Lactylation-related molecular subtyping reveals the immune heterogeneity and clinical characteristics in ulcerative colitis

IF 2.2 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical and biophysical research communications Pub Date : 2025-04-05 Epub Date: 2025-03-05 DOI:10.1016/j.bbrc.2025.151584
Jinyang Zhai , Runxi Fu , Shangjian Luo , Xiaoman Liu , Yang Xie , Kejing Cao , Wensong Ge , Yingwei Chen
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Abstract

Background

Ulcerative colitis (UC) is a chronic inflammatory disease linked to early-onset colorectal cancer and metabolic abnormalities. While intestinal lactate disturbances are observed in UC, the role of lactate and lactylation in its pathogenesis remains unclear. The lack of specific biomarkers reflecting these processes limits understanding of their biological significance.

Methods

UC subtypes were classified using ConsensusClusterPlus and NMF based on LRGs. Immune infiltration was assessed with ssGSEA, xCell, and CIBERSORT. WGCNA identified subtype-specific gene modules, and Lasso regression pinpointed hub genes. Single-cell analysis determined cellular localization, while WB and IHC validated findings in clinical, mouse, and cell models. Prognostic machine learning models evaluated the clinical significance of these results.

Results

LRGs distinguished UC patients from controls and stratified them into high and low immune infiltration groups. MSN and MAPRE1, strongly linked to UC, showed elevated expression in vitro and in vivo. They aid in diagnosing UC and UC-associated colorectal cancer and serve as predictors of UC severity and response to immunosuppressants.

Conclusion

Using high-throughput transcriptomic data, we identified hub LRGs and highlighted the role of lactate-mediated lactylation in UC. MSN and MAPRE1 were confirmed to be upregulated in an inflammatory environment, underscoring their potential for personalized UC diagnosis and treatment.
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乳酸酰化相关分子分型揭示溃疡性结肠炎的免疫异质性和临床特征
背景溃疡性结肠炎(UC)是一种慢性炎症性疾病,与早发性结直肠癌和代谢异常有关。虽然在UC中观察到肠道乳酸紊乱,但乳酸和乳酸化在其发病机制中的作用尚不清楚。缺乏反映这些过程的特异性生物标志物限制了对其生物学意义的理解。方法采用基于LRGs的ConsensusClusterPlus和NMF进行分类。采用ssGSEA、xCell和CIBERSORT评估免疫浸润。WGCNA鉴定了亚型特异性基因模块,Lasso回归确定了枢纽基因。单细胞分析确定了细胞定位,而WB和IHC验证了临床、小鼠和细胞模型的发现。预后机器学习模型评估了这些结果的临床意义。结果slrgs将UC患者与对照组区分开来,并将其分为高、低免疫浸润组。与UC密切相关的MSN和MAPRE1在体外和体内均表达升高。它们有助于诊断UC和UC相关的结直肠癌,并作为UC严重程度和对免疫抑制剂反应的预测因子。利用高通量转录组学数据,我们确定了枢纽LRGs,并强调了乳酸介导的乳酸化在UC中的作用。研究证实,MSN和MAPRE1在炎症环境中上调,强调了它们在UC个性化诊断和治疗中的潜力。
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来源期刊
Biochemical and biophysical research communications
Biochemical and biophysical research communications 生物-生化与分子生物学
CiteScore
6.10
自引率
0.00%
发文量
1400
审稿时长
14 days
期刊介绍: Biochemical and Biophysical Research Communications is the premier international journal devoted to the very rapid dissemination of timely and significant experimental results in diverse fields of biological research. The development of the "Breakthroughs and Views" section brings the minireview format to the journal, and issues often contain collections of special interest manuscripts. BBRC is published weekly (52 issues/year).Research Areas now include: Biochemistry; biophysics; cell biology; developmental biology; immunology ; molecular biology; neurobiology; plant biology and proteomics
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