Articles tagged with Biomarkers
Researchers from Osaka University identified ten blood proteins associated with mortality in severe burns, including HBA1, TTR, and SERPINF2. These proteins may serve as targets for developing new treatment methods for burns, offering a promising direction for future research.
Researchers have discovered a way to identify pregnant women at risk of preeclampsia by examining lipids in their blood during pregnancy. The approach worked regardless of whether the women were on aspirin therapy, and could predict the risk of preeclampsia with significant accuracy.
A new biomarker, MTBR-tau243, tracks Alzheimer's disease progression by measuring levels of a specific form of tau in cerebrospinal fluid. The finding has major implications for diagnosing and staging the disease, and could accelerate the development of effective treatments.
EPFL researchers have created a novel biosensor, ImmunoSEIRA, to detect misfolded protein biomarkers linked to Parkinson's and Alzheimer's diseases. The sensor employs AI-powered neural networks for disease stage quantification and features gold nanorod arrays with antibodies for specific protein detection.
Researchers identified three neurobehavioral profiles that distinguish individuals with elevated mania vulnerability based on reward sensitivity and sleep-circadian characteristics. These profiles can help detect mania risk and provide targets for early interventions.
A comprehensive review of biochemical markers for bone fragility in diabetes identifies low bone turnover and alterations in bone quality as key factors. The study suggests that glycemic control, AGEs, and serum IGF-1 may have predictive value for fracture risk in patients with diabetes.
A Lehigh University professor has received $4 million in NIH grants to develop an AI-driven approach for precision mental health diagnosis and care. The project aims to identify biomarkers in the brain that can predict treatment response and personalize interventions for patients with depression and other mental disorders.
Researchers at Nagoya University have discovered three new biomarkers for high-grade serous ovarian carcinoma using membrane proteins and polyketone-coated nanowires. The study reveals that small extracellular vesicles containing these proteins can be used to detect ovarian cancer, potentially leading to personalized medicine.
Researchers have confirmed that measuring retinal layer thickness can significantly improve MS diagnosis and predict progression. The study found a strong correlation between retinal damage and brain damage, paving the way for earlier treatment and better patient outcomes.
Researchers at Moffitt Cancer Center found that higher c-reactive protein levels were associated with greater depression and less physical activity among patients with gynecologic cancers. However, most inflammatory markers were not linked to treatment-related symptoms.
Researchers have identified a biomarker called CXCL-9 that can be used to diagnose acute tubulointerstitial nephritis (AIN), a condition causing inflammation of the kidneys. The biomarker can be detected via a simple urine test, potentially reducing the need for kidney biopsies.
Researchers at Korea University Medicine identified a new neuroimaging-based biomarker for MDD, the local gyrification index (LGI), which shows decreased cortical folding in patients. LGI values reflect long-drawn developmental processes and are stable markers compared to previous biomarkers.
A recent study analyzed sediment cores from a Philippine lake, revealing a 200-year period of drought in the western Pacific during the Little Ice Age. The researchers attribute this change to zonal gradients in sea surface temperature, which highlights the importance of understanding past climate dynamics for predicting future climate...
A new study published in NEJM Evidence validates a predictive AI biomarker for androgen deprivation therapy (ADT) benefit in prostate cancer. The study found that personalized use of short-term ADT could improve patient outcomes in men with predominantly intermediate-risk prostate cancer.
Researchers identify altered proteins predicting islet autoimmunity, a precursor to Type 1 diabetes. The findings mark an important step forward in predicting the disease months before symptoms appear.
Researchers found that obese patients with mild traumatic brain injuries had higher levels of inflammatory biomarkers and prolonged symptoms compared to those with healthy body mass indexes. The study suggests that obesity may mediate the inflammatory response and symptoms in mTBI patients.
Researchers used brain imaging to identify multiple subtypes of depression, finding distinct deviation patterns in functional connectivity among brain regions. This study provides leads for developing better treatments and personalized therapeutic interventions.
A study found that monitoring early-response biomarkers enables personalized dosing in prostate cancer treatment, improving patient outcomes. The approach allowed patients to take
The PETAL sensor patch measures five biomarkers to assess wound inflammation and infection, providing timely medical intervention. It is a low-cost, versatile, and customizable solution for holistic wound monitoring.
Scientists found that CXCL13-mediated recruitment of B cells helps predict response to immunotherapy treatment. This cooperation between T cells and B cells is associated with improved survival in patients treated with immunotherapy.
