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Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics

《医学前沿（英文）》   页码 993-1005 doi: 10.1007/s11684-023-0989-7

摘要： Migraine is one of the most prevalent and disabling neurological disease, but the current pharmacotherapies show limited efficacy and often accompanied by adverse effects. Acupuncture is a promising complementary therapy, but further clinical evidence is needed. The influence of acupuncture on migraine is not an immediate effect, and its mechanism remains unclear. This study aims to provide further clinical evidence for the anti-migraine effects of acupuncture and explore the mechanism involved. A randomized controlled trial was performed among 10 normal controls and 38 migraineurs. The migraineurs were divided into blank control, sham acupuncture, and acupuncture groups. Patients were subjected to two courses of treatment, and each treatment lasted for 5 days, with an interval of 1 day between the two courses. The effectiveness of treatment was evaluated using pain questionnaire. The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes induced by treatments. Blood plasma was collected for metabolomics and proteomics studies. Correlation and mediation analyses were performed to investigate the interaction between clinical, fMRI and omics changes. Results showed that acupuncture effectively relieved migraine symptoms in a way different from sham acupuncture in terms of curative effect, affected brain regions, and signaling pathways. The anti-migraine mechanism involves a complex network related to the regulation of the response to hypoxic stress, reversal of brain energy imbalance, and regulation of inflammation. The brain regions of migraineurs affected by acupuncture include the lingual gyrus, default mode network, and cerebellum. The effect of acupuncture on patients’ metabolites/proteins may precede that of the brain.

关键词： acupuncture     migraine     fMRI     metabolome     proteome    

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Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

《医学前沿（英文）》 2020年 第14卷 第5期   页码 630-641 doi: 10.1007/s11684-019-0718-4

摘要： Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

关键词： mesial temporal lobe epilepsy     functional magnetic resonance imaging     structural magnetic resonance imaging     machine learning     support vector machine    

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参与中文配对词语联想学习记忆的脑区和神经机制——脑功能磁共振的研究

郑金龙,舒斯云,刘颂豪,郭周义,吴永明,包新民, 张增强,金梅,马翰章

《中国工程科学》 2008年 第10卷 第5期   页码 38-45

摘要：

通过脑功能磁共振技术，研究健康人参与语言的词语配对联想学习记忆任务的脑区和神经机制。对16名右利手健康志愿者进行一项词语配对联想学习记忆任务作业的同时，进行脑功能磁共振扫描。实验采用组块设计，实验任务（包括记忆编码相和记忆提取相）与对照任务（共两个相）交替进行；数据采用SPM99软件进行数据分析和脑功能区定位。结果表明：左侧额叶，特别是左侧额叶的额中下回和枕叶的18，19区在词语联想学习记忆的编码阶段中起重要作用；而左侧顶上小叶、缘上回和角回则在进行记忆提取阶段起重要作用；左侧纹状体边缘区参与了人脑词语联想学习记忆作业的编码阶段。揭示了人大脑完成语言联想学习记忆任务时，除额、顶、枕和颞叶的皮层结构参与外，还新发现有皮层下结构如纹状体参与了词语联想学习记忆。在配对词语的编码和提取阶段，激活的脑区有所变化，显示了这两个语言阶段的神经活动变化机制。

关键词： 人脑功能磁共振     配对词语     语言     联想学习记忆     皮层和皮层下结构    

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全氟化碳乳剂19F磁共振成像的最新进展 Review

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

《工程（英文）》 2015年 第1卷 第4期   页码 475-489 doi: 10.15302/J-ENG-2015103

摘要：

19F磁共振成像(MRI) 的研究可追溯到30多年前。在这30多年间，氢原子核(1H)成像技术迅速发展，并在全球得到广泛应用，使得磁共振成像成为生物医学诊断成像技术中不可缺少的支柱。多年来，由于各种原因，对19F成像技术的研究进展缓慢。但是在过去的十年间，尤其是最近几年，19F成像的研究和临床相关性呈爆发式发展。部分原因归结为MRI仪器、19F/1H线圈设计以及临床前和临床核磁共振仪的超高速脉冲序列的发展。这些成就再加上对解剖生理学分子成像技术的兴趣以及一批创新造影剂的出现使19F的概念进入了早期的临床评估中。本篇综述重点探讨以液态全氟化碳化合物为基础的造影剂，并试图呈现这段丰富的研究和发展历史。

