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Autoantibodies

Autoantibodies are immune proteins produced by the body that erroneously target and bind to the body's own tissues or molecules.
These self-reactive antibodies can lead to autoimmune disorders, where the immune system attacks healthy cells and tissues.
Autoantibodies are important biomarkers for the diagnosis and monitoring of many autoimmune diseases, such as rheumatoid arthritis, systemic lupus erythematosus, and type 1 diabetes.
Precise detection and quantification of autoantibodies is crucial for accurate disease assessment and treament.
Reserchers can utilize PubCompare.ai's AI-driven platform to optimize their autoantibody research protocols, improve reproducibility, and streamline their findings.

Most cited protocols related to «Autoantibodies»

All samples were stored at − 80 °C until use. Serum levels of C-reactive protein (CRP) were determined by an immuno-turbidimetric technique using an Olympus AU 400 biochemical analyzer (Olympus Optical, Tokyo, Japan), and erythrocyte sedimentation rate (ESR) was measured according to the Fahreus and Westergren method. ANAs were detected using indirect immunofluorescence on HEP2 cells, and the autoantibodies of the ENA complex (anti-U1RNP, anti-Ro, anti-La, anti-DNA-topoisomerase I, anti-Jo-1, anti-P protein, anti-Sm, and anti-centromere) were assayed by immunoblot. Plasma levels of Hsp90 were assessed by a high-sensitivity ELISA kit (eBioscience, Vienna, Austria) according to the manufacturer's protocol. The assay recognizes human Hsp90 alpha. The calculated sensitivity is 0.03 ng/mL. The absorbance value was established at 450 nm by an ELISA reader (SUNRISE; Tecan, Grödig, Austria).
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Publication 2021
Autoantibodies Biological Assay Cells Centromere DNA Topoisomerases, Type I Ducks Enzyme-Linked Immunosorbent Assay Homo sapiens HSP90 Heat-Shock Proteins Hypersensitivity Indirect Immunofluorescence OCA2 protein, human Plasma Sedimentation Rates, Erythrocyte Serum Proteins Turbidimetry Vision

