Quantitative anatomy of the large variant right hepatic vein: A systematic three-dimensional analysis.

Anatomical variations of the right hepatic vein, especially large variant right hepatic veins (≥5 mm), have important clinical implications in liver transplantation and resection. This study aimed to evaluate anatomical variations of the right hepatic vein using quantitative three-dimensional visualization analysis. Computed tomography images of 650 patients were retrospectively analyzed, and three-dimensional visualization was applied using the derived data to analyze large variant right hepatic veins. The proportion of the large variant right hepatic vein was 16.92% (110/650). According to the location and number of the variant right hepatic veins, the configuration of the right hepatic venous system was divided into seven subtypes. The length of the retrohepatic inferior vena cava had a positive correlation with the diameter of the right hepatic vein (rs = 0.266, p = 0.001) and the variant right hepatic veins (rs = 0.211, p = 0.027). The diameter of the right hepatic vein was positively correlated with that of the middle hepatic vein (rs = 0.361, p < 0.001), while it was inversely correlated with that of the variant right hepatic veins (rs = -0.267, p = 0.005). The right hepatic vein diameter was positively correlated with the drainage volume (rs = 0.489, p < 0.001), while the correlation with the variant right hepatic veins drainage volume was negative (rs = -0.460, p < 0.001). The number of the variant right hepatic veins and their relative diameters were positively correlated (p < 0.001). The volume and percentage of the drainage area of the right hepatic vein decreased significantly as the number of the variant right hepatic vein increased (p < 0.001). The findings of this study concerning the variations of the hepatic venous system may be useful for the surgical planning of liver resection or transplantation.

Laparoscopic right hemi-hepatectomy plus total caudate lobectomy for perihilar cholangiocarcinoma via anterior approach with augmented reality navigation: a feasibility study.

BACKGROUND: Right hemi-hepatectomy plus total caudate lobectomy is the appropriate procedure for type IIIa or partial type II pCCA. However, the laparoscopic implementation of this procedure remains technically challenging, especially hilar vascular dissection and en bloc resection of the total caudate lobe. Augmented reality navigation can provide intraoperative navigation to enhance visualization of invisible hilar blood vessels and guide the parenchymal transection plane. METHODS: Eleven patients who underwent laparoscopic right hemi-hepatectomy plus total caudate lobectomy from January 2021 to January 2023 were enrolled in this study. Augmented reality navigation technology and the anterior approach were utilized in this operation. Routine operative and short-term postoperative outcomes were assessed to evaluate the feasibility of the novel navigation method in this operation. RESULTS: Right hemi-hepatectomy plus total caudate lobectomy was successfully performed in all 11 enrolled patients. Among the 11 patients, the mean operation time was 454.5 ± 25.0 min and the mean estimated blood loss was 209.1 ± 56.1 ml. Negative surgical margins were achieved in all patients. The postoperative course of all the patients was uneventful, and the mean length of postoperative hospital stay was 10.5 ± 1.2 days. CONCLUSION: Laparoscopic right hemi-hepatectomy plus total caudate lobectomy via the anterior approach may be feasible and safe for pCCA with the assistance of augmented reality navigation.

Augmented Reality Navigation Plus Indocyanine Green Fluorescence Imaging Can Accurately Guide Laparoscopic Anatomical Segment 8 Resection.

BACKGROUND: Laparoscopic anatomical Segment 8 (S8) resection is a highly challenging hepatectomy. Augmented reality navigation (ARN), which could be combined with indocyanine green (ICG) fluorescence imaging, has been applied in various complex liver resections and may also be applied in laparoscopic anatomical S8 resection. However, no study has explored how to apply ARN plus ICG fluorescence imaging (ARN-FI) in laparoscopic anatomical S8 resection, or explored its accuracy. PATIENTS AND METHODS: This study is a post hoc analysis that included 31 patients undergoing laparoscopic anatomical S8 resection from the clinical NaLLRFI trial, and the resected liver volume was measured in each patient. The perioperative parameters of safety and feasibility, as well as the accuracy analysis outcomes were compared. RESULTS: There were 16 patients in the ARN-FI group and 15 patients underwent conventional laparoscopic hepatectomy without ARN or fluorescence imaging (non-ARN-FI group). There was no significant difference in baseline characteristics between the two groups. Compared with the non-ARN-FI group, the ARN-FI group had lower intraoperative bleeding (median 125 vs. 300 mL, P = 0.003). No significant difference was observed in other postoperative short-term outcomes. Accuracy analysis indicated that the actual resected liver volume (ARLV) in the ARN-FI group was more accurate. CONCLUSIONS: ARN-FI was associated with less intraoperative bleeding and more accurate resection volume. These techniques may address existing challenges and provide rational guidance for laparoscopic anatomical S8 resection.

