PRMT6 promotes colorectal cancer progress via activating MYC signaling.

Colorectal cancer (CRC) remains a major global health challenge, with high rates of incidence and mortality. This study investigates the role of protein arginine methyltransferase 6 (PRMT6) as an oncogene in CRC and its mechanistic involvement in tumor progression. We found that PRMT6 is significantly overexpressed in CRC tissues compared to adjacent normal tissues and is associated with poorer patient survival.

Advancements in the treatment of cerebral ischemia-reperfusion injury: Acupuncture combined with mesenchymal stem cells transplantation.

Cerebral ischemia-reperfusion injury (CIRI) constitutes a significant etiology of exacerbated cerebral tissue damage subsequent to intravenous thrombolysis and endovascular mechanical thrombectomy in patients diagnosed with acute ischemic stroke. The treatment of CIRI has been extensively investigated through a multitude of clinical studies. Acupuncture has been demonstrated to be effective in treating CIRI.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

Digital Interventions for Promoting Skin Self-Examination Behaviors of Melanoma Survivors: A Systematic Review.

Background: Regular and thorough skin self-examination (SSE) is an important strategy to reduce mortality among melanoma survivors. However, less than a quarter of melanoma survivors participate in skin self-examination.

Objective: The aim of this study was to systematically review the effectiveness of digital interventions on SSE-related practices in melanoma survivors.

BD-StableNet: a deep stable learning model with an automatic lesion area detection function for predicting malignancy in BI-RADS category 3-4A lesions.

The latest developments combining deep learning technology and medical image data have attracted wide attention and provide efficient noninvasive methods for the early diagnosis of breast cancer. The success of this task often depends on a large amount of data annotated by medical experts, which is time-consuming and may not always be feasible in the biomedical field. The lack of interpretability has greatly hindered the application of deep learning in the medical field.

Synergistic Effect of Ubiquitin-Specific Protease 14 and Poly(ADP-Ribose) Glycohydrolase Co-Inhibition in BRCA1-Mutant, Poly(ADP-Ribose) Polymerase Inhibitor-Resistant Triple-Negative Breast Cancer Cells.

Purpose: The clinical benefits of poly(ADP-ribose) polymerase (PARP) inhibitors are limited to triple-negative breast cancer (TNBC) with BRCA deficiency due to primary and acquired resistance. Thus, there is a pressing need to develop alternative treatment regimens to target BRCA-mutated TNBC tumors that are resistant to PARP inhibition. Similar to PARP, poly(ADP-ribose) glycohydrolase (PARG) plays a role in DNA replication and repair.

[Analysis of the relationship between epistaxis and homocysteine and climatic factors in ultra-high altitude area].

To analyze the related influencing factors of epistaxis in extremely high altitude area, and to provide evidence for the prevention and treatment of epistaxis in extremely high altitude area. From January 2021 to December 2022, 206 outpatients with epistaxis, 54 inpatients with epistaxis and 69 inpatients withoutepistaxis in theDepartment of Otorhinolarygology, Naqu People's Hospital were collected. The previous history, drinking history, smoking history, serum homocysteine（Hcy）, white blood cell count（WBC）, red blood cell count（RBC）, hematocrit（HCT）, hemoglobin（HGB） and mean hemoglobin concentration（MCHC） were compared between inpatients with or without epistaxis.

Single-cell profiling reveals altered immune landscape and impaired NK cell function in gastric cancer liver metastasis.

Gastric cancer (GC) is a substantial global health concern, and the development of liver metastasis (LM) in GC represents a critical stage linked to unfavorable patient prognoses. In this study, we employed single-cell RNA sequencing (scRNA-seq) to investigate the immune landscape of GC liver metastasis, revealing several immuno-suppressive components within the tumor immune microenvironment (TIM). Our findings unveiled an increased presence of cancer-associated fibroblasts (CAFs), myeloid-derived suppressor cell (MDSC)-like macrophages, tumor-associated macrophage (TAM)-like macrophages, and naive T cells, while conventional dendritic cells (cDCs) and effector CD8 T cells declined in LM.

