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Proanthocyanidins are a subclass of flavonoids formed through a poorly understood polymerization process that forms chains of 3–30 catechins and epi-catechins. Proanthocyanidins serve as UV protectants and antifeedants that accumulate in diverse plant species, including the lotus. To identify candidate genes underlying proanthocyanidin synthesis and polymerization, we generated and functionally annotated transcriptomes from seedpods and seed epicarps of two lotus cultivars, “Guoqing Hong” and “Space Lotus”, which accumulate markedly divergent proanthocyanidin levels across the immature, near-mature, and mature developmental stages. Our transcriptome analysis was based on a total of 262.29 GB of raw data. We aligned the transcriptome data with the lotus genome and obtained an alignment efficiency that ranged from 91.74% to 96.44%. Based on the alignment results, we discovered 4774 new genes and functionally annotated 3232 genes. A total of 14,994 differentially expressed genes (DEGs) were identified from two-by-two comparisons of transcript libraries. We found 61 DEGs in the same developmental stage in the same tissue of different species. Comparative transcriptome analysis of seedpods and seed epicarps from two cultivars identified 14,994 differentially expressed genes (DEGs), of which 10 were functionally associated with proanthocyanidin synthesis and 9 were possibly implicated in the polymerization reactions. We independently quantified the expression of the candidate genes using qRT-PCR. Significant differences in the expression of candidate genes in different tissues and periods of lotus species are consistent with particular genes contributing to the polymerization of catechins and epi-catechins into proanthocyanidins in lotus seedpods and seed epicarps.

Camellia azalea is an endemic species within the genus Camellia that exhibits the trait of summer flowering, which is of significant ornamental and research value. Nevertheless, research on the regulatory mechanisms of flower formation in C. azalea is still limited, so in this study, transcriptome sequencing and analysis of endogenous hormone contents were conducted at three distinct growth stages: floral induction, floral organ maturation, and anthesis. Illumina sequencing yielded a total of 20,643 high-quality unigenes. Comparative analyses of representative samples from the three growth stages identified 6681, 1925, and 8400 differentially expressed genes (DEGs), respectively. These DEGs were further analyzed for functional enrichment using the GO and KEGG databases. Additionally, core genes from each flowering pathway underwent expression pattern analysis and network diagram construction. This revealed that the flower development process in C. azalea is linked to the specific expression of the genes involved in the photoperiod, temperature, and autonomous pathways and is subject to comprehensive regulation by multiple pathways. Further analysis of the dynamic trends of five endogenous hormone contents and plant hormone signal transduction genes revealed significant differences in the requirements of endogenous hormones, such as gibberellins and indoleacetic acid, by C. azalea at distinct growth stages. Additionally, the majority of genes on the phytohormone signal transduction pathway demonstrated a high correlation with the changes in the contents of each hormone. The present study integrates physiological and molecular approaches to identify key genes and metabolic pathways that regulate the summer flowering of C. azalea, thereby laying a theoretical foundation for further investigations into its flowering mechanism and related functional genes.

Bovine parainfluenza virus type 3 (BPIV-3) is one of the major pathogens of the bovine respiratory disease complex (BRDC). BPIV-3 surveillance in China has been quite limited. In this study, we used PCR to test 302 cattle in China, and found that the positive rate was 4.64% and the herd-level positive rate was 13.16%. Six BPIV-3C strains were isolated and confirmed by electron microscopy, and their titers were determined. Three were sequenced by next-generation sequencing (NGS). Phylogenetic analyses showed that all isolates were most closely related to strain NX49 from Ningxia; the genetic diversity of genotype C strains was lower than strains of genotypes A and B; the HN, P, and N genes were more suitable for genotyping and evolutionary analyses of BPIV-3. Protein variation analyses showed that all isolates had mutations at amino acid sites in the proteins HN, M, F, and L. Genetic recombination analyses provided evidence for homologous recombination of BPIV-3 of bovine origin. The virulence experiment indicated that strain Hubei-03 had the highest pathogenicity and could be used as a vaccine candidate. These findings apply an important basis for the precise control of BPIV-3 in China.

