Cited by 16

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Reduced Levels of ABCA1 Transporter Are Responsible for the Cholesterol Efflux Impairment in β-Amyloid-Induced Reactive Astrocytes: Potential Rescue from Biomimetic HDLs

Sierri, Giulia, Dal Magro, Roberta, Vergani, Barbara, Leone, Biagio Eugenio, Formicola, Beatrice, Taiarol, Lorenzo, Fagioli, Stefano, Kravicz, Marcelo, Tremolizzo, Lucio, Calabresi, Laura, Re, Francesca·2021·International Journal of Molecular Sciences

Abstract

The cerebral synthesis of cholesterol is mainly handled by astrocytes, which are also responsible for apoproteins’ synthesis and lipoproteins’ assembly required for the cholesterol transport in the brain parenchyma. In Alzheimer disease (AD), these processes are impaired, likely because of the astrogliosis, a process characterized by morphological and functional changes in astrocytes. Several ATP-binding cassette transporters expressed by brain cells are involved in the formation of nascent discoidal lipoproteins, but the effect of beta-amyloid (Aβ) assemblies on this process is not fully understood. In this study, we investigated how of Aβ1-42-induced astrogliosis affects the metabolism of cholesterol in vitro. We detected an impairment in the cholesterol efflux of reactive astrocytes attributable to reduced levels of ABCA1 transporters that could explain the decreased lipoproteins’ levels detected in AD patients. To approach this issue, we designed biomimetic HDLs and evaluated their performance as cholesterol acceptors. The results demonstrated the ability of apoA-I nanodiscs to cross the blood–brain barrier in vitro and to promote the cholesterol efflux from astrocytes, making them suitable as a potential supportive treatment for AD to compensate the depletion of cerebral HDLs.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/ijms23010102

