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Real-world evidence of effectiveness and safety of pasireotide in the treatment of acromegaly: a systematic review and meta-analysis.
Biagetti, B, Araujo-Castro, M, Tebe, C, Marazuela, M, Puig-Domingo, M
Reviews in endocrine & metabolic disorders. 2025;(1):97-111
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Abstract
Pasireotide long-acting release (PAS-LAR) is a second-generation somatostatin receptor ligand (SRL) approved for acromegaly treatment. This meta-analysis aimed to evaluate the real-world effectiveness and safety of PAS-LAR in patients with acromegaly resistant to first-generation somatostatin receptor ligands (fgSRL). A systematic literature search was conducted in PubMed and Web of Science for real-world studies on PAS-LAR in acromegaly published between 2014 and 2023. Random-effects meta-analyses were performed on biochemical control rates, tumor shrinkage, and metabolic parameters. Twelve studies comprising 409 patients were included. The pooled rate of insulin-like growth factor 1 (IGF-1) control was 57.9% [95% CI: 48.4-66.8] and the percentage of patients with tumor shrinkage was 33.3% [95%CI: 19.7-50.4]. Significant reductions were observed in growth hormone standardized mean difference (SMD) 0.6 ng/mL [95% CI: 0.3 to 1.0] and IGF-1 levels SMD 0.9 ULN [95% CI: 0.4 to 1.4]. However, as expected, a worsening in glucose metabolism was noted as an increase in fasting glucose SMD - 0.8 mg/dL [95% CI: -1.0 to -0.5, p < 0.01], glycated hemoglobin SMD - 0.5% [95% CI: -0.7 to -0.2]. and type 2 diabetes mellitus prevalence SMD - 11.5% (95% CI: -17.5 to -5.5). PAS-LAR demonstrated higher effectiveness in real-world settings, with over 60% of patients achieving IGF-1 control compared to the around 30% efficacy observed in clinical trials. These findings suggest that PAS-LAR is an effective option for acromegaly patients resistant to fgSRL, but careful monitoring of glucose levels is essential. The high heterogeneity observed across studies emphasizes the need for identifying PAS-LAR response biomarkers to set-up individualized treatment approaches for optimizing patient outcomes.
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Treatment of acromegaly-induced diabetes: an updated proposal.
Biagetti, B, Araujo-Castro, M, Marazuela, M, Puig-Domingo, M
Pituitary. 2024;(1):15
Abstract
Acromegaly-induced diabetes presents unique features due to the direct effects of excess growth hormone (GH) and insulin-like growth factor 1 (IGF-) on glucose metabolism, especially insulin resistance in association to low body fat content and water retention. Increased cardiovascular risk is much higher when acromegaly is complicated with diabetes, thus requiring a holistic management that addresses also these specific characteristics which differ from those of classical type 2 diabetes.The optimal management of diabetes in acromegaly requires not only an effective control of carbohydrate disturbances per se, but also the concurrent control of GH hypersecretion as it will directly impact on glucose control. If surgical treatment is not effective to normalize GH and IGF-1 levels, pharmacologic therapy for acromegaly must consider the metabolic effects that the different drugs may induce, as some of them may worsen carbohydrate metabolism. When treating acromegaly-induced diabetes, a comprehensive approach is essential, incorporating medications that may also protect against acromegaly associated comorbidities. Metformin remains the first-line therapy due to its ability to reduce hepatic glucose production enhance insulin sensitivity and its cost effectiveness. The newer drug classes, such as glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors, offer benefits similar to those seen in type 2 diabetes, but the unique metabolic profile of acromegaly-including an enhanced ketogenic state and the effects of incretins on GH secretion-have to be considered as it may influence outcomes. Understanding the distinct pathophysiology of acromegaly-induced diabetes and the benefits of these newer drug classes for the patient with acromegaly is crucial for optimizing treatment outcomes and improving the quality of life.
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New molecular tools for precision medicine in pituitary neuroendocrine tumors.
