Disclosures

Did you receive any funding to support your research for this TOPIC?
No

Were you provided with any honoraria, payment or other compensation for your work on this study?
No

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
No

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work was not supported by any direct or non direct funding. It is under the author's own responsability

Disclosures

Did you receive any funding to support your research for this TOPIC?
No

Were you provided with any honoraria, payment or other compensation for your work on this study?
No

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
No

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work was not supported by any direct or non direct funding. It is under the author's own responsability

Objectives: - Understand the role of specific genetic markers, such as FTO, MCM6, and MC4R, in influencing BMI and weight loss outcomes.
- Explore the genetic factors that predict responses to dietary, endoscopic, and surgical weight loss interventions.
- Highlight the potential of genetic profiling in designing personalised strategies for improved health and aesthetic results, advancing the application of precision medicine in obesity management.

Introduction: Obesity, a multifactorial condition, presents significant challenges to health and aesthetics. Genetic factors are increasingly recognised for their role in influencing obesity risk and treatment outcomes. This study examines the impact of genetic profiling using a panel of single nucleotide polymorphisms (SNPs) to predict Body Mass Index (BMI) and weight loss responses across various interventions. The findings aim to advance personalised strategies that enhance health outcomes and aesthetic satisfaction.

Materials / method: A cohort of 9,372 patients was assessed for correlations between genetic markers and BMI, while 474 patients were evaluated for their response to weight loss interventions, including dietary plans, intragastric balloon procedures, and bariatric surgery. Key SNPs, such as rs9939609 (FTO), rs4988235 (MCM6), and rs2016520 (PPAR-Delta), were analysed for their impact on weight loss efficacy across treatments.

Results: SNPs like rs9939609 (FTO) and rs4988235 (MCM6) were strongly associated with higher BMI. Weight loss outcomes were significantly influenced by SNPs, with rs6544713 (ABCG8) correlating with dietary success, and MC4R-related SNPs predicting outcomes for surgical and endoscopic procedures. Personalised treatment plans based on genetic profiles demonstrated improved weight loss efficacy and enhanced patient satisfaction with aesthetic outcomes.

Conclusion: Genetic profiling reveals critical insights into obesity risk and weight loss responses, enabling the design of personalised interventions. By integrating genetic data into clinical practice, practitioners can optimise health outcomes and aesthetic satisfaction, marking a significant advancement in precision medicine for weight loss management.

Disclosures

Did you receive any funding to support your research for this TOPIC?
No

Were you provided with any honoraria, payment or other compensation for your work on this study?
No

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
No

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work was not supported by any direct or non direct funding. It is under the author's own responsability

Objectives: This study aims to demonstrate a minimally invasive approach to lipoabdominoplasty, assessing the benefits of robotic technology in the treatment of the muscular layer.

Introduction: In recent years, robotic surgery has expanded beyond traditional applications and is now emerging in aesthetic surgery. A significant advancement in this field is the development of the Minimally Invasive Robotic Endoscopic Lipoabdominoplasty (M.I.R.E.L.A.) technique, which builds upon the principles of the Minimally Invasive Laparoscopic Abdominoplasty (M.I.L.A.). Unlike M.I.L.A., which employs laparoscopic technology, M.I.R.E.L.A. integrates robotic-assisted surgery for the correction of rectus abdominis diastasis. This approach aims to enhance surgical precision while offering postoperative

Materials / method: A cross-sectional quantitative study was conducted through the evaluation of 20 patients who sought correction of diastasis via robotic surgery at the Sanfurgo Clinic in São Paulo, from July 2023 to June 2024.

Results: Out of the 20 patients, 19 had a history of previous pregnancies (95%). Additionally, 65% had an umbilical hernia, which was repaired during the procedure. 90% had a body mass index within normal limits, and 95% had a preoperative body fat percentage greater than 18%.

Conclusion: The findings provide valuable insights into the role of robotic surgery in plastic surgery, particularly for rectus abdominis diastasis correction, an area with limited existing literature. This technique shows potential for delivering optimal postoperative outcomes for patients while supporting the adaptation and skill development of plastic surgeons in this emerging field.

Disclosures

Did you receive any funding to support your research for this TOPIC?
No

Were you provided with any honoraria, payment or other compensation for your work on this study?
No

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
No

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work was not supported by any direct or non direct funding. It is under the author's own responsability

Disclosures

Did you receive any funding to support your research for this TOPIC?
No

Were you provided with any honoraria, payment or other compensation for your work on this study?
No

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
No

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work was not supported by any direct or non direct funding. It is under the author's own responsability