Abstract
Background
Chronic inflammation is involved in the pathophysiology of dementia, but the association of serum immunoglobulins with dementia has been understudied and longitudinal data are currently lacking. We investigated the association of serum immunoglobulin (Ig) A, G, and M with cognition and dementia in a population-based cohort.
Methods
This study was embedded in the Rotterdam Study. Participants with information on serum immunoglobulin levels, measured between 1997 and 2009, were followed for incident dementia until 2016. Assessment of cognitive function and dementia was performed according to validated tests and clinical criteria respectively. We studied the association between serum immunoglobulins with prevalent and incident dementia using logistic regression and Cox proportional hazards regression analyses respectively. We performed linear regression analyses to quantify the cross-sectional association of serum immunoglobulins with global cognition as well as separate cognitive tests. Analyses were adjusted for age, sex, lifestyle, and cardiovascular factors.
Results
We included 8768 participants (median age of 62.2 years, 57% women, median follow-up 10.7 years). Overall, none of the immunoglobulins was associated with prevalent or incident dementia. Higher IgG levels were associated with lower scores of global cognition (adjusted standardized mean difference − 0.04; 95% confidence interval:− 0.06; − 0.02) and separate cognitive tests.
Conclusion
In middle-aged and older individuals from the general population, serum Igs were not associated with prevalent or incident dementia, which may imply that serum Igs are not involved in the pathophysiology of dementia. Although higher IgG levels were associated with worse cognitive function, studies with longitudinal data should exclude reverse causation.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Dementia is an umbrella term for a heterogeneous syndrome characterized by cognitive decline resulting in impairment of social functioning or activities of daily living [1]. Alzheimer’s disease (AD), the most prevalent dementia subtype, is characterized by cerebral deposition of the proteins Amyloid β (Aβ) and hyperphosphorylated tau, which induce gradual and permanent neuronal damage [2]. However, the pathogenesis of dementia is complex and not fully unraveled. Recent advances have contributed to the understanding that a chronic inflammatory state, involving a complex interplay between various components of the immune system, plays a key role in the development of dementia [3].
Pro-inflammatory cytokines including interleukins and tumor necrosis factor, and inflammatory proteins have been extensively studied in relation to AD [4, 5]. Pro-inflammatory cytokines have been reported to contribute to the pathogenesis and progression of dementia, possibly by promoting cerebral Aβ deposition, oxidative stress, and apoptosis, processes that can facilitate neuroinflammation [3, 6]. In contrast, the role of serum immunoglobulins (Igs) has been relatively understudied. IgA, IgG, and IgM are among the main classes of serum Igs in humans [7].
Several cross-sectional studies have investigated the relation between serum Igs and cognition and dementia [8,9,10,11]. The largest study to date (n = 122) reported higher IgA and IgG levels in cognitively impaired individuals compared to age- and sex-matched controls [9]. However, higher IgG and IgM levels were correlated with a better cognitive performance in dementia patients [8]. Studies on the relation between serum Igs and dementia reported inconclusive results as well [10, 11]. Nevertheless, randomized controlled trials (RCTs) embarked upon investigation of intravenous Ig (IVIG) supplementation as a treatment modality in AD. A meta-analysis of five RCTs was conducted to provide an overview of the safety and efficacy of IVIG in AD patients. Although safe, efficacy of IVIG in AD patients with regard to cognition could not be demonstrated, which has been speculated to be due to the advanced disease stage of the included patients or the relatively low employed IVIG dose [12]. However, it could also imply that there is no value of IVIG treatment in dementia.
To date, there are no longitudinal studies on the association between serum Igs and cognition and dementia, making it difficult to disentangle the temporality of the association. In addition, most previous studies were patient-based, had a small sample size, or did not consider potential confounders such as cardiovascular risk factors. Therefore, the association of serum Igs with cognitive function and dementia risk in individuals from the general population remains elusive. We aim to assess these associations in a large population-based cohort of middle-aged and older individuals. This may contribute to a better understanding of the pathophysiology of dementia and the rationale of IVIG treatment in dementia.
