Selective Glucocorticoid Receptor Modulators (SEGRAMs): Can They Improve the Therapeutic Index of Steroid Therapy?

IF 2.5 4区 医学 Q1 Medicine
Michał Pruc, Basar Cander, Iwona Jannasz, Zbigniew Siudak, Konrad Kubiński, Karol Momot, Artur Mamcarz, Queran Lin, Łukasz Szarpak
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Abstract

Glucocorticoids remain indispensable anti-inflammatory drugs across a wide range of inflammatory and immune-mediated diseases, but their long-term use is limited by cumulative toxicity. Attempts to develop safer steroids gave rise to selective glucocorticoid receptor agonists and modulators (SEGRAMs), initially based on the premise that anti-inflammatory efficacy might be preserved while signaling linked to adverse effects was reduced. Current glucocorticoid receptor biology no longer supports such a simple binary model. Glucocorticoid receptor output is shaped by ligand-induced conformation, DNA sequence, chromatin accessibility, cofactor recruitment, and cell-specific transcriptional context, making selective modulation a context-dependent pharmacologic phenomenon rather than a fixed molecular property. In this clinically oriented narrative review, we reassess the SEGRAMs concept from receptor biology to translational and early clinical evidence, with explicit distinction between mechanistic dissociation, translational separation of efficacy from selected toxicities, and clinically meaningful improvement in the therapeutic index. Representative compounds have shown that selective glucocorticoid receptor modulation is pharmacologically feasible and, in some settings, may separate anti-inflammatory activity from selected steroid-related liabilities. However, the available evidence also indicates that any potential advantage is disease-specific, toxicity-specific, and exposure-dependent, and that mechanistic dissociation does not by itself justify therapeutic claims, particularly in the absence of long-term comparative outcome data. The most credible future for SEGRAMs lies not in universal replacement of conventional glucocorticoids, but in their potential to improve the therapeutic index in diseases for which prolonged or repeated glucocorticoid exposure remains necessary, but in which cumulative harm from toxicity is a major treatment burden.

选择性糖皮质激素受体调节剂(SEGRAMs):它们能提高类固醇治疗的治疗指数吗?
糖皮质激素仍然是广泛的炎症和免疫介导疾病中不可缺少的抗炎药物,但其长期使用受到累积毒性的限制。开发更安全的类固醇的尝试产生了选择性糖皮质激素受体激动剂和调节剂(SEGRAMs),最初的前提是可以保留抗炎功效,同时减少与不良反应相关的信号。目前的糖皮质激素受体生物学不再支持这种简单的二元模型。糖皮质激素受体的输出受配体诱导的构象、DNA序列、染色质可及性、辅因子募集和细胞特异性转录环境的影响,这使得选择性调节成为一种依赖于环境的药理学现象,而不是一种固定的分子特性。在这篇以临床为导向的叙述性综述中,我们重新评估了SEGRAMs的概念,从受体生物学到翻译和早期临床证据,明确区分了机制解离、从选定毒性中分离疗效的翻译和治疗指数的临床有意义的改善。有代表性的化合物表明,选择性糖皮质激素受体调节在药理学上是可行的,并且在某些情况下,可能将抗炎活性与选定的类固醇相关责任分开。然而,现有证据也表明,任何潜在的优势都是疾病特异性、毒性特异性和暴露依赖性的,机械解离本身并不能证明治疗主张是正确的,特别是在缺乏长期比较结果数据的情况下。SEGRAMs最可靠的未来不在于普遍替代传统的糖皮质激素,而在于它们有可能改善长期或反复接触糖皮质激素仍是必要的疾病的治疗指数,但在这些疾病中,毒性累积伤害是主要的治疗负担。
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来源期刊
Medical Science Monitor
Medical Science Monitor MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.40
自引率
3.20%
发文量
514
审稿时长
3.0 months
期刊介绍: Medical Science Monitor (MSM) established in 1995 is an international, peer-reviewed scientific journal which publishes original articles in Clinical Medicine and related disciplines such as Epidemiology and Population Studies, Product Investigations, Development of Laboratory Techniques :: Diagnostics and Medical Technology which enable presentation of research or review works in overlapping areas of medicine and technology such us (but not limited to): medical diagnostics, medical imaging systems, computer simulation of health and disease processes, new medical devices, etc. Reviews and Special Reports - papers may be accepted on the basis that they provide a systematic, critical and up-to-date overview of literature pertaining to research or clinical topics. Meta-analyses are considered as reviews. A special attention will be paid to a teaching value of a review paper. Medical Science Monitor is internationally indexed in Thomson-Reuters Web of Science, Journals Citation Report (JCR), Science Citation Index Expanded (SCI), Index Medicus MEDLINE, PubMed, PMC, EMBASE/Excerpta Medica, Chemical Abstracts CAS and Index Copernicus.
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