Biological Markers
They are molecullar, biochemical, or genetic markers that can be used to assess risk, diagnose disease, or monitor response to treatment.
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Most cited protocols related to «Biological Markers»
These nine biomarkers and chronological age were then included in a parametric proportional hazards model based on the Gompertz distribution. Based on this model, we estimated the 10-year (120 months) mortality risk of the j-the individual. Next, the mortality score was converted into units of years (
To visualize the performance of the various biomarkers in datasets including different number of patients, we have generated funnel plots depicting the hazard ratio (and confidence intervals) on the horizontal axis vs. the sample size on the vertical axis for each dataset. We also added an option to the online interface to simultaneously perform the analysis in each of the individual datasets. Finally, significance was set at p<0.01.
Most recents protocols related to «Biological Markers»
Example 12
As a proof of concept, the patient population of this study is patients that (1) have moderate to severe ulcerative colitis, regardless of extent, and (2) have had an insufficient response to a previous treatment, e.g., a conventional therapy (e.g., 5-ASA, corticosteroid, and/or immunosuppressant) or a FDA-approved treatment. In this placebo-controlled eight-week study, patients are randomized. All patient undergo a colonoscopy at the start of the study (baseline) and at week 8. Patients enrolled in the study are assessed for clinical status of disease by stool frequency, rectal bleeding, abdominal pain, physician's global assessment, and biomarker levels such as fecal calprotectin and hsCRP. The primary endpoint is a shift in endoscopy scores from Baseline to Week 8. Secondary and exploratory endpoints include safety and tolerability, change in rectal bleeding score, change in abdominal pain score, change in stool frequency, change in partial Mayo score, change in Mayo score, proportion of subjects achieving endoscopy remission, proportion of subjects achieving clinical remission, change in histology score, change in biomarkers of disease such as fecal calprotectin and hsCRP, level of adalimumab in the blood/tissue/stool, change in cytokine levels (e.g., TNFα, IL-6) in the blood and tissue.
For example, treatment for a patient that is diagnosed with ulcerative colitis is an ingestible device programmed to release a single bolus of a therapeutic agent, e.g., 40 mg adalimumab, in the cecum or proximal to the cecum. Prior to administration of the treatment, the patient is fasted overnight and is allowed to drink clear fluids. Four hours after swallowing the ingestible device, the patient can resume a normal diet. An ingestible device is swallowed at the same time each day. The ingestible device is not recovered.
In some embodiments, there may be two different ingestible devices: one including an induction dose (first 8 to 12 weeks) and a different ingestible device including a different dose or a different dosing interval.
In some examples, the ingestible device can include a mapping tool, which can be used after 8 to 12 weeks of induction therapy, to assess the response status (e.g., based on one or more of the following: drug level, drug antibody level, biomarker level, and mucosal healing status). Depending on the response status determined by the mapping tool, a subject may continue to receive an induction regimen or maintenance regimen of adalimumab.
In different clinical studies, the patients may be diagnosed with Crohn's disease and the ingestible devices (including adalimumab) can be programmed to release adalimumab in the cecum, or in both the cecum and transverse colon.
In different clinical studies, the patients may be diagnosed with illeocolonic Crohn's disease and the ingestible devices (including adalimumab) can be programmed to release adalimumab in the late jejunum or in the jejunum and transverse colon.
Example 22
Clinicians can use several biochemical measurements to objectively assess patients' current or past alcohol use. Several more experimental markers hold promise for measuring acute alcohol consumption and relapse. These include certain alcohol byproducts, such as acetaldehyde, ethyl glucuronide (EtG), and fatty acid ethyl esters (FAEE), as well as two measures of sialic acid, a carbohydrate that appears to be altered in alcoholics (Peterson K, Alcohol Research and Health, 2005). Clinicians have had access to a group of biomarkers that indicate a person's alcohol intake. Several of these reflect the activity of certain liver enzymes: serum gamma-glutamyltransferase (GGT), aspartate aminotransferase (AST), alanine aminotransferase (ALT), and carbohydrate-deficient transferrin (CDT), a protein that has received much attention in recent years. Another marker, N-acetyl-β-hexosaminidase (beta-Hex), indicates that liver cells, as well as other cells, have been breaking down carbohydrates, which are found in great numbers in alcohol (Javors and Johnson 2003).