Methods
Study design and participants
This study is embedded in the Rotterdam Study, a large ongoing prospective population-based cohort study of middle-aged and older individuals residing in Ommoord, a suburb of the Dutch city of Rotterdam. Detailed information on the Rotterdam Study has previously been published [13]. In summary, the Rotterdam Study started in 1990 and had included 14,926 participants aged 45 and over by the end of 2008. The Rotterdam Study was extended with independent cohorts in 2000 and 2006. All participants are re-examined every 3–6 years. Re-examinations comprise home interviews and assessments at the research center in Ommoord. Additionally, continuous linkage with databases of general practitioners (GPs), hospitals, and regional pharmacies takes place. The Rotterdam Study has been approved by the Medical Ethics Committee of the Erasmus MC (registration number MEC 02.1015) and by the Dutch Ministry of Health, Welfare and Sport (Population Screening Act WBO, license number 1071272-159521-PG). For this study, we included participants of three independent cohorts of the Rotterdam Study (I-3, II-1, and III-1) that had measurements of serum IgA, IgG and/or IgM available in blood drawn between 1997 and 2009, had information on dementia, and had given written informed consent for follow-up.
Assessment of serum immunoglobulins
Serum Ig levels were measured in venous blood drawn at the research center. The serum samples were subsequently stored at − 80 °C and thawed for assessment between 2016 and 2018. Serum IgA, IgG, and IgM were measured with an immunoturbidimetric assay (Tina-quant® IgA/IgG/IgM Gen. 2, Roche Diagnostics GmbH, Mannheim, Germany). Coefficients of variation between batches (to assess time trends or batch effects) were 1.12–2.68% for each Ig. Coefficients of variation across batches (to assess assay precision) were 2.05–3.58% for each Ig. Reference ranges for adults according to the manufacturer’s protocol were 0.7–4.0 g/L for IgA, 7.0–16.0 g/L for IgG, and 0.4–2.3 g/L for IgM. Reference ranges based on the 2.5th–97.5th percentiles for our study population were 0.86–4.76 g/L for IgA, 6.20–15.10 g/L for IgG, and 0.28–2.64 g/L for IgM, as previously described [14].
Assessment of cognition
Cognitive function was assessed at the research center through validated tests, as described previously [15]. Available cognitive tests were the Mini-Mental State Examination (MMSE), Stroop test, letter digit substitution test (LDST), word fluency test (WFT), Purdue pegboard test (PPB), and the word learning test (WLT). The MMSE is a well-known test of global cognitive function. The Stroop test consists of three subtests to evaluate the speed of reading, speed of color naming, and interference of automated processing and attention respectively. The LDST is a test for processing speed and executive function, whereas the WFT assesses the efficiency of long-term memory retrieval. The PPB assesses dexterity and fine motor skills and was performed with the right, left, and both hands and these scores were subsequently summed. The WLT consists of three tests for the assessment of verbal learning (immediate recall), retrieval from verbal memory (delayed recall), and recognition of verbal memory (recognition). A global cognitive score (G-factor) was obtained by performing a principal component analysis (PCA) of various cognitive tests, as previously described [15]. The variance of cognitive tests explained by first principal component, for which the term G-factor is used, was 47% in cohort III, 63.4% in cohort II, and 63.2% in cohort I. All cognitive test scores were available in the included cohorts, with the exception of PPB and WLT, which were only available in cohort III-1.
Assessment of dementia
Assessment of dementia was performed at baseline and each consecutive follow-up visit. During the visit at the research center, participants were screened for dementia with the MMSE and the Geriatric Mental Schedule (GMS) organic level. Participants with a MMSE < 26 or a GMS > 0 underwent an examination and informant interview with the Cambridge Examination for Mental Disorders of the Elderly. Electronic linkage of the study database with medical records from GPs and the Regional Institute for Outpatient Mental Health Care provided additional continuous surveillance for dementia incidence for the entire cohort. A consensus panel led by a consultant neurologist, blinded for all other covariables including serum Igs, decided on the final dementia diagnosis in all cases in accordance with the DSM-III-R criteria for all-cause dementia and the NINCDS-ARDRA for the subtype of AD. Clinical neuroimaging was used as an aid to determine the subtype of dementia or to rule out other causes when needed. Dementia follow-up was completed until January 1, 2016.
