Publications by authors named "Yanjun Lu"

Phage therapy is a promising antibacterial strategy against the antibiotic resistance crisis. The evolved phage resistance could pose a big challenge to clinical phage therapy. Therefore, it is necessary to conduct a comprehensive analysis of phage resistance mechanisms during treatment.

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The microenvironment tends to be immunosuppressive during tumor growth and proliferation. Immunotherapy has attracted much attention because of its ability to activate tumor-specific immune responses for tumor killing. The cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway is an innate immune pathway that activates antitumor immunity by producing type I interferons.

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Background: This study aims to investigate adverse drug reaction signals associated with coagulopathies through data mining using the Adverse Event Reporting System (FAERS) of the US Food and Drug Administration. Prompt identification of high-risk drugs provides a valuable basis for enhancing clinical drug safety.

Methods: The adverse event reports related to coagulopathies from Q1 2004 to Q2 2024 were extracted from the ASCII data packages in FAERS.

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Long non-coding RNAs (LncRNAs) are crucial regulators of gene expression and cellular processes, with significant implications for cancer research. This review focuses on the role of LncRNA CARMN (Cardiac Arrest and Regulated Myocyte Nuclear Protein) in various cancers. CARMN, originally identified for its function in cardiac tissues, has shown dysregulated expression in several tumor types, including cervical, breast, colorectal, and esophageal cancers.

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Deep neural networks have powerful memory capabilities, yet they frequently suffer from overfitting to noisy labels, leading to a decline in classification and generalization performance. To address this issue, sample selection methods that filter out potentially clean labels have been proposed. However, there is a significant gap in size between the filtered, possibly clean subset and the unlabeled subset, which becomes particularly pronounced at high-noise rates.

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In this study, a novel label-free fluorescent aptasensor with an aggregation-induced emission enhancement effect was developed and applied for the detection of carcinoembryonic antigen (CEA). The sensor has a simple detection mechanism, easy operation, high sensitivity (with low limit of detection of 1 pg mL), good selectivity, and wide linear range (0.003-10 ng mL).

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Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer death worldwide. The discovery of new effective therapeutic drugs is always a priority. Magnesium lithospermate B (MLB), a native polyphenol acid, is the major component of the aqueous extracts from Danshen, a traditional Chinese medicine derived from the dry root and rhizome of .

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Klebsiella pneumoniae is among the most important Gram-negative pathogens that can cause serious nosocomial infections. The emergence and prevalence of hypervirulent carbapenem-resistant K. pneumoniae (Hv-CRKP) pose a significant challenge to public health.

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Article Synopsis
  • Immunotherapy is becoming a leading approach for treating cancer, particularly with the activation of the cGAS-STING pathway that helps direct tumor-associated macrophages (TAMs) to fight tumors more effectively.
  • Researchers have developed a new type of manganese porphyrins called photo-STING agonists (PSAs) and packaged them into nanoparticles that target tumors and TAMs, enhancing the delivery of manganese while reducing toxicity.
  • These PSAs not only improve manganese delivery but also trigger the release of reactive oxygen species when exposed to light, stimulating the immune response that leads to better tumor eradication through the activation of dendritic cells and T lymphocytes.
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Article Synopsis
  • Colorectal polyps are precursors to colorectal cancer, and this study aimed to create a non-invasive machine learning model to enhance early diagnosis using easily accessible health records.* -
  • Conducted in China with over 5,000 participants, the study utilized various demographic and health data to train and validate multiple machine learning models, ultimately identifying 14 key predictors for diagnosing polyps.* -
  • The AdaBoost model outperformed other machine learning approaches, achieving notable accuracy and predictive values, with the final model demonstrating a significant area under the curve (AUC) in validating its effectiveness.*
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Aim: Pancreatic ductal adenocarcinoma (PAAD) is recognized as an exceptionally aggressive cancer that both highly lethal and unfavorable prognosis. The mitochondrial metabolism pathway is intimately involved in oncogenesis and tumor progression, however, much remains unknown in this area. In this study, the bioinformatic tools have been used to construct a prognostic model with mitochondrial metabolism-related genes (MMRGs) to evaluate the survival, immune status, mutation profile, and drug sensitivity of PAAD patients.

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The precision of previous cancer research based on tumor spheroids, especially the microgel-encapsulating tumor spheroids, was limited by the high heterogeneity in the tumor spheroid size and shape. Here, we reported a user-friendly solenoid valve-based sorter to reduce this heterogeneity. The artificial intelligence algorithm was employed to detect and segmentate the tumor spheroids in real-time for the size and shape calculation.

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Background: Epidemiological studies have shown that fatty acids, especially polyunsaturated fatty acids (PUFAs), influence colorectal carcinogenesis. Colon polyps, particularly those identified as precancerous, are a frequently encountered phenomenon associated with PUFAs. However, the results are inconsistent.

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Objective: Metabolic reprogramming serves as a distinctive feature of cancer, impacting proliferation and metastasis, with aberrant glycosphingolipid expression playing a crucial role in malignancy. Nevertheless, limited research has investigated the connection between glycosphingolipid metabolism and pancreatic cancer.

Methods: This study utilized a single-cell sequencing dataset to analyze the cell composition in pancreatic cancer tissues and quantified single-cell metabolism using a newly developed computational pipeline called scMetabolism.

