NCT06438900

Brief Summary

The study aims to explore whether a high level of AGEs (Advanced Glycation end products) derived from the diet may mediate diet-related muscle loss in Western-type diet, influencing the onset and progression of sarcopenia, predisposing to earlier and more severe metabolic consequences, including type 2 diabetes (T2D). The primary objective of the study is to investigate how the accumulation of AGEs is correlated with muscle loss in adult patients with obesity and type 2 diabetes or lipodystrophy in order to identify possible targets to mitigate the metabolic alterations caused by the Western diet (WD). Specifically, circulating AGEs levels on the skin will be evaluated and correlated with the stage of sarcopenia in a group of patients with obesity and a T2D diagnosis. Furthermore, the relationship between disease duration and AGE levels will be assessed. A secondary objective will be to analyze the clinical data obtained to identify metabolites and metabolic pathways responsible for the phenotype induced by the WD. The ultimate aim of the study is therefore to verify whether high levels of AGEs are correlated with an early and/or more pronounced onset of sarcopenia, concurrently with an increase in inflammation and oxidative stress.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
195

participants targeted

Target at P50-P75 for all trials

Timeline
0mo left

Started Jun 2024

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress99%
Jun 2024May 2026

First Submitted

Initial submission to the registry

May 14, 2024

Completed
20 days until next milestone

First Posted

Study publicly available on registry

June 3, 2024

Completed
12 days until next milestone

Study Start

First participant enrolled

June 15, 2024

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 15, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 15, 2026

Last Updated

August 1, 2024

Status Verified

July 1, 2024

Enrollment Period

1.9 years

First QC Date

May 14, 2024

Last Update Submit

July 31, 2024

Conditions

Keywords

Advanced glycation end productsSarcobesityObesitySarcopenic

Outcome Measures

Primary Outcomes (6)

  • Skeletal mass functionality for sarcopenia definition

    Functional parameters of skeletal muscle defined by muscle strength measured through hand grip strength (HGS) The test requires the patient to tighten the handle the dynamometer with the maximum possible force, then maintaining the contraction for at least 5 seconds; you should repeat the test on the other hand (it is normal that the dominant expresses a higher force) and possibly repeat the test 2-3 times, with a break between different attempts, then going to calculate the average oh the kg moved with the dynamometer

    evaluation of sarcopenia state through study completion, an average of 1 year

  • Skeletall mass fuctionality for sarcopenia definition

    Functional parameters of skeletal muscle defined by the chair test: five-times sit-to-stand test; time duration 30-second chair stand test. You measure by considering the ability in seconds to get up and sit down from the chair properly

    evaluation of sarcopenia state through study completion, an average of 1 year

  • Skeletall mass calculation for sarcopenia definition

    The percentage of skeletal muscle mass relative to body mass will be considered. Skeletal mass will be calculated as follows: SM(Kg)=\[(h\^2/(BIA resistance)0.401)+(gender3.825)+(age\*0.071)\]+5.102 Where h indicates height measured in cm, gender is a dichotomous variable taking a value of 1 for males and 0 for females, and age is measured in years. From this measurement, the percentage of skeletal muscle mass (%SMM) will be calculated: %SMM=(SM (Kg))/(Body mass (Kg))\*100

    evaluation of sarcopenia state through study completion, an average of 1 year

  • Number of participants with sarcopenia

    According to consensus statement of European Society for Clinical Nutrition and Metabolism (ESPEN) and dell' European Association for the Study of Obesity (EASO) guidelines, individuals with altered skeletal muscle functionality parameters (HGS \< 16 kg for females and \< 27 kg for males or chair test \>15 seconds for both males and females \[27\]), altered %BF(body fat) (≥ 25% for males and ≥35% for females \[28\]), and altered %SMM (\<35.6% (≤28.7% severe sarcopenia) for males, \<28.4% (≤23% severe sarcopenia) for females) will be defined as sarcopenic.

    evaluation of sarcopenia state through study completion, an average of 1 year

  • Advanced glycation end products quantification

    AGE levels will be measured using skin fluorescence, using the "AGE reader mu" device (range from 1.3 to 5 level of AGEs respect to the patient's age).