Marques-Pamies, M, Gil, J, Valassi, E, Pons, L, Carrato, C, Jordà, M, Puig-Domingo, M
Minerva endocrinology. 2024;(3):300-320
Abstract
Precision, personalized, or individualized medicine in pituitary neuroendocrine tumors (PitNETs) has become a major topic in the last few years. It is based on the use of biomarkers that predictively segregate patients and give answers to clinically relevant questions that help us in the individualization of their management. It allows us to make early diagnosis, predict response to medical treatments, predict surgical outcomes and investigate new targets for therapeutic molecules. So far, substantial progress has been made in this field, although there are still not enough precise tools that can be implemented in clinical practice. One of the main reasons is the excess overlap among clustered patients, with an error probability that is not currently acceptable for clinical practice. This overlap is due to the high heterogeneity of PitNETs, which is too complex to be overcome by the classical biomarker investigation approach. A systems biology approach based on artificial intelligence techniques seems to be able to give answers to each patient individually by building mathematical models through the interaction of multiple factors, including those of omics sciences. Integrated studies of different molecular omics techniques, as well as radiomics and clinical data are necessary to understand the whole system and to finally achieve the key to obtain precise biomarkers and implement personalized medicine. In this review we have focused on describing the current advances in the area of PitNETs based on the omics sciences, that are clearly going to be the new tool for precision medicine.
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Predictors of biochemical response to somatostatin receptor ligands in acromegaly.
Marazuela, M, Martínez-Hernandez, R, Marques-Pamies, M, Biagetti, B, Araujo-Castro, M, Puig-Domingo, M
Best practice & research. Clinical endocrinology & metabolism. 2024;(4):101893
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Abstract
Although predictors of response to first-generation somatostatin receptor ligands (fg-SRLs), and to a lesser extent to pasireotide, have been studied in acromegaly for many years, their use is still not recommended in clinical guidelines. Is there insufficient evidence to use them? Numerous biomarkers including various clinical, functional, radiological and molecular markers have been identified. The first ones are applicable pre-surgery, while the molecular predictors are utilized for patients not cured after surgery. In this regard, factors predicting a good response to fg-SRLs are specifically: low basal GH, a low GH nadir in the acute octreotide test, T2 MRI hypointensity, a densely granulated pattern, high immunohistochemistry staining for somatostatin receptor 2 (SSTR2), and E-cadherin. However, there is still a lack of consensus regarding which of these biomarkers is more useful or how to integrate them into clinical practice. With classical statistical methods, it is complex to define reliable and generalizable cut-off values for a single biomarker. The potential solution to the limitations of traditional methods involves combining systems biology with artificial intelligence, which is currently providing answers to such long-standing questions that may eventually be finally included into the clinical guidelines and make personalized medicine a reality. The aim of this review is to describe the current knowledge of the main fg-SRLs and pasireotide response predictors, discuss their current usefulness, and point to future directions in the research of this field.
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Early nutritional risk detection and intervention in COVID-19 hospitalized patients through the implementation of electronic automatized alarms.
Ramos, A, Joaquin, C, Ros, M, Martin, M, Cachero, M, Sospedra, M, Martínez, E, Socies, G, Pérez-Montes de Oca, A, Sendrós, MJ, et al
Endocrinologia, diabetes y nutricion. 2024;(2):71-76
Abstract
INTRODUCTION Hospitalized COVID-19 patients may present acute malnutrition which could influence morbidity and mortality. In the first wave of the pandemic severe weight loss was observed in many hospitalized patients. This pilot study evaluates the usefulness of an electronic automatized alarm for the early quantification of a low food intake as a predictor of the risk of malnutrition using COVID-19 disease as a model of severe illness. METHODS Observational prospective nutritional screening with a daily automatized warning message to the Endocrinology and Nutrition Service provided by the Information Systems. All adult patients admitted for COVID-19 from November 2020 to February 2021 were included. When diet intake was <50% during consecutive 48h, an automated message was generated identifying the patient as "at nutritional risk (NR)" and additional specialist nutritional evaluation and therapy was performed within the next 24h. RESULTS 205 patients out of 1176 (17.4%) were detected by automatized alarm and were considered as presenting high NR; 100% were concordant by the validated nutritional screening SNAQ. Nutritional support after detection was: 77.6% dietary adaptation+oral supplements; 9.3% enteral nutrition (EN); 1.5% parenteral nutrition (PN); 1% EN+PN and 10.7% no intervention is performed due to an end-of-life situation. Median weight loss during admission was 2.5kg (p25 0.25-p75: 6kg). Global mortality was 6.7% while in those detected by automatized alarm was 31.5%. CONCLUSIONS The implementation of an electronic NR screening tool was feasible and allowed the early nutritional assessment and intervention in COVID-19 hospitalized patients and can be useful in patients hospitalized for other pathologies.
