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Correction

Correction: Chaby et al. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609

1
Cohen Veterans Bioscience, New York, NY 10018, USA
2
Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
3
International Agency for Research on Cancer, Nutrition and Metabolism Branch, World Health Organisation, 150 Cours Albert Thomas, CEDEX 08, 69372 Lyon, France
4
Max Planck Institute of Psychiatry, Proteomics and Biomarkers, 80804 Munich, Germany
*
Author to whom correspondence should be addressed.
Metabolites 2023, 13(8), 933; https://doi.org/10.3390/metabo13080933
Submission received: 18 July 2023 / Revised: 19 July 2023 / Accepted: 19 July 2023 / Published: 9 August 2023

Figure Legend

In the original publication [1], there was a mistake in the legend for Figure 4, a log scale for the axis has been applied to each graph to better show the included data points.
The correct legend appears below:
Figure 4. Platform-specific, log-transformed, average metabolite levels in control samples for vendors reporting absolute units; each point represents mean ± SEM for 11 control samples in total: 9 control samples from 6 individuals (with 3 technical replicates), and 2 NIST pooled reference plasma samples. Each panel depicts the range of covered metabolites, across all assays, for an exemplar metabolite class: (A) amino acids, (B) fatty acids, (C) lysophosphatidylcholines (LPC), (D) hydroxy acids, (E) ceramides, and (F) triglycerides. Depicted data are from the second sample shipment. NIST = concentrations reported in the National Institute of Standards and Technology (NIST) SRM 1950 Certificate of Analysis (COA, revised June 2020).

