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揭开老药新用对抗肝纤维化的可能性

2026-05-16 15:40· 92天前
AI 导读

斯坦福大学遗传学家利用Co-Scientist工具,在现有药物中筛选用于治疗慢性肝病和肝纤维化的潜在疗法。这种方法专注于老药新用,旨在加速药物发现过程,为肝纤维化这一难治性疾病提供新的治疗思路。

Liver fibrosis is a scarring process that can lead to cirrhosis, which causes more than 1.4 million deaths each year. Geneticist Gary Peltz at Stanford University School of Medicine is using Co-Scientist to accelerate the hunt for medicines that can slow, stop, or reverse it.

In research published in Advanced Science, Peltz’s team explored whether Co-Scientist could support efforts to identify drugs from the vast literature of existing medicines that could be repurposed to treat fibrosis. Peltz asked Co-Scientist to propose three candidates and explain its reasoning. He also identified two candidate drugs himself, based on their notable presence in the liver fibrosis literature.

Then Peltz put all five drugs through his lab’s fibrosis testbed, which consists of live human liver cells. His two drug picks showed no benefit against fibrosis. By contrast, of the three drug candidates selected by Co-Scientist, two blocked fibrosis and promoted the regeneration of liver cells. One of these drugs had only been linked to liver fibrosis in a handful of papers – a needle in the haystack of scientific literature.

Co-Scientist’s standout pick was the cancer drug vorinostat. In Peltz’s experiments, it blocked 91% of a damage response that can drive liver scarring. Co-Scientist’s suggestions pointed toward drugs that reshape gene activity, rather than targeting a single fibrosis pathway. Peltz argues that such drugs deserve serious consideration as treatments for liver fibrosis, and could ultimately help launch a new generation of anti-fibrotic medicines.

Co-Scientist feels like a collaborator that’s read everything available about biomedical science, with the reasoning capabilities to find the connections that we’re currently missing.

Professor Gary Peltz

Stanford University School of Medicine

来源:Google DeepMind:Blog(RSS) · deepmind.google

揭开老药新用对抗肝纤维化的可能性

Google DeepMind:Blog(RSS)·2026-05-16 15:40·92天前
AI 导读

斯坦福大学遗传学家利用Co-Scientist工具,在现有药物中筛选用于治疗慢性肝病和肝纤维化的潜在疗法。这种方法专注于老药新用,旨在加速药物发现过程,为肝纤维化这一难治性疾病提供新的治疗思路。

原文 · 保持原样,未翻译

Liver fibrosis is a scarring process that can lead to cirrhosis, which causes more than 1.4 million deaths each year. Geneticist Gary Peltz at Stanford University School of Medicine is using Co-Scientist to accelerate the hunt for medicines that can slow, stop, or reverse it.

In research published in Advanced Science, Peltz’s team explored whether Co-Scientist could support efforts to identify drugs from the vast literature of existing medicines that could be repurposed to treat fibrosis. Peltz asked Co-Scientist to propose three candidates and explain its reasoning. He also identified two candidate drugs himself, based on their notable presence in the liver fibrosis literature.

Then Peltz put all five drugs through his lab’s fibrosis testbed, which consists of live human liver cells. His two drug picks showed no benefit against fibrosis. By contrast, of the three drug candidates selected by Co-Scientist, two blocked fibrosis and promoted the regeneration of liver cells. One of these drugs had only been linked to liver fibrosis in a handful of papers – a needle in the haystack of scientific literature.

Co-Scientist’s standout pick was the cancer drug vorinostat. In Peltz’s experiments, it blocked 91% of a damage response that can drive liver scarring. Co-Scientist’s suggestions pointed toward drugs that reshape gene activity, rather than targeting a single fibrosis pathway. Peltz argues that such drugs deserve serious consideration as treatments for liver fibrosis, and could ultimately help launch a new generation of anti-fibrotic medicines.

Co-Scientist feels like a collaborator that’s read everything available about biomedical science, with the reasoning capabilities to find the connections that we’re currently missing.

Professor Gary Peltz

Stanford University School of Medicine

来源:Google DeepMind:Blog(RSS)· deepmind.google