Functional characterization of D-type cyclins involved in cell division in rice.

BACKGROUND: D-type cyclins (CYCD) regulate the cell cycle G1/S transition and are thus closely involved in cell cycle progression. However, little is known about their functions in rice. RESULTS: We identified 14 CYCD genes in the rice genome and confirmed the presence of characteristic cyclin domains in each. The expression of the OsCYCD genes in different tissues was investigated. Most OsCYCD genes were expressed at least in one of the analyzed tissues, with varying degrees of expression. Ten OsCYCD proteins could interact with both retinoblastoma-related protein (RBR) and A-type cyclin-dependent kinases (CDKA) forming holistic complexes, while OsCYCD3;1, OsCYCD6;1, and OsCYCD7;1 bound only one component, and OsCYCD4;2 bound to neither protein. Interestingly, all OsCYCD genes except OsCYCD7;1, were able to induce tobacco pavement cells to re-enter mitosis with different efficiencies. Transgenic rice plants overexpressing OsCYCD2;2, OsCYCD6;1, and OsCYCD7;1 (which induced cell division in tobacco with high-, low-, and zero-efficiency, respectively) were created. Higher levels of cell division were observed in both the stomatal lineage and epidermal cells of the OsCYCD2;2- and OsCYCD6;1-overexpressing plants, with lower levels seen in OsCYCD7;1-overexpressing plants. CONCLUSIONS: The distinct expression patterns and varying effects on the cell cycle suggest different functions for the various OsCYCD proteins. Our findings will enhance understanding of the CYCD family in rice and provide a preliminary foundation for the future functional verification of these genes.

PM2.5-derived exosomal long noncoding RNA PAET participates in childhood asthma by enhancing DNA damage via m6A-dependent OXPHOS regulation.

Fine particulate matter (PM2.5) is known to enhance DNA damage levels and is involved in respiratory diseases. Exosomes can carry noncoding RNAs, especially long noncoding RNAs (lncRNAs), as regulators of DNA damage, which participate in diseases. However, their role in PM2.5-induced childhood asthma remains unclear. We performed RNA-seq to profile aberrantly expressed exosomal lncRNAs derived from PM2.5-treated human bronchial epithelial (HBE) cell models. The role of exosomal lncRNAs in childhood asthma was determined in a case-control study. The intercellular communication mechanisms of exosomal lncRNA on DNA damage were determined in vitro. Exosomes secreted by PM2.5-treated HBE cells (PM2.5-Exos) could increase the DNA damage levels of recipient HBE cells and promote the expression levels of airway remodeling-related markers in sensitive human bronchial smooth muscle cells (HBSMCs). LncRNA PM2.5-associated exosomal transcript (PAET) was highly expressed in PM2.5-Exos and was associated with PM2.5 exposure in childhood asthma. Mechanistically, exosomal lncRNA PAET promoted methyltransferase-like 3 (METTL3) accumulation by increasing its stability, which stimulated N6-methyladenosine (m6A) modification of cytochrome c oxidase subunit 4I1 (COX4I1), and COX4I1 levels were decreased in a mechanism dependent on the m6A "reader" YTH domain family 3 (YTHDF3). COX4I1 deficiency subsequently disrupted oxidative phosphorylation (OXPHOS), resulting in attenuated adenosine triphosphate (ATP) production and accumulation of reactive oxygen species (ROS), which increased DNA damage levels. This comprehensive study extends the understanding of PM2.5-induced childhood asthma via DNA damage and identifies exosomal lncRNA PAET as a potential target for childhood asthma.

Atmospheric HONO emissions in China: Unraveling the spatiotemporal patterns and their key influencing factors.

Nitrous acid (HONO) can be photolyzed to produce hydroxyl radicals (OH) in the atmosphere. OH plays a critical role in the formation of secondary pollutants like ozone (O3) and secondary organic aerosols (SOA) via various oxidation reactions. Despite the abundance of recent HONO studies, research on national HONO emissions in China remains relatively limited. Therefore, this study employed a "wetting-drying" model and bottom-up approach to develop a high-resolution gridded inventory of HONO emissions for mainland China using multiple data. We used the Monte Carlo method to estimate the uncertainty in HONO emissions. In addition, the primary sources of HONO emissions were identified and their spatiotemporal distribution and main influencing factors were studied. The results indicated that the total HONO emissions in mainland China in 2016 were 0.77 Tg N (R50: 0.28-1.42 Tg N), with soil (0.42 Tg N) and fertilization (0.26 Tg N) as the primary sources, jointly contributing to over 87% of the total. Notably, the North China Plain (NCP) had the highest HONO emission density (3.51 kg N/ha/yr). Seasonal HONO emissions followed the order: summer (0.38 kg N/ha) > spring (0.19 kg N/ha) > autumn (0.17 kg N/ha) > winter (0.06 kg N/ha). Moreover, HONO emissions were strongly correlated with fertilization, cropland, temperature, and precipitation. This study provides vital scientific groundwork for the atmospheric nitrogen cycle and the formation of secondary pollutants.

