279. Epub 2021 Jul 1.

Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, China.

Three kinds of microstructures were prepared for one organic phosphor based on a solution-concentration-controlled self-assembly strategy. These microstructures show different phosphorescence efficiencies, which holds considerable promise for the miniaturized optical device applications of ultralong organic phosphorescence materials.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1039/d1cc01563jDOI Listing
July 2021

An efficient papaya leaf distortion mosaic potyvirus vector for virus-induced gene silencing in papaya.

Hortic Res 2021 Jul 1;8(1):144. Epub 2021 Jul 1.

Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture and Rural Affairs & Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, 571101, Haikou, China.

Papaya (Carica papaya L.) is regarded as an excellent model for genomic studies of tropical trees because of its short generation time and its small genome that has been sequenced. However, functional genomic studies in papaya depend on laborious genetic transformations because no rapid tools exist for this species. Here, we developed a highly efficient virus-induced gene silencing (VIGS) vector for use in papaya by modifying an artificially attenuated infectious clone of papaya leaf distortion mosaic virus (PLDMV; genus: Potyvirus), PLDMV-E, into a stable Nimble Cloning (NC)-based PLDMV vector, pPLDMV-NC, in Escherichia coli. The target fragments for gene silencing can easily be cloned into pPLDMV-NC without multiple digestion and ligation steps. Using this PLDMV VIGS system, we silenced and characterized five endogenous genes in papaya, including two common VIGS marker genes, namely, phytoene desaturase, Mg-chelatase H subunit, putative GIBBERELLIN (GA)-INSENSITIVE DWARF1A and 1B encoding GA receptors; and the cytochrome P450 gene CYP83B1, which encodes a key enzyme involved in benzylglucosinolate biosynthesis. The results demonstrate that our newly developed PLDMV VIGS vector is a rapid and convenient tool for functional genomic studies in papaya.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41438-021-00579-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245588PMC
July 2021

Prenatal diagnosis of genetic aberrations in fetuses with short femur detected by ultrasound: A prospective cohort study.

Prenat Diagn 2021 Jun 29. Epub 2021 Jun 29.

Department of Obstetrics & Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.

Objectives: To investigate the genetic aberrations in fetuses with short femur and explore the relationships with respect to degree of femoral shortening and the initial diagnostic gestational age GA.

Methods: Singleton pregnancies with fetal short femur who consented to amniocentesis and to single nucleotide polymorphism (SNP) array and Sanger sequencing for G380R mutations in FGFR3 gene were enrolled in this 5-year period prospective study. Clinical follow-up assessments were performed after birth.

Results: Of a total of 161 fetuses, the prevalence of genetic aberrations was 16.2% (26/161), comprised of 65.4% (17/26) with chromosomal abnormalities and 34.6% (9/26) with G380R mutations. All fetuses with chromosomal abnormalities had FL 2-4SDs below GA. Fewer chromosomal abnormalities were detected in fetuses with short femurs presenting in the third trimester. Significantly more FGFR3 mutations were detected in fetuses with FL below -4SDs. All fetuses with FL 2-4SDs below GA diagnosed as achondroplasia were between 22 and 24 gestational weeks, and all of those diagnosed in third trimester had FL below -4SDs.

Conclusion: In this small cohort study, we demonstrated that different degrees of femur shortness may be attributed to different genetic aberrations. SNP array should be regarded as the first-tier test for fetuses with FL 2-4SDs below GA. The prognoses for fetuses with FL 2-4SDs below GA was significantly better than those with FL below 4SDs.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1002/pd.6006DOI Listing
June 2021

MRI-Based Investigation of Association Between Cerebrovascular Structural Alteration and White Matter Hyperintensity Induced by High Blood Pressure.

J Magn Reson Imaging 2021 Jun 28. Epub 2021 Jun 28.

State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.

Background: High blood pressure (BP) is a common risk factor for cerebral small vessel disease including white matter hyperintensity (WMH). Whether increased BP exacerbates WMH by impacting cerebral vascular morphologies remains poorly studied.

Purpose: To determine the relationships among high BP, cerebrovascular morphologies, and WMH in elderly individuals.

Study Type: Cohort.

Subjects: Eight hundred sixty-three participants (54.2% female) from the Taizhou Imaging Study without clinical evidence of neurologic disorders were included in the analyses.

