| Literature DB >> 31959776 |
Da-Zhong Luo1, Chia-Yuan Chang1, Tsung-Ren Huang1, Vincent Studer2,3, Tsu-Wei Wang4, Wen-Sung Lai5,6,7.
Abstract
Accumulating evidence suggests AKT1 and DRD2-AKT-GSK3 signaling involvement in schizophrenia. AKT1 activity is also required for lithium, a GSK3 inhibitor, to modulate mood-related behaviors. Notably, GSK3 inhibitor significantly alleviates behavioral deficits in Akt1-/- female mice, whereas typical/atypical antipsychotics have no effect. In agreement with adjunctive therapy with lithium in treating schizophrenia, our data mining indicated that the average utilization rates of lithium in the Taiwan National Health Insurance Research Database from 2002 to 2013 are 10.9% and 6.63% in inpatients and outpatients with schizophrenia, respectively. Given that lithium is commonly used in clinical practice, it is of great interest to evaluate the effect of lithium on alleviating Akt1-related deficits. Taking advantage of Akt1+/- mice to mimic genetic deficiency in patients, behavioral impairments were replicated in female Akt1+/- mice but were alleviated by subchronic lithium treatment for 13 days. Lithium also effectively alleviated the observed reduction in phosphorylated GSK3α/β expression in the brains of Akt1+/- mice. Furthermore, inhibition of Akt expression using an Akt1/2 inhibitor significantly reduced neurite length in P19 cells and primary hippocampal cell cultures, which was also ameliorated by lithium. Collectively, our findings implied the therapeutic potential of lithium and the importance of the AKT1-GSK3 signaling pathway.Entities:
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Year: 2020 PMID: 31959776 PMCID: PMC6971245 DOI: 10.1038/s41598-019-57340-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
The demographic characteristics of clinical medical treatments for inpatients with schizophrenia from the National Health Insurance Research Database (NHIRD) of Taiwan from 2002 to 2013.
| Total inpatients | Lithium | Haloperidol | Olanzapine | Risperidone | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| N = 3365 | N = 367 (10.90%) | N = 1716 (51.00%) | N = 981 (29.15%) | N = 1774 (52.72%) | ||||||
| Mean | (SD) | Mean | (SD) | Mean | (SD) | Mean | (SD) | Mean | (SD) | |
| Age | 41.12 | 14.34 | 38.05 | 10.41 | 40.37 | 12.71 | 40.28 | 12.75 | 40.04 | 13.1 |
| Gender (M:F) | 1: 0.97 | 1: 1.02 | 1: 0.92 | 1: 1.02 | 1: 0.99 | |||||
| <18 | 46 | 4 | 15 | 9 | 24 | |||||
| 18–24 | 353 | 34 | 147 | 85 | 178 | |||||
| 25–34 | 814 | 103 | 443 | 269 | 468 | |||||
| 35–44 | 901 | 124 | 527 | 280 | 477 | |||||
| 45–54 | 695 | 78 | 371 | 199 | 382 | |||||
| 55–65 | 331 | 21 | 135 | 99 | 167 | |||||
| >65 | 225 | 3 | 78 | 40 | 78 | |||||
| 2002 | 541 | 51 | 255 | 86 | 182 | |||||
| 2003 | 414 | 43 | 199 | 105 | 195 | |||||
| 2004 | 370 | 37 | 167 | 65 | 193 | |||||
| 2005 | 313 | 31 | 168 | 71 | 160 | |||||
| 2006 | 278 | 39 | 175 | 69 | 157 | |||||
| 2007 | 208 | 30 | 124 | 83 | 140 | |||||
| 2008 | 239 | 31 | 119 | 81 | 163 | |||||
| 2009 | 241 | 21 | 139 | 88 | 152 | |||||
| 2010 | 216 | 15 | 108 | 75 | 118 | |||||
| 2011 | 194 | 24 | 84 | 103 | 111 | |||||
| 2012 | 183 | 27 | 89 | 83 | 112 | |||||
| 2013 | 168 | 18 | 89 | 72 | 91 | |||||
Participating medical care institutions of the NHIRD are required to electronically submit monthly claim documents related to medical expenses. Such documents include information such as patient demographic data, diagnostic codes, medical institutions visited, dates of prescriptions, drugs prescribed, and claimed medical expenses. Individual and hospital identifiers are unique to the NHIRD and cannot be used to trace individual patients or medical care institutions. Our study sample consisted of 3365 inpatients with schizophrenia. The prescription of antipsychotic drugs included lithium, haloperidol, olanzapine, and risperidone. The remaining patients were classified according to the antipsychotic agent that was prescribed to them as of the index date. We also divided the samples into different ages and schizophrenia subtypes to show the demographics.
