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首页> 外文期刊>Schizophrenia Research >NMDAR hypofunction and somatostatin-expressing GABAergic interneurons and receptors: A newly identified correlation and its effects in schizophrenia
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NMDAR hypofunction and somatostatin-expressing GABAergic interneurons and receptors: A newly identified correlation and its effects in schizophrenia

机译：NMDAR功能低下和表达促生长素抑制素的GABA能神经元和受体：新发现的相关性及其在精神分裂症中的作用

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This review investigates the association between N -methyl- d -Aspartate receptor (NMDAR) hypofunction and somatostatin-expressing GABAergic interneurons (SST +) and how it contributes to the cognitive deficits observed in schizophrenia (SZ). This is based on evidence that NMDAR antagonists caused symptoms resembling SZ in healthy individuals. NMDAR hypofunction in GABAergic interneurons results in the modulation of the cortical network oscillation, particularly in the gamma range (30–80 Hz). These gamma-band oscillation (GBO) abnormalities were found to lead to the cognitive deficits observed in the disorder. Postmortem mRNA studies have shown that SST decreased more significantly than any other biomarker in schizophrenic subjects. The functional role of Somatostatin (SST) in the aetiology of SZ can be studied through its receptors. Genetic knockout studies in animal models in Huntington's disease (HD) have shown that a specific SST receptor, SSTR2, is increased along with the increased NMDAR activity, with opposing patterns observed in SZ. A direct correlation between SSTR and NMDAR is hence inferred in this review with the hope of finding a potential new therapeutic target for the treatment of SZ and related neurological conditions.
机译：这篇综述调查了N-甲基-d-天门冬氨酸受体（NMDAR）功能低下和表达生长抑素的GABA能性中间神经元（SST +）之间的关联，以及它如何导致精神分裂症（SZ）中的认知缺陷。这是基于NMDAR拮抗剂在健康个体中引起类似于SZ症状的证据。 GABA能神经元的NMDAR功能低下会导致皮质网络振荡的调制，特别是在伽玛范围（30–80 Hz）中。这些γ波段振荡（GBO）异常被发现导致在该疾病中观察到的认知缺陷。死后mRNA研究表明，精神分裂症患者体内SST的下降比任何其他生物标记物都明显。生长抑素（SST）在SZ病因中的功能作用可以通过其受体进行研究。在亨廷顿舞蹈病（HD）的动物模型中进行的基因敲除研究表明，特定的SST受体SSTR2随着NMDAR活性的增加而增加，在SZ中观察到相反的模式。因此，在这篇综述中推断了SSTR和NMDAR之间的直接相关性，希望找到治疗SZ和相关神经疾病的潜在新治疗靶标。

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