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Enregistrement W4387173793 · doi:10.1097/xce.0000000000000293

Success story of GLP-1 agonist (Liraglutide) treatment in someone with type 1 diabetes: a life transformed

2023· article· en· W4387173793 sur OpenAlexaff
Adrian Heald, John Warner‐Levy, Lleyton Belston, Hellena Habete-Asres, Linda Horne, Ann Metters, Martin Whyte, Martin Gibson

Notice bibliographique

RevueCardiovascular Endocrinology & Metabolism · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueDiabetes Treatment and Management
Établissements canadiensHealth Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésLiraglutideGastric emptyingEndocrinologyInternal medicineAgonistGlucagon-like peptide-1IncretinMedicineInsulinType 2 diabetesGlucagon-like peptide 1 receptorGlucagonDiabetes mellitusReceptorStomach

Résumé

récupéré en direct d'OpenAlex

Background Glucagon-like peptide-1 (GLP-1) agonists are now widely used for the treatment of type 2 diabetes (T2D) [1]. To date, several reports have described improvements in glucose control with the addition of a GLP-1 agonist to the insulin regime in the treatment of type 1 diabetes (T1D) [2]. Although this remains an off-licence use of the medication, these reports do indicate potential benefits in relation to this glucose control. GLP-1 belongs to the group of incretin peptides, and it stimulates insulin and inhibits glucagon secretion. Actions of GLP-1 also include delaying gastric emptying, reduction of appetite and induction of satiety. Furthermore, evidence mainly collected from animal models has indicated the role of GLP-1 in increasing beta cell proliferation and differentiation and in decreasing the rate of beta cell apoptosis [3]. From a physiological perspective, there is credence to the notion that a GLP-1 agonist will lower glucose levels in people with T1D as they do in T2D. GLP-1 is an endogenous hormone that regulates the secretion of both insulin and glucagon in response to meals, but GLP-1 agonists also slow gastric emptying through effects on the autonomic nervous system and act centrally to increase satiety [4]. Although it has been reported that, in the short term, Liraglutide (a GLP-1 agonist) reduces average blood glucose when added to continuous subcutaneous insulin therapy [5], evidence for the use of GLP-1 agonists in T1D is limited and varies based on the agent [6]. Liraglutide is the most widely studied GLP-1 agonist in adults with T1D, as an add-on therapy to insulin [2]. Despite the limited number of patients and varying study durations in the clinical trials, results are relatively consistent across studies [2], with an average 5 mmol/mol (0.5%) glycated haemoglobin (HbA1c) lowering when liraglutide was added on to insulin therapy. However, this is not a unanimous finding, with one study reporting that the addition of Liraglutide to normal-weight patients with T1D inadequately controlled on insulin produces no effect on HbA1C [7]. Reports that the addition of Liraglutide therapy can induce weight loss exist, likely due to the subjective increase in satiety reported by many patients, with a subsequent reduction in total calorie intake [8]. In support of the role of the GLP-1 agonist in this context, Exenatide, the first of the GLP-1 agonists to be licensed, has safety and efficacy data for up to 18 months in T1D, the longest of any GLP-1 agonist [2]. It has been reported that the addition of Exenatide to insulin therapy leads to a lowered total daily dose of insulin of up to 24 units/day [9]. Although the use of GLP-1 agonists is showing promise for lowering HbA1C in patients with T1D inadequately controlled by insulin, caution must be taken. Increased rates of symptomatic hypoglycaemia and hyperglycaemia with ketosis have been reported, which may provide issues with the use of Liraglutide in addition to insulin in clinical practice [10,11]. As a result, careful insulin titration with close supervision is recommended in patients receiving combined therapy with insulin and Liraglutide [11]. Here, we report how the addition of Liraglutide to a basal-bolus regime resulted in a positive change in glucose profile as evidenced by FreeStyle Libre glucose monitoring. We have received permission from our patient regarding publication. Report First diagnosed with T1D following hospital admission with diabetic ketoacidosis, our patient has experienced challenges with their management and medication concordance in recent years despite being maintained on a basal-bolus insulin regime, with HbA1c recordings consistently above 75 mmol/mol. Monitored every 6 months, his albumin/creatinine ratio has been elevated at 8.7 mg/mmol. He works long hours in his own business and recently developed a limb-threatening foot ulcer, which has now healed. With the addition of Liraglutide to the basal-bolus regime, by 8 weeks there was a frameshift in glucose profile as evidenced by FreeStyle glucose monitoring. This was not associated with any change in blood pressure readings. The time spent in the range of glucose (3.9–10.0 mmol/L) increased from 38 to 80% with the percentage in the range >10.0 mmol/L decreasing from 57 to 20%. Also, the variability decreased from 40.1 to 32.4%% and estimated HbA1c from 69.9 mmol/mol to 51.9 mmol/mol (Figs. 1 and 2).Fig. 1: (a and b) Provide a visual comparison of glucose monitoring data between the two time periods for our patient, allowing for a greater appreciation of the improvement in time spent within the target glucose range in the second monitoring period (Liraglutide and insulin combination therapy).Fig. 2: Plots glucose monitoring data for the second monitoring period on a scatter graph, providing a moving average of blood glucose levels, whilst also demonstrating the overwhelming majority of time spent by our patient with a blood glucose level within the target range.The change in glucose levels was associated with a self-reported enhancement of the sense of control of the T1D day to day. In his words, ‘I feel in control of my diabetes for the first time in 20 years – this has transformed my life. I am back to my old self again’. We accept that a limitation of our report is that we did not include any measures of glucose handling at a tissue level or insulin sensitivity, as the initiation was part of usual care. However, we hope that our case study can inform more research in this clinically relevant area. In conclusion, it is well documented that risk factor optimization in people with T1D is integral to improved length of life and reduced complication rate [12]. We here report a ‘good news story’ of the benefits of GLP-1 agonist treatment in T1D in relation both to quantitative glucose profile and the individual’s sense of agency in their self-management going forward. We hope that this will assist clinicians as they make decisions in relation to complex T1D management. Acknowledgements Conflicts of interest There are no conflicts of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,646
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,248
Écart entre enseignants0,230 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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