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Background: Diamond-Blackfan anemia (DBA) is a rare inherited bone marrow failure syndrome (IBMFS) marked by erythroid hypoplasia, reticulocytopenia and macrocytosis, and associated with congenital malformations and an increased risk of developing malignancies. From a clinical and molecular perspective this disease is highly heterogeneous, and no clear genotype-phenotype correlations can be found. Since the majority of molecular defects have been found in ribosomal protein (RP) genes, DBA is regarded a "ribosomopathy". While the molecular basis has been studied intensively, the pathophysiology of DBA is still not fully understood. One of the major unresolved issues is how RP gene mutations result in the specific erythroid defect seen in DBA, with macrocytic erythrocytes and increased adenosine deaminase activity. In addition, the highly heterogeneous and variable clinical presentation and disease course, even in patients with similar molecular defects, remains enigmatic. Hence, in order to investigate the cellular defect, and increase our understanding of disease pathophysiology and clinical heterogeneity, novel tools are needed. In this study, we explore the potential of untargeted metabolomics on dried blood spots and report for the first time a metabolic fingerprint for DBA. Aims: Defining a metabolic signature for DBA in order to: 1. Increase our understanding of cellular determinants of impaired ribosome biogenesis, and 2. Extend the toolbox for diagnostic evaluation. Methods: Untargeted metabolic profiling was performed on DBS samples obtained from 18 DBA patients and 45 healthy controls using direct infusion high resolution mass spectrometry following a previously established approach1. Statistical analysis was performed in MetaboAnalyst and predictive modeling was executed within R-software. Results: In total, 1917 unique metabolite features were identified in DBS samples from patients and controls. Multivariate analysis yielded distinct metabolic profiles, reflected by natural separation detected by principal component analysis (Figure 1A), and emphasized by clear distinction with partial least square discriminant analysis (Figure 1B). This 'metabolic fingerprint' was incorporated into a machine learning algorithm, and subsequently a binary classification (or prediction) model was constructed by randomly dividing patient and controls into 'training' (32 HC, 13 DBA) or 'test' set (13 HC, 5 DBA). Accurate class assignment was achieved for all patients and controls in the training set (Figure 1C). Prominent metabolites in the fingerprint and classification algorithm were a.o. menadione (a vitamin K precursor), 4-hydroxyproline (collagen component) and methylmalonylcarnitine (an acylcarnitine). In addition a large number of interesting metabolites were identified that could provide novel starting points for studying/understanding downstream effects of RP defects in DBA and therapeutic mechanisms (Figure 1D). Conclusion: In this study we performed untargeted metabolomics on dried blood spots from a substantial cohort of DBA patients and report for the first time a metabolic fingerprint of this disease. By incorporating this fingerprint in a machine learning algorithm we underlined the diagnostic potential of this approach. Moreover, the metabolites identified in this fingerprint, provide promising starting points for further studies to increase our insights in disease pathophysiology, including the mechanism involved in elevated eADA activity, as well as the development of new therapeutic strategies. References: 1. de Sain-van der Velden MGM, van der Ham M, Gerrits J, et al. Quantification of metabolites in dried blood spots by direct infusion high resolution mass spectrometry. Anal Chim Acta. 2017;979:45-50. Disclosures Wijk: Agios Pharmaceuticals Inc.: Research Funding; RR mechatronics: Research Funding.