Indocyanine green fluorescence imaging to localize insulinoma and provide three-dimensional demarcation for laparoscopic enucleation: a retrospective single-arm cohort study.

BACKGROUND: Indocyanine green (ICG) fluorescence imaging is a new technology that can improve the real-time location of tumor edges and small nodules during surgery. However, no study has investigated its application in laparoscopic insulinoma enucleation. This study aimed to evaluate the feasibility and accuracy of this method for intraoperative localization of insulinomas and margin assessment during laparoscopic insulinoma enucleation. MATERIALS AND METHODS: Eight patients who underwent laparoscopic insulinoma enucleation from October 2016 to June 2022 were enrolled. Two methods of ICG administration, ICG dynamic perfusion and three-dimensional (3D) demarcation staining, were utilized in the laparoscopic insulinoma enucleation. Tumor-to-background ratio (TBR) and histopathologic analysis were used to evaluate the feasibility and accuracy of these novel navigation methods in laparoscopic insulinoma enucleation. RESULTS: All eight enrolled patients underwent both ICG dynamic perfusion and 3D demarcation staining. ICG dynamic perfusion images were available for six of them, among which five tumors could be recognized by TBR (largest TBR in each case 4.42±2.76), while the other could be distinguished by the disordered blood vessels in the tumor area. Seven out of eight specimens had successful 3D demarcation staining (TBR 7.62±2.62). All wound bed margins had negative frozen sections and final histopathologic diagnoses. CONCLUSIONS: ICG dynamic perfusion may be helpful in observing the abnormal vascular perfusion of tumors, providing similar functionality to intraoperative real-time angiography. ICG injection under the tumor pseudocapsule may be a useful method for acquiring real-time, 3D demarcation for the resection of insulinoma.

Laparoscopic modular extended right posterior sectionectomy for hepatocellular carcinoma guided by projection plane extension from the right hepatic vein.

BACKGROUND: Extended right posterior sectionectomy (ERPS) preserves more liver parenchyma than right hepatectomy when hepatocellular carcinoma (HCC) is in the right posterior section (RPS) and part of the right anterior section (RAS), but the difficulty lies in the precise determination of the cutting plane, especially under laparoscopy.[Torzilli et al. in Annals of surgery. 247:603-611, 2008] If the right hepatic vein (RHV) is not invaded by the tumor, it can help to divide the ventral and dorsal plane (VP, DP) as surgical landmark.[Makuuchi in International Journal of Surgery. 11:S47-S49, 2013] (Fig. 1) This study presented a laparoscopic modular ERPS (LMERPS) guided by projection plane extension from the RHV. Fig. 1 Projection plane extending from the right hepatic vein. a & b: The VP was bounded by the RHV and its projection; c & d: The DP was bounded by the RHV, IVC, and DL of the RPS and RAS. RHV, right hepatic vein; VP, ventral plane; DP, dorsal plane; IVC, inferior vena cava; DL, demarcation line; RPS, right posterior section; RAS, right anterior section METHODS: A 56-year-old man was seen with HCC in the (RPS) and segment 8 following two laparotomies. After releasing intraperitoneal adhesions, the short hepatic veins were severed to expose the inferior vena cava (IVC). The right posterior Glission pedicle (RPGP) was clamped to control RPS inflow and allow determination of the demarcation line (DL) between the RPS and RAS using ICG fluorescence staining.[Chen et al. in Annals of surgical oncology. 29:2034-2040, 2022] Intraoperative ultrasound identified the RHV projection to satisfy the requirements of oncologic treatment. The VP and DP were incised along the DL and RHV projection. The RHV was exposed fully on the cutting plane and the tumor was completely removed finally. RESULTS: The operation was completed in 265 min, with a blood loss of 50 ml. The diagnosis was HCC with a negative resection margin. The patient was discharged on postoperative day 8 without any complications. CONCLUSION: LMERPS guided by a projection plane extending from the RHV is feasible and effective.

