Articles tagged with Biomarkers
Researchers have identified a pattern of brain activity, or biomarker, related to clinical signs of recovery from treatment-resistant depression. The study found that 90% of patients showed significant improvement in depression symptoms after six months of DBS therapy.
A new study uses AI to predict mortality rates in patients with hip fractures, identifying key biomarkers for poor outcomes. The model achieved accurate predictions using basic blood and lab test data as well as demographic information.
A team of researchers has identified a unique pattern in brain activity that reflects the recovery process in patients with treatment-resistant depression. After six months of deep-brain stimulation therapy, 90% of patients exhibited significant improvement in their symptoms and 70% no longer met the criteria for depression.
Scientists have identified a DNA methylation pattern that can accurately diagnose pancreatic cancer, distinguishing it from chronic pancreatitis. The marker, which involves six specific methylation positions in the PRKCB gene, has been validated on tissue and blood samples, offering hope for improved diagnosis and treatment.
A recent study published in the American Journal of Kidney Diseases found that lower uromodulin levels are associated with a higher risk of developing end-stage kidney disease. Participants who experienced steeper declines in uromodulin also showed an increased risk of kidney failure.
Researchers at Lund University discovered a blood biomarker called DOPA decarboxylase (DCC) that can identify Parkinsonian diseases by measuring elevated levels in the blood, regardless of disease progression
A new study introduces the concept of a 'noise barometer,' measuring biological age based on epigenetic changes. The researchers found that specific cytosines show increased variability with age, indicating a biomarker for aging and disease. This approach provides a novel perspective on aging research.
A study at the Technical University of Munich found that people with long Covid experience altered blood vessels in the eye, which could be used to diagnose the condition. Persistent inflammatory responses were also linked to symptom severity and chronic inflammation.
A study at the University of Tsukuba has found that changes in brainwave activity can objectively measure depression, enabling early detection and treatment. The research used electroencephalogram (EEG) tests to track brain wave patterns over a two-to-four week period.
Researchers created a machine-learning algorithm using the largest data set of digital biomarkers for hot flashes. The predictive system delivers cooling to mitigate or fully alleviate hot flashes using Embr Wave's wearable device.
A study of nearly 20,000 patients found that the color of their phlegm can indicate the degree of inflammation in their lungs and predict future outcomes. Patients with darker green or brown-colored sputum were at a higher risk of exacerbations, hospitalizations, and death.
Researchers have demonstrated the effectiveness of five noninvasive tests for liver disease, which could revolutionize diagnosis and treatment. These tests use disease biomarkers and may enable breakthrough discoveries in developing new treatments for patients with liver disease.
Researchers found that pregnant mice experiencing copy number variation (CNV) showed similarities to aging, with biomarkers and genetic effects appearing during pregnancy and reversing after delivery. This study aims to revolutionize aging treatment by investigating the mechanisms behind post-labor rejuvenation.
Researchers have created a new method to investigate the sugars coating immune cells, which could lead to the identification of novel disease biomarkers and improved cancer detection. This technique allows for the isolation of distinct cell populations and analysis of glycosylation patterns in healthy versus diseased patients.
Researchers have developed a new tool that measures children's looking behavior to predict expert clinical diagnosis of autism in children between 16-30 months. The tool provides objective measurements of social disability, verbal ability, and non-verbal learning skills.
The EarliPoint device is a first-of-its-kind FDA-authorized tool for early diagnosis of autism spectrum disorder. Early detection can help jumpstart targeted treatment plans, improving outcomes for individuals with autism.
Researchers developed a photoelectrochemical technique to precisely tune the lasing wavelength of microdisk lasers with subnanometric accuracy. The new approach facilitates the fabrication of micro- and nano-laser batches with precise emission wavelengths.
Researchers at Brigham and Women's Hospital have developed a cohesive framework for evaluating biomarkers of aging, providing a robust classification system for the identification and validation of molecular markers. The framework highlights key criteria for evaluation, including age-sensitivity and generalizability across cell types, ...
Researchers from Helmholtz Munich and TU Dresden develop AI-powered biomarker detection that outperforms previous approaches. The algorithm achieves high sensitivity on resection tissue samples and shows promise as a pre-screening tool for biopsy tissue.
A new blood-based test called p-tau217 has shown great promise in identifying Alzheimer's disease by stratifying patients into low, intermediate, and high-risk groups. The two-step workflow reduces the need for confirmatory testing in uncertain cases.
A novel study from the University of South Australia identified 84 features that could signal increased cancer risk in a dataset of 459,169 UK Biobank participants. The study found several biomarkers linked to cancer risk, including urinary microalbumin and high levels of cystatin C.
Researchers evaluated biochemical recurrence as a surrogate endpoint for overall survival, but found no reliable correlation. Biochemical recurrences occur early in the disease course and may impact quality of life, but high-level data tracking this is lacking.
Experts from the Aging Biomarker Consortium propose a framework of biomarkers for brain aging, aiming to assess brain health and prevent age-related diseases. The consensus statement identifies key biomarkers reflecting 'real age', brain structure, and function.
Researchers developed a digital biomarker that detects early signs of Alzheimer's disease using EEG headbands, identifying abnormal levels of proteins in sleep patterns. The study found measurable problems with memory reactivation in 205 aging adults, paving the way for affordable devices to monitor brain health.
