Abstract
Cardiomyopathies with intracellular inclusions are a distinct subset of cardiomyopathies whereas basophilic degeneration (BD) of the heart describes inclusions in cardiomyocytes of the aging heart, which have not yet been related to a specific disease condition or to a distinct type of protein inclusion. To address the question whether BD represents a specific pathological feature and whether it is linked to a distinct disease condition we studied 62 autopsy cases. BD inclusions exhibited an immunohistochemical staining pattern related to glycosylated, δ- or η-secretase-derived N-terminal cleavage products of the amyloid precursor protein (sAPPδ/η) or shorter fragments of sAPPη. BD aggregates were found in the myocardium of both ventricles and atria with highest amounts in the atria and lowest in the interventricular septum. The frequency of BD-lesions correlated with age, degree of myocardial fibrosis in individuals with arterial hypertension, and the severity of cerebral amyloid angiopathy (CAA). The intracytoplasmic deposition of N-terminal sAPPδ/η fragments in BD indicates a specific inclusion body pathology related to APP metabolism. The correlation with the severity of CAA, which is related to the APP-derived amyloid β-protein, supports this point of view and suggests a possible link between myocardial and cerebrovascular APP-related lesions.
Introduction
Cardiomyopathies with intracellular inclusions are a distinct subset of cardiomyopathies. Major forms are the desmin-related myopathies in skeletal and heart muscle1 or the myocardial affection in inclusion body myopathy with early-onset Paget disease with or without frontotemporal dementia (IBMPFD)2. In addition to disease-related cardiomyocyte inclusions basophilic degeneration of the heart (BD) represents age-related basophilic inclusions in cardiac myocytes3,4. The inclusions were originally described based on hematoxylin and eosin (H&E)-stained sections as “a small, round, oval, or irregular pale blue area inside of a single muscle cell”4. These lesions are positive in the periodic acid-Schiff reaction staining (PAS)5,6 and polyglucosan immunohistochemistry7 raising the idea that BD consists of glycogen metabolism by-products5,7. At the electron microscopic level BD consists of randomly distributed fibrils rimmed by myofibrils5. However, a distinct pathological role of BD has not yet been identified.
The amyloid precursor protein (APP) is known as precursor protein for the Alzheimer’s disease (AD)-related amyloid β-protein (Aβ)8. Aβ is released after β- and γ-secretase cleavage9 and is considered to be a key protein in the pathogenesis of AD10–12. The deposition of Aβ in the wall of leptomeningeal and cerebral blood vessels is the hallmark lesion of cerebral amyloid angiopathy (CAA)13, which develops not only linked to AD-related Aβ-production as shown in APP-transgenic mice14 but also in spontaneous hypertensive, stroke-prone rats (SHRSP)15,16 in the absence of amyloid plaques indicating a potential association between CAA and arterial hypertension. Moreover, δ- and η-secretase cleavage has been described cutting APP N-terminal to the β-secretase cleavage site releasing C-terminal fragments called CTFδ (by δ-secretase cleavage) and CTFη (by η-secretase cleavage) and N-terminal fragments called sAPPδ and sAPPη17,18. Aη is generated in a second cleavage step cutting CTFη by α- or β-secretase into Aη-α/β and CTFα/β18 (Fig. 1). APP-like proteins (APLPs) are homologues of APP lacking the Aβ region and are termed APLP1 and APLP219–21. The role of APP, its cleavage products or its homologues APLP1 or APLP2 in heart pathology is not fully understood although it is known that APP and APLP2 are expressed in cardiomyocytes19 and some authors found that Aβ may play a role for cardiomyocyte degeneration in patients with heart failure22. In myofibrillar myopathy of the skeletal muscle accumulation of APP-positive material has been reported23. In so doing, the question arises whether Aβ/APP metabolism plays a role for the development of cardiac pathological lesions and if so whether they are related to AD or CAA.
To address this question and to clarify the role of BD as an age-related lesion of the heart we studied 62 autopsy cases. Our results showed that BD-lesions consist of N-terminal APP-fragments and were associated with the severity of CAA and with myocardial fibrosis in individuals with arterial hypertension.
Results
sAPPδ373/η epitopes are exhibited in p62/SQSTM1-, ubiquitin-, and PAS-positive BD-inclusions of cardiomyocytes
To clarify the nature of BD-lesions we stained cross sections through the myocardium of the left ventricle with H&E, antibodies against p62/SQSTM1 and with the PAS-staining from all 62 cases included in this study (Table 1, Suppl. Table 1). PAS-positive BD-lesions in cardiomyocytes were found to express p62/SQSTM1 as shown in subsequent sections (Fig. 2A,C,F,H,J,L,M,O). To clarify whether other markers for an impaired proteasomal degradation of proteins confirm this finding and to screen for proteins that could be subject of impaired proteasomal degradation we screened cases No. 1, 15, 17, 50, 53, 56 and 58 (see Suppl. Table 1) with the antibodies listed in Suppl. Table 2. The pattern seen for BD-lesions was reproducible in all seven investigated cases. Antibodies against ubiquitin and ubiquilin were used to confirm an impaired proteasomal degradation, antibodies against abnormal τ-protein, α-synuclein, phosphorylated transactive response DNA-binding protein pTDP43, and Aβ/APP to identify potential target proteins that can theoretically accumulate in the cell, and antibodies against muscle-derived proteins to address the question whether BD-lesions represent a disorder of the cardiomuscular intermediary filaments. The p62/SQSTM1-positive BD-lesions were immunopositive for ubiquitin, ubiquilin, and N-terminal epitopes of APP (Fig. 2B,D,E,H,I, Suppl. Table 2). The M- and D-epitope representing the Aη-region of APP as well as the Aβ fragment were not detected (Fig. 2G,H,K,L, Table 1). An antibody directed against APLP2 did not stain the p62/SQSTM1-positive BD inclusions as demonstrated by double label immunohistochemistry (Fig. 2K,O). It is essential to note that APP is physiologically expressed in the cytoplasm of cardiomyocytes. Lipofuscin granules were also stained with the anti-APP (except for antibodies targeting specifically Aβ epitopes; Fig. 3A–E) and anti-APLP2 antibodies (Fig. 3F,G). Actin, desmin, myosin and filamin C were not detected in BD-lesions (Suppl. Table 2). Accordingly, the cytoplasmic BD-inclusions in cardiomyocytes consisted of sAPPδ373, sAPPη or shorter N-terminal fragments of APP, which were PAS-positive (presumably glycosylated) and colocalized with ubiquitin, ubiquilin and p62/SQSTM1-positive material. TDP43, Aβ, abnormal phosphorylated τ-protein, desmin and other proteins listed in Suppl. Table 2 were not found in the aggregates. To confirm the presence of N-terminal APP-epitopes in BD-lesions we also stained the left ventricle myocardial sections of the rest of the 62 cases with anti-APP (22C11) which is directed against an N-terminal epitope of APP. In all cases with BD-lesions detected with anti-p62/SQSTM1 and the PAS-staining we also saw anti-APP-positive BD-lesions further confirming that BD-lesions represent aggregates of N-terminal APP-fragments. Cases free of BD-lesions in the PAS and anti-p62/SQSTM1-staining did not exhibit anti-APP-positive cardiomyocyte inclusions.
