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Portal System

The Portal System is a comprehensive network of digital resources and tools designed to facilitate seamless access to scientific literature, research protocols, and related information.
This system empowers researchers and scientists to navigate the vast landscape of biomedical knowledge, optimize their research workflows, and enhance the reproducibility of their studies.
By leveraging advanced AI-driven comparisons, the Portal System enables users to identify the most suitable protocols and products for their specific research needs, ultimately leading to improved research outcomes and greater scientific impact.
With its user-friendly interface and intuitive navigation, the Portal System streamlines the research process, allowing researchers to focus on their core objectives and drive innovation forward.

Most cited protocols related to «Portal System»

Briefly, the two key features of NASH, steatosis and inflammation, were categorized as follows: steatosis was determined by analyzing hepatocellular vesicular steatosis, i.e. macrovesicular steatosis and microvesicular steatosis separately, and by hepatocellular hypertrophy as defined below (Fig. 2). Inflammation was scored by analyzing the amount of inflammatory cell aggregates (Fig. 2). The proposed rodent scoring system is shown in Table 4 and options for its use in diagnosis are shown in S1 Fig. The purpose of this scoring system is however not to derive a single score, but to score the individual features.
Macrovesicular steatosis and microvesicular steatosis were both separately scored and the severity was graded, based on the percentage of the total area affected, into the following categories: 0 (<5%), 1 (5–33%), 2 (34–66%) and 3 (>66%). The difference between macrovesicular and microvesicular steatosis was defined by whether the vacuoles displaced the nucleus to the side (macrovesicular) or not (microvesicular). Similarly, the level of hepatocellular hypertrophy, defined as cellular enlargement more than 1.5 times the normal hepatocyte diameter, was scored, based on the percentage of the total area affected, into the following categories: 0 (<5%), 1 (5–33%), 2 (34–66%) and 3 (>66%). For hepatocellular hypertrophy the evaluation was merely based on abnormal enlargement of the cells, irrespective of rounding of the cells and/or changes in cytoplasm or the number of vacuoles, and is therefore not a substitute of ballooning. The unweight sum of the scores for steatosis (macrovesicular steatosis, microvesicular steatosis and hypertrophy) thus ranged from 0–9. Both steatosis and hypertrophy were evaluated at a 40 to 100× magnification and only the sheets of hepatocytes were taken into account (terminal hepatic venules and portal tracts etc were excluded).
Inflammation was evaluated by counting the number of inflammatory foci per field using a 100 x magnification (view size of 3.1 mm2). A focus was defined a cluster, not a row, of ≥5 inflammatory cells. Five different fields were counted and the average was subsequently scored into the following categories: normal (<0.5 foci), slight (0.5–1.0 foci), moderate (1.0–2.0 foci), severe (>2.0 foci).
Hepatic fibrosis was identified using Sirius Red stained slides at 40 x magnification and evaluated by scoring whether pathologic collagen staining was absent (only in vessels) or collagen staining observed within the liver slide, the latter further defined as mild, moderate or massive. In addition, the percentage of the total area affected was evaluated using using image analysis of surface area on Sirius red stained slides.
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Publication 2014
Blood Vessel Cell-Derived Microparticles Cell Enlargement Cell Nucleus Cells Collagen Cytoplasm Diagnosis Fibrosis, Liver Hepatocyte Hypertrophy Inflammation Liver Nonalcoholic Steatohepatitis Portal System Rodent Steatohepatitis Vacuole Venules

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Publication 2018
Adult Biopsy Fibrosis Fibrosis, Liver Gold Liver Non-alcoholic Fatty Liver Disease Patients Portal System
Functional annotation was performed by means of gene set enrichment analysis (GSEA, www.broad.mit.edu/gsea/).11 (link) Survival analyses were performed with the use of the log-rank test and Cox regression modeling. Subgroup analysis was performed on data from patients with a longer duration of follow-up (treated no later than 2004) and those with carcinoma classified as stage 0 or stage A according to the Barcelona Clinic Liver Cancer staging system (BCLC), which ranks hepatocellular carcinoma in five stages, ranging from 0 (very early stage) to D (terminal stage).1 (link),12 (link) The hazard function for tumor recurrence was calculated as previously described.10 (link),13 (link) All analyses were performed with the use of GenePattern14 (link) (www.broad.mit.edu/cancer/software/genepattern/) or the R statistical package (www.r-project.org). (See the Supplementary Appendix for details on the statistical analyses and methods of clonality analysis.)
Publication 2008
Carcinoma Genes Hepatocellular Carcinomas Malignant Neoplasms Neoplasms Patients Portal System Recurrence

