Evidence map›Paper›PMID 41907928›Full record

ArticleBioinformation2025

Evaluation of antioxidant enzyme activity among Indian patients with type 2 diabetes mellitus.

Ritambhara Singh, Hemali Jha, Geetika Gupta, Amrit Podder, Parth Jani, Kanchan Sonone

Abstract read
In one paragraph

Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ritambhara SinghDepartment of Physiology, Santosh Medical College, Ghaziabad, Uttar Pradesh, India.
Hemali JhaDepartment of Internal Medicine, Integral Institute of Medical Sciences and Research, Integral University, Lucknow, Uttar Pradesh, India.
Geetika GuptaDepartment of Physiology, Acharya Shri Chander College of Medical Sciences & Hospital, Sidhra, Jammu, India.
Amrit PodderDepartment of Physiology, Teerthanker Mahaveer Medical College & Research Centre, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India.
Parth JaniDepartment of General Medicine, Government Medical College, Bhavnagar, India.
Kanchan SononeDepartment of Biochemistry, SMBT IMSRC, Nashik, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress is a key factor in the pathogenesis of Type 2 Diabetes Mellitus (T2DM), and the role of antioxidant enzymes in managing this stress remains an important area of research. Therefore, it is of interest to investigate the activity of antioxidant enzymes (SOD, CAT and GPx) in patients with Type 2 Diabetes Mellitus (T2DM) to understand the relationship between glycemic control and oxidative stress. We found significantly lower enzyme activity in individuals with poor glycemic control (HbA1c ≥ 7%) compared to those with better control (HbA1c < 7%). Negative correlations were observed between antioxidant enzyme levels and clinical variables such as HbA1c and fasting blood glucose. Our findings suggest that antioxidant enzyme activity may play a crucial role in managing oxidative stress in T2DM. Further studies should explore the potential of antioxidant-based therapies. The advancement to knowledge in this study is the identification of reduced antioxidant enzyme activity in patients with poor glycemic control, highlighting its potential role in managing oxidative stress in Type 2 Diabetes Mellitus.

Indexed as

Antioxidant enzymescatalaseglutathione peroxidaseoxidative stresstype 2 diabetes

Identifiers

PMID41907928
PMCPMC13018441

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.