Publications by authors named "Kun Cao"

Computational methods for predicting drug-target binding affinity (DTA) are critical for large-scale screening of prospective therapeutic compounds during drug discovery. Deep neural networks (DNNs) have recently shown significant promise for DTA prediction. By leveraging available data for training, DNNs can expand the use of DTA prediction to situations where only sequence information is available for potential drug molecules and their targets, and there is no prior knowledge regarding the molecular geometric conformations.

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Mitophagy, essential for mitochondrial homeostasis, may affect hepatocellular carcinoma (HCC) progression and drug sensitivity, though its precise role remains unclear. Kindlin-1 is an adhesion protein which can regulate the function of integrins, resulting in an aggressive phenotype in certain solid malignant tumors.This study explored the clinical significance and cellular functions of Kindlin-1 in HCC.

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Fatty acid-binding proteins (FABPs) are intracellular lipid chaperones with molecular weights of approximately 14-15 kDa. By binding and transporting fatty acids and lipid-related molecules, FABPs precisely regulate metabolic pathways, signal transduction, and gene expression, playing a central role in cancer initiation and progression. The 11 identified subtypes (FABP1-FABP12; FABP11 is identical to FABP3) exhibit tissue-specific expression and influence tumor progression through metabolic reprogramming, immune microenvironment modulation, and therapy resistance.

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Bacterial Extracellular Vesicles (BEVs) are key mediators of cross-talk between gut microorganisms and host organs, playing an especially important role in the gut-liver axis. In this paper, we systematically review the mechanisms of BEV production, their classification, and their regulatory networks in liver diseases. BEVs carry pathogenic factors such as lipopolysaccharide (LPS) and bacterial DNA, which can enter the circulatory system by disrupting the intestinal barrier and target the liver to induce metabolic abnormalities, including insulin resistance.

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Background: A proportion of breast patients achieve axillary pathological complete response (pCR) following NAC. However, few studies have investigated the potential of quantitative parameters derived from dual-energy CT (DECT) for predicting axillary lymph node (ALN) downstaging after NAC.

Methods: This study included a prospective training and retrospective validation cohort from December 2019 to June 2022.

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Background: The PCDH17 family has emerged as a prominent research focus in the field of oncology; however, the precise mechanism underlying the regulatory role of PCDH17 in shaping the inflammatory tumor microenvironment in pancreatic cancer remains elusive.

Method: A thorough examination was carried out to explore the presence of PCDH17 in cancerous tumor tissues and its association with genes related to inflammation. Additionally, we comprehensively examined the association between PCDH17 and immune cell infiltration as well as immunotherapy in pancreatic cancer.

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Background: To investigate cross-sectional associations between meniscal lesion parameters and knee joint structures and symptoms in patients with symptomatic knee osteoarthritis (KOA).

Methods: A total of 102 subjects with symptomatic KOA were included in this study. Coronal magnetic resonance imaging was used to measure the meniscal parameters including the mean distance from medial to lateral meniscal lesions (Mean(MLD)), the mean value of tibial plateau width (Mean(TPW)) and the mean of the relative percentage of the medial to lateral meniscal lesions distance (Mean(RMLD)).

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Exploring new polymerization strategies for currently available monomers is a challenge in polymer science. Herein, a bifunctional initiator (BFI) is introduced for the conventional radical polymerization of a vinyl monomer, resulting in linear radical additions-coupling polymerization (LRAsCP). In LRAsCP, the coupling reaction alongside the addition reaction of the radicals contributes to the construction of polymer chains, which leads to stepwise growth of the multiblock structure.

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To guide public active participation in environmental governance and curb corporate greenwashing, this paper utilizes microdata from A-share listed companies spanning from 2011 to 2021 to explore the impact of public environmental concern on corporate greenwashing behavior. The study found that public environmental concerns significantly inhibit corporate greenwashing, but the inhibiting effect shows a diminishing marginal return. Furthermore, public environmental concerns show a stronger inhibiting effect in enterprises with fewer financing constraints, lower pollution levels, and no political connections.