SRAM-Based CIM Architecture Design for Event Detection.

Convolutional neural networks (CNNs) play a key role in deep learning applications. However, the high computational complexity and high-energy consumption of CNNs trammel their application in hardware accelerators. Computing-in-memory (CIM) is the technique of running calculations entirely in memory (in our design, we use SRAM). CIM architecture has demonstrated great potential to effectively compute large-scale matrix-vector multiplication. CIM-based architecture for event detection is designed to trigger the next stage of precision inference. To implement an SRAM-based CIM accelerator, a software and hardware co-design approach must consider the CIM macro's hardware limitations to map the weight onto the AI edge devices. In this paper, we designed a hierarchical AI architecture to optimize the end-to-end system power in the AIoT application. In the experiment, the CIM-aware algorithm with 4-bit activation and 8-bit weight is examined on hand gesture and CIFAR-10 datasets, and determined to have 99.70% and 70.58% accuracy, respectively. A profiling tool to analyze the proposed design is also developed to measure how efficient our architecture design is. The proposed design system utilizes the operating frequency of 100 MHz, hand gesture and CIFAR-10 as the datasets, and nine CNNs and one FC layer as its network, resulting in a frame rate of 662 FPS, 37.6% processing unit utilization, and a power consumption of 0.853 mW.

Augmented reality navigation facilitates laparoscopic removal of foreign body in the pancreas that cause chronic complications.

BACKGROUND: Foreign bodies that enter the pancreas and cause chronic complications cannot be removed by endoscopy. Surgical removal is necessary but also challenging. The development of augmented reality navigation has made it possible to accurate intraoperative navigation in laparoscopic surgery. METHODS: A 37-year-old female had epigastric pain for 3 months and her abdominal CT showed a linear high-density shadow in her pancreas along with chronic pancreatitis. Three-dimensional models of the liver, pancreas, stomach, blood vessels, and foreign body were created based on CT images. Gastroptosis was found in the three-dimensional models, so surgical approach was adapted to open the hepatogastric ligament to reach the pancreas. After 2-3 s of video images were captured by 3D laparoscopy, a three-dimensional dense stereo-reconstruction method was used to obtain the surface model of pancreas, stomach, and blood vessels. The Globally Optimal Iterative Closest Point method was used to obtain a spatial transformation matrix between the preoperative CT image space and the intraoperative laparoscopic space. Under augmented reality navigation guidance, the position and location of the foreign body were displayed on the surface of the pancreas. Then intraoperative ultrasound was used for further verification and to quickly and easily confirm the surgical entrance. After minimal dissection and removal of the pancreatic parenchyma, the foreign body was removed completely. RESULTS: The operation time was 60 min, the estimated blood loss was 10 ml. The foreign body was identified as a 3-cm-long fishbone. The patient recovered without complications and was discharged on the third postoperative day. CONCLUSION: Because it enables direct visual navigation via simple operation, ARN facilitates the laparoscopic removal of foreign bodies in the pancreas with accurate and rapid positioning and minimal damage.

Identification of a Four Cancer Stem Cell-Related Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival of Pancreatic Adenocarcinoma.

