Summary of Study ST002560
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001652. The data can be accessed directly via it's Project DOI: 10.21228/M85D90 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002560 |
| Study Title | Hydroxylated acylcarnitines as potential biomarkers for VLCADD newborn patients in Saudi Arabia |
| Study Summary | Very long acylcarnitine dehydrogenase deficiency (VLCADD) is an inherited metabolic disorder related to fatty acid β-oxidation. It is characterized by genetic mutations in ACADVL gene and accumulations of acylcarnitines. VLCADD can be developed in the neonatal period or during adulthood. Certain diagnostic approaches are used to confirm the diagnosis of VLCADD including genetic sequencing and newborn bloodspot screening (NBS). The last two approaches have shown some limitations such as VUS with genetic sequencing and false positive or negative results in NBS. Therefore, there are demands for additional diagnostic tools for VLCADD. Since VLCADD is associated with disrupted metabolism, untargeted metabolomics, which is an analytical technique used to detect a large-scale profiling of metabolites in biological samples, could be a useful tool for diagnosis. We hypothesized that VLCADD newborns patients may exhibit a unique metabolic profile and biomarkers compared to healthy newborns. Untargeted metabolomics approach was conducted using liquid chromatography-mass spectrometry (LC-MS) to measure the global metabolites in DBS cards collected from VLCADD newborns (n=15) and healthy controls (n=15). Metabolite extraction was performed and followed by LC-MS analysis. Multivariate and univariate analyses were used to analyze the metabolomics data, and pathway and biomarker analyses were also performed on the significantly endogenous identified metabolites. A moderate T-test was used for statistical analysis with no correction, and the cutoff was (p-value ≤ 0.05 and Fold Change 1.5). VLCADD newborns had 2012 significantly dysregulated metabolites compared to healthy newborns. 58 endogenous metabolites were upregulated while 148 endogenous metabolites were downregulated. Pathway analyses showed phenylalanine, tyrosine, and tryptophan biosynthesis as the most affected pathway. Potential metabolic biomarker for VLCADD was 3,4-dihydroxytetradecanoylcarnitine with an area under the curve (AUC) of 1, was in the top-15 biomarker list with the highest p-value and FC, suggesting its high possibility to be used for diagnosis. However, validation experiments of the biomarker is needed in following-up studies to ensure its accuracy and reliability to be used as a VLCADD marker in the clinical practice. |
| Institute | King Faisal Specialist Hospital and Research Centre (KFSHRC) |
| Last Name | AlMalki |
| First Name | Reem |
| Address | Zahrawi Street, Al Maather, Riyadh 11211, Saudi Arabia |
| 439203044@student.ksu.edu.sa | |
| Phone | 0534045397 |
| Submit Date | 2023-04-11 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Waters) |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-05-04 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR001652 |
| Project DOI: | doi: 10.21228/M85D90 |
| Project Title: | Hydroxylated acylcarnitines as potential biomarkers for VLCADD newborn patients in Saudi Arabia |
| Project Type: | newborn screening |
| Project Summary: | Very long acylcarnitine dehydrogenase deficiency (VLCADD) is an inherited metabolic disorder related to fatty acid β-oxidation. It is characterized by genetic mutations in ACADVL gene and accumulations of acylcarnitines. VLCADD can be developed in the neonatal period or during adulthood. Certain diagnostic approaches are used to confirm the diagnosis of VLCADD including genetic sequencing and newborn bloodspot screening (NBS). The last two approaches have shown some limitations such as VUS with genetic sequencing and false positive or negative results in NBS. Therefore, there are demands for additional diagnostic tools for VLCADD. Since VLCADD is associated with disrupted metabolism, untargeted metabolomics, which is an analytical technique used to detect a large-scale profiling of metabolites in biological samples, could be a useful tool for diagnosis. We hypothesized that VLCADD newborns patients may exhibit a unique metabolic