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Assessment of Aβ aggregation. (a) Oligomers’ and fibrils’ preparations of Aβ1-42 were characterized by SDS-PAGE/WB. Representative Western blot of Aβ1-42 probed with anti-Aβ 6E10 and visualized by ECL is shown. (b) Quantification of the optical density (O.D.) of bands, expressed as %. (c) Turbidity at 330 nm. (d) Thioflavin T (ThT) fluorescence. Experiments were performed in triplicate and data are presented as mean ± standard deviation.
Figure 1 Assessment of Aβ aggregation. (a) Oligomers’ and fibrils’ preparations of Aβ1-42 were characterized by SDS-PAGE/WB. Representative Western blot of Aβ1-42 probed with anti-Aβ 6E10 and visualized by ECL is shown. (b) Quantification of the optical density (O.D.) of bands, expressed as %. (c) Turbidity at 330 nm. (d) Thioflavin T (ThT) fluorescence. Experiments were performed in triplicate and data are presented as mean ± standard deviation.CC BY · PubMed Central
Figure 2 Cell viability after exposure to Aβ. NHA cells were incubated with different doses of Aβ oligomers (a) or fibrils (b) ranging from 1 to 20 μM, for 24 or 48 h. The cytotoxicity of treatments was assessed by MTT assay; * p < 0.05; ** p < 0.01; *** p < 0.001; and **** p< 0.0001 (two-way ANOVA).
Figure 2 Cell viability after exposure to Aβ. NHA cells were incubated with different doses of Aβ oligomers (a) or fibrils (b) ranging from 1 to 20 μM, for 24 or 48 h. The cytotoxicity of treatments was assessed by MTT assay; * p < 0.05; ** p < 0.01; *** p < 0.001; and **** p< 0.0001 (two-way ANOVA).CC BY · PubMed Central
Figure 3 Quantification of GFAP expression levels in NHA after exposure to Aβ1-42 oligomers via SDS-PAGE/WB. NHA cells were treated with a preparation of Aβ1-42, enriched in oligomers, at increasing concentrations (1 μM, 10 μM, and 20 μM) for 24 (a) and 48 (b) h. The data are expressed as the mean of the samples in triplicate ± SEM; * p <0.05 (one-way ANOVA).
Figure 3 Quantification of GFAP expression levels in NHA after exposure to Aβ1-42 oligomers via SDS-PAGE/WB. NHA cells were treated with a preparation of Aβ1-42, enriched in oligomers, at increasing concentrations (1 μM, 10 μM, and 20 μM) for 24 (a) and 48 (b) h. The data are expressed as the mean of the samples in triplicate ± SEM; * p <0.05 (one-way ANOVA).CC BY · PubMed Central
Figure 4 Quantification of GFAP expression levels in NHA after exposure to Aβ1-42 fibrils via SDS-PAGE/WB. NHA cells were treated with a preparation of Aβ1-42, enriched in fibrils, at increasing concentrations (1 μM, 10 μM, and 20 μM) for 24 (a) and 48 (b) h. The data are expressed as the mean of the samples in triplicate ± SEM; **** p < 0.0001 (one-way ANOVA).
Figure 4 Quantification of GFAP expression levels in NHA after exposure to Aβ1-42 fibrils via SDS-PAGE/WB. NHA cells were treated with a preparation of Aβ1-42, enriched in fibrils, at increasing concentrations (1 μM, 10 μM, and 20 μM) for 24 (a) and 48 (b) h. The data are expressed as the mean of the samples in triplicate ± SEM; **** p < 0.0001 (one-way ANOVA).CC BY · PubMed Central
Figure 5 Evaluation of cholesterol efflux from astrocytes in AD-like conditions, in the presence of ACM as acceptor of cholesterol. The cholesterol efflux was measured using the Cholesterol Efflux Assay kit, after treatment with Aβ1-42 oligomers (1 μM or 10 μM) for 24 (a) or 48 (b) h. The fluorescence of supernatant and of cellular lysates was measured by spectrofluorometer. Data are expressed as the mean of the samples in triplicate ± SEM; * p < 0.05; **** p < 0.0001 (2way ANOVA).
Figure 5 Evaluation of cholesterol efflux from astrocytes in AD-like conditions, in the presence of ACM as acceptor of cholesterol. The cholesterol efflux was measured using the Cholesterol Efflux Assay kit, after treatment with Aβ1-42 oligomers (1 μM or 10 μM) for 24 (a) or 48 (b) h. The fluorescence of supernatant and of cellular lysates was measured by spectrofluorometer. Data are expressed as the mean of the samples in triplicate ± SEM; * p < 0.05; **** p < 0.0001 (2way ANOVA).CC BY · PubMed Central
