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Article

Plasma IAPP-Autoantibody Levels in Alzheimer’s Disease Patients Are Affected by APOE4 Status

by
Dovilė Pocevičiūtė
1,
Bodil Roth
2,
Nina Schultz
3,
Cristina Nuñez-Diaz
1,
Shorena Janelidze
3,
The Netherlands Brain Bank
4,†,
Anders Olofsson
5,
Oskar Hansson
3,6 and
Malin Wennström
1,*
1
Cognitive Disorder Research Unit, Department of Clinical Sciences Malmö, Lund University, 214 28 Malmö, Sweden
2
Department of Internal Medicine, Lund University, Skåne University Hospital, 214 28 Malmö, Sweden
3
Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 223 62 Lund, Sweden
4
Netherlands Institute for Neuroscience, 1105 BA Amsterdam, The Netherlands
5
Department of Medical Biochemistry and Biophysics, Umeå University, 901 87 Umeå, Sweden
6
Memory Clinic, Skåne University Hospital, 212 24 Malmö, Sweden
*
Author to whom correspondence should be addressed.
†
Sophie Wehrens is a representative of the Netherlands Brain Bank.
Int. J. Mol. Sci. 2023, 24(4), 3776; https://doi.org/10.3390/ijms24043776
Submission received: 16 January 2023 / Revised: 3 February 2023 / Accepted: 9 February 2023 / Published: 14 February 2023
(This article belongs to the Special Issue Research on the Amyloid in Alzheimer’s Diseases)
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Versions Notes

Abstract

:
Pancreas-derived islet amyloid polypeptide (IAPP) crosses the blood–brain barrier and co-deposits with amyloid beta (Aβ) in brains of type 2 diabetes (T2D) and Alzheimer’s disease (AD) patients. Depositions might be related to the circulating IAPP levels, but it warrants further investigation. Autoantibodies recognizing toxic IAPP oligomers (IAPPO) but not monomers (IAPPM) or fibrils have been found in T2D, but studies on AD are lacking. In this study, we have analyzed plasma from two cohorts and found that levels of neither immunoglobulin (Ig) M, nor IgG or IgA against IAPPM or IAPPO were altered in AD patients compared with controls. However, our results show significantly lower IAPPO-IgA levels in apolipoprotein E (APOE) 4 carriers compared with non-carriers in an allele dose-dependent manner, and the decrease is linked to the AD pathology. Furthermore, plasma IAPP-Ig levels, especially IAPP-IgA, correlated with cognitive decline, C-reactive protein, cerebrospinal fluid Aβ and tau, neurofibrillary tangles, and brain IAPP exclusively in APOE4 non-carriers. We speculate that the reduction in IAPPO-IgA levels may be caused by increased plasma IAPPO levels or masked epitopes in APOE4 carriers and propose that IgA and APOE4 status play a specific role in clearance of circulatory IAPPO, which may influence the amount of IAPP deposition in the AD brain.

1. Introduction

Alzheimer’s disease (AD) is a heterogenous disorder characterized by an accumulation of extracellular amyloid beta (Aβ) plaques and hyperphosphorylated tau (p-tau), forming the so-called intraneuronal fibrillary tangles (NFT) [1,2]. The disease occurs in familial and sporadic forms, where the latter accounts for more than 90% of the disease cases [3]. The highest risk factor of sporadic AD is age, but carrying certain gene isoforms has also been shown to significantly increase the risk of AD [4,5]. The most studied AD risk gene is apolipoprotein E (APOE), whose encoded protein APOE mediates the binding of lipoproteins or lipid complexes in the plasma or interstitial fluids to specific cell-surface receptors [6]. There are three main isoforms: APOE2, APOE3, and APOE4. The APOE2 is the least common isoform, whereas APOE3 is the most common, carried by 8% and 77% of the population, respectively [7]. While APOE2 appears to be protective against sporadic AD [8], the APOE4 variant is strongly associated with an increased risk of AD [7], and the age of AD onset decreases with the number of APOE4 alleles [9]. In what way APOE4 contributes to AD pathology is still under investigation, but experimental studies have demonstrated that APOE4 exacerbates the Aβ plaque and tau burden and disrupts glial immunomodulating functions leading to chronic inflammation [10].
Sporadic AD is also associated with disorders linked to vascular dysfunction. In particular, type 2 diabetes (T2D) has been put forward, as the risk of developing AD is 1.5-fold higher in this patient group [11]. The risk is strongly linked to the vascular complications associated with the disease [12], but previous studies have also highlighted a potential implication of islet amyloid polypeptide (IAPP, also called amylin, insulinoma amyloid peptide, or diabetes-associated peptide). This 37-amino acid-long pancreas-derived peptide is known to form toxic deposits in peripheral organs (e.g., pancreas, kidney, and heart) in T2D patients [13], but studies have shown that it also forms deposits in the brain, often in vessel walls [14,15]. These depositions are linked to vessel wall disruption in both T2D patients and rats overexpressing human IAPP [16]. Since IAPP has also been found in AD hippocampal tissue as inclusions within vessel-supporting pericytes showing apoptotic features [17], it is tempting to speculate that IAPP accumulation plays a role in the increased risk of AD in T2D patients with vascular complications. Indeed, evidence points towards a link between AD pathology and IAPP. Immunohistological stainings show that IAPP often co-localizes with Aβ42 in plaques and Aβ40 in vessel walls [14,15]. Furthermore, a recent study using human and animal models has demonstrated that pancreas-derived IAPP accumulates in circulating monocytes and co-deposits with Aβ within the brain microvasculature, further inducing cerebrovascular inflammation [18]. IAPP (and its non-amyloidogenic analogue pramlintide) also plays a crucial role in Aβ brain-to-blood clearance [18,19,20]. Interestingly, this clearance, especially of Aβ40, is attenuated in the presence of APOE4 [21], leading to an exacerbated IAPP deposition and vascular pathology [16]. APOE has also been shown to interfere with IAPP aggregation in an allele-dependent way and protect pericytes from IAPP-induced toxicity, with the APOE4 variant being the least protective [22].
To investigate the potential link between IAPP and AD pathology further, we have, in a previous study, measured plasma IAPP levels in AD patients and healthy controls [23]. Although we found an inverse correlation between plasma IAPP levels and cerebrospinal fluid (CSF) Aβ levels in AD patients (indicative of Aβ accumulation in the brain) [23], we did not detect any significant differences in plasma IAPP levels between AD patients and healthy controls. Our plasma samples were, however, not fasting samples; hence, the individual and circadian fluctuations of IAPP could have influenced the results. Within the T2D research field, this problem has been worked around by measuring endogenous IAPP-autoantibody levels instead, since these could reflect the IAPP levels without the influence of the circadian fluctuations. This idea is partly based on a previous mouse study demonstrating increased levels of immunoglobulin (Ig) G against aggregated but not soluble IAPP after injection with a vaccine containing IAPP peptides [24]. Furthermore, higher blood levels of IAPP-autoantibodies have been found in T2D patients compared with non-diabetic subjects [25], and specific autoantibodies directed against IAPP oligomers (but not monomers or fibrils) have been exclusively found in diabetic patients [26], confirming the pathological relevance of the amyloidogenic peptide in T2D.
Autoantibodies are self-reactive antibodies found in the blood, colostrum, saliva, and CSF of all mammals, regardless of age, sex, or the presence of disease. The most prominent Ig isotypes are IgM, IgG, and IgA, where IgM is produced by B cells in the primary immune response. B cells subsequently differentiate into other types of B cells which produce IgG and, in a smaller amount, IgA. The former is one of the most abundant proteins in human blood, produced in a delayed response to an infection, while the latter, found monomeric in serum and dimeric in mucosa (e.g., saliva, tears, colostrum, intestinal and genital tract, and respiratory secretions), far exceeds the combined total amounts of all other Ig isotypes [27]. Autoantibodies against most endogenous proteins have been found in mammalian blood and, interestingly, autoantibodies against Aβ, cellular enzymes, glial markers, lipid molecules, neurotransmitters and related receptors, tau, and vasculature-related molecules have been found altered in AD patients [28]. Given the proposed link between IAPP and AD pathology, we hypothesize that AD patients with IAPP brain pathology, just like T2D patients, demonstrate altered levels of IAPP-autoantibodies. Since, in a previous study, we have shown an APOE allele-dependent association between plasma IgA levels and AD pathology [29], and regarding the proposed pivotal role for APOE in brain IAPP accumulation, aggregation, and vasculopathy, we further found it interesting to investigate if IAPP-autoantibody levels are affected by APOE4 status.