Error in Figure/Table

In the original publication, there was a mistake in:
1. Table 1, Table 2 and Table 3. The color coding in these tables does not match the footnote. This has been corrected.
2. Table 3. The amino acid, alanine, was omitted from the published manuscript. This is now included in the corrected table.
3. Table 3 as published. NIST standards were used for part of the study to compare the accuracy of the different measurements. In the measurement of fatty acids and cholesterol, the NIST standards reflect the total concentration of fatty acids and cholesterol. The vendors in the published manuscript were reporting free fatty acids and free cholesterol, and therefore the comparison represented in Table 3 is not valid. This discrepancy was brought to our attention after the paper was published. The fatty acid and cholesterol values and percent accuracy for Biocrates and Lipotype were removed.
4. Figure 4. Reflecting the updates from Table 3, Figure 4b has been edited and a log scale applied for all graphs in the figure to better show the included data points.
The corrected Table 1, Table 2 and Table 3 and Figure 4 appear below:
Table 1. Intra-assay Percent Coefficient of Variance (CV%) within Metabolite Classes and CV% Standard Deviation (SD) for Technical Replicates of PTSD and Control Samples in Shipment 1.
Table 1. Intra-assay Percent Coefficient of Variance (CV%) within Metabolite Classes and CV% Standard Deviation (SD) for Technical Replicates of PTSD and Control Samples in Shipment 1.
Intra-Assay Precision: Shipment 1
PTSD Average CV%Control Average CV% CountRangeSDPTSD Average CV%Control Average CV% Count SDPTSD Average CV%Control Average CV% Count SDPTSD Average CV%Control Average CV% Count SDPTSD Average CV%Control Average CV% Count SD
Metabolite ClassBiocratesHMTNightingaleLipotypeMetabolon
Acylcarnitines10.339.88142.07–76.0915.675.665.81357.43 9.038.39217.70
Amino Acids3.538.12400.87–19.013.146.856.93222.562.786.0193.76 8.849.56528.22
Amino Acid Related3.448.711.73–12.883.21
Carboxylic Acids3.857.2022.70–8.022.255.105.6282.832.996.6632.38 11.329.1310113.59
Cholesteryl ester8.4614.69183.42–48.138.44 4.2313.30136.844.634.00262.20
Diglycerides8.4612.28141.95–36.347.53 4.849.8023.384.294.00192.73
Diazines 21.0018.45321.16 15.3913.46512.60
Organonitrogen compounds 7.299.37135.02 15.5511.31412.61
Purine nucleotides 9.6916.1659.32 14.1812.48108.09
Organooxygen compounds 12.039.6367.351.046.4424.07 9.199.9068.38
Hydroxy acids and derivatives 4.046.7952.470.883.051NA 11.2811.801610.81
Keto acids and derivatives 1.625.5232.244.2926.20218.87 8.358.18134.94
Ceramides6.538.60250.59–29.335.3311.3610.4354.62 5.036.7723.067.227.10115.55
Lactosylceramide 19.9815.251313.62 10.1514.991210.36
Glucosylceramide 21.8419.551311.15
Dihexosylceramides10.309.78102.45–34.657.59
Trihexosylceramides14.1617.9464.69–43.8211.60
Dihydroceramide 19.0717.151214.73
Hexosylceramide9.5611.32191.33–27.205.81 6.288.33124.34
Triglycerides7.3313.272350.78–38.423.72 4.886.49322.461.925.96212.19
Hormones/Steroids2.536.4331.48–7.152.345.886.2894.77 8.656.18263.79
Fatty Acids8.108.1673.63–11.432.606.929.11324.9727.573.89215.39 3.583.53292.15
Fatty Acyls 28.9229.75419.76 18.1713.208312.09
Biogenic Amines4.7410.5233.19–11.693.47
Bile Acids5.847.73122.48–12.042.774.666.4747.22 11.428.94226.95
Indoles and Derivatives3.3610.4032.69–14.214.566.517.371NA 7.455.8293.97
Lysophosphatidyl-cholines (LPC)13.0511.32140.91–36.0510.663.343.71271.69 4.3814.4465.367.2810.10155.14
Glycerophosphocholines 7.097.761910.79
Phosphatidyl-cholines (PC)7.989.78731.78–67.849.56 7.9611.15635.228.125.98184.44
Sphingomyelins3.897.68151.88–11.732.64 5.798.62122.893.453.05121.79
Sphingolipids 14.2813.471210.86 6.137.7922.11
Sphinganine 6
Sphingosine 11.7612.8969.48
Glycerophospholipids 10.419.67158.70 19.6122.64716.45
Glycerolipids (Monoacylglycerol) 21.6926.952514.48
Carboximidic acids and derivatives 4.934.331NA 15.2117.34410.22
lyso-Phosphatidylethanolamine (LPE) 10.368.40227.95 8.8315.2495.245.186.3884.88
Phosphatidylcholine (-ether) (LPC-O) 13.0216.40418.64
Phosphatidylethanolamine (PE) 9.2215.06156.794.388.11126.46
Phosphatidylethanolamine (-ether) (LPE-O) 11.5415.20167.76
Phosphatidylinositol (LPI) 7.378.44146.05 8.9516.88157.6210.8318.8268.90
Lyso-Phosphatidylserine (LPS) 11.2115.8478.97
Glycerophosphoglycerols (LPG) 9.2310.92146.71
Vitamins and Cofactors1.0910.441 NA 2.375.871NA
Alkaloids4.6913.741 NA 3.862.4820.80
Amine (Oxides)6.928.231 NA 45.4612.491NA
