Abstract
Background
Approximately 20% of adrenoleukodystrophy (X-ALD) female carriers may develop clinical manifestations, typically consisting of progressive spastic gait, sensory deficits and bladder dysfunctions. A skewing in X Chromosome Inactivation (XCI), leading to the preferential expression of the X chromosome carrying the mutant ABCD1 allele, has been proposed as a mechanism influencing X-linked adrenoleukodystrophy (X-ALD) carrier phenotype, but reported data so far are conflicting.
Methods
To shed light into this topic we assessed the XCI pattern in peripheral blood mononuclear cells (PBMCs) of 30 X-ALD carriers. Since a frequent problem with XCI studies is the underestimation of skewing due to an incomplete sample digestion by restriction enzymes, leading to variable results, we developed a pyrosequencing assay to identify samples completely digested, on which to perform the XCI assay. Pyrosequencing was also used to quantify ABCD1 allele-specific expression. Moreover, very long-chain fatty acid (VLCFA) levels were determined in the same patients.
Results
We found severely (≥90:10) or moderately (≥75:25) skewed XCI in 23 out of 30 (77%) X-ALD carriers and proved that preferential XCI is mainly associated with the preferential expression of the mutant ABCD1 allele, irrespective of the manifestation of symptoms. The expression of mutant ABCD1 allele also correlates with plasma VLCFA concentrations.
Conclusions
Our results indicate that preferential XCI leads to the favored expression of the mutant ABCD1 allele. This emerges as a general phenomenon in X-ALD carriers not related to the presence of symptoms. Our data support the postulated growth advantage of cells with the preferential expression of the mutant ABCD1 allele, but argue against the use of XCI pattern, ABCD1 allele-specific expression pattern and VLCFA plasma concentration as biomarkers to predict the development of symptoms in X-ALD carriers.
Keywords: X-linked Adrenoleukodystrophy, X Chromosome inactivation, ABCD1, Allele-specific expression.
Background
X-linked adrenoleukodystrophy (X-ALD, OMIM#300100) encompasses a spectrum of X-linked metabolic diseases due to mutations in the ABCD1 (ATP-Binding Cassette, Subfamily D, Member 1) gene mapping to Xq28. ABCD1 encodes for an integral peroxisomal membrane protein which is hypothesized to be necessary for transferring very long-chain fatty acids (VLCFAs) or their activated metabolites into the peroxisomes, where they are degraded through the beta-oxidation pathway. Hence, X-ALD is biochemically characterized by excessive plasma and tissue accumulation of VLCFAs. It has been suggested that the consequence of the impairment of VLCFA beta-oxidation is an oxidative stress, provoking an axonal damage [1]. Although X-ALD is associated with mutations in the sole ABCD1 gene, several different phenotypes are recognized, mainly depending on age of onset, and presence and type of neurological findings. This heterogeneous spectrum comprises the development of symptoms in about 20% of female carriers, usually in their thirties [2,3]. Symptoms of female X-ALD carriers typically consist of an AMN-like phenotype (i.e. progressive spastic gait, sensory deficits and bladder dysfunction, but no adrenal insufficiency).
X Chromosome Inactivation (XCI) is the silencing of one of the two X chromosomes in mammal female cells, to ensure an equal expression of X-linked genes between the two sexes. This process takes place during early development, when, within the same nucleus, one X is transcriptionally silenced while the other remains active. Usually, the choice of which X to inactivate is random, therefore about 50% of cells express genes from the paternal-derived X chromosome, and 50% from the maternal one. Once established, the inactive state is stably maintained through cell division so that females can be considered as a "mosaic" in regards to X chromosome gene expression. Importantly, not all X-linked genes are completely silenced on the inactive X, and some of them escape inactivation, being expressed by both the active and the inactive X.
In X-linked disorders, the widely variable penetrance in female carriers can be dependent upon multiple mechanisms and can be related to the XCI pattern [4]. In a subgroup of females, XCI is preferential and results in an unbalanced expression of X-linked genes among the cells, usually favoring the expression of the wild-type allele [5,6]. The preferential expression of the mutant allele is also conceivable and could be related to the presence of symptoms.