2. Results

2.1. Plasma IAPP-Autoantibody Levels in Relation to AD Pathology

The study was initiated by measuring levels of plasma IgA, IgG, and IgM against IAPP monomers (IAPPM-Ig) and IAPP oligomers (IAPPO-Ig). We did not find any differences in levels of any of the IAPP-Igs between non-demented controls (NC) and AD patients in Cohort I (Table S1). In Cohort II, only IAPPO-IgA levels were significantly higher in +Aβ cases compared with −Aβ (Figure 1A, Table S2). However, this significance was lost after controlling for T2D, and the levels of the rest of the IAPP-Igs remained indifferent between +Aβ and −Aβ cases after the correction (Table S2). Levels of none of the IAPP-Igs differed between males and females in Cohort I (Table S3) and Cohort II (Table S4) regardless of controlling for T2D.

2.2. Plasma IAPP-Autoantibody Levels in Relation to APOE4 Status

Next, we investigated the difference in plasma IAPP-autoantibody levels in APOE4 carriers and non-carriers. In Cohort I, the levels of IAPPO-IgA were significantly lower in APOE4 carriers compared with non-carriers (Figure 1B, Table S1). In addition, there was an APOE4 allele-dependent effect, where APOE44 carriers had significantly lower IAPPO-IgA levels compared with APOE33 and APOE34 carriers (Figure 1C). None of the other IAPP-Igs (i.e., IAPPM-IgA, IAPPM-IgG, IAPPO-IgG, IAPPM-IgM, and IAPPO-IgM) differed between APOE4 carriers and non-carriers (Table S1) or demonstrated an allele-dependent effect (Table S5). In Cohort II, none of the Igs differed between APOE4 carriers and non-carriers (Table S2), and although a similar trend toward an APOE4 allele-dependent effect was noted regarding IAPPO-IgA levels (Figure 1D), this trend was not significant either before or after controlling for T2D (p = 0.145 vs. p = 0.515, respectively).
To further investigate the impact of APOE4 status, we stratified Cohort I into APOE4 carriers and non-carriers. Both IAPPO-IgA (Figure 1E) and IAPPO-IgM (227.38 ± 83.37 vs. 205.37 ± 241.17, p = 0.023, respectively) levels were significantly higher in AD patients compared with NC in APOE4 non-carriers. In contrast, in APOE4 carriers, the IAPPO-IgA levels were significantly lower in AD patients compared with NC (Figure 1F). In addition, the levels of IAPPO-IgA and IAPPM-IgA in APOE4-carrying AD patients were significantly lower compared with AD patients not carrying the APOE4 allele (12.16 ± 7.14 vs. 29.46 ± 6.67, p < 0.001 and 5.95 ± 3.48 vs. 10.84 ± 5.72, p = 0.009, respectively). The levels of IAPP-IgM and IAPP-IgG were unaffected when comparing APOE4 carriers and non-carriers regardless of AD diagnosis or IAPP aggregation status (Table S6).

2.3. Plasma IAPP Levels in Cohort I and II

To further investigate if APOE4 status influences plasma IAPP levels, we further analyzed the previously measured IAPP levels in Cohort I [23] and measured IAPP levels in post mortem-collected plasma of Cohort II. As previously described, plasma IAPP levels in Cohort I did not differ significantly between NC and AD patients (Table S7) [23]. In addition, we found no significant differences in plasma IAPP levels between APOE4 carriers and non-carriers (321.33 ± 181.15 vs. 245.01 ± 135.37, respectively, p = 0.138). Interestingly, IAPP levels were close to significantly higher in AD patients compared with NC in APOE4 non-carriers (319.37 ± 182.17 vs. 219.27 ± 107.80, respectively, p = 0.061), while IAPP levels in APOE4-carrying AD patients and NC were unchanged (315.72 ± 153.68 vs. 328.70 ± 217.18, respectively, p = 0.751). The plasma IAPP levels in Cohort II did not differ significantly between +Aβ and −Aβ cases (Table S8) or between APOE4 carriers and non-carriers (253.37 ± 34.81 vs. 244.29 ± 18.66, respectively, p = 0.914), regardless of controlling for T2D (p = 0.390 and p = 0.436, respectively).

