Circulatory exosomal tRF-Glu-CTC-005 and tRF-Gly-GCC-002 serve as predictive factors of successful microdissection testicular sperm extraction in patients with nonobstructive azoospermia.

OBJECTIVE: To identify circulating plasma exosomal transfer RNA-derived fragments (tRFs) as the predictive factors of successful microdissection testicular sperm extraction (micro-TESE) in patients with nonobstructive azoospermia (NOA). DESIGN: Case and control prospective study. SETTING: Academic research laboratory. PATIENT(S): Twelve patients with NOA with successful sperm retrieval by micro-TESE, 18 patients with NOA with failed sperm retrieval by micro-TESE, and 12 normozoospermic fertile controls. INTERVENTION(S): Blood samples were collected from participants. MAIN OUTCOME MEASURE(S): The abundance of tRFs normalized as counts per million of the total aligned reads with the next-generation sequencing system; candidate tRF levels were validated through quantitative reverse transcription polymerase chain reaction; predictive accuracy was evaluated by the receiver operating characteristic area under the curve analysis. The nomogram was built for ranking. RESULT(S): The plasma circulating exosomal tRF-Gly-GCC-002 and tRF-Glu-CTC-005 manifested the most confident differential expression between patients with NOA with successful sperm retrieval by micro-TESE and patients with NOA with failed sperm retrieval by micro-TESE. The target gene prediction of these 2 tRFs followed by the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis indicated the functional enrichment of neuroendocrine protein metabolism and striatum/subpallium development. The herpes simplex virus 1 infection pathway was also involved. The receiver operating characteristic area under the curve (AUC) analysis demonstrated a promising predictive accuracy: tRF-Gly-GCC-002, AUC of 0.921, and tRF-Glu-CTC-005, AUC of 0.954. A regression model was built and presented with the nomogram for further assessment. CONCLUSION(S): This study described the exosomal tRF-Gly-GCC-002 and tRF-Glu-CTC-005 expression values, indicated a promising predictive effect for accessibility of sperm retrieval through micro-TESE from patients with NOA, and highlighted tRF-Gly-GCC-002 and tRF-Glu-CTC-005 as useful biomarkers in patients with NOA seeking in vitro conception with their residual sperm.

A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE.

Objective: Dysregulation of transfer RNA (tRNA)-derived small noncoding RNA (tsRNA) signatures in human serum has been found in various diseases. Here, we determine whether the signatures of tsRNAs in serum can serve as biomarkers for diagnosis or prognosis of systemic lupus erythematosus (SLE). Methods: Initially, small RNA sequencing was employed for the screening serum tsRNAs obtained from SLE patients, followed by validation with TaqMan probe-based quantitative reverse transcription-PCR (RT-PCR) assay. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic efficacy. The biological functions of tsRNAs were identified by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) assay. Results: We first analyzed tsRNA signatures in SLE serum and identified that tRF-His-GTG-1 was significantly upregulated in SLE serum. The combination of tRF-His-GTG-1 and anti-dsDNA could serve as biomarkers for diagnosing SLE with a high area under the curve (AUC) of 0.95 (95% CI = 0.92-0.99), sensitivity (83.72%), and specificity (94.19%). Importantly, the noninvasive serum tRF-His-GTG-1 could also be used to distinguish SLE with LN or SLE without LN with AUC of 0.81 (95% CI, 0.73-0.88) and performance (sensitivity 66.27%, specificity 96.15%). Moreover, the serum tsRNA is mainly secreted via exosome and can directly target signaling molecules that play crucial roles in regulating the immune system. Conclusion: In this study, it has been demonstrated for the first time that serum tsRNAs can be employed as noninvasive biomarkers for the efficient diagnosis and prediction of nephritis in SLE.

tRNAIni CAT inhibits proliferation and promotes apoptosis of laryngeal squamous cell carcinoma cells.

