Publications

Salmonella is one of the most common foodborne pathogens in the world, and Salmonella typhimurium, the most frequently isolated serotype, can cause zoonosis. In this study, we evaluated the effect of glucose concentration on the biofilm formation of 11 strains of Salmonella typhimurium. We found that among the selected strains, low-sugar conditions were more conducive to the formation of biofilms, although strain ST19 followed another rule. As the glucose concentration increased, biofilm formation showed an increasing trend. When the concentration of glucose reached 1.5%, other strains no longer formed biofilms, while strain ST19 still had strong biofilm formation ability. Therefore, we selected a culture medium containing 1.5% glucose to collect biofilms and planktonic cells of strain ST19 and compared them with strain CDC3, which did not produce a biofilm under these conditions, for transcriptomics analysis. The results showed that the related genes in the phosphotransferase system (PTS) and the operon genes regulated by AI-2 signaling molecules were highly downregulated in the biofilm bacteria of strain ST19 with a glucose content of 1.5%. At the same time, the genes involved in the two-component system, carbon metabolism and transcription regulation were significantly upregulated, which indicated that strain ST19 could adapt to a high-glucose environment by regulating glucose transport and metabolism in bacteria under a high-glucose environment and regulate biofilm formation by upregulating the expression of related genes in the two-component system. These findings illustrated that the regulated mechanism of Salmonella typhimurium’s biofilm formation, which are significant to control biofilm contamination.

This study aimed to explore the mechanism of Nobiletin attenuating Alzheimer’s disease (AD) by inhibiting neuroinflammation. The expression of inflam

Pharmacologically active compounds (PACs) are becoming common pollutants in the natural environment, posing potential risks to crop quality; however, the t

Abstract Diffuse large B-cell lymphoma (DLBCL) is highly heterogeneous and prone to epigenetic mutations. Non-apoptotic cell death pathways, especially ferroptosis, have become an emerging direction for cancer treatment. This project was designed to probe into the potential of histone-lysine N-methyltransferase 2D (KMT2D) in modulating DLBCL ferroptosis through epigenetic mechanisms. We employed quantitative real-time polymerase chain reaction (qRT-PCR) and western blot (WB) to detect the expression level of KMT2D, CCK-8 assay to measure cell viability, flow cytometry to assess cell cycle and apoptosis, and fluorescent probes to analyze lipid reactive oxygen species levels. 4-hydroxynonaldehyde (4-HNE) and malondialdehyde were detected by WB and corresponding kits to determine the degree of intracellular ferroptosis. The level of H3K4Me1 was determined by using WB and immunofluorescence. Furthermore, we verified the transcriptional regulatory relationship between KMT2D and SMG1 through bioinformatics analysis, chromatin immunoprecipitation assay. We also applied WB to assess the activation of the AKT-mTOR pathway. Finally, the in vitro experimental results were validated by qRT-PCR, WB, immunohistochemistry, and fluorescent probe detection in a xenograft tumor model constructed in BALB/c nude mice. Overexpression of KMT2D considerably repressed the malignant behavior of DLBCL and triggered ferroptosis in cells. KMT2D was able to bind directly to the promoter region of the SMG1 gene and induce the transcriptional antagonistic mTOR pathway of SMG1 through H3K4Me1, thereby inducing ferroptosis in DLBCL cells. These findings demonstrate that KMT2D reinforces ferroptosis in DLBCL by antagonizing SMG1-mediated mTOR signaling, identifying it as a novel therapeutic target.

Quinoa is a dicotyledonous annual herb has cold and drought resistance. However, there is little research on quinoa under waterlogging stress. We analyzed the metabolomics and transcriptomics of Dianli-1299 (waterlogging-resistant strain), Dianli-60, and Yuncaili-2 (non-waterlogging-resistant strains) quinoa seedlings. Through metabolome, we detected a total of 1058 metabolites. And 337, 300, and 386 differential metabolites were found in Dianli-1299, Dianli-60, and Yuncaili-2, respectively. Transcriptome analysis showed increased expression of saccharides and alcohols related genes in Dianli-1299 compared to Dianli-60 and Yuncaili-2. Gene-LOC110708270 and gene-LOC110681806, which were related to UTP-glucose-1-phosphate uridylyltransferase (UGP2), were significantly expressed in Dianli-1299 treatment group, and the regulated galactinol content was significantly accumulated in Dianli-1299 treatment group. Gene-LOC110736796 in Dianli-60 treatment group was significantly higher than that in Dianli-1299 treatment group, and the D-Ribose-5 P content, which is regulated by gene-LOC110736796 was lower in Dianli-60 treatment group than that in Dianli-1299 treatment group. In Dianli-1299, the raffinose content regulated by gene-LOC110707988 and gene-LOC110725594 was higher than that in Dianli-60 and Yuncaili-2. The correlation coefficients of 18 differential metabolites and differential genes were greater than 0.9, which suggested that these genes and metabolites might be key factors for quinoa to cope with waterlogging stress. Our results may provide a basis for breeding and identifying waterlogging-resistant quinoa varieties.