Figure 6 Quantification of ABCA1/ABCG1 expression levels in NHA after exposure to Aβ1-42 oligomers via SDS-PAGE/WB. NHA cells were treated with increasing concentrations (1 μM, 10 μM) of oligomers-enriched Aβ1-42 samples for 24, 48, or 72 h, and ABCA1 (a) and ABCG1 (b) levels were evaluated. The data are expressed as the mean of the samples in triplicate ± SEM; * p < 0.05; ** p < 0.01; **** p < 0.0001 (two-way ANOVA).
Figure 6 Quantification of ABCA1/ABCG1 expression levels in NHA after exposure to Aβ1-42 oligomers via SDS-PAGE/WB. NHA cells were treated with increasing concentrations (1 μM, 10 μM) of oligomers-enriched Aβ1-42 samples for 24, 48, or 72 h, and ABCA1 (a) and ABCG1 (b) levels were evaluated. The data are expressed as the mean of the samples in triplicate ± SEM; * p < 0.05; ** p < 0.01; **** p < 0.0001 (two-way ANOVA).CC BY · PubMed Central
Figure 7 TEM image of the nanodiscs. Characteristic negative stain electron microscopic image of nascent HDL, along with two expanded views of the indicated insets. The scale bar corresponds to 100 or 50 nm. (a) Nanodiscs viewed laterally are indicated by yellow arrows. (b) Enlargement of a nanodisc decorated with apoA-I.
Figure 7 TEM image of the nanodiscs. Characteristic negative stain electron microscopic image of nascent HDL, along with two expanded views of the indicated insets. The scale bar corresponds to 100 or 50 nm. (a) Nanodiscs viewed laterally are indicated by yellow arrows. (b) Enlargement of a nanodisc decorated with apoA-I.CC BY · PubMed Central
Figure 8 Evaluation of the ability of apoA-1 nanodiscs as cholesterol acceptors. The cholesterol efflux was measured using the Cholesterol Efflux Assay kit. NHA cells were treated with different cholesterol acceptors: free apoA-I, nanodiscs, apoA-I nanodiscs, and ACM. The fluorescence of supernatant and of cell lysates was measured by spectrofluorometer; * p < 0.05; *** p < 0.001 (one-way ANOVA).
Figure 8 Evaluation of the ability of apoA-1 nanodiscs as cholesterol acceptors. The cholesterol efflux was measured using the Cholesterol Efflux Assay kit. NHA cells were treated with different cholesterol acceptors: free apoA-I, nanodiscs, apoA-I nanodiscs, and ACM. The fluorescence of supernatant and of cell lysates was measured by spectrofluorometer; * p < 0.05; *** p < 0.001 (one-way ANOVA).CC BY · PubMed Central
Figure 9 Evaluation of apoA-I nanodiscs efficacy in AD-like condition. (a) The cholesterol efflux was measured using the Cholesterol Efflux Assay kit. After treating the cells with Aβ1-42 oligomers (1 μM or 10 μM) for 24 h, two different cholesterol acceptors, ACM or apoA-I nanodiscs (40 μg/mL), were added. The fluorescence of supernatant and cell lysates was measured by spectrofluorometer. (b) Detection of cell viability, GFAP, and ABCA1 levels to confirm the apoA-I efficacy in restoring some cellular processes related to AD that were compromised by Aβ oligomers; * p <0.05; ** p ≤ 0.01; *** p ≤ 0.001 (one-way ANOVA).
Figure 9 Evaluation of apoA-I nanodiscs efficacy in AD-like condition. (a) The cholesterol efflux was measured using the Cholesterol Efflux Assay kit. After treating the cells with Aβ1-42 oligomers (1 μM or 10 μM) for 24 h, two different cholesterol acceptors, ACM or apoA-I nanodiscs (40 μg/mL), were added. The fluorescence of supernatant and cell lysates was measured by spectrofluorometer. (b) Detection of cell viability, GFAP, and ABCA1 levels to confirm the apoA-I efficacy in restoring some cellular processes related to AD that were compromised by Aβ oligomers; * p <0.05; ** p ≤ 0.01; *** p ≤ 0.001 (one-way ANOVA).CC BY · PubMed Central
Figure 10 Characterization of the BBB in vitro model and evaluation of the passage of nanodiscs. (a) TEER values of the cell monolayer from day 3 to day 7 of growth on transwell reaching a maximum value of 44 Ω × cm2 on the seventh day of growth. (b) Evaluation of the passage of fluorescently labelled nanodiscs and apoA-I nanodiscs; * p <0.05 (Student’s t test).
Figure 10 Characterization of the BBB in vitro model and evaluation of the passage of nanodiscs. (a) TEER values of the cell monolayer from day 3 to day 7 of growth on transwell reaching a maximum value of 44 Ω × cm2 on the seventh day of growth. (b) Evaluation of the passage of fluorescently labelled nanodiscs and apoA-I nanodiscs; * p <0.05 (Student’s t test).CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Research works printed but not linked: 38