In X-ALD female carriers, the hypothesis that the skewing of XCI, favoring the expression of the mutant ABCD1 allele in peripheral blood mononuclear cells (PMBCs), may be related to clinical symptoms is intriguing. However, conflicting results have been reported by different authors: Watkiss et al. [7] failed to find any association in 12 X-ALD female carriers, whereas Maier et al. [8], who analyzed 22 X-ALD female carriers, found that skewed XCI was related to neurological manifestation. Moreover, the question of whether the wild-type or the mutant allele is predominantly active in symptomatic female carriers remains mostly unanswered, since Maier et al. found inconsistent results in the fibroblasts of only three carriers [8].
Certainly, the demonstration of an unambiguous relation between skewed XCI in PBMCs and clinical symptoms would have important consequences on the clinical practice. Indeed, it would be a valuable parameter to early identify the subgroup of X-ALD female carriers with a higher-risk of becoming symptomatic and for whom a possible preventive therapy would be warranted [9]. With the aim of shedding light on this topic, we assessed the XCI pattern in 30 X-ALD female carriers and evaluated its relation with clinical findings. In addition, we quantitatively measured the ABCD1 allele-specific expression in our cohort of carriers, in order to establish whether the direction of XCI pattern favors the expression of the mutant or the wild-type allele. Finally, we investigated the correlations between VLCFA levels and the degree of expression of mutant ABCD1 allele in PBMCs.
Patients and methods
Patients
We studied 31 women from 14 families segregating ABCD1 mutations (Table 1). See Additional file 1, Figure S1 and Table 2 for further information.
Table 1.
Nr of family, consultants | Age (yrs) | Presence of symptoms (age at onset, yrs) | Mutations | XCI pattern | ABCD1 ASE (mut:wt) | C26 (nv) | C26/C22 (nv) | C24/C22 (nv) | |
---|---|---|---|---|---|---|---|---|---|
F1 II-3 | 67 | Yes (45) | 410G > A | W137X | 97:03 | 84:16 | 1,09 (<0,75) | 48 (<17) | 1644 (<1100) |
F1 III-2 | 34 | No | 410G > A | W137X | 91:09 | nd | 0,58 (<0,75) | 47 (<17) | 1482 (<1100) |
F2 I-2 | 61 | Yes (59) | 427C > G | P143A | 71:29 | 93:07 | 0,85 (<0,75) | 18 (<17) | 1222 (<1100) |
F2 II-1 | 38 | No | 427C > G | P143A | 85:15 | 83:17 | nd | nd | nd |
F2 II-2 | 35 | No | 427C > G | P143A | 76:24 | 77:23 | nd | nd | nd |
F3 II-2 | 73 | Yes (45) | 428C > A | P143H | 60:40 | 38:62 | 1,45 (<1,50) | 28 (<40) | 700 (<820) |
F3 III.1 | 46 | No | 428C > A | P143H | 84:16 | 84:16 | 1,53 (<1,50) | 40 (<40) | 860 (<820) |
F3 III-2 | 50 | No | 428C > A | P143H | 83:17 | 75:25 | 1,75 (<1,50) | 37 (<40) | 733 (<820) |
F4 II-3 | 75 | Yes (50) | 652C > T; 664G > T | P218S; V222L | 81:19 | 82:18 | 1,57 (<0,75) | 19 (<17) | 1680 (<1100) |
F4 III-1 | 44 | No | 652C > T; 664G > T | P218S; V222L | 83:17 | 81:19 | 2,38 (<1,50) | 53 (<40) | 1424 (<820) |
F4 III-3 | 45 | Yes (29) | 652C > T; 664G > T | P218S; V222L | 89:11 | 82:18 | 1,00 (<0,75) | 36 (<17) | 1611 (<1100) |
F5 II-1 | 55 | Yes (54) | 1202G > A | R401Q | 98:02 | 82:18 | 1,96 (<1,50) | 38 (<40) | 1031 (<820) |
F6 II-1 | 76 | Yes (58) | 1727T > C | L576P | 73:27 | 76:24 | 2,10 (<0,75) | 21 (<17) | 1039 (<1100) |
F7 I-2 | 72 | No | 1772G > A | R591Q | n/a | n/a | 1,23 (<1,5) | 16 (<40) | 798 (<820) |
F7 II-1 | 44 | Yes (34) | 1772G > A | R591Q | 96:04 | 97:03 | 2,7 (<1,50) | 56 (<40) | 957 (<820) |
F8 II-1 | 62 | Yes (40) | 1992G > A | W664X | 83:17 | 82:18 | 3,08 (<1,50) | 56 (<40) | 1132 (<820) |
F9 II-1 | 63 | No | 293C > T | S98L | 83:17 | 93:07 | 1,82 (<1,50) | 37 (<40) | 888 (<820) |
