Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches.

The causes of low milk supply are multifactorial, including factors such as gene mutations, endocrine disorders, and infrequent milk removal. These factors affect the functional capacity of the mammary gland and, potentially, the concentrations of milk components. This study aimed to investigate the differences in milk composition between mothers with low and normal milk supply and develop predictive machine learning models for identifying low milk supply.

Association between descending aorta wall thickness or wall area and cardiovascular disease risk factors in cardiovascular disease-free patients: a study based on water-calcium material decomposition and subtraction-based computed tomography dark-blood imaging.

Background: Due to the low contrast between the vascular lumen and vessel wall, conventional computed tomography (CT) is not an effective method for visualizing the vessel wall. The purpose of this study was to assess the feasibility of vessel wall visualization using contrast-enhanced dual-energy CT (DECT)-derived water-calcium material decomposition (WMD) and subtraction-based dark-blood imaging (DBI). An additional objective of this study was to determine the association of descending aorta wall thickness (WT) and wall area (WA) with cardiovascular disease (CVD) risk factors and to ascertain the potential of DECT-derived WT and WA as image markers for identifying individuals at high risk for future CVD.

Survival outcomes, multidimensional prediction and subsequent therapy in patients with hormone receptor-positive advanced breast cancer receiving palbociclib: a real-world analysis.

Background: To date, the overall survival (OS) of hormone receptor-positive advanced breast cancer (ABC) treated with palbociclib has not been reported in Chinese patients. It still remains unclear what kind of patients may benefit in OS from palbociclib treatment and what the optimal sequential antineoplastic regimen is for those progressing on palbociclib. Therefore, we aimed to investigate the OS outcome of ABC patients receiving palbociclib, establish a predictive model to identify the potential candidates who may benefit from palbociclib and explore the ideal subsequent treatment strategy after palbociclib.

Proteolysis-targeting influenza vaccine strains induce broad-spectrum immunity and in vivo protection.

Generating effective live vaccines from intact viruses remains challenging owing to considerations of safety and immunogenicity. Approaches that can be applied in a systematic manner are needed. Here we created a library of live attenuated influenza vaccines by using diverse cellular E3 ubiquitin ligases to generate proteolysis-targeting (PROTAR) influenza A viruses.

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in locoregionally- advanced nasopharyngeal carcinoma (LA-NPC) using serial MRI before and after induction chemotherapy (IC). Materials and Methods This multicenter retrospective study included 1039 LA-NPC patients (779 male, 260 female, mean age 44 [standard deviation: 11]) diagnosed between April 2009 and December 2015. A radiomics- clinical prognostic model (Model RC) was developed using pre-and post-IC MRI and other clinical factors using graph convolutional neural networks (GCN).

High clinical utility of long-read sequencing for precise diagnosis of congenital adrenal hyperplasia in 322 probands.

Background: The molecular genetic diagnosis of congenital adrenal hyperplasia (CAH) is very challenging due to the high homology between the CYP21A2 gene and its pseudogene CYP21A1P.

Methodology: This study aims to assess the clinical efficacy of targeted long-read sequencing (T-LRS) by comparing it with a control method based on the combined assay (NGS, Multiplex ligation-dependent probe amplification and Sanger sequencing) and to introduce T-LRS as a first-tier diagnostic test for suspected CAH patients to improve the precise diagnosis of CAH.

Results: A large cohort of 562 participants including 322 probands and 240 family members was enrolled for the perspective (96 probands) and prospective study (226 probands).

Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network.

Background: The accurate deciphering of spatial domains, along with the identification of differentially expressed genes and the inference of cellular trajectory based on spatial transcriptomic (ST) data, holds significant potential for enhancing our understanding of tissue organization and biological functions. However, most of spatial clustering methods can neither decipher complex structures in ST data nor entirely employ features embedded in different layers.

Results: This article introduces STMSGAL, a novel framework for analyzing ST data by incorporating graph attention autoencoder and multiscale deep subspace clustering.

A Preclinical Immunogenicity Study of the Recombinant Human Papillomavirus Nine-Valent Virus-like Particle Vaccine.

Background: Cervical cancer is associated with persistent infection of high-risk human papillomaviruses (HPVs). Prophylactic HPV vaccines have been recommended and have significant efficacy in preventing cervical cancer. Multivalent HPV vaccines have a better preventative effect on HPV-related diseases.

Novel MRI-based Hyper-Fused Radiomics for Predicting Pathologic Complete Response to Neoadjuvant Therapy in Breast Cancer.

Rationale And Objectives: To propose a novel MRI-based hyper-fused radiomic approach to predict pathologic complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer (BC).

Materials And Methods: Pretreatment dynamic contrast-enhanced (DCE) MRI and ultra-multi-b-value (UMB) diffusion-weighted imaging (DWI) data were acquired in BC patients who received NAT followed by surgery at two centers. Hyper-fused radiomic features (RFs) and conventional RFs were extracted from DCE-MRI or UMB-DWI.

Trivalent recombinant protein vaccine induces cross-neutralization against XBB lineage and JN.1 subvariants: preclinical and phase 1 clinical trials.

The immune escape capacities of XBB variants necessitate the authorization of vaccines with these antigens. In this study, we produce three recombinant trimeric proteins from the RBD sequences of Delta, BA.5, and XBB.

Patient-reported outcomes of rezvilutamide versus bicalutamide in combination with androgen deprivation therapy in high-volume metastatic hormone-sensitive prostate cancer patients (CHART): a randomized, phase 3 study.

