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Diyabeti Olan ve Diyabeti Olmayan Hastaların Kültür İdentifikasyon Yöntemleri ile Bağırsak Mikrobiyota Çeşitliliğinin Karşılaştırılması

Yıl 2025, Sayı: 12, 24 - 32, 07.08.2025
https://doi.org/10.58252/artukluhealth.1674801

Öz

Giriş: Bu çalışmada, diyabetli ve diyabetli olmayan bireylerin bağırsak mikrobiyota çeşitliliği kültür tabanlı yöntemlerle karşılaştırılmış, elde edilen bulgular literatürle ilişkilendirilerek değerlendirilmiştir. Amaç, disbiyozun diyabet gelişimindeki olası rolünü ortaya koymaktır.
Yöntem: 25/11/2020–15/04/2021 tarihleri arasında Adıyaman Üniversitesi Hastanesi'ne dışkı analizi için gönderilen 237 örneğe kültür ve identifikasyon uygulanmış; aynı hastalardan alınan serum örneklerinde glukoz ve hemoglobin A1c düzeyleri belirlenmiştir. Veriler Statistical Package for the Social Sciences 23.0 ile analiz edilmiştir.
Bulgular: Dışkı örneklerinde en fazla üç farklı bakteri türü saptanmıştır. Tek tür bakteri üremesi diyabetli hastalarda (n=86) diyabetli olmayanlara (n=72) göre daha fazladır. İki tür üreme diyabetli olmayanlarda (n=37), diyabetlilere (n=14) kıyasla daha yaygındır. Üç tür bakteri ise sadece diyabeti olmayan iki hastada tespit edilmiştir. Ayrıca, Escherichia coli genellikle diyabetli bireylerde tek başına üremiştir.
Sonuç: Bu bulgular, bağırsak mikrobiyotasının metabolik hastalık riskini değerlendirmede potansiyel bir biyobelirteç olabileceğini göstermektedir. Ayrıca, mikrobiyota kompozisyonunun önceden analiz edilmesiyle diyabet gelişiminin önlenebileceği düşünülmektedir.

Etik Beyan

Araştırmanın yapılabilmesi için Adıyaman Üniversitesi Girişimsel Olmayan Klinik Araştırmalar Etik Kurulu’ndan (Tarih: 20/10/2020, Sayı: 2020/9- 14) etik kurul izni alınmıştır. Bu çalışmanın hazırlanma sürecinde bilimsel ve etik ilkelere uyulduğu ve yararlanılan tüm çalışmaların kaynakçada belirtildiği beyan olunur. Bu çalışmanın hazırlanma sürecinde yapay zeka tabanlı herhangi bir araç veya uygulama kullanılmamıştır. Çalışmanın tüm içeriği, yazar(lar) tarafından bilimsel araştırma yöntemleri ve akademik etik ilkelere uygun şekilde üretilmiştir.

Destekleyen Kurum

Bu çalışma için herhangi bir bütçe desteği yoktur.