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Publication 2016
Anti-N-Methyl-D-Aspartate Receptor Encephalitis Autoantibodies Brain Stem Consciousness Diagnosis Encephalitis Hashimoto's encephalitis Limbic Encephalitis Memory Neurons Symptom Assessment
While the current standard tests of serology and conventional histology are usually adequate to reach a diagnosis of CD, there are patients whose tests are equivocal and diagnostic uncertainty remains. Several novel diagnostic approaches have been undertaken. The deposition of IgA antibodies in close proximity to TG2 in the small intestine has shown promise as a way of defining early or potential CD in patients who are seropositive but lack any of the usual histological markers for CD. Recent work from Finland on IgA-TG2 autoantibody deposition in the small intestine in such patients shows promise in delivery of an early prediction of development of CD. However, this is currently experimental and the methodology requires tissue sections frozen in liquid nitrogen.124 (link) Another diagnostic method meriting further evaluation is EmA assay in the culture medium of small intestinal biopsies.125 (link)
126 (link) Other investigators have reported their findings using new techniques associated with endoscopy to enhance the diagnosis of CD. These include confocal microscopy, high-resolution magnification endoscopy, optical band imaging127 (link) and optimal coherence tomography. These novel techniques are still limited by availability, tolerability and cost.98 (link) However, the immersion technique and dye enhancement in which the endoscopist instills water or a contrast dye (for example, indigo carmine or methylene blue) into the bowel lumen, with or without the assistance of magnification endoscopy, enhancing the visualisation of the villus128 (link) can be readily used and improves visualisation of villi, thus increasing the sensitivity for detection of villous atrophy.98 (link)
Publication 2014
Atrophy Autoantibodies Biological Assay Biopsy Culture Media Diagnosis Endoscopy Freezing Hypersensitivity Immunoglobulin A Indigo Carmine Intestines Intestines, Small Methylene Blue Microscopy, Confocal Nitrogen Obstetric Delivery Patients Submersion Tests, Serologic Tissues Tomography Vision
Sequential steps in causality assessment are outlined in Fig. 1. Complete clinical data, including serial laboratory test results together with the local ULN values, were extracted from the clinical records and entered into a 65-page case report form (CRF). To exclude conditions that can mimic drug-induced liver disease, the patients and their medical records were screened for previous liver disease, alcohol use, serological and virological evidence of hepatitis A, B, or C infection, autoantibodies, ceruloplasmin, alpha-1-antitrypsin, ferritin, and iron; additionally, results of imaging studies were reviewed. Patients who had not been fully evaluated when they were first identified underwent testing for any missing laboratory data at enrollment. Liver biopsy was not required for adjudication purposes, but if it was performed as part of routine clinical care, the results were collected and made available to reviewers. To facilitate adjudication, the extensive database was summarized in an abbreviated CRF that included such key elements as the date of onset of liver injury, complete information about all medications taken within 6 months of onset of the event, the presence of symptoms and signs of liver disease, pertinent past medical history, complete laboratory tests, imaging and liver biopsy results, and serial results for ALT, AST, AP, serum bilirubin, and the prothrombin time or INR.
In addition to the short CRF summary, a succinct case summary called the clinical narrative was completed by the study investigator who enrolled the subject. The narrative provided detailed information on the history and chronology of the illness with dates of drug initiation and liver disease onset, pertinent features of the liver disease, and the time to improvement or recovery. The narrative also included information on past use of the implicated agent and significant concomitant drugs, the past medical history, the extent of alcohol use, whether there had been an episode of hypotension, and information on the course of the illness, including hospitalization, a history of hepatic decompensation or organ failure, and death or liver transplantation. Finally, the investigator provided a rationale for ascribing the event to a specific medication or medications without offering a personal view on the estimated strength of the association.
Publication 2010
Autoantibodies Bilirubin Biopsy Ceruloplasmin Disease Progression Drug-Induced Liver Disease Ferritin Hepatitis A Hepatobiliary Disorder Hospitalization Infection Injuries Iron Liver Liver Diseases Liver Transplantations Patients Pharmaceutical Preparations SERPINA1 protein, human Serum Times, Prothrombin
TEDDY enrolled children younger than 4.5 months of age from December 2004 to July 2010 through newborn screening for high risk HLA-DR-DQ genotypes at six centers: three in the US at the Pacific Northwest Diabetes Research Institute, Seattle, Washington; the Barbara Davis Center, Denver, Colorado; a combined Georgia/Florida site at the Medical College of Georgia, Augusta, Georgia and the University of Florida, Gainesville, Florida; and three in Europe at University of Turku, (Turku, Oulu and Tampere, Finland); Lund University, Malmo, Sweden; and the Diabetes Research Institute, Munich, Germany. Detailed study design and methods have been previously published (11 (link), 12 ). Written informed consents were obtained for all study participants from a parent or primary caretaker, separately, for genetic screening and participation in prospective follow-up. The study was approved by local Institutional Review Boards and is monitored by External Evaluation Committee formed by the National Institutes of Health.
The first primary endpoint in TEDDY is the appearance of persistent confirmed islet autoimmunity (IA). Persistent confirmed IA is defined as the presence of one confirmed autoantibody (GAD65A, IA-2A, or IAA) on two or more consecutive samples. IAs are measured in two laboratories (Barbara Davis Center, Aurora, Colorado and the University of Bristol Laboratory, Bristol, UK) depending upon the location of the clinical site. All samples identified as positive in one TEDDY laboratory are sent to the other laboratory for confirmation (13 (link)). The second primary outcome is the clinical appearance of T1D as defined using the American Diabetes Association criteria (14 ).
The TEDDY study collects participants’ stool, plasma, serum, red blood cells, peripheral blood mononuclear cells (PBMCs), along with extensive questionnaire data. Blood sample collection begins at the 3 month study visit and continues at a 3 month interval up to 4 years of age. If a subject develops persistent IA, then they continue on the 3 month interval schedule up to age 15 years; otherwise, they switch to a 6 month interval schedule. In addition, the child’s parent collects at least 5g of the child’s stool each month (up until 48 months of age, then every 3 months until the age of 10 years, and then biannually thereafter) into the three plastic stool containers provided by the clinical center. All samples have been stored at a central TEDDY repository by following the centralized DCC instructions (15 )
Publication 2014
Autoantibodies Autoimmune Diseases Child Diabetes Mellitus Erythrocytes Ethics Committees, Research Feces Genotype HLA-DR Antigens Parent PBMC Peripheral Blood Mononuclear Cells Plasma Serum Specimen Collections, Blood Youth

Most recents protocols related to «Autoantibodies»

Not available on PMC !

