Immunohistochemistry Image Analysis Research Articles

Myeloperoxidase-ANCA IgG induces different forms of small vessel vasculitis based on type of synergistic immune stimuli.

Anti-neutrophil cytoplasmic autoantibody (ANCA) vasculitis has diverse patterns of injury including microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA), and eosinophilic granulomatosis with polyangiitis (EGPA). Necrotizing and crescentic glomerulonephritis (NCGN) occurs in all syndromes and as renal limited vasculitis (RLV). Single dose intravenous ANCA IgG-specific for mouse myeloperoxidase (MPO) causes RLV in mice. Although multiple mouse models have elucidated ANCA-IgG induced necrotizing and crescentic glomerulonephritis (NCGN), pathogenesis of ANCA-induced granulomatosis and vasculitis outside the kidney has not been clarified. To investigate this, we used intravenous MPO-ANCA IgG in the same strain of mice to induce different patterns of lung disease mirroring patients with granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA), and eosinophilic granulomatosis with polyangiitis (EGPA). Repeated intravenous MPO-ANCA IgG induced GPA with NCGN, lung capillaritis, arteritis and granulomatosis. Lung leukocyte phenotypes were evaluated by immunohistochemical image analysis and by flow cytometry. ANCA lung capillaritis and microabscesses began within one day and evolved into granulomas in under seven days. Influenza plus single dose MPO-ANCA IgG induced MPA with NCGN, lung capillaritis and arteritis, but no granulomatosis. Allergic airway disease caused by house dust mites or ovalbumin plus single dose intravenous MPO-ANCA IgG induced EGPA with eosinophilic bronchiolitis, NCGN, capillaritis, arteritis, and granulomatosis. Thus, our study shows that the occurrence and pattern of lung lesions are determined by the same ANCA IgG accompanied by different synergistic immune factors.

Disordered Balance of T-Cell Subsets in Arterial Tertiary Lymphoid Organs in Immunoglobulin G4-Related Vascular Disease.

Arterial/aortic tertiary lymphoid organs (ATLOs), characterized by germinal centers, control local arterial immune responses. T follicular helper cells (Tfh), resident in germinal centers, regulate immunoglobulin production and germinal center development. They consist of Tfh1, Tfh2, and Tfh17 subsets. T follicular regulatory (Tfr) cells possess suppressive functions as regulatory T cells and migrate into germinal centers. Immunoglobulin G4 (IgG4)-related diseases manifest in vascular lesions as frequently formed inflammatory aneurysms (IgG4-related abdominal aortic aneurysm [IgG4-AAAs]). IgG4-AAAs contain several ATLOs. We performed whole-slide immunohistochemical image analysis in surgical specimens of IgG4-AAAs (n=21), non-IgG4-related inflammatory AAAs (n=17), atherosclerotic AAAs (n=10), and Takayasu arteritis (n=5). IgG4-AAA was characterized by numerous, large, irregular-shaped ATLOs, and higher numbers of Tfr and Tfh2 cells than Tfh1 cells were present compared with others. The morphologic abnormalities (in number, area, and form) of ATLOs in IgG4-AAAs and the increased number of Tfr cells are closely related to the activity of IgG4-related diseases. All T-cell subsets were more enriched within ATLOs than outside ATLOs. In particular, an increase in Tfr cells in IgG4-AAAs was associated with ATLO formation. Increased Tfh17 cells were found in Takayasu arteritis, and atherosclerotic AAA and non-IgG4-related inflammatory AAAs were characterized by increased Tfh1 cells. In the classification of vascular lesions, considering the imbalance in T-cell subsets, IgG4-AAA should be positioned as adventitial vasculitis with predominant Tfr and Tfh2 cells, accompanied by the abnormal appearance of ATLOs.

Tianeptine Affects the Improvement of Behavioral Defects, such as Schizophrenia, Caused by Maternal Immune Activation in the Mice Offspring.