BACKGROUND: Cancer stem cells (CSCs) are now being considered as the initial component in the development of pancreatic adenocarcinoma (PAAD). Our aim was to develop a CSCrelated signature to assess the prognosis of PAAD patients for the optimization of treatment. METHODS: Differentially expressed genes (DEGs) between pancreatic tumor and normal tissue in the Cancer Genome Atlas (TCGA) were screened out, and the weighted gene correlation network analysis (WGCNA) was employed to identify the CSC-related gene sets. Then, univariate, Lasso Cox regression analyses and multivariate Cox regression were applied to construct a prognostic signature using the CSC-related genes. Its prognostic performance was validated in TCGA and ICGC cohorts. Furthermore, Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors in PAAD, and a prognostic nomogram was established. RESULTS: The Kaplan-Meier analysis, ROC curve and C-index indicated the good performance of the CSC-related signature at predicting overall survival (OS). Univariate Cox regression and multivariate Cox regression revealed that the CSC-related signature was an independent prognostic factor in PAAD. The nomogram was superior to the risk model and AJCC stage in predicting OS. In terms of mutation and tumor immunity, patients in the high-risk group had higher tumor mutation burden (TMB) scores than patients in the low-risk group, and the immune score and the ESTIMATE score were significantly lower in the high-risk group. Moreover, according to the results of principal component analysis (PCA) and Gene Set Enrichment Analysis (GSEA), the low-risk and high-risk groups displayed different stemness statuses based on the risk model. CONCLUSION: Our study identified four CSC-related gene signatures and established a prognostic nomogram that reliably predicts OS in PAAD. The findings may support new ideas for screening therapeutic targets to inhibit stem characteristics and the development of PAAD.

Laparoscopic in Situ Anatomical Mesohepatectomy for Solitary Massive HCC Using Combined Intrafascial and Extrafascial Approaches With Indocyanine Green Navigation (with Video).

BACKGROUND: Laparoscopic anatomic mesohepatectomy for patients with hepatocellular carcinoma (HCC) remains technically challenging, especially for those with a massive tumor larger than 10 cm. METHODS: In this study, a 65-year-old man with a 13 × 10-cm2 solitary liver tumor located at segments 4, 5, and 8 underwent laparoscopic mesohepatectomy. To reduce the possibility of releasing cancer cells from the primary tumor, the in situ resection strategy for tumor removal was implemented. The intrafascial approach was used to dissect the right Glissonean pedicle, to transect the right anterior hepatic artery, and to ligate the right anterior portal vein. The extrafascial and transfissural approach was performed along the umbilical fissure to transect the Glissonean pedicle of segment 4. Indocyanine green (ICG) then was applied using "reverse staining" to visualize the resection extent and the right posterior hepatic duct (RPHD). During parenchymal resection, the right anterior Glissonean pedicle was adequately exposed and transected via the extrafascial approach above the plane of the RPHD. Finally, the right coronary ligament was dissected, and the tumor was removed. RESULTS: The operation was completed in 360 min, with a blood loss of 200 mL. The histopathologic diagnosis indicated a moderately differentiated HCC. The patient was discharged on postoperative day 8 without any complications. CONCLUSION: Laparoscopic in situ anatomic mesohepatectomy using combined intra- and extrafascial approaches with ICG navigation may be feasible for patients with a centrally located solitary massive HCC.

Study on the difference in exciton generation processes for a single host and exciplex-type co-host.

We distinctly reveal the difference in the exciton generation processes in phosphorescent organic light-emitting devices with an exciplex-type co-host and a single host. Excitons in the co-host consisting of 4,4,4-tris(N-carbazolyl)-triphenylamine and 1,3,5-tris(N-phenylbenzimidazol-2-yl)benzene are created via efficient energy transfer from the exciplex to the phosphorescent dopant. In contrast, excitons in the single host of 4,4,4-tris(N-carbazolyl)-triphenylamine are formed by the combination of holes and electrons trapped by the phosphorescent dopants. The optimized device utilizing the co-host system exhibits highly superior performance relative to the single-host device. The maximum external quantum efficiency and maximum luminance are 14.88% and 90,700cd/m2 for the co-host device, being 1.6 times and 3.6 times the maximum external efficiency and maximum luminance for the single-host device, respectively. Significantly, the critical current density, evaluating the device efficiency roll-off characteristic, is as high as 327.8mA/cm2, which is highly superior to 120.8mA/cm2 for the single-host device, indicating the notable alleviation in efficiency roll-off for the co-host device. The significant improvement in device performance is attributed to eliminating the exciton quenching resulting from the captured holes and the efficient energy transfer from the exciplex-type co-host to the phosphorescent emitter incurred by the reverse intersystem crossing process.

