Different glycaemia‐related risk factors for incident Alzheimer's disease in men and women with type 2 diabetes—A sex‐specific analysis of the Hong Kong diabetes database

Author(s):  
Chi‐Ho Lee ◽  
David T. W. Lui ◽  
Chloe Y. Y. Cheung ◽  
Yu‐Cho Woo ◽  
Carol H. Y. Fong ◽  
...  
2011 ◽  
Vol 7 ◽  
pp. e28-e29
Author(s):  
Petroula Proitsi ◽  
Michelle Lupton ◽  
Magda Tsolaki ◽  
Makrina Daniilidou ◽  
Hilkka Soininen ◽  
...  

2017 ◽  
Vol 61 (1) ◽  
pp. 425-434 ◽  
Author(s):  
Val Andrew Fajardo ◽  
Val Andrei Fajardo ◽  
Paul J. LeBlanc ◽  
Rebecca E.K. MacPherson

Background: Alzheimer’s disease (AD) mortality rates have steadily increased over time. Lithium, the current gold standard treatment for bipolar disorder, can exert neuroprotective effects against AD. Objective: We examined the relationship between trace levels of lithium in drinking water and changes in AD mortality across several Texas counties. Methods: 6,180 water samples from public wells since 2007 were obtained and averaged for 234 of 254 Texas counties. Changes in AD mortality rates were calculated by subtracting aggregated age-adjusted mortality rates obtained between 2000–2006 from those obtained between 2009–2015. Using aggregated rates maximized the number of counties with reliable mortality data. Correlational analyses between average lithium concentrations and changes in AD mortality were performed while also adjusting for gender, race, education, rural living, air pollution, physical inactivity, obesity, and type 2 diabetes. Results: Age-adjusted AD mortality rate was significantly increased over time (+27%, p < 0.001). Changes in AD mortality were negatively correlated with trace lithium levels (p = 0.01, r = –0.20), and statistical significance was maintained after controlling for most risk factors except for physical inactivity, obesity, and type 2 diabetes. Furthermore, the prevalence of obesity and type 2 diabetes positively correlated with changes in AD mortality (p = 0.01 and 0.03, respectively), but also negatively correlated with trace lithium in drinking water (p = 0.05 and <0.0001, respectively). Conclusion: Trace lithium in water is negatively linked with changes in AD mortality, as well as obesity and type 2 diabetes, which are important risk factors for AD.


2020 ◽  
Vol 16 ◽  
Author(s):  
Nataly Guzmán-Herrera ◽  
Viridiana C. Pérez-Nájera ◽  
Luis A. Salazar-Olivo

Background: Numerous studies have shown a significant association between type 2 diabetes mellitus (T2D) and Alzheimer's disease (AD), two pathologies affecting millions of people worldwide. Chronic inflammation and oxidative stress are two conditions common to these diseases also affecting the activity of the serpin alpha-1-antichymotrypsin (ACT), but a possible common role for this serpin in T2D and AD remains unclear. Objective: To explore the possible regulatory networks linking ACT to T2D and AD. Materials and Methods: A bibliographic search was carried out in PubMed, Med-line, Open-i, ScienceDirect, Scopus and SpringerLink for data indicating or suggesting association among T2D, AD, and ACT. Searched terms like “alpha-1-antichymotrypsin”, “type 2 diabetes”, “Alzheimer's disease”, “oxidative stress”, “pro-inflammatory mediators” among others were used. Moreover, common therapeutic strategies between T2D and AD as well as the use of ACT as a therapeutic target for both diseases were included. Results: ACT has been linked with development and maintenance of T2D and AD and studies suggest their participation through activation of inflammatory pathways and oxidative stress, mechanisms also associated with both diseases. Likewise, evidences indicate that diverse therapeutic approaches are common to both diseases. Conclusion: Inflammatory and oxidative stresses constitute a crossroad for T2D and AD where ACT could play an important role. In-depth research on ACT involvement in these two dysfunctions could generate new therapeutic strategies for T2D and AD.


Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1236
Author(s):  
Jesús Burillo ◽  
Patricia Marqués ◽  
Beatriz Jiménez ◽  
Carlos González-Blanco ◽  
Manuel Benito ◽  
...  

Type 2 diabetes mellitus is a progressive disease that is characterized by the appearance of insulin resistance. The term insulin resistance is very wide and could affect different proteins involved in insulin signaling, as well as other mechanisms. In this review, we have analyzed the main molecular mechanisms that could be involved in the connection between type 2 diabetes and neurodegeneration, in general, and more specifically with the appearance of Alzheimer’s disease. We have studied, in more detail, the different processes involved, such as inflammation, endoplasmic reticulum stress, autophagy, and mitochondrial dysfunction.


Author(s):  
Manel Ben Aissa ◽  
Cutler T. Lewandowski ◽  
Kiira M. Ratia ◽  
Sue H. Lee ◽  
Brian T. Layden ◽  
...  

2018 ◽  
Vol 56 (2) ◽  
pp. 833-843 ◽  
Author(s):  
Sudhanshu P. Raikwar ◽  
Sachin M. Bhagavan ◽  
Swathi Beladakere Ramaswamy ◽  
Ramasamy Thangavel ◽  
Iuliia Dubova ◽  
...  

2010 ◽  
Vol 56 (8) ◽  
pp. 1252-1260 ◽  
Author(s):  
Samia Mora ◽  
Pia R Kamstrup ◽  
Nader Rifai ◽  
Børge G Nordestgaard ◽  
Julie E Buring ◽  
...  

BACKGROUND Previous studies have demonstrated that cardiovascular risk is higher with increased lipoprotein(a) [Lp(a)]. Whether Lp(a) concentration is related to type 2 diabetes is unclear. METHODS In 26 746 healthy US women (mean age 54.6 years), we prospectively examined baseline Lp(a) concentrations and incident type 2 diabetes (n = 1670) for a follow-up period of 13 years. We confirmed our findings in 9652 Danish men and women with prevalent diabetes (n = 419). Analyses were adjusted for risk factors that included age, race, smoking, hormone use, family history, blood pressure, body mass index, hemoglobin A1c (Hb A1c), C-reactive protein, and lipids. RESULTS Lp(a) was inversely associated with incident diabetes, with fully adjusted hazard ratios (HRs) and 95% CIs for quintiles 2–5 vs quintile 1 of 0.87 (0.75–1.01), 0.80 (0.68–0.93), 0.88 (0.76–1.02), and 0.78 (0.67–0.91); P for trend 0.002. The association was stronger in nonfasting women, for whom respective HRs were 0.79 (0.58–1.09), 0.78 (0.57–1.08), 0.66 (0.46–0.93), and 0.56 (0.40–0.80); P for trend 0.001; P for interaction with fasting status 0.002. When we used Lp(a) ≥10 mg/L and Hb A1c &lt;5% as reference values, the adjusted HRs were 1.62 (0.91–2.89) for Lp(a) &lt;10 mg/L and Hb A1c &lt;5%, 3.50 (3.06–4.01) for Lp(a)≥10 mg/L and Hb A1c 5%–&lt;6.5%, and 5.36 (4.00–7.19) for Lp(a) &lt;10 mg/L and Hb A1c 5%–&lt;6.5%. Results were similar in nonfasting Danish men and women, for whom adjusted odds ratios were 0.75 (0.55–1.03), 0.64 (0.46–0.88), 0.74 (0.54–1.01), and 0.58 (0.42–0.79) for Lp(a) quintiles 2–5 vs quintile 1; P for trend 0.002. CONCLUSIONS Our results indicated that Lp(a) was associated inversely with risk of type 2 diabetes independently of risk factors, in contrast to prior findings of positive associations of Lp(a) with cardiovascular risk.


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