The use of reactive oxygen species (ROS) to target cancer cells has become a hot topic in tumor therapy. Although ROS has strong cytotoxicity against tumor cells, the key issue currently is how to generate a large amount of ROS within tumor cells. Organic/inorganic hybrid nanoreactor materials combine the advantages of organic and inorganic components and can amplify cancer treatment by increasing targeting and material self-action. The multifunctional organic/inorganic hybrid nanoreactor is helpful to overcome the shortcomings of current reactive oxygen species in cancer treatment. It can realize the combination of in situ dynamic therapy and immunotherapy strategies, and has a synergistic anti-tumor effect. This paper reviews the research progress of organic/inorganic hybrid nanoreactor materials using tumor components to amplify reactive oxygen species for cancer treatment.The article reviews the tumor treatment strategies of nanohybrids from the perspectives of cancer cells, immune cells, tumor microenvironment, as well as 3D printing and electrospinning techniques, which are different from traditional nanomaterial technologies, and will arouse interest among scientists in tumor therapy and nanomedicine.
In this study, we prepared a multicolor structural-fluorescent CdS-PEGDA photonic crystal hydrogel (SFC-CPH) with a dual display mode, which has two different optical states: structural color mode and fluorescent color mode. SFC-CPH displays structural color mode under visible light and fluorescent color mode under ultraviolet light. Initially, monodisperse CdS colloidal particles were synthesized via a hydrothermal method, leading to the self-assembly of a photonic crystal template. The high refractive index of CdS contributes to the photonic crystals' low-angle dependence and vivid structural colors. Then, a variety of fluorescent molecules were doped into poly(ethylene glycol) diacrylate (PEGDA) hydrogel and combined with photonic crystals with distinct structural colors to prepare three distinct colors of SFC-CPH. We also investigated the optical characteristics and surface properties of these photonic crystal hydrogels. Based on these dual-mode display characteristics, we designed several dual-mode display patterns and a method for information encoding. The unique property of this photonic crystal hydrogel material suggests its substantial potential for applications in information storage, security, and encoding, offering innovative avenues in the realm of information display.
In Chinese cabbage, rosette leaves expose their adaxial side to the light converting light energy into chemical energy, acting as a source for the growth of the leafy head. In the leafy head, the outer heading leaves expose their abaxial side to the light while the inner leaves are shielded from the light and have become a sink organ of the growing Chinese cabbage plant. Interestingly, variation in several ad/abaxial polarity genes is associated with the typical leafy head morphotype. The initiation of leaf primordia and the establishment of leaf ad/abaxial polarity are essential steps in the initiation of marginal meristem activity leading to leaf formation. Understanding the molecular genetic mechanisms of leaf primordia formation, polar differentiation, and leaf expansion is thus relevant to understand leafy head formation. As Brassica's are mesa-hexaploids, many genes have multiple paralogues, complicating analysis of the genetic regulation of leaf development. In this study, we used laser dissection of Chinese cabbage leaf primordia and the shoot apical meristem (SAM) to compare gene expression profiles between both adaxial and abaxial sides and the SAM aiming to capture transcriptome changes underlying leaf primordia development. We highlight genes with roles in hormone pathways and transcription factors. We also assessed gene expression gradients along expanded leaf blades from the same plants to analyze regulatory links between SAM, leaf primordia and the expanding rosette leaf. The catalogue of differentially expressed genes provides insights in gene expression patterns involved in leaf development and form a starting point to unravel leafy head formation.
