A highly sensitive fluorescence sensor for tobacco mosaic virus RNA based on DSN cycle and ARGET ATRP double signal amplification.

Early and sensitive detection of tobacco mosaic virus (TMV) is of great significance for improving crop yield and protecting germplasm resources. Herein, we constructed a novel fluorescence sensor to detect TMV RNA (tRNA) through double strand specific nuclease (DSN) cycle and activator regenerative electron transfer atom transfer radical polymerization (ARGET ATRP) dual signal amplification strategy. The hairpin DNA complementarily paired with tRNA was used as a recognition unit to specifically capture tRNA. By the double-stranded DNA hydrolyzed with DSN, tRNA is released to open more hairpin DNA, and more complementary DNA (cDNA) is bound to the surface of the magnetic beads (MBs) to achieve the first amplification. After binding with the initiator, the cDNA employed ARGET ATRP to attach more fluorescent signal molecules to the surface of MBs, thus achieving the second signal amplification. Under the optimal experimental conditions, the logarithm of fluorescence intensity versus tRNA concentration showed a good linear relationship in the range of 0.01-100 pM, with a detection limit of 1.03 fM. The limit of detection (LOD) was calculated according to LOD = 3 N/S. Besides, the sensor showed good reproducibility and stability, which present provided new method for early and highly sensitive detection for plant viruses.

Nitrogen-Doped Graphene Quantum Dots as Electrochemiluminescence-Emitting Species for Sensitive Detection of KRAS G12C Mutation via PET-RAFT.

The levels of KRAS G12C point mutation is recognized to be closely related to the earlier diagnosis of non-small cell lung cancer (NSCLC). Here, based on nitrogen-doped graphene quantum dots (NGQDs) and photo-induced electron/energy transfer reversible addition-fragment chain transfer (PET-RAFT) signal amplification strategy, we fabricated a novel electrochemiluminescence (ECL) biosensor for the detection of KRAS G12C mutation for the first time. NGQDs as ECL-emitting species with cathodic ECL were prepared by a simple calcination method. Firstly, KRAS G12C mutation DNA, i. e., target DNA (tDNA), was captured by specific identification with hairpin DNA (hDNA). Then, PET-RAFT was initiated by blue light, and large numbers of monomers were successfully polymerized to form controllable polymer chains. Lastly, massive NGQDs was introduced via amidation reaction with N-(3-aminopropyl)methacrylamide hydrochloride (APMA), which significantly amplified the ECL signal intensity. Under optimal conditions, this biosensor achieved a good linear relationship between ECL intensity and logarithm of the levels of KRAS G12C mutation in the range from 10 fM to 10 nM. Moreover, this strategy exhibited high selectivity and excellent applicability for KRAS G12C mutation detection in the serum samples. Therefore, this biosensor has great potential in clinical diagnosis and practical application.

Extracellular signals regulate the biogenesis of extracellular vesicles.

Extracellular vesicles (EVs) are naturally released membrane vesicles that act as carriers of proteins and RNAs for intercellular communication. With various biomolecules and specific ligands, EV has represented a novel form of information transfer, which possesses extremely outstanding efficiency and specificity compared to the classical signal transduction. In addition, EV has extended the concept of signal transduction to intercellular aspect by working as the collection of extracellular information. Therefore, the functions of EVs have been extensively characterized and EVs exhibit an exciting prospect for clinical applications. However, the biogenesis of EVs and, in particular, the regulation of this process by extracellular signals, which are essential to conduct further studies and support optimal utility, remain unclear. Here, we review the current understanding of the biogenesis of EVs, focus on the regulation of this process by extracellular signals and discuss their therapeutic value.

Fluorescent assay of alkaline phosphatase activity via atom transfer radical polymerization.

