The effect of Holder pasteurization on the lipid and metabolite composition of human milk
Description
The data set includes MS and MSMS data collected from the analysis of 39 human milk (HM) samples using targeted dynamic iterated DDA of (pre)annotated metabolic features using a reference database (HMDB) and untargeted iterated DDA split into several m/z intervals. 15 HM samples (labelled as "LM") were raw milk samples from mothers of preterm infants and 12 HM samples (labelled as "LMD") were from the Human Milk Bank and were analyzed before ("Pre") and after ("Post") Holder pasteurization. MS data sets: 2 blanks and a set of QCs (5 and 4 in ESI(+) and ESI(-), respectively) were injected at the beginning of the sequence for system conditioning and MS2 data acquisition. Then, the sample batch including 39 milk samples, 10 QCs (1 QC every 6 samples and 2 at the beginning and at the end of the samples) and 2 blanks (end of sample batch) were analyzed (B_Synergi_pos_and_neg*). In addition, after the sample batch, MS2 spectra were also acquired in consecutive QC replicates using untargeted iterated DDA in the [70-200], [200-300], [300-400], [400-500], [500-6000], [600-700], [700-800], [800-900], [900-1200] and [1200-1500] Da ranges (i-DDA). For the ESI(-), the acquisition in the m/z interval [1200-1500] failed and hence data was not available. Peak table generation was carried out using XCMS software. The centWave method was used for peak detection with the following parameters: mass accuracy, 15 ppm; peak width, (5,20); snthresh, 6; prefilter, (3,100); noise, 0; minimum difference for overlapping peaks: 0.01 Da; intensity weighted m/z values of each feature were calculated using the wMean function; Peak limits used for integration: Mexican hat filtered data. RT correction was carried out using the “obiwarp” method. Peak grouping was carried out using the “density” method using mzwid = 0.015, bw = 5 and minFraction = 0.5. Missing data points were filled by reintegrating the raw data files in the regions of the missing peaks using the fillPeaks method. The CAMERA package was used for the identification of pseudospectra based on peak shape analysis, isotopic information and intensity correlation across samples. Raw MSMS data (.D) was converted into .ms2 and .mgf format using ProteoWizard. ms2 data was directly imported into MATLAB (Synergi_ms2_data_pos_and_neg data structures). *Contains dataset objects and PLS-Toolbox (Eigenvector Research Inc.) for their inspection is required. Funding Sources This work was supported by the Instituto de Salud Carlos III, Spain [grant numbers CD19/00176 and CP16/00034 ]; the Ministry of Science and Innovation, Spain [grant number IJC2018-036209-I ], Generalitat Valenciana [project number GV/2021/186 ], and the European Union's Horizon 2020 Research and Innovation Programme through the Nutrishield project (https://nutrishield-project.eu/) [Grant Agreement No 818110 ].
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Steps to reproduce
Sample preparation: Human milk (HM) samples thawed at room temperature and then heated in a water bath for 10 min at 33 °C. 5 μL of an internal standard (IS) solution containing oleic acid-D9 (80 μM) and prostaglandin F2α-D4 (39 μM) in H2O to 45 μL of HM. A single-phase extraction procedure adding 175 μL of CH3OH and 175 μL of MTBE to each HM sample followed by a 4 fold dilution of the supernatant with a CH3OH:MTBE (1:1, v/v) solution. Blank extract prepared following the steps described for HM samples but replacing HM with water. Quality control (QC) sample prepared by mixing 20 μL of each HM sample extract. Batch design: 2 blanks and a set of QCs (5 and 4 in ESI(+) and ESI(-), respectively) injected at the beginning of the sequence for system conditioning and MS2 data acquisition. Then, sample batch including 39 milk samples, 10 QCs (1 QC every 6 samples and 2 at the beginning and at the end of the samples) and 2 blanks (end of sample batch). Sample analysis: LC-MS analysis: 1290 Infinity system (Agilent Tech.) equipped with a SynergiTM Hydro-RP 80Å LC C18 column (150 x 2 mm, 4 µm, Phenomenex). Stepwise gradient: solvent A (H2O, 0.1% v/v HCOOH); solvent B (CH3CN, 0.1% v/v/ HCOOH); 1% B held for 2 min followed by a linear gradient from 1 to 80% B in 8 min and from 80 to 98% B in 0.1 min; 98% B held for 1.9 min before returning to initial conditions in 0.1 min and column equilibration with 1% B during 2.9 min. Flow rate: 0.4 mL/min. Column and autosampler to 40 and 4 °C, respectively. Injection volume: 3 µL. Before UPLC-QqTOF-MS experiments a system suitability check was carried out by analyzing a 2 μM IS solution. MS detection: ESI+ and ESI- modes. Full scan MS data between 70 and 1500 m/z. Ionization parameters: gas T, 200 °C; drying gas, 14 L/min; nebulizer, 37 psi; sheath gas T, 350 °C; sheath gas flow, 11 L/min. MS spectra recalibration (ESI+): 149.02332 (background contaminant), 121.050873 (purine), and 922.009798 (HP-0921) m/z. MS spectra recalibration (ESI-): 119.036 (purine) and 980.0163 ([HP-0921+CH3COOH-H]-) m/z. MS2 data acquisition: centroid mode (5 Hz) in the extended dynamic range mode (2 GHz). Collision energy: 20 V, medium isolation window (~4 amu). MS2 fragmentation with automated selection of 5 precursor ions per cycle, and an exclusion window of 0.15 min after 2 consecutive selections of the same precursor. (i) Untargeted iterated DDA: MS2 spectra acquired in consecutive QC replicates using untargeted DDA in the [70-200], [200-400], [400-600], [600-800], [800-1000], [1000-1250], and [1250-1500] Da ranges (i-DDA); (iii) targeted dynamic iterated DDA: MS2 spectra acquired by automated selection of precursor ions using an inclusion list generated during system conditioning (xcms-DDA). LCMS features were added to the inclusion list if the ratio between the minimum values in QCs and the maximum value in blanks was higher than 6. Data acquisition: MassHunter Workstation (version B.07.00) (Agilent).