Global Research Trends of Gut Microbiota in Gestational Diabetes Mellitus: A Bibliometric and Visualized Analysis

Dilara Ülger Özbek; Ecem Demir Yurtseven

doi:10.7197/cmj.1586064

TR EN

Gestasyonel Diyabet Mellitus'ta Bağırsak Mikrobiyotasının Küresel Araştırma Eğilimleri: Bibliyometrik ve Görselleştirilmiş Analiz

Öz

Amaç: Gestasyonel Diyabet Mellitus (GDM), küresel anlamda büyük ekonomik yük getiren ve hem annelerin hem de bebeklerin sağlığında büyük riskler oluşturan metabolik bir durumdur. Bağırsak mikrobiyotasının diyabetteki rolü üzerine yapılan araştırmalar dikkat çekicidir. Bu çalışma, diyabetin bağırsak florasıyla bağlantısını araştıran araştırmalardaki eğilimleri ve temel bileşenleri analiz etmeyi amaçlamaktadır. Metot: 14 Şubat 2024'te Web of Science Core Collection veritabanından (WoS) GDM'deki bağırsak mikrobiyotası üzerine yayınlar elde edilerek, bu konudaki ilk çalışmanın yapıldığı 2009 yılından günümüze kadar olan dönemi kapsamaktadır. Bibliyometrik analizde, RStudio (Biblioshiny) ve VOSviewer (1.6.17) yazılımları kullanıldı. Editöryal materyal, derlemeler, mektuplar çalışmaya dahil edilmemiştir. Bulgular: Bu çalışmada toplam 254 makale elde edildi. Yayın sayısı 2017'den bu yana artış eğilimi gösterse de, konuyla ilgili en fazla çalışma 2022'de 56 bilimsel makale ile yapılmıştır. Endokrin metabolizması en fazla yayın yapan alandır. Ortak varlık analiziyle belirlendiği üzere en sık kullanılan terimler bağırsak mikrobiyotası, obezite ve gebeliktir. Sonuçlar: Bu, GDM'de bağırsak mikrobiyotası üzerine yapılan ilk bibliyometrik analizdir. GDM'de bağırsak mikrobiyotası üzerine çalışmalar yalnızca son 16 yıldır yürütülmektedir. GDM ve bağırsak mikrobiyotası üzerine yapılan araştırmalar artışta olup araştırmacıların giderek daha fazla ilgisini çekmektedir. İleriye bakıldığında, bağırsak mikrobiyotasının diyabet araştırmaları alanında merkezi bir odak olmaya devam edeceği açıktır.

Anahtar Kelimeler

Global Research Trends of Gut Microbiota in Gestational Diabetes Mellitus: A Bibliometric and Visualized Analysis

Abstract

Objective: Gestational Diabetes Mellitus (GDM) is a metabolic condition that imposes a great economic burden on the global scale and poses great risks to the health of both mothers and babies. Studies on the role of intestinal microbiota in diabetes are remarkable. This study aims to analyze the trends and basic components in studies investigating the relationship between diabetes and intestinal flora. Methods: Publications on intestinal microbiota in GDM were obtained from the Web of Science Core Collection database (WoS) on February 14, 2024, covering the period from 2009, when the first study on this subject was conducted, to the present. RStudio (Biblioshiny) and VOSviewer (1.6.17) software were used in the bibliometric analysis. Editorial material, reviews, and letters were not included in the study. Results: A total of 254 articles were obtained in this study. Although the number of publications has been increasing since 2017, the most studies on the subject were conducted in 2022 with 56 scientific articles. Endocrine metabolism is the field with the most publications. The most frequently used terms, as determined by the commonality analysis, are gut microbiota, obesity, and pregnancy. Conclusions: This is the first bibliometric analysis on gut microbiota in GDM. Studies on gut microbiota in GDM have only been conducted in the last 16 years. Research on GDM and gut microbiota is increasing and attracting more and more attention from researchers. Looking ahead, it is clear that gut microbiota will continue to be a central focus in the field of diabetes research.

