# Impact of MMC-assisted glycemic control assistant on biochemical indicators of glucose metabolism in type 2 diabetes: A retrospective study

**Authors:** Peipei Shen, Hongjiao Yang

PMC · DOI: 10.5937/jomb0-60285 · Journal of Medical Biochemistry · 2026-01-06

## TL;DR

A digital tool called MMC-assisted glycemic control assistant improves blood sugar control and health behaviors in type 2 diabetes patients.

## Contribution

The study demonstrates the clinical effectiveness of a novel digital platform in improving glucose metabolism and self-management in type 2 diabetes.

## Key findings

- The MMC group showed significant reductions in fasting plasma glucose, postprandial glucose, and HbA1c compared to routine care.
- Patients using the MMC platform improved dietary behaviors and adherence to glucose monitoring, medication, and exercise.
- The study supports the integration of digital tools into chronic disease management for better glycemic control.

## Abstract

Effective glycemic management in type 2 diabetes remains challenging due to limited patient self-management and fragmented care. The National Standardized Metabolic Management Center (MMC)-assisted glycemic control assistant is a novel digital platform that integrates real-time monitoring, education, and treatment adjustment. This study evaluated its impact on biochemical markers and patient behaviors compared with routine care.

A retrospective study was conducted on 160 patients with type 2 diabetes, including 95 who received MMC-assisted digital management and 65 who received routine care. Key biochemical parametersfasting plasma glucose (FPG), 2-hour postprandial glucose (2hPG), and glycated hemoglobin (HbA1c)were measured using standardized enzymatic assays. Dietary behavior and diabetes self-management were also assessed using validated scales.

At baseline, groups were comparable in clinical and behavioral characteristics. After intervention, the MMC group achieved greater improvements: FPG decreased by 10.1% (7.42± 2.43 vs. 8.30± 2.66 mmol/L, P= 0.032), 2hPG by 17.5% (10.23± 3.21 vs. 12.39± 3.50 mmol/L, P &lt; 0 .0 0 1 ), and HbA1c by 9.0% (7.26 ± 2.05 % vs. 7.98± 2.34% , P = 0.041). Significant gains were also observed in dietary behavior and adherence to glucose monitoring, medication, and exercise.

The MMC-assisted glycemic control assistant enhances glycemic control and promotes healthier behaviors in type 2 diabetes. These findings support its clinical utility and highlight the potential for broader integration of digital tools into standardized chronic disease management.

## Linked entities

- **Diseases:** type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** insulin deficiency (MESH:D007333), hearing and visual impairments (MESH:D006311), cerebral infarction (MESH:D002544), immune system diseases (MESH:D007154), cardiovascular and cerebrovascular diseases (MESH:D002318), diabetes complications (MESH:D048909), blood diseases (MESH:D006402), diabetic foot complications (MESH:D017719), brain tumors (MESH:D001932), chronic disease (MESH:D002908), Type 2 diabetes (MESH:D003924), malignant tumors (MESH:D009369), Diabetes (MESH:D003920), mental disorders (MESH:D001523), metabolic disease (MESH:D008659), neurological disorders (MESH:D009461), obesity (MESH:D009765)
- **Chemicals:** 2hPG (-), glucose (MESH:D005947), lipid (MESH:D008055), salt (MESH:D012492), Blood glucose (MESH:D001786)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC12967170/full.md

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Source: https://tomesphere.com/paper/PMC12967170