Simultaneously with studies on animal models of fetal-induced maternal immune activation, related studies documented behavior, neurophysiological, and/or neurochemical disorders observed in some neuropsychiatric disorders, including autism and schizophrenia. To investigate whether treatment tianeptine might ameliorate maternal immune activation (MIA)-induced behavioral deficits in the offspring. The pregnant mice were injected through tail vein injection at a concentration of 5 mg/kg of polyriboinosinic-polyribocytidilic acid (polyI:C) and/or used saline as a vehicle. The injection was performed on the 9th day of pregnancy. Each group of MIA offspring was subjected to vehicle, clozapine, or tianeptine treatment. In prepulse inhibition (PPI) test, oral treatment with tianeptine ameliorated MIA-induced sensorimotor gating deficit. Most behavioral parameters of social interaction test (SIT), forced swimming test (FST), and open field test (OFT) were significantly changed in the MIA offspring. Tianeptine treatment significantly recovered behavioral changes observed in the SIT, OFT, and FST. In order to confirm expression level of neurodevelopmental proteins, immunohistochemical image analysis and Western blot were performed, and the medial prefrontal cortex (mPFC) was targeted. As a result, it was confirmed that the neurodevelopmental proteins were decreased, which was recovered after administration of tianeptine to MIA offspring. Tianeptine might be useful for treating psychiatric disorders with neurodevelopmental issues.

Deep Learning–Based H-Score Quantification of Immunohistochemistry-Stained Images

Immunohistochemistry (IHC) is a well-established and commonly used staining method for clinical diagnosis and biomedical research. In most IHC images, the target protein is conjugated with a specific antibody and stained using diaminobenzidine (DAB), resulting in a brown coloration, whereas hematoxylin serves as a blue counterstain for cell nuclei. The protein expression level is quantified through the H-score, calculated from DAB staining intensity within the target cell region. Traditionally, this process requires evaluation by 2 expert pathologists, which is both time consuming and subjective. To enhance the efficiency and accuracy of this process, we have developed an automatic algorithm for quantifying the H-score of IHC images. To characterize protein expression in specific cell regions, a deep learning model for region recognition was trained based on hematoxylin staining only, achieving pixel accuracy for each class ranging from 0.92 to 0.99. Within the desired area, the algorithm categorizes DAB intensity of each pixel as negative, weak, moderate, or strong staining and calculates the final H-score based on the percentage of each intensity category. Overall, this algorithm takes an IHC image as input and directly outputs the H-score within a few seconds, significantly enhancing the speed of IHC image analysis. This automated tool provides H-score quantification with precision and consistency comparable to experienced pathologists but at a significantly reduced cost during IHC diagnostic workups. It holds significant potential to advance biomedical research reliant on IHC staining for protein expression quantification.

An Automated Cell Detection Method for TH-positive Dopaminergic Neurons in a Mouse Model of Parkinson's Disease Using Convolutional Neural Networks.

Quantification of tyrosine hydroxylase (TH)-positive neurons is essential for the preclinical study of Parkinson's disease (PD). However, manual analysis of immunohistochemical (IHC) images is labor-intensive and has less reproducibility due to the lack of objectivity. Therefore, several automated methods of IHC image analysis have been proposed, although they have limitations of low accuracy and difficulties in practical use. Here, we developed a convolutional neural network-based machine learning algorithm for TH+ cell counting. The developed analytical tool showed higher accuracy than the conventional methods and could be used under diverse experimental conditions of image staining intensity, brightness, and contrast. Our automated cell detection algorithm is available for free and has an intelligible graphical user interface for cell counting to assist practical applications. Overall, we expect that the proposed TH+ cell counting tool will promote preclinical PD research by saving time and enabling objective analysis of IHC images.

An Approach toward Automatic Specifics Diagnosis of Breast Cancer Based on an Immunohistochemical Image

