Metabolic effects of an essential amino acid supplement in adolescents with PCOS and obesity
CONCLUSIONS: Similar to studies in older adults, short-term EAA supplementation in adolescents resulted in significantly lower liver fat, AST, and plasma lipids and thus may prove to be an effective treatment in this population. Additional research is needed to elucidate the mechanisms for these effects.PMID:38439205 | DOI:10.1002/oby.23988 (Source: Obesity)
Source: Obesity - March 5, 2024 Category: Eating Disorders & Weight Management Authors: Talyia M Fordham Nazeen S Morelli Yesenia Garcia-Reyes Meredith A Ware Haseeb Rahat Divya Sundararajan Kelly N Z Fuller Cameron Severn Laura Pyle Craig R Malloy Eunsook S Jin Elizabeth J Parks Robert R Wolfe Melanie G Cree Source Type: research
Plasma proteomic profile of abdominal obesity in older adults
CONCLUSIONS: The study unveiled a multifaceted plasma proteomic profile of abdominal obesity in older adults, offering insights into its wide-ranging impact on the proteome. It also elucidated novel proteins, clusters of correlated proteins, and pathways that are intricately associated with abdominal obesity.PMID:38439214 | DOI:10.1002/oby.24000 (Source: Obesity)
Source: Obesity - March 5, 2024 Category: Eating Disorders & Weight Management Authors: Sanish Sathyan Sofiya Milman Emmeline Ayers Tina Gao Joe Verghese Nir Barzilai Source Type: research
Hepatic and adipose tissue transcriptome analysis highlights a commonly deregulated autophagic pathway in severe MASLD
CONCLUSIONS: By comparing the hepatic and VAT transcriptome during MASLD, we refined the concept by which CTSD may represent a potential biomarker of severe disease.PMID:38439203 | DOI:10.1002/oby.23996 (Source: Obesity)
Source: Obesity - March 5, 2024 Category: Eating Disorders & Weight Management Authors: Marica Meroni Emilia De Caro Federica Chiappori Miriam Longo Erika Paolini Ettore Mosca Ivan Merelli Rosa Lombardi Sara Badiali Marco Maggioni Alessandro Orro Alessandra Mezzelani Luca Valenti Anna Ludovica Fracanzani Paola Dongiovanni Source Type: research
Metabolic effects of an essential amino acid supplement in adolescents with PCOS and obesity
CONCLUSIONS: Similar to studies in older adults, short-term EAA supplementation in adolescents resulted in significantly lower liver fat, AST, and plasma lipids and thus may prove to be an effective treatment in this population. Additional research is needed to elucidate the mechanisms for these effects.PMID:38439205 | DOI:10.1002/oby.23988 (Source: Obesity)
Source: Obesity - March 5, 2024 Category: Eating Disorders & Weight Management Authors: Talyia M Fordham Nazeen S Morelli Yesenia Garcia-Reyes Meredith A Ware Haseeb Rahat Divya Sundararajan Kelly N Z Fuller Cameron Severn Laura Pyle Craig R Malloy Eunsook S Jin Elizabeth J Parks Robert R Wolfe Melanie G Cree Source Type: research
Plasma proteomic profile of abdominal obesity in older adults
CONCLUSIONS: The study unveiled a multifaceted plasma proteomic profile of abdominal obesity in older adults, offering insights into its wide-ranging impact on the proteome. It also elucidated novel proteins, clusters of correlated proteins, and pathways that are intricately associated with abdominal obesity.PMID:38439214 | DOI:10.1002/oby.24000 (Source: Obesity)
Source: Obesity - March 5, 2024 Category: Eating Disorders & Weight Management Authors: Sanish Sathyan Sofiya Milman Emmeline Ayers Tina Gao Joe Verghese Nir Barzilai Source Type: research
Transforming Big Data into AI-ready data for nutrition and obesity research