关键词： 氟     磁共振成像(MRI)     双调线圈     全氟化碳     血管生成术     细胞标记    

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High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

《医学前沿（英文）》 2010年 第4卷 第3期   页码 294-302 doi: 10.1007/s11684-010-0092-8

摘要： High-intensity focused ultrasound (HIFU) is a technique to destroy tissue at depth within the body, selectively and without harming overlying and adjacent structures within the path of the beam because the ultrasonic intensity at the beam focus is much higher than that outside of the focus. Diagnostic ultrasound is the first imaging modality used for guiding HIFU ablation. In 1997, a patient with osteosarcoma was first successfully treated with ultrasound imaging-guided HIFU in Chongqing, China. Over the last decade, thousands of patients with uterine fibroids, liver cancer, breast cancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guided HIFU. Based on several research groups’ reports, as well as our ten-year clinical experience, we conclude that this technique is safe and effective in treating human solid tumors. HIFU is a promising technique. Most importantly, HIFU offers patients another alternative when those patients have no other treatment available.

关键词： high-intensity focused ultrasound (HIFU)     ultrasound imaging-guided HIFU (USgHIFU)     magnetic resonance imaging-guided HIFU (MRgHIFU)    

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基于双向深度生成模型和功能磁共振成像数据的大脑编码和解码 Review

杜长德, 李劲鹏, 黄利皆, 何晖光

《工程（英文）》 2019年 第5卷 第5期   页码 948-953 doi: 10.1016/j.eng.2019.03.010

摘要：

通过功能磁共振成像（fMRI）进行大脑编码和解码是视觉神经科学的两个重要方面。尽管以前的研究人员在大脑编码和解码模型方面取得了显著进步，但是现有方法仍需要使用先进的机器学习技术进行改进。例如，传统方法通常会分别构建编码和解码模型，并且容易对小型数据集过度拟合。实际上，有效地统一编码和解码过程可以进行更准确的预测。在本文中，我们首先回顾了现有的编码和解码方法，并讨论了“双向”建模策略的潜在优势。接下来，在体系结构和计算规则方面，我们证明了深度神经网络和人类视觉通路之间存在的对应关系。此外，深度生成模型[如变分自编码器（VAE）和生成对抗网络（GAN）]在大脑编码和解码研究中产生了可喜的成果。最后，我们提出了最初为机器翻译任务设计的对偶学习方法，该方法通过利用大规模未配对数据提高了编码和解码模型的效果。

关键词： 大脑编码和解码     功能磁共振成像     深度神经网络     深度生成模型     双重学习    

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Fluorescent probes and functional materials for biomedical applications

《化学科学与工程前沿（英文）》 2022年 第16卷 第10期   页码 1425-1437 doi: 10.1007/s11705-022-2163-1

摘要： Due to their simplicity in preparation, sensitivity and selectivity, fluorescent probes have become the analytical tool of choice in a wide range of research and industrial fields, facilitating the rapid detection of chemical substances of interest as well as the study of important physiological and pathological processes at the cellular level. In addition, many long-wavelength fluorescent probes developed have also proven applicable for in vivo biomedical applications including fluorescence-guided disease diagnosis and theranostics (e.g., fluorogenic prodrugs). Impressive progresses have been made in the development of sensing agents and materials for the detection of ions, organic small molecules, and biomacromolecules including enzymes, DNAs/RNAs, lipids, and carbohydrates that play crucial roles in biological and disease-relevant events. Here, we highlight examples of fluorescent probes and functional materials for biological applications selected from the special issues “Fluorescent Probes” and “Molecular Sensors and Logic Gates” recently published in this journal, offering insights into the future development of powerful fluorescence-based chemical tools for basic biological studies and clinical translation.

