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Combination of Docking-Based and Pharmacophore-Based Virtual Screening Identifies Novel Agonists That Target the Urotensin Receptor. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27248692. [PMID: 36557826 PMCID: PMC9788431 DOI: 10.3390/molecules27248692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/01/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
The urotensin receptor (UT receptor), a G-protein-coupled receptor mediating urotensin-II and urotensin-II-related peptide signaling in the urotensinergic system, has multiple pharmacological activities. However, there is no drug targeting the UT receptor currently in clinical use, and the discovery of new leads is still important. The complete crystal structure of the UT receptor has not yet been resolved and a screening strategy combining multiple methods can improve the accuracy and efficiency of drug screening. This study aimed to identify novel UT receptor agonists using a combination of docking-based, pharmacophore-based, and cell-based drug screening. First, the three-dimensional structures of the UT receptor were constructed through single-template, multi-template homologous modeling and threading strategies. After structure evaluation and ligand enrichment analysis, a model from the threading modeling was selected for docking-based virtual screening based on stepwise filtering, and 1368 positive compounds were obtained from our compound library. Second, the pharmacophore models were constructed using known ligands targeting the UT receptor for pharmacophore-based virtual screening. A model was selected after model validation, and 300 positive compounds were retrieved. Then, after intersecting the results of two different virtual screening methods with 570 compound entities from our primary screening, 14 compounds were obtained. Finally, three hits were obtained after in vitro confirmation. Furthermore, preliminary evaluation of the hits showed that they influenced glucose consumption. In summary, by integrating docking-based, pharmacophore-based, and in vitro drug screening, three new agonists targeting the UT receptor were identified which may serve as promising therapeutic agents for urotensinergic system disorders.
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Almutlaq M, Alamro AA, Alamri HS, Alghamdi AA, Barhoumi T. The Effect of Local Renin Angiotensin System in the Common Types of Cancer. Front Endocrinol (Lausanne) 2021; 12:736361. [PMID: 34539580 PMCID: PMC8446618 DOI: 10.3389/fendo.2021.736361] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 08/13/2021] [Indexed: 12/12/2022] Open
Abstract
The Renin Angiotensin System (RAS) is a hormonal system that is responsible for blood pressure hemostasis and electrolyte balance. It is implicated in cancer hallmarks because it is expressed locally in almost all of the body's tissues. In this review, current knowledge on the effect of local RAS in the common types of cancer such as breast, lung, liver, prostate and skin cancer is summarised. The mechanisms by which RAS components could increase or decrease cancer activity are also discussed. In addition to the former, this review explores how the administration of AT1R blockers and ACE inhibitors drugs intervene with cancer therapy and contribute to the outcomes of cancer.
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Affiliation(s)
- Moudhi Almutlaq
- King Abdullah International Medical Research Centre, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Biochemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia
- *Correspondence: Moudhi Almutlaq, ; Tlili Barhoumi,
| | - Abir Abdullah Alamro
- Biochemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Hassan S. Alamri
- King Abdullah International Medical Research Centre, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Medical Research Core Facility and Platforms, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Amani Ahmed Alghamdi
- Biochemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Tlili Barhoumi
- King Abdullah International Medical Research Centre, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Medical Research Core Facility and Platforms, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- *Correspondence: Moudhi Almutlaq, ; Tlili Barhoumi,
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Poret B, Desrues L, Bonin MA, Pedard M, Dubois M, Leduc R, Modzelewski R, Decazes P, Morin F, Vera P, Castel H, Bohn P, Gandolfo P. Development of Novel 111-In-Labelled DOTA Urotensin II Analogues for Targeting the UT Receptor Overexpressed in Solid Tumours. Biomolecules 2020; 10:E471. [PMID: 32204509 PMCID: PMC7175314 DOI: 10.3390/biom10030471] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 03/17/2020] [Accepted: 03/18/2020] [Indexed: 12/11/2022] Open