F9 II-3 | 57 | No | 293C > T | S98L | 79:21 | 75:25 | 1,99 (<1,50) | 42 (<40) | 913 (<820) |
F9 III-2 | 20 | No | 293C > T | S98L | 75:25 | 61:39 | 2,65 (<1,50) | 46 (<40) | 1149 (<820) |
F10 I-2 | 63 | No | 443A > G | N148S | 86:14 | 42:58 | 2,16 (<1,50) | 42 (<40) | 788 (<820) |
F10 II-2 | 40 | No | 443A > G | N148S | 96:04 | 84:16 | 2,17 (<1,50) | 43 (<40) | 757 (<820) |
F11 III-1 | 67 | No | 1165C > T | R389C | 52:48 | 72:28 | 0,7 (<1,50) | 13 (<40) | 572 (<820) |
F11 III-3 | 64 | No | 1165C > T | R389C | 78:22 | 34:66 | 1,1 (<1,50) | 16 (<40) | 823 (<820) |
F11 III-5 | 49 | No | 1165C > T | R389C | 98:02 | 20:80 | 1,05 (<1,50) | 16 (<40) | 848 (<820) |
F11 III-6 | 46 | No | 1165C > T | R389C | 71:29 | 74:26 | 1,30 (<1,50) | 18 (<40) | 1000 (<820) |
F11 V-1 | 26 | No | 1165C > T | R389C | 57:43 | 58:42 | 0,68 (<1,50) | 14 (<40) | 663 (<820) |
F12 I-2 | 53 | No | 1211C > A | S404X | 95:05 | 09:91 | nd | nd | nd |
F13 I-2 | 60 | No | del. ex8-10 | n/a | 76:24 | nd | nd | nd | nd |
F13 II-2 | 37 | No | del. ex8-10 | n/a | 93:07 | nd | 1,99 (<1,50) | 37 (<40) | 1040 (<820) |
F13 II-3 | 30 | No | del. ex8-10 | n/a | 99:01 | nd | nd | nd | nd |
F14 I-2 | 52 | No | del. ex7-10 | n/a | 69:31 | nd | 1,91 (<1,50) | 34 (<40) | 606 (<820) |
del, deletion; n/a, not applicable; nv, normal value; nd, not done.
Table 2.
F1 II-3 | F2 I-2 | F3 II-2 | F4 II-3 | F4 III-3 | F5 II-1 | F6 II-1 | F7 II-1 | F8 II-1 | |
---|---|---|---|---|---|---|---|---|---|
Age at evaluation (yrs) | 67 | 61 | 73 | 75 | 45 | 55 | 76 | 44 | 62 |
Age at onset | 45 | 59 | 45 | 50 | 29 | 54 | 58 | 34 | 40 |
Symptoms at onset | Difficulty to walk | Difficulty to walk and imbalance | Difficulty to walk | Difficulty to walk | Difficulty to walk & Back pain | Mild leg stiffness | Difficulty to walk | Difficulty to run | Difficulty to walk & Leg stiffness |
Gait at examination | Paraparetic & ataxic gait | Paraparetic | Paraparetic | Paraparetic | Paraparetic | Near-normal | Paraparetic | Paraparetic | Paraparetic |
Ambulation Index1 | 4 | 3 | 6 | 8 | 5 | 1 | 4 | 4 | 4 |
Muscle tone (legs)2 | Increased (++) | Increased (+) | Increased (+++) | Increased (++) | Increased (+) | Increased (+) | Increased (+) | Increased (++) | Increased (++) |
Tendon reflexes | Increased | Increased | Increased | Increased | Increased | Increased | Increased | Increased | Increased |
Plantar response | Extensor | Extensor | Extensor | Extensor | Extensor | Extensor | Bilaterally indifferent | Extensor | Extensor |
Vibration sense (legs)3 | Impaired (++) | Impaired (++) | Impaired (++) | Impaired (++) | Impaired (+) | Impaired (++) | Impaired (+) | Impaired (++) | Impaired (++) |
Bladder function | Urge-incontinence | Urge-incontinence | Urge-incontinence | Urge-incontinence | Urge-incontinence | Normal | Incontinence | Normal | Normal |
Other signs | No | Lumbar hyperlordosis | Mild upper limb ataxia | No | No | Lumbar hyperlordosis | No | Lumbar hyperlordosis | Lumbar hyperlordosis |
Brain MRI | Normal | Normal | Normal | n.d. | Normal | Normal | Cerebral atrophy | Normal | Normal |
MEPs | n.d. | Abnormal | Abnormal | n.d. | n.d. | Near-normal | Abnormal | Abnormal | Abnormal |
SSEPs | n.d. | Abnormal | Abnormal | n.d. | n.d. | Abnormal | Abnormal | Abnormal | n.d. |
VEPs | n.d. | Abnormal | Normal | n.d. | n.d. | Abnormal | n.d. | Normal | n.d. |
BAEPs | n.d. | Abnormal | Abnormal | n.d. | n.d. | Normal | n.d. | Abnormal | n.d. |
NCVs | n.d. | Normal | Normal | n.d. | Abnormal | Normal | Abnormal | Abnormal | Normal |
Serum Cortisol | Normal | n.d. | Normal | n.d. | n.d. | Normal | n.d. | Normal | n.d. |
