Transcriptomic mechanism for foliar applied nano-ZnO alleviating phytotoxicity of nanoplastics in corn (Zea mays L.) plants.

Nanoplastics, as emerging pollutants, have drawn increasing concerns for their potential threats to agriculture and food security. ZnO nanoparticles (nano-ZnO), serving as ideal nano-fertilizer dispersion in sustainable agriculture, might be a promising application for nanoplastic stress management. To determine the role of nano-ZnO in regulating crop response towards nanoplastic pollutions, corn (Zea mays L.) seedlings after leaf treatment by nano-ZnO were foliar exposed to polystyrene nanoplastics (PSNPs). The presence of nano-ZnO significantly reduced the accumulation of PSNPs in corn leaf, stem and root tissues by 40.7 %-71.4 %. Physiologically, nano-ZnO prominently decreased the extent of PSNP-induced reduction in chlorophyll content and photosynthetic rates, thereby greatly weakening the toxic effects of PSNPs on corn plant growth. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses demonstrated that responsive differentially expressed genes involved in photosynthesis, glutathione metabolism and phytohormone signal transduction pathways explained the enhanced tolerance of corn plants to PSNPs under the addition of nano-ZnO. Among the key genes of photosynthesis, nano-ZnO ensured the regular expression of chlorophyll synthesis genes (CHLH, CHLD, CHLM, DVR, GTR and POR), photosystem II gene (PetH), and carbon fixation enzyme genes (pepc, rbcL and rbcS) inhibited by PSNP exposure. These findings enlarge our understanding of the mechanism by which nano-ZnO attenuates the negative effects of nanoplastics on crops, which is of great significance for improving the sustainable utilization of nano-fertilizers in agriculture.

Rh(III)-Catalyzed [3 + 2] Annulation/Pinacol Rearrangement Reaction of Enaminones with Iodonium Ylides: Direct Synthesis of 2-Spirocyclo-pyrrol-3-ones.

A novel Rh(III)-catalyzed cascade alkenyl C-H activation/[3 + 2] annulation/pinacol rearrangement reaction of enaminones with iodonium ylides has been developed. This methodology provides a new and straightforward synthetic strategy to afford highly functionalized 2-spirocyclo-pyrrol-3-ones in satisfactory yield from readily available starting materials under mild conditions. Moreover, gram-scale reactions and further derivatization experiments are implemented to demonstrate the potential utility of this developed approach.

First Report of Alternaria Leaf Blight Caused by Alternaria alternata on Agrimonia pilosa in China.

Agrimonia pilosa is widely distributed in East Asian countries, including China, Japan, Korea and Mongolia. It is a common medicinal plant with pharmacological effects such as procoagulant, antioxidant, anti-inflammatory. In September 2022, leaf blight was the first time observed on A. pilosa in a 2.6-ha A. pilosa plantation in Harbin, Heilongjiang Province, China. The incidence of the disease reached 80%, and almost every leaf had symptoms. Initially, yellow-to-brown spots appeared on the tips or edges of the leaves. As the disease progressed, the lesions gradually enlarged and merged. Finally, the whole leaf withered. To identify the causal agent, twenty symptomatic leaves were arbitrarily collected from ten diseased plants. Diseased leaf pieces that measured 5 mm2 were disinfested in 75% ethyl alcohol for 30 s and 7% NaOCl for 60 s, rinsed three times in sterile distilled water (Sun et al. 2022), and placed on potato dextrose agar (PDA). Ten fungal isolates obtained by single-spore isolations were selected for further study. Colonies of these isolates on PDA were off-white to black with abundant cotton-like aerial hyphae, and the colony diameter was 75 to 90 mm. The isolates produced conidia that were ovate to nearly oval, gray-to-black, with 1 to 4 transverse septa and 0 to 2 oblique septa, smooth surfaced, parietal cells extending into the beak, and measured 15.0 to 35.5 × 6.0 to 13.0 µm. Conidiophores were taupe, erect or curved, branched, with pronounced spore marks. All ten fungal isolates were morphologically similar to Alternaria alternata (Simmons 2007). Two representative isolates LYC and LYC01 were used for molecular identification. The internal transcribed spacer (ITS) region, RNA polymerase second largest subunit (RPB2), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), translation elongation factor 1-alpha (TEF1), and Alternaria major allergen (Alt a 1) were amplified with the primers ITS4/ITS5(White et al. 1990), RPB2-5F2/RPB2-7CR (Khodaei and Arzanlou 2013), gpd1/gpd2, EF1-728F/EF1-986R (Sun et al. 2023) and Alt-for/Alt-rev (Woudenberg et al. 2015). The resulting sequences were deposited in GenBank (ITS, OM319510, OQ788347; RPB2, OM296263, OQ862336; GAPDH, OM296236, OQ862337; TEF1, OM238113, OQ862338; Alta1, OM171260, OQ862339). Phylogenetic analyses showed 100% identity between LYC and LYC01 and the type strain CBS 121456. Thus, the fungus was identified as A. alternata based on morphology and molecular analysis. Pathogenicity tests were done by spraying conidial suspensions containing 106 conidia/ml of A. alternata isolates LYC and LYC01 on leaves of six healthy A. pilosa plants, separately. Another six plants were sprayed with sterile distilled water as control. Both groups of plants were covered with plastic bags and placed in a greenhouse maintained at 25° C. Plastic bags were removed from plants after 48 h. Fifteen days later, the disease symptoms on the inoculated plants were similar to those observed in the original sample, whereas the control plants remained healthy. The pathogenicity tests were conducted three times. The strains of A. alternata were reisolated from the symptomatic inoculated plants, confirming Koch's postulates. To our knowledge, this is the first report of A. alternata causing leaf blight on A. pilosa in China. Identifying the agent responsible for the disease can help with disease control and plant management in the field.

