1.Advances in Adult Neurogenesis in Mammal Subventricular Zone
Mengqi ZHANG ; Jiao ZHANG ; Chunyan ZHANG ; Dongsheng XIE ; Yifan MO ; Lei WANG ; Wei GE ; Haichen NIU
Progress in Modern Biomedicine 2017;17(22):4387-4390
Neurogenesis is a process in which the neuronal stem cells differentiate into functional neurons including the cell proliferation,differentiation and migration.Previously,it was believed that neurogenesis is a prenatal process and the adult ependymal cells are incapable of regeneration.Now it is clear that mammalian brain retains the ability to generate new ceils in specific regions.One of the regions is subventricular zone of the lateral ventricles,new generated neurons and glial cells later migrate to olfactory and repair dysosmia through the RMS road.Here we will review the advances in adult neurogenesis in mammal subventficular zone.
2.Early Diagnosis of Bipolar Disorder Coming Soon: Application of an Oxidative Stress Injury Biomarker (BIOS) Model.
Zhiang NIU ; Xiaohui WU ; Yuncheng ZHU ; Lu YANG ; Yifan SHI ; Yun WANG ; Hong QIU ; Wenjie GU ; Yina WU ; Xiangyun LONG ; Zheng LU ; Shaohua HU ; Zhijian YAO ; Haichen YANG ; Tiebang LIU ; Yong XIA ; Zhiyu CHEN ; Jun CHEN ; Yiru FANG
Neuroscience Bulletin 2022;38(9):979-991
Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism*
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Bipolar Disorder/metabolism*
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Depressive Disorder, Major/diagnosis*
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Early Diagnosis
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Humans
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Oxidative Stress