Literature DB >> 35879038

Blood Levels of Ammonia and Carnitine in Patients Treated with Valproic Acid: A Meta-analysis.

Saaya Yokoyama1, Norio Sugawara1, Kazushi Maruo2, Norio Yasui-Furukori1, Kazutaka Shimoda1.   

Abstract

Objective: Long-term valproic acid (VPA) administration is associated with adverse metabolic effects, including hyperammonemia and hypocarnitinemia. However, the pathogeneses of these adverse events remain unclear, and not enough reviews have been performed. The aim of this study was to conduct a meta-analysis of studies examining blood levels of ammonia and carnitine in patients treated with VPA.
Methods: We conducted database searches (PubMed, Web of Science) to identify studies examining blood levels of ammonia and carnitine in patients treated with VPA. A meta-analysis was performed to conduct pre- and post-VPA treatment comparisons, cross-sectional comparisons between groups with and without VPA use, and estimations of the standardized correlations between blood levels of ammonia, carnitine, and VPA.
Results: According to the cross-sectional comparisons, the blood ammonia level in the VPA group was significantly higher than that in the non-VPA group. Compared to that in the non-VPA group, the blood carnitine level in the VPA group was significantly lower. In the meta-analysis of correlation coefficients, the blood VPA level was moderately correlated with blood ammonia and blood free carnitine levels in the random effects model. Furthermore, the blood ammonia level was moderately correlated with the blood free carnitine level.
Conclusion: Although the correlation between ammonia and free carnitine levels in blood was significant, the moderate strength of the correlation does not allow clinicians to infer free carnitine levels from the results of ammonia levels. Clinicians should measure both blood ammonia and free carnitine levels, especially in patients receiving high dosages of VPA.

Entities:  

Keywords:  Acylcarnitine; Ammonia; Bipolar disorder; Free carnitine; Valproic acid

Year:  2022        PMID: 35879038      PMCID: PMC9329117          DOI: 10.9758/cpn.2022.20.3.536

Source DB:  PubMed          Journal:  Clin Psychopharmacol Neurosci        ISSN: 1738-1088            Impact factor:   3.731


INTRODUCTION

Valproic acid (VPA) is commonly used for the treatment of psychiatric or neurological diseases. The mechanism of VPA is not fully understood, although the regulation of glutamate excitatory neurotransmission and/or gamma aminobutyric acid (GABA) inhibitory neurotransmission has been postulated [1]. While VPA is usually tolerated, adverse metabolic effects, such as hypocarnitinemia as well as hyperammonemia, have been associated with long-term VPA administration [2]. Carnitine is essential for the transport of long-chain fatty acids into mitochondria for beta-oxidation. When carnitine is lacking, fatty acids accumulate and inhibit the urea cycle via multiple pathways, resulting in elevated ammonia [3,4]. A recent meta-analysis indicated that carnitine supplementation significantly reduces blood levels of ammonia [5]. Although the abovementioned mechanisms suggest that carnitine deficiency could promote VPA-induced hyperammonemia, previous studies conducted in participants receiving VPA reported inconsistent results regarding the relationship between ammonia and carnitine [2,3,6,7]. Clarifying the relationship between ammonia and carnitine could be important for clinicians to decide monitoring plans for patients taking VPA. Therefore, we conducted a meta-analysis of studies evaluating blood levels of ammonia and carnitine in patients treated with VPA. We aimed to (1) clarify the mean differences in ammonia and carnitine levels between patients with and without VPA treatment (cross-sectional comparisons), (2) describe the mean differences in ammonia and carnitine levels after VPA treatment (pre- and post-VPA comparisons), and (3) estimate the standardized correlations between blood levels of ammonia, carnitine, and VPA (meta-correlational analyses).