Assessment of other baseline covariables
Information on smoking status, alcohol consumption, and highest attained education was obtained through questionnaires during home interviews. Smoking status was categorized as never, former, or current. Alcohol consumption was measured in gram/day and categorized into none, mild (0–10 g/day), moderate (10–20 g/day), and heavy (> 20 g/day). Apolipoprotein ε4 (APOE ε4) carrier status was defined as the presence of one or two ε4 alleles. APOE ε4 genotyping was performed with a polymerase chain reaction (cohort I-3) or bi-allelic TaqMan assay (rs7412 and rs429358; cohorts II-1 and III-1) on coded DNA samples without knowledge on dementia status. Body mass index (BMI) was measured at the research center by dividing weight by height squared (kg/m2). Blood pressure was measured at the research center at the right arm and the average of two consecutive measurements was used. Hypertension was defined as a blood pressure of ≥ 140/90 mmHg or as the use of blood pressure lowering medication with the indication of hypertension. Diabetes mellitus (DM) was defined as a fasting blood glucose concentration of ≥ 7.0 mmol/L, a non-fasting blood glucose concentration of ≥ 11.1 mmol/L (in the absence of fasting samples), or as the use of pharmacological or dietary treatment for diabetes. Information on baseline stroke and coronary heart disease (CHD) was obtained through home interviews and medical records of GPs. CHD was defined as myocardial infarction, percutaneous coronary intervention, or coronary artery bypass grafting. Total serum cholesterol was measured in mmol/L with an automated enzymatic procedure. Use of medication that may influence serum Ig levels (systemic corticosteroids, antiepileptic drugs, angiotensin converting enzyme inhibitors, cytostatics, immunomodulators, and/or immunosuppressants) was retrieved during home interviews at baseline and coded according to the anatomical therapeutic chemical system.
Statistical analyses
Serum Ig levels and cognitive test scores (except for G-factor and MMSE) were standardized to facilitate comparison of effect estimates (presented per standard deviation increase). Stroop test scores were furthermore inverted for interpretation, as lower scores reflect better cognition.
We assessed the association between serum Igs and prevalent dementia by binomial logistic regression analyses to obtain odds ratios (ORs) and 95% confidence intervals (95% CIs). Analyses were adjusted for potential confounders based on biological plausibility and previous comparable research [16, 17]. A first model was adjusted for age and sex. A second model additionally included smoking status, alcohol consumption, highest attained education, and APOE ε4 carrier status. A third model included covariables that may be mediators or confounders and comprised BMI, hypertension, total serum cholesterol, DM, history of CHD, and history of stroke additional to the first two models. There was no multicollinearity and the linearity of log odds assumption was met for all analyses. To limit the influence of transient outliers, we performed a sensitivity analysis by excluding participants with serum Ig levels outside the reference range (based on 2.5th–97.5th percentiles for this population) and users of potentially immuno-modulating medication, i.e., systemic corticosteroids, antiepileptic drugs, angiotensin converting enzyme inhibitors, cytostatics, immunomodulators, and/or immunosuppressants. Since APOE ε4 carrier status is a known risk factor of dementia with both central and systemic effects, we stratified by APOE ε4 carrier status.
After exclusion of participants with prevalent dementia, Cox proportional hazard regression analyses were performed to obtain hazard ratios (HRs) and 95% CIs for the association between serum Igs and incident dementia. Participants were followed from baseline to incident dementia, death, loss to follow-up, or January 1, 2016, whichever came first. Three models were constructed for the Cox analyses, which included the same covariables as the models for prevalent dementia with the addition of study cohort to adjust for temporal trends. The proportional hazards assumption was checked statistically and visually through the Schoenfeld test. A sensitivity analysis was performed after exclusion of participants with Ig levels outside the reference range and users of potentially immuno-modulating medication. We performed predefined stratification analyses by age (cut-off 65 years), sex, and APOE ε4 carrier status.
