Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
Researchers from prominent institutions discuss hepatocellular carcinoma's pathogenesis, genomic heterogeneity, and targeted therapy options. The review aims to characterize HCC's complexities and develop clinically relevant biomarkers for better management.
Researchers developed a blood test using circulating microparticle proteins to predict placenta accreta spectrum (PAS) cases as early as the second trimester. The study found five unique proteins that can distinguish PAS patients from control patients, enabling safe predication before delivery.
A new study found that measuring activation of immune-system B cells may be better than measuring either T-cell activation or total number of immune cells in and around a tumor. The findings suggest that six signatures of immune cell gene activation from B cells were associated with higher elimination rates and better survival outcomes.
African patients with chronic hepatitis B face limited access to treatment due to inadequate guidelines. Researchers propose lower treatment thresholds and better adapted guidelines for the African population.
A team from Brigham and Women's Hospital developed FIND-seq, a method that isolates and analyzes rare astrocytes driving MS inflammation and neurodegeneration. This approach identified signaling pathways controlling the development of pathogenic astrocytes in mice and humans.
The American Psychiatric Association's January journal issues focus on childhood- and neurodevelopment-related psychiatric disorders. A study published in The American Journal of Psychiatry explores how brain scans predict treatment response to psychotherapy for OCD.
Researchers examined associations between APOE ε2 and ε4 alleles, polygenic profiles, and Alzheimer's disease biomarkers. They found links between ε4 alleles with plasma and CSF Aβ42 and CSF tau, as well as differences in associations with tau and Aβ42.
A 16-year longitudinal study found associations between DNA methylation-based measures and neuropsychologically-validated cognitive decline in midlife. The results suggest that these measures may serve as biomarkers for a molecular aging mechanism, potentially identifying individuals at risk of cognitive impairment and dementia.
A new biomarker test, called BD-tau, can detect Alzheimer's disease neurodegeneration in blood samples with high accuracy. The test outperforms current methods and correlates well with CSF biomarkers, providing a valuable tool for improved diagnosis and clinical trial design.
Researchers found that plasma GH levels are a potential biomarker for predicting treatment outcomes in patients with advanced HCC treated with Atezo/Bev. The study showed significantly superior overall survival and non-significant trend in favor of GH-low patients compared to GH-high patients.
A recent study has identified common and unique cellular processes in six neurodegenerative diseases, providing new insights into the underlying causes of these conditions. The research used machine learning analysis to compare RNA markers in whole blood samples from patients with distinct diseases, revealing eight shared themes across...
Researchers developed a new epigenetic biomarker, GrimAge version 2, which leverages two DNAm-based estimators of plasma proteins to predict mortality risk. The study found that GrimAge 2 outperforms existing clinical biomarkers in predicting mortality across multiple racial/ethnic groups and associations with age-related conditions.
Researchers at Michigan Medicine have developed a new biomarker-based strategy to screen for immune checkpoint inhibitor-induced myocarditis, which can cause muscle damage and liver injury. Early detection of these biomarkers can lead to earlier treatment and improved survival rates.
A recent clinical trial found that walnut consumption reduced stress and depression levels in university students. The study also showed improved metabolic biomarkers and overall sleep quality in the longer term. Walnuts contain nutrients like omega-3 fatty acids, antioxidants, and melatonin, which promote healthy brain and gut function.
The study reveals that SETD1A overexpression is associated with poorer disease-free survival in pancreatic cancer patients. Artificially cultured cells showed increased cell growth and migration when SETD1A levels were overexpressed, while knocking down SETD1A expression led to decreased RUVBL1 gene expression.
Researchers investigate how lung cancers evade the immune system to develop more effective immunotherapy treatments. The study aims to uncover a new way lung cancers disguise themselves from the immune system, potentially leading to improved treatment outcomes.
A new study identifies anti-Müllerian hormone (AMH) as a key factor in regulating cholesterol levels during the menopause transition. High AMH levels are associated with lower HDL-C, or good cholesterol, which may indicate cardiovascular risk despite its traditionally protective effects.
Researchers found that lncRNA MVIH is overexpressed in cervical cancer tumors and associated with younger age, lymph node metastasis, tumor invasion depth, and squamous cell type. This suggests its potential as a diagnostic biomarker for cervical cancer.
A study found that antibodies to common antibiotic gentamicin are associated with an increased risk of progression to type 1 diabetes in children already genetically at risk. The researchers also identified an association between the FUT2 gene and the production of these antibodies, which may be compounding risks for type 1 diabetes.
Researchers from the Leibniz Institute for Food Systems Biology have identified three metabolites as potential biomarkers for individual coffee consumption. These biomarkers could help determine the health value of coffee by objectively verifying coffee consumption levels.