A novel fluorescence assay is proposed through activators regenerated by electron transfer atom transfer radical polymerization (ARGET ATRP) strategy for alkaline phosphatase (ALP) activity detection. First of all, 2-bromo-2-methylpropionic acid (BMP) was employed as the initiator to modify on the surface of the magnetic nanoparticle (Fe3O4-MNP) by amide bonding. Then, ascorbic acid (AA) produced by ALP catalyzed the phosphate group removal from L-ascorbic acid 2-phosphate sesquimagnesium salt hydrate (AAPS), which underwent a redox reaction with Cu(II) and the product Cu(I) triggered the ARGET ATRP reaction. Finally, a strong fluorescent signal could be detected at 514 nm due to numerous fluorescent monomers being grafted to the Fe3O4-MNPs surface (Ex = 490 nm, Em = 514 nm). Under optimal experimental conditions, the linear range of this fluorometric assay for ALP activity was 1-80 mU mL-1, and the detection limit was 0.68 mU mL-1. The method exhibited excellent selectivity and satisfactory results were obtained in the inhibition rate and human serum experiments. Therefore, this ALP activity detection strategy has great potential for clinically relevant disease detection and drug screening. A novel fluorescence strategy for alkaline phosphatase activity detection based on the dephosphorylation property of alkaline phosphatase and ARGET ATRP reaction.

[Material basis of stench of animal medicine: a review].

Despite the distinctive characteristics and remarkable efficacy, animal medicine is stenchy, which decreases the comp-liance of patients. At the moment, the research on the method for deodorizing animal medicines lags behind. To be specific, the components related to the odor and the basic properties transformation of the components are unclear and there is a lack of specific deodorizing method. This study aims to clarify the main components related to the stench of animal medicine, such as aldehydes, amines, trimethylamines and sulfur compounds, and their basic properties, and to explore their metabolism and transformation in vivo and in vitro, which is expected to serve as a reference for the research on deodorization of animal medicine and development of new techniques.

[Correlation between internal damage due to seven emotions in traditional Chinese medicine and pathogenesis of breast cancer from perspective of psychological stress].

Breast cancer is a major chronic disease threatening women's health. It has topped the global cancers as the diagnosed cases outnumbered lung cancer patients in 2020. Internal damage due to the seven emotions is an important cause of breast cancer and the disorders of hypothalamic-pituitary-adrenal(HPA) axis and endocrine system and the abnormal immune defense mechanism in response to psychological stress all affect the occurrence and development of breast cancer. It is noteworthy that the theory of seven emotions in traditional Chinese medicine and the psychological stress theory of modern medicine have something in common in some aspects. Therefore, this study explored the correlation between internal damage due to the seven emotions and psychological stress and analyzed the molecular biological mechanisms of psychological stress influencing breast cancer from the perspective of modern medicine, which is helpful to reasonably prevent breast cancer and other related tumors and improve the prognosis of breast cancer patients through emotion regulation.

[Microbial community structure and transformation of indoles in soaking and fermentation of Indigo Naturalis].

The soaking and fermentation of Baphicacanthus cusia( Nees),the important intermediate link of Indigo Naturalis processing,facilitates the synthesis of indigo and indirubin precursors and the dissolution of endogenous enzymes and other effective components,while the role of microorganisms in the fermentation is ignored. The present study investigated the changes of microbial community structure in Indigo Naturalis processing based on 16 S amplicon sequencing and bioinformatics. Meanwhile,the contents of indigo,indirubin,isatin,tryptanthrin,indole glycoside,etc. were determined to explore the correlation between the microorganisms and the alterations of the main components. As demonstrated by the results,the microbial diversity decreased gradually with the fermentation,which bottomed out after the addition of lime. Proteobacteria,Bacteroidetes,and Firmicutes were the main dominant communities in the fermentation. The relative abundance of Proteobacteria declined gradually with the prolongation of fermentation time,and to the lowest level after the addition of lime. The relative abundance of Firmicutes increased,and that of Bacteroidetes decreased first and then increased. The contents of effective substances in Indigo Naturalis also showed different variation tendencies. As fermentation went on,indole glycoside decreased gradually; indigo first increased and then decreased; indirubin and isatin first decreased and then increased; tryptanthrin gradually increased. Those changes were presumedly related to the roles of microorganisms in the synthesis of different components. This study preliminarily clarified the important role of microorganisms in the soaking and fermentation and provided a scientific basis for the control of Indigo Naturalis processing and the preparation of high-quality Indigo Naturalis.