2.4. Brain IAPP Levels in Cohort II

To investigate the relationship between APOE4 status and IAPP in the brain, we next analyzed IAPP levels in the soluble fraction (IAPP-SF) and the insoluble fraction (IAPP-IF) of brain homogenates from cases in Cohort II. Neither the brain IAPP-SF levels nor IAPP-IF levels differed between +Aβ and −Aβ cases or between APOE4 carriers and non-carriers (Table S2). After controlling for T2D, the brain IAPP-SF and IAPP-IF levels still did not differ between +Aβ and −Aβ cases or between APOE4 carriers and non-carriers (Table S2). The visual representation of brain IAPP-SF and IAPP-IF of −Aβ and +Aβ cases can be found in Figure S1.

2.5. Correlations with Plasma IAPP-Autoantibody Levels

Next, we analyzed the correlations between the plasma IAPP-autoantibody levels and memory test scores, CSF AD biomarker levels, CRP levels, plasma IgA levels, plasma IAPP levels, brain IAPP levels, and neuropathological scoring. The levels of IAPP-IgA (both IAPPM-IgA and IAPPO-IgA) correlated with total IgA in all groups, APOE4 non-carriers, and APOE4 carriers in both cohorts (Table 1). In APOE4 non-carriers of Cohort I, both IAPPM-IgA and IAPPO-IgA correlated with CRP, CSF Aβ42, and a CSF Aβ42/40 ratio (Table 1, Figure 2A). The IAPPO-IgA also correlated with MMSE and CSF Aβ40 in these individuals (Table 1, Figure 2B,C). In APOE4 carriers, only CSF Aβ42/40 correlated with IAPPO-IgA (Table 1). In Cohort II, both IAPPM-IgA and IAPPO-IgA correlated with plasma IAPP in all groups and in APOE4 non-carriers (Table 1, Figure 2D). In addition, brain NFT scores correlated with IAPPO-IgA in all groups and with IAPPM-IgA in both APOE4 non-carriers and carriers (Table 1). Lastly, brain IAPP-SF correlated with IAPPO-IgA in all groups and with both IAPPO-IgA and IAPPM-IgA in APOE4 non-carriers (Table 1).
In Cohort I, levels of both IAPPM-IgG and IAPPO-IgG correlated with AQT and plasma IAPP levels. When stratified upon APOE4 status, APOE4 non-carriers demonstrated correlations between both IAPPM-IgG and IAPPO-IgG and plasma IAPP as well as CSF Aβ42/40 (Table 2). IAPPM-IgG also correlated with CSF Aβ42 (Table 2). In APOE4 carriers, both IAPPM-IgG and IAPPO-IgG correlated with AQT, and IAPPO-IgG correlated with plasma IAPP (Table 2). Finally, in Cohort II, IAPPM-IgG levels correlated with plasma IAPP levels in all groups and in APOE4 non-carriers, and with brain Aβ scores exclusively in APOE4 carriers (Table 2). In addition, IAPPM-IgG levels correlated with brain IAPP-SF in APOE4 non-carriers, and IAPPO-IgG correlated with brain IAPP-IF in APOE4 carriers (Table 2).
Finally, in Cohort I, levels of IAPPO-IgM correlated with CSF Aβ42 and CSF Aβ42/40 in all groups (Table 3). In APOE4 non-carriers, levels of both IAPPM-IgM and IAPPO-IgM correlated with CSF p-tau (Table 3). The IAPPO-IgM also correlated with MMSE, ADAS-Cog, CSF Aβ42, and CSF Aβ42/40 (Table 3). These correlations were not found in APOE4 carriers (Table 3). Levels of IAPPM-IgM in all groups of Cohort II were associated with increased plasma IAPP but lowered brain IAPP-SF and IAPP-IF. The two former correlations were also found in APOE4 non-carriers, but the correlation with brain IAPP-IF was no longer significant in the APOE4 group (Table 3).

