Evolution of the umbilical cord blood proteome across gestational development.

Neonatal health is dependent on early risk stratification, diagnosis, and timely management of potentially devastating conditions, particularly in the setting of prematurity. Many of these conditions are poorly predicted in real-time by clinical data and current diagnostics. Umbilical cord blood may represent a novel source of molecular signatures that provides a window into the state of the fetus at birth.

Adherence to multi-target stool DNA testing for colorectal cancer screening in the United States.

Purpose: Colorectal cancer (CRC) is the second leading cause of cancer mortality in the USA and is highly preventable, with early screening vital for improving outcomes. This study aimed to evaluate adherence rates of multi-target stool DNA (mt-sDNA) testing, following updated guidelines recommending screening starting at age 45.

Methods: This retrospective cohort study used aggregated data from Exact Sciences Laboratories LLC, examining new users (first-time testers) aged 45-85 with commercial, Medicare, or Medicaid insurance who received mt-sDNA test kits (point-of-care) between January 1, 2023, and June 1, 2023.

Impact of papillary muscle infarction on atrial and ventricular myocardial deformation in non-anterior STEMI patients.

The purpose of this study was to explore the impact of papillary muscle (PPM) infarction on left atrial and ventricular strain parameters in patients with non-anterior ST-segment elevation myocardial infarction (NA-STEMI) using cardiovascular magnetic resonance (CMR). This retrospective study performed CMR scans on 88 consecutive patients with NA-STEMI (68 males, 65 ± 10.05 years).

Epicardial adipose tissue, cardiac damage, and mortality in patients undergoing TAVR for aortic stenosis.

Computed tomography (CT)-derived Epicardial Adipose Tissue (EAT) is linked to cardiovascular disease outcomes. However, its role in patients undergoing Transcatheter Aortic Valve Replacement (TAVR) and the interplay with aortic stenosis (AS) cardiac damage (CD) remains unexplored. We aim to investigate the relationship between EAT characteristics, AS CD, and all-cause mortality.

Association between herpes simplex virus infection and Alzheimer's disease biomarkers: analysis within the MAPT trial.

In vitro and animal studies have suggested that inoculation with herpes simplex virus 1 (HSV-1) can lead to amyloid deposits, hyperphosphorylation of tau, and/or neuronal loss. Here, we studied the association between HSV-1 and Alzheimer's disease biomarkers in humans. Our sample included 182 participants at risk of cognitive decline from the Multidomain Alzheimer Preventive Trial who had HSV-1 plasma serology and an amyloid PET scan.

Changes in the potato rhizosphere microbiota richness and diversity occur in a growth stage-dependent manner.

Plant root and soil-associated microbiomes are influenced by niches, including bulk and rhizosphere soil. In this work, we collected bulk and rhizosphere soil samples at four potato developmental stages (leaf growth, flowering, tuber elongation and harvest) to identify whether rhizosphere microbiota are structured in a growth stage-dependent manner. The bacterial and fungal microbiota showed significant temporal differences in the rhizosphere and bulk soil.

Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke.

To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-Net, to generate DL-driven MRA collateral maps. Two raters graded the collateral perfusion scores of both conventional and DL-driven MRA collateral maps and measured the grading time.

Acid sphingomyelinase activity suggests a new antipsychotic pharmaco-treatment strategy for schizophrenia.

Schizophrenia is a chronic and severe mental disorder. It is currently treated with antipsychotic drugs (APD). However, APD's work only in a limited number of patients and may have cognition impairing side effects.

Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.

Digital twins (DTs) in precision medicine are increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside traditional biomedical methodologies. We argue that including mechanistic simulations that produce behavior based on explicitly defined biological hypotheses and multiscale mechanisms is beneficial. It enables the exploration of diverse therapeutic strategies and supports dynamic clinical decision-making through insights from network science, quantitative biology, and digital medicine.

Performance of MR fusion biopsy, systematic biopsy and combined biopsy on prostate cancer detection rate in 1229 patients stratified by PI-RADSv2 score on 3T multi-parametric MRI.

Purpose: We analyzed the additional value of systematic biopsy (SB) to MR-Ultrasound fusion biopsy (MRgFbx) for detection of clinically significant prostate cancer (csPCa), as increased sampling may cause increased morbidity.

Materials And Methods: This retrospective study cohort was comprised of 1229 biopsy sessions between July 2016 and May 2020 in men who had a Prostate Imaging-Reporting and Data System (PI-RADSv2) category ≥ 3 lesion on 3 Tesla multiparametric MRI (3TmpMRI) and subsequent combined biopsy (CB; MRgFbx and SB) for suspected prostate cancer (PCa). Cancer detection rates (CDR) were calculated for CB, MRgFbx and SB in the study cohort and sub-cohorts stratified by biopsy history and PI-RADSv2 category.

Selective deficiency of mitochondrial respiratory complex I subunits Ndufs4/6 causes tumor immunogenicity.

Cancer cells frequently rewire their metabolism to support proliferation and evade immune surveillance, but little is known about metabolic targets that could increase immune surveillance. Here we show a specific means of mitochondrial respiratory complex I (CI) inhibition that improves tumor immunogenicity and sensitivity to immune checkpoint blockade (ICB). Targeted genetic deletion of either Ndufs4 or Ndufs6, but not other CI subunits, induces an immune-dependent growth attenuation in melanoma and breast cancer models.

