Tegaserod maleate exerts anti-tumor effects on prostate cancer via repressing sonic hedgehog signaling pathway.

Prostate cancer (PCa) is a highly common type of malignancy and affects millions of men in the world since it is easy to recur or emerge therapy resistance. Therefore, it is urgent to find novel treatments for PCa patients. In the current study, we found that tegaserod maleate (TM), an FDA-approved agent, inhibited proliferation, colony formation, migration as well as invasion, caused the arrest of the cell cycle, and promoted apoptosis of PCa cells in vitro.

Understanding the experience of the mothers' ability to take care of their preterm infants related to in-hospital and post-discharge: a qualitative content analysis.

Background: Preterm infants may experience many health and developmental issues, which continue even after discharge from the neonatal intensive care unit. Once home, the mother, as a non-professional and the primary caregiver will be responsible for the essential care of her preterm infant.

Purpose: Understanding the take care ability in mothers with preterm infants.

AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios.

Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.

Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.

Sustainable utilization of bovine adipose tissue derivatives as robust antimicrobial agents against Methicillin-resistant Staphylococcus aureus.

Background: The excessive use of antibiotics is a major contributor to the global issue of antimicrobial resistance (AMR), a significant threat to human and animal health. Hence, assessing new strategies for managing Multi-Drug Resistant (MDR) microorganisms is vital. In this study, the use of mechanically isolated mature adipose cells (MIMACs) and their lysate (Adipolysate) as a new sustainable antimicrobial agent was assessed against Methicillin-resistant Staphylococcus aureus (MRSA).

Quinone extraction drives atmospheric carbon monoxide oxidation in bacteria.

Diverse bacteria and archaea use atmospheric CO as an energy source for long-term survival. Bacteria use [MoCu]-CO dehydrogenases (Mo-CODH) to convert atmospheric CO to carbon dioxide, transferring the obtained electrons to the aerobic respiratory chain. However, it is unknown how these enzymes oxidize CO at low concentrations and interact with the respiratory chain.

ADSL promotes autophagy and tumor growth through fumarate-mediated Beclin1 dimethylation.

As an enzyme with a critical role in de novo purine synthesis, adenylosuccinate lyase (ADSL) expression is upregulated in various malignancies. However, whether ADSL possesses noncanonical functions that contribute to cancer progression remains poorly understood. Here, we demonstrate that protein kinase R-like endoplasmic reticulum kinase (PERK) activated by lipid deprivation or ER stress phosphorylates ADSL at S140, leading to an enhanced association between ADSL and Beclin1.

Relationship between age, conditioning intensity, and outcome after allografting in adults age ≥60 years with AML.

Methodological advancements now allow older adults with AML to receive allografts although conflicting data exist regarding relative outcomes across age groups and benefits of different conditioning intensities. We retrospectively analyzed 495 adults aged 60-64 (n = 184), 65-69 (n = 189), or ≥70 (n = 122) allografted for AML in remission at our institution from 2006 to 2023. There were no significant differences in relapse or relapse-free survival (RFS) among the 3 age cohorts after multivariable adjustment.

Comparison of transcriptomic profiles between intracellular and extracellular Bartonella henselae.

The Bartonella genus of bacteria encompasses ubiquitous species, some of which are pathogenic in humans and animals. Bartonella henselae, the causative agent of Cat Scratch disease, is responsible for a large portion of human Bartonella infections. These bacteria can grow outside of cells, replicate in erythrocytes and invade endothelial and monocytic cells.

Sub-micrometer scale synchrotron x-ray fluorescence measurements of trace elements in teeth compared with laser ablation inductively coupled plasma mass spectrometry.

Background: Elemental analysis of teeth allows for exposure assessment during critical windows of development and is increasingly used to link early life exposures and health. The measurement of inorganic elements in teeth is challenging; laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is the most widely used technique.

Objective: Both synchrotron x-ray fluorescence (SXRF) and LA-ICP-MS have the capability to measure elemental distributions in teeth with each having distinct advantages and disadvantages.

Spatiotemporal glacier retreat on the Tibetan Plateau since the LGM to early holocene based on compilation of moraine boulder ages.

Tibetan Plateau and its surrounding mountains (TPSM) have experienced prominent glacier retreat since the Global Last Glacial Maximum, while the detailed deglaciation process remains unclear. To investigate the spatiotemporal pattern of the glacier retreat history, we compiled 196 moraines dating from 26.5 to 10 ka based on 994 boulder Be exposure age from seven regions on the TPSM and calculated the separated component Gaussians of moraine ages.

Niche-derived Semaphorin 4A safeguards functional identity of myeloid-biased hematopoietic stem cells.

Somatic stem cell pools comprise diverse, highly specialized subsets whose individual contribution is critical for the overall regenerative function. In the bone marrow, myeloid-biased hematopoietic stem cells (myHSCs) are indispensable for replenishment of myeloid cells and platelets during inflammatory response but, at the same time, become irreversibly damaged during inflammation and aging. Here we identify an extrinsic factor, semaphorin 4A (Sema4A), which non-cell-autonomously confers myHSC resilience to inflammatory stress.

Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks.

Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using physics for computing in parallel resistive memory arrays. However, recurrent neural networks (RNN) that are widely used for speech-recognition and natural language processing have tasted limited success with this approach. This can be attributed to the significant time and energy penalties incurred in implementing nonlinear activation functions that are abundant in such models.

The impact of climate change on vulnerable populations in pediatrics: opportunities for AI, digital health, and beyond-a scoping review and selected case studies.

Climate change critically impacts global pediatric health, presenting unique and escalating challenges due to children's inherent vulnerabilities and ongoing physiological development. This scoping review intricately intertwines the spheres of climate change, pediatric health, and Artificial Intelligence (AI), with a goal to elucidate the potential of AI and digital health in mitigating the adverse child health outcomes induced by environmental alterations, especially in Low- and Middle-Income Countries (LMICs). A notable gap is uncovered: literature directly correlating AI interventions with climate change-impacted pediatric health is scant, even though substantial research exists at the confluence of AI and health, and health and climate change respectively.

Increased serum GM-CSF at diagnosis of biliary atresia is associated with improved biliary drainage.

Background: The immune heterogeneity of biliary atresia (BA) presents a challenge for development of prognostic biomarkers. This study aimed to identify early immune signatures associated with biliary drainage after Kasai Portoenterostomy (KPE).

Methods: Serum samples, liver slides, and clinical data were obtained from patients enrolled in the NIDDK-supported Childhood Liver Disease Research Network.

Outside-in engineering of cadherin endocytosis using a conformation strengthening antibody.

P-cadherin, a crucial cell-cell adhesion protein which is overexpressed in numerous malignant cancers, is a popular target for drug delivery antibodies. However, molecular guidelines for engineering antibodies that can be internalized upon binding to P-cadherin are unknown. Here, we use a combination of biophysical, biochemical, and cell biological methods to demonstrate that trapping the P-cadherin extracellular region in an X-dimer adhesive conformation triggers cadherin endocytosis via an outside-in signaling mechanism.

Shaping epithelial tissues by stem cell mechanics in development and cancer.

Adult stem cells balance self-renewal and differentiation to build, maintain and repair tissues. The role of signalling pathways and transcriptional networks in controlling stem cell function has been extensively studied, but there is increasing appreciation that mechanical forces also have a crucial regulatory role. Mechanical forces, signalling pathways and transcriptional networks must be coordinated across diverse length and timescales to maintain tissue homeostasis and function.

Atmospheric cold plasma alters plant traits and negatively affects the growth and development of fall armyworm in rice.

Plasma is considered as the fourth state of matter, and atmospheric cold plasma (cold plasma) is a type of plasma consisting of ionized gases containing excited species of atoms, molecules, ions, and free radicals at near room temperature. Cold plasma is generated by applying high voltage to gases, causing it to ionize thus forming plasma. Although cold plasma has been found to break seed dormancy and improve germination rate, only a few studies have explored the potential of cold plasma against insect herbivory.

A deep learning analysis for dual healthcare system users and risk of opioid use disorder.

The opioid crisis has disproportionately affected U.S. veterans, leading the Veterans Health Administration to implement opioid prescribing guidelines.

Accurate Dehydrogenation Enthalpies Dataset for Liquid Organic Hydrogen Carriers.

This contribution presents a comprehensive extension of the QM9 dataset (originally at 133 K molecules) with the calculation of G4MP2 enthalpies for 9,841 molecules, featuring up to nine heavy atoms. We present QM9-LOHC, a (de)hydrogenation dataset of 10,373 reactions, including a minimum of 5.5% weight hydrogen storage capacity in line with the Department of Energy standards for Liquid Organic Hydrogen Carriers (LOHC).

A Multidisciplinary Multimodal Aligned Dataset for Academic Data Processing.

Academic data processing is crucial in scientometrics and bibliometrics, such as research trending analysis and citation recommendation. Existing datasets in this domain have predominantly concentrated on textual data, overlooking the importance of visual elements. To bridge this gap, we introduce a multidisciplinary multimodal aligned dataset (MMAD) specifically designed for academic data processing.

Intricacies of human-AI interaction in dynamic decision-making for precision oncology.

AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process, we conducted a Human-AI interaction study on response-adaptive radiotherapy for non-small cell lung cancer and hepatocellular carcinoma.

Strength and durability of indirect protection against SARS-CoV-2 infection through vaccine and infection-acquired immunity.

Early investigation revealed a reduced risk of SARS-CoV-2 infection among social contacts of COVID-19 vaccinated individuals, referred to as indirect protection. However, indirect protection from SARS-CoV-2 infection-acquired immunity and its comparative strength and durability to vaccine-derived indirect protection in the current epidemiologic context of high levels of vaccination, prior infection, and novel variants are not well characterized. Here, we show that both vaccine-derived and infection-acquired immunity independently yield indirect protection to close social contacts with key differences in their strength and waning.