The effect of the formalin-fixed paraffin-embedded process on salivary microbiota profiling
In recent years, bacterial DNA in formalin-fixed paraffin-embedded (FFPE) samples has been recognized as a valuable bioresource for microbiota studies. This study aimed to examine the effect of the FFPE process on microbiota profiling to evaluate whether FFPE samples could serve as an alternative bi...
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Published in | Biomedical Research Vol. 44; no. 3; pp. 117 - 126 |
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Main Authors | , , , , |
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Language | English |
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01.06.2023
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Abstract | In recent years, bacterial DNA in formalin-fixed paraffin-embedded (FFPE) samples has been recognized as a valuable bioresource for microbiota studies. This study aimed to examine the effect of the FFPE process on microbiota profiling to evaluate whether FFPE samples could serve as an alternative bioresource to fresh samples in oral microbiota studies. Fresh saliva was collected from nine subjects. The pellets obtained by centrifuging the collected saliva were fixed in formalin, then dehydrated and embedded in paraffin to prepare FFPE samples. The abundance of the hypervariable regions V1–9, V1–2, and V3–4 of the 16S rRNA gene in fresh and FFPE samples was relatively compared. In addition, microbiota profiling was performed to compare the results between the two sample types. The results showed that the FFPE process resulted in a certain degree of fragmentation of the 16S rRNA gene. However, the V1–2 region was relatively well-preserved compared to the V1–9 and V3–4 regions, suggesting that short regions are suitable targets for oral microbiota analysis. Importantly, there were no significant differences in alpha and beta diversity of microbiota between fresh and FFPE samples, and microbiota profiles were similar between the two sample types, suggesting that FFPE samples could be a valuable bioresource for oral microbiota studies. |
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AbstractList | In recent years, bacterial DNA in formalin-fixed paraffin-embedded (FFPE) samples has been recognized as a valuable bioresource for microbiota studies. This study aimed to examine the effect of the FFPE process on microbiota profiling to evaluate whether FFPE samples could serve as an alternative bioresource to fresh samples in oral microbiota studies. Fresh saliva was collected from nine subjects. The pellets obtained by centrifuging the collected saliva were fixed in formalin, then dehydrated and embedded in paraffin to prepare FFPE samples. The abundance of the hypervariable regions V1-9, V1-2, and V3-4 of the 16S rRNA gene in fresh and FFPE samples was relatively compared. In addition, microbiota profiling was performed to compare the results between the two sample types. The results showed that the FFPE process resulted in a certain degree of fragmentation of the 16S rRNA gene. However, the V1-2 region was relatively well-preserved compared to the V1-9 and V3-4 regions, suggesting that short regions are suitable targets for oral microbiota analysis. Importantly, there were no significant differences in alpha and beta diversity of microbiota between fresh and FFPE samples, and microbiota profiles were similar between the two sample types, suggesting that FFPE samples could be a valuable bioresource for oral microbiota studies. In recent years, bacterial DNA in formalin-fixed paraffin-embedded (FFPE) samples has been recognized as a valuable bioresource for microbiota studies. This study aimed to examine the effect of the FFPE process on microbiota profiling to evaluate whether FFPE samples could serve as an alternative bioresource to fresh samples in oral microbiota studies. Fresh saliva was collected