The paper explored the problem of automatic diagnosis based on immunohistochemical image analysis. The issue of automated diagnosis is a preliminary and advisory statement for a diagnostician. The authors studied breast cancer histological and immunohistochemical images using the following biomarkers progesterone, estrogen, oncoprotein, and a cell proliferation biomarker. The authors developed a breast cancer diagnosis method based on immunohistochemical image analysis. The proposed method consists of algorithms for image preprocessing, segmentation, and the determination of informative indicators (relative area and intensity of cells) and an algorithm for determining the molecular genetic breast cancer subtype. An adaptive algorithm for image preprocessing was developed to improve the quality of the images. It includes median filtering and image brightness equalization techniques. In addition, the authors developed a software module part of the HIAMS software package based on the Java programming language and the OpenCV computer vision library. Four molecular genetic breast cancer subtypes could be identified using this solution: subtype Luminal A, subtype Luminal B, subtype HER2/neu amplified, and basalt-like subtype. The developed algorithm for the quantitative characteristics of the immunohistochemical images showed sufficient accuracy in determining the cancer subtype "Luminal A". It was experimentally established that the relative area of the nuclei of cells covered with biomarkers of progesterone, estrogen, and oncoprotein was more than 85%. The given approach allows for automating and accelerating the process of diagnosis. Developed algorithms for calculating the quantitative characteristics of cells on immunohistochemical images can increase the accuracy of diagnosis.

A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis

Breast carcinoma has various subtypes based on the genetic factors involved in the pathogenesis of the malignancy. Identifying the exact subtype and providing targeted treatment to the patient can improve the survival chances. Molecular subtyping through immunohistochemistry analysis is a pathology procedure to determine the subtype of breast cancer. The existing manual procedure is tedious and involves assessing the status of the four vital molecular biomarkers present in the tumor tissues. In this paper, a deep learning-based framework for automated molecular subtyping of breast cancer is proposed. Digital slide images of the four biomarkers are separately processed by the proposed framework. In the preprocessing stage, the non-informative background regions from the images are separated. The patches extracted from the foreground regions are classified into target classes using convolutional neural network models trained for this purpose. Classification results are post-processed to predict the status of all the four biomarkers. The predictions for the individual biomarkers are finally consolidated as per clinical guidelines to determine the subtype of the cancer. The proposed system is evaluated for the performance of individual biomarker status prediction and patient-level subtype classification.For patient-level evaluation of biomarkers ER, PR, K67, and HER2, the proposed method gives F1 Scores 1.00, 1.00, 0.90, and 0.94 respectively, whereas for molecular subtyping an F1 score of 0.89 is obtained. In both these aspects, the proposed framework has given significant results that show the effectiveness of our approach.

Intratumoral in vivo staging of breast cancer by multi-tracer PET and advanced analysis

The staging and local management of breast cancer involves the evaluation of the extent and completeness of excision of both the invasive carcinoma component and also the intraductal component or ductal carcinoma in situ. When both invasive ductal carcinoma and coincident ductal carcinoma in situ are present, assessment of the extent and localization of both components is required for optimal therapeutic planning. We have used a mouse model of breast cancer to evaluate the feasibility of applying molecular imaging to assess the local status of cancers in vivo. Multi-tracer positron emission tomography (PET) and magnetic resonance imaging (MRI) characterize the transition from premalignancy to invasive carcinoma. PET tracers for glucose consumption, membrane synthesis, and neoangiogenesis in combination with a Gaussian mixture model-based analysis reveal image-derived thresholds to separate the different stages within the whole-lesion. Autoradiography, histology, and quantitative image analysis of immunohistochemistry further corroborate our in vivo findings. Finally, clinical data further support our conclusions and demonstrate translational potential. In summary, this preclinical model provides a platform for characterizing multistep tumor progression and provides proof of concept that supports the utilization of advanced protocols for PET/MRI in clinical breast cancer imaging.

B-flow/spatiotemporal image correlation M-mode: novel ultrasound method that detects decrease in spiral artery luminal diameter in first trimester in primate model of impaired spiral artery remodeling.

