Literature DB >> 34934798

Association between serum urate and CSF markers of Alzheimer's disease pathology in a population-based sample of 70-year-olds.

Tahzeeb Fatima1,2, Lennart T H Jacobsson1, Silke Kern3, Anna Zettergren3, Kaj Blennow3,4, Henrik Zetterberg3,4,5,6, Lena Johansson3, Mats Dehlin1, Ingmar Skoog3.   

Abstract

INTRODUCTION: The relationship between urate and biomarkers for Alzheimer's disease (AD) pathophysiology has not been investigated.
METHODS: We examined whether serum concentration of urate was associated with cerebrospinal fluid biomarkers, amyloid beta (Aβ)42, Aβ40, phosphorylated tau (p-tau), total tau (t-tau), neurofilament light (NfL), and Aβ42/Aβ40 ratio, in cognitively unimpaired 70-year-old individuals from Gothenburg, Sweden. We also evaluated whether possible associations were modulated by the apolipoprotein E (APOE) ε4 allele.
RESULTS: Serum urate was positively associated with Aβ42 in males (β = 0.55 pg/mL, P = .04). There was a positive urate-APOE ε4 interaction (1.24 pg/mL, P interaction = .02) in relation to Aβ42 association. The positive urate and Aβ42 association strengthened in male APOE ε4 carriers (β = 1.28 pg/mL, P = .01). DISCUSSION: The positive association between urate and Aβ42 in cognitively healthy men may suggest a protective effect of urate against deposition of amyloid protein in the brain parenchyma, and in the longer term, maybe against AD dementia.
© 2021 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.

Entities:  

Keywords:  Alzheimer's disease; apolipoprotein E ε4; cerebrospinal fluid biomarkers; dementia; urate

Year:  2021        PMID: 34934798      PMCID: PMC8652407          DOI: 10.1002/dad2.12241

Source DB:  PubMed          Journal:  Alzheimers Dement (Amst)        ISSN: 2352-8729


BACKGROUND

Dementia is the most common neurodegenerative disorder, with Alzheimer's disease (AD) constituting ≈ 60% to 70% of the cases. The global prevalence of dementia in individuals aged ≥ 60 years ranges between 5% and 7%. Dementia due to AD is preceded by years of progressive cognitive impairment. AD neuropathology is characterized by formation of amyloid plaques and aggregation of hyperphosphorylated tau (p‐tau) into paired helical filaments forming dystrophic neurites surrounding the plaques and intraneuronal neurofibrillary tangles, leading to synaptic and neuronal degeneration and loss, finally resulting in overt brain atrophy. The main component of amyloid plaques is the amyloid beta (Aβ) peptide, which is composed of a family of peptides produced by proteolytic cleavage of the type I transmembrane spanning glycoprotein, the amyloid precursor protein (APP). Aβ40 and Aβ42 are two major isoforms of Aβ; however, amyloid plaques in AD brains mostly, or sometimes only, consist of Aβ42. Aβ40, on the other hand, can reliably be used as a surrogate marker for increased amyloidogenic APP processing in AD. Some studies have also reported that the ratio of Aβ42/Aβ40 may be more important to the neurobiology in sporadic AD than the absolute levels of Aβ42. , Cerebrospinal fluid (CSF) neurofilament light (NfL) is another marker that is used to indicate unspecific axonal damage in AD that is suggested to progress with age independent of Aβ pathology. The main pathological changes in AD can be monitored by three CSF biomarkers, that is, a decrease in CSF Aβ42 (or the CSF Aβ42/Aβ40 ratio) and increase in CSF levels of p‐tau and total tau (t‐tau). Such changes in CSF biomarkers are detectable in cognitively unimpaired elderly as the earliest signatures of AD. , Evidence from biomarker and brain autopsy studies has shown that Aβ pathology and increased tau phosphorylation and secretion start as early as 20 years before clinical symptoms, which is reflected by the CSF biomarkers. Considering that the pathological process of AD is slow and gradual, it is important to find risk and protective factors early in the disease course. Urate is a naturally occurring antioxidant that accounts for about 60% of the free‐radical scavenging capacity in humans. There is evidence that the development of AD is accompanied by exposure of brain tissue to oxidative stress. Because urate is an antioxidant, it has been suggested to exert neuroprotective effects and may thus alter the risk of AD via its antioxidant ability. Lower urate concentrations have also been associated with faster disease progression and an increased risk of neurodegenerative disorders including Parkinson's and AD dementia. , A meta‐analysis of data across 21 case‐control studies indicated that in patients with AD, serum urate concentrations were significantly lower than in healthy controls. Two longitudinal studies have previously investigated the relationship between serum urate and long‐term risk of dementia in European populations, with contradictory results. , We recently reported a protective role of higher midlife serum urate levels for the development of dementia, irrespective of dementia subtypes, in a longitudinal study of Swedish women followed over 44 years. To date, only one study has investigated the association between serum urate and cerebral Aβ deposition in non‐demented Korean individuals (age range = 55 to 90 years), indicating no association. However, the relationship between serum urate concentration and CSF markers of preclinical AD in healthy older people has not been examined. Genetic studies have identified polymorphisms in apolipoprotein E (APOE) as the main genetic determinant of late‐onset sporadic AD. The a poE protein is mainly involved in cholesterol metabolism in humans. Having at least one copy of the APOE ε4 allele increases the risk 3‐fold for developing AD at an early age in almost all ethnic groups. , The APOE ε4 allele has also been reported to be associated with a slightly higher risk of primary hyperuricemia in Chinese men (mean age = 47.2). Yet, there are no reports on the relationship between APOE ε4 and serum urate concentrations in older individuals with a higher likelihood of preclinical AD. Because serum urate, AD biomarkers, and AD incidence rise at a higher age in women compared to men and because our study sample consisted of a cohort with a fixed age of 70 years, we decided a priori to do all analyses stratified by sex. The current study thus aimed to investigate the association between serum urate and biomarkers of preclinical AD pathology using CSF data from cognitively unimpaired individuals from a representative population‐based sample of 70‐year‐olds in Sweden by sex. The association was further evaluated for any possible interaction between serum urate and the presence of the AD risk allele APOE ε4.

