Articles tagged with Biomarkers
Researchers from Imperial College London have developed a new detection system that can detect single protein biomarkers directly in human serum, allowing for earlier treatment of diseases. The system uses synthetic DNA molecules to bind to specific target biomarkers and measure changes in electrical current through nanopores.
Researchers have linked changes in brain anatomy to early biomarkers of Alzheimer's disease, suggesting a non-invasive test may detect AD before symptoms appear. The study found that specific regions of the hippocampal circuit shrink in individuals with high levels of tau and amyloid-Beta proteins.
Researchers at the University of Huddersfield have developed a method to quickly detect signs of multiple sclerosis using blood samples. The discovery identifies two natural biomarker compounds, sphingosine and dihydrosphingosine, which are found to be at significantly lower concentrations in patients with MS.
The 2017 WRIB White Papers cover topics such as LCMS small molecules, hybrid LBA/LCMS biotherapeutics, and immunogenicity assays. An interactive Decennial Index of the White Papers provides a decade-long overview of recommendations on bioanalysis and biomarkers.
A novel DNA detector was developed using ultrathin layers, including a nanoporous silicon nitride membrane that serves as a prefilter and a biosensor membrane with a single nanopore. The device creates a nanocavity filled with less than a femtoliter of fluid, improving the precision and reproducibility of DNA detection.
A new study by Children's National Hospital suggests that severely premature children are more susceptible to human rhinovirus infections and may require earlier and more intensive supportive care. The research found a 'dose effect' of prematurity, with children born more prematurely having a higher risk of wheezing and retractions.
Researchers identified an association between a specific SLC6A15 polymorphism and resting-state brain function in multiple brain regions in patients with MDD. The study suggests a potential genetic link to the development of major depressive disorder.
Researchers at Columbia University Irving Medical Center have identified biomarkers that can aid in the development of better treatments for schizophrenia. The biomarkers were successfully tested in over 90% of individuals who received ketamine, and reliably distinguished them from those who had been given a placebo.
Researchers at Purdue University have developed microelectromechanical resonators that can detect biological markers in small amounts of blood, allowing for early disease detection and treatment. The test has potential applications in detecting traumatic brain injury, Alzheimer's disease, Parkinson's disease, and other conditions.
Research suggests that chronic inflammation in mid-life may be an early contributor to brain cell loss and memory decline associated with Alzheimer's disease. The study found people with elevated inflammation biomarkers had smaller brain volumes and lower scores on a memory test compared to those without elevated markers.
Researchers found that 46% of patients experienced mucosal healing after 48 weeks in a tight control protocol compared to 30% in clinical management. The study demonstrated superior outcomes using biomarker monitoring and symptom assessment.
A new study published in PLOS ONE demonstrates that Videssa Breast, a liquid biopsy test, can reliably rule out breast cancer in women with dense and non-dense breast tissue. With an over 99% negative predictive value, clinicians can confidently use the test to detect cancer in women with dense breasts.
A new study published in the American Journal of Respiratory and Critical Care Medicine found that e-cigarettes trigger both unique and familiar immune responses in the lungs. Researchers compared sputum samples from e-cigarette users, cigarette smokers, and non-smokers, revealing significant increases in inflammatory biomarkers, oxida...
Engineers at the University of Arizona have developed a new method to control charge transfer rate from an organic polymer to a biomarker molecule, advancing the field of organic bioelectronics. Their findings show that electron transfer rate depends directly on applied voltage and demonstrate Marcus' theory of inverted charge transfer.
A new NIH-funded study finds that biomarkers for ovarian reserve do not predict fertility in older women attempting to conceive. Hormone levels linked to menopause onset were also found to have no association with conception rates.
A study published in JAMA found that biomarkers indicating diminished ovarian reserve were not associated with reduced fertility in women aged 30-44 attempting natural conception. Low AMH or high FSH levels were not linked to lower fecundability or cumulative probability of conceiving.
Altered MAIT cell concentration and function are linked to T1D pathogenesis, compromising gut mucosa homeostasis and favoring autoimmune responses.
A new biomarker detects Alzheimer's disease in its preclinical phase, identifying individuals with impaired neuropsychological and neurophysiological functions. The discovery has high accuracy and sensitivity, offering a promising approach to early diagnosis and treatment.
Boston University School of Medicine researcher Hugo J. Aparicio is studying the associations between novel vascular biomarkers and cognitive dysfunction in a community-based study. The goal is to identify potential biomarkers for aging-related dementia, which could lead to earlier detection and treatment.
The partnership between genetic testing companies and orphan drug developers has both positive and negative implications. On the one hand, it can lead to faster diagnosis and treatment of rare diseases. However, there are also concerns over patient privacy and potential price-gouging due to rising healthcare costs.