Table 1.
Data available in n cases | ||
---|---|---|
Age in years (mean/range) | 57,5/0–85 | 62 |
Gender (M/F) | 45/17 | 62 |
Atrial fibrillation (y/n) | 9/42 | 51 |
Arterial hypertension (y/n) | 26/36 | 62 |
Myocardial infarction (y/n) | 9/53 | 62 |
Heart weight/g (mean/range) | 410/8–850 | 62 |
Degree of cardiac fibrosis (mean/range) | 1.56/0–3 | 62 |
Degree of hypertension-related cardiac fibrosis (mean/range) | 0,694/0–3 | 62 |
p62-positive BD inclusions/mm² (left ventricle) (mean/range) | 0.084/0–0.804 | 62 |
Diabetes mellitus (y/n) | 9/53 | 62 |
Hyperlipoproteinemia (y/n) | 10/28 | 38 |
Obesity (y/n) | 15/23 | 38 |
Intracerebral hemorrhage (y/n) | 8/54 | 62 |
Cerebral infarction (y/n) | 16/46 | 62 |
Athersclerosis (mean/range) | 31,25%/0–100% | 59 |
Stage of SVD (mean/range) | 1.6/0–3 | 62 |
Severity grade of CAA (mean/range) | 0,23/0–2 | 62 |
Aβ-phase (MTL) (mean/range) | 0.65/0–4 | 62 |
Braak NFT-stage (mean/range) | 1.18/0-4 | 62 |
CERAD-score (mean/range) | 0.13/0–2 | 62 |
NIA-AA degree of AD (mean/range) | 0.39/0–2 | 62 |
Numbers of cases, age-spectrum, cardiac and AD-related pathologies and parameters, arterial hypertension, diabetes mellitus, atherosclerosis, cerebral small vessels disease (SVD), CAA, and heart weights: Mean values and ranges. The list of the individual cases is provided in Supplementary Table 1.
To document that the BD-lesions identified here by histological criteria fit with the ultrastructural pattern of BD5 we performed electron microscopy in case No. 53 (Suppl. Table 1). The BD-lesions were identified according to its structural appearance in methylene blue-stained semithin sections as lesions consisting of amorphous material with a rim of myofibrils in the periphery (Fig. 4A,B)5. In ultrathin sections electron microscopy confirmed that BD-lesions contained fibrillar material (Fig. 4C,D). This material was not coated by a membrane and sharply bordered from adjacent myofibrils. Only few myofibrils and organelles were seen between the fibrillar aggregates (Fig. 4C). Lipofuscin-like material was not observed inside the BD-lesion (Fig. 4C,D).
Distribution of BD-inclusions in the heart
To document the anatomical distribution of BD-lesions throughout the heart we embedded gross sections (6,5 × 4,8 cm of size) of the apex, left and right ventricle including the intraventricular septum, and the atria of 8 cases in paraffin, stained paraffin sections with hematoxylin and eosin, and immunostained them with anti-p62/SQSTM1 antibodies. After demonstration that the immunostaining for p62/SQSTM1 detects BD-lesions in the heart (Fig. 2A–C) and that it provides an easy detection of the BD-lesions (Fig. 5A–D) we used anti-p62/SQSTM1 immunohistochemistry for assessing the frequency of BD-lesions in a given part of the heart. The gross sections of the heart covered transverse sections of the entire heart a) at the level of the atria including both atria and the septum intraatriale and b) at the ventricular level covering both ventricles including the intraventricular septum and papillary muscles, and c) at the level of the apex of the heart. Using these sections, p62/SQSTM1-positive BD-inclusions in cardiomyocytes were observed in both ventricles and atria (Fig. 5A–D). The highest number of affected cardiomyocytes was seen in the atria and the lowest in the intraventricular septum (Fig. 5E). The number of atrial BD-inclusions was generally higher than that in ventricular areas (Wilcoxon rank sum test (single sided): p < 0.05). BD-inclusions were mainly found in the myocardial parenchyma outside the conduction system although the muscle fibers of the conduction system were not spared.
In the available samples of the quadriceps femoris muscle and/ or the diaphragm (n = 30), we wanted to clarify whether BD-lesions were limited to the heart or were also prevalent in the skeletal muscle as well. Using the PAS and anti-p62/SQSTM1-stainings we did not observe BD-lesions in the quadriceps femoris muscle or in the diaphragm of these individuals.
Prevalence of cardiac BD-inclusions with age
To study the frequency of BD-lesions in the heart we chose the left ventricle because previous studies reported the highest scores for BD-lesions in the left ventricle6 and because tissue blocks from left ventricle cross sections were available in all cases included in this study. p62/SQSTM1-positive BD-inclusions bodies were observed in left ventricle samples of individuals ranging from 35–85 years of age; patients younger than 35 (n = 4) did not exhibit p62/SQSTM1-positive BD inclusions. Five out of 54 cases between 35–78 years of age did not exhibit BD-inclusions in cardiomyocytes (Suppl. Table 1). The frequency of p62/SQSTM1-immunopositive BD-inclusions per mm² left ventricle section increased slightly with age (Linear regression analysis: R² = 0.074, β = 0.273, p = 0.023; Fig. 6A, Table 2).
