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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT06330727
Other study ID # KY20231109-09
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date February 5, 2024
Est. completion date October 2024

Study information

Verified date March 2024
Source Nanjing First Hospital, Nanjing Medical University
Contact Jun Wang, M.D.,phD.
Phone 8613382079966
Email wangjun868@126.com
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Epidemiological studies have shown an inverse association between coffee consumption and risk of type 2 diabetes. However, the randomized controlled trials in prediabetes are limited to evaluate the effects of coffee. The purpose of this study is to investigate the effects of coffee on metabolic factors and inflammation in individuals with prediabetes and obesity. A double-blind, randomized controlled trial is designed to explore the effects of coffee consumption on participants with prediabetes and obesity. A total of 100 eligible participants with prediabetes and obesity will be recruited from the Health Management Center of Nanjing First Hospital. These participants are randomly assigned in a 1:1 ratio to either the coffee capsule group or the control group. The coffee capsule group will be instructed to consume 3.6 g of coffee capsules per day (0.3 g per capsule, 6 capsules per serving, twice a day, once in the morning and once in the middle of the day). The control group will be asked to consume 3.6 g of cornstarch capsules (0.3 g per capsule, 6 capsules per serving, twice a day, once in the morning and once in the middle of the day). 75 g oral glucose tolerance test, 2-week blinded continuous glucose measurement and others will be performed before and after the 3-month intervention. During the three months of intervention, the information on dietary intake, physical activity and sleep of participants will be systematically collected. To comprehensively assess the impact of coffee intake on prediabetes and obesity, we will analyze the effects of coffee capsules on various metabolic and inflammatory markers, including glucose metabolism, lipid profiles, blood pressure, adiponectin, high sensitivity C-reactive protein, interleukin-6, body mass index, body composition, the degree of hepatic steatosis and so on. We will further adjust for potential confounding factors such as lifestyle factors to better understand the underlying biological mechanisms driving this association.


Description:

Participants with both prediabetes and obesity who undergo physical examinations at the Health Management Center of Nanjing First Hospital will be recruited for this study. The details of this study design are as follows: 1. Inclusion and exclusion criteria for participants. Inclusion criteria are as follows: 1) Age between 18 and 59 years old; 2) Body mass index (BMI) ≥ 28 kg/m2; 3) No consumption of coffee in the past month; 4) Provide written informed consent; 5) Abnormal glucose tolerance, as per the 1999 WHO diagnostic criteria for prediabetes, includes impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or a combination of both, with blood glucose fluctuations within an abnormal range (fasting blood glucose ≥6.1 mmol/L but <7.0 mmol/L, and/or 2-hour glucose tolerance blood glucose ≥7.8 mmol/L but <11.1 mmol/L). The exclusion criteria for participants include individuals who 1) have been diagnosed with diabetes or are taking anti-diabetic drugs; 2) have a history of diseases such as cancer, liver and kidney dysfunction, existing cardiovascular and cerebrovascular diseases, and other diseases that may affect glucose and lipid metabolism; 3) self-report gastrointestinal reaction or intolerance to coffee and reject coffee consumption; 4) are pregnant or planning to become pregnant in the near future; 5) are deemed unsuitable to participate in this study by researcher believes that they are not to participate in this study. 2. Sample size calculation: Based on the estimation of research purpose, research design, expected effect size, and statistical analysis method, the sample size is determined to be 100 cases, including fifty cases in the intervention group and fifty cases in the control group. 3. Definition of the intervention group and placebo group: the intervention group serves as the coffee capsule group, and will receive 3.6 g of coffee capsules per day (0.3 g/capsule, 6 capsules/time, 2 times/day, once in the morning and once in the middle of the day). The placebo group (control group) is required to consume 3.6 g of cornstarch capsules per day (0.3 g/capsule, 6 capsules/time, 2 times/day, once in the morning and once in the middle of the day). 4. Follow-up and data collection: this follow-up period will span three months. Before and after the 3-month intervention the participants will partake in: 1. regular assessments. Demographic characteristics and medical information will be collected, including age, gender, occupation, education level, income, medication history (hormones, contraceptives, etc.), and family history of chronic diseases. Besides, using questionnaires, we also collect lifestyle information such as smoking, drinking, diet intake, physical activity, and sleep of participants. Specifically, the Simplified Food Frequency Questionnaire (FFQ25) and 24-hour Diet Record Questionnaire (DR) are employed to assess the dietary intake of participants in the past six months and the previous 24 hours (one day each in the middle of the week and on the weekend), respectively. International Physical Activity Questionnaire (IPAQ) is utilized to assess various aspects of physical activity, including time, frequency, and intensity. The sleep information (sleep time, sleep quality, etc.) is evaluated by Pittsburgh sleep quality index (PSQI). 2. A 75 g oral glucose tolerance test (75 g-OGTT). Blood samples are taken fasting and 30, 120 minutes after the glucose load. Blood samples are analyzed for glucose, insulin, C-peptide, and glucagon. 3. 2-week continuous glucose measurement using blinded continuous glucose monitor/sensor on upper arm. 4. Fasting blood samples: glycated hemoglobin (HbA1c), total cholesterol, high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides, high sensitivity C-reactive protein (CRP), interleukin 6 (IL-6). 5. Furthermore, blood pressure, transient hepatic elastography for the assessment of fatty liver degree, body composition analysis, and heart rhythm variation analysis are collected using corresponding instrument and equipment inspection. Additionally, blood, urine, and stool samples will be collected for further analysis.