3. Discussion

The current study aimed to investigate the presence of autoantibodies against monomeric and oligomeric IAPP to further narrow down whether alterations in peripheral production, aggregation, or/and clearance of IAPP are implicated in AD. Our analysis showed that neither IAPP-IgG nor IAPP-IgM levels differed between AD and NC in Cohort I or between +Aβ and −Aβ cases in Cohort II. In contrast, an increase in IAPPO-IgA levels was detected in +Aβ cases compared with −Aβ in Cohort II, but this increase was not found in the larger Cohort I. Hence, at a first glance, it appears as if an alteration in monomeric or oligomeric IAPP levels is not implicated in AD and neither is the availability of Igs against the different IAPP aggregation forms. However, when we divided the cohorts based on APOE4 status (a well-known AD risk factor), the APOE4 carriers in Cohort I demonstrated significantly lower IAPPO-IgA levels compared with non-carriers. Interestingly, this reduction was not seen in IAPPM-IgA levels or levels of the other two Ig isotypes (regardless of IAPP aggregation status), suggesting that the IgA clearance of IAPPO is specifically affected in APOE4 carriers. The largest reduction was seen in homozygous APOE4 carriers, emphasizing the impact of the APOE polymorphism on the IAPPO-IgA levels.
The underlying cause to this APOE4-dependent reduction in IAPPO-IgA levels is difficult to speculate upon, as the literature lacks studies investigating the relationship between APOE isoforms and IAPP-autoantibodies. However, there are a few studies on Ig in knock-in mice expressing human APOE that may be instructive to consider. For instance, a smaller number of antibody-producing B cells has been found in the spleen and blood of APOE4-transgenic mice compared with mice expressing APOE3 [30], which could, in turn, result in lower levels of antibodies in general. Another study has demonstrated lower total IgG and IgA levels in the spleen of APOE4 knock-in mice compared with APOE3, but the levels of IgG2a subtype and IgM were quite high in APOE4 mice, suggesting differential Ig class switching in APOE4 mice compared with APOE3 or APOE2 mice [31]. Since cytokines secreted by T helper cells can alter B cell isotype switching, the modulation of cytokine profile by APOE genotype [32,33] may be responsible for the observed alteration in Ig expression. Interestingly, in the same study, the blood Ig levels seemed to be unaltered in the APOE4 mice compared with APOE3 (except from IgG2a, which was significantly higher in APOE4 mice compared with APOE2 and APOE3 mice) [31]. Thus, it appears as if the IgA production in peripheral organs (e.g., bone marrow, spleen, lymph nodes) is, to some degree, APOE allele-dependent, but this relation cannot be detected in blood. We have recently published a study where we demonstrated unaltered levels of plasma total IgA between APOE4 carriers and non-carriers [29] in the individuals included in Cohort I of the current study. This finding supports the previous results of the APOE mice study, i.e., that APOE4 status does not affect IgA levels in the blood. Hence, we draw the conclusion that the reduced signal yielded in our IAPPO-IgA ELISA is not due to a reduction in the total IgA production. Therefore, we next investigated if the phenomenon was due to alterations in plasma IAPP levels. Although we were unable to detect significant differences in plasma IAPP levels between APOE4 carriers and non-carriers, we did note a trend toward increased IAPP levels in APOE4 carriers in Cohort I. Furthermore, the association analysis showed that plasma IAPP levels correlated positively with IAPP-IgG in Cohort I and IAPP-IgA, IAPPM-IgG, and IAPPM-IgM in Cohort II. We thus conclude that the reduction in IAPPO-IgA levels in APOE4 carriers is not due to a reduced amount of circulating IAPP. Instead, we speculate that the slightly higher plasma IAPP levels in APOE4 carriers and AD patients are due to a reduced removal of IAPP. An alternative scenario is that it is not the production of IgA or IAPP that is altered, but rather the affinity of IgA to bind IAPP. Normally, in biological fluids, both antigens and antibodies are in dynamic equilibrium between unbound and bound forms in a concentration-dependent manner. Therefore, the antigen may mask a proportion of the corresponding antibody and limit the detection of both. Such an increase in IAPP-antibody binding (or a decrease in IAPP-antibody detection) could be due to the slightly larger amounts of IAPP found in APOE4 carriers, but also potentially due to larger proportions of oligomeric IAPP in these individuals, as antibodies in general bind oligomers with a much higher affinity compared with monomers [34].
Another alternative explanation for the lowered IAPPO-IgA levels in APOE4 carriers is linked to epitope exposure. The role of APOE4 in amyloid plaque formation in the brain parenchyma and vessel walls (cerebral amyloid angiopathy) has been repeatedly studied [35,36], and several studies suggest that the binding of APOE to Aβ is implicated in Aβ aggregation [36]. The binding appears to be Aβ aggregation status- and APOE isotype-dependent, as experimental studies show that APOE binds Aβ oligomers rather than monomers and that the interaction with APOE4 is stronger compared with that of APOE3 [37]. Interestingly, AD patients carrying at least one APOE4 allele demonstrate lower levels of Aβ42-autoantibodies [38], which in theory could be due to a masked epitope caused by APOE4–Aβ oligomer binding. Since APOE also binds to oligomeric IAPP in preference to the monomeric IAPP [22], we speculate that APOE4 in the plasma binds to the IAPPo in the ELISA, and thereby mask the IgA specific IAPPO epitopes. Finally, IAPPM is a very small peptide (37 amino acids) with few epitopes (presumably 1–3 epitopes). When IAPPM oligomerizes, in analogy to all aggregation, some of its epitopes get hidden. If the epitopes of the peptide are located within such an area, then the antibodies directed against it can no longer bind. Hence, the absolute signal in our ELISA could be dependent on the IAPP epitope availability, provided that IAPP epitopes in APOE4 carriers differ from IAPP epitopes in APOE2 and APOE3 carriers.
The levels of IAPPO-IgA (and IAPPO-IgM) were significantly higher in APOE4-non-carrying AD patients compared with controls whereas, in APOE4-carrying AD patients, the IAPPO-IgA levels were decreased. In view of our discussion above, we interpret this finding as evidence for increased levels of circulating IAPPM, and thereby the levels of autoantibodies against the peptide, in APOE4-non-carrying AD patients. This AD-related increase is masked in APOE4-carrying AD patients either due to higher plasma IAPPo levels, increased APOE4–IAPP binding, or reduced production of specifically IAPPO-IgA due to epitope masking. All scenarios would implicate a reduction in IAPPO clearance in APOE4-carrying AD patients. These scenarios should also be considered when interpreting the results we obtained after analyzing correlations between IAPP-Ig levels (in particular IAPP-IgA) and AD pathology-associated variables. The correlations were, to a large extent, only found in APOE4 non-carriers, which may again be explained by masked epitopes or increased plasma IAPPO levels in APOE4 carriers. Nevertheless, the significant correlations found between IAPP-Igs and AD markers, as well as cognitive test results, highlight the implication of IAPP in AD. In particular, the negative correlation between IAPP-Igs and CSF Aβ (Aβ40 or Aβ42) in APOE4 non-carriers is of interest as it supports the idea that IAPP and Aβ pathology is interlinked. This is exemplified in studies demonstrating co-depositions of IAPP and Aβ in the brain [14] and IAPP seeding Aβ under experimental conditions [39]. Finally, the negative correlations between nearly all IAPP-Igs and brain IAPP-SF levels support the idea that altered IAPP binding and clearance by IAPP-Igs lead to an increased exposure and influx of IAPP into the brain. If this holds true, a reduction of IAPPO clearance by IgA in APOE4 homozygotes may have detrimental consequences, where the increased amount of incoming IAPPO accelerates Aβ seeding and deposition of Aβ and IAPP in vessel walls (a simplified illustration of the theory is found in Figure 3).
Our analysis of brain IAPP-SF and IAPP-IF, however, did not show significant differences between APOE4 carriers and non-carriers; hence, we were unable to find support for this idea with the methods we used. Notably, the analysis of IAPP levels in the brain was performed on paraformaldehyde (PFA)-fixed brain tissue. This is a limitation of the study as PFA-fixed tissue is more difficult to homogenize, and the fixation itself may compromise antigen exposure. Hence, studies on fresh-frozen tissue are warranted to further explore the theory and investigate the link between plasma IgA and IAPP depositions in the brain. There are also other methodological limitations which need to be addressed. Firstly, in experimental conditions, IAPP forms aggregates very rapidly. Hence, although we carefully characterized our IAPP preparations, we cannot exclude the possibility that the IAPPM and IAPPO preparations used in our indirect ELISA also contained unwanted aggregation variants, including monomers, oligomers, and fibrils. Secondly, the fact that the plasma samples were collected in clinical routine without fasting prescriptions most likely influences our results. Thus, to fully evaluate potential correlations between IAPP-autoantibodies and IAPP levels, studies on plasma samples collected with fasting prescriptions are warranted. It should further be emphasized that Cohort II is a rather small cohort consisting of several different cases with dementia diagnosis and T2D of which only n = 3 were APOE4 homozygotes. Studies on larger cohorts are highly warranted to further understand the capacity of IAPP-Igs to clear circulatory IAPP and accumulation of IAPP in the brain. Finally, the plasma from Cohort II was collected post mortem, and we cannot exclude the possibility that processes occurring after death may have affected the plasma we have analyzed. These limitations, which are mostly related to Cohort II, may have contributed to discrepancies between the analyzed cohorts.