Table 2.
n | Age in years | Gender (M/F) | Atrial fibrillation (y/n) | Arterial hypertension (y/n) | Myocardial infarction (y/n) | Heart weight/g | Degree of cardiac fibrosis | Degree of cardiac fibrosis in hypertensive individuals | Diabetes mellitus (y/n) | ||
---|---|---|---|---|---|---|---|---|---|---|---|
62 | 62 | 51 | 62 | 62 | 62 | 62 | 62 | 62 | |||
p62/SQSTM1-positive BD inclusions: binary logistic (*) and linear regression (only one independent variable) | β = 0.273; p = 0.032; R ² = 0.074 | p = 0.469* | p = 0.055* | p = 0.065* | p = 0.922* | p = 0.094 | β = 0.270; p = 0.033; R ² = 0.073 | β = 0.332; p = 0.008; R ² = 0.11 | p = 0.652* | ||
p62/SQSTM1-positive BD inclusions: linear regression controlled for age and gender | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | p = 0.203 | β = 0.302; p = 0.032; R ² = 0.163 | n.d. | ||
p62/SQSTM1-positive BD inclusions: linear regression controlled for myocardial infarction and heart weight | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.329; p = 0.009; R ² = 0.156 | n.d. | ||
p62/SQSTM1-positive BD inclusions: linear regression controlled for diabetes mellitus, obesity and atrial fibrillation | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | p = 0.17 | n.d. | ||
p62/SQSTM1-positive BD inclusions: linear regression controlled for CAA severity | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.304; p = 0.004; R ² = 0.233 | n.d. | ||
p62/SQSTM1-positive BD inclusions: linear regression controlled for age, gender, and cardiac fibrosis in hypertensive individuals | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.367; p = 0.007; R ² = 0.26 | n.d. | ||
p62/SQSTM1-positive BD inclusions: linear regression controlled for myocardial infarction, heart weight, and cardiac fibrosis in hypertensive individuals | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.333; p = 0.005; R ² = 0.267 | n.d. | ||
n | Hyperlipoproteinemia (y/n) | Obesity (y/n) | Intracerebral hemorrhage (y/n) | Cerebral infarction (y/n) | Athersclerosis in CaW (% of affected vessels) | Stage of SVD | Severity grade of CAA | Aβ-phase (MTL) | Braak NFT-stage | CERAD-score | NIA-AA degree of AD |
38 | 38 | 62 | 62 | 59 | 62 | 62 | 62 | 62 | 62 | 62 | |
p62/SQSTM1-positive BD inclusions: binary logistic (*) and linear regression (only one independent variable) | p = 0.488* | p = 0.404* | p = 0.247* | p = 0.181* | p = 0.161 | p = 0.545 | β = 0.340; p = 0.007; R ² = 0.116 | p = 0.094 | p = 0.166 | p = 0.137 | p = 0.072 |
p62/SQSTM1-positive BD inclusions: linear regression controlled for age and gender | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.273; p = 0.035; R ² = 0.16 | n.d. | n.d. | n.d. | n.d. |
p62/SQSTM1-positive BD inclusions: linear regression controlled for myocardial infarction, degree of myocardial fibrosis and heart weight | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.337; p = 0.006; R ² = 0.166 | n.d. | n.d. | n.d. | n.d. |
p62/SQSTM1-positive BD inclusions: linear regression controlled for diabetes mellitus, arterial hypertension and atrial fibrillation | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.306; p = 0.026; R ² = 0.137 | n.d. | n.d. | n.d. | n.d. |
p62/SQSTM1-positive BD inclusions: linear regression controlled for myocardial fibrosis in hypertensive individuals | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.308; p = 0.003; R ² = 0.233 | n.d. | n.d. | n.d. | n.d. |
p62/SQSTM1-positive BD inclusions: linear regression controlled for age, gender, and cardiac fibrosis in hypertensive individuals | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.334; p = 0.008; R ² = 0.26 | n.d. | n.d. | n.d. | n.d. |
p62/SQSTM1-positive BD inclusions: linear regression controlled for myocardial infarction, heart weight, and cardiac fibrosis in hypertensive individuals | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | β = 0.339; p = 0.005; R ² = 0.267 | n.d. | n.d. | n.d. | n.d. |
The independent variables are the variables in the respective columns and the control variables are provided for each line. n provides the number of cases available for the variables in the columns used to calculate linear regression analysis.
Statistical analysis of the effects on BD by age, gender, cardiac and AD-related pathologies and parameters, arterial hypertension, diabetes mellitus, atherosclerosis in the circle of Willis (CaW), cerebral small vessels disease (SVD), CAA by binary logistic (*) or linear regression analysis. R² reflects the degree in how far a respective model term of independent variables explains the dependent variable. β represents the standardized β-coefficient for each individual independent variable. Abbreviations: m/f Male/Female.
Association of cardiac BD-inclusions with cardiac fibrosis in hypertensive individuals, and cerebral amyloid angiopathy (CAA)
To clarify whether BD is related to a cardiovascular disease or risk factor we studied its association with arterial hypertension, myocardial infarction, atrial fibrillation, cardiac fibrosis, heart weight, diabetes mellitus, hyperlipoproteinemia, obesity, cerebral hemorrhage, cerebral infarction, cerebral small vessel disease, atherosclerosis of the circle of Willis, and CAA by using linear regression analysis with model terms including one or more independent variables. The number of p62/SQSTM1-positive BD-inclusions/mm² in the left ventricle was associated with the degree of myocardial fibrosis (Linear regression analysis – myocardial fibrosis: R² = 0.073, β = 0.270, p = 0.033, Table 2). This association was not seen after controlling the model term for age and gender (Linear regression analysis: p = 0.203, Table 2). When focusing on the degree of myocardial fibrosis in individuals with arterial hypertension and including non-hypertensive cases as controls BD was associated with the degree of myocardial fibrosis in hypertensive individuals (Fig. 6B; Linear regression analysis: R² = 0.11, β = 0.332, p = 0.008, Table 2). After controlling the model term for a) age and gender (Linear regression analysis: β = 0.302, p = 0.032; R² = 0.163, Table 2), or b) myocardial infarction, and heart weight (Linear regression analysis: β = 0.329, p = 0.009; R² = 0.156, Table 2) the R² values of the model increased. Morphologically, p62/SQSTM1-positive BD-inclusions were found close to areas of fibrosis.
