The m6A modification mediated-lncRNA POU6F2-AS1 reprograms fatty acid metabolism and facilitates the growth of colorectal cancer via upregulation of FASN.

BACKGROUND: Long noncoding RNAs (lncRNAs) have emerged as key players in tumorigenesis and tumour progression. However, the biological functions and potential mechanisms of lncRNAs in colorectal cancer (CRC) are unclear. METHODS: The novel lncRNA POU6F2-AS1 was identified through bioinformatics analysis, and its expression in CRC patients was verified via qRT-PCR and FISH. In vitro and in vivo experiments, such as BODIPY staining, Oil Red O staining, triglyceride (TAG) assays, and liquid chromatography mass spectrometry (LC-MS) were subsequently performed with CRC specimens and cells to determine the clinical significance, and functional roles of POU6F2-AS1. Biotinylated RNA pull-down, RIP, Me-RIP, ChIP, and patient-derived organoid (PDO) culture assays were performed to confirm the underlying mechanism of POU6F2-AS1. RESULTS: The lncRNA POU6F2-AS1 is markedly upregulated in CRC and associated with adverse clinicopathological features and poor overall survival in CRC patients. Functionally, POU6F2-AS1 promotes the growth and lipogenesis of CRC cells both in vitro and in vivo. Mechanistically, METTL3-induced m6A modification is involved in the upregulation of POU6F2-AS1. Furthermore, upregulated POU6F2-AS1 could tether YBX1 to the FASN promoter to induce transcriptional activation, thus facilitating the growth and lipogenesis of CRC cells. CONCLUSIONS: Our data revealed that the upregulation of POU6F2-AS1 plays a critical role in CRC fatty acid metabolism and might provide a novel promising biomarker and therapeutic target for CRC.

Electrospun polycaprolactone incorporated with fluorapatite nanoparticles composite scaffolds enhance healing of experimental calvarial defect on rats.

Background: Composite scaffolds that maximize the advantages of different polymers are widely utilized in guided tissue regeneration (GTR). Some studies found that novel composite scaffolds composed of electrospun polycaprolactone/fluorapatite (ePCL/FA) actively promoted the osteogenic mineralization of various cell types in vitro. However, only a few studies have addressed the application of this composite scaffold membrane material in vivo. In this study, the ability of ePCL/FA composite scaffolds in vivo and their possible mechanisms were preliminarily explored. Methods: In this study, ePCL/FA composite scaffolds were characterized and their effects on bone tissue engineering and repair of calvarial defects in rats were examined. Sixteen male Sprague-Dawley (SD) rats were randomly categorized into four groups: normal group (integral cranial structure without defect), control group (cranial defect), ePCL group (cranial defect repaired by electrospun polycaprolactone scaffolds), and ePCL/FA group (cranial defect repaired by fluorapatite-modified electrospun polycaprolactone scaffolds). At 1 week, 2 months, and 4 months, micro-computed tomography (micro-CT) analysis was performed to compare the bone mineral density (BMD), bone volume (BV), tissue volume (TV), and bone volume percentage (BV/TV). The effects of bone tissue engineering and repair were observed by histological examination (hematoxylin and eosin, Van Gieson, and Masson respectively) at 4 months. Results: In water contact angle measurement, the average contact angle for the ePCL/FA group was significantly lower than that for the ePCL group, indicating that the FA crystal improved the hydrophilicity of the copolymer. Micro-CT analysis revealed that the cranial defect had no significant change at 1 week; however, the BMD, BV, and BV/TV of the ePCL/FA group were significantly higher than those of the control group at 2 and 4 months. Histological examination showed that the cranial defects were almost completely repaired by the ePCL/FA composite scaffolds at 4 months compared to the control and ePCL groups. Conclusions: The introduction of a biocompatible FA crystal improved the physical and biological properties of the ePCL/FA composite scaffolds; thus, these scaffolds demonstrate outstanding osteogenic potential for bone and orthopedic regenerative applications.

Impacts of logistics agglomeration on carbon emissions in China: a spatial econometric analysis.