ABSTRACTObjectiveTo determine if B‐flow/spatiotemporal image correlation (STIC) M‐mode ultrasonography detects a decrease in spiral artery luminal diameter and volume flow during the first trimester in a non‐human primate model of impaired spiral artery remodeling (SAR).MethodsPregnant baboons were treated daily with estradiol benzoate on days 25–59 of the first trimester (term, 184 days), or remained untreated. On day 60 of gestation, spiral artery luminal diameter (in seven untreated and 12 estradiol‐treated baboons) and volume flow (in four untreated and eight estradiol‐treated baboons) were quantified by B‐flow/STIC M‐mode ultrasonography. In addition, in 15 untreated and 18 estradiol‐treated baboons, the percent of spiral arteries remodeled by extravillous trophoblasts was quantified ex vivo by immunohistochemical image analysis on placental basal plate tissue collected via Cesarean section on day 60. Findings were compared between treated and untreated animals. The correlation between spiral artery luminal diameter and percent of SAR was assessed in three untreated and six estradiol‐treated baboons which underwent both B‐flow/STIC M‐mode ultrasound and quantification of SAR.ResultsThe proportion of spiral arteries greater than 50 µm in diameter remodeled by extravillous trophoblasts was 70% lower in estradiol‐treated baboons than in untreated animals (P = 0.000001). Spiral artery luminal diameter in systole and diastole, as quantified by B‐flow/STIC M‐mode in the first trimester of pregnancy, was 31% (P = 0.014) and 50% (P = 0.005) lower, respectively, and volume flow was 85% lower (P = 0.014), in SAR‐suppressed baboons compared with untreated animals. There was a significant correlation between spiral artery luminal diameter as quantified by B‐flow/STIC M‐mode ultrasonography and the percent of SAR (P < 0.05).ConclusionB‐flow/STIC M‐mode ultrasonography provides a novel real‐time non‐invasive method to detect a decrease in uterine spiral artery luminal diameter and volume flow during the cardiac cycle, reflecting decreased distensibility of the vessel wall, in the first trimester in a non‐human primate model of defective SAR. © 2021 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Potential of Magnetic Hyperthermia to Stimulate Localized Immune Activation

Magnetic hyperthermia (MH) harnesses the heat-releasing properties of superparamagnetic iron oxide nanoparticles (SPIONs) and has potential to stimulate immune activation in the tumor microenvironment whilst sparing surrounding normal tissues. To assess feasibility of localized MH in vivo, SPIONs are injected intratumorally and their fate tracked by Zirconium-89-positron emission tomography, histological analysis, and electron microscopy. Experiments show that an average of 49% (21-87%, n= 9) of SPIONs are retained within the tumor or immediately surrounding tissue. In situ heating is subsequently generated by exposure to an externally applied alternating magnetic field and monitored by thermal imaging. Tissue response to hyperthermia, measured by immunohistochemical image analysis, reveals specific and localized heat-shock protein expression following treatment. Tumor growth inhibition is also observed. To evaluate the potential effects of MH on the immune landscape, flow cytometry is used to characterize immune cells from excised tumors and draining lymph nodes. Results show an influx of activated cytotoxic T cells, alongside an increase in proliferating regulatory T cells, following treatment. Complementary changes are found in draining lymph nodes. In conclusion, results indicate that biologically reactive MH is achievable in vivo and can generate localized changes consistent with an anti-tumor immune response.

Reduced mitophagy in the cochlea of aged C57BL/6J mice.

An increase in mitochondrial damage has been associated with a decline in the ability to mitigate damage through mitophagy in age-related pathologies. The present study aimed to investigate the changes of mitophagy in a mouse model with age-related hearing loss. C57BL/6J mice were divided into two groups: young (1month) and aged (12months). Hearing tests were conducted through the measurement of auditory brainstem response (ABR). Mitochondrial DNA copy number, the level of mitochondrial DNA damage, mitochondrial biogenesis, and mitophagy-related genes and proteins were investigated using real-time PCR and western blot analysis. Coexpression of mitophagosomes and lysosomes in the cochlea was investigated through immunofluorescence imaging analysis. Major players of mitophagy, Parkin and BNIP3, were also investigated through immunohistochemical staining in the cochlea. Hearing thresholds were observed to have increased in the aged group. The mitochondrial DNA copy number, PGC-1α, and PGC-1β significantly decreased in the cochlea of mice in the aged group. The mRNA levels of PINK1, Parkin, MUL1, Atg5, Atg12, Atg13, NIX, and BNIP3 significantly decreased in the cochlea of the mice in the aged group. The level of mitochondrial DNA damage significantly increased in the cochlea of mice in the aged group. Protein levels of PINK1, Parkin, BNIP3, COX4, LC3B, and all OXPHOS subunits significantly decreased in the cochlea of the mice in the aged group. Immunofluorescence imaging analysis of mitophagosomes and lysosomes revealed a decrease in the colocalization in the cochlea of mice in the aged group. Immunohistochemical imaging analysis of Parkin and BNIP3 revealed their decreased expression in aged cochlea. Our results indicate that reduced mitophagy with aging might be attributed to the cellular changes that occur in aged cochlea in the development of age-related hearing loss.