The demographic characteristics of clinical medical treatments for outpatients with schizophrenia from the National Health Insurance Research Database (NHIRD) of Taiwan from 2002 to 2013.
| Total outpatients | Lithium | Haloperidol | Olanzapine | Risperidone | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| N = 4627 | N = 307 (6.63%) | N = 1462 (31.6%) | N = 913 (19.73%) | N = 1936 (41.84%) | ||||||
| Mean | (SD) | Mean | (SD) | Mean | (SD) | Mean | (SD) | Mean | (SD) | |
| Age | 42.17 | 14.96 | 38.15 | 10.73 | 40.83 | 12.94 | 40.23 | 13.54 | 40.8 | 14.21 |
| Gender (M:F) | 1: 0.96 | 1: 1.012 | 1: 0.87 | 1: 0.93 | 1: 0.96 | |||||
| <18 | 56 | 5 | 13 | 9 | 24 | |||||
| 18–24 | 439 | 28 | 115 | 90 | 194 | |||||
| 25–34 | 1104 | 83 | 376 | 259 | 526 | |||||
| 35–44 | 1175 | 102 | 436 | 251 | 484 | |||||
| 45–54 | 960 | 67 | 314 | 161 | 381 | |||||
| 55–65 | 511 | 19 | 139 | 96 | 199 | |||||
| >65 | 380 | 3 | 69 | 47 | 128 | |||||
| 2002 | 851 | 44 | 233 | 93 | 194 | |||||
| 2003 | 556 | 37 | 155 | 117 | 211 | |||||
| 2004 | 480 | 30 | 131 | 84 | 206 | |||||
| 2005 | 410 | 24 | 136 | 65 | 171 | |||||
| 2006 | 346 | 33 | 123 | 56 | 178 | |||||
| 2007 | 315 | 29 | 105 | 60 | 145 | |||||
| 2008 | 288 | 15 | 98 | 67 | 169 | |||||
| 2009 | 322 | 22 | 126 | 92 | 172 | |||||
| 2010 | 289 | 18 | 109 | 62 | 124 | |||||
| 2011 | 277 | 19 | 85 | 68 | 122 | |||||
| 2012 | 260 | 23 | 94 | 74 | 128 | |||||
| 2013 | 223 | 13 | 67 | 75 | 116 | |||||
Our study sample consisted of 4627 outpatients with schizophrenia from the NHIRD. The methodological details were described previously in Table 1.
The overall percentage of person-times for the four major categories of medications used in each of the three major subtypes of first diagnosed schizophrenia in inpatients and outpatients.
| Total | Lithium | Haloperidol | Olanzapine | Risperidone | |||||
|---|---|---|---|---|---|---|---|---|---|
| Subtypes | (%) | Subtypes | (%) | Subtypes | (%) | Subtypes | (%) | Subtypes | (%) |
| Paranoid type schizophrenia | 31.08 | Paranoid type schizophrenia | 26.47 | Paranoid type schizophrenia | 35.81 | Paranoid type schizophrenia | 33.63 | Paranoid type schizophrenia | 36.89 |
| Unspecified schizophrenia | 20.66 | Schizoaffective disorder | 25.25 | Unspecified schizophrenia | 20.88 | Unspecified schizophrenia | 22.25 | Unspecified schizophrenia | 22.1 |
| Simple type schizophrenia | 5.46 | Unspecified schizophrenia | 18.38 | Schizoaffective disorder | 7.7 | Schizoaffective disorder | 8.14 | Schizoaffective disorder | 6.38 |
| Schizoaffective disorder | 5.46 | ||||||||
| Paranoid type schizophrenia | 28.66 | Schizoaffective disorder | 37.46 | Paranoid type schizophrenia | 30.3 | Paranoid type schizophrenia | 33.08 | Paranoid type schizophrenia | 36.57 |
| Unspecified schizophrenia | 14.39 | Paranoid type schizophrenia | 23.45 | Unspecified schizophrenia | 18.88 | Unspecified schizophrenia | 15.01 | Unspecified schizophrenia | 14 |
| Simple type schizophrenia | 5.9 | Unspecified schizophrenia | 7.49 | Schizoaffective disorder | 7.87 | Schizoaffective disorder | 7.56 | Schizoaffective disorder | 5.99 |
| Schizoaffective disorder | 5.14 | ||||||||
The methodological details were described previously in Table 1.