While the previous research has examined antecedents of supervisors' voice endorsement, it has generally overlooked its effects on voicers' affective and behavioral reactions, probably because of the underlying assumption that supervisors' voice endorsement is inherently beneficial and likely to encourage more proactive behaviors in the future. In this research, we offer a theoretical model of the double-edged effects of supervisors' voice endorsement on voicers' subsequent personal initiative. Drawing on cognitive appraisal theory and related research, we proposed that supervisors' voice endorsement prompts two different cognitive appraisal processes in voicers that evoke two distinct emotional experiences-feeling pride and feeling envied-with countervailing effects on voicers' subsequent personal initiative. Specifically, voice endorsement results in voicers not only feeling pride, which enhances their subsequent personal initiative, but also in their feeling envied, which reduces their later personal initiative. Moreover, we extend the cognitive appraisal theory of emotion from a social constructionist approach by incorporating coworker support-an important relational context-as a contingent factor shaping the effects of voice endorsement on feeling pride and feeling envied and on voicers' subsequent personal initiative. The results from two field studies-a weekly experience sampling study with 574 observations from 119 employees and an event-based daily experience sampling study with 787 observations from 180 employees-largely support our theoretical model. This research suggests the importance of considering the perspectives of all the stakeholders in the proactivity triad (i.e., the focal employee, the supervisor, and coworkers) in order to sustain employee proactivity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
A study is presented of the thermal-mechanical noise and response to sound of microphones that are designed to be driven by the viscous forces in air rather than by sound pressure. Virtually all existing microphone designs are intended to respond to sound pressure. The structures examined here consist of thin, micro-scale, cantilever beams. The viscous forces that drive the beams are proportional to the relative velocity between the beams and fluid medium. The beams' movement in response to sound is similar to that of the air in a plane acoustic wave. The thermal-mechanical noise of these beams is found to be a very weak function of their width and length; the size of the sensing structure does not appear to significantly affect the performance. This differs from the well-known importance of the size of a pressure-sensing microphone in determining the pressure-referred noise floor. Creating microphones that sense fluid motion rather than pressure could enable a significant reduction in the size of the sensing element. Calculated results are revealed to be in excellent agreement with the measured pressure-referred thermal noise.
Current studies on the artificial intelligence (AI) ethics focus either on very broad guidelines or on a very special domain. Therefore, the research outcome can hardly be converted into actionable measures or transferred to other domains. Potential correlations between various cases of AI ethics at different granularity levels are unexplored. To overcome these deficiencies, the authors designed a case-oriented ontological model (COOM) and a hyper-knowledge graph system (HKGS) for the research of collected AI ethics cases. COOM describes criteria for modelling cases by attributes from three perspectives: event attributes, relational attributes, and positional attributes on the value chain. Based on it, HKGS stores the correlation between cases as knowledge and allows advanced visual analysis. The correlations between cases and their dynamic changes on value chain can be observed and explored. In HKGS's implementation part, one of the collected ethics cases is used as an example to demonstrate how to generate a hyper-knowledge graph and to visually analyze it. The authors also anticipated how different practitioners of AI ethics, can achieve the desired outputs from HKGS in their diverse scenarios.
Fusarium crown rot (FCR), primarily caused by Fusarium pseudograminearum, has emerged as a new threat to wheat production and quality in North China. Genetic enhancement of wheat resistance to FCR remains the most effective approach for disease control. In this study, we phenotyped 435 Chinese wheat cultivars through FCR inoculation at the seedling stage in a greenhouse. Our findings revealed that only approximately 10.8% of the wheat germplasms displayed moderate or high resistance to FCR. A genome-wide association study (GWAS) using high-density 660K SNP led to the discovery of a novel quantitative trait locus on the long arm of chromosome 3B, designated as Qfcr.hebau-3BL. A total of 12 significantly associated SNPs were closely clustered within a 1.05 Mb physical interval. SNP-based molecular markers were developed to facilitate the practical application of Qfcr.hebau-3BL. Among the five candidate FCR resistance genes within the Qfcr.hebau-3BL, we focused on TraesCS3B02G307700, which encodes a protein kinase, due to its expression pattern. Functional validation revealed two transcripts, TaSTK1.1 and TaSTK1.2, with opposing roles in plant resistance to fungal disease. These findings provide insights into the genetic basis of FCR resistance in wheat and offer valuable resources for breeding resistant varieties.
