Recently, advancement in materials production, device fabrication, and flexible circuit has led to the huge prosperity of wearable electronics for human healthcare monitoring and medical diagnosis. ...Particularly, with the emergence of 2D materials many merits including light weight, high stretchability, excellent biocompatibility, and high performance are used for those potential applications. Thus, it is urgent to review the wearable electronics based on 2D materials for the detection of various human signals. In this work, the typical graphene‐based materials, transition‐metal dichalcogenides, and transition metal carbides or carbonitrides used for the wearable electronics are discussed. To well understand the human physiological information, it is divided into two dominated categories, namely, the human physical and the human chemical signals. The monitoring of body temperature, electrograms, subtle signals, and limb motions is described for the physical signals while the detection of body fluid including sweat, breathing gas, and saliva is reviewed for the chemical signals. Recent progress and development toward those specific utilizations are highlighted in the Review with the representative examples. The future outlook of wearable healthcare techniques is briefly discussed for their commercialization.
Wearable electronics based on 2D materials including graphene, transition‐metal dichalcogenides, and transition metal carbides or carbonitrides are reviewed, which display great potential in the applications of human healthcare information detection.
Metabolomics is the systematic study of all the metabolites present within a biological system, which consists of a mass of molecules, having a variety of physical and chemical properties and ...existing over an extensive dynamic range in biological samples. Diverse analytical techniques are needed to achieve higher coverage of metabolites. The application of mass spectrometry (MS) in metabolomics has increased exponentially since the discovery and development of electrospray ionization and matrix-assisted laser desorption ionization techniques. Significant advances have also occurred in separation-based MS techniques (gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, capillary electrophoresis-mass spectrometry, and ion mobility-mass spectrometry), as well as separation-free MS techniques (direct infusion-mass spectrometry, matrix-assisted laser desorption ionization-mass spectrometry, mass spectrometry imaging, and direct analysis in real time mass spectrometry) in the past decades. This review presents a brief overview of the recent advanced MS techniques and their latest applications in metabolomics. The software/websites for MS result analyses are also reviewed.
Metabolomics is the systematic study of all the metabolites present within a biological system, supply functional information and has received extensive attention in the field of life sciences.
2D transition metal chalcogenide (TMDC) materials, such as MoS2, have recently attracted considerable research interest in the context of their use in ultrascaled devices owing to their excellent ...electronic properties. Microprocessors and neural network circuits based on MoS2 have been developed at a large scale but still do not have an advantage over silicon in terms of their integrated density. In this study, the current structures, contact engineering, and doping methods for 2D TMDC materials for the scaling‐down process and performance optimization are reviewed. Devices are introduced according to a new mechanism to provide the comprehensive prospects for the use of MoS2 beyond the traditional complementary–metal–oxide semiconductor in order to summarize obstacles to the goal of developing high‐density and low‐power integrated circuits (ICs). Finally, prospects for the use of MoS2 in large‐scale ICs from the perspectives of the material, system performance, and application to nonlogic functionalities such as sensor circuits and analogous circuits, are briefly analyzed. The latter issue is along the direction of “more than Moore” research.
2D materials show great potential to enable the transistor scaling down below 1 nm node. This review focuses on the introduction of the optimization of 2D materials‐based transistor, new mechanisms, design flow, and circuits, which indicate the trend of 2D transistors toward very large‐scale integrated circuits.
The human body is a "delicate machine" full of sensors such as the fingers, nose, and mouth. In addition, numerous physiological signals are being created every moment, which can reflect the ...condition of the body. The quality and the quantity of the physiological signals are important for diagnoses and the execution of therapies. Due to the incompact interface between the sensors and the skin, the signals obtained by commercial rigid sensors do not bond well with the body; this decreases the quality of the signal. To increase the quantity of the data, it is important to detect physiological signals in real time during daily life. In recent years, there has been an obvious trend of applying graphene devices with excellent performance (flexibility, biocompatibility, and electronic characters) in wearable systems. In this review, we will first provide an introduction about the different methods of synthesis of graphene, and then techniques for graphene patterning will be outlined. Moreover, wearable graphene sensors to detect mechanical, electrophysiological, fluid, and gas signals will be introduced. Finally, the challenges and prospects of wearable graphene devices will be discussed. Wearable graphene sensors can improve the quality and quantity of the physiological signals and have great potential for health-care and telemedicine in the future.
Noncoding RNAs in acute kidney injury Ren, Gui‐Ling; Zhu, Jie; Li, Jun ...