BACKGROUND: Laryngeal squamous cell carcinoma (LSCC) brings a heavy blow to the patient's voice. Transfer RNA (tRNA) is a common RNA, the roles of tRNAs in LSCC are largely unknown. METHODS: The tRNA expression profile in LSCC tissues and adjacent normal tissues was measured by a tRNA qRT-PCR array. The expression level of tRNAIni CAT in LSCC tissues and plasmas was detected by qRT-PCR. The receiver operating characteristic (ROC) curve was established. tRNAIni CAT was upregulated by a lentivirus vector in the LSCC cell line. Moreover, tRNAIni CAT was upregulated in LSCC xenograft nude mouse model and the xenografts were used for pathological analysis and transmission electron microscope (TEM) observation. RESULTS: The top 10 upregulated tRNAs were tRNALys CTT -1, tRNALeu TAA , tRNAPhe GAA , tRNALeu CAG , tRNATyr ATA , tRNAMet CAT , tRNATyr GTA -1, tRNAThr CGT , tRNATyr GTA -2, tRNAAla AGC ; and the top 10 downregulated tRNAs were tRNAIni CAT , mt-tRNAGlu TTC , tRNAVal CAC -3, mt-tRNATrp TCA , mt-tRNATyr GTA , mt-tRNALys TTT , mt-tRNAThr TGT , mt-tRNAAsp GTC , mt-tRNAAsn GTT , mt-tRNAPro TGG . tRNAIni CAT was downregulated in LSCC tissues and plasma. The area under the ROC curve (AUC) in LSCC tissues and the plasma of patients with LSCC was 0.717 and 0.808, respectively. tRNAIni CAT inhibited LSCC cell proliferation and promoted apoptosis. The in vivo results showed that tRNAIni CAT inhibited the growth of the xenografts and promoted apoptosis. CONCLUSIONS: This is the first study to provide tRNA expression profiles for LSCC tissues. tRNAIni CAT may be used as a new biomarker for the early diagnosis of LSCC. tRNAIni CAT inhibits cell proliferation and promotes apoptosis in vitro and in vivo.

Elevation of plasma tRNA fragments as a promising biomarker for liver fibrosis in nonalcoholic fatty liver disease.

Fibrotic tissue remodelling in nonalcoholic fatty liver disease (NAFLD) will probably emerge as the leading cause of end-stage liver disease in the coming decades, but the ability to diagnose liver fibrosis in NAFLD patients noninvasively is limited. The abnormal expression of tRNA-derived small RNA (tsRNA) in plasma provides a novel idea for noninvasive diagnosis of various diseases, however, the relationship between tsRNAs and NAFLD is still unknown. Here, we took advantage of small RNA-Seq technology to profile tsRNAs in NAFLD patients and found the ubiquitous presence of hepatic tsRNAs secreted into circulating blood. Verification in a cohort of 114 patients with NAFLD and 42 patients without NAFLD revealed that three tsRNAs (tRF-Val-CAC-005, tiRNA-His-GTG-001, and tRF-Ala-CGC-006) were significantly elevated in the plasma of NAFLD patients, and the expression level are associated with NAFLD activity score (calculated from 0 to 8) and fibrosis stage (scored from 0 to 4). In mouse models, we further found that increased plasma levels of these three tsRNAs were positively correlated with the degree of liver fibrosis. Our study potentially identifies a new class of NAFLD biomarkers and reveal the possible existence of tsRNAs in the blood that can be used to predict fibrogenesis risk in patients diagnosed with NAFLD.

5'-tRF-GlyGCC: a tRNA-derived small RNA as a novel biomarker for colorectal cancer diagnosis.

BACKGROUND: tRNA-derived small RNAs (tDRs), which are widely distributed in human tissues including blood and urine, play an important role in the progression of cancer. However, the expression of tDRs in colorectal cancer (CRC) plasma and their potential diagnostic values have not been systematically explored. METHODS: The expression profiles of tDRs in plasma of CRC and health controls (HCs) are investigated by small RNA sequencing. The level and diagnostic value of 5'-tRF-GlyGCC are evaluated by quantitative PCR in plasma samples from 105 CRC patients and 90 HCs. The mechanisms responsible for biogenesis of 5'-tRF-GlyGCC are checked by in vitro and in vivo models. RESULTS: 5'-tRF-GlyGCC is dramatically increased in plasma of CRC patients compared to that of HCs. The area under curve (AUC) for 5'-tRF-GlyGCC in CRC group is 0.882. The combination of carcinoembryonic antigen (CEA) and carbohydrate antigen 199 (CA199) with 5'-tRF-GlyGCC improves the AUC to 0.926. Consistently, the expression levels of 5'-tRF-GlyGCC in CRC cells and xenograft tissues are significantly greater than that in their corresponding controls. Blood cells co-cultured with CRC cells or mice xenografted with CRC tumors show increased levels of 5'-tRF-GlyGCC. In addition, we find that the increased expression of 5'-tRF-GlyGCC is dependent on the upregulation of AlkB homolog 3 (ALKBH3), a tRNA demethylase which can promote tRNA cleaving to generate tDRs. CONCLUSIONS: The level of 5'-tRF-GlyGCC in plasma is a promising diagnostic biomarker for CRC diagnosis.