[Changes in forms of Indigo Naturalis slices in ancient and modern times: a systematic study on quality of purified Indigo Naturalis and crude Indigo Naturalis].

Indigo Naturalis has a long history of medicinal use with particularity and complexity in its processing. Before the Ming dynasty,Indigo Naturalis was extracted from the top layer of zymotic fluid,called " purified Indigo Naturalis". In modern processing,the precipitate " crude Indigo Naturalis" is dried to produce Indigo Naturalis after impurity removal. The form of Indigo Naturalis slices has undergone significant changes in ancient and modern times. In view of this,the quality comparison between crude Indigo Naturalis and purified Indigo Naturalis was conducted in this study with modern analytical techniques. Firstly,chemical composition was analyzed with UPLC-Q-TOF-MS,and the chemical composition of scent with HS-SPME/GC-MS/MS. The content of indigo,indirubin,total ash,and water-soluble extract was determined as well as the inorganic composition in crude Indigo Naturalis and purified Indigo Naturalis. Then,their microscopic morphology was observed and the surface element composition was investigated. Finally,the antipyretic activities of crude Indigo Naturalis and purified Indigo Naturalis were compared in the fever rat model induced by lipopolysaccharide and 2,4-dinitrophenol. The results demonstrated that the purified Indigo Naturalis had a faster and more lasting antipyretic effect,while the crude Indigo Naturalis had almost no antipyretic effect. This study is of great significance to the research on processing technology of Indigo Naturalis and provides reference for the formulation of its quality standards,production specifications and calibration procedures.

Advances in molecular mechanisms of drugs affecting abnormal glycosylation and metastasis of breast cancer.

Breast cancer remains the leading cause of cancer-related death among women worldwide, and its incidence is also increasing. High recurrence rate and metastasis rate are the key causes of poor prognosis and death. It is suggested that abnormal glycosylation plays an important role in the growth, invasion, metastasis and resistance to therapy of breast cancer cells. Meanwhile, it can be used as the biomarkers for the early detection and prognosis of breast cancer and the potential attractive targets for drug treatment. However, only a few attentions have been paid to the molecular mechanism of abnormal glycosylation in the epithelial-mesenchymal transition (EMT) of breast cancer cells and the related intervention of drugs. This manuscript thus investigated the relationship between abnormal glycosylation, the EMT, and breast cancer metastasis. Then, the process of abnormal glycosylation, the classification and their molecular regulatory mechanisms of breast cancer were analyzed in detail. Last, potential drugs are introduced in different categories, which are expected to reverse or intervene the abnormal glycosylation of breast cancer. This review is conducive to an in-depth understanding of the metastasis and drug resistance of breast cancer cells, which will provide new ideas for the clinical regulation of glycosylation and related drug treatments in breast cancer.

[Accurate positioning and analysis on health function of high frequency anti-fatigue herbal medicines].

Fatigue is a widespread and complex physiological phenomenon. Chronic fatigue can lead to cardiovascular dysfunction, mental disorders and other serious pathological reactions. Therefore, how to relieve fatigue accurately and effectively is an important proposition to implement the concept of "Healthy China" in the new era. As an important part of Chinese medicine health industry, Chinese medicine health food has been developing rapidly in recent years. At present, there are 1 157 kinds of anti-fatigue health food on the market in China, most of which are single Chinese medicine and its compound. However, their functions are generally labeled as "anti-fatigue", and their function positioning is too extensive and unclear. With the deepened understanding of fatigue classification and its physiological and pathological basis, it is urgent to be combined with the progress of modern chemical and pharmacological stu-dies to differentiate and precisely position the anti-fatigue health effects of traditional Chinese medicine. For this purpose, the classifications of fatigue were summarized in this paper, and the mechanism of fatigue was explained from the aspects of energy metabolism, accumulation of metabolites, oxidative stress, inflammation, hypothalamus pituitary adrenal axis and so on. We selected 10 traditional Chinese medicines which are most frequently used in health food, analyzed their anti-fatigue effect mechanisms, and summarized the best types of anti-fatigue food, so as to promote the scientific development of anti-fatigue health food industry, expand the market application scope of anti-fatigue health food, better respond to the construction of a healthy China and serve for people's health.

