scholarly journals Untargeted Metabolomic Profiling Identifies Disease-specific Profiles in Food Allergy

2019 ◽  
Author(s):  
E Crestani ◽  
Hani Harb ◽  
Louis Marie Charbonnier ◽  
J Leirer ◽  
A Motsinger-Reif ◽  
...  
Keyword(s):  
Food Allergy ◽  
Immune Cell ◽  
Treatment Options ◽  
Bile Acid Metabolism ◽  
Metabolomic Profile ◽  
Serum Samples ◽  
Secondary Bile Acid ◽  
Metabolomic Profiling ◽  
The Face ◽  
Disease Specific

AbstractBackgroundFood allergy (FA) affects an increasing proportion of children for reasons that remain obscure. Identification of pathogenic mechanisms involved in FA using untargeted metabolomic approaches may provide much needed diagnostic and prognostic disease biomarkers and improved treatment options.MethodsMass spectrometry-based untargeted metabolomic profiling was performed on serum samples of children with either FA alone, asthma alone or both FA and asthma as well as healthy pediatric controls.ResultsFA subjects exhibited a disease-specific metabolomic signature as compared to both control subjects and asthmatics. In particular, FA was uniquely associated with a marked decrease in sphingolipids, as well as a number of other lipid metabolites, in the face of normal frequencies of circulating natural killer T (NKT) cells. Specific comparison of FA and asthmatic subjects revealed differences in the microbiota-sensitive aromatic amino acid and secondary bile acid metabolism. Children with both FA and asthma exhibited a metabolomic profile that aligned with that of FA alone but not asthma. Among children with FA, distinct profiles were associated with history of severe reactions and presence of multiple FA.ConclusionsChildren with FA display a disease-specific metabolomic profile that is informative of disease mechanisms and severity, and which dominates in the presence of asthma. Lower levels of sphingolipids and ceramides and other metabolomic alterations observed in FA children may reflect the interplay between an altered microbiota and immune cell subsets in the gut.

scholarly journals Untargeted Metabolomic Profiling Identifies Disease-Specific Pathways in Food Allergy and Asthma

2019 ◽  
Vol 143 (2) ◽  
pp. AB255 ◽  
Author(s):  
Elena Crestani ◽  
Jonathan Leirer ◽  
Alison Motsinger-Reif ◽  
Wanda Phipatanakul ◽  
Rima Kaddurah-Daouk ◽  
...  
Keyword(s):  
Food Allergy ◽  
Metabolomic Profiling ◽  
Disease Specific ◽  
Allergy And Asthma

scholarly journals Untargeted metabolomic profiling identifies disease-specific signatures in food allergy and asthma

2020 ◽  
Vol 145 (3) ◽  
pp. 897-906 ◽  
Author(s):  
Elena Crestani ◽  
Hani Harb ◽  
Louis-Marie Charbonnier ◽  
Jonathan Leirer ◽  
Alison Motsinger-Reif ◽  
...  
Keyword(s):  
Food Allergy ◽  
Metabolomic Profiling ◽  
Disease Specific ◽  
Allergy And Asthma

Antiretroviral Treatment-Associated Labia Majora Lipohypertrophy: A Rare Case and Plastic Surgical Treatment Options

2017 ◽  
Vol 2 (1) ◽  
pp. 43
Author(s):  
Akmal Hisham ◽  
Devananthan Ilenghoven ◽  
Wan Syazli Wan Ahmad Kamal ◽  
Salina Ibrahim ◽  
Shah Jumaat Mohd Yussof
Keyword(s):  
Highly Active Antiretroviral Therapy ◽  
Daily Living ◽  
Treatment Options ◽  
Hiv Positive ◽  
Highly Active ◽  
Labia Majora ◽  
The Face ◽  
Central Fat

