Cited by 1Ion Transport and Channel RegulationIon channel regulation and functionProtein Structure and Dynamics

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Molecular simulations meet personalized medicine: The mechanism of action of CLC-5 antiporter and the origin of Dent's disease

Open access

Published version of a preprint

Abstract

ClC-5 is a Cl−/H+ antiporter crucial for the homeostasis of the entire organism, and whose functional deficiencies cause pathologies such as Dent's disease, a rare genetic disorder that can have lethal consequences. While the clinical aspects of the pathology are known, its molecular basis is elusive, which hampers the development of potential therapies. We present here a systematic study, where we explore the mechanism of transport of ClC-5, deciphering the choreography of structural changes required for the transport of chloride ions and protons in opposing directions. Once the mechanism is determined, we explore how the 523ΔVal deletion linked to Dent's disease hampers the correct functioning of the transporter, despite having a very minor structural impact. Our study highlights how state-of-the-art simulation methods can shed light on the origin of rare diseases and explore targets for personalized medicine.

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 · 10.1093/pnasnexus/pgaf353

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

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

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

Flagged first, then by citations

Research works printed but not linked: 58

  1. Pusch, 2015, ClC-5: physiological role and biophysical mechanisms, Cell Calcium, 58, 57, 10.1016/j.ceca.2014.09.007 · DOI
  2. Durán, 2021, Novel Dent disease 1 cellular models reveal biological processes underlying ClC-5 loss-of-function, Hum Mol Genet, 30, 1413, 10.1093/hmg/ddab131 · DOI
  3. Wu, 2009, Mutational analysis of CLC-5, cofilin and CLC-4 in patients with Dent's disease, Nephron Physiol, 112, p53, 10.1159/000225944 · DOI
  4. Gianesello, 2021, Genetics and phenotypic heterogeneity of Dent disease: the dark side of the moon, Hum Genet, 140, 401, 10.1007/s00439-020-02219-2 · DOI
  5. Zifarelli, 2012, On the mechanism of gating charge movement of ClC-5, a human Cl−/H+ antiporter, Biophys J, 102, 2060, 10.1016/j.bpj.2012.03.067 · DOI
  6. Zhang, 2023, Molecular basis of ClC-6 function and its impairment in human disease, Sci Adv, 9, 10.1126/sciadv.adg4479 · DOI
  7. Schrecker, 2020, Cryo-EM structure of the lysosomal chloride-proton exchanger CLC-7 in complex with OSTM1, Elife, 9, e59555, 10.7554/eLife.59555 · DOI
  8. Wang, 2019, Structure of the human ClC-1 chloride channel, PLoS Biol, 17, e3000218, 10.1371/journal.pbio.3000218 · DOI
  9. Park, 2017, Structure of a CLC chloride ion channel by cryo-electron microscopy, Nature, 541, 500, 10.1038/nature20812 · DOI
  10. Feng, 2010, Structure of a eukaryotic CLC transporter defines an intermediate state in the transport cycle, Science, 330, 635, 10.1126/science.1195230 · DOI
  11. Dutzler, 2002, X-ray structure of a ClC chloride channel at 3.0 Å reveals the molecular basis of anion selectivity, Nature, 415, 287, 10.1038/415287a · DOI
  12. Park, 2018, Structure of the CLC-1 chloride channel from homo sapiens, Elife, 7, e36629, 10.7554/eLife.36629 · DOI
  13. Dutzler, 2003, Gating the selectivity filter in ClC chloride channels, Science, 300, 108, 10.1126/science.1082708 · DOI
  14. Miller, 2021, Q-cubed mutant cues clues to CLC antiport mechanism, J Gen Physiol., 153, e202112868, 10.1085/jgp.202112868 · DOI
  15. Chavan, 2020, A CLC-ec1 mutant reveals global conformational change and suggests a unifying mechanism for the CLC Cl–/H+ transport cycle, Elife, 9, e53479, 10.7554/eLife.53479 · DOI
  16. Khantwal, 2016, Revealing an outward-facing open conformational state in a CLC Cl–/H+ exchange transporter, Elife, 5, e11189, 10.7554/eLife.11189 · DOI
  17. Basilio, 2014, Conformational changes required for H+/Cl− exchange mediated by a CLC transporter, Nat Struct Mol Biol, 21, 456, 10.1038/nsmb.2814 · DOI
  18. Wang, 2009, Proton transport pathway in the ClC Cl−/H+ antiporter, Biophys J, 97, 121, 10.1016/j.bpj.2009.04.038 · DOI
  19. Mayes, 2018, Multiscale kinetic modeling reveals an ensemble of Cl–/H+ exchange pathways in ClC-ec1 antiporter, J Am Chem Soc, 140, 1793, 10.1021/jacs.7b11463 · DOI
  20. Kuang, 2007, Proton pathways and H+/Cl− stoichiometry in bacterial chloride transporters, Proteins, 68, 26, 10.1002/prot.21441 · DOI
  21. Jayaram, 2011, Structure of a slow CLC Cl −/H + antiporter from a cyanobacterium, Biochemistry, 50, 788, 10.1021/bi1019258 · DOI
  22. Leisle, 2020, Divergent Cl- and H+ pathways underlie transport coupling and gating in CLC exchangers and channels, Elife, 9, e51224, 10.7554/eLife.51224 · DOI
  23. Lee, 2016, The origin of coupled chloride and proton transport in a Cl–/H+ antiporter, J Am Chem Soc, 138, 14923, 10.1021/jacs.6b06683 · DOI
  24. Ramos-Trujillo, 2013, Dent's disease: identification of seven new pathogenic mutations in the CLCN5 gene, J Pediatr Genet, 2, 133
  25. Takemura, 2001, Identification of two novel mutations in the CLCN5 gene in Japanese patients with familial idiopathic low molecular weight proteinuria (Japanese Dent's disease), Am J Kidney Dis., 37, 138, 10.1016/S0272-6386(01)80067-6 · DOI
