Cited by 7Alzheimer's disease research and treatmentsPesticide Exposure and ToxicityCholesterol and Lipid Metabolism

Dichlorodiphenyltrichloroethane Impairs Amyloid Beta Clearance by Decreasing Liver X Receptor α Expression

Open access
Wu, Dongmei, Hu, Yang, Song, Min, Li, Gongbo·2021·Frontiers in Aging Neuroscience

Abstract

Abnormal amyloid beta (Aβ) clearance is a distinctive pathological mechanism for Alzheimer’s disease (AD). ATP-binding cassette transporter A1 (ABCA1), which mediates the lipidation of apolipoprotein E, plays a critical role in Aβ clearance. As an environmental factor for AD, dichlorodiphenyltrichloroethane (DDT) can decrease ATP-binding cassette transporter A1 (ABCA1) expression and disrupt Aβ clearance. Liver X receptor α (LXRα) is an autoregulatory transcription factor for ABCA1 and a target of some environmental pollutants, such as organophosphate pesticides. In this study, we aimed to investigate whether DDT could affect Aβ clearance by targeting LXRα. The DDT-pretreated H4 human neuroglioma cells and immortalized astrocytes were incubated with exogenous Aβ to evaluate Aβ consumption. Meanwhile, cytotoxicity and LXRα expression were determined in the DDT-treated cells. Subsequently, the antagonism of DDT on LXRα agonist T0901317 was determined in vitro. The interaction between DDT and LXRα was predicted by molecular docking and molecular dynamics simulation technology. We observed that DDT could inhibit Aβ clearance and decrease the levels of LXRα mRNA and LXRα protein. Moreover, DDT is supposed to strongly bind to LXRα and exert antagonistic effects on LXRα. In conclusion, this study firstly presented that DDT could inhibit LXRα expression, which would contribute to Aβ clearance decline in vitro. It provides an experimental basis to search for potential therapeutic targets of AD.

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 · 10.3389/fnagi.2021.634948

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

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?

  • Dysregulation of ABCA1 impairs lipidation of APOE and reduces Aβ clearance, a process exacerbated by DDT, which suppresses LXRα-mediated ABCA1 expression.

    “Dysregulation of ABCA1, for example, impairs the lipidation of APOE and reduces Aβ clearance, a process exacerbated by environmental toxins such as dichlorodiphenyltrichloroethane (DDT), which suppresses liver X receptor alpha (LXRα)-mediated ABCA1 expression [36].”

    From Toward a Unified Framework in Molecular Neurobiology of Alzheimer’s Disease: Revisiting the Pathophysiological Hypotheses (2026) · cites this paper as [36]

    The Introduction says ABCA1 mediates ApoE lipidation and is critical for Aβ clearance. The Results report lower LXRα and ABCA1 protein levels and poorer Aβ clearance with DDT treatment. But the Discussion describes DDT’s disruption of ABCA1 expression *through* LXRα as a speculation, whereas the claim presents that mechanism as established. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 44