The emergence of highly active antiretroviral therapy (HAART) has revolutionized the prognosis of HIV-infected patients. However, the extended use of HAART is associated with a disfiguring complication termed lipodystrophy, a disorder of body fat maldistribution causing peripheral fat loss (lipoatrophy) and central fat accumulation (lipohypertrophy). Lipoatrophy commonly affects the face, legs, buttocks and arm, whilst lipohypertrophy frequently favours the abdomen, breast and dorsocervical region. To our knowledge, we present only the second documented case in the literature of a labia majora lipohypertrophy in a HIV-positive patient receiving long-term HAART. The severity of labial abnormality caused significant physical and functional morbidities. Labiaplasty with dermolipectomy of the labia majora and excisional lipectomy of the mons pubis was successfully performed. At a 6-month follow-up, patient had no recurrence with resolution of symptoms and resumption of normal activities of daily living (ADL).

scholarly journals Data Driven Mathematical Model of FOLFIRI Treatment for Colon Cancer

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2632
Author(s):  
Aparajita Budithi ◽  
Sumeyye Su ◽  
Arkadz Kirshtein ◽  
Leili Shahriyari
Keyword(s):  
Mathematical Model ◽  
Colon Cancer ◽  
Cancer Patients ◽  
Immune Cell ◽  
Treatment Options ◽  
Data Driven ◽  
T Helper ◽  
Primary Tumors ◽  
Cell Fractions

Many colon cancer patients show resistance to their treatments. Therefore, it is important to consider unique characteristic of each tumor to find the best treatment options for each patient. In this study, we develop a data driven mathematical model for interaction between the tumor microenvironment and FOLFIRI drug agents in colon cancer. Patients are divided into five distinct clusters based on their estimated immune cell fractions obtained from their primary tumors’ gene expression data. We then analyze the effects of drugs on cancer cells and immune cells in each group, and we observe different responses to the FOLFIRI drugs between patients in different immune groups. For instance, patients in cluster 3 with the highest T-reg/T-helper ratio respond better to the FOLFIRI treatment, while patients in cluster 2 with the lowest T-reg/T-helper ratio resist the treatment. Moreover, we use ROC curve to validate the model using the tumor status of the patients at their follow up, and the model predicts well for the earlier follow up days.

scholarly journals The APAC Score: A Novel and Highly Performant Serological Tool for Early Diagnosis of Hepatocellular Carcinoma in Patients with Liver Cirrhosis

2021 ◽  
Vol 10 (15) ◽  
pp. 3392
Author(s):  
Joeri Lambrecht ◽  
Mustafa Porsch-Özçürümez ◽  
Jan Best ◽  
Fabian Jost-Brinkmann ◽  
Christoph Roderburg ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
At Risk ◽  
Liver Cirrhosis ◽  
Early Stage ◽  
Treatment Options ◽  
Growth Factor Receptor ◽  
Serum Samples ◽  
Disease Etiology ◽  
Risk Patients ◽  
Scoring Tool

(1) Background: Surveillance of at-risk patients for hepatocellular carcinoma (HCC) is highly necessary, as curative treatment options are only feasible in early disease stages. However, to date, screening of patients with liver cirrhosis for HCC mostly relies on suboptimal ultrasound-mediated evaluation and α-fetoprotein (AFP) measurement. Therefore, we sought to develop a novel and blood-based scoring tool for the identification of early-stage HCC. (2) Methods: Serum samples from 267 patients with liver cirrhosis, including 122 patients with HCC and 145 without, were collected. Expression levels of soluble platelet-derived growth factor receptor beta (sPDGFRβ) and routine clinical parameters were evaluated, and then utilized in logistic regression analysis. (3) Results: We developed a novel serological scoring tool, the APAC score, consisting of the parameters age, sPDGFRβ, AFP, and creatinine, which identified patients with HCC in a cirrhotic population with an AUC of 0.9503, which was significantly better than the GALAD score (AUC: 0.9000, p = 0.0031). Moreover, the diagnostic accuracy of the APAC score was independent of disease etiology, including alcohol (AUC: 0.9317), viral infection (AUC: 0.9561), and NAFLD (AUC: 0.9545). For the detection of patients with (very) early (BCLC 0/A) HCC stage or within Milan criteria, the APAC score achieved an AUC of 0.9317 (sensitivity: 85.2%, specificity: 89.2%) and 0.9488 (sensitivity: 91.1%, specificity 85.3%), respectively. (4) Conclusions: The APAC score is a novel and highly accurate serological tool for the identification of HCC, especially for early stages. It is superior to the currently proposed blood-based algorithms, and has the potential to improve surveillance of the at-risk population.