Recruitment information / eligibility

Status Recruiting
Enrollment 100
Est. completion date October 2024
Est. primary completion date October 2024
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 59 Years
Eligibility Inclusion Criteria: 1. Age between 18 and 59 years old; 2. Diagnosis of Prediabetes according to the WHO criteria (fasting glucose=6.1-6.9 mmol/L and/or 2-hour post-OGTT glucose=7.8- 11.0 mmol/L); 3. Body mass index ( BMI ) = 28kg/m2; 4. No coffee intake in the past month; 5. Provide written informed consent and be willing to participate. Exclusion Criteria: 1. Patients with diagnosis of diabetes, or taking anti-diabetic medication; 2. Patients with cardiovascular or cerebrovascular diseases, cancer, renal disease, liver disease, other chronic diseases affecting glucose and lipid metabolism, etc; 3. Participants with known hypersensitivity or intolerance to coffee, or unwilling to accept coffee; 4. Pregnancy, planned pregnancy, or lactation; 5. Investigators, for any reason, consider the participants inappropriate for the study (e.g., uncontrolled bipolar disease).

Study Design


Related Conditions & MeSH terms


Intervention

Dietary Supplement:
Coffee capsule
Take 12 coffee capsules containing 3.6 g instant black coffee powder per day (take 6 coffee capsules twice daily with breakfast and lunch).
Corn starch capsule
Take 12 placebo capsules containing 3.6 g corn starch per day (take 6 placebo capsules twice daily with breakfast and lunch).

Locations

Country Name City State
China Nanjing First Hospital Nanjing Jiangsu

Sponsors (1)

Lead Sponsor Collaborator
Nanjing First Hospital, Nanjing Medical University

Country where clinical trial is conducted

China, 

References & Publications (29)

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Bellou V, Belbasis L, Tzoulaki I, Evangelou E. Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses. PLoS One. 2018 Mar 20;13(3):e0194127. doi: 10.1371/journal.pone.0194127. eCollection 2018. — View Citation

Bhupathiraju SN, Pan A, Manson JE, Willett WC, van Dam RM, Hu FB. Changes in coffee intake and subsequent risk of type 2 diabetes: three large cohorts of US men and women. Diabetologia. 2014 Jul;57(7):1346-54. doi: 10.1007/s00125-014-3235-7. Epub 2014 Apr 26. — View Citation

Bidel S, Silventoinen K, Hu G, Lee DH, Kaprio J, Tuomilehto J. Coffee consumption, serum gamma-glutamyltransferase and risk of type II diabetes. Eur J Clin Nutr. 2008 Feb;62(2):178-85. doi: 10.1038/sj.ejcn.1602712. Epub 2007 Mar 7. — View Citation

Carlstrom M, Larsson SC. Coffee consumption and reduced risk of developing type 2 diabetes: a systematic review with meta-analysis. Nutr Rev. 2018 Jun 1;76(6):395-417. doi: 10.1093/nutrit/nuy014. — View Citation

