Implementation of Good Laboratory Practices (GLP) in basic scientific research: Translating the concept beyond regulatory compliance

Molecular Modeling, Synthesis, and Antihyperglycemic Activity of the New Benzimidazole Derivatives - Imidazoline Receptor Agonists

Introduction

The paper presents the results of a study on the first synthesized benzimidazole derivatives obtained from labile nature carboxylic acids. The synthesis conditions of these substances were studied, their structure was proved, and some components were found to have sugar-reducing activity on the model of alloxan diabetes in rats.

Methods

The study used molecular modeling methods such as docking based on the evolutionary model (igemdock), RP_HPLC method to monitor the synthesis reaction, and 1H NMR and 13C NMR, and other methods of organic chemistry to confirm the structures of synthesized substances.

Results & Discussion

The docking showed that the ursodeoxycholic acid benzimidazole derivatives have high tropics to all imidazoline receptor carriers (PDB ID: 2XCG, 2bk3, 3p0c, 1QH4). The ursodeoxycholic acid benzimidazole derivative and arginine and histidine benzimidazole derivatives showed the highest sugar-lowering activity in the experiment on alloxan-diabetic rats. For these derivatives, the difference in glucose levels of treated rats was significant against untreated control. Therefore, the new derivatives of benzimidazole and labile natural organic acids can be used to create new classes of imidazoline receptor inhibitors for the treatment of diabetes mellitus and hypertension.

Nonclinical safety assessment and immunogenicity of rVSVInd(GML)-mspSGtc vaccine for SARS-CoV-2 in rabbits

The worldwide health, economic, and societal consequences of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic have been devastating. The primary strategy to prevent new infectious diseases is to vaccinate the majority of people worldwide. However, the significant hurdles that are faced include vaccine safety concerns and vaccine reluctance. Among the various types of vaccines, the recombinant vesicular stomatitis virus (rVSV) is a promising candidate owing to its safety and efficacy. Therefore, we investigated the toxicity, immunogenicity, and local tolerance of the rVSVInd(GML)-mspSGtc vaccine against SARS-CoV-2. New Zealand White (NZW) rabbits were administered single or three repeated intramuscular injections of rVSVInd(GML)-mspSGtc every 2 weeks, followed by a 4-week recovery period. Male and female rabbits were randomly assigned into three groups: a control group and two dose-level groups (1 × 109 and 4 × 109 PFU/mL). Treatment-related changes included a temporary increase in body temperature and local inflammation at the injection site. These findings indicated recovery or a trend toward recovery, with no overt systemic toxicity. Immunogenicity analysis results suggested that rVSVInd(GML)-mspSGtc elicited a robust dose-dependent immune response in terms of neutralizing antibodies and IgG antibodies against the SARS-CoV-2 spike protein. In addition, the immune response intensity was increased by repeated vaccine administration. In conclusion, both the approximate lethal dose and the no observed adverse effect level for rVSVInd(GML)-mspSGtc exceeded 4 × 109 PFU/mL in NZW rabbits. Overall, rVSVInd(GML)-mspSGtc induced no adverse effects at the maximum dosage tested; however, its efficacy warrants further clinical evaluation.

A Beginner's Guide to Cell Culture: Practical Advice for Preventing Needless Problems

The cultivation of cells in a favorable artificial environment has become a versatile tool in cellular and molecular biology. Cultured primary cells and continuous cell lines are indispensable in investigations of basic, biomedical, and translation research. However, despite their important role, cell lines are frequently misidentified or contaminated by other cells, bacteria, fungi, yeast, viruses, or chemicals. In addition, handling and manipulating of cells is associated with specific biological and chemical hazards requiring special safeguards such as biosafety cabinets, enclosed containers, and other specialized protective equipment to minimize the risk of exposure to hazardous materials and to guarantee aseptic work conditions. This review provides a brief introduction about the most common problems encountered in cell culture laboratories and some guidelines on preventing or tackling respective problems.

The Issue of Reliability and Repeatability of Analytical Measurement in Industrial and Academic Nanomedicine

The issue of reliability and repeatability of data in the nanomedicine literature is a growing concern among stakeholders. This perspective discusses the key differences between academia and industry in the reproducibility of data acquisition and protocols in the field of nanomedicine. We also discuss what academic researchers can learn from systems implemented in industry to standardize data acquisition and in which ways these can be efficiently adopted by the academic community.

