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Article

The Association between Metformin Use and Risk of Developing Severe Dementia among AD Patients with Type 2 Diabetes

by
Ying Xue
1,2,3,* and
Xiangqun Xie
2,3,*
1
Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15261, USA
2
Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, Pharmacometrics & System Pharmacology (PSP) PharmacoAnalytics, School of Pharmacy, Pittsburgh, PA 15261, USA
3
National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA 15261, USA
*
Authors to whom correspondence should be addressed.
Biomedicines 2023, 11(11), 2935; https://doi.org/10.3390/biomedicines11112935
Submission received: 16 August 2023 / Revised: 12 October 2023 / Accepted: 13 October 2023 / Published: 30 October 2023
(This article belongs to the Section Neurobiology and Clinical Neuroscience)
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Abstract

:
This study explores the potential impact of metformin on the development of severe dementia in individuals with Alzheimer’s disease (AD) and type 2 diabetes mellitus (T2DM). With an emerging interest in the role of the APOE genotype in mediating metformin’s effects on cognitive decline in AD patients, we sought to investigate whether metformin usage is associated with a reduced risk of severe dementia. Using data from the National Alzheimer’s Coordinating Center (NACC) database (2005–2021), we identified 1306 participants with both AD and T2DM on diabetes medications. These individuals were categorized based on metformin usage, and a propensity score-matched cohort of 1042 participants was analyzed. Over an average follow-up of 3.6 years, 93 cases of severe dementia were observed. A Kaplan–Meier analysis revealed that metformin users and non-users had similar probabilities of remaining severe dementia-free (log-rank p = 0.56). Cox proportional hazards models adjusted for covariates showed no significant association between metformin usage and a lower risk of severe dementia (HR, 0.96; 95% CI, 0.63–1.46; p = 0.85). A subgroup analysis based on APOE ε4 carrier status demonstrated consistent results, with metformin use not correlating with a reduced severe dementia risk. In conclusion, our findings from a substantial cohort of AD and T2DM patients suggest that metformin usage is not significantly associated with a decreased risk of severe dementia. This observation persists across APOE ε4 carriers and non-carriers, indicating a lack of genotype-mediated effect.

Graphical Abstract

1. Introduction

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by memory loss, cognitive decline, and the impairment of daily functioning. It is the most common cause of dementia among older adults, affecting 47 million people worldwide [1]. Diabetes mellitus (DM) is a metabolic disorder marked by persistent hyperglycemia, stemming from various mechanisms that result in insufficient insulin production by the pancreas or the body’s cells becoming unresponsive to the hormone’s regulatory effects [2]. Type 2 diabetes mellitus (T2DM) accounts for over 90% of all diabetes cases in individuals [3]. Increasing evidence has suggested that diabetes might elevate an individual’s susceptibility to AD. A population-based study revealed that incidence of AD was approximately 2 in 1000 individuals for those without diabetes. However, for individuals with diabetes, the rate notably increased to 6.25 cases per 1000 people [4].
Numerous studies have shown that individuals with T2DM often exhibit worse cognitive performance when compared to their non-diabetic counterparts [5,6,7]. These findings indicate a potential association between T2DM and cognitive decline, which could be relevant to the development of AD. The association between AD and T2DM goes beyond the observation of cognitive impairments. Shared pathophysiological mechanisms underlie both conditions, such as insulin resistance and dysregulation of glucose metabolism [8,9,10]. Insulin resistance is a hallmark feature of T2DM, and it also affects the brain, disrupting insulin signaling and glucose uptake in neurons. This leads to reduced brain energy metabolism, which may contribute to the neuronal dysfunction and cognitive decline observed in both T2DM and AD.
Given the link between AD and T2DM, there is an ever-growing interest within the scientific community to delve deeper into understanding the potential impact of antidiabetic medications on AD outcomes and cognitive performance in patients with AD [11]. This intrigue is driven by emerging evidence suggesting that specific antidiabetic agents, such as metformin, might hold promise in mitigating the risk of AD development [12,13]. Notably, metformin, a widely used antidiabetic medication, has demonstrated its capability to enhance insulin sensitivity and reduce inflammation, properties that could potentially confer substantial benefits for overall brain health. However, it is important to acknowledge that the bulk of prior research has predominantly centered around examining the associations between metformin usage and dementia risk in individuals with T2DM who exhibit normal cognitive function [14,15,16]. Regrettably, few studies have evaluated the relationship between metformin use and cognitive outcomes among people with diabetes who also have a diagnosis of AD. This knowledge gap underscores the significance of further investigation into the association between antidiabetic drug use and cognitive progression among AD patients.
Apolipoprotein E (APOE) is a critical protein in the human body involved in lipid transport and supporting brain injury repair. The APOE gene polymorphisms are the primary genetic determinants of AD risk, with individuals carrying the ε4 allele being at a higher risk compared to those with the more common ε3 allele, while the ε2 allele is associated with a reduced risk [17,18]. Moreover, the presence of the APOE ε4 allele is also linked to an increased risk of cerebral amyloid angiopathy and an age-related cognitive decline during normal aging. A recent study suggested an association between metformin use and faster decline in delayed memory among the APOE ε4 carriers [19]. The findings point to more research being needed to investigate whether the therapeutic effects of metformin are influenced by the APOE ε4 genotype.
Considering the scarce research available on the impact of metformin on cognitive progression among AD patients and the necessity to explore potential interactions with the APOE ε4 genotype, this study aims to investigate whether use of metformin is associated with a decreased risk of developing severe dementia in patients with AD and T2DM. Furthermore, this study seeks to examine whether the association between metformin use and cognitive outcomes is modified by the APOE ε4 genotype.

