Proximity extension assay-based discovery of biomarkers for disease activity in chronic inflammatory demyelinating polyneuropathy.

BACKGROUND: Objective disease activity biomarkers are lacking in chronic inflammatory demyelinating polyneuropathy (CIDP), impacting treatment decisions in clinical care and outcomes in clinical trials. Using a proximity extension assay, we aimed to identify candidate serum protein biomarkers for disease activity in CIDP. METHOD: We collected clinical data and serum of 106 patients with CIDP. Patients starting induction treatment (n=53) and patients on maintenance treatment starting treatment withdrawal (n=40) were assessed at baseline and at 6 months (or at relapse). Patients in remission (n=13) were assessed once. Clinical disease activity was defined based on improvement or deterioration by the minimal clinically important difference on the inflammatory Rasch-built Overall Disability Scale in combination with either grip strength or the Medical Research Council sum score. Using a proximity extension assay (Olink Explore platform), 1472 protein levels were analysed in serum. Candidate proteins were selected based on fold change>0.5 or <-0.5 and p<0.05 between clinically active and inactive disease. Longitudinal changes of candidate proteins between baseline and follow-up were analysed. RESULTS: We identified 48 candidate proteins that differed between clinically active and inactive disease on cross-sectional comparison. Five of these proteins (SUGT1, IRAK4, DCTN1, 5'-nucleotidase cytosolic IIIA (NT5C3A), glutaredoxin (GLRX)) also showed longitudinal changes consistent with disease activity changes. IRAK4 was also identified in a sensitivity analysis, using another definition for disease activity. CONCLUSION: Our results indicate that IRAK4 and possibly SUGT1, DCTN1, NT5C3A and GLRX are candidate biomarkers for monitoring clinical disease activity in CIDP.

Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism.

OBJECTIVE: The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal and central congenital hypothyroidism (CH-T and CH-C, respectively) is primarily based on determination of thyroxine (T4) concentrations in dried blood spots, followed by thyroid-stimulating hormone (TSH) and thyroxine-binding globulin (TBG) measurements enabling detection of both CH-T and CH-C, with a positive predictive value (PPV) of 21%. A calculated T4/TBG ratio serves as an indirect measure for free T4. The aim of this study is to investigate whether machine learning techniques can help to improve the PPV of the algorithm without missing the positive cases that should have been detected with the current algorithm. DESIGN & METHODS: NBS data and parameters of CH patients and false-positive referrals in the period 2007-2017 and of a healthy reference population were included in the study. A random forest model was trained and tested using a stratified split and improved using synthetic minority oversampling technique (SMOTE). NBS data of 4668 newborns were included, containing 458 CH-T and 82 CH-C patients, 2332 false-positive referrals and 1670 healthy newborns. RESULTS: Variables determining identification of CH were (in order of importance) TSH, T4/TBG ratio, gestational age, TBG, T4 and age at NBS sampling. In a Receiver-Operating Characteristic (ROC) analysis on the test set, current sensitivity could be maintained, while increasing the PPV to 26%. CONCLUSIONS: Machine learning techniques have the potential to improve the PPV of the Dutch CH NBS. However, improved detection of currently missed cases is only possible with new, better predictors of especially CH-C and a better registration and inclusion of these cases in future models.

The Analysis of Platelet-Derived circRNA Repertoire as Potential Diagnostic Biomarker for Non-Small Cell Lung Cancer.

Tumor-educated Platelets (TEPs) have emerged as rich biosources of cancer-related RNA profiles in liquid biopsies applicable for cancer detection. Although human blood platelets have been found to be enriched in circular RNA (circRNA), no studies have investigated the potential of circRNA as platelet-derived biomarkers for cancer. In this proof-of-concept study, we examine whether the circRNA signature of blood platelets can be used as a liquid biopsy biomarker for the detection of non-small cell lung cancer (NSCLC). We analyzed the total RNA, extracted from the platelet samples collected from NSCLC patients and asymptomatic individuals, using RNA sequencing (RNA-Seq). Identification and quantification of known and novel circRNAs were performed using the accurate CircRNA finder suite (ACFS), followed by the differential transcript expression analysis using a modified version of our thromboSeq software. Out of 4732 detected circRNAs, we identified 411 circRNAs that are significantly (p-value < 0.05) differentially expressed between asymptomatic individuals and NSCLC patients. Using the false discovery rate (FDR) of 0.05 as cutoff, we selected the nuclear receptor-interacting protein 1 (NRIP1) circRNA (circNRIP1) as a potential biomarker candidate for further validation by reverse transcription-quantitative PCR (RT-qPCR). This analysis was performed on an independent cohort of platelet samples. The RT-qPCR results confirmed the RNA-Seq data analysis, with significant downregulation of circNRIP1 in platelets derived from NSCLC patients. Our findings suggest that circRNAs found in blood platelets may hold diagnostic biomarkers potential for the detection of NSCLC using liquid biopsies.