Improved ammonia emission inventory of fertilizer application for three major crops in China based on phenological data.

NH3 has an important impact on atmospheric chemistry, and its reduction has become a potential pathway to alleviate haze pollution. The existing NH3 emission inventories still have significant uncertainties in terms of their temporal distributions. In this study, we combined satellite remote-sensing phenological data with ground-station phenological data to develop a method for the temporal allocation of NH3 emissions from fertilizer application. A high-resolution dataset for fertilizer application in China was established. We developed NH3 emission inventories for the fertilization of three major crops in China, with a resolution of 1/12° × 1/12°. The results showed that there was a significant temporal variation in fertilizer application dates across the country, mainly concentrated in June (17.16 %), July (19.08 %), and August (18.77 %). The majority of fertilizer application for the three major crops occurred during the spring and summer months, with a particular emphasis on April (5.72 Tg), May (7.05 Tg), and June (4.29 Tg). The total NH3 emission from the three major crops in China in 2019 was 2.73 Tg. The North China Plain (762.23 Gg) and Middle and Lower Yangtze River Plain (606.85 Gg) were identified as the primary regions for high NH3 emissions from fertilizer application. The results also showed that NH3 emissions from the three major crops were predominantly observed during summer, with a peak value in July (606.99 Gg), mainly because of the high proportion of topdressing fertilizers. Areas with high fertilizer application generally coincided with areas of high NH3 emissions. This study may be the first to utilize remote-sensing phenological data to establish the NH3 emission inventory, which is of great significance for further improving the accuracy of the NH3 emission inventory.

Atmospheric ammonia in China: Long-term spatiotemporal variation, urban-rural gradient, and influencing factors.

In recent years, atmospheric ammonia (NH3) concentrations have increased in China. Ammonia control has become one of the next hot topics in air pollution mitigation with the increasing cost of acid gas emission reduction. In this study, using Infrared Atmospheric Sounding Interferometer (IASI) satellite observations, we analyzed the spatiotemporal distribution, the urban-rural gradient of the vertical column densities (VCDs) of NH3 and the contribution of influencing factors (meteorology, social, atmospheric acid gases, and NH3 emissions) in China from 2008 to 2019 using hotspot analysis, circular gradient analysis, geographical and temporal weighted regression, and some other methods. Our results showed that NH3 VCDs in China have significantly increased (31.88 %) from 2008 to 2019, with the highest occurring in North China Plain. The average NH3 VCDs in urban areas were significantly higher than those in rural areas, and the urban-rural gap in NH3 VCDs was widening. The results of circular gradient analysis showed an overall decreasing trend in NH3 VCDs along the urban-rural gradient. We used a geographically and temporally weighted regression model to analyze the contribution of various influencing factors to NH3 VCDs: meteorology (30.13 %), social (27.40 %), atmospheric acid gases (23.20 %), and NH3 emissions (19.28 %) factors. The results showed substantial spatiotemporal differences in the influencing factors. Atmospheric acid gas was the main reason for the increase in NH3 VCDs from 2008 to 2019. A more thorough understanding of the spatiotemporal distribution, urban-rural variations, and factors influencing NH3 in China will aid in developing control strategies to reduce PM2.5.

Rice microtubule-associated protein OsMAP65-3.1, but not OsMAP65-3.2, plays a critical role in phragmoplast microtubule organization in cytokinesis.