2. Methods

2.1. Data Source

The National Alzheimer’s Coordinating Center (NACC) was established in 1999 by the National Institute on Aging (NIA). The NACC database consists of data from more than 42 Alzheimer’s Disease Research Centers (ADRCs) throughout the United States. Data from different ADRCs are structured in a standardized manner to form a Uniform Data Set (UDS). Recruitment, participant evaluation, and diagnostic criteria were described previously [20]. Participants were followed annually using similar evaluations at each visit. Systematic information on demographics, diagnoses, family history, neuropsychological testing, and medical history were provided by NACC-UDS. Informed consent was given by all participants and co-participants.

2.2. Subject Selection/Study Population

Participants who met the National Institute on Aging-Alzheimer’s Association (NIA-AA) or National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer’s Disease and Related Disorders Association (NINCDS/ADRDA) criteria for AD [21,22] were identified. Participants diagnosed with diabetes were included in the study. Participants who did not have either AD or diabetes were excluded. Subjects with type 1 diabetes, diabetes insipidus, gestational diabetes, or latent autoimmune diabetes were excluded. Participants were classified into either the metformin group or the non-metformin group based on their medical history recorded in the UDS.

2.3. Measures and Outcomes

Patients with a primary diagnosis of probable AD according to the NINCDS- ADRDA Alzheimer’s criteria [21] at the clinical visit were included in the study. Diabetes was reported based on a clinician assessment of the patient’s medical history at baseline. Information on diabetic treatment was extracted from the UDS Medication Form. Patients receiving metformin therapy were classified as the metformin group. Patients who receive other antidiabetic medications other than metformin were classified as the non-metformin group. Since we did not have information on medication exposure between visits, we assumed a patient was taking a medication over the entire time period if he/she was taking the medication at consecutive visits. Mini-mental state examination (MMSE) was used as the cognitive outcome. Baseline MMSE scores and follow-up MMSE scores were obtained from NACC data. Severe dementia was defined as MMSE score <10 during follow-up [23,24]. The presence of APOE ε3/ε4 or ε4/ε4 genotypes was classified as APOE ε4 carriers in this study. The APOE genotype is run independently by the Alzheimer’s Disease Centers and reported to NACC on the NACC Neuropathology Form. The APOE genotype is also reported by the Alzheimer’s Disease Genetics Consortium (ADGC) and the National Institute of Aging Genetics of Alzheimer’s Disease Data Storage Site (NCRAD).

2.4. Statistical Analysis

We used t-tests to examine the mean differences for continuous variables between metformin and nonusers. Chi-square tests were utilized to examine the distribution differences for categorical variables. Propensity score matching was performed to reduce the selection bias by balancing baseline characteristics: age, gender, education level (years), MMSE score at baseline, comorbidities (hypertension, atrial fibrillation, and congestive heart failure), and medications (dementia medication, antihypertensive medication, and antidepressants. Two cohorts were matched at a ratio of 1:1 by using nearest-neighbor matching via the R package MatchIt [25].
The cumulative probability of severe dementia was compared using the Kaplan–Meier method. Multivariable adjusted Cox proportional hazards regression analyses were performed to test the effect of metformin on the risk of developing severe dementia. A subgroup analysis was performed with participants who were APOE ε4 carriers or non-carriers. All analyses were performed with R (version 4.1.2, R Foundation for Statistical Computing, Vienna, Austria).

3. Results

3.1. Baseline Characteristics

From September 2005 to December 2021, 44,713 patients were registered in the NACC. In this study, we included patients with diagnoses of possible or probable AD (n = 21,848). The study inclusion date was defined as the date of AD diagnosis. We excluded patients without a diagnosis of diabetes (n = 19,662) and other types of diabetes (n = 2). Patients were excluded if data were missing on MMSE score at baseline (n = 878) or baseline MMSE score < 10 (n = 113, to avoid floor effects). Finally, we excluded patients who had no follow-up visit (n = 476) and those who had no diabetes medications (n = 402).
A total of 1306 patients with AD and T2DM were eligible, comprising 785 metformin users and 521 non-users (Figure 1). Patients in the non-metformin group were more likely to be older (77.7 vs. 74.0), have a lower MMSE score (23.35 vs. 24.17), and have more comorbid conditions such as hypertension (80.4% vs. 74.5%), atrial fibrillation (12.3% vs. 7.6%), and congestive heart failure (7.9% vs. 4.1%) (Table 1). The metformin group has more APOE ε4 carriers (40.0% vs. 33.8%) than the non-metformin group. There was no significant difference in education level (14.06 vs. 14.57 years) between the metformin and the non-metformin groups (p = 0.30). After propensity score matching, the two cohorts were balanced with no significant difference existing (Table 2).

