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Puliani G, Sbardella E, Cozzolino A, Sada V, Tozzi R, Andreoli C, Fiorelli M, Di Biasi C, Corallino D, Balla A, Paganini AM, Venneri MA, Lenzi A, Lubrano C, Isidori AM. Pituitary T1 signal intensity at magnetic resonance imaging is reduced in patients with obesity: results from the CHIASM study. Int J Obes (Lond) 2023; 47:948-955. [PMID: 37479795 PMCID: PMC10511316 DOI: 10.1038/s41366-023-01338-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 06/18/2023] [Accepted: 07/04/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Despite obesity being well known to be associated with several pituitary hormone imbalances, pituitary appearance in magnetic resonance imaging (MRI) in patients with obesity is understudied. OBJECTIVE To evaluate the pituitary volume and signal intensity at MRI in patients with obesity. METHODS This is a prospective study performed in an endocrine Italian referral center (ClinicalTrial.gov Identifier: NCT03458533). Sixty-nine patients with obesity (BMI > 30 kg/m2) and twenty-five subjects without obesity were enrolled. Thirty-three patients with obesity were re-evaluated after 3 years of diet and lifestyle changes, of whom 17 (51.5%) achieved a > 5% loss of their initial body weight, whereas the remaining 16 (48.5%) had maintained or gained weight. Evaluations included metabolic and hormone assessments, DEXA scan, and pituitary MRI. Pituitary signal intensity was quantified by measuring the pixel density using ImageJ software. RESULTS At baseline, no difference in pituitary volume was observed between the obese and non-obese cohorts. At the 3-year follow-up, pituitary volume was significantly reduced (p = 0.011) only in participants with stable-increased body weight. Furthermore, a significant difference was noted in the mean pituitary intensity of T1-weighted plain and contrast-enhanced sequences between the obese and non-obese cohorts at baseline (p = 0.006; p = 0.002), and a significant decrease in signal intensity was observed in the subgroup of participants who had not lost weight (p = 0.012; p = 0.017). Insulin-like growth factor-1 levels, following correction for BMI, were correlated with pituitary volume (p = 0.001) and intensity (p = 0.049), whereas morning cortisol levels were correlated with pituitary intensity (p = 0.007). The T1-weighted pituitary intensity was negatively correlated with truncal fat (p = 0.006) and fibrinogen (p = 0.018). CONCLUSIONS The CHIASM study describes a quantitative reduction in pituitary intensity in T1-weighted sequences in patients with obesity. These alterations could be explained by changes in the pituitary stromal tissue, correlated with low-grade inflammation.
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Affiliation(s)
- Giulia Puliani
- Oncological Endocrinology Unit, Regina Elena National Cancer Institute IRCCS, Via Elio Chianesi 53, 00144, Rome, Italy
| | - Emilia Sbardella
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Alessia Cozzolino
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Valentina Sada
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Rossella Tozzi
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Chiara Andreoli
- Unit of Emergency Radiology, Department of Radiological, Oncological and Pathological Sciences, Umberto I University Hospital, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy
| | - Marco Fiorelli
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy
| | - Claudio Di Biasi
- Unit of Emergency Radiology, Department of Radiological, Oncological and Pathological Sciences, Umberto I University Hospital, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy
| | - Diletta Corallino
- Bariatric Surgery Unit, Department of General Surgery and Surgical Specialties "Paride Stefanini" Sapienza University of Rome, Umberto I University Hospital, Viale del Policlinico 155, 00161, Rome, Italy
| | - Andrea Balla
- Bariatric Surgery Unit, Department of General Surgery and Surgical Specialties "Paride Stefanini" Sapienza University of Rome, Umberto I University Hospital, Viale del Policlinico 155, 00161, Rome, Italy
| | - Alessandro M Paganini
- Bariatric Surgery Unit, Department of General Surgery and Surgical Specialties "Paride Stefanini" Sapienza University of Rome, Umberto I University Hospital, Viale del Policlinico 155, 00161, Rome, Italy
| | - Mary Anna Venneri
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Andrea Lenzi
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Carla Lubrano
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Andrea M Isidori
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
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Masi D, Gangitano E, Criniti A, Ballesio L, Anzuini A, Marino L, Gnessi L, Angeloni A, Gandini O, Lubrano C. Obesity-Associated Hepatic Steatosis, Somatotropic Axis Impairment, and Ferritin Levels Are Strong Predictors of COVID-19 Severity. Viruses 2023; 15:v15020488. [PMID: 36851702 PMCID: PMC9968194 DOI: 10.3390/v15020488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/24/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
The full spectrum of SARS-CoV-2-infected patients has not yet been defined. This study aimed to evaluate which parameters derived from CT, inflammatory, and hormonal markers could explain the clinical variability of COVID-19. We performed a retrospective study including SARS-CoV-2-infected patients hospitalized from March 2020 to May 2021 at the Umberto I Polyclinic of Rome. Patients were divided into four groups according to the degree of respiratory failure. Routine laboratory examinations, BMI, liver steatosis indices, liver CT attenuation, ferritin, and IGF-1 serum levels were assessed and correlated with severity. Analysis of variance between groups showed that patients with worse prognoses had higher BMI and ferritin levels, but lower liver density, albumin, GH, and IGF-1. ROC analysis confirmed the prognostic accuracy of IGF-1 in discriminating between patients who experienced death/severe respiratory failure and those who did not (AUC 0.688, CI: 0.587 to 0.789, p < 0.001). A multivariate analysis considering the degrees of severity of the disease as the dependent variable and ferritin, liver density, and the standard deviation score of IGF-1 as regressors showed that all three parameters were significant predictors. Ferritin, IGF-1, and liver steatosis account for the increased risk of poor prognosis in COVID-19 patients with obesity.
