Saliva-based microRNA diagnostic signature for the superficial peritoneal endometriosis phenotype

OBJECTIVE

Patients with superficial peritoneal endometriosis (SPE) present with symptoms suggestive of endometriosis but clinical and imaging exams are inconclusive. Consequently, laparoscopy is usually necessary to confirm diagnosis. The present study aimed to evaluate the accuracy of microRNAs (miRNAs) to diagnose patients with SPE from the ENDOmiARN cohort STUDY DESIGN: This prospective study (NCT04728152) included 200 saliva samples obtained between January and June 2021 from women with pelvic pain suggestive of endometriosis. All patients underwent either laparoscopy and/or MRI to confirm the presence of endometriosis. Among the patients with endometriosis, two groups were defined: an SPE phenotype group of patients with peritoneal lesions only, and a non-SPE control group of patients with other endometriosis phenotypes (endometrioma and/or deep endometriosis). Data analysis consisted of two parts: (i) identification of a set of miRNA biomarkers using next-generation sequencing (NGS), and (ii) development of a saliva-based miRNA signature for the SPE phenotype in patients with endometriosis based on a Random Forest (RF) model.

RESULTS

Among the 153 patients with confirmed endometriosis, 10.5 % (n = 16) had an SPE phenotype. Of the 2633 known miRNAs, the feature selection method generated a signature of 89 miRNAs of the SPE phenotype. After validation, the best model, representing the most accurate signature had a 100 % sensitivity, specificity, and AUC.

CONCLUSION

This signature could constitute a new diagnostic strategy to detect the SPE phenotype based on a simple biological test and render diagnostic laparoscopy obsolete. PRéCIS: We generated a saliva-based signature to identify patients with superficial peritoneal endometriosis which is the most challenging form of endometriosis to diagnose and which is often either misdiagnosed or requires invasive laparoscopy.

Comparative analysis of mitochondrial genomes in Ceratocystis fimbriata complex across diverse hosts

The decline ofAcacia mangiumWilld. in Malaysia, especially in Sabah since 2010, is primarily due to Ceratocystiswilt and canker disease (CWCD) caused by theCeratocystis fimbriataEllis & Halst. complex. This study was aimed to investigate the mitochondrial genome architecture of two differentC. fimbriatacomplex isolates from Malaysia: one fromA. mangiumin Pahang (FRIM1162) and another fromEucalyptus pellitain Sarawak (FRIM1441). This research employed Next-Generation Sequencing (NGS) to contrast genomes from diverse hosts with nine additional mitochondrial sequences, identifying significant genetic diversity and mutational hotspots in the mitochondrial genome alignment. The mitochondrial genome-based phylogenetic analysis revealed a significant genetic relationship between the studied isolates and theC. fimbriatacomplex in the South American Subclade, indicating that theC. fimbriatacomplex discovered in Malaysia isC. manginecans. The comparative mitochondrial genome demonstrates the adaptability of the complex due to mobile genetic components and genomic rearrangements in the studiedfungal isolates. This research enhances our knowledge of the genetic diversity and evolutionary patterns within theC. fimbriatacomplex, aiding in a deeper understanding of fungal disease development and host adaption processes. The acquired insights are crucial for creating specific management strategies for CWCD, improving the overall understanding of fungal disease evolution and control.

Base-resolution quantitative DAMM-seq for mapping RNA methylations in tRNA and mitochondrial polycistronic RNA

The human AlkB family proteins, such as FTO and ALKBH5, are known to mediate RNA m6A demethylation. However, although ALKBH7 localizes in mitochondria and affects metabolism, the detailed biological function and mechanism have remained unknown for years. We developed Demethylation-Assisted Multiple Methylation sequencing (DAMM-seq) to simultaneously detect N1-methyladenosine (m1A), N3-methylcytidine (m3C), N1-methylguanosine (m1G) and N2,N2-dimethylguanosine (m22G) methylations in both steady-state RNA and nascent RNA, and discovered that human ALKBH7 demethylates m22G and m1A within mt-Ile and mt-Leu1 pre-tRNA regions, respectively, in mitochondrial polycistronic RNA. DAMM-seq quantitatively and sensitively monitors the methylation stoichiometry change at pre-tRNA junctions within nascent mt-RNA, revealing the target region where ALKBH7 regulates RNA processing and local structural switch of polycistronic mt-RNAs. A new RNA demethylase in human cells was characterized through the base-resolution quantification of multiple RNA methylations in nascent mt-RNA, resolving the long-standing question about the functional substrate of ALKBH7.