METHODS

Study Selection

The systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards (a protocol used to evaluate systematic reviews) [8]. Electronic databases, including PubMed and Web of Science, were initially searched using six terms. The search phrases for PubMed were “(valproic acid [ALL] OR valproate [ALL] OR divalproex [ALL]) AND carnitine [ALL])” OR “(valproic acid [ALL] OR valproate [ALL] OR divalproex [ALL]) AND (ammonia [ALL] OR hyperammonemia [ALL])”. We used comparable search terms for Web of Science. We included studies that had ≥ 10 participants with VPA use, regardless of clinical setting (inpatient, outpatient); (1) observational studies (cross-sectional, longitudinal studies), (2) randomized controlled trials, and (3) case reports. We excluded the following: (1) comments, editorials, letters; (2) studies not performed in human participants; (3) non-English publications; (4) studies including conditions likely to significantly affect the distribution of ammonia or carnitine levels (e.g., participants with valproate-induced hyperammonemic encephalopathy, carnitine palmitoyltransferase deficiency, hepatitis, or liver failure); and (6) studies including participants who used VPA for less than 1 month. Two researchers (SY and NS) independently searched the literature. After all papers had been assessed, any discrepancies in the responses were identified and discussed until consensus was reached.

Data Extraction

The following data were extracted: first author’s name, publication year, sample size, means and standard deviation (SD) values of blood ammonia and free carnitine levels in each group, and correlation coefficients between blood levels of ammonia, carnitine, and VPA among participants taking VPA (Tables 1−4) [9-54]. Subjects whose mean levels of ammonia or carnitine were more than twice as high as the upper limit of the normal range were excluded from the final analysis.
Table 1

Major characteristics of studies included for cross-sectional comparison

AuthorGroupUnitMean ± SDNumberMean ± SDNumberMean ± SDNumber
Maldonado et al. [9], 2016With VPAmg/dl105.2 ± 57.228
Without VPA61.7 ± 27.33182.1 ± 35.641
Yamamoto et al. [10], 2013With VPAmg/dl85.8 ± 42.71,826
Without VPA36.0 ± 21.144556.0 ± 28.5673
Castro-Gago et al. [11], 2010With VPAmmol/L39.8 ± 14.157
Without VPA29.5 ± 10.57529.9 ± 8.117
Agarwal et al. [12], 2009With VPAmg/dl86.4 ± 39.9100
Without VPA68.7 ± 30.1100
Hamed and Abdella [6], 2009With VPAmg/dl75.6 ± 18.060
Without VPA36.4 ± 10.840
Verrotti et al. [13], 1999With VPAmg/dl36.7 ± 12.43259.9 ± 16.328
Without VPA31.1 ± 14.72429.7 ± 12.140
Hirose et al. [14], 1998With VPAmmol/L26.0 ± 9.245
Without VPA29.4 ± 11.845
Altunbaşak et al. [15], 1997With VPAmg/dl29.8 ± 14.64432.0 ± 19.424
Without VPA21.6 ± 20.416
Thom et al. [16], 1991With VPAmmol/L32.0 ± 24.337
Without VPA21.0 ± 18.822
Beghi et al. [17], 1990With VPAmg/dl62.5 ± 40.95556.1 ± 32.654
Without VPA49.4 ± 31.35136.5 ± 24.653
Komatsu et al. [18], 1987With VPAmg/dl39.9 ± 13.6861.7 ± 24.125121.9 ± 48.631
Without VPA39.3 ± 12.51248.6 ± 13.21639.3 ± 9.913
48.1 ± 17.61768.9 ± 20.015
Kugoh et al. [19], 1986With VPAmg/dl40.5 ± 23.35356.6 ± 26.5140
Without VPA40.7 ± 15.263
Farrell et al. [20], 1986With VPAmmol/L30.2 ± 9.33134.9 ± 9.019
Without VPA29.8 ± 10.825
Ratnaike et al. [21], 1986With VPAmmol/L37.1 ± 31.82337.6 ± 21.433
Without VPA21.5 ± 7.825
Haidukewych et al. [22], 1985With VPAmg/ml0.8 ± 0.5330.6 ± 0.3270.6 ± 0.213
0.3 ± 0.2140.3 ± 0.238
Without VPA0.5 ± 0.132
Ohtani et al. [23], 1982With VPAmg/dl143.8 ± 42.414
Without VPA55.1 ± 15.01146.7 ± 72.227

Mean ± standard deviation (SD) of blood ammonia levels.

VPA, valproic acid.