Field Strength/sequence: 3.0 T; time-of-flight magnetic resonance angiography (TOF MRA); T2 fluid-attenuated inversion recovery (FLAIR); T1 magnetization-prepared rapid gradient-echo; gradient echo T2*-weighted; diffusion tensor imaging; pulsed arterial spin labeling.

Assessment: Cerebrovascular morphologic measurements were quantified based on the TOF MRA images, including vessel density, radius, tortuosity, and branch number. WMH lesion volumes (WMHV) and WMH lesion counts (WMHC) were calculated automatically based on the T2 FLAIR images.

Statistical Tests: Multivariable linear regression analysis and path analysis with a linear single-mediator model were employed. A P value <0.05 was considered statistically significant.

Results: Higher BP, especially diastolic BP, was significantly correlated with lower cerebrovascular density (β = -104) and lower branch numbers (β = -0.02). Although decreased tortuosity (β = -1.25) and increased radius (β = 93.8) were correlated with BP, no significant relationship of tortuosity (β = -4.6 × 10 , P = 0.58) or radius (β = 0.03, P = 0.08) with BP in small vessels was found. The proportion of small vessels decreased as BP increased (SBP: β = -6.6 × 10 ; DBP: β = -9.0 × 10 ). Similarly, increased WMHV and WMHC were associated with decreased vessel density (volumes: β = -24, counts: β = -127), decreased tortuosity (volumes: β = -0.08, counts: β = -0.53), and increased radius (volumes: β = 12.6, counts: β = 86.6). Path analyses suggested an association between high BP and WMHs that were mediated by cerebrovascular morphologic changes.

Data Conclusion: Structural alterations of cerebral vessels induced by high BP are correlated with WMH. This result suggested that elevated BP might be one of the pathophysiological mechanisms involving in the co-occurrence of cerebrovascular alteration and small vessel disease.

Level Of Evidence: 1 Technical Efficacy Stage: 1.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1002/jmri.27815DOI Listing
June 2021

Decreased ferroportin in hepatocytes promotes macrophages polarize towards an M2-like phenotype and liver fibrosis.

Sci Rep 2021 Jun 28;11(1):13386. Epub 2021 Jun 28.

The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, Guangdong, People's Republic of China.

Iron release from macrophages is closely regulated by the interaction of hepcidin, a peptide hormone produced by hepatocytes, with the macrophage iron exporter ferroportin (FPN1). However, the functions of FPN1 in hepatocyte secretion and macrophage polarization remain unknown. CD68 immunohistochemical staining and double immunofluorescence staining for F4/80 and Ki67 in transgenic mouse livers showed that the number of macrophages in FPN1 and FPN1 mouse livers was significantly increased compared to that in WT (FPN) mice. FPN1 downregulation in hepatic cells increased the levels of the M2 markers CD206, TGF- β, VEGF, MMP-9, Laminin, Collagen, IL-4 and IL-10. Furthermore, the expression of CD16/32 and iNOS, as M1 markers, exhibited the opposite trend. Meanwhile, α-SMA immunohistochemistry and Sirius red staining showed that the trend of liver fibrosis in FPN1 mice was more significant than that in control mice. Similarly, in vitro FPN1 knockdown in L02-Sh/L02-SCR liver cell lines yielded similar results. Taken together, we demonstrated that downregulated FPN1 expression in hepatocytes can promote the proliferation and polarization of macrophages, leading to hepatic fibrosis. Above all, the FPN1 axis might provide a potential target for hepatic fibrosis.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41598-021-92839-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239022PMC
June 2021

Impact of Intra-Fractional Motion on Dose Distributions in Lung IMRT.

J Radiother Pract 2021 Mar 9;20(1):12-16. Epub 2020 Jan 9.

Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Houston, TX 77030, USA.

Aim: To investigate the impact of intra-fractional motion on dose distribution in patients treated with intensity-modulated radiation therapy (IMRT) for lung cancer.

Materials And Methods: Twenty patients who had undergone IMRT for non-small cell lung cancer were selected for this retrospective study. For each patient, a four-dimensional computed tomography (CT) image set was acquired and clinical treatment plans were developed using the average CT. Dose distributions were then re-calculated for each of the 10 phases of respiratory cycle and combined using deformable image registration to produce cumulative dose distributions that were compared with the clinical treatment plans.

