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Yang T, Qin Y, Yan S, Guo S, Sun J, Huang J, Li J, Zhou Q, Jin X, Wang WJ. Comprehensive evaluation of methods for identifying tissues or cell types of origin of the plasma cell-free transcriptome. PeerJ 2025; 13:e19241. [PMID: 40256737 PMCID: PMC12009560 DOI: 10.7717/peerj.19241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Accepted: 03/11/2025] [Indexed: 04/22/2025] Open
Abstract
Plasma cell-free RNA (cfRNA) is derived from cells in various tissues and organs throughout the body and reflects the physiological and pathological conditions. Identifying the origins of cfRNA is essential for comprehending its variations. Only a few tools are designed for cfRNA deconvolution, and most studies have relied on traditional bulk RNA methods. In this study, we employed human tissue and cell transcriptomic data as reference sets and evaluated the performance of seven deconvolution methods on cfRNA. We compared the analysis results of cell types and tissues of origin of plasma cfRNA and chose to use single-cell RNA sequencing (scRNA-seq) data as reference to conduct further evaluation of deconvolution methods. Subsequently, we assessed the accuracy and robustness of the methods by utilizing simulated cfRNA data generated from scRNA-seq. We also evaluated the methods' accuracy on real plasma cfRNA data by analyzing the correlation between the predicted cell proportions and the corresponding clinical indicators. Moreover, we compared the methods' effectiveness in revealing the impacts of diseases on cells and evaluated the performance of cancer classification models based on the cell origin data they provided. In summary, our study provides valuable insights into cfRNA origin analysis, enhancing its potential in biomedical research.
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Affiliation(s)
- Tingyu Yang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI Research, Shenzhen, China
| | - Yulong Qin
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI Research, Shenzhen, China
| | - Shuo Yan
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI Research, Shenzhen, China
| | - Sijia Guo
- BGI Research, Shenzhen, China
- College of Life Sciences, Northwest University, Xi’an, China
| | | | - Jiayi Huang
- BGI Research, Shenzhen, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Jiayi Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI Research, Shenzhen, China
| | | | - Xin Jin
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI Research, Shenzhen, China
- Shenzhen Key Laboratory of Transomics Biotechnologies, BGI Research, Shenzhen, China
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, China
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Pan H, Ouyang B, Zhang H, Zhao C. Non-coding RNAs: the architects of placental development and pregnancy success. Mol Genet Genomics 2025; 300:39. [PMID: 40159439 DOI: 10.1007/s00438-025-02244-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2025] [Accepted: 03/10/2025] [Indexed: 04/02/2025]
Abstract
Noncoding RNAs (ncRNAs) constitute a significant portion of the transcriptome that lacks evident protein-coding functions; however, they have been confirmed to be crucial in various biological processes, including placental development. Notwithstanding the existence of various ncRNAs, research on their role in placental development and pregnancy has been constrained. The predominant category of identified ncRNAs specific to placental tissue is microRNAs (miRNAs). Given their prevalence, the significantly larger cohort of other non-coding RNAs, such as circular RNAs (circRNAs) and long non-coding RNAs (lncRNAs), is anticipated to exert a considerably greater influence than miRNAs. Syncytiotrophoblast, a fetal-derived cell, serves as a conduit between the fetus and mother by secreting extracellular vesicles that contain fetal proteins and RNA. Alterations in ncRNAs within placental tissue, especially in trophoblast cells and extracellular vesicles, may be linked to placental dysfunction that leads to pregnancy complications, serving either as a causative factor or a result. This review encapsulates the existing understanding of ncRNAs in placental development, pregnancy success, pregnancy-related complications, extracellular vesicle conveyance, and their capacity as innovative diagnostic instruments and therapeutic strategies.