from nine subjects. The pellets obtained by centrifuging the collected saliva were fixed in formalin, then dehydrated and embedded in paraffin to prepare FFPE samples. The abundance of the hypervariable regions V1-9, V1-2, and V3-4 of the 16S rRNA gene in fresh and FFPE samples was relatively compared. In addition, microbiota profiling was performed to compare the results between the two sample types. The results showed that the FFPE process resulted in a certain degree of fragmentation of the 16S rRNA gene. However, the V1-2 region was relatively well-preserved compared to the V1-9 and V3-4 regions, suggesting that short regions are suitable targets for oral microbiota analysis. Importantly, there were no significant differences in alpha and beta diversity of microbiota between fresh and FFPE samples, and microbiota profiles were similar between the two sample types, suggesting that FFPE samples could be a valuable bioresource for oral microbiota studies.In recent years, bacterial DNA in formalin-fixed paraffin-embedded (FFPE) samples has been recognized as a valuable bioresource for microbiota studies. This study aimed to examine the effect of the FFPE process on microbiota profiling to evaluate whether FFPE samples could serve as an alternative bioresource to fresh samples in oral microbiota studies. Fresh saliva was collected from nine subjects. The pellets obtained by centrifuging the collected saliva were fixed in formalin, then dehydrated and embedded in paraffin to prepare FFPE samples. The abundance of the hypervariable regions V1-9, V1-2, and V3-4 of the 16S rRNA gene in fresh and FFPE samples was relatively compared. In addition, microbiota profiling was performed to compare the results between the two sample types. The results showed that the FFPE process resulted in a certain degree of fragmentation of the 16S rRNA gene. However, the V1-2 region was relatively well-preserved compared to the V1-9 and V3-4 regions, suggesting that short regions are suitable targets for oral microbiota analysis. Importantly, there were no significant differences in alpha and beta diversity of microbiota between fresh and FFPE samples, and microbiota profiles were similar between the two sample types, suggesting that FFPE samples could be a valuable bioresource for oral microbiota studies. |
Author | SATO, Takuichi ONO, Junya SANO, Hiroto KANRI, Yoriaki OKADA, Yasuo |
Author_xml | – sequence: 1 fullname: SANO, Hiroto organization: The Nippon Dental University School of Life Dentistry at Niigata – sequence: 2 fullname: SATO, Takuichi organization: Niigata University – sequence: 3 fullname: KANRI, Yoriaki organization: The Nippon Dental University School of Life Dentistry at Niigata – sequence: 4 fullname: ONO, Junya organization: The Nippon Dental University School of Life Dentistry at Niigata – sequence: 5 fullname: OKADA, Yasuo organization: The Nippon Dental University School of Life Dentistry at Niigata |
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Cites_doi | 10.1038/448959a 10.1016/j.mimet.2022.106476 10.1136/gutjnl-2020-322457 10.3390/cancers13215421 10.3390/microorganisms8020308 10.1016/j.prp.2020.153174 10.1111/odi.13862 10.1093/biomethods/bpaa015 10.3389/fimmu.2020.591088 10.2220/biomedres.40.163 10.1016/S0002-9440(10)65461-2 10.1038/s41587-019-0209-9 10.3389/fnagi.2017.00195 10.3892/etm.2017.4797 10.1038/s41598-020-79874-y 10.1373/clinchem.2014.223040 10.1016/S0002-9440(10)64472-0 10.1186/s12885-019-5571-y 10.1016/j.cell.2022.02.027 10.1007/s00428-017-2213-0 10.1111/odi.12657 10.1038/nmeth.1184 10.1128/AEM.64.2.795-799.1998 10.1093/nar/gks808 10.1080/2162402X.2020.1800957 10.1186/gm481 10.1186/gb-2011-12-6-r60 10.1016/j.acthis.2018.09.005 10.1038/ismej.2012.8 |