The severity degree of CAA24 was associated with the frequency of left ventricular p62/SQSTM1-positive BD-inclusions (Fig. 6C; Linear regression analysis: R² = 0.116, β = 0.340, p = 0.007, Table 2). This association was also seen in a model term controlled for myocardial infarction, degree of myocardial fibrosis, and heart weight (Linear regression analysis: R² = 0.166, β = 0.337, p = 0.006, Table 2) as well as in a model controlled for age and gender (Linear regression analysis: R² = 0.16, β = 0.273, p = 0.035, Table 2). Interestingly, the effects of CAA severity and the degree of myocardial fibrosis in hypertensive individuals showed an independent influence on the frequency of p62/SQSTM1-positive BD-inclusions increasing the R² of the model term to R² = 0.267 when tested in one model term with CAA severity, degree of myocardial fibrosis in hypertensive individuals as independent variables controlled for myocardial infarction and heart weight in one model term (Linear regression analysis: R² = 0.267; CAA severity β = 0.339, p = 0.005; degree of myocardial fibrosis in hypertensive individuals β = 0.333, p = 0.005, Table 2) as well as when controlled for age and gender in the second (Linear regression analysis: R² = 0.26; CAA severity β = 0.334, p = 0.008; degree of myocardial fibrosis in hypertensive individuals β = 0.367, p = 0.007, Table 2).
No associations of the frequencies of BD-inclusions of the left ventricle were seen with (a) the stage of cerebral small vessel disease distribution (p = 0.545)25, (b) the percentage of vessels of the circle of Willis being macroscopically affected by atherosclerosis (p = 0.161)26, (c) the presence of myocardial infarction (p = 0.922), (d) presence of atrial fibrillation (p = 0.055), (e) arterial hypertension (p = 0.065), (f) diabetes mellitus (p = 0.652), (g) obesity (p = 0.404), (h) hyperlipoproteinemia (p = 0.488), and (i) heart weight (p = 0.094) as observed by binary logistic and linear regression models (Table 2).
No association of cardiac BD-inclusions with AD pathology
To clarify whether p62/SQSTM1-positive BD-inclusions in cardiomyocytes exhibiting N-terminal epitopes of APP are related to AD-pathology linear regression analysis was calculated for the frequency of cardiomyocytes with p62/SQSTM1-positive BD-inclusions of the left ventricle as independent variable and the phases of Aβ plaque pathology in the medial temporal lobe (MTL)27, the Braak-neurofibrillary tangle (NFT) stages28, the score of neuritic plaque pathology as recommended by the Consortium to establish a registry for AD (=CERAD-score)29, and the degree of AD-pathology according to the National Institute of Aging-Alzheimer’s Association recommendations30 as respective dependent variables. No association was found (p ≥ 0.072) (Table 2).
Discussion
Here, we show that inclusions in cardiomyocytes known as BD with the typical histopathological and ultrastructural pattern are detectable with antibodies directed against the N-terminus of APP. This accumulation of APP cleavage products is associated with the severity of CAA in leptomeningeal and cortical blood vessels. CAA is histopathologically characterized by the deposition of Aβ, which is another cleavage product of APP (Fig. 1A) and represents a cerebral vessel disorder known as the 2nd most frequent cause of hemorrhage in the elderly brain after hypertension-related bleedings31–33. This association as well as the involvement of APP in both pathologies may point to a possible molecular link between both pathologies. However, no significant association was seen with AD-related amyloid plaque pathology as represented by the amyloid plaque phases in the MTL27 as well as with neuritic plaque pathology as assessed by the CERAD-score for neuritic plaque pathology29 and with NFT-pathology assessed by the Braak NFT-stages28.
In the BD-lesions, the aggregated N-terminal APP fragments colocalize ubiquitin, p62/SQSTM1, and PAS-positivity, presumably indicative for the presence of glycosylated proteins such as APP that could be ubiquitinated and linked to p62/SQSTM1, as demonstrated by triple label immunofluorescence and by assessing subsequent sections. To classify these APP fragments, we used antibodies detecting the Aβ-region of APP as well as epitopes N-terminal to the β-secretase cleavage site of APP but C-terminal to the δ373- and η-secretase cleavage site (D- and M-epitopes of APP)18 (Fig. 1). Only the 22C11 and the 9023 APP antibodies – both detecting sAPPδ/η – stained cytoplasmic inclusion bodies whereas all other antibodies, including those against APP-epitopes C-terminal to its δ and η-cleavage sites, remained negative (Fig. 1). Since the 22C11 antibody crossreacts with APLP2 we excluded APLP2 as possible component in the BD-lesions by double label immunofluorescence detecting p62/SQSTM1 and APLP2. Accordingly, the material that accumulates in BD-lesions and colocalized PAS-positivity, p62/SQSTM1, and ubiquitin appears to represent aggregates of sAPPη, sAPPδ373, or another N-terminal APP fragment with its C-terminus N-terminal to the η-secretase cleavage site (Fig. 1).