Immunotherapy combined with antiangiogenic agents in patients with advanced malignant pleural mesothelioma: A case report

BACKGROUND

Malignant pleural mesothelioma has limited therapeutic options and a poor outcome. Antiangiogenic agents might increase the efficacy of immunotherapy as second-line treatment of advanced-stage malignancies.

CASE SUMMARY

A patient with stage IIIB pleural mesothelioma received second-line treatment with a combination of pembrolizumab, bevacizumab and chemotherapy following standard chemotherapy under the guidance of second-generation sequencing. He achieved a partial response after four cycles of treatment with progression-free survival of 5 mo. Pembrolizumab was suspended due to grade 2 immunerelated pneumonia, which was resolved by oral glucocorticoids. However, disease progression was observed after immunotherapy rechallenge and anlotinib therapy. The patient had disease progression, multiorgan dysfuntion and died suddenly in October 2019.

CONCLUSION

The combination of immune checkpoint inhibitor, anti-angiogenic agents and chemotherapy showed effective response for advanced pleural mesothelioma, but with adverse reactions.

Investigation of Global Gene Expression of Human Blastocysts Diagnosed as Mosaic using Next-generation Sequencing

Embryos are diagnosed as mosaic if their chromosomal copy number falls between euploid and aneuploid. The purpose of this study was to investigate the impact of mosaicism on global gene expression. This study included 42 blastocysts that underwent preimplantation genetic testing for aneuploidy (PGT-A) and were donated for IRB approved research. Fourteen blastocysts were diagnosed as mosaic with Next-generation Sequencing (NGS). Three NGS diagnosed euploid embryos, and 25 aneuploid embryos (9 NGS, 14 array Comparative Genomic Hybridization, 2 Single Nucleotide Polymorphism array) were used as comparisons. RNA-sequencing was performed on all of the blastocysts. Differentially expressed genes (DEGs) were calculated using DESeq2/3.5 (R Bioconductor Package) with p < 0.05 considered significantly differentially expressed. Pathway analysis was performed on mosaic embryos using EnrichR with p < 0.05 considered significant. With euploid embryo gene expression used as a control, 12 of 14 mosaic embryos had fewer DEGs compared to aneuploid embryos involving the same chromosome. On principal component analysis (PCA), mosaic embryos mapped separately from aneuploid embryos. Pathways involving cell proliferation, differentiation, and apoptosis were the most disrupted within mosaic embryos. Mosaic embryos have decreased disruption of global gene expression compared to aneuploid embryos. This study was limited by the small sample size, lack of replicate samples for each mosaic abnormality, and use of multiple different PGT-A platforms for the diagnosis of aneuploid embryos.

Multicenter assessment of shotgun metagenomics for pathogen detection

BACKGROUND

Shotgun metagenomics has been used clinically for diagnosing infectious diseases. However, most technical assessments have been limited to individual sets of reference standards, experimental workflows, and laboratories.

METHODS

A reference panel and performance metrics were designed and used to examine the performance of shotgun metagenomics at 17 laboratories in a coordinated collaborative study. We comprehensively assessed the reliability, key performance determinants, reproducibility, and quantitative potential.

FINDINGS

Assay performance varied significantly across sites and microbial classes, with a read depth of 20 millions as a generally cost-efficient assay setting. Results of mapped reads by shotgun metagenomics could indicate relative and intra-site (but not absolute or inter-site) microbial abundance.

INTERPRETATION

Assay performance was significantly impacted by the microbial type, the host context, and read depth, which emphasizes the importance of these factors when designing reference reagents and benchmarking studies. Across sites, workflows and platforms, false positive reporting and considerable site/library effects were common challenges to the assay's accuracy and quantifiability. Our study also suggested that laboratory-developed shotgun metagenomics tests for pathogen detection should aim to detect microbes at 500 CFU/mL (or copies/mL) in a clinically relevant host context (10^5 human cells/mL) within a 24h turn-around time, and with an efficient read depth of 20M.