Researchers developed a microfluidics-based approach to detect PD-L1 and other biomarkers in patient blood samples. The novel assay demonstrated a mean detection rate of 22.8% for PD-L1 and PD-L2 expression levels, offering promise for non-invasive cancer diagnosis and treatment monitoring.
Dr. Hankinson aims to improve breast cancer risk prediction by analyzing blood samples from thousands of NHS participants and studying the insulin pathway. She hopes to validate new hormonal biomarkers that can help identify high-risk women who may benefit from risk reduction efforts.
A new biomarker, LRG1, can predict the occurrence of pre-eclampsia in pregnant women with type 1 diabetes, increasing their risk by 4 times. The study found that LRG1 levels were significantly higher in women who developed PE compared to those who did not.
Researchers found that thirdhand smoke exposure causes significant health effects in mice as early as one month after initiation of exposure, including liver damage and insulin resistance. The effects worsen with time, with stress hormones increasing and immune fatigue developing at longer exposure durations.
A new study has demonstrated the potential of using a frequency distribution-based index of brain functional connectivity as a biomarker for detecting Alzheimer's disease and mild cognitive impairment. The findings show good accuracy across databases and test sites, offering promise for widespread clinical usage.
Researchers at Boston Children's Hospital have developed a new DNA nanoswitch platform that can detect biomarkers associated with different diseases, viral strains, and genetic variabilities. The NLISA system uses gel electrophoresis to screen synthesized DNA reagents that change shape in the presence of a specific biomarker.
A new study published in Scientific Reports found that measuring five key biomarkers in blood can quickly identify patients with sepsis, potentially saving lives. The researchers used machine learning models to determine the predictive power of using traditional vital sign data, biomarkers alone, or a combination of both.
A ground-breaking concussion study is underway, involving rugby players, to develop a rapid test for diagnosing concussions. The test, which measures biomarkers present in saliva and urine, has the potential to improve diagnosis and treatment of brain trauma, particularly in sports.
Researchers discuss evolving treatments and future therapies for osteoarthritis pain, highlighting the limitations of existing treatments and introducing new potential treatment targets. Combination therapies and biomarkers are also explored as promising approaches to improve effective pain treatment.
Researchers have developed a rapid portable test for liver cancer that can detect the disease in two minutes and can be administered wherever the patient is. The test uses gold nanoparticles to trap biomarkers from biological fluids, making it a potential game-changer in combating this deadly disease.
Researchers developed self-powered, paper-based devices that detect biomarkers and identify diseases with high accuracy. The devices use electrochemical analyses powered by the user's touch and can be used in remote villages or military bases without requiring electricity or additional equipment.
Researchers have developed a more precise way of diagnosing suicide risk by identifying biomarkers in blood that change in concert with changes in suicidal thoughts. A refined set of biomarkers applies universally to predict risk of suicide among both male and female patients, while others are specific to diagnoses and genders.
Researchers studied health effects of job transition on employed vs unemployed adults, finding that poor quality work was linked to higher chronic stress biomarkers and worse physical health. Good quality work, however, was associated with improved mental health scores.
Researchers have discovered a new biomarker associated with mucopolysaccharidoses (MPS), a group of rare genetic disorders. Elevated CSF spermine levels were linked to CNS symptoms in patients, providing a potential diagnostic tool and target for novel therapeutics.
Researchers have identified two new biological markers of cystic fibrosis, which could lead to improved prognosis and better therapies for patients. The biomarkers were discovered through a specialized technique developed at McMaster University, where scientists collected and analyzed sweat samples from infants in CF clinics.
Researchers at Ohio State University have identified new physical biomarkers that can help confirm a diagnosis and predict disease progression. The study uses changes in proteins found in spinal fluid and blood to rate the severity of illness, identifying stages and progression with increased reliability.
Researchers found that PACs mainly derive from biosynthetic compounds of high plants and microbial/fungal precursors. The occurrence of PACs is affected by coal rank, origins, depositional environment, formation history, and geological ages.
Researchers discovered a single nucleotide polymorphism in the hepcidin promoter gene associated with increased susceptibility to extrapulmonary tuberculosis. This genetic variation leads to decreased hepcidin production, impairing macrophage function and allowing M. tuberculosis to spread to other areas of the body.
A research team at KAIST developed diagnostic sensors using protein-encapsulated nanocatalysts to analyze human exhaled breath and diagnose diseases. The sensors achieved high sensitivity and selectivity, detecting biomarker gases related to diseases with improved performance compared to conventional platinum-based catalysts.
Researchers found that social rank triggers differential vulnerability to chronic stress and identifies brain energy metabolism as a predictive biomarker. The study showed that dominant mice display susceptibility to stress through social avoidance, while subordinate mice exhibit resilience.