Table 2

Major characteristics of studies included for cross-sectional comparison

AuthorGroupUnitMean ± SDNumberMean ± SD NumberMean ± SD Number
Qiliang et al. [24], 2018With VPAmmol/L23.9 ± 10.6299
Without VPA36.4 ± 9.4299
Maldonado et al. [9], 2016With VPAmmol/L39.8 ± 13.028
Without VPA37.8 ± 8.63150.1 ± 18.941
Cansu et al. [25], 2011With VPAmmol/L29.6 ± 7.128
Without VPA30.9 ± 10.128
Nakajima et al. [7], 2011With VPAmmol/L40.8 ± 11.02832.1 ± 8.423
Without VPA47.7 ± 9.123
Hamed and Abdella [6], 2009With VPAmmol/L25.3 ± 8.160
Without VPA40.9 ± 4.840
Anil et al. [26], 2009With VPAmmol/L16.5 ± 10.250
Without VPA44.6 ± 7.330
Zelnik et al. [27], 2008With VPAmg/ml26.9 ± 8.618
Without VPA38.5 ± 7.82437.2 ± 7.82840.4 ± 8.721
Werner et al. [28], 2007With VPAmmol/L44.4 ± 10.81641.1 ± 11.59
Without VPA48.7 ± 22.11547.9 ± 9.527
Verrotti et al. [13], 1999With VPAmmol/L28.9 ± 5.13225.7 ± 4.328
Without VPA40.9 ± 7.12442.9 ± 8.040
Castro-Gago et al. [29], 1998With VPAmmol/L25.8 ± 6.117
Without VPA34.3 ± 8.31027.8 ± 4.4549.0 ± 5.971
Hirose et al. [14], 1998With VPAmmol/L42.7 ± 9.945
Without VPA44.4 ± 9.945
Hiraoka et al. [30], 1997With VPAmmol/L35.6 ± 13.5924.6 ± 5.213
Without VPA42.7 ± 9.312
Zelnik et al. [31], 1995With VPAmmol/L29.1 ± 6.215
Without VPA38.9 ± 14.61437.2 ± 7.9840.3 ± 12.834
Riva et al. [32], 1993With VPAmmol/L35.0 ± 13.022
Without VPA48.0 ± 20.016
Hug et al. [33], 1991With VPAmmol/L27.0 ± 10.05323.2 ± 9.318
Without VPA42.5 ± 14.13224.6 ± 12.311931.4 ± 10.492
33.0 ± 8.314124.0 ± 10.71930.9 ± 11.017
38.8 ± 10.712
Thom et al. [16], 1991With VPAmmol/L30.8 ± 10.937
Without VPA39.3 ± 6.622
Opala et al. [34], 1991With VPAmmol/L29.9 ± 10.04321.4 ± 12.091
Without VPA36.7 ± 10.04336.8 ± 7.089
Matsumoto et al. [35], 1990With VPAmmol/L44.7 ± 30.1198
Without VPA53.4 ± 20.650
Beghi et al. [17], 1990With VPAmmol/L33.0 ± 11.75536.2 ± 10.454
Without VPA37.0 ± 9.45141.4 ± 8.953
Melegh et al. [36], 1990With VPAmmol/L26.1 ± 7.110
Without VPA42.7 ± 6.810
Rodriguez-Segade et al. [37], 1989With VPAmmol/L26.4 ± 8.434
Without VPA41.2 ± 11.714942.1 ± 10.02647.1 ± 7.749
Komatsu et al. [18], 1987With VPAmmol/L55.7 ± 8.61142.5 ± 9.52536.6 ± 11.525
Without VPA57.3 ± 7.7751.3 ± 13.5748.5 ± 11.226
53.2 ± 7.91252.8 ± 17.45
Melegh et al. [38], 1987With VPAmmol/L16.8 ± 5.911
Without VPA26.5 ± 7.011
Morita et al. [39], 1986With VPAmmol/L21.5 ± 7.412
Without VPA31.5 ± 7.71351.7 ± 8.832
Laub et al. [40], 1986With VPAmmol/L33.5 ± 8.021
Without VPA41.2 ± 12.02139.9 ± 9.021
Ohtani et al. [23], 1982With VPAmmol/L28.6 ± 9.714
Without VPA43.0 ± 8.61144.2 ± 63.327

Mean ± standard deviation (SD) of blood free carnitine levels.