profile and biomarkers compared to healthy newborns. Untargeted metabolomics approach was conducted using liquid chromatography-mass spectrometry (LC-MS) to measure the global metabolites in DBS cards collected from VLCADD newborns (n=15) and healthy controls (n=15). Metabolite extraction was performed and followed by LC-MS analysis. Multivariate and univariate analyses were used to analyze the metabolomics data, and pathway and biomarker analyses were also performed on the significantly endogenous identified metabolites. A moderate T-test was used for statistical analysis with no correction, and the cutoff was (p-value ≤ 0.05 and Fold Change 1.5). VLCADD newborns had 2012 significantly dysregulated metabolites compared to healthy newborns. 58 endogenous metabolites were upregulated while 148 endogenous metabolites were downregulated. Pathway analyses showed phenylalanine, tyrosine, and tryptophan biosynthesis as the most affected pathway. Potential metabolic biomarker for VLCADD was 3,4-dihydroxytetradecanoylcarnitine with an area under the curve (AUC) of 1, was in the top-15 biomarker list with the highest p-value and FC, suggesting its high possibility to be used for diagnosis. However, validation experiments of the biomarker is needed in following-up studies to ensure its accuracy and reliability to be used as a VLCADD marker in the clinical practice. |
| Institute: | King Faisal Specialist Hospital and Research Centre (KFSHRC) |
| Last Name: | AlMalki |
| First Name: | Reem |
| Address: | Zahrawi Street, Al Maather, Riyadh 11211, Saudi Arabia |
| Email: | 439203044@student.ksu.edu.sa |
| Phone: | 0534045397 |
Subject:
| Subject ID: | SU002661 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Gender: | Male and female |
| Species Group: | Mammals |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Factor |
|---|---|---|
| SA257636 | DR_Rajaa_VLCAD_21730762 | VLCAD_Ctrl |
| SA257637 | DR_Rajaa_VLCAD_21753790 | VLCAD_Ctrl |
| SA257638 | DR_Rajaa_VLCAD_19534501 | VLCAD_Ctrl |
| SA257639 | DR_Rajaa_VLCAD_20975207 | VLCAD_Ctrl |
| SA257640 | DR_Rajaa_VLCAD_21608083 | VLCAD_Ctrl |
| SA257641 | DR_Rajaa_VLCAD_21390005 | VLCAD_Ctrl |
| SA257642 | DR_Rajaa_VLCAD_20830418 | VLCAD_Ctrl |
| SA257643 | DR_Rajaa_VLCAD_20839145 | VLCAD_Ctrl |
| SA257644 | DR_Rajaa_VLCAD_21369944 | VLCAD_Ctrl |
| SA257645 | DR_Rajaa_VLCAD_20851208 | VLCAD_Ctrl |
| SA257646 | DR_Rajaa_VLCAD_20864956 | VLCAD_Ctrl |
| SA257647 | DR_Rajaa_VLCAD_21442034 | VLCAD_Ctrl |
| SA257648 | DR_Rajaa_VLCAD_19534121 | VLCAD_Ctrl |
| SA257649 | DR_Rajaa_VLCAD_21741272 | VLCAD_Ctrl |
| SA257650 | DR_Rajaa_VLCAD_20462989 | VLCAD_Ctrl |
| SA257621 | DR_Rajaa_VLCAD_20431022 | VLCAD patient |
| SA257622 | DR_Rajaa_VLCAD_19338020 | VLCAD patient |
| SA257623 | DR_Rajaa_VLCAD_208488028 | VLCAD patient |
| SA257624 | DR_Rajaa_VLCAD_MOH00027348749 | VLCAD patient |
| SA257625 | DR_Rajaa_VLCAD_18453492 | VLCAD patient |
| SA257626 | DR_Rajaa_VLCAD_17993106 | VLCAD patient |
| SA257627 | DR_Rajaa_VLCAD_MOH00024983310 | VLCAD patient |
| SA257628 | DR_Rajaa_VLCAD_20431846 | VLCAD patient |
| SA257629 | DR_Rajaa_VLCAD_18816714 | VLCAD patient |
| SA257630 | DR_Rajaa_VLCAD_12719767 | VLCAD patient |
| SA257631 | DR_Rajaa_VLCAD_19538077 | VLCAD patient |
| SA257632 | DR_Rajaa_VLCAD_19451880 | VLCAD patient |
| SA257633 | DR_Rajaa_VLCAD_17600969 | VLCAD patient |
| SA257634 | DR_Rajaa_VLCAD_21307430 | VLCAD patient |
| SA257635 | DR_Rajaa_VLCAD_21329779 | VLCAD patient |
| Showing results 1 to 30 of 30 |
Collection:
| Collection ID: | CO002654 |
| Collection Summary: | Biological samples DBS samples were obtained from the metabolomics section in the Center for Genomic Medicine at King Faisal Specialist Hospital and Research Center (KFSHRC). The samples were collected from VLCADD newborns (n=15) and healthy newborns (controls) (n=15). These newborns were age- and gender-matched. The inclusion criteria for the patient group included newborns positively diagnosed with only VLCADD through the newborn screening program’s platform. For the control group, the inclusion criteria were healthy, gender-and age-match newborns. Also, newborns with less than a month were included as the average age of VLCADD newborns was 6.2 days, and healthy newborns were 5.6 days. Any DBS samples collected from newborns diagnosed with other IMD or older than a month were excluded. |
