IL‐17A deficiency mitigates bleomycin‐induced complement activation during lung fibrosis

Interleukin 17A (IL‐17A) and complement (C′) activation have each been implicated in the pathogenesis of idiopathic pulmonary fibrosis (IPF). We have reported that IL‐17A induces epithelial injury via TGF‐β in murine bronchiolitis obliterans; that TGF‐β and the C′ cascade present signaling interactions in mediating epithelial injury; and that the blockade of C′ receptors mitigates lung fibrosis. In the present study, we investigated the role of IL‐17A in regulating C′ in lung fibrosis. Microarray analyses of mRNA isolated from primary normal human small airway epithelial cells indicated that IL‐17A (100 ng/ml; 24 h; n = 5 donor lungs) induces C′ components (C′ factor B, C3, and GPCR kinase isoform 5), cytokines (IL8, ‐6, and ‐1B), and cytokine ligands (CXCL1, ‐2, ‐3, ‐5, ‐6, and ‐16). IL‐17A induces protein and mRNA regulation of C′ components and the synthesis of active C′ 3a (C3a) in normal primary human alveolar type II epithelial cells (AECs). Wild‐type mice subjected to IL‐17A neutralization and IL‐17A knockout (i717a−/−) mice were protected against bleomycin (BLEO)‐induced fibrosis and collagen deposition. Further, BLEO‐injured i17a−/− mice had diminished levels of circulating Krebs Von Den Lungen 6 (alveolar epithelial injury marker), local caspase‐3/7, and local endoplasmic reticular stress‐related genes. BLEO‐induced local C′ activation [C3a, C5a, and terminal C′ complex (C5b‐9)] was attenuated in il17a−/− mice, and IL‐17A neutralization prevented the loss of epithelial C′ inhibitors (C′ receptor‐1 related isoform Y and decay accelerating factor), and an increase in local TUNEL levels. RNAi‐mediated gene silencing of il17a in fibrotic mice arrested the progression of lung fibrosis, attenuated cellular apoptosis (caspase‐3/7) and lung deposition of collagen and C′ (C5b‐9). Compared to normals, plasma from IPF patients showed significantly higher hemolytic activity. Our findings demonstrate that limiting complement activation by neutralizing IL‐17A is a potential mechanism in ameliorating lung fibrosis.—Cipolla, E., Fisher, A. J., Gu, H., Mickler, E. A., Agarwal, M., Wilke, C. A., Kim, K. K., Moore, B. B., Vittal, R. IL‐17A deficiency mitigates bleomycin‐induced complement activation during lung fibrosis. FASEB J. 31, 5543–5556 (2017). www.fasebj.orgPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154482/1/fsb2fj201700289r-sup-0001.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154482/2/fsb2fj201700289r.pd

Microbiota-produced indole metabolites disrupt mitochondrial function and inhibit Cryptosporidium parvum growth

Cryptosporidiosis is a leading cause of life-threatening diarrhea in young children in resource-poor settings. To explore microbial influences on susceptibility, we screened 85 microbiota-associated metabolites for their effects on Cryptosporidium parvum growth in vitro. We identify eight inhibitory metabolites in three main classes: secondary bile salts/acids, a vitamin

MIxS-BE : a MIxS extension defining a minimum information standard for sequence data from the built environment

© The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in ISME Journal 8 (2014): 1-3, doi:10.1038/ismej.2013.176.The need for metadata standards for microbe sampling in the built environment.We would like to thank the Alfred P Sloan Foundation grant FP047325-01-PR for support for this project

Extracting information from the text of electronic medical records to improve case detection: a systematic review

Background: Electronic medical records (EMRs) are revolutionizing health-related research. One key issue for study quality is the accurate identification of patients with the condition of interest. Information in EMRs can be entered as structured codes or unstructured free text. The majority of research studies have used only coded parts of EMRs for case-detection, which may bias findings, miss cases, and reduce study quality. This review examines whether incorporating information from text into case-detection algorithms can improve research quality. Methods: A systematic search returned 9659 papers, 67 of which reported on the extraction of information from free text of EMRs with the stated purpose of detecting cases of a named clinical condition. Methods for extracting information from text and the technical accuracy of case-detection algorithms were reviewed. Results: Studies mainly used US hospital-based EMRs, and extracted information from text for 41 conditions using keyword searches, rule-based algorithms, and machine learning methods. There was no clear difference in case-detection algorithm accuracy between rule-based and machine learning methods of extraction. Inclusion of information from text resulted in a significant improvement in algorithm sensitivity and area under the receiver operating characteristic in comparison to codes alone (median sensitivity 78% (codes + text) vs 62% (codes), P = .03; median area under the receiver operating characteristic 95% (codes + text) vs 88% (codes), P = .025). Conclusions: Text in EMRs is accessible, especially with open source information extraction algorithms, and significantly improves case detection when combined with codes. More harmonization of reporting within EMR studies is needed, particularly standardized reporting of algorithm accuracy metrics like positive predictive value (precision) and sensitivity (recall)