VPA, valproic acid.

Table 3

Major characteristics of studies included for pre-post comparison

AuthorVariablesGroupUnitMean ± SDNumberMean ± SDNumber
Hamed and Abdella [6], 2009AmmoniaBefore VPAmg/dl40.7 ± 5.460
After VPA75.6 ± 18.0
Redden et al. [41], 2009AmmoniaBefore VPAmmol/L39.2193
Mean difference11.7 ± 21.3
Paganini et al. [42], 1984AmmoniaBefore VPAmg/dl39.1 ± 16.021
After VPA57.6 ± 16.0
Cansu et al. [25], 2011Free carnitineBefore VPAmmol/L32.9 ± 10.928
After VPA29.6 ± 7.1
Hamed and Abdella [6], 2009Free carnitineBefore VPAmmol/L36.9 ± 4.060
After VPA25.3 ± 8.1
Werner et al. [28], 2007Free carnitineBefore VPAmmol/L46.5 ± 8.51647.4 ± 11.79
After VPA44.4 ± 11.241.1 ± 11.5
Castro-Gago et al. [29], 1998Free carnitineBefore VPAmmol/L34.4 ± 8.517
After VPA25.8 ± 6.1
Van Wouwe [43], 1995Free carnitineBefore VPAmmol/L32.7 ± 7.313
After VPA20.9 ± 5.2
Zelnik et al. [31], 1995Free carnitineBefore VPAmmol/L37.6 ± 24.015
After VPA29.1 ± 6.2
Riva et al. [32], 1993Free carnitineBefore VPAmmol/L49.0 ± 17.022
After VPA35.0 ± 13.0

Mean ± standard deviation (SD) of blood ammonia and free carnitine levels.

VPA, valproic acid.

Table 4

Major characteristics of studies included for meta-correlational analysis

AuthorVariablesCorrelational coefficientNumber
Yokoyama et al. [20], 2020VPA, ammonia0.149Pearson182
Duman et al. [44], 2019VPA, ammonia0.207Pearson94
Maldonado et al. [9], 2016VPA, ammonia0.683Pearson28
Günaydin et al. [45], 2014VPA, ammonia0.742Spearman26
Tseng et al. [46], 2014VPA, ammonia0.210Pearson158
Sharma et al. [47], 2011VPA, ammonia0.820Spearman63
Castro-Gago et al. [11], 2010VPA, ammonia0.449Spearman57
Moreno et al. [48], 2005VPA, ammonia0.272Pearson29
Verrotti et al. [13], 1999VPA, ammonia0.410Pearson60
Altunbaşak et al. [15], 1997VPA, ammonia0.458Pearson68
Patsalos et al. [49], 1993VPA, ammonia0.080Pearson82
Kondo et al. [50], 1992VPA, ammonia−0.233Spearman53
Kugoh et al. [19], 1986VPA, ammonia0.570Pearson53
Laub [51], 1986VPA, ammonia−0.362Pearson10
Haidukewych et al. [22], 1985VPA, ammonia0.249Pearson125
Williams et al. [52], 1984VPA, ammonia0.054Pearson10
Yokoyama et al. [20], 2020VPA, free carnitine−0.194Pearson182
Maldonado et al. [9], 2016VPA, free carnitine−0.616Pearson28
Anil et al. [26], 2009VPA, free carnitine0.180Pearson50
Moreno et al. [48], 2005VPA, free carnitine−0.301Pearson29
Hirose et al. [14], 1998VPA, free carnitine−0.410Pearson45
Morita et al. [39], 1986VPA, free carnitine−0.421Pearson12
Laub [51], 1986VPA, free carnitine0.097Pearson21
Yokoyama et al. [20], 2020Ammonia, free carnitine−0.097Pearson182
Okumura et al. [4], 2019Ammonia, free carnitine−0.392Pearson49
Ando et al. [53], 2017Ammonia, free carnitine0.020Pearson37
Nakajima et al. [7], 2011Ammonia, free carnitine−0.546Spearman51
Hamed and Abdella [6], 2009Ammonia, free carnitine−0.935Pearson60
Goto et al. [54], 2008Ammonia, free carnitine−0.420Pearson60
Laub [51], 1986Ammonia, free carnitine0.013Pearson21

VPA, valproic acid.

