Personalized treatment selection using data from crossover designs with carry-over effects

In this work, we propose a semiparametric method for estimating the optimal treatment for a given patient based on individual covariate information for that patient when data from a crossover design are available. Here, we assume there are carry-over effects for patients switching from one treatment to another. For the K treatment (K ≥ 2) scenario, we show that nonparametric estimation of carry-over effects can have the undesirable property that comparison of treatment means can only be done using independent outcome measurements from different groups of patients rather than using available joint measurements for each patient. To overcome this barrier, we compare probabilities of outcome variable of each treatment dominating outcome variables for all other treatments conditional on patient-specific scores constructed from patient covariates. We suggest single-index models as appropriate models connecting outcome variables to covariates and our empirical investigations show that frequencies of correct treatment assignments are highly accurate. The proposed method is also rather robust against departures from a single-index model structure. We also conduct a real data analysis to show the applicability of the proposed procedure.     

Drug discovery strategies for acute radiation syndrome

Introduction: There are at the minimum two major, quite different approaches to advance drug discovery. The first being the target-based drug discovery (TBDD) approach that is commonly referred to as the molecular approach. The second approach is the phenotype-based drug discovery (PBDD), also known as physiology-based drug discovery or empirical approach.

Area covered: The authors discuss, herein, the need for developing radiation countermeasure agents for various sub-syndromes of acute radiation syndromes (ARS) following TBDD and PBDD approaches. With time and continuous advances in radiation countermeasure drug development research, the expectation is to have multiple radiation countermeasure agents for each sub-syndrome made available to radiation exposed victims.

Expert opinion: The majority of the countermeasures currently being developed for ARS employ the PBDD approach, while the TBDD approach is clearly under-utilized. In the future, an improved drug development strategy might be a ‘hybrid’ strategy that is more reliant on TBDD for the initial drug discovery via large-scale screening of potential candidate agents, while utilizing PBDD for secondary screening of those candidates, followed by tertiary analytics phase in order to pinpoint efficacious candidates that target the specific sub-syndromes of ARS.     

An assessment of the translational relevance of Drosophila in drug discovery

Introduction: Drosophila melanogaster offers a powerful expedient and economical system with facile genetics. Because of the high sequence and functional conservation with human disease-associated genes, it has been cardinal in deciphering disease mechanisms at the genetic and molecular level. Drosophila are amenable to and respond well to pharmaceutical treatment which coupled to their genetic tractability has led to discovery, repositioning, and validation of a number of compounds.

Areas covered: This review summarizes the generation of fly models of human diseases, their advantages and use in elucidation of human disease mechanisms. Representative studies provide examples of the utility of this system in modeling diseases and the discovery, repositioning and testing on pharmaceuticals to ameliorate them.

Expert opinion: Drosophila offers a facile and economical whole animal system with many homologous organs to humans, high functional conservation and established methods of generating and validating human disease models. Nevertheless, it remains relatively underused as a drug discovery tool probably because its relevance to mammalian systems remains under question. However, recent exciting success stories using Drosophila disease models for drug screening, repositioning and validation strongly suggest that fly models should figure prominently in the drug discovery pipeline from bench to bedside.     

Screening drugs for myocardial disease in vivo with zebrafish: an expert update

Introduction: Our understanding of the complexity of cardiovascular disease pathophysiology remains very incomplete and has hampered cardiovascular drug development over recent decades. The prevalence of cardiovascular diseases and their increasing global burden call for novel strategies to address disease biology and drug discovery.

Areas covered: This review describes the recent history of cardiovascular drug discovery using in vivo phenotype-based screening in zebrafish. The rationale for the use of this model is highlighted and the initial efforts in the fields of disease modeling and high-throughput screening are illustrated. Finally, the advantages and limitations of in vivo zebrafish screening are discussed, highlighting newer approaches, such as genome editing technologies, to accelerate our understanding of disease biology and the development of precise disease models.