A new analytical method has been developed to map climatic and environmental processes at high temporal resolution, revealing an abrupt intensification of seasonality in the tropical ocean during the last period of global climate change. This provides evidence of how global climate changes affect local, seasonal temperature variations.
Researchers found that P2-HNF4α expression is associated with p-STAT3 and c-Myc expression in NAFLD patients, suggesting potential biomarkers for hepatocellular carcinoma (HCC) risk. Additionally, p-STAT3 expression was linked to hypertension, while c-Myc expression was associated with advanced fibrosis.
A Mount Sinai study found that certain inflammatory markers can predict which patients are more likely to respond to COVID-19 immunotherapies. The researchers identified a subtype of COVID-19 patients with hyperinflammation who could benefit from pacritinib, an anti-cancer drug.
Researchers found that a one-year increase in retinal age was associated with a 10% higher risk of incident kidney failure over 11 years. Retinal age gap, a non-invasive biomarker based on retinal imaging, may help identify people at elevated risk for kidney failure.
Scientists have developed an AI method to pinpoint cells indicative of Alzheimer's disease based on DNA packing in mouse brain images, offering a potential early detection tool. This approach combines multi-scale imaging with artificial intelligence to identify biomarkers for aging-related diseases.
Researchers at Klick Applied Sciences have created a machine learning model to predict diabetes onset in patients using just 12 hours of data from continuous glucose monitors. The study showed high accuracy in identifying prediabetes, healthy patients, and those with Type 2 diabetes, offering a potential tool for early disease prevention.
Scientists used AI-driven PandaOmics platform to analyze gene expression datasets from DNA repair diseases, identifying biomarkers associated with treatment response. The study focused on genes that stratify cancer patients by survival outcomes, providing potential targets for personalized therapies.
Researchers discovered three essential amino acids - leucine, valine, and tryptophan - as potential metabolic biomarkers for HCC. The study used metabolomics to analyze the differences in tumor and non-tumor tissue metabolomes, revealing striking differences that could aid in diagnosis.
Researchers have identified optimal blood tests to detect Alzheimer's disease at its earliest stages. The study found that phospho-tau217 is a reliable marker for monitoring disease progression and selecting individuals for novel trials.
Researchers found shared genetic factors that contribute to severe COVID-19 risk and blood analyte levels. High triglyceride levels were strongly linked to increased risk of severe disease, supporting the use of lipid-lowering drugs against severe COVID-19.
A team of scientists has identified three new biomarkers for detecting the consumption of emerging synthetic cannabinoids like OXIZID. These biomarkers will facilitate work by drug enforcement agencies worldwide in monitoring OXIZID abuse, enabling more accurate identification of abusers and potentially preventing overdoses.
Researchers identified formic acid as a sensitive urinary biomarker for early-stage Alzheimer's disease, which could lead to large-scale screening programs. The study found that formic acid levels correlate with cognitive decline and can predict disease stage when combined with blood-based biomarkers.
Researchers at University of Chicago Medical Center have identified biomarker predicting response to combined RT and ICB treatment in mNSCLC. High tumor aneuploidy associated with improved survival when RT is added to ICB, while low aneuploidy shows no survival benefit.
Researchers at ETH Zurich have identified 76 proteins that could serve as biomarkers for Parkinson's disease, with their molecular structures differing between healthy and diseased individuals. The study uses a unique method to analyze protein shapes in cerebrospinal fluid, providing a promising new approach for diagnosis and potential...
A new biomarker has been identified with up to 89% accuracy for corticobasal degeneration, a primary tauopathy. The discovery could accelerate progress toward therapies for this rare brain disease, which is often misdiagnosed due to similar symptoms.
Researchers at VHIO have established a unique collection of metastatic cholangiocarcinoma patient-derived xenografts to help prioritize potential clinical trials and deliver precision patient care. The models have identified mutations in genes such as BRCA2, which could serve as a biomarker for response to PARP inhibitors.
Researchers found that individuals with persistent asthma have higher levels of inflammation and artery plaque, which may increase heart attack or stroke risk. The study also highlights the importance of addressing risk factors for cardiovascular disease in people with persistent asthma.
A new study has identified brain markers of attention-deficit/hyperactivity disorder (ADHD) in children using MRI data. The researchers found changes in almost all regions of the brain, including abnormal connectivity, a thinning of the brain cortex, and significant white matter microstructural changes.
Research findings suggest that skewed X chromosome inactivation may indicate increased risk of developing chronic diseases, including cardiovascular disease and cancer. XCI-skew is a measure of how many cells in a tissue inactivate the same parental X chromosome.
Researchers found reduced levels of D-amino acids in patients with severe COVID-19 and IAV infection, suggesting they could be used as biomarkers. Supplementation with D-alanine improved survival rates and clinical outcomes in mouse models of both infections.