Statistical Analysis

We calculated the mean (SD) as a one group, when there were two or more groups taking VPA in one article. Additionally, all non-VPA groups in one article were considered a single group for data synthesis purposes. For the cross-sectional comparison, we calculated the standardized mean differences (SMDs) between the groups using the metacont function in the meta package with the option for SMD (sm = “SMD”). Regarding the pre- and post-VPA comparison, most studies included only the mean and SD of each pre- and postvisit, not the mean and SD of the difference from baseline. Therefore, we calculated the mean and SD of the differences from baseline for such studies under the assumption that the correlations between pre- and postvariables were equivalent to 0.5. We calculated the mean differences from baseline visit data using the metamean function in the meta package of R software with the default settings [55]. For the meta-correlational analysis, we transformed Spearman’s correlation coefficients to Pearson’s coeffi-cients using transformation functions on the assumption that the variables followed a normal distribution after applying an adequate statistical transformation (e.g., Box-Cox transformation) [56]. We synthesized the correlations between the variables using the metacor function in the meta package with the default settings. All meta-analyses were conducted using random effect models, and the heterogeneity for each analysis result was evaluated with I-square statistic.

RESULTS

After excluding duplicates and nonrelevant studies, our search yielded 50 publications that fulfilled the inclusion criteria (Fig. 1). In the cross-sectional comparison, the blood ammonia level in the VPA group was significantly higher than that in the non-VPA group (n = 16, n = 4,821, SMD = 0.7, confidence interval [CI]: 0.5, 1.0, p < 0.01; I2 = 88%) (Fig. 2). Compared to that in the non-VPA group, the blood carnitine level in the VPA group was significantly lower (n = 26, n = 3,505, SMD = −1.1, CI: −1.4, −0.8, p < 0.01; I2 = 90%) (Fig. 3).
Fig. 1

A flow chart of the study selection process. VPA, valproic acid; CA, carnitine; NH3, ammonia.

Fig. 2

Mean difference of blood ammonia levels between with and without valproic acid (VPA) treatment. SD, standard deviation; CI, confidence interval; SMD, standardized mean difference.

Fig. 3

Mean difference of blood free carnitine levels between with and without valproic acid (VPA) treatment. SD, standard deviation; CI, confidence interval; SMD, standardized mean difference.

According to the pre- and post-VPA comparison, VPA treatment significantly increased the blood ammonia level (n = 3, n = 274, MRAW = 14.3 micromol/L, CI: 8.3, 20.4, p < 0.01; I2 = 96%) (Fig. 4) and significantly decreased the blood carnitine level (n = 7, n = 180, MRAW = −8.7 micromol/L, CI: −11.4, −5.9, p < 0.01; I2 = 79%) (Fig. 5).
Fig. 4

Mean difference of blood ammonia levels after valproic acid treatment. MRAW, raw mean; CI, confidence inter-val.

Fig. 5

Mean difference of blood free carnitine levels after valproic acid treatment. MRAW, raw mean; CI, confidence interval.

The correlation coefficient between VPA and blood ammonia level was 0.36 (CI: 0.20, 0.50) (n = 16, n = 1,098, p < 0.01; I2 = 86%) in the random effects model (Fig. 6). Under the same analytical conditions, the correlation coefficient between VPA and free carnitine in blood was −0.24 (CI: −0.43, −0.03) (n = 7, n = 367, p < 0.01; I2 = 67%) (Fig. 7), and the correlation coefficient between ammonia and free carnitine in blood was −0.44 (CI: −0.73, −0.02) (n = 7, n = 460, p < 0.01; I2 = 95%) (Fig. 8).
Fig. 6

Forest plot of standardized correlation coefficient between blood valproic acid and ammonia levels. COR, correlation; CI, confidence interval.

