Chenodeoxycholic acid modulates cholestatic niche through FXR/Myc/P-selectin axis in liver endothelial cells.

Cholestatic liver diseases are characterized by excessive bile acid accumulation in the liver. Endothelial cells (ECs) shape the local microenvironment in both normal conditions and liver injury, yet their role in cholestasis is unclear. Through a comparative analysis of single-cell RNA sequencing data from various murine models of liver injury, we identify distinctive Myc activation within ECs during obstructive cholestasis resulting from bile duct ligation (BDL).

Associations between shift work and biological age acceleration: A population-based study.

Background: This study aimed to examine the associations between shift work and biological age acceleration (BAA) and to explore potential moderating factors that may influence the associations.

Methods: A population-based study was conducted using data from 195 419 participants in the UK Biobank (mean age: 52.71 years; 49.

Household Air Pollution, Physical Activity, and the Risk of Frailty Among Middle-Aged and Older Adults: A Cohort Study.

Objective: This study aims to explore the relationship among household air pollution, physical activity (PA), and the risk of frailty among middle-aged and older adults.

Design: Prospective cohort study.

Setting And Participants: A total of 10,561 participants from the 2011-2020 China Health and Retirement Longitudinal Study (CHARLS) were included.

IDR-driven TOLLIP condensates antagonize the innate antiviral immunity by promoting the deSUMOylation of MAVS.

Mitochondrial antiviral signaling protein (MAVS) is a central adaptor protein in retinoic acid-inducible gene I (RIG-I)-like receptor (RLR) signaling against RNA viral infection. Posttranslational modifications (PTMs) play a critical role in modulating the activity of MAVS. However, how phase separation regulates the PTMs to fine-tune MAVS activation remains to be elucidated.

Biomonitoring and food surveillance on heavy metals reveal need for food safety in a coastal region.

Vegetables and seafoods are major sources of nutrients for human being. However, heavy metals can easily accumulate in these food types. Here we compared residents' blood As, Cd, Pb, Mn, Cu and Hg in one coastal city (Rizhao) and two inland cities (Zaozhuang and Jining) in Shandong province, China.

Virome specific to tick genus with distinct ecogeographical distribution.

Background: The emergence of tick-borne pathogens poses a serious threat to both human and animal health. There remains controversy about virome diversity in relation to tick genus and ecogeographical factors.

Results: We conducted the meta‑transcriptomic sequencing of 155 pools of ticks encompassing 7 species of 3 genera collected from diverse geographical fauna of Ningxia Province, China.

The discovery of novel N-heterocyclic-based AKT inhibitors with potential efficacy against prostate cancer.

AKT, a serine/threonine protein kinase that plays a pivotal role in the PI3K/AKT/mTOR pathway, is overexpressed or hyperactivated in various cancers, including prostate, breast, and lung cancers. A series of novel nitrogen-containing aromatic heterocyclic compounds were designed, synthesized, and evaluated for AKT inhibition and anticancer activities. Among these, JL16 and JL18 emerged as potent inhibitors of AKT1 kinase, with IC values of 7.

Association of pre-diabetes with the risks of adverse health outcomes and complex multimorbidity: evidence from population-based studies in the NIS and UK Biobank.

Introduction: This study aimed to examine the risk of common diseases among people with pre-diabetes and explored the relationship between pre-diabetes and multimorbidity (in this case, two or more comorbid diseases).

Methods: An observational multicohort study using data from the UK Biobank database and the National Inpatient Sample (NIS) database (2016-2018) was conducted. We analysed 461 535 participants and 17 548 442 patients aged 18 years or older from both databases, of whom 14.

Polyphenol Microneedles for Dermatological Therapy.

Dermatological diseases represent one of the most prevalent health concerns globally, with associated care and treatment costs having consistently increased over the past decade. Current therapeutic modalities, including topical medications, oral pharmaceuticals, and physical therapies, frequently face challenges such as inadequate drug absorption and substantial adverse effects. Microneedles, recognized as minimally invasive drug delivery systems, effectively penetrate the cutaneous barrier to enhance drug permeability and therapeutic efficacy.

Predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients based on ultrasound longitudinal temporal depth network fusion model.