Keywords

Destekleyen Kurum

None declared by the authors.

Etik Beyan

Study that does not require ethical approvalektirmeyen çalışma

Teşekkür

None declared by the authors

Kaynakça

1. Association AD. Addendum. 2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46 (Suppl. 1): S19-S40. Diabetes care. 2023;46(9):1715.doi:https://doi.org/10.2337/dc23-ad08.
2. Saucedo R, Ortega-Camarillo C, Ferreira-Hermosillo A, Díaz-Velázquez MF, Meixueiro-Calderón C, Valencia-Ortega J. Role of oxidative stress and inflammation in gestational diabetes mellitus. Antioxidants. 2023;12(10):1812.doi:https: //doi.org/10.3390/antiox12101812.
3. Magliano DJ, Boyko EJ, Atlas ID. What is diabetes? IDF DIABETES ATLAS [Internet] 10th edition: International Diabetes Federation 2021.
4. Dodd JM, Crowther CA, Antoniou G, Baghurst P, Robinson JS. Screening for gestational diabetes: the effect of varying blood glucose definitions in the prediction of adverse maternal and infant health outcomes. Australian and New Zealand Journal of Obstetrics and Gynaecology. 2007;47(4):307-312.doi:https://doi.org/10.1111/j.1479-828X.2007.00743.x.
5. Pettitt DJ, Knowler WC, Baird HR, Bennett PH. Gestational diabetes: infant and maternal complications of pregnancy in relation to third-trimester glucose tolerance in the Pima Indians. Diabetes care. 1980;3(3):458-464.doi:https:// doi.org/10.2337/diacare.3.3.458.
6. Mohan D, Chandrasekaran S. Gestational Diabetes Mellitus in Asian Indian Population: Pathophysiology and Mechanism. Journal of the Indian Institute of Science. 2023:1-6.doi:https://doi.org/10.1007/s41745-023-00367-8
7. Sililas P, Huang L, Thonusin C, Luewan S, Chattipakorn N, Chattipakorn Set al.Tongsong T. Association between gut microbiota and development of gestational diabetes mellitus. Microorganisms. 2021;9(8):1686.doi:https:// doi.org/10.3390/microorganisms9081686.
8. Barr JJ. A bacteriophages journey through the human body. Immunological Reviews. 2017;279(1):106-122.doi:https:// doi.org/10.1111/imr.12565.