  1. Alzheimer’s Association (2013). 2016 Alzheimer’s disease facts and figures. Alzheimers Dement. 9, 208– 245. 10.1016/j.jalz.2016.03.001 23507120 · DOI · Paper page
  2. Bates K. A. Verdile G. Li Q. X. Ames D. Hudson P. Masters C. L.. (2009). Clearance mechanisms of Alzheimer’s amyloid-beta peptide: implications for therapeutic design and diagnostic tests. Mol. Psychiatry 14, 469– 486. 10.1038/mp.2008.96 18794889 · DOI · Paper page
  3. Billioti De Gage S. Moride Y. Ducruet T. Kurth T. Verdoux H. Tournier M.. (2014). Benzodiazepine use and risk of Alzheimer’s disease: case-control study. BMJ 349: g5205. 10.1136/bmj.g5205 25208536 PMC4159609 · DOI
  4. Caputo V. Termine A. Strafella C. Giardina E. Cascella R. (2020). Shared (epi)genomic background connecting neurodegenerative diseases and type 2 diabetes. World J. Diabetes 11, 155– 164. 10.4239/wjd.v11.i5.155 32477452 PMC7243483 · DOI
  5. Corona A. W. Kodoma N. Casali B. T. Landreth G. E. (2016). ABCA1 is necessary for bexarotene-mediated clearance of soluble amyloid beta from the hippocampus of APP/PS1 Mice. J. Neuroimmune Pharmacol. 11, 61– 72. 10.1007/s11481-015-9627-8 26175148 PMC6558963 · DOI
  6. Davies T. G. Field L. M. Usherwood P. N. Williamson M. S. (2007). DDT, pyrethrins, pyrethroids and insect sodium channels. IUBMB Life 59, 151– 162. 10.1080/15216540701352042 17487686 · DOI
  7. Di S. Liu R. Tian Z. Cheng C. Chen L. Zhang W.. (2017). Assessment of tissue-specific accumulation, elimination and toxic effects of dichlorodiphenyltrichloroethanes (DDTs) in carp through aquatic food web. Sci. Rep. 7: 2288. 10.1038/s41598-017-02612-4 28536421 PMC5442124 · DOI
  8. Erkkinen M. G. Kim M. O. Geschwind M. D. (2018). Clinical neurology and epidemiology of the major neurodegenerative diseases. Cold Spring Harb Perspect. Biol. 10: a033118. 10.1101/cshperspect.a033118 28716886 PMC5880171 · DOI
  9. Finch C. E. Kulminski A. M. (2019). The Alzheimer’s disease exposome. Alzheimers Dement 15, 1123– 1132. 10.1016/j.jalz.2019.06.3914 31519494 PMC6788638 · DOI
  10. Fitz N. F. Carter A. Y. Tapias V. Castranio E. L. Kodali R. Lefterov I.. (2017). ABCA1 deficiency affects basal cognitive deficits and dendritic density in mice. J. Alzheimers Dis. 56, 1075– 1085. 10.3233/JAD-161056 28106559 PMC5302049 · DOI
  11. Fleming L. Mann J. B. Bean J. Briggle T. Sanchez-Ramos J. R. (1994). Parkinson’s disease and brain levels of organochlorine pesticides. Ann. Neurol. 36, 100– 103. 10.1002/ana.410360119 7517654 · DOI
  12. Frigo D. E. Vigh K. A. Struckhoff A. P. Elliott S. Beckman B. S. Burow M. E.. (2005). Xenobiotic-induced TNF-α expression and apoptosis through the p38 MAPK signaling pathway. Toxicol. Lett. 155, 227– 238. 10.1016/j.toxlet.2004.09.008 15603917 · DOI
  13. Götz A. W. Williamson M. J. Xu D. Poole D. Le Grand S. Walker R. C. (2012). Routine microsecond molecular dynamics simulations with AMBER on GPUs. 1. Generalized Born. J. Chem. Theory Comput. 8, 1542– 1555. 10.1021/ct200909j 22582031 PMC3348677 · DOI
  14. Greenwood B. (2014). Treatment of malaria—a continuing challenge. N. Engl. J. Med. 371, 474– 475. 10.1056/NEJMe1407026 25075840 · DOI
  15. Hayden K. M. Norton M. C. Darcey D. Ostbye T. Zandi P. P. Breitner J. C.. (2010). Occupational exposure to pesticides increases the risk of incident AD: the Cache County study. Neurology 74, 1524– 1530. 10.1212/WNL.0b013e3181dd4423 20458069 PMC2875926 · DOI
  16. Iraola-Guzman S. Estivill X. Rabionet R. (2011). DNA methylation in neurodegenerative disorders: a missing link between genome and environment. Clin. Genet. 80, 1– 14. 10.1111/j.1399-0004.2011.01673.x 21542837 · DOI
  17. Jack C. R. Jr. Lowe V. J. Weigand S. D. Wiste H. J. Senjem M. L. Knopman D. S.. (2009). Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer’s disease: implications for sequence of pathological events in Alzheimer’s disease. Brain 132, 1355– 1365. 10.1093/brain/awp062 19339253 PMC2677798 · DOI · Paper page