FUNDING

This work was supported by National Science and Technology Major Project of China (2018ZX10102001).

miREV: An Online Database and Tool to Uncover Potential Reference RNAs and Biomarkers in Small-RNA Sequencing Data Sets from Extracellular Vesicles Enriched Samples

Extracellular vesicles (EVs) are nano-sized, membrane-enclosed vesicles released by cells for intercellular communication. EVs are involved in pathological processes and miRNAs in EVs have gained interest as easily accessible biomolecules in liquid biopsies for diagnostic purposes. To validate potential miRNA biomarker, transcriptome analyses must be carried out to detect suitable reference miRNAs. miREV is a database with over 400 miRNA sequencing data sets and helps the researcher to find suitable reference miRNAs for their individual experimental setup. The researcher can put together a specific sample set in miREV, which is similar to his own experimental concept in order to find the most suitable references. This allows to run validation experiments without having to carry out a complex and costly transcriptome analysis priorly. Additional read count tables of each generated sample set are downloadable for further analysis. miREV is freely available at https://www.physio.wzw.tum.de/mirev/.

Variants That Affect Function of Calcium Channel TRPV6 Are Associated With Early-Onset Chronic Pancreatitis

BACKGROUND & AIMS

Changes in pancreatic calcium levels affect secretion and might be involved in development of chronic pancreatitis (CP). We investigated the association of CP with the transient receptor potential cation channel subfamily V member 6 gene (TRPV6), which encodes a Ca²⁺-selective ion channel, in an international cohort of patients and in mice.

METHODS

We performed whole-exome DNA sequencing from a patient with idiopathic CP and from his parents, who did not have CP. We validated our findings by sequencing DNA from 300 patients with CP (not associated with alcohol consumption) and 1070 persons from the general population in Japan (control individuals). In replication studies, we sequenced DNA from patients with early-onset CP (20 years or younger) not associated with alcohol consumption from France (n = 470) and Germany (n = 410). We expressed TRPV6 variants in HEK293 cells and measured their activity using Ca²⁺ imaging assays. CP was induced by repeated injections of cerulein in TRPV6^mut/mut mice.

RESULTS

We identified the variants c.629C>T (p.A210V) and c.970G>A (p.D324N) in TRPV6 in the index patient. Variants that affected function of the TRPV6 product were found in 13 of 300 patients (4.3%) and 1 of 1070 control individuals (0.1%) from Japan (odds ratio [OR], 48.4; 95% confidence interval [CI], 6.3-371.7; P = 2.4 × 10^-8). Twelve of 124 patients (9.7%) with early-onset CP had such variants. In the replication set from Europe, 18 patients with CP (2.0%) carried variants that affected the function of the TRPV6 product compared with 0 control individuals (P = 6.2 × 10^-8). Variants that did not affect the function of the TRPV6 product (p.I223T and p.D324N) were overrepresented in Japanese patients vs control individuals (OR, 10.9; 95% CI, 4.5-25.9; P = 7.4 × 10^-9 for p.I223T and P = .01 for p.D324N), whereas the p.L299Q was overrepresented in European patients vs control individuals (OR, 3.0; 95% CI, 1.9-4.8; P = 1.2 × 10^-5). TRPV6^mut/mut mice given cerulein developed more severe pancreatitis than control mice, as shown by increased levels of pancreatic enzymes, histologic alterations, and pancreatic fibrosis.

CONCLUSIONS

We found that patients with early-onset CP not associated with alcohol consumption carry variants in TRPV6 that affect the function of its product, perhaps by altering Ca²⁺ balance in pancreatic cells. TRPV6 regulates Ca²⁺ homeostasis and pancreatic inflammation.

