The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform

Alexis Desmouliere - One of the best experts on this subject based on the ideXlab platform.

  • the myofibroblast a key cell in normal and Pathological Tissue repair
    Cellular and Molecular Life Sciences, 2016
    Co-Authors: Ian A Darby, Noraina Zakuan, Fabrice Billet, Alexis Desmouliere
    Abstract:

    Myofibroblasts are characterized by their expression of α-smooth muscle actin, their enhanced contractility when compared to normal fibroblasts and their increased synthetic activity of extracellular matrix proteins. Myofibroblasts play an important role in normal Tissue repair processes, particularly in the skin where they were first described. During normal Tissue repair, they appear transiently and are then lost via apoptosis. However, the chronic presence and continued activity of myofibroblasts characterize many fibrotic pathologies, in the skin and internal organs including the liver, kidney and lung. More recently, it has become clear that myofibroblasts also play a role in many types of cancer as stromal or cancer-associated myofibroblast. The fact that myofibroblasts are now known to be key players in many pathologies makes understanding their functions, origin and the regulation of their differentiation important to enable them to be regulated in normal physiology and targeted in fibrosis, scarring and cancer.

  • The myofibroblast, multiple origins for major roles in normal and Pathological Tissue repair
    Fibrogenesis & Tissue Repair, 2012
    Co-Authors: Ludovic Micallef, Bernard Coulomb, Fabrice Billet, Nicolas Vedrenne, Ian Darby, Alexis Desmouliere
    Abstract:

    Myofibroblasts differentiate, invade and repair injured Tissues by secreting and organizing the extracellular matrix and by developing contractile forces. When Tissues are damaged, Tissue homeostasis must be re-established, and repair mechanisms have to rapidly provide harmonious mechanical Tissue organization, a process essentially supported by (myo)fibroblasts. Under physiological conditions, the secretory and contractile activities of myofibroblasts are terminated when the repair is complete (scar formation) but the functionality of the Tissue is only rarely perfectly restored. At the end of the normal repair process, myofibroblasts disappear by apoptosis but in Pathological situations, myofibroblasts likely remain leading to excessive scarring. Myofibroblasts originate from different precursor cells, the major contribution being from local recruitment of connective Tissue fibroblasts. However, local mesenchymal stem cells, bone marrow-derived mesenchymal stem cells and cells derived from an epithelial-mesenchymal transition process, may represent alternative sources of myofibroblasts when local fibroblasts are not able to satisfy the requirement for these cells during repair. These diverse cell types probably contribute to the appearance of myofibroblast subpopulations which show specific biological properties and which are important to understand in order to develop new therapeutic strategies for treatment of fibrotic and scarring diseases.

Guohan Chen - One of the best experts on this subject based on the ideXlab platform.

  • VHL expression level in the Pathological Tissue is significantly associated with clinical outcomes of platinum-based chemotherapy in non-small cell lung cancer patients. (withdrawn 03/11/2021)
    Diagnostic Pathology, 2021
    Co-Authors: Yejun Cao, Lingwei Wang, Qiying Zhang, Yang Han, Jie Liu, Jinyi Wang, Zhengliang Sun, Tian Zhao, Guohan Chen
    Abstract:

    Objective  To investigate the association between expression level of VHL in Pathological Tissue and outcomes of platinum-based chemotherapy in non-small cell lung cancer (NSCLC) patients.  Methods  The Pathological samples of NSCLC patients were obtained for immunohistochemical staining to evaluate the expression level of VHL. Furthermore, their clinical data were collected and prognosis was traced by phone. The correlation between gene expression level and the hematotoxicity was evaluated by chi-square test. The influence of VHL expression level on the risk of hematotoxicity was tested by logistic regression model. The survival curve was plotted by Kaplan-Meier method and the survival rate between the two groups was compared by log-rank test.  Results  A total of 110 NSCLC patients were enrolled in this study, the median follow-up time of these patients was 27.5 months. In the whole group, 31 patients had died by the last date of follow-up to get their survival information (Nov.10,2020), with a median survival time of 24.3 months. Though immunohistochemical analysis,we found that 59 patients(53.6%) had weak expression level of VHL or lack of expression in their tumor Tissues,while 51 patients(46.4%) presented moderate or high expression. We found that the patients with weak expression of VHL in their carcinoma Tissue or lack of expression had more opportunities to occur neutropenia after platinum-based chemotherapy(OR=0.264,95%CI=0.085-0.818,P-value=0.021).And the expression level of VHL was correlated with OS(Logrank test：P-value= 0.007，HR= 4.219,95%CI: 1.75-10.174, P-value=0.001), while not related with DFS(Logrank test：P-value=0.256，HR= 1.334,95%CI:0.642-2.769, P-value=0.440).  Conclusion The expression level of VHL gene in Pathological Tissue is related with Granulocytosis and leukocytotoxicity after platinum-based chemotherapy in NSCLC patients. It can be used as a biomarker to predict the risk of neutropenia and the prognosis of NSCLC patients.