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Affiliation(s)
- Davide Masi
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy
| | - Elena Gangitano
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy
| | - Anna Criniti
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy
| | - Laura Ballesio
- Department of Radiology, Anatomo–Pathology and Oncology, Sapienza University of Rome, 00185 Rome, Italy
| | - Antonella Anzuini
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy
| | - Luca Marino
- Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Rome, Italy
- Emergency Medicine Unit, Department of Emergency-Acceptance, Critical Areas and Trauma, Policlinico “Umberto I”, 00161 Rome, Italy
| | - Lucio Gnessi
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy
| | - Antonio Angeloni
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy
- Emergency Medicine Unit, Department of Emergency-Acceptance, Critical Areas and Trauma, Policlinico “Umberto I”, 00161 Rome, Italy
| | - Orietta Gandini
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Carla Lubrano
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy
- Correspondence:
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3
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Medenica S, Spoltore ME, Ormazabal P, Marina LV, Sojat AS, Faggiano A, Gnessi L, Mazzilli R, Watanabe M. Female infertility in the era of obesity: The clash of two pandemics or inevitable consequence? Clin Endocrinol (Oxf) 2023; 98:141-152. [PMID: 35644933 PMCID: PMC10084349 DOI: 10.1111/cen.14785] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/07/2022] [Accepted: 05/25/2022] [Indexed: 01/04/2023]
Abstract
Obesity is an epidemic that has led to a rise in the incidence of many comorbidities: among others, reduced fertility is often under-evaluated in clinical practice. The mechanisms underlying the link between reduced fertility and obesity are numerous, with insulin resistance, hyperglycaemia and the frequent coexistence of polycystic ovary syndrome being the most acknowledged. However, several other factors concur, such as gut microbiome alterations, low-grade chronic inflammation and oxidative stress. Not only do women with obesity take longer to conceive, but in vitro fertilization (IVF) is also less likely to succeed. We herein provide an updated state-of-the-art regarding the molecular bases of what we could define as dysmetabolic infertility, focusing on the clinical aspects, as well as possible treatment.