3.2. Severe Dementia Risk

There were 48 subjects (8.6%) in the metformin group and 45 subjects (9.6%) in the non-metformin group who developed severe dementia. During the observation period (2005–2021), the mean time to severe dementia in the metformin group was 147 ± 2.9 months. In the non-metformin group, the mean time to severe dementia was 145 ± 3.4 months.
The cumulative incidence curves for severe dementia stratified by the drug use of metformin after propensity score matching are shown in Figure 2. Kaplan–Meier analyses showed that there were no significant differences in the cumulative probability of remaining severe dementia free between metformin and non-metformin groups in the propensity score-matched cohorts (log-rank p = 0.56).
Cox proportional hazards regression analyses showed that there was no statistically significant association between the use of metformin and severe dementia (HR, 0.96; 95% CI, 0.63–1.46; p = 0.85) after adjusting for age, gender, education level, APOE ε4, comorbidities, and medications (Table 3).

3.3. Subgroup Analysis of Subjects with APOE ε4

A subgroup analysis was performed with participants who were APOE ε4 carriers (n = 366) or non-carriers (n = 676). There were 42 APOE ε4 carriers (11.5%) who developed severe dementia, while 51 APOE ε4 non-carriers (7.5%) developed severe dementia during follow-up. Kaplan–Meier analyses demonstrated that those receiving metformin did not have a lower cumulative probability of remaining severe dementia free among APOE ε4 carriers (log-rank p = 0.24, Figure 3a). This trend was further confirmed in the subgroup analysis of outcomes in the APOE ε4 non-carriers (log-rank p = 0.81, Figure 3b).
Cox proportional hazards regression analyses demonstrated that metformin was not associated with a lower risk of developing severe dementia (HR, 0.92; 95% CI, 0.48–1.77; p = 0.80) among APOE ε4 carriers after adjusting for covariates (Table 4). Results for APOE ε4 non-carriers showed no statistically significant associations between metformin use and severe dementia (HR, 1.13; 95% CI, 0.64–2.01; p = 0.67).

4. Discussion

The present study found that the use of metformin was not associated with a lower risk of developing severe dementia among AD patients with T2DM. The results were consistent in subgroups that stratified patients by their APOE ε4 status. Analysis of the subgroup of APOE ε4 carriers showed that there was no significant difference in time to developing severe dementia between the metformin users and non-users. Similar results were found in the group of APOE ε4 non-carriers.
It is well received that metformin is associated with a lower risk of dementia, however, its effects on cognitive decline have been inconsistent. Samaras et al. demonstrated that metformin use was associated with a slower cognitive decline over time in cognitively normal elderly people [26]. Their findings were in consistent with a previous review article which indicated that metformin was associated with a decreased risk of incident dementia [14]. Conversely, a longitudinal study by Wennbery et al. reported no statistically significant associations between metformin use and cognitive test performance alteration [27]. While most of the previous studies have investigated associations between metformin and dementia risk in cognitively normal people with diabetes, few studies have evaluated the relationship between metformin use and cognitive outcomes among people with diabetes who also have a diagnosis of AD. The present study distinguishes itself from previous research by including diabetes patients who already have a diagnosis of AD and evaluating the impact of metformin on time to severe dementia. Our results are consistent with a recently published study by Wu et al. [19]. They examined the association between dilatates medications and memory decline over time using mixed-effects models and found no relationship between metformin and memory decline in AD patients. A double-blind placebo-controlled randomized pilot trial [28] also found that there was no significant relationship between metformin and memory change in patients with mild cognitive impairment. Those findings altogether suggested that in the presence of cognitive impairment due to AD, metformin might no longer be neuroprotective.
The APOE ε4 allele is a key genetic risk factor for cognitive decline, AD, and dementia [29,30]. APOE ε4 is associated with a higher prevalence of AD and an earlier age of onset [31]. It has been reported that individuals carrying the APOE ε4 allele experience a more rapid cognitive decline compared to those who are non-carriers of APOE ε4 [32,33]. Our results were consistent with those findings by observing more cases of severe dementia among APOE ε4 carriers compared with the APOE ε4 non-carriers (11.5% vs. 7.5%). Numerous studies have explored the influence of the APOE genotype on responses to interventions. Beneficial effects among APOE ε4 carriers were reported in patients with mild cognitive impairment. Interventions included galantamine [34], docosahexaenoic acid [35], and Mediterranean diet-based interventions [36]. Recent research has spotlighted the role of the APOE ε4 carrier status as a modifier of metformin’s impact on cognitive decline in AD patients [19]. This suggests that the therapeutic effects of metformin might be modulated by the APOE ε4 genotype [28]. Patients without the APOE-ε4 allele treated with metformin might have better cognitive outcomes than those with the APOE-ε4 allele. Nonetheless, our subgroup analysis revealed that the APOE ε4 genotype did not significantly modify the relationship between metformin use and incidence of severe dementia. Interpreting the absence of significant interactions requires caution as it could be influenced by the relatively small sample size. Despite having a relatively large cohort and a higher prevalence of the APOE ε4 allele in the NACC data compared to the general population, there are still limitations in evaluating interactions due to the sample size. Further studies are warranted to elucidate whether APOE ε4 carriers might potentially derive greater benefits from metformin usage.
To the best of our knowledge, this is the first study evaluating the relationship between metformin use and time to develop severe dementia among people with diabetes who also have a diagnosis of AD. This study has multiple strengths, including a large, population-based sample of AD patients with diabetes, a thorough investigation of potential confounders and effect modifiers, and a longitudinal design. Still, limitations must also be considered. First, although we attempted to address differences in metformin users and non-users through the use of propensity score matching, there may still be unmeasured confounding variables. Second, there was insufficient data on the duration of metformin use and the severity of diabetes, as indicated by factors such as HbA1c levels. These unreported details may introduce residual confounding, as variations in treatment duration and disease severity can significantly impact outcomes. Third, the absence of drug exposure history prior to entry into the database introduces potential bias. It is crucial to recognize that the lack of data on medication use prior to inclusion may influence the interpretation of treatment effects. Additionally, the dataset did not facilitate an assessment of medication adherence, a factor that can influence treatment outcomes. Despite these limitations, the study provides valuable insights into the relationship between metformin use and cognitive outcomes in individuals with AD and diabetes.