BAEPs, brainstem auditory evoked potentials, MEPs, motor evoked potentials; MRI, magnetic resonance imaging; n.d. = not done; NCVs, nerve conduction velocities; SSEPs, somato-sensory evoked potentials; VEPs, visual evoked potentials.
1For details, see Hauser et al., 1983 [23].
2 + = mild; ++ = moderate; +++ = severe.
3 + = vibration sense decreased in feet; ++ = vibration sense absent in feet, and lowered in lower legs [24].
Mutational Analysis and Biochemical Evaluation
After the informed consent was obtained, the genomic DNA of each female was extracted from blood samples collected in potassium EDTA tubes using standard procedures. The coding sequences (exons 1-10) and intron-exon boundaries of the ABCD1 gene were analyzed for mutations by direct sequence analysis using an automated system (ABI 3130xl). The primers used are available on request. The missense unknown variants were tested in 100 healthy Italian donors by direct sequencing. Major deletions in the ABCD1 gene were detected using the SALSA MLPA kit P049 SLC6A8 - ABCD1 (MRC-Holland). Note that deletions of probe recognition sequences in males are apparently due to the absence of the probe amplification product, whereas in heterozygous females, we detect a 35-50% reduction in the relative peak area of the amplification product of that probe. However, mutations and/or polymorphisms very close to the probe ligation site may also result in a reduced relative peak area. Therefore, apparent deletions detected by a single probe require confirmation by other methods (i.e., Real Time PCR, High Resolution Melting assay, or both). VLCFAs were quantified in plasma by standard procedures [10-12]
X-Chromosome Inactivation (XCI) Assay and Pyrosequencing™ technology
The XCI pattern was assessed in DNA from white blood cells (WBCs) of 30 X-ALD carriers and 268 age-matched controls using methylation sensitive restriction enzymes, flanked by HUMARA (Androgen Receptor locus) and DXS6673E Single Tandem Repeats (STRs). PCR was performed on samples before and after enzymatic digestions, using the HpaII and HhaI enzymes (Boehringer Ingelheim, Mannheim, Germany) for HUMARA and HhaI and RsaI for DXS6673E as previously reported [13,14]. All samples were tested in duplicate and one male DNA sample was included in each experiment as a control for enzymatic digestion. PCR products were run by capillary electrophoresis and XCI values were determined in heterozygous cases using the formula previously reported [15]. The XCI pattern was defined as "moderately" skewed in the presence of an XCI ratio ≥75:25 and "severely" skewed when the XCI ratio was ≥90:10, similar to previous reports [15].
Our prior experience suggests that the skewing of XCI can be underestimated, as the cleavage of the unmethylated restriction sites can be incomplete due to partial efficiency of methyl-sensitive restriction enzymes. This phenomenon is "sample-dependent" (i.e. a single sample could be incompletely digested, even if the control male is fully digested), and may explain the high variability observed among different studies about the XCI pattern. To prevent this bias, we tested different restriction enzymes, and we used Pyrosequencing™ technology to detect the efficiency of the digestion (Additional file 2, Figure S2). Pyrosequencing allowed us to quantitatively evaluate the percentage of C/T (corresponding to methylated/unmethylated allele) in a sample. The digestion was considered complete when the percentage of residual unmethylated allele was below 5%. This procedure was performed in all samples and XCI assay was assessed only in samples showing a complete digestion.
