Shen Junwei, Li Xin, Zhong Yinghua, Zhang Jiechun, Qin Hongyun, Chen Fazhan, Zhao Xudong
Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China.
Department of Physical Examination Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Front Endocrinol (Lausanne). 2025 May 1;16:1551172. doi: 10.3389/fendo.2025.1551172. eCollection 2025.
Although brain-derived neurotrophic factor (BDNF)has garnered extensive attention as a neuroendocrine marker in schizophrenia (SZ), its clinical utility remains limite due to inconsistent findings.
To address this gap, serum samples were collected from 24 female patients with SZ and 25 healthy controls. The metabolic profiling was performed using gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) to capture abroad range of metabolites.
Our results revealed that BDNF is not a robust discriminatory biomarker. Marked differences in metabolic profiles were identified between patients with SZ and healthy individuals. The GC-MS analysis revealed significant differences in 79 metabolites; while the LC-MS analysis identified 419 significantly differential metabolites. Functional analysis reveals that these differential metabolites predominantly contribute to metabolic and neuro-related processes. Our findings demonstrate that norepinephrine and melatonin, two additional neuroendocrine compounds, are significantly elevated in patients with SZ compared to healthy controls. Notably, their higher areas under the curve (AUC) values compared to BDNF highlight their potential as more reliable biomarkers for SZ.
This study offers valuable insights into the altered metabolic patterns of female patients with SZ and establishes melatonin and norepinephrine as promising neuroendocrine biomarkers, underscoring their diagnostic value and role in the neuroendocrine regulation of mental disorders.
尽管脑源性神经营养因子(BDNF)作为精神分裂症(SZ)的一种神经内分泌标志物已引起广泛关注,但其临床应用仍因研究结果不一致而受到限制。
为填补这一空白,收集了24名女性SZ患者和25名健康对照者的血清样本。采用气相色谱 - 质谱联用(GC - MS)和液相色谱 - 质谱联用(LC - MS)进行代谢谱分析,以捕获广泛的代谢物。
我们的结果表明BDNF不是一个可靠的鉴别生物标志物。SZ患者与健康个体之间的代谢谱存在显著差异。GC - MS分析显示79种代谢物有显著差异;而LC - MS分析鉴定出419种显著差异的代谢物。功能分析表明,这些差异代谢物主要参与代谢和神经相关过程。我们的研究结果表明,与健康对照相比,另外两种神经内分泌化合物去甲肾上腺素和褪黑素在SZ患者中显著升高。值得注意的是,与BDNF相比,它们更高的曲线下面积(AUC)值突出了它们作为SZ更可靠生物标志物的潜力。
本研究为女性SZ患者代谢模式的改变提供了有价值的见解,并将褪黑素和去甲肾上腺素确立为有前景的神经内分泌生物标志物,强调了它们在精神障碍神经内分泌调节中的诊断价值和作用。