Association of immune microenvironment to response in treatment-naïve non-small cell lung cancer (NSCLC) samples with follow-up second-line immunotherapy data.

49 Background: Archival specimens collected months or years prior to starting immunotherapy are often used to identify patients for second line immune checkpoint inhibitor (ICI) treatment. PD-L1 expression and the immune microenvironment in these patients may have altered over time following multiple lines of failed standard of care (SOC) treatments. Methods: Formalin fixed paraffin embedded (FFPE) tumor samples, taken during resection performed as first line surgical treatment from a cohort of NSCLC patients (n = 18), were evaluated by Nanostring using the IO360 gene expression panel, and by immunohistochemistry (IHC) for CD3, CD8, PD-L1, CD68 and CD163. The resultant immune profiles were correlated with the clinical follow-up data for radiotherapy, SOC chemotherapy, and second line immunotherapy with the aim of understanding whether immune signatures predictive of response to ICI therapy may be identified in such samples. Results: Of the 18 cases, clinical follow-up data indicated objective response to ICI therapy for 4 patients, with the mean time from initial diagnosis to ICI treatment being 2.8 years (range: 0.4 to 8.5 years). Although pathologist PD-L1 IHC scores were not predictive of response, IHC image analysis data revealed significant increases in CD3 (2.3-fold) and CD8 (2.7-fold) T cell numbers in the responder population. In addition, although CD68+ macrophage frequencies did not differ significantly between responder and non-responder populations, reduced M2-like CD163+ macrophage/monocyte numbers were evident for responders. While the Tumor Inflammation Signature was not predictive of response, several gene expression signatures were significantly associated with response including increased abundance of CD8 T cells, cytotoxic cells, cytotoxicity, MHC class II antigen presentation and Melanoma-Associated Antigens (MAGE). Conclusions: Despite these patients having received various lines of radiotherapy and SOC chemotherapy prior to receiving immunotherapy, immune profiles associated with response to second line immunotherapy were detected in surgical first line resection samples.

Image-Based Network Analysis of DNp73 Expression by Immunohistochemistry in Rectal Cancer Patients.

Background: Rectal cancer is a disease characterized with tumor heterogeneity. The combination of surgery, radiotherapy, and chemotherapy can reduce the risk of local recurrence. However, there is a significant difference in the response to radiotherapy among rectal cancer patients even they have the same tumor stage. Despite rapid advances in knowledge of cellular functions affecting radiosensitivity, there is still a lack of predictive factors for local recurrence and normal tissue damage. The tumor protein DNp73 is thought as a biomarker in colorectal cancer, but its clinical significance is still not sufficiently investigated, mainly due to the limitation of human-based pathology analysis. In this study, we investigated the predictive value of DNp73 in patients with rectal adenocarcinoma using image-based network analysis.Methods: The fuzzy weighted recurrence network of time series was extended to handle multi-channel image data, and applied to the analysis of immunohistochemistry images of DNp73 expression obtained from a cohort of 25 rectal cancer patients who underwent radiotherapy before surgery. Two mathematical weighted network properties, which are the clustering coefficient and characteristic path length, were computed for the image-based networks of the primary tumor (obtained after operation) and biopsy (obtained before operation) of each cancer patient.Results: The ratios of two weighted recurrence network properties of the primary tumors to biopsies reveal the correlation of DNp73 expression and long survival time, and discover the non-effective radiotherapy to a cohort of rectal cancer patients who had short survival time.Conclusion: Our work contributes to the elucidation of the predictive value of DNp73 expression in rectal cancer patients who were given preoperative radiotherapy. Mathematical properties of fuzzy weighted recurrence networks of immunohistochemistry images are not only able to show the predictive factor of DNp73 expression in the patients, but also reveal the identification of non-effective application of radiotherapy to those who had poor overall survival outcome.

Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images.