Imaging nucleus viscosity and G-quadruplex DNA in living cells using a nucleus-targeting two-photon fluorescent probe.

A two-photon fluorescent probe, TP-2Bz, was designed and synthesized and it exhibited good targeting capabilities toward cell nuclei. In particular, TP-2Bz demonstrated a high selectivity to both G-quadruplex DNA and viscosity inside the nucleus with significant ratiometric enhancement in fluorescence, providing a specific, versatile imaging tool for analyzing the viscosity and G-quadruplex DNA in living cells.

Taxonomic status of Tetraophasis obscurus and Tetraophasis szechenyii (Aves: Galliformes: Phasianidae) based on the complete mitochondrial genome.

Tetraophasis szechenyii and T. obscurus are endangered phasianid birds endemic to China. Historically, the question of whether T. obscurus and T. szechenyii are valid species or subspecies has been controversial. In order to clarify their phylogenetic relationship, we sequenced the complete mitochondrial genome of T. obscurus and, using the complete mitochondrial genome of T. szechenyii, which our lab had already sequenced, conducted Bayesian and maximum-likelihood phylogenetic analyses based on the sequences of 12 concatenated heavy-strand encoded protein-coding genes. Genetic distance and divergence time between the two species were also calculated. The complete mitochondrial genome of T. obscurus was 16,707 bases (accession no.: NC_018034), and its structure was similar to mitochondrial genomes reported for other phasianids. The genetic distance between T. obscurus and T. szechenyii was 0.028, and the divergence time of T. obscurus and T. szechenyii was 1.75 Myr. Considering the genetic distance and divergence time, as well as geographical distribution and morphological differences, we suggest that T. obscurus and T. szechenyii are two valid species. The Pleistocene glacial events in the Hengduan Mountains region may have played an important role in the speciation of T. obscurus and T. szechenyii.

Empowering Exosomes with Aptamers for Precision Theranostics.

As information messengers for cell-to-cell communication, exosomes, typically small membrane vesicles (30-150 nm), play an imperative role in the physiological and pathological processes of living systems. Accumulating studies have demonstrated that exosomes are potential biological candidates for theranostics, including liquid biopsy-based diagnosis and drug delivery. However, their clinical applications are hindered by several issues, especially their unspecific detection and insufficient targeting ability. How to upgrade the accuracy of exosome-based theranostics is being widely explored. Aptamers, benefitting from their admirable characteristics, are used as excellent molecular recognition elements to empower exosomes for precision theranostics. With high affinity against targets and easy site-specific modification, aptamers can be incorporated with platforms for the specific detection of exosomes, thus providing opportunities for advancing disease diagnostics. Furthermore, aptamers can be tailored and functionalized on exosomes to enable targeted therapeutics. Herein, this review emphasizes the empowering of exosomes by aptamers for precision theranostics. A brief introduction of exosomes and aptamers is provided, followed by a discussion of recent progress in aptamer-based exosome detection for disease diagnosis, and the emerging applications of aptamer-functionalized exosomes for targeted therapeutics. Finally, current challenges and opportunities in this research field are presented.

Event-Based Switching Iterative Learning Model Predictive Control for Batch Processes With Randomly Varying Trial Lengths.

