Publications by authors named "LiHua Ding"

The identification of DNA methylation at specific sites is crucial for the early detection of cancer since DNA methylation is intimately associated to the occurrence and development of cancer. Herein, two types of sensors that can detect site-specific DNA methylation were developed to meet practical requirements using methylation sensitive restriction endonuclease and CRISPR/Cas12a. To accomplish rapid detection of target, an AciI-mediated CRISPR/Cas12a assay was developed by coupling AciI to recognize DNA methylation with Cas12a to identify site-specific DNA.

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Hepatocellular carcinoma (HCC) is characterized by a lack of obvious clinical features in the early stages and is likely to progress to advanced HCC. Advanced HCC is a highly malignant tumor. However, there are few treatment options for advanced HCC.

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Abnormal expression in long noncoding RNAs (lncRNAs) is closely associated with cancers. Herein, a novel CRISPR/Cas13a-enhanced photocurrent-polarity-switching photoelectrochemical (PEC) biosensor was engineered for the joint detection of dual lncRNAs, using deep learning (DL) to assist in cancer diagnosis. After target lncRNA-activated CRISPR/Cas13a cleaves to induce DNAzyme bidirectional walkers with the help of cofactor Mg, nitrogen-doped carbon-Cu/CuO octahedra are introduced into the biosensor, producing a photocurrent in the opposite direction of CdS quantum dots (QDs).

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The CRISPR/Cas12a system is increasingly used in biosensor development. However, high background signal and low sensitivity for the non-nucleic acid targets detection is challenging. Here, a padlock activator which could inhibit the trans-cleavage activity of CRISPR/Cas12a system in the intact form by steric hindrance effect (PAIT effect) was designed for non-nucleic acid targets detection.

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The development of automated tools using advanced technologies like deep learning holds great promise for improving the accuracy of lung nodule classification in computed tomography (CT) imaging, ultimately reducing lung cancer mortality rates. However, lung nodules can be difficult to detect and classify, from CT images since different imaging modalities may provide varying levels of detail and clarity. Besides, the existing convolutional neural network may struggle to detect nodules that are small or located in difficult-to-detect regions of the lung.

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The precise determination of DNA methylation at specific sites is critical for the timely detection of cancer, as DNA methylation is closely associated with the initiation and progression of cancer. Herein, a novel ratiometric fluorescence method based on the methylation-sensitive restriction enzyme (MSRE), CRISPR/Cas12a, and catalytic hairpin assembly (CHA) amplification were developed to detect site-specific methylation with high sensitivity and specificity. In detail, AciI, one of the commonly used MSREs, was employed to distinguish the methylated target from nonmethylated targets.

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Exosomes are closely associated with tumor development and are regarded as viable biomarkers for cancer. Here, a ratiometric fluorescence method was proposed for the one-step and label-free detection of plasma exosomes. A bicolor streptavidin magnetic beads were specifically created with an immobilized Cy5-labeled hairpin aptamer for CD63 (Cy5-Apt) on its surface to identify exosome, and a green color SYBR Green I (SGI) embedded in the stem of Cy5-Apt to respond to exosomes.

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Nanozymes have attracted widespread attention, and rationally designing high-activity nanozymes to improve their application performance are a long-term objective. Herein, taking metal-organic frameworks-derived CoO polyhedron with large surface area and high porosity as nanoconfinement carriers, CoO@MnO@CDs polyhedron was successfully synthesized by the room-temperature reduction of MnO ions and physical load of carbon dots (CDs). Through cancer cells-triggered double antibody sandwich strategy, the CoO@MnO@CDs polyhedron were introduced to the TiO nanoparticle (NPs) modified electrode, leading to the decreased photocurrent.

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Herein, a novel silver ion-loaded gold microemulsion assemblies (Au/Ag MAs) mediated multifunctional signal amplification strategy was proposed to construct a sensitive immobilization-free photoelectrochemical (PEC)/colorimetric biosensor for carcinoembryonic antigen (CEA) detection. Through the sandwiched reaction among CEA, the CEA aptamer (DNA1) loaded on the Au nanoparticles (NPs) functionalized iron oxide (FeO) nanospheres and another CEA aptamer (DNA2) immobilized on Au/Ag MAs, a complex is formed and acquired by magnetic separation. Then, Au/Ag MAs of the complex are disassembled into Au NPs and Ag ions driven by an acetone response, and the obtained demulsification solution is transferred to the cadmium sulfide/cadmium telluride (CdS/CdTe) photoactive composites modified electrode.

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Computed tomography (CT) scans have been shown to be an effective way of improving diagnostic efficacy and reducing lung cancer mortality. However, distinguishing benign from malignant nodules in CT imaging remains challenging. This study aims to develop a multiple-scale residual network (MResNet) to automatically and precisely extract the general feature of lung nodules, and classify lung nodules based on deep learning.

