Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
Researchers investigate biomarkers from genome, transcriptome, proteins, and metabolites to help tackle the high mortality rate of pediatric sepsis. The review highlights potential biomarkers, including genomics, transcriptomics, proteomics, and metabolomics.
Researchers mapped changes in tumor-related bacteria to uncover potential strategies to combat the rise of young-onset colorectal cancer. Unique bacterial signatures were found in tumors from younger patients, including Akkermansia and Bacteroides, which are more likely to have left-sided, rectal, and advanced stage tumors.
Researchers developed a molecular predictor of radiation response using cell line data and machine learning-based approaches, capturing a wider range of biological processes. The new gene signature has the potential to aid decision-making, personalize treatments, and improve outcomes for various types of cancers.
A phase II clinical trial found Muse cell-based product CL2020 to be highly tolerated and improved ALS symptoms, but may not halt disease progression. The treatment's efficacy depends on combining it with other drugs for future treatments.
Researchers identified kynurenine as a key biomarker affecting RBC storage quality and efficacy. High levels of kynurenine indicate fragile blood, prone to rupture, while lower levels suggest better storage stability.
Researchers developed a method to track changes in maternal heart rate variability using non-invasive wearable devices. These changes can potentially predict preterm birth, providing a new digital biomarker for early detection.
A multicenter study confirms that up to 50% of ALS patients develop cognitive symptoms, with 35.5% also presenting pathological features of frontotemporal dementia. The study highlights the marked heterogeneity of neuropathological characteristics, suggesting possible different pathophysiological mechanisms.
Researchers found XRCC1 to have both positive and negative correlations with prognosis across different tumors. The study also revealed associations between XRCC1 expression and DNA methylation patterns, TMB, MSI, immune cell infiltration levels, and immune checkpoint gene expression.
A study of over 1.6 million ED visits found that nearly two-thirds of low-risk pulmonary embolism patients were hospitalized, despite evidence suggesting safety in outpatient management. Researchers suggest further investigation into ED triage decisions to improve appropriate use of outpatient care.
Researchers have identified UCHL1, a protein found in highly aggressive neuroendocrine carcinomas and neuroblastoma, as a potential molecular biomarker for diagnosing these cancers and predicting responses to therapy. Targeting UCHL1 with inhibitors has been shown to delay the growth and spread of these tumors in pre-clinical models.
A international academic consortium has identified 13 biomarkers that significantly improve the ability to accurately predict cardiovascular disease risk in people with type 2 diabetes. The standout biomarker was N-terminal pro b-type natriuretic peptide (NT-proBNP), which is currently used to monitor heart failure status in patients.
New biomarkers have been discovered to improve the diagnosis and monitoring of lupus nephritis, a severe manifestation of systemic lupus erythematosus. The study identified six novel urine biomarkers that can detect even low concentrations of proteins in the urine.
Researchers found that the complement system remains activated in Long Covid patients, causing cell damage and tissue destruction. This abnormal activity can lead to thromboinflammation and other symptoms of the condition.
A new study reveals that RNA binding motif protein X-linked (RBMX) plays a crucial role in predicting cancer prognosis and response to immunotherapy. Abnormal expression of RBMX is associated with immune regulation, tumor microenvironment, and therapeutic effects of immune checkpoint inhibitors.
A new study found that stress drives up inflammation in the body, which is linked to metabolic syndrome. Stress management techniques may be a way to improve biological health outcomes. The research suggests that reducing inflammation can help mitigate the connection between stress and metabolic syndrome.
Researchers found that two common biomarkers, global longitudinal strain and N-terminal-pro-B-type natriuretic peptide, can identify asymptomatic childhood cancer survivors at elevated risk of declining heart muscle function. These biomarkers may lead to earlier treatment to prevent further heart damage.
Researchers at UC Davis found that men with FMR1 premutation who experienced reduced executive function were at higher likelihood of developing fragile X-associated tremor/ataxia syndrome. Executive function challenges, particularly working memory and organization issues, were strongly associated with the development of FXTAS.
Researchers unveiled a previously unknown effect of PG545 in ovarian cancer cells, inducing DNA damage and promoting autophagic degradation of RAD51. This breakthrough could aid in selecting the most appropriate treatments for ovarian cancer patients with PARPi resistance.
A combination of 11 proteins can predict long-term disability outcomes in multiple sclerosis, making it possible to tailor treatments to individual patients. The study identified a specific protein, neurofilament light chain, as a reliable biomarker for disease activity.
Researchers developed a novel test that detects single ⍺-synuclein fibrils in patient samples to identify patients with Parkinson's disease earlier. This breakthrough has the potential to create early applicable molecular diagnostics, improve clinical trials, and facilitate drug screening for neurodegenerative diseases.