Circulating tRNA Fragments as a Novel Biomarker Class to Distinguish Acute Stroke Subtypes.

: Early blood biomarkers to diagnose acute stroke could drastically reduce treatment delays. We investigated whether circulating small non-coding RNAs can serve as biomarkers to distinguish between acute ischemic stroke (IS), intracerebral hemorrhage (ICH) and stroke mimics (SM). In an ongoing observational cohort study, we performed small RNA-sequencing in plasma obtained from a discovery cohort of 26 patients (9 IS, 8 ICH and 9 SM) presented to the emergency department within 6 h of symptom onset. We validated our results in an independent dataset of 20 IS patients and 20 healthy controls. ICH plasma had the highest abundance of ribosomal and tRNA-derived fragments, while microRNAs were most abundant in plasma of IS patients. Combinations of four to five tRNAs yielded diagnostic accuracies (areas under the receiver operating characteristics curve) up to 0.986 (ICH vs. IS and SM) in the discovery cohort. Validation of the IS and SM models in the independent dataset yielded diagnostic accuracies of 0.870 and 0.885 to distinguish IS from healthy controls. Thus, we identified tRNA-derived fragments as a promising novel class of biomarkers to distinguish between acute IS, ICH and SM, as well as healthy controls.

Transfer RNA fragments replace microRNA regulators of the cholinergic poststroke immune blockade.

Stroke is a leading cause of death and disability. Recovery depends on a delicate balance between inflammatory responses and immune suppression, tipping the scale between brain protection and susceptibility to infection. Peripheral cholinergic blockade of immune reactions fine-tunes this immune response, but its molecular regulators are unknown. Here, we report a regulatory shift in small RNA types in patient blood sequenced 2 d after ischemic stroke, comprising massive decreases of microRNA levels and concomitant increases of transfer RNA fragments (tRFs) targeting cholinergic transcripts. Electrophoresis-based size-selection followed by qRT-PCR validated the top six up-regulated tRFs in a separate cohort of stroke patients, and independent datasets of small and long RNA sequencing pinpointed immune cell subsets pivotal to these responses, implicating CD14+ monocytes in the cholinergic inflammatory reflex. In-depth small RNA targeting analyses revealed the most-perturbed pathways following stroke and implied a structural dichotomy between microRNA and tRF target sets. Furthermore, lipopolysaccharide stimulation of murine RAW 264.7 cells and human CD14+ monocytes up-regulated the top six stroke-perturbed tRFs, and overexpression of stroke-inducible tRF-22-WE8SPOX52 using a single-stranded RNA mimic induced down-regulation of immune regulator Z-DNA binding protein 1. In summary, we identified a "changing of the guards" between small RNA types that may systemically affect homeostasis in poststroke immune responses, and pinpointed multiple affected pathways, which opens new venues for establishing therapeutics and biomarkers at the protein and RNA level.

Prediction of Functional Outcome in Patients with Acute Stroke by Measuring tRNA Derivatives.