Systematic and comprehensive analysis of protein subcellular location as a critical part of proteomics ('location proteomics') has been studied for many years, but annotating protein subcellular locations and understanding variation of the location patterns across various cell types and states is still challenging. In this work, we used immunohistochemistry images from the Human Protein Atlas as the source of subcellular location information, and built classification models for the complex protein spatial distribution in normal and cancerous tissues. The models can automatically estimate the fractions of protein in different subcellular locations, and can help to quantify the changes of protein distribution from normal to cancer tissues. In addition, we examined the extent to which different annotated protein pathways and complexes showed similarity in the locations of their member proteins, and then predicted new potential proteins for these networks. The dataset and code are available at: www.csbio.sjtu.edu.cn/bioinf/complexsubcellularpatterns. Supplementary data are available at Bioinformatics online.

P5. Experimental study on the expression of growth factors in the vertebral growth plate and pedicle in severe idiopathic scoliosis

BACKGROUND CONTEXT Some scoliosis can progress to severe scoliosis with significant wedge deformities in the apex vertebra. Vertebral growth plate is closely related to the longitudinal growth of vertebral body, and the role of the growth factors expression in growth plate in the occurrence and development of severe spinal deformities has not been studied so far. PURPOSE To investigated the expression of multiple growth factors in the concave and convex vertebral growth plate and pedicle in severe idiopathic scoliosis. STUDY DESIGN/SETTING A PATIENT SAMPLE Severe scoliosis and no significant cardiopulmonary dysfunction, no significant malnutrition, and no abnormal bone metabolism were included in this study. Congenital, neuromuscular, neurofibromatosis, connective tissue disease and syndrome scoliosis were excluded. OUTCOME MEASURES The specimens were observed histologically. Immunohistochemistry was used to observe the differences of TGF, FGF, BMP and IGF expression. METHODS Severe scoliosis and no significant cardiopulmonary dysfunction, no significant malnutrition, and no abnormal bone metabolism were included in this study. Congenital, neuromuscular, neurofibromatosis, connective tissue disease and syndrome scoliosis were excluded. Growth plate and pedicle specimens of convex and concave side of the vertebra in the apical region were obtained during the PVCR. The specimens were observed histologically. Immunohistochemistry was used to observe the differences of TGF, FGF, BMP and IGF expression in the pedicle and growth plate of concave and convex side of the apex vertebra. Semi-quantitative analysis was carried out by immunohistochemical image analysis system. Statistical analysis was carried out on the results, with P RESULTS Ten patients (6 male, 4 female) were included in this study, with an average age of 17.6 years, and the apex vertebra was located between T6 to T12. The preoperative mean coronal deformity was 127.7° (96°-158°), and the sagittal deformity was 115° (85°-150°).The cells in the cartilage layer of the apex vertebral were disordered, the cartilage matrix was not uniform, and the concave side was thin. The fibrosis was aggravated in the matrix and accompanied by focal calcification. Some chondrocyte aggregation was observed. Bone density increased in the concave side of the pedicle. Immunohistochemical staining results showed that FGF, BMP and TGF had basically similar expression characteristics, and the expressions in the convex side of growth plate and pedicle of the apex were higher than the concave side, which had statistical significance(p CONCLUSIONS The expressions of growth factors in the growth plate and pedicle of the apex were different in patients with severe idiopathic scoliosis, and the imbalance of growth factor expression is one of the factors that cause significant deformity in such patients. Abnormal expression may lead to the significant development of the deformity, and the abnormal mechanical environment caused by the significant deformity in the later stage may jointly lead to the further development of the deformity. FDA DEVICE/DRUG STATUS This abstract does not discuss or include any applicable devices or drugs.

