Publications by authors named "Yanwen Li"

Background: Prior studies have elucidated that alterations in gut microbiota are associated with a spectrum of tumors and metabolic disorders. However, the diagnostic value of gut microbiota in epithelial ovarian cancer remains insufficiently investigated.

Methods: A total of 34 patients with a diagnosis of epithelial ovarian cancer (EOC), 15 patients with benign ovarian tumors (TB), and 30 healthy volunteers (NOR) were enrolled in this study.

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Environmental pollutant exposure has been demonstrated to be associated with the onset and progression of asthma. Hypochlorous acid (HOCl), as an environmental exposure-relevant chlorine-based disinfectant, its role in asthmatic airway inflammation remains unclear. Through administering HOCl in drinking water during early life and the perinatal period, we discovered that early-life HOCl drinking water exposure not only aggravated airway inflammation in asthmatic mice but also that perinatal HOCl drinking water exposure could promote airway inflammation in the offspring of asthmatic mice.

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Introduction: Asparagus is a valuable vegetable, and its edible part is a tender stem. The color of the tender stem epidermis is an important trait. In particular, purple asparagus is rich in anthocyanins.

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is a major swine pathogen, classified into 19 serotypes based on capsular polysaccharide (CPS) loci. This study aimed to improve the diagnostic method to differentiate between serotypes 9 and 11, which are challenging to distinguish using conventional serological and molecular methods. A novel qPCR assay based on locked nucleic acid (LNA) probes was developed and validated using a collection of reference strains representing all known 19 serotypes.

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Phthalate esters (PAEs) accumulated in activated sludge posed serious threats to agroecosystems and environment. Traditional aerobic (AE) and anaerobic (AN) composting were limited in achieving sustained PAEs degradation due to the single structure of microbial community. Here, the effectiveness and microbiological mechanisms of bacterial-augmented aerobic composting (AEB) in reducing activated sludge PAEs were investigated, with comparison of anaerobic composting (ANB).

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Hepatocellular carcinoma (HCC) is a malignant tumor with high morbidity and mortality. Many lncRNAs play important regulatory roles in the pathogenesis of HCC, but the mechanism of action of LINC00342 in the progression of HCC remains unclear. In this study, we assessed 24 pairs of HCC tissues and adjacent normal tissues as well as HCC cells and a nude mouse model of HCC.

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Phthalate acid esters (PAEs) are prevalent emerging contaminants in agricultural environments. The uptake of PAEs by crop plants has attracted extensive attention due to the risks posed to human health through transfer in food chains. Despite its importance, the interaction between PAEs and crop plants remains poorly understood.

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To address the challenges of unbalanced class labels with varying maturity levels of tomato fruits and low recognition accuracy for both fruits and stems in intelligent harvesting, we propose the YOLOX-SE-GIoU model for identifying tomato fruit maturity and stems. The SE focus module was incorporated into YOLOX to improve the identification accuracy, addressing the imbalance in the number of tomato fruits and stems. Additionally, we optimized the loss function to GIoU loss to minimize discrepancies across different scales of fruits and stems.

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The emergence of SARS-CoV-2 variants with defined mutations that enhance pathogenicity or facilitate immune evasion has resulted in a continual decline in the protective efficacy of existing vaccines. Therefore, there is a pressing need for a vaccine capable of combating future variants. In this study, we designed new mRNA vaccines, BSCoV05 and BSCoV06, and generated point mutations in the receptor-binding domain (RBD) of the original Wuhan strain to increase their broad-spectrum antiviral activity.

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Chikungunya virus (CHIKV) is a mosquito-borne alphavirus that is primarily known for causing severe joint and muscle symptoms, but its pathological effects have extended beyond these tissues. In this study, we conducted a comprehensive proteomic analysis across various organs in rodent and nonhuman primate models to investigate CHIKV's impact on organs beyond joints and muscles and to identify key host factors involved in its pathogenesis. Our findings reveal significant species-specific similarities and differences in immune responses and metabolic regulation, with proteins like Interferon-Stimulated Gene 15 (ISG15) and Retinoic Acid-Inducible Gene I (RIG-I) playing crucial roles in the anti-CHIKV defense.

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Background: Exposure to metal could impact women's depression risk. However, the connection and mechanisms between metalloestrogens exposure and depression are still not fully understood. We aim to explore the associations between metalloestrogens and the risk of depression in women across reproductive lifespan.

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Ischemic stroke is a leading cause of disability and mortality worldwide, with current therapies limited in addressing its complex pathophysiological mechanisms, such as inflammation, oxidative stress, apoptosis, and impaired autophagy. Glycyrrhizic acid (GA), a bioactive compound from licorice ( L.), has demonstrated neuroprotective properties in preclinical studies.

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Variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to emerge and evade immunity, resulting in breakthrough infections in vaccinated populations. There is an urgent need for the development of vaccines with broad protective effects. In this study, we selected hotspot mutations in the receptor-binding domain (RBD) that contribute to immune escape properties and integrated them into the original RBD protein to obtain a complex RBD protein (cRBD), and we found cRBDs have broad protective effects against SARS-CoV-2 variants.

