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RecruitingNCT07917364ASPRO-MetSUpdated Nov 4, 2026

Asprosin and miRNA Expression in Young Women With Metabolic Syndrome

An observational study in Metabolic Syndrome, Insulin Resistance and Obesity, Abdominal, sponsored by University of Applied Sciences in Nowy Targ. Recruiting at 1 site in Poland. Open to female participants aged 18 Years to 35 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-11-04.

Sponsored by University of Applied Sciences in Nowy Targ · Observational

Updated Nov 4, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
110
Ages
18 Years to 35 Years
Sex
Female
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Study summary

Metabolic syndrome is a major risk factor for cardiovascular disease and type 2 diabetes, and its prevalence in young adults is increasing. Early identification of individuals at risk may improve prevention strategies. This observational, cross-sectional case-control study investigates the relationship between serum asprosin concentration, the expression of six selected circulating microRNAs, and the components and risk factors of metabolic syndrome in young women aged 18 to 35 years. Two equally sized groups will be compared: women meeting NCEP ATP III criteria for metabolic syndrome and healthy age-matched controls. Participants attend a single study visit during which fasting blood samples, anthropometric and body composition measurements, blood pressure, and validated questionnaires assessing physical activity, diet, sleep quality, perceived stress, and quality of life are collected. The study aims to determine whether asprosin and the selected microRNA profile have diagnostic value as biomarkers of metabolic syndrome in this population.

Read the detailed description

Background. Metabolic syndrome is a complex disorder characterized by the coexistence of abdominal obesity, hypertension, dyslipidemia, and impaired glucose metabolism, resulting in an increased risk of cardiovascular disease and type 2 diabetes mellitus. Although established diagnostic criteria exist, there is an ongoing need for novel biomarkers that may improve early detection and clarify the pathophysiological mechanisms involved, particularly in young adults, in whom the condition remains under-investigated.

Asprosin is a fasting-induced adipokine implicated in glucose metabolism, insulin resistance, and obesity. Circulating microRNAs are considered promising molecular biomarkers involved in metabolic regulation and inflammatory pathways. Brain-derived neurotrophic factor (BDNF) and cortisol are additional candidate mediators linking metabolic, psychological, and sleep-related factors.

Objectives. The primary objective is to determine whether serum asprosin concentration and the expression of six selected circulating microRNAs (miR-15a-5p, miR-197-3p, miR-23a-3p, miR-21-5p, miR-146a-5p, miR-223-3p) differ between young women with metabolic syndrome and healthy age-matched women. Secondary objectives are to compare the prevalence of individual metabolic syndrome components, body composition, anthropometric, insulin resistance and atherogenic indices, physical activity, diet, sleep quality, perceived stress, and health-related quality of life between the groups, and to assess correlations between asprosin, the microRNA profile, and these variables.

Design and participants. A total of 110 women aged 18 to 35 years will be enrolled into two equally sized groups: women with metabolic syndrome without other comorbidities requiring continuous pharmacotherapy (MetS, n=55) and healthy women (CON, n=55). Sample size was calculated using G*Power 3.1.9.7; assuming a two-tailed independent-samples comparison, alpha = 0.05, effect size d = 0.5, and power = 0.80, the minimum required sample is 51 participants per group. Recruitment is continuous and conducted among young women in the Podhale region and the Malopolska Province, primarily in the academic community.

Procedures. Eligibility is screened via an online form. Eligible participants attend a single study visit of approximately 90 minutes at the Institute of Medicine of the University of Applied Sciences in Nowy Targ. After written informed consent, the following are performed: fasting venous blood collection (18 mL, antecubital vein, vacuum system, by qualified medical personnel); blood pressure measurement; anthropometric measurements (body height, body mass, waist, abdominal and hip circumference) and body composition assessment by bioelectrical impedance analysis (BIA); and completion of validated questionnaires - International Physical Activity Questionnaire (IPAQ) and 7-day Physical Activity Recall (7day-PAR), Pittsburgh Sleep Quality Index (PSQI), Perceived Stress Scale (PSS-10), Food Frequency Questionnaire (FFQ) or KomPAN together with the Fitatu dietary application, and the Short Form-36 Health Survey (SF-36).