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References | Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, et al. (2011) Metagenomic biomarker discovery and explanation. Genome Biol 12, R60. He Y, Gong D, Shi C, Shao F, Shi J, et al. (2017) Dysbiosis of oral buccal mucosa microbiota in patients with oral lichen planus. Oral Dis 23, 674–682. Nejman D, Livyatan I, Fuks G, Gavert N, Zwang Y, et al. (2020) The human tumor microbiome is composed of tumor type-specific intracellular bacteria. Science 368, 973–980. Bundgaard-Nielsen C, Baandrup UT, Nielsen LP and Sørensen S (2019) The presence of bacteria varies between colorectal adenocarcinomas, precursor lesions and non-malignant tissue. BMC Cancer 19, 399. Hamady M, Walker JJ, Harris JK, Gold NJ and Knight R (2008) Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex. Nat Methods 5, 235–237. Emery DC, Shoemark DK, Batstone TE, Waterfall CM, Coghill JA, et al. (2017) 16S rRNA next generation sequencing analysis shows bacteria in alzheimer’s post-mortem brain. Front Aging Neurosci 9, 195 Borgognone A, Serna G, Noguera-Julian M, Alonso L, Parera M, et al. (2021) Performance of 16S metagenomic profiling in formalin-fixed paraffin-embedded versus fresh-frozen colorectal cancer tissues. Cancers (Basel) 13, 5421. Zhu A, Yang X, Bai L, Hou Y, Guo C, et al. (2020) Analysis of microbial changes in the tonsillar formalin-fixed paraffin-embedded tissue of Chinese patients with IgA nephropathy. Pathol Res Pract 216, 153174. Cruz-Flores R, López-Carvallo JA, Cáceres-Martínez J and Dhar AK (2022) Microbiome analysis from formalin-fixed paraffin-embedded tissues: Current challenges and future perspectives. J Microbiol Methods 196, 106476. Fu A, Yao B, Dong T, Chen Y, Yao J, et al. (2022) Tumor-resident intracellular microbiota promotes metastatic colonization in breast cancer. Cell 185, 1356–1372.e26. Irfan M, Delgado RZR and Frias-Lopez J (2020) The oral microbiome and cancer. Front Immunol 11, 59108 Marchesi JR, Sato T, Weightman AJ, Martin TA, Fry JC, et al. (1998). Design and evaluation of useful bacterium-specific PCR primers that amplify genes coding for bacterial 16S rRNA. Appl Environ Microbiol 64, 795–799. Masi AC, Oppong YEA, Haugk B, Lamb CA, Sharp L, et al. (2021) Endoscopic ultrasound (EUS)-guided fine needle biopsy (FNB) formalin fixed paraffin-embedded (FFPE) pancreatic tissue samples are a potential resource for microbiota analysis. Gut 70, 999–1001. Watanabe M, Hashida S, Yamamoto H, Matsubara T, Ohtsuka T, et al. (2017) Estimation of age-related DNA degradation from formalin-fixed and paraffin-embedded tissue according to the extraction methods. Exp Ther Med 14, 2683–2688. Sah S, Chen L, Houghton J, Kemppainen J, Marko AC, et al. (2013) Functional DNA quantification guides accurate next-generation sequencing mutation detection in formalin-fixed, paraffin-embedded tumor biopsies. Genome Med 5, 77. Do H and Dobrovic A (2015) Sequence artifacts in DNA from formalin-fixed tissues: causes and strategies for minimization. Clin Chem 61, 64–71. Klindworth A, Pruesse E, Schweer T, Peplies J, Quast C, et al. (2013) Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res 41, e1. Zheng SW, Xu P, Cai LT, TanZW, Guo YT, et al. (2022) The presence of Prevotella melaninogenica within tissue and preliminary study on its role in the pathogenesis of oral lichen planus. Oral Dis 28, 1580–1590. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, et al. (2019) Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 37, 852–857. Vitošević K, Todorović M, Varljen T, Slović Ž, Matić S, et al. (2018) Effect of formalin fixation on pcr amplification of DNA isolated from healthy autopsy tissues. Acta Histochem 120, 780–788. Sano H, Wakui A, Kawachi M, Kato R, Moriyama S, et al. (2019) Profiling of microbiota in liquid baby formula consumed with an artificial nipple. Biomed Res (Tokyo) 40, 163–168. Debesa-Tur G, Pérez-Brocal V, Ruiz-Ruiz S, Castillejo A, Latorre A, et al. (2021) Metagenomic analysis of formalin-fixed paraffin-embedded tumor and normal mucosa reveals differences in the microbiome of colorectal cancer patients. Sci Rep 11, 391. Williams C, Pontén F, Moberg C, Söderkvist P, Uhlén M, et al. (1999) A high frequency of sequence alterations is due to formalin fixation of archival specimens. Am J Pathol 155, 1467–1471. Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Huntley J, et al. (2012) Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. Isme j 6, 1621–1624. Willis JR and Gabaldón T (2020) The human oral microbiome in health and disease: From sequences to ecosystems. Microorganisms 8, 308. Guyard A, Boyez A, Pujals A, Robe C, Tran Van Nhieu J, et al. (2017) DNA degrades during storage in formalin-fixed and paraffin-embedded tissue blocks. Virchows Arch 471, 491–500. Flores Bueso Y, Walker SP and Tangney M (2020) Characterization of FFPE-induced bacterial DNA damage and development of a repair method. Biol Methods Protoc 5, bpaa015. Blow N (2007) Tissue preparation: Tissue issues. Nature 448, 959–963. Srinivasan M, Sedmak D and Jewell S (2002) Effect of fixatives and tissue processing on the content and integrity of nucleic acids. Am J Pathol 161, 1961–1971. 22 23 24 25 26 27 28 29 10 11 12 13 14 15 16 17 18 19 1 2 3 4 5 6 7 8 9 20 21 |
References_xml | – reference: Borgognone A, Serna G, Noguera-Julian M, Alonso L, Parera M, et al. (2021) Performance of 16S metagenomic profiling in formalin-fixed paraffin-embedded versus fresh-frozen colorectal cancer tissues. Cancers (Basel) 13, 5421. – reference: Emery DC, Shoemark DK, Batstone TE, Waterfall CM, Coghill JA, et al. (2017) 16S rRNA next generation sequencing analysis shows bacteria in alzheimer’s post-mortem brain. Front Aging Neurosci 9, 195 – reference: Cruz-Flores R, López-Carvallo JA, Cáceres-Martínez J and Dhar AK (2022) Microbiome analysis from formalin-fixed paraffin-embedded tissues: Current challenges and future perspectives. J Microbiol Methods 196, 106476. – reference: Klindworth A, Pruesse E, Schweer T, Peplies J, Quast C, et al. (2013) Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res 41, e1. – reference: Marchesi JR, Sato T, Weightman AJ, Martin TA, Fry JC, et al. (1998). Design and evaluation of useful bacterium-specific PCR primers that amplify genes coding for bacterial 16S rRNA. Appl Environ Microbiol 64, 795–799. – reference: Sano H, Wakui A, Kawachi M, Kato R, Moriyama S, et al. (2019) Profiling of microbiota in liquid baby formula consumed with an artificial nipple. Biomed Res (Tokyo) 40, 163–168. – reference: Willis JR and Gabaldón T (2020) The human oral microbiome in health and disease: From sequences to ecosystems. Microorganisms 8, 308. – reference: Masi AC, Oppong YEA, Haugk B, Lamb CA, Sharp L, et al. (2021) Endoscopic ultrasound (EUS)-guided fine needle biopsy (FNB) formalin fixed paraffin-embedded (FFPE) pancreatic tissue samples are a potential resource for microbiota analysis. Gut 70, 999–1001. – reference: Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Huntley J, et al. (2012) Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. Isme j 6, 1621–1624. – reference: Sah S, Chen L, Houghton J, Kemppainen J, Marko AC, et al. (2013) Functional DNA quantification guides accurate next-generation sequencing mutation detection in formalin-fixed, paraffin-embedded tumor biopsies. Genome Med 5, 77. – reference: Irfan M, Delgado RZR and Frias-Lopez J (2020) The oral microbiome and cancer. Front Immunol 11, 59108 – reference: Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, et al. (2011) Metagenomic biomarker discovery and explanation. Genome Biol 12, R60. – reference: Guyard A, Boyez A, Pujals A, Robe C, Tran Van Nhieu J, et al. (2017) DNA degrades during storage in formalin-fixed and paraffin-embedded tissue blocks. Virchows Arch 471, 491–500. – reference: Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, et al. (2019) Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 37, 852–857. – reference: He Y, Gong D, Shi C, Shao F, Shi J, et al. (2017) Dysbiosis of oral buccal mucosa microbiota in patients with oral lichen planus. Oral