Figure 1The effect of subchronic lithium treatment on the amelioration of behavioral deficits (mean + SEM) in WT and Akt1 female mice in Experiment 2 A. (A) Average weight gain throughout the 13 days of lithium (100 mg/kg, i.p.) or vehicle administration. (B) Prepulse inhibition (PPI) was measured on the 9th day after subchronic lithium/vehicle administration. (C) Tail suspension test was conducted 11 days after subchronic lithium/vehicle administration. (D) Methamphetamine (Meth, 10 mg/kg, i.p.)-induced locomotion and stereotypic behavior were evaluated on the 13th day after subchronic lithium/vehicle administration. (E) The effect of methamphetamine on the short term and long term locomotion (i.e., 0–20 and 20–60 minutes after Meth injection, respectively) across 5-minute time bins among the 4 groups. The red dashed line indicates the time of methamphetamine injection. (F) The onset time of Meth-induced stereotypic behaviors was recorded. (G) The duration of Meth-induced stereotypic behaviors was recorded in an open field. Baseline: 0–60 min; Meth: 60–120 min. (H) The effect of methamphetamine on the total number of methamphetamine-induced stereotyped behavior across 5-min time bins among the 4 groups. The red dashed line indicates the time of methamphetamine injection. Methamphetamine was injected after the end of the 60-min baseline. n = 10 per group. *p < 0.05; #p ≈ 0.05.
Figure 2The effect of subchronic injections of lithium or saline on phosphorylated Gsk3α/β (pGsk3α/β at Ser21/Ser9) and phosphorylated Akt1 (pAkt1 at Ser473) expressions in the brains of WT and Akt1 female mice in Experiment 2B. (A) Quantitative results (mean + SEM) of Gsk3α and Gsk3β expression in the brains of WT and Akt1 female mice after lithium or vehicle injection. Representative Western blot images of Gsk3α (51 kDa), Gsk3β (46 kDa), and GAPDH (37 kDa). (B) Quantitative results (mean + SEM) of pGsk3α (Ser21) and pGsk3β (Ser9) expression in the brains of WT and Akt1 female mice after lithium or vehicle injection. Representative Western blot images of pGsk3α (Ser21, 51 kDa), pGsk3β (Ser9, 46 kDa), and GAPDH (37 kDa). (C) Quantitative results (mean + SEM) of Akt1 and pAkt1 (Ser473) expression in the brains of WT and Akt1 female mice after lithium or vehicle injection. Representative Western blot images of Akt1 (60 kDa), pAkt1 (Ser473, 60 kDa), and GAPDH (37 kDa). n = 5 per group, *p < 0.05.
Figure 3The effect of lithium on the amelioration of AKT1/2 inhibitor-induced neuronal defects on neurite length (mean + SEM) was confirmed in P19 cells and primary hippocampal cell cultures in Experiment 3. (A) A panel of representative images of GFP (green; for transfected cells)-stained P19 cells and Tuj1 (red; for differentiated neurons)-positive P19 cells treated with either vehicle, AKT1/2 inhibitor, or AKT1/2 inhibitor + lithium. (B) Neither AKT1/2 inhibitor nor lithium had any significant effect on the proportion of differentiated neuron-like cells from P19 cells (Tuj1 + GFP/GFP). Tuj1 is a neuronal marker for Ascl1-induced differentiation of P19 cells into neuron-like cells. GFP is a transfection marker. (C) In P19 cells, AKT1/2 inhibitor induced a reduction in neurite length, which was alleviated by 1.0 mM lithium. (D) A panel of representative bright-field microscopy images of primary cultures of hippocampal neurons treated with either vehicle, AKT1/2 inhibitor, or AKT1/2 inhibitor + lithium. (E) The effective dose of lithium on the amelioration of AKT1/2 inhibitor-induced decrease in neurite length was further evaluated in primary hippocampal cell cultures. *p < 0.05.