2026年10月19日
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arXiv

神经回路在脑部药物研发中取代基因成为起点

AI 绘制的示意图

脑部药物研发可以从出问题的神经回路开始,而不是从与诊断相关的基因开始,这样提出的靶点会更容易检查和测试。Exin Therapeutics 使用 CircuitATLAS 提名 ATP1A3,并在小鼠皮层中间神经元中提高其水平,使化学诱导的异常电活动在三个频段中都减弱。如果这种回路模式、细胞特异性干预和临床获益在人类身上能够对应起来,癫痫诊所就可以根据记录到的活动来选择治疗方案。

神经系统药物研发通常从与疾病相关的基因或蛋白质开始。当不同的遗传问题最终导致同一个出问题的神经回路时,这并不是一个好的起点。患者可能会接受能够压制症状的药物或设备,却没有一种系统方法来找到最有可能恢复正常功能的回路控制点。

从疾病名称到回路问题

神经回路是一组相互连接的神经细胞,其活动会产生某种功能。在许多神经系统疾病中,重要线索并不是最先发生变化的是哪种分子,而是回路现在在做什么:放电过多,或者无法维持抑制。记录可以揭示这种异常活动,但要把它转化为药物靶点,就需要把来自许多方面的证据联系起来——脑区、细胞类型、电信号和分子生物学。

CircuitATLAS 试图让这些联系变得可检查。它是一个知识图谱:一张地图,其中蛋白质、细胞和脑区等事物通过记录在案的关系连接起来。每条连接都应当带有来源和支持性引文,这样研究人员就可以检查这条路径,而不是盲目相信人工智能给出的答案。

这张地图由大规模文献检索和其他数据集构建而成。它的 3,831,997 个节点和 7,659,618 条边,通过 105 种关系连接了 23 类实体。但规模并不能让每条连接都成为事实。在 4,050 条边的样本中,另一个模型判断有 17.8% 的边在所引用的段落中没有被明确陈述。图谱可以展示证据,但仍会继承错误、发表偏倚和缺失的阴性结果。

沿着回路找到一个靶点

CircuitATLAS 改变了搜索顺序。它从一种与疾病相关的活动模式开始,然后询问是哪个回路和细胞群产生了这种模式,最后才寻找能够改变这种活动的分子。作者在生成靶点时排除了疾病到基因以及疾病到蛋白质的直接连接,以阻止系统从疾病名称直接跳到相关分子这一常见捷径。

这一流程针对三种疾病产生了不同的提议:脆性 X 综合征对应 SLC17A6,Dravet 综合征对应 HTR1A,癫痫对应 ATP1A3。ATP1A3 是神经细胞中钠钾泵的一部分。当细胞反复放电时,钠会在细胞内积累。钠钾泵利用这一信号把正电荷移出细胞,帮助细胞降低再次放电的可能性。因此,在抑制性中间神经元中提高 ATP1A3 的水平,可能有助于抑制失控的活动。

这是一项预测,而不是一种治疗。在接受化学物质 4-氨基吡啶、从而产生过度皮层活动的小鼠中,研究团队提高了中间神经元中的 ATP1A3 水平。β 频段电功率的中位数变化从 11.16 倍降至 1.33 倍。低 γ 和高 γ 活动也有所下降,而 δ、θ 和 α 活动没有变化。报告中的比较结果显示,三个受影响频段的 q=0.0087,Cliff’s delta 均为 -1.0。

这一实验让人工智能生成的靶点可以受到质疑:提出的机制能够在动物中接受测试,而不是停留在报告中的一段话里。但它并没有显示 CircuitATLAS 发现治疗方法的能力优于经验丰富的神经科学团队。作者表示,他们尚未前瞻性地测试该系统,也没有将它与专家主导的方法或其他计算方法进行比较。

