TY - JOUR
T1 - Characterization of nucleic acids from extracellular vesicle-enriched human sweat
AU - Bart, Geneviève
AU - Fischer, Daniel
AU - Samoylenko, Anatoliy
AU - Zhyvolozhnyi, Artem
AU - Stehantsev, Pavlo
AU - Miinalainen, Ilkka
AU - Kaakinen, Mika
AU - Nurmi, Tuomas
AU - Singh, Prateek
AU - Kosamo, Susanna
AU - Rannaste, Lauri
AU - Viitala, Sirja
AU - Hiltunen, Jussi
AU - Vainio, Seppo J.
N1 - Funding Information:
These studies were supported by the following research grants: Centre of Excellence grant (2012–2017 251314), the European Community’s Seventh Framework Programme (FP7/2007–2013; grant FP7-HEALTH-F5), HILLA, Business Finland (BioRealHealth), Academy of Finland Biofuture2025, and European Union Regional Development Fund (Printocent10). Part of the infrastructure was supported by the Academy of Finland Research Infrastructure Grant (PII-FIRI, Grant no. 32020).
Funding Information:
We thank Hannu Kaikkonen and Prof. Raija Korpelainen form Oulu Deaconess Institute Sport Clinic for their invaluable help in setting up the sweat collection method for this project, Marko Suokas and docent Katri Pylk?s (BCO sequencing core facility), Hannele H?rkman, Paula Haipus, Getnet Midekassa, Muhammad Umair Anwar, Emma Karjalainen, Johanna Kekolahti-Liias, Meeri Otsukka, Leena Keskitalo. Abishek Sharma for recruiting volunteers. NGS was done at Biocenter Oulu, Sequencing core facility. CSC ? IT Center for Science, Finland and CSC ? TIETEEN TIETOTEKNIIKAN KESKUS OY/IT Center for Science LTD for computational resources. We are grateful to the volunteers who donated sweat.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/6/9
Y1 - 2021/6/9
N2 - Background: The human sweat is a mixture of secretions from three types of glands: eccrine, apocrine, and sebaceous. Eccrine glands open directly on the skin surface and produce high amounts of water-based fluid in response to heat, emotion, and physical activity, whereas the other glands produce oily fluids and waxy sebum. While most body fluids have been shown to contain nucleic acids, both as ribonucleoprotein complexes and associated with extracellular vesicles (EVs), these have not been investigated in sweat. In this study we aimed to explore and characterize the nucleic acids associated with sweat particles. Results: We used next generation sequencing (NGS) to characterize DNA and RNA in pooled and individual samples of EV-enriched sweat collected from volunteers performing rigorous exercise. In all sequenced samples, we identified DNA originating from all human chromosomes, but only the mitochondrial chromosome was highly represented with 100% coverage. Most of the DNA mapped to unannotated regions of the human genome with some regions highly represented in all samples. Approximately 5 % of the reads were found to map to other genomes: including bacteria (83%), archaea (3%), and virus (13%), identified bacteria species were consistent with those commonly colonizing the human upper body and arm skin. Small RNA-seq from EV-enriched pooled sweat RNA resulted in 74% of the trimmed reads mapped to the human genome, with 29% corresponding to unannotated regions. Over 70% of the RNA reads mapping to an annotated region were tRNA, while misc. RNA (18,5%), protein coding RNA (5%) and miRNA (1,85%) were much less represented. RNA-seq from individually processed EV-enriched sweat collection generally resulted in fewer percentage of reads mapping to the human genome (7–45%), with 50–60% of those reads mapping to unannotated region of the genome and 30–55% being tRNAs, and lower percentage of reads being rRNA, LincRNA, misc. RNA, and protein coding RNA. Conclusions: Our data demonstrates that sweat, as all other body fluids, contains a wealth of nucleic acids, including DNA and RNA of human and microbial origin, opening a possibility to investigate sweat as a source for biomarkers for specific health parameters.
AB - Background: The human sweat is a mixture of secretions from three types of glands: eccrine, apocrine, and sebaceous. Eccrine glands open directly on the skin surface and produce high amounts of water-based fluid in response to heat, emotion, and physical activity, whereas the other glands produce oily fluids and waxy sebum. While most body fluids have been shown to contain nucleic acids, both as ribonucleoprotein complexes and associated with extracellular vesicles (EVs), these have not been investigated in sweat. In this study we aimed to explore and characterize the nucleic acids associated with sweat particles. Results: We used next generation sequencing (NGS) to characterize DNA and RNA in pooled and individual samples of EV-enriched sweat collected from volunteers performing rigorous exercise. In all sequenced samples, we identified DNA originating from all human chromosomes, but only the mitochondrial chromosome was highly represented with 100% coverage. Most of the DNA mapped to unannotated regions of the human genome with some regions highly represented in all samples. Approximately 5 % of the reads were found to map to other genomes: including bacteria (83%), archaea (3%), and virus (13%), identified bacteria species were consistent with those commonly colonizing the human upper body and arm skin. Small RNA-seq from EV-enriched pooled sweat RNA resulted in 74% of the trimmed reads mapped to the human genome, with 29% corresponding to unannotated regions. Over 70% of the RNA reads mapping to an annotated region were tRNA, while misc. RNA (18,5%), protein coding RNA (5%) and miRNA (1,85%) were much less represented. RNA-seq from individually processed EV-enriched sweat collection generally resulted in fewer percentage of reads mapping to the human genome (7–45%), with 50–60% of those reads mapping to unannotated region of the genome and 30–55% being tRNAs, and lower percentage of reads being rRNA, LincRNA, misc. RNA, and protein coding RNA. Conclusions: Our data demonstrates that sweat, as all other body fluids, contains a wealth of nucleic acids, including DNA and RNA of human and microbial origin, opening a possibility to investigate sweat as a source for biomarkers for specific health parameters.
KW - Exercise
KW - Extracellular vesicles (EV)
KW - Genomics
KW - Metagenomics
KW - Microbiome
KW - Skin
KW - Sweat
KW - Transcriptomics
UR - http://www.scopus.com/inward/record.url?scp=85107575123&partnerID=8YFLogxK
U2 - 10.1186/s12864-021-07733-9
DO - 10.1186/s12864-021-07733-9
M3 - Article
C2 - 34103018
AN - SCOPUS:85107575123
SN - 1471-2164
VL - 22
SP - 425
JO - BMC Genomics
JF - BMC Genomics
IS - 1
M1 - 425
ER -