RNA extraction and Allele-Specific Expression (ASE) Assay
The RNAs were collected using Tempus Blood RNA tubes (Applied Biosystems) and isolated using the Tempus Spin RNA Isolation kit (Applied Biosystems), according to the manufacturer's procedures. cDNAs were synthesized using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems).
To assess the allele-specific expression (ASE), ABCD1 cDNA fragments containing the mutation were amplified, and PCR products were sequenced by the PyroMark ID instrument (Qiagen) following the manufacturer's instructions, and using specific PCR and sequencing primers (Additional file 3, Table S1). The contribution of the mutant and wild-type alleles were quantitatively measured by the Pyro Mark ID software v1.0.9 (Qiagen, Chatsworth, CA), which gives the percentage ratio of each allele. The quantification is highly precise with an error estimated as ≤10%. For this reason, we considered that one allele was higher expressed than the other, when their ratio was equal or higher than 1.5 (60:40). For each sample, allele-specific expression value represents the mean of at least two independent PCR and pyrosequencing experiments.
Statistical Analyses
Fisher's exact test, Mann-Whitney Test and Spearman correlation were performed using GraphPad Prism version 5.04 for Windows, GraphPad Software, San Diego California USA.
Results
Clinical findings
We investigated 22 asymptomatic and 9 symptomatic ALD female carriers whose clinical, genetic and biochemical findings are summarized in Table 1. The clinical features of symptomatic women were similar to those previously reported, mainly characterized by spastic paraplegia, lower limb sensory disturbances, and neurogenic bladder (Table 2) [3,9]. The age at evaluation was significantly higher in the symptomatic than in asymptomatic females (62.0 ± 12.1 vs. 47.5 ± 14.1years; p = 0.0199, Mann-Whitney test). However, we did not find any significant difference between the age at onset of clinical symptoms in symptomatic carriers and the age at evaluation in the asymptomatic ones (46.0 ± 10.4 vs. 47.5 ± 14.1 years; p = 0.7276, Mann-Whitney test).
Mutational analysis
The ABCD1 mutations of the female carriers are summarized in Table 1. We found 15 different ABCD1 mutations, five of which were new, according to the X-linked Adrenoleukodystrophy Database (http://www.x-ald.nl/). Additional information about the position on ABCD1 gene are available in Additional file 4, Table S2. As one carrier (F7 I-2) was a mosaic for the c.1772G > A mutation, she was excluded from the statistical analyses.
X Chromosome Inactivation pattern
XCI analysis was performed in 30 X-ALD carriers and in 268 age-matched healthy females. As shown in Table 1, we found severely (≥90:10) skewed XCI in 30% (9/30) of X-ALD carriers and in 8.6% (23/268) controls; moderately (≥75:25) skewed XCI was found in 46.7% (14/30) carriers and in 22.4% (60/268) controls; random XCI in 23.3% (7/30) carriers and in 69% (185/268) controls. These findings indicate that the occurrence of both severe and moderate XCI skewing is significantly higher in X-ALD carriers vs. female controls (p = 0.0018 and p = 0.0065; Fisher's exact test - Table 1; Figure 1A). In contrast, we did not observe differences in XCI pattern between symptomatic and asymptomatic carriers (p = 0.6472; Mann-Whitney test - Table 1; Figure 1B). Indeed, we found severely skewed XCI in 3/9 symptomatic and 6/21 asymptomatic carriers (p = 1.00; Fisher's exact test); moderately skewed XCI in 3/9 symptomatic and 11/21 asymptomatic carriers (p = 0.4397; Fisher's exact test); random XCI in 3/9 symptomatic and 4/21 asymptomatic carriers (p = 0.6402; Fisher's exact test). The increase of age has been associated, by other studies [16,17], with a more frequent occurrence of preferential XCI but, in our population, no correlation was found between the degree of XCI of the X-ALD carriers and the age at evaluation (p = 0.1550; Spearman ρ correlation). This suggests that ABCD1 mutations may influence the XCI process, thus making the possible correlation between older age and preferential XCI irrelevant.
The overall results indicate that in X-ALD carriers the skewed XCI in PBMCs is highly frequent and not related to the manifestation of symptoms.