In this study, an insulin-like growth factor-1 (IGF-1) certified reference material (CRM) was developed by the National Institute of Metrology (NIM), and two different principles for evaluating the IGF-1 CRM were established. After optimisation of the acid hydrolysis conditions (110 °C, 36 h), quantitative determination of peptide purity, and chromatographic separation and mass spectrometric detection, amino acid analysis-based high-performance liquid chromatography combined with isotope-dilution tandem mass spectrometry (AAA-HPLC-IDMS/MS) and peptide analysis-based HPLC-IDMS/MS (Peptide-HPLC-IDMS/MS) were used for certified value assignment; the results obtained were 136.28 and 135.01 µg/g, respectively, which were in good agreement. These results were subjected to the normal distribution test, outlier test, and method consistency test. The homogeneity and stability of the reference materials were also examined, and the uncertainty introduced in the experimental process was calculated. The final certified value was (136 ± 15) µg g-1 (k = 2). The CRM was found to be stable for at least six months when stored at -70 °C and for 7 d when stored at higher temperatures (-20 °C, 4 °C, 25 °C, or 40 °C). The CRM is expected to be used as a primary calibrator for quality control in biopharmaceutical production and clinical diagnostics.
Insulin-Like Growth Factor I , Insulin-Like Peptides , Tandem Mass Spectrometry/methods , Peptides , Isotopes , Reference Standards
In this study, we conducted an examination of knowledge integration concerning action information and assessed the impact of operational on this process. Additionally, we delved into the underlying mechanisms of how operational encoding influences the processing of knowledge integration of action information, utilizing the event-related potential technique. The results of our investigation revealed that operational encoding, encompassing the observed operational encoding and the imagined operational encoding, exhibited superior performance in the integration of action knowledge compared to verbal encoding. This distinction may be attributed to the greater efficiency of operant encoding in activating motor cortical areas, thereby inducing more robust brain activity. These findings suggest the potential advantages of operational encoding in facilitating the integration of knowledge related to movement information at both cognitive and neural levels, underscoring its significant role in the processing of such information. Future studies can further explore the applications of operational encoding in domains, such as motor learning, skill training, and rehabilitation therapy. Such investigations may offer novel insights into enhancing human behavior and motor control.
Electroencephalography , Evoked Potentials , Humans , Male , Female , Young Adult , Electroencephalography/methods , Evoked Potentials/physiology , Adult , Knowledge , Psychomotor Performance/physiology , Imagination/physiology , Brain/physiology
OBJECTIVE: Investigate short-term personality development during the post-graduation transition. BACKGROUND: Prior research indicates that long-term personality development matters for employment outcomes. However, this evidence is primarily limited to multi-year longitudinal studies. This research switches the focus to personality changes during a shorter, impactful life transition. METHOD: We examined how short-term personality development during the 14-month post-graduation transition relates to early career outcomes among two diverse samples of graduates from universities (N = 816) and community colleges (N = 567). We used latent growth curve models to examine associations between career outcomes measured 14 months after graduation with initial personality levels and personality changes. RESULTS: Results revealed that mean-level changes in personality were small and mostly negative. Moreover, individual differences in personality changes were not associated with career outcomes. However, initial levels of conscientiousness, emotional stability, and extraversion positively related to both subjective and objective career success. Initial levels of agreeableness were also positively related to subjective (but not objective) success. CONCLUSIONS: Findings indicate that individual differences in personality trait levels at graduation are stronger predictors of early career success compared to short-term personality changes during the post-graduation transition. Taken together, these results help define the time sequence through which personality changes relate to career outcomes.