Nagaaki Ohyama - One of the best experts on this subject based on the ideXlab platform.

  • multispectral image enhancement for h e stained Pathological Tissue specimens
    Medical Imaging 2008: Visualization Image-Guided Procedures and Modeling, 2008
    Co-Authors: Pinky A. Bautista, Masahiro Yamaguchi, Tokiya Abe, Nagaaki Ohyama, Yukako Yagi
    Abstract:

    The presence of a liver disease such as cirrhosis can be determined by examining the proliferation of collagen fiber from a Tissue slide stained with special stain such as the Masson's trichrome(MT) stain. Collagen fiber and smooth muscle, which are both stained the same in an H&E stained slide, are stained blue and pink respectively in an MT-stained slide. In this paper we show that with multispectral imaging the difference between collagen fiber and smooth muscle can be visualized even from an H&E stained image. In the method M KL bases are derived using the spectral data of those H&E stained Tissue components which can be easily differentiated from each other, i.e. nucleus, cytoplasm, red blood cells, etc. and based on the spectral residual error of fiber weighting factors are determined to enhance spectral features at certain wavelengths. Results of our experiment demonstrate the capability of multispectral imaging and its advantage compared to the conventional RGB imaging systems to delineate Tissue structures with subtle colorimetric difference.

  • digital staining for multispectral images of Pathological Tissue specimens based on combined classification of spectral transmittance
    Computerized Medical Imaging and Graphics, 2005
    Co-Authors: Pinky A. Bautista, Masahiro Yamaguchi, Tokiya Abe, Yukako Yagi, Nagaaki Ohyama
    Abstract:

    In this study, the digital transformation (digital staining) of the 16-band multispectral image of a hematoxylin and eosin (HE) stained Pathological specimen to its Masson's trichrome (MT) stained counterpart is addressed. The digital staining procedure involves the classification of the various HE while pseudo-inverse method was used to obtain the transformation matrices that would translate the transmittance spectra of the classified HE-stained multispectral pixels to their MT-stained configurations. To generate the digitally stained image, weighting factors, which were based on the classifiers beliefs, were introduced to the generated transformation matrices. Initial results of our experiments on liver specimens show the viability of multispectral imaging (MSI) to implement a digital staining framework in the Pathological context.

  • Medical Imaging: Image Processing - Digital staining of Pathological Tissue specimens using spectral transmittance
    Medical Imaging 2005: Image Processing, 2005
    Co-Authors: Pinky A. Bautista, Masahiro Yamaguchi, Tokiya Abe, Yukako Yagi, Nagaaki Ohyama
    Abstract:

    Staining of Tissue specimens is a classical procedure in Pathological diagnosis to enhance the contrast between Tissue components such that identification and classification of these components can be easily performed. In this paper, a framework for digital staining of Pathological specimens using the information derived from the L-band spectral transmittance of various Pathological Tissue components is introduced, particularly the transformation of a Hematoxylin and Eosin (HE) stained specimen to its Masson-Trichrome (MT) stained counterpart. The digital staining framework involves the classification of Tissue components, which are highlighted when the specimen is actually stained with MT stain, e.g. fibrosis, from the HE-stained image; and the linear mapping between specific sets of HE and MT stained transmittance spectra through pseudo-inverse procedure to produce the LxL transformation matrices that will be used to transform the HE stained transmittance to its equivalent MT stained transmittance configuration. To generate the digitally stained image, the decisions of multiple quadratic classifiers are pooled to form the weighting factors for the transformation matrices. Initial results of our experiments on liver specimens show the viability of multispectral imaging (MSI) for the implementation of digital staining in the Pathological context.

  • Digital Staining of Unstained Pathological Tissue Samples through Spectral Transmittance Classification
    Optical Review, 2005
    Co-Authors: Pinky A. Bautista, Masahiro Yamaguchi, Tokiya Abe, Yukako Yagi, Nagaaki Ohyama
    Abstract:

    Histological structures of a Pathological Tissue sample convey information relevant to the diagnosis of the disease that might have afficted the person. To reveal the morphology of these structures clearly, Pathological Tissues are stained. In this paper, a digital staining methodology for Pathological Tissue samples is introduced. Digital staining implies the application of digital processing techniques to transform the image of an unstained sample to its stained image counterpart. In the method, the transmittance spectra of the unstained and Hematoxylin and Eosin (H&E) stained multispectral images (16 bands) of specific Tissue components are utilized. Two experiments were conducted to probe the possibility of the digital staining framework: the linear mapping of spectral transmittances, and the classification of spectral transmittances in conjunction with the linear mapping of specific transmittance data sets. The method classified the four Tissue components, e.g. nucleus, cytoplasm, red blood cells, and the white region (region devoid of Tissue structures), while the misclassifications between components with spectral transmittances that are closely similar were not completely rectified. © 2005 The Optical Society of Japan

Yejun Cao - One of the best experts on this subject based on the ideXlab platform.

