一种生成式ai发现的TNIK抑制剂用于特发性肺纤维化:一项随机2a期试验

IF 58.7 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Zuojun Xu, Feng Ren, Ping Wang, Jie Cao, Chunting Tan, Dedong Ma, Li Zhao, Jinghong Dai, Yipeng Ding, Haohui Fang, Huiping Li, Hong Liu, Fengming Luo, Ying Meng, Pinhua Pan, Pingchao Xiang, Zuke Xiao, Sujata Rao, Carol Satler, Sang Liu, Yuan Lv, Heng Zhao, Shan Chen, Hui Cui, Mikhail Korzinkin, David Gennert, Alex Zhavoronkov
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引用次数: 0

摘要

尽管人工智能(AI)在生殖化学方面取得了实质性进展,但很少有人工智能发现或设计的新药物进入人体临床试验。在这里,我们展示了第一项2a期多中心、双盲、随机、安慰剂对照试验的结果,该试验测试了rentosertib(原ISM001-055)的安全性和有效性,rentosertib是一种一流的人工智能生成的TNIK小分子抑制剂,是一种一流的特发性肺纤维化(IPF)靶点。IPF是一种与年龄相关的进行性肺部疾病,目前尚无可逆转疾病退行性过程的治疗方法。患者被随机分为每日1次30mg rentosertib (QD, n = 18)、每日2次30mg rentosertib (BID, n = 18)、每日60mg rentosertib (n = 18)或安慰剂(n = 17)治疗12周。主要终点是至少有一个治疗不良事件的患者百分比,这在所有治疗组中都是相似的(接受30 mg rentosertib QD的患者中为72.2% (n = 13/18), 30 mg rentosertib BID组为83.3% (n = 15/18), 60 mg rentosertib QD组为83.3% (n = 15/18),安慰剂组为70.6% (n = 12/17))。治疗相关的严重不良事件发生率较低,且各治疗组之间具有可比性,导致停药的最常见事件与肝毒性或腹泻有关。次要终点包括药代动力学(Cmax, Ctrough, tmax, AUC0-t /τ/∞和t1/2),肺功能的变化(通过强迫肺活量测量),肺一氧化碳扩散能力,1 s内强迫呼气和莱斯特咳嗽问卷评分的变化,6分钟步行距离的变化以及IPF急性加重的次数和住院时间。我们观察到60mg rentosertib QD组患者在最高剂量下的强迫肺活量增加,平均变化为+98.4 ml(95%可信区间10.9至185.9),而安慰剂组为- 20.3 ml(95%可信区间- 116.1至75.6)。这些结果表明,rentosertib靶向TNIK是安全且耐受性良好的,值得在更大规模、更长期的临床试验中进一步研究。ClinicalTrials.gov注册号:NCT05938920。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A generative AI-discovered TNIK inhibitor for idiopathic pulmonary fibrosis: a randomized phase 2a trial

A generative AI-discovered TNIK inhibitor for idiopathic pulmonary fibrosis: a randomized phase 2a trial

Despite substantial progress in artificial intelligence (AI) for generative chemistry, few novel AI-discovered or AI-designed drugs have reached human clinical trials. Here we present the results of the first phase 2a multicenter, double-blind, randomized, placebo-controlled trial testing the safety and efficacy of rentosertib (formerly ISM001-055), a first-in-class AI-generated small-molecule inhibitor of TNIK, a first-in-class target in idiopathic pulmonary fibrosis (IPF) discovered using generative AI. IPF is an age-related progressive lung condition with no current therapies available that reverse the degenerative course of disease. Patients were randomized to 12 weeks of treatment with 30 mg rentosertib once daily (QD, n = 18), 30 mg rentosertib twice daily (BID, n = 18), 60 mg rentosertib QD (n = 18) or placebo (n = 17). The primary endpoint was the percentage of patients who have at least one treatment-emergent adverse event, which was similar across all treatment arms (72.2% in patients receiving 30 mg rentosertib QD (n = 13/18), 83.3% for 30 mg rentosertib BID (n = 15/18), 83.3% for 60 mg rentosertib QD (n = 15/18) and 70.6% for placebo (n = 12/17)). Treatment-related serious adverse event rates were low and comparable across treatment groups, with the most common events leading to treatment discontinuation related to liver toxicity or diarrhea. Secondary endpoints included pharmacokinetic dynamics (Cmax, Ctrough, tmax, AUC0–t/τ/∞ and t1/2), changes in lung function as measured by forced vital capacity, diffusion capacity of the lung for carbon monoxide, forced expiry in 1 s and change in the Leicester Cough Questionnaire score, change in 6-min walk distance and the number and hospitalization duration of acute exacerbations of IPF. We observed increased forced vital capacity at the highest dosage with a mean change of +98.4 ml (95% confidence interval 10.9 to 185.9) for patients in the 60 mg rentosertib QD group, compared with −20.3 ml (95% confidence interval −116.1 to 75.6) for the placebo group. These results suggest that targeting TNIK with rentosertib is safe and well tolerated and warrants further investigation in larger-scale clinical trials of longer duration. ClinicalTrials.gov registration number: NCT05938920.

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来源期刊
Nature Medicine
Nature Medicine 医学-生化与分子生物学
CiteScore
100.90
自引率
0.70%
发文量
525
审稿时长
1 months
期刊介绍: Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.
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