Differential neuro-immune patterns in two clinically relevant murine models of multiple sclerosis

BackgroundThe mechanisms driving multiple sclerosis (MS), the most common cause of non-traumatic disability in young adults, remain unknown despite extensive research. Especially puzzling are the underlying molecular processes behind the two major disease patterns of MS: relapsing-remitting and progressive. The relapsing-remitting course is exemplified by acute inflammatory attacks, whereas progressive MS is characterized by neurodegeneration on a background of mild-moderate inflammation. The molecular and cellular features differentiating the two patterns are still unclear, and the role of inflammation during progressive disease is a subject of active debate.MethodsWe performed a comprehensive analysis of the intrathecal inflammation in two clinically distinct mouse models of MS: the PLP139-151-induced relapsing experimental autoimmune encephalomyelitis (R-EAE) and the chronic progressive, Theiler’s murine encephalomyelitis virus-induced demyelinating disease (TMEV-IDD). Microarray technology was first used to examine global gene expression changes in the spinal cord.Inflammation in the spinal cord was further assessed by immunohistochemical image analysis and flow cytometry. Levels of serum and cerebrospinal fluid (CSF) immunoglobulin (Ig) isotypes and chemokines were quantitated using Luminex Multiplex technology, whereas a capture ELISA was used to measure serum and CSF albumin levels. Finally, an intrathecal Ig synthesis index was established with the ratio of CSF and serum test results corrected as a ratio of their albumin concentrations.ResultsMicroarray analysis identified an enrichment of B cell- and Ig-related genes upregulated in TMEV-IDD mice. We also demonstrated an increased level of intrathecal Ig synthesis as well as a marked infiltration of late differentiated B cells, including antibody secreting cells (ASC), in the spinal cord of TMEV-IDD, but not R-EAE mice. An intact blood-brain barrier in TMEV-IDD mice along with higher CSF levels of CXCL13, CXCL12, and CCL19 provides evidence for an intrathecal synthesis of chemokines mediating B cell localization to the central nervous system (CNS).ConclusionsOverall, these findings, showing increased concentrations of intrathecally produced Igs, substantial infiltration of ASC, and the presence of B cell supporting chemokines in the CNS of TMEV-IDD mice, but not R-EAE mice, suggest a potentially important role for Igs and ASC in the chronic progressive phase of demyelinating diseases.

Failure of Decidualization and Maternal Immune Tolerance Underlies Uterovascular Resistance in Intra Uterine Growth Restriction.

Failure of uterine vascular transformation is associated with pregnancy complications including Intra Uterine Growth Restriction (IUGR). The decidua and its immune cell populations play a key role in the earliest stages of this process. Here we investigate the hypothesis that abnormal decidualization and failure of maternal immune tolerance in the second trimester may underlie the uteroplacental pathology of IUGR. Placental bed biopsies were obtained from women undergoing elective caesarian delivery of a healthy term pregnancy, an IUGR pregnancy or a pregnancy complicated by both IUGR and preeclampsia. Decidual tissues were also collected from second trimester terminations from women with either normal or high uterine artery Doppler pulsatile index (PI). Immunohistochemical image analysis and flow cytometry were used to quantify vascular remodeling, decidual leukocytes and decidual status in cases vs. controls. Biopsies from pregnancies complicated by severe IUGR with a high uterine artery pulsatile index (PI) displayed a lack of: myometrial vascular transformation, interstitial, and endovascular extravillous trophoblast (EVT) invasion, and a lower number of maternal leukocytes. Apoptotic mural EVT were observed in association with mature dendritic cells and T cells in the IUGR samples. Second trimester pregnancies with high uterine artery PI displayed a higher incidence of small for gestational age fetuses; a skewed decidual immunology with higher numbers of; CD8 T cells, mature CD83 dendritic cells and lymphatic vessels that were packed with decidual leukocytes. The decidual stromal cells (DSCs) failed to differentiate into the large secretory DSC in these cases, remaining small and cuboidal and expressing lower levels of the nuclear progesterone receptor isoform B, and DSC markers Insulin Growth Factor Binding protein-1 (IGFBP-1) and CD10 as compared to controls. This study shows that defective progesterone mediated decidualization and a hostile maternal immune response against the invading endovascular EVT contribute to the failure of uterovascular remodeling in IUGR pregnancies.

Semi-quantitative Determination of Protein Expression using Immunohistochemistry Staining and Analysis: An Integrated Protocol.