A newly identified biomarker panel correctly detects early pancreatic cancer in human cells, improving the ability to diagnose patients at different stages of their disease. The panel combines plasma thrombospondin-2 with CA19-9 levels for reliable detection of pancreatic cancer, potentially altering treatment outcomes.
Researchers used Bio-Rad's Droplet Digital PCR to detect patient response to immunotherapies, identifying pseudoprogression. A biomarker detected by ddPCR indicates how well patients with non-small cell lung cancer respond to treatment, guiding toxic treatments only when necessary.
Scientists have identified three inflammatory biomarkers that can detect traumatic brain injury (TBI) within hours of occurrence. The discovery could lead to the development of a test for diagnosing TBI on the sidelines of sports pitches or by paramedics, allowing for timely treatment and reduced disability.
Researchers from the University of Copenhagen found that fasting blood sugar and/or fasting insulin can be used to select optimal diets and predict weight loss, particularly for those with prediabetes. A diet rich in vegetables, fruits, and wholegrains may improve diabetes markers for most people with prediabetes.
A new study published in PLOS ONE demonstrates a single molecule microRNA technology that can detect liver toxicity with high accuracy and specificity. The method, developed by Quanterix, uses a PCR-free approach to measure miR-122, a promising biomarker for drug-induced liver injury.
A recent study published in Neurology suggests that people with normal thinking and memory skills but poor sleep quality may be at higher risk of developing Alzheimer's disease. Researchers found a link between sleep disturbances and biological markers for Alzheimer's disease in spinal fluid, including amyloid plaques and tau tangles.
Researchers at Okinawa Institute of Science and Technology Graduate University developed a new printing method to create effective disease detection tools using microfluidic bioassay devices. The device is about the size of a postage stamp and can detect multiple biomarkers for complex diseases like cancer.
A comprehensive review of rapidly changing data identified four neural-behavioral models associated with PTSD, pinpointing specific circuits in the brain that mediate between chemical changes and behavioral expressions. The study provides detailed tables to help healthcare providers recognize signs and symptoms of PTSD for diagnosis.
Insilico Medicine will showcase its latest AI advancements in aging research and personal health data management. The company aims to apply deep learning to improve biomarker development, predict chronological age, and provide geroprotectors for various diseases.
A single dual time-point PET scan can identify two important biomarkers of Alzheimer's disease: neuronal injury and amyloid load. This non-invasive method shows promise for early diagnosis and personalized treatment.
The new technology uses electronically barcoded microparticles to test for biomarkers, bacteria, viruses, air contaminants and more. It aims to enable true labs on chips, smaller than a USB flash drive or an Apple Watch, for real-time health monitoring and diagnosis.
A new study has found that a decades-old malaria drug can safely lower levels of a toxic protein linked to familial ALS. The research suggests the drug could potentially slow disease progression in patients with genetic mutations.
The graphene-based sensor accurately measures nitrite in exhaled breath condensate, providing a promising biomarker for inflammation in the respiratory tract. This innovation has the potential to improve asthma management, prevent hospitalizations, and reduce deaths worldwide.
Researchers identified brain scans, genetic tests, and CSF analysis as predictive biomarkers for Parkinson's disease-related cognitive decline. Biomarkers associated with dopamine deficiency, beta-amyloid protein, and single nucleotide polymorphisms were found to correlate with cognitive impairment in newly diagnosed patients.
Researchers identified biomarkers that correlate with cognitive decline in early Parkinson's disease, including dopamine deficiency, brain atrophy, and genetic mutations. The study may improve clinical care and develop new treatments for cognitive impairments in Parkinson's disease.
A low-glycemic diet has been shown to arrest damage to the retina and halt the development of age-related macular degeneration (AMD) in mice. The study identified potential biomarkers, including AGEs and oxidized fats, that can be used to predict AMD risk.
Researchers found that injecting an anti-inflammatory steroid directly into the tissue surrounding a leg artery reduced inflammatory biomarkers and prevented repeat blockages. The treatment showed promise for improving treatment outcomes for patients with peripheral artery disease.
A new biomarker, GDF15, has been identified as a potential predictor of vision loss in glaucoma patients. The biomarker, which measures stress to cells rather than cell death, was found to be elevated in mice and humans with glaucoma, correlating with disease severity.
Researchers found that white blood cell counts at baseline and during therapy predict whether patients will respond to nivolumab treatment. A greater number and concentration of natural killer cells were associated with response to treatment.
A single blood test measuring glycated CD59 at week 24-28 of gestation identified women with GDM with high sensitivity and specificity. The study found that median levels of plasma GCD59 were 8.5-fold higher in women who failed the GCT and 10-fold higher in women diagnosed with GDM.