Meconopsis integrifolia is an endangered Tibetan medicinal plant with significant medicinal and ornamental value. Understanding its genetic diversity and structure is crucial for its sustainable utilization and effective conservation. Here, we develop a set of SSR markers based on transcriptome data to analyze the genetic diversity and structure of 185 individuals from 16 populations of M. integrifolia. The results indicate that M. integrifolia exhibits relatively high genetic diversity at the species level (the percentage of polymorphic bands PPB = 91.67%, Nei’s genetic diversity index He = 0.2989, Shannon’s information index I = 0.4514) but limited genetic variation within populations (PPB = 12.08%, He = 0.0399, I = 0.0610). The genetic differentiation among populations is relatively high (the coefficient of gene differentiation GST = 0.6902), and AMOVA analysis indicates that 63.39% of the total variation occurs among populations. This suggests that maintaining a limited number of populations is insufficient to preserve the overall diversity of M. integrifolia. Different populations are categorized into four representative subclusters, but they do not cluster strictly according to geographical distribution. Limited gene flow (Nm = 0.2244) is likely the main reason for the high differentiation among these populations. Limited seed and pollen dispersal abilities, along with habitat fragmentation, may explain the restricted gene flow among populations, highlighting the necessity of conserving as many populations in the wild as possible.

A serous effusion is a buildup of extra fluid in the serous cavities including pleural, peritoneal, and pericardial cavities. It is important to distinguish benign reactive effusions from effusions caused by malignant proliferation in cytopathology since different diagnoses can lead to completely different disease staging and therapeutic choices. The conventional cytopathology procedure has the disadvantages of low throughput and low objectivity. To enhance the efficiency and accuracy of malignant serous effusion diagnosis, in this paper, an imaging flow cytometry, called optofluidic time‐stretch microscopy is first employed, to image the cells in the serous effusion at an event rate of 100 000 events per second and with a spatial resolution better than 1 µm. The acquired cellular images are then analyzed using a convolutional neural network, by which the malignant cells are accurately detected. The performance of the method is validated with 18 clinical samples, including 14 malignant and 4 benign ones. The results show that the method can detect malignant cells at an accuracy of 90.53%. The high throughput, high accuracy, and high convenience of the method make it a potential solution for malignant serous effusion diagnosis in various scenarios. Intelligent imaging flow cytometry to image the cells in the serous effusion at an event rate of 100 000 events per second and with a spatial resolution better than 1 µm. High accuracy and high throughput convolutional neural network in clinical settings to distinguish benign reactive effusions from effusions caused by malignant proliferation.

Significance: The use of optofluidic time-stretch flow cytometry enables extreme-throughput cell imaging but suffers from the difficulties of capturing and processing a large amount of data. As significant amounts of continuous image data are generated, the images require identification with high speed. Aim: We present an intelligent cell phenotyping framework for high-throughput optofluidic time-stretch microscopy based on the XGBoost algorithm, which is able to classify obtained cell images rapidly and accurately. The applied image recognition consists of density-based spatial clustering of applications with noise outlier detection, histograms of oriented gradients combining gray histogram fused feature, and XGBoost classification. Approach: We tested the ability of this framework against other previously proposed or commonly used algorithms to phenotype two groups of cell images. We quantified their performances with measures of classification ability and computational complexity based on AUC and test runtime. The tested cell image datasets were acquired from high-throughput imaging of over 20,000 drug-treated and untreated cells with an optofluidic time-stretch microscope. Results: The framework we built beats other methods with an accuracy of over 97% and a classification frequency of 3000  cells  /  s. In addition, we determined the optimal structure of training sets according to model performances under different training set components. Conclusions: The proposed XGBoost-based framework acts as a promising solution to processing large flow image data. This work provides a foundation for future cell sorting and clinical practice of high-throughput imaging cytometers.