4. Materials and Methods

4.1. Individuals Included in the Study

In this study, we analyzed plasma samples collected ante mortem (Cohort I) and post mortem (Cohort II). Cohort I, consisting of AD patients (n = 30) and healthy age-matched controls (NC, n = 42), was described in a previous study; thus, the demographic data, performance during cognitive tests, Q-albumin, and levels of plasma C-reactive protein (CRP), CSF Aβ40, CSF Aβ42, CSF p-tau, CSF t-tau, plasma IgA, and plasma IAPP have been published previously [23,29]. Both controls and AD patients underwent cognitive and neurological assessments at the Memory Clinic at Skåne University Hospital, Sweden, by a physician with a special interest in dementia disorders. Patients with AD were diagnosed according to the DSM-IV criteria for Alzheimer’s disease. The cognitively healthy individuals displayed no neurological or cognitive deficiency symptoms. The demographic data and mean values of the variables can be found in Table S7. Cohort II (n = 29) consisted of histopathologically evaluated donors from The Netherlands Brain Bank (NBB). The cohort included AD patients (n = 16), NC (n = 7), multiple sclerosis (MS) patients (n = 3), a vascular dementia (VaD) patient (n = 1), a frontotemporal dementia (FTD) patient (n = 1), and a patient with hippocampal alterations (n = 1). Of these cases, n = 8 individuals were diagnosed with T2D. The presence of Aβ plaques was scored into O, A, B, and C, where O = zero, A = some, B = moderate, and C = many, and the presence of NFT and neuropil threads was scored into I–VI according to Braak [40]. The demographic data and mean values of the variables are described in Table S8. The demographic data, T2D status, neuropathological evaluation, and cause of death can be found in Table S9. Informed consent for the use of brain tissue, plasma, and clinical data for research purposes was obtained from all subjects or their legal representatives in accordance with the International Declaration of Helsinki.

4.2. Stratification of Cohorts

Cohort I was stratified upon NC and AD groups, while Cohort II was stratified upon Aβ-negative (−Aβ, n = 10) and Aβ-positive (+Aβ, n = 19) cases. The −Aβ group consisted of cases with Braak Aβ stages O to A, while the +Aβ group consisted of Braak Aβ stages B to C. All cases in the −Aβ group demonstrated Braak NFT stages 0 to 3. Both cohorts were also stratified into APOE4 non-carriers and APOE4 carriers. Individuals with genotypes APOE23 (n = 4 in Cohort I and n = 2 in Cohort II) and APOE33 (n = 31 in Cohort I and n = 13 in Cohort II) were stratified as APOE4 non-carriers. Individuals with APOE24 (n = 2 in Cohort I) as well as APOE34 (n = 29 in Cohort I and n = 11 in Cohort II) and APOE44 (n = 6 in Cohort I and n = 3 in Cohort II) were stratified as APOE4 carriers. In Cohort I, we further divided APOE4 non-carriers or carriers upon NC and AD; however, in Cohort II, we did not stratify APOE4 non-carriers or carriers upon −Aβ and +Aβ due to the small sample size.

4.3. IAPP Preparation

The IAPP monomers were prepared by dissolving the lyophilized human IAPP1-37 peptide (AlexoTech, Umeå, Sweden) in dimethyl sulfoxide to a concentration of 2.5 mM, water-sonicating for 10 min, and further diluting with Dulbecco’s phosphate-buffered saline (DPBS) to a concentration of 100 μM. The IAPP oligomers were prepared by solubilizing the lyophilized human IAPP1-37 peptide in 20 mM sodium hydroxide (pH 12). The pH was adjusted to pH 7 by diluting the solution in a phosphate buffer to a concentration of 100 μM. Thereafter, the IAPP preparation was agitated for 20 min at room temperature (RT), followed by centrifugation at 14,000× g for 10 min (Biofuge 13, Heraeus Sepatech) at 4 °C. The lower fraction (50 μL) was collected and stored at −20 °C. Before use, the concentration of IAPP oligomers was evaluated with a Pierce BCA Protein Assay Kit (Thermo Scientific, Rockford, IL, USA). Both the monomeric and oligomeric IAPP preparations were evaluated by Western blot using rabbit anti-IAPP A133 antibody (a kind gift from Gunilla Westermark, Uppsala University, Sweden) to confirm the presence of the respective aggregation variants (Figure S2).

4.4. Analysis of Plasma IAPP

The plasma IAPP levels were measured using a Human Amylin ELISA kit (EZHA-52K, Merck, Sweden) according to manufacturer’s instructions.

4.5. Analysis of Plasma IAPP-Autoantibodies

Autoantibodies were detected by an in-house developed indirect ELISA based on published protocols used in previous IAPP-autoantibody studies [24,25]. Optically clear 96-well flat bottom microplates (Nunc, Thermo Scientific, Roskilde, Denmark) were coated with either IAPP monomers or oligomers at a concentration of 1 mg/L in PBS and incubated overnight at 4 °C. The plates were then washed three times with 0.05% Tween in PBS (PBS-T). Non-specific binding sites on the plastic were blocked with 1% bovine serum albumin (BSA, Merck, Darmstadt, Germany) in 0.025% PBS-T for 1h at RT and thereafter washed three times with PBS-T. Plasma samples were diluted 1:60–640 with 1% BSA in PBS-T and incubated for 2 h at RT with agitation. Following incubation, plates were washed five times with PBS-T. Antibody binding was detected with horseradish peroxidase (HRP)-conjugated polyclonal rabbit anti-human IgA, IgG, or IgM (DakoCytomation, Glostrup, Denmark) diluted with 1% BSA in PBS-T and incubated for 1h at RT with agitation. After three washes with PBS-T, peroxidase substrate (SeraCare, Gaithersburg, MD, USA) was applied to each well, and the reaction was allowed to proceed in the dark for 10 min at RT. The reaction was terminated by the addition of 1M H2SO4. The end-point optical densities were read immediately at a wavelength of 450 nm on a microwell plate reader (BioTek, EONTM). All samples had respective BSA controls where the wells were coated with 1 mg/L BSA in PBS, and the procedure was followed as described above. Rabbit anti-human IAPP IgG (Peninsula Laboratories, San Carlos, CA, USA) diluted 1:500–1:32,000 and HRP-conjugated polyclonal goat anti-rabbit (DakoCytomation) were used to create a standard curve. Additionally, an inter-control was applied to estimate the reproducibility of the signal throughout the study (CV = 7.15). The IAPP-autoantibody levels were defined as relative units (RU).