    evaluation of AGEs through study completion, an average of 1 year

  • Endogenous and exogenous AGEs plasma quantification

    AGEs will also be assessed at the plasma level in free form (ELISA, fluorescence assay) or bound to hemoglobin (HbA1c clinical practice test), both measured in pg/mL

    evaluation of AGEs through study completion, an average of 1 year

Secondary Outcomes (9)

  • With questionnaires assessment of socio-demographic characteristics

    evaluation of socio-demographic characteristics through study completion, an average of 1 year

  • Anthropometric measurements

    evaluation of weight and body composition through study completion, an average of 1 year

  • Anthropometric measurements

    evaluation of height through study completion, an average of 1 year

  • Anthropometric measurements

    evaluation of BMI (body mass index) through study completion, an average of 1 year

  • Anthropometric measurements

    evaluation of circumferences through study completion, an average of 1 year

  • +4 more secondary outcomes

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Given a type I error rate (α) of 0.05 and a power of 80%, 195 subjects will be needed to observe a significant correlation between AGE levels and sarcobesity indices of at least 0.2. Considering the low prevalence of lipodystrophy and a recruitment duration of one year, approximately 35 subjects with this condition are expected to be included. The remaining 160 subjects will have diabetes and obesity. Furthermore, considering that the duration of diabetes may influence AGE levels and sarcobesity, both subjects with long-standing diabetes (80 patients) and those with less than one year of diagnosis (80 patients) will be selected, which can be considered comparable to subjects in pre-diabetes.

You may qualify if:

  • Patients of both sexes.
  • Adults.
  • BMI compatible with obesity and a diagnosis of type 2 diabetes under good metabolic control (HbA1c \< 7.5%) within 15 years of entry into the study or diagnosis of lipodystrophy (included in the European Consortium of Lipodystrophies (ECLip) Registry (eclip-web.org))

You may not qualify if:

  • Age under 18 years.
  • Secondary obesity or genetic diseases (Prader-Willi Syndrome, Down Syndrome); metabolic and endocrine disorders (Cushing's syndrome, hypothyroidism).
  • Subjects with: Inflammatory Bowel Disease (IBD), cancer.
  • Confirmed or planned pregnancy during the study participation months.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

SCDU Endocrinology, AOU Ospedale Maggiore della Carità

Novara, 28100, Italy

RECRUITING

Related Publications (23)

  • Frontera WR, Ochala J. Skeletal muscle: a brief review of structure and function. Calcif Tissue Int. 2015 Mar;96(3):183-95. doi: 10.1007/s00223-014-9915-y. Epub 2014 Oct 8.

    PMID: 25294644BACKGROUND
  • Merz KE, Thurmond DC. Role of Skeletal Muscle in Insulin Resistance and Glucose Uptake. Compr Physiol. 2020 Jul 8;10(3):785-809. doi: 10.1002/cphy.c190029.

    PMID: 32940941BACKGROUND
  • Bonaldo P, Sandri M. Cellular and molecular mechanisms of muscle atrophy. Dis Model Mech. 2013 Jan;6(1):25-39. doi: 10.1242/dmm.010389.

    PMID: 23268536BACKGROUND
  • Cohen S, Nathan JA, Goldberg AL. Muscle wasting in disease: molecular mechanisms and promising therapies. Nat Rev Drug Discov. 2015 Jan;14(1):58-74. doi: 10.1038/nrd4467.

    PMID: 25549588BACKGROUND
  • Dutt V, Gupta S, Dabur R, Injeti E, Mittal A. Skeletal muscle atrophy: Potential therapeutic agents and their mechanisms of action. Pharmacol Res. 2015 Sep;99:86-100. doi: 10.1016/j.phrs.2015.05.010. Epub 2015 Jun 2.

    PMID: 26048279BACKGROUND
  • Lecker SH, Jagoe RT, Gilbert A, Gomes M, Baracos V, Bailey J, Price SR, Mitch WE, Goldberg AL. Multiple types of skeletal muscle atrophy involve a common program of changes in gene expression. FASEB J. 2004 Jan;18(1):39-51. doi: 10.1096/fj.03-0610com.

