Stem cell therapy for patients with diabetes: a systematic review and meta-analysis of metabolomics-based risks and

Fakher Rahim1,2, Babak Arjmand3, Kiarash Shirbandi4

  • 1Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Stem Cell Investigation
|January 1, 2019
PubMed
Abstract

Insights

Stem cell therapy shows potential benefits for diabetes patients, improving key health markers. However, careful consideration of risks, including potential cancer formation, is crucial before widespread adoption.

Area of Science:

  • Regenerative Medicine
  • Endocrinology
  • Clinical Research

Background:

  • Stem cell therapy offers a promising avenue for treating diabetes.
  • Understanding the risks and benefits is essential for developing effective therapeutic strategies.
  • A balanced risk-benefit profile is key to advancing novel diabetes treatments.

Purpose of the Study:

  • To systematically review and analyze clinical trials on stem cell therapy for diabetes (T1DM and T2DM).
  • To determine the overall benefits and risks associated with this therapeutic approach.

Main Methods:

  • Conducted a systematic review and meta-analysis of all available clinical trials.
  • Performed an extensive literature search across multiple databases using relevant MeSH terms for stem cell therapy and diabetes.

Main Results:

  • In Type 2 Diabetes Mellitus (T2DM), stem cell therapy improved insulin requirements and HbA1C but negatively impacted c-peptide.
  • In Type 1 Diabetes Mellitus (T1DM), it enhanced c-peptide and HbA1C levels but negatively affected insulin requirements.
  • Stem cells possess self-renewal and differentiation capabilities but carry a paradoxical risk of cancer formation.

Conclusions:

  • Stem cell therapy presents a complex risk-benefit profile for diabetes management.
  • The potential for cancer formation necessitates caution among healthcare providers and patients.
  • Further research prioritizing risk-benefit assessment is critical for advancing stem cell therapy in diabetes treatment.

Related Concept Videos

Stem Cell Therapy for Tissue Regeneration01:21

Stem Cell Therapy for Tissue Regeneration

Stem cell therapy is a method used in regenerative medicine to repair and restore function to damaged tissues and organs. Stem cells have the potential to proliferate and differentiate into various tissue types, making them ideal candidates for tissue regeneration. For example, hematopoietic stem cell transplants are commonly used in blood cancer treatment to replenish damaged bone marrow and restore healthy blood cells.
Types of Stem Cells used in Stem Cell Therapy
The two main cell...
4.7K
Induced Pluripotent Stem Cells01:13

Induced Pluripotent Stem Cells

Stem cells are undifferentiated cells that divide and produce different types of cells. Ordinarily, cells that have differentiated into a specific cell type are post-mitotic—that is, they no longer divide. However, scientists have found a way to reprogram these mature cells so that they “de-differentiate” and return to an unspecialized, proliferative state. These cells are also pluripotent like embryonic stem cells—able to produce all cell types—and are therefore...
28.0K
Embryonic Stem Cells00:58

Embryonic Stem Cells

Embryonic stem (ES) cells are undifferentiated pluripotent cells, meaning they can produce any cell type in the body. This gives them tremendous potential in science and medicine since they can generate specific cell types for use in research or to replace body cells lost due to damage or disease.
32.4K
Benefits of Self-Esteem01:25

Benefits of Self-Esteem

Self-esteem—an individual's overall evaluation of their worth—plays a complex role in psychological functioning and well-being. It is often associated with many positive traits, such as confidence, optimism, and perseverance. Individuals with high self-esteem typically experience better sleep, manage peer pressure more effectively, and report greater life satisfaction. Conversely, low self-esteem has been consistently linked with increased risks of depression, anxiety, and poor...
199
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K