In some embodiments the disclosed device focuses on detecting markers associated with alcohol abuse from menstrual blood or cervicovaginal fluid.
Example 8
Serum samples from patients were tested with the FLNA IPMRM, as described above, using the anti-FLNA monoclonal antibodies of the invention. The results were combined with data on age, PSA, and Gleason score and subjected to regression modelling. As shown in
Samples of patient serum were also analyzed for the biomarkers FLNA, keratin 19 (KRT19) and age combined, versus PSA alone.
Example 17
Since interferon signaling is spontaneously activated in a subset of cancer cells and exposes potential therapeutic vulnerabilities, it was tested whether there is evidence for similar endogenous interferon activation in primary human tumors. An IFN-GES threshold was computed to predict ADAR dependency across the CCLE cell lines and was determined to be a z-score above 2.26 (
Furthermore, analysis of TCGA copy number data showed that the interferon gene cluster including IFN-β (IFNβI), IFN-ε (IFNE), IFN-ω (IFNWI), and all 13 subtypes of IFN-α on chromosome 9p21.3, proximal to the CDKN2A/CDKN2B tumor suppressor locus, is one of the most frequently homozygously deleted regions in the cancer genome. The interferon genes comprise 16 of the 26 most frequently deleted coding genes across 9,853 TCGA cancer specimens for which ABSOLUTE copy number data are available (
In summary, specific cancer cell lines have been identified with elevated IFN-β signaling triggered by an activated cytosolic DNA sensing pathway, conferring dependence on the RNA editing enzyme, ADAR1. In cells with low, basal interferon signaling, the cGAS-STING pathway is inactive and PKR levels are reduced (
Example 16
Blood samples were taken from mice with CAKI-1 RCC tumors, 44 days after CAR T administration. Briefly, 100 ul of mouse whole blood was collected via submandibular vein. Red blood cell lysis buffer was used to achieve optimal lysis of erythrocytes with minimal effect on lymphocytes. Human CD45 and mouse CD45 were used as a biomarker to separate human and mouse cells by FACS. The blood samples were evaluated by flow cytometry looking for absolute CAR T counts as well as memory T cell subsets. An anti-CD70 CAR anti-idiotype antibody was used to detect CAR T cells and CD45RO+CD27+ to define central memory T cells. See U.S. Patent Application No. 63/069,889, the relevant disclosures of which are incorporated by reference for the subject matter and purpose referenced herein.
The results demonstrate that the addition of the TGFBRII and Regnase-1 gene edit significantly enhanced the population of central memory T cells compared to the edit of either TFGBRII or Regnase-1 alone, which correlates with massive expansion of CAR T cells (
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More about "Biological Markers"
These markers can be molecular, biochemical, or genetic in nature and are widely used in research, diagnostics, and clinical practice.
Biomarkers play a crucial role in assessing risk, diagnosing diseases, and monitoring response to treatment.
They provide valuable insights into the underlying biological processes and can help researchers and clinicians make more informed decisions.
The analysis of biomarkers often involves the use of advanced analytical techniques and software tools.
For example, researchers may utilize platforms like Prism 8, SAS version 9.4, or GraphPad Prism (versions 5, 6, and 7) to visualize and analyze biomarker data.
Additionally, technologies such as the Agilent 2100 Bioanalyzer and the HiSeq 2500 sequencing platform can be employed to measure and quantify specific biomarkers.
One important class of biomarkers is nucleic acid-based markers, which can be detected and quantified using techniques like RT-PCR and RNA sequencing.
The TRIzol reagent is a commonly used tool for extracting and purifying RNA from biological samples, enabling the measurement of these genetic biomarkers.
PubCompare.ai's AI-powered platform can help researchers and clinicians navigate the vast landscape of biomarker literature, preprints, and patents.
The platform's cutting-edge tools allow users to locate the most effective and optimized protocols for measuring and analyzing biological markers, enhancing research reproducibility and accelerating scientific discoveries.