BD cytoplasmic inclusion bodies of heart muscle cells in the majority of elderly individuals are different from other cardiomyopathies including those with inclusions containing mutant proteins such as desmin or valosin-containing protein. Nuclear inclusions and similar aggregates in the skeletal muscle were not observed as it is expected in IBMPFD2 or desmin-related myopathies1. The fact that BD lesions were not associated with the clinical diagnosis “glycogenosis” and that they contained aggregates of sAPPδ/η argue against a disorder of glycogen metabolism as considered by some authors5,7. An association with diabetes mellitus, obesity and hyperlipoproteinemia was not found in our cases. Moreover, the fact that presenilin 1/2 (i.e. the active center of the γ-secretase34) mutations can cause cardiomyopathies35 and that Aβ can cause degeneration of cardiomyocytes22 may further argue in favor of a critical function of APP and/or its cleavage products in the heart. The presence of APP in the BD-lesions also argues against impaired autophagy as primary cause of BD because other protein aggregation disorders that accumulate p62/SQSTM1-positive material can be driven by specific mutations of the accumulating protein such as mutations in the α-synuclein gene in Parkinson’s disease36 or in the TDP43 gene (TARDBP) in amyotrophic lateral sclerosis (ALS)37. As such, it is tempting to speculate that APP and the accumulation of its N-terminal fragments is critically involved in BD-related cardiomyocyte degeneration, probably similar to the role of α-synuclein in sporadic Parkinson’s disease or TDP43 in sporadic ALS.
p62/SQSTM1-positive sAPPδ/η aggregates in cardiomyocytes representing BD are associated with age confirming previous studies on BD3,5–7 and with myocardial fibrosis in the left ventricle of hypertensive individuals. A significant association with heart weight, myocardial infarction, arterial hypertension alone or atrial fibrillation could not be seen. Previous studies on BD already discussed a frequent occurrence of these lesions in cases with cardiovascular diseases3,6. Some animal models with autophagic-lysosomal inhibition leading to increased p62/SQSTM1-levels show hypertension38 or cardiomyopathy39,40 further arguing in favor of a potential link between the accumulation of p62/SQSTM1-positive protein aggregates in cardiomyocytes with BD and hypertension or cardiomyocyte degeneration.
Recently, it was shown that spontaneously hypertensive stroke-prone rats (SHRSP) develop CAA15,16. This finding supports the association between a cardiac pathology which is related to arterial hypertension and CAA. Another, argument for a link between hypertension-related cardiac pathology and CAA is the finding of Gerth et al. that a distinct group of CAA cases based upon the parenchymal/vascular distribution pattern of modified Aβ forms was associated with arterial hypertension41. These results from other studies further support the hypothesis that hypertension-related lesions of the heart and CAA are linked.
The distribution of BD-lesions in all parts of the heart without specific affection of the conduction system confirms earlier studies3,6 and indicates that this pathology may affect the function of the entire heart. Earlier studies based upon H&E-stained tissue samples showed slight differences in the distribution over the heart. In these H&E-based studies, the most BD-lesions were found in the septum and the ventricles whereas they appeared less abundant in the atria3,6. Since we used immunohistochemistry for the specific detection of the lesions our findings may be less biased than the studies from 19353 and 19556 because of superior methodology for the detection of the BD-lesions, which is now available with highly specific immunohistochemical markers such as anti-p62/SQSTM1 and anti-APP antibodies. This enables us now to define BD-lesions as p62/SQSTM1-positive aggregates of sAPPδ/η and allows more precise correlation analyses with disorders potentially related with these lesions.
In summary, we describe BD-lesions to represent inclusions of sAPPδ/η aggregates in cardiomyocytes. BD appears, thereby, to represent an age-related protein aggregation pathology in the heart associated with CAA and myocardial fibrosis in individuals with arterial hypertension. Since APP is involved in both CAA and BD a molecular link appears possible as well as a link with hypertension-associated cardiomyocyte alterations.
It will be also important to be aware of BD in the pathological differential diagnosis of inclusion body cardiomyopathies with p62/SQSTM1- or ubiquitin-positive inclusions.
Methods
All methods have been performed in accordance with the relevant guidelines and regulations.
Pathology
Heart and brain tissue of 62 autopsy cases was studied (Table 1, Suppl. Table 1). Quadriceps femoris muscle and/or diaphragm were available for 30 of these cases. The heart weight was obtained at autopsy.
The age-range of the sample was 0–85 years. Cases with and without heart and/or brain disorders were included (Table 1, Suppl. Table 1). The autopsy tissue has been collected by the Ulm University Brain Bank at the Institute of Pathology with approval of the local Ethics Committee (Decision-No. 378/13). The autopsies were performed with informed consent of the next in kin. Cause of death included cancer (n = 4), cardiovascular disease (n = 28), respiratory failure (n = 18), neurological reasons (n = 8), multiple organ dysfunction (n = 1), and infectious diseases (n = 3). Inclusion criteria were the availability of autopsy tissue from brain and heart of a given case. Exclusion criteria were spongiform encephalopathies, tuberculosis, HIV, hepatitis B and C infections. The reason for excluding cases with these infectious disorders was the safety in the research laboratory.
Tissue samples were formalin fixed and embedded in paraffin. Left ventricle samples covering cross-sections through the myocardium of all hearts were stained. Brain pathology was studied as previously published42. 5 µm thick sections from all cases were cut and stained with the hematoxylin and eosin, Masson-Goldner, and periodic-acid Schiff (PAS) staining techniques. Immunohistochemistry was performed with antibodies listed in Supplementary Table 2. All cases were thereby stained with antibodies against p62/SQSTM1 and the N-terminus of APP (22C11) whereas the other antibodies were only used in cases No. 1, 15, 17, 50, 53, 56 and 58 to illustrate the expression pattern of the BD-lesions with the antibodies listed in Suppl. Table 2. For visualization primary antibodies were either detected with Carbocyanin 2, Carbocyanin 3, or Carbocyanin 5-marked secondary antibodies or with biotin-labeled secondary antibodies, avidin-biotin complex and diaminobencidine-HCl or the DAKO-Real alkaline phosphatase/RED substrate kit (DAKO, Glostrup, Denmark). In the event that we combined two mouse antibodies in a triple staining, the second primary mouse antibody was linked to biotinylated Fab-fragments against mouse IgG prior to the incubation with the sample and Carbocyanin 2-conjugated streptavidin was used for visualization43. Positive and negative controls were carried out. Light and fluorescence microscopy was performed with a Leica DMLB microscope (Leica, Germany). Pictures were taken with Leica DFC 290 and DFC 7000 T digital cameras (Leica, Germany) and were processed for contrast and colocalization overlays with CorelPhotopaint XVI. In images of triple labelled sections, the red-orange Carbocyanin 3 signal was pseudo-coded in blue.