Circular RNA Sequencing of Maternal Platelets: A Novel Tool for the Identification of Pregnancy-Specific Biomarkers.

BACKGROUND: In the first trimester of pregnancy, the maternal platelet is directly involved in a positive feedback mechanism that facilitates invasion of the extravillous trophoblast into the maternal spiral arteries. Dysfunctional trophoblast invasion with defective deep placentation is primordial in the etiology of the "great obstetrical syndromes." METHODS: In this proof-of-concept study, using transcriptome analysis of circular RNA (circRNA) following RNA sequencing of maternal platelets, we tested whether pregnancy-specific circRNA markers could be identified in the first trimester of normal pregnancies. Differential transcript expression analysis of circRNAs, as predicted by Accurate CircRNA Finder Suite, CircRNA Identifier (version 2), and Known and Novel Isoform Explorer, was done using thromboSeq.R with variation of multiple settings. Test performance was checked for (a) de novo circRNA identification using the novel platelet-specific Plt-circR4 as a positive control, (b) complete segregation of groups (pregnant vs nonpregnant) after heat map-dendrogram clustering, (c) identification of pregnancy-specific circRNA markers at a false discovery rate (FDR) <0.05, and (d) confirmation of differentially expressed circRNA markers with an FDR <0.05 by an independent method, reverse transcription-quantitative PCR. RESULTS: Of the differentially expressed circRNAs with P values <0.05, 41 circRNAs were upregulated (logFC >2), and 52 circRNAs were downregulated (logFC less than -2) in first-trimester platelet RNA. Of these, nuclear receptor-interacting protein 1 circRNA covering exons 2 and 3 of the 5'-untranslated region was pregnancy specific with upregulation in first-trimester maternal platelets compared to nonpregnant controls. CONCLUSION: CircRNA sequencing of first-trimester maternal platelets permits the identification of novel pregnancy-specific RNA biomarkers. Future use could include the assessment of maternal and fetal well-being.

The bivariate NRIP1/ZEB2 RNA marker permits non-invasive presymptomatic screening of pre-eclampsia.

Using genome-wide transcriptome analysis by RNA sequencing of first trimester plasma RNA, we tested whether the identification of pregnancies at risk of developing pre-eclampsia with or without preterm birth or growth restriction is possible between weeks 9-14, prior to the appearance of clinical symptoms. We implemented a metaheuristic approach in the self-learning SVM algorithm for differential gene expression analysis of normal pregnancies (n = 108), affected pregnancies (n = 34) and non-pregnant controls (n = 19). Presymptomatic candidate markers for affected pregnancies were validated by RT-qPCR in first trimester samples (n = 34) from an independent cohort. PRKG1 was significantly downregulated in a subset of pregnancies with birth weights below the 10thpercentile as shared symptom. The NRIP1/ZEB2 ratio was found to be upregulated in pregnancies with pre-eclampsia or trisomy 21. Complementary quantitative analysis of both the linear and circular forms of NRIP1 permitted discrimination between pre-eclampsia and trisomy 21. Pre-eclamptic pregnancies showed an increase in linear NRIP1 compared to circular NRIP1, while trisomy 21 pregnancies did not.

The effect of maternal NODAL on STOX1 expression in extravillous trophoblasts is mediated by IGF1.