Expert opinion: Full understanding and faithful modeling of specific cardiovascular disease is a rate-limiting step for cardiovascular drug discovery. The resurgence of in vivo phenotype screening together with the advancement of systems biology approaches allows for the identification of lead compounds which show efficacy on integrative disease biology in the absence of validated targets. This strategy bypasses current gaps in knowledge of disease biology and paves the way for successful drug discovery and downstream molecular target identification.     

肾虚证动物模型研究进展

肾虚证动物模型一直是中医证候研究的重点,提供与人类疾病类似的肾虚证动物模型,有助于深入研究肾虚证本质及其治疗。近年来建立了不少肾虚证动物模型,然而不同的肾虚证模型特点也不尽相同。对临床常见肾虚证型,从肾阳虚、肾阴虚、肾精不足、肾气虚方面进行概述,并对其存在的不足进行思考,以期为肾虚证动物模型的构建及其证候生物学机制研究提供新思路。     

Improving IMDC Prognostic Prediction Through Evaluation of Initial Site of Metastasis in Patients With Metastatic Renal Cell Carcinoma

BackgroundSeveral models are adopted in clinical practice to estimate prognosis of patients with metastatic renal cell carcinoma (mRCC); however, none of these models have evaluated patients treated by immune-checkpoint inhibitors. The aim of this study was to investigate if the site of initial metastasis could be a parameter able to stratified prognosis among patients with mRCC among different risk groups defined by the International Metastatic Renal Cell Database Consortium (IMDC) model. The site of initial metastasis was defined as the primary tissue or organ in which metastasis was diagnosed in the course of the medical history of the disease.Patients and MethodsA total of 134 patients treated between January 2010 and December 2018 in our institution were retrospectively evaluated. The primary outcome was overall survival (OS) defined as the time from initiation of first-line therapy to death from any cause. Of note, 26 (19.4%) patients received immune-checkpoint inhibitors. Univariable analysis was performed through the log-rank test to estimate the effect of number of metastatic sites and site of initial metastasis on OS. Subsequently, a Cox regression proportional hazards model was employed in multivariable analysis.ResultsOf the 12 variables analyzed, 4 were statistically associated to worse OS in univariable analysis (number of metastases and liver, bone, or central nervous system metastases). Multivariate analysis confirmed that bone (hazard ratio [HR], 1.92; 95% confidence interval [CI], 1.17-3.13), liver (HR, 2.65; 95% CI, 1.59-4.42), and central nervous system (HR, 3.3; 95% CI, 1.62-6.74) initial metastases were independent parameters related to worse OS. The presence of 1 or more of the selected sites recognized specific populations of patients associated to worse prognosis in both good (P = .003) and intermediate (P = .047) risk groups.ConclusionThe site of initial metastasis defines specific populations of patients associated with worse prognosis in the good and intermediate IMDC groups.     

DHF-BAHPC molecule exerts ameliorative antioxidant status and reduced cadmium-induced toxicity in zebrafish (Danio rerio) embryos

In this study, we report the antioxidant and antitoxic potential of chemically synthesized 4-oxo-2-phenyl-4H-chromene-7,8-diyl bis((1-amino-2-hydroxypropyl)carbamate) (DHF-BAHPC) compound using in vitro and in vivo assays. The DHF-BAHPC was synthesized by linking 7,8-Dihydroxyflavone (DHF) with two molecules of Fmoc-threonine and characterized by Ultraviolet-visible spectroscopy (UV–vis), Fourier-transform infrared spectroscopy (FT-IR), ¹H NMR, ¹³C NMR and Mass spectrometry (MS). In vitro, antioxidant assay results revealed that DHF-BAHPC has a dose-dependent radical scavenging potential towards DPPH, ABTS, FRAP and H₂O₂ radicals with an IC₅₀ range of 15.45, 66.27, 25.71, 4.375 μg/mL, respectively. Furthermore DHF-BAHPC treatment significantly altered cadmium (Cd) intoxicated zebrafish embryos by rescuing the developmental changes associated with severe histological and reduced the level of defensive antioxidant activities (SOD, CAT, GPx and GST). The overall results of the present study represented that DHF-BAHPC may be used as a potential drug in redox-based therapeutics.