Metabolomics studies aiming to find biomarkers frequently make use of historical or multicenter cohorts. These samples often have different pre-analytical conditions that potentially affect metabolite concentrations. We studied the effect of different storage conditions on the stability of small-molecule metabolites in cerebrospinal fluid to aid a reliable interpretation of metabolomics data. Three cerebrospinal fluid pools were prepared from surplus samples from the Amsterdam Dementia Cohort biobank. Aliquoted pools were exposed to different storage conditions to assess the temperature and freeze/thaw stability before final storage at &minus, 80 &deg, C: storage up to four months at &minus, 20 &deg, C and up to one week at either 5&ndash, 8 &deg, C or 18&ndash, 22 &deg, C and exposure to up to seven freeze/thaw cycles. Direct-infusion high-resolution mass spectrometry was performed, resulting in the identification of 1852 m/z peaks. To test the storage stability, principal component analyses, repeated measures analysis of variance, Kruskal‒Wallis tests, and fold change analyses were performed, all demonstrating that small-molecule metabolites in the cerebrospinal fluid (CSF) are relatively unaffected by 1‒3 freeze/thaw cycles, by storage at &minus, C up to two months, by storage at 5&ndash, C for up to 72 h, or by storage at 18&ndash, C for up to 8 h. This suggests that these differences do not affect the interpretation of potential small-molecule biomarkers in multicenter or historical cohorts and implies that these cohorts are suitable for biomarker studies.

Background NGLY1-CDDG is a congenital disorder of deglycosylation caused by a defective peptide:N-glycanase (PNG). To date, all but one of the reported patients have been diagnosed through whole-exome or whole-genome sequencing, as no biochemical marker was available to identify this disease in patients. Recently, a potential urinary biomarker was reported, but the data presented suggest that this marker may be excreted intermittently. Methods In this study, we performed untargeted direct-infusion high-resolution mass spectrometry metabolomics in seven dried blood spots (DBS) from four recently diagnosed NGLY1-CDDG patients, to test for small-molecule biomarkers, in order to identify a potential diagnostic marker. Results were compared to 125 DBS of healthy controls and to 238 DBS of patients with other diseases. Results We identified aspartylglycosamine as the only significantly increased compound with a median Z-score of 4.8 (range: 3.8–8.5) in DBS of NGLY1-CDDG patients, compared to a median Z-score of −0.1 (range: −2.1–4.0) in DBS of healthy controls and patients with other diseases. Discussion The increase of aspartylglycosamine can be explained by lack of function of PNG. PNG catalyzes the cleavage of the proximal N-acetylglucosamine residue of an N-glycan from the asparagine residue of a protein, a step in the degradation of misfolded glycoproteins. PNG deficiency results in a single N-acetylglucosamine residue left attached to the asparagine residue which results in free aspartylglycosamine when the glycoprotein is degraded. Thus, we here identified aspartylglycosamine as the first potential small-molecule biomarker in DBS for NGLY1-CDDG, making a biochemical diagnosis for NGLY1-CDDG potentially feasible.

The reversible oxidation of l-malate to oxaloacetate is catalyzed by NAD(H)-dependent malate dehydrogenase (MDH). MDH plays essential roles in the malate–aspartate shuttle and the tricarboxylic acid cycle. These metabolic processes are important in mitochondrial NADH supply for oxidative phosphorylation. Recently, bi-allelic mutations in mitochondrial MDH2 were identified in patients with global developmental delay, epilepsy and lactic acidosis. We now report two patients from an extended consanguineous family with a deleterious variant in the cytosolic isoenzyme of MDH (MDH1). The homozygous missense variant in the NAD+-binding domain of MDH1 led to severely diminished MDH protein expression. The patients presented with global developmental delay, epilepsy and progressive microcephaly. Both patients had normal concentrations of plasma amino acids, acylcarnitines, lactate, and urine organic acids. To identify the metabolic consequences of MDH1 deficiency, untargeted metabolomics was performed on dried blood spots (DBS) from the patients and in MDH1 knockout HEK293 cells that were generated by Crispr/Cas9. Increased levels of glutamate and glycerol-3-phosphate were found in DBS of both patients. In MDH1 KO HEK293 cells, increased levels of glycerol-3-phosphate were also observed, as well as increased levels of aspartate and decreased levels of fumarate. The consistent finding of increased concentrations of glycerol-3-phosphate may represent a compensatory mechanism to enhance cytosolic oxidation of NADH by the glycerol-P-shuttle. In conclusion, MDH1 deficiency is a new metabolic defect in the malate–aspartate shuttle characterized by a severe neurodevelopmental phenotype with elevated concentrations of glycerol-3-phosphate as a potential biomarker.