Researchers found that specific immune-related proteins, such as CCL21, FLT3L, and IL-13, can differentiate between neurodegenerative diseases like CTE, AD, PSP, CBD, and AGD. The study's results highlight the importance of the immune system in neurodegenerative diseases and provide novel potential biomarkers for diagnosis.
A new potential biomarker for severe COVID-19 has been identified by researchers at Karolinska Institutet in Sweden. Elevated levels of the cytokine IL-26 are linked to increased inflammation and tissue damage in patients with acute COVID-19.
Researchers at Michigan Medicine found a strong association between lower grip strength and accelerated biological aging in middle-aged and older adults. This study provides evidence that maintaining muscle strength across the lifespan may help protect against age-related diseases.
A Cedars-Sinai study found that a specific protein imbalance can predict the risk of developing severe preeclampsia. The blood test measures the ratio between two proteins involved in blood vessel development, which accurately predicted preterm preeclampsia with severe features over 90% of the time.
A retrospective study found that tumor hyaluronan levels are associated with improved time to progression in non-small cell lung cancer patients. HA-high tumors showed a trend towards improved clinical benefit, suggesting its potential as a prognostic biomarker and therapeutic target.
Researchers have identified a new biomarker, p-tau198, that could help diagnose Alzheimer's disease earlier than current tests. This biomarker shows promise in distinguishing AD from other neurodegenerative diseases and mild cognitive impairment.
Researchers have identified a parasitic protein unique to hypnozoites, which could serve as a potential biomarker of latent malaria vivax infections. The findings lay the groundwork for eliminating the disease by detecting its presence.
A novel insulin-like peptide hormone, INSL3, remains consistent throughout a man's life, making it a reliable predictive biomarker for age-linked disease. High levels of INSL3 in young men correlate with a range of age-related illnesses, while low levels increase the risk of acquiring these diseases.
A study using mRNA and miRNA expression profiles identified molecular signatures that can differentiate muscle invasive bladder cancer patients who respond to neoadjuvant chemotherapy from those who do not. The research found distinct gene pathways and subtypes associated with response, which may lead to more effective treatment delivery.
A study by Brigham and Women's Hospital found that specific immune system biomarkers are linked to the acquisition of both HIV and genital herpes. The researchers identified unique predictors for each disease, providing new targets for preventive treatments.
A higher urine-to-plasma urea ratio is associated with faster decline in eGFR and development of kidney failure in patients with common forms of CKD. This biomarker may improve risk prediction, particularly in low-cost, easily measurable assays.
A recent study found that microRNA-145 can identify breast cancer patients at lower risk of recurrence and those who may need additional therapy. The biomarker was measured in patients' blood samples during chemotherapy and predicted long-term oncological outcomes.
A study published in the Journal of Alzheimer's Disease found that analyzing patients' drawing tests can help diagnose Alzheimer's disease (AD) and distinguish it from dementia with Lewy bodies (DLB). The researchers discovered that DLB patients showed differences in speed-, pressure-, and pause-related features, whereas AD patients sh...
A new metric estimates cumulative exposure to PFAS chemicals, enabling comparisons across studies and applications. The calculator takes into account patterns of exposure to multiple chemicals, providing a robust tool for biomonitoring and disease assessment.
Researchers at the University of Cincinnati are awarded a $3.5 million NIH grant to examine how alcohol use alone or in combination with fentanyl affects HIV medications, including PrEP medication. The study aims to determine metabolite signatures and pharmacological biomarkers of PrEP in HIV-negative populations.
Researchers from Brigham and Women's Hospital found that circulating tumor HPV DNA levels are linked to lymph node presence, making the test less effective for screening. This limits the use of ctHPV DNA testing for early diagnosis and treatment of oropharynx cancer.
Researchers at Penn State aim to create a minimally invasive system using machine learning and multimodal biosensing platforms to detect Alzheimer's disease in its early stages. The system has the potential to improve detection accuracy and reduce false positives.
Two studies found that cigarette smoke and e-cigarette vapor have similar cardiovascular effects due to airway irritation. This irritation can lead to vascular damage and impaired blood vessel function. The research suggests that dual product use may be worse than single product use, highlighting the need for stricter regulations.
Two NIH-funded studies show long-term e-cigarette use can impair blood vessel function, increasing the risk for cardiovascular disease. The findings also suggest combining e-cigs with tobacco may increase health risks compared to using them individually.
A recent study published in BME Frontiers developed an AI-based approach that rapidly transforms autofluorescence images into virtual histological images for accurate HER2 assessment. This computational staining process takes only a few minutes per sample and does not require expensive facilities or toxic chemicals.