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Poly (ADP-ribose) polymerase-1 (PARP-1) is a key enzyme in the base excision repair pathway, crucial for maintaining genomic stability by repairing DNA breaks. In cancers with mutations in DNA repair genes, such as BRCA1 and BRCA2, PARP-1 activity becomes essential for tumor cell survival, making it a promising target for therapeutic intervention. This study employs QSAR modeling, virtual screening, and molecular dynamics (MD) simulations to identify potential PARP-1 inhibitors.

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Neoadjuvant radiotherapy is the standard treatment for locally advanced rectal cancer, but resistance to this therapy remains a significant clinical challenge. Understanding the molecular mechanisms of radioresistance and developing strategies to enhance radiosensitivity are crucial for improving treatment outcomes. This study investigated the role of PRKCSH in colorectal cancer radioresistance and its underlying mechanisms.

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N6-Methyladenosine (m6A), a prevalent and dynamically regulated chemical modification, has recently emerged as a crucial post-transcriptional regulator of gene expression, and affected diverse eukaryotic biological processes. However, the role of m6A modification in aging research was still rarely reported. Herein, we uncovered that both the m6A modification level and the expression level of the methyltransferase METTL3 were significantly elevated during the aging process, as observed in the physiological aging mouse model in vivo, and the cellular senescence model in vitro.

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With the rapid development of the "Internet + Medical" model, artificial intelligence technology has been widely used in the analysis of medical images. Among them, the technology of using deep learning algorithms to identify features of ultrasound and pathological images and realize intelligent diagnosis of diseases has entered the clinical verification stage. This study is based on the application research of artificial intelligence technology in medical diagnosis and reviews the early screening and diagnosis of thyroid diseases.

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Osteosarcoma (OS) is the most frequent primary solid malignancy of bone, whose course is usually dismal without efficient treatments. The aim of the study was to discover novel risk models to more accurately predict and improve the prognosis of patients with osteosarcoma. The single-cell RNA sequencing (scRNA-seq) data was obtained from the GEO database.

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This paper presents a synthesis method for a novel octahedral Cu@CuO nanocluster (NAs), which is prepared by calcining Cu-BTC (metal-organic framework, 1,3,5-benzenetricarboxylate) in air, resulting in a porous carbon structure. The obtained Cu@CuO nanoclusters exhibit heterogeneous interfaces between Cu and CuO, significantly enhancing their Fenton-like catalysis and photothermal properties. Using SEM, TEM, XPS, and XRD techniques, the Cu@CuO NAs were comprehensively characterized.

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Background: We established and validated an innovative two-phase pipeline for automated detection and segmentation on multi-parametric cervical cancer magnetic resonance imaging (MRI) and investigated the clinical efficacy.

Methods: The retrospective multicenter study included 125 cervical cancer patients enrolled in two hospitals for 14,547 two-dimensional images. All the patients underwent pelvic MRI examinations consisting of diffusion-weighted imaging (DWI), T2-weighted imaging (T2WI), and contrast-enhanced T1-weighted imaging (CE-T1WI).

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Purpose: To develop and validate a predictive model for predicting six-month outcome by integrating pretreatment MRI features and one-month treatment response after TACE.

Methods: A total of 108 patients with 160 hCCs from a single-arm, multicenter clinical trial (NCT03113955) were analyzed and served as the training cohort. An external multicenter dataset (ChiCTR2100046020) consisting of 63 patients with 99 hCCs served as the test dataset.

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Formamidinium lead triiodide (FAPbI) has received significant attention in the field of perovskite solar cells (PSCs) owing to its excellent optoelectronic properties and high thermal stability. However, the photoactive α-FAPbI perovskites are highly susceptible to degradation into non-perovskite δ-FAPbI phases, especially under humid conditions, which severely diminishes the device performance of FAPbI PSCs. Here, we propose an interfacial seeding strategy for regulating crystallization and stabilizing α-FAPbI perovskites in humid air.