Microfluidic mixing probe: generating multiple concentration-varying flow dipoles.

This study advances microfluidic probe (MFP) technology through the development of a 3D-printed Microfluidic Mixing Probe (MMP), which integrates a built-in pre-mixer network of channels and features a lined array of paired injection and aspiration apertures. By combining the concepts of hydrodynamic flow confinements (HFCs) and "Christmas-tree" concentration gradient generation, the MMP can produce multiple concentration-varying flow dipoles, ranging from 0 to 100%, within an open microfluidic environment. This innovation overcomes previous limitations of MFPs, which only produced homogeneous bioreagents, by utilizing the pre-mixer to create distinct concentration of injected biochemicals.

Role of transforming growth factor-β1 in regulating adipocyte progenitors.

Adipose tissue (AT) metabolism involves coordinating various cells and cellular processes to regulate energy storage, release, and overall metabolic homeostasis. Therein, macrophage and its cytokine are important in controlling tissue homeostasis. Among cytokines, the role of transforming growth factor-β1 (Tgf-β1), a cytokine abundantly expressed in CD206 M2-like macrophage and correlated with the expansion of AT and fibrosis, in AT metabolism, remains unknown.

Personalized Medicine Through Semisolid-Extrusion Based 3D Printing: Dual-Drug Loaded Gummies for Enhanced Patient Compliance.

Purpose: The purpose of this research was to develop and characterize dual-drug Isoniazid-Pyridoxine gummies using Semisolid Extrusion (SSE) 3D printing technology, aimed at personalized dosing for a broad patient demographic, from pediatric to geriatric. This study leverages SSE 3D printing, an innovative approach in personalized medicine, to enable precise dose customization and improve patient adherence. By formulating dual drug-loaded gummies, the research addresses the challenges of pill burden and poor palatability associated with traditional tuberculosis regimens, ultimately enhancing the therapeutic experience and effectiveness for patients across various age groups.

Rapid Development of High Concentration Protein Formulation Driven by High-Throughput Technologies.

Background: High concentration protein formulation (HCPF) development needs to balance protein stability attributes such as conformational/colloidal stability, chemical stability, and solution properties such as viscosity and osmolality.

Methodology: A three-phase design is established in this work. In Phase 1, conformational and colloidal stability are measured by 384-well-based high-throughput (HT) biophysical screening while viscosity reduction screening is performed with HT viscosity screening.

State laws on intimate partner violence witnessed by children in the United States.

Intimate partner violence (IPV) is common, and almost half of all IPV takes place in relationships with children in the home. We inventoried laws in the 50 states and the District of Columbia in the United States of America (USA) focused on addressing IPV committed in the presence of children, as these laws could help prevent or remediate this critical health and social issue. Using WestLaw, a web-based legal research service, we identified over 1,200 statutes and 500 regulations.

Management of Vascular Complications from Button Battery Ingestions.

Purpose: To propose a gastrointestinal bleeding management algorithm that incorporates an endoscopic and imaging scoring system and specifies management of vascular complication from button battery ingestion.

Recent Findings: Button batteries (BB) are found in many electronic devices and ingestions are associated with serious complications especially in cases of unwitnessed ingestions, prolonged impaction, and in children less than 5 years of age. Gastrointestinal bleeding from BB related vascular injury is rare but often rapidly fatal, with a mortality rate as high as 81%.

A multi-tissue longitudinal proteomics study to evaluate the suitability of post-mortem samples for pathophysiological research.

Recent developments in mass spectrometry-based proteomics have established it as a robust tool for system-wide analyses essential for pathophysiological research. While post-mortem samples are a critical source for these studies, our understanding of how body decomposition influences the proteome remains limited. Here, we have revisited published data and conducted a clinically relevant time-course experiment in mice, revealing organ-specific proteome regulation after death, with only a fraction of these changes linked to protein autolysis.

Stretch-induced endogenous electric fields drive directed collective cell migration in vivo.

Directed collective cell migration is essential for morphogenesis, and chemical, electrical, mechanical and topological features have been shown to guide cell migration in vitro. Here we provide in vivo evidence showing that endogenous electric fields drive the directed collective cell migration of an embryonic stem cell population-the cephalic neural crest of Xenopus laevis. We demonstrate that the voltage-sensitive phosphatase 1 is a key component of the molecular mechanism, enabling neural crest cells to specifically transduce electric fields into a directional cue in vivo.

Defective homologous recombination and genomic instability predict increased responsiveness to carbon ion radiotherapy in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is notably resistant to conventional chemotherapy and radiation treatment. However, clinical trials indicate that carbon ion radiotherapy (CIRT) with concurrent gemcitabine is effective for unresectable locally advanced PDAC. This study aimed to identify patient characteristics predictive of CIRT response.

A scoping review of robustness concepts for machine learning in healthcare.

While machine learning (ML)-based solutions-often referred to as artificial intelligence (AI) solutions-have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to new environments-essentially, their robustness-remains ambiguous and often overlooked. In this review, we aimed to identify the types of robustness addressed in the literature for ML models in healthcare. A total of 274 eligible records were retrieved from PubMed, Web of Science, IEEE Xplore, and additional sources.