A large retrospective analysis using AI-powered proteomics data predicts major atherosclerotic cardiovascular disease events. The protein risk score captures additional risk beyond established factors and has the potential to be modified by treatment.
A new study found that a simple blood test can predict the risk of progressive heart and kidney disease in people with Type 2 diabetes. The test measures levels of four biomarkers, which fell after treatment with canagliflozin, a type 2 diabetes medicine.
Researchers developed a minimally invasive microneedle platform capable of detecting protein biomarkers in response to immunotherapy against melanoma. The approach integrates with ultra-sensitive single-molecule detection and shows promise for effective drug screening and patient stratification.
A new study found that high-stress caregivers had higher klotho levels and longer telomeres in specific immune cells, which may provide protection against aging. In contrast, low-stress caregivers showed no significant associations between klotho levels and telomere length.
Researchers developed an AI model that estimates age from chest X-rays and found a correlation between age discrepancy and chronic diseases like hypertension and COPD. The model was validated using data from multiple institutions, showing strong results.
A promising molecular diagnostic tool uses a single biomarker to detect primary bladder cancer in patients with hematuria, showing high sensitivity and accuracy. The noninvasive test offers advantages such as shorter turnaround time and efficient analysis of results.
A growing number of studies highlights the power of dogs in detecting COVID-19 and its variants, even when obscured by other viruses. Trained scent dogs are as effective and often more effective than antigen tests and RT-PCR tests, detecting the virus faster and without environmental impact.
Researchers examine translational studies on peripheral surrogates of tumor burden, including circulating tumor DNA, miRNA, and HPV-specific antibodies, to inform chemotherapy and immunotherapy strategies. These biomarkers show promise as prognostic and predictive markers of response to treatment.
Researchers at La Jolla Institute for Immunology and Augusta University have identified a link between
A study of 1,300 patients has identified a specific antibody, MOG-IgA, which may differentiate another MS-like illness from others. This discovery could lead to better understanding of the causes and treatment of these autoimmune diseases.
A multicenter team has identified three risk biomarkers for chronic graft-versus-host-disease, which can be measured at 90 days after transplantation. These markers include MMP3, DKK3, and CXCL9, which are associated with fibrosis, inflammation, and immune cell attraction.
Researchers at the University of Eastern Finland identified 58 plasma proteins associated with mental health risk in adolescents aged 11-16. These biomarkers could revolutionize early detection and prevention of mental health problems in young individuals.
A new study shows that estrogen receptor (ER) expression in ductal carcinoma in situ (DCIS) is multi-clonal, meaning it varies across different cells. This finding has significant clinical implications, as it may help avoid overtreatment and undertreatment in DCIS patients.
Researchers found that stable, long-term elevation in urinary albumin excretion is associated with a high risk of new-onset heart failure and mortality. Persistently high levels were linked to older patients and those with conditions like diabetes and previous heart attacks.
Researchers developed new methods for detecting drug-induced hepatotoxicity using 3D cell cultures and mass spectrometry imaging, identifying biomarkers and effective interventions. A zeolite-based protein corona method was also used to characterize plasma proteins, enabling the identification of low-abundance proteins and their potent...
Research found that very light exercise can improve prefrontal executive function, with pupil dilation during exercise indicating subsequent improvement. Pupil-linked neural activity was also shown to activate the brain's noradrenergic arousal system.
Using plasma circulating tumor DNA testing can expedite biomarker testing and time to treatment for patients with suspected advanced lung cancer. The study suggests that this approach may improve patient outcomes.
A new multiplex assay has been developed to assess activated p300/CBP in circulating prostate tumor cells, revealing correlations with clinical outcomes and potential therapeutic targets for castration-resistant prostate cancer. The study found that patients with upregulated p300/CBP activity had shorter response times to ARSI therapy.
Researchers are working on a rapid non-invasive diagnostic test using saliva to quickly identify stroke patients who need time-critical treatment. The study aims to develop biomarkers that can accurately distinguish between different types of stroke, enabling suitable patients to receive appropriate treatment speedily.
A study of 500,000 people in the UK Biobank found small but significant associations between systemic inflammation and later dementia risk. Elevated inflammatory biomarker levels were associated with increased risk of dementia diagnosis and poorer cognitive performance.
Researchers at the Max Delbrück Center have identified a potential new biomarker for Alzheimer's disease, protein Arl8b. The study found that patients with Alzheimer's have significantly more Arl8b in their cerebrospinal fluid than healthy controls.
A new poll of people aged 65-80 found that 80% believe cognitive tests can give early warning signs of memory decline and 60% think healthcare providers should offer them annually. Despite this, only 1 in 5 have had a cognitive screening test in the past year.
Researchers at the University of South Australia have discovered three new biomarkers for prostate cancer that can accurately visualize and grade the disease. The breakthrough technology will enable clinicians to determine which patients require immediate treatment, potentially saving thousands of lives annually.
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 at MUSC have identified a potential novel biomarker for sepsis, which can be predicted by the contents of extracellular vesicles in the bloodstream. This discovery could lead to more accurate diagnosis and personalized treatment strategies for sepsis patients.
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 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.
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.
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.