This study aims to categorize the morphological changes during cabbage (B. oleracea ssp. capitata) development, seedling, rosette, folding, and heading, and to elucidate the cellular mechanisms of the leaf curvature, essential for the formation of the leafy head. We followed the growth of two cabbage cultivars with distinct head shapes (round and pointed) and one non-heading collard cultivar; we phenotyped the size and volume of the whole plant as well as the size, shape, and curvature of the leaves during growth. By integrating these phenotypic data, we determined the four vegetative stages for both cabbages. The histological phenotypes of microtome sections from five distinct leaf positions of the rosette, folding, and heading leaves at two timepoints during leaf growth were quantified and revealed variations in cellular parameters among leaf types, between leaf positions, and between the adaxial and abaxial sides. We identified two synergistic cellular mechanisms contributing to the curvature of heading leaves: differential growth across the leaf blade, with increased growth at the leaf's center relative to the margins; and the increased expansion of the spongy parenchyma layer compared to the palisade parenchyma layer, resulting in the direction of the curvature, which is inwards. These two processes together contribute to the typical leafy heads of cabbages.
Calcium-based biomaterials have been intensively studied in the field of drug delivery owing to their excellent biocompatibility and biodegradability. Calcium-based materials can also deliver contrast agents, which can enhance real-time imaging and exert a Ca2+-interfering therapeutic effect. Based on these characteristics, amorphous calcium carbonate (ACC), as a brunch of calcium-based biomaterials, has the potential to become a widely used biomaterial. Highly functional ACC can be either discovered in natural organisms or obtained by chemical synthesis However, the standalone presence of ACC is unstable in vivo. Additives are required to be used as stabilizers or core-shell structures formed by permeable layers or lipids with modified molecules constructed to maintain the stability of ACC until the ACC carrier reaches its destination. ACC has high chemical instability and can produce biocompatible products when exposed to an acidic condition in vivo, such as Ca2+ with an immune-regulating ability and CO2 with an imaging-enhancing ability. Owing to these characteristics, ACC has been studied for self-sacrificing templates of carrier construction, targeted delivery of oncology drugs, immunomodulation, tumor imaging, tissue engineering, and calcium supplementation. Emphasis in this paper has been placed on the origin, structural features, and multiple applications of ACC. Meanwhile, ACC faces many challenges in clinical translation, and long-term basic research is required to overcome these challenges. We hope that this study will contribute to future innovative research on ACC.
Individuals typically spend most of their lives indoors, predominantly in spaces like offices and residences. Consequently, prolonged indoor exposure underscores the critical significance of maintaining optimal indoor air quality (IAQ) to safeguard one's health. The primary impediment to attaining efficient regulation of Indoor Air Quality (IAQ) is the challenge of monitoring the IAQ parameters, particularly within the immediate vicinity of an individual's breathing space. Current heating, ventilation, and air conditioning systems lack the ability to rapidly predict and optimize the quality of indoor air. The objective of this study is to acquire the distribution features of indoor pollutants and precise indoor environment data in order to efficiently forecast and enhance the IAQ. To achieve this objective, a proposed surrogate model was developed using computational fluid dynamics (CFD). Notably, the Kriging surrogate model can rapidly predict IAQ while using a limited number of CFD runs. CFD are widely used as numerical simulation methods to obtain the accurate information. Surrogate models can rapidly forecast indoor environmental conditions using CFD simulation data simultaneously. Optimization algorithms can efficiently achieve desirable indoor ambient conditions, offering highly effective and intelligent control techniques for indoor atmospheric ventilation.
Air Pollutants , Air Pollution, Indoor , Environmental Pollutants , Humans , Air Pollution, Indoor/analysis , Air Pollutants/analysis , Computer Simulation , Housing , Environmental Monitoring/methods
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors and is a serious threat to human health; thus, early diagnosis and adequate treatment are essential. However, there are still great challenges in identifying the tipping point and detecting early warning signals of early HCC. In this study, we aimed to identify the tipping point (critical state) of and key molecules involved in hepatocarcinogenesis based on time series transcriptome expression data of HCC patients. The phase from veHCC (very early HCC) to eHCC (early HCC) was identified as the critical state in HCC progression, with 143 genes identified as key candidate molecules by combining the DDRTree (dimensionality reduction via graph structure learning) and DNB (dynamic network biomarker) methods. Then, we ranked the candidate genes to verify their mRNA levels using the diethylnitrosamine (DEN)-induced HCC mouse model and identified five early warning signals, namely, CCT3, DSTYK, EIF3E, IARS2 and TXNRD1; these signals can be regarded as the potential early warning signals for the critical state of HCC. We identified CCT3 as an independent prognostic factor for HCC, and functions of CCT3 involving in the "MYCtargets_V1" and "E2F-Targets" are closely related to the progression of HCC. The predictive method combining the DDRTree and DNB methods can not only identify the key critical state before cancer but also determine candidate molecules of critical state, thus providing new insight into the early diagnosis and preemptive treatment of HCC.