Visually guided preprocessing of bioanalytical laboratory data using an interactive R notebook (pguIMP)

The evaluation of pharmacological data using machine learning requires high data quality. Therefore, data preprocessing, that is, cleaning analytical laboratory errors, replacing missing values or outliers, and transforming data adequately before actual data analysis, is crucial. Because current tools available for this purpose often require programming skills, preprocessing tools with graphical user interfaces that can be used interactively are needed. In collaboration between data scientists and experts in bioanalytical diagnostics, a graphical software package for data preprocessing called pguIMP is proposed, which contains a fixed sequence of preprocessing steps to enable reproducible interactive data preprocessing. As an R-based package, it also allows direct integration into this data science environment without requiring any programming knowledge. The implementation of contemporary data processing methods, including machine-learning-based imputation techniques, ensures the generation of corrected and cleaned bioanalytical data sets that preserve data structures such as clusters better than is possible with classical methods. This was evaluated on bioanalytical data sets from lipidomics and drug research using k-nearest-neighbors-based imputation followed by k-means clustering and density-based spatial clustering of applications with noise. The R package provides a Shiny-based web interface designed to be easy to use for non-data analysis experts. It is demonstrated that the spectrum of methods provided is suitable as a standard pipeline for preprocessing bioanalytical data in biomedical research domains. The R package pguIMP is freely available at the comprehensive R archive network (https://cran.r-project.org/web/packages/pguIMP/index.html).

The lab management practices of "Research Exemplars" that foster research rigor and regulatory compliance: A qualitative study of successful principal investigators

INTRODUCTION

Conducting rigorous scientific inquiry within the bounds of research regulation and acceptable practice requires a principal investigator to lead and manage research processes and personnel. This study explores the practices used by investigators nominated as exemplars of research excellence and integrity to produce rigorous, reproducible research and comply with research regulations.

METHODS

Using a qualitative research design, we interviewed 52 principal investigators working in the United States at top research universities and the National Institutes of Health Intramural Research Program. We solicited nominations of researchers meeting two criteria: (1) they are federally-funded researchers doing high-quality, high-impact research, and (2) have reputations for professionalism and integrity. Each investigator received an initial nomination addressing both criteria and at least one additional endorsement corroborating criteria 2. A panel of researchers and our research team reviewed the nominations to select finalists who were invited to participate. The cohort of "Research Exemplars" includes highly accomplished researchers in diverse scientific disciplines. The semi-structured interview questions asked them to describe the routine practices they employ to foster rigor and regulatory compliance. We used inductive thematic analysis to identify common practices.

RESULTS

The exemplars identified a core set of 8 practices and provided strategies for employing them. The practices included holding regular team meetings, encouraging shared ownership, providing supervision, ensuring adequate training, fostering positive attitudes about compliance, scrutinizing data and findings, and following standard operating procedures. Above all, the use of these practices aim to create a psychologically safe work environment in which lab members openly collaborate to scrutinize their work and share in accountability for rigorous, compliant research.

CONCLUSIONS

Researchers typically receive limited systematic training in how to lead and manage their research teams. Training and education for principal investigators should include essential leadership and management practices and strategies that support doing high-quality research with integrity.

Good Laboratory Practice in the Academic Setting: Fundamental Principles for Nonclinical Safety Assessment and GLP-Compliant Pathology Support When Developing Innovative Biomedical Products

Development of new biomedical products necessitates nonclinical safety assessment in animals as a means of assessing potential risk to human patients. Pivotal nonclinical safety studies that support human clinical trials are performed according to Good Laboratory Practice (GLP) guidelines, which are designed to ensure that the study was conducted under carefully controlled conditions using standardized and validated procedures that will yield a reliable, reproducible, and traceable data set. The GLP guidelines established by different regulatory agencies address organizational structure, personnel responsibilities, personnel training practices, quality assurance (ensuring compliance), facilities, equipment, standard operating procedures, study documentation (record keeping), and record and sample retention. Academic institutions engaging in nonclinical safety assessment on-site have multiple options for implementing a GLP quality system. This article outlines the rationale supporting the use of a GLP-compliant or GLP-like quality system in academia and reviews key concepts needed to efficiently and effectively implement GLP in the academic setting. Emphasis is given to provision of GLP-compliant pathology support as (1) pathology data are an essential component of GLP nonclinical safety testing, (2) familiarity with pathology-related GLP procedures typically is gained first outside the academic setting, and (3) microscopic pathology diagnoses and interpretations require special accommodations to ensure that they are undertaken in a GLP-compliant fashion.