Carbohydrates and Related2.506.331 NA 10.8114.373413.62
Cresols2.077.141 NA
Imidazopyrimidines 11.355.441NA 10.327.60178.68
5′-deoxyribonucleosides 19.8218.621NA 7.848.631NA
Nucleoside and nucleotide analogues 13.053.41NA
Pyrimidine nucleosides 1.337.941NA 9.249.5977.33
Pyridines and derivatives 6.697.90105.76
Quinolines and derivatives 11.8513.6437.42
Phenols 9.224.7935.40
Prenol lipids 17.878.7778.13
Imidazole ribonucleosides and ribonucleotides 12.175.51NA
Benzene and substituted derivatives 12.729.491410.36
Phenylpropanoic acids 6.525.8298.63
Tetrapyrroles and derivatives 3.4511.625.43
Cholesterol and derivatives 7.539.524.40
Non-metal oxoanionic compounds 2.943.1721.81
Organic sulfuric acids and derivatives 6.14.03223.49
Organic sulfonic acids and derivatives 2.475.5923.48
Organic carbonic acids and derivatives 6.339.4823.88
Organic phosphoric acids and derivatives 9.537.871NA
Benzothiazepines 2.296.1725.83
Bilirubins 9.035.4126.66
Dihydrofurans 6.943.0723.68
Alkyl halides 2.93.9821.49
Sulfinic acids and derivatives 11.1316.041NA
Azoles 11.1110.675.90
Azolidines 4.346.921NA
Cinnamic acids and derivatives 4.0713.921NA
Peptidomimetics 20.0214.521NA
Piperidines 14.8116.271NA
Pyrrolidines 4.095.481NA
Coumarins and derivatives 014.11NA
Notes: “High” precision is shown in green (≤10%), “moderate” in yellow (10% < x < 20%), and “low” in red (≥20%).
Table 2. Inter-Assay percent Coefficient of Variance (CV%) within Metabolite Classes for Technical Replicates of PTSD and Control Samples across Shipment 1 and Shipment 2.
Table 2. Inter-Assay percent Coefficient of Variance (CV%) within Metabolite Classes for Technical Replicates of PTSD and Control Samples across Shipment 1 and Shipment 2.
Inter-assay Precision: Shipment 1 vs. Shipment 2
PTSD Average CV%Control Average CV% Standard deviation (SD)PTSD Average CV%Control Average CV% Standard deviation (SD)PTSD Average CV%Control Average CV% Standard deviation (SD)PTSD Average CV%Control Average CV% Standard deviation (SD)PTSD Average CV%Control Average CV% Standard deviation (SD)
Metabolite ClassBiocratesHMTNightingaleLipotypeMetabolon
Acylcarnitines7.2111.482.7812.2112.108.64 15.2713.529.93
Amino Acids5.8811.953.579.109.794.024.807.373.48 12.8414.218.03
Amino Acid Related7.6313.906.86
Carboxylic Acids7.5413.714.0510.608.905.835.927.901.51 15.3813.9112.75
Cholesteryl ester11.7114.472.58 8.078.935.2510.168.687.77
Diglycerides17.4222.2710.62 9.1313.256.2710.9710.064.53
Diazines 16.4221.5714.04 33.2229.0524.92
Organonitrogen compounds 13.3111.508.24 14.2513.667.67
Purine nucleotides 30.0638.6418.99 11.4911.845.98
Organooxygen compounds 31.0737.0813.174.896.942.62 31.3426.8528.72
Hydroxy acids and derivatives 10.8811.106.051.883.57NA 17.7617.9012.03
Keto acids and derivatives 14.1016.662.8310.5819.499.58 15.6413.558.45
Ceramides16.0419.508.6511.3415.684.34 6.586.470.7810.107.884.44
Lactosylceramide 15.3216.798.06 16.6117.5113.28
Glucosylceramide 19.3023.439.77
Dihexosylceramides11.9917.825.18
Trihexosylceramides17.0823.394.52
Dihydroceramide 18.6321.2112.20
Hexosylceramide14.2317.726.01 11.4410.573.49
Triglycerides15.4219.357.56 8.346.672.209.37.652.61
Hormones/Steroids15.5918.549.048.0810.355.86 15.3913.535.84
Fatty Acids13.8018.437.4024.2627.3333.2953.259.3926.15 6.896.603.39
Fatty Acyls 4.214.99NA 20.9417.949.44
Biogenic Amines6.3718.7810.04
Bile Acids21.3623.5128.055.9910.4910.09 21.3620.8311.05
Indoles and Derivatives8.6015.224.59 13.1112.475.93
Lysophosphatidyl-cholines (LPC)13.2417.788.176.458.753.38 9.138.850.7717.6417.2312.98
Glycerophosphocholines 6.567.212.76
Phosphatidyl-cholines (PC)10.1114.436.97 10.2413.1810.6913.6513.9813.68
Sphingomyelins9.3412.994.28 6.167.192.096.517.584.35
Sphingolipids 20.2120.2310.83 9.9012.501.60
Sphinganine
Sphingosine 19.3419.4910.01
Glycerophospholipids 19.5122.8525.01 22.7926.9117.68
Glycerolipids (Monoacylglycerol) 35.3234.6915.53
Carboximidic acids and derivatives 23.263.55NA 12.9217.335.22
lyso-Phosphatidylethanolamine (LPE) 11.8813.8717.60 9.929.851.8922.8019.8512.54
Phosphatidylcholine (-ether) (LPC-O) 14.3515.006.39
Phosphatidylethanolamine (PE) 12.5014.706.0812.1612.168.38
Phosphatidylethanolamine (-ether) (LPE-O) 10.1411.683.76
Phosphatidylinositol (LPI) 9.8110.246.62 13.2713.277.5939.0349.6111.64
Lyso-Phosphatidylserine (LPS) 19.0020.647.74
Glycerophosphoglycerols (LPG) 12.3415.527.60
Vitamins and Cofactors7.5913.77NA 6.4413.52NA
Alkaloids 17.0546.8321.81
Amine (Oxides)6.5511.15NA 28.8424.42NA