5. Conclusions

In this large cohort of individuals living with both diabetes and AD, our study did not identify a significant reduction in the risk of developing severe dementia among AD patients with T2DM who were prescribed metformin. A further subgroup analysis, stratified by APOE ε4 carrier status, revealed that metformin use was not associated with a decreased risk of severe dementia in either APOE ε4 carriers or non-carriers. Additional larger-scale longitudinal studies are warranted to confirm these findings.

Author Contributions

The authors confirm contributions to this paper as follows: study conception and design, Y.X. and X.X.; data collection, Y.X.; analysis and interpretation of results, Y.X.; draft manuscript preparation, Y.X. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the Competitive Medical Research Fund of the UPMC Health System, the University of Pittsburgh; the National Institute on Aging of the National Institutes of Health under award number R56AG074951.

Institutional Review Board Statement

The data underwent de-identification procedures and adhered to the patient confidentiality standards outlined in the Health Insurance Portability and Accountability Act (HIPAA). Consequently, approval from an ethics committee was not required.

Informed Consent Statement

Informed consent is obtained from all participants at the individual ADRCs.

Data Availability Statement

Data was obtained from NACC and are available [https://naccdata.org] with the permission of NACC.

Acknowledgments

We are most grateful to the staff members of the US National Alzheimer Coordinating Center for their continuous help with the NACC database. The NACC database is funded by NIA/NIH Grant U24 AG072122. NACC data are contributed by the NIA-funded ADRCs: P30 AG062429 (James Brewer), P30 AG066468 (Oscar Lopez), P30 AG062421 (Bradley Hyman), P30 AG066509 (Thomas Grabowski), P30 AG066514 (Mary Sano), P30 AG066530 (Helena Chui), P30 AG066507 (Marilyn Albert), P30 AG066444 (John Morris), P30 AG066518 (Jeffrey Kaye), P30 AG066512 (Thomas Wisniewski), P30 AG066462 (Scott Small), P30 AG072979 (David Wolk), P30 AG072972 (Charles DeCarli), P30 AG072976 (Andrew Saykin), P30 AG072975 (David Bennett), P30 AG072978 (Neil Kowall), P30 AG072977 (Robert Vassar), P30 AG066519 (Frank LaFerla), P30 AG062677 (Ronald Petersen), P30 AG079280 (Eric Reiman), P30 AG062422 (Gil Rabinovici), P30 AG066511 (Allan Levey), P30 AG072946 (Linda Van Eldik), P30 AG062715 (Sanjay Asthana), P30 AG072973 (Russell Swerdlow), P30 AG066506 (Todd Golde), P30 AG066508 (Stephen Strittmatter), P30 AG066515 (Victor Henderson), P30 AG072947 (Suzanne Craft), P30 AG072931 (Henry Paulson), P30 AG066546 (Sudha Seshadri), P20.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Arvanitakis, Z.; Shah, R.C.; Bennett, D.A. Diagnosis and Management of Dementia: Review. JAMA 2019, 322, 1589–1599. [Google Scholar] [CrossRef] [PubMed]
  2. Diagnosis and classification of diabetes mellitus. Diabetes Care 2009, 32 (Suppl. 1), S62–S67. [CrossRef] [PubMed]
  3. Yandrapalli, S.; Aronow, W.S. Cardiovascular benefits of the newer medications for treating type 2 diabetes mellitus. J. Thorac. Dis. 2017, 9, 2124–2134. [Google Scholar] [CrossRef] [PubMed]
  4. Barbiellini Amidei, C.; Fayosse, A.; Dumurgier, J.; Machado-Fragua, M.D.; Tabak, A.G.; van Sloten, T.; Kivimäki, M.; Dugravot, A.; Sabia, S.; Singh-Manoux, A. Association Between Age at Diabetes Onset and Subsequent Risk of Dementia. JAMA 2021, 325, 1640–1649. [Google Scholar] [CrossRef] [PubMed]