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Article Synopsis
  • * Research indicates that the protein WDR1 plays a critical role in prostate cancer cell behavior, where reducing WDR1 levels decreases cell growth and spread, while increasing WDR1 promotes these harmful traits.
  • * The study also reveals that activating the Wnt/β-Catenin signaling pathway can counteract the effects of lowering WDR1, suggesting that targeting the WDR1-β-Catenin pathway could be a new way to treat prostate cancer.
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Alzheimer's disease (AD) stands as a neurodegenerative disorder causing cognitive decline, posing a significant health concern for the elderly population in China. This study explored the effects of outer membrane vesicles (OMVs) from the gut microbiota of AD patients on learning and memory abilities and Tau protein phosphorylation in mice. In contrast to the OMVs from healthy controls and the PBS treatment group, mice treated with AD-OMVs exhibited notable declines in learning and memory capabilities, as evidenced by results from the Morris water maze, Y-maze, and novel object recognition tests.

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Unlabelled: Hepatocellular carcinoma (HCC) is a typical tumor that undergoes metabolic reprogramming, differing from normal liver tissue in glucose, lipid, nucleic acid, and amino acid metabolism. Although ammonia is a toxic metabolic by-product, it has also been recently recognized as a signaling molecule to activate lipid metabolism, and it can be a nitrogen source for biosynthesis to support tumorigenesis. In this study, we revealed that β-catenin activation increases ammonia production in HCC mainly by stimulating glutaminolysis.

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For tumor treatment, the ultimate goal in tumor therapy is to eliminate the primary tumor, manage potential metastases, and trigger an antitumor immune response, resulting in the complete clearance of all malignant cells. Tumor microenvironment (TME) refers to the local biological environment of solid tumors and has increasingly become an attractive target for cancer therapy. Neutrophils within TME of gastric cancer (GC) spontaneously undergo ferroptosis, and this process releases oxidized lipids that limit T cell activity.

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Objective: To investigate the changes and functions of Sox2 gene expression and promoter methylation during induced differentiation of bone marrow mesenchymal stem cells (BMSCs) into hepatocytes (HCs).

Methods: Rat bone marrow Thy-1Lin cells were prepared and divided into control group (directed induction of differentiation into HCs) and experimental group (5-azacytidine intervention induced differentiation). The mRNA expression levels of ALB and Sox2 were detected by fluorescence quantitative polymerase chain reaction (PCR), and the Sox2 gene promoter methylation level was determined by Bisulfite sequencing PCR (BSP).

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Background: Hepatocellular carcinoma (HCC) is one of the most serious malignant tumors threatening human life with a high mortality rate. The liver regenerative capacity after hepatectomy in early-stage HCC patients is influenced by various factors, including surgical methods and energy metabolism. This study aims to provide a prognostic model based on genes related to liver regeneration that can predict the prognosis of non-tumor tissues in HCC patients.

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Background: Inflammatory myofibroblastic tumors (IMTs) are characterized by myofibroblast proliferation and an inflammatory cell infiltrate. Our previous study on IMTs reveals that disrupt NMD pathway causes to lower the threshold for triggering the immune cell infiltration, thereby resulting in inappropriate immune activation. However, myofibroblast differentiation and proliferation is not yet known.

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A family of hexagonal in-plane chemical ordering (MoR)AlB (R = Tb, Dy, Ho, Er, Tm, and Lu) i-MAB phases are synthesized with R-3m hexagonal structure. The i-MAB phases with R = Tb to Tm are considered to have a nonlinear ferromagnetic-like coupling magnetic ground state with gradually weakened magnetocrystalline anisotropy due to variant R-R distances and 4f electrons. Their 2D derivatives (2D-MBene) with rare-earth (R) atom vacancies are obtained by chemical etching.

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Background: Synaptic degeneration occurs in the early stage of Alzheimer's disease (AD) before devastating symptoms, strongly correlated with cognitive decline. Circular RNAs (circRNAs) are abundantly enriched in neural tissues, and aberrant expression of circRNAs precedes AD symptoms, significantly correlated with clinical dementia severity. However, the direct relationship between circRNA dysregulation and synaptic impairment in the early stage of AD remains poorly understood.

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Photodynamic therapy (PDT) has promising applications. However, the lethal function of reactive oxygen species (ROS) produced during PDT is typically limited. This restriction is induced by oxygen shortage in the tumor microenvironment due to tumor cell hypermetabolism and reductive chemicals overexpression in tumor tissues.

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Background: Lymph node (LN) metastasis is the most common metastasis route in gastric cancer. Extensive dissection of LNs can significantly improve the prognosis of patients with gastric cancer. Recently, multiple clinical studies have demonstrated that either indocyanine green (ICG) or carbon nanoparticles (CNs) can assist to promote the dissection of LNs during laparoscopic radical gastrectomy.

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Synopsis of recent research by authors named "Yanjun Lu"

  • - Yanjun Lu's recent research focuses on developing innovative diagnostic and therapeutic strategies in cancer management, including the creation of a label-free fluorescent aptasensor for carcinoembryonic antigen detection and the investigation of magnesium lithospermate B as an inhibitor of colorectal cancer cell progression.
  • - Lu’s studies also explore the genetic characteristics of antibiotic-resistant bacteria and the application of machine learning algorithms to predict colorectal polyps, highlighting the interdisciplinary nature of his work in addressing both cancer and infectious diseases.
  • - The author emphasizes the integration of advanced methodologies such as single-cell RNA sequencing, mitochondrial metabolism analysis, and novel photo-STING agonists to enhance immunotherapy, demonstrating a commitment to improving patient outcomes through precision medicine and novel therapeutic approaches.

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