The association between serum Igs and cognitive test scores was assessed by linear regression analyses and presented as adjusted mean differences with 95% CIs. We included three models adjusting for similar potential confounders as in the analyses with prevalent dementia. Linearity was checked by ordinary least squares regression analyses with restricted cubic splines (three knots). In a sensitivity analysis, we excluded participants with Ig levels outside the reference range and users of potentially immuno-modulating medication. We furthermore stratified by sex.
The average percentage of missing values in covariables was 3.7% and these were imputed with multivariate imputation by chained equations (five imputations, ten iterations). Convergence was reached and the distribution of covariables before and after imputation was similar. All analyses were performed with R Statistical Software version 4.0.2. The PCA for G-factor was performed with IBM SPSS statistics version 24.0 (IBM Corp, Somers, NY).
Results
We included 8,768 participants (median age 62.2 years; 57% women) with baseline serum Ig measurements and given informed consent for follow-up. Median levels of serum Igs were 2.10 g/L for IgA, 9.70 g/L for IgG, and 0.85 g/L for IgM. At baseline, 74 participants (0.8%) had dementia. Baseline characteristics are shown in Table 1.
Association between serum immunoglobulins and prevalent dementia
IgA was not associated with prevalent dementia, although a positive trend was seen (OR 1.12; 95% CI 0.92; 1.38). Within the reference range of IgA and after exclusion of users of immuno-modulating medication, effect estimates did not materially change (Table 2). For IgG, no association was found with prevalent dementia in the full range (i.e., levels across the entire measurable range) (OR 0.99; 95% CI 0.80; 1.21). After exclusion of participants with IgG levels outside the reference range and users of immuno-modulating medication, a negative trend was observed with prevalent dementia (OR 0.80; 95% CI 0.52; 1.24) (Table 2). IgM was not associated with prevalent dementia in either the full or reference range (Table 2).
Higher IgA levels tended toward an increased odds of prevalent dementia in APOE ε4 carriers (OR 1.35; 95% CI 0.99; 1.84), although no statistically significant differences were observed between carriers and non-carriers. For IgG and IgM, no associations were seen in both APOE ε4 carriers and non-carriers (Supplementary Table S1).
Association between serum immunoglobulins and incident dementia
Due to violation of the proportional hazards assumption, longitudinal associations were presented in follow-up strata in which the assumption was met (≤ 10 years and > 10 years).
Within the first 10 years of follow-up, no associations were seen between serum Igs and dementia risk. After exclusion of participants with Ig levels outside the reference range and users of immuno-modulating medication, effect estimates were generally attenuated except for IgM (Table 3).
After 10 years of follow-up, serum Igs were not associated with incident dementia overall. However, borderline significant associations were seen in certain subgroups. Within the reference range and after exclusion of users of immuno-modulating medication, higher IgM levels were associated with a decreased risk of dementia (HR 0.78; 95% CI 0.63; 0.97) (Table 3). Sex-stratified analyses mirrored the overall findings, with women driving the association between higher IgM levels and decreased dementia risk (Supplementary Table S2).
Stratification by age did not yield statistically significant differences between participants ≤ 65 and > 65 years for the association of serum Igs with dementia risk in either follow-up time stratum (Supplementary Table S2). When stratified by APOE ε4 carrier status, no associations were found for any Ig with dementia risk in either carriers or non-carriers regardless of follow-up duration (Supplementary Table S3).
Association between serum immunoglobulins and cognition
Higher IgA levels were associated with a lower MMSE score (adjusted mean difference − 0.075; 95% CI − 0.120; − 0.029). After exclusion of participants with IgA levels outside the reference range and users of immuno-modulating medication, higher IgA was associated with a lower WFT score (adjusted mean difference − 0.032; 95% CI − 0.061; − 0.002) and a higher WLT recognition score (adjusted mean difference 0.050; 95% CI 0.001; 0.099) (Supplementary Table S4). Higher IgG levels were associated with a lower score of most cognitive tests (adjusted mean differences between − 0.03 and − 0.09), although some associations were non-linear (Figs. 1, 2, Supplementary Table S4). Exclusion of participants with IgG levels outside the reference range and users of immuno-modulating medication yielded comparable results (Supplementary Table S4). For IgM, we only found associations within the full range. Higher IgM levels were associated with a higher Stroop I score (adjusted mean difference 0.021; 95% CI 0.002; 0.041) and a lower WLT recognition score (adjusted mean difference − 0.044; 95% CI − 0.081; − 0.007) (Fig. 1, Supplementary Table S4).