BACKGROUND AND PURPOSE: Transfer RNA (tRNA) is a noncoding RNA that delivers amino acids to ribosomes for protein synthesis. tRNA is also involved in cell stress response programs. Oxidative stress induces direct conformational change in tRNA structure that promotes subsequent tRNA fragmentation. Using an antibody against tRNA-specific modified nucleoside 1-methyladenosine (m1A), we can detect tRNA derivatives such as conformationally changed tRNA, tRNA-derived fragments, and mononucleotide-free m1A. Based on these findings, tRNA derivatives may have potential as an early tissue damage marker. The purpose of this study was to investigate the plasma tRNA derivatives in stroke patients to clarify whether tRNA derivatives in the acute phase can detect early brain damage and then predict the functional outcome. METHODS: Patients (75 patients with ischemic and 66 with hemorrhagic stroke) and 22 healthy volunteers were prospectively enrolled for this study between November 2016 and February 2019. Plasma samples were collected within 24 h and at 1 day, 7 days, and 30 days from the onset. Plasma tRNA derivative concentrations were measured by ELISA kit using the anti-m1A antibody. RESULTS: The plasma tRNA derivative level on admission was significantly increased in both ischemic (mean ± standard error, 232.2 ± 33.1 ng/mL) and hemorrhagic stroke patients (212 ± 23.4 ng/mL) compared to the healthy volunteers (86.0 ± 7.9 ng/mL) (p = 0.00042 and p = 0.00018, respectively). The infarction size (r = 0.445, p = 0.00018) and hematoma volumes (r = 0.33, p = 0.0072) were also significantly correlated with tRNA derivatives. The concentrations of tRNA derivatives were associated with poor functional outcome (Modified Rankin Scale score 3-6 at 30 days from the onset) in patients with ischemic stroke at 7 days after onset (p = 0.020). CONCLUSIONS: Stress-induced tRNA derivatives can detect brain tissue damage, predicting functional outcome in patients with ischemic stroke.

Serum tRNA-derived fragments (tRFs) as potential candidates for diagnosis of nontriple negative breast cancer.

Breast cancer has become the most common cancer in women, and nontriple negative breast cancer (non-TNBC) accounts for 80-90% of all invasive breast cancers. Early detection, diagnosis, and treatment are considered key to a successful cure. Conventionally, breast imaging and needle core biopsy are used for detection and monitoring. However, small variations in volume might be ignored in imaging, and traditional biopsies are spatially and temporally limited, leading to a significant delay in cancer detection and thus prompting renewed focus on early and accurate diagnosis. In this article, we investigated whether there is an accurate molecule in peripheral blood that can help diagnose breast cancer. Similar to microRNAs, tRNA-derived fragments (tRFs) have been reported to be involved in many pathological processes in breast cancer, but whether they can serve as candidate biomarkers for breast cancer remains unclear. Using high-throughput sequencing technology, we identified 4,021 differentially expressed tRFs in normal and breast cancer cell lines, and eight tRFs were selected to establish a signature as a predictive biomarker of non-TNBC. Furthermore, quantitative reverse-transcriptase polymerase chain reaction was performed to verify the expression of the signature and analyze the correlation between dysregulated tRFs and breast cancer. The results indicated that tDR-7816, tDR-5334, and tDR-4733 might be promising biomarkers. Through further bioinformatics analysis, we predicted that tDR-7816 influences the xenobiotic metabolic processes that support the oncogenesis of breast cancer. In summary, our results provide a rationale for using circulating tDR-7816 expression as a novel potential biomarker for the diagnosis of patients with early non-TNBC.

Expression profile of tRNA­derived fragments and their potential roles in human varicose veins.

Varicose veins (VVs) is a common disease presenting with chronic venous insufficiency. tRNA­derived fragments (tRFs) are associated with a variety of pathological conditions. However, the functions of tRFs in VVs have not been elucidated to date. The present study aimed to identify the key tRFs and investigate their potential roles in VVs. Small RNA sequencing (RNA­seq) was performed to investigate the expression of tRFs in tissues of patients with VVs and their matched adjacent normal veins tissues (ANVs). Reverse transcription­quantitative PCR (RT­qPCR) was used to confirm the differential expression of tRFs. A total of 13,789 tRFs were identified by small RNA­seq, including 45 differentially expressed tRFs (DETs), which comprised 14 upregulated and 31 downregulated tRFs in VV tissues compared with ANVs. In addition, DETs were mainly involved in the function of epidermal growth factor receptor and vascular endothelial growth factor receptor signaling pathways in VVs. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the target genes of DETs were predominantly involved in Wnt and mitogen­activated protein kinase (MAPK) signaling pathways, as well as calcium signaling. Additionally, two upregulated tRFs (tRF­36­F900BY4D84KRIME and tRF­23­87R8WP9IY) and one downregulated tRF (tRF­40­86J8WPMN1E8Y7Z2R) were further validated by RT­qPCR, and a signaling pathway regulation network of their target genes confirmed their involvement in the calcium, Wnt and MAPK signaling pathways. The results of the present study identified three DETs (tRF­36­F900BY4D84KRIME, tRF­23­87R8WP9IY and tRF­40­86J8WPMN1E8Y7Z2R), which may have crucial roles in the occurrence and progression of VVs by regulating Wnt and MAPK signaling, as well as calcium signaling. The present results may provide a basis for further investigation of the functional roles of tRFs in VVs.