This study aimed to investigate the feasibility and safety of low-dose radiotherapy (RT) (< 50 Gy) in patients with stage I/II Extranodal NK/T-cell lymphoma (ENKTCL). Clinical and treatment data from 158 stage I/II ENKTCL patients who received combined chemoradiotherapy at the First Affiliated Hospital of Zhengzhou University from 2020 to 2022 were retrospectively analyzed to compare locoregional control (LC) and survival outcomes between high-dose (≥ 50 Gy) and low-dose (< 50 Gy) RT groups. All patients achieved an objective response (OR) after treatment, with a median follow-up of 51 months. The 5-year overall survival (OS) and progression-free survival (PFS) rates were 90.1% and 81.7% in the high-dose group ( n  = 130), compared to 84.0% and 68.2% in the low-dose group ( n  = 28), with no significant statistical differences between the two groups. Notably, no local recurrence was observed in the low-dose group (100% local control rate), and the incidence of grade ≥ 3 RT-related adverse events (AEs) was significantly lower in the low-dose group than in the high-dose group. Preliminary evidence suggests that for newly diagnosed stage I/II ENKTCL patients receiving combined chemoradiotherapy, low-dose radiotherapy may not compromise LC and survival outcomes while reducing the incidence of grade 3–4 adverse events, with 40–45 Gy appearing to be the optimal dose range within the examined parameters.

Understanding how people perceive urban streetscapes is essential for enhancing the visual quality of the urban environment and optimizing street space design. While perceptions are shaped by the interplay of multiple visual elements, existing studies often isolate single semantic features, overlooking their combinations. This study proposes a Landscape Element Combination Extraction Method (SLECEM), which integrates the UniSal saliency detection model and semantic segmentation to identify landscape combinations that play a dominant role in human perceptions of streetscapes. Using street view images (SVIs) from the central area of Futian District, Shenzhen, China, we further construct a multi-dimensional feature–perception coupling analysis framework. The key findings are as follows: 1. Both low-level visual features (e.g., color, contrast, fractal dimension) and high-level semantic features (e.g., tree, sky, and building proportions) significantly influence streetscape perceptions, with strong nonlinear effects from the latter. 2. K-Means clustering of salient landscape element combinations reveals six distinct streetscape types and perception patterns. 3. Combinations of landscape features better reflect holistic human perception than single variables. 4. Tailored urban design strategies are proposed for different streetscape perception goals (e.g., beauty, safety, and liveliness). Overall, this study deepens the understanding of streetscape perception mechanisms and proposes a highly operational quantitative framework, offering systematic theoretical guidance and methodological tools to enhance the responsiveness and sustainability of urban streetscapes.

Chinese medicine is identified as a candidate for wound healing. Attempts in this field tend to develop efficient dosage forms for delivering Chinese medicine with low side effects. In this paper, we proposed novel photothermal responsive porous hollow microneedles (PRPH‐MNs) as a versatile Chinese medicine delivery system for efficient antibacterial wound treatment. The PRPH‐MNs are composed of porous resin shells with good mechanical property, hydrogel cores, and a photothermal graphene oxide hybrid substrate. The hollow structure provides sufficient space for loading the drug dispersed hydrogel, while the porous resin shells could not only block the direct contact between drugs and wound sites but also provide channels for facilitating the drug release from the core. In addition, benefiting from the photothermal effect of their substrate, the PRPH‐MNs could be heated under near‐infrared (NIR) irradiation for controllable promotion of drug release. Based on these features, we have proved that the antibacterial Chinese medicine Rhein loaded PRPH‐MNs were effective in promoting wound healing due to their good antibacterial property and on‐demand drug release. Thus, we believe that the proposed PRPH‐MNs are valuable for delivery of different drugs for clinical applications. Porous and hollow structure is integrated with photothermal responsive microneedles, providing a large volume for drug loading and more pathways for controllable drug release. The introduction of Chinese medicine avoids side effects and drug resistance with long‐term use. The microneedles loaded with Rhein effectively inhibit bacterial growth and serve as a sustained drug delivery system for effective wound healing.