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Publication 2011
Cancer of Liver Cells Donors Ethics Committees, Research Freezing Infection Liver Liver Cirrhosis Liver Diseases Neoplasms, Liver Pathologists Patients Portal System RNA, Messenger Tissues
Alcoholic and hepatitis B-associated cirrhotic liver samples (stage 3-4 fibrosis) were collected from donor livers during liver transplantation from the Liver Tissue Cell Distribution System (LTCDS), University of Minnesota. The LTCDs were supported by NIH Contract #N01-DK-7-0004 / HHSN267200700004C. Additional information on the sample preparation, age and gender of the donors is provided in the Supplemental Materials.
The details of the induction of liver injury and fibrosis by CCl4 and bile duct ligation (BDL) and the treatment protocols are described in the Supplemental Methods.
The determination of liver function, histology and immunohistochemistry, quantitative analysis of hepatic fibrosis are described in the Supplemental Methods.
The determination of hepatic PARP and myeloperoxidase activities, 4-hydroxynonenal (4-HNE), 3-nitrotyrosine (3-NT), and hydroxyproline contents, real-time PCR, Western immunoblot analysis are described in the Supplemental Methods.
Other procedures such as isolation and treatments of murine hepatic hepatocytes and stellate cells, cell death determination by flow cytometer and activation of hepatic stellate cells are also described in the Supplemental Methods.
Publication 2013
3-nitrotyrosine 4-hydroxy-2-nonenal Alcoholics CCL4 protein, human Cell Death Cells Cell Transplantation Determination of Death Donors Duct, Bile Fibrosis Fibrosis, Liver Hepatic Stellate Cells Hepatitis B Hepatocyte Hydroxyproline Immunohistochemistry Injuries isolation Ligation Liver Mus Peroxidase Portal System Real-Time Polymerase Chain Reaction Tissue Donors Tissues Tissue Transplantation Transplantation Treatment Protocols Western Blot

Most recents protocols related to «Portal System»