  5. Okereke, O.I.; Kang, J.H.; Cook, N.R.; Gaziano, J.M.; Manson, J.E.; Buring, J.E.; Grodstein, F. Type 2 diabetes mellitus and cognitive decline in two large cohorts of community-dwelling older adults. J. Am. Geriatr. Soc. 2008, 56, 1028–1036. [Google Scholar] [CrossRef] [PubMed]
  6. Alkethiri, K.; Almtroudi, T.; Jurays, A.B.; Abanumay, F.; Aldammas, M.; AlKhodheer, M.; Iqbal, M.; Habib, S.S.; Bashir, S. The relationship between type 2 diabetes mellitus with cognitive functions. Heliyon 2021, 7, e06358. [Google Scholar] [CrossRef]
  7. Alfahadi, A.; Habib, S.S.; Alharbi, K.; Alturki, D.; Alshamrani, F.; Bashir, S. Assessment of fatigue severity and neurocognitive functions in the real setting of Ramadan in patients with type 2 diabetes mellitus. Heliyon 2020, 6, e03997. [Google Scholar] [CrossRef]
  8. Ekblad, L.L.; Rinne, J.O.; Puukka, P.; Laine, H.; Ahtiluoto, S.; Sulkava, R.; Viitanen, M.; Jula, A. Insulin Resistance Predicts Cognitive Decline: An 11-Year Follow-up of a Nationally Representative Adult Population Sample. Diabetes Care 2017, 40, 751–758. [Google Scholar] [CrossRef]
  9. Rönnemaa, E.; Zethelius, B.; Sundelöf, J.; Sundström, J.; Degerman-Gunnarsson, M.; Berne, C.; Lannfelt, L.; Kilander, L. Impaired insulin secretion increases the risk of Alzheimer disease. Neurology 2008, 71, 1065–1071. [Google Scholar] [CrossRef]
  10. Talbot, K.; Wang, H.Y.; Kazi, H.; Han, L.Y.; Bakshi, K.P.; Stucky, A.; Fuino, R.L.; Kawaguchi, K.R.; Samoyedny, A.J.; Wilson, R.S.; et al. Demonstrated brain insulin resistance in Alzheimer’s disease patients is associated with IGF-1 resistance, IRS-1 dysregulation, and cognitive decline. J. Clin. Investig. 2012, 122, 1316–1338. [Google Scholar] [CrossRef]
  11. Femminella, G.D.; Bencivenga, L.; Petraglia, L.; Visaggi, L.; Gioia, L.; Grieco, F.V.; de Lucia, C.; Komici, K.; Corbi, G.; Edison, P.; et al. Antidiabetic Drugs in Alzheimer’s Disease: Mechanisms of Action and Future Perspectives. J. Diabetes Res. 2017, 2017, 7420796. [Google Scholar] [CrossRef]
  12. Hsu, C.C.; Wahlqvist, M.L.; Lee, M.S.; Tsai, H.N. Incidence of dementia is increased in type 2 diabetes and reduced by the use of sulfonylureas and metformin. J. Alzheimers Dis. 2011, 24, 485–493. [Google Scholar] [CrossRef]
  13. Sluggett, J.K.; Koponen, M.; Bell, J.S.; Taipale, H.; Tanskanen, A.; Tiihonen, J.; Uusitupa, M.; Tolppanen, A.M.; Hartikainen, S. Metformin and Risk of Alzheimer’s Disease Among Community-Dwelling People With Diabetes: A National Case-Control Study. J. Clin. Endocrinol. Metab. 2020, 105, e963–e972. [Google Scholar] [CrossRef] [PubMed]
  14. Campbell, J.M.; Stephenson, M.D.; de Courten, B.; Chapman, I.; Bellman, S.M.; Aromataris, E. Metformin Use Associated with Reduced Risk of Dementia in Patients with Diabetes: A Systematic Review and Meta-Analysis. J. Alzheimers Dis. 2018, 65, 1225–1236. [Google Scholar] [CrossRef] [PubMed]
  15. Huang, K.H.; Tsai, Y.F.; Lee, C.B.; Gau, S.Y.; Tsai, T.H.; Chung, N.J.; Lee, C.Y. The Correlation between Metformin Use and Incident Dementia in Patients with New-Onset Diabetes Mellitus: A Population-Based Study. J. Pers. Med. 2023, 13, 738. [Google Scholar] [CrossRef]
  16. Shi, Q.; Liu, S.; Fonseca, V.A.; Thethi, T.K.; Shi, L. Effect of metformin on neurodegenerative disease among elderly adult US veterans with type 2 diabetes mellitus. BMJ Open. 2019, 9, e024954. [Google Scholar] [CrossRef] [PubMed]
  17. Solomon, A.; Turunen, H.; Ngandu, T.; Peltonen, M.; Levälahti, E.; Helisalmi, S.; Antikainen, R.; Bäckman, L.; Hänninen, T.; Jula, A.; et al. Effect of the Apolipoprotein E Genotype on Cognitive Change During a Multidomain Lifestyle Intervention: A Subgroup Analysis of a Randomized Clinical Trial. JAMA Neurol. 2018, 75, 462–470. [Google Scholar] [CrossRef] [PubMed]