  1. Hussain, 2019, Role of Cholesterol and Sphingolipids in Brain Development and Neurological Diseases, Lipids Health Dis., 18, 26, 10.1186/s12944-019-0965-z · DOI
  2. Gosselet, 2019, Oxysterols and the NeuroVascular Unit (NVU): A Far True Love with Bright and Dark Sides, J. Steroid Biochem. Mol. Biol., 191, 105368, 10.1016/j.jsbmb.2019.04.017 · DOI
  3. Chen, 2013, Cholesterol Efflux Is Differentially Regulated in Neurons and Astrocytes: Implications for Brain Cholesterol Homeostasis, Biochim. Biophys. Acta, 1831, 263, 10.1016/j.bbalip.2012.09.007 · DOI · Paper page
  4. Vitali, 2014, HDL and Cholesterol Handling in the Brain, Cardiovasc. Res., 103, 405, 10.1093/cvr/cvu148 · DOI · Paper page
  5. Arenas, 2017, Intracellular Cholesterol Trafficking and Impact in Neurodegeneration, Front. Mol. Neurosci., 10, 382, 10.3389/fnmol.2017.00382 · DOI
  6. Meaney, 2004, Brain Cholesterol: Long Secret Life behind a Barrier, Arterioscler. Thromb. Vasc. Biol., 24, 806, 10.1161/01.ATV.0000120374.59826.1b · DOI · Paper page
  7. Kamphuis, W., Mamber, C., Moeton, M., Kooijman, L., Sluijs, J.A., Jansen, A.H., Verveer, M., de Groot, L.R., Smith, V.D., and Rangarajan, S. (2012). GFAP Isoforms in Adult Mouse Brain with a Focus on Neurogenic Astrocytes and Reactive Astrogliosis in Mouse Models of Alzheimer Disease. PLoS ONE, 7. · DOI
  8. Wahrle, 2004, ABCA1 Is Required for Normal Central Nervous System apoE Levels and for Lipidation of Astrocyte-Secreted apoE, J. Biol. Chem., 279, 40987, 10.1074/jbc.M407963200 · DOI · Paper page
  9. Liu, 2013, Apolipoprotein E and Alzheimer Disease: Risk, Mechanisms, and Therapy, Nat. Rev. Neurosci., 9, 106
  10. Roheim, 1979, Apolipoproteins in Human Cerebrospinal Fluid, Proc. Natl. Acad. Sci. USA, 76, 4646, 10.1073/pnas.76.9.4646 · DOI · Paper page
  11. Elliott, 2010, Apolipoproteins in the Brain: Implications for Neurological and Psychiatric Disorders, Clin. Lipidol., 51, 555, 10.2217/clp.10.37 · DOI · Paper page
  12. Merched, 2000, Decreased High-Density Lipoprotein Cholesterol and Serum Apolipoprotein AI Concentrations Are Highly Correlated with the Severity of Alzheimer’s Disease, Neurobiol. Aging, 21, 27, 10.1016/S0197-4580(99)00103-7 · DOI
  13. Zetterberg, 2010, Biochemical Markers in Alzheimer’s Disease Clinical Trials, Biomark. Med., 4, 91, 10.2217/bmm.09.80 · DOI
  14. Nardo, 2016, Fluorimetric Detection of the Earliest Events in Amyloid β Oligomerization and Its Inhibition by Pharmacologically Active Liposomes, Biochim. Biophys. Acta, 1860, 746, 10.1016/j.bbagen.2016.01.003 · DOI
  15. Balducci, 2014, Multifunctional Liposomes Reduce Brain β-Amyloid Burden and Ameliorate Memory Impairment in Alzheimer’s Disease Mouse Models, J. Neurosci. Off. J. Soc. Neurosci., 34, 14022, 10.1523/JNEUROSCI.0284-14.2014 · DOI · Paper page
  16. Bana, 2014, Liposomes Bi-Functionalized with Phosphatidic Acid and an ApoE-Derived Peptide Affect Aβ Aggregation Features and Cross the Blood-Brain-Barrier: Implications for Therapy of Alzheimer Disease, Nanomed. Nanotechnol. Biol. Med., 10, 1583, 10.1016/j.nano.2013.12.001 · DOI
  17. Sengupta, 2016, The Role of Amyloid-β Oligomers in Toxicity, Propagation, and Immunotherapy, EBioMedicine, 6, 42, 10.1016/j.ebiom.2016.03.035 · DOI · Paper page
  18. Chafekar, 2008, Oligomer-Specific Abeta Toxicity in Cell Models Is Mediated by Selective Uptake, Biochim. Biophys. Acta. Sep., 1782, 523, 10.1016/j.bbadis.2008.06.003 · DOI
  19. Korolainen, 2005, Proteomic Analysis of Glial Fibrillary Acidic Protein in Alzheimer’s Disease and Aging Brain, Neurobiol. Dis., 20, 858, 10.1016/j.nbd.2005.05.021 · DOI
  20. Jacque, 1978, Determination of Glial Fibrillary Acidic Protein (GFAP) in Human Brain Tumors, J. Neurol. Sci., 35, 147, 10.1016/0022-510X(78)90107-7 · DOI
  21. Hara, 1991, Proliferative Assessment of GFAP-Positive and GFAP-Negative Glioma Cells by Nucleolar Organizer Region Staining, Surg. Neurol., 36, 190, 10.1016/0090-3019(91)90111-L · DOI