TRNA-derived fragments as sex-dependent circulating candidate biomarkers for Parkinson's disease.

INTRODUCTION: Parkinson's Disease (PD) is diagnosed clinically. Reliable non-invasive PD biomarkers are actively sought. Transfer RNAs produce short non-coding RNAs, the tRNA-derived fragments (tRF). tRF have been shown to play diverse roles, including in amyotrophic lateral sclerosis, and the response to ischemic stroke. Rich tRF populations are being reported in biofluids. We explored the possibility that tRF can serve as non-invasive biomarkers for PD. METHODS: We collected existing RNA-seq samples and re-analyzed a total of 254 legacy datasets from 3 previous studies, from male and female PD patients and controls that belong to three categories: prefrontal cortex samples from 29 patients and 33 controls; cerebrospinal fluid (CSF) samples from 63 patients and 64 controls; and, serum samples from 34 patients and 31 controls. First, we identified tRF exhaustively and deterministically in every dataset. Second, we determined tRF that are differentially abundant (DA) between PD and control samples, using uncorrected t-tests. Lastly, we assessed all the DA tRF from the previous step with Partial Least Squares - Discriminant Analysis (PLS-DA) to stringently sub-select tRF that can distinguish PD patients from controls. RESULTS: We show that PLS-DA identified tRF from prefrontal cortex, CSF, and serum that can distinguish PD patients from controls. A handful of identified tRF were previously investigated in neurological contexts. Signatures built from relatively few tRF suffice to distinguish PD from control in each category of samples with high sensitivity (89-100%) and specificity (79-98%). CONCLUSION: tRF-based signatures are promising candidates that warrant further evaluation as non-invasive PD biomarkers.

Polycystic ovary syndrome dependency on mtDNA mutation; copy Number and its association with insulin resistance.

OBJECTIVE: Study analyzes mutation in mtDNA (Mitochondrial DNA) among diabetic women with PCOS in non-diabetic diabetic women and compared with the healthy control. Women with known case of hyperandrogenism, ovulatory dysfunction and/or polycystic ovaries were selected and anthropometric and demographic variables were collected during their clinical visit. Biochemical estimation of glucose, FSH, LH, estradiol (E2), and insulin levels were analyzed. Mutational analysis of mt-tRNA genes of each individual was compared with the updated consensus Cambridge sequence. The mtDNA content was determined in triplicate using SYBR green PCR mastermix. RESULTS: The clinical and biochemical characteristics of participants showed no statistical difference in age and/or FSH, PRL, E2, PRGE or fasting glucose value between patients of different groups. Women with PCOS-D had significantly higher LH, LH/FSH, TT and fasting insulin levels and HOMA-IR with respect to the control group. Ten different type of mutation were seen in POCS group. Most of these mutations were confined to evolutionarily conserved region. The mtDNA copy numbers were considerably lower PCOS group irrespective of diabetic status. To conclude, the current study inferred that the mutations occur in the mitochondrial genome, mt-tRNA in specific, are the important causal factor in PCOS.

Elevation in plasma tRNA fragments precede seizures in human epilepsy.

Transfer RNAs (tRNAs) are a major class of noncoding RNA. Stress-induced cleavage of tRNA is highly conserved and results in tRNA fragments. Here we find specific tRNA fragments in plasma are associated with epilepsy. Small RNA sequencing of plasma samples collected during video-EEG monitoring of focal epilepsy patients identified significant differences in three tRNA fragments (5', 5'AlaTGC, and 5'GluCTC) from controls. Levels of these tRNA fragments were higher in pre-seizure than post-seizure samples, suggesting they may serve as biomarkers of seizure risk in epilepsy patients. In vitro studies confirmed that production and extracellular release of tRNA fragments was lower after epileptiform-like activity in hippocampal neurons. We designed PCR-based assays to quantify tRNA fragments in a cohort of pre- and post-seizure plasma samples from focal epilepsy patients and healthy controls (n = 32/group). Receiver operating characteristic analysis indicated that tRNA fragments potently distinguished pre- from post-seizure patients (area under the curve of 0.8-0.95). Elevated tRNA fragments levels were not detected in patients with psychogenic non-epileptic seizures, and did not result from medication tapering. This study identifies a novel class of epilepsy biomarker and reveals the potential existence of prodromal molecular patterns in blood that could be used to predict seizure risk.

