Tumour protein 53 is linked with type 2 diabetes mellitus

Śliwińska, Agnieszka; Kasznicki, Jacek; Kosmalski, Marcin; Mikołajczyk, Melania; Rogalska, Aneta; Przybyłowska, Karolina; Majsterek, Ireneusz; Drzewoski, Józef

doi:10.4103/ijmr.ijmr_1401_15

Cited by 19 publications

(12 citation statements)

References 17 publications

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“…A recent study suggested that p53 plays a significant role in the development of metabolic diseases, including DM, and further that p53 may also be consequential to tumor suppression [26]. Sliwinska et al, 2017, suggested that TP53 may be linked with type 2 DM [27]. The fluctuations of serum TP53 level may reflect metabolic and oxidative stress associated with chronic hyperglycemia.…”

Section: Resultsmentioning

confidence: 99%

A correlation study between hyperthyroidism and some apoptosis markers among Iraqi patients

Maaroof

Ibraheem

Ibrahim

2021

eijs

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This study was carried out in the Center of Endocrinology and Diabetes in Baghdad during the period between October 2019 to February 2020. The aim was to measure the level of some apoptosis markers and some autoimmune antibodies related to the thyroid gland in Iraqi patients with hyperthyroidism and evaluate the correlation between all the measured parameters. The study included 88 patients who were divided into three groups; group 1 included 30 newly diagnosed hyperthyroidism patients (24 females, 6 males); group 2 included 30 patients of hyperthyroidism who were under treatment (28, 2 males); group 3 included 28 healthy individuals as control group (22 females, 6 males). Most of the patient's ages ranged between 40 to 60 years (73.3%), while60.7% of the control group were within the same age category. The highest rate of disease was in females compared with males (86.7% vs. 13.3%). The current study included 30% of newly diagnosed hyperthyroid patients and 30% of patients undergoing treatment for a while. The majority of the hyperthyroidism patients, both newly diagnosed and treated, were overweight, and they accounted for 53.3% of each group. Highly significant differences (p=0.001) were found in the level of TNF-α in the newly diagnosed and under treatment patient groups in comparison with the level in the control group. The results show a significant decrease in TNF-α level in the treated patients as compared to its levels in the other groups, which indicates that this factor is affected by the given therapy. It was found that 25% of the patients with hyperthyroidism were suffering from diabetes, with a significant correlation (p=0.009) between hyperthyroidism and diabetes mellitus. It was observed that these patients have a significant increase (p=0.038) in the level of p53 as compared to its level in patients with non-diabetic hyperthyroidism patients and healthy subjects. This study shows a non-significant negative correlation between TNF-α and TSH levels (r= -0.06) and a non-significant positive correlation between TNF-α and p53 levels (r= 0.17) in hyperthyroidism patients. The positive correlations between some apoptosis markers and anti-TSHR antibodies and between TSH and these antibodies in hyperthyroidism patients refers to an increase in the concentration of apoptosis markers, which may lead to an increase in the levels of thyroid autoantibodies, which affects thyroid tissue potency and increases thyroid hormone production.

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Section: Resultsmentioning

confidence: 99%

A correlation study between hyperthyroidism and some apoptosis markers among Iraqi patients

Maaroof

Ibraheem

Ibrahim

2021

eijs

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“…In the beta cells, TP53 mediates gluco- and lipotoxicity and induces apoptosis [ 106 ]. In patients with type 2 diabetes, the level of TP53 increased with the age, duration of diabetes, and waist-to-hip ratio [ 107 ].…”

Section: Resultsmentioning

confidence: 99%

Bioinformatic Reconstruction and Analysis of Gene Networks Related to Glucose Variability in Diabetes and Its Complications