Stratification by sex did not reveal any clear differential cognitive patterns between men and women. Generally, higher IgG levels were associated with lower scores of most tests in both sexes. Results were heterogeneous for IgA and IgM (Supplementary Table S5).
Discussion
In this large population-based cohort of middle-aged and older individuals, serum Ig levels were not associated with prevalent or incident dementia. Higher Ig levels (particularly serum IgG) were generally associated with worse cognitive test outcomes. However, due to the cross-sectional nature of the cognition test analyses, these results should be interpreted with caution.
Previously within the Rotterdam Study, general markers of systemic inflammation including granulocyte, lymphocyte, and platelet cell counts, were associated with an increased risk of dementia [16]. In the current study, we did not report associations of Igs with dementia risk. There are several possible explanations for a lack of association between serum Igs and dementia risk. First, it is possible that serum Igs have a negligible role in the pathophysiology of dementia, which would also be in line with the findings of previous RCTs. Second, it is possible that Igs are involved in local inflammatory processes (i.e., neuroinflammation), which may not be measurable in serum samples, but may be detectable in cerebrospinal fluid (CSF) samples instead. Due to an increased permeability of the blood–brain barrier in dementia, Igs may be elevated in the CSF due to filtration from the serum [18, 19]. A Swedish study reported higher IgG and IgM levels in the CSF of AD patients compared to healthy controls [10]. Aggregates of IgG have also been found in the corona of cerebral amyloid plaques [20, 21]. Third, it is possible that certain Ig subtypes or antigen-specific Igs are involved in the pathogenesis of dementia, whereas we only had information on total serum IgA, IgG, and IgM levels. A previous study on healthy aging reported higher anti-Aβ 42 (Aβ 42 being the most amyloidogenic peptide) IgM antibodies in healthy older blood donors (particularly women) compared to young controls. The authors furthermore found that anti-Aβ 42 IgM antibodies were lower in AD patients compared to age- and sex-matched controls, supporting the notion that these IgM antibodies contribute to heathy aging [22]. We did not find a consistent protective effect of IgM on dementia onset, suggesting that the measured Igs in our study cohort may have a low specificity to potential antigens involved in the pathophysiology of dementia. Although it has previously been argued that a lack of efficacy of IVIG in AD patients may be due to the inclusion of patients with an advanced disease stage [12], our results do not support this hypothesis, as there was no association between serum Igs and dementia risk in our population free from dementia at study baseline. This may imply that future trials should also consider other treatment options besides IVIG in dementia patients. Albumin is a large protein that can bind Aβ and inhibit Aβ fibrillization, but older age and AD are associated with structural and functional changes in albumin that render it less effective in the prevention of Aβ agglutination [23]. Recently, an RCT performed in patients with mild to moderate AD has shown that plasmapheresis with albumin replacement, with or without the addition of IVIG (to replace endogenous Ig removed by the plasmapheresis), is associated with less functional and cognitive decline [23].
Higher Ig levels were generally associated with a lower cognitive test score. This was most consistent for IgG. Previously, similar results have been reported, with higher IgA and IgG levels in cognitively impaired individuals compared to age- and sex-matched controls [9] and a negative association between the Weschler adult intelligence scale score and serum IgG in community-dwelling elderly [24]. Pro-inflammatory cytokines have been associated with worse memory, processing speed and motor function in elderly from the general population as well [25]. A review of studies performed in rodents showed that pro-inflammatory cytokines may impair cognition through a negative effect on synaptic plasticity and neurogenesis [26]. It is possible that elevated Ig levels reflect an ongoing inflammatory process with similar negative effects on the nervous system. However, our results on the association between serum Igs and cognitive function were cross-sectional. Therefore, it is unclear whether higher serum Ig levels lead to a worse cognition, or that they reflect pre-existing cognitive decline, since cognitive decline may result in a pro-inflammatory state through e.g., impairment of physical activity and dietary intake [27]. Furthermore, both elevated serum Igs and cognitive decline may be the result of a shared underlying cause. Future longitudinal studies are required to validate our findings.