Laboratory analyses performed immediately in a certified external laboratory: complete blood count, fasting glucose, glycated hemoglobin, insulin, and lipid profile. Plasma is separated by centrifugation at 2500 RCF for 15 minutes, aliquoted, and stored at -80 degrees C until batch analysis of asprosin, BDNF, cortisol, and the microRNA panel.

Metabolic syndrome diagnosis. Made by a physician according to NCEP ATP III criteria for women, requiring at least three of five components: triglycerides greater than 150 mg/dL; HDL cholesterol below 50 mg/dL; blood pressure greater than 130/85 mmHg or antihypertensive treatment; fasting glucose greater than 100 mg/dL or previously diagnosed diabetes; waist circumference greater than 88 cm.

Derived indices. BMI, WHR, WHtR, A Body Shape Index (ABSI), Hip Index (HI), Body Adiposity Index (BAI), Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), HOMA-IR, QUICKI, METS-IR, triglyceride-glucose index (TyG), Castelli Risk Index I and II (CRI-I, CRI-II), and Atherogenic Index of Plasma (AIP).

Statistical analysis. Distribution of variables will be assessed using the Shapiro-Wilk test. Between-group comparisons will use the independent-samples t-test or the Mann-Whitney U test as appropriate. Correlations will be assessed using Pearson or Spearman coefficients. Statistical significance will be set at p less than 0.05.

All participants will receive their individual results. Data will be anonymized before analysis and scientific use.

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Conditions studied

  • Metabolic Syndrome
  • Insulin Resistance
  • Obesity, Abdominal
  • Dyslipidemias

Keywords

  • Asprosin
  • microRNA
  • miRNA
  • Biomarkers
  • Young Women
  • Insulin Resistance
  • Cardiometabolic Risk
  • BDNF
  • Cortisol
  • Sleep Quality
  • Perceived Stress
  • NCEP ATP III
  • Body Composition
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In context

Metabolic Syndrome

2,015 studies on the registry are indexed under Metabolic Syndrome; 335 are open to participants now.

This study's planned enrollment of 110 is below the median of 200 across 471 observational studies indexed under Metabolic Syndrome.

Browse Metabolic Syndrome studies →

Lead sponsor

This is the only study on the registry with University of Applied Sciences in Nowy Targ as lead sponsor.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 35 Years
Sexes eligible
Female
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Women aged 18 to 35 years recruited from the general and academic population of the Podhale region and the Malopolska Province, Poland, through university websites, e-mail, social media, local press, printed posters and leaflets, and information meetings. Eligibility is screened using an online questionnaire. Enrolled participants form two equally sized groups: women diagnosed with metabolic syndrome according to NCEP ATP III criteria and healthy women of comparable age.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Female sex
  • Age 18 to 35 years
  • Regular menstrual cycle
  • Not engaged in competitive sports training in any discipline
  • Non-smoker
  • No alcohol abuse
  • No continuous pharmacotherapy, with the exception of treatment for diabetes and/or antihypertensive treatment; no use of hormonal contraception
  • Written informed consent for study participation and processing of personal data

Exclusion criteria

Exclusion Criteria:

  • Age outside the range of 18 to 35 years
  • Irregular menstrual cycle
  • Pregnancy or breastfeeding
  • Continuous pharmacotherapy for indications other than diabetes and/or hypertension, including any form of hormonal contraception (oral, transdermal, vaginal, implant, injectable or intrauterine)
  • Competitive sports training in any discipline
  • Current smoking
  • Alcohol abuse
  • Lack of written informed consent for study participation and processing of personal data
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Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
110 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • Metabolic Syndrome Group (MetS)

    Women aged 18-35 years meeting NCEP ATP III criteria for metabolic syndrome (at least three of five components: triglycerides greater than 150 mg/dL; HDL cholesterol below 50 mg/dL; blood pressure greater than 130/85 mmHg or antihypertensive treatment; fasting glucose greater than 100 mg/dL or previously diagnosed diabetes; waist circumference greater than 88 cm), with no other comorbidity requiring continuous pharmacotherapy. Target n=55.