Results: Intra-fractional motion reduced planning target volume (PTV) coverage in all patients. The median reduction of PTV volume covered by the prescription isodose was 3.4%; D was reduced by 3.1 Gy. Changes in the mean lung dose were within ±0.7 Gy. V for the lung increased in most patients; the median increase was 1.6%. The dose to the spinal cord was unaffected by intra-fractional motion. The dose to the heart was slightly reduced in most patients. The median reduction in the mean heart dose was 0.22 Gy, and V was reduced by 2.5%.The maximum dose to the esophagus was also reduced in most patients, by 0.74 Gy, whereas V did not change significantly. The median number of points in which dose differences exceeded 3%/3 mm was 6.2%.

Findings: Intra-fractional anatomical changes reduce PTV coverage compared to the coverage predicted by clinical treatment planning systems that use the average CT for dose calculation. Doses to organs at risk were mostly over-predicted.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1017/s1460396919000967DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8218928PMC
March 2021

Action Mode of the Mycotoxin Patulin as a Novel Natural Photosystem II Inhibitor.

J Agric Food Chem 2021 Jul 24;69(26):7313-7323. Epub 2021 Jun 24.

Weed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China.

A biocontrol method plays an important role in weed management. In this study, we aimed to clarify the phytotoxicity of the mycotoxin patulin (PAT) and reveal its mode of action as a new natural photosystem II (PSII) inhibitor. Phytotoxicity test showed that PAT has herbicidal activity and causes significant leaf lesions on . Under a half-inhibition concentration (2.24 μM), the observed significant decrease in oxygen evolution rate and the increase in the J-step of the chlorophyll fluorescence rise OJIP curve indicated that PAT strongly reduces photosynthetic efficiency by blocking electron transport from the primary to secondary plastoquinone acceptors (Q to Q) of PSII. Molecular modeling of PAT docking to the D1 protein suggested that PAT bounds to the Q site by forming hydrogen bonds to histidine 252 in the D1 protein. It is proposed that PAT is a new natural PSII inhibitor and has the potential to be developed into a bioherbicide or used as a template scaffold for discovering novel derivatives with more potent herbicidal activity.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.jafc.1c01811DOI Listing
July 2021

Novel loci and potential mechanisms of major depressive disorder, bipolar disorder, and schizophrenia.

Sci China Life Sci 2021 Jun 16. Epub 2021 Jun 16.

Center for Bioinformatics and Computational Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.

Different psychiatric disorders share genetic relationships and pleiotropic loci to certain extent. We integrated and analyzed datasets related to major depressive disorder (MDD), bipolar disorder (BIP), and schizophrenia (SCZ) from the Psychiatric Genomics Consortium using multitrait analysis of genome-wide association analysis (MTAG). MTAG significantly increased the effective sample size from 99,773 to 119,754 for MDD, from 909,061 to 1,450,972 for BIP, and from 856,677 to 940,613 for SCZ. We discovered 7, 32, and 43 novel lead single nucleotide polymorphisms (SNPs) and 1, 6, and 3 novel causal SNPs for MDD, BIP, and SCZ, respectively, after fine-mapping. We identified rs8039305 in the FURIN gene as a novel pleiotropic locus across the three disorders. We performed marker analysis of genomic annotation (MAGMA) and Hi-C-coupled MAGMA (H-MAGMA) based gene-set analysis and identified 101 genes associated with the three disorders, which were enriched in the regulation of postsynaptic membranes, postsynaptic membrane dopaminergic synapses, and Notch signaling pathway. Next, we performed Mendelian randomization analysis using different tools and detected a causal effect of BIP on SCZ. Overall, we demonstrated the usage of combined genome-wide association studies summary statistics for exploring potential novel mechanisms of the three psychiatric disorders, providing an alternative approach to integrate publicly available summary data.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11427-020-1934-xDOI Listing
June 2021

Cistanoside of ameliorates hypoxia-induced male reproductive damage via suppression of oxidative stress.

Am J Transl Res 2021 15;13(5):4342-4359. Epub 2021 May 15.

Department of Urology, Tang Du Hospital, The Fourth Military Medical University Xi'an 710038, Shaanxi, China.