Carbohydrates and Related6.6113.25NA 23.3122.2522.84
Cresols4.3911.88NA
Imidazopyrimidines 19.8126.4114.25
5′-deoxyribonucleosides 12.339.075.31 10.0413.25NA
Nucleoside and nucleotide analogues 44.2915.88NA
Pyrimidine nucleosides 21.4919.0615.04
Pyridines and derivatives 11.5111.755.71
Quinolines and derivatives 20.4220.8513.19
Phenols 22.0621.356.87
Prenol lipids 16.4313.546.28
Imidazole ribonucleosides and ribonucleotides 7.247.26NA
Benzene and substituted derivatives 23.3723.2613.29
Phenylpropanoic acids 17.4723.7712.32
Tetrapyrroles and derivatives 9.7317.575.40
Cholesterol and derivatives 8.278.432.92
Non-metal oxoanionic compounds 4.074.040.41
Organic sulfuric acids and derivatives 23.6425.327.37
Organic sulfonic acids and derivatives 7.0810.96.10
Organic carbonic acids and derivatives 7.6794.39
Organic phosphoric acids and derivatives 8.748.28NA
Benzothiazepines 22.9922.492.09
Bilirubins 10.3713.28NA
Dihydrofurans 10.096.842.42
Alkyl halides 7.175.972.77
Sulfinic acids and derivatives 9.5721.87NA
Azoles 17.1912.887.62
Azolidines 14.1117NA
Cinnamic acids and derivatives 48.3249.73NA
Peptidomimetics 22.7621.34NA
Piperidines 53.3663.22NA
Pyrrolidines 10.5513.2NA
Coumarins and derivatives 30.5717.89NA
Notes: “High” precision is shown in green (≤10%), “moderate” in yellow (10% < x < 20%), and “low” in red (≥20%).
Table 3. Reporting Accuracy (%) compared with NIST Metabolites in Frozen Human Plasma (SRM 1950).
Table 3. Reporting Accuracy (%) compared with NIST Metabolites in Frozen Human Plasma (SRM 1950).
Accuracy (%)BiocratesHMTNightingale
AnalyteNIST Value (uM)Reported Value (uM)Percent DifferenceReported Value (uM)Percent DifferenceReported Value (uM)Percent Difference
Fatty Acids
C18:2 n-6 (Z,Z)-9,12-Octadecadienoic Acid (Linoleic Acid)2838 29604.30%
C22:6 n-3. (Z,Z,Z,Z,Z,Z)-4,7,10,13,16,19-Docosahexaenoic Acid (DHA)118 13615.25%
Amino Acids
Alanine30033110.17%211−29.61%312.2464.08%
Glycine24528817.72%2501.97%240.87−1.69%
Histidine72.68010.08%59−18.25%70.0707−3.48%
Isoleucine55.56618.92%46−17.02%44.604−19.63%
Leucine100.411413.05%1021.25%87.7893−12.56%
Lysine1401517.73%129−7.60%
Methionine22.322−0.94%14−38.50%
Proline17719912.30%138−22.19%
Serine95.9982.14%69−27.57%
Threonine119.51276.10%92−23.08%
Tyrosine57.3616.48%49−13.95%61.83187.91%
Valine182.2174−4.40%152−16.30%185.061.57%
Arginine81.49516.45%
Cysteine44.3464.50%
Cystine7.88.02.76%
Phenylalanine 515712.54%47−8.27%53.02233.97%
Clinical Markers
Creatinine60657.69%43−28.14%58.1642−3.06%
Glucose4560 4679.412.62%
Homocysteine8.58.50.58%
Cortisol0.230.19−17.92%
Cholesterol3917 3620−7.58%
Notes: “High” accuracy is shown in green (≤10%), “moderate” in yellow (10% < x < 20%), and “low” in red (≥20%). Accuracy assessed only for vendors that reported quantitative units and not relative units; accuracy estimated using Shipment 1 data. All percent accuracy values are versus NIST COA values, such that a negative value is below the NIST-provided reference value.
Figure 4. Platform-specific, log-transformed, average metabolite levels in control samples for vendors reporting absolute units; each point represents mean ± SEM for 11 control samples in total: 9 control samples from 6 individuals (with 3 technical replicates), and 2 NIST pooled reference plasma samples. Each panel depicts the range of covered metabolites, across all assays, for an exemplar metabolite class: (A) amino acids, (B) fatty acids, (C) lysophosphatidylcholines (LPC), (D) hydroxy acids, (E) ceramides, and (F) triglycerides. Depicted data are from the second sample shipment. NIST = concentrations reported in the National Institute of Standards and Technology (NIST) SRM 1950 Certificate of Analysis (COA, revised June 2020).
Figure 4. Platform-specific, log-transformed, average metabolite levels in control samples for vendors reporting absolute units; each point represents mean ± SEM for 11 control samples in total: 9 control samples from 6 individuals (with 3 technical replicates), and 2 NIST pooled reference plasma samples. Each panel depicts the range of covered metabolites, across all assays, for an exemplar metabolite class: (A) amino acids, (B) fatty acids, (C) lysophosphatidylcholines (LPC), (D) hydroxy acids, (E) ceramides, and (F) triglycerides. Depicted data are from the second sample shipment. NIST = concentrations reported in the National Institute of Standards and Technology (NIST) SRM 1950 Certificate of Analysis (COA, revised June 2020).
Metabolites 13 00933 g004