Advances in mitochondrial DNA base editing technology.

Mitochondria, the energy factories of higher eukaryotes, provide energy (ATP) for life activities through aerobic respiration. They possess their own genome, mitochondrial DNA (mtDNA), which encodes 37 genes. Mutations in mtDNA cause mitochondrial diseases, and more than 100 pathogenic mutations have been identified in human mtDNA, with a total incidence rate of about 1/5000. In recent years, advances in CRISPR-based base editing technology have enabled accurate editing of nuclear genes. However, it remains a challenge to achieve precise base editing on mtDNA due to the difficulty of guide RNA in the CRISPR system passing through the mitochondrial double-membrane. In 2020, David R. Liu's group at Harvard University reported a double-stranded DNA deaminase DddA from Burkholderia cenocepacia, which was fused with the programmable transcription activator-like effector (TALE) and uracil glycosylase inhibitor (UGI) to develop DddA-derived cytosine base editors (DdCBEs). Using DdCBEs, they were able to achieve specific and efficient C?G to T?A conversion on mtDNA for the first time. In this review, we summarize the recent progress of mitochondrial base editing technology based on DddA and prospect its future application prospects. The information presented may facilitate interested researchers to grasp the principles of mitochondrial base editing, to use relevant base editors in their own studies, or to optimize mitochondrial base editors in the future.

Changing patterns of nasopharyngeal carcinoma incidence in Hong Kong: a 30-year analysis and future projections.

BACKGROUND: This study aims to evaluate the relationship between age, period, and birth cohort with the incidence trends of Nasopharyngeal Carcinoma (NPC) in Hong Kong, make projections through 2030 and parse the drivers of the incidence. METHODS: Using data from the Hong Kong Cancer Registry, we used an age-period-cohort model to uniquely estimate age, period, and cohort effects on NPC incidence trends and make projections. We further assessed the drivers of NPC incidence using a validated decomposition algorithm. RESULTS: From 1991 to 2020, crude and age-standardized incidence rates of NPC decreased significantly. The net drifts showed significant downward trends for both sexes, and local drift declined in all age groups. Period and cohort rate ratios revealed monotonic declining patterns for both sexes. Projections suggested that NPC incidence will continue to decline. Population decomposition showed that while population growth and ageing have led to an increase in NPC cases, epidemiologic changes offset these increases, resulting in an encouraging downward trend in the incidence and new NPC cases in Hong Kong. CONCLUSIONS: The period and cohort risk of NPC in Hong Kong decreased, and epidemiologic changes offset the contribution of demographic factors, resulting in a continued decline in NPC incidence and cases.

