Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
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.
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.
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.
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 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.
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.
Researchers developed a predictive model to identify tumor biomarkers of cachexia in lung cancer patients. The study used machine learning to build a muscle loss prediction model based on muscularity, clinical data, and the transcriptional profile from the tumor microenvironment.
A study published in Cell Reports Medicine found that pro-inflammatory cell types dominate the intestinal mucosa of children with inflammatory bowel disease, while protective cells are underrepresented. The results provide new insights into the immunology of IBD and may lead to the development of more effective treatments.
A new study found a strong link between bone biomarkers and survival rates in men with hormone-sensitive prostate cancer treated with hormone therapy. The research, published in European Urology, analyzed results from a large clinical trial and found that elevated bone biomarkers were associated with an increased risk of death.
A Chinese Medical Journal review highlights the health hazards of air pollution, particularly from fine particulate matter (PM2.5), which is associated with increased risks of cardiovascular disease, hospitalization, and respiratory mortality. The study suggests that reducing PM2.5 levels through government interventions and individual...
The LY6 gene family has been found to be overexpressed in uterine corpus endometrial carcinoma (UCEC), leading to poor patient survival. Several LY6 genes have been identified as potential tumor-associated antigens and biomarkers for UCEC detection and prognosis.
A diagnostic study using 4,095 retinal fundus images found that biomarker-based AI algorithms can be susceptible to racial bias, even when trained on raw images. This issue highlights the need for careful evaluation of AI performance in diverse populations.
A deep neural network developed by researchers at the University of California - Santa Cruz has been shown to accurately classify particle signals with 99.8% accuracy in real-time. The system can identify weak or noisy signals and pinpoint their source, making it suitable for point-of-care applications.
Researchers discuss the importance of biomarkers in breast lump management, enabling patients to make informed decisions between proactive treatment and watchful waiting. The development of biomarkers could provide personalized risk assessments and guide treatment strategies for women with breast lumps.
Researchers developed a novel biomarker-based indicator of the Mediterranean diet, which incorporates levels of fatty acids and carotenoids in blood. The study found that those with higher scores had lower risk of developing type 2 diabetes, suggesting a stronger link than self-reported diet adherence.
Researchers have discovered DNA methylation markers in newborn blood that may indicate a higher risk of developing schizophrenia later in life. The study, published in Molecular Psychiatry, used statistical analysis and compared results to adult brain samples to validate findings.
A University of Houston team has discovered new biomarkers for early detection of bladder cancer, including D-dimer and IL-8, which may identify disease progression. The study's findings could lead to a simple urine test as the new standard for bladder cancer diagnosis.
Researchers developed a biomarker signature test to predict which bladder cancer tumors will respond to immunotherapy, potentially improving survival rates. The study identified three types of responsive tumors and two non-responsive ones, providing insights into potential new treatments.
A new Raman probe, 9CN-JCR, has been developed for detecting multiple enzyme activities in heterogeneous biological tissues. The probe exhibits high sensitivity and multiplexing ability, making it a promising tool for cancer diagnosis and research.
A study funded by the NIH found that children with multisystem inflammatory syndrome (MIS-C) have unique biochemical indicators of cell injury and death. The researchers developed a method to distinguish MIS-C from other conditions, which could lead to improved diagnosis and treatment for these patients.
A new study published in PLOS ONE found that a heart injury biomarker, cardiac troponin, can identify low-risk COVID-19 patients who have normal troponin levels, potentially helping doctors send them home safely. The study suggests that elevated troponin levels may not accurately predict individual patient risk of death.
Researchers have identified specific biomarker patterns in blood samples that are unique to severe COVID-19 infection and Multisystem Inflammatory Syndrome in Children (MIS-C) in children. These findings may lead to the development of diagnostic tests to predict severe disease and distinguish MIS-C from other conditions.
A team of FSU chemists has developed a new test for detecting biological markers related to several types of cancer. The sensing platform uses gold nanoparticles and peptides labeled with a dye, emitting light when the enzyme MMP-14 is present, allowing researchers to generate data on cancer marker levels
A new study by Columbia University Mailman School of Public Health finds that water arsenic levels are associated with higher urinary arsenic among the U.S. population, especially in public water supplies in the West and South regions. The researchers found that private well users and those in public water systems have higher urinary a...
Researchers developed an electronic biosensor using DNA aptamers to detect biomarkers in whole blood samples. The biosensor successfully detected clinically relevant levels of a marker protein for cardiovascular disease without further sample preparation.
A retrospective study found that elevated CA 19-9 and CEA levels were associated with worsened outcomes in duodenal adenocarcinoma patients. The study, which included 68 patients, suggests that these tumor markers may show promise as prognostic tools for this rare malignancy.
Acute myeloid leukemia is a cancer that affects blood cells and can lead to infection, anemia, and easy bleeding. The Georgia Cancer Center has received a $2.3 million grant to study how cancer cells resist treatment and propose new options to improve patient survival.
Researchers discovered a misfolded alpha-synuclein protein as a potential biomarker for early detection of Parkinson's disease. The test was accurate in detecting the disease 87% of the time and identifying its absence 96% of the time.
Researchers identified a technique to detect abnormal protein deposits linked to Parkinson's disease, confirming its accuracy for early detection and characterisation. The α-synuclein seed amplification assay (αSyn-SAA) can identify people with Parkinson's disease and at-risk individuals prior to diagnosis.
