Peptides DB
Research-centric peptide and protocol reference hub

Research library

Every indexed study on every peptide in the database, with a machine summary and the numbers that matter pulled out. Filter on the left; the register updates as you go.

1885studies indexed841with human data111registered trials1630carry a numeric findingLibrarian added 0 studies today
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Noninvasive assessment of Doppler-derived estimated fetal interatrial pressure-gradient indices using ductus venosus and pulmonary vein velocities in late-onset fetal growth restriction: a prospective case-control study.
DSIP · The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2026 · Observational · n=80
Doppler-derived interatrial pressure-gradient indices show no significant differences in FGR unless severe compromise is present. Pulmonary vein D-wave velocity is reduced in FGR, indicating potential diastolic dysfunction.
Pulmonary vein D-wave velocity was significantly reduced in FGR fetuses (18.20 [IQR 13.43-22.40] vs. 20.90 [IQR 15.97-25.60] cm/s; p=0.021).
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Ginkgo biloba extract 50 alleviates memory and synaptic plasticity deficits by inhibiting neuroinflammation via the blockage of ATP-P2X7R axis in presenilin 1/2 conditional double knockout mice.
DSIP · Journal of ethnopharmacology · 2026 · Animal study · Preclinical
GBE50 shows potential in reducing neuroinflammation and improving cognitive function in a mouse model, but its relevance to human neurodegenerative diseases remains to be established.
Not reported in abstract.
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Olfactory Perception and Neural Rhythms: A Simulation-Based EEG Analysis Using Power Spectral Density FeaturesOlfactory perception and neural rhythms: a simulation-based eeg analysis using power spectral density features.
DSIP · Cognitive neurodynamics · 2026 · n=50
This study presents a simulation-based framework for analyzing olfactory EEG signals, achieving a classification accuracy of 99.67%. However, results are based on simulated data and require validation with real human subjects.
99.67% classification accuracy for distinguishing olfactory conditions.
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