ArticleArchives of internal medicine research2024
Systemic Lupus Erythematous: Gene Polymorphisms, Epigenetics, Environmental, Hormonal and Nutritional Factors in the Consideration of Personalized Therapy.
Article in Archives of internal medicine research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Stiff Person Syndrome: Bridging Neuroimmunology and Rehabilitation for Improved Patient Outcomes.Archives of internal medicine research · 2026Article
- Genetic Polymorphisms in Systemic Lupus Erythematosus and Their Clinical Implications: A Narrative Review.International journal of molecular sciences · 2026Review
- Nutrition, Gut Microbiota, and Epigenetics in the Modulation of Immune Response and Metabolic Health.Cardiology and cardiovascular medicine · 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
2 authors.
Funding
Abstract
Systemic Lupus Erythematosus (SLE) is a chronic illness that can affect many tissues through the production of autoantibodies. A definite etiology has not been conclusively established, but current research points to the influences which include genetic, hormonal and environmental factors. SLE is difficult to treat due to its multifactorial pathogenesis and heterogeneity in clinical manifestations. Current treatment mainly includes anti-malarial medications, glucocorticoids, and biologics, but many patients still struggle in achieving remission. Additionally, there is no definite cure for SLE as of now, which further emphasizes the need for personalized treatment approaches. We analyzed genetic polymorphisms, DNA methylation, and other environmental, hormonal and nutritional factors in the development of SLE. We considered how such factors affect the processes of the disease pathogenesis and may provide insight on targets for potential personalized therapy. In this article, we criticaly reviewed the literature for compelling evidence connecting SLE and specific genes and epigenetic changes. We also explored environmental triggers such as UV exposure, and hormonal influences on their connection to SLE, working toward understanding the disease's complex nature. A critical evaluation is presented on the use of already accredited biologics in SLE that are beneficial to patients, including anifrolumab and belimumab. The reports on many factors that may influence SLE pathophysiology, along with success with recent biologics/targeted therapies, suggest that precision medicine, tailored to individual genetic and environmental profiles, may hold promise for enhancing remission rates and quality of life for SLE patients. The findings contribute to the field by addressing the need for an integrative approach to SLE treatment and offer more evidence for the potential critical benefit of personalized management strategies that may provide long-term solutions in this challenging and complex disease.
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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.