Propuesta para intervenir un problema de salud

El cáncer de mama está considerado como un problema de salud pública, esta enfermedad ha cobrado vidas a nivel mundial y sus índices van en crecimiento, desde el año 2005, en el municipio de Versalles, el cáncer de mama es la segunda causa de muerte en la población femenina. Por lo tanto, se realiza una propuesta académica para intervenir mujeres con un rango de edad que oscila entre los 15 y 40 años, con la finalidad de informar y sensibilizar respecto a las causas y factores de riesgos que potencian el cáncer de mama, y así reducir el impacto negativo que causa daño a la población. Las actividades propuestas en esta intervención propenden por la educación y promoción de la salud de la población intervenida, para aclarar conocimientos y preparar a la mujer para la prevención y detección de un posible cáncer de mama, enseñarle a que este atenta a las alarmas que brinda el cuerpo y a explorar la zona, a través de prácticas de autocuidado, velando por el control de su salud, e informarse sobre los factores de riesgo, signos y síntomas que son propios del cáncer de seno. Así como prácticas de autocuidado acciones en base a una manipulación en la mama, técnicas que son preventivas para el bienestar de la población femenina. Palabras clave: Cáncer, autocuidado, mortalidad, maligno, tumor, factores de riesgo.Breast cancer is considered a public health problem, this disease has taken lives worldwide and its rates have been growing, since 2005, in the municipality of Versailles, breast cancer is the second leading cause of death in the female population. Therefore, an academic proposal is made to intervene women with an age range that ranges between 15 and 40 years, in order to inform and raise awareness regarding the causes and risk factors that enhance breast cancer, and thus reduce the negative impact that causes harm to the population. The activities proposed in this intervention aim to educate and promote the health of the intervened population, to clarify knowledge and prepare women for the prevention and detection of possible breast cancer, to teach them to be alert to the alarms it provides the body and to explore the area, through self-care practices, ensuring the control of their health, and finding out about the risk factors, signs and symptoms that are characteristic of breast cancer. As well as selfcare practices, actions based on manipulation in the breast, techniques that are preventive for the well-being of the female population. Key words: Cancer, self-care, mortality, malignant, tumor, ris

The RAST Server: Rapid Annotations using Subsystems Technology

<p>Abstract</p> <p>Background</p> <p>The number of prokaryotic genome sequences becoming available is growing steadily and is growing faster than our ability to accurately annotate them.</p> <p>Description</p> <p>We describe a fully automated service for annotating bacterial and archaeal genomes. The service identifies protein-encoding, rRNA and tRNA genes, assigns functions to the genes, predicts which subsystems are represented in the genome, uses this information to reconstruct the metabolic network and makes the output easily downloadable for the user. In addition, the annotated genome can be browsed in an environment that supports comparative analysis with the annotated genomes maintained in the SEED environment.</p> <p>The service normally makes the annotated genome available within 12–24 hours of submission, but ultimately the quality of such a service will be judged in terms of accuracy, consistency, and completeness of the produced annotations. We summarize our attempts to address these issues and discuss plans for incrementally enhancing the service.</p> <p>Conclusion</p> <p>By providing accurate, rapid annotation freely to the community we have created an important community resource. The service has now been utilized by over 120 external users annotating over 350 distinct genomes.</p

Common fragile sites are characterized by histone hypoacetylation

Common fragile sites (CFSs) represent large, highly unstable regions of the human genome. CFS sequences are sensitive to perturbation of replication; however, the molecular basis for the instability at CFSs is poorly understood. We hypothesized that a unique epigenetic pattern may underlie the unusual sensitivity of CFSs to replication interference. To examine this hypothesis, we analyzed chromatin modification patterns within the six human CFSs with the highest levels of breakage, and their surrounding non-fragile regions (NCFSs). Chromatin at most of the CFSs analyzed has significantly less histone acetylation than that of their surrounding NCFSs. Trichostatin A and/or 5-azadeoxycytidine treatment reduced chromosome breakage at CFSs. Furthermore, chromatin at the most commonly expressed CFS, the FRA3B, is more resistant to micrococcal nuclease than that of the flanking non-fragile sequences. These results demonstrate that histone hypoacetylation is a characteristic epigenetic pattern of CFSs, and chromatin within CFSs might be relatively more compact than that of the NCFSs, indicating a role for chromatin conformation in genomic instability at CFSs. Moreover, lack of histone acetylation at CFSs may contribute to the defective response to replication stress characteristic of CFSs, leading to the genetic instability characteristic of this regions