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Affiliation(s)
- Hongjuan Pan
- Taikang Tongji (Wuhan) Hospital, Wuhan, 430050, Hubei, China
| | - Baisha Ouyang
- Taikang Tongji (Wuhan) Hospital, Wuhan, 430050, Hubei, China
| | - Hui Zhang
- Taikang Tongji (Wuhan) Hospital, Wuhan, 430050, Hubei, China
| | - Caizhen Zhao
- Taikang Tongji (Wuhan) Hospital, Wuhan, 430050, Hubei, China.
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Huang BY, Zhao Q, Peng DL, Wang MY, Zhao QW. [Burden of congenital birth defects in children under five in China from 1990 to 2021 and prediction of future trend]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2025; 27:347-353. [PMID: 40105082 PMCID: PMC11928033 DOI: 10.7499/j.issn.1008-8830.2408146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/20/2025]
Abstract
OBJECTIVES To study the incidence and disease burden of congenital birth defects in children under five in China from 1990 to 2021 and to predict the incidence of congenital birth defects in this population from 2022 to 2036, providing a reference for the prevention of congenital birth defects in children. METHODS Using the Global Burden of Disease Study 2021 (GBD 2021) database, the incidence and disability-adjusted life years (DALY) were employed to describe the disease burden. The Joinpoint regression model was used to analyze the trends in incidence and DALY rates of congenital birth defects in children under five. A grey prediction model GM(1,1) was applied to fit the trend of incidence rates of congenital birth defects in this age group and to predict the incidence from 2022 to 2036. RESULTS In 2021, the incidence rate of congenital birth defects among children under five in China was 737.28 per 100 000. Among these, congenital musculoskeletal and limb deformities had the highest incidence rate at 307.15 per 100 000, followed by congenital heart defects (223.53 per 100 000), congenital urinary and genital tract malformations (74.99 per 100 000), and congenital gastrointestinal malformations (62.61 per 100 000). From 1990 to 2021, the incidence rate and DALY rate of congenital birth defects in children under five in China decreased at an average annual rate of 1.73% and 5.42%, respectively. The prediction analysis indicated a decreasing trend in the incidence of congenital birth defects among children under five in China from 2022 to 2036, with the incidence rate dropping from 892.36 per 100 000 in 2022 to 783.35 per 100 000 in 2036. CONCLUSIONS The incidence and disease burden of congenital birth defects in children under five in China showed a significant declining trend from 1990 to 2021. It is predicted that this incidence will continue to decrease until 2036.
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Affiliation(s)
- Bing-Yi Huang
- Laboratory of Genetics and Precision Medicine, Affiliated Hospital of Guilin Medical College, Guilin, Guangxi 541001, China
| | - Qin Zhao
- Laboratory of Genetics and Precision Medicine, Affiliated Hospital of Guilin Medical College, Guilin, Guangxi 541001, China
| | | | - Man-Yi Wang
- Laboratory of Genetics and Precision Medicine, Affiliated Hospital of Guilin Medical College, Guilin, Guangxi 541001, China
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Peeples ES, Molloy EJ, Bearer CF. Novel biomarkers of fetal and neonatal environmental exposure, effect and susceptibility. Pediatr Res 2025:10.1038/s41390-025-03816-5. [PMID: 39939520 DOI: 10.1038/s41390-025-03816-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 11/12/2024] [Accepted: 12/09/2024] [Indexed: 02/14/2025]
Abstract
Rapid advancements in science and technology have allowed medical providers to treat wider ranges of diseases with safer and more effective therapies than ever before. One of the areas of health that has been consistently understudied, however, is one that affects us all: environmental health or the effects that the chemicals we are exposed to every day have on our acute and chronic health. This effect can be exacerbated during and shortly after pregnancy, as an individual exposure is often shared by both the mother and the fetus/neonate. The diagnosis and monitoring of chemical exposure can be quite challenging, and improving our understanding of the effects of exposure will therefore require effective use of an expanding set of biomarker tests and biological matrices. This review covers the background and history of neonatal biomarkers of exposure, effect, and susceptibility, focusing on the potential uses for the non-invasive matrix of exhaled breath for the detection and monitoring of chemical exposures. IMPACT: Provides a brief overview of Food and Drug Administration and National Institutes of Health Joint Leadership Council BEST (Biomarkers, EndpointS, and other Tools) Resource. Summarizes new and potential biomarkers for fetal exposure. Collates studies using breath as a matrix for environmental exposures.