Text Correction

There was an error in the original publication. NIST standards were used for part of the study to compare the accuracy of the different measurements. In the measurement of fatty acids and cholesterol, the NIST standards reflect the total concentration of fatty acids and cholesterol. The vendors in the published manuscript were reporting free fatty acids and free cholesterol, and therefore the comparison represented in Table 3 is not valid. This discrepancy was brought to our attention after the paper was published. The fatty acid and cholesterol values and percent accuracy for Biocrates and Lipotype were removed, and mention of these measurements was removed from the results section.
Updated links and data location information have been added to the appropriate sections.
A correction has been made to
1. Section 2.4, First Paragraph:
The accuracy of metabolite measurements, in comparison to NIST SRM 1950 pooled reference plasma reference values in the NIST certificate of analysis (COA), is provided in Table 3. Assessments of accuracy were constrained by (i) the fraction of classes represented in the NIST COA, (ii) vendor-specific coverage of metabolites, and (iii) the use of relative units which excluded Metabolon. Accuracy was evaluated for a set of amino acids listed in the NIST COA, which showed roughly similar high or moderate accuracy across plat-forms. Normalization methods informed by platform-specific normative levels could inform efforts to compare or merge datasets across metabolomics approaches. The majority of metabolites across all platforms were detected with excellent linearity across the dilution curve (i.e., coefficient of determination values near 1, suggesting that abundance is not a core obstacle in current metabolomics technologies; depicted in Supplementary Figure S1).
2. Supplementary Materials:
The following are available online at https://www.mdpi.com/article/10.3390/metabo11090609/s1, Figure S1: Linearity across the dilution curve of NIST pooled reference plasma (SRM 1950), Table S1: Metabolites and lipids implicated in posttraumatic stress disorder (PTSD) in previously published metabolomics studies, Table S2: List of samples sent to each metabolomics vendor in two identical shipments, Table S3: Metabolomics bake-off sample information.
3. Data Availability Statement:
Data and the Metabolomics Platform Exploration Tool will be made available in the BRAIN Commons, a cloud-based platform for computational discovery designed for the brain health community at https://www.braincommons.org/publications/doi-10-3390-metabo-11090609/ accessed on 28 September 2022.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Chaby, L.E.; Lasseter, H.C.; Contrepois, K.; Salek, R.M.; Turck, C.W.; Thompson, A.; Vaughan, T.; Haas, M.; Jeromin, A. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Chaby, L.E.; Lasseter, H.C.; Contrepois, K.; Salek, R.M.; Turck, C.W.; Thompson, A.; Vaughan, T.; Haas, M.; Jeromin, A. Correction: Chaby et al. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609. Metabolites 2023, 13, 933. https://doi.org/10.3390/metabo13080933

AMA Style

Chaby LE, Lasseter HC, Contrepois K, Salek RM, Turck CW, Thompson A, Vaughan T, Haas M, Jeromin A. Correction: Chaby et al. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609. Metabolites. 2023; 13(8):933. https://doi.org/10.3390/metabo13080933

Chicago/Turabian Style

Chaby, Lauren E., Heather C. Lasseter, Kévin Contrepois, Reza M. Salek, Christoph W. Turck, Andrew Thompson, Timothy Vaughan, Magali Haas, and Andreas Jeromin. 2023. "Correction: Chaby et al. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609" Metabolites 13, no. 8: 933. https://doi.org/10.3390/metabo13080933

APA Style

Chaby, L. E., Lasseter, H. C., Contrepois, K., Salek, R. M., Turck, C. W., Thompson, A., Vaughan, T., Haas, M., & Jeromin, A. (2023). Correction: Chaby et al. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609. Metabolites, 13(8), 933. https://doi.org/10.3390/metabo13080933

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