The formation of adipocytes during embryogenesis has been largely understudied. However, preadipocytes appear to originate from multipotent mesenchymal stromal/stem cells which migrate from the mesoderm to their anatomical localization. Most studies on adipocyte formation (adipogenesis) have used preadipocytes derived from adult stem/stromal cells. Adipogenesis consists of two phases, namely commitment and terminal differentiation. This review discusses the role of signalling pathways, epigenetic modifiers, and transcription factors in preadipocyte commitment and differentiation into mature adipocytes, as well as limitations in our understanding of these processes. To date, a limited number of transcription factors, genes and signalling pathways have been described to regulate preadipocyte commitment. One reason could be that most studies on adipogenesis have used preadipocytes already committed to the adipogenic lineage, which are therefore not suitable for studying preadipocyte commitment. Conversely, over a dozen molecular players including transcription factors, genes, signalling pathways, epigenetic regulators, and microRNAs have been described to be involved in the differentiation of preadipocytes to adipocytes; however, only peroxisome proliferator-activated receptor gamma has proven to be clinically relevant. A detailed understanding of how the molecular players underpinning adipogenesis relate to adipose tissue function could provide new therapeutic approaches for addressing obesity without compromising adipose tissue function.

Background: The biopharmaceutical industry is challenged with efficiently delivering medicines that patients truly value. This can be addressed by engaging patients and caregivers throughout a medicine’s life cycle, ensuring that products meet the needs and expectations of those who take them. While isolated best practice examples of patient engagement exist, they remain relatively ad hoc and not fully embedded within Research & Development (R&D) practices. To encourage more patient engagement, the ‘impact’ of patient engagement projects (PEP) must be objectively measured and demonstrated. Some frameworks have been proposed; however, there is no evidence of widespread adoption, nor have patients’ perspectives been robustly explored. The objective of this qualitative study was therefore to understand patients’ perspectives of impact measurement that can be systematically applied within a biopharmaceutical company. Methods: Semi-structured interviews were conducted with 13 patient organisation (PO) representatives exploring their experiences of engagement and reflections on 23 candidate patient engagement impact measures categorised into five groups: Medicines R&D Priorities; Clinical Trial Design; Regulatory & Market Access Submissions; Product Support & Information; and Disease Support & Information. Thematic analysis was undertaken and impact measures revised in line with interview participant feedback. Emerging themes and revisions to impact measures were validated at a joint workshop with 4 patient advisors representing 4 POs. Results: The study revealed that PO representatives feel a deep sense of accomplishment and ownership when collaborating on PEPs with biopharmaceutical companies. They largely conceptualise ‘impact’ as positive, tangible and useful outcomes. The revisions made to the pre-defined patient engagement impact measures fell into three broad categories: (1) a requirement for greater context; (2) capturing the nature of patient influence; and (3) terminology changes. The greatest number of revisions concerned ‘requiring greater context’, for example, including additional descriptions, patient quotes, and satisfaction. Conclusions: This study sheds light on how patient advocates view ‘impact’. Typically this means delivering ‘value’ important for them. Therefore, the authors of this paper created the term ‘value-impact’ to comprehensively characterise this conceptualisation, and propose a value-impact measurement plan, incorporating longitudinal data. Through this understanding and in light of other recently published work, wide-scale adoption and implementation of the measurement of value-impact across the biopharmaceutical industry can be realised.

Outcomes in renal cell carcinoma (RCC) are reported inconsistently, with variability in definitions and measurement. Hence, it is difficult to compare intervention effectiveness and synthesise outcomes for systematic reviews and to create clinical practice guidelines. This uncertainty in the evidence makes it difficult to guide patient-clinician decision-making. One solution is a core outcome set (COS): an agreed minimum set of outcomes. To describe outcome reporting, definitions, and measurement heterogeneity as the first stage in co-creating a COS for localised renal cancer. We systematically reviewed outcome reporting heterogeneity in effectiveness trials and observational studies in localised RCC. In total, 2822 studies (randomised controlled trials, cohort studies, case-control studies, systematic reviews) up to June 2020 meeting our inclusion criteria were identified. Abstracts and full texts were screened independently by two reviewers; in cases of disagreement, a third reviewer arbitrated. Data extractions were double-checked. We included 149 studies and found that there was inconsistency in which outcomes were reported across studies and variability in the definitions used for outcomes that were conceptually the same. We structured our analysis using the outcome classification taxonomy proposed by Dodd et al. Outcomes linked to adverse events (eg, bleeding, outcomes linked to surgery) and renal injury outcomes (reduced renal function) were reported most commonly. Outcomes related to deaths from any cause and from cancer were reported in 44% and 25% of studies, respectively, although the time point for measurement and the analysis methods were inconsistent. Outcomes linked to life impact (eg, global quality of life) were reported least often. Clinician-reported outcomes are more frequently reported than patient-reported outcomes in the renal cancer literature. This systematic review underscores the heterogeneity of outcome reporting, definitions, and measurement in research on localised renal cancer. It catalogues the variety of outcomes and serves as a first step towards the development of a COS for localised renal cancer. We reviewed studies on localised kidney cancer and found that multiple terms and definitions have been used to describe outcomes. These are not defined consistently, and often not defined at all. Our review is the first phase in developing a core outcome set to allow better comparisons of studies to improve medical care.

The SARS-CoV-2 virus is responsible for the COVID-19 global public health emergency, and the disease it causes is highly variable in its clinical presentation. Clinical phenotypes are heterogeneous both in terms of presentation of symptoms in the host and response to therapy. Several studies and initiatives have been established to analyse and review host genetic epidemiology associated with COVID-19. Our research group curated these articles into a web-based database using the python application-server framework Django. The database provides a searchable research tool describing current literature surrounding COVID-19 host genetic factors associated with disease outcome. This paper describes the COHG-SA database and provides an overview of the analyses that can be derived from these data.

The obesity pandemic is listed as a chronic disease by the World Health Organization, and is underpinned by an increase in fat cell formation (adipogenesis). This study aims to develop high-throughput screening assays (flow cytometry, spectrophotometry and RT-qPCR) for cost-effective and rapid monitoring of adipogenesis using a human adipose-derived stem cell differentiation model. Adipogenesis was successfully upscaled from 6- to 96-well plates. We found that the most efficient well size differs between the assays investigated. Adipogenic differentiation could best be assessed in a 48-well plate (flow cytometry and spectrophotometry), while a 12-well plate was more efficient for obtaining reliable RT-qPCR results. The cost associated with hypothetically screening 100 compounds (in a high-throughput setting) using the method with the lowest degree of variability and the highest degree of cost-effectiveness was spectrophotometry (48-well plate), followed by flow cytometry (48-well plate) and RT-qPCR (12-well plate). This study provides valuable information for designing and selecting the most efficient high-throughput adipogenesis assays to screen for potential drug candidates in the continuous search of novel and more effective pharmacological agents to combatting obesity and its related comorbidities.