The Neuroimmune and Neurotoxic Fingerprint of Major Neurocognitive Psychosis or Deficit Schizophrenia: a Supervised Machine Learning Study

被引:27
作者
Al-Hakeim, Hussein Kadhem [1 ]
Almulla, Abbas F. [2 ]
Maes, Michael [3 ,4 ,5 ]
机构
[1] Univ Kufa, Dept Chem, Coll Sci, Kufa, Iraq
[2] Islamic Univ, Coll Med Technol, Med Lab Technol Dept, Najaf, Iraq
[3] Chulalongkorn Univ, Dept Psychiat, Fac Med, Bangkok, Thailand
[4] Med Univ Plovdiv, Dept Psychiat, Plovdiv, Bulgaria
[5] Deakin Univ, IMPACT Strateg Res Ctr, POB 281, Geelong, Vic 3220, Australia
关键词
Deficit schizophrenia; Machine learning; Cytokine; Cognition; Immunological biomarkers; INTERLEUKIN-1 RECEPTOR ANTAGONIST; BIPOLAR DISORDER; TNF-ALPHA; INFLAMMATORY MARKERS; CYTOKINE ALTERATIONS; DEPRESSION; ACTIVATION; BIOMARKERS; SYMPTOMS; IL-1;
D O I
10.1007/s12640-019-00112-z
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
No studies have examined the immune fingerprint of major neurocognitive psychosis (MNP) or deficit schizophrenia using M1 macrophage cytokines in combination with chemokines such as CCL2 and CCL11. The present study delineated the neuroimmune fingerprint of MNP by analyzing plasma levels of IL-1 beta, sIL-1RA, TNF alpha, sTNFR1, sTNFR2, CCL2, and CCL11 in 120 MNP versus 54 healthy controls in association with neurocognitive scores (as assessed with the Brief Assessment of Cognition in Schizophrenia) and PHEMN (psychotic, hostility, excitation, mannerism and negative) symptoms. MNP was best predicted by a combination of CCL11, TNF alpha, IL-1 beta, and sIL-1RA which yielded a bootstrapped (n = 2000) area under the receiver operating curve of 0.985. Composite scores reflecting M1 macrophage activity and neurotoxic potential including effects of CCL11 and CCL2 were significantly increased in MNP. A large part of the variance in PHEM (38.4-52.6%) and negative (65.8-74.4%) symptoms were explained by combinations of immune markers whereby CCL11 was the most important. The same markers explained a large part of the variance in the Mini-Mental State examination, list learning, digit sequencing task, category instances, controlled word association, symbol coding, and Tower of London. Partial least squares analysis showed that 72.7% of the variance in overall severity of schizophrenia was explained by the regression on IL-1 beta, sIL-1RA, CCL11, TNF alpha, and education. It is concluded that the combination of the abovementioned markers defines MNP as a distinct neuroimmune disorder and that increased immune neurotoxicity determines memory and executive impairments and PHEMN symptoms as well.
引用
收藏
页码:753 / 771
页数:19
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