METHODS

Study participants

We used the baseline data from the Gothenburg H70 Birth Cohort Study 2014 to 2016. The data for individuals living in private households as well as in residential care was used. More details on the study design, data recruitment, and health examinations are provided elsewhere. Briefly, all men and women, born 1944 on specific dates (dates ending with 0, 2, 5, or 8), and registered as residents in Gothenburg, Sweden, were invited for a health examination between 2014 and 2016 (mean age = 70.9, standard deviation [SD] = 0.35). With a response rate of 72.2%, a total of 1203 (559 men and 644 women) individuals participated. A detailed neuropsychiatric examination was performed in 1196 individuals, and 430 (response rate 35.7%) consented to lumbar puncture (LP) for CSF sampling. Of these, 108 had pharmacological contraindications (e.g., anticoagulants and cancer therapies), leaving 322 participants. , For this study, a subset of cognitively unimpaired individuals was defined based on a Clinical Dementia Rating (CDR) score of 0. All participants (n = 63) with a CDR score of > 0 were excluded from this subset, leaving 259 (130 men and 129 women) as the study sample. Urate is suggested to reduce the risk of neurodegenerative disease by virtue of its antioxidative properties. The relationship between urate and Alzheimer's disease (AD) pathophysiology, examined by cerebrospinal fluid (CSF) biomarkers, has not been investigated. A positive association between serum urate and CSF amyloid beta (Aβ)42 concentration in cognitively healthy men was observed, which strengthened in those possessing the apolipoprotein E ε4 allele. The results suggest a protective effect of urate against the deposition of amyloid protein in the brain parenchyma, and in the longer term, maybe against AD dementia.

RESEARCH IN CONTEXT

Systematic Review: The literature (traditional web sources, meeting abstracts, and presentations) regarding associations between urate and Alzheimer's disease (AD) and other dementia subtypes was reviewed. Urate levels have epidemiologically been suggested to reduce the risk of neurodegenerative diseases, possibly by antioxidative properties, but an association between urate and biomarkers of preclinical AD has not been studied. Interpretation: Using the cerebrospinal fluid (CSF) data from a cross‐sectional, Gothenburg‐based, birth cohort of 70‐year‐olds, we report that levels of serum urate are positively associated with amyloid beta (Aβ)42 in males, and significantly stronger so in the presence of the apolipoprotein E ε4 allele. This is compatible with the idea that serum urate may protect against depositions of Aβ42 in brain, years before the manifestation of AD symptoms. Future Directions: Confirmation of our findings in larger datasets, and in particular in longitudinal settings, are needed. If confirmed, urate may be a modifiable risk factor that can be used to alter the course of AD. The Regional Ethics Review Board in Gothenburg provided the approval for this study. Written informed consent was obtained from all participants and/or their close relatives prior to the study.

Assessment of CDR score and dementia

For all study participants (n = 1196, response rate 99.4%), a detailed neuropsychiatric assessment was performed by experienced psychiatric research nurses at Sahlgrenska University Hospital in Gothenburg or at home. The CDR score was recorded during the examinations, but the final rating scores were assigned by a geriatric psychiatrist and neurologist. Dementia was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders (DSM) III‐R criteria. These criteria have been used in the Gothenburg studies for > 30 years.