  26. Perdomo-Ramírez, 2024, 4-Phenylbutyric acid treatment reduces low-molecular-weight proteinuria in a Clcn5 knock-in mouse model for Dent disease-1, Int J Mol Sci, 25, 8110, 10.3390/ijms25158110 · DOI
  27. Evans, 10.1101/2021.10.04.463034 · DOI · Paper page
  28. Mirdita, 2022, ColabFold: making protein folding accessible to all, Nat Methods, 19, 679, 10.1038/s41592-022-01488-1 · DOI · Paper page
  29. Cianfrocco, 2017, Practice and experience in advanced research computing 2017: sustainability, success and impact, 1, 10.1145/3093338.3093390 · DOI
  30. Russell, 1992, Multiple protein sequence alignment from tertiary structure comparison: assignment of global and residue confidence levels, Proteins, 14, 309, 10.1002/prot.340140216 · DOI
  31. Gordon, 2005, H++: a server for estimating pKas and adding missing hydrogens to macromolecules, Nucleic Acids Res, 33, W368, 10.1093/nar/gki464 · DOI
  32. Wu, 2014, CHARMM-GUI Membrane Builder toward realistic biological membrane simulations, J Comput Chem, 35, 1997, 10.1002/jcc.23702 · DOI
  33. Best, 2012, Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone ϕ, ψ and side-chain χ1 and χ2 dihedral angles, J Chem Theory Comput, 8, 3257, 10.1021/ct300400x · DOI
  34. Klauda, 2010, Update of the CHARMM all-atom additive force field for lipids: validation on six lipid types, J Phys Chem B., 114, 7830, 10.1021/jp101759q · DOI
  35. Huang, 2016, CHARMM36m: an improved force field for folded and intrinsically disordered proteins, Nat Methods, 14, 71, 10.1038/nmeth.4067 · DOI
  36. Jorgensen, 1983, Comparison of simple potential functions for simulating liquid water, J Chem Phys, 79, 926, 10.1063/1.445869 · DOI
  37. Durell, 1994, Solvent-induced forces between two hydrophilic groups, J Phys Chem, 98, 2198, 10.1021/j100059a038 · DOI
  38. Abraham, 2015, Gromacs: high performance molecular simulations through multi-level parallelism from laptops to supercomputers, SoftwareX, 1–2, 19, 10.1016/j.softx.2015.06.001 · DOI · Paper page
  39. Melo, 2020, Generalized correlation-based dynamical network analysis: a new high-performance approach for identifying allosteric communications in molecular dynamics trajectories, J Chem Phys, 153, 134104, 10.1063/5.0018980 · DOI
  40. Jurcik, 2018, CAVER analyst 2.0: analysis and visualization of channels and tunnels in protein structures and molecular dynamics trajectories, Bioinformatics, 34, 3586, 10.1093/bioinformatics/bty386 · DOI
  41. Barducci, 2008, Well-tempered metadynamics: a smoothly converging and tunable free-energy method, Phys Rev Lett, 100, 020603, 10.1103/PhysRevLett.100.020603 · DOI · Paper page
  42. Raiteri, 2006, Efficient reconstruction of complex free energy landscapes by multiple walkers metadynamics, J Phys Chem B., 110, 3533, 10.1021/jp054359r · DOI
  43. Zdebik, 2008, Determinants of anion-proton coupling in mammalian endosomal CLC proteins, J Biol Chem., 283, 4219, 10.1074/jbc.M708368200 · DOI
  44. Gelpí, 2001, Classical molecular interaction potentials: improved setup procedure in molecular dynamics simulations of proteins, Proteins, 45, 428, 10.1002/prot.1159 · DOI
  45. Tiwary, 2015, A time-independent free energy estimator for metadynamics, J Phys Chem B., 119, 736, 10.1021/jp504920s · DOI
  46. Jansen, 2024, Phbuilder: a tool for efficiently setting up constant pH molecular dynamics simulations in GROMACS, J Chem Inf Model, 64, 567, 10.1021/acs.jcim.3c01313 · DOI
  47. Aho, 2022, Scalable constant pH molecular dynamics in GROMACS, J Chem Theory Comput, 18, 6148, 10.1021/acs.jctc.2c00516 · DOI
  48. Phillips, 2005, Scalable molecular dynamics with NAMD, J Comput Chem., 26, 1781, 10.1002/jcc.20289 · DOI · Paper page
  49. Phillips, 2020, Scalable molecular dynamics on CPU and GPU architectures with NAMD, J Chem Phys., 153, 044130, 10.1063/5.0014475 · DOI
  50. Ribeiro, 2016, QwikMD—integrative molecular dynamics toolkit for novices and experts, Sci Rep, 6, 26536, 10.1038/srep26536 · DOI
  51. Řezáč, 2012, Advanced corrections of hydrogen bonding and dispersion for semiempirical quantum mechanical methods, J Chem Theory Comput, 8, 141, 10.1021/ct200751e · DOI
  52. Fiorin, 2024, Expanded functionality and portability for the colvars library, J Phys Chem B, 128, 11108, 10.1021/acs.jpcb.4c05604 · DOI
  53. Le Guilloux, 2009, Fpocket: an open source platform for ligand pocket detection, BMC Bioinformatics, 10, 168, 10.1186/1471-2105-10-168 · DOI
  54. Schmidtke, 2011, MDpocket: open-source cavity detection and characterization on molecular dynamics trajectories, Bioinformatics, 27, 3276, 10.1093/bioinformatics/btr550 · DOI
  55. De Stefano, 2011, Extracellular determinants of anion discrimination of the Cl−/H+ antiporter protein CLC-5, J Biol Chem., 286, 44134, 10.1074/jbc.M111.272815 · DOI
  56. Kaila, 2011, Energetics and dynamics of proton transfer reactions along short water wires, Phys Chem Chem Phys., 13, 13207, 10.1039/c1cp21112a · DOI
  57. Li, 2021, A quantitative paradigm for water-assisted proton transport through proteins and other confined spaces, Proc Natl Acad Sci U S A., 118, e2113141118, 10.1073/pnas.2113141118 · DOI
  58. Lee, 2016, Multiscale simulations reveal key aspects of the proton transport mechanism in the ClC-ec1 antiporter, Biophys J, 110, 1334, 10.1016/j.bpj.2016.02.014 · DOI