  • VHL Expression Level in the Pathological Tissue is Significantly Associated with Clinical Outcomes of Platinum-Based Chemotherapy in Non-Small Cell Lung Cancer Patients.
    2021
    Co-Authors: Yejun Cao, Lingwei Wang, Qiying Zhang, Qiyan Zhang, Yang Han, Jie Liu, Jinyi Wang, Zhengliang Sun, Tian Zhao
    Abstract:

    Abstract Objective: To investigate the association between expression level of Von Hippel-Lindau(VHL) in Pathological Tissue and outcomes of platinum-based chemotherapy in non-small cell lung cancer (NSCLC) patients. Methods: The Pathological samples of NSCLC patients were obtained for immunohistochemical staining to evaluate the expression level of VHL. Furthermore, their clinical data were collected and prognosis was traced by phone. The correlation between gene expression level and the hematotoxicity was evaluated by chi-square test. The influence of VHL expression level on the risk of hematotoxicity was tested by logistic regression model. The survival curve was plotted by Kaplan-Meier method and the survival rate between the two groups was compared by log-rank test. Results: A total of 110 NSCLC patients were enrolled in this study, the median follow-up time of these patients was 27.5 months. In the whole group, 31 patients had died by the last date of follow-up to get their survival information (Nov.10,2020), with a median survival time of 24.3 months. Though immunohistochemical analysis,we found that 59 patients(53.6%) had weak expression level of VHL or lack of expression in their tumor Tissues,while 51 patients(46.4%) presented moderate or high expression. We found that the patients with weak expression of VHL in their carcinoma Tissue or lack of expression had more opportunities to occur neutropenia after platinum-based chemotherapy(OR=0.264,95%CI=0.085-0.818,P-value=0.021).And the expression level of VHL was correlated with OS(Logrank test：P-value= 0.007，HR= 4.219,95%CI: 1.75-10.174, P-value=0.001), while not related with DFS(Logrank test：P-value=0.256，HR= 1.334,95%CI:0.642-2.769, P-value=0.440). Conclusion: The expression level of VHL gene in Pathological Tissue is related with Granulocytosis and leukocytotoxicity after platinum-based chemotherapy in NSCLC patients. It can be used as a biomarker to predict the risk of neutropenia and the prognosis of NSCLC patients.

  • VHL expression level in the Pathological Tissue is significantly associated with clinical outcomes of platinum-based chemotherapy in non-small cell lung cancer patients. (withdrawn 03/11/2021)
    Diagnostic Pathology, 2021
    Co-Authors: Yejun Cao, Lingwei Wang, Qiying Zhang, Yang Han, Jie Liu, Jinyi Wang, Zhengliang Sun, Tian Zhao, Guohan Chen
    Abstract:

    Objective  To investigate the association between expression level of VHL in Pathological Tissue and outcomes of platinum-based chemotherapy in non-small cell lung cancer (NSCLC) patients.  Methods  The Pathological samples of NSCLC patients were obtained for immunohistochemical staining to evaluate the expression level of VHL. Furthermore, their clinical data were collected and prognosis was traced by phone. The correlation between gene expression level and the hematotoxicity was evaluated by chi-square test. The influence of VHL expression level on the risk of hematotoxicity was tested by logistic regression model. The survival curve was plotted by Kaplan-Meier method and the survival rate between the two groups was compared by log-rank test.  Results  A total of 110 NSCLC patients were enrolled in this study, the median follow-up time of these patients was 27.5 months. In the whole group, 31 patients had died by the last date of follow-up to get their survival information (Nov.10,2020), with a median survival time of 24.3 months. Though immunohistochemical analysis,we found that 59 patients(53.6%) had weak expression level of VHL or lack of expression in their tumor Tissues,while 51 patients(46.4%) presented moderate or high expression. We found that the patients with weak expression of VHL in their carcinoma Tissue or lack of expression had more opportunities to occur neutropenia after platinum-based chemotherapy(OR=0.264,95%CI=0.085-0.818,P-value=0.021).And the expression level of VHL was correlated with OS(Logrank test：P-value= 0.007，HR= 4.219,95%CI: 1.75-10.174, P-value=0.001), while not related with DFS(Logrank test：P-value=0.256，HR= 1.334,95%CI:0.642-2.769, P-value=0.440).  Conclusion The expression level of VHL gene in Pathological Tissue is related with Granulocytosis and leukocytotoxicity after platinum-based chemotherapy in NSCLC patients. It can be used as a biomarker to predict the risk of neutropenia and the prognosis of NSCLC patients.