    Diagnostic Test: Biomarker panel (asprosin, microRNA, BDNF, cortisol) · Other: Clinical and questionnaire assessment

  • Control Group (CON)

    Healthy women aged 18-35 years not meeting NCEP ATP III criteria for metabolic syndrome, matched for age, not receiving continuous pharmacotherapy. Target n=55.

    Diagnostic Test: Biomarker panel (asprosin, microRNA, BDNF, cortisol) · Other: Clinical and questionnaire assessment

Interventions

  • Diagnostic testBiomarker panel (asprosin, microRNA, BDNF, cortisol)

    Fasting venous blood collection for measurement of serum asprosin, BDNF and cortisol concentrations, and expression of six circulating microRNAs (miR-15a-5p, miR-197-3p, miR-23a-3p, miR-21-5p, miR-146a-5p, miR-223-3p), in addition to complete blood count, glucose, glycated hemoglobin, insulin, and lipid profile.

  • OtherClinical and questionnaire assessment

    Blood pressure measurement, anthropometric measurements and bioelectrical impedance body composition analysis, and completion of validated questionnaires (IPAQ, 7day-PAR, PSQI, PSS-10, FFQ/KomPAN with the Fitatu application, SF-36).

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What researchers measure

Primary outcomes

  1. Serum asprosin concentration

    Fasting serum asprosin concentration measured by enzyme-linked immunosorbent assay, compared between women with metabolic syndrome and healthy controls. Reported in ng/mL.

    Time frame: At the single study visit (Day 1)

  2. Expression of selected circulating microRNAs

    Relative expression of six circulating microRNAs (miR-15a-5p, miR-197-3p, miR-23a-3p, miR-21-5p, miR-146a-5p, miR-223-3p) quantified in plasma by reverse-transcription quantitative PCR. Expression is normalized using ath-miR159a as an exogenous spike-in control and hsa-miR-186-5p as a reference. All six analytes are measured by the same method and reported in the same unit of measure, relative fold change, with results reported separately for each microRNA.

    Time frame: At the single study visit (Day 1)

Secondary outcomes

  1. Prevalence of individual metabolic syndrome components

    Proportion of participants in each group meeting each of the five NCEP ATP III components: elevated triglycerides, reduced HDL cholesterol, elevated blood pressure, elevated fasting glucose, and abdominal obesity. Reported as percentage of participants.

    Time frame: At the single study visit (Day 1)

  2. Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)

    HOMA-IR calculated from fasting glucose and fasting insulin as (fasting insulin in microU/mL x fasting glucose in mg/dL) / 405, compared between the metabolic syndrome group and the control group. Reported as an index score (unitless). Higher values indicate greater insulin resistance.

    Time frame: At the single study visit (Day 1)

  3. Castelli Risk Index I

    Ratio of total cholesterol to HDL cholesterol, calculated from the fasting lipid profile and compared between the metabolic syndrome group and the control group. Reported as a ratio (unitless). Higher values indicate greater atherogenic risk.

    Time frame: At the single study visit (Day 1)

  4. Body fat percentage

    Body fat percentage (PBF) measured by bioelectrical impedance analysis, compared between the metabolic syndrome group and the control group. Reported as a percentage of total body mass.

    Time frame: At the single study visit (Day 1)

  5. Serum brain-derived neurotrophic factor (BDNF) concentration

    Fasting serum BDNF concentration measured by enzyme-linked immunosorbent assay, compared between groups and correlated with metabolic syndrome components. Reported in ng/mL.

    Time frame: At the single study visit (Day 1)

  6. Serum cortisol concentration

    Fasting serum cortisol concentration measured by immunoassay, compared between groups and correlated with perceived stress and sleep quality scores. Reported in micrograms/dL.

