TY - JOUR
T1 - Cytokine profiling in COVID-19 patients by using ion mobility-mass spectrometry-based parallel reaction monitoring
AU - Yan, Ling
AU - Yuan, Chenrui
AU - Zhou, Runhou
AU - Zhong, Li
AU - To, Kelvin Kai-Wang
AU - Liu, Na
AU - Diao, Xin
AU - Xie, Guangshan
AU - Zhao, Hongzhi
AU - Wu, Haijiang
AU - Zhu, Lin
AU - Chen, Zhiwei
AU - Cai, Zongwei
N1 - Publisher Copyright:
© 2025 Published by Elsevier B.V.
Funding Information:
This study was supported by the National Natural Science Foundation of China Yong Scientist Fund (21705137), the Tier 1 Research Start-up Grants from the Research Committee of Hong Kong Baptist University (162874), and the donation from Kwok Chung Bo Fun Charitable Fund
for the establishment of the Kwok Yat Wai Endowed Chair of Environmental and Biological Analysis.
PY - 2025/5/20
Y1 - 2025/5/20
N2 - Cytokine therapy, a non-antigen-specific strategy, has led to several
FDA-approved drugs. Given the role of dysregulated cytokine expression
in diseases such as COVID-19, accurate quantification is critical in
both clinical and research settings. While antibody-based assays offer
high sensitivity, their reliance on specific antibodies limits
multiplexing and increases analytical complexity. Conversely, mass
spectrometry methods like multiplexed reaction monitoring provide higher
throughput but lack the sensitivity to detect physiological cytokine
levels and the resolution to distinguish structural isomers. Thus, a new
MS-based approach is needed that integrates high sensitivity with the
ability to resolve structurally similar cytokines. We developed an ion
mobility-mass spectrometry (IM-MS)-based parallel reaction monitoring
(PRM) method to establish the first Cytokine Ion Mobility Peptide (CIMP)
databank and enable high-throughput cytokine profiling in serum samples
from COVID-19 patients. By introducing ion mobility as an additional
gas-phase separation dimension alongside liquid chromatography, the
method enhances analyte resolution based on structural differences,
facilitating the separation of isomers within the ion mobility trap. The
incorporation of ion mobility as a complementary separation parameter
enables the distinction of homologous cytokines and structural isomers
(e.g., IFNA1/IFNA2, IFNL1/IFNL3, and peptide isomers), which remains
challenging for conventional antibody-based assays. The method achieved a
limit of detection of 62.9 fmol/L and a limit of quantification of
210 fmol/L across 31 cytokines, demonstrating greater sensitivity than
traditional multiple reaction monitoring (MRM) approaches and enabling
quantification at physiological concentration levels, assuming
comparable background signal across platforms. The IM-MS-PRM method
offers a multiplexed, high-throughput, and adaptable platform that
eliminates the need for multiple assays while delivering excellent
reproducibility. It enables accurate and sensitive cytokine
quantification from minimal volumes of COVID-19 patient serum. Combined
with the CIMP databank, this approach allows precise differentiation
between early and late severe COVID-19 cases, supporting improved
diagnostic and therapeutic decision-making.
AB - Cytokine therapy, a non-antigen-specific strategy, has led to several
FDA-approved drugs. Given the role of dysregulated cytokine expression
in diseases such as COVID-19, accurate quantification is critical in
both clinical and research settings. While antibody-based assays offer
high sensitivity, their reliance on specific antibodies limits
multiplexing and increases analytical complexity. Conversely, mass
spectrometry methods like multiplexed reaction monitoring provide higher
throughput but lack the sensitivity to detect physiological cytokine
levels and the resolution to distinguish structural isomers. Thus, a new
MS-based approach is needed that integrates high sensitivity with the
ability to resolve structurally similar cytokines. We developed an ion
mobility-mass spectrometry (IM-MS)-based parallel reaction monitoring
(PRM) method to establish the first Cytokine Ion Mobility Peptide (CIMP)
databank and enable high-throughput cytokine profiling in serum samples
from COVID-19 patients. By introducing ion mobility as an additional
gas-phase separation dimension alongside liquid chromatography, the
method enhances analyte resolution based on structural differences,
facilitating the separation of isomers within the ion mobility trap. The
incorporation of ion mobility as a complementary separation parameter
enables the distinction of homologous cytokines and structural isomers
(e.g., IFNA1/IFNA2, IFNL1/IFNL3, and peptide isomers), which remains
challenging for conventional antibody-based assays. The method achieved a
limit of detection of 62.9 fmol/L and a limit of quantification of
210 fmol/L across 31 cytokines, demonstrating greater sensitivity than
traditional multiple reaction monitoring (MRM) approaches and enabling
quantification at physiological concentration levels, assuming
comparable background signal across platforms. The IM-MS-PRM method
offers a multiplexed, high-throughput, and adaptable platform that
eliminates the need for multiple assays while delivering excellent
reproducibility. It enables accurate and sensitive cytokine
quantification from minimal volumes of COVID-19 patient serum. Combined
with the CIMP databank, this approach allows precise differentiation
between early and late severe COVID-19 cases, supporting improved
diagnostic and therapeutic decision-making.
KW - Cytokine profiling
KW - Ion mobility
KW - Label-free
KW - Parallel reaction monitoring
KW - COVID-19
UR - http://www.scopus.com/inward/record.url?scp=105005749765&partnerID=8YFLogxK
U2 - 10.1016/j.aca.2025.344227
DO - 10.1016/j.aca.2025.344227
M3 - Journal article
AN - SCOPUS:105005749765
SN - 0003-2670
VL - 1364
JO - Analytica Chimica Acta
JF - Analytica Chimica Acta
M1 - 344227
ER -