Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
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.
Using neuroimaging techniques and multivariate statistical models, researchers found that people with older-than-chronological-age brains are more likely to experience deteriorating conditions and early death. Combining brain-predicted age with DNA-related epigenetic biomarkers improves mortality predictions.
Researchers are developing new CT and MRI scan techniques to identify early signs of drug-induced liver and lung disease, potentially saving time and money. The TRISTAN project will use imaging biomarkers to develop predictive models for safer drug development.
Researchers at Brigham Young University have developed a lab on a chip that can predict preterm births with up to 90% accuracy. The device takes a finger-prick's worth of blood and measures biomarkers associated with preterm birth, providing an early warning system for doctors.
Researchers identified urinary biomarkers that distinguish between children with Down syndrome who have and don't have obstructive sleep apnea. The study found significant differences in biomarker signatures between all participants with Down syndrome and typically developing children, regardless of OSA presence or absence.
A new study examines how well biobank donor families understand the risk and implications of a potential confidentiality breach. Families who donate tissue are often willing to trade access to research results for absolute confidentiality.
Researchers discuss the challenges of understanding genomic data, including incidental findings and false-positive results. The authors highlight the need for informed patient preferences, risk assessment, and knowledge of compensating variants to navigate these complexities.
Scientists at Ruhr-University Bochum have established a new process for identifying biomarkers in cancer diagnosis, utilizing infrared spectroscopy. The method enables precise analysis of protein changes in tumor tissue, facilitating personalized therapy.
High-intensity physical activity for as little as 10 minutes a day may benefit young people with large waist measurements and elevated insulin levels. The study found that vigorous exercise was associated with reduced waist circumference and insulin levels, but had inconsistent effects on other biomarkers.
Researchers propose a new approach to treating Parkinson's disease by identifying specific symptoms and molecular features of individual patients. By developing biomarkers and tailoring therapies to distinct patient subtypes, scientists aim to improve treatment outcomes and potentially slow or cure the disease.
Researchers identified molecules as potential biomarkers for early detection of type 2 diabetes, up to nine years before diagnosis. SIB's role in IMIDIA project demonstrates its unique value and capabilities as a competence center in large-scale health-data projects.
The Critical Path Institute has launched a consortium to qualify islet autoimmunity antibodies as prognostic biomarkers for Type 1 Diabetes (T1D) research. The goal is to identify individuals at risk of disease progression and develop interventions to prevent or delay the onset of symptomatic T1D.
A study of 18 ACL patients found that higher levels of collagen breakdown at the time of surgery correlate with worse outcomes two years after. This suggests that initial biochemical changes after injury may have a lasting impact on osteoarthritis development.
Researchers at TGen have created the largest dataset to date of extracellular small RNAs, potential biomarkers for diagnosing medical conditions like concussions. The dataset was amassed from ASU student-athletes' biofluids and helmet sensor data, aiming to develop new diagnostic and therapeutic tools.
Researchers are developing new biomarkers to identify high-risk blood clots in cancer patients, with the goal of increasing survival rates. The study will analyze blood samples from underrepresented populations to standardize and validate existing biomarkers.
A study by Arizona State University and Mayo Clinic identified several unique biomarkers, called autoantibodies, that can accurately diagnose Crohn's disease. The discovery has the potential to provide early warning for those at risk of major illnesses, including cancer, autism, and diabetes.
Researchers have created a pioneering nanobiodevice that can isolate cancer biomarkers quickly with high resolution. The device separates microRNA from DNA/RNA mixtures in under 100ms, promising faster and more reliable isolation of microRNA for cancer detection.
A new biomarker called methylthioadenosine (MTA) has been identified as a predictor of death in sepsis patients. Measuring MTA levels can be approximately 80% accurate in predicting patient outcomes, similar to the APACHE II score.