| Collection Protocol Filename: | VLCAD_biological_samples.docx |
| Sample Type: | Blood (plasma) |
Treatment:
| Treatment ID: | TR002673 |
| Treatment Summary: | No treatment |
Sample Preparation:
| Sampleprep ID: | SP002667 |
| Sampleprep Summary: | The metabolites were extracted as reported before with modification (43). In detail, one punch, a size of 3.2 mm, was collected from each DBS sample and transferred into a 96-well plate for metabolite extraction. Metabolite extraction was performed by adding 250 ul extraction solvent (20:40:40) (H2O: ACN: MeOH) to each well with agitation for 2 hours at room temperature. Subsequently, sample extracts were dried using SpeedVac (Thermo Fischer, Christ, Germany). The dried samples were reconstituted in 100 ul of 50% A: B mobile phase. (A: 0.1% Formic acid in H2O, B: 0.1% FA in 50% ACN: MeOH). Additional punches were taken for quality control (QC) from the project samples to maintain the instrument performance. |
| Sampleprep Protocol Filename: | Metabolites_Extraction.docx |
Combined analysis:
| Analysis ID | AN004219 | AN004220 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | Reversed phase | Reversed phase |
| Chromatography system | Waters Acquity | Waters Acquity |
| Column | Waters Acquity UPLC XSelect HSS C18 (100 × 2.1mm, 2.5um) | Waters Acquity UPLC XSelect HSS C18 (100 × 2.1mm, 2.5um) |
| MS Type | ESI | ESI |
| MS instrument type | QTOF | QTOF |
| MS instrument name | Waters Xevo-G2-S | Waters Xevo-G2-S |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | peak area | peak area |
Chromatography:
| Chromatography ID: | CH003129 |
| Chromatography Summary: | Metabolomics analysis was explored using the Waters Acquity UPLC system coupled with a Xevo G2-S QTOF mass spectrometer equipped with an electrospray ionization source (ESI) (43,44). In detail, the extracted metabolites were chromatographed using an ACQUITY UPLC using XSelect (100×2.1mm 2.5 μm) column (Waters Ltd., Elstree, UK), the mobile phase composed of 0.1% formic acid in dH2O as solvent A and solvent B consists of 0.1% formic acid in 50% ACN: MeOH. A gradient elution schedule was run as follows: 0-16 min 95- 5% A, 16-19 min 5% A, 19-20 min 5-95% A, 20-22 min 95- 95% A, at 300 μL/min flow rate. MS spectra were acquired under positive and negative electrospray ionization modes (ESI+, ESI-). MS conditions were as follows: source temperature was 150◦C, the desolvation temperature was 500◦C (ESI+) or 140 (ESI−), the capillary voltage was 3.20 kV (ESI+) or 3 kV (ESI−), cone voltage was 40 V, desolvation gas flow was 800.0 L/h, cone gas flow was 50 L/h. The collision energies of low and high functions were set at 0 and 10-50 V, respectively, in MSE mode. The mass spectrometer was calibrated with sodium formate in 100–1200 Da. Data were collected in continuum mode with Masslynx™ V4.1 (Waters Technologies, Milford, MA., USA) workstation. |
| Instrument Name: | Waters Acquity |
| Column Name: | Waters Acquity UPLC XSelect HSS C18 (100 × 2.1mm, 2.5um) |
| Column Temperature: | 55 |
| Flow Gradient: | 0–16 min 95%–5% A, 16–19 min 5% A, 19–20 min 5%–95% A, and 20–22 min, 95%– 95% A |
| Flow Rate: | 300 μl/min. |
| Solvent A: | 0.1% formic acid in dH2O |
| Solvent B: | 0.1% formic acid in 50% MeOH and ACN |
| Chromatography Type: | Reversed phase |
MS:
| MS ID: | MS003966 |
| Analysis ID: | AN004219 |
| Instrument Name: | Waters Xevo-G2-S |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | The DIA data were collected with a Masslynx™ V4.1 workstation in continuum mode (Waters Inc., Milford, MA, USA). The raw MS data were processed following a standard pipeline using the Progenesis QI v.3.0 software. |
| Ion Mode: | POSITIVE |
| Analysis Protocol File: | LC-MS_Metabolomics_VLCAD.docx |
| MS ID: | MS003967 |
| Analysis ID: | AN004220 |
| Instrument Name: | Waters Xevo-G2-S |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | The DIA data were collected with a Masslynx™ V4.1 workstation in continuum mode (Waters Inc., Milford, MA, USA). The raw MS data were processed following a standard pipeline using the Progenesis QI v.3.0 software. |
| Ion Mode: | NEGATIVE |
| Analysis Protocol File: | LC-MS_Metabolomics_VLCAD.docx |
