Thomas F Northrup1, Angela L Stotts2, Robert Suchting3, Georg E Matt4, Penelope J E Quintana5, Amir M Khan6, Charles Green7, Michelle R Klawans8, Mary Johnson9, Neal Benowitz10, Peyton Jacob11, Eunha Hoh12, Melbourne F Hovell13, Christopher J Stewart14. 1. Department of Family and Community Medicine, The University of Texas Health Science Center at Houston (UTHealth), McGovern Medical School, 6431 Fannin, JJL 324, Houston, TX, 77030, USA. Electronic address: Thomas.F.Northrup@uth.tmc.edu. 2. Department of Family and Community Medicine, Department of Psychiatry and Behavioral Sciences, UTHealth, McGovern Medical School, 6431 Fannin, JJL 324, Houston, TX, 77030, USA. Electronic address: Angela.L.Stotts@uth.tmc.edu. 3. Department of Psychiatry and Behavioral Sciences, UTHealth, McGovern Medical School, 1941 East Road, Houston, TX, 77030, USA. Electronic address: Robert.Suchting@uth.tmc.edu. 4. Department of Psychology, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-4611, USA. Electronic address: GMatt@sdsu.edu. 5. School of Public Health, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-4162, USA. Electronic address: jquintan@sdsu.edu. 6. Department of Pediatrics, UTHealth, McGovern Medical School, 6431 Fannin, MSB 3.236, Houston, TX, 77030, USA. Electronic address: Amir.M.Khan@uth.tmc.edu. 7. Department of Pediatrics, Center for Clinical Research and Evidence-Based Medicine, UTHealth, McGovern Medical School, 6431 Fannin, MSB 2.106, Houston, TX, 77030, USA. Electronic address: Charles.Green@uth.tmc.edu. 8. Department of Family and Community Medicine, UTHealth, McGovern Medical School, 6431 Fannin, JJL 324, Houston, TX, 77030, USA. Electronic address: Michelle.R.Klawans@uth.tmc.edu. 9. Department of Pediatrics, UTHealth, McGovern Medical School, 6431 Fannin, MSB 3.244, Houston, TX, 77030, USA. Electronic address: Mary.G.Johnson@uth.tmc.edu. 10. Department of Medicine, University of California San Francisco, 1001 Potrero Ave, SFGH 30, San Francisco, CA, 94143, USA. Electronic address: Neal.Benowitz@ucsf.edu. 11. Departments of Medicine and Psychiatry, University of California San Francisco, Division of Cardiology, Clinical Pharmacology Program, San Francisco General Hospital Medical Center, Box 1220, San Francisco, CA, 94143-1220, USA. Electronic address: Peyton.Jacob@ucsf.edu. 12. School of Public Health, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-4162, USA. Electronic address: ehoh@sdsu.edu. 13. Center for Behavioral Epidemiology and Community Health, School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 102, Mail Box 102, San Diego, CA, 92123-4388, USA. Electronic address: MHovell@sdsu.edu. 14. Translational and Clinical Research Institute, Newcastle University, Medical School, Framlington Place, Newcastle, NE2 4HH, UK. Electronic address: Christopher.Stewart@newcastle.ac.uk.
Abstract
INTRODUCTION: Microbiome differences have been found in adults who smoke cigarettes compared to non-smoking adults, but the impact of thirdhand smoke (THS; post-combustion tobacco residue) on hospitalized infants' rapidly developing gut microbiomes is unexplored. Our aim was to explore gut microbiome differences in infants admitted to a neonatal ICU (NICU) with varying THS-related exposure. METHODS: Forty-three mother-infant dyads (household member[s] smoke cigarettes, n = 32; no household smoking, n = 11) consented to a carbon monoxide-breath sample, bedside furniture nicotine wipes, infant-urine samples (for cotinine [nicotine's primary metabolite] assays), and stool collection (for 16S rRNA V4 gene sequencing). Negative binomial regression modeled relative abundances of 8 bacterial genera with THS exposure-related variables (i.e., household cigarette use, surface nicotine, and infant urine cotinine), controlling for gestational age, postnatal age, antibiotic use, and breastmilk feeding. Microbiome-diversity outcomes were modeled similarly. Bayesian posterior probabilities (PP) ≥75.0% were considered meaningful. RESULTS: A majority of infants (78%) were born pre-term. Infants from non-smoking homes and/or with lower NICU-furniture surface nicotine had greater microbiome alpha-diversity compared to infants from smoking households (PP ≥ 75.0%). Associations (with PP ≥ 75.0%) of selected bacterial genera with urine cotinine, surface nicotine, and/or household cigarette use were evidenced for 7 (of 8) modeled genera. For example, lower Bifidobacterium relative abundance associated with greater furniture nicotine (IRR<0.01 [<0.01, 64.02]; PP = 87.1%), urine cotinine (IRR = 0.08 [<0.01,2.84]; PP = 86.9%), and household smoking (IRR<0.01 [<0.01, 7.38]; PP = 96.0%; FDR p < 0.05). CONCLUSIONS: THS-related exposure was associated with microbiome differences in NICU-admitted infants. Additional research on effects of tobacco-related exposures on healthy infant gut-microbiome development is warranted.
INTRODUCTION: Microbiome differences have been found in adults who smoke cigarettes compared to non-smoking adults, but the impact of thirdhand smoke (THS; post-combustion tobacco residue) on hospitalized infants' rapidly developing gut microbiomes is unexplored. Our aim was to explore gut microbiome differences in infants admitted to a neonatal ICU (NICU) with varying THS-related exposure. METHODS: Forty-three mother-infant dyads (household member[s] smoke cigarettes, n = 32; no household smoking, n = 11) consented to a carbon monoxide-breath sample, bedside furniture nicotine wipes, infant-urine samples (for cotinine [nicotine's primary metabolite] assays), and stool collection (for 16S rRNA V4 gene sequencing). Negative binomial regression modeled relative abundances of 8 bacterial genera with THS exposure-related variables (i.e., household cigarette use, surface nicotine, and infant urine cotinine), controlling for gestational age, postnatal age, antibiotic use, and breastmilk feeding. Microbiome-diversity outcomes were modeled similarly. Bayesian posterior probabilities (PP) ≥75.0% were considered meaningful. RESULTS: A majority of infants (78%) were born pre-term. Infants from non-smoking homes and/or with lower NICU-furniture surface nicotine had greater microbiome alpha-diversity compared to infants from smoking households (PP ≥ 75.0%). Associations (with PP ≥ 75.0%) of selected bacterial genera with urine cotinine, surface nicotine, and/or household cigarette use were evidenced for 7 (of 8) modeled genera. For example, lower Bifidobacterium relative abundance associated with greater furniture nicotine (IRR<0.01 [<0.01, 64.02]; PP = 87.1%), urine cotinine (IRR = 0.08 [<0.01,2.84]; PP = 86.9%), and household smoking (IRR<0.01 [<0.01, 7.38]; PP = 96.0%; FDR p < 0.05). CONCLUSIONS: THS-related exposure was associated with microbiome differences in NICU-admitted infants. Additional research on effects of tobacco-related exposures on healthy infant gut-microbiome development is warranted.
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