Example 7

In a first screening the antigen reactivities of 129 SLE patients, 75 RA patients, and 134 healthy controls categorized in accordance with age and sex were differentially tested. For this purpose, the autoantibody reactivities of these blood samples were tested on 5857 antigens coupled to Luminex beads. In order to identify antigens with which the group of all SLE patients can be distinguished from different control croups consisting of healthy samples and patients with RA, univariate statistical tests were carried out, The result, of the statistical test is illustrated as a volcano plot for all 5857 antigens. In the volcano plot, the x-axis shows the relative change of the antigen reactivity in SLE patients compared with healthy controls (FIG. 1) and RA patients (FIG. 2). The y-axis presents the p-value of the statistical tests. FIGS. 1 and 2 show that specific autoantibody reactivities were found which are increased in the group of ail SLE and which can distinguish both from healthy donors and from RA patients.

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Patent 2024
Antigens Autoantibodies Autoimmune Diseases BLOOD Donors Epistropheus Figs Patients Rheumatoid Arthritis
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Example 11

The autoantibody profiles of SLE patients with lupus nephritis were compared with those of SLE patients without lupus nephritis. Following univariate statistical evaluation, a threshold value of p<0.05 and a 1.5 times modified reactivity compared with the control group were applied. 85 antigens met these criteria and are detailed in Table 2.

FIG. 7 shows the volcano plot of the sera compared with selected lupus nephritis antigens.

Group 2 in Table 2 contains 30 additional and important antigens which can be used for the generation of lupus nephritis biomarker panels.

An L1-penalised logistic regression model with five-fold cross validation and twenty times repetition was computed for the selection of the best candidates. The antigens selected most frequently in this model computation with a frequency of more than 50% constituted the best candidates for the diagnosis of lupus nephritis.

FIG. 8 shows the frequency distribution of the lupus nephritis antigens.

Group 5 comprises further statistically significant antigens suitable for the diagnosis of lupus nephritis.