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Convolutional neural networks (CNNs) have shown remarkable progress in medical image segmentation. However, the lesion segmentation remains a challenge to state-of-the-art CNN-based algorithms due to the variance in scales and shapes. On the one hand, tiny lesions are hard to delineate precisely from the medical images which are often of low resolutions.

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In this study, the cooling effect below ambient air temperature, heat dissipation properties and heating energy efficacy of a superomniphobic self-cleaning (SSC) highly emissive (HE) coating were systematically investigated. Except at midday, the SSC-HE coating with an extremely high solar reflectance of 0.985 showed a better cooling effect than a 10-cm-thick polyurethane insulation layer.

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Article Synopsis
  • Multi-sequence magnetic resonance imaging (MRI) is essential for detecting knee abnormalities but requires expert radiologists for accurate interpretation.
  • A new deep learning model was developed using co-plane attention to classify knee abnormalities, tested on a large dataset of 1748 subjects with 12 different abnormalities.
  • The model achieved a high accuracy of 0.78, outperforming junior radiologists and showing similar performance to senior radiologists, while also improving overall diagnostic accuracy for radiologists who used the model's output.
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Article Synopsis
  • Congenital birth defects (CBD) are a major cause of child deaths around the world, and their rates change a lot from one country to another.
  • A study looked at CBD rates in 189 countries and how these relate to a measure called the Human Development Index (HDI), which reflects how developed a country is.
  • The results showed that as countries become more developed (higher HDI), the rates of both new cases and deaths from CBD tend to go down, suggesting that better access to healthcare may help reduce these issues.
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Acute oral toxicity is currently not available for most polycyclic aromatic hydrocarbons (PAHs), especially their derivatives, because it is cost-prohibitive to experimentally determine all of them. Here, quantitative structure-activity relationship (QSAR) models using machine learning (ML) for predicting the toxicity of PAH derivatives were developed, based on oral toxicity data points of 788 individual substances of rats. Both the individual ML algorithm gradient boosting regression trees (GBRT) and the stacking ML algorithm (extreme gradient boosting + GBRT + random forest regression) provided the best prediction results with satisfactory determination coefficients for both cross-validation and the test set.

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Article Synopsis
  • Lettuce is a commonly grown vegetable, but its gene annotation is incomplete, which hinders research and the use of genomic resources.
  • The study introduces the HIT-ISOseq method, which enhances RNA sequencing productivity by combining cDNA and demonstrating significant improvements in analyzing lettuce tissue samples.
  • The research identifies tissue-specific gene expression patterns and refines the annotation of the lettuce reference genome, offering a comprehensive resource for further genomic studies.
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Simultaneous biodegradation of multiple micropollutantslike polycyclic aromatic hydrocarbons (PAHs) and phthalates (PAEs) by microbial consortia remain unclear. Here, four distinct bacterial consortia capable of degrading PAHs and PAEs were domesticated from sludge and its composts. PAH-degrading consortium HS and PAE-degrading consortium EC2 displayed the highest degradation efficiencies for PAHs (37 %-99 %) and PAEs (98 %-99 %), respectively, being significantly higher than those of individual member strains.

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Di-n-butyl phthalate (DBP) is one of the important phthalates detected commonly in soils and crops, posing serious threat to human health. Pseudochrobactrum sp. XF203 (XF203), a new strain related with DBP biodegradation, was first identified from a natural habitat lacking human disturbance.

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Sinonasal malignant tumors are a group of uncommon malignancies that account for less than 1% of all tumors. These tumors often involve the maxillary sinus and nasal cavity, with less cumulative incidence in the ethmoidal sinus, sphenoidal sinus, and frontal sinus. The lack of consensus on the management of sinonasal malignancies is due to their rarity, diagnostic challenges, and the heterogeneity of treatments.

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Xanthates, common mining flotation reagents, strongly bind thiophilic metals such as copper (Cu), lead (Pb), cadmium (Cd), and zinc (Zn) and consequentially change their bioavailability and mobility upon their discharge into the environment. However, accurate quantification of the metal-xanthate complexes has remained elusive. This study develops a novel and robust method that realizes the accurate quantification of the metal-xanthate complexes resulted from single and multiple reactions of three typical xanthates (ethyl, isopropyl, and butyl xanthates) and four thiophilic metals (Cu, Pb, Cd, and Zn) in water samples.

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Asparagus is a nutritionally dense stem vegetable whose growth and development are correlated with its quality and yield. To investigate the dynamic changes and underlying mechanisms during the elongation and growth process of asparagus stems, we documented the growth pattern of asparagus and selected stem segments from four consecutive elongation stages using physiological and transcriptome analyses. Notably, the growth rate of asparagus accelerated at a length of 25 cm.

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Background: The occurrence of liver metastasis significantly affects the prognosis of colorectal cancer (CRC). Existing research indicates that primary tumor location, vascular invasion, lymph node metastasis, and abnormal preoperative tumor markers are risk factors for CRC liver metastasis. Positive expression of programmed cell death ligand 1 (PD-L1) may serve as a favorable prognostic marker for nasopharyngeal and gastric cancers, in which combined positive score (CPS) quantifies the level of PD-L1 expression.

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