V-ATPase V0 subunit activation mediates maduramicin-induced methuosis through blocking endolysosomal trafficking in vitro and in vivo.

Methuosis, a novel cell death phenotype, is characterized by accumulation of cytoplasmic vacuolization upon external stimulus. Methuosis plays a critical role in maduramicin-induced cardiotoxicity despite the underlying mechanism is largely unknown. Herein, we aimed to investigate the origin and intracellular trafficking of cytoplasmic vacuoles, as well as the molecular mechanism of methuosis caused by maduramicin (1 µg/mL) in myocardial cells. H9c2 cells and broiler chicken were used and were exposed to maduramicin at doses of 1 µg/mL in vitro and 5 ppm-30 ppm in vivo. Morphological observation and dextran-Alexa Fluor 488 tracer experiment showed that endosomal compartments swelling and excessive macropinocytosis contributed to madurdamcin-induced methuosis. Cell counting kit-8 assay and morphology indicated pharmacological inhibition of macropinocytosis largely prevent H9c2 cells from maduramicin-triggered methuosis. In addition, late endosomal marker Rab7 and lysosomal associated membrane protein 1 (LAMP1) increased in a time-dependent manner after maduramicin treatment, and the recycling endosome marker Rab11 and ADP-ribosylation factor 6 (Arf6) were decreased by maduramicin. Vacuolar-H+-ATPase (V-ATPase) was activated by maduramicin, and pharmacological inhibition and genetic knockdown V0 subunit of V-ATPase restore endosomal-lysosomal trafficking and prevent H9c2 cells methuosis. Animal experiment showed that severe cardiac injury included the increase of creatine kinase (CK) and creatine kinase-MB (CK-MB), and vacuolar degeneration resembled methuosis in vivo after maduramicin treatment. Taken together, these findings demonstrate that targeting the inhibition of V-ATPase V0 subunit will prevent myocardial cells methuosis by restoring endosomal-lysosomal trafficking.

Identification of new conserved linear B-cell epitopes in the 3AB and 3C protein of Senecavirus A.

Senecavirus A (SVA) is a member of the Picornaviridae family, Senecavirus genus. The outbreak of swine vesicular disease caused by SVA has presented a significant threat to pig husbandry and public health, resulting in substantial economic losses. In this study, recombinant SVA 3AB and 3C proteins were expressed in the prokaryotic system, purified, and utilized to generate eight monoclonal antibodies (mAbs) specific to SVA 3AB or 3C proteins. Three B-cell epitopes recognized by these mAbs were subsequently identified by Western blotting. The mAbs 3G3, 3D6, and 3B7 against 3AB recognize the epitope 90NAYDGPKKNS100; the mAbs 2C10, 2C8, and 2D12 against 3C recognize the epitope 75FTHHGLPTDL85, and the mAbs 3C4 and 4A11 against 3C recognize the epitope 95DQMPARNSRV105. Moreover, all three epitopes are highly conserved in different SVA strains and are exposed on the surface of 3AB or 3C proteins, potentially representing important B-cell epitopes. This study constitutes the first report of SVA nonstructural protein epitopes, which may be beneficial for developing innovative detection methods and vaccines and for investigating the roles of 3AB and 3C in viral replication.

Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services.

Modern large-scale online service providers typically deploy microservices into containers to achieve flexible service management. One critical problem in such container-based microservice architectures is to control the arrival rate of requests in the containers to avoid containers from being overloaded. In this article, we present our experience of rate limit for the containers in Alibaba, one of the largest e-commerce services in the world. Given the highly diverse characteristics of containers in Alibaba, we point out that the existing rate limit mechanisms cannot meet our demand. Thus, we design Noah, a dynamic rate limiter that can automatically adapt to the specific characteristic of each container without human efforts. The key idea of Noah is to use deep reinforcement learning (DRL) that automatically infers the most suitable configuration for each container. To fully embrace the advantages of DRL in our context, Noah addresses two technical challenges. First, Noah uses a lightweight system monitoring mechanism to collect container status. In this way, it minimizes the monitoring overhead while ensuring a timely reaction to system load changes. Second, Noah injects synthetic extreme data when training its models. Thus, its model gains knowledge on unseen special events and hence remains highly available in extreme scenarios. To guarantee model convergence with the injected training data, Noah adopts task-specific curriculum learning to train the model from normal data to extreme data gradually. Noah has been deployed in the production of Alibaba for two years, serving more than 50000 containers and around 300 types of microservice applications. Experimental results show that Noah can well adapt to three common scenarios in the production environment. It effectively achieves better system availability and shorter request response time compared with four state-of-the-art rate limiters.

