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February 7, 2022

Twitter: Dr. Aseem Malhotra on obesity top tweet Q4 2021

Twitter: Clinical Trials Arena lists five of the most popular tweets on metabolic disorders in Q4 2021 based on data from GlobalData’s Pharmaceuticals Influencer Platform.

The top tweets are based on total engagements (likes and retweets) received on tweets from more than 150 metabolic disorders experts tracked by GlobalData’s Pharmaceuticals Influencer platform during the fourth quarter (Q4) of 2021.

1. Dr. Aseem Malhotra’s tweet on obesity being a hormonal disorder

Dr. Aseem Malhotra, a consultant cardiologist at National Health Service (NHS), shared an interview of obesity expert Gary Taubes who stated that obesity is a hormonal disorder. Taubes stated that insulin and glucagon are the key hormones that cause weight gain. He added that a research paper in the American Journal of Clinical Nutrition is aiming to establish that obesity is a hormonal disorder and debunk the notion that consuming more calories leads to obesity.

The macronutrients, carbs, protein, and fats that people eat have significantly diverse affects on the insulin and glucagon levels, Taubes noted. He added that carbohydrates are often believed to cause obesity, whereas they alone may not be responsible for causing obesity.

Username: Dr Aseem Malhotra

Twitter handle: @DrAseemMalhotra

Likes: 1,803

Retweets: 613

2. Dr. David Perlmutter’s tweet on the effects of insufficient sleep on health

Dr. David Perlmutter, president of Perlmutter Health Center, shared a study that examined the effects of insufficient sleep on health. The study analysed how inadequate sleep and disruption of the circadian rhythm are linked to negative health consequences such as obesity, cardiovascular disease, and cognitive impairment. The participants of the study included 26 people who were exposed to one week of insufficient sleep and one week of adequate sleep. During a period of total sleep deprivation, ten whole-blood RNA samples were taken from each volunteer, while considering the effects of light, activity and food.

A transcriptome analysis found that inadequate sleep caused 711 genes to be up or down-regulated decreasing the number of genes with a circadian expression profile from 1,855 to 1,481. Inadequate sleep also decreased their circadian amplitude, with the number of genes that responded to total sleep loss increasing from 122 to 856. Findings of the study revealed that circadian rhythms, sleep homeostasis, oxidative stress, and metabolism were all linked to genes impacted by lack of sleep. Chromatin alteration, gene expression, and molecular metabolism were among the biological processes that were affected due to lack of sleep.

Username: David Perlmutter, MD

Twitter handle: @DavidPerlmutter

Likes: 210

Retweets: 65

3. Dr. Daniel Drucker’s tweet on the role played by exercise in improving whole-body insulin sensitivity

Dr. Daniel Drucker, a clinician scientist and endocrinologist at the Lunenfeld-Tanenbaum Research Institute, shared an article on how exercise improves whole-body insulin sensitivity, while protecting against Type II diabetes. Exercise can regulate a variety of post-translational (PTM) changes, including phosphorylation, ubiquitination, acetylation, and ribosylation. Furthermore, it can boost glucose absorption and insulin sensitivity through a variety of pathways such as GLUT4 translocation.

A complex network of signals converge and interact to regulate glucose metabolism and insulin sensitivity when a person exercises, the article highlighted. Furthermore, insulin and exercise regulate the adenosine diphosphate (ADP) ribosylome, which is a PTM modification that affects cellular processes, and thereby regulates energy metabolism, glucose homeostasis, and insulin sensitivity.

Username: Daniel J Drucker

Twitter handle: @DanielJDrucker

Likes: 91

Retweets: 29

4. Stuart Phillips’ tweet on dairy food and protein consumption promoting fat mass loss and lean mass gain

Stuart Phillips, a professor at McMaster University, shared an article on how the consumption of dairy food and protein promotes fat mass loss and lean mass gain in overweight and obese premenopause women during diet and exercise-induced weight loss. A study was conducted on 90 women who were assigned to one of three groups – high protein, high dairy (HPHD); adequate protein, medium dairy (APMD); and adequate protein, low dairy (APLD). Each group differed in the consumption of the amount of total dietary protein and dairy food-source protein such as 30% and 15%, 15% and 7.5%, and 15% and 2% of energy, respectively.

Dual X-ray Absorptiometry system (DXA) was used to analyse body composition at zero, eight, and 16 weeks, while magnetic resonance imaging (MRI) was used to estimate visceral adipose tissue (VAT) volume at weeks zero and 16. The findings of the study revealed that lean tissue increased in the HPHD group compared to the APMD group, which retained lean mass, while the APLD group lost lean mass during weeks eight to 16.

Username: Stuart Phillips

Twitter handle: @mackinprof

Likes: 56

Retweets: 16

5. Professor Kamlesh Khunti’s tweet on the impact of Covid-19 on diabetics

Professor Kamlesh Khunti, a professor of primary care diabetes and vascular medicine at the University of Leicester, shared an article on the impact of Covid-19 on people with diabetes (PWD). The World Health Organization (WHO) commissioned a review assessment to provide an overview of the scientific evidence on how PWD are at an elevated risk of infection with severe Covid-19 and its consequences including mortality.

The review analysed data from 112 systematic reviews, which included data on PWDs who had been exposed to SARS-CoV-2 infection, confirmed SARS-CoV-2 infection, admission to intensive care unit (ICU) with Covid-19, and mortality cases with Covid-19. The review revealed that diabetes increased the risk of severe illness and death from Covid-19. Diabetes and the increased worse outcomes from Covid-19 are associated with socioeconomic disadvantage and therefore need close attention from health authorities, the article highlighted.

Username: Prof Kamlesh Khunti

Twitter handle: @kamleshkhunti

Likes: 48

Retweets: 28

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