Iterative learning model predictive control (ILMPC) has been recognized as an excellent batch process control strategy for progressively improving tracking performance along trials. However, as a typical learning-based control method, ILMPC generally requires the strict identity of trial lengths to implement 2-D receding horizon optimization. The randomly varying trial lengths extensively existing in practice can result in the insufficiency of learning prior information, and even the suspension of control update. Regarding this issue, this article embeds a novel prediction-based modification mechanism into ILMPC, to adjust the process data of each trial into the same length by compensating the data of absent running periods with the predictive sequences at the end point. Under this modification scheme, it is proved that the convergence of the classical ILMPC is guaranteed by an inequality condition relative with the probability distribution of trial lengths. Considering the practical batch process with complex nonlinearity, a 2-D neural-network predictive model with parameter adaptability along trials is established to generate highly matched compensation data for the prediction-based modification. To best utilize the real process information of multiple past trials while guaranteeing the learning priority of the latest trials, an event-based switching learning structure is proposed in ILMPC to determine different learning orders according to the probability event with respect to the trial length variation direction. The convergence of the nonlinear event-based switching ILMPC system is analyzed theoretically under two situations divided by the switching condition. The simulations on a numerical example and the injection molding process verify the superiority of the proposed control methods.

Highly sensitive fluorescence detection of tobacco mosaic virus RNA based on polysaccharide and ARGET ATRP double signal amplification.

Plant diseases caused by tobacco mosaic viruses (TMV) reduce the yield and quality of crops and cause significant losses. Early detection and prevention of TMV has important value of research and reality. Herein, a fluorescent biosensor was constructed for highly sensitive detection of TMV RNA (tRNA) based on the principle of base complementary pairing, polysaccharides and atom transfer radical polymerization by electron transfer activated regeneration catalysts (ARGET ATRP) as double signal amplification strategy. The 5'-end sulfhydrylated hairpin capture probe (hDNA) was first immobilized on amino magnetic beads (MBs) by a cross-linking agent, which specifically recognizes tRNA. Then, chitosan binds to BIBB, providing numerous active sites for fluorescent monomer polymerization, which successfully significantly amplifying the fluorescent signal. Under optimal experimental conditions, the proposed fluorescent biosensor for the detection of tRNA has a wide detection range from 0.1 pM to 10 nM (R2 = 0.998) with a limit of detection (LOD) as low as 1.14 fM. In addition, the fluorescent biosensor showed satisfactory applicability for the qualitative and quantitative analysis of tRNA in real samples, thereby demonstrating the potential in the field of viral RNA detection.

Background-free and signal-amplified upconversion fluorescent biosensing platform for sensitive detection of CYFRA21-1.

Accurate and ultrasensitive detection of cytokeratin 19 fragment (CYFRA21-1) is of vital importance for screening and diagnosis of potential lung cancer patient. In this paper, surface-modified upconversion nanomaterials (UCNPs) capable of aggregation by atom transfer radical polymerization (ATRP) were used as luminescent materials for the first time to achieve signal-stable, low-biological background, and sensitive detection of CYFRA21-1. Upconversion nanomaterials (UCNPs) feature extremely low biological background signals and narrow emission peaks, making them ideal sensor luminescent materials. The combination of UCNPs and ATRP not only improves sensitivity, but also reduces biological background interference for detecting CYFRA21-1. The target CYFRA21-1 was captured by specific binding of the antigen and the antibody. Subsequently, the end of the sandwich structure with the initiator reacts with monomers modified on UCNPs. Then, massive UCNPs are aggregated by ATRP that amplify the detection signal exponentially. Under optimal conditions, a linear calibration plot of the logarithm of CYFRA21-1 concentration versus the upconversion fluorescence intensity was obtained in the range of 1 pg/mL to 100 µg/mL with a detection limit of 38.7 fg/mL. The proposed upconversion fluorescent platform can distinguish the analogues of the target with excellent selectivity. Besides, the precision and accuracy of the developed upconversion fluorescent platform were verified by clinical methods. As an enhanced upconversion fluorescent platform of CYFRA21-1, it is expected to be useful in screening potential patients with NSCLC and provides a promising solution for the high-performance detection of other tumor markers.

In situ synthesized eRAFT polymers for highly sensitive electrochemical determination of AFB1 in foods and herbs.