Urate and CSF biomarker measurements

For this study, measurements for serum urate and CSF biomarkers, Aβ42, Aβ40, Aβ42/Aβ40 ratio, t‐tau, p‐tau, and NfL were used for the cognitively unimpaired study sample (n = 259). Blood sampling was performed in 1192 participants at the Neuropsychiatric Outpatient Department at the Sahlgrenska University Hospital during the 2014 to 2016 examinations. Samples were collected for each study participant after an overnight fasting. All serum samples were frozen at –80°C within approximately 1 hour of collection to be saved in a biobank for future analyses according to the Swedish Biobank Law (2002:297). Following the standard routine clinical laboratory procedures, these samples were used to determine serum urate. The serum urate measurements were done during February and March 2018. All LPs were performed in the morning to collect CSF samples from the L3/L4 or L4/L5 interspace, as previously described. , Standard laboratory procedures for CSF sample collection and storage at suitable temperature are detailed elsewhere. , The analysis of CSF Aβ42, t‐tau, and p‐tau was done using sandwich enzyme‐linked immunosorbent assay (ELISA) methods. To measure Aβ42 in CSF, an ELISA was specifically constructed to measure Aβ peptides from amino acid 1 to 42 (INNOTEST β‐amyloid1‐42, Fujirebio). CSF t‐tau and tau phosphorylated at threonine 181 (p‐tau) were also determined using sandwich ELISAs (INNOTEST htau Ag and PHOSPHO_TAU [181P], Fujirebio), as detailed previously. , , For the measurement of Aβ40 and Aβ42/Aβ40 ratio, a V‐PLEX Aβ Peptide Panel 1 (6E10) Kit (Meso Scale Discovery) was used. CSF NfL concentration was measured using an in‐house sandwich ELISA with capture and detection antibodies that are directed against the central rod domain of the protein (NfL21 and NfL23, respectively).

APOE genotyping

DNA extraction was performed following the standard procedures at LGC Genomics in Berlin (Germany). The samples were genotyped using the KASPar PCR SNP genotyping system (LGC Genomics). The genotype information for two single nucleotide polymorphisms (SNPs), rs7412 and rs429358, in APOE, were used to define epsilon (ε2, ε3, and ε4) alleles. Both homozygotes (ε4/ε4) and heterozygotes (ε2/ε4 and ε3/ε4) for the APOE ε4 allele were considered to define the term “APOE ε4 carrier” (or APOE ε4+). For 5 out of 259 individuals in the study sample, genotype information for APOE SNPs could not be determined.

Statistical analyses

Data are expressed as mean ± SD for continuous variables, and as frequencies and percentages for all categorical variables. Student's t‐test was used to compare the average levels of serum urate and CSF biomarkers between men and women. To evaluate the association between serum urate and each of the CSF biomarkers (Aβ42, Aβ40, Aβ42/Aβ40 ratio, p‐tau, t‐tau, and NfL), separate multiple linear regressions, fitted for overall and sex‐adjusted models, were performed. The analyses were further stratified for sex and a “serum urate × APOE ε4 allele” interaction term was included in the linear regression models to test for its significance. The association analyses were also stratified for the presence of the APOE ε4 allele in overall and male and female groups. A P ≤ .05 was designated as significant and all analyses were performed in statistical software R v3.5.2. Values are presented for per unit (μmol/L) increase in serum urate for per unit (pg/mL) increase and/or decrease in any CSF biomarker.

RESULTS

The overall study population comprised 259 participants (130 males and 129 females). The average serum urate concentration for the subset was 321.5 (75.8 SD) μmol/L, with a significant difference between men and women (352.3 vs. 290.1 μmol/L, P = 7.6E‐12). The levels of CSF Aβ42, Aβ40, p‐tau, t‐tau, NfL, and Aβ42/Aβ40 ratio were not significantly different between men and women, although Aβ42 tended to be (non‐significantly) lower in men (P = .13). There were 33.8% of the individuals who were APOE ε4 carriers, with a higher percentage of carriers among men (38.8%) than among women (28.8%; Table 1). The overall APOE ε4 allele frequency (calculated based on the total number of alleles in the sample) was 18%.
TABLE 1

Numbers and biomarker levels of the individuals included in the analyses

AllMalesFemales P‐value
Total number, n (%)259130 (50.2)129 (49.8)
Serum urate (μmol/L) b 321 ± 75.8352 ± 72.5290 ± 65.67.6e‐12
42 (pg/mL) b 724 ± 225.1703 ± 230.4745 ± 218.4.13
40 (pg/mL) b 6253 ± 14456151 ± 14266370 ± 1458.22
42/Aβ40 c 0.87 ± 0.210.85 ± 0.220.90 ± 0.19.10
t‐tau (pg/mL) b 332 ± 141338 ± 146325 ± 136.43
p‐tau (pg/mL) b 49.4 ± 17.949.8 ± 18.249.1 ± 17.6.75
NfL (pg/mL) b 869 ± 688894 ± 615839 ± 756.52
APOE ε4+, n (%) a 86 (33.8)50 (38.8)36 (28.8)
APOE ε4 homozygotes, n (%)7 (8.1)6 (85.7)1 (14.2)

Abbreviations: Aβ, amyloid beta; APOE ε4+, individuals carrying apolipoprotein E risk allele; NfL, neurofilament light chain; p‐tau, tau phosphorylated at amino acid 181; t‐tau, total tau.

aThe APOE allele data were missing for 5 out of 259 individuals (one male and four females) and the percentage is calculated for 254 (129 males and 125 females).

bValues presented as mean ± standard deviation.

cThe values are presented after multiplying by 10.