Allele-specific expression of ABCD1 in X-ALD carriers
ABCD1 Allele-Specific Expression (ASE) was evaluated in 25 X-ALD females carrying point mutations, as cases showing deletions or mosaicisms were not suitable for this experimental approach. As shown in Table 1, overall, we found a predominant expression (>60%) of one allele with respect to the other in 23 out of the 25 carriers. Specifically, the mutant allele was more expressed (range: 61% - 97%) than the wild-type in 19 out of 23 carriers and less expressed (range: 9% - 38%) in four out of 23 carriers. Importantly, among the 23 carriers with a predominant expression of one allele, we did not observe any difference in ASE between the symptomatic (n = 9) and the asymptomatic (n = 14) X-ALD carriers (p = 0.0938; Mann-Whitney test). Indeed, the mutant allele was predominantly expressed in 8 out of 9 symptomatic X-ALD carriers, and in 11 out of 14 asymptomatic carriers (p = 1.00; Fisher's exact test). Therefore, it is not surprising that 63 year-old patient F9 II:1 was asymptomatic, despite the predominant (93%) expression of the mutant ABCD1 allele, while 73 year-old patient F3 II:2 was symptomatic, despite the predominant (62%) expression of the wild-type ABCD1 allele. We also found that the ABCD1 ASE pattern usually mirrors the XCI pattern (i.e., their difference is <10%), probably because one allele of ABCD1 is usually silenced as result of the XCI. Representative results are shown in Figure 2. Accordingly, we observed a significant correlation between the ASE and XCI pattern (p < 0.0001, Mann-Whitney test). Overall, our ASE data show that the skewing of XCI toward the mutant ABCD1 allele is common but not constant, and that the degree of expression of the mutant ABCD1 allele is not related to the presence of symptoms.
Biochemical characterization
In our series plasma concentration of C26:0, the ratio C26:0 to C22:0, and the ratio C24:0 to C22:0 were all in the normal range in about 15% of female carriers. Interestingly, in 17 out of 22 assessable X-ALD carriers (Table 1), we observed a significant positive correlation between the degree of mutant ABCD1 expression and the plasma concentration of C26:0 (p = 0.0201; Spearman ρ correlation) or the ratio C26:0 to C22:0 (p = 0.0141). This evidence demonstrates in vivo a previous suggestion obtained by in vitro studies [18]. We note that the remaining five out of 22 assessable carriers were excluded from the statistical analysis, as the blood for the VLCFA quantification was sampled a few years before that for RNA extraction, and a different method for their biochemical evaluation was used (Table 1).
Discussion
In this study we assessed the pattern of both X Chromosome Inactivation (XCI) and ABCD1 allele-specific expression (ASE) in the peripheral blood mononuclear cells (PBMCs) of 30 female X-ALD carriers.
First, we observed, by a strictly controlled and very reproducible experimental procedure, that the skewing of XCI is significantly more common in X-ALD carriers than in healthy females, in agreement with previous findings [8].
Second, by ASE analyses, we provided the first evidence that, in X-ALD carriers, the active X chromosome is typically the chromosome carrying the mutant ABCD1 allele.
It is already known that the severity of clinical symptoms in X-linked disorders can be influenced by XCI skewing [19]. Our finding of a skewed XCI favoring the inactivation of the wild-type allele is peculiar. Indeed, the skewing of XCI seems to commonly favor the inactivation of the mutant allele, thus explaining why, in many severe X-linked disorders, female carriers may be asymptomatic and have a severely skewed XCI [5,6]. This is the case of Lesch-Nyhan syndrome, in which the cells expressing the wild-type allele of HPRT1 reproduce faster, thus gradually causing decrease of the cells in which the mutant allele is expressed [20]. Similarly, in Wiskott-Aldrich syndrome, female carriers show preferential inactivation of the mutant allele in hematopoietic cells [20]. In contrast, X-ALD had already been considered as the example of X-linked disease in which ABCD1 mutations confer a proliferative advantage rather than disadvantage, leading to XCI skewing in favor of the X chromosome with the mutation [5,6,8,18], an evidence here demonstrated in vivo. This type of skewing could be due to a somatic selection in favor of cells carrying an active mutated X chromosome, after the X-inactivation process; in turn, this positive selection might be due to a growth advantage of cells expressing the defective ABCD1 allele [18]. However, it remains enigmatic why cells expressing a mutant ABCD1 should have a growth advantage over normal cells. Reduced intracellular VLCFA β-oxidation, due to the mutant ABCD1, and the consequent change of lipid environment might be the basis for this phenomenon.
