# Systematic review and meta-analysis of belatacept versus calcineurin inhibitors on risk of post-transplant diabetes mellitus in kidney transplant recipients

**Authors:** Xuchuan Wang, Dandan Song, Shufu Hou, Aiju Liu, Jing Gao, Lei Liu

PMC · DOI: 10.3389/fimmu.2026.1615875 · Frontiers in Immunology · 2026-02-13

## TL;DR

Belatacept, a newer drug for preventing organ rejection, reduces the risk of diabetes after kidney transplants compared to older drugs called calcineurin inhibitors.

## Contribution

This study provides the first comprehensive meta-analysis comparing belatacept and calcineurin inhibitors for post-transplant diabetes risk.

## Key findings

- Belatacept significantly lowers post-transplant diabetes risk compared to calcineurin inhibitors.
- Both low- and high-intensity belatacept regimens show similar effectiveness in reducing diabetes risk.
- Belatacept could be a safer alternative to calcineurin inhibitors for patients needing less immunosuppressive toxicity.

## Abstract

The novel immunosuppressant belatacept demonstrates a unique mechanism of action that significantly improves renal function and reduces metabolic complications. However, systematic evidence comparing the risk of post-transplant diabetes mellitus (PTDM) and overall safety profiles between belatacept-based regimens and calcineurin inhibitor (CNI)-based protocols remains limited. This meta-analysis aims to synthesize high-quality evidence to determine the comparative efficacy of these two regimens in PTDM prevention and safety outcomes, thereby providing robust guidance for clinical decision-making.

We systematically searched PubMed, Cochrane Library, CNKI, and EMBASE for studies published until November 30, 2024, comparing belatacept versus calcineurin inhibitors (CNIs) regarding PTDM risk in kidney transplant recipients. The primary outcome was PTDM incidence. Following data extraction and quality assessment, we performed pairwise meta-analyses to compare PTDM risk between belatacept (either less intensive(LI) or more intensive (MI) regimen) and CNIs. Bayesian network meta-analysis (WinBUGS 1.4.3) was then conducted for indirect comparison between belatacept LI and MI regimens.

The initial search yielded 3,206 records. After deduplication, title/abstract screening, and full-text evaluation, 6 studies involving 1,737 kidney transplant recipients were included in the final analysis. Compared with CNIs, belatacept demonstrated significant reductions in PTDM risk for both the LI (RR = 0.65, 95% CI 0.52-0.81, p<0.001; I²=30%) and MI (RR = 0.65, 95% CI 0.52-0.81, p<0.001; I²=30%) regimens. Bayesian network meta-analysis revealed no statistically significant difference between the LI and MI regimens.

This meta-analysis demonstrates that belatacept significantly reduces PTDM risk compared to CNIs, a finding consistent with previous studies. Notably, both LI and MI dosing regimens showed protective effects, suggesting that even low-intensity belatacept therapy could serve as a viable alternative to CNIs, particularly for patients requiring reduced immunosuppressive toxicity.

https://inplasy.com/, identifier INPLASY202540041.

## Full-text entities

- **Genes:** TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, CTLA4 (cytotoxic T-lymphocyte associated protein 4) [NCBI Gene 1493] {aka ALPS5, CD, CD152, CELIAC3, CTLA-4, GRD4}, CD28 (CD28 molecule) [NCBI Gene 940] {aka IMD123, Tp44}
- **Diseases:** metabolic disturbances (MESH:D024821), inflammatory (MESH:D007249), dyslipidemia (MESH:D050171), Diabetes (MESH:D003920), malignancies (MESH:D009369), failure (MESH:D051437), CNIs (MESH:D054179), MI (MESH:C000657744), prediabetes (MESH:D011236), obesity (MESH:D009765), hepatitis C infection (MESH:D006526), metabolic complication (MESH:D020739), hypertension (MESH:D006973), end-stage renal disease (MESH:D007676), cardiovascular disease (MESH:D002318), infection (MESH:D007239), insulin resistance (MESH:D007333), toxicity (MESH:D064420), kidney (MESH:D007674), LI (MESH:D016864), beta-cell toxicity (MESH:D007340), glucose intolerance (MESH:D018149)
- **Chemicals:** LI (MESH:D008094), oral hypoglycemics (-), cyclosporine (MESH:D016572), tacrolimus (MESH:D016559), steroid (MESH:D013256), glucose (MESH:D005947)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12945833/full.md

## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12945833/full.md

## References

31 references — full list in the complete paper: https://tomesphere.com/paper/PMC12945833/full.md

---
Source: https://tomesphere.com/paper/PMC12945833