The number of molecules identified to be involved in communication between placenta and decidua is fast expanding. Previously, we showed that NODAL expressed in maternal endometrial stromal cells is able to affect NODAL and STOX1 expression in placental extravillous trophoblasts. The effect of maternal NODAL on placental NODAL expression is achieved via Activin A, while preliminary data suggests that maternal NODAL affects STOX1 expression in trophoblasts potentially via IGF1. In the current study, T-HESC endometrial stromal cells were treated with siRNAs against NODAL after which IGF1 mRNA expression was determined by quantitative RT-PCR, while IGF1 secretion was measured by ELISA. Recombinant IGF1 and inhibitors of the MAPK and PI3K/AKT pathways were added to SGHPL-5 extravillous trophoblasts after which the effects on STOX1 mRNA and STOX1 protein expression were determined. The effect of IGF1 and the MAPK and PI3K/AKT inhibitors on the invasive capacity of SGHPL-5 cells was investigated by performing invasion assays. We found that T-HESC cells treated with NODAL siRNAs showed significant upregulation of IGF1 mRNA expression and IGF1 protein secretion. Addition of IGF1 to SGHPL-5 cell media significantly upregulated STOX1 mRNA and protein expression. Using inhibitors of the PI3K/AKT and MAPK pathway showed that the effect of IGF1 on STOX1 expression is accomplished via MAPK signaling. Secondly, PI3K inhibition independently leads to reduced STOX1 expression which can be rescued by adding IGF1. IGF1 was unable to influence the invasive capacity of SGHPL-5 cells, while inhibiting the PI3K/AKT pathway did reduce the invasion of these cells. To conclude, here we show that downregulated NODAL expression in endometrial stromal cells, previously associated with pre-eclampsia like symptoms in mice, increases IGF1 secretion. Increased levels of IGF1 lead to increased expression levels of STOX1 in extravillous trophoblasts via the MAPK pathway, hereby identifying a novel signaling cascade involved in maternal-fetal communication.

Fetal genome profiling at 5 weeks of gestation after noninvasive isolation of trophoblast cells from the endocervical canal.

Single-gene mutations account for more than 6000 diseases, 10% of all pediatric hospital admissions, and 20% of infant deaths. Down syndrome and other aneuploidies occur in more than 0.2% of births worldwide and are on the rise because of advanced reproductive age. Birth defects of genetic origin can be diagnosed in utero after invasive extraction of fetal tissues. Noninvasive testing with circulating cell-free fetal DNA is limited by a low fetal DNA fraction. Both modalities are unavailable until the end of the first trimester. We have isolated intact trophoblast cells from Papanicolaou smears collected noninvasively at 5 to 19 weeks of gestation for next-generation sequencing of fetal DNA. Consecutive matched maternal, placental, and fetal samples (n = 20) were profiled by multiplex targeted DNA sequencing of 59 short tandem repeat and 94 single-nucleotide variant sites across all 24 chromosomes. The data revealed fetal DNA fractions of 85 to 99.9%, with 100% correct fetal haplotyping. This noninvasive platform has the potential to provide comprehensive fetal genomic profiling as early as 5 weeks of gestation.

Genome-Wide Identification of Epigenetic Hotspots Potentially Related to Cardiovascular Risk in Adult Women after a Complicated Pregnancy.

BACKGROUND: The physiological demands of pregnancy on the maternal cardiovascular system can catapult women into a metabolic syndrome that predisposes to atherosclerosis in later life. We sought to identify the nature of the epigenomic changes associated with the increased cardiovascular disease (CVD) risk in adult women following pre-eclampsia. FINDINGS: We assessed the genome wide epigenetic profile by methyl-C sequencing of monozygotic parous twin sister pairs discordant for a severe variant of pre-eclampsia. In the adult twin sisters at risk for CVD as a consequence of a complicated pregnancy, a set of 12 differentially methylated regions with at least 50% difference in methylation percentage and the same directional change was found to be shared between the affected twin sisters and significantly different compared to their unaffected monozygous sisters. CONCLUSION: The current epigenetic marker set will permit targeted analysis of differentially methylated regions potentially related to CVD risk in large cohorts of adult women following complicated pregnancies.

Mutations within the LINC-HELLP non-coding RNA differentially bind ribosomal and RNA splicing complexes and negatively affect trophoblast differentiation.

LINC-HELLP, showing chromosomal linkage with the pregnancy-specific HELLP syndrome in Dutch families, reduces differentiation from a proliferative to an invasive phenotype of first-trimester extravillous trophoblasts. Here we show that mutations in LINC-HELLP identified in HELLP families negatively affect this trophoblast differentiation either by inducing proliferation rate or by causing cell cycle exit as shown by a decrease in both proliferation and invasion. As LincRNAs predominantly function through interactions with proteins, we identified the directly interacting proteins using chromatin isolation by RNA purification followed by protein mass spectrometry. We found 22 proteins predominantly clustering in two functional networks, i.e. RNA splicing and the ribosome. YBX1, PCBP1, PCBP2, RPS6 and RPL7 were validated, and binding to these proteins was influenced by the HELLP mutations carried. Finally, we show that the LINC-HELLP transcript levels are significantly upregulated in plasma of women in their first trimester of pregnancy compared with non-pregnant women, whereas this upregulation seems absent in a pilot set of patients later developing pregnancy complications, indicative of its functional significance in vivo.