Efficient cleavage resolves PAM preferences of CRISPR-Cas in human cells

Clustered regularly interspaced short palindromic repeats and associated proteins (CRISPR-Cas) of bacterial adaptive immunity have been adopted as a powerful and versatile tool for manipulation of the genome. This paradigm has been widely applied in biological research and treatments of animal or cellular disease models. A critical feature of CRISPR-Cas is the protospacer adjacent motif (PAM), which dictates the DNA target recognition mechanism of Cas proteins. While, direct identifying functional PAM sequences in human cells remains a challenge. Here, we developed a positive screen system termed PAM-DOSE (PAM Definition by Observable Sequence Excision) to delineate the functional PAMs in human cells. Specifically, the PAM libraries for CRISPR-Cas (SpCas9, SpCas9-NG, FnCas12a, AsCas12a, LbCas12a and MbCas12a) were generated and the corresponding CRISPR-Cas mediated cleaved fragments with functional PAM in human cells were harvested for DNA sequencing, which could be tracked and visualized with either florescence microscopy or flow cytometry analysis. With this system, we identified the functional PAMs of CRISPR-Cas members. We also found that spacer sequence affects the PAM preference of Cas proteins. This method will facilitate identification of functional PAMs for Cas-mediated human genome editing applications.

In silico approaches to discover the functional impact of non-synonymous single nucleotide polymorphisms in selective sweep regions of the Landrace genome

OBJECTIVE

The aim of this study was to discover the functional impact of non-synonymous single nucleotide polymorphisms (nsSNPs) that were found in selective sweep regions of the Landrace genome.

METHODS

Whole-genome re-sequencing data were obtained from 40 pigs, including 14 Landrace, 16 Yorkshire, and 10 wild boars, which were generated with the Illumina HiSeq 2000 platform. The nsSNPs in the selective sweep regions of the Landrace genome were identified, and the impacts of these variations on protein function were predicted to reveal their potential association with traits of the Landrace breed, such as reproductive capacity.

RESULTS

Total of 53,998 nsSNPs in the mapped regions of pigs were identified, and among them, 345 nsSNPs were found in the selective sweep regions of the Landrace genome which were reported previously. The genes featuring these nsSNPs fell into various functional categories, such as reproductive capacity or growth and development during the perinatal period. The impacts of amino acid sequence changes by nsSNPs on protein function were predicted using two in silico SNP prediction algorithms, i.e., sorting intolerant from tolerant and polymorphism phenotyping v2, to reveal their potential roles in biological processes that might be associated with the reproductive capacity of the Landrace breed.

CONCLUSION

The findings elucidated the domestication history of the Landrace breed and illustrated how Landrace domestication led to patterns of genetic variation related to superior reproductive capacity. Our novel findings will help understand the process of Landrace domestication at the genome level and provide SNPs that are informative for breeding.

[Clinical experience and next-generation sequencing analysis of encephalitis caused by pseudorabies virus]

Objective: To detect potential pathogens including pseudorabies virus in patients with encephalitis of unknown etiology in China and describe novel encephalitic entities. Methods: Patients with clinically suspected infectious encephalitis were enrolled in a multicenter study to identify the pathogens in PUMCH Encephalitis Program.Next-generation sequencing(NGS) of cerebrospinal fluid (CSF) was used in patients with encephalitis of unknown etiology enrolled from 2016 to 2017.The patients diagnosed as PRV encephalitis were studied to describe this novel entity. Results: The four patients(3 male, 1 male, 38-54 years old) had occupational exposure to raw park when working in the production or marketing of pork and at least one got injured during pork-cutting.Two of them were confirmed with NGS of CSF, and anti-PRV antibodies were positive in 3 patients whose serum was available for serological analysis.They all presented with an acute onset of fever, convulsion, loss of consciousness and respiratory failure within 1 to 4 days and rapidly deteriorated even on extensive treatment.All the patients needed ICU admission and 3 needed mechanical ventilation.Two patients also had bilateral retinitis.Neuroimaging revealed symmetric gray matter lesions including limbic system, basal ganglia and midbrain without obvious hemorrhage.Lumbar puncture revealed elevated intracranial pressure and lymphocytic pleocytosis [(6-64)×10(6)/L] of CSF.The patients failed to response to the treatment of acyclovir combined with intravenous immunoglobulin and steroids.Modified Rankin Score was 3, 5, 5 and 6 (died) for the 4 patients respectively on last follow-up. Conclusions: PRV could be a cause of severe encephalitis.The patients with suspected pseudorabies encephalitis (PRE) need to be tested for PRV DNA timely.Severe encephalitis with bilateral involvement of limbic system, basal ganglion, thalamus and midbrain in patient with occupational exposure indicate this emerging infectious encephalitis.