关键词： fluorescent probes     imaging     cell     biomedicine     biomolecules    

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Metabolomics in human type 2 diabetes research

null

《医学前沿（英文）》 2013年 第7卷 第1期   页码 4-13 doi: 10.1007/s11684-013-0248-4

摘要：

The high prevalence of diabetes and diabetic complications has caused a huge burden on the modern society. Although scientific advances have led to effective strategies for preventing and treating diabetes over the past several decades, little progress has been made toward curing the disease or even getting it under control, from a public health and overall societal standpoint. There is still a lack of reliable biomarkers indicative of metabolic alterations associated with diabetes and different drug responses, highlighting the need for the development of early diagnostic and prognostic markers for diabetes and diabetic complications. The emergence of metabolomics has allowed researchers to systemically measure the small molecule metabolites, which are sensitive to the changes of both environmental and genetic factors and therefore, could be regarded as the link between genotypes and phenotypes. During the last decade, the progression made in metabolomics has provided insightful information on disease development and disease onset prediction. Recent studies using metabolomics approach coupled with statistical tools to predict incident diabetes revealed a number of metabolites that are significantly altered, including branched-chain and aromatic amino acids, such as isoleucine, leucine, valine, tyrosine and phenylalanine, as diagnostic or highly-significant predictors of future diabetes. This review summarizes the current findings of metabolomic studies in human investigations with the most common form of diabetes, type 2 diabetes.

关键词： metabolomics     type 2 diabetes     metabolic pathway     mass spectrometry     nuclear magnetic resonance (NMR)    

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Functional magnetic nanoparticles for facile viable but nonculturable bacteria separation and purification

Chunming Wang, Huirong Lin, Chengsong Ye

《环境科学与工程前沿（英文）》 2016年 第10卷 第6期 doi: 10.1007/s11783-016-0874-6

摘要： The functional surface-modified MNPs were capable of capture with high efficiency. After induced to VBNC state by chlorination, cells could be separated by MNPs with an additional incubation process. This study provides a facile and economic method for VBNC cell enrichment and purification. GRAPHIC ABSTRACT Viable But Nonculturable (VBNC) Bacteria, which represent a unique population of microorganisms in drinking water systems, have become a potential threat to human health. Current studies on VBNC cells usually fail to obtain pure VBNC state bacteria, which may lead to inaccurate results. We therefore introduce a novel method of VBNC cell separation and purification in this paper. PAH-coated magnetic nanoparticles (MNPs) were synthesized and found to be capable of capturing and releasing bacterial cells with high efficiency. With the aid of an additional incubation step, VBNC cells were easily isolated and purified from normal bacteria using functional MNPs. Our method represents a new technique that can be utilized in studies of VBNCs.

关键词： Drinking water biosafety     VBNC     Nanoparticles     Magnetic separation and purification    

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Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

《化学科学与工程前沿（英文）》 2007年 第1卷 第3期   页码 304-309 doi: 10.1007/s11705-007-0056-y

摘要： With TiCl/MgCl (Ti) and Al(-Bu) (Al) as catalysts, the thermoplastic copolymer of 1-butene(Bt) and 1-hexene(He) was synthesized successfully. The effects of Bt/He, Ti/(He+Bt), Al/Ti, temperature and reaction time on conversion, catalyst efficiency(CE), intrinsic viscosity([η]) and insoluble content were studied. The copolymer was analyzed with Fourier transform-infrared (FTIR) and nuclear magnetic resonance (H-NMR). Results showed that the optimal polymerization conditions were: He/Bt = 0.25, temperature 40ºC–50ºC, Al/Ti = 400–500, Ti/(Bt+He) = 3×10-4*times;10, time 4 h. Intrinsic viscosity was found to increase with increasing Ti/(Bt+He) and decreasing Al/Ti and polymerization temperature. When the molar content of He, Al/Ti and polymerization temperature increased, the insoluble content in CHCl of copolymers decreased. When Ti/(Bt+He) and reaction time increased, the insoluble content in CHCl of copolymers also increased. The crystallization and stereoregularity of poly(1-butene) decreased with the addition of He.