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Prolactin and Growth Hormone Signaling and Interlink Focused on the Mammosomatotroph Paradigm: A Comprehensive Review of the Literature.
Araujo-Castro, M, Marazuela, M, Puig-Domingo, M, Biagetti, B
International journal of molecular sciences. 2023;(18)
Abstract
Prolactin (PRL) and growth hormone (GH) are peptide hormones that bind to the class 1 cytokine receptor superfamily, a highly conserved cell surface class of receptors. Both hormones control their own secretion via a negative autocrine loop in their own mammosomatotroph, lactotroph or somatotroph. In this regard, GH and PRL are regulated by similar signaling pathways involving cell growth and hormone secretion. Thus, GH and PRL dysregulation and pituitary neuroendocrine tumor (PitNET) development may have common pathogenic pathways. Based on cell linage, lactotroph and somatotroph PitNETs come from pituitary-specific POU-class homeodomain transcription factor (Pit-1). Mammosomatotroph and plurihormonal PitNETs are a unique subtype of PitNETs that arise from a single-cell population of Pit-1 lineage. In contrast, mixed somatotroph-lactotroph PitNETs are composed of two distinct cell populations: somatotrophs and lactotrophs. Morphologic features that distinguish indolent PitNETs from locally aggressive ones are still unidentified, and no single prognostic parameter can predict tumor aggressiveness or treatment response. In this review, we aim to explore the latest research on lactotroph and somatotroph PitNETs, the molecular mechanisms involved in PRL and GH axis regulation and the signaling pathways involved in their aggressiveness, particularly focused on mammosomatotroph and mixed subtypes. Finally, we summarize epidemiological, clinical, and radiological features of these exceptional tumors. We aim to shed light, from basic to clinical settings, on new perspectives and scientific gaps in this field.
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Age-Related Hormones Changes and Its Impact on Health Status and Lifespan.
Biagetti, B, Puig-Domingo, M
Aging and disease. 2023;(3):605-620
Abstract
The increase in life expectancy is accompanied with an increased consultation of age-related pathologies including endocrine disorders. Two main areas are focusing the attention of medical and social research in older population: the diagnosis and care of this heterogeneous population, and the interventional measures potentially useful to mitigate age-related functional declines and to increase health and quality of lifespan. Thus, better understanding the physiopathology of aging and establishing accurate diagnostic and personalized approaches are a priority and currently an unmet need of the medical community. The endocrine system plays a major role in survival and lifespan through regulating vital processes such as energy consumption and optimizing the stress response among others. The aim of this paper is to review the physiological evolution of the main hormonal functions in aging and its clinical translation to improve our approach to the aging patient.
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Predictors of Response to Treatment with First-Generation Somatostatin Receptor Ligands in Patients with Acromegaly.
