Evidence map›Paper›PMID 38932840›Full record

ArticleJournal of diabetes and metabolic disorders2024

Anthropometry and blood biomarkers of diabetes and their possible association with obesity and metabolic syndrome.

Shivam Verma, Ritu Tiwari, Narsingh Verma, Shraddha Singh, Aakansha Sharma

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Article in Journal of diabetes and metabolic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shivam VermaDepartment of Physiology, King George's Medical University, Lucknow, 226003 India.ORCID 0009-0006-4246-4403
Ritu TiwariDepartment of Physiology, King George's Medical University, Lucknow, 226003 India.ORCID 0009-0001-1293-499X
Narsingh VermaDepartment of Physiology, King George's Medical University, Lucknow, 226003 India.ORCID 0000-0003-0348-7419
Shraddha SinghDepartment of Physiology, King George's Medical University, Lucknow, 226003 India.ORCID 0009-0003-9831-543X
Aakansha SharmaDepartment of Zoology, University of Lucknow, Lucknow, 226007 India.ORCID 0000-0001-6838-0060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes, a rapidly increasing heterogeneous disorder, is closely linked to the epidemic of obesity and metabolic syndrome (MetS). At present, we do not understand completely the blood biomarkers, molecular aetiology, and role of lifestyle modification and interventions to combat diabetes hand in hand with obesity and the MetS epidemic. Methods: To measure different anthropometric and blood biomarkers in pre-diabetic and diabetic patients, we collected data and blood samples from patients in a hospital OPD. This was a cross-sectional study that included the identification of possible relationships between different parameters to predict early diagnostic markers of diabetes. Results: We found increased body mass index (BMI), fasting blood glucose, neck, waist, and hip circumference, sagittal abdominal diameter, and skin fold thickness in the diabetic as compared to the pre-diabetic group. Also, serum uric acid and insulin resistance (HOMA-IR) values were significantly increased in diabetic individuals. We found a significant positive correlation between serum uric acid and BMI, fasting blood glucose, serum insulin, and HOMA-IR values. Conclusions: Here, we found that pre-diabetic and diabetic patients have increased fasting glucose levels while we did not find any difference in insulin levels. Both pre-diabetic and diabetic patients show high serum uric acid, positively associated with a higher prevalence of diabetes and HOMA-IR. Uric acid may hence be an important parameter for early diagnostics. These findings may be used as a basis for future studies that aim to identify the mechanistic details of the association of uric acid with insulin signaling and hence better understanding of the phenomenon associated with diabetes. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01276-4.

Indexed as

AnthropometricBlood glucoseDiabetesHOMA-IRMetabolic syndromeUric acid

Identifiers

PMID38932840
PMCPMC11196461

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.