Numbers and biomarker levels of the individuals included in the analyses Abbreviations: Aβ, amyloid beta; APOE ε4+, individuals carrying apolipoprotein E risk allele; NfL, neurofilament light chain; p‐tau, tau phosphorylated at amino acid 181; t‐tau, total tau. aThe APOE allele data were missing for 5 out of 259 individuals (one male and four females) and the percentage is calculated for 254 (129 males and 125 females). bValues presented as mean ± standard deviation. cThe values are presented after multiplying by 10. There was no significant difference in mean serum urate levels between APOE ε4 carriers and non‐carriers in the total sample (325.5 vs. 319.4 μmol/L, P = .54) or in sex‐stratified groups (men: 345.6 vs. 356.5 μmol/L, P = .40; women: 297.6 vs. 286.2 μmol/L, P = .42; Table S1 in supporting information).

Association between serum urate and CSF biomarkers

A positive association between serum urate and CSF Aβ42 was observed among men, where higher levels of serum urate were associated with higher CSF levels of Aβ42 (β [95% CI] = 0.55 pg/mL [0.01 to 1.10], P = .04). There was a positive estimate also in women (β [95% CI] = 0.14 pg/mL [–0.44 to 0.73], P = .63), albeit not reaching statistical significance (Table 2). Serum urate was also positively associated with Aβ42/Aβ40 ratio (β [95% CI] = 4.4E‐04 [7.6E‐05 to 8.2E‐04], P = .02) in sex‐adjusted analysis (Table 2). There was a trend of positive serum urate association with Aβ42/Aβ40 ratio in men (β [95% CI] = 5.2E‐04 [–2.2E‐05 to 1.0E‐03], P = .06), but not in women (Table 2). There were no significant associations between serum urate and Aβ40 (β [95% CI] = –0.25 pg/mL [–2.83 to 2.33], P = .84), p‐tau (β [95% CI] = ‐0.01 pg/mL [‐0.04 to 0.02], P = .66), t‐tau (β [95% CI] = ‐0.07 pg/mL [‐0.33 to 0.17], P = .53), or NfL (β [95% CI] = ‐0.76 pg/mL [‐2.01 to 0.47], P = .23) in sex‐adjusted analyses in the total sample or when men and women were analyzed separately (Table 2).
TABLE 2

Association of serum urate (μmol/L) with CSF biomarkers (pg/mL) overall and stratified by sex

CSF markerUnadjusted a Adjusted b MalesFemales
β (95% CI) P β (95% CI) P β (95% CI) P β (95% CI) P
42 0.18 (–0.18 to 0.55).320.36 (–0.03 to 0.76).070.55 (0.01 to 1.10).040.14 (–0.44 to 0.73).63
40 –0.72 (–3.08 to 1.63).54–0.25 (–2.83 to 2.33).84–0.25 (–3.73 to 3.21).88–0.24 (–4.16 to 3.68).90
42/Aβ40 2.4e‐04 (–1.0e‐04 to 5.8e‐04).164.4e‐04 (7.6e‐05 to 8.2e‐04).025.2e‐04 (–2.2e‐05 to 1.0e‐03).063.5e‐04 (–1.5e‐04 to 8.6e‐04).16
p‐tau–0.003 (–0.03 to 0.03).82–0.01 (–0.04 to 0.02).66–0.02 (–0.06 to 0.02).340.01 (0.03 to 0.05).66
t‐tau–0.02 (–0.25 to 0.21).87–0.07 (–0.33 to 0.17).53–0.13 (–0.48 to 0.22).46–0.01 (–0.38 to 0.35).94
NfL–0.46 (–1.59 to 0.66).42–0.76 (–2.01 to 0.47).23–0.99 (–2.48 to 0.48).18–0.46 (–2.53 to 1.61).66

Note: All β‐values are presented as pg/mL for all CSF biomarkers, except Aβ42/Aβ40, which is a ratio.

Abbreviations: Aβ, amyloid beta; CI, confidence interval; CSF, cerebrospinal fluid; NfL, neurofilament light chain; p‐tau, tau phosphorylated at amino acid 181; t‐tau, total tau.

The associations of serum urate with CSF biomarkers were determined using linear regression models with serum urate as the independent variable.

bThe above linear regression models were additionally adjusted for sex.

Association of serum urate (μmol/L) with CSF biomarkers (pg/mL) overall and stratified by sex Note: All β‐values are presented as pg/mL for all CSF biomarkers, except Aβ42/Aβ40, which is a ratio. Abbreviations: Aβ, amyloid beta; CI, confidence interval; CSF, cerebrospinal fluid; NfL, neurofilament light chain; p‐tau, tau phosphorylated at amino acid 181; t‐tau, total tau. The associations of serum urate with CSF biomarkers were determined using linear regression models with serum urate as the independent variable. bThe above linear regression models were additionally adjusted for sex.

