ArticleJournal of neuroendocrinology2025
Proteomic analysis of plasma proteins during fentanyl withdrawal in ovariectomized female rats with and without estradiol.
Article in Journal of neuroendocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A GWAS Meta-meta-analysis and In-depth Silico Pharmacogenomic Investigations in Identification of APOE and Other Genes Associated with Pain, Anti-inflammatory, and Immunomodulating Agents in Opioid Use Disorder (OUD) Derived from 14.91 M Subjects.Cellular and molecular neurobiology · 2025Pooled it
- Proteomic analysis of plasma proteins during fentanyl withdrawal in ovariectomized female rats with and without estradiol.Journal of neuroendocrinology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Evidence from both clinical and preclinical studies indicates that females experience a faster progression to drug addiction and more severe addiction-related health effects compared with males. Estradiol (E2) plays a critical role in these sex differences. Recently, we demonstrated that E2 significantly exacerbates adverse health effects, such as respiratory distress and weight loss, in ovariectomized (OVX) female rats during withdrawal from extended-access fentanyl self-administration. To uncover the mechanisms behind E2-enhanced toxicity, we investigated proteomic changes in the plasma of fentanyl-withdrawn OVX rats under both E2 and non-E2 presentation conditions.Plasma samples were collected following extended-access fentanyl self-administration during protracted withdrawal, when adverse health effects were most pronounced. Using liquid chromatography coupled with electrospray ionization tandem mass spectrometry (LC-ESI MS/MS) we conducted proteomic analysis in OVX rats comparing the effect of fentanyl withdrawal, with or without E2, to drug-naïve control rats.We found a significant effect of fentanyl withdrawal on plasma proteomes within OVX rats. Fentanyl withdrawal was associated with a significant change in 15 plasma proteins including B-factor, properdin (Cfb), apolipoprotein E (ApoE), complement 4, precursor (C4), C-reactive protein (Crp), zinc-alpha-2-glycoprotein precursor (Azgp1), and serine peptidase inhibitor 3L (Serinpa3l). The addition of E2 was associated with enhanced proteomic changes. Bioinformatic gene ontology enrichment analysis indicates that fentanyl withdrawal can disrupt the expression of proteins associated with immunity, lipid transport, and components of the extracellular matrix. We identify protein changes in plasma that may contribute to adverse health outcomes in females, with and without E2, during fentanyl withdrawal. These findings support the development of targeted strategies addressing health risks during opioid use disorder in women.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.