WISECONDOR: detection of fetal aberrations from shallow sequencing maternal plasma based on a within-sample comparison scheme.

Genetic disorders can be detected by prenatal diagnosis using Chorionic Villus Sampling, but the 1:100 chance to result in miscarriage restricts the use to fetuses that are suspected to have an aberration. Detection of trisomy 21 cases noninvasively is now possible owing to the upswing of next-generation sequencing (NGS) because a small percentage of fetal DNA is present in maternal plasma. However, detecting other trisomies and smaller aberrations can only be realized using high-coverage NGS, making it too expensive for routine practice. We present a method, WISECONDOR (WIthin-SamplE COpy Number aberration DetectOR), which detects small aberrations using low-coverage NGS. The increased detection resolution was achieved by comparing read counts within the tested sample of each genomic region with regions on other chromosomes that behave similarly in control samples. This within-sample comparison avoids the need to re-sequence control samples. WISECONDOR correctly identified all T13, T18 and T21 cases while coverages were as low as 0.15-1.66. No false positives were identified. Moreover, WISECONDOR also identified smaller aberrations, down to 20 Mb, such as del(13)(q12.3q14.3), +i(12)(p10) and i(18)(q10). This shows that prevalent fetal copy number aberrations can be detected accurately and affordably by shallow sequencing maternal plasma. WISECONDOR is available at bioinformatics.tudelft.nl/wisecondor.

Naturally occurring variation in trophoblast invasion as a source of novel (epigenetic) biomarkers.

During the first trimester of pregnancy fetal trophoblasts invade the maternal decidua, thereby remodeling the maternal spiral arteries. This process of trophoblast invasion is very similar to cancer cell invasion, with multiple signaling pathways shared between the two. Pregnancy-related diseases, e.g., pre-eclampsia, and cancer metastasis start with a decrease or increase in cellular invasion, respectively. Here, we investigate if first trimester placental explants can be used to identify epigenetic factors associated with changes in cellular invasion and their potential use as biomarkers. We show that the outgrowth potential of first trimester explants significantly correlates with promoter methylation of PRKCDBP and MMP2, two genes known to be differentially methylated in both placenta and cancer. The increase in methylation percentage of placental cells coincides with an increase in invasion potential. Subsequently, as a non-invasive marker must be detectable in blood, plasma samples of pregnant and non-pregnant women were analyzed. The MMP2 promoter showed high methylation levels in non-pregnant plasma samples, which decreased in pregnant plasma samples which also contain placental DNA. The decrease in methylated plasma DNA during pregnancy is most likely due to the fractional increase in unmethylated placental DNA. This suggests that the level of unmethylated DNA has the potential to be used as an invasion marker, where higher levels of unmethylated DNA indicate a lower invasion potential of trophoblasts. These proof of principle data provide evidence that human first trimester placental explants are an excellent ex vivo model system to identify (epigenetic) factors and thus potential biomarkers associated with changes in cellular invasion, e.g., to detect pregnancy-related diseases or cancer metastasis. To identify novel biomarkers the next step is to correlate naturally occurring variation in invasion potential to changes in (epigenetic) factors by genome-wide approaches such as massively parallel sequencing.

Adenosine triphosphate-binding cassette transporter genes up-regulation in untreated hepatocellular carcinoma is mediated by cellular microRNAs.