Heart pathology (infarcts, fibrosis, and conventional signs of cardiomyopathy), skeletal muscle pathology, and brain pathology (AD-related lesions) were assessed. The degree of cardiac fibrosis of the left ventricular myocardium was graded in 4 levels (0–3) based on the examination of Masson-Goldner stained sections: 0 = no fibrosis detectable, 1 = small solitary areas of fibrosis (no more than 3 areas of fibrosis in the size of no more than 3 muscle fiber diameters), 2 = diffuse or multiple (>3 per section) areas of fibrosis, and 3 = general diffuse fibrosis (an area of more than 20% of the section was covered by fibrosis).
For electron microscopy formalin-fixed tissue of case No. 53 was embedded in Epon after osmium and uranyl acetate staining. Semi- and ultrathin sections were cut. Semithin sections were stained with methylene blue. For electron microscopy a JEM-1400 electron microscope (JEOL, Tokyo, JP) was used and grids were block stained with lead citrate.
To determine the distribution of the p62/SQSTM1-positive BD-inclusions in cardiomyocytes we embedded gross sections of the apex, left and right ventricle including the intraventricular septum, and both atria with septum intraatriale of 8 cases (cases No. 17, 21, 30, 33, 39, 44, 52, and 55) in paraffin, stained paraffin sections with H&E, and immunostained them with anti-p62/SQSTM1 antibodies. For semiquantitative assessment of the density of BD-inclusions we counted the number of p62/SQSTM1-positive inclusions in the entire myocardium covered in a given section from the left ventricle (all cases), the right ventricle, the atria and the intraventricular septum (from the 8 cases processed for paraffin macrosections of the latter 4 regions) and measured the area of the respective myocardial tissue with the ImageJ image analysis software (NIH, Bethesda, USA). A total area of 1–3 cm² myocardium was assessed per case and region depending on the size of the embedded samples. These data were used to calculate the BD-inclusion frequency/mm2.
Neuropathologically, the degree of AD pathology30, the phase of Aβ deposition in the MTL27, the stage of NFT-pathology28, the CERAD-score of neuritic plaque pathology29, the expansion of atherosclerosis in the Circle of Willis26, and the stages of cerebral small vessel disease25 were assessed as described previously. The grade of cerebral amyloid angiopathy (CAA)-related vessel wall destruction, i.e. the CAA severity, has been rated according to Vonsattel et al.24: 0 = no CAA; 1 = Aβ-positive material in vessel wall(s) without significant smooth muscle cell degeneration; 2 = Aβ-positive material in vessel wall(s) with significant destruction and fibrosis of media; and 3 = Aβ-positive material in vessel wall(s) with micro- or macrohemorrhages.
Assessment of clinical characteristics
Clinical data were analyzed retrospectively (Suppl. Table 1). The clinical protocols and the autopsy reports provided information about a history of arterial hypertension, diabetes mellitus, hyperlipoproteinemia, obesity, coronary heart disease, myopathies, clinically evident episodes of embolic diseases, atrial fibrillation, anticoagulation treatment, brain disorders as well as other diseases and the pathologically-confirmed cause of death. Myocardial and cerebral infarction, brain pathology including AD-lesions and other findings were taken from the autopsy reports.
Electrocardiograms, heart ultrasound reports, heart magnetic resonance imaging, myocardial positron emission tomography and coronary angiography reports were screened in the event that these diagnostic tools were applied prior to death and were, in so doing, available only in a subset of the cases. The clinical diagnosis of a distinct heart disease was noted. Cases without clinical signs of heart disease during lifetime were considered to have no clinically apparent signs of heart disease (Suppl. Table 1).
Statistical analysis
Statistical analysis was carried out by using binary logistic as well as linear regression analysis. For binary logistic and linear regression analysis we used in the first step a model term with one dependent and one independent variable. In the event that this analysis revealed a significant association we included further independent variables into the model term to control for, e.g. age and gender. To avoid collinearity effects we limited the maximum number of independent variables to four. The R²-values provided by linear regression analysis refer to the entire model term (including all independent variables) and give information up to which extend a given model term describes the dependent variable. The effects of the independent variables were provided by the respective standardized β-coefficients and p-values.
For comparing frequencies of BD-lesions among different parts of the heart (atria, left and right ventricles and intraventricular septum) the Wilcoxon rank sum test was used. Calculations of the statistical tests were performed with IBM-SPSS 24 software.
Ethics
Ethical approval by the Ulm University Ethics Committee (Decision-No. 378/13). An informed consent for autopsy and scientific use of autopsy tissue with clinical information was granted for all cases included. All methods have been performed in accordance with the relevant guidelines and regulations.
Electronic supplementary material
Acknowledgements
The authors gratefully thank Mrs. Irina Kosterin, Christine Schneider, Kathrin Pruy, Daniela Demharter, Regine Baur, Alice Yeates, Simona Ospitalieri for technical help. D.R.T. received research funds from Alzheimer Forschung Initiative (AFI) Grant No.: #13803, Fonds Wetenschappelijk Onderzoek Vlaanderen (FWO- G0F8516N Odysseus), and Vlaamse Impulsfinanciering voor Netwerken voor Dementie-onderzoek (IWT 135043). The Else-Kröner Fresenius Foundation supported J.K.L.
Author Contributions
Study design: D.R.T., J.B.r., J.L., D.W., S.J., M.W., A.R., A.C.L.; Experiments: L.K., J.B.r., L.F., K.B., S.J., M.W., D.R.T.; Clinical pathology: D.R.T., L.K., J.L., J.B.e., P.M., J.B.r., S.J.; Clinical cardiology data collection and analysis: L.K., D.W.; Neuropathology: D.R.T.; Statistical analysis: L.K., D.R.T.; Data interpretation: D.R.T., L.K., J.B.r., S.J., M.W.; Manuscript preparation: L.K., D.R.T.; Critical Manuscript Review: J.B.r., J.L., D.W., L.F., K.B., J.B.e., P.M., S.J., M.W., A.R., A.C.L.
