Osbornekolding2538
ld reliably distinguish the patients with AS from normal cases.
Survival and drug response are two highly emphasized clinical outcomes in cancer research that directs the prognosis of a cancer patient. Peptide 17 solubility dmso Here, we have proposed a late multi omics integrative framework that robustly quantifies survival and drug response for breast cancer patients with a focus on the relative predictive ability of available omics datatypes. Neighborhood component analysis (NCA), a supervised feature selection algorithm selected relevant features from multi-omics datasets retrieved from The Cancer Genome Atlas (TCGA) and Genomics of Drug Sensitivity in Cancer (GDSC) databases. A Neural network framework, fed with NCA selected features, was used to develop survival and drug response prediction models for breast cancer patients. The drug response framework used regression and unsupervised clustering (K-means) to segregate samples into responders and non-responders based on their predicted IC50 values (Z-score).
The survival prediction framework was highly effective in categorizing patients into risk subtypes with an accuracy of 94%. Compared to single-omics and early integration approaches, our drug response prediction models performed significantly better and were able to predict IC50 values (Z-score) with a mean square error (MSE) of 1.154 and an overall regression value of 0.92, showing a linear relationship between predicted and actual IC50 values.
The proposed omics integration strategy provides an effective way of extracting critical information from diverse omics data types enabling estimation of prognostic indicators. Such integrative models with high predictive power would have a significant impact and utility in precision oncology.
The proposed omics integration strategy provides an effective way of extracting critical information from diverse omics data types enabling estimation of prognostic indicators. Such integrative models with high predictive power would have a significant impact and utility in precision oncology.
It is common for older people to become grandparents in later life. However, the impacts of grandparenting on their health and well-being remain ambiguous, especially in Chinese society, where the family is in the core of culture. The current study explored the relationship between grandparenthood and Chinese older people's health and psychological well-being in Hong Kong.
Cross-sectional data were collected from a sample of 1208 Hong Kong Chinese older people aged 55 and above through a telephone survey conducted in 2019. Participants were grouped into three categories current grandparents (n = 507), grandparents-to-be (n = 275), and grandparents-not-to-be (n = 426). Multivariate linear regressions were performed to examine the relationship between grandparenting status and health and well-being outcomes, including self-rated physical health, mental health, resilience, and happiness. The potential moderating roles of older adults' demographic characteristics, including age, sex, education, marital status between grandparenthood and older adults' health and well-being. It calls for future studies to further explore the mechanisms between grandparenthood and the healthy ageing of different subgroups of older adults.
Though adherence to disease-modifying therapies (DMTs) among persons with multiple sclerosis (PwMS) varies and is often below 80%, only few prospective studies on adherence examined predictors beyond demographic and clinical characteristics.
Identify antecedents to adherence and persistence to DMT in a prospective design among PwMS.
PwMS (n = 186) were prospectively assessed at three time points baseline, 6 (Time 1) and 12 months later (Time 2). Clinical, demographic information and patient-reported medication beliefs, illness perceptions, medication habits, perceived health and affect were surveyed in-person. Adherence and persistence were assessed by a combination of self-reports and retrospective review of medication claims.
PwMS were 69.9% (Time 1) and 71% (Time 2) adherent to their DMTs and 64.5.9% were persistent. Beliefs about Medications were consistently predictive at both time points (baseline to Time 1 and Time 1 to Time 2) of medication adherence and persistence whereas other perceptions were predictive in some analyses; clinical and demographic characteristics were mostly not predictive of adherence nor persistence. The prospective association of beliefs about medication with adherence held also in multivariate analyses (OR = 0.88, 95% CI 0.78-0.99, p = 0.029).
Adherence and persistence are predicted by medication beliefs of PwMS. As medication beliefs are modifiable, they should be assessed periodically and targeted as a focus of tailored interventions aimed to improve adherence and consequently health outcomes in PwMS.
Clinical trials registry # NCT02488343 , date 06/08/2015.
Clinical trials registry # NCT02488343 , date 06/08/2015.
Coronavirus Disease 2019 (COVID-19) is a pandemic affecting all countries in the world. Italy has been particularly afflicted by the health emergency, and since the peak phase has passed, major concern regarding medium to long term complications due to COVID-19 is arising. Little is known in literature regarding thromboembolic complications once healed after COVID-19.
A 51-year-old patient recovered from COVID-19 pneumonia complicated by pulmonary embolism (PE) came to the hospital for palpitations and chest pain. Although he was on treatment dose of direct oral anticoagulation (DOAC), massive recurrent PE was diagnosed.
In the early post COVID-19 era, the question remains regarding the efficacy of DOACs in COVID-19 patients.
In the early post COVID-19 era, the question remains regarding the efficacy of DOACs in COVID-19 patients.
Differential polarization of macrophage into M1 and M2 mediates atherosclerotic plaque clearance through efferocytosis. Higher expression of Mer proto-oncogene tyrosine kinase (MerTK) on M2 macrophage helps in maintaining macrophage efferocytic efficiency. In healthy individuals, macrophage polarization into M1 and M2 occurs in tissues in concomitance with the acquisition of functional phenotypes depending on specific microenvironment stimuli. However, whether the macrophage differential polarization and MerTK expression vary in coronary artery disease (CAD) patients remain unknown.
This study aimed to elucidate the polarization of M1 and M2 macrophage from CAD patients as well as to investigate the expression of MerTK in these macrophage phenotypes.
A total of 14 (n) CAD patients were recruited and subsequently grouped into "no apparent CAD", "non-obstructive CAD" and "obstructive CAD" according to the degree of stenosis. Thirty ml of venous blood was withdrawn to obtain monocyte from the patients. The M1 macrophage was generated by treating the monocyte with GMCSF, LPS and IFN-γ while MCSF, IL-4 and IL-13 were employed to differentiate monocyte into M2 macrophage.