A simple blood test for ALS has been developed using microRNA analysis, which can accurately identify patients with the disease. The test uses a unique protein called L1CAM to concentrate diagnostic particles from extracellular vesicles in the bloodstream.
Researchers at Karolinska Institutet have discovered that a type of sugar molecule in blood is associated with the level of tau protein, a critical factor in severe dementia. Measuring blood glycan levels can predict Alzheimer's disease risk to 80% accuracy, almost a decade before symptoms appear.
A new study has identified disrupted levels of molecular compounds in maternal blood and cord blood linked to later diagnosis of autism spectrum disorder. The findings shed light on the biological processes that give rise to ASD and could open the door to early diagnosis and treatment.
A study published in Cancer Cell found that prior treatments, such as CTLA-4 blockade, modify the response to anti-PD-1 checkpoint blockade therapy. The research analyzed data from over 500 patients and identified key factors associated with treatment response. This finding may help scientists create more precise future treatments.
Psychiatrists at Indiana University School of Medicine found deaths by suicide increased during the week of a full moon, especially in people over age 55. They also identified 3-4 p.m. and September as peak times for suicides.
Researchers have identified a biomarker signature that can predict which patients with kidney cancer will respond well to immunotherapy. The signature is based on the number of immune cells in and around tumors, the amount of dead cancer tissue, and mutations to a tumor suppressor gene called PBRM1.
Researchers have developed a new method called Nano-tRNAseq to measure both the abundance and modification of tRNA molecules in a single step. This technology has significant advantages over conventional techniques, offering rapid, cost-effective, and high-throughput analysis with single-molecule resolution.
A blood draw can provide valuable information on the effectiveness of peptide receptor radionuclide therapy for neuroendocrine cancer patients. Blood-based biomarkers PPQ and NETest were found to predict PRRT response with 96% and 90% accuracy, respectively. The study opens possibilities for tailoring treatment to individual patients.
A new study published in Neurology shows that younger brain age is associated with superior post-stroke outcomes, suggesting a potential biomarker for stroke rehabilitation. The research team used multi-site data sets and 3D brain structural MRIs to analyze the relationship between brain age and stroke recovery.
Researchers identified potential neurological biomarkers of long COVID-19 in nonhuman primates, which could aid in diagnosis, monitoring, and treatment. The study found elevated proteins associated with neurodegenerative disorders in the brain, cerebrospinal fluid, and blood after SARS-CoV-2 infection.
A recent study identified novel genes that influence PARP inhibitor response in prostate cancer, including MMS22L and RNASEH2B. The research found that loss of CHEK2, a previously approved biomarker, confers resistance to PARP inhibition, highlighting the need for comprehensive genomic analysis to improve treatment decisions.
A study by Johns Hopkins Medicine researchers found that certain biomarkers in urine and blood can predict the risk of developing chronic kidney disease (CKD) in patients with acute kidney injury (AKI). Higher levels of KIM-1, MCP-1, and TNFRI were associated with a increased risk of CKD progression.
A new study identifies several cytokine markers associated with poor prognosis in New-Onset Refractory Status Epilepticus (NORSE) patients. The researchers found that the concentration of these inflammatory proteins was higher in NORSE patients than controls, and their increase was correlated with short-term and long-term neurological ...
Researchers used explainable AI to analyze gut microbiomes for CRC biomarkers, discovering four distinct subgroups with unique bacterial profiles. This approach shows promise for a more personalized microbiome exploration and potential disease subgroup identification.
Seer researchers identified four structurally distinct protein isoforms that were differentially expressed in non-small cell lung cancer patients. These findings suggest that these protein isoforms may play a role in NSCLC disease pathogenesis, potentially leading to the development of new diagnostic markers or therapeutic targets.
Breast tumor microbes vary significantly among women of different ethnicities, with potential implications for personalized care and disease progression. Researchers identified distinct microbial biomarkers associated with genes involved in tumor aggressiveness and immune response.
A new study found that specific biomarkers in blood can predict PTSD likelihood, diagnose disorder, or monitor treatment response. Researchers discovered four biomarkers with significant differences between those with PTSD or sub-threshold PTSD and those with high resilience.
A study of 110,780 participants in the UK Biobank found that individuals with a lifetime history of mental illness had metabolite profiles suggesting they were biologically older than their actual age. This may contribute to shorter lifespans and increased age-related diseases among those with mental health problems.
A new point-of-care testing kit will facilitate early diagnosis and monitoring of Alzheimer's Disease in primary clinics or home settings. The kit detects biomarkers in skin samples, enabling early identification of individuals at greatest risk of dementia.
New research reveals coffee consumption may help reduce the risk of type 2 diabetes by lowering inflammatory biomarkers in the body. A study published in Clinical Nutrition found that a one cup per day increase in coffee consumption was associated with a 4-6% lower risk of T2D.
Researchers identified high expression of glypican-1 in primary solid tumors, correlating with poor prognosis in various cancer types. Suppression of GPC1 attenuated cancer cell proliferation, suggesting its potential as a novel diagnostic tool and target for therapy.
Researchers analysed wastewater from 10 cities to detect chemical and biological markers of health, including pesticides, pharmaceuticals and disease-causing viruses. The study found that analysing wastewater on a large scale could spot new outbreaks of diseases in communities early on.
A recent study found that certain microbial metabolites are associated with liver fat content in individuals with fatty liver disease. The researchers identified degradation products of amino acids and differences in testosterone levels as potential biomarkers.