Serum urate and APOE ε4 interaction

There was an interaction between serum urate and APOE ε4 status in relation to the association between urate and Aβ42 in the sex‐adjusted (β [95% CI] = 0.73 pg/mL [0.01 to 1.45], P interaction = .04) analysis (Table 3). In sex‐stratified groups, the significant serum urate–APOE ε4 interaction was observed in relation to Aβ42 in males (β [95% CI] = 1.24 pg/mL [0.17 to 2.31], P interaction = .02), but not females (β [95% CI] = 0.28 pg/mL [–0.87 to 1.43], P interaction = 0.69; Table 3). The analysis did not indicate an interaction between serum urate and APOE ε4 status in relation to an association between serum urate and Aβ40, Aβ42/Aβ40 ratio, tau biomarkers and NfL, neither in sex‐adjusted nor in sex stratified analyses (Table 3).
TABLE 3

The level and statistical significance of an interaction term between serum urate and APOE ε4 status in models evaluating the association between serum urate and CSF biomarkers

Unadjusted a Adjusted b MalesFemales
CSF markerβ (95% CI) P β (95% CI) P β (95% CI) P β (95% CI) P
42 0.77 (0.05 to 1.49).030.73 (0.01 to 1.45).041.24 (0.17 to 2.31).020.28 (–0.87 to 1.43).63
40 1.22 (–3.84 to 6.29).631.03 (–4.04 to 6.11).694.73 (–2.62 to 12.1).21‐2.55 (–10.79 to ‐5.68).54
42/Aβ40 4.4e‐04 (–2.2e‐04 to 1.1e‐03).183.9e‐04 (–2.6e‐04 to 1.05e‐03).248.1e‐04 (–2.2e‐04 to 1.8e‐03).122.4e‐04 (–7.4e‐04 to 1.2e‐03).62
p‐tau–0.01 (–0.07 to 0.05).67–0.01 (–0.07 to 0.03).680.01 (–0.08 to 0.10).81–0.06 (–0.16 to 0.03).21
t‐tau0.02 (–0.46 to 0.49).940.03 (–0.45 to 0.51).910.16 (–0.55 to 0.89).64–0.27 (–1.03 to 0.48).47
NfL–1.43 (–3.86 to 0.99).24–1.34 (–3.77 to 1.09).270.39 (–2.77 to 3.55).81–3.08 (–7.4 to 1.24).16

Note: All β‐values and their P‐values are presented for interaction.

Abbreviations: CSF, Cerebrospinal fluid; Aβ, Amyloid beta; t‐tau, total tau; p‐tau, tau phosphorylated at amino acid 181; NfL, neurofilament light chain; β (95% CI), Beta/effect estimate (95% confidence interval); p, P‐value.

The "serum urate x APOE ε4" interaction term was included as an additional independent variable (along with serum urate) in the multiple linear regression models.

bThe above linear regression models were additionally adjusted for sex.

The level and statistical significance of an interaction term between serum urate and APOE ε4 status in models evaluating the association between serum urate and CSF biomarkers Note: All β‐values and their P‐values are presented for interaction. Abbreviations: CSF, Cerebrospinal fluid; Aβ, Amyloid beta; t‐tau, total tau; p‐tau, tau phosphorylated at amino acid 181; NfL, neurofilament light chain; β (95% CI), Beta/effect estimate (95% confidence interval); p, P‐value. The "serum urate x APOE ε4" interaction term was included as an additional independent variable (along with serum urate) in the multiple linear regression models. bThe above linear regression models were additionally adjusted for sex.

Association between serum urate and CSF biomarkers in APOE ε4 stratified groups

In regression analyses, stratified by presence of the APOE ε4 allele and adjusted for sex, the positive association between serum urate and Aβ42 was only observed in APOE ε4 carriers (β [95% CI] = 0.88 pg/mL [0.23 to 1.54], P = .008). Serum urate was not associated with Aβ42 in APOE ε4 non‐carriers (β [95% CI] = 0.08 pg/mL [‐0.37 to 0.54], P = .71) (Table 4). Similar positive association was observed between serum urate and Aβ42/Aβ40 ratio (β [95% CI] = 7.7E‐04 [7.1E‐05 to 1.4E‐03], P = .03) only in APOE ε4 carriers in sex‐adjusted analysis (Table 4). No significant associations were found in APOE ε4 carriers for t‐tau, p‐tau and NfL (Table 4). In sex‐stratified analyses, levels of serum urate were positively associated with Aβ42 in APOE ε4 carriers only among men (β [95% CI] = 1.28 pg/mL [0.29 to 2.27], P = .01), and not among women (Table 4). There was also a trend for a positive association between serum urate and Aβ42/Aβ40 ratio (β [95% CI] = 9.4E‐04 [–8.0E‐05 to 1.9E‐03], P = .07) in APOE ε4‐carrying men (Table 4).
TABLE 4