Abstract
Overexpression of G protein-coupled receptors (GPCRs) in tumours is widely used to develop GPCR-targeting radioligands for solid tumour imaging in the context of diagnosis and even treatment. The human vasoactive neuropeptide urotensin II (hUII), which shares structural analogies with somatostatin, interacts with a single high affinity GPCR named UT. High expression of UT has been reported in several types of human solid tumours from lung, gut, prostate, or breast, suggesting that UT is a valuable novel target to design radiolabelled hUII analogues for cancer diagnosis. In this study, two original urotensinergic analogues were first conjugated to a DOTA chelator via an aminohexanoic acid (Ahx) hydrocarbon linker and then -hUII and DOTA-urantide, complexed to the radioactive metal indium isotope to successfully lead to radiolabelled DOTA-Ahx-hUII and DOTA-Ahx-urantide. The 111In-DOTA-hUII in human plasma revealed that only 30% of the radioligand was degraded after a 3-h period. DOTA-hUII and DOTA-urantide exhibited similar binding affinities as native peptides and relayed calcium mobilization in HEK293 cells expressing recombinant human UT. DOTA-hUII, not DOTA-urantide, was able to promote UT internalization in UT-expressing HEK293 cells, thus indicating that radiolabelled 111In-DOTA-hUII would allow sufficient retention of radioactivity within tumour cells or radiolabelled DOTA-urantide may lead to a persistent binding on UT at the plasma membrane. The potential of these radioligands as candidates to target UT was investigated in adenocarcinoma. We showed that hUII stimulated the migration and proliferation of both human lung A549 and colorectal DLD-1 adenocarcinoma cell lines endogenously expressing UT. In vivo intravenous injection of 111In-DOTA-hUII in C57BL/6 mice revealed modest organ signals, with important retention in kidney. 111In-DOTA-hUII or 111In-DOTA-urantide were also injected in nude mice bearing heterotopic xenografts of lung A549 cells or colorectal DLD-1 cells both expressing UT. The observed significant renal uptake and low tumour/muscle ratio (around 2.5) suggest fast tracer clearance from the organism. Together, DOTA-hUII and DOTA-urantide were successfully radiolabelled with 111Indium, the first one functioning as a UT agonist and the second one as a UT-biased ligand/antagonist. To allow tumour-specific targeting and prolong body distribution in preclinical models bearing some solid tumours, these radiolabelled urotensinergic analogues should be optimized for being used as potential molecular tools for diagnosis imaging or even treatment tools.
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Affiliation(s)
- Benjamin Poret
- Institute for Research and Innovation in Biomedicine (IRIB), University of Rouen Normandy, INSERM U1239, DC2N, 76000 Rouen, France; (B.P.); (L.D.); (M.P.); (M.D.); (F.M.); (P.G.)
- EA 4108, Laboratory of Computer Science, Information Processing and Systems (LITIS), team “QuantIF”, Centre Henri Becquerel, 76000 Rouen, France; (R.M.); (P.D.); (P.V.); (P.B.)
- Department of Physiology & Pharmacology, Institute of Sherbrooke, Faculty of Medicine and Health Sciences, Sherbrooke University, Sherbrooke, QC J1H 5N4, Canada; (M.-A.B.); (R.L.)
| | - Laurence Desrues
- Institute for Research and Innovation in Biomedicine (IRIB), University of Rouen Normandy, INSERM U1239, DC2N, 76000 Rouen, France; (B.P.); (L.D.); (M.P.); (M.D.); (F.M.); (P.G.)
- EA 4108, Laboratory of Computer Science, Information Processing and Systems (LITIS), team “QuantIF”, Centre Henri Becquerel, 76000 Rouen, France; (R.M.); (P.D.); (P.V.); (P.B.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Marc-André Bonin
- Department of Physiology & Pharmacology, Institute of Sherbrooke, Faculty of Medicine and Health Sciences, Sherbrooke University, Sherbrooke, QC J1H 5N4, Canada; (M.-A.B.); (R.L.)
| | - Martin Pedard
- Institute for Research and Innovation in Biomedicine (IRIB), University of Rouen Normandy, INSERM U1239, DC2N, 76000 Rouen, France; (B.P.); (L.D.); (M.P.); (M.D.); (F.M.); (P.G.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Martine Dubois
- Institute for Research and Innovation in Biomedicine (IRIB), University of Rouen Normandy, INSERM U1239, DC2N, 76000 Rouen, France; (B.P.); (L.D.); (M.P.); (M.D.); (F.M.); (P.G.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Richard Leduc
- Department of Physiology & Pharmacology, Institute of Sherbrooke, Faculty of Medicine and Health Sciences, Sherbrooke University, Sherbrooke, QC J1H 5N4, Canada; (M.-A.B.); (R.L.)
