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Kerckhove N, Delage N, Cambier S, Cantagrel N, Serra E, Marcaillou F, Maindet C, Picard P, Martiné G, Deleens R, Trouvin AP, Fourel L, Espagne-Dubreuilh G, Douay L, Foulon S, Dufraisse B, Gov C, Viel E, Jedryka F, Pouplin S, Lestrade C, Combe E, Perrot S, Perocheau D, De Brisson V, Vergne-Salle P, Mertens P, Pereira B, Djiberou Mahamadou AJ, Antoine V, Corteval A, Eschalier A, Dualé C, Attal N, Authier N. eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility Study. JMIR Form Res 2022; 6:e30052. [PMID: 35234654 PMCID: PMC8928045 DOI: 10.2196/30052] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/14/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Chronic pain affects approximately 30% of the general population, severely degrades quality of life (especially in older adults) and professional life (inability or reduction in the ability to work and loss of employment), and leads to billions in additional health care costs. Moreover, available painkillers are old, with limited efficacy and can cause significant adverse effects. Thus, there is a need for innovation in the management of chronic pain. Better characterization of patients could help to identify the predictors of successful treatments, and thus, guide physicians in the initial choice of treatment and in the follow-up of their patients. Nevertheless, current assessments of patients with chronic pain provide only fragmentary data on painful daily experiences. Real-life monitoring of subjective and objective markers of chronic pain using mobile health (mHealth) programs can address this issue. OBJECTIVE We hypothesized that regular patient self-monitoring using an mHealth app would lead physicians to obtain deeper understanding and new insight into patients with chronic pain and that, for patients, regular self-monitoring using an mHealth app would play a positive therapeutic role and improve adherence to treatment. We aimed to evaluate the feasibility and acceptability of a new mHealth app called eDOL. METHODS We conducted an observational study to assess the feasibility and acceptability of the eDOL tool. Patients completed several questionnaires using the tool over a period of 2 weeks and repeated assessments weekly over a period of 3 months. Physicians saw their patients at a follow-up visit that took place at least 3 months after the inclusion visit. A composite criterion of the acceptability and feasibility of the eDOL tool was calculated after the completion of study using satisfaction surveys from both patients and physicians. RESULTS Data from 105 patients (of 133 who were included) were analyzed. The rate of adherence was 61.9% (65/105) after 3 months. The median acceptability score was 7 (out of 10) for both patients and physicians. There was a high rate of completion of the baseline questionnaires and assessments (mean 89.3%), and a low rate of completion of the follow-up questionnaires and assessments (63.8% (67/105) and 61.9% (65/105) respectively). We were also able to characterize subgroups of patients and determine a profile of those who adhered to eDOL. We obtained 4 clusters that differ from each other in their biopsychosocial characteristics. Cluster 4 corresponds to patients with more disabling chronic pain (daily impact and comorbidities) and vice versa for cluster 1. CONCLUSIONS This work demonstrates that eDOL is highly feasible and acceptable for both patients with chronic pain and their physicians. It also shows that such a tool can integrate many parameters to ensure the detailed characterization of patients for future research works and pain management. TRIAL REGISTRATION ClinicalTrial.gov NCT03931694; http://clinicaltrials.gov/ct2/show/NCT03931694.
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Affiliation(s)
- Nicolas Kerckhove
- Service de Pharmacologie médicale, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
| | - Noémie Delage
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
| | - Sébastien Cambier
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
| | - Nathalie Cantagrel
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Eric Serra
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire d'Amiens, Amiens, France
| | - Fabienne Marcaillou
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
| | - Caroline Maindet
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Grenoble, Grenoble, France
| | - Pascale Picard
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
| | - Gaelle Martiné
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Limoges, Limoges, France
| | - Rodrigue Deleens
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Rouen, Rouen, France
| | - Anne-Priscille Trouvin
- Centre d'évaluation et de traitement de la douleur, Assistance Publique-Hôpitaux de Paris Cochin, Paris, France
| | - Lauriane Fourel
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Régional de Bayeux, Bayeux, France
| | - Gaelle Espagne-Dubreuilh
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Limoges, Limoges, France
| | - Ludovic Douay
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire d'Amiens, Amiens, France
| | - Stéphane Foulon
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire d'Amiens, Amiens, France
| | - Bénédicte Dufraisse
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Limoges, Limoges, France
| | - Christian Gov
- Centre d'évaluation et de traitement de la douleur, Hospices Civils de Lyon Pierre Wertheimer, Lyon, France
| | - Eric Viel
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Nîmes, Nîmes, France
| | - François Jedryka
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Nîmes, Nîmes, France
| | - Sophie Pouplin
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Rouen, Rouen, France
| | - Cécile Lestrade
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Emmanuel Combe
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Serge Perrot