In plants, MAP65 preferentially cross-links the anti-parallel microtubules (MTs) and plays an important role for cytokinesis. However, the functions of MAP65 isoforms in rice (Oryza sativa. L) are largely unknown. Here, we identified two MAP65-3 homologs in rice, OsMAP65-3.1 and OsMAP65-3.2. We found that both OsMAP65-3.1 and OsMAP65-3.2 were similar in dimerization and location to AtMAP65-3, and the expression of either rice genes driven by the AtMAP65-3 promoter suppressed the cytokinesis failure and growth defect of atmap65-3. However, OsMAP65-3.1 with native promoter also recovered the atmap65-3, but OsMAP65-3.2 with its own promoter had no effects. OsMAP65-3.1 but not OsMAP65-3.2 was actively expressed in tissues enriched with dividing cells. R1R2R3-Myb (MYB3R) transcription factors directly bound to the OsMAP65-3.1 promoter but not that of OsMAP65-3.2. Furthermore, osmap65-3.2 had no obvious phenotype, while either osmap65-3.1 or osmap65-3.1(+/-) was lethal. The eminent MTs around the daughter nuclei and cytokinesis defects were frequently observed in OsMAP65-3.1-defective plants. Taken together, our findings suggest that OsMAP65-3.1, rather than OsMAP65-3.2, plays essential roles in rice cytokinesis resulting from their differential expression which were passably directly regulated by OsMYB3Rs.

USP25 inhibits DNA damage by stabilizing BARD1 protein in a house dust mite-induced asthmatic model in vitro and in vivo.

House dust mites (HDM) can cause DNA double-strand breaks in the lungs of asthmatic patients. However, the molecular mechanisms driving DNA damage and repair in HDM-induced asthma are yet to be elucidated. Thus, in this study, HDM treatment was applied to BEAS-2B cells and mice to mimic the pathological process of asthma in vitro and in vivo, respectively. γ-H2AX foci and expression were measured by immunofluorescence staining and western blot, respectively. The levels of interleukin (IL)-4, IL-6, IL-13, and tumour necrosis factor α (TNFα) were measured using enzyme-linked immunoassay. The expression of USP25 and BARD1 was measured by reverse transcription quantitative PCR and western blot. Co-immunoprecipitation and ubiquitination assays were employed to detect the relationship between USP25 and BARD1. As per the results, it was found that the deubiquitylating enzyme USP25 repressed HDM-induced DNA damage and the production of proinflammatory cytokines, including TNF-α, IL-4, IL-8, and IL-13, in BEAS-2B cells; in contrast, the depletion of USP25 led to the opposite effects. USP25-mediated inhibition of DNA damage and inflammation was facilitated by the stabilizing protein BARD1, which is a tumor suppressor that principally functions by promoting DNA repair and replication in BEAS-2B cells. Furthermore, USP25 was found to robustly augment BARD1 protein abundance and prevent HDM-induced DNA damage and inflammation in vivo. Taken together, these results suggest a novel mechanism contributing to DNA damage and repair in HDM-induced asthma and that selectively modulating this pathway could lead to a novel therapeutic approach for controlling and managing asthma due to HDM exposure.

Fine Particulate Matter Induces Childhood Asthma Attacks via Extracellular Vesicle-Packaged Let-7i-5p-Mediated Modulation of the MAPK Signaling Pathway.

Fine particulate matter less than 2.5 µm in diameter (PM2.5 ) is a major risk factor for acute asthma attacks in children. However, the biological mechanism underlying this association remains unclear. In the present study, PM2.5 -treated HBE cells-secreted extracellular vesicles (PM2.5 -EVs) caused cytotoxicity in "horizontal" HBE cells and increased the contractility of "longitudinal" sensitive human bronchial smooth muscle cells (HBSMCs). RNA sequencing showed that let-7i-5p is significantly overexpressed in PM2.5 -EVs and asthmatic plasma; additionally, its level is correlated with PM2.5 exposure in children with asthma. The combination of EV-packaged let-7i-5p and the traditional clinical biomarker IgE exhibits the best diagnostic performance (area under the curve [AUC] = 0.855, 95% CI = 0.786-0.923). Mechanistically, let-7i-5p is packaged into PM2.5 -EVs by interacting with ELAVL1 and internalized by both "horizontal" recipient HBE cells and "longitudinal" recipient-sensitive HBSMCs, with subsequent activation of the MAPK signaling pathway via suppression of its target DUSP1. Furthermore, an injection of EV-packaged let-7i-5p into PM2.5 -treated juvenile mice aggravated asthma symptoms. This comprehensive study deciphered the remodeling of the extracellular environment mediated by the secretion of let-7i-5p-enriched EVs during PM2.5 -induced asthma attacks and identified plasma EV-packaged let-7i-5p as a novel predictor of childhood asthma.

Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION: Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.

Mitochondrial redox-driven mitofusin 2 S-glutathionylation promotes neuronal necroptosis via disrupting ER-mitochondria crosstalk in cadmium-induced neurotoxicity.

