The importance of personalized bariatric management in Tehran Obesity Treatment Study (TOTS)

  • سال انتشار: 1397
  • محل انتشار: سومین کنگره بین المللی پزشکی شخصی ایران
  • کد COI اختصاصی: IPMCMED03_101
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 475
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نویسندگان

Maryam Barzin

(MD, PhD), Main investigator in Tehran Obesity Treatment Study

چکیده

Bariatric surgery has emerged as the most effective strategy to treat obesity and its associated comorbidities. Every year, about 500,000 bariatric surgical procedures are performed worldwide; sleeve gastrectomy (SG, 49%) and Roux-en Y gastric bypass procedure (RYGB, 43%) are the most commonly performed techniques. Long-term excess body weight reduction is a major goal of bariatric surgery. Excess weight loss is various in different techniques and different individuals. Despite these variations, weight regain; that is, recovery of 10 to 20% of the minimum weight achieved by the patient, occurs in between 30% and 50% of the patients at the late postoperative period (between 2 years after the surgical procedure).In the last decades, many efforts have been made to understand the variations in inter-individual responses to the same obesity treatment strategy. Genetic variation among individuals underlies the variety of physiological responses in the same environment and explains why some individuals are more likely to gain/lose weight than others in the same environmental conditions, after bariatric surgery. Different surgical techniques (restrictive, mal-absorptive, or a combination of both) and genetic background account for the wide variation in responses to bariatric surgery. The Tehran Obesity Treatment Study (TOTS) is an ongoing prospective cohort of patients with morbid obesity who undergo bariatric surgery, mainly SG (66%) or one of two types of GB procedures, Roux-en-Y or mini-gastric bypass (34%). More than 3000 patients aged 15–65 years with morbid obesity class II or III (BMI ≥35 kg/m2) presenting to our bariatric center from March 2013 were evaluated. Their information including pre-operation status and long term follow up were collected in our data base. Deep whole genome sequencing and chip-type genotyping were done and prepare a good infrastructure for further analysis.

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