4.6. Brain Homogenization and Protein Level Determination

Paraformaldehyde immersion-fixed brain tissue (10 mg) containing hippocampus and entorhinal cortex from cases included in Cohort II were homogenized at 10% (w/v) in 1% Triton X-100 in Tris-buffered saline (TBS) using Dounce homogenizers. The homogenates were thereafter water-sonicated for 10 min and centrifuged at 14,000× g for 30 min at 4 °C. The supernatant was collected and is hereon referred to as the soluble fraction (SF). The pellet was resuspended at 10% (w/v) in 70% formic acid in TBS, water-sonicated for 10 min, and centrifuged at 14,000× g for 1h at 4 °C. The supernatant, which is hereon referred to as the insoluble fraction (IF), was collected, neutralized at 1:20 with 1 M Tris-base (pH 9) at RT, and reduced using speed-vac. The protein concentration was estimated using a Pierce BCA Protein Assay Kit.

4.7. Dot-Blot

Samples of brain IAPP-SF and IAPP-IF were normalized according to the BCA data, loaded (2 µL) onto a nitrocellulose membrane, and thereafter left to dry. The membrane was then washed with 0.05% PBS-T for 10 min, blocked with 1% BSA in PBS-T for 1h at RT, and incubated with rabbit-anti-human A133 antibody in blocking solution overnight at 4 °C with agitation. The membrane was then washed in PBS-T for 10 min three times and incubated with HRP-conjugated goat-anti-rabbit antibody (DakoCytomation, Glostrup, Denmark) in blocking solution for 1h at RT with agitation. The membrane was washed in PBS-T for 10 min three times, in PBS for 10 min once, and visualized using Luminata Forte Western HRP Substrate (Millipore, Darmstadt, Germany) and ChemiDoc XRS1 System (BioRad, Hercules, CA, USA) (Figure S1). The intensity of dots in digitalized images of immunoblotted membranes was analyzed using ImageJ 1.53a (National Institutes of Health, USA). The brain IAPP-SF and IAPP-IF levels were defined as relative units (RU).

4.8. Statistical Analyses

All statistical analyses were performed using the SPSS software (version 28). The Kolmogorov–Smirnov test was used to assess normal distribution. The normally distributed data (age, CSF Aβ40, total IgA in Cohort I and PMD, IAPPM-IgA, and total IgA in Cohort II) were analyzed using Student’s t-test or one-way ANOVA. The skewed data (MMSE, ADAS-Cog, AQT, plasma IAPP, CRP, Q-albumin ratio, CSF Aβ42, CSF Aβ42/40 ratio, CSF p-tau, CSF t-tau, IAPPM-IgA, IAPPO-IgA, IAPPM-IgM, IAPPO-IgM, IAPPM-IgG, IAPPO-IgG in Cohort I and age, brain Aβ score, brain NFT score, IAPPM-IgM, IAPPM-IgG, IAPPO-IgA, IAPPO-IgM, IAPPO-IgG, plasma IAPP, brain IAPP-SF levels, brain IAPP-IF levels in Cohort II) were analyzed using Mann–Whitney or Kruskal–Wallis tests. The Cohort II data were further analyzed using a Univariate Linear Model where T2D was included as a covariate. The association analyses between the investigated variables were performed using the 2-tailed Spearman’s correlation test. The correlations and differences were considered significant at p ≤ 0.05.

5. Conclusions

Our study demonstrates an APOE4 allele-dependent decrease in IAPPO-IgA levels and that IAPP-Igs are associated with AD pathology biomarkers and cognitive decline, specifically in APOE4 non-carriers. These findings suggest that IAPPO and autoantibodies against the peptide are implicated in AD-related events in an APOE4-dependent manner, potentially driven by an enhanced influx of toxic IAPPO from blood to brain due to a reduced clearance by IAPPO-Igs. Further studies investigating the role of APOE4 and Igs (in particular IgA) in IAPPO clearance are warranted.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24043776/s1.

Author Contributions

D.P. and M.W. contributed to the study concept and design. D.P. performed the plasma Ig and brain IAPP measurements and analyzed the data. S.J. performed the AD biomarker analysis, and N.S. performed the plasma IAPP analysis. C.N.-D., B.R., A.O. and O.H. revised the manuscript for intellectual content. O.H. contributed with diagnosis evaluation and plasma samples (Cohort I). The NBB contributed with the brain tissue, plasma samples, and neuropathological evaluation (Cohort II). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Swedish Research Council (2018-02564), Brain Foundation (FO2022-0039), Olle Engkvists Foundation (194-643), Dementia Foundation (2021), Greta and Johan Kockska Foundation (2021), and the Åhlén Foundation (223006). The APC was funded by Lund University. The work by O.H. was supported by the Swedish Research Council (2022-00775), the Knut and Alice Wallenberg Foundation (2017-0383), the Strategic Research Area MultiPark (Multidisciplinary Research in Parkinson’s disease) at Lund University, the Swedish Alzheimer Foundation (AF-980907), the Swedish Brain Foundation (FO2021-0293), The Parkinson Foundation of Sweden (1412/22), the Cure Alzheimer’s fund, the Konung Gustaf V:s and Drottning Victorias Frimurarestiftelse, the Skåne University Hospital Foundation (2020-O000028), Regionalt Forskningsstöd (2022-1259), and the Swedish federal government under the ALF agreement (2022-Projekt0080). The work by Anders Olofsson was supported by the Kempe Foundation, Åhlensfonden, Alzheimerfonden, Norrländska hjärtfonden, and Söderbergs stiftelse (M55/22).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Swedish Ethical Review Authority (Dnr 2016/155, 2017/717, and 2021/04270). The Medical Ethics Committee of VU Amsterdam approved the tissue collection procedures.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to ethical restrictions.

