ReviewExpert opinion on investigational drugs2016
Drugs in early clinical development for Systemic Lupus Erythematosus.
Review in Expert opinion on investigational drugs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 14 citations in OpenAlex.
- Decoding Lupus Diagnosis, Pathogenesis and Therapy: From Systemic Autoimmunity to Renal Damage.Diagnostics (Basel, Switzerland) · 2026Review
- Involvement of nucleic acid-sensing toll-like receptors in human diseases and their controlling mechanisms.Journal of biomedical science · 2025Review
- The application potential of iMSCs and iMSC-EVs in diseases.Frontiers in bioengineering and biotechnology · 2024Review
- Type I interferon in the pathogenesis of systemic lupus erythematosus.Current opinion in immunology · 2020Review
- Type I interferon in rheumatic diseases.Nature reviews. Rheumatology · 2018Review
- Defining biological subsets in systemic lupus erythematosus: progress toward personalized therapy.Pharmaceutical medicine · 2017Article
- Spotlight on blisibimod and its potential in the treatment of systemic lupus erythematosus: evidence to date.Drug design, development and therapy · 2017Review
- Identification of biomarkers of response to abatacept in patients with SLE using deconvolution of whole blood transcriptomic data from a phase IIb clinical trial.Lupus science & medicine · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
introductionWhile immunosuppressive therapy has positively impacted the prognosis of systemic lupus erythematosus (SLE), many patients still do not respond to traditional therapy. Thus, active SLE disease remains a significant problem. Furthermore, conventional immunosuppressive treatments for SLE are associated a high risk of side effects. These issues call for improvement in our current therapeutic armamentarium. AREAS COVERED: In this review, the authors highlight the recent developments in therapies for SLE, and present an overview of drugs which are in early clinical development for SLE. There are many new therapeutic approaches being developed, including those focused on B-cell targets, T-cell downregulation, co-stimulatory blockade, anti-cytokine agents, and kinase inhibition, and Toll-like receptor inhibition. They also discuss peptide therapy as a potential method to re-establish immune tolerance, and some of the challenges ahead in developing and testing novel agents for SLE. EXPERT OPINION: Many novel agents are currently in development for SLE, but this encouraging news is tempered by several disappointments in clinical trials and provides a timely moment to reflect on the future of therapeutic development in SLE. It seems likely that biological heterogeneity between patients is a major contributor to difficulty in drug design in SLE.
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.