  18. Kazantseva Y. A. Yarushkin A. A. Pustylnyak V. O. (2013). Dichlorodiphenyltrichloroethane technical mixture regulates cell cycle and apoptosis genes through the activation of CAR and ERα in mouse livers. Toxicol. Appl. Pharmacol. 271, 137– 143. 10.1016/j.taap.2013.05.008 23684557 · DOI
  19. Kelce W. R. Stone C. R. Laws S. C. Gray L. E. Kemppainen J. A. Wilson E. M. (1995). Persistent DDT metabolite p,p’-DDE is a potent androgen receptor antagonist. Nature 375, 581– 585. 10.1038/375581a0 7791873 · DOI
  20. Kim K. S. Lee Y. M. Lee H. W. Jacobs D. R. Jr. Lee D. H. (2015). Associations between organochlorine pesticides and cognition in U.S. elders: national health and nutrition examination survey 1999-2002. Environ. Int. 75, 87– 92. 10.1016/j.envint.2014.11.003 25461417 · DOI
  21. Kiyosawa N. Kwekel J. C. Burgoon L. D. Williams K. J. Tashiro C. Chittim B.. (2008). o,p’-DDT elicits PXR/CAR-, not ER-, mediated responses in the immature ovariectomized rat liver. Toxicol. Sci. 101, 350– 363. 10.1093/toxsci/kfm275 17984292 · DOI
  22. Laffitte B. A. Joseph S. B. Walczak R. Pei L. Wilpitz D. C. Collins J. L.. (2001). Autoregulation of the human liver receptor alpha promoter. Mol. Cell Biol. 21, 7558– 7568. 10.1128/MCB.21.22.7558-7568.2001 11604492 PMC99927 · DOI
  23. Matsushima A. (2018). A novel action of endocrine-disrupting chemicals on wildlife; DDT and its derivatives have remained in the environment. Int. J. Mol. Sci. 19: 1377. 10.3390/ijms19051377 29734751 PMC5983739 · DOI
  24. Medina-Diaz I. M. Arteaga-Illan G. de Leon M. B. Cisneros B. Sierra-Santoyo A. Vega L.. (2007). Pregnane X receptor-dependent induction of the CYP3A4 gene by o,p’-1,1,1,-trichloro-2,2-bis (p-chlorophenyl)ethane. Drug. Metab. Dispos. 35, 95– 102. 10.1124/dmd.106.011759 17035600 · DOI
  25. Morris G. M. Huey R. Lindstrom W. Sanner M. F. Belew R. K. Goodsell D. S.. (2009). AutoDock4 and AutoDockTools4: automated docking with selective receptor flexibility. J. Comput. Chem. 30, 2785– 2791. 10.1002/jcc.21256 19399780 PMC2760638 · DOI
  26. Mozzicafreddo M. Cuccioloni M. Bonfili L. Cecarini V. Palermo F. A. Cocci P.. (2015). Environmental pollutants directly affect the liver X receptor alpha activity: Kinetic and thermodynamic characterization of binding. J. Steroid Biochem. Mol. Biol. 152, 1– 7. 10.1016/j.jsbmb.2015.04.011 25869557 · DOI
  27. Niculescu A. B. Le-Niculescu H. Roseberry K. Wang S. Hart J. Kaur A.. (2020). Blood biomarkers for memory: toward early detection of risk for Alzheimer disease, pharmacogenomics and repurposed drugs. Mol. Psychiatry 25, 1651– 1672. 10.1038/s41380-019-0602-2 31792364 PMC7387316 · DOI
  28. Pierce L. C. Salomon-Ferrer R. Augusto F. de Oliveira C. McCammon J. A. Walker R. C. (2012). Routine access to ms time scale events with accelerated molecular dynamics. J. Chem. Theory Comput. 8, 2997– 3002. 10.1021/ct300284c 22984356 PMC3438784 · DOI
  29. Realdon O. Rossetto F. Nalin M. Baroni I. Cabinio M. Fioravanti R.. (2016). Technology-enhanced multi-domain at home continuum of care program with respect to usual care for people with cognitive impairment: the Ability-TelerehABILITation study protocol for a randomized controlled trial. BMC Psychiatry 16: 425. 10.1186/s12888-016-1132-y 27887597 PMC5123349 · DOI
  30. Richardson J. R. Roy A. Shalat S. L. von Stein R. T. Hossain M. M. Buckley B.. (2014). Elevated serum pesticide levels and risk for Alzheimer disease. JAMA Neurol. 71, 284– 290. 10.1001/jamaneurol.2013.6030 24473795 PMC4132934 · DOI
  31. Salomon-Ferrer R. Götz A. W. Poole D. Le Grand S. Walker R. C. (2013). Routine microsecond molecular dynamics simulations with Amber on GPUs. 2. Explicit solvent particle mesh Ewald. J. Chem. Theory Comput. 9, 3878– 3888. 10.1021/ct400314y 26592383 · DOI