Comprehensive analysis of an immune-related ceRNA network in identifying a novel lncRNA signature as a prognostic biomarker for hepatocellular carcinoma.

The function of competitive endogenous RNA (ceRNA) network in the immune regulation of hepatocellular carcinoma (HCC) is unclear. Our study aimed to construct an immune-related ceRNA network and develop an immune-related long noncoding RNA (lncRNA) signature to assess the prognosis of HCC patients and to optimize the treatment methods. We firstly constructed a ceRNA regulatory network for HCC using differentially expressed lncRNAs, mRNAs and microRNAs (miRNAs) from the Cancer Genome Atlas. A signature was constructed by 11 immune-related prognostic lncRNAs from the ceRNA network. The survival analysis and receiver operating characteristic analysis validated the reliability of the signature. Multivariate Cox regression analysis revealed that the signature could act an independent prognostic indicator. This signature also showed high association with immune cell infiltration and immune check blockades. LINC00491 was identified as the hub lncRNA in the signature. In vitro and in vivo evidence demonstrated that silencing of LINC00491 significantly inhibited HCC growth. Finally, 59 lncRNAs, 21 miRNAs, and 26 mRNAs were obtained to build the immune-related ceRNA network for HCC. In conclusion, our novel immune-related lncRNA prognostic signature and the immune-related ceRNA network might provide in-depth insights into tumor-immune interaction of HCC and promote better individual treatment strategies in HCC patients.

Laparoscopic anatomic combined subsegmentectomy of segment 8 via the tailored strategy using digital intelligent technology.

INTRODUCTION: Segment 8 is considered the largest liver segment, and its portal vein branches are generally divided into four parts, including ventral, dorsal, dorsolateral and medial branches (Shindoh et al., 2010; Takayasu et al., 1985) [1,2]. An anatomic combined subsegmentectomy could satisfy both the oncological quality of anatomical resection and the safety of parenchyma sparing principle if a small hepatocellular carcinoma is located between the hepatic subsegments (Berardi et al., 2021) [3]. Yet, laparoscopic anatomic combined subsegmentectomy of segment 8 is still technically challenging. The development of digital intelligent technology has made it possible to tailored preoperative planning and accurate intraoperative navigation in laparoscopic surgery. VIDEO: A 57-year-old man underwent a routine CT scan and was found to have a mass occupation in segment 8 of the liver. Three-dimensional reconstruction was performed to evaluate liver anatomy, vascular variations, and volume of each vascular unit as well as the location of the tumor, its relationship with the liver anatomy, and the Glissonian pedicles feeding the tumor-bearing area. Based on the reconstructed model, resection was planned aiming to the narrowest but oncologically safe anatomical tumor-bearing area. Upon evaluation, anatomic combined subsegmentectomy of segment 8 (ventral and medial subsegments) was confirmed. The operation was performed precisely under assistance of the Laparoscopic Hepatectomy Navigation System (LHNS, software copyright No. 2018SR840555) (Yang et al., 2020) [4]. RESULTS: The operation lasted 200 min with 50 ml intraoperative blood loss. There were no postoperative complications, and the patient was discharged after 6 days. CONCLUSION: Digital intelligent technology could provide tailored strategy for laparoscopic liver surgery, which makes laparoscopic anatomic combined subsegmentectomy of segment 8 feasible and effective.

Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly.

OBJECTIVES: To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly. METHODS: The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1. RESULTS: Mean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml, p = 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (p = 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days, p = 0.040). CONCLUSIONS: ARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly.

Development of a Machine Learning Classifier for Brain Tumors Diagnosis Based on DNA Methylation Profile.

