scholarly journals Antibiotic Consumption Patterns in European Countries Might Be Associated with the Prevalence of Diabetes Type-1-2 (T1D, T2D)

2021 ◽  
Author(s):  
Gábor Ternák ◽  
Márton Németh ◽  
Martin Rozanovic ◽  
Lajos Bogár
Keyword(s):  
Broad Spectrum ◽  
Antibiotic Consumption ◽  
Diabetes Type ◽  
Variance Analysis ◽  
European Countries ◽  
Diabetes Type 1 ◽  
Beta Lactamase ◽  
Narrow Spectrum ◽  
High Prevalence

Abstract: Several publications have raised the issue that the development of diabetes is preceded by alteration of the microbiome (dysbiosis) and hence, the role of environmental factors, triggering dysbiosis, should be considered. Antibiotics are powerful agents inducing dysbiosis and the authors wanted to explore the possible relationship between the consumption of different major classes of antibiotics and the prevalence of diabetes (type-1, /T1D/, type-2 /T2D/) in thirty European countries. According to our hypothesis, if such association exists, the dominant use of certain major antibiotic classes might be reflected in the prevalence of T1D and T2D in different countries. Comparisons were performed between the prevalence of diabetes (T1D and T2D) estimated for 2019 and featured in the Diabetes Atlas with the average yearly consumption of major antibiotic classes of the previous 10 years (2010-19) extracted from the ECDC yearly reports on antibiotic consumption in Europe. Pearson correlation and variance analysis were used to estimate the possible relationship. Strong, positive (enhancer) associations were found between the prevalence of T1D and the consumption of tetracycline (J01A /p: 0.001/) and the narrow spectrum penicillin (J01CE /p: 0,006/, CF /p: 0.018/). Strong negative (inhibitor) association was observed with broad-spectrum, beta-lactamase resistant penicillin (J01CR /p: 0.003/), macrolide (J01F /p: 0.008/) and quinolone (J01M /p: 0.001/). T2D showed significant positive associations with cephalosporin (J01D /p: 0.048/) and quinolone (J01M /p: 0.025/), and a non-significant negative association was detected with broad-spectrum, beta-lactamase-sensitive penicillin (J01CA /p: 0.67/). Countries with the highest prevalence of diabetes (first 10 positions) showed concordance with the higher consumption of “enhancer” and the lower consumption of “inhibitor” antibiotics (first 10 positions) as indicated by variance analysis. Countries with high prevalence of T1D showed high consumption of tetracycline (p: 0.015), and narrow spectrum, beta-lactamase sensitive penicillin (p: 0.008), and low consumption of “inhibitor” antibiotics (broad-spectrum, beta-lactamase resistant, combination penicillin (p: 0.005), cephalosporin (p: 0.036), and quinolone (p: 0.003). Countries with a high prevalence of T2D consumed more cephalosporin (p: 0.084), quinolone (p: 0.54), and less broad-spectrum, beta-lactamase sensitive penicillin (p: 0.012) than other countries. Conclusion/Interpretation: The development of diabetes-related dysbiosis might be attached to higher consumption of specific classes of antibiotics, showing positive (enhancer) associations with the prevalence of diabetes, and the low consumption of other classes of antibiotics shoving negative (inhibitory) associations. Those groups of antibiotics are different in T1D and T2D

scholarly journals Possible Role of the Antibiotic-Modified Microbiome in the Development of Hematological Malignancies in European Countries

2022 ◽  
Author(s):  
Gábor Ternák ◽  
Károly Berényi ◽  
Balázs Németh ◽  
Ágnes Szenczi ◽  
István Kiss
Keyword(s):  
Hematological Malignancies ◽  
Significant Negative Correlation ◽  
Antibiotic Consumption ◽  
European Countries ◽  
Beta Lactamase ◽  
Gut Flora ◽  
Narrow Spectrum ◽  
Non Hodgkin Lymphoma ◽  
Etiological Agents

Hematological malignancies are considered the fifth most common cancer in the world. Several risk factors and probable etiological agents have been suspected in the pathomechanism of those malignancies as infections, chemicals, irradiation, etc., and recently, the contribution of the altered gut flora, dysbiosis, was identified also as a possible additional factor to the existing ones. Host, and external factors, like antibiotics, which were identified as a major disruptor of the "normal" gut flora, influence the composition of the microbiome. Considering the several-fold differences in antibiotic consumption patterns and the incidence of hematological malignancies in European countries, the hypothesis was raised that the dominant consumption of certain antibiotic classes might influence the incidence of different hematological malignancies through the modification of gut flora. Comparisons were performed between the average antibiotic consumption databases reported yearly by ECDC (2009-2019) and the incidence rate of Hodkin lymphoma (HL), non-Hodgkin lymphoma (NHL), multiple myeloma (MM), and leukemia (LEU) estimated for 2020 in 30 European countries. Applying Spearman calculations, significant positive correlation has been found between the incidence of HL and tetracycline (J01A) consumption (r = 0.399, p = 0,029), NHL and narrow spectrum, beta-lactamase resistant penicillin (J01CF) (r = 0.580, p = 0,001), MM and tetracycline (r = 0.492, p = 0.006), penicillin (J01C) (r = 0.366, p = 0.047), narrow spectrum, beta-lactamase resistant penicillin (J01CF) (r = 0.574, p = 0.001), while strong, significant negative correlation has been recorded between NHL and cephalosporin (r = -0,460, p = 0,011), and quinolone (r = -0,380, p = 0,038). The incidence of LEU did not show any positive or negative association with any antibiotic classes. It is concluded that certain antibiotic classes, in addition to other putative factors, might promote or inhibit the development of different hematological malignancies.

