By: Abirami Sudharshan
In October 2018, the McMaster faculty of health sciences launched the “Centre for Metabolism, Obesity and Diabetes Research,” an initiative ten years in the making.
Since then, the centre has been working to engineer novel clinical applications in the diagnosis, prevention and treatment of adult and juvenile metabolic disease.
According to the agenda from the Oct. 18 McMaster board of governors meeting, 25 per cent of adults in Canada and around the world are affected by obesity, type two diabetes and non-alcoholic fatty liver disease.
Every year, the Canadian health care system incurs more than $30 billion per year in incurred related costs.
The founding of the MODR centre, which was approved by the senate in April 2018, allows for the accelerated progression of pre-clinical to human research.
This is largely made possible through the MODR’s collaborative and multidisciplinary approach to metabolic research, according to a report in the Oct. 18 board of governors agenda.
“The MODR brings together a rich and diverse group of researchers from across McMaster University… with expertise ranging from cellular metabolism, physiology, clinical epidemiology, population health, pediatrics, adult medicine and clinical trials… who share a passion for collaborating and sharing insights and perspectives,” said Hertzel Gerstein, the centre’s senior advisor at the McMaster faculty of medicine.
Co-directors Katherine Morrison and Gregory Steinberg are studying these diseases at the clinical and cellular level, respectively.
Under their guidance, the centre is set to flourish as a world expert in determining the biological drivers behind metabolism disruption, understanding their mechanics and translating this knowledge into feasible, effective and clinical solutions.
“Ten years from now, we hope to have made a significant impact on the lives of people living with metabolic diseases by having developed new therapies,” said Steinberg.
The MODR is currently facilitating a number of metabolism-related research projects.
One project Steinberg and Morrison are leading is the “Gene Environment Team on Brown/Beige Adipose Tissue” project, which aims to understand the underlying causes of obesity, type two diabetes and non-alcoholic fatty liver disease.
According to the project description, brown adipose tissue is essentially the body’s furnace, burning sugar and fat in the body.
“In individuals with obesity or T2D the ability to switch on BAT is compromised, but the reasons for this are not well understood,” reads a statement on the MODR’s website. “The GET_BAT team is examining how agricultural and food processing practices may regulate BAT metabolic activity, directly, or indirectly by altering the gut microbiome.”
The results from these studies are expected to help the researchers develop strategies to increase BAT activity and treat and prevent metabolic disease.
Another project underway, the “Baby & Mi and Baby & Pre-Mi Studies,” is investigating the impact of gut bacteria on long-term health.
In particular, the study will be one of the first in North America to explore factors that may alter the gut bacteria picked up in the first three years of life.
In another study, Steinberg will be testing new medicines that impact proteins in the liver and adipose tissue in effort to treat type two diabetes.
More information about the research being conducted at the MODR can be found at https://healthsci.mcmaster.ca/metabolism-research.
People from all over the GTA can now head over to nearby Hamilton to benefit from McMaster University’s Data Analytics Continuing Education programs-- programs which could lead to a job in almost any industry.
The certificate in Big Data Analytics gives adult learners the tools and techniques to help guide organizations in the exploding field of data analytics.
As more ways of collecting data are being developed, professionals are needed who can turn that data into useful business insights.
As the demand for data analysts steadily increases and the talent supply remains low, this is a perfect time to train to enter the field.
Haitham Amar, who teaches the Predictive Modelling and Data Mining course, says there is a wealth of job opportunities available for graduates.
“The program allows students to choose a career as a data scientist, data analyst, data engineer, and machine learning engineer. In general, you can think of the career as either leaning more towards model building or towards model implementation (programming).” Amar explains.
Amar also points out that a number of industries involve big data analytics.
“Every field that makes use of data in any way, shape or form requires big data analytics. This seems like everything in the industry right now. Insurance companies, car manufacturers, education institutions, the health sector, the banking sector, the entertainment industry, etc. are all interested in people who are skilled in data analytics.”
Because of the wealth of career opportunities, students looking for a rewarding career are enrolling in the program.
The program can also, in a way, help prepare students for jobs that aren’t even available yet as almost any industry can better use data to its advantage.
“The question would be what professional fields would not be able to leverage big data analytics. Many companies still have a lot work to do in effectively leveraging data,” says Eleanor Smith, an instructor who teaches data management.
Smith also says the course has been invaluable to students seeking professional development.
“I have received feedback from students that this course has helped them in their professional lives. One topic we treat is enterprise metadata management, which many enterprise organizations have surprisingly yet to establish,” she says.
“A current student has provided me with feedback that her company is now investigating metadata management tools based on what has been presented in this course. Another student who works as a product manager at a big name credit bureau explained to me this course gave him the background and language to converse with his more technical colleagues.”
Overall, students say they learn an incredible amount of useful--and applicable--information in a relatively short period of time.
To learn more, please visit mcmastercce.ca/data-analytics