Dravet syndrome is caused by dominant loss-of-function mutations in SCN1A which cause reduced activity of Nav1.1 leading to lack of neuronal inhibition. On the other hand, gain-of-function mutations in SCN8A can lead to a severe epileptic encephalopathy subtype by over activating NaV1.6 channels. These observations suggest that Nav1.1 and Nav1.6 represent two opposing sides of the neuronal balance between inhibition and activation. Here, we hypothesize that Dravet syndrome may be treated by either enhancing Nav1.1 or reducing Nav1.6 activity. To test this hypothesis we generated and characterized a novel DS zebrafish model and tested new compounds that selectively activate or inhibit the human NaV1.1 or NaV1.6 channel respectively. We used CRISPR/Cas9 to generate two separate Scn1Lab knockout lines as an alternative to previous knock-down models. Using an optimized locomotor assay, spontaneous burst movements were detected that were unique to Scn1Lab knockouts and disappear when introducing human SCN1A mRNA. Besides the behavioral phenotype, Scn1Lab knockouts show sudden, electrical discharges in the brain that indicate epileptic seizures in zebrafish. Scn1Lab knockouts showed increased sensitivity to the convulsant pentylenetetrazole and a reduction in whole organism GABA levels. Drug screenings further validated a Dravet syndrome phenotype. We tested the NaV1.1 activator AA43279 and our newly synthesized NaV1.6 inhibitors MV1369 and MV1312 in the Scn1Lab knockouts. Both type of compounds significantly reduced the number of burst movements. Our results show that selective inhibition of NaV1.6 could be just as efficient as selective activation of NaV1.1 and these approaches could prove to be novel potential treatment strategies for Dravet syndrome and other (genetic) epilepsies. Compounds tested in zebrafish however, should always be further validated in other model systems, preferably human derived.

Background Pyridoxal 5′-phosphate (PLP) is the active form of vitamin B6. Mammals cannot synthesize vitamin B6, so they rely on dietary uptake of the different B6 forms, and via the B6 salvage pathway they interconvert them into PLP. Humans possess three enzymes in this pathway: pyridoxal kinase, pyridox(am)ine phosphate oxidase and pyridoxal phosphatase. Besides these, a fourth enzyme has been described in plants and yeast but not in humans: pyridoxal reductase. Methods We analysed B6 vitamers in remnant CSF samples of PLP-treated patients and four mammalian cell lines (HepG2, Caco2, HEK293 and Neuro-2a) supplemented with PL as the sole source of vitamin B6. Results Strong accumulation of pyridoxine (PN) in CSF of PLP-treated patients was observed, suggesting the existence of a PN-forming enzyme. Our in vitro studies show that all cell lines reduce PL to PN in a time- and dose-dependent manner. We compared the amino acid sequences of known PL reductases to human sequences and found high homology for members of the voltage-gated potassium channel beta subunits and the human aldose reductases. Pharmacological inhibition and knockout of these proteins show that none of the candidates is solely responsible for PL reduction to PN. Conclusions We show evidence for the presence of PL reductase activity in humans. Further studies are needed to identify the responsible protein. General significance This study expands the number of enzymes with a role in B6 salvage pathway. We hypothesize a protective role of PL reductase(s) by limiting the intracellular amount of free PL and PLP.