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Article Synopsis
  • - A new photocurrent-direction-switching biosensing platform is developed for the sensitive detection of soluble CD146 (sCD146) using carbon nitride quantum dots and titanium dioxide nanodiscs combined with a DNA amplification technique.
  • - The platform utilizes metal-organic framework-derived porous TiO nanodiscs to generate strong anodic photocurrent, which is regulated by the binding and release of single-stranded DNA (ssDNA) in response to target sCD146 presence.
  • - This method achieves detection levels as low as 2.1 fg/mL and shows potential for cancer biomarker applications, showcasing the effectiveness of eco-friendly photoelectrochemical approaches.
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Article Synopsis
  • The EGFR-RAS-ERK pathway is crucial for cancer development, but how its components interact is not fully understood.
  • HPIP, a protein that interacts with key players in this pathway, is necessary for the formation of signaling complexes and activation of the pathway.
  • HPIP levels are linked to poorer outcomes in lung cancer patients, suggesting it could be a potential target for cancer therapies related to EGFR-RAS-ERK signaling.
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Background: The relationship among gut microbiota, sarcopenia components, and influencing factors in female sarcopenic patients has been poorly investigated.

Methods: Female participants completed questionnaires of physical activity and dietary frequency and were assessed for the presence of sarcopenia by the Asian Working Group of Sarcopenia 2019 (AWGS 2019) criteria. Fecal samples were collected from 17 sarcopenia and 30 non-sarcopenia subjects for 16S sequencing and short chain fatty acid (SCFA) detection.

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Klebsiella pneumoniae (KP) and Acinetobacter baumannii (AB) are two important gram-negative bacteria that cause pneumonia and have been recently known to be associated with food. The rapid detection of these pathogens in food is important to minimize their colonization of the gut and stop new threats of the disease from spreading across the food chain. Herein, a double-edged sword aptasensor was developed for the synchronous detection of KP and AB in food and clinical samples.

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Epithelial-mesenchymal transition (EMT) is associated with the invasive and metastatic phenotypes in colorectal cancer (CRC). However, the mechanisms underlying EMT in CRC are not completely understood. In this study, we find that HUNK inhibits EMT and metastasis of CRC cells via its substrate GEF-H1 in a kinase-dependent manner.

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Ochratoxin A (OTA) is a common mycotoxin, and it is a significant threat to human health throughout the food chain. In this study, a sensitive and specific fluorescent sensor based on magnetic separation technology combined with chain displacement amplification was developed for fast and easy detection of OTA in food. The designed strand displacement amplification can improve the sensitivity for the detection, and the magnetic nanomaterials can provide a large surface area, thus enhancing the capture efficiency of the target from the sample.

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Benefiting from superior programmable performance and flexible design of DNA technologies, a variety of single-molecule RNA fluorescence imaging methodologies have been reported. However, the multiplexing capability is restricted owing to the spectral overlap of fluorophores. To overcome this limitation, some inspiring multiplex imaging strategies have been developed, but in practice, it remains challenging to achieve convenient and rapid imaging in live cells due to complex designs and additional pretreatments to increase cell permeability.

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Purpose: Reprogrammed lipid metabolism is a hallmark of cancer that provides energy, materials, and signaling molecules for rapid cancer cell growth. Cancer cells acquire fatty acids primarily through de novo synthesis and uptake. Targeting altered lipid metabolic pathways is a promising anticancer strategy.

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Exosomes are seen as promising biomarkers for minimally invasive liquid biopsies and disease surveillance. However, the complexity of body fluids, inherent heterogeneity, and tiny size of exosomes impede their extraction, consequently restricting their clinical application. In this study, in order to efficiently isolate exosomes from clinical samples, an irregular serpentine channel microfluidic chip (ExoSIC) was designed to continuously separate exosomes from plasma based on a magnetic-nanowaxberry (MNWB).

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Liquid biopsy can reflect the state of tumors in vivo non-invasively, thus providing a strong basis for the early diagnosis, individualized treatment monitoring and prognosis of tumors. Circulating tumor cells (CTCs) and tumor-derived extracellular vesicles (tdEVs) contain information-rich components, such as nucleic acids and proteins, and they are essential markers for liquid biopsies. Their capture and analysis are of great importance for the study of disease occurrence and development and, consequently, have been the subject of many reviews.

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Background: Computed tomography (CT) is an effective way to scan for lung cancer. The classification of lung nodules in CT screening is completely doctor dependent, which has drawbacks, including difficulty classifying tiny nodules, subjectivity, and high false-positive rates. In recent years, deep convolutional neural networks, a deep learning technology, have been shown to be effective in medical imaging diagnosis.

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Exosomal proteins are considered to be promising indicators of cancer. Herein, a novel DNAzyme walkers-triggered CRISPR-Cas12a/Cas13a strategy was proposed for the synchronous determination of exosomal proteins: serum amyloid A-1 protein (SAA1) and coagulation factor V (FV). In this design, the paired antibodies were used to recognize targets, thereby ensuring the specificity.

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