Data Availability
All cases are listed in supplementary table with measurements obtained throughout this study, with the main clinical diagnosis, age and gender. Due to legislation and privacy protection any medical reports and files of the cases included in this study cannot be made available.
Competing Interests
D.R.T. received consultant honorary from GE-Healthcare (UK), and Covance Laboratories (UK), received a speaker honorarium from Novartis Pharma A.G. (Switzerland), and collaborated with Novartis Pharma A.G. (Switzerland), Probiodrug (Germany), GE-Healthcare (UK), and Janssen Pharmaceutical Companies (Belgium).
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-018-34808-7.
References
- 1.Sugawara M, et al. A novel de novo mutation in the desmin gene causes desmin myopathy with toxic aggregates. Neurology. 2000;55:986–990. doi: 10.1212/WNL.55.7.986. [DOI] [PubMed] [Google Scholar]
- 2.Hubbers CU, et al. Pathological consequences of VCP mutations on human striated muscle. Brain. 2007;130:381–393. doi: 10.1093/brain/awl238. [DOI] [PubMed] [Google Scholar]
- 3.Haumeder, M. E. Basophilic Degeneration of Heart Muscle. Am J Pathol11, 535-540 531 (1935). [PMC free article] [PubMed]
- 4.Hewitt JH. A peculiar degeneration found in heart muscle cells. A preliminary report. Johns Hopkins Hospital Bulletin. 1910;21:279–280. [Google Scholar]
- 5.Rosai J, Lascano EF. Basophilic (mucoid) degeneration of myocardium: a disorder of glycogen metabolism. Am J Pathol. 1970;61:99–116. [PMC free article] [PubMed] [Google Scholar]
- 6.Scotti TM. Basophilic (mucinous) degeneration of the myocardium. Am J Clin Pathol. 1955;25:994–1011. doi: 10.1093/ajcp/25.9.994. [DOI] [PubMed] [Google Scholar]
- 7.Tamura S, Takahashi M, Kawamura S, Ishihara T. Basophilic degeneration of the myocardium: histological, immunohistochemical and immuno-electronmicroscopic studies. Histopathology. 1995;26:501–508. doi: 10.1111/j.1365-2559.1995.tb00268.x. [DOI] [PubMed] [Google Scholar]
- 8.Kang J, et al. The precursor of Alzheimer’s disease amyloid A4 protein resembles a cell-surface receptor. Nature. 1987;325:733–736. doi: 10.1038/325733a0. [DOI] [PubMed] [Google Scholar]
- 9.Haass C, Kaether C, Thinakaran G, Sisodia S. Trafficking and proteolytic processing of APP. Cold Spring Harb Perspect Med. 2012;2:a006270. doi: 10.1101/cshperspect.a006270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Selkoe DJ, Hardy J. The amyloid hypothesis of Alzheimer’s disease at 25 years. EMBO Mol Med. 2016;8:595–608. doi: 10.15252/emmm.201606210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Spires-Jones TL, Attems J, Thal DR. Interactions of pathological proteins in neurodegenerative diseases. Acta Neuropathol. 2017;134:187–205. doi: 10.1007/s00401-017-1709-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.He Z, et al. Amyloid-beta plaques enhance Alzheimer’s brain tau-seeded pathologies by facilitating neuritic plaque tau aggregation. Nat Med. 2018;24:29–38. doi: 10.1038/nm.4443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Glenner GG, Wong CW. Alzheimer’s disease: initial report of the purification and characterization of a novel cerebrovascular amyloid protein. Biochem Biophys Res Commun. 1984;120:885–890. doi: 10.1016/S0006-291X(84)80190-4. [DOI] [PubMed] [Google Scholar]
- 14.Calhoun ME, et al. Neuronal overexpression of mutant amyloid precursor protein results in prominent deposition of cerebrovascular amyloid. Proc Natl Acad Sci USA. 1999;96:14088–14093. doi: 10.1073/pnas.96.24.14088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Held F, et al. Vascular basement membrane alterations and beta-amyloid accumulations in an animal model of cerebral small vessel disease. Clin Sci (Lond) 2017;131:1001–1013. doi: 10.1042/CS20170004. [DOI] [PubMed] [Google Scholar]
- 16.Jandke, S. et al. The association between hypertensive arteriopathy and cerebral amyloid angiopathy in spontaneously hypertensive stroke-prone rats. Brain Pathol, 10.1111/bpa.12629 (2018). [DOI] [PMC free article] [PubMed]
- 17.Zhang Z, et al. Delta-secretase cleaves amyloid precursor protein and regulates the pathogenesis in Alzheimer’s disease. Nat Commun. 2015;6:8762. doi: 10.1038/ncomms9762. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Willem Michael, Tahirovic Sabina, Busche Marc Aurel, Ovsepian Saak V., Chafai Magda, Kootar Scherazad, Hornburg Daniel, Evans Lewis D. B., Moore Steven, Daria Anna, Hampel Heike, Müller Veronika, Giudici Camilla, Nuscher Brigitte, Wenninger-Weinzierl Andrea, Kremmer Elisabeth, Heneka Michael T., Thal Dietmar R., Giedraitis Vilmantas, Lannfelt Lars, Müller Ulrike, Livesey Frederick J., Meissner Felix, Herms Jochen, Konnerth Arthur, Marie Hélène, Haass Christian. η-Secretase processing of APP inhibits neuronal activity in the hippocampus. Nature. 2015;526(7573):443–447. doi: 10.1038/nature14864. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Slunt HH, et al. Expression of a ubiquitous, cross-reactive homologue of the mouse beta-amyloid precursor protein (APP) J Biol Chem. 1994;269:2637–2644. [PubMed] [Google Scholar]
- 20.Jacobsen KT, Iverfeldt K. Amyloid precursor protein and its homologues: a family of proteolysis-dependent receptors. Cell Mol Life Sci. 2009;66:2299–2318. doi: 10.1007/s00018-009-0020-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Shariati SA, De Strooper B. Redundancy and divergence in the amyloid precursor protein family. FEBS Lett. 2013;587:2036–2045. doi: 10.1016/j.febslet.2013.05.026. [DOI] [PubMed] [Google Scholar]