FDA's Activities Supporting Regulatory Application of "Next Gen" Sequencing Technologies

Applications of next-generation sequencing (NGS) technologies require availability and access to an information technology (IT) infrastructure and bioinformatics tools for large amounts of data storage and analyses. The U.S. Food and Drug Administration (FDA) anticipates that the use of NGS data to support regulatory submissions will continue to increase as the scientific and clinical communities become more familiar with the technologies and identify more ways to apply these advanced methods to support development and evaluation of new biomedical products. FDA laboratories are conducting research on different NGS platforms and developing the IT infrastructure and bioinformatics tools needed to enable regulatory evaluation of the technologies and the data sponsors will submit. A High-performance Integrated Virtual Environment, or HIVE, has been launched, and development and refinement continues as a collaborative effort between the FDA and George Washington University to provide the tools to support these needs. The use of a highly parallelized environment facilitated by use of distributed cloud storage and computation has resulted in a platform that is both rapid and responsive to changing scientific needs. The FDA plans to further develop in-house capacity in this area, while also supporting engagement by the external community, by sponsoring an open, public workshop to discuss NGS technologies and data formats standardization, and to promote the adoption of interoperability protocols in September 2014.

LAY ABSTRACT

Next-generation sequencing (NGS) technologies are enabling breakthroughs in how the biomedical community is developing and evaluating medical products. One example is the potential application of this method to the detection and identification of microbial contaminants in biologic products. In order for the U.S. Food and Drug Administration (FDA) to be able to evaluate the utility of this technology, we need to have the information technology infrastructure and bioinformatics tools to be able to store and analyze large amounts of data. To address this need, we have developed the High-performance Integrated Virtual Environment, or HIVE. HIVE uses a combination of distributed cloud storage and distributed cloud computations to provide a platform that is both rapid and responsive to support the growing and increasingly diverse scientific and regulatory needs of FDA scientists in their evaluation of NGS in research and ultimately for evaluation of NGS data in regulatory submissions.

Germline and somatic mutations in homologous recombination genes among Chinese ovarian cancer patients detected using next-generation sequencing

OBJECTIVE

To define genetic profiling of homologous recombination (HR) deficiency in Chinese ovarian cancer patients.

METHODS

we have applied next-generation sequencing to detect deleterious mutations through all exons in 31 core HR genes. Paired whole blood and frozen tumor samples from 50 Chinese women diagnosed with epithelial ovarian carcinomas were tested to identify both germline and somatic variants.

RESULTS

Deleterious germline HR-mutations were identified in 36% of the ovarian cancer patients. Another 5 patients had only somatic mutations. BRCA2 was most frequently mutated. Three out of the 5 somatic mutations were in RAD genes and a wider distribution of other HR genes was involved in non-serous carcinomas. BRCA1/2-mutation carriers had favorable platinum sensitivity (relative risk, 1.57, p<0.05), resulting in a 100% remission probability and survival rate. In contrast, mutations in other HR genes predicted poor prognosis. However, multivariate analysis demonstrated that platinum sensitivity and optimal cytoreduction were the independent impact factors influencing survival (hazards ratio, 0.053) and relapse (hazards ratio, 0.247), respectively.

CONCLUSION

our results suggest that a more comprehensive profiling of HR defect than merely BRCA1/2 could help elucidate tumor heterogeneity and lead to better stratification of ovarian cancer patients for individualized clinical management.

Screening for SNPs with Allele-Specific Methylation based on Next-Generation Sequencing Data

Allele-specific methylation (ASM) has long been studied but mainly documented in the context of genomic imprinting and X chromosome inactivation. Taking advantage of the next-generation sequencing technology, we conduct a high-throughput sequencing experiment with four prostate cell lines to survey the whole genome and identify single nucleotide polymorphisms (SNPs) with ASM. A Bayesian approach is proposed to model the counts of short reads for each SNP conditional on its genotypes of multiple subjects, leading to a posterior probability of ASM. We flag SNPs with high posterior probabilities of ASM by accounting for multiple comparisons based on posterior false discovery rates. Applying the Bayesian approach to the in-house prostate cell line data, we identify 269 SNPs as candidates of ASM. A simulation study is carried out to demonstrate the quantitative performance of the proposed approach.