  18. Liu, C.C.; Liu, C.C.; Kanekiyo, T.; Xu, H.; Bu, G. Apolipoprotein E and Alzheimer disease: Risk, mechanisms and therapy. Nat. Rev. Neurol. 2013, 9, 106–118. [Google Scholar] [CrossRef]
  19. Wu, C.Y.; Ouk, M.; Wong, Y.Y.; Anita, N.Z.; Edwards, J.D.; Yang, P.; Shah, B.R.; Herrmann, N.; Lanctôt, K.L.; Kapral, M.K.; et al. Relationships between memory decline and the use of metformin or DPP4 inhibitors in people with type 2 diabetes with normal cognition or Alzheimer’s disease, and the role APOE carrier status. Alzheimers Dement. 2020, 16, 1663–1673. [Google Scholar] [CrossRef]
  20. Morris, J.C.; Weintraub, S.; Chui, H.C.; Cummings, J.; Decarli, C.; Ferris, S.; Foster, N.L.; Galasko, D.; Graff-Radford, N.; Peskind, E.R.; et al. The Uniform Data Set (UDS): Clinical and cognitive variables and descriptive data from Alzheimer Disease Centers. Alzheimer Dis. Assoc. Disord. 2006, 20, 210–216. [Google Scholar] [CrossRef]
  21. McKhann, G.; Drachman, D.; Folstein, M.; Katzman, R.; Price, D.; Stadlan, E.M. Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 1984, 34, 939–944. [Google Scholar] [CrossRef] [PubMed]
  22. McKhann, G.M.; Knopman, D.S.; Chertkow, H.; Hyman, B.T.; Jack, C.R., Jr.; Kawas, C.H.; Klunk, W.E.; Koroshetz, W.J.; Manly, J.J.; Mayeux, R.; et al. The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011, 7, 263–269. [Google Scholar] [CrossRef] [PubMed]
  23. National Institute for Health and Care Excellence: Guidelines. In Dementia: Assessment, Management and Support for People Living with Dementia and Their Carers; National Institute for Health and Care Excellence (NICE): London, UK, 2018.
  24. Wattmo, C.; Wallin, A.K.; Minthon, L. Progression of mild Alzheimer’s disease: Knowledge and prediction models required for future treatment strategies. Alzheimers Res. 2013, 5, 44. [Google Scholar] [CrossRef]
  25. Ho, D.; Imai, K.; King, G.; Stuart, E.A. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. J. Stat. Softw. 2011, 42, 1–28. [Google Scholar] [CrossRef]
  26. Samaras, K.; Makkar, S.; Crawford, J.D.; Kochan, N.A.; Wen, W.; Draper, B.; Trollor, J.N.; Brodaty, H.; Sachdev, P.S. Metformin Use Is Associated With Slowed Cognitive Decline and Reduced Incident Dementia in Older Adults With Type 2 Diabetes: The Sydney Memory and Ageing Study. Diabetes Care 2020, 43, 2691–2701. [Google Scholar] [CrossRef] [PubMed]
  27. Wennberg, A.M.V.; Hagen, C.E.; Edwards, K.; Roberts, R.O.; Machulda, M.M.; Knopman, D.S.; Petersen, R.C.; Mielke, M.M. Association of antidiabetic medication use, cognitive decline, and risk of cognitive impairment in older people with type 2 diabetes: Results from the population-based Mayo Clinic Study of Aging. Int. J. Geriatr. Psychiatry 2018, 33, 1114–1120. [Google Scholar] [CrossRef]
  28. Luchsinger, J.A.; Perez, T.; Chang, H.; Mehta, P.; Steffener, J.; Pradabhan, G.; Ichise, M.; Manly, J.; Devanand, D.P.; Bagiella, E. Metformin in Amnestic Mild Cognitive Impairment: Results of a Pilot Randomized Placebo Controlled Clinical Trial. J. Alzheimers Dis. 2016, 51, 501–514. [Google Scholar] [CrossRef]
  29. Chartier-Harlin, M.C.; Parfitt, M.; Legrain, S.; Pérez-Tur, J.; Brousseau, T.; Evans, A.; Berr, C.; Vidal, O.; Roques, P.; Gourlet, V.; et al. Apolipoprotein E, epsilon 4 allele as a major risk factor for sporadic early and late-onset forms of Alzheimer’s disease: Analysis of the 19q13.2 chromosomal region. Hum. Mol. Genet. 1994, 3, 569–574. [Google Scholar] [CrossRef]