Many species of Inosperma cause neurotoxic poisoning in humans after consumption around the world. However, the toxic species of Inosperma and its toxin content remain unclear. In the present study, we proposed five new Inosperma species from China, namely, I. longisporum, I. nivalellum, I. sphaerobulbosum, I. squamulosobrunneum, and I. squamulosohinnuleum. Morphological and molecular phylogenetic analyses based on three genes (ITS, nrLSU, rpb2) revealed that these taxa are independent species. A key to 17 species of Inosperma in China is provided. In addition, targeted screening for the most notorious mushroom neurotoxins, muscarine, psilocybin, ibotenic acid, and muscimol, in these five new species was performed by using ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Our results show that the neurotoxin contents in these five species varied: I. sphaerobulbosum contains none of the tested neurotoxins; I. nivalellum is muscarine positive; I. longisporum and I. squamulosohinnuleum contain both ibotenic acid and muscimol, and I. squamulosobrunneum only contains muscimol; psilocybin was not detected in these five new species.

Abstract BACKGROUND Yunnan hulled wheat (YHW) is a semi‐primitive wheat. It retains many nutrients lost in modern common wheat (CW) and has received increasing attention because it is proposed to have higher nutritional values than CW. However, information on the chemical composition and metabolic profiles of nutrient components in YHW and CW is limited. The present study aimed to analyze several whole grain component traits related to nutritional quality differences in 55 YHW and CW genotypes, and compared screened five different colored‐grain representative cultivars metabolites using a ultra‐high‐performance liquid chromatography electrospray ionization‐tandem mass spectrometry‐based metabolomics approach. RESULTS Within the compared two sets of species, flavonoids, phenolic acids and amino acids were found to the main differential nutrient and bioactive metabolites. Considerable crucial differences were observed in the 15 amino acids, 39 flavonoids, 26 phenolic acids among five cultivars at filling stage, and 18 amino acids, 42 flavonoids, 26 phenolic acids crucial differences were screened among five cultivars at maturity stage. These differential metabolites were significantly enriched in the biosynthesis of amino acids, phenylproapnoid biosynthesis, flavone and flavonol biosynthesis, and flavonoid biosynthesis pathways. Additionally, correlation analysis showed most amino acids, and derivatives, and phenolic acids were significantly negative associated with the five chemical indicators. By contrarst, most flavonoids were significantly positive correlated. CONCLUSION There were notable differences in the most nutritional compounds within the two species compared and the metabolic profiles of the five cultivars. This study provides a deeper insights into the potential nutritional and health benefits of YHW compared to CW. Furthermore, it provides comprehensive insights into the utilization and development of novel wheat‐based functional foods. © 2025 Society of Chemical Industry.

Low-grade neural and peripheral inflammation are among the proposed pathophysiological mechanisms of schizophrenia. White matter impairment is one of the more consistent findings in schizophrenia but the underlying mechanism remains obscure. Many cerebral white matter components are sensitive to neuroinflammatory conditions that can result in demyelination, altered oligodendrocyte differentiation, and other changes. We tested the hypothesis that altered immune-inflammatory response system (IRS) and compensatory immune-regulatory reflex system (IRS/CIRS) dynamics are associated with reduced white matter integrity in patients with schizophrenia.

Multi-modal medical images serve as a critical basis for disease diagnosis. However, sharing multi-modal medical data between hospitals is a significant challenge due to privacy protection concerns as well as the substantial costs associated with data transfer and storage. These hurdles are further compounded by two primary issues: (1) the complexity involved in sharing data features, which arises from the intricate process of multi-modal image registration; (2) the difficulty and high cost of acquiring accurate data labels. To address these issues, we propose a novel multi-modal medical dataset distillation method based on contrastive learning. We consider each modality as a unique approach to data augmentation for the corresponding imaging region, offering a unique perspective on the same anatomical region, which is then fused to collectively contribute to a comprehensive global representation of the medical image. Validation results on two datasets indicate our method is capable of reducing the original dataset to just 5% of its original size while retaining classification performance comparable to that of the full dataset, and notably, this efficiency is achieved using only 30% of the total labels, which significantly lowers the cost and effort associated with dataset labeling.