Logistics industry relies heavily on fossil fuels and has drawn significant attention for its environmental impact. With a focus on the effect of logistics agglomeration, this paper examines the spatial spillover effects of the Chinese logistics industry on carbon emissions by using the spatial Durbin model based on panel data of 30 Chinese provinces from 2000 to 2019. The results indicate that the logistics agglomeration can positively influence emission reduction in both local and surrounding areas. Additionally, the environmental externalities from transportation structure and logistics scale are estimated; it finds that the scale of logistics also plays a significant role on carbon emissions. As to the heterogeneity of regions, the logistics agglomeration of the eastern area has positive externalities on carbon reduction, and the total spatial spillover effects on environmental pollution in the eastern area are much stronger than western area. The research findings indicate the potential benefits of promoting logistics agglomeration to reduce carbon emissions in China and can provide policy recommendations for green logistics reform and emission governance.

Identification of nitrate sources of groundwater and rivers in complex urban environments based on isotopic and hydro-chemical evidence.

Groundwater and rivers in Chinese cities suffer from severe nitrate pollution. The accurate identification of nitrate sources throughout aquatic systems is key to the water nitrate pollution management. This study investigated nitrogen components of groundwater for twelve years and analyzed the sources of nitrate in the aquatic system based on dual isotopes (δ15N-NO3- and δ18O-NO3-) in the city of Nanjing, a core city of the Yangtze River Delta region, China. Our results showed that the ratio of nitrate to the sum of ammonia and nitrate in groundwater show an increasing trend during 2010-2021. The nitrate concentration was positively correlated with the proportion of cultivated land and negatively correlated with the proportion of forest land in the buffer zone. The relationship between Cl- and NO3-/ Cl- showed that agriculture and sewage sources increased during 2010-2015, sewage sources increased during 2016-2018, agriculture sources increased during 2019-2021. Manure and sewage were the primary sources of groundwater nitrate (72 %). There was no significant difference between the developed land (78 %), cultivated land (69 %), and aquaculture area (72 %). This indicates that dense population and intensive aquaculture in the suburbs have a significant impact on nitrate pollution. The contributions of manure and sewage to the fluvial nitrate sources in the lower reaches of the Qinhuai River Basin were 61 %. The non-point sources, including groundwater N (39 %) and soil N (35 %), were 74 % over the upper reaches. This study highlights the necessity of developing different N pollution management strategies for different parts of highly urbanized watersheds and considers groundwater restoration and soil nitrogen management as momentous, long-term tasks.

Cross-modal association analysis and matching model construction of perceptual attributes of multiple colors and combined tones.

Audio-visual correlation is a common phenomenon in real life. In this article, aiming at analyzing the correlation between multiple colors and combined tones, we comprehensively used experimental methods and technologies such as experimental psychology methods, audio-visual information processing technology, and machine learning algorithms to study the correlation mechanism between the multi-color perceptual attributes and the interval consonance attribute of musical sounds, so as to construct an audio-visual cross-modal matching models. Specifically, in the first, this article constructed the multi-color perceptual attribute dataset through the subjective evaluation experiment, namely "cold/warm," "soft/hard," "transparent/turbid," "far/near," "weak/strong," pleasure, arousal, and dominance; and constructed the interval consonance attribute dataset based on calculating the audio objective parameters. Secondly, a subjective evaluation experiment of cross-modal matching was designed and carried out for analyzing the audio-visual correlation, so as to obtain the cross-modal matched and mismatched data between the audio-visual perceptual attributes. On this basis, through visual processing and correlation analysis of the matched and mismatched data, this article proved that there is a certain correlation between multicolor and combined tones from the perspective of perceptual attributes. Finally, this article used linear and non-linear machine learning algorithms to construct audio-visual cross-modal matching models, so as to realize the mutual prediction between the audio-visual perceptual attributes, and the highest prediction accuracy is up to 79.1%. The contributions of our research are: (1) The cross-modal matched and mismatched dataset can provide basic data support for audio-visual cross-modal research; (2) The constructed audio-visual cross-modal matching models can provide a theoretical basis for audio-visual interaction technology; (3) In addition, the research method of audio-visual cross-modal matching proposed in this article can provide new research ideas for related research.

