Risk Factors for Obesity

is a complex disease that is influenced by many factors, such as unhealthy eating habits, chronic stress, and genetics. Lifestyle factors such as unhealthy eating habits, lack of exercise, and poor sleep patterns are some of the important reasons for the development of obesity. Chronic stress affects the brain to produce high levels of hormones such as cortisol, which regulate energy balance and hunger, thereby inducing obesity. Some medications such as corticosteroids, antidepressants, and antipsychotics cause significant weight gain. Certain genes may increase weight by affecting metabolism, appetite, and fat storage, such as Bardet-Biedl syndrome and Prader-Willi syndrome. In the fight against obesity, finding its root cause is crucial for effective intervention and treatment. At Protheragen, we use professional analytical methods to determine the factors such as genetic factors, disease factors, and medication factors that contribute to obesity. Understanding these factors is essential to developing personalized treatment plans and advancing scientific research by targeting specific Targets.

Unlocking the Science Behind Obesity: Genetic, Disease, and Medication Insights

At Protheragen, our obesity causation analysis delves into the multifaceted factors that contribute to obesity, focusing on genetically induced, disease-induced, and medication-induced pathways. Our expert team conducts thorough analyses using cutting-edge technologies and innovative models to identify specific genetic mutations, assess metabolic disorders associated with disease, and evaluate the effects of medications on weight gain. Our services are designed to provide personalized insights and actionable recommendations to help researchers analyze the causes of disease and develop Targeted Therapies.

Genetically Induced Obesity Analysis Service

Our common genetic analysis methods include but are not limited to:

• NGS: NGS sequences millions of DNA fragments simultaneously, allowing for the analysis of multiple genes associated with obesity in a cost-effective method.
• Sanger sequencing: Sanger sequencing is widely used to validate NGS results or sequence small genomes, providing high accuracy for sequencing single genes or specific regions of interest.
• Genotyping arrays: Genotyping arrays are used to detect known genetic variants associated with obesity and analyze hundreds of thousands of SNPs simultaneously, providing valuable information about genetic predispositions.
• qPCR: qPCR is used to quantify the amount of specific DNA sequences in a sample and is used to validate sequencing results or measure the expression levels of genes associated with obesity.

Obesity Causation Analysis Service of Disease-Induced Obesity

To deeply study various diseases and their impact on obesity, Protheragen has developed a comprehensive solution from the perspectives of genomics, metabolomics, and lipidomics. By collecting information on potential genetic tendencies and metabolic abnormalities that lead to obesity and combining sophisticated statistical and bioinformatics tools to analyze the complex interactions between disease components and obesity. This holistic approach ensures the accurate identification of pathogenic factors, thereby providing reference information for the development of targeted therapies. We provide the following disease-induced obesity analysis services.

Our commonly used testing methods are as follows:

• Genomics: Identification of mutations or polymorphisms associated with metabolic disorders in obesity through genetic screening and sequencing.
• Metabolomics: Evaluation of obesity-related metabolites in samples such as serum, plasma, saliva, urine, and tissues through non-targeted and targeted approaches. This helps identify biomarkers and metabolic pathways that are altered in disease-induced obesity.
• Lipidomics: High-throughput technologies of lipidomics to quantify various lipid molecules such as acylglycerols, sterols, and sphingolipids provide insights into drug-induced metabolic disorders.

Obesity Causation Analysis Service of Medication-Induced Obesity

Many commonly used medications cause weight gain, preferential accumulation of central fat, and ectopic fat accumulation in the liver and muscles, which results in adverse glucose and lipid metabolism side effects and increases the risk of patients developing type 2 diabetes and cardiovascular disease. Protheragen uses powerful scientific research methods to explore the obesity mechanisms induced by multiple medications, thereby providing reference opinions for optimizing medications to reduce side effects. We provide the following medication-induced obesity analysis services.

Our commonly used analysis methods include but are not limited to:

• Biochemical tests: Lipid profiles, glucose levels, insulin levels, and other metabolic markers are measured in blood samples to understand changes in metabolic homeostasis.
• Gene expression analysis: Techniques such as qPCR and RNA sequencing identify changes in gene expression profiles related to metabolism, adipogenesis, and appetite regulation.
• Protein expression: Protein levels and modifications that may be associated with medication effects and the development of obesity are studied using western blots and mass spectrometry.
• Cell models: Primary adipocytes or adipocyte cell lines are treated with medications to study changes in fat accumulation, cell differentiation, and lipid metabolism in vitro.
• Animal models: Animal models with gene knockout or overexpression are used to study the systemic effects of medications on body weight, appetite, and metabolism.

Applications

• Accurately locate the specific molecular pathways and physiological processes that affect obesity, which helps identify potential therapeutic targets and paves the way for the development of more effective treatments.
• Gene expression profiling, metabolite screening, and protein interaction maps are used to identify drug-induced metabolic pathway changes. This service is not only used to study the side effects of drugs but also helps optimize drug formulations to minimize the risk of obesity.
• Systematic analysis of the causes of obesity is essential for discovering new biomarkers and developing corresponding obesity detection methods.

Advantages

• We use genomics, proteomics, metabolomics, and lipidomics to comprehensively evaluate the mechanisms of action of genes, diseases, or medications in causing obesity, and provide valuable reference information for developing targeted therapies and optimizing medications.
• Our advanced analytical techniques such as NGS, qPCR, and high-throughput analysis ensure high accuracy and reliability of analytical results, thereby accurately identifying potential causes.
• Our team of experts has many years of experience in obesity research and has a deep understanding of the mechanism of obesity, ensuring that our clients obtain the most informative and actionable insights.

Publication Data

Frequently Asked Questions

What is the primary objective of obesity causation analysis?

The main purpose of obesity causation analysis is to identify and understand the potential factors that lead to the development of obesity, involving genetics, specific diseases, drugs, and physiological and behavioral factors that may affect body weight. We use cutting-edge technology and advanced analytical methods such as genome sequencing and metabolic analysis to analyze the specific mechanisms and pathways of excessive weight gain and elucidate the complex interactions between various factors.

What types of tests are conducted as part of the obesity causation analysis service?

Our services include genetic analysis, biochemical analysis, histopathological analysis, metabolic phenotyping, proteomics analysis, lipidomics analysis, imaging analysis, and microbiome analysis.

Protheragen combines various advanced technologies to comprehensively understand the causes of obesity such as genes, medications, and diseases, to develop effective prevention strategies and therapeutic interventions. Please feel free to contact us to discuss your ideas.

All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.

• Diagnostic Tests
• Obesity Biomarker Identification and Analysis Service
• Obesity Microbiota Research Service
• Obesity Pathobiology Research Service
• Obesity Prediction Service
• Targeted Editing for Obesity Genes
• Weight Loss and Weight Management