Transfer RNA-derived fragments as potential exosome tRNA-derived fragment biomarkers for osteoporosis.

AIM: Osteoporosis is one of the common orthopedic diseases featured in low bone mineral density. Exosomes have been proven to be potential markers for many diseases and health problems. The roles of messenger RNAs and microRNAs in osteoporosis have been comprehensively studied; however, little research has focused on the function of plasma exosomal transfer RNA-derived fragments (tRFs) in osteoporosis. METHODS: We collected plasma samples from 40 healthy controls and 40 osteoporosis patients, and all exosomes were isolated with combined centrifugation and were characterized by electron microscopy. Small RNA sequence (Yingbio) was performed to detect the plasma exosomal tRFs and tRF markers were validated by real-time quantitative polymerase chain reaction (qPCR). Three exosome diagnostic tRFs were confirmed by receiver operating characteristic analyses. RESULTS: In this study, 11 upregulated tRFs and 18 downregulated tRFs were identified in osteoporosis compared with normal controls. Higher expression levels of plasma exosomal tRF-25-R9ODMJ6B26 (tRF-25), tRF-38-QB1MK8YUBS68BFD2 (tRF-38), tRF-18-BS68BFD2 (tRF-18) in osteoporosis were confirmed by qPCR. Plasma exosomal tRF-25, tRF-38 and tRF-18 showed better accuracy for osteoporosis diagnosis. CONCLUSION: Our results suggest that plasma exosomal tRF-25, tRF-38 and tRF-18 might be diagnostic biomarkers for osteoporosis detection.

A comprehensive profile of circulating RNAs in human serum.

Non-coding RNA (ncRNA) molecules have fundamental roles in cells and many are also stable in body fluids as extracellular RNAs. In this study, we used RNA sequencing (RNA-seq) to investigate the profile of small non-coding RNA (sncRNA) in human serum. We analyzed 10 billion Illumina reads from 477 serum samples, included in the Norwegian population-based Janus Serum Bank (JSB). We found that the core serum RNA repertoire includes 258 micro RNAs (miRNA), 441 piwi-interacting RNAs (piRNA), 411 transfer RNAs (tRNA), 24 small nucleolar RNAs (snoRNA), 125 small nuclear RNAs (snRNA) and 123 miscellaneous RNAs (misc-RNA). We also investigated biological and technical variation in expression, and the results suggest that many RNA molecules identified in serum contain signs of biological variation. They are therefore unlikely to be random degradation by-products. In addition, the presence of specific fragments of tRNA, snoRNA, Vault RNA and Y_RNA indicates protection from degradation. Our results suggest that many circulating RNAs in serum can be potential biomarkers.

Small RNA-seq during acute maximal exercise reveal RNAs involved in vascular inflammation and cardiometabolic health: brief report.

Exercise improves cardiometabolic and vascular function, although the mechanisms remain unclear. Our objective was to demonstrate the diversity of circulating extracellular RNA (ex-RNA) release during acute exercise in humans and its relevance to exercise-mediated benefits on vascular inflammation. We performed plasma small RNA sequencing in 26 individuals undergoing symptom-limited maximal treadmill exercise, with replication of our top candidate miRNA in a separate cohort of 59 individuals undergoing bicycle ergometry. We found changes in miRNAs and other ex-RNAs with exercise (e.g., Y RNAs and tRNAs) implicated in cardiovascular disease. In two independent cohorts of acute maximal exercise, we identified miR-181b-5p as a key ex-RNA increased in plasma after exercise, with validation in a separate cohort. In a mouse model of acute exercise, we found significant increases in miR-181b-5p expression in skeletal muscle after acute exercise in young (but not older) mice. Previous work revealed a strong role for miR-181b-5p in vascular inflammation in obesity, insulin resistance, sepsis, and cardiovascular disease. We conclude that circulating ex-RNAs were altered in plasma after acute exercise target pathways involved in inflammation, including miR-181b-5p. Further investigation into the role of known (e.g., miRNA) and novel (e.g., Y RNAs) RNAs is warranted to uncover new mechanisms of vascular inflammation on exercise-mediated benefits on health.NEW & NOTEWORTHY How exercise provides benefits to cardiometabolic health remains unclear. We performed RNA sequencing in plasma during exercise to identify the landscape of small noncoding circulating transcriptional changes. Our results suggest a link between inflammation and exercise, providing rich data on circulating noncoding RNAs for future studies by the scientific community.