Refer to caption
Figure 4: A circuit-first evidence-gated agentic workflow for cross-scale target discovery.A user initiates a campaign with a central nervous system disease and therapeutic modality, after which subsequent inputs may be provided in free form. A coordinating PI agent manages the workflow, applies gates, identifies failures, and re-triggers earlier stages when evidence is insufficient. The circuit agent identifies disease-relevant activity phenotypes, circuits, regions, and cell populations using CircuitATLAS. After a gate requiring sourced and directionally coherent evidence, the molecular agent searches for effectors capable of modulating the selected circuit phenotype while direct disease-to-molecule information is masked to prevent shortcut reasoning. The modality agent evaluates the feasibility of engaging the proposed target, including intervention, vector, promoter, and campaign-level constraints, and the clinical agent assesses existing trials, biomarkers, safety, and translational evidence. An adversarial sceptic independently challenges the reasoning produced at each specialist stage. Three memory layers maintain the read-only semantic knowledge graph, an episodic campaign graph written by the PI agent, and a compacted working transcript. The workflow terminates in ranked target dossiers containing the supporting evidence, assumptions, uncertainties, and proposed route to validation; dossiers that fail predefined evidence or feasibility gates are rejected or returned for further search.To illustrate the hypotheses generated by this workflow, we applied the agent to Fragile X syndrome, Dravet syndrome and epilepsy (Table 4). In Fragile X syndrome, the workflow identified excessive thalamocortical gain and nominated partial suppression of SLC17A6 (VGLUT2) in excitatory thalamic relay neurons as a corrective intervention. Reducing vesicular glutamate loading was predicted to lower quantal transmission at thalamocortical synapses and thereby reduce cortical gain, although the essential role and broad subcortical expression of VGLUT2 make partial and anatomically restricted modulation an important constraint. In Dravet syndrome, the agent proposed partial suppression of the somatodendritic HTR1A autoreceptor in dorsal raphe serotonergic neurons, with the aim of releasing these neurons from autoinhibition and increasing forebrain serotonin tone. This strategy has clinical precedent in the indication, since fenfluramine is approved for seizures associated with Dravet syndrome and acts in part through serotonergic mechanisms, although the workflow also surfaced potentially divergent effects of 5-HT1A signalling across seizure phenotypes. In epilepsy, CircuitATLAS nominated ATP1A3, the neuronal α\\alpha3 Na+/K+-ATPase, as a control point on cortical excitability, with potentiation predicted to increase activity-dependent hyperpolarizing current and preserve inhibitory restraint during sustained firing. We selected ATP1A3 for experimental validation and carried this hypothesis into the in vivo and structure-guided campaign described in the next section. Together, these examples illustrate how CircuitATLAS identifies targets through their capacity to control pathological circuit states rather than through their molecular association with disease. 出处: CircuitATLAS: Agentic reasoning over a systems neuroscience knowledge graph for target discovery in circuitopathies(arXiv)
Refer to caption
Figure 5: An in vivo lab-in-the-loop, from a graph-derived control point to a chemistry campaign.(A) Campaigns enter at one of four points and are planned by an experiment-design agent that addresses the laboratory through a Model Context Protocol server, exposing 25 tools and 20 resources over a structured record of 81 versioned procedures, operator competence, equipment state, colony and consumable stock, reserved capacity and cost per subject. Designs pass deterministic gates before human approval; an assay the laboratory does not hold enters as a capability request. (B) Pump turnover exports net positive charge and depends on intracellular Na+, so the hyperpolarizing current it generates is recruited in proportion to the Na+ that firing accumulates (inset). (C) Mean cortical LFP power spectra for AAV9.mDlx.ATP1A3 and the reference vector at baseline and under focal 4-AP, canonical bands shaded. Baseline power differs between arms, so the primary contrast is within-animal. (D) Absolute band power, one point per animal, with medians (reference baseline n=8n=8, ATP1A3 baseline n=6n=6, reference 4-AP n=5n=5, ATP1A3 4-AP n=7n=7); qq values are Benjamini–Hochberg corrected across bands for the within-animal fold-change contrast. (E) Structure-guided campaign on the validated target, with one representative compound and predicted binding score per site, sites ordered by the prior probability that occupancy raises turnover. Docking predicts binding, not polarity. (F) The polarity screen: 48 wells across the four site classes, thallium flux on human α\\alpha3 with α\\alpha1 and α\\alpha2 in parallel on an ouabain-resistant background, at sub-maximal Na+ load.We used ATP1A3 to illustrate how a target hypothesis can be advanced through this process. CircuitATLAS nominated the neuronal α\\alpha3 Na+/K+-ATPase as a control point on cortical excitability. Pump turnover exports net positive charge and is recruited by the intracellular Na+ load that firing generates, producing an activity-dependent hyperpolarizing current (Figure 5B)36. ATP1A3 is restricted to neurons and strongly expressed in GABAergic populations37, while loss of function is epileptogenic38 and pharmacological pump inhibition is convulsant39, together suggesting potentiation as the therapeutic direction. The unresolved question was whether increasing ATP1A3 in inhibitory interneurons would strengthen inhibition during sustained firing or instead suppress their output. 出处: CircuitATLAS: Agentic reasoning over a systems neuroscience knowledge graph for target discovery in circuitopathies(arXiv)

真正的药物仍需证明什么

下一步并不只是找到一种能够黏附 ATP1A3 的分子。对接计算可以预测结合,但无法告诉我们这种分子会增强还是阻断钠钾泵。这项筛选产生了 250 个预测能够结合的分子,其中包括 50 个可以直接订购的化合物。必要的测试必须证明其作用方向符合预期,还必须避免影响其他组织中密切相关的钠钾泵。

如果这些测试成功,药物研发实验室就可以淘汰那种只是在计算机上得分很高的候选物,推进真正按照预期改变神经元钠钾泵的候选物。再往后,癫痫诊所可以把患者反复出现的皮层活动失控模式,与针对这种回路异常的疗法匹配起来,而不是主要根据诊断来选择治疗方案。这一场景取决于前瞻性人体试验能否证明,记录到的活动、干预措施和临床获益在人类身上能够相互对应。它还取决于能否把治疗送到正确的人体细胞中:AAV 载体可以在实验动物中靶向特定细胞群,但在人体内实现细胞特异性递送和持久控制仍然很困难。

CircuitATLAS 是 Exin Therapeutics 于 2026 年 10 月 7 日发布的一篇预印本。该公司已经提交了与这项工作相关的临时专利申请,两位作者都是公司的联合创始人和股东。这项单次小鼠验证是对这一想法的有用测试,但还不能证明这一想法能够可靠地产生更好的药物。

来源

CircuitATLAS:面向回路病变靶点发现的系统神经科学知识图谱智能推理