Promising efficacy of immune checkpoint inhibitor plus chemotherapy for thoracic SMARCA4-deficient undifferentiated tumor.

PURPOSE: Thoracic SMARCA4-deficient undifferentiated tumor (SD-UT) is a highly aggressive disease that is nosologically related to but distinct from SMARCA4-deficient non-small cell lung cancer (SD-NSCLC). No standard treatment guidelines were established for SD-UT. This research explored the efficacy of different treatments in SD-UT, and the prognostic, clinicopathologic and genomic difference between SD-UT and SD-NSCLC. MATERIALS AND METHODS: Information of 25 SD-UT and 22 SD-NSCLC patients diagnosed and treated in Fudan University Shanghai Cancer Center from January, 2017 to September, 2022 was analyzed. RESULTS: SD-UT was similar to SD-NSCLC in characteristics of onset age, male prevalence, heavy smoking history and metastatic pattern. SD-UT showed a rapid relapse pattern after radical therapy. For Stage IV SD-UT patients, immune checkpoint inhibitor (ICI) plus chemotherapy significantly improved median progression-free survival (PFS) compared to traditional chemotherapy as first-line treatment (26.8 vs. 2.73 months, p = 0.0437), while objective response rates of two arms were comparable (71.4% vs. 66.7%). No significant survival differences were observed between SD-UT and SD-NSCLC under similar treatment settings. SD-UT or SD-NSCLC patients receiving ICI in the first line had significantly prolonged OS than those with ICI in the latter lines or without ICI treatment throughout clinical courses. Genetic study found frequent SMARCA4, TP53 and LRP1B mutations in SD-UT. CONCLUSION: To the best of our knowledge, this is the largest series to date to compare the efficacy of ICI-based treatment to chemotherapy and document frequent mutations of LRP1B in SD-UT. ICI plus chemotherapy is an effective strategy for Stage IV SD-UT.

Chitosan-Grafted Carbon Oxynitride Nanoparticles: Investigation of Photocatalytic Degradation and Antibacterial Activity.

In this work, a series of chitosan (CS)-grafted carbon oxynitride (OCN) nanoparticles (denoted as CS-OCN) were successfully synthesized for the first time by thermal polycondensation and subsequent esterification. The structure and photocatalytic performance of CS-OCN nanoparticles were investigated. The XPS spectra of CS-OCN-3 showed the presence of amino bonds. The optimal photocatalytic degradation efficiency of the synthesized CS-OCN-3 could reach 94.3% within 390 min, while the photocurrent response intensity was about 150% more than that of pure OCN. The improved photocatalytic performance may be mainly attributed to the enhanced photogenerated carrier's separation and transportation and stronger visible light response after CS grafting. In addition, the inhibition diameter of CS-OCN-3 reached 23 mm against E. coli within 24 h under visible light irradiation, exhibiting excellent photocatalytic bactericidal ability. The results of bacterial inhibition were supported by absorbance measurements (OD600) studies of E. coli. In a word, this work provided a rational design of an efficient novel metal-free photocatalyst to remove bacterial contamination and accelerate the degradation of organic dyes.

Total parenteral nutrition impairs glucose metabolism by modifying the gut microbiome.