Saik

Климонтов

2020

IJMS

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Glucose variability (GV) has been recognized recently as a promoter of complications and therapeutic targets in diabetes. The aim of this study was to reconstruct and analyze gene networks related to GV in diabetes and its complications. For network analysis, we used the ANDSystem that provides automatic network reconstruction and analysis based on text mining. The network of GV consisted of 37 genes/proteins associated with both hyperglycemia and hypoglycemia. Cardiovascular system, pancreas, adipose and muscle tissues, gastrointestinal tract, and kidney were recognized as the loci with the highest expression of GV-related genes. According to Gene Ontology enrichment analysis, these genes are associated with insulin secretion, glucose metabolism, glycogen biosynthesis, gluconeogenesis, MAPK and JAK-STAT cascades, protein kinase B signaling, cell proliferation, nitric oxide biosynthesis, etc. GV-related genes were found to occupy central positions in the networks of diabetes complications (cardiovascular disease, diabetic nephropathy, retinopathy, and neuropathy) and were associated with response to hypoxia. Gene prioritization analysis identified new gene candidates (THBS1, FN1, HSP90AA1, EGFR, MAPK1, STAT3, TP53, EGF, GSK3B, and PTEN) potentially involved in GV. The results expand the understanding of the molecular mechanisms of the GV phenomenon in diabetes and provide molecular markers and therapeutic targets for future research.

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“…TP53, cellular tumor antigen p53, is a stress-sensitive transcription factor responsible for controlling cell survival and death to prevent tumor formation [ 63 ]. TP53 has been found to inhibit glycolysis and to be involved in oxidative stress, the TP53 gene polymorphism marker Pro72Arg has been associated with DPN pathogenesis [ 64 ], and TP53 serum levels are significantly increased in patients with T2DM [ 65 ], so it is hypothesized that TP53 may play an important role in metabolic diseases such as diabetes. The molecular docking results showed that the active ingredients of the key compounds in YQHXTLF were able to bind stably to TP53, MAPK1, JUN, and STAT3.…”

Section: Discussionmentioning

confidence: 99%

Network Pharmacology and Molecular Docking Study on the Potential Mechanism of Yi-Qi-Huo-Xue-Tong-Luo Formula in Treating Diabetic Peripheral Neuropathy

Lin

Shen

Wang

et al. 2021

Journal of Diabetes Research

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Objective. To investigate the potential mechanism of action of Yi-Qi-Huo-Xue-Tong-Luo formula (YQHXTLF) in the treatment of diabetic peripheral neuropathy (DPN). Methods. Network pharmacology and molecular docking techniques were used in this study. Firstly, the active ingredients and the corresponding targets of YQHXTLF were retrieved using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) platform; subsequently, the targets related to DPN were retrieved using GeneCards, Online Mendelian Inheritance in Man (OMIM), Pharmgkb, Therapeutic Target Database (TTD) and Drugbank databases; the common targets of YQHXTLF and DPN were obtained by Venn diagram; afterwards, the “YQHXTLF Pharmacodynamic Component-DPN Target” regulatory network was visualized using Cytoscape 3.6.1 software, and Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed on the potential targets using R 3.6.3 software. Finally, molecular docking of the main chemical components in the PPI network with the core targets was verified by Autodock Vina software. Results. A total of 86 active ingredients and 229 targets in YQHXTLF were screened, and 81 active ingredients and 110 targets were identified to be closely related to diabetic peripheral neuropathy disease. PPI network mapping identified TP53, MAPK1, JUN, and STAT3 as possible core targets. KEGG pathway analysis showed that these targets are mostly involved in AGE-RAGE signaling pathway in diabetic complications, TNF signaling pathway, and MAPK signaling pathway. The molecular docking results showed that the main chemical components of YQHXTLF have a stable binding activity to the core pivotal targets. Conclusion. YQHXTLF may act on TP53, MAPK1, JUN, and STAT3 to regulate inflammatory response, apoptosis, or proliferation as a molecular mechanism for the treatment of diabetic peripheral neuropathy, reflecting its multitarget and multipathway action, and providing new ideas to further uncover its pharmacological basis and mechanism of action.

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Tumour protein 53 is linked with type 2 diabetes mellitus

Cited by 19 publications

References 17 publications

A correlation study between hyperthyroidism and some apoptosis markers among Iraqi patients

A correlation study between hyperthyroidism and some apoptosis markers among Iraqi patients

Bioinformatic Reconstruction and Analysis of Gene Networks Related to Glucose Variability in Diabetes and Its Complications

Network Pharmacology and Molecular Docking Study on the Potential Mechanism of Yi-Qi-Huo-Xue-Tong-Luo Formula in Treating Diabetic Peripheral Neuropathy

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