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Patent 2024
Antigens Autoantibodies Biological Markers Diagnosis Lupus Nephritis Patients Serum
Fig. S1 shows expression of CD93, CD43, IgM, and IgD in ABC-like subsets and plasmablasts, and autoantibody and total Ig production from sorted, TLR-stimulated ABC subsets related to Fig. 3. Fig. S2 shows the degree of mixed chimerism and additional data in mice from Fig. 6. Fig. S3 shows the sorting strategy, conventional flow cytometric analysis of splenocytes from donor mice, and contribution of each donor mouse to the clusters, related to Fig. 7 and Fig. 8. Fig. S3 also shows expression of selected additional genes plotted on the cluster UMAP, and pairwise plots of normalized counts from oligo-tagged surface feature antibodies for B cell clusters not included in Fig. 7 C. Fig. S4 shows a heatmap of the top 10 DEGs by cluster related to Fig. 7. Fig. S5 shows the full range of mutation frequencies and the per-cluster mutation frequencies of data summarized in Fig. 8 D. Data S1 includes the full list of DEGs output by Seurat for the clusters described in Fig. 7 and Fig. S3. Data S2 contains the inferred germline MRL/lpr V region sequences used for BCR mutation analysis in Fig. 8.
Publication 2023
Autoantibodies B-Lymphocytes Chimerism Flow Cytometry Gene Expression Germ Line Mus Mutation Oligonucleotides Receptors, Antigen, B-Cell SPN protein, human Tissue Donors
Anti-nucleosome ELISAs were performed by coating Immulon 2HB plates with 10 μg/ml poly-L-lysine (Sigma-Aldrich) in PBS. Plates were washed and coated with 15 μg/ml dsDNA prepared by digestion of calf thymus DNA (Sigma-Aldrich) with S1 nuclease (Promega) for 30 min at 37 deg followed by ethanol precipitation. Plates were subsequently washed and coated with 10 μg/ml calf thymus histones type IIAS (Sigma-Aldrich). Plates were blocked with ELISA buffer (1× PBS 1% BSA 0.05% sodium azide) and serum samples diluted 1:200 in the same buffer were applied to the top row and diluted threefold down the plate down to 1:5,400. Bound antibody was detected with alkaline-phosphatase conjugated goat anti-mouse IgG (Southern Biotech) or goat anti-mouse IgG2a (Southern Biotech) and developed with pNPP (Sigma-Aldrich). Autoantibody concentrations were determined relative to PL2-3 anti-nucleosome monoclonal antibody standard using DeltaSoft 2.8.11 software (Biometallics). Anti-RNA ELISAs were performed in a similar fashion, except plates were coated first with poly-L-lysine then with 15 μg/ml total yeast RNA (Sigma-Aldrich) before blocking and concentrations were determined relative to BWR4 standard. Total IgG and IgM ELISAs were performed by coating plates with unconjugated goat anti-mouse IgG or IgM antibody (Southern Biotech), followed by serum sample diluted 1:10,000 (IgM) or 1:50,000 (IgG) in the top row, followed by goat anti-mouse IgG-AP or IgM-AP (Southern Biotech), relative to purified IgG or IgM standards.
Publication 2023
4-aminophenylphosphate Alkaline Phosphatase anti-IgG Autoantibodies Buffers calf thymus DNA Digestion DNA, Double-Stranded Enzyme-Linked Immunosorbent Assay Ethanol Goat Histones IgG2A Immunoglobulin M Immunoglobulins Lysine Mice, House Monoclonal Antibodies Nucleosomes Poly A Promega Serum Sodium Azide Thymus Plant Yeast, Dried
This was a pilot randomized double-blind crossover trial in Y-T2DM (Supplementary Figure S1). Youth aged 10–25 years, diagnosed with Y-T2DM by the American Diabetes Association criteria (27 (link)), Tanner stage IV or V, with Hemoglobin A1c (HbA1c) ≤8% were recruited to participate in this MIGHTY-Fiber Study. Exclusion criteria included: positive diabetes related autoantibodies (GAD-65 and IA-2 autoantibodies); consumption of ≥ 2 or more servings of ≥6 oz of yogurt per day; chronic GI disease; gastric bypass surgery; cancer diagnosis or auto-immune disease; chronic insulin therapy within 3 months of the study; or use of antibiotics, immunosuppressants, hormonal contraceptives, lipid-lowering agents, proton-pump inhibitors, supraphysiologic systemic steroids, cholesterol medications, prebiotics, or probiotics in the previous month at time of screening.
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Publication 2023
Antibiotics Autoantibodies Autoimmune Diseases Cholesterol Contraceptive Agents Diabetes Mellitus Diagnosis Disease, Chronic Fibrosis Gastric Bypass Gastrointestinal Diseases glutamate decarboxylase 2 (pancreatic islets and brain, 65kDa) protein, human Hemoglobin A, Glycosylated Hypolipidemic Agents IA-2 autoantibody Immunosuppressive Agents Insulin Malignant Neoplasms Operative Surgical Procedures Pharmaceutical Preparations Prebiotics Probiotics Proton Pump Inhibitors Steroids Therapeutics Yogurt Youth

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More about "Autoantibodies"

Autoantibodies are self-reactive antibodies produced by the body's immune system that mistakenly target and bind to the body's own tissues or molecules.
These erroneous antibodies can lead to autoimmune disorders, where the immune system attacks healthy cells and tissues.
Autoantibodies are crucial biomarkers for the diagnosis and monitoring of numerous autoimmune diseases, such as rheumatoid arthritis, systemic lupus erythematosus, and type 1 diabetes.
Precise detection and quantification of autoantibodies is vital for accurate disease assessment and treatment.
Researchers can utilize PubCompare.ai's AI-driven platform to optimize their autoantibody research protocols, improve reproducibility, and streamline their findings.
This powerful tool allows researchers to locate the best protocols from literature, pre-prints, and patents using advanced AI comparisons, enhancing their autoantibody research and increasing the impact of their findings.
In addition to PubCompare.ai, researchers may also leverage other software tools such as Prism 6, GraphPad Prism 5, SAS 9.4, GenePix Pro 6.0, and Prism 8 to further analyze and visualize their autoantibody data.
These platforms offer a range of statistical analysis, graphing, and data management capabilities, enabling researchers to gain deeper insights into their autoantibody research and communicate their findings more effectively.
Whether you're investigating the role of autoantibodies in autoimmune disorders, developing new diagnostic tests, or exploring novel therapeutic approaches, PubCompare.ai and other specialized software tools can be invaluable in streamlining your research, improving reproducibility, and maximizing the impact of your work in this critical field of study.