Acknowledgments

The authors kindly thank all participants for their contribution.

Conflicts of Interest

M.W. has acquired research support (for the institution) from Eli Lilly. O.H. has acquired research support (for the institution) from ADx, AVID Radiopharmaceuticals, Biogen, Eli Lilly, Eisai, Fujirebio, GE Healthcare, Pfizer, and Roche. In the past two years, O.H. has received consultancy/speaker fees from AC Immune, Amylyx, Alzpath, BioArctic, Biogen, Cerveau, Eisai, Fujirebio, Genentech, Novartis, Novo Nordisk, Roche, and Siemens.

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Ijms 24 03776 g001 550
Figure 1. Plasma levels of immunoglobulin A (IgA) against islet amyloid polypeptide (IAPP) oligomers. The graphs illustrate significantly higher IAPPO-IgA levels in Aβ-positive (+Aβ) cases compared with Aβ-negative (−Aβ) in Cohort II (A); significantly lower IAPPO-IgA levels in Apolipoprotein E4 (APOE4) carriers (+APOE4) compared with non-carriers (−APOE4) in Cohort I (B); significantly lower IAPPO-IgA levels in APOE44 carriers compared with APOE33 and APOE34 carriers in Cohort I (C); unaltered (but trending towards lower) IAPPO-IgA levels in APOE44 carriers compared with APOE33 and APOE34 carriers in Cohort II (D); significantly higher IAPPO-IgA levels in Alzheimer’s disease (AD) patients compared with non-demented controls (NC) in APOE4 non-carriers in Cohort I (E); and significantly lower IAPPO-IgA levels in AD patients compared with NC in APOE4 carriers in Cohort I (F). Data were analyzed with either Mann–Whitney or Kruskal–Wallis tests and are presented as median with a 95% confidence interval. * Significant at p ≤ 0.05 level. ** Significant at p ≤ 0.01 level. *** Significant at p ≤ 0.001 level.
Figure 1. Plasma levels of immunoglobulin A (IgA) against islet amyloid polypeptide (IAPP) oligomers. The graphs illustrate significantly higher IAPPO-IgA levels in Aβ-positive (+Aβ) cases compared with Aβ-negative (−Aβ) in Cohort II (A); significantly lower IAPPO-IgA levels in Apolipoprotein E4 (APOE4) carriers (+APOE4) compared with non-carriers (−APOE4) in Cohort I (B); significantly lower IAPPO-IgA levels in APOE44 carriers compared with APOE33 and APOE34 carriers in Cohort I (C); unaltered (but trending towards lower) IAPPO-IgA levels in APOE44 carriers compared with APOE33 and APOE34 carriers in Cohort II (D); significantly higher IAPPO-IgA levels in Alzheimer’s disease (AD) patients compared with non-demented controls (NC) in APOE4 non-carriers in Cohort I (E); and significantly lower IAPPO-IgA levels in AD patients compared with NC in APOE4 carriers in Cohort I (F). Data were analyzed with either Mann–Whitney or Kruskal–Wallis tests and are presented as median with a 95% confidence interval. * Significant at p ≤ 0.05 level. ** Significant at p ≤ 0.01 level. *** Significant at p ≤ 0.001 level.
Ijms 24 03776 g001
Ijms 24 03776 g002 550
Figure 2. Correlations between plasma IAPPO-IgA levels and cognition, plasma IAPP levels, and levels of CSF AD biomarkers Aβ40 and Aβ42 in APOE4 non-carriers. The graphs illustrate a significant negative correlation between plasma IAPPO-IgA levels and CSF Aβ42 levels in Cohort I (A); a significant negative correlation between plasma IAPPO-IgA levels and MMSE scores in Cohort I (B); a significant negative correlation between plasma IAPPO-IgA levels and CSF Aβ40 levels in Cohort I (C); and a significant positive correlation between plasma IAPPO-IgA levels and plasma IAPP levels in Cohort II (D); all in APOE4 non-carriers. Data were analyzed using Spearman’s correlation test. * Significant at p ≤ 0.05 level. *** Significant at p ≤ 0.001 level.
Figure 2. Correlations between plasma IAPPO-IgA levels and cognition, plasma IAPP levels, and levels of CSF AD biomarkers Aβ40 and Aβ42 in APOE4 non-carriers. The graphs illustrate a significant negative correlation between plasma IAPPO-IgA levels and CSF Aβ42 levels in Cohort I (A); a significant negative correlation between plasma IAPPO-IgA levels and MMSE scores in Cohort I (B); a significant negative correlation between plasma IAPPO-IgA levels and CSF Aβ40 levels in Cohort I (C); and a significant positive correlation between plasma IAPPO-IgA levels and plasma IAPP levels in Cohort II (D); all in APOE4 non-carriers. Data were analyzed using Spearman’s correlation test. * Significant at p ≤ 0.05 level. *** Significant at p ≤ 0.001 level.
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Ijms 24 03776 g003 550
Figure 3. Simplified illustration of a hypothesis describing the relationship between IgA, APOE, IAPP, and Aβ. Plasma IAPP in healthy individuals (A,C) is sufficiently removed by circulating autoantibodies, including IgA. The amount of circulating IAPP (both monomers and oligomers) increases in Alzheimer’s disease (B,D), but they are removed by the compensating increase in levels of IgA directed against IAPP oligomers (B). The compensatory effect is lost in APOE4 carriers (D) either due to epitope masking by APOE or aggregation or from increased levels of oligomeric IAPP, which leaves the brain exposed to a higher influx of IAPP oligomers. The incoming IAPP oligomers seed amyloid beta (Aβ) and accelerate amyloid deposition in vessel walls and brain parenchyma.