scholarly journals A Set of Cell Lines Derived from a Genetic Murine Glioblastoma Model Recapitulates Molecular and Morphological Characteristics of Human Tumors

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 230
Author(s):  
Barbara Costa ◽  
Michael N.C. Fletcher ◽  
Pavle Boskovic ◽  
Ekaterina L. Ivanova ◽  
Tanja Eisemann ◽  
...  
Keyword(s):  
Cell Lines ◽  
Immune Cell ◽  
Treatment Options ◽  
Morphological Characteristics ◽  
Molecular Heterogeneity ◽  
Double Knockout ◽  
In Vivo Models ◽  
Human Glioblastoma ◽  
Human Gbm

Glioblastomas (GBM) are the most aggressive tumors affecting the central nervous system in adults, causing death within, on average, 15 months after diagnosis. Immunocompetent in-vivo models that closely mirror human GBM are urgently needed for deciphering glioma biology and for the development of effective treatment options. The murine GBM cell lines currently available for engraftment in immunocompetent mice are not only exiguous but also inadequate in representing prominent characteristics of human GBM such as infiltrative behavior, necrotic areas, and pronounced tumor heterogeneity. Therefore, we generated a set of glioblastoma cell lines by repeated in vivo passaging of cells isolated from a neural stem cell-specific Pten/p53 double-knockout genetic mouse brain tumor model. Transcriptome and genome analyses of the cell lines revealed molecular heterogeneity comparable to that observed in human glioblastoma. Upon orthotopic transplantation into syngeneic hosts, they formed high-grade gliomas that faithfully recapitulated the histopathological features, invasiveness and immune cell infiltration characteristic of human glioblastoma. These features make our cell lines unique and useful tools to study multiple aspects of glioblastoma pathomechanism and to test novel treatments in an intact immune microenvironment.

scholarly journals Complete Microbiota Engraftment Is Not Essential for Recovery from Recurrent Clostridium difficile Infection following Fecal Microbiota Transplantation

mBio ◽  
2016 ◽  
Vol 7 (6) ◽  
Author(s):  
Christopher Staley ◽  
Colleen R. Kelly ◽  
Lawrence J. Brandt ◽  
Alexander Khoruts ◽  
Michael J. Sadowsky
Keyword(s):  
Clostridium Difficile ◽  
Bacterial Communities ◽  
Healthy Donor ◽  
Fecal Microbiota Transplantation ◽  
Fecal Microbiota ◽  
Mean Value ◽  
Bile Acid Metabolism ◽  
Secondary Bile Acid ◽  
Stool Samples ◽  
Relative Abundances

ABSTRACT Bacterial communities from subjects treated for recurrent Clostridium difficile infection (rCDI) by fecal microbiota transplantation (FMT), using either heterologous donor stool samples or autologous stool samples, were characterized by Illumina next-generation sequencing. As previously reported, the success of heterologous FMT (90%) was superior to that of autologous FMT (43%) ( P = 0.019), and post-FMT intestinal bacterial communities differed significantly between treatment arms ( P < 0.001). Subjects cured by autologous FMT typically had greater abundances of the Clostridium XIVa clade and Holdemania bacteria prior to treatment, and the relative abundances of these groups increased significantly after FMT compared to heterologous FMT and pre-FMT samples. The typical shift to post-FMT, donor-like assemblages, featuring high relative abundances of genera within the Bacteroidetes and Firmicutes phyla, was not observed in the autologous FMT subjects. Autologous FMT patient bacterial communities were significantly different in composition than those for heterologous FMT patients and donors ( P < 0.001). The SourceTracker program, which employs a Bayesian algorithm to determine source contributions to sink communities, showed that patients initially treated by heterologous FMT had significantly higher percentages of engraftment (i.e., similarity to donor communities, mean value of 74%) compared to those who suffered recurrence following autologous FMT (1%) ( P ≤ 0.013). The findings of this study suggest that complete donor engraftment may be not necessary if functionally critical taxa are present in subjects following antibiotic therapy. IMPORTANCE This study provides a detailed characterization of fecal bacterial communities in subjects who participated in a previously published randomized clinical trial to treat recurrent C. difficile infection (rCDI). Bacterial communities were characterized to determine differences between subjects who received fecal bacteria either from healthy donor stool samples or their own stool samples as “placebo” in order to determine which groups of bacteria were most important in achieving a cure. The results of this study suggested that bacteria associated with secondary bile acid metabolism could potentially provide resistance to infection and that complete transfer of healthy donor microorganisms was not necessary to resolve CDI following unsuccessful antibiotic treatment.

