295
Views
3
CrossRef citations to date
0
Altmetric
Original Research

A Pilot Study: Composition and Diversity of 16S rRNA Based Skin Bacterial Microbiome in Indonesian Atopic Dermatitis Population

, , , , , , ORCID Icon, ORCID Icon & show all
Pages 1737-1744 | Published online: 19 Nov 2021

References

  • Simpson EL, Leung DYM, Eichenfield LF, et al. Atopic dermatitis. In: Kang S, Amagai M, Bruckner AL, Enk AH, Margolis DJ, McMichael AJ, editors. Fitzpatrick’s Dermatology. 9th ed. New York: McGraw Hill; 2019:363–384.
  • Kapur S, Watson W, Carr S. Atopic dermatitis. Allergy Asthma Clin Immunol. 2018;14(2):43–52. doi:10.1186/s13223-018-0281-6
  • Barbeau M, Bpharm HL. Burden of atopic dermatitis in Canada. Int J Dermatol. 2006;45(1):31–36. doi:10.1111/j.1365-4632.2004.02345.x
  • Kim JK, Kim BE, Leung DYM. Pathophysiology of atopic dermatitis: clinical implications. Allergy Asthma Proc. 2019;40(2):84–92. doi:10.2500/aap.2019.40.4202
  • Kong HH, Oh J, Deming C. Temporal shifts in the skin microbiome associated with disease flares and treatment in children with atopic dermatitis. Genome Res. 2012;22(5):850–859. doi:10.1101/gr.131029.111
  • Williams MR, Gallo RL. The role of the skin microbiome in atopic dermatitis. Curr Allergy Asthma Rep. 2015;15(11):65. doi:10.1007/s11882-015-0567-4
  • Flores GE, Seité S, Henley JB, et al. Microbiome of affected and unaffected skin of patients with atopic dermatitis before and after emollient treatment. J Drugs Dermatol. 2014;13(11):611–618.
  • Dekio I, Sakamoto M, Hayashi H. Characterization of skin microbiota in patients with atopic dermatitis and in normal subjects using 16S rRNA gene-based comprehensive analysis. J Med Microbiol. 2007;56:1675–1683.
  • Kim MH, Rho M, Choi JP, et al. A metagenomic analysis provides a culture-independent pathogen detection for atopic dermatitis. Allergy Asthma Immunol Res. 2017;9(5):453–461. doi:10.4168/aair.2017.9.5.453
  • Silverberg JI, Lei D, Yousaf M, et al. What are the best endpoints for eczema area and severity index and scoring atopic dermatitis in clinical practice? A prospective observational study. Br J Dermatol. 2021;184(5):888–895. doi:10.1111/bjd.19457
  • Magoč T, Salzberg SL. FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinform. 2011;27(21):2957–2963. doi:10.1093/bioinformatics/btr507
  • Bokulich NA, Subramanian S, Faith JJ, et al. Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nat Methods. 2013;10(1):57–59. doi:10.1038/nmeth.2276
  • Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7(5):335–336. doi:10.1038/nmeth.f.303
  • Edgar RC, Haas BJ, Clemente JC, et al. UCHIME improves sensitivity and speed of chimera detection. Bioinform. 2011;27(16):2194–2200. doi:10.1093/bioinformatics/btr381
  • Haas BJ, Gevers D, Earl AM, et al. Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. Genome Res. 2011;21(3):494–504. doi:10.1101/gr.112730.110
  • Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods. 2013;10(10):996–998. doi:10.1038/nmeth.2604
  • Wang Q, Garrity GM, Tiedje JM, et al. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007;73(16):5261–5267. doi:10.1128/AEM.00062-07
  • Quast C, Pruesse E, Yilmaz P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013;41:D590–D596.
  • Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32(5):1792–1797. doi:10.1093/nar/gkh340
  • Catinean A, Neag MA, Mitre AO, Bocsan CI, Buzoianu AD. Microbiota and immune-mediated skin diseases—An overview. Microorganisms. 2019;7(9):279. doi:10.3390/microorganisms7090279
  • Nørreslet LB, Agner T, Clausen ML. The skin microbiome in inflammatory skin diseases. Curr Dermatol Rep. 2020;9(2):141–151. doi:10.1007/s13671-020-00297-z
  • Fahlén A, Engstrand L, Baker BS, Powles A, Fry L. Comparison of bacterial microbiota in skin biopsies from normal and psoriatic skin. Arch Dermatol Res. 2012;304(1):15–22. doi:10.1007/s00403-011-1189-x
  • Ganju P, Nagpal S, Mohammed M, et al. Microbial community profiling shows dysbiosis in the lesional skin of Vitiligo subjects. Sci Rep. 2016;6(1):18761. doi:10.1038/srep18761
  • Gao Z, Tseng C, Pei Z, Blaser MJ. Molecular analysis of human forearm superficial skin bacterial biota. Proc Natl Acad Sci USA. 2007;104(8):2927–2932. doi:10.1073/pnas.0607077104
  • Grice EA, Kong HH, Renaud G, et al. A diversity profile of the human skin microbiota. Genome Res. 2008;18(7):1043–1050. doi:10.1101/gr.075549.107
  • Grice EA. Topographical and temporal diversity of the human skin microbiome. Science. 2009;3(24):1190–1192. doi:10.1126/science.1171700
  • Fierer N, Hamady M, Lauber CL, Knight R. The influence of sex, handedness, and washing on the diversity of hand surface bacteria. Proc Natl Acad Sci USA. 2008;105(17):994–999. doi:10.1073/pnas.0807920105
  • Towell AM, Feuillie C, Vitry P, et al. Staphylococcus aureus binds to the N-terminal region of corneodesmosin to adhere to the stratum corneum in atopic dermatitis. Proc Natl Acad Sci USA. 2021;118(1):e2014444118. doi:10.1073/pnas.2014444118
  • Olesen CM, Ingham AC, Thomsen SF, et al. Changes in skin and nasal microbiome and Staphylococcal species following treatment of atopic dermatitis with dupilumab. Microorganisms. 2021;9(7):1487. doi:10.3390/microorganisms9071487
  • Khadka VD, Key FM, Romo-González C, et al. The skin microbiome of patients with atopic dermatitis normalizes gradually during treatment. Front Cell Infect Microbiol. 2021:910. doi:10.3389/fcimb.2021.720674
  • Germida J, Casida LE. Ensifer adhaerens predatory activity against other bacteria in soil, as monitored by indirect phage analysis. Appl Environ Microbiol. 1983;45(4):1380–1388. doi:10.1128/aem.45.4.1380-1388.1983
  • Pratiwi C, Rahayu WP, Lioe HN, Herawati D, Broto W, Ambarwati S. The effect of temperature and relative humidity for Aspergillus flavus BIO 2237 growth and aflatoxin production on soybeans. Int Food Res J. 2015;22(1):82–87.