scholarly journals Inverse association between use of broad spectrum penicllin with beta-lactamase inhibitors and prevalence of type 1 diabetes mellitus in Europe

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gábor Ternák ◽  
Károly Berényi ◽  
Szilárd Kun ◽  
Nóra Szigeti ◽  
Tamás Decsi ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Environmental Factors ◽  
Broad Spectrum ◽  
International Diabetes Federation ◽  
Inverse Correlation ◽  
Mitochondrial Enzymes ◽  
Inverse Association ◽  
Beta Lactamase ◽  
Narrow Spectrum

AbstractIncreasing incidence of type 1 diabetes is supposed to be induced by environmental factors. Microbiome modulated by antibiotics seems to serve as one of the environmental factors which could influence the development of T1DM. Mitochondria, as autochthonous environmental bacteria living in our cells, and other bacteria share many common enzymes including beta-lactamases and it is supported by evidence that some beta-lactamase inhibitors are able to interact with counterpart enzymes. Thus, antibiotics may utilize two different pathways influencing the development of T1DM; one through modulation of microbiome and a second one via the interaction of mitochondrial enzymes. Data of consumption of penicillin (both narrow and broad spectrum) and beta-lactamase inhibitors in 30 European countries were collected from the database of the European Centre for Disease Prevention and Control. These data were correlated with the prevalence reported by the International Diabetes Federation (2019) referring to type 1 diabetes in Europe. No correlation was found between total penicillin consumption or use of broad spectrum penicillin and the prevalence of type 1 diabetes. Nevertheless, broad spectrum penicillin, in combination with beta-lactamase inhibitor, was in inverse correlation with the prevalence of type 1 diabetes (r = − 0.573, p = 0.001). On the other hand, narrow spectrum penicillin was in positive correlation with type 1 diabetes (r = 0.523, p = 0.003). Prevalence of type 1 diabetes showed an inverse correlation with the use of beta-lactamase inhibitors and a positive one with that of narrow spectrum penicillin. Such a detailed analysis has not so far been provided referring to the penicillin group. In the background of this association either microbiomal or direct mitochondrial effects can be supposed.

Pediatric Self-Efficacy for Diabetes-Type-1 Scale--German Version

2020 ◽  
Author(s):  
Dominik Sethe ◽  
Arndt Büssing ◽  
Dörte Hilgard ◽  
Bettina Berger
Keyword(s):  
Self Efficacy ◽  
Diabetes Type ◽  
Diabetes Type 1 ◽  
German Version

Epidemiology from mellitus diabetes type 1, patients minor 15 years Costa Rica. 1990–99

2000 ◽  
Vol 50 ◽  
pp. 115
Author(s):  
L. Calzada ◽  
C. Fuscaldo ◽  
E. Artavia ◽  
Y. Estrada ◽  
L. Jaramillo ◽  
...  
Keyword(s):  
Costa Rica ◽  
Diabetes Type ◽  
Diabetes Type 1

Looking into a New Challenge, DKA and Covid-19 A Review on Pediatric DKA Cases during New Coronavirus Pandemic Who is to Blame, the Virus or Health System?

2021 ◽  
Vol 5 (7) ◽  
pp. 01-04
Author(s):  
Vida Tajiknia ◽  
Maryam Ghandali ◽  
Ardavan Ahmadvand ◽  
Ali Afrasiabi ◽  
Reza Pirdehghan ◽  
...  
Keyword(s):  
Immune System ◽  
Virus Infection ◽  
Pediatric Patients ◽  
Strong Association ◽  
Diabetes Type ◽  
Diabetes Type 1 ◽  
The World ◽  
Existing Data

Since the first month of this new pandemic situation, all around the world healthcare system has been facing different challenges and difficulties; patients with chronic diseases such as cancer or diabetes with impaired immune system were at greater risk of infections and complications. It goes without saying that this issue was extremely important among pediatric clinicians dealing with diabetic pediatrics. Diabetes is the number one chronic illness among pediatric patients and the most dangerous and frightened complication of it is Diabetic Ketoacidosis (DKA). Studies have shown a strong association between pandemic and increase in new diabetes type 1 cases and its lethal complication called DKA. Here we are going to take a look at existing data and report about cases with this condition trying to find the missing piece of a big puzzle; what is the role of Covid-19 in causing Diabetes in previously healthy kids and what is the real association between SARS-COV2 virus infection and DKA? We are going to review different studies, possible mechanism, new t1dm cases and old cases, with or without covid infection, DKA cases and its severity.

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