Figure 3. Simplified illustration of a hypothesis describing the relationship between IgA, APOE, IAPP, and Aβ. Plasma IAPP in healthy individuals (A,C) is sufficiently removed by circulating autoantibodies, including IgA. The amount of circulating IAPP (both monomers and oligomers) increases in Alzheimer’s disease (B,D), but they are removed by the compensating increase in levels of IgA directed against IAPP oligomers (B). The compensatory effect is lost in APOE4 carriers (D) either due to epitope masking by APOE or aggregation or from increased levels of oligomeric IAPP, which leaves the brain exposed to a higher influx of IAPP oligomers. The incoming IAPP oligomers seed amyloid beta (Aβ) and accelerate amyloid deposition in vessel walls and brain parenchyma.
Ijms 24 03776 g003
Table
Table 1. Correlations between plasma IAPP-IgA levels and variables associated with AD pathology.
Table 1. Correlations between plasma IAPP-IgA levels and variables associated with AD pathology.
IAPPM-IgA (RU)IAPPO-IgA (RU)
All Groups−APOE4+APOE4All Groups−APOE4+APOE4
Cohort I:
Total IgA (mg/mL)0.658 ***0.813 ***0.450 **0.589 ***0.845 ***0.350 *
MMSE (score)nsnsnsns−0.388 *ns
CRP (mg/mL)ns0.532 **nsns0.561 ***ns
CSF Aβ40 (pg/mL)nsnsnsns−0.387 *ns
CSF Aβ42 (pg/mL)ns−0.510 **nsns−0.665 ***ns
CSF Aβ42/40ns−0.479 **nsns−0.575 ***0.378 *
Cohort II:
Total IgA (mg/mL)0.750 ***0.846 ***0.556 *0.802 ***0.850 ***0.634 *
Brain NFT (score)ns0.555 *−0.550 *0.387 *nsns
Plasma IAPP (pM)0.576 ***0.769 ***ns0.521 **0.747 ***ns
Brain IAPP-SF (RU)ns−0.692 **ns−0.404 *−0.629 *ns
Data were analyzed using Spearman’s correlation test. Aβ—amyloid beta, APOE—apolipoprotein E, CRP—C-reactive protein, CSF—cerebrospinal fluid, IAPP—islet amyloid polypeptide, Ig—immunoglobulin, M—monomer, MMSE—Mini-Mental State Examination, NFT—neurofibrillary tangle, ns—not significant, O—oligomer, RU—relative unit, SF—soluble fraction. * Significant at p ≤ 0.05 level. ** Significant at p ≤ 0.01 level. *** Significant at p ≤ 0.001 level.
Table
Table 2. Correlations between plasma IAPP-IgG levels and variables associated with AD pathology.
Table 2. Correlations between plasma IAPP-IgG levels and variables associated with AD pathology.
IAPPM-IgGIAPPO-IgG
All Groups−APOE4+APOE4All Groups−APOE4+APOE4
Cohort I:
AQT (score)0.261 *ns0.382 *0.267 *ns0.428 *
Plasma IAPP (pM)0.288 *0.356 *ns0.436 ***0.501 **0.431 **
CSF Aβ42 (pg/mL)ns−0.395 *nsnsnsns
CSF Aβ42/40ns−0.415 *nsns−0.419 *ns
Cohort II:
Plasma IAPP (pM)0.617 ***0.729 **nsnsnsns
Brain Aβ (score)nsns−0.541 *nsnsns
Brain IAPP-SF (RU)ns−0.546 *nsnsnsns
Brain IAPP-IF (RU)nsnsnsnsns−0.556 *
Data were analyzed using Spearman’s correlation test. Aβ—amyloid beta, APOE—apolipoprotein E, AQT—A Quick Test, CSF—cerebrospinal fluid, IAPP—islet amyloid polypeptide, IF—insoluble fraction, Ig—immunoglobulin, M—monomer, ns—not significant, O—oligomer, RU—relative unit, SF—soluble fraction. * Significant at p ≤ 0.05 level. ** Significant at p ≤ 0.01 level. *** Significant at p ≤ 0.001 level.
Table
Table 3. Correlations between plasma IAPP-IgM levels and variables associated with AD pathology.
Table 3. Correlations between plasma IAPP-IgM levels and variables associated with AD pathology.
IAPPM-IgMIAPPO-IgM
All Groups−APOE4+APOE4All Groups−APOE4+APOE4
Cohort I:
MMSE (score)nsnsnsns−0.459 **ns
ADAS-Cog (score)nsnsnsns0.480 **ns
CSF p-tau (pg/mL)ns0.363 *nsns0.448 **ns
CSF Aβ42 (pg/mL)nsnsns−0.242 *−0.430 *ns
CSF Aβ42/40nsnsns−0.285 *−0.524 ***ns
Cohort II:
Plasma IAPP (pM)0.511 **0.843 ***nsnsnsns
Brain IAPP-SF (RU)−0.420 *−0.543 *nsnsnsns
Brain IAPP-IF (RU)−0.424 *nsnsnsnsns
Data were analyzed using Spearman’s correlation test. Aβ—amyloid beta, ADAS-Cog—Alzheimer’s Disease Assessment Scale—Cognitive Subscale, APOE—apolipoprotein E, CSF—cerebrospinal fluid, IAPP—islet amyloid polypeptide, IF—insoluble fraction, Ig—immunoglobulin, M—monomer, MMSE—Mini-Mental State Examination, ns—not significant, O—oligomer, p-tau—phosphorylated tau, RU—relative unit, SF—soluble fraction. * Significant at p ≤ 0.05 level. ** Significant at p ≤ 0.01 level. *** Significant at p ≤ 0.001 level.
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Pocevičiūtė, D.; Roth, B.; Schultz, N.; Nuñez-Diaz, C.; Janelidze, S.; The Netherlands Brain Bank; Olofsson, A.; Hansson, O.; Wennström, M. Plasma IAPP-Autoantibody Levels in Alzheimer’s Disease Patients Are Affected by APOE4 Status. Int. J. Mol. Sci. 2023, 24, 3776. https://doi.org/10.3390/ijms24043776

AMA Style

Pocevičiūtė D, Roth B, Schultz N, Nuñez-Diaz C, Janelidze S, The Netherlands Brain Bank, Olofsson A, Hansson O, Wennström M. Plasma IAPP-Autoantibody Levels in Alzheimer’s Disease Patients Are Affected by APOE4 Status. International Journal of Molecular Sciences. 2023; 24(4):3776. https://doi.org/10.3390/ijms24043776

Chicago/Turabian Style

Pocevičiūtė, Dovilė, Bodil Roth, Nina Schultz, Cristina Nuñez-Diaz, Shorena Janelidze, The Netherlands Brain Bank, Anders Olofsson, Oskar Hansson, and Malin Wennström. 2023. "Plasma IAPP-Autoantibody Levels in Alzheimer’s Disease Patients Are Affected by APOE4 Status" International Journal of Molecular Sciences 24, no. 4: 3776. https://doi.org/10.3390/ijms24043776

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