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Halide perovskite optoelectronic devices achieve high energy conversion efficiencies. However, their efficiency decreases significantly with an increase in temperature. This decline is likely caused by changes in nonradiative recombination and electron-phonon coupling, which remain underexplored.

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Despite the many advantages for industrial mass production, vacuum-deposited organic solar cells (OSCs) suffer from low efficiency, primarily due to the limited molecular library of small-molecule donor and acceptor materials, which remains a significant challenge. Herein, two donor-acceptor-acceptor (D-A-A)-configured small-molecule donors, named TTBTDC and TTBTDC-F were synthesized, using 8H-thieno[2',3':4,5]thieno[3,2-b]thieno[2,3-d]pyrrole (TTP) as a new fused-ring donor unit. Benefiting from the strong electron-donating ability of the TTP moiety and the adoption of the D-A-A molecular configuration, these molecules exhibited strong visible and near-infrared absorption as well as deep-lying highest occupied molecular orbital (HOMO) energy levels.

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Achieving high-performance lead sulfide quantum dot (PbS QD)-based photodetectors requires enhanced carrier transfer, which inevitably leads to an increased dark current. Balancing a high photocurrent and low dark current is crucial. In this work, a bridge-trap structure constructed by the atomic layer deposition of dual oxides is proposed to simultaneously enhance photoresponse performance and reduce dark current.

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In the present work, we examined the effects of exogenous abscisic acid (ABA) under ultraviolet B (UV-B) exposure on gibberellin (GA) production, signaling, and antioxidant-related genes in Pall (). Using transcriptomics, acetylated proteomics, and widely targeted metabolomics, the effects of UV-B stress on and the regulatory effects of exogenous ABA on it were revealed from multiple perspectives. The findings revealed that 's antioxidant enzyme genes were differentially expressed by UV-B radiation and were substantially enriched in the glutathione metabolic pathway.

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Restricted and repetitive behavior (RRB) is a primary symptom of autism spectrum disorder (ASD), which poses a significant risk to individuals' health and is becoming increasingly prevalent. However, the specific cellular and neural circuit mechanisms underlying the generation of RRB remain unclear. In this study, it is reported that the absence of the ASD-related protein Neuroligin 1 (NLGN1) in dopamine receptor D2-expressing medium spiny neurons (D2-MSNs) in the dorsal striatum is associated with the duration and frequency of self-grooming and digging behaviors.

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Multi-omics studies have shown that strigolactone modulates phenolic acid accumulation in the leaves of R. chrysanthum and can enable it to cope with UV-B stress. UV-B stress is an abiotic stress that plants will inevitably suffer during growth and can seriously affect the normal physiological state of plants.

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Article Synopsis
  • The study addresses the limitations of Fe-C composite catalysts in advanced oxidation water treatment, highlighting issues like inaccessible active sites and metal leaching.
  • A new method was developed to create PAC-supported FeO particles (PAC@MOFs-2T) that improves catalyst performance by increasing active site accessibility and preventing metal leaching.
  • The optimized PAC@MOFs-2T demonstrates effective electron transfer processes for degrading sulfadiazine, resulting in non-toxic byproducts and improved stability across various pH levels.
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Synopsis of recent research by authors named "Kun Cao"

  • - Kun Cao's recent research spans various fields, including materials science, neuroscience, oncology, and plant biology, showcasing his interdisciplinary approach to addressing complex scientific challenges.
  • - Notable findings include the development of advanced materials for reliable piezoresistive sensors, insights into the role of astrocytic neuroligins in social memory, and innovative methods for predicting breast cancer treatment responses, emphasizing the integration of technology and biology.
  • - His work also highlights significant advancements in understanding cellular responses to environmental stressors, like UV-B radiation in plants, and exploring novel therapeutic approaches through artificial intelligence in medical diagnostics, indicating a strong focus on both fundamental and applied research.