Total parenteral nutrition (TPN) can lead to complications, such as glucose metabolism disorders. While TPN is associated with impairments in intestinal function, the gut barrier and mucosal immunity, the relationship between the gut microbiome and TPN-related glucose metabolism disorders remains to be explored. In a cohort of 256 participants with type 2 intestinal failure, we show that parenteral nutrition providing >80% of total energy induces insulin resistance and a higher risk of complications. Using various male mouse models, we demonstrate that changes in Lactobacillaceae and indole-3-acetic acid (IAA) levels underlie these complications. Lactobacillaceae and IAA levels decrease in TPN-treated mice and participants, while their abundances in the latter are negatively correlated with insulin resistance and serum lipopolysaccharide levels. Furthermore, IAA activates the aryl hydrocarbon receptor and increases glucagon-like peptide-1 secretion through upregulation of Gcg expression and increased stem cell differentiation towards L cells. Finally, liraglutide, a glucagon-like peptide-1 receptor agonist, completely prevents TPN-induced glucose metabolism disorders in mice. Thus, TPN induces glucose metabolism disorders by altering the gut microbiota and its metabolites.

Geotechnical Seismic Isolation System Based on Rubber-Sand Mixtures for Rural Residence Buildings: Shaking Table Test.

The anti-seismic problem of rural residential buildings is the weak link of seismic retrofitting in China. Recently, geotechnical seismic isolation (GSI) technology based on rubber-sand mixtures (GSI-RSM) using rubber-sand mixtures (RSM) between the structural foundation and the foundation soil has been proven to have the possibility of potential applications in rural residential buildings. Many theoretical studies exist on the effectiveness of seismic isolation of the GSI-RSM system, but few studies on either the seismic response test of model buildings placed on the RSM layer or the large-scale shaking table test exist. Therefore, this study considers a large shaking table test performed on a 1/4 single-story masonry structure model with and without a GSI-RSM system by selecting a standard input ground motion and varying input acceleration amplitudes. The test results show that the GSI-RSM system can reduce the seismic response of superstructures. The isolation effect of the GSI-RSM system is low in small earthquakes and increases with increasing earthquake magnitude. Overall, the RSM layer can filter part of the high-frequency components of the earthquake to transmit to the superstructure and consume more seismic energy by generating friction slip in the interaction with the structural foundation.

Trends and Projections of Stomach Cancer Incidence in Hong Kong: A Population-Based Study.

OBJECTIVES: The burden of stomach cancer remains high in Hong Kong. We sought to evaluate the associations of age, period, and birth cohort with the changing trend in the incidence of stomach cancer and to provide projections through 2030. MATERIALS AND METHODS: We performed an age-period-cohort analysis and projections up to 2030 using data from the Hong Kong Cancer Registry. Additionally, we used a population decomposition algorithm to assess the drivers in the number of incident cases of stomach cancer in Hong Kong. RESULTS: Among the 26,813 stomach cancer patients, from 1994 to 2018, the age-standardized incidence rate of stomach cancer decreased for both sexes. The incidence increased with age and was highest for those aged 85 years or older. Period relative risk (RR) showed a monotonic decreasing pattern throughout the study period for both sexes before 2010. Cohort RR for males was monotonically decreasing but changed little after the 1967-1971 birth cohort. In contrast, cohort RR for females declined in the pre-1927-1931 birth cohort but slowed down since. It is projected that there will be 906 male patients and 954 female patients in 2030. Decomposition analysis suggested that population growth and aging were associated with substantial changes in the number of incident cases of stomach cancer in Hong Kong. CONCLUSIONS: Both period and cohort risk of developing stomach cancer in Hong Kong have slowed down or plateaued. Our study demonstrates that population aging and growth are the main drivers of the increased number of incident cases of stomach cancer in Hong Kong.

Enhanced Delivery of TLR7/8 Agonists by Metal-Organic Frameworks for Hepatitis B Virus Cure.

Hepatitis B virus (HBV) infection remains a major challenge to global health due to unsatisfactory treatment efficacy, side effects of current therapies, and immune tolerance. Toll-like receptors 7/8 (TLR7/8) agonists have shown great potential in chronic hepatitis B (CHB) cure, but systemic administration often induces severe side effects due to rapid dispersion into the microvasculature. Herein, we encapsulate an imidazoquinoline-based TLR7/8 agonist (IMDQ) into zeolitic imidazolate framework 8 nanoparticles (IMDQ@ZIF-8 NPs) for HBV immunotherapy. Compared with free IMDQ, IMDQ@ZIF-8 NPs efficiently accumulate in the liver and are selectively taken up by antigen-presenting cells (APCs), leading to enhanced APC activation and efficient viral elimination in HBV-infected models. Strikingly, MDQ@ZIF-8 NP treatment results in the obvious production of anti-HBs antibody and seroconversion in HBV-infected mice. Overall, this study on the convergence of a facile assembly approach and efficient therapeutic effects represents a promising strategy for HBV treatment.