  30. Lambert, J.C.; Heath, S.; Even, G.; Campion, D.; Sleegers, K.; Hiltunen, M.; Combarros, O.; Zelenika, D.; Bullido, M.J.; Tavernier, B.; et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nat. Genet. 2009, 41, 1094–1099. [Google Scholar] [CrossRef]
  31. Farrer, L.A.; Cupples, L.A.; Haines, J.L.; Hyman, B.; Kukull, W.A.; Mayeux, R.; Myers, R.H.; Pericak-Vance, M.A.; Risch, N.; van Duijn, C.M. Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. JAMA 1997, 278, 1349–1356. [Google Scholar] [CrossRef]
  32. Qian, J.; Betensky, R.A.; Hyman, B.T.; Serrano-Pozo, A. Association of APOE Genotype With Heterogeneity of Cognitive Decline Rate in Alzheimer Disease. Neurology 2021, 96, e2414–e2428. [Google Scholar] [CrossRef] [PubMed]
  33. Del Bo, R.; Comi, G.P.; Bresolin, N.; Castelli, E.; Conti, E.; Degiuli, A.; Ausenda, C.D.; Scarlato, G. The apolipoprotein E epsilon4 allele causes a faster decline of cognitive performances in Down’s syndrome subjects. J. Neurol. Sci. 1997, 145, 87–91. [Google Scholar] [CrossRef] [PubMed]
  34. Prins, N.D.; van der Flier, W.A.; Knol, D.L.; Fox, N.C.; Brashear, H.R.; Nye, J.S.; Barkhof, F.; Scheltens, P. The effect of galantamine on brain atrophy rate in subjects with mild cognitive impairment is modified by apolipoprotein E genotype: Post-hoc analysis of data from a randomized controlled trial. Alzheimers Res. 2014, 6, 47. [Google Scholar] [CrossRef]
  35. Stonehouse, W.; Conlon, C.A.; Podd, J.; Hill, S.R.; Minihane, A.M.; Haskell, C.; Kennedy, D. DHA supplementation improved both memory and reaction time in healthy young adults: A randomized controlled trial. Am. J. Clin. Nutr. 2013, 97, 1134–1143. [Google Scholar] [CrossRef] [PubMed]
  36. Martínez-Lapiscina, E.H.; Galbete, C.; Corella, D.; Toledo, E.; Buil-Cosiales, P.; Salas-Salvado, J.; Ros, E.; Martinez-Gonzalez, M.A. Genotype patterns at CLU, CR1, PICALM and APOE, cognition and Mediterranean diet: The PREDIMED-NAVARRA trial. Genes Nutr. 2014, 9, 393. [Google Scholar] [CrossRef]
Biomedicines 11 02935 g001
Figure 1. Flowchart of participants included in the study.
Figure 1. Flowchart of participants included in the study.
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Figure 2. Kaplan-Meier curves examining the cumulative probability of remaining severe dementia free subgroup analysis.
Figure 2. Kaplan-Meier curves examining the cumulative probability of remaining severe dementia free subgroup analysis.
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Figure 3. Subgroup analysis of cumulative probability of remaining severe dementia free in APOE ε4 non-carriers and carriers. (a) Subgroup analysis of outcomes in APOE ε4 carriers; (b) Subgroup analysis of outcomes in APOE ε4 non-carriers.
Figure 3. Subgroup analysis of cumulative probability of remaining severe dementia free in APOE ε4 non-carriers and carriers. (a) Subgroup analysis of outcomes in APOE ε4 carriers; (b) Subgroup analysis of outcomes in APOE ε4 non-carriers.
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Table 1. Characteristics of metformin and non-metformin cohorts (before propensity score matching).
Table 1. Characteristics of metformin and non-metformin cohorts (before propensity score matching).
CharacteristicNon-Metformin Cohort
N = 521		Metformin Cohort
N = 785		p-Value
Sex (%)241 (46.3)389 (49.6)0.28
Age (mean (SD))77.75 (7.51)73.97 (7.90)<0.001
Educational level (years)14.06 (7.51)14.57 (9.01)0.29
Baseline MMSE score23.35 (4.78)24.17 (4.54)0.002
APOE ε4 carrier (%)176 (33.8)314 (40.0)0.027
Hypertension (%)419 (80.4)585 (74.5)0.016