UNLABELLED: Adenosine triphosphate (ATP)-binding cassette (ABC) transporters are drug efflux pumps responsible for the multidrug resistance phenotype causing hepatocellular carcinoma (HCC) treatment failure. Here we studied the expression of 15 ABC transporters relevant for multidrug resistance in 19 paired HCC patient samples (16 untreated, 3 treated by chemotherapeutics). Twelve ABC transporters showed up-regulation in HCC compared with adjacent healthy liver. These include ABCA2, ABCB1, ABCB6, ABCC1, ABCC2, ABCC3, ABCC4, ABCC5, ABCC10, ABCC11, ABCC12, and ABCE1. The expression profile and function of some of these transporters have not been associated with HCC thus far. Because cellular microRNAs (miRNAs) are involved in posttranscriptional gene silencing, we hypothesized that regulation of ABC expression in HCC might be mediated by miRNAs. To study this, miRNAs were profiled and dysregulation of 90 miRNAs was shown in HCC compared with healthy liver, including up-regulation of 11 and down-regulation of 79. miRNA target sites in ABC genes were bioinformatically predicted and experimentally verified in vitro using luciferase reporter assays. In total, 13 cellular miRNAs were confirmed that target ABCA1, ABCC1, ABCC5, ABCC10, and ABCE1 genes and mediate changes in gene expression. Correlation analysis between ABC and miRNA expression in individual patients revealed an inverse relationship, providing an indication for miRNA regulation of ABC genes in HCC. CONCLUSION: Up-regulation of ABC transporters in HCC occurs prior to chemotherapeutic treatment and is associated with miRNA down-regulation. Up-regulation of five ABC genes appears to be mediated by 13 cellular miRNAs in HCC patient samples. miRNA-based gene therapy may be a novel and promising way to affect the ABC profile and overcome clinical multidrug resistance.

Decreased mRNA expression of CCL5 [RANTES] in Alzheimer's disease blood samples.

BACKGROUND: A recent study reported that an 18-analyte multiplexed plasma panel of signaling proteins differentiated Alzheimer's disease (AD) from controls. This study measured mRNA expression for nine of these promising bio-markers in 23 AD patients and 23 age- and sex-matched controls. METHODS: Total RNA was isolated from PaxGene RNA tubes. Relative mRNA expression levels of CCL5 [RANTES], CSF1, ICAM1, IGFBP6, IL1A, IL3, IL8, PDGFB and TNF were determined by Q-RT-PCR, with GAPDH as housekeeping gene. RESULTS: A panel of five markers (CCL5, CSF1, ICAM1, IL8, TNF) with detectable expression levels in all individuals differed between AD patients and controls (p interaction <0.10). Especially, the relative expression level of CCL5 was lower in AD patients than in controls (p<0.005). Across groups, levels of both CCL5 and TNF were correlated to CSF levels of τ (r=0.39, r=0.32), pτ-181 (r=0.38, r=0.33), and MMSE (r=-0.31, r=-0.33, all p<0.05). CONCLUSIONS: The measured panel, and especially CCL5, could aid in the differentiation of AD from controls.

A novel method to identify syncytiotrophoblast-derived RNA products representative of trisomy 21 placental RNA in maternal plasma.

A novel in vitro method is described wherein gene expression profiling is reflective and informative for the way how syncytiotrophoblast cells shed RNA products in vivo in maternal plasma. After controlled denudation, RNA is obtained selectively from the syncytiotrophoblast cells of trisomy 21 placentae. cDNA copies are subsequently analyzed by microarray profiling and cDNA cloning with sequencing. Given the preponderance of 5' mRNA fragments lacking a poly-A tail, the placental RNA products are amplified after polymerase A-mediated tailing by using a method originally designed for small-sized microRNAs. This approach, when combined with cDNA library or microarray expression screening, is a novel in vitro method to screen for syncytiotrophoblast-derived RNA products representative of trisomy 21 placental RNA as present in vivo in maternal plasma.

Measurement of allelic-expression ratios in trisomy 21 placentas by quencher extension of heterozygous samples identified by partially denaturing HPLC.

BACKGROUND: Measuring the allelic ratios of placental transcripts in maternal plasma permits noninvasive prenatal detection of chromosomal aneuploidy. Current methods, however, require highly specialized equipment (MALDI-TOF), limiting the widespread implementation of this powerful RNA single-nucleotide polymorphism (SNP) strategy in routine diagnostic settings. We adapted and applied the Transgenomic WAVE System and quencher extension (QEXT) for this purpose. METHODS: The expressed SNP (rs2187247) in exon 2 of the placentally expressed C21orf105 gene (chromosome 21 open reading frame 105) on chromosome 21 was tested in a trisomy 21 model system in which we obtained RNA selectively released from syncytiotrophoblasts of normal and trisomy 21 placentas during first trimester. RESULTS: In identifying heterozygous samples, we observed an exact correspondence between sequencing results and results obtained with the WAVE System. With respect to the analysis time required, the WAVE System was superior. In addition, the real-time QEXT assay (as optimized and validated with calibration standards consisting of 262-bp C21orf105 cDNA amplicons) accurately measured allele ratios after we optimized fragment purification, concentrations of input DNA and quencher label, and calculations of reporter signals. Finally, the optimized and validated QEXT assay correctly distinguished normal placentas from trisomy 21 placentas in tests of the following clinically relevant combinations: diploid homozygous (CC), diploid heterozygous (AC), triploid homozygous (AAA), and triploid heterozygous (AAC or ACC). CONCLUSION: The QEXT method, which is directly adaptable to current real-time PCR equipment, along with rapid identification of informative samples with the WAVE System, may facilitate routine implementation of the RNA-SNP assay for noninvasive aneuploidy diagnostics.