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Affiliation(s)
- Sanja Medenica
- Department of Internal Medicine, Endocrinology Section, Clinical Center of Montenegro, Faculty of Medicine, University of Montenegro, Podgorica, Montenegro
| | - Maria Elena Spoltore
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, Rome, Italy
| | - Paulina Ormazabal
- Institute of Health Sciences, Universidad de O'Higgins, Rancagua, Chile
- Laboratory of Obesity and Metabolism in Geriatrics and Adults (OMEGA), Institute of Nutrition and Food Technology (INTA), Universidad de Chile, Macul, Santiago, Chile
| | - Ljiljana V Marina
- Department for Obesity, Metabolic and Reproductive Disorders, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Antoan Stefan Sojat
- Department for Obesity, Metabolic and Reproductive Disorders, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Centre of Serbia, Belgrade, Serbia
| | - Antongiulio Faggiano
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, AOU Sant'Andrea, Rome, Italy
| | - Lucio Gnessi
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, Rome, Italy
| | - Rossella Mazzilli
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, AOU Sant'Andrea, Rome, Italy
| | - Mikiko Watanabe
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, Rome, Italy
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4
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Wang GX, Huang BL, Li JT, Fang ZB, Feng LY, Zhao HX, Chu SF, Liu DL, Li HL. Association between urinary nickel with obesity status in adults: A cross-sectional study. Front Public Health 2023; 11:1094062. [PMID: 36875412 PMCID: PMC9982146 DOI: 10.3389/fpubh.2023.1094062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/31/2023] [Indexed: 02/19/2023] Open
Abstract
Objectives The prevalence of obesity is on the rise and is connected to numerous factors. However, the relationship between obesity and nickel has never been investigated. Our study aimed to explore the association between urinary nickel and obesity Status in adults. Methods From the 2017-2018 National Health and Nutrition Examination Surveys (NHANES), 1,705 participants ≥18 years of age were enrolled. To explore further the relationship among urinary nickel, body mass index (BMI), and waist circumference(WC), Weighted multivariate linear regression analyses and further subgroup analyzes were conducted. Results Urinary nickel does not correlate with BMI level but positively correlates with WC. In the subgroup analyzed according to sex, Urinary nickel has a positive correlation with BMI and WC in males but has a negative correlation in females. Secondary stratification analysis according to sex and race, Urinary nickel positively correlates with BMI in White males. It also positively correlates with WC in both White and Black males. Conclusions A correlation was found between urinary nickel levels and BMI and WC in adult males. Adult men, especially those already obese, may need to reduce nickel exposure.
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Affiliation(s)
- Gao-Xiang Wang
- Shenzhen Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Shenzhen, Guangdong, China.,Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Bao-Li Huang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Jun-Tong Li
- Shenzhen Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Shenzhen, Guangdong, China.,Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Ze-Bin Fang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Le-Yi Feng
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Heng-Xia Zhao
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Shu-Fang Chu
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - De-Liang Liu
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Hui-Lin Li
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
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Metal Allergy: State-of-the-Art Mechanisms, Biomarkers, Hypersensitivity to Implants. J Clin Med 2022; 11:jcm11236971. [PMID: 36498546 PMCID: PMC9739320 DOI: 10.3390/jcm11236971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
Metal allergy is mainly an environmental disorder which can cause allergic contact dermatitis. Environmental metal exposures include jewelry, everyday metal items, mobile phones, leather, metal-rich food and implants, including stents or anchors. While consumer exposure is liable for the majority of metal hypersensitivity cases, the significance of occupational exposure to metals remains relevant. Although the most common metal allergens are nickel, chromium, and cobalt; however, lately, gold, palladium, titanium, and some others have also attracted attention. This review highlights advances in metal allergy mechanisms, biomarkers for potential patients' stratification as well as biological treatments. The most recent evidence of human exposure to metal for risk assessment is discussed, as well as the relationship between the occurrence of metal hypersensitivity and implanted devices, including non-characteristic symptoms. The latest data on the diagnosis of metal hypersensitivity are also reported.
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Muacevic A, Adler JR. A Case of Vernal Keratoconjunctivitis With Growth Hormone Deficiency. Cureus 2022; 14:e30615. [PMID: 36426321 PMCID: PMC9681536 DOI: 10.7759/cureus.30615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2022] [Indexed: 12/02/2022] Open
Abstract
Hormonal abnormalities are considered to play a role in the development of vernal keratoconjunctivitis (VKC). However, little is known whether about growth hormone (GH) is related to VKC development. The patient was an 11-year-old male with VKC treated with 0.1% betamethasone eye drops and 0.1% cyclosporin eye drops. The papillary growth of both superior and inferior palpebral conjunctiva worsened, and masses started to appear at the lower palpebral margin. He was referred to our hospital and was treated with 0.1% tacrolimus and 0.1% fluorometholone. Six weeks later, the condition improved remarkably. At this timepoint, we noticed the patient's short stature and asked again about his past history. Two years ago, he was diagnosed with GH deficiency (GHD), which had been treated with somatropin in a pediatric clinic. Thus, it is necessary to keep in mind the possibility of GHD when treating VKC patients.