Journal of cellular physiology,
March 2019, Letnik:
234, Številka:
3
Journal Article
Recenzirano
Acute kidney injury (AKI), caused by various stimuli including ischemia reperfusion, nephrotoxic insult, and sepsis, is characterized by abrupt decline of kidney function. Till now, the molecular ...mechanisms for AKI have not been fully explored and the effective therapies are still lacking. Noncoding RNAs (ncRNAs), a group of biomolecules function at RNA level, are involved in a wide range of physiopathological processes including AKI. MicroRNAs (miRNAs) are the most extensively studied ncRNAs in AKI. Evidence indicated that miRNAs are altered significantly in various types of AKI. Gain‐and‐loss‐of‐function studies demonstrated that miRNAs, such as miR‐24, miR‐126, miR‐494, and miR‐687, may bind to the 3′‐untranslated region of their target genes to regulate inflammation, programmed cell death, and cell cycle in the injury and repair stages of AKI, indicating their therapeutic potential in AKI. In contrast, functions of long noncoding RNAs and circular RNAs in AKI are hot topics but still largely unknown. Additionally, ncRNAs packaged in exosome can be detected in circulation and urine, they may serve as specific biomarkers for AKI. This review summarized the alteration and functional role of ncRNAs and their therapeutic potential in AKI.
As the aging population increases in many countries, electronic skin (e‐skin) for health monitoring has been attracting much attention. However, to realize the industrialization of e‐skin, two ...factors must be optimized. The first is to achieve high comfort, which can significantly improve the user experience. The second is to make the e‐skin intelligent, so it can detect and analyze physiological signals at the same time. In this article, intelligent and multifunctional e‐skin consisting of laser‐scribed graphene and polyurethane (PU) nanomesh is realized with high comfort. The e‐skin can be used as a strain sensor with large measurement range (>60%), good sensitivity (GF≈40), high linearity range (60%), and excellent stability (>1000 cycles). By analyzing the morphology of e‐skin, a parallel networks model is proposed to express the mechanism of the strain sensor. In addition, laser scribing is also applied to etch the insulating PU, which greatly decreases the impedance in detecting electrophysiology signals. Finally, the e‐skin is applied to monitor the electrocardiogram, electroencephalogram (EEG), and electrooculogram signals. A time‐ and frequency‐domain concatenated convolution neural network is built to analyze the EEG signal detected using the e‐skin on the forehead and classify the attention level of testers.
In this work, intelligent graphene electronic skin (e‐skin) is realized. The graphene nanomesh e‐skin has good skin compatibility and water vapor permeability, which leads to high comfort. Combining good piezoresistive effect, high conductivity, and intelligent algorithm, the e‐skin can be used to detect physiological signals, such as breath, pulse, electrocardiogram, and distinguish electroencephalograms.
Sensors enable the detection of physiological indicators and pathological markers to assist in the diagnosis, treatment, and long-term monitoring of diseases, in addition to playing an essential role ...in the observation and evaluation of physiological activities. The development of modern medical activities cannot be separated from the precise detection, reliable acquisition, and intelligent analysis of human body information. Therefore, sensors have become the core of new-generation health technologies along with the Internet of Things (IoTs) and artificial intelligence (AI). Previous research on the sensing of human information has conferred many superior properties on sensors, of which biocompatibility is one of the most important. Recently, biocompatible biosensors have developed rapidly to provide the possibility for the long-term and in-situ monitoring of physiological information. In this review, we summarize the ideal features and engineering realization strategies of three different types of biocompatible biosensors, including wearable, ingestible, and implantable sensors from the level of sensor designing and application. Additionally, the detection targets of the biosensors are further divided into vital life parameters (e.g., body temperature, heart rate, blood pressure, and respiratory rate), biochemical indicators, as well as physical and physiological parameters based on the clinical needs. In this review, starting from the emerging concept of next-generation diagnostics and healthcare technologies, we discuss how biocompatible sensors revolutionize the state-of-art healthcare system unprecedentedly, as well as the challenges and opportunities faced in the future development of biocompatible health sensors.
Understanding the genetic changes underlying phenotypic variation in sheep (Ovis aries) may facilitate our efforts towards further improvement. Here, we report the deep resequencing of 248 sheep ...including the wild ancestor (O. orientalis), landraces, and improved breeds. We explored the sheep variome and selection signatures. We detected genomic regions harboring genes associated with distinct morphological and agronomic traits, which may be past and potential future targets of domestication, breeding, and selection. Furthermore, we found non-synonymous mutations in a set of plausible candidate genes and significant differences in their allele frequency distributions across breeds. We identified PDGFD as a likely causal gene for fat deposition in the tails of sheep through transcriptome, RT-PCR, qPCR, and Western blot analyses. Our results provide insights into the demographic history of sheep and a valuable genomic resource for future genetic studies and improved genome-assisted breeding of sheep and other domestic animals.
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