Novel biomarkers in preeclampsia.

Preeclampsia is a pregnancy-associated disease with maternal symptoms, but placental origin. Although clinical symptoms are late, systemic and maternal, the origin of preeclampsia is early, local and placental. Despite that various protein biomarkers display changed levels in maternal serum at presymptomatic stages, they lack discriminative and predictive power in individual patients. In contrast to protein markers, placental RNA analyzed in maternal plasma permits rapid screening of novel biomarkers including markers not accessible by antibody based assays. This includes transcription factors, non-coding RNA, epigenetic features, as well as genes functionally or genetically linked with preeclampsia. By reviewing genes with placental expression in the Human SymAtlas and comparison with proven qualifiers, a large set of RNA biomarkers was targeted for use in maternal plasma. These biomarkers qualify as novel RNA biomarkers for the presymptomatic detection in first trimester of pregnancy-associated diseases with placental origin and/or dysfunction such as pregnancy-induced hypertension without or with proteinuria (preeclampsia), the HELLP syndrome, and intrauterine growth restriction.

Detection of chromosome 21-encoded mRNA of placental origin in maternal plasma.

BACKGROUND: mRNA of placental origin (i.e., human placental lactogen and beta-human chorionic gonadotropin) has been demonstrated to be easily detectable in maternal plasma. We tested whether detection of chromosome 21-encoded mRNA of placental origin is possible in maternal plasma obtained during the first trimester. METHODS: Plasma samples were obtained from pregnant women between weeks 9-13 of pregnancy. RNA was isolated from 800 or 1600 microL of plasma by silica-based affinity isolation and, after on-column DNase treatment, was subjected to two-step, one-tube reverse transcription-PCR with gene specific primers. RESULTS: Three chromosome 21-encoded genes located within the Down syndrome critical region with overexpression in trisomy 21 placentas were screened for expression in early placental tissue to select their potential use for RNA based plasma screening. One of the chromosome 21-encoded genes (LOC90625) showed strong expression in first trimester placenta similar to CSH1 (human placental lactogen) and was selected for plasma analysis. The RNA isolation assay was validated with CSH1 mRNA, which could be detected in the plasma of all women tested in weeks 9-13 of pregnancy. RNA from the chromosome 21-encoded, placentally expressed gene, LOC90625, was present in maternal first-trimester plasma and could be detected in 60% of maternal plasma samples when 800 microL of plasma was used and in 100% of samples when 1600 microL of plasma was used. CONCLUSION: The detection of chromosome 21-encoded mRNA of placental origin in maternal plasma during the first trimester may allow development of plasma-RNA-based strategies for prenatal prediction of Down syndrome. LOC90625 is a candidate gene for this purpose.

Mutations in each of the five subunits of translation initiation factor eIF2B can cause leukoencephalopathy with vanishing white matter.

Leukoencephalopathy with vanishing white matter is a recently defined autosomal recessive disorder. The course is chronic progressive with additional episodes of rapid deterioration, provoked by fever and minor head trauma. A previous study showed that mutations in the genes encoding the epsilon- or the beta-subunit of the eukaryotic translation initiation factor eIF2B, a complex consisting of five subunits, cause the disease in most patients. Seven unsolved patients remained. The unsolved patients were investigated by mutation analysis of the genes encoding the alpha-, gamma-, and delta-subunit of eIF2B and the gene encoding the alpha-subunit of eIF2, because phosphorylation of this latter subunit regulates eIF2B activity. Mutations were found in the genes encoding the alpha- (1 patient), gamma- (2 patients), and delta-subunits (2 patients) of eIF2B, but no mutations were found in the gene encoding the alpha-subunit of eIF2. In 2, both less typical patients, no mutations were found. Mutations in all five genes eIF2B subunit genes can cause VWM. eIF2B is essential for the initiation of translation of RNA into protein and is involved in regulation of the process, especially under circumstances of stress, such as fever. A defect in eIF2B may explain the sensitivity to stress factors in vanishing white matter patients.