Increasing evidence shows that hypoxia is a cause of male infertility, and hypoxia may be related to oxidative stress (OS). Cistanoside (Cis) is a phenylethanoid glycoside compound that can be extracted from and possesses various biological functions. This study aimed to investigate the protective effects of Cis on reproductive damage induced by hypoxia and explore the specific underlying mechanisms. Cell and animal hypoxia experimental models were constructed, and the protective effects of different subtypes of Cis on the male reproductive system were assessed both and . The results indicated that hypoxia significantly reduced the viability of GC-1 cells through cell cycle arrest and apoptosis activation, which were associated with increased OS. Moreover, Cis showed strong antioxidative effects both and , significantly restoring antioxidant enzyme activities and downregulating reactive oxygen species (ROS) levels while increasing cell viability and decreasing apoptosis. Importantly, the Cis subtypes (Cis-A, Cis-B, Cis-C and Cis-H) studied herein all showed certain antioxidant effects, among which the effects of Cis-B were the most significant. This study demonstrates that Cis markedly attenuates the harmful effects of hypoxia-induced OS by affecting antioxidant enzyme activities in testes and GC-1 cells.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205727PMC
May 2021

Upregulated LINC00319 aggravates neuronal injury induced by oxygen-glucose deprivation via modulating miR-200a-3p.

Exp Ther Med 2021 Aug 7;22(2):844. Epub 2021 Jun 7.

Department of Neurosurgery, The First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang 154001, P.R. China.

Ischemic stroke is one of the main causes of physical disability and mortality worldwide. Long non-coding RNAs (lncRNAs) are reported to be dysregulated in various biological progressions and serve important roles in pathological processes of cerebral ischemia. However, their biological actions and potential mechanisms in the progression of ischemic stroke remain unknown. The present study aimed to investigate the functions of LINC00319 on ischemic brain injury. It was identified that LINC00319 was significantly upregulated in the Gene Expression Omnibus profile of ischemic stroke. Furthermore, LINC00319 overexpression elevated caspase-3 activity and increased the apoptotic rate of neuronal cells, as well as decreased cell viability and glucose uptake. It was also demonstrated that LINC00319 participated in oxygen-glucose deprivation (OGD)-induced cerebral ischemic injury. LINC00319 could competitively bind with microRNA (miR)-200a-3p and decrease its expression. Moreover, miR-200a-3p could partly offset the negative effects of LINC00319 overexpression on neuronal injury caused by OGD. Collectively, the present results suggested that LINC00319 promoted apoptosis and aggravated neuronal injury induced by OGD by regulating miR-200a-3p, which may be important for ischemic stroke treatment.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.3892/etm.2021.10276DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210224PMC
August 2021

Effects of JAK2/STAT3 signaling pathway activation on sepsis-induced kidney injury.

Minerva Med 2021 Jun 18. Epub 2021 Jun 18.

ICU, The 970th Hospital of the PLA, Yantai, China -

View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.23736/S0026-4806.21.07424-3DOI Listing
June 2021

Double-helical assembly of heterodimeric nanoclusters into supercrystals.

Nature 2021 Jun 16;594(7863):380-384. Epub 2021 Jun 16.

Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA.

DNA has long been used as a template for the construction of helical assemblies of inorganic nanoparticles. For example, gold nanoparticles decorated with DNA (or with peptides) can create helical assemblies. But without such biological ligands, helices are difficult to achieve and their mechanism of formation is challenging to understand. Atomically precise nanoclusters that are protected by ligands such as thiolate have demonstrated hierarchical structural complexity in their assembly at the interparticle and intraparticle levels, similar to biomolecules and their assemblies. Furthermore, carrier dynamics can be controlled by engineering the structure of the nanoclusters. But these nanoclusters usually have isotropic structures and often assemble into commonly found supercrystals. Here we report the synthesis of homodimeric and heterodimeric gold nanoclusters and their self-assembly into superstructures. While the homodimeric nanoclusters form layer-by-layer superstructures, the heterodimeric nanoclusters self-assemble into double- and quadruple-helical superstructures. These complex arrangements are the result of two different motif pairs, one pair per monomer, where each motif bonds with its paired motif on a neighbouring heterodimer. This motif pairing is reminiscent of the paired interactions of nucleobases in DNA helices. Meanwhile, the surrounding ligands on the clusters show doubly or triply paired steric interactions. The helical assembly is driven by van der Waals interactions through particle rotation and conformational matching. Furthermore, the heterodimeric clusters have a carrier lifetime that is roughly 65 times longer than that of the homodimeric clusters. Our findings suggest new approaches for increasing complexity in the structural design and engineering of precision in supercrystals.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41586-021-03564-6DOI Listing
June 2021

Molecular insights into the binding variance of the SARS-CoV-2 spike with human, cat and dog ACE2 proteins.

Phys Chem Chem Phys 2021 Jun 15;23(24):13752-13759. Epub 2021 Jun 15.

MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China.

SARS-CoV-2 has recently caused an epidemic in humans and poses a huge threat to global public health. As a primary receptor of SARS-CoV-2, angiotensin-converting enzyme 2 (ACE2) exists in different hosts that are in close contact with humans, especially cats and dogs. However, the underlying mechanism of how the spike receptor binding domain (RBD) of SARS-CoV-2 cooperates with human ACE2 (hACE2), cat ACE2 (cACE2) and dog ACE2 (dACE2) and the variation in binding remains largely unsolved. Therefore, we explored the binding behavior of the spike RBD with cACE2, dACE2 and hACE2 via all-atom molecular dynamics simulations. In accordance with the binding free energies and residue interactions, the spike RBD has respective binding specificities with cACE2, dACE2 and hACE2, and the binding affinities decrease in the order of hACE2, cACE2, dACE2, mainly due to changes in the amino acids Q24L, H34Y, and M82T in cACE2 or dACE2. Furthermore, alanine scanning analysis results validated some key residues of the spike RBD interact with ACE2 and provided clues to the variation of amino acid that could influence the transmissibility or immune responses of SARS-CoV-2. Decreasing dynamic correlations strengths of ACE2 with the RBD were found in all hACE2-RBD, cACE2-RBD and dACE2-RBD systems. The ACE2 protein shows variable motion modes across the zinc metallopeptidase domain, which induces different interactions between ACE2 and the RBD. Our studies reveal that the motion pattern of the zinc metallopeptidase domain is critical to the binding behavior of RBD with ACE2. These findings could aid our understanding of selective recognition involving various ACE2 with the SARS-CoV-2 spike and shed further light on the binding mechanisms.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1039/d1cp01611cDOI Listing
June 2021

Enhanced expression of miR-889 forecasts an unfavorable prognosis and facilitates cell progression in hepatocellular carcinoma.

Diagn Pathol 2021 Jun 11;16(1):51. Epub 2021 Jun 11.

School of Pharmacy, Harbin University of Commerce, 138 Tongda Street, Harbin, 150076, Heilongjiang, China.

Background: As a new type of molecular marker, microRNAs (miRNAs) can be used for early diagnosis and prognosis prediction of malignant tumors, and has broad clinical application prospects. This paper mainly studies the important role of miR-889 in the occurrence and development of hepatocellular carcinoma and the prognostic significance of miR-889 in hepatocellular carcinoma.

Methods: Quantitative real-time PCR analysis detected the expression levels of miR-889 in hepatocellular carcinoma tissues and cell lines. Kaplan-Meier curve and Cox regression analysis were used to explore the prognostic significance of miR-889 in hepatocellular carcinoma. The CCK-8 and Transwell assays assay were used to assess cell proliferation, migration, and invasion abilities ability.

Results: The expression of miR-889 in hepatocellular carcinoma tissues was significantly higher than that in adjacent tissues. Overexpression of miR-889 was significantly associated with TNM stage, hepatitis B virus infection, and cirrhosis. Patients with high miR-889 expression had shorter overall survival than those with low miR-889 expression. And functional studies in two hepatocellular carcinoma cell lines have shown that overexpression of miR-889 significantly promoted cell proliferation, migration, and invasion in vitro.

Conclusions: Overall, miR-889 was upregulated in hepatocellular carcinoma tissues and cell lines, and overexpression of miR-889 promoted cell proliferation, migration, and invasion in hepatocellular carcinoma cells. Based on our findings, high expression of miR-889 may promote the progression of hepatocellular carcinoma, and high expression of miR-889 is also forecasted for an unfavorable prognosis in hepatocellular carcinoma.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1186/s13000-021-01111-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196534PMC
June 2021

Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA.

J Cereb Blood Flow Metab 2021 Jun 8:271678X211023660. Epub 2021 Jun 8.

Human Phenome Institute, Fudan University, Shanghai, China.