Tissue sections were prepared at a thickness of 4 μm and stained with hematoxylin and eosin according to standard procedures. Two experienced pathologists, who were blinded to the experimental details, assessed liver histology using an Eclipse E800 Microscope (Nikon, Kawasaki, Japan). Ishak scores (a liver fibrosis scoring system) were then determined for each tissue section.
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Publication 2023
Eosin Fibrosis Liver Microscopy Pathologists Portal System Tissues
Patients with HCC who underwent combination therapy of ICI (nivolumab, camrelizumab, sintilimab, pembrolizumab, toripalimab, atezolizumab, or tislelizumab) and lenvatinib for unresectable HCC at Zhongshan Hospital between February 2018 and December 2020 were retrospectively enrolled as the combination therapy cohort. Meanwhile, a cohort of patients with HCC receiving neoadjuvant combination therapy and subsequent surgical resection at the same institute from February 2019 to September 2021 was recruited as the neoadjuvant cohort. The inclusion criteria for patients were listed as follows: (1) histopathological or radiological diagnosis of HCC; (2) without a history of other malignancies; (3) availability of complete clinicopathological features and follow-up data; (4) at least one radiological evaluation after the initiation of treatment. Patients without measurable intrahepatic foci were excluded from the analysis.
Clinicopathological information, radiological data, and laboratory parameters at baseline (within 30 days before the start of therapy) were collected. The tumor stage was classified under the Barcelona Clinic Liver Cancer (BCLC) staging system (21 (link)). Liver function was evaluated based on the Child-Pugh score (22 (link)). Approval for this study was granted by the Ethics Committee of Zhongshan Hospital (No. B2020-401) and informed consent was obtained from each patient included in the analysis.
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Publication 2023
atezolizumab camrelizumab Child Combined Modality Therapy Ethics Committees, Clinical lenvatinib Liver Malignant Neoplasms Neoadjuvant Therapy Neoplasms Nivolumab Operative Surgical Procedures Patients pembrolizumab Portal System sintilimab Therapeutics tislelizumab toripalimab X-Rays, Diagnostic
A total of 304 patients treated with lenvatinib monotherapy or lenvatinib plus ICI as first-line treatment for uHCC at Zhongshan Hospital between October 2018 and December 2020 were retrospectively included. The inclusion criteria were: clinically diagnosed as HCC; the Barcelona Clinic Liver Cancer (BCLC) B-C stage; lenvatinib for more than one month; at least one imaginary follow-up; complete baseline information. Tumor differentiation was assessed using the Edmondson grading system and liver function was evaluated using the Child-Pugh scoring system. The BCLC system (14 (link)) and The Guidelines of Primary Liver Cancer in China (15 (link)) were used to determine the tumor stage. To avoid potential bias, the included patients were randomly assigned to the training cohort and validation cohort at a 2:1 ratio. The research was conducted in accordance with the declaration of Helsinki and ethical approvals were obtained from the ethics committee of Zhongshan hospital (B2020-401).
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Publication 2023
Cancer of Liver Child Ethics Committees, Clinical lenvatinib Liver Malignant Neoplasms Neoplasms Patients Portal System Staging, Cancer
We conducted a retrospective cohort study among adult patients with cirrhosis from 12 US health systems in the North American Liver Cancer Consortium.18 (link),19 (link) All sites were academic tertiary care referral centers with associated liver transplant programs, although 1 site had an associated safety-net health system. We included patients with cirrhosis who had at least 1 subcentimeter liver lesion between January 2017 and December 2019. Cirrhosis diagnosis was based on (1) histology, (2) noninvasive markers of fibrosis (eg, transient or MR elastography or blood-based biomarker panels) demonstrating F4 fibrosis or (3) cirrhotic-appearing liver on imaging with signs of portal hypertension (eg, intra-abdominal varices, ascites). Individuals with coexistent liver lesions ≥1 cm or any history of PLC were excluded. This study was approved by the institutional review boards at each site.
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Publication 2023
Abdominal Cavity Adult Ascites Biological Markers Diagnosis Ethics Committees, Research Fibrosis Grouping, Blood Liver Liver Cirrhosis Liver Transplantations Malignant Neoplasms North American People Patients Portal Hypertension Portal System Safety Sonoelastography Transients Varices
The fatty liver index (FLI) is a well-known non-invasive and accurate predictor of hepatic steatosis in the general population. FLI is an algorithm of both anthropometric data and biochemical tests, including body mass index (BMI), waist circumference (WC), gamma-glutamyl transferase (GGT), and triglyceride (TG). We calculated FLI by the following formula (15 (link)):
FLindex=(e0.953×loge(TG)+0.139×BMI+0.718×loge(GGT)+0.053×WC15.745)    /(1+e0.953×loge(TG)+0.139×BMI+0.718×loge(GGT)+0.053×waist circumference15.745)×100
FLI values are between 0 and 100, where an FLI ≥ 60 detects hepatic steatosis with an accuracy of 0.84 (95% confidence interval (CI) 0.81–0.87) (15 (link)). This index is widely used to detect hepatic steatosis in extensive epidemiological studies. FLI is also strongly associated with the severity of hepatic steatosis in the general population (16 (link)).
The fibrosis-4 (FIB-4) index is a non-invasive scoring system for predicting hepatic fibrosis in many large-scale epidemiological studies (12 (link), 17 (link)). FIB-4 is an algorithm of biochemical tests and calculated using the following formula:
The cut-off points of FIB for predicting hepatic fibrosis were set at 1.05 in individuals aged ≤ 49 years, 1.24 in 50–59 years, 1.88 in 60–69 years, and 1.95 in ≥ 70 years with the area under the receiver operating characteristic curve (AUROC) of 0.917, 0.849, and 0.855, respectively (18 (link)).
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Publication 2023
Fibrosis Fibrosis, Liver gamma-Glutamyl Transpeptidase Index, Body Mass Portal System Steatohepatitis Triglycerides Waist Circumference

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More about "Portal System"

The Portal System is a cutting-edge, AI-powered platform designed to revolutionize biomedical research by providing seamless access to a wealth of scientific resources and tools.
This comprehensive network, also known as the PubCompare.ai system, empowers researchers and scientists to navigate the vast landscape of biomedical knowledge with ease.
At the heart of the Portal System lies advanced AI-driven comparisons that enable users to identify the most suitable research protocols and products for their specific needs.
This optimization process not only streamlines the research workflow but also enhances the reproducibility of scientific studies, leading to improved research outcomes and greater scientific impact.
The Portal System's user-friendly interface and intuitive navigation make it a indispensable tool for researchers.
By leveraging features like the SILS Port, RETI-port/scan 21 system, DVB/CAR/PDMS, Resight, Cobicistat, BX51 microscope, RNAlater, Axio Imager Z1 microscope, and RETIport system, researchers can seamlessly access and analyze a vast array of biomedical data, from scientific literature and research protocols to patents and preprints.
This AI-driven platform, with its ability to identify the most suitable protocols and products, empowers researchers to focus on their core objectives and drive innovation forward.
With the Portal System, the research process becomes more efficient, collaborative, and impactful, ultimately furthering the advancement of scientific knowledge and discovery.