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30 protocols using analyst version 1

1

Nano-HPLC-MS/MS Peptide Separation and Identification

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5 μL of each sample, representing 50% of the sample, was directly loaded at 300 nL/min onto a New Objective PicoFrit column (15 cm × 0.075 mm I.D; Scientific Instrument Services, Ringoes, NJ) packed with Jupiter 5 μm C18 (Phenomenex, Torrance, CA) stationary phase. The peptides were eluted from the column by a gradient generated by an Agilent 1200 HPLC system (Agilent, Santa Clara, CA) equipped with a nano electrospray ion source coupled to a 5600 + Triple TOF mass spectrometer (Sciex, Concord, ON). A 65-min linear gradient of a 5–35% mixture of 0.1% formic acid injected at 300 nL/min was used to elute peptides. Data dependent acquisition mode was used in Analyst version 1.7 (Sciex) to acquire mass spectra. Full scan mass spectra (400 to 1250 m/z) were acquired and followed by collision-induced dissociation of the twenty most intense ions. A period of 20 seconds and a tolerance of 100 ppm were set for dynamic exclusion.
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2

Targeted Protein Validation by PRM-MS

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Target proteins were selected for validation by PRM analysis on a TripleTOF® 5600 + LC-MS/MS system (Sciex, USA). Protein extraction and tryptic digestion were performed as described above for the SWATH experiment. The peptides monitored for each protein were selected based on the ion signal intensities in the spectral library. A list of peptides containing m/z and retention time information was exported from Skyline and imported into the instrumental software Analyst® (version 1.7, Sciex, USA) to generate the PRM acquisition method. The PRM method was evaluated and refined to ensure reliability. Data acquisition for each sample was performed using the finalized PRM acquisition method on a quadrupole-quadrupole-time-of-flight (QqTOF) mass spectrometer (TripleTOF® 5600+ system, Sciex, USA), in which each precursor ion was selected by the quadrupole, fragmented, and then all fragmented daughter ions were quantified in the TOF mass analyzer. Data processing was performed in Skyline64 (link) (version 2.5), and the quantification results were manually inspected for each peptide of the targeted proteins.
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3

Quantification of Creatinine and 1-NMN

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Plasma and urine samples analyzed by liquid chromatography with tandem mass spectrometry were prepared by protein precipitation as described previously.27 All compounds were separated and detected using the QTRAP5500 system (AB SCIEX, Toronto, Canada) equipped with the Nexera X2 LC system (Shimadzu, Kyoto, Japan), operated in electrospray ionization mode. Analyte quantification was performed using Analyst version 1.7 (Sciex, Toronto, ON, Canada). Creatinine and 1‐NMN were analyzed using creatinine‐d3 and 1‐NMN‐d3 as internal standards, respectively. The conditions of liquid chromatography, multiple reaction monitoring precursor/product ion transitions are summarized in Supplementary Methods.
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4

LC-MS/MS Quantification of Biological Analytes

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Plasma and urine samples analyzed by liquid chromatography‐tandem mass spectrometry (LC‐MS/MS) were prepared by protein precipitation, as described previously14 with minor modification. All compounds were separated and detected using the QTRAP5500 system (AB SCIEX, Toronto, Canada) equipped with a Nexera X2 LC system (Shimadzu, Kyoto, Japan), operating in electrospray ionization mode. Analyte quantification was performed using Analyst version 1.7 (Sciex, Toronto, Canada). The conditions of liquid chromatography, multiple reaction monitoring precursor/product ion transitions are summarized in Supplementary Methods.
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5

Analyzing Steroid Biomarkers for Alzheimer's

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Analyst ® version 1.7 (AB Sciex) was used for instrument control and data acquisition. Data analysis was completed using MultiQuant version 3.0 (AB Sciex). Confidence intervals and reference ranges were calculated using R programming language, with the bias-corrected percentile confidence interval with bootstrapping (n = 999) using the boot package. Reference intervals were created for each sample for the whole cohort, for men and women separately and for those with and without AD biomarkers. Comparisons of median concentrations for each steroid between men and women and healthy volunteers and those with and without AD biomarkers were carried out using the Wilcoxon test.
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6

Bioanalysis and Fraction Metabolized Estimation

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Sample bioanalysis was performed using the LC-MS/MS method shown in Table S6. Integration and quantitation of metabolites and internal standard molecule peak areas were performed using Analyst version 1.7 (AB Sciex LLC, Framingham MA) to derive the analyte to internal standard peak area ratios. Standard curves for the quantitation of metabolite concentrations were prepared from plots of area ratio versus nominal concentration using a linear regression with either 1/x or 1/x 2 weighting.
In Vivo Fraction of Clearance and Calculation of Fraction Metabolized.
Estimations of fraction metabolized (f M ) were made as follows. The in vivo f CL of ritlecitinib was determined by quantification of radiolabeled metabolites identified in the excreta during
The f CL values for each pathway were scaled for any CYP isoform contributions to derive the f M as represented in the following equation:
where the term f CONTR,CYPA,pathwayX refers to the inhibition of metabolic pathway X in HLM by an inhibitor selective for CYPA (chemical inhibition experiments).
The contribution of a specific CYP enzyme to the total metabolism was calculated as:
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7