关键词： reaction     conversion     temperature     polymerization temperature     magnetic resonance    

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SERS nanoprobes for bio-application

Han-Wen Cheng,Jin Luo,Chuan-Jian Zhong

《化学科学与工程前沿（英文）》 2015年 第9卷 第4期   页码 428-441 doi: 10.1007/s11705-015-1536-0

摘要： The ability to tune the size, shape, composition and surface properties impart nanoparticles with the desired functions for bio-application. This article highlights some of the recent examples in the exploration of metal (e.g., gold and silver) nanoparticles, especially those with magnetic properties and bio-conjugated structures, as theranostic nanoprobes. Such nanoprobes exhibit tunable optical, spectroscopic, magnetic, and electrical properties for signal amplifications. Examples discussed in this article will focus on the nanoproble-enhanced colorimetric detection and surface enhanced Raman scattering (SERS) detection of biomarkers or biomolecules such as proteins and DNAs. The understanding of factors controlling the biomolecular interactions is essential for the design of SERS nanoprobes with theranostic functions.

关键词： surface-enhanced Raman scattering     functional nanoprobes     bio-conjugation     metal nanoparticles     magnetic properties     theranostic materials    

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Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based constraint splitting augmented Lagrangian shrinkage algorithm

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

《信息与电子工程前沿（英文）》 2015年 第16卷 第12期   页码 1069-1087 doi: 10.1631/FITEE.1400423

摘要： Recently, dictionary learning (DL) based methods have been introduced to compressed sensing magnetic resonance imaging (CS-MRI), which outperforms pre-defined analytic sparse priors. However, single-scale trained dictionary directly from image patches is incapable of representing image features from multi-scale, multi-directional perspective, which influences the reconstruction performance. In this paper, incorporating the superior multi-scale properties of uniform discrete curvelet transform (UDCT) with the data matching adaptability of trained dictionaries, we propose a flexible sparsity framework to allow sparser representation and prominent hierarchical essential features capture for magnetic resonance (MR) images. Multi-scale decomposition is implemented by using UDCT due to its prominent properties of lower redundancy ratio, hierarchical data structure, and ease of implementation. Each sub-dictionary of different sub-bands is trained independently to form the multi-scale dictionaries. Corresponding to this brand-new sparsity model, we modify the constraint splitting augmented Lagrangian shrinkage algorithm (C-SALSA) as patch-based C-SALSA (PB C-SALSA) to solve the constraint optimization problem of regularized image reconstruction. Experimental results demonstrate that the trained sub-dictionaries at different scales, enforcing sparsity at multiple scales, can then be efficiently used for MRI reconstruction to obtain satisfactory results with further reduced undersampling rate. Multi-scale UDCT dictionaries potentially outperform both single-scale trained dictionaries and multi-scale analytic transforms. Our proposed sparsity model achieves sparser representation for reconstructed data, which results in fast convergence of reconstruction exploiting PB C-SALSA. Simulation results demonstrate that the proposed method outperforms conventional CS-MRI methods in maintaining intrinsic properties, eliminating aliasing, reducing unexpected artifacts, and removing noise. It can achieve comparable performance of reconstruction with the state-of-the-art methods even under substantially high undersampling factors.

关键词： Compressed sensing (CS)     Magnetic resonance imaging (MRI)     Uniform discrete curvelet transform (UDCT)     Multi-scale dictionary learning (MSDL)     Patch-based constraint splitting augmented Lagrangian shrinkage algorithm (PB C-SALSA)    

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Functional ferritin nanoparticles for biomedical applications

Zhantong Wang, Haiyan Gao, Yang Zhang, Gang Liu, Gang Niu, Xiaoyuan Chen

《化学科学与工程前沿（英文）》 2017年 第11卷 第4期   页码 633-646 doi: 10.1007/s11705-017-1620-8

摘要： Ferritin, a major iron storage protein with a hollow interior cavity, has been reported recently to play many important roles in biomedical and bioengineering applications. Owing to the unique architecture and surface properties, ferritin nanoparticles offer favorable characteristics and can be either genetically or chemically modified to impart functionalities to their surfaces, and therapeutics or probes can be encapsulated in their interiors by controlled and reversible assembly/disassembly. There has been an outburst of interest regarding the employment of functional ferritin nanoparticles in nanomedicine. This review will highlight the recent advances in ferritin nanoparticles for drug delivery, bioassay, and molecular imaging with a particular focus on their biomedical applications.