Di Maso M, Boffetta P, Negri E, La Vecchia C, Bravi F. Caffeinated Coffee Consumption and Health Outcomes in the US Population: A Dose-Response Meta-Analysis and Estimation of Disease Cases and Deaths Avoided. Adv Nutr. 2021 Jul 30;12(4):1160-1176. doi: 10.1093/advances/nmaa177. — View Citation

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Ding M, Satija A, Bhupathiraju SN, Hu Y, Sun Q, Han J, Lopez-Garcia E, Willett W, van Dam RM, Hu FB. Association of Coffee Consumption With Total and Cause-Specific Mortality in 3 Large Prospective Cohorts. Circulation. 2015 Dec 15;132(24):2305-15. doi: 10.1161/CIRCULATIONAHA.115.017341. Epub 2015 Nov 16. — View Citation

Doo T, Morimoto Y, Steinbrecher A, Kolonel LN, Maskarinec G. Coffee intake and risk of type 2 diabetes: the Multiethnic Cohort. Public Health Nutr. 2014 Jun;17(6):1328-36. doi: 10.1017/S1368980013000487. Epub 2013 Feb 27. — View Citation

Greenberg JA, Axen KV, Schnoll R, Boozer CN. Coffee, tea and diabetes: the role of weight loss and caffeine. Int J Obes (Lond). 2005 Sep;29(9):1121-9. doi: 10.1038/sj.ijo.0802999. — View Citation

Greenberg JA, Boozer CN, Geliebter A. Coffee, diabetes, and weight control. Am J Clin Nutr. 2006 Oct;84(4):682-93. doi: 10.1093/ajcn/84.4.682. — View Citation

Grosso G, Godos J, Galvano F, Giovannucci EL. Coffee, Caffeine, and Health Outcomes: An Umbrella Review. Annu Rev Nutr. 2017 Aug 21;37:131-156. doi: 10.1146/annurev-nutr-071816-064941. — View Citation

Hang D, Kvaerner AS, Ma W, Hu Y, Tabung FK, Nan H, Hu Z, Shen H, Mucci LA, Chan AT, Giovannucci EL, Song M. Coffee consumption and plasma biomarkers of metabolic and inflammatory pathways in US health professionals. Am J Clin Nutr. 2019 Mar 1;109(3):635-647. doi: 10.1093/ajcn/nqy295. — View Citation

Higdon JV, Frei B. Coffee and health: a review of recent human research. Crit Rev Food Sci Nutr. 2006;46(2):101-23. doi: 10.1080/10408390500400009. — View Citation

Iso H, Date C, Wakai K, Fukui M, Tamakoshi A; JACC Study Group. The relationship between green tea and total caffeine intake and risk for self-reported type 2 diabetes among Japanese adults. Ann Intern Med. 2006 Apr 18;144(8):554-62. doi: 10.7326/0003-4819-144-8-200604180-00005. — View Citation

Karabegovic I, Portilla-Fernandez E, Li Y, Ma J, Maas SCE, Sun D, Hu EA, Kuhnel B, Zhang Y, Ambatipudi S, Fiorito G, Huang J, Castillo-Fernandez JE, Wiggins KL, de Klein N, Grioni S, Swenson BR, Polidoro S, Treur JL, Cuenin C, Tsai PC, Costeira R, Chajes V, Braun K, Verweij N, Kretschmer A, Franke L, van Meurs JBJ, Uitterlinden AG, de Knegt RJ, Ikram MA, Dehghan A, Peters A, Schottker B, Gharib SA, Sotoodehnia N, Bell JT, Elliott P, Vineis P, Relton C, Herceg Z, Brenner H, Waldenberger M, Rebholz CM, Voortman T, Pan Q, Fornage M, Levy D, Kayser M, Ghanbari M. Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption. Nat Commun. 2021 May 14;12(1):2830. doi: 10.1038/s41467-021-22752-6. — View Citation

Kondo Y, Goto A, Noma H, Iso H, Hayashi K, Noda M. Effects of Coffee and Tea Consumption on Glucose Metabolism: A Systematic Review and Network Meta-Analysis. Nutrients. 2018 Dec 27;11(1):48. doi: 10.3390/nu11010048. — View Citation