Moreover, we have investigated whether both the skewing of XCI or the preferential expression of the mutant ABCD1 allele were related to the neurological manifestations affecting a subgroup of female carriers. Our data do not support any significant correlation between neurological manifestations of X-ALD carriers and the XCI pattern or the degree of expression of the mutant ABCD1 allele. The lack of correlation between neurological manifestations and XCI pattern in PBMCs is in agreement with previous data of Watkiss et al and Jung et al [7,21], and in contrast with those of Maier et al [8]. Since XCI pattern evaluation could be biased by experimental procedures, it is conceivable that discrepancies between our results and previous results are due to the different methodologies used. Indeed, our data were obtained in a highly reproducible manner and in a cohort of X-ALD female carriers larger than those previously studied. The lack of correlation between neurological manifestations and XCI pattern or degree of expression of the mutant ABCD1 allele might be due to the tissue analyzed, as the degree of XCI or mutant ABCD1 expression might be different in the brain, which is the tissue mainly involved in X-ALD. Although XCI in brain from X-ALD carriers was not investigated, a similar XCI pattern in blood and brain has been observed [22]. To explore the maintenance of XCI pattern in another tissue we performed XCI and ASE in urinary sediment of a small subset of our patients (n = 8) and we have found that XCI and ASE pattern were similar in the two cell types (data not shown).
Finally, our data reveal a significant and causative correlation between the VCLFA plasma concentrations and the degree of mutant ABCD1 allele-specific expression in vivo. This is in agreement with previous in vitro observations by Migeon et al [18].
In conclusion, we provide evidence that: i) in X-ALD carriers the high frequency of non-random XCI usually reflects the preferential expression of the mutant ABCD1 allele, thus supporting by in vivo data the hypothesis relating to the growth advantage of cells expressing the mutant ABCD1 [18]; ii) the quantitative allele-specific expression mirrors the plasma concentration of VCLFAs; iii) unfortunately, due to the lack of correlation between XCI/ASE pattern and clinical symptoms, our results prove that these molecular values cannot be considered in clinical practice as predictive markers for the development of symptoms in X-ALD carriers.
Authors' contributions
ES and ST are the principal investigators of the study: they planned the experimental tasks and the statistical analysis plan; ES also recruited the subjects for the study. SMS designed and implemented data collection and revised the draft paper; PC designed and implemented the experiments; BC analyzed and monitored the data; CG monitored data collection and performed statistical analyses; MR implemented the data and contributed to statistical analysis; VP collected and analyzed the data; CM recruited the subjects and revised data analyses; DP participated to experimental plan and drafted and revised the paper; MM coordinated the experimental plan and analyzed the data. She critically revised the manuscript and the final approval of the version to be published. GU initiated the collaborative project, recruited the subjects for the study, obtained funding for the study, drafted and revised the paper for intellectual content; she is guarantor. All authors read and approved the final manuscript.
Supplementary Material
Contributor Information
Ettore Salsano, Email: ettore.salsano@istituto-besta.it.
Silvia Tabano, Email: silvia.tabano@unimi.it.
Silvia M Sirchia, Email: silvia.sirchia@unimi.it.
Patrizia Colapietro, Email: patrizia.colapietro@unimi.it.
Barbara Castellotti, Email: barbara.castellotti@istituto-besta.it.
Cinzia Gellera, Email: cinzia.gellera@istituto-besta.it.
Marco Rimoldi, Email: marco.rimoldi@istituto-besta.it.
Viviana Pensato, Email: viviana.pensato@istituto-besta.it.
Caterina Mariotti, Email: caterina.mariotti@istituto-besta.it.
Davide Pareyson, Email: davide.pareyson@istituto-besta.it.
Monica Miozzo, Email: monica.miozzo@unimi.it.
Graziella Uziel, Email: graziella.uziel@istituto-besta.it.
Acknowledgements
This work was partially supported by grants from FP7-HEALTH - LeukoTreat no. 241622, and from Associazione Italiana Studio Malformazioni Onlus. We thank the patients and their relatives who made their blood, DNA and RNA available for analyses, and Nutricia Italia for kindly providing the reagents needed for Pyrosequencing™ analyses.
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