Semi-quantitative IHC is a powerful method for investigating protein expression and localization within tissues. The semi-quantitative immunohistochemistry (IHC) involves using software such as free software ImageJ Fiji to conduct deconvolution and downstream analysis. Currently, there is lack of an integrated protocol that includes a detailed procedure of how to measure or compare protein expression. Publications that use semi-quantification methods to quantify protein expression often don't provide enough details in their methods section, which makes it difficult for the reader to reproduce their data. The current protocol for the first time provides a detailed, step-by-step instruction of conducting semi-quantitative analysis of IHC images using ImageJ Fiji software so that researchers would be able to follow this single protocol to conduct their research. The protocol uses semi-quantitative IHC of organic anion transporting polypeptide (OATP1B1) as an example, and gives detailed steps on how to deconvolute IHC images stained with hematoxylin and 3, 3 - diaminobenzidine (DAB) and how to quantify their expression using ImageJ Fiji. The protocol includes clear steps for a reader so that this method can be applied to many different proteins. We anticipate this method will provide a practical guidance to the reader and make semi-quantification of proteins an easier task to include in publications.

Usefulness of complementary next-generation sequencing and quantitative immunohistochemistry panels for predicting brain metastases and selecting treatment outcomes of non–small cell lung cancer

To demonstrate the usefulness of complementary next-generation sequencing (NGS) and immunohistochemistry (IHC) counting, we analyzed 196 patients with non-small cell lung cancer who underwent surgical resection and adjuvant chemotherapy. Formalin-fixed, paraffin-embedded samples of adenocarcinoma (ADC), squamous cell carcinoma, and large cell carcinoma were used to prepare tissue microarrays and were examined by protein H-score IHC image analysis and NGS for oncogenes and proto-oncogenes and genes of tumor suppressors, immune checkpoints, epithelial-mesenchymal transition factors, tyrosine kinase receptors, and vascular endothelial growth factors. In patients with brain metastases, primary tumors expressed lower PIK3CA protein levels. Overexpression of p53 and a higher PD-L1 protein H-score were detected in patients who underwent surgical treatment followed by chemotherapy as compared with those who underwent only surgical treatment The absence of brain metastases was associated with wild-type sequences of genes EGFR, CD267, CTLA-4, and ZEB1. The combination of protein overexpression according to IHC and mutation according to NGS was rare (ie, represented by a very low percentage of concordant cases), except for p53 and vascular endothelial growth factor. Our data suggest that protein levels detected by IHC may be a useful complementary tool when mutations are not detected by NGS and also support the idea to expand this approach beyond ADC to include squamous cell carcinoma and even large cell carcinoma, particularly for patients with unusual clinical characteristics. Conversely, well-pronounced immunogenotypic features seemed to predict the clinical outcome after univariate and multivariate analyses. Patients with a solid ADC subtype and mutated genes EGFR, CTLA4, PDCD1LG2, or ZEB1 complemented with PD-L1 or p53 protein lower expression that only underwent surgical treatment who develop brain metastases may have the worst prognosis.

Sodium hydroxide based non-detergent decellularizing solution for rat lung

ABSTRACTLung transplantation is the last option for the treatment of end stage chronic lung disorders. Because the shortage of donor lung organs represents the main hurdle, lung regeneration has been considered to overcome this hurdle. Recellularization of decellularized organ scaffold is a promising option for organ regeneration. Although detergents are ordinarily used for decellularization, other approaches are possible. Here we used high alkaline (pH12) sodium hydroxide (NaOH)-PBS solution without detergents for lung decellularization and compared the efficacy on DNA elimination and ECM preservation with detergent based decellularization solutions CHAPS and SDS. Immunohistochemical image analysis showed that cell components were removed by NaOH solution as well as other detergents. A Collagen and GAG assay showed that the collagen reduction of the NaOH group was comparable to that of the CHAPS and SDS groups. However, DNA reduction was more significant in the NaOH group than in other groups (p < 0.0001). The recellularization of HUVEC revealed cell attachment was not inferior to that of the SDS group. Ex vivo functional analysis showed 100% oxygen ventilation increased oxygen partial pressure as artificial hemoglobin vesicle-PBS solution passed through regenerated lungs in the SDS or NaOH group. It was concluded that the NaOH-PBS based decellularization solution was comparable to ordinal decellularizaton solutions and competitive in cost effectiveness and residues in the decellularized scaffold negligible, thus providing another potential option to detergent for future clinical usage.