Phenotypic and biochemical categorization of humans with detrimental variants can provide valuable information on gene function. We illustrate this with the identification of two different homozygous variants resulting in enzymatic loss-of-function in LDHD, encoding lactate dehydrogenase D, in two unrelated patients with elevated D-lactate urinary excretion and plasma concentrations. We establish the role of LDHD by demonstrating that LDHD loss-of-function in zebrafish results in increased concentrations of D-lactate. D-lactate levels are rescued by wildtype LDHD but not by patients’ variant LDHD, confirming these variants’ loss-of-function effect. This work provides the first in vivo evidence that LDHD is responsible for human D-lactate metabolism. This broadens the differential diagnosis of D-lactic acidosis, an increasingly recognized complication of short bowel syndrome with unpredictable onset and severity. With the expanding incidence of intestinal resection for disease or obesity, the elucidation of this metabolic pathway may have relevance for those patients with D-lactic acidosis., D-lactic acidosis typically occurs in the context of short bowel syndrome; excess D-lactate is produced by intestinal bacteria. Here, the authors identify two point mutations in the human lactate dehydrogenase D (LDHD) gene that cause enzymatic loss of function and are associated with elevated plasma D-lactate.

BACKGROUND: Focal seizures with fear as a primary ictal manifestation, their diagnostic challenges, and impact on quality of life are well described in human medicine. Reports focusing on ictal fear-like behavior in animals are scarce. OBJECTIVE: To describe the clinical and histopathological characteristics of a novel focal epilepsy in Boerboel dogs. ANIMALS: Five client-owned Boerboel littermates presented for evaluation of sudden episodes of severe fear-related behavior. METHODS: Clinical examination, complete blood cell count, routine blood biochemistry, and urinalysis were performed in all dogs. Magnetic resonance imaging (MRI) scans of the brain were performed in 3 affected Boerboels. In addition, in 2 affected Boerboels, metabolic screening, cerebrospinal fluid (CSF) analysis, and necropsy were performed. RESULTS: Onset of signs was 3 months of age in all affected Boerboels. All Boerboels howled loudly, had an extremely fearful facial expression and trembled during seizures. All affected Boerboels also had autonomic or motor signs. Results of laboratory investigations, diagnostic imaging, and metabolic screening were generally unremarkable. Histopathology showed moderate numbers of single large vacuoles in the perikaryon of neurons throughout the brain, specifically in the deeper cerebral cortical regions. Family history, pedigree analysis, and the homogenous phenotype were suggestive of autosomal recessive inheritance. CONCLUSIONS AND CLINICAL IMPORTANCE: The observed paroxysmal fear-related behavior represents a newly recognized hereditary focal epilepsy in dogs with distinctive clinical and histopathologic features. Veterinarians should be aware that sudden episodes of unusual behavior can represent focal epilepsy.

Despite realizing increased survival rates for propionic acidemia (PA) and methylmalonic acidemia (MMA) patients, the current therapeutic regimen is inadequate for preventing or treating the devastating complications that still can occur. The elucidation of pathophysiology of these complications allows us to evaluate and rethink treatment strategies. In this review we display and discuss potential therapy targets and we give a systematic overview on current, experimental and unexplored treatment strategies in order to provide insight in what we have to offer PA and MMA patients, now and in the future. Evidence on the effectiveness of treatment strategies is often scarce, since none were tested in randomized clinical trials. This raises concerns, since even the current consensus on best practice treatment for PA and MMA is not without controversy. To attain substantial improvements in overall outcome, gene, mRNA or enzyme replacement therapy is most promising since permanent reduction of toxic metabolites allows for a less strict therapeutic regime. Hereby, both mitochondrial-associated and therapy induced complications can theoretically be prevented. However, the road from bench to bedside is long, as it is challenging to design a drug that is delivered to the mitochondria of all tissues that require enzymatic activity, including the brain, without inducing any off-target effects. To improve survival rate and quality of life of PA and MMA patients, there is a need for systematic (re-)evaluation of accepted and potential treatment strategies, so that we can better determine who will benefit when and how from which treatment strategy.