| | - Romain Modzelewski
- EA 4108, Laboratory of Computer Science, Information Processing and Systems (LITIS), team “QuantIF”, Centre Henri Becquerel, 76000 Rouen, France; (R.M.); (P.D.); (P.V.); (P.B.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Pierre Decazes
- EA 4108, Laboratory of Computer Science, Information Processing and Systems (LITIS), team “QuantIF”, Centre Henri Becquerel, 76000 Rouen, France; (R.M.); (P.D.); (P.V.); (P.B.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Fabrice Morin
- Institute for Research and Innovation in Biomedicine (IRIB), University of Rouen Normandy, INSERM U1239, DC2N, 76000 Rouen, France; (B.P.); (L.D.); (M.P.); (M.D.); (F.M.); (P.G.)
- EA 4108, Laboratory of Computer Science, Information Processing and Systems (LITIS), team “QuantIF”, Centre Henri Becquerel, 76000 Rouen, France; (R.M.); (P.D.); (P.V.); (P.B.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Pierre Vera
- EA 4108, Laboratory of Computer Science, Information Processing and Systems (LITIS), team “QuantIF”, Centre Henri Becquerel, 76000 Rouen, France; (R.M.); (P.D.); (P.V.); (P.B.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Hélène Castel
- Institute for Research and Innovation in Biomedicine (IRIB), University of Rouen Normandy, INSERM U1239, DC2N, 76000 Rouen, France; (B.P.); (L.D.); (M.P.); (M.D.); (F.M.); (P.G.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Pierre Bohn
- EA 4108, Laboratory of Computer Science, Information Processing and Systems (LITIS), team “QuantIF”, Centre Henri Becquerel, 76000 Rouen, France; (R.M.); (P.D.); (P.V.); (P.B.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
| | - Pierrick Gandolfo
- Institute for Research and Innovation in Biomedicine (IRIB), University of Rouen Normandy, INSERM U1239, DC2N, 76000 Rouen, France; (B.P.); (L.D.); (M.P.); (M.D.); (F.M.); (P.G.)
- Institute for Research and Innovation in Biomedicine (IRIB), 76000 Rouen, France
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Giulianelli R, Nardoni S, Bruzzese D, Falavolti C, Mirabile G, Bellangino M, Tema G, Gentile BC, Albanesi L, Buscarini M, Tariciotti P, Lombardo R. Urotensin II receptor expression in prostate cancer patients: A new possible marker. Prostate 2019; 79:288-294. [PMID: 30411388 DOI: 10.1002/pros.23734] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 10/09/2018] [Indexed: 01/06/2023]
Abstract
BACKGROUND Urotensin II receptor has been poorly studied in prostate cancer. To evaluate the expression of urotensin II receptor (UII-R) in patients undergoing radical prostatectomy. METHODS Overall, we identified 140 patients treated with retropubic radical prostatectomy (RP) in one center. UII-R was evaluated in prostate biopsies with immunohistochemical staining, resulting in a granular cytoplasmic positivity, through automated system using the kit Urotensin II Receptor Detection System provided by Pharmabullet srl. Immunostained slides were independently and blindly evaluated by ten uro-pathologists. To evaluate UTII-R expression three different parameters were considered: localization, granules dimensions and intensity of expression. A score from 0 to 3 was applied to each parameter to obtain a score from 0 to 9. Each parameter and the total score were evaluated as predictors of high grade disease on surgical pathology and of advanced stage disease. Accuracy of total score for the prediction of upgrading and upstaging was analyzed using receiver operator characteristics curve and decision curve analysis (DCA). RESULTS On radical prostatectomy 92/140 (66%) presented high grade disease on surgical pathology. Patients with high grade disease presented an apical distribution of the receptor, larger granules and a more intense expression when compared to patients with low grade disease. A well they presented a higher total score. Subscores and total scores were found to be predictors of upgrading and upstaging. On ROC analysis total score presented an AUC of 0.72 and 0.70, respectively, for the prediction of upgrading and upstaging. On DCA total score showed a clinical benefit in the prediction of adverse pathological outcomes. CONCLUSION Urotensin II receptor is a potential marker of adverse pathological outcomes. Further studies should confirm our data and evaluate its role as a prognostic marker.
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