Comparing the metabolic signatures of obesity defined by waist circumference, waist-hip ratio, or BMI

被引:4
作者
Al Hariri, Moustafa [1 ]
Al-Sulaiti, Haya [2 ,3 ]
Anwardeen, Najeha [3 ]
Naja, Khaled [3 ]
Elrayess, Mohamed A. [1 ,3 ]
机构
[1] Qatar Univ, Coll Med, QU Hlth Sect, Doha, Qatar
[2] Qatar Univ, Coll Hlth Sci, Dept Biomed Sci, QU Hlth Sect, Doha, Qatar
[3] Qatar Univ, Biomed Res Ctr, Doha, Qatar
关键词
ALL-CAUSE MORTALITY; CARDIOVASCULAR-DISEASE; WEIGHT CHANGE; RISK; ASSOCIATION; CANCER; POPULATION; CHINESE; PROFILE; COHORT;
D O I
10.1002/oby.24070
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveMeasuring obesity is crucial for assessing health risks and developing effective prevention and treatment strategies. The most common methods used to measure obesity include BMI, waist circumference, and waist-hip ratio. This study aimed to determine the metabolic signatures associated with each measure of obesity in the Qatari population.MethodsMetabolomics profiling was conducted to identify, quantify, and characterize metabolites in serum samples from the study participants. Inverse rank normalization, principal component analysis, and orthogonal partial least square-discriminant analysis were used to analyze the metabolomics data.ResultsThis study revealed significant differences in metabolites associated with obesity based on different measurements. In men, phosphatidylcholine and phosphatidylethanolamine metabolites were significantly enriched in individuals classified as having obesity based on the waist-hip ratio. In women, significant changes were observed in leucine, isoleucine, and valine metabolism metabolites. Unique metabolites were found in the different categorization groups that could serve as biomarkers for assessing many obesity-related disorders.ConclusionsThis study identified unique metabolic signatures associated with obesity based on different measurements in the Qatari population. These findings contribute to a better understanding of the molecular pathways involved in obesity and may have implications for developing personalized prevention and treatment strategies.
引用
收藏
页码:1494 / 1507
页数:14
相关论文
共 45 条
[1]   Compendium of Physical Activities: an update of activity codes and MET intensities [J].
Ainsworth, BE ;
Haskell, WL ;
Whitt, MC ;
Irwin, ML ;
Swartz, AM ;
Strath, SJ ;
O'Brien, WL ;
Bassett, DR ;
Schmitz, KH ;
Emplaincourt, PO ;
Jacobs, DR ;
Leon, AS .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2000, 32 (09) :S498-S516
[2]   The association of weight change and all-cause mortality in older adults: a systematic review and meta-analysis [J].
Alharbi, Tagrid A. ;
Paudel, Susan ;
Gasevic, Danijela ;
Ryan, Joanne ;
Freak-Poli, Rosanne ;
Owen, Alice J. .
AGE AND AGEING, 2021, 50 (03) :697-704
[3]  
Arnett DK, 2019, CIRCULATION, V140, pE563, DOI [10.1161/CIR.0000000000000677, 10.1161/CIR.0000000000000678, 10.1016/j.jacc.2019.03.009, 10.1016/j.jacc.2019.03.010]
[4]   Repeated measures of body mass index and waist circumference in the assessment of mortality risk in patients with myocardial infarction [J].
Berglund, Lars ;
Riserus, Ulf ;
Hambraeus, Kristina .
UPSALA JOURNAL OF MEDICAL SCIENCES, 2019, 124 (01) :78-82
[5]   A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value [J].
Browning, Lucy M. ;
Hsieh, Shiun Dong ;
Ashwell, Margaret .
NUTRITION RESEARCH REVIEWS, 2010, 23 (02) :247-269
[6]   Smoking Cessation, Weight Gain, and the Trajectory of Estimated Risk of Coronary Heart Disease: 8-Year Follow-up From a Prospective Cohort Study [J].
Chen, Sanmei ;
Kawasaki, Yohei ;
Hu, Huanhuan ;
Kuwahara, Keisuke ;
Yamamoto, Makoto ;
Uehara, Akihiko ;
Honda, Toru ;
Yamamoto, Shuichiro ;
Nakagawa, Tohru ;
Miyamoto, Toshiaki ;
Okazaki, Hiroko ;
Hori, Ai ;
Shimizu, Makiko ;
Murakami, Taizo ;
Kochi, Takeshi ;
Eguchi, Masafumi ;
Imai, Teppei ;
Nishihara, Akiko ;
Tomita, Kentaro ;
Akter, Shamima ;
Kabe, Isamu ;
Mizoue, Tetsuya ;
Dohi, Seitaro .
NICOTINE & TOBACCO RESEARCH, 2021, 23 (01) :85-91
[7]   Anthropometric Characteristics in Taiwanese Adults: Age and Gender Differences [J].
Chen, Shih-Chang ;
Lin, Chaou-Wen ;
Lee, Po-Fu ;
Chen, Hui-Ling ;
Ho, Chien-Chang .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (14)
[8]   General cardiovascular risk profile for use in primary care - The Framingham Heart Study [J].
D'Agostino, Ralph B. ;
Vasan, Ramachandran S. ;
Pencina, Michael J. ;
Wolf, Philip A. ;
Cobain, Mark ;
Massaro, Joseph M. ;
Kannel, William B. .
CIRCULATION, 2008, 117 (06) :743-753
[9]   Associations Between Changes in Anthropometric Measures and Mortality in Old Age: A Role for Mid-Upper Arm Circumference? [J].
de Hollander, Ellen L. ;
Bemelmans, Wanda J. E. ;
de Groot, Lisette C. P. G. M. .
JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION, 2013, 14 (03) :187-193
[10]   Cardiovascular Implications in Idiopathic and Syndromic Obesity in Childhood: An Update [J].
Delvecchio, Maurizio ;
Pastore, Carmela ;
Valente, Federica ;
Giordano, Paola .
FRONTIERS IN ENDOCRINOLOGY, 2020, 11