Associations of serum urate (μmol/L) with CSF biomarkers (pg/mL) in APOE ε4‐stratified groups

Unadjusted a Adjusted b MalesFemales
β (95% CI) P β (95% CI) P β (95% CI) P β (95% CI) P
42
APOE ε4+0.74 (0.12 to 1.37).020.88 (0.23 to 1.54).0081.28 (0.29 to 2.27).010.42 (–0.39 to 1.25).30
APOE ε4––0.02 (–0.43 to 0.37).890.08 (–0.37 to 0.54).710.03 (–0.53 to 0.61).890.14 (–0.59 to 0.88).69
40
APOE ε4+0.07 (–4.39 to 4.55).970.71 (–4.00 to 5.42).762.90 (–3.74 to 9.54).38–1.81 (–8.68 to 5.06).59
APOE ε4––1.14 (–3.94 to 1.65).42–0.71 (–3.86 to 2.43).65–1.83 (–5.89 to 2.23).370.74 (–4.24 to 5.74).76
42/Aβ40
APOE ε4+5.7e‐04 (‐1.1e‐04 to 1.2e‐03).097.7e‐04 (7.1e‐05 to 1.4e‐03).039.4e‐04 (–8.0e‐05 to 1.9e‐03).075.8e‐04 (–4.1e‐04 to 1.5e‐03).23
APOE ε4–1.3e‐04 (–1.9e‐04 to 4.5e‐04).432.2e‐04 (–1.4e‐04 to 5.8e‐04).231.3e‐04 (–3.8e‐04 to 6.4e‐04).613.4e‐04 (–1.9e‐04 to 8.8e‐04).21
p‐tau
APOE ε4 +–0.01 (–0.07 to 0.04).66–0.02 (–0.08 to 0.05).57–0.01 (–0.11 to 0.08)0.83–0.03 (–0.12 to 0.06).53
APOE ε4 ––0.001 (–0.03 to 0.03).960.002 (–0.03 to 0.03).88–0.02 (–0.06 to 0.02)0.320.03 (–0.02 to 0.08).23
t‐tau
APOE ε4+–0.02 (–0.54 to 0.49).93–0.08 (–0.63 to 0.46).760.01 (–0.76 to 0.79).96–0.19 (–1.01 to 0.61).62
APOE ε4––0.04 (–0.26 to 0.18).72–0.05 (–0.30 to 0.19).68–0.15 (–0.47 to 0.17).350.08 (–0.31 to 0.47).68
NfL
APOE ε4+–1.44 (–3.51 to 0.62).16–1.53 (–3.71 to 0.65).16–0.75 (–2.58 to 1.07).41–2.43 (–6.89 to 2.03).27
APOE ε4––0.01 (–1.38 to 1.35).98–0.37 (–1.91 to 1.17).63–1.14 (–3.26 to 0.97).280.65 (–1.64 to 2.96).57

Note: All β‐values are presented as pg/mL for all CSF biomarkers, except Aβ42/Aβ40, which is a ratio.

Abbreviations: Aβ, amyloid beta; APOE ε4+, individuals carrying apolipoprotein E risk allele; APOE ε4–, individuals carrying other/normal allele; CI, confidence interval; CSF, cerebrospinal fluid; NfL, neurofilament light chain; p‐tau, tau phosphorylated at amino acid 181; t‐tau, total tau.

The associations of serum urate with CSF biomarkers were determined using linear regression models with serum urate as the independent variable.

The above linear regression models were additionally adjusted for sex.

Associations of serum urate (μmol/L) with CSF biomarkers (pg/mL) in APOE ε4‐stratified groups Note: All β‐values are presented as pg/mL for all CSF biomarkers, except Aβ42/Aβ40, which is a ratio. Abbreviations: Aβ, amyloid beta; APOE ε4+, individuals carrying apolipoprotein E risk allele; APOE ε4–, individuals carrying other/normal allele; CI, confidence interval; CSF, cerebrospinal fluid; NfL, neurofilament light chain; p‐tau, tau phosphorylated at amino acid 181; t‐tau, total tau. The associations of serum urate with CSF biomarkers were determined using linear regression models with serum urate as the independent variable. The above linear regression models were additionally adjusted for sex.