Pinky A. Bautista - One of the best experts on this subject based on the ideXlab platform.

  • multispectral image enhancement for h e stained Pathological Tissue specimens
    Medical Imaging 2008: Visualization Image-Guided Procedures and Modeling, 2008
    Co-Authors: Pinky A. Bautista, Masahiro Yamaguchi, Tokiya Abe, Nagaaki Ohyama, Yukako Yagi
    Abstract:

    The presence of a liver disease such as cirrhosis can be determined by examining the proliferation of collagen fiber from a Tissue slide stained with special stain such as the Masson's trichrome(MT) stain. Collagen fiber and smooth muscle, which are both stained the same in an H&E stained slide, are stained blue and pink respectively in an MT-stained slide. In this paper we show that with multispectral imaging the difference between collagen fiber and smooth muscle can be visualized even from an H&E stained image. In the method M KL bases are derived using the spectral data of those H&E stained Tissue components which can be easily differentiated from each other, i.e. nucleus, cytoplasm, red blood cells, etc. and based on the spectral residual error of fiber weighting factors are determined to enhance spectral features at certain wavelengths. Results of our experiment demonstrate the capability of multispectral imaging and its advantage compared to the conventional RGB imaging systems to delineate Tissue structures with subtle colorimetric difference.

  • digital staining for multispectral images of Pathological Tissue specimens based on combined classification of spectral transmittance
    Computerized Medical Imaging and Graphics, 2005
    Co-Authors: Pinky A. Bautista, Masahiro Yamaguchi, Tokiya Abe, Yukako Yagi, Nagaaki Ohyama
    Abstract:

    In this study, the digital transformation (digital staining) of the 16-band multispectral image of a hematoxylin and eosin (HE) stained Pathological specimen to its Masson's trichrome (MT) stained counterpart is addressed. The digital staining procedure involves the classification of the various HE while pseudo-inverse method was used to obtain the transformation matrices that would translate the transmittance spectra of the classified HE-stained multispectral pixels to their MT-stained configurations. To generate the digitally stained image, weighting factors, which were based on the classifiers beliefs, were introduced to the generated transformation matrices. Initial results of our experiments on liver specimens show the viability of multispectral imaging (MSI) to implement a digital staining framework in the Pathological context.

  • Medical Imaging: Image Processing - Digital staining of Pathological Tissue specimens using spectral transmittance
    Medical Imaging 2005: Image Processing, 2005
    Co-Authors: Pinky A. Bautista, Masahiro Yamaguchi, Tokiya Abe, Yukako Yagi, Nagaaki Ohyama
    Abstract:

    Staining of Tissue specimens is a classical procedure in Pathological diagnosis to enhance the contrast between Tissue components such that identification and classification of these components can be easily performed. In this paper, a framework for digital staining of Pathological specimens using the information derived from the L-band spectral transmittance of various Pathological Tissue components is introduced, particularly the transformation of a Hematoxylin and Eosin (HE) stained specimen to its Masson-Trichrome (MT) stained counterpart. The digital staining framework involves the classification of Tissue components, which are highlighted when the specimen is actually stained with MT stain, e.g. fibrosis, from the HE-stained image; and the linear mapping between specific sets of HE and MT stained transmittance spectra through pseudo-inverse procedure to produce the LxL transformation matrices that will be used to transform the HE stained transmittance to its equivalent MT stained transmittance configuration. To generate the digitally stained image, the decisions of multiple quadratic classifiers are pooled to form the weighting factors for the transformation matrices. Initial results of our experiments on liver specimens show the viability of multispectral imaging (MSI) for the implementation of digital staining in the Pathological context.

  • Digital Staining of Unstained Pathological Tissue Samples through Spectral Transmittance Classification
    Optical Review, 2005
    Co-Authors: Pinky A. Bautista, Masahiro Yamaguchi, Tokiya Abe, Yukako Yagi, Nagaaki Ohyama
    Abstract:

    Histological structures of a Pathological Tissue sample convey information relevant to the diagnosis of the disease that might have afficted the person. To reveal the morphology of these structures clearly, Pathological Tissues are stained. In this paper, a digital staining methodology for Pathological Tissue samples is introduced. Digital staining implies the application of digital processing techniques to transform the image of an unstained sample to its stained image counterpart. In the method, the transmittance spectra of the unstained and Hematoxylin and Eosin (H&E) stained multispectral images (16 bands) of specific Tissue components are utilized. Two experiments were conducted to probe the possibility of the digital staining framework: the linear mapping of spectral transmittances, and the classification of spectral transmittances in conjunction with the linear mapping of specific transmittance data sets. The method classified the four Tissue components, e.g. nucleus, cytoplasm, red blood cells, and the white region (region devoid of Tissue structures), while the misclassifications between components with spectral transmittances that are closely similar were not completely rectified. © 2005 The Optical Society of Japan