A study the relationship between trace element (Zinc, magnesium) level and intensity in diabetes mellitus type 1 and type 2

Certain micronutrients known as trace elements are necessary for the body to function normally. Diabetes mellitus development is influenced by specific trace elements. This study aimed to evaluate the relationship and intensity zinc, magnesium in diabetes type 1 and type 2, and to assess Correlations of Zinc, Magnesium to some parameters in diabetes mellitus. This study included 100 patients with DM and 100 healthy controls. T1D with an age range of 10-23 years while T2D with an age range of 40-70 years. Was controls age same age as patients. Serum concentration of trace elements (zinc, magnesium). It has been identified by flameless atomic absorption spectrophotometry techniques employing an atomic absorption spectrophotometer, zinc was of estimated at wavelength 213.9 nm using a slit width of 0.7 nm and lamp current 8 mA. With a slit width of 0.7 nm and a lamp current of 8 mA, Mg was measured at a wavelength of 285.2 nm. The results showed that the average zinc content was found to be (70.13±30.230) vs (87.25±10.720) mg/l significant decreased (p = .030) in patients with type 1 diabetes when compared to the control group while that the average concentration zinc (35.64±20.533) vs. (85.82±10.154) mg/l significant decreased (p = 0.0001) in patients with type 2 diabetes when compared to control group. But the large effect of zinc deficiency is on type 2 diabetes r = 0.783 (Large effect) and the least effect is on type 1 diabetes. r = 0.242 (Small effect) and also observed that the average concentration magnesium (1.6855±.38257) vs (1.8650±.13877) μg/L significant decreased (p = .014) in patients with type 1 diabetes when compared to the control group while that the average concentration magnesium (1.3717±.30033) vs. (1.8467±.12550). μg/L significant decreased (p = 0.0001) in patients with type 2 diabetes when compared to control group. But the large effect of magnesium deficiency is on type 2 diabetes r = 0.739 (Large effect) and the least effect is on type 1 diabetes. r = 0.276 (Small effect). In conclusion, according to the current findings, serum levels of vital the trace elements (zinc, Mg) are associated with the presence of diabetes mellitus type 1 and 2 but effect in type 2 more than type 1. These findings support the growing amount of data showing that the zinc, Mg is crucial for proper glucose metabolism. Storage, creation, and release insulin. Aid help in normal insulin action and there are no correlations between zinc, Mg with other parameters in diabetes type 1 and type 2.

Authors

Publication Details

Journal
International Journal of Advanced Biochemistry Research
Published
2025-01-01
DOI
https://doi.org/10.33545/26174693.2025.v9.i3d.3931
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A study the relationship between trace element (Zinc, magnesium) level and intensity in diabetes mellitus type 1 and type 2

Qasim H. Khalaf, Mahdi M. Thuwaini, Mohammad Odeh. Jadoo
International Journal of Advanced Biochemistry Research
Nutrition and Health in Aging
article

A study the relationship between trace element (Zinc, magnesium) level and intensity in diabetes mellitus type 1 and type 2

Qasim H. Khalaf, Mahdi M. Thuwaini, Mohammad Odeh. Jadoo
article en

Abstract

Certain micronutrients known as trace elements are necessary for the body to function normally. Diabetes mellitus development is influenced by specific trace elements. This study aimed to evaluate the relationship and intensity zinc, magnesium in diabetes type 1 and type 2, and to assess Correlations of Zinc, Magnesium to some parameters in diabetes mellitus. This study included 100 patients with DM and 100 healthy controls. T1D with an age range of 10-23 years while T2D with an age range of 40-70 years. Was controls age same age as patients. Serum concentration of trace elements (zinc, magnesium). It has been identified by flameless atomic absorption spectrophotometry techniques employing an atomic absorption spectrophotometer, zinc was of estimated at wavelength 213.9 nm using a slit width of 0.7 nm and lamp current 8 mA. With a slit width of 0.7 nm and a lamp current of 8 mA, Mg was measured at a wavelength of 285.2 nm. The results showed that the average zinc content was found to be (70.13±30.230) vs (87.25±10.720) mg/l significant decreased (p = .030) in patients with type 1 diabetes when compared to the control group while that the average concentration zinc (35.64±20.533) vs. (85.82±10.154) mg/l significant decreased (p = 0.0001) in patients with type 2 diabetes when compared to control group. But the large effect of zinc deficiency is on type 2 diabetes r = 0.783 (Large effect) and the least effect is on type 1 diabetes. r = 0.242 (Small effect) and also observed that the average concentration magnesium (1.6855±.38257) vs (1.8650±.13877) μg/L significant decreased (p = .014) in patients with type 1 diabetes when compared to the control group while that the average concentration magnesium (1.3717±.30033) vs. (1.8467±.12550). μg/L significant decreased (p = 0.0001) in patients with type 2 diabetes when compared to control group. But the large effect of magnesium deficiency is on type 2 diabetes r = 0.739 (Large effect) and the least effect is on type 1 diabetes. r = 0.276 (Small effect). In conclusion, according to the current findings, serum levels of vital the trace elements (zinc, Mg) are associated with the presence of diabetes mellitus type 1 and 2 but effect in type 2 more than type 1. These findings support the growing amount of data showing that the zinc, Mg is crucial for proper glucose metabolism. Storage, creation, and release insulin. Aid help in normal insulin action and there are no correlations between zinc, Mg with other parameters in diabetes type 1 and type 2.

International Journal of Advanced Biochemistry ResearchVol. 9(3)
Good health and well-being
Openalex Percentile: Top 94%
Nutrition and Health in Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.