Advancing precision pain medicines to the clinic

将精准止痛药推向临床

基本信息

  • 批准号:
    10822921
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-22 至 2025-08-31
  • 项目状态:
    未结题

项目摘要

Abstract Chronic pain is pain that persists past the normal time of healing. 1.5 billion people worldwide suffer from chronic pain and this number continues to increase as the elderly population grows, the prevalence of diabetes rises, and cancer survival rates improve. Chronic pain not only severely impacts daily quality of life for many patients, it also places a heavy socioeconomic burden on society. Due to the limited number of efficacious treatment options available, chronic pain is often treated with opioids despite the risk of addiction and side effects. Unfortunately, the prescribing of opioids to treat chronic pain has largely fueled the current opioid epidemic. Therefore, there is an urgent and clear unmet need for non-addictive alternative analgesics for the treatment of chronic pain. The push to develop specific and non-addictive alternative painkillers has brought interest to a particular sodium channel, NaV1.7, shown to be important for pain sensing. Gain-of-function mutations in NaV1.7 are associated with rare disorder characterized by intense pain, such as in patients with primary erythromelalgia and small-fiber neuropathy. Additionally, NaV1.7 expression levels have been shown to increase in various pain conditions. Conversely, loss-of function of NaV1.7 results in the inability to feel pain. Therefore, inhibiting NaV1.7 can be an effective method of reducing pain and treating patients with chronic pain. To accomplish this, we designed epigenetic modulators to repress expression of NaV1.7. Rather than making permanent edits to the genome, these epigenetic modulators will transiently inhibit expression of NaV1.7. By targeting NaV1.7 at the DNA-level, we can achieve specific and long-lasting modulation of NaV1.7, with better pharmacokinetics prospects than RNA- and protein- targeting approaches. This innovative approach has been shown to prevent and reverse acute and chronic pain in five preclinical models of pain. Given the exciting novelty of this approach, in addition to its high level of specificity and efficacy, the goal of this project is to support the business development activities in finding a strong partner to bring this therapy to the millions of patients that need non-addictive, efficacious, and long-lasting treatments for chronic pain.
摘要

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Fernando Aleman Guillen其他文献

Fernando Aleman Guillen的其他文献

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{{ truncateString('Fernando Aleman Guillen', 18)}}的其他基金

Preclinical optimization of a gene therapy for erythromelalgia and chronic pain
红斑性肢痛症和慢性疼痛基因疗法的临床前优化
  • 批准号:
    10415098
  • 财政年份:
    2021
  • 资助金额:
    $ 40万
  • 项目类别:
Preclinical optimization of a gene therapy for erythromelalgia and chronic pain
红斑性肢痛症和慢性疼痛基因疗法的临床前优化
  • 批准号:
    10855356
  • 财政年份:
    2021
  • 资助金额:
    $ 40万
  • 项目类别:
Supplement to Promote Diversity, Inclusion, and Career Development of a Female Scientist
促进女科学家的多样性、包容性和职业发展的补充
  • 批准号:
    10534074
  • 财政年份:
    2021
  • 资助金额:
    $ 40万
  • 项目类别:
Preclinical optimization of a gene therapy for erythromelalgia and chronic pain
红斑性肢痛症和慢性疼痛基因疗法的临床前优化
  • 批准号:
    10220568
  • 财政年份:
    2021
  • 资助金额:
    $ 40万
  • 项目类别:
Optimization of a Gene Therapy for Chronic Pain in Human DRGs
人类 DRG 慢性疼痛基因疗法的优化
  • 批准号:
    10259387
  • 财政年份:
    2021
  • 资助金额:
    $ 40万
  • 项目类别:
Treatment of Chemotherapy-Induced Peripheral Neuropathy via Genetic Repression of Sodium Channels
通过钠通道的基因抑制治疗化疗引起的周围神经病变
  • 批准号:
    10487589
  • 财政年份:
    2019
  • 资助金额:
    $ 40万
  • 项目类别:
Treatment of Chemotherapy-Induced Peripheral Neuropathy via Genetic Repression of Sodium Channels
通过钠通道的基因抑制治疗化疗引起的周围神经病变
  • 批准号:
    10384645
  • 财政年份:
    2019
  • 资助金额:
    $ 40万
  • 项目类别:
Supplement to Promote Diversity and Inclusion, Female Scientist
促进多样性和包容性的补充,女科学家
  • 批准号:
    10057248
  • 财政年份:
    2019
  • 资助金额:
    $ 40万
  • 项目类别:

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