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Affiliation(s)
- Eric S Peeples
- Pediatrics, University of Nebraska Medical Center, Omaha, NE, USA
- Neonatology, Children's Nebraska, Omaha, NE, USA
- Child Health Research Institute, Omaha, NE, USA
| | - Eleanor J Molloy
- Paediatrics, Trinity College Dublin, Trinity Research in Childhood Centre (TRiCC), Dublin, Ireland
- Trinity Translational Medicine Institute (TTMI), Dublin, Ireland
- Neonatology, Coombe Women's and Infants University Hospital, Dublin, Ireland
- Neonatology, CHI at Crumlin, Dublin, Ireland
- Children's Hospital Ireland (CHI) at Tallaght, Dublin, Ireland
| | - Cynthia F Bearer
- UH Rainbow Babies & Children's Hospital, Cleveland, OH, USA.
- Case Western Reserve University School of Medicine, Cleveland, OH, USA.
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Berg JS. The Path to Genomic Screening-Far From Simple, but the Journey Has Begun. JAMA 2025; 333:210-212. [PMID: 39446569 DOI: 10.1001/jama.2024.21926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2024]
Affiliation(s)
- Jonathan S Berg
- Department of Genetics, The University of North Carolina at Chapel Hill
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Abstract
This review delves into the rapidly evolving landscape of liquid biopsy technologies based on cell-free DNA (cfDNA) and cell-free RNA (cfRNA) and their increasingly prominent role in precision medicine. With the advent of high-throughput DNA sequencing, the use of cfDNA and cfRNA has revolutionized noninvasive clinical testing. Here, we explore the physical characteristics of cfDNA and cfRNA, present an overview of the essential engineering tools used by the field, and highlight clinical applications, including noninvasive prenatal testing, cancer testing, organ transplantation surveillance, and infectious disease testing. Finally, we discuss emerging technologies and the broadening scope of liquid biopsies to new areas of diagnostic medicine.
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Affiliation(s)
- Conor Loy
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Lauren Ahmann
- Department of Pathology, Stanford University, Stanford, California, USA;
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Wei Gu
- Department of Pathology, Stanford University, Stanford, California, USA;
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Moufarrej MN, Winn VD, Quake SR. Cell-Free Nucleic Acids for Early Prediction of Preeclampsia. Curr Hypertens Rep 2024; 26:175-182. [PMID: 38147201 DOI: 10.1007/s11906-023-01291-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2023] [Indexed: 12/27/2023]
Abstract
PURPOSE OF REVIEW This review summarizes the potential of cell-free nucleic acids for predicting preeclampsia, contrasts them with other methods, and discusses these findings' relevance to preeclampsia's pathogenesis and care. RECENT FINDINGS Recent studies have demonstrated the utility of cell-free nucleic acids in early preeclampsia risk prediction. Encouragingly, nucleic acid measurement exhibits similar or better sensitivity as compared to standard screening assays and furthermore sheds light on preeclampsia's underlying placental biology. Over the past decade, liquid biopsies measuring cell-free nucleic acids have found diverse applications, including in prenatal care. Recent advances have extended their utility to predict preeclampsia, a major cause of maternal mortality. These assays assess methylation patterns in cell-free DNA (cfDNA) or gene levels in cell-free RNA (cfRNA). Currently, preeclampsia care focuses on blood pressure control, seizure prevention, and delivery. If validated, early prediction of preeclampsia through liquid biopsies can improve maternal health and deepen our understanding of its causes.
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Affiliation(s)
| | | | - Stephen R Quake
- Department of Bioengineering and Applied Physics, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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