πŸ‘€ Reinier W P Tack

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2
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2
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Also published as: Cees J Tack,
articles
Tamara N Kimball, Reinier W P Tack, Livia Parodi +13 more Β· 2026 Β· Annals of neurology Β· Wiley Β· added 2026-04-24
Evidence linking modifiable risk factors to age-related brain diseases, such as dementia, stroke, and depression (DSD), is robust, yet limited regarding long-term change in modifiable risk factors in Show more
Evidence linking modifiable risk factors to age-related brain diseases, such as dementia, stroke, and depression (DSD), is robust, yet limited regarding long-term change in modifiable risk factors in association with these conditions, particularly in real-world settings. This study aimed to assess whether longitudinal changes in modifiable brain health risk factors were associated with reduced risk of DSD. We analyzed UK Biobank data (2006-2019) from 155,469 participants with general practitioner-linked data. The Brain Care Score (BCS) assesses 12 modifiable risk factors across lifestyle, physical, and social-emotional domains. Longitudinal BCS measurements were derived from repeated general practitioner (GP)-recorded measurements. Changes in the BCS were modeled using linear mixed-effects models, and associations with DSD were evaluated using multivariable Cox models, adjusting for baseline BCS and genetic risk (polygenic risk scores for stroke and depression, and APOE genotype for dementia). Among 155,469 participants (median age = 51 years, 54.3% women), the median annual BCS change was 0.14 (Q1-Q3 = 0.008-0.30) points over a median follow-up of 12.3 years (Q1-Q3 = 11.5-13.1 years). Over time, 82.1% improved their BCS, 12.9% remained stable, and 5.0% worsened over time. Each 1-point annual increase in the BCS was associated with 4% lower risk of incident age-related brain diseases (hazard ratio [HR] = 0.96, 95% confidence interval [CI] = 0.95-0.97). In this large real-world cohort, improvements in modifiable risk factor profiles were associated with lower incidence of DSD, regardless of genetic risk or baseline BCS. Our results provide important information for communicating with patients about the brain health benefits of improving risk factor profiles. ANN NEUROL 2026;99:1113-1123. Show less
no PDF DOI: 10.1002/ana.78145
APOE
Julia I P van Heck, Mandala Ajie, Leo A B Joosten +2 more Β· 2025 Β· Diabetes, obesity & metabolism Β· Blackwell Publishing Β· added 2026-04-24
The presence of low-grade inflammation has been reported in people with type 2 diabetes and related to the development of (macro)vascular complications. Whether systemic inflammation is present in typ Show more
The presence of low-grade inflammation has been reported in people with type 2 diabetes and related to the development of (macro)vascular complications. Whether systemic inflammation is present in type 1 diabetes and linked to long-term complications remains unknown. We used a targeted proteomics approach to compare inflammation in people with type 1 diabetes and type 2 diabetes with control subjects and linked these proteins to diabetes related characteristics and complications. We included 233 participants with type 1 diabetes, 387 participants with type 2 diabetes and 150 healthy controls. Plasma was collected and used to determine high sensitive C-reactive proteins (hs-CRP) and an additional 92 inflammatory proteins using the Olink proteomics platform. Compared to healthy controls, 41 circulating inflammatory proteins were higher in type 1 diabetes (FDR < 0.05) and 64 inflammatory proteins in type 2 diabetes (FDR < 0.05) (including CXCL5, IL-15RA, MCP-4 and AXIN1 for both groups). HbA Both type 1 diabetes and type 2 diabetes are associated with increased circulating inflammatory protein concentrations, but the increase is more pronounced in type 2 diabetes. These results suggest both differences in drivers of inflammation between type 1 diabetes and type 2 diabetes as well as potential similarities in pathways involved in the development of diabetes-associated complications. Show less
πŸ“„ PDF DOI: 10.1111/dom.16066
AXIN1