Results 91 to 100 of about 1,069,344 (328)

Machine-learning Analysis of Opioid Use Disorder Informed by MOR, DOR, KOR, NOR and ZOR-Based Interactome Networks [PDF]

open access: yesarXiv, 2023
Opioid use disorder (OUD) continuously poses major public health challenges and social implications worldwide with dramatic rise of opioid dependence leading to potential abuse. Despite that a few pharmacological agents have been approved for OUD treatment, the efficacy of said agents for OUD requires further improvement in order to provide safer and ...
arxiv  

Regulation of the Estrous Cycle by Neutrophils via Opioid Peptides

open access: yesJournal of Immunology, 2011
We found previously that neutrophil-depleted mice exhibited significant blockading of both the regular estrous cycle and cyclic changes of steroid hormone levels. In this study, we aimed at elucidation of the underlying mechanism.
Soichiro Sasaki   +3 more
semanticscholar   +1 more source

New cardiovascular biomarkers in patients with advanced cancer – A prospective study comparing MR‐proADM, MR‐proANP, copeptin, high‐sensitivity troponin T and NT‐proBNP

open access: yesEuropean Journal of Heart Failure, EarlyView.
(A) Univariable receiver operating characteristic (ROC) curves for all biomarkers. (B) Kaplan–Meier curves for best cut‐point of mid‐regional pro‐adrenomedullin (MR‐proADM) for survival (n = 442). AUC, area under the curve; CI, confidence interval; HR, hazard ratio; hsTnT, high‐sensitivity troponin T; MR‐proANP, mid‐regional pro‐atrial natriuretic ...
Markus S. Anker   +18 more
wiley   +1 more source

Molecular and cellular mechanisms of the age-dependency of opioid analgesia and tolerance

open access: yesMolecular Pain, 2012
The age-dependency of opioid analgesia and tolerance has been noticed in both clinical observation and laboratory studies. Evidence shows that many molecular and cellular events that play essential roles in opioid analgesia and tolerance are actually age-
Zhao Jing   +4 more
doaj   +1 more source

Structure and dynamics of dynorphin peptide and its receptor [PDF]

open access: yesarXiv, 2019
Dynorphin is a neuropeptide involved in pain, addiction and mood regulation. It exerts its activity by binding to the kappa opioid receptor (KOP) which belongs to the large family of G-protein coupled receptors. The dynorphin peptide was discovered in 1975, while its receptor was cloned in 1993.
arxiv  

Current and novel biomarkers in cardiogenic shock

open access: yesEuropean Journal of Heart Failure, EarlyView.
A summary of current and novel biomarkers and their potential stages of release in cardiogenic shock. The diagram illustrates the proposed release of the biomarkers during the different stages of cardiogenic shock: progression from cardiac dysfunction/stress, through to inflammation and end‐organ dysfunction.
Victor Galusko   +5 more
wiley   +1 more source

Pharmacological Preconditioning: Role of Opioid Peptides

open access: yesОбщая реаниматология, 2012
The review deals with the mechanisms of action of opioids and the synthetic analogue of endogenous leuenkephaline dalargin. It discusses the relation of delta-opioid receptors to the phenomenon of pharmacological preconditioning that may explain the ...
V. V. Likhvantsev   +5 more
doaj   +1 more source

Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders [PDF]

open access: yesarXiv, 2018
The opioid epidemic in the United States claims over 40,000 lives per year, and it is estimated that well over two million Americans have an opioid use disorder. Over-prescription and misuse of prescription opioids play an important role in the epidemic.
arxiv  

A Comprehensive Review on Capillary Electrophoresis–Mass Spectrometry in Advancing Biomolecular Research

open access: yesELECTROPHORESIS, EarlyView.
ABSTRACT This review provides an in‐depth exploration of capillary electrophoresis–mass spectrometry (CE–MS) in biomolecular research from 2020 to 2024. CE–MS emerges as a versatile and powerful tool due to its numerous advantages, facilitating the analysis of various biomolecules, including proteins, peptides, oligonucleotides, and other metabolites ...
Laura Pont   +2 more
wiley   +1 more source

Learning Protein Dynamics with Metastable Switching Systems [PDF]

open access: yesarXiv, 2016
We introduce a machine learning approach for extracting fine-grained representations of protein evolution from molecular dynamics datasets. Metastable switching linear dynamical systems extend standard switching models with a physically-inspired stability constraint.
arxiv  

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