CONCLUSIONS: Big Data have the exciting potential for identifying new modifiable factors that impact obesity research. However, to ensure accurate interpretation of conclusions arising from Big Data, the choices involved in preparing AI- and ML-ready data need to be transparent to investigators and clinicians relying on the conclusions.PMID:38426232 | DOI:10.1002/oby.23989 (Source: Obesity)
Source: Obesity - March 1, 2024 Category: Eating Disorders & Weight Management Authors: Diana M Thomas Rob Knight Jack A Gilbert Marilyn C Cornelis Marie G Gantz Kate Burdekin Kevin Cummiskey Susan C J Sumner Wimal Pathmasiri Edward Sazonov Kelley Pettee Gabriel Erin E Dooley Mark A Green Andrew Pfluger Samantha Kleinberg Source Type: research
Transforming Big Data into AI-ready data for nutrition and obesity research
CONCLUSIONS: Big Data have the exciting potential for identifying new modifiable factors that impact obesity research. However, to ensure accurate interpretation of conclusions arising from Big Data, the choices involved in preparing AI- and ML-ready data need to be transparent to investigators and clinicians relying on the conclusions.PMID:38426232 | DOI:10.1002/oby.23989 (Source: Obesity)
Source: Obesity - March 1, 2024 Category: Eating Disorders & Weight Management Authors: Diana M Thomas Rob Knight Jack A Gilbert Marilyn C Cornelis Marie G Gantz Kate Burdekin Kevin Cummiskey Susan C J Sumner Wimal Pathmasiri Edward Sazonov Kelley Pettee Gabriel Erin E Dooley Mark A Green Andrew Pfluger Samantha Kleinberg Source Type: research
Transforming Big Data into AI-ready data for nutrition and obesity research
CONCLUSIONS: Big Data have the exciting potential for identifying new modifiable factors that impact obesity research. However, to ensure accurate interpretation of conclusions arising from Big Data, the choices involved in preparing AI- and ML-ready data need to be transparent to investigators and clinicians relying on the conclusions.PMID:38426232 | DOI:10.1002/oby.23989 (Source: Obesity)
Source: Obesity - March 1, 2024 Category: Eating Disorders & Weight Management Authors: Diana M Thomas Rob Knight Jack A Gilbert Marilyn C Cornelis Marie G Gantz Kate Burdekin Kevin Cummiskey Susan C J Sumner Wimal Pathmasiri Edward Sazonov Kelley Pettee Gabriel Erin E Dooley Mark A Green Andrew Pfluger Samantha Kleinberg Source Type: research
Transforming Big Data into AI-ready data for nutrition and obesity research
CONCLUSIONS: Big Data have the exciting potential for identifying new modifiable factors that impact obesity research. However, to ensure accurate interpretation of conclusions arising from Big Data, the choices involved in preparing AI- and ML-ready data need to be transparent to investigators and clinicians relying on the conclusions.PMID:38426232 | DOI:10.1002/oby.23989 (Source: Obesity)
Source: Obesity - March 1, 2024 Category: Eating Disorders & Weight Management Authors: Diana M Thomas Rob Knight Jack A Gilbert Marilyn C Cornelis Marie G Gantz Kate Burdekin Kevin Cummiskey Susan C J Sumner Wimal Pathmasiri Edward Sazonov Kelley Pettee Gabriel Erin E Dooley Mark A Green Andrew Pfluger Samantha Kleinberg Source Type: research
Sex differences in insulin regulation of skeletal muscle glycogen synthase and changes during weight loss and exercise in adults
CONCLUSIONS: Sex differences in insulin sensitivity may be explained at the cellular muscle level, and to improve skeletal muscle insulin action in older adults, it may be necessary to recommend different behavioral strategies depending on the individual's sex.PMID:38414363 | DOI:10.1002/oby.23987 (Source: Obesity)