    Time frame: At the single study visit (Day 1)

  7. Quantitative Insulin Sensitivity Check Index (QUICKI)

    QUICKI calculated from fasting glucose and fasting insulin as 1 / (log fasting insulin in microU/mL + log fasting glucose in mg/dL), compared between the metabolic syndrome group and the control group. Reported as an index score (unitless). Higher values indicate greater insulin sensitivity.

    Time frame: At the single study visit (Day 1)

  8. Metabolic Score for Insulin Resistance (METS-IR)

    METS-IR calculated from fasting glucose, fasting triglycerides, body mass index and HDL cholesterol, compared between the metabolic syndrome group and the control group. Reported as an index score (unitless). Higher values indicate greater insulin resistance.

    Time frame: At the single study visit (Day 1)

  9. Triglyceride-Glucose Index (TyG)

    TyG index calculated as the natural logarithm of (fasting triglycerides in mg/dL x fasting glucose in mg/dL) / 2, compared between the metabolic syndrome group and the control group. Reported as an index score (unitless). Higher values indicate greater insulin resistance.

    Time frame: At the single study visit (Day 1)

  10. Castelli Risk Index II

    Ratio of LDL cholesterol to HDL cholesterol, calculated from the fasting lipid profile and compared between the metabolic syndrome group and the control group. Reported as a ratio (unitless). Higher values indicate greater atherogenic risk.

    Time frame: At the single study visit (Day 1)

  11. Atherogenic Index of Plasma (AIP)

    Base-10 logarithm of the ratio of fasting triglycerides to HDL cholesterol, both expressed in mmol/L, compared between the metabolic syndrome group and the control group. Reported as a log-transformed ratio (unitless). Higher values indicate greater atherogenic risk.

    Time frame: At the single study visit (Day 1)

  12. Fat-free mass

    Fat-free mass (FFM) measured by bioelectrical impedance analysis, compared between the metabolic syndrome group and the control group. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  13. Body Mass Index (BMI)

    Body mass index calculated as body mass in kilograms divided by the square of body height in metres, compared between the metabolic syndrome group and the control group. Reported in kg/m\^2.

    Time frame: At the single study visit (Day 1)

  14. Waist-to-Hip Ratio (WHR)

    Ratio of waist circumference to hip circumference, both measured in centimetres with an anthropometric tape, compared between the metabolic syndrome group and the control group. Reported as a ratio (unitless).

    Time frame: At the single study visit (Day 1)

  15. Waist-to-Height Ratio (WHtR)

    Ratio of waist circumference to body height, both measured in centimetres, compared between the metabolic syndrome group and the control group. Reported as a ratio (unitless).

    Time frame: At the single study visit (Day 1)

  16. A Body Shape Index (ABSI)

    ABSI calculated from waist circumference, body mass index and body height according to Krakauer and Krakauer, compared between the metabolic syndrome group and the control group. Reported as an index score. Higher values indicate greater central adiposity relative to body size.

    Time frame: At the single study visit (Day 1)

  17. Hip Index (HI)

    Hip Index calculated from hip circumference adjusted for body height and body mass, compared between the metabolic syndrome group and the control group. Reported as an index score.

    Time frame: At the single study visit (Day 1)

  18. Body Adiposity Index (BAI)

    BAI calculated from hip circumference and body height, compared between the metabolic syndrome group and the control group. Reported as estimated body fat expressed as a percentage of total body mass.

    Time frame: At the single study visit (Day 1)

  19. Visceral Adiposity Index (VAI)

    VAI calculated from waist circumference, body mass index, fasting triglycerides and HDL cholesterol using the sex-specific formula for women, compared between the metabolic syndrome group and the control group. Reported as an index score (unitless).

    Time frame: At the single study visit (Day 1)

  20. Lipid Accumulation Product (LAP)

    LAP calculated for women as (waist circumference in cm minus 58) multiplied by fasting triglycerides in mmol/L, compared between the metabolic syndrome group and the control group. Reported in cm x mmol/L.

