Publications by authors named "JianHui Ma"

Background: Phagocytic clearance by macrophages represents a critical immune surveillance mechanism in cancer liver metastasis. Neutrophils, the most abundant immune cells encountered by cancer cells in circulation, play key roles in metastasis through neutrophil extracellular traps (NETs). Although NETs promote macrophage phagocytosis during infection, whether they regulate phagocytosis during cancer metastasis is unknown.

View Article and Find Full Text PDF

Miao medicine Tiekuaizi () has been successfully used by Guizhou Miao ethnic physicians in clinical treatments, demonstrating significant curative effects. The research progress on the resource distribution, traditional uses, phytochemistry, and pharmacology of Tiekuaizi was reviewed by collecting related literature from traditional Chinese medicine books and various databases. Based on the comprehensive review and centered around the principles of traditional Chinese medicine quality marker (Q-Marker) theory, nine secondary metabolites (scopoletin, scopolin, isofraxidin, fraxin, scoparone, calycanthoside, 6, 7, 8-trimethoxycoumarin, tomenin, and calycanthine) are suggested as potential Q-markers for Tiekuaizi to establish quality control standards.

View Article and Find Full Text PDF

Resistance to KRASG12C inhibitors is a growing clinical concern. The synergistic interaction observed between azenosertib and multiple KRASG12C inhibitors could result in deeper and more durable responses.

View Article and Find Full Text PDF

Upregulation of Cyclin E1 and subsequent activation of CDK2 accelerates cell cycle progression from G1 to S phase and is a common oncogenic driver in gynecological malignancies. WEE1 kinase counteracts the effects of Cyclin E1/CDK2 activation by regulating multiple cell cycle checkpoints. Here we characterized the relationship between Cyclin E1/CDK2 activation and sensitivity to the selective WEE1 inhibitor azenosertib.

View Article and Find Full Text PDF

Cadmium (Cd) is a widely distributed heavy metal that poses significant hazards to both crop productivity and human health. MicroRNAs (miRNAs) play pivotal roles in plant growth, development and responses to environmental stresses, yet little is known about their roles in regulating Cd tolerance in wheat. In this study, we identified tae-miR9670, a Triticeae-specific miRNA, as responsive to Cd exposure in wheat through miRNAome analysis.

View Article and Find Full Text PDF
Article Synopsis
  • Research focused on patients with metastatic clear-cell renal cell carcinoma (mccRCC) receiving immunotherapy and tyrosine kinase inhibitor (TKI) treatments to evaluate the role of serum immunoglobulin G (IgG) as a potential biomarker.
  • Findings indicated that while baseline serum IgG levels did not significantly correlate with treatment response, an increase in serum IgG after 3 months of therapy was linked to a worse prognosis, including poorer progression-free survival (PFS) and overall survival (OS).
  • The study concluded that elevated serum IgG levels after treatment serve as an independent risk factor for reduced patient outcomes, suggesting that monitoring IgG changes could help in evaluating treatment efficacy in mccRCC patients.
View Article and Find Full Text PDF

Background: Neddylation (NAE) inhibition, affecting posttranslational protein function and turnover, is a promising therapeutic approach to cancer. We report the cytotoxic vulnerability to NAE inhibitors in a subset of glioblastoma (GBM) preclinical models and identify genetic alterations and biological processes underlying differential response.

Methods: GBM DNA sequencing and transcriptomic data were queried for genes associated with response to NAE inhibition; candidates were validated by molecular techniques.

View Article and Find Full Text PDF

Background: The Monte Carlo (MC) method is an accurate technique for particle transport calculation due to the precise modeling of physical interactions. Nevertheless, the MC method still suffers from the problem of expensive computational cost, even with graphics processing unit (GPU) acceleration. Our previous works have investigated the acceleration strategies of photon transport simulation for single-energy CT.

View Article and Find Full Text PDF
Article Synopsis
  • Neonatal mice exposed to sevoflurane (a type of anesthetic) show brain inflammation and problems with learning and memory.
  • A substance called 3-MA helped reduce this inflammation and improve the mice's brain function by stopping certain chemical responses triggered by sevoflurane.
  • The study also discovered that sevoflurane affects specific proteins in the brain, leading to changes that could help researchers find new ways to protect young patients from memory issues after surgery.
View Article and Find Full Text PDF

Reevesia is an eastern Asian-eastern North American disjunction genus in the family Malvaceae s.l. and comprises approximately 25 species.

View Article and Find Full Text PDF
Article Synopsis
  • Current quality assurance methods for radiation therapy treatment plans are inadequate, failing to effectively identify reasons for verification failures due to poor sensitivity in dose distributions.
  • This research implements deep learning algorithms to analyze 3D dose distribution maps and develop a predictive model for classifying errors across various treatment scenarios.
  • The resulting CNN model demonstrates high accuracy and outperforms traditional gamma pass rate methods, proving to be a more efficient tool for enhancing the quality assurance process in radiation therapy.
View Article and Find Full Text PDF

This report highlights necessity of correctly and quickly identifying Littmann sign. Littmann sign is not common in clinical practice, which is easily overlooked by most physicians, leading to delays in the treatment of hyperkalemia. A 68 year old patient with hyperkalemia was found to have inconsistent heart rate displayed on electrocardiogram monitoring with cardiac auscultation and synchronous electrocardiogram in the early stages of onset.