Source: Obesity - February 28, 2024 Category: Eating Disorders & Weight Management Authors: Alice S Ryan Guoyan Li Shawna McMillin Heidi K Ortmeyer Source Type: research
Sex differences in insulin regulation of skeletal muscle glycogen synthase and changes during weight loss and exercise in adults
CONCLUSIONS: Sex differences in insulin sensitivity may be explained at the cellular muscle level, and to improve skeletal muscle insulin action in older adults, it may be necessary to recommend different behavioral strategies depending on the individual's sex.PMID:38414363 | DOI:10.1002/oby.23987 (Source: Obesity)
Source: Obesity - February 28, 2024 Category: Eating Disorders & Weight Management Authors: Alice S Ryan Guoyan Li Shawna McMillin Heidi K Ortmeyer Source Type: research
The hedonic overdrive model best explains high-fat diet-induced obesity in C57BL/6 mice
CONCLUSIONS: The hedonic overdrive model fit the data best. The other two models were not supported.PMID:38410048 | DOI:10.1002/oby.23991 (Source: Obesity)
Source: Obesity - February 27, 2024 Category: Eating Disorders & Weight Management Authors: Lin Gao Sumei Hu Dengbao Yang Lu Wang Jacques Togo Yingga Wu Baoguo Li Min Li Guanlin Wang Xueying Zhang Li Li Yanchao Xu Moshen Mazidi Elspeth Couper Andrew Whittington-Davies Chaoqun Niu John R Speakman Source Type: research
Abdominal fat depots are related to lower cognitive functioning and brain volumes in middle-aged males at high Alzheimer's risk
CONCLUSIONS: In middle-aged males at high Alzheimer's dementia risk, but not in females, higher pancreatic fat was associated with lower cognition and brain volumes. These findings suggest a potential sex-specific link between distinct abdominal fat with brain health.PMID:38410053 | DOI:10.1002/oby.24004 (Source: Obesity)
Source: Obesity - February 27, 2024 Category: Eating Disorders & Weight Management Authors: Sapir Golan Shekhtman Ethel Boccara Ramit Ravona-Springer Yael Inbar Hila Zelicha Abigail Livny Barbara B Bendlin Orit Lesman-Segev Iscka Yore Anthony Heymann Mary Sano Yael Mardor Joseph Azuri Michal Schnaider Beeri Source Type: research
Altered extracellular matrix dynamics is associated with insulin resistance in adolescent children with obesity
CONCLUSIONS: Altered extracellular matrix dynamics, but not expandability, potentially decreases abdominal SAT lipid storage capacity, contributing to the pathophysiological pathways linking adipose tissue and whole-body IR with altered ectopic storage of lipids within the liver among IR adolescents with obesity.PMID:38410080 | DOI:10.1002/oby.23974 (Source: Obesity)
Source: Obesity - February 27, 2024 Category: Eating Disorders & Weight Management Authors: Aaron L Slusher Jessica Nouws Fuyuze Tokoglu Alla Vash-Margita Marcy D Matthews Mark Fitch Mahalakshmi Shankaran Marc K Hellerstein Sonia Caprio Source Type: research
Efficacy and safety of tirzepatide, GLP-1 receptor agonists, and other weight loss drugs in overweight and obesity: a network meta-analysis
CONCLUSIONS: The superiority of tirzepatide and GLP-1 RA in inducing weight loss and their ability to target multiple metabolic parameters render them promising candidates in the treatment of patients with overweight and obesity.PMID:38413012 | DOI:10.1002/oby.24002 (Source: Obesity)
Source: Obesity - February 27, 2024 Category: Eating Disorders & Weight Management Authors: Xin-Hui Pan Bryan Tan Yip Han Chin Ethan Cheng Zhe Lee Gwyneth Kong Bryan Chong Martin Kueh Chin Meng Khoo Anurag Mehta Priyanka Majety Gowtham R Grandhi Georgios K Dimitriadis Roger Foo Nicholas W S Chew Carel W Le Roux Mamas A Mamas Mark Y Chan Source Type: research