    Time frame: At the single study visit (Day 1)

Other outcomes

  1. Physical activity level assessed by the International Physical Activity Questionnaire (IPAQ)

    Habitual physical activity assessed using the International Physical Activity Questionnaire, compared between the metabolic syndrome group and the control group. Reported as total physical activity in MET-minutes per week. Higher values indicate a higher level of physical activity.

    Time frame: At the single study visit (Day 1)

  2. Sleep quality

    Sleep quality assessed using the Pittsburgh Sleep Quality Index (PSQI). Global score range 0 to 21; higher scores indicate worse sleep quality, with a score above 5 indicating poor sleep quality.

    Time frame: At the single study visit (Day 1)

  3. Perceived stress level

    Perceived stress assessed using the 10-item Perceived Stress Scale (PSS-10). Score range 0 to 40; higher scores indicate higher perceived stress.

    Time frame: At the single study visit (Day 1)

  4. Daily energy intake

    Habitual daily energy intake assessed using a Food Frequency Questionnaire or the KomPAN questionnaire together with the Fitatu dietary application, compared between the metabolic syndrome group and the control group. Reported in kilocalories per day.

    Time frame: At the single study visit (Day 1)

  5. Health-related quality of life

    Health-related quality of life assessed using the Short Form-36 Health Survey (SF-36). Domain and summary scores range 0 to 100; higher scores indicate better perceived health.

    Time frame: At the single study visit (Day 1)

  6. Waist circumference

    Waist circumference measured with an anthropometric tape according to standard protocol, compared between the metabolic syndrome group and the control group. Reported in centimetres.

    Time frame: At the single study visit (Day 1)

  7. Abdominal circumference

    Abdominal circumference measured with an anthropometric tape at the level of the umbilicus, compared between the metabolic syndrome group and the control group. Reported in centimetres.

    Time frame: At the single study visit (Day 1)

  8. Hip circumference

    Hip circumference measured with an anthropometric tape at the level of the greatest gluteal protrusion, compared between the metabolic syndrome group and the control group. Reported in centimetres.

    Time frame: At the single study visit (Day 1)

  9. Body mass

    Body mass measured on a calibrated scale integrated with the bioelectrical impedance analyser, compared between groups. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  10. Target body mass

    Target body mass calculated by the bioelectrical impedance analyser from measured body composition, compared between groups. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  11. Fat mass

    Mass of body fat (MBF) measured by bioelectrical impedance analysis, compared between groups. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  12. Soft lean mass

    Soft lean mass (SLM) measured by bioelectrical impedance analysis, compared between groups. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  13. Skeletal muscle mass

    Skeletal muscle mass (SMM) measured by bioelectrical impedance analysis, compared between groups. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  14. Total body water

    Total body water (TBW) measured by bioelectrical impedance analysis, compared between groups. Reported as a percentage of total body mass.

    Time frame: At the single study visit (Day 1)

  15. Extracellular water ratio

    Ratio of extracellular water to total body water (ECW ratio) measured by bioelectrical impedance analysis, compared between groups. Reported as a ratio (unitless).

    Time frame: At the single study visit (Day 1)

  16. Body cell mass

    Body cell mass (BCM) measured by bioelectrical impedance analysis, compared between groups. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  17. Protein content

    Total body protein content measured by bioelectrical impedance analysis, compared between groups. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  18. Mineral content

    Total body mineral content measured by bioelectrical impedance analysis, compared between groups. Reported in kilograms.

    Time frame: At the single study visit (Day 1)

  19. Physical activity energy expenditure assessed by the 7-day Physical Activity Recall (7day-PAR)

    Physical activity energy expenditure over the preceding seven days assessed using the 7-day Physical Activity Recall interview, compared between the metabolic syndrome group and the control group. Reported as mean daily energy expenditure in kilocalories per day.