Munc13 proteins are essential regulators of neurotransmitter release at nerve cell synapses. They mediate the priming step that renders synaptic vesicles fusion-competent, and their genetic elimination causes a complete block of synaptic transmission. Here we have described a patient displaying a disorder characterized by a dyskinetic movement disorder, developmental delay, and autism. Using whole-exome sequencing, we have shown that this condition is associated with a rare, de novo Pro814Leu variant in the major human Munc13 paralog UNC13A (also known as Munc13-1). Electrophysiological studies in murine neuronal cultures and functional analyses in Caenorhabditis elegans revealed that the UNC13A variant causes a distinct dominant gain of function that is characterized by increased fusion propensity of synaptic vesicles, which leads to increased initial synaptic vesicle release probability and abnormal short-term synaptic plasticity. Our study underscores the critical importance of fine-tuned presynaptic control in normal brain function. Further, it adds the neuronal Munc13 proteins and the synaptic vesicle priming process that they control to the known etiological mechanisms of psychiatric and neurological synaptopathies.

BACKGROUND: Recent decades have unravelled the molecular background of a number of inborn errors of metabolism (IEM) causing vitamin B6-dependent epilepsy. As these defects interfere with vitamin B6 metabolism by different mechanisms, the plasma vitamin B6 profile can give important clues for further molecular work-up. This has so far been investigated in only a small number of patients. METHODS: We evaluated the vitamin B6 vitamers pyridoxal 5'-phosphate (PLP), pyridoxal (PL), pyridoxamine (PM), pyridoxine (PN) and the catabolite pyridoxic acid (PA) in the so far largest patient cohort: reference (n = 50); pyridox(am)ine 5'-phosphate oxidase (PNPO) deficiency (n = 6); antiquitin (ATQ) deficiency (n = 21); tissue non-specific alkaline phosphatase (TNSALP) deficiency (n = 2) and epileptic encephalopathy (EE) of unknown etiology tested negative for ATQ and PNPO deficiency (n = 64). RESULTS: High plasma PM concentration was found in all patients with PNPO deficiency irrespective of vitamin B6 supplementation. Their PM concentration and the PM/PA ratio was significantly higher (p

Item does not contain fulltext Cerebrospinal fluid (CSF) levels of d-serine were recently reported as a potential new biomarker for Alzheimer's disease (AD), showing a perfect distinction between AD patients and healthy controls. In this study, we aimed to confirm these results and extend these previous findings to dementia with Lewy bodies and frontotemporal dementia. d-Serine levels in CSF of 29 AD patients, 8 dementia with Lewy bodies patients, 14 frontotemporal dementia patients, and 28 nondemented controls were measured using ultra-high-performance liquid chromatography-tandem mass spectrometry. In contrast to previous findings, in our study CSF d-serine levels were only slightly increased in AD patients compared with controls. CSF d-serine in AD did not differ from other dementias and was also not correlated to mini-mental state examination-scores. Owing to the large overlap of d-serine levels, we conclude that CSF d-serine is neither a suitable biomarker for AD nor for cognitive decline.

In metabolic diagnostics, there is an emerging need for a comprehensive test to acquire a complete view of metabolite status. Here, we describe a non-quantitative direct-infusion high-resolution mass spectrometry (DI-HRMS) based metabolomics method and evaluate the method for both dried blood spots (DBS) and plasma. 110 DBS of 42 patients harboring 23 different inborn errors of metabolism (IEM) and 86 plasma samples of 38 patients harboring 21 different IEM were analyzed using DI-HRMS. A peak calling pipeline developed in R programming language provided Z-scores for ~1875 mass peaks corresponding to ~3835 metabolite annotations (including isomers) per sample. Based on metabolite Z-scores, patients were assigned a &lsquo, most probable diagnosis&rsquo, by an investigator blinded for the known diagnoses of the patients. Based on DBS sample analysis, 37/42 of the patients, corresponding to 22/23 IEM, could be correctly assigned a &lsquo, Plasma sample analysis, resulted in a correct &lsquo, in 32/38 of the patients, corresponding to 19/21 IEM. The added clinical value of the method was illustrated by a case wherein DI-HRMS metabolomics aided interpretation of a variant of unknown significance (VUS) identified by whole-exome sequencing. In summary, non-quantitative DI-HRMS metabolomics in DBS and plasma is a very consistent, high-throughput and nonselective method for investigating the metabolome in genetic disease.