Host selection by thrips is affected by the floral volatile profile of sunflower.

Thrips, Frankliniella intonsa, is a highly polyphagous pest with a worldwide distribution. F. intonsa-infested sunflower seeds show marked visual damage.

ZL006 mitigates anxiety-like behaviors induced by closed head injury through modulation of the neural circuit from the medial prefrontal cortex to amygdala.

Closed head injury is a prevalent form of traumatic brain injury with poorly understood effects on cortical neural circuits. Given the emotional and behavioral impairments linked to closed head injury, it is vital to uncover brain functional deficits and their driving mechanisms. In this study, we employed a robust viral tracing technique to identify the alteration of the neural pathway connecting the medial prefrontal cortex to the basolateral amygdala, and we observed the disruptions in neuronal projections between the medial prefrontal cortex and the basolateral amygdala following closed head injury.

Deep Learning Model for Predicting Proliferative Hepatocellular Carcinoma Using Dynamic Contrast-Enhanced MRI: Implications for Early Recurrence Prediction Following Radical Resection.

Rationale And Objectives: The proliferative nature of hepatocellular carcinoma (HCC) is closely related to early recurrence following radical resection. This study develops and validates a deep learning (DL) prediction model to distinguish between proliferative and non-proliferative HCCs using dynamic contrast-enhanced MRI (DCE-MRI), aiming to refine preoperative assessments and optimize treatment strategies by assessing early recurrence risk.

Materials And Methods: In this retrospective study, 355 HCC patients from two Chinese medical centers (April 2018-February 2023) who underwent radical resection were included.

Influence on the fermentation quality, microbial diversity, and metabolomics in the ensiling of sunflower stalks and alfalfa.

With the rapid development of the livestock industry, finding new sources of feed has become a critical issue that needs to be addressed urgently. China is one of the top five sunflower producers in the world and generates a massive amount of sunflower stalks annually, yet this resource has not been effectively utilized. Therefore, in order to tap into the potential of sunflower stalks for animal feed, it is essential to explore and develop efficient methods for their utilization.

The high-expression programming of SR-B1 mediates adrenal dysfunction in female offspring induced by prenatal caffeine exposure and its cholesterol accumulation mechanism.

The cholesterol metabolism and homeostasis of adrenal are important for steroidogenesis. Our previous studies found that prenatal caffeine exposure (PCE) can inhibit adrenal steroidogenesis in offspring, but whether the mechanism is related to local imbalance of cholesterol metabolism remains unknown. Here, we found that PCE inhibited adrenal steroidogenesis and increased the expression of cell pyroptosis and inflammatory-related indicators (NLRP3, caspase-1 and IL-1β) in female adult offspring rats, and at the same time, the cholesterol levels in serum and adrenal gland also significantly increased.

Culture expansion of primary human nasal epithelial cells (NEC) isolated with a nasal scraping spoon.

Objective: To obtain high-purity nasal epithelial cells (NEC) while avoiding the irritation experienced by patients during nasal biopsies.

Methods: This prospective, observational study enrolled patients undergoing surgical treatment for nasal septum deviation. After general anaesthesia, a novel nasal scraping spoon was used to collect epithelial cells from the mid-part of the inferior turbinate.

PB-LNet: a model for predicting pathological subtypes of pulmonary nodules on CT images.

Objective: To investigate the correlation between CT imaging features and pathological subtypes of pulmonary nodules and construct a prediction model using deep learning.

Methods: We collected information of patients with pulmonary nodules treated by surgery and the reference standard for diagnosis was post-operative pathology. After using elastic distortion for data augmentation, the CT images were divided into a training set, a validation set and a test set in a ratio of 6:2:2.

A High-Accuracy Star Centroid Extraction Method Based on Kalman Filter for Multi-Exposure Imaging Star Sensors.

