Hydroxyapatite Film with Distinctive Roughness for Simulating the Bone Microenvironment and Revealing the Behavior of Metastatic Mammary Cancer.

Breast cancer is a common malignant tumor arising in normal mammary epithelial tissues. Nearly 75% of the patients with advanced mammary cancer develop bone metastases, resulting in secondary tumor growth, osteolytic bone degradation, and poor prognosis. The bone matrix comprises a highly hierarchical architecture and is composed of a nonmineral organic part, a predominantly type-I collagen, and a mineral inorganic part composed of hydroxyapatite (HA) nanocrystals (Ca(PO)(OH)).

Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches.

Sugarcane smut and Pachymetra root rots are two serious diseases of sugarcane, with susceptible infected crops losing over 30% of yield. A heritable component to both diseases has been demonstrated, suggesting selection could improve disease resistance. Genomic selection could accelerate gains even further, enabling early selection of resistant seedlings for breeding and clonal propagation.

Temporal patterns of organ dysfunction in COVID-19 patients hospitalized in the intensive care unit: A group-based multitrajectory modeling analysis.

Background: The course of organ dysfunction (OD) in Corona Virus Disease 2019 (COVID-19) patients is unknown. Herein, we analyze the temporal patterns of OD in intensive care unit-admitted COVID-19 patients.

Methods: Sequential organ failure assessment scores were evaluated daily within 2 weeks of admission to determine the temporal trajectory of OD using group-based multitrajectory modeling (GBMTM).

Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non-additive variation for key traits.

Sugarcane has a complex, highly polyploid genome with multi-species ancestry. Additive models for genomic prediction of clonal performance might not capture interactions between genes and alleles from different ploidies and ancestral species. As such, genomic prediction in sugarcane presents an interesting case for machine learning (ML) methods, which are purportedly able to deal with high levels of complexity in prediction.

Clinical characteristics, risk factors and outcomes of Klebsiella pneumoniae pneumonia developing secondary Klebsiella pneumoniae bloodstream infection.

Purpose: The clinical characteristics of Klebsiella pneumoniae (KP) pneumonia and KP bloodstream infection (KP-BSI) are often reported, while the risk factors for KP pneumonia developing into secondary KP-BSI (KP-pneumonia/KP-BSI) are largely unknown. Therefore, this study attempted to investigate the clinical characteristics, risk factors and outcomes of KP-pneumonia/KP-BSI.

Methods: A retrospective observational study was conducted at a tertiary hospital between January 1, 2018, and December 31, 2020.

Relationship between the microRNAs and PI3K/AKT/mTOR axis: Focus on non-small cell lung cancer.

Lung cancer (LC) is one of the significant causes of mortality worldwide. It has been reported that several factors, including late diagnosis, cancer recurrence, lack of access to effective treatments, and especially chemo-resistance, negatively impact the clinical outcome of the available therapeutic regimens. MicroRNAs (miRNAs) are a class of endogenous non-coding small RNAs, which have been demonstrated to be involved in different aspects of cancer pathogenesis, some of which are known as tumor suppressors, and others may have a role in cancer development or progression.

Circulating galectin-3 on admission and prognosis in acute heart failure patients: a meta-analysis.

Changes of serum galectin-3 have been associated with the pathogenesis of many cardiovascular diseases. The aim of the study was to evaluate the prognostic role of serum galectin-3 in patients with acute heart failure (AHF) in a meta-analysis. Follow-up studies evaluating the association between serum galectin-3 on admission and clinical outcomes in AHF patients were identified via search of PubMed and Embase databases.

The treatment efficacy of galcanezumab for migraine: A meta-analysis of randomized controlled trials.

The treatment efficacy of galcanezumab for migraine remained controversial. We conducted a systematic review and meta-analysis to explore the influence of galcanezumab versus placebo on the treatment of migraine. We searched PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through October 2018 for randomized controlled trials (RCTs) assessing the effect of galcanezumab versus placebo for patients with migraine.

Efficacy and Safety of Antiplatelet Therapy Plus Xa Factor Inhibitors in Patients with Coronary Heart Disease: A Meta-Analysis.

BACKGROUND The aim of this study was to systematically evaluate the effect of oral Xa inhibitors plus antiplatelet therapy in the treatment of coronary artery disease. MATERIAL AND METHODS All randomized controlled trials (RCTs) about antiplatelet therapy plus Xa factor inhibitors for coronary artery disease from database inception to January 2019 were searched for and collected from PubMed, Embase, and the Cochrane Library. Two reviewers extracted and analyzed the data independently.

Effect of paracetamol (acetaminophen) on body temperature in acute stroke: A meta-analysis.

Purpose: The objective of this study was to assess the efficacy of paracetamol (acetaminophen) on body temperature in acute stroke.

Methods: Medline, Cochrane Central Register of Controlled Trials, EMBASE, Chinese BioMedical Literature Database, China National Knowledge Infrastructure, and the World Health Organization (WHO) International Clinical Trials Registry Platform were searched electronically. Relevant journals and references of studies included were hand-searched for randomized controlled trials (RCT) and controlled clinical trials (CCT) regarding the efficacy of paracetamol (acetaminophen) on body temperature in acute stroke.