Magis D, Geronooz I, Scheen AJ. [Smoking, insulin resistance and type 2 diabetes]. Rev Med Liege. 2002 Sep;57(9):575-81. French. — View Citation

Martini D, Del Bo' C, Tassotti M, Riso P, Del Rio D, Brighenti F, Porrini M. Coffee Consumption and Oxidative Stress: A Review of Human Intervention Studies. Molecules. 2016 Jul 28;21(8):979. doi: 10.3390/molecules21080979. — View Citation

Osama H, Abdelrahman MA, Madney YM, Harb HS, Saeed H, Abdelrahim MEA. Coffee and type 2 diabetes risk: Is the association mediated by adiponectin, leptin, c-reactive protein or Interleukin-6? A systematic review and meta-analysis. Int J Clin Pract. 2021 Jun;75(6):e13983. doi: 10.1111/ijcp.13983. Epub 2021 Jan 21. — View Citation

Pan MH, Tung YC, Yang G, Li S, Ho CT. Molecular mechanisms of the anti-obesity effect of bioactive compounds in tea and coffee. Food Funct. 2016 Nov 9;7(11):4481-4491. doi: 10.1039/c6fo01168c. — View Citation

Poole R, Kennedy OJ, Roderick P, Fallowfield JA, Hayes PC, Parkes J. Coffee consumption and health: umbrella review of meta-analyses of multiple health outcomes. BMJ. 2017 Nov 22;359:j5024. doi: 10.1136/bmj.j5024. Erratum In: BMJ. 2018 Jan 12;360:k194. — View Citation

Scheen AJ, Letiexhe MR, Ernest P. [Prevention of type 2 diabetes: lifestyle changes or pharmacological interventions?]. Rev Med Liege. 2003 Apr;58(4):206-10. French. — View Citation

Schulze MB, Hu FB. Primary prevention of diabetes: what can be done and how much can be prevented? Annu Rev Public Health. 2005;26:445-67. doi: 10.1146/annurev.publhealth.26.021304.144532. — View Citation

Shahinfar H, Jayedi A, Khan TA, Shab-Bidar S. Coffee consumption and cardiovascular diseases and mortality in patients with type 2 diabetes: A systematic review and dose-response meta-analysis of cohort studies. Nutr Metab Cardiovasc Dis. 2021 Aug 26;31(9):2526-2538. doi: 10.1016/j.numecd.2021.05.014. Epub 2021 May 24. — View Citation

Shang F, Li X, Jiang X. Coffee consumption and risk of the metabolic syndrome: A meta-analysis. Diabetes Metab. 2016 Apr;42(2):80-7. doi: 10.1016/j.diabet.2015.09.001. Epub 2015 Oct 1. — View Citation

Shi X, Xue W, Liang S, Zhao J, Zhang X. Acute caffeine ingestion reduces insulin sensitivity in healthy subjects: a systematic review and meta-analysis. Nutr J. 2016 Dec 28;15(1):103. doi: 10.1186/s12937-016-0220-7. — View Citation

van Dam RM, Feskens EJ. Coffee consumption and risk of type 2 diabetes mellitus. Lancet. 2002 Nov 9;360(9344):1477-8. doi: 10.1016/S0140-6736(02)11436-X. — View Citation

van Dam RM. Coffee and type 2 diabetes: from beans to beta-cells. Nutr Metab Cardiovasc Dis. 2006 Jan;16(1):69-77. doi: 10.1016/j.numecd.2005.10.003. Epub 2005 Dec 13. — View Citation

