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.
Authors
- Tawfik A. Khattab (ORCID: https://orcid.org/0000-0001-7834-4952)
- Aynur Abdulla (ORCID: https://orcid.org/0000-0002-9482-8460)
- Jiahui Ding (ORCID: https://orcid.org/0000-0001-5349-134X)
- Haoni Yan
- Salhah D. Al‐Qahtani (ORCID: https://orcid.org/0000-0002-3876-0238)
- Yujie Shi (ORCID: https://orcid.org/0000-0002-7610-0433)
- Yanfei Mao (ORCID: https://orcid.org/0000-0001-7051-7118)
- Wenqiong Su (ORCID: https://orcid.org/0000-0003-4914-346X)
- Yan Wang (ORCID: https://orcid.org/0000-0002-3341-1469)
- Yan Zhang (ORCID: https://orcid.org/0000-0003-0159-9062)
- Xianting Ding (ORCID: https://orcid.org/0000-0002-1549-3499)
- Lai Jiang (ORCID: https://orcid.org/0000-0003-0998-1389)
- Hengxing Su
Institutions
- 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)
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
Funders
- 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