Dravet syndrome is caused by dominant loss-of-function mutations in SCN1A which cause reduced activity of Nav1.1 leading to lack of neuronal inhibition. On the other hand, gain-of-function mutations in SCN8A can lead to a severe epileptic encephalopathy subtype by over activating NaV1.6 channels. These observations suggest that Nav1.1 and Nav1.6 represent two opposing sides of the neuronal balance between inhibition and activation. Here, we hypothesize that Dravet syndrome may be treated by either enhancing Nav1.1 or reducing Nav1.6 activity. To test this hypothesis we generated and characterized a novel DS zebrafish model and tested new compounds that selectively activate or inhibit the human NaV1.1 or NaV1.6 channel respectively. We used CRISPR/Cas9 to generate two separate Scn1Lab knockout lines as an alternative to previous zebrafish models generated by random mutagenesis or morpholino oligomers. Using an optimized locomotor assay, spontaneous burst movements were detected that were unique to Scn1Lab knockouts and disappear when introducing human SCN1A mRNA. Besides the behavioral phenotype, Scn1Lab knockouts show sudden, electrical discharges in the brain that indicate epileptic seizures in zebrafish. Scn1Lab knockouts showed increased sensitivity to the GABA antagonist pentylenetetrazole and a reduction in whole organism GABA levels. Drug screenings further validated a Dravet syndrome phenotype. We tested the NaV1.1 activator AA43279 and two novel NaV1.6 inhibitors MV1369 and MV1312 in the Scn1Lab knockouts. Both type of compounds significantly reduced the number of spontaneous burst movements and seizure activity. Our results show that selective inhibition of NaV1.6 could be just as efficient as selective activation of NaV1.1 and these approaches could prove to be novel potential treatment strategies for Dravet syndrome and other (genetic) epilepsies. Compounds tested in zebrafish however, should always be further validated in other model systems for efficacy in mammals and to screen for potential side effects.

Introduction: Hartnup disorder is caused by a deficiency of the sodium dependent B0 AT1 neutral amino acid transporter in the proximal kidney tubules and jejunum. Biochemically, Hartnup disorder is diagnosed via amino acid excretion patterns. However, these patterns can closely resemble amino acid excretion patterns of generalized aminoaciduria, which may induce a risk for misdiagnosis and preclusion from treatment. Here we explore whether calculating a diagnostic ratio could facilitate correct discrimination of Hartnup disorder from other aminoacidurias. Methods: 27 amino acid excretion patterns from 11 patients with genetically confirmed Hartnup disorder were compared to 68 samples of 16 patients with other aminoacidurias. Amino acid fold changes were calculated by dividing the quantified excretion values over the upper limit of the age-adjusted reference value. Results: Increased excretion of amino acids is not restricted to amino acids classically related to Hartnup disorder (“Hartnup amino acids”, HAA), but also includes many other amino acids, not classically related to Hartnup disorder (“other amino acids”, OAA). The fold change ratio of HAA over OAA was 6.1 (range: 2.4–9.6) in the Hartnup cohort, versus 0.2 (range: 0.0–1.6) in the aminoaciduria cohort (p