关键词： nanomedicine     ferritin     drug delivery     bioassay     molecular imaging    

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Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

《机械工程前沿（英文）》 2008年 第3卷 第2期   页码 222-225 doi: 10.1007/s11465-008-0028-z

摘要： The magnetic leakage field distribution resulting from linear defects of a tube sample in the geomagnetic field is modeled according to the magnetic dipole theory. The formula to compute the normal component of the weak magnetic field is deduced based on the spatial distribution of the magnetic dipole. The shape and characteristics of the zero line (an important criterion for magnetic memory testing) of the normal field is analyzed under different longitudinal magnetizations. Results show that the characteristics of the zero line should be considered when the metal magnetic memory testing method is used to find and locate the defect.

关键词： geomagnetic     theory     important criterion     magnetic leakage     normal component    

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Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

《结构与土木工程前沿（英文）》   页码 981-993 doi: 10.1007/s11709-023-0979-5

摘要： This study modeled the moving-vehicle-induced forcing excitation on a single-span prismatic bridge as a multiple frequency-multiplication harmonic load on the modal coordinates of a linear elastic simple Euler–Bernoulli beam, and investigated the forced modal oscillation and resonance behavior of this type of dynamic system. The forced modal responses consist of multiple frequency-multiplication steady-state harmonics and one damped mono-frequency complementary harmonic. The analysis revealed that a moving load induces high-harmonic forced resonance amplification when the moving speed is low. To verify the occurrence of high-harmonic forced resonance, numerical tests were conducted on single-span simple beams based on structural modeling using the finite element method (FEM) and a moving sprung-mass oscillator vehicle model. The forced resonance amplification characteristics of the fundamental mode for beam response estimation are presented with consideration to different end restraint conditions. The results reveal that the high-harmonic forced resonance may be significant for the investigated beams subjected to vehicle loads moving at specific low speeds. For the investigated single-span simple beams, the moving vehicle carriage heaving oscillation modulates the beam modal frequency, but does not induce notable variation of the modal oscillation harmonic structure for the cases that vehicle of small mass moves in low speed.

关键词： forced vibration     linear Euler beam     moving load     harmonic structure     frequency modulation     end restraints    

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标题 作者 时间 类型 操作

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics

期刊论文

Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

期刊论文

参与中文配对词语联想学习记忆的脑区和神经机制——脑功能磁共振的研究

郑金龙,舒斯云,刘颂豪,郭周义,吴永明,包新民, 张增强,金梅,马翰章

期刊论文

全氟化碳乳剂19F磁共振成像的最新进展

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

期刊论文

High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

期刊论文

基于双向深度生成模型和功能磁共振成像数据的大脑编码和解码

杜长德, 李劲鹏, 黄利皆, 何晖光

期刊论文

Fluorescent probes and functional materials for biomedical applications

期刊论文

Metabolomics in human type 2 diabetes research

null

期刊论文

Functional magnetic nanoparticles for facile viable but nonculturable bacteria separation and purification

Chunming Wang, Huirong Lin, Chengsong Ye

期刊论文

Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

期刊论文

SERS nanoprobes for bio-application

Han-Wen Cheng,Jin Luo,Chuan-Jian Zhong

期刊论文

Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based constraint splitting augmented Lagrangian shrinkage algorithm

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

期刊论文

Functional ferritin nanoparticles for biomedical applications

Zhantong Wang, Haiyan Gao, Yang Zhang, Gang Liu, Gang Niu, Xiaoyuan Chen

期刊论文

Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

期刊论文

Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

期刊论文