A team of researchers has developed a new technique to identify cancer-causing substances in the urine or blood using an integrated centrifugal microfluidic platform. The device, called Exodisc, can isolate extracellular vesicles from urine within 30 minutes and detect biomarkers for bladder cancer.
Researchers will measure circulating biomarkers in over 17,000 persons enrolled in the Framingham Heart Study to identify new biomarkers for cerebral small vessel disease. The goal is to develop a gold standard for early detection and intervention with treatment.
Adding two blood-borne proteins, TFPI and tenascin C, to the current biomarker CA-19-9 improves the detection of early-stage pancreatic cancer in three cohorts. The combination shows higher predictive value than the individual biomarkers.
Researchers found that an initial diagnosis of acute kidney injury may have been inaccurate for many patients, as the current method of assessing kidney function may be misleading during the initial evaluation. The study identified sets of biomarkers in mouse models that could potentially detect kidney damage more reliably.
Researchers have identified early biomarkers of Huntington's disease in a five-year-old HD sheep, revealing metabolic changes prior to physical symptoms. These findings suggest that the disease affects important bodily processes before they become apparent, and could lead to the development of new treatments.
A new study finds that high levels of a biomarker called nuclear KIFC1 are linked to poor prognosis in African-American patients with triple-negative breast cancer. In contrast, the same biomarker does not affect disease outcomes in white patients, highlighting racial disparities in breast cancer treatment.
A Saint Louis University researcher is using a $363,000 grant to test two molecules as potential biomarkers for four debilitating health conditions: chemotherapy-induced peripheral neuropathy, endometriosis, interstitial cystitis, and vulvodynia. The goal is to develop new painkillers that target these pathways.
Scientists analyzed microRNAs from Ötzi's skin, stomach, and stomach contents to determine their stability over time. They found some molecules were present predominantly in ancient tissues, while others were not detectable.
Researchers found that elevated levels of GFAP and UCH-L1 in patients with acute orthopedic injuries did not distinguish between those with and without mild traumatic brain injury. This study highlights the need for caution when using these biomarkers, as false-positive diagnoses could lead to unnecessary imaging.
A Harvard study found that heavy lifting and non-daytime work schedules can decrease fertility in women, especially those who are overweight or over 37. The researchers measured biomarkers of fecundity in nearly 500 women seeking infertility treatment, revealing an inverse association between physical demands and egg yields.
Researchers at Kumamoto University have developed highly sensitive gas sensors for detecting volatile organic compounds, with the ability to detect biomarkers in the parts-per-billion range. The sensors use anisotropically shaped SnO2 nanocrystals with precise control over particle size and pore distribution.
Perena Gouma's invention uses semiconductor sensors to detect the flu virus in a patient's breath, potentially leading to earlier diagnosis and treatment. The handheld device has far-reaching implications for public health and may help prevent flu epidemics from spreading.
Researchers found that even modest levels of physical activity decreased insulin resistance and biomarkers of inflammation, while sedentary time increased levels of satiety-related chemicals in the blood. The study suggests that physical activity and inactivity may operate through different pathways to modulate disease risk.
Researchers developed an acoustofluidic chip to concentrate fluorescently labeled biomarkers using ultrasound, enabling the detection of smaller particles and boost their signal. The technique shows promise for point-of-care diagnostic applications, including the potential analysis via smartphone apps.
A new study found that serum microRNAs are associated with MRI measures of multiple sclerosis severity, suggesting they could serve as biomarkers. The research identified distinct microRNA sets linked to lesions and atrophy, which may help identify underlying disease processes and guide therapeutic decisions.
Research from Ohio State University Wexner Medical Center finds depression in pregnancy associated with lower BDNF levels, which also predict low birth weight. The study suggests that increasing BDNF through exercise may be a beneficial way to address the issue.
Researchers at Boston University have discovered patterns of biomarkers that predict how well people age and their risk for future age-related diseases. The study, led by Paola Sebastiani and Thomas Perls, used data from over 5,000 participants to identify 26 different predictive biomarker signatures.