Circulating Angiogenic and Senescent T Lymphocytes in Ageing and Frailty.

BACKGROUND: There is a need to identify vascular and geroscience-relevant markers and mediators that can physiologically link ageing to vascular disease. There is evidence of specific T cell subsets, all influenced by age, that exert positive and negative effects on vascular health. CD31+, termed angiogenic T cells, have been linked to vascular repair whereas CD28null, termed senescent T cells, display pro-inflammatory and cytotoxic effector functions. OBJECTIVE: This study sought to determine the combined influence of increasing age and frailty status on these circulating CD31+ and CD28null T cell subsets. METHODS: This cross-sectional study recruited four different cohorts of men and women; young (20-30 years, n=22), older (65-75 years, n=17), robust non-frail (76+ years, n=17), and frail (76+ years, n=15) adults. Frailty was determined using the Fried Frailty method. T cell subsets were determined by whole blood flow cytometry based on the expression of CD3, CD4, CD8, CD31 and CD28. Cognitive impairment (CI) was measured via the Montreal Cognitive Assessment test. RESULTS: Whether expressed as circulating counts or as a % of total T cells, there was a progressive decrease (p<0.05) in CD31+ T cells with increasing age but paradoxically higher values (p<0.05) in the frail compared to the robust non-frail group. These changes were similar in the CD4+ and CD8+ fractions. CD28null T cells were considerably higher (p<0.05) in the frail compared to the robust non-frail group, including in the CD8+ (47% vs 29%, p<0.05) and CD4+ (4% vs 1%, p<0.05) fractions. CD28null T cell percentage was also higher (p<0.05) in those with moderate CI compared to mild CI and normal function. CONCLUSION: CD8+CD28null T cells are considerably elevated in frailty and with cognitive impairment and may serve as a useful target for intervention. Currently, the utility of CD31+ T cells as an ageing biomarker may be confined to healthy ageing cohorts.

Management of type 2 diabetes in New Zealand: a scoping review of interventions with measurable clinical outcomes.

OBJECTIVE: This review aimed to assess the effectiveness of interventions for type 2 diabetes (T2D) management in New Zealand on clinical outcomes, and explore the factors impacting their feasibility and acceptability. STUDY DESIGN: Scoping review. METHODS: Three databases (PubMed, Web of Science and Scopus) were searched between January 2000 and July 2023. Reference lists of included studies were hand searched to identify additional articles. RESULTS: The search yielded 550 publications, of which 11 were included in the final review. Most interventions (n = 10) focussed on education and seven were delivered by health professionals. Supporting factors for interventions included clinical/peer support (n = 8) and whanau (family) involvement (n = 6). Hindering factors included non-adherence (n = 4) and high drop-out (n = 4). Most studies reported modest improvement in HbA1c and weight at six months, but minimal change in HbA1c, weight, lipids, renal profile, and blood pressure by two years. CONCLUSION: Future interventions should involve culturally appropriate approaches to improve engagement and acceptability while addressing lifestyle and medication adherence for T2D management. T2D interventions not widely disseminated via academic channels need to be further identified.

Description of serum symmetric dimethylarginine concentration and of urinary SDS-AGE pattern in dogs with ACTH dependent hyperadrenocorticism.

Serum symmetric dimethylarginine (SDMA) and patterns of urinary protein separated by sodium dodecyl sulfate agarose gel electrophoresis (SDS-AGE) have not been investigated as biomarkers in dogs with ACTH-dependent hyperadrenocorticism (ADHAC). This exploratory prospective study aimed to evaluate SDMA, serum creatinine (sCR), and SDS-AGE in dogs with ADHAC with and without proteinuria (ADHAC-P and ADHAC-nP, respectively). Thirty-five pet dogs classified as ADHAC-P (n=16), ADHAC-nP (n=6) and healthy (n=13) were included. Renal biomarkers were evaluated in all dogs at diagnosis. Baseline concentration of SDMA was not significantly different between the three groups (P = 0.15) whereas sCr was significantly lower in dogs in ADHAC dogs compared to healthy dogs (88.0 µmol/L [70.4-132.6; 79.2-114.4]) whether they had proteinuria or not (P = 0.014 and 0.002, respectively). However, baseline concentrations of sCr and SDMA were not significantly different between dogs with ADHAC-P dogs (SDMA, 8 µg/dL [5-12; 7-9]; sCr, 57.2 µmol/L [35.2-212.2; 52.8-92.4]) and ADHAC-nP dogs (SDMA, 8.5 µg/dL [7-13; 8-10]; sCr, 70.4 µmol/L [61.6-79.2; 61.6-70.4]) (P = 0.35 and P = 0.41, respectively). Proteinuria in dogs with ADHAC-P was mainly of glomerular origin (SDS-AGE pattern: glomerular in 10/16 dogs; mixed glomerular/tubular in four dogs). In our study, SDMA was neither significantly different in dogs with ADHAC whether they were proteinuric or not, nor between ADHAC and healthy dogs. Urinary electrophoresis provides additional information to the UPC and further investigations are needed to determine whether it may help identify dogs with ADHAC-P requiring specific antiproteinuric treatment.