* Note: There are 29 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Continuous glucose monitoring parameters 14 days blinded intermittent-scanned continuous glucose monitoring (CGM): the FreeStyle Libre Pro system is utilized to record glycemic data, with the readout of the device exclusively performed by researchers. During the day, participants will be blinded to their glucose values. at baseline, after three-month intervention
Primary glucose from a 75 g-oral glucose tolerance test (mmol/L) Blood samples will be drawn at time points 0 min, 30 min, 120 min for glucose measurements during a 75 g-oral glucose tolerance test (75 g-OGTT).
Incremental glucose area under the curve (gAUC) will be calculated using the trapezoidal method.
at baseline, after one-month intervention, after three-month intervention
Primary insulin from a 75 g-oral glucose tolerance test (pmol/L) Blood samples will be drawn at time points 0 min, 30 min, 120 min for insulin measurements during a 75 g-oral glucose tolerance test (75 g-OGTT).
Incremental insulin area under the curve (iAUC) will be calculated using the trapezoidal method.
at baseline, after one-month intervention, after three-month intervention
Primary C-peptide from a 75 g-oral glucose tolerance test (ng/ml) Blood samples will be drawn at time points 0 min, 30 min, 120 min for C-peptide measurements during a 75 g-oral glucose tolerance test (75 g-OGTT). at baseline, after one-month intervention, after three-month intervention
Primary glucagon from a 75 g-oral glucose tolerance test(pmol/L) Blood samples will be drawn at time points 0 min, 30 min, 120 min for glucagon measurements during a 75 g-oral glucose tolerance test (75 g-OGTT). at baseline, after one-month intervention, after three-month intervention
Primary Glycated hemoglobin (HbA1c) ( % ) Reflect the levels of blood sugar in the past two to three months. at baseline, after three-month intervention
Primary Fasting total cholesterol (mmol/L) Serum total cholesterol concentrations under fasting conditions. at baseline, after one-month intervention, after three-month intervention
Primary Fasting high-density lipoprotein-cholesterol (mmol/L) Serum high-density lipoprotein-cholesterol (HDL-C) concentrations under fasting conditions. at baseline, after one-month intervention, after three-month intervention
Primary Fasting low-density lipoprotein-cholesterol (mmol/L) Serum low-density lipoprotein-cholesterol ( LDL-C) concentrations under fasting conditions. at baseline, after one-month intervention, after three-month intervention
Primary Fasting triglycerides (mmol/L) Serum triglycerides concentrations under fasting conditions. at baseline, after one-month intervention, after three-month intervention
Secondary C-reactive protein Serum levels of inflammatory factors: high-sensitivity C-reactive protein (CRP). at baseline, after one-month intervention, after three-month intervention
Secondary Interleukin-6 Serum levels of inflammatory factors: interleukin-6 (IL-6). at baseline, after one-month intervention, after three-month intervention
Secondary Body mass index ( kg/m^2) Calculation of body mass index (BMI) using body weight and height. at baseline, after one-month intervention, after three-month intervention
Secondary Fat mass (FM) Assessed using an InBody bioelectrical impedance analyzer. at baseline, after one-month intervention, after three-month intervention
Secondary body fat percentage (BF) Assessed using an InBody bioelectrical impedance analyzer. at baseline, after one-month intervention, after three-month intervention
Secondary visceral fat Assessed using an InBody bioelectrical impedance analyzer. at baseline, after one-month intervention, after three-month intervention
Secondary skeletal muscle mass (SMM) Assessed using an InBody bioelectrical impedance analyzer. at baseline, after one-month intervention, after three-month intervention
Secondary fat-free mass (FFM) Assessed using an InBody bioelectrical impedance analyzer. at baseline, after one-month intervention, after three-month intervention
Secondary Adiponectin high-molecular-weight adiponectin at baseline, after one-month intervention, after three-month intervention
Secondary Systolic blood pressure(mmHg) After 20 min of rest, blood pressure will be measured between 8:00 and 9:00 in the morning by an experienced nurse and the average of three consecutive measurements will be recorded. at baseline, after one-month intervention, after three-month intervention
Secondary Diastolic blood pressure(mmHg) After 20 min of rest, blood pressure will be measured between 8:00 and 9:00 in the morning by an experienced nurse and the average of three consecutive measurements will be recorded. at baseline, after one-month intervention, after three-month intervention
Secondary Heart rate (bpm) After 20 min of rest, heart rate will be measured between 8:00 and 9:00 in the morning by an experienced nurse and the average of three consecutive measurements will be recorded. at baseline, after one-month intervention, after three-month intervention
Secondary Controlled attenuation parameter (CAP) Controlled attenuation parameter (CAP) by transient hepatic elastography (THE) assesses the degree of hepatic steatosis. at baseline, after one-month intervention, after three-month intervention
Secondary Standard deviation of heart rate variability (SDNN) Heart Rhythm Variation Analysis. at baseline, after one-month intervention, after three-month intervention
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