DISCUSSION

We found a protective effect of serum levels of urate on levels of CSF Aβ42 in cognitively unimpaired men from a representative population of 70‐year‐olds in Gothenburg, Sweden. The association was further strengthened in the presence of the APOE ε4 allele. No such associations were observed in women. Our findings indicate that higher urate is protective very early in the pathological process of AD. Three longitudinal studies have investigated the association between urate and risk of late‐life dementia, with conflicting results. , , Our findings are in line with two of these studies. The Dutch Rotterdam Study showed a decreased risk of AD in individuals with higher serum urate concentration, and a recent study from our group in women from Gothenburg reported an association between higher serum urate and lower risk for dementia during 44 years follow‐up, regardless of dementia subtypes. These, and our present study, suggest a protective role of urate in relation to dementia development. To date, only one study has investigated the association between serum urate and in vivo pathology of dementia in non‐demented individuals. While the study did not find an association between serum urate and cerebral Aβ deposition, it did report an association between urate and AD signature cerebral glucose metabolism, which, in turn, indicates a possible relationship between serum urate and AD and supports our findings. The different results to our study may partially be explained by the differences in the study populations (i.e., ethnicity, selection, age range); analysis (no sex‐stratified analysis in Kim et al. ); and the methods used for the detection of amyloid deposition, positron emission tomography (PET) scan in Kim et al. and CSF markers by us, which may differ with regard to the timing, sensitivity, and specificity for the detection of Aβ deposition. The positive association between serum urate and Aβ42 was only observed in men. While our finding of higher concentrations of serum urate in males compared to females is consistent with the literature, , the reason for the sex differences for an association with Aβ42 is unclear. This might partially be due to the generally higher levels of urate in men, and that levels in women in the age group included in our study are too low to exert a protective effect. Another reason might be the higher prevalence of dementia in women aged 85 years and over than in men, for whom the prevalence remains fairly stable after 80 to 85 years. , Other factors, such as higher life expectancy in Swedish women than men on an average of 3 years, which is mainly attributed to hormonal and genetic differences between the two, may also have contributed to our results. Difference in both hormonal and genetic factors has also been attributed to higher prevalence and incidence of dementia among women after age 80. We have previously reported that higher urate in midlife was associated with a lower incidence of late‐life AD in women. Most women in that study developed dementia around age 80. Longitudinal studies of the present cohort will help to elucidate if similar associations will occur in women at higher ages. We also observed that the association between serum urate and CSF Aβ42 was mainly found in men possessing the APOE ε4 allele. The APOE ε4 allele is the major genetic risk factor for late‐onset AD and the frequency of this allele has been reported to be ≈15% in the Swedish population. We and others have reported that the APOE ε4 allele is a predictor for Aβ42 pathology in cognitively unimpaired individuals. , The same allele has also been reported to be associated with primary hyperuricemia in Chinese men, a finding which we could not confirm. Nevertheless, our results suggest that the presence of the APOE ε4 allele enhances the protective effect of urate for Aβ42. Individuals with the APOE ε4 allele develop dementia earlier than other individuals, and may also develop pathological Aβ42 earlier. We have previously reported that levels of CSF Aβ42 are lower among those with the APOE ε4 allele in this sample. One explanation for why we only saw the protective effect in males may be the relatively higher serum urate levels compared to females. Longitudinal analyses of our and other data sets will enlighten if this is also seen in women at higher ages, if pathology in tau and other CSF biomarkers’ patterns develops subsequently, and whether there is any cut‐off in levels of serum urate for these effects. It needs to be emphasized that our study was performed in cognitively unimpaired individuals; that is, before the development of dementia. Amyloid and tau pathology in CSF, indicating preclinical AD, are very common in older individuals with normal cognitive function. , We found positive associations between serum urate and Aβ42, but no associations with CSF levels of p‐tau and t‐tau. It might be that urate exerts a protective role very early in the disease process. Several studies suggest that a decrease in CSF Aβ42 is the first stage in the AD process, occurring two to three decades before clinical symptoms. , , This change is paralleled by increased phosphorylation and secretion of tau proteins from neurons, most likely as a neuronal response to Aβ pathology. Some years later, 10 to 15 years before symptoms, tau tangle pathology and neurodegeneration appear. The former can be detected using tau PET and CSF tau fragments including the microtubule‐binding region, , while the latter can be monitored using longitudinal brain imaging and CSF NfL. The progress from such pathological patterns of biomarkers to dementia onset is often accompanied by oxidative damage to neuronal lipids and proteins that is mainly caused by overproduction of reactive oxygen species (ROS). Increased brain levels of redox‐active metal ions, such as copper and iron, have been reported in brain regions with high Aβ plaque load in AD patients. When loosely bound to the plaques, these metals can efficiently catalyze the production of ROS, thus contributing to increased oxidative stress. Urate, as the major inherent antioxidant in the human body, is believed to have been selected (during primate evolution) as the first‐line defense mechanism to protect the cells against such oxidative insults. Possible mechanisms behind the protective role of urate in AD include the ability of urate to scavenge free radicals and inhibit lipid peroxidation and protein modification, which may be involved in Aβ42 plaque formation. Urate is also known to possess metal (iron and copper)–chelating properties, which possibly might be another mechanism by which urate has a protective effect against Aβ42‐induced oxidative stress. However, the positive association of serum urate with CSF Aβ42 concentration suggests that the main effect of urate may be increasing the solubility of Aβ42, potentially by mitigating the catalyzing effect lipids and metals may have on Aβ42 aggregation. We did not find any association between serum urate and CSF levels of Aβ40, speaking against a primary effect of urate on amyloidogenic APP processing and secretion. Although Aβ42 constitutes only 10% of the Aβ isoforms that are synthesized as a result of proteolytic cleavage of APP, it aggregates in the brain at a much faster rate than Aβ40. Moreover, studies have reported that CSF Aβ40 remains unchanged or increased only slightly in AD. , Considering that a rise in CSF Aβ40 directly reflects increased amyloidogenic APP processing, and that we did not observe an association between serum urate and CSF Aβ40, this potential confounder has been removed. This finding is further strengthened by a positive trend for an association, similar to Aβ42, between serum urate and Aβ42/Aβ40 ratio. As a number of studies have reported that Aβ42/Aβ40 ratio is a promising biomarker for AD, , these results support AD‐specific, and possibly Aβ42‐dependent, protective effects of urate in cognitively unimpaired individuals. We also did not observe any association between serum urate and CSF NfL, which indicates that urate does not have an effect on unspecific neurodegeneration in AD. It has been indicated in the literature that axonal damage due to increased levels of CSF NfL occurs very late in AD, even after tau pathology have been settled; however, this change is not only less pronounced but also seems to progress with age regardless of Aβ pathology. We speculate that the Aβ42‐dependent protective effect of urate may have been the primary reason we did not find an association between serum urate and CSF NfL. Appearance of axonal damage is far later in the AD process. Nevertheless, this speculation is less supported in light of our findings. The study has several strengths. First, it reports the association of serum urate with CSF biomarkers of preclinical AD in a representative population‐based sample of healthy older people. Second, the population had a relatively high response rate for LP and a comprehensive neuropsychiatric examination that was conducted by trained nurses. Third, the study confirms the protective role of urate in AD risk, and provides, for the first time, evidence for an interaction of APOE ε4 risk allele with serum urate for a possible contribution to the protective effect. Fourth, the exhaustive list of biomarkers examined made it possible to focus the mechanism underlying the associations on Aβ42 solubility; no associations of serum urate concentration with markers of amyloidogenic APP processing, tau secretion and phosphorylation, or neurodegeneration were detected. The study also has some limitations. First, selection bias might have occurred due to the lower percentage of individuals for whom the CSF data were available. However, this issue has been addressed in detail in a previous study that found trivial differences for several demographic and clinical variables between the CSF group and the rest of the population. Second, the cross‐sectional design precludes the possibility to study direction of associations. Third, our study population included only Sweden‐based 70‐year‐olds. Our results can therefore not be generalized to other age groups and populations. Fourth, considering the cross‐sectional design of the study and that we saw associations between urate and Aβ42 only in men and not for other AD biomarkers it cannot be excluded that our findings are spurious (or “by chance”). The findings, therefore, need to be confirmed in other settings and through follow‐up of the present cohort with description of how these associations translate in the other AD biomarkers and also possibly develop in women at higher ages. Fifth, as there is a difference in the risk of late‐onset AD between APOE ε4 homozygotes and heterozygotes, keeping them in one group may have served as another possible limitation in our study. However, as the sample size for APOE ε4 homozygotes was very small (n = 7), we kept these two groups together as APOE ε4 carriers while performing all analyses to avoid spurious results.

