# Monocyte IL-1β predicts adverse cardiovascular events and associates with coronary microvascular dysfunction in kidney transplant recipients

**Authors:** Zhengwei Yin, Qingyan Yang, Jianle Han, Junwei Yang, Tao Li, Jingjun Suo, Shuaiping Yang, Xiaobo Wang, Shuailin Zhao, Chang’an Wang

PMC · DOI: 10.3389/fcvm.2025.1689566 · Frontiers in Cardiovascular Medicine · 2026-01-07

## TL;DR

High levels of IL-1β in monocytes before kidney transplant predict higher risk of heart-related deaths and problems, possibly due to microvascular issues.

## Contribution

This study identifies IL-1β as a novel independent predictor of cardiovascular outcomes in kidney transplant recipients.

## Key findings

- Elevated pretransplant monocyte IL-1β expression independently predicts death and major adverse cardiovascular events in kidney transplant recipients.
- IL-1β correlates with impaired coronary flow reserve and elevated syndecan-1, suggesting a link to coronary microvascular dysfunction.
- Other pyroptosis-related genes showed weaker or nonsignificant associations with outcomes.

## Abstract

Cardiovascular disease remains the leading cause of death after kidney transplantation. Coronary microvascular dysfunction (CMD) is common in kidney transplant recipients (KTRs), prognostically informative for cardiovascular events, and tightly related to inflammation. We aimed to test whether pretransplant monocytic expression of pyroptosis-related genes (IL-1β, GSDMD, Caspase-1, and NLRP3) independently predicts long-term mortality and major adverse cardiovascular events (MACE) in KTRs, and to evaluate its associations with CMD.

We enrolled 305 KTRs. Monocytes were isolated preoperatively and qPCR quantified the four genes (normalized to GAPDH). MACE included death, myocardial infarction, stroke, and heart failure. Multivariable Cox regression was used to adjust for confounders associated with prognosis. CMD was evaluated using coronary flow reserve (CFR) in 41 KTRs and serum syndecan-1 levels (an endothelial injury marker) in 88 KTRs.

Over a median 4.0 years, 62/305 (20.3%) had MACE. IL-1β expression was higher in those with events. In Cox models with IL-1β entered as a standardized continuous variable (per SD), IL-1β independently predicted death (adjusted HR 1.530, 95%CI 1.165–2.009) and MACE (adjusted HR 1.622, 95%CI 1.283–2.052). When modeled categorically as tertiles, the highest vs. lowest IL-1β tertile conferred greater risk (death, adjusted HR 3.771, 95%CI 1.516–9.384; MACE, adjusted HR 4.398, 95%CI 2.003–9.654). IL-1β correlated inversely with CFR (R = −0.40, P = 0.009) and positively with syndecan-1 (R = 0.47, P < 0.001). Other genes showed weaker or nonsignificant associations.

IL-1β is a robust, independent predictor of death and MACE in KTRs. Its associations with impaired CFR and elevated syndecan-1 support a mechanistic link to CMD.

## Linked entities

- **Genes:** IL1B (interleukin 1 beta) [NCBI Gene 3553], GSDMD (gasdermin D) [NCBI Gene 79792], Caspase1 (caspase-1) [NCBI Gene 692604], NLRP3 (NLR family pyrin domain containing 3) [NCBI Gene 114548], GAPDH (glyceraldehyde-3-phosphate dehydrogenase) [NCBI Gene 2597]
- **Diseases:** cardiovascular disease (MONDO:0004995), heart failure (MONDO:0005252), myocardial infarction (MONDO:0005068), stroke (MONDO:0005098)

## Full-text entities

- **Genes:** GSDMD (gasdermin D) [NCBI Gene 79792] {aka DF5L, DFNA5L, FKSG10, GSDMDC1}, CASP1 (caspase 1) [NCBI Gene 834] {aka ICE, IL1BC, P45}, SDC1 (syndecan 1) [NCBI Gene 6382] {aka CD138, SDC, SYND1, syndecan}, NLRP3 (NLR family pyrin domain containing 3) [NCBI Gene 114548] {aka AGTAVPRL, AII, AVP, C1orf7, CIAS1, CLR1.1}, GAPDH (glyceraldehyde-3-phosphate dehydrogenase) [NCBI Gene 2597] {aka G3PD, GAPD, HEL-S-162eP}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}
- **Diseases:** inflammation (MESH:D007249), myocardial infarction (MESH:D009203), endothelial injury (MESH:D057772), CMD (MESH:D003327), death (MESH:D003643), Cardiovascular disease (MESH:D002318), heart failure (MESH:D006333), stroke (MESH:D020521)

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## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12819680/full.md

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Source: https://tomesphere.com/paper/PMC12819680