Impact of HbA1c control and type 2 diabetes mellitus exposure on the oral microbiome profile in the elderly population

被引:4
作者
Zeng, Xin [1 ]
Huang, Shuqi [2 ,3 ]
Ye, Xin [1 ]
Song, Siping [4 ]
He, Jing [5 ]
Hu, Liwei [6 ]
Deng, Sicheng [1 ]
Liu, Fan [2 ,3 ,7 ,8 ]
机构
[1] Sichuan Univ, West China Sch Nursing, Chengdu, Peoples R China
[2] Sichuan Univ, West China Hosp Stomatol, Nursing Dept, State Key Lab Oral Dis, Chengdu, Peoples R China
[3] Sichuan Univ, West China Hosp Stomatol, Natl Clin Res Ctr Oral Dis, Chengdu, Peoples R China
[4] Sichuan Univ, West China Hosp Stomatol, Post anesthesia Care Unit, Chengdu, Peoples R China
[5] Sichuan Univ, West China Hosp Stomatol, Dept Oral Mucosal Dis, Chengdu, Peoples R China
[6] Sichuan Univ, West China Hosp Stomatol, Dept Oral Surg, Chengdu, Peoples R China
[7] Innovat Ctr Nursing Res, Nursing Key Lab Sichuan Prov, Chengdu, Peoples R China
[8] Sichuan Univ, West China Hosp Stomatol, Dept Nursing, 14,Sect 3,Renmin South Rd, Chengdu 610044, Sichuan, Peoples R China
关键词
Elderly individuals; type 2 diabetes mellitus; oral microbiome; glycated haemoglobin; diabetes duration; SEQUENCES;
D O I
10.1080/20002297.2024.2345942
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
ObjectiveTo investigate the associations of the oral microbiome status with diabetes characteristics in elderly patients with type 2 diabetes mellitus.MethodsA questionnaire was used to assess age, sex, smoking status, drinking status, flossing frequency, T2DM duration and complications, and a blood test was used to determine the glycated haemoglobin (HbA1c) level. Sequencing of the V3-V4 region of the 16S rRNA gene from saliva samples was used to analyze the oral microbiome.ResultsDifferential analysis revealed that Streptococcus and Weissella were significantly enriched in the late-stage group, and Capnocytophaga was significantly enriched in the early-stage group. Correlation analysis revealed that diabetes duration was positively correlated with the abundance of Streptococcus (r= 0.369, p= 0.007) and negatively correlated with the abundance of Cardiobacterium (r= -0.337, p= 0.014), and the level of HbA1c was not significantly correlated with the oral microbiome. Network analysis suggested that the poor control group had a more complex microbial network than the control group, a pattern that was similar for diabetes duration. In addition, Streptococcus has a low correlation with other microorganisms.ConclusionIn elderly individuals, Streptococcus emerges as a potential biomarker linked to diabetes, exhibiting elevated abundance in diabetic patients influenced by disease exposure and limited bacterial interactions.
引用
收藏
页数:9
相关论文
共 44 条
  • [31] Is HbA1c a risk factor for type 2 diabetic subjects without macro and micro vascular complications?
    Bhaktha, Geetha
    Nayak, B. Shivananda
    Mayya, Sreemathi
    Shantaram, Manjula
    ARCHIVES OF PHYSIOLOGY AND BIOCHEMISTRY, 2012, 118 (02) : 69 - 71
  • [32] Association of poor sleep and HbA1c in metformin-treated patients with type 2 diabetes: Findings from the UK Biobank cohort study
    Xue, Pei
    Tan, Xiao
    Benedict, Christian
    JOURNAL OF SLEEP RESEARCH, 2023, 32 (05)
  • [33] HbA1c in adults without known diabetes from southern Europe. Impact of the new diagnostic criteria in clinical practice
    Bernal-Lopez, M. R.
    Santamaria-Fernandez, S.
    Lopez-Carmona, D.
    Tinahones, F. J.
    Mancera-Romero, J.
    Pena-Jimenez, D.
    Jansen-Chaparro, S.
    Baca-Osorio, A. J.
    Cuesta-Munoz, A. L.
    Serrano-Rios, M.
    Gomez-Huelgas, R.
    DIABETIC MEDICINE, 2011, 28 (11) : 1319 - 1322
  • [34] Clinically meaningful and lasting HbA1c improvement rarely occurs after 5 years of type 1 diabetes: an argument for early, targeted and aggressive intervention following diagnosis
    Nirantharakumar, Krishnarajah
    Mohammed, Nuredin
    Toulis, Konstantinos A.
    Thomas, G. Neil
    Narendran, Parth
    DIABETOLOGIA, 2018, 61 (05) : 1064 - 1070
  • [35] HbA1c levels and all-cause mortality in type 2 diabetic patients: Epidemiological evidence of the need for personalised therapeutic targets
    Monami, M.
    Vitale, V.
    Lamanna, C.
    Bartoli, N.
    Martelli, D.
    Zannoni, S.
    Antenore, A.
    Toffanello, G.
    Marchionni, N.
    Mannucci, E.
    NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, 2013, 23 (04) : 300 - 306
  • [36] Clinically meaningful and lasting HbA1c improvement rarely occurs after 5 years of type 1 diabetes: an argument for early, targeted and aggressive intervention following diagnosis
    Krishnarajah Nirantharakumar
    Nuredin Mohammed
    Konstantinos A. Toulis
    G. Neil Thomas
    Parth Narendran
    Diabetologia, 2018, 61 : 1064 - 1070
  • [37] Effects of long-term HbA1c variability on serious infection risks in patients with type 2 diabetes and the influence of age, sex and ethnicity: A cohort study of primary care data
    Carey, Iain M.
    Critchley, Julia A.
    Chaudhry, Umar A. R.
    Cook, Derek G.
    DeWilde, Stephen
    Limb, Elizabeth S.
    Bowen, Liza
    Woolford, Stephen
    Whincup, Peter H.
    Sattar, Naveed
    Panahloo, Arshia
    Harris, Tess
    DIABETES RESEARCH AND CLINICAL PRACTICE, 2024, 211
  • [38] Inverse association between plasma homocysteine concentrations and type 2 diabetes mellitus among a middle-aged and elderly Chinese population
    Yu, C.
    Wang, J.
    Wang, F.
    Han, X.
    Hu, H.
    Yuan, J.
    Miao, X.
    Yao, P.
    Wei, S.
    Wang, Y.
    Liang, Y.
    Chen, W.
    Zhang, X.
    Guo, H.
    Yang, H.
    Tang, Y.
    Zheng, D.
    Wu, T.
    He, M.
    NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, 2018, 28 (03) : 278 - 284
  • [39] A Target HbA1c Between 7 and 7.7% Reduces Microvascular and Macrovascular Events in T2D Regardless of Duration of Diabetes: a Meta-Analysis of Randomized Controlled Trials
    Sinha, Binayak
    Ghosal, Samit
    DIABETES THERAPY, 2021, 12 (06) : 1661 - 1676
  • [40] A Target HbA1c Between 7 and 7.7% Reduces Microvascular and Macrovascular Events in T2D Regardless of Duration of Diabetes: a Meta-Analysis of Randomized Controlled Trials
    Binayak Sinha
    Samit Ghosal
    Diabetes Therapy, 2021, 12 : 1661 - 1676