journal article·2025-06Open access

Identification of CD38 high Monocyte as a Candidate Diagnostic Biomarker and Therapeutic Target for Sepsis

Ning Hua, Limin Kong, Li Fan, Yanan Bai, Yujun Zhou, Yanfang Zhang, Qingwei Zhao, Xiaoyang Lu, Hongyu Yang, Hangyang Li, Peili Ding, Yuyu Nan, Qinghua Ji, Ping Yang, Lu Li, Yijing Xin, Lijuan Zhao, Wei Yang, Wenqiao Yu, Saiping Jiang

Advanced Science· Volume 12· Issue 23

Abstract

Abstract Sepsis is characterized by a systemic host response to infection. Monocytes, as major mediators of acute infection, are implicated in complications among critically ill patients. Identifying key monocyte subsets and their activation states is essential for diagnosis and delineating new therapeutic targets for sepsis. Here, single cell transcriptome sequencing and mass cytometry are used to assess alterations in the composition and function of peripheral monocytes of patients with sepsis, and CD38 high monocytes in circulation are specifically accumulated within the first 24 h of sepsis. CD38 high monocytes are detectable by conventional flow cytometry to discriminate sepsis and sterile inflammation, and are associated with 28‐day mortality in bacterial sepsis. Targeting CD38 therapy markedly reduces inflammatory response in primary monocytes and in sepsis mice model. Mechanistically, CD38 high monocytes in sepsis exhibit hyperactivated glycolysis with activation of hypoxia‐inducible factor‐1α (HIF‐1α) due to NAD + consumption. Glycolytic metabolite methylglyoxal (MGO) is found to regulate expression of CD38, establishing a CD38‐HIF‐1α/glycolysis/MGO loop that exacerbates sepsis‐induced immune dysregulation. These findings demonstrate that CD38 high monocytes might serve as a candidate diagnostic biomarker and therapeutic target for sepsis.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Calcium signaling and nucleotide metabolism · Immune Cell Function and Interaction · COVID-19 Clinical Research Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Clinical Pharmacy The First Affiliated Hospital School of Medicine Zhejiang University 79 Qingchun Road Hangzhou 310003 China

Department of Intensive Care Unit The First Affiliated Hospital School of Medicine Zhejiang University 79 Qingchun Road Hangzhou 310003 China

Department of Biophysics and neurology Center for Membrane Receptors and Brain Medicine the Fourth Affiliated Hospital of School of Medicine International School of Medicine International Institutes of Medicine Zhejiang University Yiwu 322000 China

Research Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou 310058 China

Zhejiang Puluoting Health Technology Co Ltd Hangzhou 310000 China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Jiangxi Province

References (47)

Show source-provided references
1. 10.1186/s13054-018-2157-z10.1186/s13054-018-2157-z ↗
2. 10.1001/jama.2019.579110.1001/jama.2019.5791 ↗
3. 10.1016/S1473-3099(21)00773-810.1016/S1473-3099(21)00773-8 ↗
4. Siloşi C. A. · Rom. J. Morphol. Embryol. · 2018 · 59 · 77
5. 10.1016/j.cca.2024.11989110.1016/j.cca.2024.119891 ↗
6. 10.1007/s00134-012-2769-810.1007/s00134-012-2769-8 ↗
7. 10.1186/s13613-016-0153-510.1186/s13613-016-0153-5 ↗
8. 10.1186/s13054-020-02993-510.1186/s13054-020-02993-5 ↗
9. 10.3390/ijms2021537610.3390/ijms20215376 ↗
10. 10.1172/JCI8222410.1172/JCI82224 ↗
11. 10.1186/s12967-022-03320-y10.1186/s12967-022-03320-y ↗
12. 10.1182/blood.201900006710.1182/blood.2019000067 ↗
13. 10.1002/pmic.20180038910.1002/pmic.201800389 ↗
14. 10.1016/j.immuni.2021.10.01210.1016/j.immuni.2021.10.012 ↗
15. 10.1172/jci.insight.13567810.1172/jci.insight.135678 ↗
16. 10.1002/JLB.5MA0721-825R10.1002/JLB.5MA0721-825R ↗
17. 10.1038/s41591-020-0752-410.1038/s41591-020-0752-4 ↗
18. 10.1161/ATVBAHA.117.30964510.1161/ATVBAHA.117.309645 ↗
19. 10.1038/nmeth.446310.1038/nmeth.4463 ↗
20. 10.1038/7555610.1038/75556 ↗
21. 10.1038/s41588-021-00894-z10.1038/s41588-021-00894-z ↗
22. 10.1038/ng118010.1038/ng1180 ↗
23. 10.1038/s41580-020-00313-x10.1038/s41580-020-00313-x ↗
24. 10.1016/j.canlet.2019.11.02910.1016/j.canlet.2019.11.029 ↗
25. 10.1016/j.bbadis.2022.16648110.1016/j.bbadis.2022.166481 ↗
26. 10.1038/s41467-023-42634-310.1038/s41467-023-42634-3 ↗
27. 10.3389/fimmu.2021.77883010.3389/fimmu.2021.778830 ↗
28. Xing L. · Am. Assoc. Cancer Res. · 2021 · 27 · 5376
29. 10.1038/s41392-023-01577-310.1038/s41392-023-01577-3 ↗
30. 10.1038/s41467-019-10626-x10.1038/s41467-019-10626-x ↗
31. 10.1164/rccm.201811-2148ED10.1164/rccm.201811-2148ED ↗
32. Yao R. Q. · Mil. Med. Res. · 2023 · 10 · 27
33. 10.1001/jama.2020.271710.1001/jama.2020.2717 ↗
34. 10.1126/scitranslmed.adi327510.1126/scitranslmed.adi3275 ↗
35. 10.1152/ajpcell.00451.202110.1152/ajpcell.00451.2021 ↗
36. 10.3389/fimmu.2020.59795910.3389/fimmu.2020.597959 ↗
37. 10.1182/blood-2017-06-74094410.1182/blood-2017-06-740944 ↗
38. 10.1126/sciadv.abo427110.1126/sciadv.abo4271 ↗
39. 10.1172/JCI14771910.1172/JCI147719 ↗
40. 10.1016/j.cell.2019.03.01810.1016/j.cell.2019.03.018 ↗
41. 10.1111/febs.1532710.1111/febs.15327 ↗
42. 10.1016/j.canlet.2014.04.00110.1016/j.canlet.2014.04.001 ↗
43. 10.3390/ijms2306332610.3390/ijms23063326 ↗
44. 10.1016/j.cmet.2020.07.00710.1016/j.cmet.2020.07.007 ↗
45. 10.1038/ni.339810.1038/ni.3398 ↗
46. 10.1152/physrev.00001.201910.1152/physrev.00001.2019 ↗
47. 10.3389/fendo.2022.104673610.3389/fendo.2022.1046736 ↗