Researchers developed a new tool called Orion that integrates histologic and molecular information to improve cancer diagnosis and treatment. The tool uses a digital imaging platform to analyze tumor samples, identifying biomarkers that predict patient outcomes.
Researchers have found a connection between high levels of cell-free mitochondrial DNA (mtDNA) fragments in the blood and chronic inflammation, a known risk factor for severe aging symptoms. The study suggests that mtDNA fragments could be accurate biomarkers for predicting physical and cognitive decline with aging.
Researchers developed Precious1GPT, a multimodal transformer-based approach for aging clock development and feature importance analysis. The model utilizes methylation and transcriptomic data to predict biological age and identify disease-related genes, providing a pathway for therapeutic drug discovery.
Researchers found a significant correlation between vitreous humor biomarkers and pathologically confirmed cases of Alzheimer's disease and Chronic Traumatic Encephalopathy. Biomarkers in the vitreous humor may serve as a proxy for neuropathological disease, offering potential early diagnosis and prognostication.
A new review paper suggests ACSL4 status as a biomarker for breast cancer subtype classification and predictor of response to hormone-based therapies. The enzyme may also serve as a target for developing new treatment modalities in quadruple negative breast cancer.
Researchers developed an innovative imaging approach using two-photon microscopy to analyze retinal microcirculation, revealing significant changes in blood flow that may indicate brain diseases. The study suggests that microcirculation in the retina could serve as a promising predictor of cerebrovascular diseases.
Researchers have developed panels of protein biomarkers that distinguish healthy hips from those with developmental dysplasia of the hip. These biomarkers show high sensitivity and specificity in detecting hip dysplasia, offering a potential tool for early diagnosis and treatment.
The FDA has issued a Biomarker Letter of Support for four novel biomarkers identifying drug-induced pancreatic injury. These microRNAs will enhance the detection of acute drug-induced pancreatic injury (DIPI) in phase 1 clinical trials, improving safety and accuracy.
A recent study published in JAMA Network Open explores the association between adverse childhood experiences and epigenetic aging in midlife. The research found that early life experiences can accelerate biological aging, which may contribute to various health outcomes in middle-age adults.
Researchers have developed a technique to measure the effectiveness of clemastine in repairing myelin, allowing for future therapies to be assessed. Patients with MS treated with clemastine experienced modest increases in myelin water, indicating myelin repair.
Researchers found that reduced brain wave strength is linked to cognitive dysfunction in PD patients, suggesting EEG as a diagnostic tool. The study aims to improve diagnosis and develop targeted therapies for cognitive symptoms.
Researchers found immune markers associated with myocardial injury in hypertensive patients with Covid-19, including altered cytokine levels and immune cell activation. These findings suggest a key role for immune dysregulation in the development of cardiac muscle injury.
Researchers used machine learning to build predictive models for nine common diseases based on genetic information and blood biomarkers. Blood biomarkers provided better prediction in nearly all cases, especially for near-term risk, suggesting direct links between some measures and the pre-symptomatic phase of disease.
Researchers have discovered a new record of protosteroids in Earth's Middle Ages, extending the current molecular record of eukaryotes to 1600 million years ago. This finding provides a rare glimpse into the conditions surrounding the evolution of complex life and may shed light on the competitive demise of ancient eukaryote groups.
Researchers developed a new biological age indicator, DNAmFitAge, that incorporates physical fitness parameters, showing a correlation with lower mortality risk, coronary heart disease risk reduction, and improved disease-free status in physically fit individuals.
Researchers have uncovered previously unknown biomarker signatures pointing to a vast array of ancient organisms that thrived on Earth about a billion years ago. These 'protosteroids' offer an unprecedented glimpse into the conditions surrounding the emergence of complex life.
Researchers have developed a simple blood test that can diagnose De Vivo disease, a rare and disabling neurological disorder. The test, called METAglut1, has a high sensitivity and specificity, allowing for accurate diagnosis in a short amount of time.
A large genome-wide association study identified novel PSA-associated variants and developed a polygenic score to correct for genetic variations in PSA levels. This approach improved biopsy referral decisions, reducing unnecessary procedures while detecting more aggressive tumors.
Researchers have created a low-cost, RNA-based sensor design that can detect human biomarker proteins with high accuracy. The technology has the potential to significantly reduce the cost of diagnostic testing for various conditions such as arthritis and cancer.
Researchers identified mRNAs and long non-coding RNAs targeted by stress granule proteins, which accumulate AD-associated gene transcripts in these structures. SGs may play a key role in regulating AD development through the impairment of protein neurohomeostasis.
