Cited by 24Diabetic Foot Ulcer Assessment and ManagementTrace Elements in HealthMagnesium in Health and Disease

Assessment of Mineral Pathophysiology in Patients with Diabetic Foot Ulcer

Yadav, Charu, Srikantiah, Rukmini Mysore, Manjrekar, Poornima, Shenoy, Mamatha T., Chaudhury, Debajit·2020·Biological Trace Element Research

Abstract

Chronic non-healing diabetic foot ulcers (DFU) with a recurrence rate of over 50% in 3 years account for more than 1,08000 non-traumatic lower extremity amputations. Reports of altered mineral status and their role in pathogenesis of diabetes are well documented. However, little is known regarding their status and impact on severity of complications like foot ulcer. A hospital-based case control study was conducted in 64 subjects aged 40-60 years, attending the Podiatric and the Diabetes clinic of the institutional hospitals. Study subjects included were 32 diagnosed cases of type 2 diabetes having foot ulcers along with 32 age-matched diabetics without foot ulcer as controls. Fasting and post-prandial plasma glucose were estimated by glucose oxidase peroxidase method and HbA1c by high-performance liquid chromatography method. Serum zinc, magnesium and copper levels were estimated by colorimetric methods in semi-autoanalyser. Serum levels of zinc, copper and magnesium were significantly decreased in DFU cases as compared with diabetics without ulcers (p < 0.05). Correlation analysis revealed a significant inverse correlation of these minerals with all the glycaemic indices; the association being the strongest in case of zinc in both groups. The higher degree of mineral insufficiencies in the foot ulcer group of this study could be responsible for worsening the glycaemic control in diabetics leading to delayed healing of foot ulcers. The observed decrease of serum copper, magnesium and zinc levels in diabetics with foot ulcers appears to be proportionally related to the length of the diabetic disease. Thus, continuous monitoring and dietary supplementation of minerals in case of severe deficiencies might be beneficial in halting the progression of such complications.

Integrity signals

Registry

Crossref · 10.1007/s12011-019-01868-3

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Authors
Yadav, C., Srikantiah, R. M., Manjrekar, P., Shenoy, M. T., & Chaudhury, D.
Affiliations
  • Lady Hardinge Medical College (IN)
  • Manipal Academy of Higher Education (IN)
  • Kasturba Medical College, Mangalore (IN)
  • Velammal Medical College Hospital and Research Institute (IN)
  • Yenepoya Research Centre (IN)
Corresponding author
Srikantiah, Rukmini Mysore
Venue
Biological Trace Element Research
Published
2019-08-21
Volume
195
Issue
2
Pages
366-372
ISSN
  • 0163-4984 (ISSN-L)
  • 1559-0720
OpenAlex
W2969989669
Cited by
24
References
1
Citations by year
2026: 6 · 2025: 2 · 2024: 8 · 2023: 6 · 2021: 2
FWCI
0.41
Type
journal article
Language
en
Open access
closed
Locations
  • Biological Trace Element Research (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetic Foot Ulcer Assessment and Management
  • Health Sciences › Nursing › Nutrition and Dietetics › Trace Elements in Health
  • Health Sciences › Nursing › Nutrition and Dietetics › Magnesium in Health and Disease
Keywords
diabetic foot ulcer, trace element deficiency, zinc, magnesium, copper, serum minerals, glycemic control, HbA1c, type 2 diabetes, wound healing, mineral supplementation
MeSH terms
Adult, Copper, Diabetes Mellitus, Type 2, Female, Humans, Magnesium, Male, Middle Aged, Zinc, Case-Control Studies, Diabetic Foot

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review