The accurate identification of irreversible infarction and salvageable tissue is important in planning the treatments for acute ischemic stroke (AIS) patients. Computed tomographic perfusion (CTP) can be used to evaluate the ischemic core and deficit, covering most of the territories of anterior circulation, but many community hospitals and primary stroke centers do not have the capability to perform CTP scan in emergency situation. This study aimed to identify AIS lesions from widely available non-contrast computed tomography (NCCT) and CT angiography (CTA) using deep learning. A total of 345AIS patients from our emergency department were included. A multi-scale 3D convolutional neural network (CNN) was used as the predictive model with inputs of NCCT, CTA, and CTA+ (8 s delay after CTA) images. An external cohort with 108 patients was included to further validate the generalization performance of the proposed model. Strong correlations with CTP-RAPID segmentations ( = 0.84 for core,  = 0.83 for deficit) were observed when NCCT, CTA, and CTA+ images were all used in the model. The diagnostic decisions according to DEFUSE3 showed high accuracy when using NCCT, CTA, and CTA+ (0.90±0.04), followed by the combination of NCCT and CTA (0.87±0.04), CTA-alone (0.76±0.06), and NCCT-alone (0.53±0.09).
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1177/0271678X211023660DOI Listing
June 2021

Construction of a Cascade Catalyst of Nanocoupled Living Red Blood Cells for Implantable Biofuel Cell.

ACS Appl Mater Interfaces 2021 Jun 8;13(24):28010-28016. Epub 2021 Jun 8.

Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals, Key Laboratory of Green Chemical Media and Reactions, Ministry of Education, School of Chemistry and Chemical Engineering and College of Physics and Materials Science, Henan Normal University, Xinxiang, Henan 453007, P. R. China.

The broad applications of implantable glucose biofuel cells (GBFCs) have become very attractive in biomedical sciences. The key challenge of GBFCs is eliminating the inevitable product HO generated from the oxidation of glucose when glucose oxidase (GOx) is used as a catalyst while improving the performance of GBFCs. In this work, the cascade electrocatalyst, [email protected] was obtained through the in situ polymerization of dopamine to form nanopolydopamine (NPDA) on the surface of red blood cells (RBCs). The [email protected] can catalyze both fuels of HO and O, so as to generate a high cathodic current (0.414 mA cm). Furthermore, when [email protected] was used as a cathodic catalyst in the membraneless GBFC, it exhibited the cascade catalytic activity in the reduction of O-HO and minimized the damage to RBCs caused by the high concentration of HO. The mechanism research indicates that [email protected] integrates the property of NPDA and RBCs. Specifically, NPDA plays a catalase-like role in catalyzing the decomposition of HO, while RBCs play a laccase-like role in electrocatalyzing the O reduction reaction. This work offers the cascade catalyst for improving the performance of implantable GBFC and presents a strategy for constructing catalysts using living cells and nanomaterials to replace deformable and unstable enzymes in other biofuel cells.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1021/acsami.1c01479DOI Listing
June 2021

Predicting Brain Regions Related to Alzheimer's Disease Based on Global Feature.

Front Comput Neurosci 2021 21;15:659838. Epub 2021 May 21.

Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.

Alzheimer's disease (AD) is a neurodegenerative disease that commonly affects the elderly; early diagnosis and timely treatment are very important to delay the course of the disease. In the past, most brain regions related to AD were identified based on imaging methods, and only some atrophic brain regions could be identified. In this work, the authors used mathematical models to identify the potential brain regions related to AD. In this study, 20 patients with AD and 13 healthy controls (non-AD) were recruited by the neurology outpatient department or the neurology ward of Peking University First Hospital from September 2017 to March 2019. First, diffusion tensor imaging (DTI) was used to construct the brain structural network. Next, the authors set a new local feature index 2hop-connectivity to measure the correlation between different regions. Compared with the traditional graph theory index, 2hop-connectivity exploits the higher-order information of the graph structure. And for this purpose, the authors proposed a novel algorithm called 2hopRWR to measure 2hop-connectivity. Then, a new index global feature score (GFS) based on a global feature was proposed by combing five local features, namely degree centrality, betweenness centrality, closeness centrality, the number of maximal cliques, and 2hop-connectivity, to judge which brain regions are related to AD. As a result, the top ten brain regions identified using the GFS scoring difference between the AD and the non-AD groups were associated to AD by literature verification. The results of the literature validation comparing GFS with the local features showed that GFS was superior to individual local features. Finally, the results of the canonical correlation analysis showed that the GFS was significantly correlated with the scores of the Mini-Mental State Examination (MMSE) scale and the Montreal Cognitive Assessment (MoCA) scale. Therefore, the authors believe the GFS can also be used as a new biomarker to assist in diagnosis and objective monitoring of disease progression. Besides, the method proposed in this paper can be used as a differential network analysis method for network analysis in other domains.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.3389/fncom.2021.659838DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175859PMC
May 2021
-->