Fig. 7

Forest plot of standardized correlation coefficient between blood valproic acid and free carnitine levels. COR, correlation; CI, confidence interval.

Fig. 8

Forest plot of standardized correlation coefficient between blood ammonia and free carnitine levels. COR, correlation; CI, confidence interval.

DISCUSSION

To our knowledge, this is the first meta-analysis to assess the relationships between ammonia, free carnitine, and VPA. According to the pre- and post-VPA comparison and the cross-sectional comparison, VPA treatment significantly increased the blood ammonia level and decreased the blood carnitine level. The meta-correlational analysis revealed that the blood ammonia level had moderate associations with both VPA and free carnitine levels in blood. Furthermore, VPA level showed a weak correlation with free carnitine level in blood. Hyperammonemia and hypocarnitinemia are well known as adverse metabolic effects of VPA treatment [2]. Ammonia is produced by the catabolism of proteins and other nitrogenated compounds. Under physiological conditions, ammonia exists as a constituent in body fluids and is transferred to the liver for its ultimate removal as urea. It is then excreted via the kidneys. Normally, circulating ammonia levels in blood are low, at less than 50 μmol/L (85 μg/dl) [46]. VPA is mainly metabolized by uridine diphosphate glucuronosyltransferases (UGTs) in the cytosol and partially via mitochondrial beta-oxidation and cytosolic omega-oxidation. The metabolites of VPA, such as valproyl-CoA, 2-propyl-4-pentenoate (4-ene VPA), and propionate, inhibit enzymes in the urea cycle, leading to an elevated blood ammonia level [50,57,58]. VPA treatment is also known as a cause of carnitine deficiency [2]. Carnitine, which is a carrier-type molecule required for the transport and oxidation of fatty acids in mitochondria, plays an important role in energy production [59]. Free plasma carnitine levels were significantly lower in patients who took VPA than in those who did not take VPA [24,26,36]. Although the mechanism of carnitine deficiency with VPA use is controversial, inhibition of carnitine biosynthesis via a decrease in alpha-ketoglutarate might be a potential cause [60]. Despite high heterogeneity, there are no studies in which the non-VPA group had a significantly higher ammonia level than the VPA group in a cross-sectional comparison, and all studies that included pre- and post-VPA comparisons showed a significantly elevated ammonia level after VPA treatment. Regarding free carnitine levels, there were no studies in which the non-VPA group had a significantly lower free carnitine level than the VPA group in a cross-sectional comparison, and most of the studies included in the pre- and post-VPA comparison showed a significant reduction in the free carnitine level after VPA treatment. Our results confirmed the abovementioned results in the meta-analysis of both the cross-sectional and pre-and post-VPA comparisons. Even though the mechanisms of hyperammonemia and hypocarnitinemia with VPA use are controversial, our pooled analysis robustly supports concern about these adverse metabolic effects in patients with long-term VPA use. In the meta-correlational analysis, both ammonia and free carnitine levels in blood showed a significant association with blood VPA level. Although our results had significant heterogeneity, there were no studies showing a significantly negative correlation between VPA and ammonia and a significantly positive correlation between VPA and free carnitine. Blood level-dependent relationships might indicate dose-dependent relationships in clinical settings. Clinicians should be aware of hyperammonemia and hypocarnitinemia, especially in patients receiving high-dose VPA treatment. Our results also demonstrated a significant correlation between ammonia and free carnitine levels in blood. Although carnitine deficiency can promote VPA-induced hyperammonemia via inhibition of the urea cycle [3,4], the clinical implications of our findings should be interpreted with caution due to the moderate effect size of the observed correlation. Patients with hyperammonemia do not necessarily have hypocarnitinemia. Carnitine is synthesized endogenously from two essential amino acids, lysine and methionine, and is also obtained primarily by the ingestion of meat and dairy products. Dietary intake of carnitine could affect blood levels, even after VPA treatment. Clinicians prescribing VPA should monitor both blood ammonia and free carnitine levels. Our findings should be interpreted with caution due to several limitations of this meta-analysis. First, considerable heterogeneity, indicating variations in relationships among studies, may have affected our results, although we employed random effects models throughout the analyses to conservatively estimate the relationships. The effect size of the observed relationships should be interpreted with caution. Second, the analyses were based on a limited number of studies and subjects due to stringent inclusion/exclusion criteria. Nonetheless, the comprehensive search of two electronic databases may have limited the risk of reporting bias. Third, several potential confounding factors, such as age, reason for VPA treatment, dietary intake of carnitine, and use of other antiepileptics, were not included in our analyses. Indeed, it is important to note that meat and dairy products are sources of carnitine. Future studies assessing the effects of potential confounders on blood levels of ammonia and carnitine in patients treated with VPA are needed. This was the first meta-analysis to assess the relationships between ammonia and free carnitine and VPA. In line with previous findings, VPA treatment was associated with both hyperammonemia and hypocarnitinemia in a blood level-dependent manner. Although the correlation between ammonia and free carnitine levels in blood was significant, the moderate strength of the correlation does not allow clinicians to infer free carnitine levels from the results of ammonia levels. Clinicians should measure both blood ammonia and free carnitine levels, especially in patients receiving high dosages of VPA.
  58 in total