If our results on the association between serum Igs and cognition indeed reflect reverse causation, one would expect a positive association between serum Igs and prevalent dementia as well. We did not demonstrate such an association. This could be due to a power issue as result of the relatively low number of prevalent dementia events in our cohort. Alternatively, pathophysiological differences between cognitive decline with retained independent functioning and dementia should be considered as well. In contrast to dementia, the blood–brain barrier permeability in mild cognitive impairment is unchanged [18]. This could imply a more important role of systemic rather than local inflammation in its pathophysiology. Serum Igs are not likely to cross into the central nervous system if the blood–brain barrier is still intact. In neurodegenerative mice with a disrupted blood–brain barrier, systemic inflammation was associated with an increased influx of serum IgG into the brain parenchyma. Furthermore, an increased cerebral expression of pro-inflammatory IgG-Fcγ receptors was reported [28]. Therefore, it is possible that clinical dementia is associated with neuro-inflammatory responses that cannot be measured in the serum.
Important strengths of our study were the large sample of community-dwelling middle-aged and older individuals, the long-term follow-up, and the extensive dementia ascertainment. We furthermore benefited from the availability of data on a wide range of potential confounders and performed additional analyses to take potential effect modification by age, sex, and APOE ε4 carrier status into account. Based on our findings, we cannot affirm pathophysiological grounds to apply IVIG treatment in individuals with pre-existing cognitive decline. Neither did we demonstrate that serum Igs may influence dementia onset over time. However, our study has certain limitations that should be addressed in future research. As mentioned above, we did not have information on Ig subclasses or antigen-specific Igs that may be involved in dementia. Furthermore, our study population is mainly Caucasian and therefore our results may not be generalizable to other populations. Lastly, studies with longitudinal data are necessary to prospectively assess the association between serum Igs and cognition in individuals from the general population.
Data availability
Data can be obtained upon request. Requests should be directed toward the management team of the Rotterdam Study (datamanagement.ergo@erasmusmc.nl), which has a protocol for approving data requests. Because of restrictions based on privacy regulations and informed consent of the participants, data cannot be made freely available in a public repository.
References
Livingston G, Sommerlad A, Orgeta V, Costafreda SG, Huntley J, Ames D et al (2017) Dementia prevention, intervention, and care. Lancet 390(10113):2673–2734. https://doi.org/10.1016/S0140-6736(17)31363-6
Raz L, Knoefel J, Bhaskar K (2016) The neuropathology and cerebrovascular mechanisms of dementia. J Cereb Blood Flow Metab 36(1):172–186. https://doi.org/10.1038/jcbfm.2015.164
Niranjan R (2018) Recent advances in the mechanisms of neuroinflammation and their roles in neurodegeneration. Neurochem Int 120:13–20. https://doi.org/10.1016/j.neuint.2018.07.003 (S0197-0186(18)30132-3[pii])
Swardfager W, Lanctot K, Rothenburg L, Wong A, Cappell J, Herrmann N (2010) A meta-analysis of cytokines in Alzheimer’s disease. Biol Psychiatry 68(10):930–941. https://doi.org/10.1016/j.biopsych.2010.06.012 (S0006-3223(10)00601-3[pii])
Engelhart MJ, Geerlings MI, Meijer J, Kiliaan A, Ruitenberg A, van Swieten JC et al (2004) Inflammatory proteins in plasma and the risk of dementia: the rotterdam study. Arch Neurol 61(5):668–672. https://doi.org/10.1001/archneur.61.5.668.61/5/668[pii]
