In vivo spatiotemporal acquisition of metabolic vibrational signatures for unraveling gastric ulcer genesis

IF 12.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL
Yuqi Cheng , Lingjin Zhao , Yijing Wen , Zhen Ren , Jiayu Zeng , Rui Shi , Xinqi Cai , Qian Dong , Long Chen , Changwei Lin , Zhuo Chen
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Abstract

Metabolic abnormalities in gastric juice usually directly reflect pathological changes of the gastric mucosa. Accurate in-situ gastric metabolic dynamics acquisition is crucial for understanding the occurrence and development of gastric diseases but is challenging. Here, an integrated magnetoplasmonic system (MPS) for long-term spatiotemporal metabolic information profiling and ulcer assessment in vivo is presented. Porous calcium alginate-silver plasmonic hydrogel shell and FeCo@Graphene magnetic core were fabricated into the durable magnetoplasmonic system via a coaxial electrospinning technique. MPS pumped gastric juice through enriching, filtering and magnetic actuation, which had synergistic effect on improving efficient capture of free-metabolites with promotion of 9.76 times. Multiplexed metabolites vibration fingerprint profiles were concurrently determined both in harsh simulated gastric fluid (SGF) and isolated stomach models. We also successfully achieved acquisition of in-situ metabolites changes within rat stomach. Marginal histograms, derived from time-resolved surface-enhanced Raman spectroscopy (SERS) investigations of free small molecules adenine, tyrosine, and phenylalanine, suggested a positive correlation in metabolite levels across different stages. Moreover, ulcers revelation was accomplished with high precision through leveraging spectral dimensionality reduction and random forest classification of SERS profiles. Metabolites correlation analysis indicated that Raman signal appearing at 1602 cm−1 and 2112 cm−1 corresponding to phenylalanine and amine exhibited strong positive correlations following ulcer onset. This research represents the first endeavor to profile in-situ metabolic information within stomach and explore their correlations during the genesis of disease, demonstrating its potential in facilitating clinical diagnosis.

Abstract Image

在体内时空获取代谢振动特征以揭示胃溃疡的发生
胃液代谢异常通常直接反映胃粘膜的病理变化。准确的原位胃代谢动力学获取对于了解胃疾病的发生和发展至关重要,但具有挑战性。本文介绍了一种集成磁等离子体系统(MPS),用于长期时空代谢信息分析和体内溃疡评估。采用同轴静电纺丝技术制备了多孔藻酸钙-银等离子体水凝胶壳和FeCo@Graphene磁芯,形成了耐用的磁等离子体体系。MPS通过富集、过滤、磁驱动等方式泵送胃液,对提高游离代谢物的捕获效率具有协同效应,提高了9.76倍。在严酷的模拟胃液(SGF)和分离胃模型中同时确定了多重代谢物振动指纹图谱。我们还成功地获得了大鼠胃内原位代谢物的变化。边缘直方图来源于时间分辨表面增强拉曼光谱(SERS)对游离小分子腺嘌呤、酪氨酸和苯丙氨酸的研究,表明不同阶段代谢物水平呈正相关。此外,通过利用光谱降维和SERS谱的随机森林分类,可以高精度地完成溃疡的发现。代谢物相关性分析表明,在1602 cm−1和2112 cm−1处出现的拉曼信号对应于苯丙氨酸和胺,在溃疡发病后表现出很强的正相关。本研究首次尝试分析胃内的原位代谢信息,并探索其在疾病发生过程中的相关性,显示其在促进临床诊断方面的潜力。
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来源期刊
Biomaterials
Biomaterials 工程技术-材料科学:生物材料
CiteScore
26.00
自引率
2.90%
发文量
565
审稿时长
46 days
期刊介绍: Biomaterials is an international journal covering the science and clinical application of biomaterials. A biomaterial is now defined as a substance that has been engineered to take a form which, alone or as part of a complex system, is used to direct, by control of interactions with components of living systems, the course of any therapeutic or diagnostic procedure. It is the aim of the journal to provide a peer-reviewed forum for the publication of original papers and authoritative review and opinion papers dealing with the most important issues facing the use of biomaterials in clinical practice. The scope of the journal covers the wide range of physical, biological and chemical sciences that underpin the design of biomaterials and the clinical disciplines in which they are used. These sciences include polymer synthesis and characterization, drug and gene vector design, the biology of the host response, immunology and toxicology and self assembly at the nanoscale. Clinical applications include the therapies of medical technology and regenerative medicine in all clinical disciplines, and diagnostic systems that reply on innovative contrast and sensing agents. The journal is relevant to areas such as cancer diagnosis and therapy, implantable devices, drug delivery systems, gene vectors, bionanotechnology and tissue engineering.
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