The randomized phase 3 CHART trial (NCT03520478) revealed that rezvilutamide (REZ) plus androgen deprivation therapy (ADT) in high-volume, metastatic, hormone-sensitive prostate cancer (mHSPC) significantly enhanced radiographic progression-free and overall survival than bicalutamide (BIC)-ADT. Accordingly, we examined patient-reported outcomes (PROs) results, which were exploratory endpoints in the CHART trial. The patients were randomly allocated to receive REZ-ADT or BIC-ADT in a 1:1 ratio.

Predicting High-risk Lung Adenocarcinoma in Solid and Part-solid Nodules on Low-dose CT: A Multicenter Study.

Rationale And Objectives: High-grade patterns, visceral pleural invasion, lymphovascular invasion, spread through air spaces, and lymph node metastasis are high-risk factors and associated with poor prognosis in lung adenocarcinomas (LUADs). This study aimed to construct and validate a radiomic model and a radiographic model derived from low-dose CT (LDCT) for predicting high-risk LUADs in solid and part-solid nodules.

Materials And Methods: This study retrospectively enrolled 658 pathologically confirmed LUADs from July 2018 to December 2022 from four centers, which were divided into training set (n=411), internal validation set (n=139), and external validation set (n=108).

The QIBA Profile for Dynamic Susceptibility Contrast MRI Quantitative Imaging Biomarkers for Assessing Gliomas.

The dynamic susceptibility contrast (DSC) MRI measures of relative cerebral blood volume (rCBV) play a central role in monitoring therapeutic response and disease progression in patients with gliomas. Previous investigations have demonstrated promise of using rCBV in classifying tumor grade, elucidating tumor viability after therapy, and differentiating pseudoprogression and pseudoresponse. However, the quantification and reproducibility of rCBV measurements across patients, devices, and software remain a critical barrier to routine or clinical trial use of longitudinal DSC MRI in patients with gliomas.

Endothelial FUNDC1 Deficiency Drives Pulmonary Hypertension.

Background: Pulmonary hypertension (PH) is associated with endothelial dysfunction. However, the cause of endothelial dysfunction and its impact on PH remain incompletely understood. We aimed to investigate whether the hypoxia-inducible FUNDC1 (FUN14 domain-containing 1)-dependent mitophagy pathway underlies PH pathogenesis and progression.

Association Between Time to Treatment and Outcomes of Endovascular Therapy vs Medical Management in Patients With Large Ischemic Stroke.

Background And Objectives: Randomized trials have proven the benefit of endovascular therapy (EVT) for acute large ischemic stroke. This study was to characterize the effect of time to treatment on benefit of EVT vs medical management (MM) among patients with large ischemic stroke.

Methods: This was a post hoc analysis of the Endovascular Therapy in Acute Anterior Circulation Large Vessel Occlusive Patients with a Large Infarct Core randomized trial.

Accelerated spine MRI with deep learning based image reconstruction: a prospective comparison with standard MRI.

Rationale And Objectives: To evaluate the performance of deep learning (DL) reconstructed MRI in terms of image acquisition time, overall image quality and diagnostic interchangeability compared to standard-of-care (SOC) MRI.

Materials And Methods: This prospective study recruited participants between July 2023 and August 2023 who had spinal discomfort. All participants underwent two separate MRI examinations (Standard and accelerated scanning).

Clearance of p21 highly expressing senescent cells accelerates cutaneous wound healing.

While senescent cells have detrimental roles in several contexts, they are highly heterogeneous. p16 highly expressing senescent cells have been reported to exert beneficial functions in wound healing. Here we use Xenium spatial transcriptomics to identify a distinct p21 highly expressing senescent population induced on wounding, with a pro-inflammatory profile.

The efficacy, safety, and related factors of bronchial artery embolization for hemoptysis: a systematic review and meta-analysis with subgroup analysis.

Background: Bronchial artery embolization (BAE) is a common and important way to manage hemoptysis. This study's purpose was to summarize the efficacy, safety, and related factors of BAE in the treatment of hemoptysis.

Methods: From January 2010 to August 2023, a systematic literature search was conducted in PubMed, EMBASE, Web of Science, and Cochrane Library databases.

An Interdisciplinary Approach Toward Developing an Engaging and Clinically Relevant Medical Imaging Curriculum.

Rationale And Objectives: Competency in imaging is essential for physicians to diagnose and manage disease. Previously, the authors introduced radiology education in the anatomy lab. The present study transitioned the radiology education to the classroom with the primary goal of increasing engagement and clinical relevance.

An oral non-covalent non-peptidic inhibitor of SARS-CoV-2 Mpro ameliorates viral replication and pathogenesis in vivo.

Safe, effective, and low-cost oral antiviral therapies are needed to treat those at high risk for developing severe COVID-19. To that end, we performed a high-throughput screen to identify non-peptidic, non-covalent inhibitors of the SARS-CoV-2 main protease (Mpro), an essential enzyme in viral replication. NZ-804 was developed from a screening hit through iterative rounds of structure-guided medicinal chemistry.

Kindlin-2 Phase Separation in Response to Flow Controls Vascular Stability.

Background: Atheroprotective shear stress preserves endothelial barrier function, while atheroprone shear stress enhances endothelial permeability. Yet, the underlying mechanisms through which distinct flow patterns regulate EC integrity remain to be clarified. This study aimed to investigate the involvement of Kindlin-2, a key component of focal adhesion and endothelial adherens junctions crucial for regulating endothelial cell (EC) integrity and vascular stability.