    PMID: 14718385BACKGROUND
  • Hosseini Z, Whiting SJ, Vatanparast H. Current evidence on the association of the metabolic syndrome and dietary patterns in a global perspective. Nutr Res Rev. 2016 Dec;29(2):152-162. doi: 10.1017/S095442241600007X.

    PMID: 27955720BACKGROUND
  • Tsilingiris D, Tzeravini E, Koliaki C, Dalamaga M, Kokkinos A. The Role of Mitochondrial Adaptation and Metabolic Flexibility in the Pathophysiology of Obesity and Insulin Resistance: an Updated Overview. Curr Obes Rep. 2021 Sep;10(3):191-213. doi: 10.1007/s13679-021-00434-0. Epub 2021 Apr 10.

    PMID: 33840072BACKGROUND
  • Peppa M, Mavroeidi I. Experimental Animal Studies Support the Role of Dietary Advanced Glycation End Products in Health and Disease. Nutrients. 2021 Sep 29;13(10):3467. doi: 10.3390/nu13103467.

    PMID: 34684468BACKGROUND
  • Muthyalaiah YS, Jonnalagadda B, John CM, Arockiasamy S. Impact of Advanced Glycation End products (AGEs) and its receptor (RAGE) on cancer metabolic signaling pathways and its progression. Glycoconj J. 2021 Dec;38(6):717-734. doi: 10.1007/s10719-021-10031-x. Epub 2022 Jan 22.

    PMID: 35064413BACKGROUND
  • Mori H, Kuroda A, Ishizu M, Ohishi M, Takashi Y, Otsuka Y, Taniguchi S, Tamaki M, Kurahashi K, Yoshida S, Endo I, Aihara KI, Funaki M, Akehi Y, Matsuhisa M. Association of accumulated advanced glycation end-products with a high prevalence of sarcopenia and dynapenia in patients with type 2 diabetes. J Diabetes Investig. 2019 Sep;10(5):1332-1340. doi: 10.1111/jdi.13014. Epub 2019 Feb 19.

    PMID: 30677242BACKGROUND
  • Waqas K, Chen J, Trajanoska K, Ikram MA, Uitterlinden AG, Rivadeneira F, Zillikens MC. Skin Autofluorescence, a Noninvasive Biomarker for Advanced Glycation End-products, Is Associated With Sarcopenia. J Clin Endocrinol Metab. 2022 Jan 18;107(2):e793-e803. doi: 10.1210/clinem/dgab632.

    PMID: 34453164BACKGROUND
  • Chiu CY, Yang RS, Sheu ML, Chan DC, Yang TH, Tsai KS, Chiang CK, Liu SH. Advanced glycation end-products induce skeletal muscle atrophy and dysfunction in diabetic mice via a RAGE-mediated, AMPK-down-regulated, Akt pathway. J Pathol. 2016 Feb;238(3):470-82. doi: 10.1002/path.4674. Epub 2015 Dec 31.

    PMID: 26586640BACKGROUND
  • Chiappalupi S, Sorci G, Vukasinovic A, Salvadori L, Sagheddu R, Coletti D, Renga G, Romani L, Donato R, Riuzzi F. Targeting RAGE prevents muscle wasting and prolongs survival in cancer cachexia. J Cachexia Sarcopenia Muscle. 2020 Aug;11(4):929-946. doi: 10.1002/jcsm.12561. Epub 2020 Mar 11.

    PMID: 32159297BACKGROUND
  • Egawa T, Tsuda S, Goto A, Ohno Y, Yokoyama S, Goto K, Hayashi T. Potential involvement of dietary advanced glycation end products in impairment of skeletal muscle growth and muscle contractile function in mice. Br J Nutr. 2017 Jan;117(1):21-29. doi: 10.1017/S0007114516004591. Epub 2017 Jan 17.

    PMID: 28093090BACKGROUND
  • Mastrocola R, Nigro D, Chiazza F, Medana C, Dal Bello F, Boccuzzi G, Collino M, Aragno M. Fructose-derived advanced glycation end-products drive lipogenesis and skeletal muscle reprogramming via SREBP-1c dysregulation in mice. Free Radic Biol Med. 2016 Feb;91:224-35. doi: 10.1016/j.freeradbiomed.2015.12.022. Epub 2015 Dec 22.

