Abstract
Studies examined the connection between antibiotic exposure in urine and dysglycemia risk (including prediabetes and diabetes) in the elderly were limited. Multiple linear regression, binary logistic regression, restricted cubic splines (RCS), and stratified analysis were applied to analyze the relationship between antibiotic exposure and dysglycemia risk. We observed that sulfaclozine exposure 0.07 (95% confidence interval [CI]: 0.01–0.23) significantly increased fasting blood glucose (FBG) level. By mechanism, usage, and antimicrobial action, sulfonamides 0.08 (95% CI: 0.06–0.36), veterinary antibiotics (VA) 0.07 (95% CI: 0.01–0.30), or bacteriostatic antibiotics 0.07 (95% CI: 0.02–0.29) significantly increased FBG level. Additionally, sulfaclozine exposure 1.54 (95% CI: 1.02–2.33) resulted in a higher dysglycemia risk, while doxycycline exposure 0.53 (95% CI: 0.30–0.95) resulted in a lower dysglycemia risk. By mechanism, usage, and antimicrobial action, sulfonamides 1.44 (95% CI: 1.02–2.04), VA 1.68 (95% CI: 1.21–2.35), or bacteriostatic antibiotics 1.40 (95% CI: 1.02–1.93) exposure had a higher dysglycemia risk. Taken together, exposure to sulfonamides, VA, especially sulfaclozine, was correlated with a higher dysglycemia risk in the elderly. Exposure to bacteriostatic antibiotics was associated with a higher dysglycemia risk in the female.
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The datasets generated and analyzed during the current study are not publicly available due to the privacy of our research group but are available from the corresponding author on reasonable request.
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Acknowledgements
We thank all the staff and students who made contributions to the cohort study. We thank all the study participants for their support. We are deeply grateful for the help provided by all the members in the experimental center platform for physical and chemical of the Anhui Medical University. This work was supported by the National Natural Science Foundation of China (82073558) and Key Project of Natural Science Research in Colleges and Universities of Anhui Province (KJ2018A0164).
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This work was supported by the National Natural Science Foundation of China (82073558), Key Projects of Natural Science Research in Colleges and Universities of Anhui province (KJ2018A0164), and Major Projects on College Leading Talent Team Introduced of Anhui (0303011224).
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SY contributed to formal analysis, data curation, and writing. LK, LG, YZ, XL, YS, QW, SW, DZ, and HC contributed to investigation and resources. KL contributed to investigation, conceptualization, methodology, and supervision. FT contributed to validation, conceptualization and supervision.
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Yu, S., Kong, L., Gu, L. et al. Typical antibiotic exposure and dysglycemia risk in an elderly Chinese population. Environ Sci Pollut Res 29, 59701–59711 (2022). https://doi.org/10.1007/s11356-022-20056-w
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DOI: https://doi.org/10.1007/s11356-022-20056-w