  32. Sanner M. F. (1999). Python: a programming language for software integration and development. J. Mol. Graph. Model. 17, 57– 61. 10660911
  33. Singh N. Chhillar N. Banerjee B. Bala K. Basu M. Mustafa M. (2013). Organochlorine pesticide levels and risk of Alzheimer’s disease in north Indian population. Hum. Exp. Toxicol. 32, 24– 30. 10.1177/0960327112456315 22899726 · DOI
  34. Sousa Da Silva A. W. Vranken W. F. (2012). ACPYPE - anteChamber PYthon parser interfacE. BMC Res. Notes 5: 367. 10.1186/1756-0500-5-367 22824207 PMC3461484 · DOI
  35. Trott O. Olson A. J. (2010). AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading. J. Comput. Chem. 31, 455– 461. 10.1002/jcc.21334 19499576 PMC3041641 · DOI · Paper page
  36. van Wendel De Joode B. Wesseling C. Kromhout H. Monge P. Garcia M. Mergler D. (2001). Chronic nervous-system effects of long-term occupational exposure to DDT. Lancet 357, 1014– 1016. 10.1016/S0140-6736(00)04249-5 11293598 · DOI
  37. Wahrle S. E. Jiang H. Parsadanian M. Hartman R. E. Bales K. R. Paul S. M.. (2005). Deletion of Abca1 increases Aβ deposition in the PDAPP transgenic mouse model of Alzheimer disease. J. Biol. Chem. 280, 43236– 43242. 10.1074/jbc.M508780200 16207708 · DOI · Paper page
  38. Wang J. Wang W. Kollman P. A. Case D. A. (2006). Automatic atom type and bond type perception in molecular mechanical calculations. J. Mol. Graph. Model. 25, 247– 260. 10.1016/j.jmgm.2005.12.005 16458552 · DOI
  39. Wang J. Wolf R. M. Caldwell J. W. Kollman P. A. Case D. A. (2004). Development and testing of a general amber force field. J. Comput. Chem. 25, 1157– 1174. 10.1002/jcc.20035 15116359 · DOI
  40. Wang L. Zhang X. Lu Y. Tian M. Li Y. (2014). Dynamic changes of Apo A1 mediated by LXR/RXR/ABCA1 pathway in brains of the aging rats with cerebral hypoperfusion. Brain Res. Bull 100, 84– 92. 10.1016/j.brainresbull.2013.11.004 24291698 · DOI
  41. Wildsmith K. R. Holley M. Savage J. C. Skerrett R. Landreth G. E. (2013). Evidence for impaired amyloid beta clearance in Alzheimer’s disease. Alzheimers Res. Ther. 5: 33. 10.1186/alzrt187 23849219 PMC3978761 · DOI
  42. Wnuk A. Rzemieniec J. Przepiórska K. Wesołowska J. Wójtowicz A. K. Kajta M. (2020). Autophagy-related neurotoxicity is mediated via AHR and CAR in mouse neurons exposed to DDE. Sci. Total Environ. 742: 140599. 10.1016/j.scitotenv.2020.140599 32721735 · DOI
  43. Zelcer N. Khanlou N. Clare R. Jiang Q. Reed-Geaghan E. G. Landreth G. E.. (2007). Attenuation of neuroinflammation and Alzheimer’s disease pathology by liver X receptors. Proc. Natl. Acad. Sci. U S A 104, 10601– 10606. 10.1073/pnas.0701096104 17563384 PMC1890560 · DOI · Paper page
  44. Zhao J. Fu Y. Liu C. C. Shinohara M. Nielsen H. M. Dong Q.. (2014). Retinoic acid isomers facilitate apolipoprotein E production and lipidation in astrocytes through the retinoid X receptor/retinoic acid receptor pathway. J. Biol. Chem. 289, 11282– 11292. 10.1074/jbc.M113.526095 24599963 PMC4036266 · DOI

Cited by

Sorted by citations

Authors
Wu, D., Hu, Y., Song, M., & Li, G.
Affiliations
Second Affiliated Hospital of Chongqing Medical University (CN)
Corresponding author
Li, Gongbo
Venue
Frontiers in Aging Neuroscience
Published
2021-05-11
Volume
13
Pages
634948-634948
ISSN
1663-4365 (ISSN-L)
OpenAlex
W3162432672
Cited by
7
References
6
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 2
FWCI
0.76
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Aging Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission (cstc2019jcyj-msxmX0173)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Pesticide Exposure and Toxicity
  • Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
Keywords
DDT, amyloid-beta clearance, Alzheimer's disease, liver X receptor alpha, ABCA1, environmental pollutants, organophosphorus pesticides, T0901317, neurotoxicity, astrocytes, neuroglioma cells

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