    PMID: 26721591BACKGROUND
  • Clayton ZS, Gioscia-Ryan RA, Justice JN, Lubieniecki KL, Hutton DA, Rossman MJ, Zigler MC, Seals DR. Lifelong physical activity attenuates age- and Western-style diet-related declines in physical function and adverse changes in skeletal muscle mass and inflammation. Exp Gerontol. 2022 Jan;157:111632. doi: 10.1016/j.exger.2021.111632. Epub 2021 Nov 22.

    PMID: 34822971BACKGROUND
  • Roseno SL, Davis PR, Bollinger LM, Powell JJ, Witczak CA, Brault JJ. Short-term, high-fat diet accelerates disuse atrophy and protein degradation in a muscle-specific manner in mice. Nutr Metab (Lond). 2015 Nov 4;12:39. doi: 10.1186/s12986-015-0037-y. eCollection 2015.

    PMID: 26539241BACKGROUND
  • M V, Wang K. Dietary natural products as a potential inhibitor towards advanced glycation end products and hyperglycemic complications: A phytotherapy approaches. Biomed Pharmacother. 2021 Dec;144:112336. doi: 10.1016/j.biopha.2021.112336. Epub 2021 Oct 19.

    PMID: 34678719BACKGROUND
  • Garvey WT. New Horizons. A New Paradigm for Treating to Target with Second-Generation Obesity Medications. J Clin Endocrinol Metab. 2022 Mar 24;107(4):e1339-e1347. doi: 10.1210/clinem/dgab848.

    PMID: 34865050BACKGROUND
  • Donini LM, Busetto L, Bischoff SC, Cederholm T, Ballesteros-Pomar MD, Batsis JA, Bauer JM, Boirie Y, Cruz-Jentoft AJ, Dicker D, Frara S, Fruhbeck G, Genton L, Gepner Y, Giustina A, Gonzalez MC, Han HS, Heymsfield SB, Higashiguchi T, Laviano A, Lenzi A, Nyulasi I, Parrinello E, Poggiogalle E, Prado CM, Salvador J, Rolland Y, Santini F, Serlie MJ, Shi H, Sieber CC, Siervo M, Vettor R, Villareal DT, Volkert D, Yu J, Zamboni M, Barazzoni R. Definition and Diagnostic Criteria for Sarcopenic Obesity: ESPEN and EASO Consensus Statement. Obes Facts. 2022;15(3):321-335. doi: 10.1159/000521241. Epub 2022 Feb 23.

    PMID: 35196654BACKGROUND
  • Donini LM, Poggiogalle E, Del Balzo V, Lubrano C, Faliva M, Opizzi A, Perna S, Pinto A, Rondanelli M. How to estimate fat mass in overweight and obese subjects. Int J Endocrinol. 2013;2013:285680. doi: 10.1155/2013/285680. Epub 2013 Apr 10.

    PMID: 23662101BACKGROUND
  • De Rosa E, Santarpia L, Marra M, Sammarco R, Amato V, Onufrio M, De Simone G, Contaldo F, Pasanisi F. Preliminary evaluation of the prevalence of sarcopenia in obese patients from Southern Italy. Nutrition. 2015 Jan;31(1):79-83. doi: 10.1016/j.nut.2014.04.025. Epub 2014 May 10.

    PMID: 25441590BACKGROUND

MeSH Terms

Conditions

SarcopeniaObesity

Condition Hierarchy (Ancestors)

Muscular AtrophyNeuromuscular ManifestationsNeurologic ManifestationsNervous System DiseasesAtrophyPathological Conditions, AnatomicalPathological Conditions, Signs and SymptomsSigns and SymptomsOverweightOvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody Weight

Study Officials

  • Flavia Prodam, MD PhD

    AOU Maggiore della Carità di Novara

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Flavia Prodam, MD PhD

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

May 14, 2024

First Posted

June 3, 2024

Study Start

June 15, 2024

Primary Completion (Estimated)

May 15, 2026

Study Completion (Estimated)

May 15, 2026

Last Updated

August 1, 2024

Record last verified: 2024-07

Data Sharing

IPD Sharing
Will not share

Locations