Background High glutaminase (GLS;EC3.5.1.2) activity is an important pathophysiological phenomenon in tumorigenesis and metabolic disease. Insight into the metabolic consequences of high GLS activity contributes to the understanding of the pathophysiology of both oncogenic pathways and inborn errors of glutamate metabolism. Glutaminase catalyzes the conversion of glutamine into glutamate, thereby interconnecting many metabolic pathways. Methods We developed a HEK293-based cell-model that enables tuning of GLS activity by combining the expression of a hypermorphic GLS variant with incremental GLS inhibition. The metabolic consequences of increasing GLS activity were studied by metabolic profiling using Direct-Infusion High-Resolution Mass-Spectrometry (DI-HRMS). Results and conclusions Of 12,437 detected features [m/z], 109 features corresponding to endogenously relevant metabolites were significantly affected by high GLS activity. As expected, these included strongly decreased glutamine and increased glutamate levels. Additionally, increased levels of tricarboxylic acid (TCA) intermediates with a truncation of the TCA cycle at the level of citrate were detected as well as increased metabolites of transamination reactions, proline and ornithine synthesis and GABA metabolism. Levels of asparagine and nucleotide metabolites showed the same dependence on GLS activity as glutamine. Of the nucleotides, especially metabolites of the pyrimidine thymine metabolism were negatively impacted by high GLS activity, which is remarkable since their synthesis depend both on aspartate (product of glutamate) and glutamine levels. Metabolites of the glutathione synthesizing γ-glutamyl-cycle were either decreased or unaffected. General significance By providing a metabolic fingerprint of increasing GLS activity, this study shows the large impact of high glutaminase activity on the cellular metabolome.

The active form of vitamin B6, pyridoxal phosphate (PLP), is essential for human metabolism. The brain is dependent on vitamin B6 for its neurotransmitter balance. To obtain insight into the genetic determinants of vitamin B6 homeostasis, we conducted a genome-wide association study (GWAS) of the B6 vitamers pyridoxal (PL), PLP and the degradation product of vitamin B6, pyridoxic acid (PA). We collected a unique sample set of cerebrospinal fluid (CSF) and plasma from the same healthy human subjects of Dutch ancestry (n = 493) and included concentrations and ratios in and between these body fluids in our analysis. Based on a multivariate joint analysis of all B6 vitamers and their ratios, we identified a genome-wide significant association at a locus on chromosome 1 containing the ALPL (alkaline phosphatase) gene (minimal p = 7.89 × 10−10, rs1106357, minor allele frequency (MAF) = 0.46), previously associated with vitamin B6 levels in blood. Subjects homozygous for the minor allele showed a 1.4-times-higher ratio between PLP and PL in plasma, and even a 1.6-times-higher ratio between PLP and PL in CSF than subjects homozygous for the major allele. In addition, we observed a suggestive association with the CSF:plasma ratio of PLP on chromosome 15 (minimal p = 7.93 × 10−7, and MAF = 0.06 for rs28789220). Even though this finding is not reaching genome-wide significance, it highlights the potential of our experimental setup for studying transport and metabolism across the blood–CSF barrier. This GWAS of B6 vitamers identifies alkaline phosphatase as a key regulator in human vitamin B6 metabolism in CSF as well as plasma. Furthermore, our results demonstrate the potential of genetic studies of metabolites in plasma and CSF to elucidate biological aspects underlying metabolite generation, transport and degradation.

Synthetic aperture radar (SAR) capability to penetrate clouds and acquire data in all-weather condition makes it useful for monitoring and inventory purpose in the Indian context. SAR signal can penetrate deeper into vegetation and give information about the structure of leaves, stems and the background soil moisture content. The variation in SAR signal response due to crop structural properties and canopy moisture content from sowing to senescence stage is suitable for the utilization of microwave remote sensing for the crop type identification, growth monitoring and yield modeling. In this context, field campaigns are a very important component of the process of validating satellite-based geophysical products (LAI, biomass, soil moisture). The proposed work involves the acquisition of satellite imageries and in-synchronous crop related field measurements. As per the objectives of the project, the analysis will be performed using quad and dual-polarimetric descriptors and polarimetric target decompositions. In addition, we will try to use optical sensor data products for support., {"references":["Mandal D, Kumar V, Rao Y, Bhattacharya A, Bera S, Nanda MK. Combined Analysis of RADARSAT-2 SAR and Sentinel-2 Optical Data for Improved Monitoring of Tuber Initiation Stage of Potato. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences. 2018;XLII(5):275–279. Doi: 10.5194/ isprs-archives-XLII-5-275-2018.","Mandal D, Kumar V, Bhattacharya A, Rao YS, Siqueira P, Bera S. Sen4Rice: A Processing Chain for Differentiating Early and Late Transplanted Rice Using Time-Series Sentinel- 1 SAR data with Google Earth Engine. IEEE Geoscience and Remote Sensing Letters. 2018;15(12):1947–1951. DOI: 10.1109/LGRS.2018.2865816.","Bhuiyan HA, McNairn H, Powers J, Friesen M, Pacheco A, Jackson TJ, et al. Assessing SMAP Soil Moisture Scaling and Retrieval in the Carman (Canada) Study Site. Vadose Zone Journal. 2018;17(1). Doi: 10.2136/vzj2018.07.0132","Hariharan S, Mandal D, Tirodkar S, Kumar V, Bhattacharya A, Lopez-Sanchez JM. A Novel Phenology Based Feature Subset Selection Technique Using Random Forest for Multitemporal PolSAR Crop Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018;11(11):4244 – 4258. DOI: 10.1109/JSTARS.2018.2866407.","Arora R, Sharma S, Singh B. Late blight disease of potato and its management. Potato Journal. 2014;41(1)."]}

