Publications by authors named "S Haworth"

Molecular characterization of the oral microbiome is a crucial first step in experiments which aim to understand the complex dynamics of the oral microbiome or the interplay with host health and disease. Third-generation Oxford Nanopore Technology (ONT) offers advanced long-read sequencing capabilities, which hold promise for improved molecular characterization by distinguishing closely related microbial species within oral ecosystems in health and disease states. However, the performance of ONT sequencing of oral samples requires validation, and the consistency of this approach across different analytical and sampling conditions is not well understood.

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Objectives: The objectives were to: (i) assess the accuracy of dental data for adults obtained from the Swedish Quality Register on Caries and Periodontitis (SKaPa); (ii) explore whether Latent Class Analysis (LCA) can identify groups of people based on caries data; and (iii) characterise the dental, medical and behavioural characteristics of people in the LCA-derived classes.

Methods: Caries data from the SKaPa register were compared with clinical data collected by five experienced dentists in a nested subgroup of the Malmö Offspring Study (MOS), namely the Malmö Offspring Dental Study (MODS) (n = 724) for validation. Dental data from SKaPa were then used to classify 61 984 adult participants of the Västerbotten Intervention Programme (VIP) into five classes using LCA and DMFS-based quintile ranking, respectively.

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Mendelian randomization (MR) is a flexible analytical tool that has been widely applied to strengthen causal inference in observational epidemiology and is now gaining attention in many areas including periodontal research. The interpretation of results drawn from MR is based on a series of assumptions, which can be unrealistic or difficult to meet faithfully in some settings. However, we argue that with care, this does not necessarily prevent valuable deployment of the approach.

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This paper systematically reviews how spatial analysis has been used to measure relationships between access to the built environment and Allostatic Load (AL) or biomarkers relevant to the stress pathway. Geographic Information Systems (GIS) facilitate objective measurement of built environment access that may explain unequal health outcomes linked to living in stressful environments. Systematic review, search date 13 July 2022 with methods published .

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Article Synopsis
  • * Neuroimaging reveals that many of these genetic variants have widespread effects on brain regions and are linked to various cancers and specific signaling pathways, such as p53 and Wnt.
  • * The findings suggest a connection between the genes that regulate head size and the likelihood of cancer, emphasizing the need for further research on the implications of this relationship.
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