Dys-R Questionnaire: A Novel Screening Tool for Dysbiosis Linked to Impaired Gut Microbiota Richness

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art_BALMANT_DysR_Questionnaire_A_Novel_Screening_Tool_for_Dysbiosis_2023.PDF (2.48 MB)
Citações na Scopus
0
Tipo de produção
article
Data de publicação
2023
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
MDPI
Autores
Citação
NUTRIENTS, v.15, n.19, article ID 4261, 12p, 2023
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Practical and affordable tools to screen intestinal dysbiosis are needed to support clinical decision making. Our study aimed to design a new subjective screening tool for the risk of intestinal dysbiosis from a previously described nonvalidated questionnaire (DYS/FQM) and based on subjective and objective data. A total of 219 individuals comprised the chronic diseases (CD; n = 167) and healthy control (HC; 52 subjects) groups. Sociodemographic, anthropometric, body composition, lifestyle, past history, intestinal health, and dietary data were collected. The gut microbiota (GM) profile was assessed from fecal samples using the 16S rRNA sequencing. Scores for the new tool (Dys-R Questionnaire) were assigned using discrete optimization techniques. The association between Dys-R scores and dysbiosis risk was assessed through correlation, simple linear models, sensitivity, specificity, as well as positive and negative predictive values. We found significant differences in the Chao1 Index between CD and HC groups (adjusted p-value = 0.029), highlighting lower GM richness as the primary marker for intestinal dysbiosis. DYS/FQM showed poor performance in identifying poor GM richness. Dys-R exhibited a 42% sensitivity, 82% specificity, 79% positive predictive value (PPV), and 55% negative predictive value (NPV) to identify poor GM richness. The new Dys-R questionnaire showed good performance in ruling out dysbiosis.
Palavras-chave
gastrointestinal microbiome, dysbiosis, chronic diseases, biodiversity, microbiota
URI
https://observatorio.fm.usp.br/handle/OPI/57427
Referências
  1. Aggarwal D, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-64739-1
  2. Athanasopoulou K, 2023, BIOMEDICINES, V11, DOI 10.3390/biomedicines11030827
  3. Balmant BD, 2023, NUTRIENTS, V15, DOI 10.3390/nu15081999
  4. Beccati A, 2017, BMC BIOINFORMATICS, V18, DOI 10.1186/s12859-017-1841-3
  5. Bello MGD, 2018, SCIENCE, V362, P33, DOI 10.1126/science.aau8816
  6. Birchenough GMH, 2023, CELL REP, V42, DOI 10.1016/j.celrep.2023.112084
  7. Bourdeau-Julien I, 2023, MICROBIOME, V11, DOI 10.1186/s40168-023-01469-2
  8. Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
  9. Chen LH, 2020, DIGEST DIS SCI, V65, P1111, DOI 10.1007/s10620-019-05828-8
  10. Clauss M, 2021, FRONT NUTR, V8, DOI 10.3389/fnut.2021.637010
  11. David LA, 2014, GENOME BIOL, V15, DOI 10.1186/gb-2014-15-7-r89
  12. Dinan TG, 2017, GASTROENTEROL CLIN N, V46, P77, DOI 10.1016/j.gtc.2016.09.007
  13. Do MH, 2018, NUTRIENTS, V10, DOI 10.3390/nu10060761
  14. Federici S, 2022, CELL, V185, P2879, DOI 10.1016/j.cell.2022.07.003
  15. Ghosh TS, 2022, NAT REV GASTRO HEPAT, V19, P565, DOI 10.1038/s41575-022-00605-x
  16. Hrncir T, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10030578
  17. Le Chatelier E, 2013, NATURE, V500, P541, DOI 10.1038/nature12506
  18. Levy M, 2017, NAT REV IMMUNOL, V17, P219, DOI 10.1038/nri.2017.7
  19. Li ZX, 2022, FRONT NEUROSCI-SWITZ, V16, DOI 10.3389/fnins.2022.879318
  20. Liu Y, 2022, FRONT NUTR, V8, DOI 10.3389/fnut.2021.634897
  21. Mousa WK, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.825338
  22. Okipney A., 2020, Braspen J, V35, P149, DOI [10.37111/braspenj.2020352008, DOI 10.37111/BRASPENJ.2020352008]
  23. Pant A, 2023, MICROB ECOL, V86, P97, DOI 10.1007/s00248-022-02081-x
  24. Panwar RB, 2021, GENES IMMUN, V22, P255, DOI 10.1038/s41435-021-00129-5
  25. Parkin K, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9102066
  26. Patangia DV, 2022, MICROBIOLOGYOPEN, V11, DOI 10.1002/mbo3.1260
  27. Pires DEV, 2018, bioRxiv, DOI [10.1101/263293, 10.1101/263293, DOI 10.1101/263293]
  28. Putignani L, 2016, INFLAMM BOWEL DIS, V22, P487, DOI 10.1097/MIB.0000000000000602
  29. Ramirez J, 2020, FRONT CELL INFECT MI, V10, DOI 10.3389/fcimb.2020.572912
  30. Rodrigues C., 2023, Gastroenterol. Hepatol. Open Access, V14, P53, DOI [10.15406/ghoa.2023.14.00545, DOI 10.15406/GHOA.2023.14.00545]
  31. Talapko J, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10122405
  32. Vieira SM, 2018, SCIENCE, V359, P1156, DOI 10.1126/science.aar7201
  33. Vijay A, 2022, EUR J CLIN NUTR, V76, P489, DOI 10.1038/s41430-021-00991-6
  34. Wang M, 2015, J PEDIATR GASTR NUTR, V60, P825, DOI 10.1097/MPG.0000000000000752
  35. Wei SD, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.00395-21
  36. Willis AD, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02407
  37. Wu H, 2020, CELL METAB, V32, P379, DOI 10.1016/j.cmet.2020.06.011
  38. Yen S, 2021, MAMM GENOME, V32, P282, DOI 10.1007/s00335-021-09889-x
  39. Zong X, 2020, ANIM NUTR, V6, P389, DOI 10.1016/j.aninu.2020.09.002

Coleções
Artigos e Materiais de Revistas Científicas - FM/MGT
Artigos e Materiais de Revistas Científicas - HC/ICHC
Artigos e Materiais de Revistas Científicas - LIM/35