Carcinoma, Hepatocellular , Liver Neoplasms , Animals , Mice , Humans , Carcinoma, Hepatocellular/diagnosis , Carcinoma, Hepatocellular/genetics , Carcinoma, Hepatocellular/metabolism , Liver Neoplasms/pathology , Carcinogenesis/genetics , Carcinogenesis/pathology , Biomarkers , Transcriptome , Receptor-Interacting Protein Serine-Threonine Kinases/genetics , Chaperonin Containing TCP-1/genetics , Chaperonin Containing TCP-1/metabolism
To solve the problem of shortage of agricultural water resources and low utilization rate of fertilizer, a slow-release fertilizer based on chitosan modified water retention function was developed. Solution polymerization and semi-interpenetrating network technology were used to load urea aldehyde into carboxymethyl chitosan superabsorbent resin network. This technology realizes the simultaneous slow release of nutrients and water by using modified chitosan, which has important implications for the application of chitosan in agriculture to regulate the soil water and fertilizer conditions. The optimal preparation conditions were: MBA 0.07 %, KPS 0.8 %, AM to AA mass ratio of 0.3:1, CMC content of 10 %, AA neutralization degree 85 %, UF 20 %, AA+AM mass sum of 10 g, reaction temperature 70 °C and reaction time 2 h. The maximum water absorption rate of the optimized NC reached 172.3 g/g. The cumulative release of nitrogen in 30 days was 83.67 %. The application of NC in sandy soil promoted seed germination and growth. The comprehensive results indicate that NC has broad application prospects in arid areas based on its excellent water retention and nutrient release performance.
Hypoxia is a common feature of most solid tumors, which promotes the proliferation, invasion, metastasis, and therapeutic resistance of tumors. Researchers have been developing advanced strategies and nanoplatforms to modulate tumor hypoxia to enhance therapeutic effects. A timely review of this rapidly developing research topic is therefore highly desirable. For this purpose, this review first introduces the impact of hypoxia on tumor development and therapeutic resistance in detail. Current developments in the construction of various nanoplatforms to enhance tumor treatment in response to hypoxia are also systematically summarized, including hypoxia-overcoming, hypoxia-exploiting, and hypoxia-disregarding strategies. We provide a detailed discussion of the rationale and research progress of these strategies. Through a review of current trends, it is hoped that this comprehensive overview can provide new prospects for clinical application in tumor treatment. STATEMENT OF SIGNIFICANCE: As a common feature of most solid tumors, hypoxia significantly promotes tumor progression. Advanced nanoplatforms have been developed to modulate tumor hypoxia to enhanced therapeutic effects. In this review, we first introduce the impact of hypoxia on tumor progression. Current developments in the construction of various nanoplatforms to enhance tumor treatment in response to hypoxia are systematically summarized, including hypoxia-overcoming, hypoxia-exploiting, and hypoxia-disregarding strategies. We discuss the rationale and research progress of the above strategies in detail, and finally introduce future challenges for treatment of hypoxic tumors. By reviewing the current trends, this comprehensive overview can provide new prospects for clinical translatable tumor therapy.