185: Immune cell bound MUC16: evidence supporting the use of immune transcriptomes and proteomes as reservoirs for disease specific biomarkers

2012 ◽  
Vol 206 (1) ◽  
pp. S94-S95
Author(s):  
Chanel Tyler ◽  
Jennifer A. Belisle ◽  
Christine Trautman ◽  
Jennifer A.A. Gubbels ◽  
Joseph P. Connor ◽  
...  
Keyword(s):  
Immune Cell ◽  
Disease Specific

scholarly journals Metabolomic profiling in patients with metabolic syndrome

Kardiologiia ◽  
2020 ◽  
Vol 60 (3) ◽  
pp. 37-43
Author(s):  
E. O. Korobkova ◽  
M. V. Kozhevnikova ◽  
I. S. Ilgisonis ◽  
G. A. Shakaryants ◽  
S. A. Appolonova ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mass Spectrometry ◽  
Metabolic Syndrome ◽  
Amino Acids ◽  
High Performance Liquid Chromatography ◽  
High Performance ◽  
Liquid Chromatography Mass Spectrometry ◽  
Metabolomic Profile ◽  
Additional Risk ◽  
Metabolomic Profiling

Objective. To identify biomarkers, which are most specific for patients with metabolic syndrome (MS) using metabolomic profiling.Materials and Methods. Metabolomic profiling of patients with MS and comparison of their profile with the profile of volunteers was performed using high-performance liquid chromatography-mass-spectrometry.Results. The metabolomic profile of MS patients differed in several amino acids, including choline, cysteine, and serine and in the acylcarnitine group (р<0.05 for all comparisons).Conclusion. The metabolites most specific for MS patients were identified. Increased concentrations of a combination of amino acids and carnitines can be considered as possible additional risk factors for cardiovascular diseases.

scholarly journals Metabolomic profile of amniotic fluid to evaluate lung maturity: the diaphragmatic hernia lamb model

2014 ◽  
Vol 9 ◽  
Author(s):  
Gloria Pelizzo ◽  
Maurizio Ballico ◽  
Maria Chiara Mimmi ◽  
José Louis Peirò ◽  
Mario Marotta ◽  
...  
Keyword(s):  
Amniotic Fluid ◽  
Diaphragmatic Hernia ◽  
Control Group ◽  
Metabolomic Profile ◽  
Lung Maturation ◽  
Metabolomic Profiling ◽  
Gestation Age ◽  
Alveolar Tissue ◽  
Global Growth ◽  
Lung Maturity

Background: Tracheal occlusion (TO) stimulates lung growth in fetuses affected with congenital diaphragmatic hernia (CDH) although the processes involved in lung maturation still remain unknown. The objective of this study was to evaluate the metabolomic profile of amniotic fluid (AF) following TO in fetal lamb model in order to obtain an indirect view of mechanisms involved in pulmonary reversal hypoplasia and biochemical maturity in response to fetal TO. Methods: Liquid Chromatography Mass Spectrometry was performed on lamb AF samples at: age I (70 days’gestation); age II (102 days’ gestation); age III (136 days’ gestation). CDH was induced at age I and TO at age II. Results: Betaine, choline, creatinine were found significantly increased during gestation in the control group. The CDH group showed choline (p =0.007) and creatinine (p =0.004) decreases during pregnancy. In the TO group choline and creatinine profiles were restored. Conclusions: Alveolar tissue and fetal global growth ameliorated after TO. Metabolomics provided useful information on biochemical details during lung maturation. Metabolomic profiling would help to identify the best time to perform TO, in order to increase survival of CDH affected patients.

Sign in / Sign up

Export Citation Format

Share Document