A Low-Latency RDP-CORDIC Algorithm for Real-Time Signal Processing of Edge Computing Devices in Smart Grid Cyber-Physical Systems.

Smart grids are being expanded in scale with the increasing complexity of the equipment. Edge computing is gradually replacing conventional cloud computing due to its low latency, low power consumption, and high reliability. The CORDIC algorithm has the characteristics of high-speed real-time processing and is very suitable for hardware accelerators in edge computing devices. The iterative calculation method of the CORDIC algorithm yet leads to problems such as complex structure and high consumption of hardware resource. In this paper, we propose an RDP-CORDIC algorithm which pre-computes all micro-rotation directions and transforms the conventional single-stage iterative structure into a three-stage and multi-stage combined iterative structure, thereby enabling it to solve the problems of the conventional CORDIC algorithm with many iterations and high consumption. An accuracy compensation algorithm for the direction prediction constant is also proposed to solve the problem of high ROM consumption in the high precision implementation of the RDP-CORDIC algorithm. The experimental results showed that the RDP-CORDIC algorithm had faster computation speed and lower resource consumption with higher guaranteed accuracy than other CORDIC algorithms. Therefore, the RDP-CORDIC algorithm proposed in this paper may effectively increase computation performance while reducing the power and resource consumption of edge computing devices in smart grid systems.

Global optimisation of source and mask in inverse lithography via tabu search combined with genetic algorithm.

Source mask optimisation (SMO) is a resolution enhancement technology that is utilised in the advanced process node of optical lithography to achieve acceptable imaging quality and fidelity. It is crucial in enhancing the convergence performance and optimisation capability of pixel-based SMO. In this study, an SMO approach that employs a genetic algorithm (GA), combined with the tabu search method (TS), is proposed. GA-TS, a hybrid-type global optimisation algorithm, has an outperforming capacity to avoid local optima owing to the excellent local searching function of TS. Furthermore, an edge-optimisation strategy was implemented to optimise the mask for a low-complexity mask layout. The simulation results confirm that the proposed approach exhibits exceptional optimisation capability and convergence performance.

Numerical Investigation of Exergy Loss of Ammonia Addition in Hydrocarbon Diffusion Flames.

In this paper, a theoretical numerical analysis of the thermodynamics second law in ammonia/ethylene counter-flow diffusion flames is carried out. The combustion process, which includes heat and mass transfer, as well as a chemical reaction, is simulated based on a detailed chemical reaction model. Entropy generation and exergy loss due to various reasons in ammonia/ethylene and argon/ethylene flames are calculated. The effects of ammonia addition on the thermodynamics efficiency of combustion are investigated. Based on thermodynamics analysis, a parameter, the lowest emission of pollutant (LEP), is proposed to establish a relationship between the available work and pollutant emissions produced during the combustion process. Chemical reaction paths are also analyzed by combining the chemical entropy generation, and some important chemical reactions and substances are identified. The numerical results reveal that ammonia addition has a significant enhancement on heat transfer and chemical reaction in the flames, and the total exergy loss rate increases slightly at first and then decreases with an increase in ammonia concentration. Considering the factors of thermodynamic efficiency, the emissions of CO2 and NOx reach a maximum when ammonia concentration is near 10% and 30%, respectively. In terms of the chemical reaction path analysis, ammonia pyrolysis and nitrogen production increase significantly, while ethylene pyrolysis and carbon monoxide production decrease when ammonia is added to hydrocarbon diffusion flames.

A Dual-Branch Self-Boosting Framework for Self-Supervised 3D Hand Pose Estimation.