View Article and Find Full Text PDF
Article Synopsis
  • Breast cancer is the most common type of cancer, and intraoperative frozen sections help determine if lymph node dissection is needed during surgery.
  • A deep-learning network called the RRCART model was proposed to identify metastases in frozen sections, analyzing 2362 samples to find and categorize errors.
  • The study found 101 incorrect identifications, with the highest error rates linked to normal lymph node structure and micrometastasis, leading to a framework that addresses causes of inaccuracies in the artificial intelligence model.
View Article and Find Full Text PDF
Article Synopsis
  • Metal artifacts from metallic implants significantly reduce the quality of CT images, impacting clinical diagnoses and the accuracy of radiotherapy.
  • The authors introduce a novel approach called PND-Net, which includes a non-local sinogram decomposition network (NSD-Net) and an image restoration network (IR-Net) to effectively address metal artifacts beyond just beam hardening.
  • Their method uses a trainable fusion network (F-Net) for better learning on clinical images and incorporates an internal consistency loss and linear interpolation sinogram for improved accuracy, showing superior performance compared to existing metal artifact reduction techniques.
View Article and Find Full Text PDF

In silico interrogation of glioblastoma (GBM) in The Cancer Genome Atlas (TCGA) revealed upregulation of GNA12 (Gα12), encoding the alpha subunit of the heterotrimeric G-protein G12, concomitant with overexpression of multiple G-protein coupled receptors (GPCRs) that signal through Gα12. Glioma stem cell lines from patient-derived xenografts also showed elevated levels of Gα12. Knockdown (KD) of Gα12 was carried out in two different human GBM stem cell (GSC) lines.

View Article and Find Full Text PDF
Article Synopsis
  • The study examines the role of neutrophil extracellular traps (NETs) as potential biomarkers for predicting the efficacy of systemic therapies in metastatic clear cell renal cell carcinoma (ccRCC).
  • NET levels were significantly higher in tumor tissues compared to para-tumor tissues, with correlations found between NET levels and progression-free survival in specific patient groups.
  • Elevated NET levels were associated with poorer overall survival across both targeted therapy (TKI) and immune checkpoint inhibitor (IO-TKI) treatments, highlighting their potential as prognostic indicators in ccRCC treatment outcomes.
View Article and Find Full Text PDF

Cellular plasticity and immune escape are synergistic drivers of tumor colonization in metastatic organs. Activation of protease-activated receptor 2 (PAR2) signaling promotes metastasis of colorectal carcinoma (CRC). The role of PAR2 in regulating the immune microenvironment and cancer progression remains unclear.

View Article and Find Full Text PDF

Wheat (Triticum aestivum L.) is an important food crop mainly grown in arid and semiarid regions worldwide, whose productivity is severely limited by drought stress. Although various E3 ubiquitin (Ub) ligases regulate drought stress, only a few SINA-type E3 Ub ligases are known to participate in such responses.

View Article and Find Full Text PDF
Article Synopsis
  • Scattering photons can negatively impact the quality of cone-beam CT (CBCT) images, leading to artifacts and inaccurate CT values, which hampers its use in medicine.
  • To address this issue, the authors propose an intelligent scatter correction framework that combines the scatter kernel deconvolution (SKD) method with deep reinforcement learning (DRL) to enhance scatter estimation accuracy.
  • Simulation results show that the new method outperforms traditional SKD in terms of mean absolute percentage error (MAPE) and peak signal-to-noise ratio (PSNR), indicating it could significantly improve CBCT image quality.
View Article and Find Full Text PDF
Article Synopsis
  • Drought is a significant challenge for wheat production, prompting research into drought tolerance genes to enhance crop resilience.
  • The study focused on a newly identified gene, TaTIP41, which plays a role in drought tolerance by interacting with components of a key signaling pathway (TOR) and responding to stress and abscisic acid (ABA).
  • Overexpressing TaTIP41 boosts drought resilience and ABA responses, while its suppression reduces tolerance, suggesting that manipulating these genes could improve wheat's adaptability to drought conditions.
View Article and Find Full Text PDF

This study provides important information on the genetic basis of GCaC in wheat, thus contributing to breeding efforts to improve the nutrient quality of wheat. Calcium (Ca) plays important roles in the human body. Wheat grain provides the main diet for billions of people worldwide but is low in Ca content.

View Article and Find Full Text PDF

Purpose: Flat-panel X-ray source is an experimental X-ray emitter with target application of static computer tomography (CT), which can save imaging space and time. However, the X-ray cone beams emitted by the densely arranged micro-ray sources are overlapped, causing serious structural overlapping and visual blur in the projection results. Traditional deoverlapping methods can hardly solve this problem well.

View Article and Find Full Text PDF

Introduction: Zinc (Zn) deficiency causes serious diseases in people who rely on cereals as their main food source. However, the grain zinc concentration (GZnC) in wheat is low. Biofortification is a sustainable strategy for reducing human Zn deficiency.

View Article and Find Full Text PDF
Article Synopsis
  • Four plant taxa endemic to China (S.megalocarpavar.megalocarpa, S.megalocarpavar.cuneata, and two others) share similar features like large brown fruits and distinct calyxes.
  • Previous literature varied in classification, sometimes seeing all four as distinct or interpreting some as synonyms.
  • This study reinstates one taxon for its unique traits and confirms another as a synonym, while proposing a new synonym for another taxa based on detailed morphological comparisons.
View Article and Find Full Text PDF
Article Synopsis
  • CBCT imaging is essential in medicine, but its effectiveness is hindered by severe scatter contamination, which traditional Monte Carlo (MC) methods struggle to correct due to high computational costs.
  • This study introduces a new MC simulation that uses a variance reduction technique called correlated sampling to enhance the speed and accuracy of scatter correction in CBCT images.
  • Results indicate that the proposed method significantly reduces scatter artifacts, improving the accuracy of the scatter estimation and enhancing the quality of corrected CBCT images while maintaining efficiency.
View Article and Find Full Text PDF