  22. Fünfschilling, U., Saher, G., Xiao, L., Möbius, W., and Nave, K.A. (2007). Survival of Adult Neurons Lacking Cholesterol Synthesis in vivo. BMC Neurosci., 8. · DOI · Paper page
  23. Fitz, 2015, Opposing Effects of Apoe/Apoa1 Double Deletion on Amyloid-β Pathology and Cognitive Performance in APP Mice, Brain, 138, 3699, 10.1093/brain/awv293 · DOI
  24. Slot, 2017, Apolipoprotein A1 in Cerebrospinal Fluid and Plasma and Progression to Alzheimer′s Disease in Non-Demented Elderly, J. Alzheimer’s Dis., 56, 687, 10.3233/JAD-151068 · DOI
  25. Dai, 2018, Liposomes and Lipid Disks Traverse the BBB and BBTB as Intact Forms as Revealed by Two-Step Förster Resonance Energy Transfer Imaging, Acta Pharm. Sinica B, 8, 261, 10.1016/j.apsb.2018.01.004 · DOI
  26. Wu, 2009, Double Superhelix Model of High Density Lipoprotein, J. Biol. Chem., 284, 36605, 10.1074/jbc.M109.039537 · DOI
  27. Rizzuto, 2021, H-Ferritin Nanoparticle-Mediated Delivery of Antibodies Across a BBB in vitro Model for Treatment of Brain Malignancies, Biomater. Sci., 9, 2032, 10.1039/D0BM01726D · DOI
  28. Weksler, 2005, Blood-Brain Barrier-Specific Properties of a Human Adult Brain Endothelial Cell Line, FASEB J., 19, 1872, 10.1096/fj.04-3458fje · DOI
  29. Simonelli, 2019, The Extent of Human Apolipoprotein a-i Lipidation Strongly Affects the β-Amyloid Efflux Across the Blood-Brain Barrier in vitro, Front. Neurosci., 13, 419, 10.3389/fnins.2019.00419 · DOI
  30. Zhou, 2012, Apolipoprotein A-I Crosses the Blood-Brain Barrier through Clathrin-Independent and Cholesterol-Mediated Endocytosis, Cancer Res., 369, 282
  31. Balazs, 2004, Uptake and Transport of High-Density Lipoprotein (HDL) and HDL-Associated Alpha-Tocopherol by an in vitro Blood-Brain Barrier Model, J. Neurochem., 89, 939, 10.1111/j.1471-4159.2004.02373.x · DOI
  32. Dal Magro, R., Vitali, A., Fagioli, S., Casu, A., Falqui, A., Formicola, B., Taiarol, L., Cassina, V., Marrano, C.A., and Mantegazza, F. (2021). Oxidative Stress Boosts the Uptake of Cerium Oxide Nanoparticles by Changing Brain Endothelium Microvilli Pattern. Antioxidants, 10. · DOI
  33. Mancini, 2016, The Hunt for Brain Aβ Oligomers by Peripherally Circulating Multi-Functional Nanoparticles: Potential Therapeutic Approach for Alzheimer Disease, Nanomed. Nanotechnol. Biol. Med., 12, 43, 10.1016/j.nano.2015.09.003 · DOI
  34. Smith, 1985, Measurement of Protein Using Bicinchoninic Acid, Anal. Biochem., 150, 76, 10.1016/0003-2697(85)90442-7 · DOI · Paper page
  35. Robinson, 2014, Quantification of Quaternary Structure Stability in Aggregation-Prone Proteins under Physiological Conditions: The Transthyretin Case, Biochemistry, 53, 6496, 10.1021/bi500739q · DOI
  36. Stewart, 1980, Colorimetric Determination of Phospholipids with Ammonium Ferrothiocyanate, Anal. Biochem., 104, 10, 10.1016/0003-2697(80)90269-9 · DOI
  37. Gobbi, 2010, Lipid-Based Nanoparticles with High Binding Affinity for Amyloid-Beta1–42 Peptide, Biomaterials, 31, 6519, 10.1016/j.biomaterials.2010.04.044 · DOI · Paper page
  38. Omidi, 2003, Evaluation of the Immortalised Mouse Brain Capillary Endothelial Cell Line, b.End3, as an in vitro Blood-Brain Barrier Model for Drug Uptake and Transport Studies, Brain Res., 990, 95, 10.1016/S0006-8993(03)03443-7 · DOI · Paper page

Cited by

Sorted by citations

Metadata

Authors
Sierri, G., Dal Magro, R., Vergani, B., Leone, B. E., Formicola, B., Taiarol, L., Fagioli, S., Kravicz, M., Tremolizzo, L., Calabresi, L., & Re, F.
Affiliations
  • BioNanoMedicine Center NANOMIB, School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
  • School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
  • Department of Pharmacological and Biomolecular Science, Centro Grossi Paoletti, University of Milan, 20133 Milan, Italy
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2021-12-22
Volume
23
Issue
1
Pages
102
ISSN
1422-0067
Cited by
16
References
2
Language
en
Funders
PRIN Research Italy (2017PFYK27)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review