An electrochemical sensor based on environmentally friendly eRAFT polymerization was developed for the detection of aflatoxin B1 (AFB1) in food and herbal medicine. Two biological probes, aptamer (Ap) and antibody (Ab), were used to specifically recognize AFB1, and a large number of ferrocene polymers were grafted on the electrode surface by eRAFT polymerization, which greatly improved the specificity and sensitivity of the sensor. The detection limit of AFB1 was 37.34 fg/mL. In addition, the recovery rate was 95.69% to 107.65% and the RSD was 0.84% to 4.92% by detecting 9 spiked samples. The delighted reliability of this method was verified by HPLC-FL.

An Efficient Iterative Learning Predictive Functional Control for Nonlinear Batch Processes.

Iterative learning model-predictive control (ILMPC) is very popular in controlling the batch process since it possesses not only the learning ability along batches but also the strong time-domain tracking properties. However, for a fast batch process with strong nonlinear dynamics, the application of the ILMPC is challenging due to the difficulty in balancing the computational efficiency and tracking accuracy. In this article, an efficient iterative learning predictive functional control (ILPFC) is proposed. The original nonlinear system is linearized along the reference trajectory to derive a 2-D tracking-error predictive model. The linearization error is compensated by utilizing the Lipschitz condition so that the objective function can be formulated with the upper bound of the actual tracking error. For enhancing control efficiency, predictive functional control (PFC) is applied in the time domain, which reduces the dimension of the decision variable in order to effectively cut down the computational burden. The stability and convergence of this ILPFC with terminal constraint are analyzed theoretically. Simulations on an unmanned ground vehicle and a typical fast batch reactor verify the effectiveness of the proposed control algorithm.

Carboxyl porphyrin as signal molecule for sensitive fluorescent detection of aflatoxin B1 via ARGET-ATRP.

In this work, a novel fluorescent biosensor for sensitive detecting of aflatoxin B1 (AFB1) was constructed through activators regenerated by electron transfer for atom transfer radical polymerization (ARGET-ATRP) for the first time. The AFB1 antigen was immobilized on the carboxy magnetic beads (MBs) by forming a sandwich-type "aptamer-antigen-antibody" immune system. Then, acrylamid (AM) was introduced through ARGET-ATRP to provide binding sites for the signaling molecules. Finally, carboxy porphyrins (TPP*) were connected with monomers through an amide bond and fixed on the MBs. Under the optimal experimental conditions, the fluorescence intensity and the logarithm of the concentration of AFB1 showed a good relationship from 100 fg mL-1 to 100 ng mL-1, with the limit of detection (LOD) as low as 8.38 fg mL-1. In addition, the method shows good selectivity and excellent reproducibility. More importantly, the biosensor has applied to the quantitative analysis of AFB1 in four Chinese medicines, and this strategy could potentially serve as a novel means for sensitive detecting of AFB1 in complex matrices.

The molecular mechanism of chronic stress affecting the occurrence and development of breast cancer and potential drug therapy.

According to the 2020 data released by the International Agency for Research on Cancer, breast cancer has surpassed lung cancer as the world's most newly diagnosed first-time cancer. Compared with patients with other types of cancer, those with breast cancer experience greater mental stress and more severe psychological impacts because of the life-threatening diagnosis, physical changes, treatment side effects, and family and social life dysfunctions. These usually manifest as anxiety, depression, nervousness, and insomnia, all of which elicit stress responses. Particularly under chronic stress, the continuous release of neurotransmitters from the neuroendocrine system can have a highly profound impact on the occurrence and prognosis of breast cancer. However, because of the complex mechanisms underlying chronic stress and the variability in individual tolerance, evidence of the role of chronic stress in the occurrence and evolution of breast cancer remains unclear. This article reviewed previous research on the correlation between chronic stress and the occurrence and development of breast cancer, particularly the molecular mechanism through which chronic stress promotes breast cancer via neurotransmitters secreted by the nervous system. We also review the progress in the development of potential drugs or blockers for the treatment of breast cancer by targeting the neuroendocrine system.