The £30M ADVANCE study aims to accelerate the development of new therapies for people with liver cirrhosis by identifying translational biomarkers. Researchers will enroll 200 patients with cirrhosis and use advanced techniques to analyze gene expression, blood tests, and MRI scans.
Researchers used OCTA to visualize retinal blood vessel changes in migraine patients during and between attacks. Blood flow decreases were found, with asymmetrical flow correlated to headache pain side.
A new consortium, co-led by Florian Rieder, MD, and Vipul Jairath, MD, will create clinical care pathways toward drug development and improve disease management for patients with Crohn's disease and permanent ileostomy. The EndO-trial Consortium aims to develop effective drugs and measure treatment outcomes using patient-reported outco...
A new study found that COVID-19 infection can lead to persistent brain injury markers in the blood even months after recovery from hospitalization. Patients with neurological complications during the acute phase of the illness showed robust biomarker evidence of ongoing neuroglial injury.
Researchers found that baseline amyloid burden and brain health are stronger predictors of Alzheimer's progression than age alone. The study also showed that individuals with higher amyloid levels developed dementia two years earlier than those without.
A new study by UCL researchers suggests that a vest mapping the heart's electrical activity could help identify people at high risk of sudden cardiac death. The electrocardiographic imaging (ECGI) vest combines signals with MRI images to generate 3D models, potentially predicting risk factors for life-threatening heart rhythms.
Researchers have identified sST2 and suPAR in the blood of dengue patients, which could accurately predict patients at risk of severe dengue. The test kits would improve patient outcomes by distinguishing between non-life-threatening cases and severe dengue, requiring hospitalization.
A study found that the common drug Entresto (sacubitril/valsartan) increases plasma Aβ42 and Aβ40 levels in patients with cardiac failure, making them falsely positive on a debated Alzheimer's blood test. This could lead to misclassification of patients as having Alzheimer's disease.
Scientists at the University of Washington School of Medicine developed a novel protein design approach using AI, creating proteins that bind to challenging biomarkers with exceptionally high affinity and specificity. The breakthrough has implications for drug development, disease diagnosis, and environmental monitoring.
Zarbio and Georgia State University scientists propose a framework for understanding Alzheimer's disease, linking molecular mechanisms, beta-amyloid biomarkers, and diagnosis. The Amyloid Degradation Toxicity Hypothesis resolves long-standing paradoxes in AD research.
Researchers have identified promising treatment candidates for morphine tolerance and cancer, as well as a biomarker for kidney injury. A monoclonal antibody targeting the mu-opioid receptor has been shown to alleviate morphine tolerance and physical dependence, while inducing excessive mitochondrial fission in tumor cells. Additionall...
Researchers at the University of Gothenburg have developed a way to distinguish different types of structural changes in glycan molecules linked to various cancers. The AI-enhanced method uses mass spectrometry to identify patterns in data sets, providing a precise answer to what will change for a specific disease.
A study found that saliva biomarkers sTNFR2 and sIgA can effectively detect pain in people with dementia, providing an alternative to invasive methods. The researchers discovered a decrease in sTNFR2 levels and an increase in sIgA in patients with dementia compared to a control group.
Researchers at UVA Health System created an 'atlas of atherosclerosis' revealing critical processes that form harmful plaque buildup. The study provides unprecedented insights into atherosclerosis and its impact on coronary artery disease, heart attacks, and strokes.
Researchers at the Center for Development of Functional Materials created a sensor to monitor metronidazole levels in organisms and the environment. The sensor, combining magnetic fluorescent nanoparticles, showed good sensitivity and practical advantages, enabling real-time analysis and ease of handling.
Multiple sclerosis affects over 2.8 million worldwide, and EU funding will investigate viral infections like EBV as potential causes and co-factors. The BEHIND-MS consortium aims to develop new cell models to test hypotheses on the disease's development.
Researchers use AI to develop dynamic modeling of brain graphs, capturing dynamics in continuous time for more accurate predictions and personalized treatment of brain diseases. The project aims to track disease development in individual patients and identify biomarkers associated with brain disorders.
Researchers used brain imaging and machine learning to identify distinct patterns of brain connectivity in people with autism spectrum disorder (ASD), taking into account individual differences. The study reveals that certain brain features are shared across subtypes, while others are unique to specific individuals.
Researchers developed a machine learning model that accurately predicted improvements in brain health using neural biomarkers. The study achieved 90% accuracy and confirmed a functional relationship between the BrainHealth Index and neural markers.
A deep learning AI model developed using mammographic images alone accurately predicted both ductal carcinoma in situ (DCIS) and invasive carcinoma, showing no bias across multiple races. The model outperformed traditional risk models in predicting breast cancer risk, providing a more accurate and equitable assessment.