Conclusions

In cognitively healthy 70‐year‐old men predisposed for AD (APOE ε4 carriers), we identified an association indicating a protective effect of serum urate against Aβ42 deposition in the AD process. If confirmed in other settings and in longitudinal analyses, urate may thus be a modifiable risk factor, available for interventions that may alter the course of AD.

CONFLICTS OF INTEREST

Tahzeeb Fatima, Lennart T.H. Jacobsson, Anna Zettergren, Mats Dehlin, and Ingmar Skoog declare no conflicts of interest. Silke Kern has served as a consultant, on advisory boards for Geras Solutions, unrelated to the results presented in this paper. Kaj Blennow has served as a consultant, on advisory boards, or on data monitoring committees for Abcam, Axon, Biogen, JOMDD/Shimadzu, Julius Clinical, Lilly, MagQu, Novartis, Roche Diagnostics, and Siemens Healthineers, and is a co‐founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program, all unrelated to the results presented in this paper. Henrik Zetterberg has served on scientific advisory boards for Denali, Roche Diagnostics, Wave, Samumed, Siemens Healthineers, Pinteon Therapeutics, Nervgen, and CogRx; has given lectures in symposia sponsored by Fujirebio, Alzecure, and Biogen; and is a co‐founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program, all unrelated to the results presented in this paper.

AUTHOR CONTRIBUTIONS

Tahzeeb Fatima, Lennart T.H. Jacobsson, Mats Dehlin, and Ingmar Skoog designed the study, oversaw its execution, and generated and analyzed and/or interpreted the data/results. Kaj Blennow and Henrik Zetterberg performed the CSF biomarker measurements and interpreted the results. Tahzeeb Fatima wrote the first draft. Silke Kern, Anna Zettergren, Kaj Blennow, Henrik Zetterberg, and Lena Johansson helped to interpret the results. All authors revised the manuscript for important intellectual content and read and approved the final manuscript. Supporting material Click here for additional data file.
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