    Time frame: At the single study visit (Day 1)

  20. Macronutrient distribution of the diet

    Contribution of protein, fat and carbohydrate to total daily energy intake, assessed using a Food Frequency Questionnaire or the KomPAN questionnaire together with the Fitatu dietary application, compared between the metabolic syndrome group and the control group. Reported as a percentage of total daily energy intake for each macronutrient.

    Time frame: At the single study visit (Day 1)

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Study locations

1 of 1 sites recruiting
  • Institute of Medicine, University of Applied Sciences in Nowy Targ, Kokoszków 71, 34-400 Nowy Targ, Poland
    Nowy Targ, Lesser Poland Voivodeship 34-400, Poland
    Recruiting
    • Małgorzata Kantorowicz, Ph.D. · Contactmalgorzata.kantorowicz@ans-nt.edu.pl · +48 662 251 012
    • Kamil Opar, Master's degree · Contactkamil.opar@ans-nt.edu.pl · +48 603442732
    • Magdalena Więcek, Professor / Full Professor · Sub investigator
    • Małgorzata Kantorowicz, Ph. D. · Principal investigator
08

References and documents

Publications

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  • Chong B, Kong G, Shankar K, Chew HSJ, Lin C, Goh R, Chin YH, Tan DJH, Chan KE, Lim WH, Syn N, Chan SP, Wang JW, Khoo CM, Dimitriadis GK, Wijarnpreecha K, Sanyal A, Noureddin M, Siddiqui MS, Foo R, Mehta A, Figtree GA, Hausenloy DJ, Chan MY, Ng CH, Muthiah M, Mamas MA, Chew NWS. The global syndemic of metabolic diseases in the young adult population: A consortium of trends and projections from the Global Burden of Disease 2000-2019. Metabolism. 2023 Apr;141:155402. doi: 10.1016/j.metabol.2023.155402. Epub 2023 Jan 28. PubMed 36717058 ↗
  • Vishram JK, Borglykke A, Andreasen AH, Jeppesen J, Ibsen H, Jorgensen T, Palmieri L, Giampaoli S, Donfrancesco C, Kee F, Mancia G, Cesana G, Kuulasmaa K, Salomaa V, Sans S, Ferrieres J, Dallongeville J, Soderberg S, Arveiler D, Wagner A, Tunstall-Pedoe H, Drygas W, Olsen MH; MORGAM Project. Impact of age and gender on the prevalence and prognostic importance of the metabolic syndrome and its components in Europeans. The MORGAM Prospective Cohort Project. PLoS One. 2014 Sep 22;9(9):e107294. doi: 10.1371/journal.pone.0107294. eCollection 2014. PubMed 25244618 ↗
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Individual participant data

Plan to share: No — Individual participant data will not be made publicly available. Data are collected under informed consent that specifies use for scientific purposes following anonymization, and the consent does not cover open data sharing. Anonymized aggregate results will be published in a peer-reviewed scientific journal. Requests for anonymized data may be directed to the principal investigator and will be considered subject to approval by the sponsor institution and the bioethics committee.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 4, 2026
Show all 1 update
  1. Nov 4, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07917364
Lead sponsor
University of Applied Sciences in Nowy Targ
Collaborators
University of Physical Education in Krakow, Poland, Maj Institute of Pharmacology, Polish Academy of Sciences (CEPHARES), Poland
Responsible party
Małgorzata Kantorowicz (Ph.D., Assistant Professor, University of Applied Sciences in Nowy Targ) — Principal investigator
First posted
Nov 4, 2026
Start date
Nov 2026 (estimated)
Primary completion
Mar 2027 (estimated)
Completion
Mar 2027 (estimated)
Last update
Nov 4, 2026

Study contacts

Małgorzata Kantorowicz, Ph.D.
Contact
sknmedicus@ans-nt.edu.pl
+48 662 251 012
Maciej Filipowski, M.D.
Contact
ip@ans-nt.edu.pl
+48 (18) 26-10-726
Małgorzata Kantorowicz, Ph. D.
principal investigator · University of Applied Sciences in Nowy Targ

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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