Kaynakça

  • American Diabetes Association. (2021). Classification and diagnosis of diabetes: Standards of medical care in diabetes. Retrieved April 18, 2021, from https://care.diabetesjournals.org/content/42/Supplement_1/S13
  • Boyko, E. J., Fihn, S. D., Scholes, D., Abraham, L., and Monsey, B. (2005). Risk of urinary tract infection and asymptomatic bacteriuria among diabetic and nondiabetic postmenopausal women. American Journal of Epidemiology, 161(6), 557–564. https://doi.org/10.1093/aje/kwi091
  • Chen, Z., Radjabzadeh, D., Chen, L., Kurilshikov, A., Kavousi, M., Ahmadizar, F., Ikram, M. A., Uitterlinden, A. G., Zhernakova, A., Fu, J., Kraaij, R., and Voortman, T. (2021). Association of insulin resistance and type 2 diabetes with gut microbial diversity: A microbiome-wide analysis from population studies. JAMA Network Open, 4(7), e2118811. https://doi.org/10.1001/jamanetworkopen.2021.18811
  • Cheng, H. Y., Ning, M. X., Chen, D. K., and Ma, W. T. (2019). Interactions between the gut microbiota and the host innate immune response against pathogens. Frontiers in Immunology, 10, 607. https://doi.org/10.3389/fimmu.2019.00607
  • Cingöz, A. B. (2022). Bağırsak mikrobiyotası insülin direnci ve diyabet ilişkisi. Journal of Natural Life Medicine, 4(2), 33–34. https://doi.org/10.36578/jnl.v4i2.220
  • Fassatoui, M., Lopez-Siles, M., Díaz-Rizzolo, D. A., Jmel, H., Naouali, C., and Abdessalem, G. (2019). Gut microbiota imbalances in Tunisian participants with type 1 and type 2 diabetes mellitus. Bioscience Reports, 39(6), BSR20192163. https://doi.org/10.1042/BSR20192163
  • Franz, C. M., Huch, M., Abriouel, H., Holzapfel, W., and Gálvez, A. (2011). Enterococci as probiotics and their implications in food safety. International Journal of Food Microbiology, 151(2), 125–140. https://doi.org/10.1016/j.ijfoodmicro.2011.08.014
  • Geerlings, S. E. (2008). Urinary tract infections in patients with diabetes mellitus: Epidemiology, pathogenesis and treatment. International Journal of Antimicrobial Agents, 31(1), 54–57. https://doi.org/10.1016/j.ijantimicag.2007.06.009
  • Hollister, E. B., Gao, C., and Versalovic, J. (2014). Compositional and functional features of the gastrointestinal microbiome and their effects on human health. Gastroenterology, 146(6), 1449–1458. https://doi.org/10.1053/j.gastro.2014.01.052
  • Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., ... and Bäckhed, F. (2013). Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature, 498(7452), 99–103. https://doi.org/10.1038/nature12198
  • Kostic, A. D., Gevers, D., and Siljander, H. (2015). The dynamics of the human infant gut microbiome in development and in progression toward type 1 diabetes. Cell Host & Microbe, 17(2), 260–273. https://doi.org/10.1016/j.chom.2015.01.001
  • Lackey, D. E., and Olefsky, J. M. (2016). Regulation of metabolism by the innate immune system. Nature Reviews Endocrinology, 12(1), 15–28. https://doi.org/10.1038/nrendo.2015.189
  • Lazar, V., Ditu, L. M., Pircalabioru, G. G., Picu, A., and Petcu, L. (2019). Gut microbiota, host organism and diet trialogue in diabetes and obesity. Frontiers in Nutrition, 6, 21. https://doi.org/10.3389/fnut.2019.00021 Lloyd-Price, J., Abu-Ali, G., and Huttenhower, C. (2016). The healthy human microbiome. Genome Medicine, 8(1), 51. https://doi.org/10.1186/s13073-016-0307-y
  • Muller, L. M. A. J., Gorter, K. J., Hak, E., Goudzwaard, W. L., Schellevis, F. G., Hoepelman, A. I. M., and Rutten, G. E. H. M. (2005). Increased risk of common infections in patients with type 1 and type 2 diabetes mellitus. Clinical Infectious Diseases, 41(3), 281–288. https://doi.org/10.1086/431587
  • Nitzan, O., Elias, M., Chazan, B., and Saliba, W. (2015). Urinary tract infections in patients with type 2 diabetes mellitus: Review of prevalence, diagnosis, and management. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 8, 129–136. https://doi.org/10.2147/DMSO.S51792
  • Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., ... and Wang, J. (2012). A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature, 490(7418), 55–60. https://doi.org/10.1038/nature11450
  • Sankar, S. A., Lagier, J. C., and Pantarotti, P. (2015). The human gut microbiome, a taxonomic conundrum. Systematic and Applied Microbiology, 38(4), 276–286. https://doi.org/10.1016/j.syapm.2015.03.005
  • Saltiel, A. R., and Olefsky, J. M. (2017). Inflammatory mechanisms linking obesity and metabolic disease. The Journal of Clinical Investigation, 127(1), 1–4. https://doi.org/10.1172/JCI88882
  • Sharma, S., and Tripathi, P. (2019). Gut microbiome and type 2 diabetes: Where we are and where to go? Journal of Nutritional Biochemistry, 63, 101–108. https://doi.org/10.1016/j.jnutbio.2018.11.006
  • Wang, M., Monaco, M. H., and Donovan, S. M. (2016). Impact of early gut microbiota on immune and metabolic development and function. Seminars in Fetal and Neonatal Medicine, 21(6), 380–387. https://doi.org/10.1016/j.siny.2016.05.001

