Microbiome-driven IBS metabotypes influence response to the low FODMAP diet: insights from the faecal volatome.

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL EBioMedicine Pub Date : 2024-09-01 Epub Date: 2024-08-22 DOI:10.1016/j.ebiom.2024.105282
Thomas Edward Conley, Rachael Slater, Stephen Moss, David Colin Bulmer, Juan de la Revilla Negro, Umer Zeeshan Ijaz, David Mark Pritchard, Miles Parkes, Chris Probert
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Abstract

Background: Irritable bowel syndrome (IBS) is a common and debilitating disorder manifesting with abdominal pain and bowel dysfunction. A mainstay of treatment is dietary modification, including restriction of FODMAPs (fermentable oligosaccharides, disaccharides, monosaccharides and polyols). A greater response to a low FODMAP diet has been reported in those with a distinct IBS microbiome termed IBS-P. We investigated whether this is linked to specific changes in the metabolome in IBS-P.

Methods: Solid phase microextraction gas chromatography-mass spectrometry was used to examine the faecal headspace of 56 IBS cases (each paired with a non-IBS household control) at baseline, and after four-weeks of a low FODMAP diet (39 pairs). 50% cases had the IBS-P microbial subtype, while the others had a microbiome that more resembled healthy controls (termed IBS-H). Clinical response to restriction of FODMAPs was measured with the IBS-symptom severity scale, from which a pain sub score was calculated.

Findings: Two distinct metabotypes were identified and mapped onto the microbial subtypes. IBS-P was characterised by a fermentative metabolic profile rich in short chain fatty acids (SCFAs). After FODMAP restriction significant reductions in SCFAs were observed in IBS-P. SCFA levels did not change significantly in the IBS-H group. The magnitude of pain and overall symptom improvement were significantly greater in IBS-P compared to IBS-H (p = 0.016 and p = 0.026, respectively). Using just five metabolites, a biomarker model could predict microbial subtype with accuracy (AUROC 0.797, sensitivity 78.6% (95% CI: 0.78-0.94), specificity 71.4% (95% CI: 0.55-0.88).

Interpretation: A metabotype high in SCFAs can be manipulated by restricting fermentable carbohydrate, and is associated with an enhanced clinical response to this dietary restriction. This implies that SCFAs harbour pro-nociceptive potential when produced in a specific IBS niche. By ascertaining metabotype, microbial subtype can be predicted with accuracy. This could allow targeted FODMAP restriction in those seemingly primed to respond best.

Funding: This research was co-funded by Addenbrooke's Charitable Trust, Cambridge University Hospitals and the Wellcome Sanger Institute, and supported by the NIHR Cambridge Biomedical Research Centre (BRC-1215-20014).

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微生物驱动的肠易激综合征代谢型影响对低 FODMAP 饮食的反应:粪便挥发物的启示。
背景:肠易激综合征(IBS肠易激综合征(IBS)是一种常见的衰弱性疾病,表现为腹痛和排便功能障碍。治疗的主要方法是调整饮食,包括限制 FODMAPs(可发酵低聚糖、双糖、单糖和多元醇)。据报道,具有独特的肠易激综合征微生物组(称为肠易激综合征-P)的患者对低 FODMAP 饮食的反应更大。我们研究了这是否与 IBS-P 代谢组的特殊变化有关:方法:采用固相微萃取气相色谱-质谱法检测了 56 例 IBS 病例(每个病例与非 IBS 家庭对照组配对)的粪便顶空(基线),以及低 FODMAP 饮食 4 周后的粪便顶空(39 对)。50%的病例属于肠易激综合征-P 微生物亚型,而其他病例的微生物组更类似于健康对照组(称为肠易激综合征-H)。通过肠易激综合征症状严重程度量表测量了限制 FODMAPs 的临床反应,并根据该量表计算出了疼痛次评分:研究结果:确定了两种不同的代谢类型,并将其映射到微生物亚型上。IBS-P的特征是富含短链脂肪酸(SCFA)的发酵代谢特征。限制 FODMAP 后,IBS-P 中的 SCFAs 显著减少。而在 IBS-H 组中,SCFA 水平没有明显变化。与 IBS-H 组相比,IBS-P 组的疼痛程度和总体症状改善程度明显更大(分别为 p = 0.016 和 p = 0.026)。仅使用五种代谢物,生物标记物模型就能准确预测微生物亚型(AUROC 0.797,灵敏度 78.6% (95% CI: 0.78-0.94),特异度 71.4% (95% CI: 0.55-0.88)):SCFAs含量高的代谢型可通过限制可发酵碳水化合物来控制,并与对这种饮食限制的临床反应增强相关。这意味着在特定的肠易激综合征生态位中产生的 SCFAs 具有促进痛觉的潜能。通过确定代谢型,可以准确预测微生物亚型。这样就可以有针对性地限制那些看起来反应最佳的人的 FODMAP:本研究由Addenbrooke慈善信托基金、剑桥大学附属医院和Wellcome Sanger研究所共同资助,并得到了剑桥生物医学研究中心(NIHR Cambridge Biomedical Research Centre)(BRC-1215-20014)的支持。
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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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