Purpose: Chemotherapy-resistance remains a major obstacle to effective anti-cancer treatment. We previously showed that platinum analogs cause the release of two fatty acids. These platinum-induced fatty acids (PIFAs) induced complete chemoresistance in mice, whereas co-administration of a COX-1 inhibitor, indomethacin, prevented PIFA release and significantly enhanced chemosensitivity. To assess the safety of combining indomethacin with platinum-based chemotherapy, and to explore its efficacy and associated PIFA levels, a multi-center phase I trial was conducted. Methods: The study was comprised of two arms: oxaliplatin plus capecitabine (CAPOX, arm I) and cisplatin plus gemcitabine, capecitabine or 5FU (arm II) in patients for whom these regimens were indicated as standard care. Indomethacin was escalated from 25 to 75 mg TID, using a standard 3 × 3 design per arm, and was administered orally 8 days around chemo-infusion from cycle two onwards. PIFA levels were measured before and after treatment initiation, with and without indomethacin. Results: Thirteen patients were enrolled, of which ten were evaluable for safety analyses. In arm I, no dose-limiting toxicities were observed, and all indomethacin dose levels were well-tolerated. Partial responses were observed in three patients (30%). Indomethacin lowered plasma levels of 12-S-hydroxy-5,8,10-heptadecatrienoic acid (12-S-HHT), whereas 4,7,10,13-hexadecatetraenoic acid (16:4(n-3)) levels were not affected. Only one patient was included in arm II; renal toxicity led to closure of this cohort. Conclusions: Combined indomethacin and CAPOX treatment is safe and reduces the concentrations of 12-S-HHT, which may be associated with improved chemosensitivity. The recommended phase II dose is 75 mg indomethacin TID given 8 days surrounding standard dosed CAPOX.

In the current circumstance the best test that we confront is the accumulation and upkeep of physical data when contrasted with data put away in a virtual environment. As consistently passes, we have no restrictions for the data or data we get and this is an immediate aftereffect of the propelling advancement and the need to comprehend the necessity for extra. The proposed configuration uses focal thoughts of Big Data, that is, Data warehousing, Data mining and Machine learning. Cloud is utilized to make a dispersed database for multilateral access of medical records. Show and stacking of data is done by means of a web interface, which is utilized by the doctor's facilities. The data is sent and got by means of a REST API which goes about as an arbiter between the warehouse and the front end application. The warehouse (MongoDB), which is particularly offline, is the data warehousing unit which will go about as both the operational database and the analytical database. Cloud Era will go about as the stage for change and preparing of data into clusters for data mining and machine learning algorithms. The data sets are mined and exchanged to apache Spark for the last stage, i.e., Machine Learning for reproducing germ line and somatic gene therapy. The libraries to be utilized are Spark MLlib, Tensor Flow, Theano, Keras and Scikit Learn. The prepared data is mimicked utilizing MatPlotlib as GUI library. This stage is simply non-commercial and is implied for logical experimentation and instructive purposes.