Influence of Adiposity and Other Factors on the Gut Microbiota Composition

NCT05664321 | Completed

• 1 other identifier: KSU_Microbiota
• Study Type: observational
• Target: 92
• Locations: 1 country
• Sites: 1

Brief Summary

People who are overweight are getting more and more common in every region of the world. However, despite significant progress being made in the treatment options available for overweight, the worldwide incidence of overweight has not gone down, and the challenge of overweight has become a worrisome phenomenon of our times. Additionally, the process that underlie this illness and the etiological variables are not fully comprehended. As a result, it is absolutely necessary to determine the factors that contribute to obesity and define the responsibilities that each play. Researchers have devoted a significant portion of the better part of the last decade to studying the microbiota of the gut to determine whether or not it may play a factor in the development of obesity. Across spite of this, there is a paucity of accessible epidemiological data in Saudi Arabia. In addition, the relationship between the composition of the "gut microbiota" and obesity indices in youthful women of reproductive age is little understood. In view of this, we decided to conduct a case study utilizing whole-genome shotgun sequencing to compare the gut microbiota of obese women from Saudi Arabia with that of healthy control participants. Our findings shed light on the significance of the gut microbiota in obesity and provide useful insight into the creation of a method for the therapy of obesity by means of microbiota transfer of fecal, antibiotics, probiotics, and prebiotics. In addition, these data reveal prospective targets for guiding the selection of probiotic strains for the needed gut microbiota regulation in the obesity therapy.

Conditions

Obesity; Metabolic Syndrome

Keywords

gut microbiota; diet; inflammatory markers

Outcome Measures

Primary Outcomes (1)

• Correlations between gut flora by type of meat intake in total participants

  cross-sectional analysis

  Baseline

Study Arms (2)

Normal weight

Body mass index (BMI) between 18.50 and 24.99 kilograms per square meter

Other: Observational, case-control study

Obese

Body mass index (BMI) of more than 30 kilograms per square meter

Other: Observational, case-control study

Interventions

Observational, case-control study OTHER

obese \[(BMI ≥30 kg/m2), (n=44)\], and non-obese \[(BMI= 18.50-24.99 kg/m2), (n=48)\].

Also known as: Obese and normal weight

Normal weight; Obese

Eligibility Criteria

• Age: 18 Years - 25 Years
• Sex: female
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Probability Sample

Study Population

92 Saudi female students aged (18 to 25 years), classified into; obese \[(BMI ≥30 kg/m2), (n=44)\], and non-obese \[(BMI= 18.50-24.99 kg/m2), (n=48)\].

You may qualify if:

• Females
• to 25 years of age
• Normal weight: body mass index (BMI): 18.00-24.99 kg/m2
• Obese: BMI ≥ 30 kg/m2

You may not qualify if:

• Less than 18 years old or above 25 years
• Overweight (BMI); 25.0-29.9 kg/m2)
• Pregnant
• Following specific diets (e.g., calorie-restricted diets)
• Reported the presence of gastrointestinal diseases in the past eight weeks
• Endocrine or oncological disease history, psychiatric disorders, anorexia, other medical conditions
• Usage of multi-vitamins or vitamin B12 and antibiotics in the past 6 months

Sponsors & Collaborators

• King Saud University: lead

Study Sites (1)

Ghadeer Aljuraiban

Riyadh, 12444, Saudi Arabia

Location

Biospecimen

Retention: SAMPLES WITH DNA

the DNA was extracted from 0.25 g frozen stool aliquots by the QIAGEN PowerFecal DNA Kit (Catalogue: 12830-50). The purity of the isolated DNA (260/280 ratio) and concentration was measured utilizing a NanoDrop spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA).

MeSH Terms

Conditions

Obesity; Metabolic Syndrome

Interventions

Case-Control Studies; Adiposity

Condition Hierarchy (Ancestors)

Overweight; Overnutrition; Nutrition Disorders; Nutritional and Metabolic Diseases; Body Weight; Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Insulin Resistance; Hyperinsulinism; Glucose Metabolism Disorders; Metabolic Diseases

Intervention Hierarchy (Ancestors)

Epidemiologic Studies; Epidemiologic Study Characteristics; Epidemiologic Methods; Investigative Techniques; Health Care Evaluation Mechanisms; Quality of Health Care; Health Care Quality, Access, and Evaluation; Public Health; Environment and Public Health; Body Fat Distribution; Body Weights and Measures; Body Constitution; Physical Examination; Diagnostic Techniques and Procedures; Diagnosis; Body Composition; Biochemical Phenomena; Chemical Phenomena; Metabolism; Physiological Phenomena

Study Officials

• Ghadeer Aljuraiban, PhD

  KSU

  PRINCIPAL INVESTIGATOR

Study Design

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

Study Record Dates

• First Submitted: December 14, 2022
• First Posted: December 23, 2022
• Study Start: January 1, 2019
• Primary Completion: March 1, 2020
• Study Completion: December 1, 2021
• Last Updated: December 23, 2022

Record last verified: 2022-12

Data Sharing

• IPD Sharing: Will not share

Locations

SA (1)