Background: More than 150 types of brain tumors have been documented. Accurate diagnosis is important for making appropriate therapeutic decisions in treating the diseases. The goal of this study is to develop a DNA methylation profile-based classifier to accurately identify various kinds of brain tumors. Methods: Thirteen datasets of DNA methylation profiles were downloaded from the Gene Expression Omnibus (GEO) database, of which GSE90496 and GSE109379 were used as the training set and the validation set, respectively, and the remaining 11 sets were used as the independent test set. The random forest algorithm was used to select the CpG sites based on the importance of the features and a multilayer perceptron (MLP) model was trained to classify the samples. Deconvolution with the debCAM package was used to explore the cellular composition difference among tumors. Results: From training datasets with 2,801 samples, 396,568 CpG sites were retained after preprocessing, of which 767 were selected as the modeling features. A three-layer MLP model was developed, which consists of 1,320 nodes in the hidden layer, to predict the histological types of brain tumors. The prediction accuracy is 99.2, 87.0, and 96.58%, respectively, on the training, validation and test sets. The results of deconvolution analysis showed that the cell proportions of different tumor subtypes were different, and it is approximately enough to distinguish different tumor entities. Conclusion: We developed a classifier that is robust for the classification of central nervous system tumors, and tried to analyze the reasons for the classification performance.

A novel method of fluorescent imaging can guide hepatectomy for intrahepatic cholangiocarcinoma with intrahepatic biliary obstruction.

OBJECTIVE: The aim of this study was to present a novel bile-duct obstructed area imaging (BOAI) and to investigate the feasibility and accuracy of this method in guiding hepatectomy for intrahepatic cholangiocarcinoma (ICC) with intrahepatic biliary obstruction. METHODS: From May 2017 to October 2019, eligible patients who underwent hepatectomy guided by BOAI were enrolled. Perioperative outcomes and operative data were analyzed. To assess the feasibility of BOAI and Glissonean pedicle approach, demarcations based on them were compared. To verify the accuracy of BOAI staining of the target territory, simple linear regression analysis, and intraclass correlation coefficient were used to examine the relationship between predicted resected liver volume (PRLV) and actual resected liver volume (ARLV). RESULTS: BOAI staining achieved valid demarcation in 15 (93.8%) of 16 patients, whereas the ischemic line achieved valid demarcation in only nine patients (57.3%; p = .017). ARLV and PRLV had a strong positive correlation (PRLV = 60.06 + 0.925 × ARLV; R = .945; p = .000). Meanwhile, ARLV (intraclass correlation coefficient = .971) achieved an excellent agreement with PRLV (p < .001). CONCLUSIONS: The novel BOAI staining method can provide valid, feasible, and accurate demarcation line and may be an effective method in the surgical treatment of intrahepatic biliary obstruction.

Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis.

Background: At present, laboratory blood tests to support major depressive disorder (MDD) diagnosis are not available. This study aimed to screen potential mRNAs for peripheral blood biomarkers and novel pathophysiology of MDD. Methods: The present study utilized public data from two mRNA microarray datasets to analyze the hub genes changes related to MDD. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of differentially expressed genes (DEGs) were performed. Finally, some potential mRNA quality biomarkers for hub gene expression in blood were identified. Results: A total of 25 significantly co-upregulated DEGs and 98 co-downregulated DEGs were obtained from two datasets. The pathway enrichment analyses showed that co-upregulated genes were significantly enriched in the regulation of cell-matrix adhesion and mitochondrial membrane permeability which were involved in the apoptotic process. Co-downregulated genes were mainly involved in the neutrophil activation which in turn was involved in the immune response, degranulation and cell-mediated immunity, positive regulation of immune response, the Toll-like receptor signaling pathway, and the NOD-like receptor signaling pathway. From the PPI network, 14 hub genes were obtained. Among them, the subnetworks of PLCG1, BCL2A1, TLR8, FADD, and TLR4 screened out from our study have been shown to play a role in immune and inflammation responses. Discussion: The potential molecular mechanisms that have been identified simultaneously include innate immunity, neuroinflammation, and neurotrophic factors for synapse function and development.

Expression, Purification, and Antiserum Production of the Truncated UL31 Protein of Herpes Simplex Virus 1.