Comparison of İntestinal Bacterial Diversity in Diabetic and Non-Diabetic Patients Using Culture İdentification Methods

Yıl 2025, Sayı: 12, 24 - 32, 07.08.2025
https://doi.org/10.58252/artukluhealth.1674801

Öz

Introduction: Human intestinal microbiota is thought to play a role in the pathogenesis of obesity and insulin resistance. This study aimed to compare the diversity of intestinal microbiota of diabetic and non-diabetic patients using bacteriological culture and identification methods.
Methods: In this study, bacteriological culture and identification procedures were applied to 237 samples sent from various clinics to the Culture Laboratory of XXX University Education and Research Hospital for stool analysis between 2020-2021. In addition, glucose and Hemoglobin A1c values were determined in serum samples taken simultaneously from patients to whom stool samples were sent. Statistical analysis of the data obtained from the study was performed using the SPSS 23.0 package program.
Results: When the stool samples sent to our laboratory were examined in terms of species number and variety, a maximum of three types of microorganisms were detected in the media, and it was determined that diabetic patients (86 people) were numerically more than non-diabetic patients (72 people) in the media where only one (single) growth occurred. In the media with two types of microorganisms, it was observed that there were more non-diabetic patients (37 people) than diabetic patients (14 people). Three types of microorganisms were not seen in diabetic patients at all, but were detected in two people in the non-diabetic group.
Conclusion: These results suggest that microbiota can be used as a marker in determining the risk and etiopathogenesis of metabolic diseases, and the formation of diabetes can be delayed or prevented with the previously analyzed gastrointestinal system microbiota composition.

Etik Beyan

Ethical approval was obtained from Adıyaman University Non-Interventional Clinical Research Ethics Committee (Date: 20/10/2020, REF: 2020/9- 14) before data collection. It is declared that scientific and ethical principles were complied with during the preparation of this study and all the studies used in this study were cited in the bibliography. No artificial intelligence-based tools or applications were utilized in the preparation of this manuscript. All content was generated solely by the author(s) in adherence to scientific research methodologies and academic ethical standards.

Destekleyen Kurum

No external funding was used to support this research.