- 22.Greco S, et al. Increased BACE1-AS long noncoding RNA and beta-amyloid levels in heart failure. Cardiovasc Res. 2017;113:453–463. doi: 10.1093/cvr/cvx013. [DOI] [PubMed] [Google Scholar]
- 23.De Bleecker JL, Engel AG, Ertl BB. Myofibrillar myopathy with abnormal foci of desmin positivity. II. Immunocytochemical analysis reveals accumulation of multiple other proteins. J Neuropathol Exp Neurol. 1996;55:563–577. doi: 10.1097/00005072-199605000-00009. [DOI] [PubMed] [Google Scholar]
- 24.Vonsattel JP, et al. Cerebral amyloid angiopathy without and with cerebral hemorrhages: a comparative histological study. Ann Neurol. 1991;30:637–649. doi: 10.1002/ana.410300503. [DOI] [PubMed] [Google Scholar]
- 25.Thal DR, Ghebremedhin E, Orantes M, Wiestler OD. Vascular pathology in Alzheimer’s disease: Correlation of cerebral amyloid angiopathy and arteriosclerosis/lipohyalinosis with cognitive decline. J Neuropathol Exp Neurol. 2003;62:1287–1301. doi: 10.1093/jnen/62.12.1287. [DOI] [PubMed] [Google Scholar]
- 26.Larionov S, et al. The intronic deletion polymorphism of the a2-macroglobulin gene modulates the severity and extent of atherosclerosis in the circle of Willis. Neuropathol Appl Neurobiol. 2006;32:451–454. doi: 10.1111/j.1365-2990.2006.00743.x. [DOI] [PubMed] [Google Scholar]
- 27.Thal DR, et al. Sequence of Abeta-protein deposition in the human medial temporal lobe. J Neuropathol Exp Neurol. 2000;59:733–748. doi: 10.1093/jnen/59.8.733. [DOI] [PubMed] [Google Scholar]
- 28.Braak H, Braak E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 1991;82:239–259. doi: 10.1007/BF00308809. [DOI] [PubMed] [Google Scholar]
- 29.Mirra SS, et al. The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer’s disease. Neurology. 1991;41:479–486. doi: 10.1212/WNL.41.4.479. [DOI] [PubMed] [Google Scholar]
- 30.Hyman BT, et al. National Institute on Aging–Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease. Alzheimers Dement. 2012;8:1–13. doi: 10.1016/j.jalz.2011.10.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Greenberg, S. M. Handbook of Neurosurgery. 4th. edn, (Greenberg Graphics, 1997).
- 32.Mandybur TI. Cerebral amyloid angiopathy: the vascular pathology and complications. J Neuropathol Exp Neurol. 1986;45:79–90. doi: 10.1097/00005072-198601000-00007. [DOI] [PubMed] [Google Scholar]
- 33.Thal DR, Grinberg LT, Attems J. Vascular dementia: Different forms of vessel disorders contribute to the development of dementia in the elderly brain. Exp Gerontol. 2012;47:816–824. doi: 10.1016/j.exger.2012.05.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Wolfe MS, et al. Two transmembrane aspartates in presenilin-1 required for presenilin endoproteolysis and gamma-secretase activity. Nature. 1999;398:513–517. doi: 10.1038/19077. [DOI] [PubMed] [Google Scholar]
- 35.Li D, et al. Mutations of presenilin genes in dilated cardiomyopathy and in heart failure. Am J Human Genet. 2006;79:1030–1039. doi: 10.1086/509900. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Polymeropoulos MH, et al. Mutation in the alpha-synuclein gene identified in families with Parkinson’s disease. Science. 1997;276:2045–2047. doi: 10.1126/science.276.5321.2045. [DOI] [PubMed] [Google Scholar]
- 37.Sreedharan J, et al. TDP-43 mutations in familial and sporadic amyotrophic lateral sclerosis. Science. 2008;319:1668–1672. doi: 10.1126/science.1154584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.McMillan EM, et al. Autophagic signaling and proteolytic enzyme activity in cardiac and skeletal muscle of spontaneously hypertensive rats following chronic aerobic exercise. PLoS One. 2015;10:e0119382. doi: 10.1371/journal.pone.0119382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Liu S, et al. Autophagy activation attenuates angiotensin II-induced cardiac fibrosis. Arch Biochem Biophys. 2016;590:37–471. doi: 10.1016/j.abb.2015.11.001. [DOI] [PubMed] [Google Scholar]
- 40.Muhammad E, et al. PLEKHM2 mutation leads to abnormal localization of lysosomes, impaired autophagy flux and associates with recessive dilated cardiomyopathy and left ventricular noncompaction. Hum Mol Genet. 2015;24:7227–7240. doi: 10.1093/hmg/ddv423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Gerth J, et al. Modified amyloid variants in pathological subgroups of beta-amyloidosis. Ann Clin Transl Neurol. 2018;5:815–831. doi: 10.1002/acn3.577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Thal DR, et al. Pathology of clinical and preclinical Alzheimer’s disease. Eur Arch Psychiatry Clin Neurosci. 2013;263(Suppl 2):S137–S145. doi: 10.1007/s00406-013-0449-5. [DOI] [PubMed] [Google Scholar]
- 43.Goodpaster T, Randolph-Habecker J. A flexible mouse-on-mouse immunohistochemical staining technique adaptable to biotin-free reagents, immunofluorescence, and multiple antibody staining. J Histochem Cytochem. 2014;62:197–204. doi: 10.1369/0022155413511620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Page RM, et al. Beta-amyloid precursor protein mutants respond to gamma-secretase modulators. J Biol Chem. 2010;285:17798–17810. doi: 10.1074/jbc.M110.103283. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All cases are listed in supplementary table with measurements obtained throughout this study, with the main clinical diagnosis, age and gender. Due to legislation and privacy protection any medical reports and files of the cases included in this study cannot be made available.