A multi-exposure imaging approach proposed in earlier studies is used to increase star sensors' attitude update rate by times. Unfortunately, serious noises are also introduced in the star image due to multiple exposures. Therefore, a star centroid extraction method based on Kalman Filter is proposed in this paper.

Immunosensor with Enhanced Electrochemiluminescence Signal Using Platinum Nanoparticles Confined within Nanochannels for Highly Sensitive Detection of Carcinoembryonic Antigen.

Rapid, highly sensitive, and accurate detection of tumor biomarkers in serum is of great significance in cancer screening, early diagnosis, and postoperative monitoring. In this study, an electrochemiluminescence (ECL) immunosensing platform was constructed by enhancing the ECL signal through in situ growth of platinum nanoparticles (PtNPs) in a nanochannel array, which can achieve highly sensitive detection of the tumor marker carcinoembryonic antigen (CEA). An inexpensive and readily available indium tin oxide (ITO) glass electrode was used as the supporting electrode, and a layer of amino-functionalized vertically ordered mesoporous silica film (NH-VMSF) was grown on its surface using an electrochemically assisted self-assembly method (EASA).

Mining multi-center heterogeneous medical data with distributed synthetic learning.

Overcoming barriers on the use of multi-center data for medical analytics is challenging due to privacy protection and data heterogeneity in the healthcare system. In this study, we propose the Distributed Synthetic Learning (DSL) architecture to learn across multiple medical centers and ensure the protection of sensitive personal information. DSL enables the building of a homogeneous dataset with entirely synthetic medical images via a form of GAN-based synthetic learning.

Prognostic Factors and Survival Outcomes Among Patients With Mycosis Fungoides in China: A 12-Year Review.

Importance: There are limited prognostic statistics and data available on survival outcomes for patients with mycosis fungoides (MF) in Asia.

Objective: To determine the prognostic factors and survival outcomes of patients with MF among a cohort in China.

Design, Setting, And Participants: This was a retrospective cohort study of patients with MF who received treatment at a tertiary referral center for skin lymphoma (Peking University First Hospital, Beijing, China) from August 1, 2009, to August 31, 2021.

Differentiation Between the Low and High Trans-Stenotic Pressure Gradient in Patients With Idiopathic Intracranial Hypertension Using 4D Flow MRI-Derived Hemodynamic Parameters.

Background: Trans-stenotic pressure gradient (TPG) measurement is essential for idiopathic intracranial hypertension (IIH) patients with transverse sinus (TS) stenosis. Four-D flow MRI may provide a noninvasive imaging method for differentiation of IIH patients with different TPG.

Purpose: To investigate the associations between 4D flow parameters and TPG, and to evaluate the diagnostic performance of 4D flow parameters in differentiating patients with high TPG (Group) from low TPG (Group).

Intravascular ultrasound characteristics of different types of stenosis in idiopathic intracranial hypertension with venous sinus stenosis.

Background: In this study, we analyzed the characteristics of different stenosis types in idiopathic intracranial hypertension (IIH) patients with venous sinus stenosis (VSS) using intravascular ultrasound (IVUS).

Methods: We retrospectively reviewed data from patients who underwent IVUS evaluation during venography or stenting procedures between January 2014 and February 2022.

Results: Among the 80 patients with intrinsic lesions, 47 cases were identified, including 41 single lesions and 6 multiple lesions.

Tirofiban combined with Aspirin in the Treatment of Acute Penetrating Artery Territory Infarction (STRATEGY): protocol for a multicentre, randomised controlled trial.

Background: Perforating artery territorial infarction (PAI) caused by branch atheromatous disease (BAD) is prone to recurrence and early progression without an effective and well-documented antiplatelet treatment regimen. Tirofiban, an adjunctive antiplatelet agent, has shown great potential to treat acute ischaemic stroke. However, whether the combination of tirofiban and aspirin can improve the prognosis of PAI remains unclear.