Atrial fibrillation (%)64 (12.3)60 (7.6)0.007
Congestive heart failure (%)41 (7.9)32 (4.1)0.005
Dementia medication (%)218 (41.8)321 (40.9)0.78
Antihypertensive medication (%)432 (82.9)605 (77.1)0.013
Antidepressant (%)162 (31.1)278 (35.4)0.12
Table 2. Characteristics of metformin and non-metformin cohorts (propensity score-matched).
Table 2. Characteristics of metformin and non-metformin cohorts (propensity score-matched).
CharacteristicNon-Metformin Cohort
N = 521		Metformin Cohort
N = 521		p-Value
Sex (%)241 (46.3)250 (48.0)0.62
Age (mean (SD))77.75 (7.51)77.04 (6.82)0.11
Educational level (years)14.06 (7.51)14.04 (7.75)0.55
Baseline MMSE score23.35 (4.78)23.80 (4.79)0.13
APOE ε4 carrier176 (33.8)195 (37.4)0.24
Hypertension (%)419 (80.4)419 (80.4)1.00
Atrial fibrillation (%)64 (12.3)54 (10.4)0.38
Congestive heart failure (%)41 (7.9)30 (5.8)0.22
Dementia medication (%)218 (41.8)208 (39.9)0.57
Antihypertensive medication (%)432 (82.9)420 (80.6)0.38
Antidepressant (%)162 (31.1)171 (32.8)0.60
Table 3. Analyses of the association of use of metformin with risk of developing severe dementia.
Table 3. Analyses of the association of use of metformin with risk of developing severe dementia.
HR (95% CI)p Value
Multivariable Adjusted Analysis a
  No metformin use1 [Reference]1 [Reference]
  Metformin use0.96 (0.63–1.46)=0.85
Unadjusted Analysis
  No metformin use1 [Reference]1 [Reference]
  Metformin use0.89 (0.59–1.33)=0.56
Abbreviations: HR, hazard ratio; CI, confidence interval. a Adjusted for age; gender; education level; baseline MMSE score; status of APOE ε4 carrier; diagnosis of hypertension; congestive heart failure; atrial fibrillation; use of dementia medication, antihypertensive medication, and antidepressants.
Table 4. Cox proportional hazard regression analysis for APOE ε4 carrier and non-carriers.
Table 4. Cox proportional hazard regression analysis for APOE ε4 carrier and non-carriers.
APOE ε4 Carrier (366)APOE ε4 Non-Carrier (676)
Users
(n = 190)		Non-Users
(n = 176)		Users vs. Non-UsersUsers
(n = 331)		Non-Users
(n = 345)		Users vs. Non-Users
EventsEvent RateEventsEvent RateAdjusted HR a (95%CI)EventsEvent RateEventsEvent RateAdjusted
HR a (95%CI)
Severe dementia2010.5%2212.5%0.92 (0.48–1.77), p = 0.80288.5%236.7%1.13 (0.64–2.01), p = 0.67
Abbreviations: HR, hazard ratio; CI, confidence interval. a Adjusted for age; gender; education level; baseline MMSE score; status of APOE ε4 carrier; diagnosis of hypertension; congestive heart failure; atrial fibrillation; use of dementia medication, antihypertensive medication, and antidepressants.
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Xue, Y.; Xie, X. The Association between Metformin Use and Risk of Developing Severe Dementia among AD Patients with Type 2 Diabetes. Biomedicines 2023, 11, 2935. https://doi.org/10.3390/biomedicines11112935

AMA Style

Xue Y, Xie X. The Association between Metformin Use and Risk of Developing Severe Dementia among AD Patients with Type 2 Diabetes. Biomedicines. 2023; 11(11):2935. https://doi.org/10.3390/biomedicines11112935

Chicago/Turabian Style

Xue, Ying, and Xiangqun Xie. 2023. "The Association between Metformin Use and Risk of Developing Severe Dementia among AD Patients with Type 2 Diabetes" Biomedicines 11, no. 11: 2935. https://doi.org/10.3390/biomedicines11112935

APA Style

Xue, Y., & Xie, X. (2023). The Association between Metformin Use and Risk of Developing Severe Dementia among AD Patients with Type 2 Diabetes. Biomedicines, 11(11), 2935. https://doi.org/10.3390/biomedicines11112935

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