LC-MS Targeted Metabolite Quantification

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The same system as with LC-MS analysis was used. The mobile phases in this case were ultrapure water with 0.1% (v/v) acetic acid (A) and MeOH with 0.1% (v/v) acetic acid (B). The flow rate was 350 μL min−1 and the column heater temperature was 55 °C. An elution gradient was applied, starting with 30% B, held for 3 min. Afterwards B was ramped to 95% within 11 min and held constant for the next 4 min, decreased back to 30% B within 0.5 min and held for the next 7.5 min to re-equilibrate the column. The injection volume was 10 μL, too. Parameters used to produce fragment ions in selected reaction monitoring mode (SRM) and collision energies (CE) are given in Table 1. The electrospray ionization source (ESI) was operated in the positive ionization mode.
The parameters used for ionization were a temperature of 400 °C, 4500 V ion spray voltage, an entrance potential (EP) of 10 V, a declustering potential (DP) of 90 V, a collision cell exit potentials (CXP) of 15 V, a curtain gas with 35 psi (1 psi = 0.0689 bar = 6890 kg m−1 s−2 (SI unit)), a nebulizer gas (GS1) with 62 psi, a turbo gas (GS2) with 62 psi and a collision gas with 8 psi. Analyst® version 1.6.2 software (SCIEX) was used to control the instrument, acquire data and evaluate the results.
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8

Quinoline Metabolite Analysis by GC-MS and LC-MS/MS

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Quinoline and its derivative contents were analyzed using gas chromatography–mass spectrometry (GC/MS) and liquid chromatography–tandem mass spectrometry (LC-MS/MS). A detailed description of the sample preparation and chromatographic methods is included in Felczak et al. [24 (link)]. Additionally, qualitative analysis involving the loss of the neutral glucose molecule (162 Da) was carried out using an Eksigent microLC 200 System (Sciex Framingham, MA, USA) connected with an AB Sciex 4500 QTRAP mass spectrometer (Sciex Framingham, MA, USA). A C18 column (50 mm × 0.5 mm, particle size: 2.7 μm, (Sciex Framingham, MA, USA)) maintained at 45 °C was used for the chromatographic separation of quinoline metabolites. The eluents with a constant flow of 15 μL/min were water (A) and acetonitrile (B). Both eluents were supplemented with 0.1% formic acid. The injection volume was 5 µL. The mass spectra of quinoline metabolites were collected at collision energy settings of 30 ± 15 and 50 ± 10 V. The gradient of eluents and the microESI ion source parameters are presented in Table 3. The negative mode was retained for quinoline metabolite analysis. Analyst™ version 1.6.2 software (Sciex Framingham, MA, USA) was used in the qualitative analysis of quinolone metabolites.
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9

LC-MS/MS Quantification of Tetracycline Analogues

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Samples were analyzed using an Agilent® Series 3200 liquid chromatograph (Agilent Technologies, Santa Clara, CA, USA) coupled to an ABSCIEX® API 4000 mass spectrometer (SCIEX, Framingham, MA, USA) and a Sunfire® C18 (Waters Corp., Milford, MA, USA) chromatographic column of 3.5 µm and 2.1 × 150 mm.
The analytes were chromatographically separated using a mobile phase gradient of 0.1% formic acid in water (Phase A) and 0.1% formic acid in methanol (Phase B). The flow rate for this mobile phase was set at 0.2 mL min−1, the injection volume was set at 25 µL, and the column temperature was set at 30 °C.
The criteria to identify CTC and 4-epi-CTC was the detection of precursor ions with masses of 479.0 Da. Similarly, precursor ions of mass 451 Da were regarded as indicative of TC-d6. Meanwhile, fragmented ions had masses of 444.0, 154.0, and 416.0 Da for CTC, 4-epi-CTC, and TC-d6, respectively.
As for the chromatographic integration of the samples, we used the Analyst® version 1.6.2 software (SCIEX, Framingham, MA, USA).
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10

Untargeted Metabolomic Analysis Protocol

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The sample preparation, extract analysis, metabolite identification, and quantification were performed at Wuhan Metware Biotechnology Co., Ltd., WuHan, China following1 the standard procedures, which were previously described by Yuan et al. (2018) (link), Cao et al. (2019) (link), and Zhang et al. (2019) (link). Metabolite data analysis was carried out using the Analyst version 1.6.1 software (AB SCIEX, ON, Canada).
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