Leonard BE (2001) Changes in the immune system in depression and dementia: causal or co-incidental effects? Int J Dev Neurosci 19(3):305–312. https://doi.org/10.1016/s0736-5748(01)00014-4
Hoffman W, Lakkis FG, Chalasani G (2016) B cells, antibodies, and more. Clin J Am Soc Nephrol 11(1):137–154. https://doi.org/10.2215/CJN.09430915
Eisdorfer C, Cohen D (1980) Serum immunoglobulins and cognitive status in the elderly: 2. An immunological-behavioral relationship? Br J Psychiatry 136:40–45. https://doi.org/10.1192/bjp.136.1.40
Cohen D, Eisdorfer C (1980) Serum immunoglobulins and cognitive status in the elderly: 1. A population study. Br J Psychiatry 136(1):33–39
Blennow K, Wallin A, Davidsson P, Fredman P, Gottfries CG, Svennerholm L (1990) Intra-blood-brain-barrier synthesis of immunoglobulins in patients with dementia of the Alzheimer type. Alzheimer Dis Assoc Disord 4(2):79–86
Alafuzoff I, Adolfsson R, Bucht G, Winblad B (1983) Albumin and immunoglobulin in plasma and cerebrospinal fluid, and blood-cerebrospinal fluid barrier function in patients with dementia of Alzheimer type and multi-infarct dementia. J Neurol Sci 60(3):465–472. https://doi.org/10.1016/0022-510x(83)90157-0
Manolopoulos A, Andreadis P, Malandris K, Avgerinos I, Karagiannis T, Kapogiannis D et al (2019) Intravenous immunoglobulin for patients with Alzheimer’s disease: a systematic review and meta-analysis. Am J Alzheimers Dis Other Demen 34(5):281–289. https://doi.org/10.1177/1533317519843720
Ikram MA, Brusselle G, Ghanbari M, Goedegebure A, Ikram MK, Kavousi M et al (2020) Objectives, design and main findings until 2020 from the Rotterdam Study. Eur J Epidemiol 35(5):483–517. https://doi.org/10.1007/s10654-020-00640-5
Khan SR, Chaker L, Ikram MA, Peeters RP, van Hagen PM, Dalm V (2021) Determinants and reference ranges of serum immunoglobulins in middle-aged and elderly individuals: a population-based study. J Clin Immunol. https://doi.org/10.1007/s10875-021-01120-5
Hoogendam YY, Hofman A, van der Geest JN, van der Lugt A, Ikram MA (2014) Patterns of cognitive function in aging: the Rotterdam Study. Eur J Epidemiol 29(2):133–140. https://doi.org/10.1007/s10654-014-9885-4
van der Willik KD, Fani L, Rizopoulos D, Licher S, Fest J, Schagen SB et al (2019) Balance between innate versus adaptive immune system and the risk of dementia: a population-based cohort study. J Neuroinflammation 16(1):68. https://doi.org/10.1186/s12974-019-1454-z
Chaker L, Wolters FJ, Bos D, Korevaar TI, Hofman A, van der Lugt A et al (2016) Thyroid function and the risk of dementia: the Rotterdam study. Neurology 87(16):1688–1695. https://doi.org/10.1212/WNL.0000000000003227 (WNL.0000000000003227[pii])
Janelidze S, Hertze J, Nagga K, Nilsson K, Nilsson C, Swedish Bio FSG et al (2017) Increased blood-brain barrier permeability is associated with dementia and diabetes but not amyloid pathology or APOE genotype. Neurobiol Aging 51:104–112. https://doi.org/10.1016/j.neurobiolaging.2016.11.017 (S0197-4580(16)30304-9[pii])
Eickhoff K, Heipertz R (1977) Discrimination of elevated immunoglobulin concentrations in CSF due to inflammatory reaction of the central nervous system and blood-brain-barrier dysfunction. Acta Neurol Scand 56(6):475–482. https://doi.org/10.1111/j.1600-0404.1977.tb01454.x
Eikelenboom P, Stam FC (1984) An immunohistochemical study on cerebral vascular and senile plaque amyloid in Alzheimer’s dementia. Virchows Arch B Cell Pathol Incl Mol Pathol 47(1):17–25. https://doi.org/10.1007/BF02890185
Eikelenboom P, Stam FC (1982) Immunoglobulins and complement factors in senile plaques. An immunoperoxidase study. Acta Neuropathol 57(2–3):239–242. https://doi.org/10.1007/BF00685397
Agrawal S, Abud EM, Snigdha S, Agrawal A (2018) IgM response against amyloid-beta in aging: a potential peripheral protective mechanism. Alzheimers Res Ther 10(1):81. https://doi.org/10.1186/s13195-018-0412-9 (10.1186/s13195-018-0412-9[pii])