BACKGROUND: The UL31 protein of herpes simplex virus 1 (HSV-1) plays an important role in the HSV-1 replication, however, its pinpoint functions in the life cycle of the virus have yet to be adequately elucidated. OBJECTIVES: An antiserum specific for detecting HSV-1 UL31 was prepared as the foundation for future research on the role of UL31 in the course of HSV-1 infection. MATERIALS AND METHODS: Recombinant protein of UL31 was expressed in Escherichia coli, which was then purified and employed to raise the level of antiserum in mice. Subsequently, western blot and immunofluorescence assay (IFA) were utilized to detect the specific antiserum. RESULTS: The recombinant UL31 protein consisting of N-terminal 27 aa of UL31 was fused to EYFP and His-tag. It was expressed, purified, and applied to the preparation of the antiserum. Western blot analysis and IFA demonstrated that this antiserum could detect both the recombinant UL31 and the native UL31. CONCLUSIONS: Our results manifest that this antiserum could be conducive to further investigations concerning the roles of UL31 in the HSV-1 infection.

Molecular Characterization of the Epstein-Barr Virus BGLF2 Gene, its Expression, and Subcellular Localization.

BACKGROUND: Epstein-Barr virus (EBV) is a universal herpes virus which can cause a life-long and largely asymptomatic infection in the human population. However, the exact pathogenesis of the EBV infection is not well known. OBJECTIVE: A comprehensive bioinformatics prediction was carried out for investigating the molecular properties of the BGLF2 and to afford a foundation for future research of the role and instrument of BGLF2 in the course of EBV infection. MATERIALS AND METHODS: A 1011-base-pair sequence of BGLF2 gene from the Epstein-Barr virus (EBV) Akata strain genome was amplified using polymerase chain reaction and was further characterized by cloning, sequencing, and subcellular localization in the COS-7 cells. RESULTS: The bioinformatics analysis demonstrated that EBV BGLF2 gene encodes a putative BGLF2 polypeptide which contains a conservative Herpes_UL16 domain. It was established that the polypeptide shows a close relationship with the Herpes UL16 tegument protein family and is extremely conserved among its homologues proteins encoded by UL16 genes. Multiple sequence alignments of the nucleic acid and amino acid sequence showed that the gene product of EBV BGLF2 contains a comparatively higher homology with the BGLF2-like proteins of the subfamily Gammaherpesvirinae than that of other subfamilies of the herpes virus. Moreover, the phylogenetic analyses suggested that EBV BGLF2 has a close genetic relationship with the member of Gammaherpesvirinae; in particular with the members of Cercopithecine herpesvirus 15 and Callitrichine herpesvirus 3. An antigen epitope analysis indicated that BGLF2 contains several potential B-cell epitopes. In addition, the secondary structure, as well as the three dimensional structure prediction suggests that BGLF2 consists of the both α-helix and ß-strand. Besides, the subcellular localization prediction revealed that BGLF2 localizes in both nucleus and cytoplasm. CONCLUSIONS: Illustrating the relevance of the molecular properties and genetic evolution of EBV, BGLF2 will offer the perspectives for further study on the role and mechanism of the BGLF2 in course of EBV infection. These works will also conduct our understanding of the EBV at the molecular level as well as enriching the herpesvirus database.

Reduction pathway and mechanism of chloronitrobenzenes synergistically catalyzed by bioPd and Shewanella oneidensis MR-1 assisted by calculation.

Although microbial synthesized palladium nanoparticles (bioPd) have been demonstrated to exhibit a great activity toward dechlorination of several chlorinated pollutants, there is no systematic investigation into the substituent effect on dechlorination. Chloronitrobenzenes are widely used for manufacturing and known as persistent pollutants with recalcitrance of biodegradation for nitro groups. In this work, bioPd was synthesized by Shewanella oneidensis MR-1. The dechlorination of 2-chloronitrobenzene, 4-chloronitrobenzene and 2,4-dichloronitrobenzene catalyzed by bioPd were investigated. Simultaneous dechlorination and nitro reduction were observed by synergistic catalysis of bioPd and S. oneidensis MR-1. Pd concentration was optimized for the reduction. Producing profiles of intermediates changed with the ratio of Pd to cell, supporting a size- or shape-controlled catalytic activity of bioPd. The removal of chloro atoms at para-position was easier than that at ortho-position in 2,4-DCNB, suggesting a position effect on the reduction, which was further supported by the frontier molecular orbital and frontier electron density of 2,4-DCNB according to density functional theory.