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Aluminium levels in hair and urine are associated with overweight and obesity in a non-occupationally exposed population

Tin`kov A. A., Skal`naya M. G., Oset Ya. U., Aysuvakova O. P., Ashner M., Skal`ny'j A. V.
Journal of Trace Elements in Medicine and Biology
Vol.56, P. 139-145
Опубликовано: 2019
Тип ресурса: Статья

DOI:10.1016/j.jtemb.2019.08.005

Аннотация:
Background: Data on the association between aluminium (Al) exposure and obesity and/or metabolic syndrome are insufficient. The objective of the present study was to investigate the association between hair and urine Al levels and obesity. Methods: A total of 206 lean and 205 obese non-occupationally exposed subjects (30–50 y.o.) were enrolled in the study. Hair and urine Al levels were assessed with ICP-MS. Laboratory quality control was performed using the certified reference materials of human hair, plasma, and urine. Results: Hair and urinary Al levels in obese subjects were significantly higher by 31[%] and 46[%] compared to the control levels, respectively. The presence of hypertension (41[%] cases), atherosclerosis (8[%]), type 2 diabetes mellitus (10[%]), and non-alcoholic fatty liver disease (NAFLD) (53[%]) in obese patients were not associated with Al levels in the studied subjects. An overall multiple regression model established urinary Al levels (β = 0.395; p < 0.001), hypertension (β
Ключевые слова:
Aluminium; Hypertension; Metabolic syndrome; NAFLD; Obesity
aluminum; aluminum; adult; age; aluminum hair level; aluminum urine level; Article; atherosclerosis; body burden; controlled study; disease association; environmental exposure; female; hair level; human; hypertension; inductively coupled plasma mass spectrometry; major clinical study; male; non insulin dependent diabetes mellitus; nonalcoholic fatty liver; obesity; priority journal; quality control procedures; urine level; blood; chemistry; hair; middle aged; obesity; occupational exposure; quality control; regression analysis; urine; Adult; Aluminum; Female; Hair; Humans; Male; Middle Aged; Obesity; Occupational Exposure; Quality Control; Regression Analysis
Язык текста: Английский
ISSN: 0946-672X
Tin`kov A. A. Aleksej Alekseevich 1989-
Skal`naya M. G. Margarita Gennadievna 1968-
Oset Ya. U. Yan Ulav 1943-
Aysuvakova O. P. Ol`ga Pavlovna 1982-
Ashner M. Mikhae`l` 1955-
Skal`ny'j A. V. Anatolij Viktorovich 1962-
Тиньков А. А. Алексей Алексеевич 1989-
Скальная М. Г. Маргарита Геннадиевна 1968-
Осет Я. У. Ян Улав 1943-
Айсувакова О. П. Ольга Павловна 1982-
Ашнер М. Михаэль 1955-
Скальный А. В. Анатолий Викторович 1962-
Aluminium levels in hair and urine are associated with overweight and obesity in a non-occupationally exposed population
Текст визуальный непосредственный
Journal of Trace Elements in Medicine and Biology
Urban & Fischer
Vol.56 P. 139-145
2019
Статья
Aluminium Hypertension Metabolic syndrome NAFLD Obesity
aluminum aluminum adult age aluminum hair level aluminum urine level Article atherosclerosis body burden controlled study disease association environmental exposure female hair level human hypertension inductively coupled plasma mass spectrometry major clinical study male non insulin dependent diabetes mellitus nonalcoholic fatty liver obesity priority journal quality control procedures urine level blood chemistry hair middle aged obesity occupational exposure quality control regression analysis urine Adult Aluminum Female Hair Humans Male Middle Aged Obesity Occupational Exposure Quality Control Regression Analysis
Background: Data on the association between aluminium (Al) exposure and obesity and/or metabolic syndrome are insufficient. The objective of the present study was to investigate the association between hair and urine Al levels and obesity. Methods: A total of 206 lean and 205 obese non-occupationally exposed subjects (30–50 y.o.) were enrolled in the study. Hair and urine Al levels were assessed with ICP-MS. Laboratory quality control was performed using the certified reference materials of human hair, plasma, and urine. Results: Hair and urinary Al levels in obese subjects were significantly higher by 31[%] and 46[%] compared to the control levels, respectively. The presence of hypertension (41[%] cases), atherosclerosis (8[%]), type 2 diabetes mellitus (10[%]), and non-alcoholic fatty liver disease (NAFLD) (53[%]) in obese patients were not associated with Al levels in the studied subjects. An overall multiple regression model established urinary Al levels (β = 0.395; p < 0.001), hypertension (β