1.  Preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement and publication bias.

Authors:  Karsten Knobloch; Uzung Yoon; Peter M Vogt
Journal:  J Craniomaxillofac Surg       Date:  2010-12-09       Impact factor: 2.078

2.  Blood ammonia levels in epileptic children on 2 dose ranges of valproic acid monotherapy: a cross-sectional study.

Authors:  Suvasini Sharma; Sheffali Gulati; Madhulika Kabra; Veena Kalra; Suman Vasisht; Yogender Kumar Gupta
Journal:  J Child Neurol       Date:  2010-10-04       Impact factor: 1.987

3.  Inhibition of carnitine biosynthesis by valproic acid in rats--the biochemical mechanism of inhibition.

Authors:  V Farkas; I Bock; J Cseko; A Sandor
Journal:  Biochem Pharmacol       Date:  1996-11-08       Impact factor: 5.858

4.  Nutritional influence on serum ammonia in young patients receiving sodium valproate.

Authors:  M C Laub
Journal:  Epilepsia       Date:  1986 Jan-Feb       Impact factor: 5.864

5.  Reduced carnitine and antiepileptic drugs: cause relationship or co-existence?

Authors:  N Zelnik; I Fridkis; N Gruener
Journal:  Acta Paediatr       Date:  1995-01       Impact factor: 2.299

6.  Evaluation of valproate effects on acylcarnitine in epileptic children by LC-MS/MS.

Authors:  Yoko Nakajima; Tetsuya Ito; Yasuhiro Maeda; Sayaka Ichiki; Satoru Kobayashi; Naoki Ando; Mohamed Hamed Hussein; Yukihisa Kurono; Naruji Sugiyama; Hajime Togari
Journal:  Brain Dev       Date:  2010-12-31       Impact factor: 1.961

7.  Valproic acid-induced hyperammonemia in mentally retarded adults.

Authors:  C A Williams; S Tiefenbach; J W McReynolds
Journal:  Neurology       Date:  1984-04       Impact factor: 9.910

8.  Serum biotinidase activity in children treated with valproic acid and carbamazepine.

Authors:  Manuel Castro-Gago; Carmen Gómez-Lado; Jesús Eirís-Puñal; Isabel Díaz-Mayo; Daisy E Castiñeiras-Ramos
Journal:  J Child Neurol       Date:  2009-05-20       Impact factor: 1.987

9.  Hyperammonemia and hepatic status during valproate therapy.

Authors:  Rachna Agarwal; Sangeeta Sharma; Neelam Chhillar; Kiran Bala; Neeraj Singh; C B Tripathi
Journal:  Indian J Clin Biochem       Date:  2009-12-30

10.  Association between the blood concentrations of ammonia and carnitine/amino acid of schizophrenic patients treated with valproic acid.

Authors:  Masazumi Ando; Hideaki Amayasu; Takahiro Itai; Hisahiro Yoshida
Journal:  Biopsychosoc Med       Date:  2017-07-05
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