Background: More than 95% of cervical cancers and their precancerous lesions are caused by human papillomavirus (HPV). Cell-free (cf) HPV DNA detection in blood samples may serve as a monitoring tool for cervical cancer.
Methods: In our methodological study, an HPV panel for simultaneous detection of 24 types using mass spectrometry-based analysis was developed for liquid biopsy approaches and tested on HPV positive cell lines, plasmid controls, and cervical high-grade squamous intraepithelial lesions (HSIL) in positive smear samples (n = 52).
Opioid-dependent patients are highly sensitized to negative social feedback, and increased social rejection sensitivity was linked to adverse treatment outcome, but its neurobiological underpinnings have not been understood yet. The present study investigated gray matter (GM) volume differences between 19 opioid maintenance treatment (OMT) patients and 20 healthy controls using magnetic resonance imaging and voxel-based morphometry. Associations of GM volumes with subjective feelings of exclusion and inclusion during a social ostracism (Cyberball) paradigm, with rejection sensitivity, social interaction anxiety and social phobia were explored.
View Article and Find Full Text PDFOpioids interact with systems processing pain and social stimuli. Both systems are crucial for responding to strains of everyday life and both are linked to relapse risk in opioid-dependent patients. The investigation of those systems seems essential to better understand opioid addiction as a whole.
View Article and Find Full Text PDFBackground: In obese individuals impaired sleep and neuroendocrine alterations such as melatonin deficits are associated with circadian rhythm disruption, altered circadian clock gene expression, and bright light at night. While the relation of pineal gland volume (PGV) and melatonin levels has recently been documented in humans, surprisingly little is known about the possible interference of the PGV and the pathophysiology of obesity in humans.
Subjects And Methods: We therefore compared the PGV of obese with non-obese individuals; both groups were matched by age and gender.