Green grain warehousing: bibliometric analysis and systematic literature review.

Grain warehousing contributes persistent environmental effects in the food supply chain because of its long-term storage feature and distribution requirements. Thus, it has attracted a number of interdisciplinary researchers to the investigations of green grain warehousing (GGW) over the past decades. This paper presents a valuable comprehensive literature review on the existing publications on this topic via bibliometric analysis and systematic review based on 37 papers obtained from three common international academic databases, namely Web of Science, Scopus, and EBSCOhost. We concluded a framework of existing literature with proposing three macro-themes (energy-saving in transporting, environmental harmony, and green deinsectization) as well as a classification of commonly used methods. The results revealed that (1) the increase in research interests over years was found; (2) there are differences in the attention of GGW among countries. Most of the scholars from developing countries focused more on the green operational technologies or strategies, while most of the scholars from developed countries placed their research focuses on keeping grain quality and developing environment-friendly deinsectization approaches with low emission or chemical alternatives; (3) grain quality started to become the most popular hotspot in recent years; (4) the researchers tended to use more comprehensive methodologies or combined methods to conduct their works. Accordingly, we proposed potential research directions. The contribution of this work is to extend current literature and to offer reference to scholars and practitioners for future research and operation in GGW.

Solitary and Collective Motion Behaviors of TiO2 Microrobots under the Coupling of Multiple Light Fields.

Due to their fascinating solitary and collective behavior, photochemical microrobots have attracted extensive attention from researchers and have obtained a series of outstanding research progress in recent years. However, due to the limitation of using a single light source, the realization of reconfigurable and controllable motion behaviors of the photochemical microrobot is still facing a series of challenges. To release these restrictions, we reported a multi-light-field-coupling-based method for driving the photochemical microrobot or its swarm in a regulatable manner. Here, we first designed a control system for coupling multiple light sources to realize the programmable application of four light sources in different directions. Then a TiO2-based photochemical microrobot was prepared, with its surface electric field distribution under different lighting conditions estimated by modeling-based simulation, where the feasibility of regulating the microrobot's motion behavior via the proposed setup was verified. Furthermore, our experimental results show that under the action of the compound light fields, we can not only robustly control the motion behavior of a single TiO2 microrobot but also reconfigure its collective behaviors. For example, we realized the free switching of the single TiO2 microrobots' movement direction, and the controllable diffusion, aggregation, the locomotion and merging of TiO2 microrobot swarms. Our discovery would provide potential means to realize the leap-forward control and application of photochemical microrobots from individuals to swarms, as well as the creation of active materials and intelligent synthetic systems.

Functionalized Carbon Nanotubes with Phosphorus- and Nitrogen-Containing Agents: Effective Reinforcer for Thermal, Mechanical, and Flame-Retardant Properties of Polystyrene Nanocomposites.

Aminated multiwalled carbon nanotubes (A-MWCNT) were reacted with diphenylphosphinic chloride (DPP-Cl) to prepare the functionalized MWCNT (DPPA-MWCNT). A-MWCNT and DPPA-MWCNT were respectively mixed with polystyrene (PS) to obtain composites through the melt compounding method. SEM observations demonstrated that the DPPA-MWCNT nanofillers were more uniformly distributed within the PS matrix than A-MWCNT. PS/DPPA-MWCNT showed improved thermal stability, glass transition temperature, and tensile strength in comparison with PS/A-MWCNT, resulting from good dispersion and interfacial interactions between DPPA-MWCNT and PS matrix. The incorporation of DPPA-MWCNT to PS significantly reduced peak heat release rate, smoke production rate, and carbon monoxide and carbon dioxide release in cone calorimeter tests. The enhanced fire-retardant properties should be ascribed to the barrier effect of carbon nanotubes, which could provide enough time for DPPA-MWCNT and its functionalized groups to trap the degrading polymer radicals to catalyze char formation. The char layer served as an efficient insulating barrier to reduce the exposure of polymer matrix to an external heat source as well as retarding the flammable gases from feeding the flame.