High Throughput Sequencing of Extracellular RNA from Human Plasma.

The presence and relative stability of extracellular RNAs (exRNAs) in biofluids has led to an emerging recognition of their promise as 'liquid biopsies' for diseases. Most prior studies on discovery of exRNAs as disease-specific biomarkers have focused on microRNAs (miRNAs) using technologies such as qRT-PCR and microarrays. The recent application of next-generation sequencing to discovery of exRNA biomarkers has revealed the presence of potential novel miRNAs as well as other RNA species such as tRNAs, snoRNAs, piRNAs and lncRNAs in biofluids. At the same time, the use of RNA sequencing for biofluids poses unique challenges, including low amounts of input RNAs, the presence of exRNAs in different compartments with varying degrees of vulnerability to isolation techniques, and the high abundance of specific RNA species (thereby limiting the sensitivity of detection of less abundant species). Moreover, discovery in human diseases often relies on archival biospecimens of varying age and limiting amounts of samples. In this study, we have tested RNA isolation methods to optimize profiling exRNAs by RNA sequencing in individuals without any known diseases. Our findings are consistent with other recent studies that detect microRNAs and ribosomal RNAs as the major exRNA species in plasma. Similar to other recent studies, we found that the landscape of biofluid microRNA transcriptome is dominated by several abundant microRNAs that appear to comprise conserved extracellular miRNAs. There is reasonable correlation of sets of conserved miRNAs across biological replicates, and even across other data sets obtained at different investigative sites. Conversely, the detection of less abundant miRNAs is far more dependent on the exact methodology of RNA isolation and profiling. This study highlights the challenges in detecting and quantifying less abundant plasma miRNAs in health and disease using RNA sequencing platforms.

Vesicular and Extra-Vesicular RNAs of Human Blood Plasma.

Human blood contains a great variety of membrane-covered RNA carrying vesicles which are spherical or tubular particles enclosed by a phospholipid bilayer. Circulating vesicles are thought to mediate cell-to-cell communication and their RNA cargo can act as regulatory molecules. In this work, we separated blood plasma of healthy donors by centrifugation and determined that vesicles precipitated at 16,000 g were enriched with CD41a, marker of platelets. At 160,000 g, the pellets were enriched with CD3 marker of T cells. To characterize the RNA-content of the blood plasma sub fractions, we performed high throughput sequencing of the RNA pelleted within vesicles at 16,000 g and 160,000 g as well as RNA remaining in the vesicle-free supernatant. We found that blood plasma sub fractions contain not only extensive set of microRNAs but also fragments of other cellular RNAs: rRNAs, tRNAs, mRNAs, lncRNAs, small RNAs including RNAs encoded by mtDNAs. Our data indicate that a variety of blood plasma RNAs circulating within vesicles as well as of extra-vesicular RNAs are comparable to the variety of cellular RNA species.

Sources and Functions of Extracellular Small RNAs in Human Circulation.

Various biotypes of endogenous small RNAs (sRNAs) have been detected in human circulation, including microRNAs, transfer RNAs, ribosomal RNA, and yRNA fragments. These extracellular sRNAs (ex-sRNAs) are packaged and secreted by many different cell types. Ex-sRNAs exhibit differences in abundance in several disease states and have, therefore, been proposed for use as effective biomarkers. Furthermore, exosome-borne ex-sRNAs have been reported to elicit physiological responses in acceptor cells. Exogenous ex-sRNAs derived from diet (most prominently from plants) and microorganisms have also been reported in human blood. Essential issues that remain to be conclusively addressed concern the (a) presence and sources of exogenous ex-sRNAs in human bodily fluids, (b) detection and measurement of ex-sRNAs in human circulation, (c) selectivity of ex-sRNA export and import, (d) sensitivity and specificity of ex-sRNA delivery to cellular targets, and (e) cell-, tissue-, organ-, and organism-wide impacts of ex-sRNA-mediated cell-to-cell communication. We survey the present state of knowledge of most of these issues in this review.