Costa M, Paez A (2021) Emerging insights into the role of albumin with plasma exchange in Alzheimer’s disease management. Transfus Apher Sci 60(3):103164. https://doi.org/10.1016/j.transci.2021.103164 (S1473-0502(21)00130-0[pii])
Roseman JM, Buckley CE 3rd (1975) Inverse relationship between serum IgG concentrations and measures of intelligence in elderly persons. Nature 254(5495):55–56. https://doi.org/10.1038/254055a0
Baune BT, Ponath G, Golledge J, Varga G, Arolt V, Rothermundt M et al (2008) Association between IL-8 cytokine and cognitive performance in an elderly general population—the MEMO-study. Neurobiol Aging 29(6):937–944. https://doi.org/10.1016/j.neurobiolaging.2006.12.003 (S0197-4580(06)00464-7[pii])
McAfoose J, Baune BT (2009) Evidence for a cytokine model of cognitive function. Neurosci Biobehav Rev 33(3):355–366. https://doi.org/10.1016/j.neubiorev.2008.10.005 (S0149-7634(08)00183-8[pii])
Weyh C, Kruger K, Strasser B (2020) Physical activity and diet shape the immune system during aging. Nutrients 12(3):622. https://doi.org/10.3390/nu12030622 (nu12030622 [pii])
Lunnon K, Teeling JL, Tutt AL, Cragg MS, Glennie MJ, Perry VH (2011) Systemic inflammation modulates Fc receptor expression on microglia during chronic neurodegeneration. J Immunol 186(12):7215–7224. https://doi.org/10.4049/jimmunol.0903833 (jimmunol.0903833[pii])
Funding
This work was supported by Takeda [Grant Number IIR-NLD-002671 to V.A.S.H. Dalm]. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication. The Rotterdam Study is supported by the Erasmus MC University Medical Center and Erasmus University Rotterdam; The Netherlands Organisation for Scientific Research (NWO); The Netherlands Organisation for Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); The Netherlands Genomics Initiative (NGI); the Ministry of Education, Culture and Science; the Ministry of Health, Welfare and Sports; the European Commission (DG XII); and the Municipality of Rotterdam. This study was partly performed as part of the Netherlands Consortium of Dementia Cohorts (NCDC), which receives funding in the context of Deltaplan Dementie from ZonMW Memorabel (projectnumber 73305095005) and Alzheimer Nederland. Further funding was obtained through the Stichting Erasmus Trustfonds, grant number 97030.2021.101.430/057/RB.
Author information
Authors and Affiliations
Contributions
Conceptualization: SRK, AY, PMvH, RPP, VASHD, LC, MAI. Methodology: SRK, AY, VASHD, LC, MAI. Data collection: MKI. Formal analysis, visualization, and writing (original draft): SRK, AY. Writing (review and editing): SRK, AY, MKI, PMvH, RPP, VASHD, LC, MAI. Supervision: VASHD, LC, MAI.
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare that they have no conflict of interest.
Ethical approval
The Rotterdam Study has been approved by the Medical Ethics Committee of the Erasmus MC (registration number MEC 02.1015) and by the Dutch Ministry of Health, Welfare and Sport (Population Screening Act WBO, license number 1071272-159521-PG). The Rotterdam Study Personal Registration Data collection is filed with the Erasmus MC Data Protection Officer under registration number EMC1712001. The Rotterdam Study has been entered into the Netherlands National Trial Register (NTR; www.trialregister.nl) and into the WHO International Clinical Trials Registry Platform (ICTRP; https://apps.who.int/trialsearch/) under shared catalog number NL6645/NTR6831.
Consent to participate
All participants provided written informed consent to participate in the study and to have their information obtained from treating physicians.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Khan, S.R., Yaqub, A., Ikram, M.K. et al. The association of serum immunoglobulins with cognition and dementia: the Rotterdam Study. J Neurol 270, 423–432 (2023). https://doi.org/10.1007/s00415-022-11374-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00415-022-11374-7