The SWOG Cancer Research Network will present 30 abstracts at the ASCO 2023 annual meeting, highlighting primary results from trials S1011, S1826, S1714, and S1929. Additionally, analysis from the S1609 DART trial will be shared publicly during the meeting.
A new study published in the Journal of the American Heart Association found that elevated levels of two protein biomarkers associated with heart damage were linked to undetected or symptomless cardiovascular disease in adults with Type 2 diabetes. The study analyzed health information and blood samples from over 10,300 adults and foun...
Researchers found that a combination of amyloid burden and blood markers of abnormal astrocyte activation can predict Alzheimer's disease progression. Testing for these biomarkers may help identify patients at risk, enabling earlier diagnosis and treatment.
Researchers at the University of Gothenburg have developed a new blood test that can measure biomarkers in the blood before and after neurosurgery, correlating with the extent of brain injury. The study found that high levels of certain markers may indicate damage that could cause cognitive problems for patients in the long term.
Researchers developed a novel blood serum assay to diagnose neurodegenerative diseases by detecting abnormal α-synuclein. The assay, IP/RT-QuIC, can efficiently detect low concentrations of α-synuclein seeds and distinguish between Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy.
Researchers found reduced editing efficiency of GluA2 mRNA in ALS patients' cerebrospinal fluid, correlating with longer disease duration and advanced symptoms. This discovery could lead to the development of therapies targeting RNA editing for treatable ALS cases.
Researchers developed a drug treatment that inhibits YTHDF2, improving results of radiation therapy and preventing progression of distant metastasis. The treatment also prevents the "bad-scopal" effect, where radiation causes distant tumors to metastasize.
Researchers found specific HLA molecules linked to MPO-AAV susceptibility and increased risk of relapse, potentially leading to precision medicine solutions for treatment. Biomarkers may be developed to predict relapse risk, improving patient outcomes.
Researchers at Brown University have developed a new imaging technique to track changes in blood vessels in the brains of mice, which could lead to early detection of neurodegenerative diseases. The method uses advanced imaging techniques and AI algorithms to identify biomarkers that may predict disease onset.
A Danish nationwide cohort study found that COVID-19 patients, especially those over 70, had a significantly higher risk of developing new-onset mental disorders compared to the general population. Hospitalized COVID-19 patients showed increased mental disorder risk similar to non-COVID-19 hospitalizations.
Research reveals that chronic heart rate failure during exercise is a common reason for long-term exercise intolerance in Long COVID patients. The study also found a correlation between early post-COVID inflammation biomarkers and reduced exercise capacity, suggesting potential therapeutic targets.
Researchers have recorded pain-related data from inside the brains of individuals with chronic pain disorders, identifying an area associated with chronic pain and objective biomarkers. The findings, published in Nature Neuroscience, represent a step towards developing novel methods for tracking and treating chronic pain.
A study found that measuring three potential biomarkers on day three after a stem cell transplant can identify patients at risk of sinusoidal obstruction syndrome (SOS). Patients with positive scores were 9.3 times more likely to develop SOS and more likely to die within 100 days.
Researchers developed human calprotectin ligands based on peptides to detect and quantify the protein in stool samples or serum levels, offering a more accurate and controlled way of detecting biomarkers.
Researchers at Purdue University have developed a technique to identify Parkinson's disease-linked proteins and their downstream pathways in urine samples using EVtrap technology. This noninvasive method may lead to widespread early diagnosis and intervention for neurodegenerative diseases, including cancer.
Researchers at Case Western Reserve University have identified a panel of long intergenic non-coding RNAs that are
Researchers tested zoledronic acid's effects on cellular senescence using multiple approaches. The study found that zoledronic acid killed senescent cells with minimal effects on non-senescent cells and reduced circulating SASP factors, including CCL7, IL-1β, TNFRSF1A, and TGFβ1.
Researchers developed a biobank of head and neck cancer organoids to validate biomarkers and predict treatment responses. The study found that organoid responses matched patient outcomes, suggesting potential for personalized therapies.
Researchers at USC Norris Comprehensive Cancer Center have identified a biomarker, CX3CR1, that can predict which patients with non-small cell lung cancer will respond well to chemoimmunotherapy. Elevated levels of the biomarker in T-cells after six to nine weeks of treatment indicate long-term benefits from the combination therapy.
Scientists from Forsyth Institute develop CRISPR-based diagnostic tool that can detect specific oral pathogens with high sensitivity and specificity. The test can be performed in a dental office without technical expertise, providing comprehensive information on oral health and systemic diseases like diabetes, heart disease, and cancer.