Stratifying the Presymptomatic Phase of Genetic Frontotemporal Dementia by Serum NfL and pNfH: A Longitudinal Multicentre Study

Objective: Although the presymptomatic stages of frontotemporal dementia (FTD) provide a unique chance to delay or even prevent neurodegeneration by early intervention, they remain poorly defined. Leveraging a large multicenter cohort of genetic FTD mutation carriers, we provide a biomarker-based stratification and biomarker cascade of the likely most treatment-relevant stage within the presymptomatic phase: the conversion stage. Methods: We longitudinally assessed serum levels of neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) in the Genetic FTD Initiative (GENFI) cohort (n = 444), using single-molecule array technique. Subjects comprised 91 symptomatic and 179 presymptomatic subjects with mutations in the FTD genes C9orf72, GRN, or MAPT, and 174 mutation-negative within-family controls. Results: In a biomarker cascade, NfL increase preceded the hypothetical clinical onset by 15 years and concurred with brain atrophy onset, whereas pNfH increase started close to clinical onset. The conversion stage was marked by increased NfL, but still normal pNfH levels, while both were increased at the symptomatic stage. Intra-individual change rates were increased for NfL at the conversion stage and for pNfH at the symptomatic stage, highlighting their respective potential as stage-dependent dynamic biomarkers within the biomarker cascade. Increased NfL levels and NfL change rates allowed identification of presymptomatic subjects converting to symptomatic disease and capture of proximity-to-onset. We estimate stage-dependent sample sizes for trials aiming to decrease neurofilament levels or change rates. Interpretation: Blood NfL and pNfH provide dynamic stage-dependent stratification and, potentially, treatment response biomarkers in presymptomatic FTD, allowing demarcation of the conversion stage. The proposed biomarker cascade might pave the way towards a biomarker-based precision medicine approach to genetic FTD. ANN NEUROL 2022;91:33–47

A data-driven disease progression model of fluid biomarkers in genetic frontotemporal dementia

Several CSF and blood biomarkers for genetic frontotemporal dementia have been proposed, including those reflecting neuroaxonal loss (neurofilament light chain and phosphorylated neurofilament heavy chain), synapse dysfunction [neuronal pentraxin 2 (NPTX2)], astrogliosis (glial fibrillary acidic protein) and complement activation (C1q, C3b). Determining the sequence in which biomarkers become abnormal over the course of disease could facilitate disease staging and help identify mutation carriers with prodromal or early-stage frontotemporal dementia, which is especially important as pharmaceutical trials emerge. We aimed to model the sequence of biomarker abnormalities in presymptomatic and symptomatic genetic frontotemporal dementia using cross-sectional data from the Genetic Frontotemporal dementia Initiative (GENFI), a longitudinal cohort study. Two-hundred and seventy-five presymptomatic and 127 symptomatic carriers of mutations in GRN, C9orf72 or MAPT, as well as 247 non-carriers, were selected from the GENFI cohort based on availability of one or more of the aforementioned biomarkers. Nine presymptomatic carriers developed symptoms within 18 months of sample collection (\u27converters\u27). Sequences of biomarker abnormalities were modelled for the entire group using discriminative event-based modelling (DEBM) and for each genetic subgroup using co-initialized DEBM. These models estimate probabilistic biomarker abnormalities in a data-driven way and do not rely on previous diagnostic information or biomarker cut-off points. Using cross-validation, subjects were subsequently assigned a disease stage based on their position along the disease progression timeline. CSF NPTX2 was the first biomarker to become abnormal, followed by blood and CSF neurofilament light chain, blood phosphorylated neurofilament heavy chain, blood glial fibrillary acidic protein and finally CSF C3b and C1q. Biomarker orderings did not differ significantly between genetic subgroups, but more uncertainty was noted in the C9orf72 and MAPT groups than for GRN. Estimated disease stages could distinguish symptomatic from presymptomatic carriers and non-carriers with areas under the curve of 0.84 (95% confidence interval 0.80-0.89) and 0.90 (0.86-0.94) respectively. The areas under the curve to distinguish converters from non-converting presymptomatic carriers was 0.85 (0.75-0.95). Our data-driven model of genetic frontotemporal dementia revealed that NPTX2 and neurofilament light chain are the earliest to change among the selected biomarkers. Further research should investigate their utility as candidate selection tools for pharmaceutical trials. The model\u27s ability to accurately estimate individual disease stages could improve patient stratification and track the efficacy of therapeutic interventions