Although 3D hand pose estimation has made significant progress in recent years with the development of the deep neural network, most learning-based methods require a large amount of labeled data that is time-consuming to collect. In this paper, we propose a dual-branch self-boosting framework for self-supervised 3D hand pose estimation from depth images. First, we adopt a simple yet effective image-to-image translation technology to generate realistic depth images from synthetic data for network pre-training. Second, we propose a dual-branch network to perform 3D hand model estimation and pixel-wise pose estimation in a decoupled way. Through a part-aware model-fitting loss, the network can be updated according to the fine-grained differences between the hand model and the unlabeled real image. Through an inter-branch loss, the two complementary branches can boost each other continuously during self-supervised learning. Furthermore, we adopt a refinement stage to better utilize the prior structure information in the estimated hand model for a more accurate and robust estimation. Our method outperforms previous self-supervised methods by a large margin without using paired multi-view images and achieves comparable results to strongly supervised methods. Besides, by adopting our regenerated pose annotations, the performance of the skeleton-based gesture recognition is significantly improved.

Liver PP2A-Cα Protects From Parenteral Nutrition-associated Hepatic Steatosis.

BACKGROUND & AIMS: Parenteral nutrition (PN) is a lifesaving therapy for patients with intestinal failure. Hepatic steatosis is a potentially fatal complication of long-term PN, but the involved pathological mechanisms are incompletely unclarified. Herein, we identify the role of protein phosphatase 2A (PP2A) in the pathogenesis of parenteral nutrition-associated hepatic steatosis (PNAHS). METHODS: Proteomic/phosphoproteomic analyses of liver samples from patients with PNAHS were applied to identify the mechanism of PNAHS. Total parenteral nutrition (TPN) mice model, in vivo, and in vitro experiments were used to assess the effect of PP2A-Cα on liver fatty acid metabolism. RESULTS: Reduced expression of PP2A-Cα (catalytic subunit) enhanced activation of serine/threonine kinase Akt2 and decreased activation of adenosine monophosphate-activated protein kinase (AMPK) were associated with hepatic steatosis in patients with PNAHS. Mice given PN for 14 days developed hepatic steatosis, down-regulation of PP2A-Cα, activation of Akt2, and inhibition of AMPK. Hepatocyte-specific deletion of PP2A-Cα in mice given PN exacerbated Akt2 activation, AMPK inhibition, and hepatic steatosis through an effect on fatty acid degradation, whereas hepatocyte-specific PP2A-Cα overexpression significantly ameliorated hepatic steatosis accompanied with Akt2 suppression and AMPK activation. Additionally, pharmacological activation of Akt2 in mice overexpressing PP2A-Cα led to the aggravation of hepatic steatosis. CONCLUSIONS: Our findings demonstrate that hepatic PP2A-Cα serves as a protective factor of PNAHS due to ameliorating hepatic steatosis and improving liver function. Our study provides a strong rationale that PP2A-Cα may be involved in the pathogenesis of PNAHS.

Nanoplastic impacts on the foliar uptake, metabolism and phytotoxicity of phthalate esters in corn (Zea mays L.) plants.

Nanoplastic pollution in terrestrial plants is of increasing concern for its negative effects on living organisms. However, the impacts of nanoplastics on chemical processes and plant physiology of phthalate esters (PAEs) remain unclear. The present work offers insight into the foliar uptake, metabolism and phytotoxicity of two typical PAEs, namely, di-n-butyl phthalate (DBP) and di-(2-ethylhexyl) phthalate (DEHP), in corn (Zea mays L.) seedlings and the effects of amino-functionalized polystyrene nanoplastics (PSNPs-NH2). The presence of PSNPs-NH2 increased DBP and DEHP accumulation in the leaves by 1.36 and 1.32 times, respectively. PSNPs-NH2 also promoted the leaf-to-root translocation of DBP and DEHP, with the translocation factor increasing by approximately 1.05- and 1.16-fold, respectively. Furthermore, the addition of PSNPs-NH2 significantly enhanced the transformation of PAEs to their primary metabolites, mono-butyl phthalate and mono(2-ethylhexyl) phthalate in corn leaves and roots. The co-presence of PSNPs-NH2 and PAEs showed stronger impairment of photosystem II efficiency via the downregulation of transporter D1 protein, thus exhibiting a greater inhibitory effect on plant growth. Our findings reveal that nanoplastics promote the foliar uptake and transformation of PAE chemicals in crops and exacerbate their toxicity to crop plants, thereby threatening agricultural safety and human health.