Background Image
Table of Contents Table of Contents
Previous Page  526 / 658 Next Page
Information
Show Menu
Previous Page 526 / 658 Next Page
Page Background

2

Data Analysis

All data were processed usin

g Pinpoint software

(revision

1.4). HRAM MS data extraction was used for

quantification. To provide additional levels of qualitative

analysis, the three most abundant precursor charge states

per insulin variant were used, as well as the six most

abundant isotopes per charge state. A mass tolerance of

±7 ppm was used to extract all data. Qualitative scoring

was based on mass error, precursor charge state

distribution, isotopic overlap, and corresponding LC

elution peak profiles measured for each sample. Product

ion data were used for sequence verification. The

measured area-under-curve (AUC) values for porcine

insulin were used as the internal standard for all samples.

Results and Discussion

To assess the workflow, the insulin variants were spiked

into two different matrices and processed. The effects of

the matrix, competitive binding/extraction of all insulin

variants, and automated data extraction, verification, and

quantitation were evaluated. The HRAM data acquisition

capability of the Q Exactive mass spectrometer enabled

downstream automated qualitative and quantitative data

processing using Pinpoint software. By acquiring data in a

nontargeted manner, post-acquisition methods can be used

to process the data for any insulin variant sequence or

modification. To increase the qualitative information

obtained, multiple target-specific attributes per insulin

variant were chosen for analysis by the software.

Qualitative Data Processing Strategy

Figure 1 shows the base peak chromatogram for the

human plasma sample spiked with 960 pM of Lantus and

Apidra insulin analogs and 50 pM of porcine insulin

extracted using MSIA. The data acquisition time range

used was 3.5 to 5.5 minutes. The chromatographic trace

shows two peaks eluting, with the peak at 4.52 minutes

attributed to the Lantus insulin analog and the peak at

4.72 minutes attributed to porcine, human, and Apidra

insulin analogs. The inset shows the averaged HRAM

mass spectrum around the +5 precursor charge states for

the insulin analogs. The observed relative abundance of

Apidra to porcine (ca. 6%) was in close agreement with

the spiked amounts of 960 to 50 pM, respectively. The

observed relative abundance of endogenous human insulin

was equivalent to that of porcine. The remaining peaks in

the mass spectrum were attributed to adduct formation

during ionization. Despite the large difference in the

amounts present in the plasma samples, there was little

interference observed when detecting all insulin variants.

The resolution of the Q Exactive mass spectrometer was

more than sufficient to baseline resolve the isotopic

profiles for the +5 charge state across the dynamic range.

Sample Preparation

Two sets of samples were prepared. First, a dilution series

of Humulin S, Apidra, Lantus, NovoRapid, and bovine

insulin, prepared in the presence of porcine insulin

(50 pM) and covering an analytical concentration of

1.5 to 960 pM, were spiked into a phosphate-buffered

saline-bovine serum albumin (PBS/BSA) matrix. The

second set consisted of Apidra, Lantus, and NovoRapid

spiked individually into human plasma at the same

concentration range (1.5 to 960 pM). For quantitation

curve development, both Apidra and Lantus were spiked

into plasma across the same concentration range

(1.5 to 960 pM). Porcine insulin was again spiked into

each sample at 50 pM as an internal standard.

Mass Spectrometric Immunoassay

The affinity capture of insulin was achieved using insulin-

specific MSIA D.A.R.T.’S mounted onto the 96-channel

pipetting head of the

Thermo Scientific Versette automated liquid handler. A

fter rinsing the insulin MSIA

D.A.R.T.’S with 15 cycles of a single aspiration and

dispensing 150 µL 10 mM PBS, the insulin MSIA

D.A.R.T.’S were immersed into the samples and

100 aspiration and dispense cycles of 250 µL were

performed. The multiple cycles allowed simultaneous

affinity enrichment of all of the insulin analogues as well

the internal standard. The MSIA D.A.R.T.’S were then

rinsed with PBS (15 cycles) from another microplate,

followed twice by water (15 cycles) from two additional

microplates (150 µL aspirations and dispenses, from

200 µL in each well).

The affinity-captured insulin analogs were eluted to a

microplate by aspirating and dispensing 80 µL of

15 μg/mL ACTH 1-24 in 33% acetonitrile/0.4% (v/v)

trifluoroacetic acid (TFA) 100 times from a total of

100 µL volume in each well. The eluates were dried down

in a

Thermo Scientific Speed Vac concentrator u

ntil dry

and then resuspended in 100 µL reconstitution buffer

25% acetonitrile/0.2% formic acid (v/v)). The microplate

was sealed and vortexed for 30 seconds to ensure proper

reconstitution, and then spun-down prior to loading

samples onto the LC.

LC/MS Method

Samples were analyzed using a generic LC/MS method.

A

Thermo Scientific UltiMate 3000 RSLCnano LC

system was used for all LC/MS experiments. To begin,

100 µL of each sample was separated on a 1 x 250 mm

Thermo Scientific ProSwift RP-4H column

using a

linear gradient (10–50% in 10 minutes) comprised of

A) 0.1% formic acid in water and B) 0.1% formic acid in

acetonitrile. The column was heated to 50 ºC.

All data were acquired using a

Q Exactive mass spectrometer o

perated in data-dependent/dynamic

exclusion mode. A resolution setting of 70,000 (FWHM)

at

m/z

200 was used for full-scan MS and 17,500 for

MS/MS events. Full-scan MS data were acquired using a

mass range of 800–2000 Da. A targeted inclusion list was

used to trigger all data-dependent events.