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Pupil response predicts depression risk in kids

Children of depressed mothers who show increased pupil dilation to sad faces are at higher risk of developing depressive symptoms and diagnoses over two years. The study suggests pupillometry could be used as a low-cost tool for pediatricians to identify children at highest risk.

SourceBinghamton University·JournalJournal of Abnormal Psychology·DateJul 7, 2015

A fuse of cardiovascular diseases

Researchers at Hiroshima University found a correlation between telomere G-tail length and endothelial dysfunction, as well as stroke and dementia, in patients with chronic cerebrovascular disease. The study suggests that telomere G-tail length may be a useful biomarker for predicting cardiovascular risk.

SourceHiroshima University·JournalEBioMedicine·DateJun 22, 2015

Social networking against cancer

Researchers used social network analysis to identify cancer biomarkers in patient genomic microarray data, dramatically decreasing the number of features to analyze. The approach has been successfully demonstrated for three types of cancer: lymphoma, colon cancer, and leukemia.

SourceInderscience Publishers·JournalInternational Journal of Data Mining and Bioinformatics·DateJun 4, 2015

Eukaryotes: A new timetable of evolution

The discovery of microfossils in rocks dating back 1.5 billion years has confirmed the existence of eukaryotes, shedding light on their evolution and origins. The analysis of steroid molecules revealed no signs of contamination, contradicting previous findings.

SourceMax-Planck-Gesellschaft·JournalProceedings of the National Academy of Sciences·DateJun 3, 2015

Researchers find promising new biomarkers for concussion

Researchers at Brown University have identified four blood proteins that can accurately signal mild traumatic brain injury within hours after a concussion. These biomarkers, which include copeptin, galectin 3, matrix metalloproteinase 9, and occludin, show significant changes in the bloodstream of patients shortly after a concussion.

SourceBrown University·JournalJournal of Neurotrauma·DateMar 25, 2015

Intestinal gas could be used to diagnose diseases

Researchers propose two novel gas-sensing systems to measure intestinal gases, which may contribute to gastrointestinal diseases. These non-invasive methods could provide medical devices that reduce medical costs and improve healthcare system efficiency.

SourceCell Press·JournalTrends in Biotechnology·DateMar 12, 2015

Immune biomarkers help predict early death, complications in HIV patients with TB

Researchers identified key immune biomarkers that can help distinguish between HIV patients who experience life-threatening complications and those who fare well on treatment. The findings suggest that personalized approaches may be necessary for these patients, as a one-size-fits-all approach could worsen outcomes.

SourceUniversity of Pennsylvania School of Medicine·JournalThe Lancet Infectious Diseases·DateFeb 9, 2015

Pitt study links biomarkers to long-term kidney damage and death in critically ill

A Pitt study links biomarkers to long-term kidney damage and death in critically ill, highlighting the importance of early intervention. Researchers found that tissue inhibitor metalloproteinase-2 (TIMP-2) and IGF-binding protein-7 (IGFBP7) can identify patients at increased risk for adverse outcomes.

SourceUniversity of Pittsburgh Schools of the Health Sciences·JournalJournal of the American Society of Nephrology·DateJan 14, 2015

Researchers discover gene that can predict aggressive prostate cancer at diagnosis

Researchers at MD Anderson Cancer Center identified a genetic variant near the KLK3 gene that can predict aggressive prostate cancer in GS7 patients. The study found a single nucleotide polymorphism (SNP) on the KLK3 gene associated with disease aggression, providing potential biomarkers for personalized treatment.

SourceUniversity of Texas M. D. Anderson Cancer Center·JournalClinical Cancer Research·DateOct 2, 2014

Graphene sensor tracks down cancer biomarkers

A graphene biosensor has been developed to detect cancer risk biomarkers, such as 8-hydroxydeoxyguanosine (8-OHdG), with high sensitivity and speed. The sensor is capable of detecting concentrations as low as 0.1 ng mL-1, outperforming conventional detection methods.

SourceIOP Publishing·Journal2D Materials·DateSep 19, 2014