Kaynakça

  • American Diabetes Association. (2021). Classification and diagnosis of diabetes: Standards of medical care in diabetes. Retrieved April 18, 2021, from https://care.diabetesjournals.org/content/42/Supplement_1/S13
  • Boyko, E. J., Fihn, S. D., Scholes, D., Abraham, L., and Monsey, B. (2005). Risk of urinary tract infection and asymptomatic bacteriuria among diabetic and nondiabetic postmenopausal women. American Journal of Epidemiology, 161(6), 557–564. https://doi.org/10.1093/aje/kwi091
  • Chen, Z., Radjabzadeh, D., Chen, L., Kurilshikov, A., Kavousi, M., Ahmadizar, F., Ikram, M. A., Uitterlinden, A. G., Zhernakova, A., Fu, J., Kraaij, R., and Voortman, T. (2021). Association of insulin resistance and type 2 diabetes with gut microbial diversity: A microbiome-wide analysis from population studies. JAMA Network Open, 4(7), e2118811. https://doi.org/10.1001/jamanetworkopen.2021.18811
  • Cheng, H. Y., Ning, M. X., Chen, D. K., and Ma, W. T. (2019). Interactions between the gut microbiota and the host innate immune response against pathogens. Frontiers in Immunology, 10, 607. https://doi.org/10.3389/fimmu.2019.00607
  • Cingöz, A. B. (2022). Bağırsak mikrobiyotası insülin direnci ve diyabet ilişkisi. Journal of Natural Life Medicine, 4(2), 33–34. https://doi.org/10.36578/jnl.v4i2.220
  • Fassatoui, M., Lopez-Siles, M., Díaz-Rizzolo, D. A., Jmel, H., Naouali, C., and Abdessalem, G. (2019). Gut microbiota imbalances in Tunisian participants with type 1 and type 2 diabetes mellitus. Bioscience Reports, 39(6), BSR20192163. https://doi.org/10.1042/BSR20192163
  • Franz, C. M., Huch, M., Abriouel, H., Holzapfel, W., and Gálvez, A. (2011). Enterococci as probiotics and their implications in food safety. International Journal of Food Microbiology, 151(2), 125–140. https://doi.org/10.1016/j.ijfoodmicro.2011.08.014
  • Geerlings, S. E. (2008). Urinary tract infections in patients with diabetes mellitus: Epidemiology, pathogenesis and treatment. International Journal of Antimicrobial Agents, 31(1), 54–57. https://doi.org/10.1016/j.ijantimicag.2007.06.009
  • Hollister, E. B., Gao, C., and Versalovic, J. (2014). Compositional and functional features of the gastrointestinal microbiome and their effects on human health. Gastroenterology, 146(6), 1449–1458. https://doi.org/10.1053/j.gastro.2014.01.052
  • Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., ... and Bäckhed, F. (2013). Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature, 498(7452), 99–103. https://doi.org/10.1038/nature12198
  • Kostic, A. D., Gevers, D., and Siljander, H. (2015). The dynamics of the human infant gut microbiome in development and in progression toward type 1 diabetes. Cell Host & Microbe, 17(2), 260–273. https://doi.org/10.1016/j.chom.2015.01.001
  • Lackey, D. E., and Olefsky, J. M. (2016). Regulation of metabolism by the innate immune system. Nature Reviews Endocrinology, 12(1), 15–28. https://doi.org/10.1038/nrendo.2015.189
  • Lazar, V., Ditu, L. M., Pircalabioru, G. G., Picu, A., and Petcu, L. (2019). Gut microbiota, host organism and diet trialogue in diabetes and obesity. Frontiers in Nutrition, 6, 21. https://doi.org/10.3389/fnut.2019.00021 Lloyd-Price, J., Abu-Ali, G., and Huttenhower, C. (2016). The healthy human microbiome. Genome Medicine, 8(1), 51. https://doi.org/10.1186/s13073-016-0307-y
  • Muller, L. M. A. J., Gorter, K. J., Hak, E., Goudzwaard, W. L., Schellevis, F. G., Hoepelman, A. I. M., and Rutten, G. E. H. M. (2005). Increased risk of common infections in patients with type 1 and type 2 diabetes mellitus. Clinical Infectious Diseases, 41(3), 281–288. https://doi.org/10.1086/431587
  • Nitzan, O., Elias, M., Chazan, B., and Saliba, W. (2015). Urinary tract infections in patients with type 2 diabetes mellitus: Review of prevalence, diagnosis, and management. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 8, 129–136. https://doi.org/10.2147/DMSO.S51792
  • Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., ... and Wang, J. (2012). A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature, 490(7418), 55–60. https://doi.org/10.1038/nature11450
  • Sankar, S. A., Lagier, J. C., and Pantarotti, P. (2015). The human gut microbiome, a taxonomic conundrum. Systematic and Applied Microbiology, 38(4), 276–286. https://doi.org/10.1016/j.syapm.2015.03.005
  • Saltiel, A. R., and Olefsky, J. M. (2017). Inflammatory mechanisms linking obesity and metabolic disease. The Journal of Clinical Investigation, 127(1), 1–4. https://doi.org/10.1172/JCI88882
  • Sharma, S., and Tripathi, P. (2019). Gut microbiome and type 2 diabetes: Where we are and where to go? Journal of Nutritional Biochemistry, 63, 101–108. https://doi.org/10.1016/j.jnutbio.2018.11.006
  • Wang, M., Monaco, M. H., and Donovan, S. M. (2016). Impact of early gut microbiota on immune and metabolic development and function. Seminars in Fetal and Neonatal Medicine, 21(6), 380–387. https://doi.org/10.1016/j.siny.2016.05.001
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Tıbbi Mikrobiyoloji (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Arif İrfan Turan 0000-0001-5025-4189

Sadık Akgün 0000-0002-1413-0450

Hakan Temiz 0000-0002-3402-2625

Yayımlanma Tarihi 7 Ağustos 2025
Gönderilme Tarihi 13 Nisan 2025
Kabul Tarihi 16 Temmuz 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 12

Kaynak Göster

APA Turan, A. İ., Akgün, S., & Temiz, H. (2025). Diyabeti Olan ve Diyabeti Olmayan Hastaların Kültür İdentifikasyon Yöntemleri ile Bağırsak Mikrobiyota Çeşitliliğinin Karşılaştırılması. Artuklu Health(12), 24-32. https://doi.org/10.58252/artukluhealth.1674801

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