Objective: The aim of this study was to develop and validate a deep learning radiomics (DLR) model based on longitudinal ultrasound data and clinical features to predict pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer patients.

Methods: Between January 2018 and June 2023, 312 patients with histologically confirmed breast cancer were enrolled and randomly assigned to a training cohort (n = 219) and a test cohort (n = 93) in a 7:3 ratio. Next, pre-NAC and post-treatment 2-cycle ultrasound images were collected, and radiomics and deep learning features were extracted from NAC pre-treatment (Pre), post-treatment 2 cycle (Post), and Delta (pre-NAC-NAC 2 cycle) images.

PSMD14-mediated deubiquitination of CARM1 facilitates the proliferation and metastasis of hepatocellular carcinoma by inducing the transcriptional activation of FERMT1.

Hepatocellular carcinoma (HCC) is a highly potent malignancy. The enzyme coactivator-associated arginine methyltransferase 1 (CARM1) is highly expressed in different types of cancer. However, the precise levels of expression, clinical significance, biological functions, and molecular mechanisms of CARM1 in HCC, particularly related to the downstream genes regulated by CARM1 through histone arginine methylation, remain unclear.

Implementation strategies of financial navigation and its effects on alleviating financial toxicity among cancer survivors: a systematic review.

Purpose: This systematic review aims to identify the implementation strategies of financial navigation and systematically synthesise its effects on mitigating financial toxicity among cancer survivors, based on the theoretical framework of implementation science.

Methods: Medline, Web of Science Core Collection, ScienceDirect and ProQuest Health & Medical Collection databases were searched for studies published before 22 August 2023. We sought original research on financial navigation interventions among adult cancer survivors with financial toxicity in healthcare settings.

Tumor Microenvironment-Responsive Nanodrug for Embolotherapy and Enhanced Chemotherapy.

Embolotherapy is an effective antitumor method, which essentially blocks the oxygen supply and induces hypoxia to treat tumors; however, traditional practices demand high expertise and harbor risks of complications. This study presents a mesoporous polydopamine-based (MPDA) drug delivery platform modified by engineered fusion proteins, which can specifically embolize tumor blood vessels and deliver the hypoxia-activated prodrug tirapazamine (TPZ). The fusion protein consists of an affibody targeting HER-2, a substrate for MMP-2, an RGD tripeptide, and a truncated tissue factor (tTF), which is then connected to MPDA loaded with TPZ.

Targeting WDPF domain of Hsp27 achieves a broad spectrum of antiviral.

Enterovirus A71 (EV-A71) is a positive-sense single-stranded RNA virus, which hijacks host proteins to benefit viral internal ribosome entry site (IRES)-dependent protein translation and further propagation. We demonstrated that serine 78 (S78) phosphorylation of Hsp27 is critical for Hsp27/hnRNP A1 relocalization upon EV-A71 infection. Here, we report that the deletion of WDPF and ACD domains disturbs subcellular localization of Hsp27, resulting in partial nuclear translocation.

Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease.

Objectives: To propose a multimodal functional brain network (FBN) and structural brain network (SBN) topological feature fusion technique based on resting-state functional magnetic resonance imaging (rs-fMRI), diffusion tensor imaging (DTI), 3D-T1-weighted imaging (3D-T1WI), and demographic characteristics to diagnose mild cognitive impairment (MCI) in patients with unilateral middle cerebral artery (MCA) steno-occlusive disease.

Methods: The performances of different algorithms on the MCI dataset were evaluated using 5-fold cross-validation. The diagnostic results of the multimodal performance were evaluated using t-distributed stochastic neighbor embedding (t-SNE) analysis.

The association between cognitive frailty and the risk of fall occurrence in older adults: a meta-analysis of cohort studies.

Background: Cognitive frailty increases the risk of fall occurrence. However, previous studies have shown inconsistent correlations between cognitive frailty and the risk of fall occurrence.

Objective: To systematically review studies and explore the association between cognitive frailty and the risk of fall occurrence.

Risk of second primary cancer in young breast cancer survivors: an important yet overlooked issue.

