Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Nov 27;16(12):1653.
doi: 10.3390/ph16121653.

MD Simulations to Calculate NMR Relaxation Parameters of Vanadium(IV) Complexes: A Promising Diagnostic Tool for Cancer and Alzheimer's Disease

Affiliations

MD Simulations to Calculate NMR Relaxation Parameters of Vanadium(IV) Complexes: A Promising Diagnostic Tool for Cancer and Alzheimer's Disease

Rodrigo Mancini Santos et al. Pharmaceuticals (Basel). .

Abstract

Early phase diagnosis of human diseases has still been a challenge in the medicinal field, and one of the efficient non-invasive techniques that is vastly used for this purpose is magnetic resonance imaging (MRI). MRI is able to detect a wide range of diseases and conditions, including nervous system disorders and cancer, and uses the principles of NMR relaxation to generate detailed internal images of the body. For such investigation, different metal complexes have been studied as potential MRI contrast agents. With this in mind, this work aims to investigate two systems containing the vanadium complexes [VO(metf)2]·H2O (VC1) and [VO(bpy)2Cl]+ (VC2), being metformin and bipyridine ligands of the respective complexes, with the biological targets AMPK and ULK1. These biomolecules are involved in the progression of Alzheimer's disease and triple-negative breast cancer, respectively, and may act as promising spectroscopic probes for detection of these diseases. To initially evaluate the behavior of the studied ligands within the aforementioned protein active sites and aqueous environment, four classical molecular dynamics (MD) simulations including VC1 + H2O (1), VC2 + H2O (2), VC1 + AMPK + H2O (3), and VC2 + ULK1 + H2O (4) were performed. From this, it was obtained that for both systems containing VCs and water only, the theoretical calculations implied a higher efficiency when compared with DOTAREM, a famous commercially available contrast agent for MRI. This result is maintained when evaluating the system containing VC1 + AMPK + H2O. Nevertheless, for the system VC2 + ULK1 + H2O, there was observed a decrease in the vanadium complex efficiency due to the presence of a relevant steric hindrance. Despite that, due to the nature of the interaction between VC2 and ULK1, and the nature of its ligands, the study gives an insight that some modifications on VC2 structure might improve its efficiency as an MRI probe.

Keywords: NMR relaxation; OWSCA; computational chemistry; molecular dynamics; vanadium complexes.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Representation of the measured V⋯1H distances. The central gray sphere represents the vanadium atom, and the blue sphere represents the 1H proton of the closest water molecule, being both connected by a black dashed line, representing the measured distance.
Figure 2
Figure 2
RMSD analyses of each system under investigation. The results are as follows: VC1 in the presence of WAT (depicted in blue), VC1 in the presence of AMPK and WAT (depicted in orange), VC2 in WAT (depicted in yellow), and VC2 in the presence of ULK1 and WAT molecules (depicted in purple).
Figure 3
Figure 3
OWSCA conformational selection for (a) VC1 + WAT, (b) VC2 + WAT, (c) VC1 + AMPK + WAT, and (d) VC2 + ULK1 + WAT.
Figure 4
Figure 4
Structures of the V(IV) complexes in study, where the red region denotes the double bond between V and O.
Figure 5
Figure 5
Interaction between vanadium complexes and their respective proteins of the system.
Figure 6
Figure 6
Chemical structures of (a) VC1: [VO(metf)2]·H2O and (b) VC2: [VO(bpy)2Cl]+.
Figure 7
Figure 7
Flowchart of the steps followed for the estimation of T1 and T2 from MD simulation data.

Similar articles

References

    1. National Cancer Institute Cancer Statistics Page. [(accessed on 21 November 2023)]; Available online: https://seer.cancer.gov/statfacts/html.
    1. Association A. 2023 Alzheimer’s disease facts and figures. Alzheimer’s Dement. 2023;19:1598–1695. doi: 10.1002/alz.13016. - DOI - PubMed
    1. Zabłocka A., Kazana W., Sochocka M., Stańczykiewicz B., Janusz M., Leszek J., Orzechowska B. Inverse Correlation between Alzheimer’s Disease and Cancer: Short Overview. Mol. Neurobiol. 2021;58:6335–6349. doi: 10.1007/s12035-021-02544-1. - DOI - PMC - PubMed
    1. Fowler M.E., Wright N.C., Triebel K., Rocque G.B., Irvin M.R., Kennedy R.E. The Relationship between Prior Cancer Diagnosis and All-Cause Dementia Progression among US Adults. J. Alzheimer’s Dis. 2022;88:521–535. doi: 10.3233/JAD-220054. - DOI - PMC - PubMed
    1. Ospina-Romero M., Glymour M.M., Hayes-Larson E., Mayeda E.R., Graff R.E., Brenowitz W.D., Ackley S.F., Witte J.S., Kobayashi L.C. Association Between Alzheimer Disease and Cancer With Evaluation of Study Biases: A Systematic Review and Meta-analysis. JAMA Netw. Open. 2020;3:e2025515. doi: 10.1001/jamanetworkopen.2020.25515. - DOI - PMC - PubMed

LinkOut - more resources