- Centre d'évaluation et de traitement de la douleur, Assistance Publique-Hôpitaux de Paris Cochin, Paris, France
| | - Dominique Perocheau
- Centre d'évaluation et de traitement de la douleur, Assistance Publique-Hôpitaux de Paris Cochin, Paris, France
| | - Valentine De Brisson
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Régional de Bayeux, Bayeux, France
| | - Pascale Vergne-Salle
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Limoges, Limoges, France
| | - Patrick Mertens
- Centre d'évaluation et de traitement de la douleur, Hospices Civils de Lyon Pierre Wertheimer, Lyon, France
| | - Bruno Pereira
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
| | | | - Violaine Antoine
- Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes, Université Clermont Auvergne, Aubière, France
| | | | | | - Christian Dualé
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
| | - Nadine Attal
- Institut National de la Santé et de la Recherche Médicale, Unité 987 - Centre d'évaluation et de traitement de la douleur, Assistance Publique-Hôpitaux de Paris Ambroise Paré, Paris, France
| | - Nicolas Authier
- Centre d'évaluation et de traitement de la douleur, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
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Abstract
Recombinant DNA technology has now made it possible to produce proteins for pharmaceutical applications. Consequently, proteins produced via biotechnology now comprise a significant portion of the drugs currently under development. Isolation, purification, formulation, and delivery of proteins represent significant challenges to pharmaceutical scientists, as proteins possess unique chemical and physical properties. These properties pose difficult stability problems. A summary of both chemical and physical decomposition pathways for proteins is given. Chemical instability can include proteolysis, deamidation, oxidation, racemization, and beta-elimination. Physical instability refers to processes such as aggregation, precipitation, denaturation, and adsorption to surfaces. Current methodology to stabilize proteins is presented, including additives, excipients, chemical modification, and the use of site-directed mutagenesis to produce a more stable protein species.
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Affiliation(s)
- M C Manning
- Department of Pharmaceutical Chemistry, University of Kansas, Lawrence 66045
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Venkatesh YP, Vithayathil PJ. Influence of deamidation(s) in the 67-74 region of ribonuclease on its refolding. INTERNATIONAL JOURNAL OF PEPTIDE AND PROTEIN RESEARCH 1985; 25:27-32. [PMID: 3980147 DOI: 10.1111/j.1399-3011.1985.tb02143.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The influence of chemical mutation featuring the selective conversion of asparagine or glutamine to aspartic or glutamic acid, respectively, on the kinetics of refolding of reduced RNase has been studied. The monodeamidated derivatives of RNase A, viz. RNase Aa1a, Aa1b, and Aa1c having their deamidations in the region 67-74, were found to regain nearly their original enzymatic activity. However, a marked difference in the kinetics of refolding is seen, the order of regain of enzymic activity being RNase A greater than Aa1c congruent to Aa1a greater than Aa1b. The similarities in the distinct elution positions on Amberlite XE-64, gel electrophoretic mobilities, and u.v. spectra of reoxidized and native derivatives indicated that the native structures are formed. The slower rate of reappearance of enzymic activity in the case of the monodeamidated derivatives appears to result from altered interactions in the early stages of refolding. The roles of some amino acid residues of the 67-74 region in the pathway of refolding of RNase A are discussed.
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7
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Venkatesh YP, Vithayathil PJ. Isolation and characterization of monodeamidated derivatives of bovine pancreatic ribonuclease A. INTERNATIONAL JOURNAL OF PEPTIDE AND PROTEIN RESEARCH 1984; 23:494-505. [PMID: 6429073 DOI: 10.1111/j.1399-3011.1984.tb02750.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The isolation and characterization of the initial intermediates formed during the irreversible acid denaturation of enzyme Ribonuclease A are described. The products obtained when RNase A is maintained in 0.5 M HCl at 30 degrees for periods up to 20 h have been analyzed by ion-exchange chromatography on Amberlite XE-64. Four distinct components were found to elute earlier to RNase A; these have been designated RNase Aa2, Aa1c, Aa1b, and Aa1a in order of their elution. With the exception of RNase Aa2, the other components are nearly as active as RNase A. Polyacrylamide gel electrophoresis at near-neutral pH indicated that RNase Aa1a, Aa1b, and Aa1c are monodeamidated derivatives of RNase A; RNase Aa1c contains, in addition, a small amount of a dideamidated component. RNase Aa2, which has 75% enzymic activity as compared to RNase A, consists of dideamidated and higher deamidated derivatives of RNase A. Except for differences in the proteolytic susceptibilities at an elevated temperature or acidic pH, the monodeamidated derivatives were found to have very nearly the same enzymic activity and the compact folded structure as the native enzyme. Fingerprint analyses of the tryptic peptides of monodeamidated derivatives have shown that the deamidations are restricted to an amide cluster in the region 67-74 of the polypeptide chain. The initial acid-catalyzed deamidation occurs in and around the 65-72 disulfide loop giving rise to at least three distinct monodeamidated derivatives of RNase A without an appreciable change in the catalytic activity and conformation of the ribonuclease molecule. Significance of this specific deamidation occurring in highly acidic conditions, and the biological implications of the physiological deamidation reactions of proteins are discussed.