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Gangitano E, Barbaro G, Susi M, Rossetti R, Spoltore ME, Masi D, Tozzi R, Mariani S, Gnessi L, Lubrano C. Growth Hormone Secretory Capacity Is Associated with Cardiac Morphology and Function in Overweight and Obese Patients: A Controlled, Cross-Sectional Study. Cells 2022; 11:2420. [PMID: 35954264 PMCID: PMC9367721 DOI: 10.3390/cells11152420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 07/30/2022] [Accepted: 08/02/2022] [Indexed: 12/10/2022] Open
Abstract
Obesity is associated with increased cardiovascular morbidity. Adult patients with growth hormone deficiency (GHD) show morpho-functional cardiological alterations. A total of 353 overweight/obese patients are enrolled in the period between 2009 and 2019 to assess the relationships between GH secretory capacity and the metabolic phenotype, cardiovascular risk factors, body composition and cardiac echocardiographic parameters. All patients underwent GHRH + arginine test to evaluate GH secretory capacity, DEXA for body composition assessment and transthoracic echocardiography. Blood samples are also collected for the evaluation of metabolic parameters. In total, 144 patients had GH deficiency and 209 patients had normal GH secretion. In comparing the two groups, we found significant differences in body fat distribution with predominantly visceral adipose tissue accumulation in GHD patients. Metabolic syndrome is more prevalent in the GHD group. In particular, fasting glycemia, triglycerides and systolic and diastolic blood pressure are found to be linearly correlated with GH secretory capacity. Epicardial fat thickness, E/A ratio and indexed ventricular mass are worse in the GHD group. In the population studied, metabolic phenotype, body composition, cardiovascular risk factors and cardiac morphology are found to be related to the GH secretory capacity. GH secretion in the obese patient seems to be an important determinant of metabolic health.
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Affiliation(s)
- Elena Gangitano
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Giuseppe Barbaro
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Martina Susi
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Rebecca Rossetti
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Maria Elena Spoltore
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Davide Masi
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Rossella Tozzi
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Stefania Mariani
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Lucio Gnessi
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Carla Lubrano
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
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8
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Masi D, Risi R, Biagi F, Vasquez Barahona D, Watanabe M, Zilich R, Gabrielli G, Santin P, Mariani S, Lubrano C, Gnessi L. Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome. Nutrients 2022; 14:nu14020373. [PMID: 35057554 PMCID: PMC8779369 DOI: 10.3390/nu14020373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/31/2021] [Accepted: 01/13/2022] [Indexed: 12/13/2022] Open
Abstract
The key factors playing a role in the pathogenesis of metabolic alterations observed in many patients with obesity have not been fully characterized. Their identification is crucial, and it would represent a fundamental step towards better management of this urgent public health issue. This aim could be accomplished by exploiting the potential of machine learning (ML) technology. In a single-centre study (n = 2567), we used an ML analysis to cluster patients with metabolically healthy (MHO) or metabolically unhealthy (MUO) obesity, based on several clinical and biochemical variables. The first model provided by ML was able to predict the presence/absence of MHO with an accuracy of 66.67% and 72.15%, respectively, and included the following parameters: HOMA-IR, upper body fat/lower body fat, glycosylated haemoglobin, red blood cells, age, alanine aminotransferase, uric acid, white blood cells, insulin-like growth factor 1 (IGF-1) and gamma-glutamyl transferase. For each of these parameters, ML provided threshold values identifying either MUO or MHO. A second model including IGF-1 zSDS, a surrogate marker of IGF-1 normalized by age and sex, was even more accurate with a 71.84% and 72.3% precision, respectively. Our results demonstrated high IGF-1 levels in MHO patients, thus highlighting a possible role of IGF-1 as a novel metabolic health parameter to effectively predict the development of MUO using ML technology.
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Affiliation(s)
- Davide Masi
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy; (R.R.); (F.B.); (D.V.B.); (M.W.); (S.M.); (C.L.); (L.G.)
- Correspondence: ; Tel.: +39-06-499-707-16
| | - Renata Risi
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy; (R.R.); (F.B.); (D.V.B.); (M.W.); (S.M.); (C.L.); (L.G.)
- MRC Metabolic Diseases Unit, MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 1TN, UK
| | - Filippo Biagi
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy; (R.R.); (F.B.); (D.V.B.); (M.W.); (S.M.); (C.L.); (L.G.)
| | - Daniel Vasquez Barahona
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy; (R.R.); (F.B.); (D.V.B.); (M.W.); (S.M.); (C.L.); (L.G.)
| | - Mikiko Watanabe
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy; (R.R.); (F.B.); (D.V.B.); (M.W.); (S.M.); (C.L.); (L.G.)
| | | | | | | | - Stefania Mariani
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy; (R.R.); (F.B.); (D.V.B.); (M.W.); (S.M.); (C.L.); (L.G.)
| | - Carla Lubrano
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy; (R.R.); (F.B.); (D.V.B.); (M.W.); (S.M.); (C.L.); (L.G.)
| | - Lucio Gnessi
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy; (R.R.); (F.B.); (D.V.B.); (M.W.); (S.M.); (C.L.); (L.G.)
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