Laboratory of Experimental Biochemistry & Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy.
School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
J Transl Med. 2024 Feb 9;22(1):143. doi: 10.1186/s12967-024-04948-8.
Bone is a metabolically active tissue containing different cell types acting as endocrine targets and effectors. Further, bone is a dynamic depot for calcium, phosphorous and other essential minerals. The tissue matrix is subjected to a constant turnover in response to mechanical/endocrine stimuli. Bone turnover demands high energy levels, making fatty acids a crucial source for the bone cells. However, the current understanding of bone cell metabolism is poor. This is partly due to bone matrix complexity and difficulty in small molecules extraction from bone samples. This study aimed to evaluate the effect of metabolite sequestering from a protein-dominated matrix to increase the quality and amount of metabolomics data in discovering small molecule patterns in pathological conditions.
Human bone samples were collected from 65 to 85 years old (the elderly age span) patients who underwent hip replacement surgery. Separated cortical and trabecular bone powders were treated with decalcifying, enzymatic (collagenase I and proteinase K) and solvent-based metabolite extraction protocols. The extracted mixtures were analyzed with the high-resolution mass spectrometry (HRMS). Data analysis was performed with XCMS and MetaboAnalystR packages.
Fast enzymatic treatment of bone samples before solvent addition led to a significantly higher yield of metabolite extraction. Collagenase I and proteinase K rapid digestion showed more effectiveness in cortical and trabecular bone samples, with a significantly higher rate (2.2 folds) for collagenase I. Further analysis showed significant enrichment in pathways like de novo fatty acid biosynthesis, glycosphingolipid metabolism and fatty acid oxidation-peroxisome.
This work presents a novel approach for bone sample preparation for HRMS metabolomics. The disruption of bone matrix conformation at the molecular level helps the molecular release into the extracting solvent and, therefore, can lead to higher quality results and trustable biomarker discovery. Our results showed β-oxidation alteration in the aged bone sample. Future work covering more patients is worthy to identify the effective therapeutics to achieve healthy aging.
骨骼是一种代谢活跃的组织,其中包含不同的细胞类型,这些细胞作为内分泌靶标和效应器发挥作用。此外,骨骼是钙、磷和其他必需矿物质的动态储存库。组织基质会根据机械/内分泌刺激不断更新。骨转换需要高能量水平,这使得脂肪酸成为骨骼细胞的重要来源。然而,目前对骨骼细胞代谢的理解还很有限。这部分是由于骨骼基质的复杂性以及从小分子骨骼样本中提取的困难。本研究旨在评估从以蛋白质为主的基质中分离代谢物对增加代谢组学数据质量和数量的影响,以发现病理条件下小分子的模式。
从接受髋关节置换手术的 65 至 85 岁(老年年龄段)患者中收集人骨样本。分离的皮质和松质骨粉末用脱钙、酶(胶原酶 I 和蛋白酶 K)和基于溶剂的代谢物提取方案处理。用高分辨率质谱(HRMS)分析提取的混合物。使用 XCMS 和 MetaboAnalystR 软件包进行数据分析。
在添加溶剂之前,快速酶处理骨样本来提高代谢物提取的产率。胶原酶 I 和蛋白酶 K 的快速消化在皮质和松质骨样本中显示出更高的效果,胶原酶 I 的效果明显更高(2.2 倍)。进一步分析表明,新脂肪酸生物合成、糖脂代谢和脂肪酸氧化-过氧化物酶体等途径显著富集。
本工作提出了一种用于 HRMS 代谢组学的骨样本制备的新方法。分子水平上破坏骨骼基质构象有助于分子释放到提取溶剂中,因此可以得到更高质量的结果和可靠的生物标志物发现。我们的结果显示,老年骨样本中的β-氧化发生了改变。未来的工作涵盖更多的患者,值得识别有效的治疗方法,以实现健康老龄化。