ArticleThe FEBS journal2019
Creation of RANKL mutants with low affinity for decoy receptor OPG and their potential anti-fibrosis activity.
Article in The FEBS journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 13 citations in OpenAlex.
- Hederagenin promotes SIRT6 to attenuate epidural scar formation by aggravating PRMT1 deacetylation.Bone & joint research · 2025Article
- Advanced mutant receptor activator of nuclear factor kappa-Β ligand development with low affinity for osteoprotegerin.Clinical and translational medicine · 2025Article
- TNF superfamily control of tissue remodeling and fibrosis.Frontiers in immunology · 2023Review
- Delayed denervation-induced muscle atrophy inFrontiers in physiology · 2023Article
- Proteomic biomarkers of progressive fibrosing interstitial lung disease: a multicentre cohort analysis.The Lancet. Respiratory medicine · 2022Article
- Receptor Specificity Engineering of TNF Superfamily Ligands.Pharmaceutics · 2022Review
- RANKL confers protection against cell death in precision-cut lung slices.Frontiers in physiology · 2022Article
- Substrate stiffness engineered to replicate disease conditions influence senescence and fibrotic responses in primary lung fibroblasts.Frontiers in pharmacology · 2022Article
- Roles of Histone Acetylation Modifiers and Other Epigenetic Regulators in Vascular Calcification.International journal of molecular sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Fibrosis is characterized by the progressive alteration of the tissue structure due to the excessive production of extracellular matrix (ECM). The signaling system encompassing Receptor Activator of Nuclear factor NF-κB Ligand (RANKL)/RANK/Osteoprotegerin (OPG) was discovered to play an important role in the regulation of ECM formation and degradation in bone tissue. However, whether and how this signaling pathway plays a role in liver or pulmonary ECM degradation is unclear up to now. Interestingly, increased decoy receptor OPG levels are found in fibrotic tissues. We hypothesize that RANKL can stimulate RANK on macrophages and initiate the process of ECM degradation. This process may be inhibited by highly expressed OPG in fibrotic conditions. In this case, RANKL mutants that can bind to RANK without binding to OPG might become promising therapeutic candidates. In this study, we built a structure-based library containing 44 RANKL mutants and found that the Q236 residue of RANKL is important for OPG binding. We show that RANKL_Q236D can activate RAW cells to initiate the process of ECM degradation and is able to escape from the obstruction by exogenous OPG. We propose that the generation of RANKL mutants with reduced affinity for OPG is a promising strategy for the exploration of new therapeutics against fibrosis.
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.