Dis 23, 674–682. – reference: Nejman D, Livyatan I, Fuks G, Gavert N, Zwang Y, et al. (2020) The human tumor microbiome is composed of tumor type-specific intracellular bacteria. Science 368, 973–980. – reference: Debesa-Tur G, Pérez-Brocal V, Ruiz-Ruiz S, Castillejo A, Latorre A, et al. (2021) Metagenomic analysis of formalin-fixed paraffin-embedded tumor and normal mucosa reveals differences in the microbiome of colorectal cancer patients. Sci Rep 11, 391. – reference: Hamady M, Walker JJ, Harris JK, Gold NJ and Knight R (2008) Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex. Nat Methods 5, 235–237. – reference: Bundgaard-Nielsen C, Baandrup UT, Nielsen LP and Sørensen S (2019) The presence of bacteria varies between colorectal adenocarcinomas, precursor lesions and non-malignant tissue. BMC Cancer 19, 399. – reference: Blow N (2007) Tissue preparation: Tissue issues. Nature 448, 959–963. – reference: Vitošević K, Todorović M, Varljen T, Slović Ž, Matić S, et al. (2018) Effect of formalin fixation on pcr amplification of DNA isolated from healthy autopsy tissues. Acta Histochem 120, 780–788. – reference: Williams C, Pontén F, Moberg C, Söderkvist P, Uhlén M, et al. (1999) A high frequency of sequence alterations is due to formalin fixation of archival specimens. Am J Pathol 155, 1467–1471. – reference: Do H and Dobrovic A (2015) Sequence artifacts in DNA from formalin-fixed tissues: causes and strategies for minimization. Clin Chem 61, 64–71. – reference: Zheng SW, Xu P, Cai LT, TanZW, Guo YT, et al. (2022) The presence of Prevotella melaninogenica within tissue and preliminary study on its role in the pathogenesis of oral lichen planus. Oral Dis 28, 1580–1590. – reference: Srinivasan M, Sedmak D and Jewell S (2002) Effect of fixatives and tissue processing on the content and integrity of nucleic acids. Am J Pathol 161, 1961–1971. – reference: Watanabe M, Hashida S, Yamamoto H, Matsubara T, Ohtsuka T, et al. (2017) Estimation of age-related DNA degradation from formalin-fixed and paraffin-embedded tissue according to the extraction methods. Exp Ther Med 14, 2683–2688. – reference: Fu A, Yao B, Dong T, Chen Y, Yao J, et al. (2022) Tumor-resident intracellular microbiota promotes metastatic colonization in breast cancer. Cell 185, 1356–1372.e26. – reference: Flores Bueso Y, Walker SP and Tangney M (2020) Characterization of FFPE-induced bacterial DNA damage and development of a repair method. Biol Methods Protoc 5, bpaa015. – reference: Zhu A, Yang X, Bai L, Hou Y, Guo C, et al. (2020) Analysis of microbial changes in the tonsillar formalin-fixed paraffin-embedded tissue of Chinese patients with IgA nephropathy. Pathol Res Pract 216, 153174. – ident: 1 doi: 10.1038/448959a – ident: 6 doi: 10.1016/j.mimet.2022.106476 – ident: 18 doi: 10.1136/gutjnl-2020-322457 – ident: 3 doi: 10.3390/cancers13215421 – ident: 27 doi: 10.3390/microorganisms8020308 – ident: 29 doi: 10.1016/j.prp.2020.153174 – ident: 28 doi: 10.1111/odi.13862 – ident: 10 doi: 10.1093/biomethods/bpaa015 – ident: 15 doi: 10.3389/fimmu.2020.591088 – ident: 21 doi: 10.2220/biomedres.40.163 – ident: 26 doi: 10.1016/S0002-9440(10)65461-2 – ident: 2 doi: 10.1038/s41587-019-0209-9 – ident: 9 doi: 10.3389/fnagi.2017.00195 – ident: 25 doi: 10.3892/etm.2017.4797 – ident: 7 doi: 10.1038/s41598-020-79874-y – ident: 8 doi: 10.1373/clinchem.2014.223040 – ident: 23 doi: 10.1016/S0002-9440(10)64472-0 – ident: 4 doi: 10.1186/s12885-019-5571-y – ident: 11 doi: 10.1016/j.cell.2022.02.027 – ident: 12 doi: 10.1007/s00428-017-2213-0 – ident: 14 doi: 10.1111/odi.12657 – ident: 13 doi: 10.1038/nmeth.1184 – ident: 17 doi: 10.1128/AEM.64.2.795-799.1998 – ident: 16 doi: 10.1093/nar/gks808 – ident: 19 doi: 10.1080/2162402X.2020.1800957 – ident: 20 doi: 10.1186/gm481 – ident: 22 doi: 10.1186/gb-2011-12-6-r60 – ident: 24 doi: 10.1016/j.acthis.2018.09.005 – ident: 5 doi: 10.1038/ismej.2012.8 |
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