Reactive oxygen species (ROS)-mediated endoplasmic reticulum (ER) stress and mitochondrial dysfunction are known to affect the structural and functional damage in the neural system. Cadmium (Cd) is an environmental contaminant that is widely found in numerous environmental matrices and exhibits potential neurotoxic risk. However, it remains unclear how mitochondrial redox status induces, and whether Cd destabilizes, the ER-mitochondria crosstalk to have a toxic effect on the nervous system. Herein, in our present study, bioinformatics analysis revealed an important role of protein interaction and mitochondrial machinery in brain samples from Alzheimer's disease (AD) patients. Furthermore, we established a neurotoxicity model in vivo and in vitro induced by cadmium chloride (CdCl2). We demonstrated that CdCl2 exposure disrupts the balance in mitochondrial redox represented by enhanced mitochondrial ROS (mitoROS) levels, which enhance mitofusin 2 (Mfn2) S-glutathionylation and interrupt the mitochondria-associated ER membranes (MAMs) for crosstalk between the ER and mitochondria to induce neuronal necroptosis. Mechanistically, it was shown that CdCl2 exposure significantly enhances the mitochondria-associated degradation (MAD) of Mfn2 via S-glutathionylation, which inhibits Mfn2 localization to the MAMs and subsequently leads to the formation of the RIPK1-RIPK3-p-MLKL complex (a key component of the necrosome) at MAMs, to promote neuronal necroptosis. Furthermore, the glutaredoxin 1 (Grx1) catalyzed and Mfn2 overexpression restored S-glu-Mfn2, MAMs perturbation, necrosome formation, and necroptosis in neurons induced by CdCl2 exposure in vitro. Moreover, the intervention with antioxidants to reduce mitochondrial redox, such as N-acetyl-l-cysteine (NAC) and mitochondria-targeted antioxidant Mito-TEMPO, reduced the S-glutathionylation of Mfn2 involved in the antagonism of CdCl2-induced necroptosis and neurotoxicity in vivo and in vitro. Taken together, our results are the first time to demonstrate that S-glutathionylation of Mfn2 promotes neuronal necroptosis via disruption of ER-mitochondria crosstalk in CdCl2-induced neurotoxicity, providing the novel mechanistic insight into how hazardous chemical-induced adverse effects in various organs and tissues could be interpreted by intraorganellar pathways under the control of MAMs components in neurons.

Immunoregulatory Effects of Subcutaneous Immunotherapy on Lymphocyte Subgroups and Cytokines in Children with Asthma.

OBJECTIVE: Asthma is a syndrome that incorporates many immune phenotypes. The immunologic effects of subcutaneous immunotherapy (SCIT) exerts on allergic asthma remain still largely unknown. Here, we investigated the effects of SCIT on cytokine production and peripheral blood levels of lymphocyte subtypes in children with mite-induced moderate and severe allergic asthma. METHODS: The study included 60 kids with mite-induced allergic asthma from 5 to 10 years old. All subjects had received antiasthmatic pharmacologic for 3 months at baseline. Half of the children were treated with SCIT combined with pharmacologic treatment named the SCIT group and the other half only with pharmacologic therapy named the no-SCIT group. Total asthma symptom score (TASS) and total medication score (TMS) were recorded. Flow cytometry was used to identify lymphocyte subtypes: type 2 innate lymphocytes (ILC2s), type 1 (Th1) and type 2 (Th2) helper T cells, T helper 17 (Th17) cells, and regulatory T (Treg) cells. ELISA, flow cytometry, and cytometric bead array were used to assess cytokines IL-13, IFN-γ, IL-4, IL-17, and TGF-ß, at baseline and 3 and 6 months after study treatment in both groups of patients. RESULTS: Both groups can significantly improve clinical symptoms in children with asthma. SCIT can significantly reduce asthma medication after 6 months of treatment. SCIT induced a significantly higher and progressive reduction in ILC2 percentage and IL-13 levels after 3 and 6 months of treatment compared with baseline and compared with no-SCIT patients. Significant differences were detected in the Th1/Th2 cell ratio and IFN-γ/IL-4 cytokine ratio between groups after 6 months of treatment. Similarly, the Th17/Treg ratio and IL-17/TGF-ß ratio in the SCIT group were much lower than those in the no-SCIT group after 3-6 months of treatment. CONCLUSION: SCIT is a promising option to reduce the percentage of ILC2 and regulate Th1/Th2 and Th17/Treg immune balance in the peripheral blood of children with asthma.