Currently, female breast cancer (BC) represents the highest incidence of cancer globally. This trend has raised significant attention regarding breast cancer young women (BCYW). With advancements in treatment technology, BCYW survivors are living longer; however, the risk of developing or succumbing to a second primary cancer (SPC) has greatly increased.

The value of ultrasound indicators in early pregnancy for predicting selective intrauterine growth restriction and twin-twin transfusion syndrome: a case‒control study.

Background: Selective intrauterine foetal growth restriction (sIUGR) and twin-twin transfusion syndrome (TTTS) are common complications in Monochorionic diamniotic (MCDA) twin pregnancies. Timely and accurate diagnosis and intervention are essential to improve perinatal outcomes. The purpose of this study was to determine the value of differences in crown - rump lengths (CRL) and nuchal translucency (NT) and evaluate the significance of differences in embryo length in predicting the occurrence of sIUGR and TTTS.

Association of age at menarche and different causes of infertility: a retrospective study of 7634 women undergoing assisted reproductive technology.

Background: Infertility has become a world-wide public health problem. To identify women in a high-risk of infertility at an early stage when more treatments are available, early risk factors such as age at menarche (AAM) are being investigated. AAM is often used in epidemiological studies as a marker of the timing of pubertal development and the onset of the hypothalamic-pituitary-ovarian axis functions.

Associations of green and blue spaces with visual acuity in youths from Shandong Province, China: A large population-based study.

While growing evidence highlights the benefits of green and blue spaces for physical and mental health, their combined effects on youth visual acuity remain unclear. This study aimed to evaluate the associations of green and blue spaces with visual acuity in youths. We analyzed data from the 2023 Common Disease and Health Risk Factors Surveillance and Intervention Program among students in Shandong Province, China.

Fluorapatite Glass-Ceramics in Dentistry: Synthesis, Properties, Forming Technology, Applications, Challenges, and Future Perspectives.

Fluorapatite glass-ceramics (FGC) have been widely used in dental ceramics due to their excellent aesthetic properties and biocompatibility. In recent years, new synthesis methods, forming technologies, and the continuous optimization of performance attributes have driven the application of FGC in dental veneers, coatings, composites, and other restorations. This review summarizes the current research and applications of this material in the dental field and looks forward to its future optimization directions.

Analysis of factors influencing attrition among clinical traditional Chinese medical major graduates: based on a discrete choice experiment.

Background: Traditional Chinese Medicine (TCM) is essential for promoting health worldwide. Despite governmental support, TCM faces critical challenges, including workforce shortages and high attrition rates, with many clinical TCM graduates pursuing non-clinical careers. This study aims to explore the employment preferences of these graduates and to propose strategies for retaining TCM professionals, optimizing the input-output ratio of TCM education, and supporting the sustainable development of the TCM industry.

Autoimmune disease and risk of lymphoma: analysis from real-world data and Mendelian randomization study.

Background: Autoimmune diseases (AIDs) appear to be the primary predisposing factors for lymphoma. This study aims to investigate the causal effects between AIDs and lymphomagenesis.

Methods: A two-sample Mendelian randomization (MR) framework was employed to estimate the causal effect through UK Biobank (UKB) and FinnGen cohorts.

Paper-based degradable, label-free microRNA sensing platform based on oxide thin-film transistor arrays.

MicroRNAs have started being used as an effective marker in early diagnosis and preoperative monitoring of cancers in recent years. Traditional microRNA testing technology, such as quantitative reverse transcription polymerase chain reaction (qRT-PCR) and various fluorescent and colorimetric assays, often suffer from complicated operations and limited sensitivity. They also produce significant electronic waste posing threats to human health and environment.

Gamma-Glutamyl Transferase Plus Carcinoembryonic Antigen Ratio Index: A Promising Biomarker Associated with Treatment Response to Neoadjuvant Chemotherapy for Patients with Colorectal Cancer Liver Metastases.

Background: Colorectal cancer liver metastasis (CRLM) is a significant contributor to cancer-related illness and death. Neoadjuvant chemotherapy (NAC) is an essential treatment approach; however, optimal patient selection remains a challenge. This study aimed to develop a machine learning-based predictive model using hematological biomarkers to assess the efficacy of NAC in patients with CRLM.