Researchers have developed a device that detects glucose and adenosine monophosphate biomarkers in saliva with high sensitivity, enabling easy at-home health monitoring. The electrochemical aptamer-based biosensor is simple, accurate, and stable, making it suitable for use without laboratory equipment.
A new study identified 60 alcohol-associated circulating metabolites that appear to produce counteractive effects on the risk of heart disease. The findings suggest that moderate alcohol consumption may trigger changes in metabolomic profiles, yielding both beneficial and harmful outcomes.
Researchers uncover intricate interplay between enhancers and silencers influenced by DNA methylation, providing crucial insights into dynamic gene control. High-resolution mapping reveals how genes are controlled and modified, paving the way for precision medicine tailored to individual patients.
Researchers identified a correlation between the HSD3B1 biomarker and resistance to combined hormone therapy and radiotherapy in men with prostate cancer. The study found that high levels of the enzyme led to increased testosterone production, promoting resistance to treatment.
The American Gastroenterological Association released a new guideline recommending the use of biomarkers to help manage Crohn’s disease. Biomarkers such as C-reactive protein and fecal calprotectin can measure levels of inflammation, helping doctors assess disease activity and guide treatment decisions.
Researchers found a modest improvement in predicting pathologic response to chemotherapy using molecular subtypes, but no association with overall survival and progression-free survival. The study suggests the need for subtype-directed therapy trials to test targeted treatments.
Scientists developed a high-throughput method to study oxidized lipids in ALS. Analysis of blood plasma from rats with ALS revealed 17 oxylipin alterations associated with oxidative stress and inflammation. Oxylipins may serve as biomarkers for monitoring disease progression.
Researchers at UMass Lowell found that anti-inflammatory bacteria were less abundant in people with Parkinson's disease, suggesting a potential biomarker for early diagnosis. A new study on Latinos may also uncover novel biomarkers for Alzheimer's disease.
Researchers found overactive inflammation and loss of protective mechanisms in the brains of individuals who died by suicide, supporting further exploration of anti-inflammatory medications. The study suggests that targeting these biological changes could reduce suicide risk.
A study published in The Lancet Neurology found that monitoring brain injury biomarkers and glucose variation over the first week of hospitalization can provide a more accurate picture of the pathological process. This allows for division into different groups with distinct disease trajectories and prognoses, enabling personalized trea...
A comprehensive review study identifies emerging biomarkers that mirror efforts to halt beta-cell autoimmunity, offering potential applications in clinical practice. The study's findings may improve the management of type 1 diabetes during its partial remission phase.
Researchers at Uppsala University have developed an instrument to measure 21 biomarkers for cardiovascular disease, improving prediction and treatment. The CVD-21 panel reflects functional disturbances influencing cardiovascular development and treatment outcomes.
Researchers developed a handheld, wireless biosensor to detect Alzheimer's and Parkinson's biomarkers from saliva and urine samples. The device has shown high accuracy comparable to existing state-of-the-art methods.
Researchers created a blood-based test to detect both diseases, measure viral and bacterial loads, and track treatment progress. The test aims to improve patient outcomes by catching immune reconstitution inflammatory syndrome (IRIS) earlier.
A new study has identified a brain connectivity variate that predicts psychiatric disorders in adolescents. The finding provides evidence for a transdiagnostic brain-based measure underlying individual differences in developing psychiatric disorders in early adolescence.
A new study suggests that analyzing genetic material from nearby healthy tissue may help predict lung cancer's return after treatment. The study analyzed RNA from tumor cells and adjacent, seemingly normal lung tissue and found that the expression of genes associated with inflammation was especially useful for making predictions.
Researchers at UCLA have developed a new method to engineer more powerful immune cells that can potentially be used for 'off-the-shelf' cell therapy to treat challenging cancers. Gamma delta T cells with high expressions of CD16 surface marker exhibited increased ability to recognize and kill cancer cells.
A study of 144 Covid survivors found that women with elevated inflammatory biomarkers during the acute phase were more likely to experience lingering symptoms like fatigue, breathlessness, and sleep disturbance. This research sheds light on a potential link between inflammation and persistent Long Covid symptoms in women.
Researchers found that patients with elevated NfL levels had a 91% higher risk of worsening disability with relapse within a year, and a 49% higher risk without relapse nearly two years later. The study suggests that interventions may prevent worsening symptoms by targeting nerve cell death.
A recent study published in Nature Communications validates MSIntuit CRC, an AI-driven digital pathology diagnostic, as a reliable pre-screening tool for colorectal cancer. The diagnostic accurately rules out nearly 50% of MSS patients while correctly classifying over 96% of MSI patients.