Neoplasms , Tumor Hypoxia , Humans , Neoplasms/pathology , Cell Hypoxia , Hypoxia , Tumor Microenvironment
Irinotecan (CPT-11) is used as a first or second-line chemotherapy drug for the treatment and management of colorectal cancers. In vitro studies have shown that 7-ethyl-10-hydroxycamptothecin (SN38), the active metabolite of CPT-11, displays promising anticancer efficacy. However, its poor aqueous solubility and hydrolytic degradation result in its lower oral bioavailability and impracticable clinical application. To overcome these limitations, a novel amphiphilic chitosan derivative, deoxycholic acid decorated N'-nonyl-trimethyl chitosan, was synthesized. Nano-micelles loaded with SN38 were subsequently prepared to enhance the bioavailability and anti-tumor efficacy of the drug through oral administration. The nano-micelles demonstrated improved dilution stability, enhanced greater mucosal adherence, significant P-gp efflux inhibition, and increased drug transport in the intestine by paracellular and transcellular pathways. Consequently, both the in vivo pharmacokinetic profile and therapeutic efficacy of SN38 against cancer were substantially improved via the micellar system. Thus, the developed polymeric micelles can potentially enhance the SN38 oral absorption for cancer therapy, offering prospective avenues for further exploration.
Chitosan , Neoplasms , Humans , Irinotecan , Micelles , Prospective Studies , Administration, Oral , Neoplasms/drug therapy , Deoxycholic Acid , Drug Carriers/therapeutic use
The polarization of macrophages plays a crucial regulatory role in a range of physiological and pathological processes involving macrophages. There are numerous concerns with macrophage polarization in atherosclerosis; however, most focus on modulating macrophage polarization to improve the microenvironment, and the mechanism of action remains unknown. In recent years, the advantages of natural and low-toxicity side effects of food medicine homology-derived substances have been widely explored. Few reports have started from ingredients from food medicine homology to regulate the polarization of macrophages so that early intervention can reduce or delay the process of atherosclerosis. This review summarizes the classification of macrophage polarization and related markers in the process of atherosclerosis. It summarizes the regulatory role of ingredients from food medicine homology in macrophage polarization and their possible mechanisms to provide ideas and inspiration for the nutritional intervention in vascular health.
Atherosclerosis , Humans , Macrophages , Macrophage Activation
KEY MESSAGE: QMS-5B, a major QTL for photo-thermo-sensitive genic male sterility in wheat, was fine mapped in a 2.15 Mb region harboring a serine/threonine protein kinase gene TraesCS5B03G0887500, which was the most likely candidate gene. Genic male sterility is an essential trait in the utilization of heterosis and hybrid seed production for wheat. Currently, genic male sterile genes have been reported in wheat mutants, but the sterile genes controlling photo-thermo-sensitive genic male sterility in wheat have not been studied systematically. Here, 235 doubled haploid lines derived from a cross between photo-thermo-sensitive genic male sterile line BS462 and its restorer line CP279 were used to map male sterile gene by GenoBaits® Wheat 100 K Panel, bulked segregant exome sequencing (BSE-Seq) and wheat 660 K array. As a result, the major stable QTL on chromosome 5B, QMS-5B, was identified in all four environments, accounting for 7.3-36.4% of the phenotypic variances. Ulteriorly, QMS-5B was delimited to an approximate 2.15 Mb physical interval between KASP-5B5 and KASP-5B6 using kompetitive allele-specific PCR (KASP) markers. Within the interval, twenty-nine high-confidence genes were predicted according to Chinese Spring RefSeq v2.1. TraesCS5B03G0887500, encoding a serine/threonine protein kinase, was identified as the most likely candidate gene for QMS-5B based on weighted gene co-expression network analysis. Expression analysis confirmed that TraesCS5B03G0887500 was significantly differentially expressed in anthers of BS462 and CP279 at different stages under fertile and sterile environments. In addition, flanking KASP marker KASP-5B6 can effectively genotype male sterile lines and restorer lines, and can be used for molecular marker-assisted selection. This study provides insights into for exploring the mechanism of photo-thermo-sensitive genic male sterility in wheat.
Infertility, Male , Triticum , Male , Humans , Triticum/genetics , Quantitative Trait Loci , Protein Serine-Threonine Kinases , Threonine , Serine
