Combining CD64 and CD123 Biomarkers for Sepsis Early Diagnosis and Severity Assessment via PD-L1 Antibody Affinity Microfluidic (PAAM) Chip in Trace Clinical Samples

Sepsis, a lethal organ dysfunction caused by a dysregulated host response to infection, is the leading cause of worldwide in-hospital mortality. However, the early diagnostic methods for sepsis are still urgent for guiding accurate antibiotic usage and improving the survival rate of the patients. Herein, we constructed a PD-L1 antibody affinity microfluidic (PAAM) chip for early sepsis diagnosis and severity assessment. The chip was used to capture PD-L1-expressing leukocytes from whole blood samples obtained from healthy control (HC) volunteers (<i>n</i> = 15) and sepsis patients on day 1 (D1) and day 7 (D7) (<i>n</i> = 20), and there was a statistically significant difference between HC and sepsis patients (<i>p</i> < 0.0001), and the AUC was 0.96. However, there was no significant difference in the number of cells captured on-chip between sepsis patients on D1 and D7 (<i>p</i> = 0.16). Therefore, we performed immunofluorescence staining of PD-L1, CD64, and CD123 on the chip. The results showed that the combination of PD-L1, CD64, and CD123 for sepsis diagnosis had an AUC of 0.98, and there was a significant difference in PD-L1<sup>+</sup>/CD64<sup>+</sup>/CD123<sup>+</sup> leukocytes between sepsis patients on D1 and on D7 (<i>p</i> < 0.0001). In conclusion, we found that the combination of multiple biomarkers was more precise and dependable for sepsis diagnosis and severity assessment.

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Publication Details

Journal
Analytical Chemistry
Published
2025-04-03
DOI
https://doi.org/10.1021/acs.analchem.4c07123
Citations
3
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
4.06

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article

Combining CD64 and CD123 Biomarkers for Sepsis Early Diagnosis and Severity Assessment via PD-L1 Antibody Affinity Microfluidic (PAAM) Chip in Trace Clinical Samples

Tawfik A. Khattab, Aynur Abdulla, Jiahui Ding, Haoni Yan et al.
3 citations
Analytical Chemistry
Sepsis Diagnosis and Treatment
4.06
article

Combining CD64 and CD123 Biomarkers for Sepsis Early Diagnosis and Severity Assessment via PD-L1 Antibody Affinity Microfluidic (PAAM) Chip in Trace Clinical Samples

Tawfik A. Khattab, Aynur Abdulla, Jiahui Ding, Haoni Yan, Salhah D. Al‐Qahtani, Yujie Shi, Yanfei Mao, Wenqiong Su, Yan Wang, Yan Zhang, Xianting Ding, Lai Jiang, Hengxing Su
article en
3 citations

Abstract

Sepsis, a lethal organ dysfunction caused by a dysregulated host response to infection, is the leading cause of worldwide in-hospital mortality. However, the early diagnostic methods for sepsis are still urgent for guiding accurate antibiotic usage and improving the survival rate of the patients. Herein, we constructed a PD-L1 antibody affinity microfluidic (PAAM) chip for early sepsis diagnosis and severity assessment. The chip was used to capture PD-L1-expressing leukocytes from whole blood samples obtained from healthy control (HC) volunteers (<i>n</i> = 15) and sepsis patients on day 1 (D1) and day 7 (D7) (<i>n</i> = 20), and there was a statistically significant difference between HC and sepsis patients (<i>p</i> < 0.0001), and the AUC was 0.96. However, there was no significant difference in the number of cells captured on-chip between sepsis patients on D1 and D7 (<i>p</i> = 0.16). Therefore, we performed immunofluorescence staining of PD-L1, CD64, and CD123 on the chip. The results showed that the combination of PD-L1, CD64, and CD123 for sepsis diagnosis had an AUC of 0.98, and there was a significant difference in PD-L1<sup>+</sup>/CD64<sup>+</sup>/CD123<sup>+</sup> leukocytes between sepsis patients on D1 and on D7 (<i>p</i> < 0.0001). In conclusion, we found that the combination of multiple biomarkers was more precise and dependable for sepsis diagnosis and severity assessment.

Analytical ChemistryVol. 97(14)
Princess Nourah bint Abdulrahman University (SA), Shanghai Jiao Tong University (CN), XinHua Hospital (CN), Textile Research Institute (US), National Research Centre (EG), State Key Laboratory of Oncogene and Related Genes (CN)
National Natural Science Foundation of China, Princess Nourah Bint Abdulrahman University, Shanghai City Youth Science and Technology Star Project, National Key Research and Development Program of China
Openalex Percentile: Top 7%
Sepsis Diagnosis and Treatment
4.06
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