Marques-Pamies, M, Gil, J, Jordà, M, Puig-Domingo, M
Archives of medical research. 2023;(8):102924
Abstract
BACKGROUND AND AIMS Predictors of first-generation somatostatin receptor ligands (fgSRLs) response in acromegaly have been studied for over 30 years, but they are still not recommended in clinical guidelines. Is there not enough evidence to support their use? This systematic review aims to describe the current knowledge of the main predictors of fgSRLs response and discuss their current usefulness, as well as future research directions. METHODS A systematic search was performed in the Scopus and PubMed databases for functional, imaging, and molecular predictive factors. RESULTS A total of 282 articles were detected, of which 64 were included. Most of them are retrospective studies performed between 1990 and 2023 focused on the predictive response to fgSRLs in acromegaly. The usefulness of the predictive factors is confirmed, with good response identified by the most replicated factors, specifically low GH nadir in the acute octreotide test, T2 MRI hypointensity, high Somatostatin receptor 2 (SSTR2) and E-cadherin expression, and a densely granulated pattern. Even if these biomarkers are interrelated, the association is quite heterogeneous. With classical statistical methods, it is complex to define reliable and generalizable cut-off values worth recommending in clinical guidelines. Machine-learning models involving omics are a promising approach to achieve the highest accuracy values to date. CONCLUSIONS This survey confirms a sufficiently robust level of evidence to apply knowledge of predictive factors for greater efficiency in the treatment decision process. The irruption of artificial intelligence in this field is providing definitive answers to such long-standing questions that may change clinical guidelines and make personalized medicine a reality.
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Basic mechanisms of SARS-CoV-2 infection. What endocrine systems could be implicated?
Soldevila, B, Puig-Domingo, M, Marazuela, M
Reviews in endocrine & metabolic disorders. 2022;(2):137-150
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Abstract
Although SARS-CoV-2 viral attacks starts by the interaction of spike protein (S Protein) to ACE2 receptor located at the cell surface of respiratory tract and digestive system cells, different endocrine targets, endocrine organs and metabolic conditions are of fundamental relevance for understanding disease progression and special outcomes, in particular those of fatal consequences for the patient. During pandemic, moreover, a specific phenotype of COVID-19 metabolic patient has been described, characterized by being at particular risk of worse outcomes. In the present paper we describe the mechanism of viral interaction with endocrine organs, emphasizing the specific endocrine molecules of particular relevance explaining COVID-19 disease evolution and outcomes.
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Nutritional Status According to the GLIM Criteria in Patients with Chronic Heart Failure: Association with Prognosis.
Joaquín, C, Alonso, N, Lupón, J, Gastelurrutia, P, Pérez-Monstesdeoca, A, Domingo, M, Zamora, E, Socias, G, Ramos, A, Bayes-Genis, A, et al
Nutrients. 2022;(11)
Abstract
BACKGROUND The Global Leadership Initiative on Malnutrition (GLIM) criteria were recently proposed to build a global consensus on the diagnostic criteria for malnutrition. This study aimed to evaluate the GLIM criteria for its prognostic significance in outpatients with heart failure (HF), and to compare them to a previous validated method, such as the Mini Nutritional Assessment (MNA). METHODS This was a post hoc observational analysis of a prospectively recruited cohort, which included 151 subjects that attended an outpatient HF clinic. At baseline, all patients completed the nutritional screening MNA short form and the nutritional assessment MNA. In a post hoc analysis, we evaluated the GLIM criteria at baseline. The outcomes were based on data from a five-year follow-up. The primary endpoint was all-cause mortality. Secondary endpoints were cardiovascular (CV) mortality and recurrent HF-related hospitalizations. We also investigated whether the GLIM criteria had better prognostic power than the MNA. RESULTS Abnormal nutritional status was identified in 19.8% of the patients with the GLIM criteria and in 25.1% with the MNA. In the multivariate analyses (age, sex, NYHA functional class, diabetes, and Barthel index), nutritional status assessed by the MNA, but not by the GLIM criteria, was an independent predictor of all-cause mortality, CV mortality, and recurrent HF-related hospitalizations during the five-year follow-up. CONCLUSIONS Malnutrition assessed by MNA, but not by the GLIM criteria, was an independent predictor of all-cause mortality, CV mortality, and recurrent HF-related hospitalization in our cohort of outpatients with HF.