9. Alipour M, Zaidi D, Valcheva R, Jovel J, Martínez I, Sergi Cet al.Dieleman LA. Mucosal barrier depletion and loss of bacterial diversity are primary abnormalities in paediatric ulcerative colitis. Journal of Crohn's and Colitis. 2016;10(4):462-471.doi:https://doi.org/10.1093/ecco-jcc/jjv223.
10. Quan L-H, Zhang C, Dong M, Jiang J, Xu H, Yan Cet al.Chen L. Myristoleic acid produced by enterococci reduces obesity through brown adipose tissue activation. Gut. 2020;69(7):1239-1247.doi:https://doi.org/10.1136/gutjnl-2019-319114.
11. Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, Bastelica Det al.Chabo C. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes. 2007;56(7):1761-1772.doi:https://doi.org/10.2337/db06-1491.
12. Schroeder BO, Bäckhed F. Signals from the gut microbiota to distant organs in physiology and disease. Nature medicine. 2016;22(10):1079-1089.doi:https://doi.org/10.1038/nm.4185.
13. Koren O, Goodrich JK, Cullender TC, Spor A, Laitinen K, Bäckhed HKet al.Knight R. Host remodeling of the gut microbiome and metabolic changes during pregnancy. Cell. 2012;150(3):470-480.doi:https://doi.org/10.1016/j.cell.2012.07.008.
14. Fraher MH, O'toole PW, Quigley EM. Techniques used to characterize the gut microbiota: a guide for the clinician. Nature reviews Gastroenterology & hepatology. 2012;9(6):312-322.doi:https://doi.org/ 10.1038/nrgastro.2012.44.
15. Demir E, Ozkan H, Seckin KD, Sahtiyancı B, Demir B, Tabak Oet al.Uzun H. Plasma zonulin levels as a non-invasive biomarker of intestinal permeability in women with gestational diabetes mellitus. Biomolecules. 2019;9(1):24.doi:https://doi.org/10.3390/biom9010024.
16. Tran BX, Pham TV, Ha GH, Ngo AT, Nguyen LH, Vu TTMet al.Tran TT. A bibliometric analysis of the global research trend in child maltreatment. International journal of environmental research and public health. 2018;15(7):1456.doi:https://doi.org/10.3390/ijerph15071456.
17. Chen C, Song M. Visualizing a field of research: A methodology of systematic scientometric reviews. PloS one. 2019;14(10):e0223994.doi:https://doi.org/10.1371/journal.pone.0223994.
18. Team RC. RA language and environment for statistical computing, R Foundation for Statistical. Computing. 2020. Available from: https://www.R-project.org/.
19. van Eck NJ. Methodological advances in bibliometric mapping of science 2011.
20. Chen C. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for information Science and Technology. 2006;57(3):359-377.doi:https://doi.org/10. 1002/asi.20317.
21. Berk Ş, Özdemir S, Pektaş AN. Visualization of scientific production in Caenorhabditis elegans: a bibliometric analysis (1980–2023). Genomics and Informatics. 2024;22(1):1-15.doi: https://doi.org/10.1186/s44342-024-00002.
22. Li H-Y, Zhou D-D, Gan R-Y, Huang S-Y, Zhao C-N, Shang Aet al.Li H-B. Effects and mechanisms of probiotics, prebiotics, synbiotics, and postbiotics on metabolic diseases targeting gut microbiota: A narrative review. Nutrients. 2021;13(9):3211.doi:https://doi.org/10.3390/nu13093211.
23. Hasain Z, Mokhtar NM, Kamaruddin NA, Mohamed Ismail NA, Razalli NH, Gnanou JVet al.Raja Ali RA. Gut microbiota and gestational diabetes mellitus: a review of host-gut microbiota interactions and their therapeutic potential. Frontiers in cellular and infection microbiology. 2020;10:188.doi:https://doi.org/10.3389/fcimb.2020.00188.
24. Ponzo V, Fedele D, Goitre I, Leone F, Lezo A, Monzeglio Cet al.Bo S. Diet-gut microbiota interactions and gestational diabetes mellitus (GDM). Nutrients. 2019;11(2):330. doi:https://doi.org/10.3390/nu11020330.
25. Liu H, Pan L-L, Lv S, Yang Q, Zhang H, Chen Wet al.Sun J. Alterations of gut microbiota and blood lipidome in gestational diabetes mellitus with hyperlipidemia. Frontiers in Physiology. 2019;10:1015.doi:https://doi.org/10.3389/ fphys.2019.01015.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Uygulama Bilimi ve Değerlendirme

Bölüm

Araştırma Makalesi

Yazarlar

Dilara Ülger Özbek ^*
0000-0002-6834-020X
Türkiye

Ecem Demir Yurtseven
0000-0001-9714-0672
Türkiye

Yayımlanma Tarihi

31 Aralık 2024

Gönderilme Tarihi

15 Kasım 2024

Kabul Tarihi

17 Aralık 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 46 Sayı: 4

DOI

https://doi.org/10.7197/cmj.1586064

IZ

https://izlik.org/JA67SU26NS

Kaynak Göster

RIS / Bibtex

AMA

1.Ülger Özbek D, Demir Yurtseven E. Global Research Trends of Gut Microbiota in Gestational Diabetes Mellitus: A Bibliometric and Visualized Analysis. CMJ. 2024;46(4):270-279. doi:10.7197/cmj.1586064