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Rutherford KD, Button EE, Kull FJ. Porcine thyroid cytosolic, latent, alkaline, ribonuclease: does an acidification step during purification alter the enzyme's properties? COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. B, COMPARATIVE BIOCHEMISTRY 1983; 75:545-52. [PMID: 6884007 DOI: 10.1016/0305-0491(83)90373-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
The effect of an acidic step in the purification of porcine thyroid, latent, alkaline ribonuclease was studied using highly purified acid-treated and non-acid-treated enzymes. The enzymes differed by affinity and CM-cellulose chromatography, specific activity, in distribution among multiple forms, in response to some mono- and divalent salts, in degree of inhibition by p-chloromercuriphenylsulfonate and ribonuclease inhibitor, in activity toward poly (U). The acid-treated enzyme was very heterogeneous as shown by chromatography on affinity and ion-exchange columns and electrophoresis. The enzymes had similar molecular weights, pH optima, ionic strength effects, general specificity and products.
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12
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Ramnath S, Vithayathil PJ. Irreversible thermal denaturation of bovine pancreatic ribonuclease-A. Physico-chemical characterization of initial products. INTERNATIONAL JOURNAL OF PEPTIDE AND PROTEIN RESEARCH 1981; 17:107-17. [PMID: 6262254 DOI: 10.1111/j.1399-3011.1981.tb01973.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The isolation and characterization of the products formed during the irreversible thermal denaturation of enzyme RNAase-A are described. RNAase-A, when maintained in aqueous solution at pH 7.0 and 70 degrees for 2 h, gives soluble products which have been fractionated by gel filtration on Sephadex G-75 into four components. These components are designated RNAase-At1, RNAase-At2, RNAase-At3 and RNAase-At4 according to the order of their elution from Sephadex G-75. RNAase-At4 shows the same specific activity towards yeast RNA as native RNAase-A and is virtually indistinguishable from it by the physical methods employed. However, chromatography on CM-cellulose separates it into three components that show the same u.v. spectra and specific activity towards yeast RNA as native RNAase-A. RNAase-At1, RNAase-At2 and RNAase-At3 are all structurally altered derivatives of RNAase-A and they exhibit low specific activity (5-10%) towards yeast RNA. In the presence of added S-protein, all these derivatives show greatly enhanced enzymic activity. RNAase-At1 and RNAase-At2 are polymers, covalently crosslinked by intermolecular disulfide bridges; whereas RNAase-At3 is a monomer. Physical studies such as 1H-n.m.r., sedimentation analysis, u.v. absorption spectra and CD spectra reveal that RNAase-At3 is a unfolded derivative of RNAase-A. However, it is seen to possess sufficient residual structure which gives rise to a low but easily detectable enzymic activity.
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Manjula BN, Acharya AS, Vithayathil PJ. Subtilisin modification of monodeamidated ribonuclease-A. Biochem J 1977; 165:337-45. [PMID: 921753 PMCID: PMC1164906 DOI: 10.1042/bj1650337] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Limited proteolysis of RNAase-Aa(1) (monodeamidated ribonuclease-A) by subtilisin results in the formation of an active RNAase-S type of derivative, namely RNAase-Aa(1)S. RNAase-Aa(1)S was chromatographically distinct from RNAase-S, but exhibited very nearly the same enzymic activity, antigenic conformation and susceptibility to trypsin as did RNAase-S. Fractionation of RNAase-Aa(1)S by trichloroacetic acid yielded RNAase-Aa(1)S-protein and RNAase-Aa(1)S-peptide, both of which are inactive by themselves, but regenerate active RNAase-Aa(1)S' when mixed together. RNAase-Aa(1)S-peptide was identical with RNAase-S-peptide, whereas the protein part was distinct from that of RNAase-S-protein. Titration of RNAase-Aa(1)S-protein with S-peptide exhibited slight but noticeably weaker binding of the peptide to the deamidated S-protein as compared with that of native protein. Unlike the subtilisin digestion of RNAase-A, which gives nearly 100% conversion into RNAase-S, the digestion of RNAase-Aa(1) gives only a 50% conversion. The resistance of RNAase-Aa(1) to further subtilisin modification after 50% conversion is apparently due to the interaction of RNAase-Aa(1) with its subtilisin-modified product. RNAase-S was also found to undergo activity and structural changes in acidic solutions, similar to those of RNAase-A. The initial reaction product (RNAase-Sa(1)) isolated by chromatography was not homogeneous. Unlike the acid treatment of RNAase-A, which affected only the S-protein part, the acid treatment of RNAase-S affected both the S-protein and the S-peptide region of the molecule.
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