Metadata

Authors
Macaluso, V., Pérez, C., Soliva, R., Westermaier, Y., Díaz, L., Wieczór, M., & Orozco, M.
Affiliations
  • Institute for Research in Biomedicine (ES)
  • Nostrum Biodiscovery , Av. de Josep Tarradellas 8-10, 08029 Barcelona ,
  • Gdańsk University of Technology (PL)
Corresponding author
Orozco, Modesto
Venue
PNAS Nexus
Published
2025-10-31
Volume
4
Issue
11
Pages
pgaf353-pgaf353
ISSN
2752-6542 (ISSN-L)
OpenAlex
W4415862285
Cited by
1
References
1
Citations by year
2026: 1
FWCI
0.30
Type
journal article
Language
en
Open access
Locations
  • PNAS Nexus (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by)
Funders
  • ASDENT Foundation
  • Spanish Ministry of Science, Innovation and Universities (PID2021-122478NB-I00, PCI2022-134976-2)
  • Torres Quevedo Program (PTQ2018-009992, PTQ2018-009991)
  • H2020 European Commission's Center of Excellence for HPC “BioExcel-2
  • Centre of Excellence for Computational Biomolecular Research (823830)
  • European Regional Development Fund
  • ERFD Operative Programme for Catalonia
  • Catalan Government AGAUR (SGR2017-134)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion Transport and Channel Regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Keywords
ClC-5, Dent's disease, ion transport mechanism, rare genetic disorders, personalized medicine, molecular simulation, chloride homeostasis

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