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血清 TGF-1 和 CD14 预测 IBD 对 TNF- 治疗的反应。

Serum TGF-1 and CD14 Predicts Response to Anti-TNF- Therapy in IBD.

机构信息

Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czech Republic.

Laboratory of Animal Evolutionary Biology, Faculty of Science, Department of Zoology, Charles University, Prague, Czech Republic.

出版信息

J Immunol Res. 2023 Jun 20;2023:1535484. doi: 10.1155/2023/1535484. eCollection 2023.

Abstract

BACKGROUND

Tumor necrosis factor-alpha (TNF-) agonists revolutionized therapeutic algorithms in inflammatory bowel disease (IBD) management. However, approximately every third IBD patient does not respond to this therapy in the long term, which delays efficient control of the intestinal inflammation.

METHODS

We analyzed the power of serum biomarkers to predict the failure of anti-TNF-. We collected serum of 38 IBD patients at therapy prescription and 38 weeks later and analyzed them with relation to therapy response (no-, partial-, and full response). We used enzyme-linked immunosorbent assay to quantify 16 biomarkers related to gut barrier (intestinal fatty acid-binding protein, liver fatty acid-binding protein, trefoil factor 3, and interleukin (IL)-33), microbial translocation, immune system regulation (TNF-, CD14, lipopolysaccharide-binding protein, mannan-binding lectin, IL-18, transforming growth factor-1 (TGF-1), osteoprotegerin (OPG), insulin-like growth factor 2 (IGF-2), endocrine-gland-derived vascular endothelial growth factor), and matrix metalloproteinase system (MMP-9, MMP-14, and tissue inhibitors of metalloproteinase-1).

RESULTS

We found that future full-responders have different biomarker profiles than non-responders, while partial-responders cannot be distinguished from either group. When future non-responders were compared to responders, their baseline contained significantly more TGF-1, less CD14, and increased level of MMP-9, and concentration of these factors could predict non-responders with high accuracy (AUC = 0.938). Interestingly, during the 38 weeks, levels of MMP-9 decreased in all patients, irrespective of the outcome, while OPG, IGF-2, and TGF-1 were higher in non-responders compared to full-responders both at the beginning and the end of the treatment.

CONCLUSIONS

The TGF-1 and CD14 can distinguish non-responders from responders. The changes in biomarker dynamics during the therapy suggest that growth factors (such as OPG, IGF-2, and TGF-) are not markedly influenced by the treatment and that anti-TNF- therapy decreases MMP-9 without influencing the treatment outcome.

摘要

背景

肿瘤坏死因子-α(TNF-)激动剂彻底改变了炎症性肠病(IBD)治疗的治疗方案。然而,大约每三个 IBD 患者在长期内对此治疗没有反应,这延迟了对肠道炎症的有效控制。

方法

我们分析了血清生物标志物预测抗 TNF-治疗失败的能力。我们在治疗处方时收集了 38 例 IBD 患者的血清,并在 38 周后进行了分析,并与治疗反应(无反应、部分反应和完全反应)相关。我们使用酶联免疫吸附试验来定量分析与肠道屏障(肠脂肪酸结合蛋白、肝脂肪酸结合蛋白、三叶因子 3 和白细胞介素(IL)-33)、微生物易位、免疫系统调节(肿瘤坏死因子-α、CD14、脂多糖结合蛋白、甘露聚糖结合凝集素、IL-18、转化生长因子-1(TGF-1)、骨保护素(OPG)、胰岛素样生长因子 2(IGF-2)、内分泌腺衍生的血管内皮生长因子)和基质金属蛋白酶系统(MMP-9、MMP-14 和组织抑制剂金属蛋白酶-1)相关的 16 种生物标志物。

结果

我们发现,未来的完全反应者与非反应者具有不同的生物标志物谱,而部分反应者不能与任何一组区分开来。当未来的非反应者与反应者进行比较时,他们的基线中 TGF-1 明显更多,CD14 更少,MMP-9 水平增加,这些因素的浓度可以以高准确度(AUC=0.938)预测非反应者。有趣的是,在 38 周内,所有患者的 MMP-9 水平都降低了,无论结果如何,而 OPG、IGF-2 和 TGF-1 在治疗开始和结束时在非反应者中均高于完全反应者。

结论

TGF-1 和 CD14 可以将非反应者与反应者区分开来。治疗过程中生物标志物动态的变化表明,生长因子(如 OPG、IGF-2 和 TGF-)不受治疗的显著影响,而抗 TNF-治疗降低了 MMP-9 而不影响治疗结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c863/10299888/7cc19b732f07/JIR2023-1535484.001.jpg

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