Mycoplasma pneumoniae pneumonia (MPP) can cause serious extrapulmonary complications, including life-threatening thrombosis. This study aimed to elucidate the roles of neutrophils and neutrophil extracellular traps (NETs) in vascular endothelial cell (EC) activation in pediatric MPP-associated thrombosis. We analyzed the relationship between neutrophils and thrombosis in children with MPP and used mouse models of neutrophilia (Csf3 plasmid injection), neutropenia (Csf3 deficient, Csf3–/–), and defective NETs formation (Pad4 deficient, Pad4–/–). The effects of neutrophils and NETs on EC activation were further examined in vivo, in vitro, and in human samples. Elevated neutrophil count was observed in patients with thrombosis and functioned as a potential diagnostic marker as well as a risk factor for MPP-associated thrombosis. EC activation was enhanced in MPP mice with neutrophilia but attenuated in neutropenic or Pad4–/– mice. NETs activated ECs through TLR2 and JAK/STAT3 signaling, and inhibition of NETs formation (Cl-amidine), TLR2 (C29), and JAK (upadacitinib) each attenuated this response. Strong correlations among neutrophils, NETs, EC activation, and thrombosis were observed in pediatric patients. These findings suggest that neutrophils promoted thrombosis in MPP via NETs-mediated EC activation involving TLR2 and JAK/STAT3 signaling. This study provides mechanistic insights into the inflammatory-thrombotic processes in MPP-associated thrombosis and offers a rationale for further investigation of neutrophils, NETs, TLR2, and JAK/STAT3 signaling in this context.
Xia Huang, Yifan Zhu, Yun Guo, Tian Lv, Haiyan Gu, Yingying Luo, Dan Li, Hang Sun, Deyu Zhao, Feng Liu
Usage data is cumulative from September 2026 through September 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 115 | 0 |
| 44 | 0 | |
| Figure | 66 | 0 |
| Table | 7 | 0 |
| Supplemental data | 34 | 0 |
| Citation downloads | 28 | 0 |
| Totals | 294 | 0 |
| Total Views | 294 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.