- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06330727
Effects of Coffee Consumption on Metabolic Markers in Adults With Prediabetes and Obesity
Effects of Three-Month Coffee Consumption on Metabolic Biomarkers in Adults With Prediabetes and Obesity: a Randomized, Double-blind, Placebo-controlled Clinical Trial
Study Overview
Status
Conditions
Intervention / Treatment
Detailed 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:
- 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).
- 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.
- 2-week continuous glucose measurement using blinded continuous glucose monitor/sensor on upper arm.
- 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).
- 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.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Jun Wang, M.D.,phD.
- Phone Number: 8613382079966
- Email: wangjun868@126.com
Study Contact Backup
- Name: Lin Li, PhD.
- Phone Number: 8615380998768
- Email: guobaolimu@126.com
Study Locations
-
-
Jiangsu
-
Nanjing, Jiangsu, China, 210006
- Recruiting
- Nanjing First Hospital
-
Contact:
- Lin Li, PhD.
- Phone Number: 8615380998768
- Email: guobaolimu@126.com
-
Contact:
- Jun Wang, M.D., PhD.
- Phone Number: 8613382079966
- Email: wangjun868@163.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Age between 18 and 59 years old;
- 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);
- Body mass index ( BMI ) ≥ 28kg/m2;
- No coffee intake in the past month;
- Provide written informed consent and be willing to participate.
Exclusion Criteria:
- Patients with diagnosis of diabetes, or taking anti-diabetic medication;
- Patients with cardiovascular or cerebrovascular diseases, cancer, renal disease, liver disease, other chronic diseases affecting glucose and lipid metabolism, etc;
- Participants with known hypersensitivity or intolerance to coffee, or unwilling to accept coffee;
- Pregnancy, planned pregnancy, or lactation;
- Investigators, for any reason, consider the participants inappropriate for the study (e.g., uncontrolled bipolar disease).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Active Comparator: Coffee capsule
participants in this arm ingest coffee capsules with 1.8g instant black coffee powder twice daily with breakfast and lunch.
|
Take 12 coffee capsules containing 3.6 g instant black coffee powder per day (take 6 coffee capsules twice daily with breakfast and lunch).
Other Names:
|
Placebo Comparator: Placebo
participants in this arm consume cornstarch capsules (without coffee) twice daily with breakfast and lunch.
|
Take 12 placebo capsules containing 3.6 g corn starch per day (take 6 placebo capsules twice daily with breakfast and lunch).
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Continuous glucose monitoring parameters
Time Frame: at baseline, after three-month intervention
|
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
|
glucose from a 75 g-oral glucose tolerance test (mmol/L)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
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
|
insulin from a 75 g-oral glucose tolerance test (pmol/L)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
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
|
C-peptide from a 75 g-oral glucose tolerance test (ng/ml)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
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
|
glucagon from a 75 g-oral glucose tolerance test(pmol/L)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
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
|
Glycated hemoglobin (HbA1c) ( % )
Time Frame: at baseline, after three-month intervention
|
Reflect the levels of blood sugar in the past two to three months.
|
at baseline, after three-month intervention
|
Fasting total cholesterol (mmol/L)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Serum total cholesterol concentrations under fasting conditions.
|
at baseline, after one-month intervention, after three-month intervention
|
Fasting high-density lipoprotein-cholesterol (mmol/L)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Serum high-density lipoprotein-cholesterol (HDL-C) concentrations under fasting conditions.
|
at baseline, after one-month intervention, after three-month intervention
|
Fasting low-density lipoprotein-cholesterol (mmol/L)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Serum low-density lipoprotein-cholesterol ( LDL-C) concentrations under fasting conditions.
|
at baseline, after one-month intervention, after three-month intervention
|
Fasting triglycerides (mmol/L)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Serum triglycerides concentrations under fasting conditions.
|
at baseline, after one-month intervention, after three-month intervention
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
C-reactive protein
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Serum levels of inflammatory factors: high-sensitivity C-reactive protein (CRP).
|
at baseline, after one-month intervention, after three-month intervention
|
Interleukin-6
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Serum levels of inflammatory factors: interleukin-6 (IL-6).
|
at baseline, after one-month intervention, after three-month intervention
|
Body mass index ( kg/m^2)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Calculation of body mass index (BMI) using body weight and height.
|
at baseline, after one-month intervention, after three-month intervention
|
Fat mass (FM)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Assessed using an InBody bioelectrical impedance analyzer.
|
at baseline, after one-month intervention, after three-month intervention
|
body fat percentage (BF)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Assessed using an InBody bioelectrical impedance analyzer.
|
at baseline, after one-month intervention, after three-month intervention
|
visceral fat
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Assessed using an InBody bioelectrical impedance analyzer.
|
at baseline, after one-month intervention, after three-month intervention
|
skeletal muscle mass (SMM)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Assessed using an InBody bioelectrical impedance analyzer.
|
at baseline, after one-month intervention, after three-month intervention
|
fat-free mass (FFM)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Assessed using an InBody bioelectrical impedance analyzer.
|
at baseline, after one-month intervention, after three-month intervention
|
Adiponectin
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
high-molecular-weight adiponectin
|
at baseline, after one-month intervention, after three-month intervention
|
Systolic blood pressure(mmHg)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
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
|
Diastolic blood pressure(mmHg)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
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
|
Heart rate (bpm)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
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
|
Controlled attenuation parameter (CAP)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
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
|
Standard deviation of heart rate variability (SDNN)
Time Frame: at baseline, after one-month intervention, after three-month intervention
|
Heart Rhythm Variation Analysis.
|
at baseline, after one-month intervention, after three-month intervention
|
Collaborators and Investigators
Investigators
- Principal Investigator: Jun Wang, M.D.,phD., Health Management Center of Nanjing First Hospital
Publications and helpful links
General Publications
- 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.
- 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.
- Ding M, Bhupathiraju SN, Chen M, van Dam RM, Hu FB. Caffeinated and decaffeinated coffee consumption and risk of type 2 diabetes: a systematic review and a dose-response meta-analysis. Diabetes Care. 2014 Feb;37(2):569-86. doi: 10.2337/dc13-1203.
- 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.
- 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.
- Magis D, Geronooz I, Scheen AJ. [Smoking, insulin resistance and type 2 diabetes]. Rev Med Liege. 2002 Sep;57(9):575-81. French.
- 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.
- 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.
- 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.
- Bae JM. Coffee consumption and risk of type 2 diabetes mellitus in Asians: A meta-epidemiological study of population-based cohort studies. World J Diabetes. 2021 Jun 15;12(6):908-915. doi: 10.4239/wjd.v12.i6.908.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- KY20231109-09
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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