Literature DB >> 14598125

Experimental proof of contamination of blood components by (1-->3)-beta-D-glucan caused by filtration with cellulose filters in the manufacturing process.

Koichi Nagasawa1, Tatsuyuki Yano, Go Kitabayashi, Hiroaki Morimoto, Yuji Yamada, Atsushi Ohata, Makoto Usami, Takashi Horiuchi.   

Abstract

The level of (1-->3)-beta-D-glucan in blood is a diagnostic index of fungal infection because it is released from the fungal cell wall. However, high levels of plasma (1-->3)-beta-D-glucan in patients administered blood components may give false positive results. High levels of (1-->3)-beta-D-glucan have been detected in blood components. We suspected that (1-->3)-beta-D-glucan from cellulose filters had been eluted into blood components by filtration in the manufacturing process. To investigate the contamination of blood components by (1-->3)-beta-D-glucan from cellulose filters, in vitro experiments were performed by using six cellulose filters and a nylon filter. Human serum albumin (HSA) solution (100 ml) was flowed through each filter after rinsing with 100 ml of distilled water, and (1-->3)-beta-D-glucan in each fraction was determined by Fungitec G test MK. The concentration of (1-->3)-beta-D-glucan eluted from cellulose filters in 100-ml distilled water fractions ranged from 6 to 207 pg/ml, and that of HSA fractions ranged from 33 to 20,784 pg/ml. These data showed that remarkably higher (1-->3)-beta-D-glucan levels were detected in HSA fractions flowed through cellulose filters in spite of advance rinsing with 100 ml of distilled water. In the case of a nylon filter, (1-->3)-beta-D-glucan was not eluted in either fraction. These results indicate that (1-->3)-beta-D-glucan contamination in blood components is caused by filtration with cellulose filters in the manufacturing process.

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Year:  2003        PMID: 14598125     DOI: 10.1007/s100470300008

Source DB:  PubMed          Journal:  J Artif Organs        ISSN: 1434-7229            Impact factor:   1.731


  14 in total

1.  How to interpret serum levels of beta-glucan for the diagnosis of invasive fungal infections in adult high-risk hematology patients: optimal cut-off levels and confounding factors.

Authors:  H Hammarström; N Kondori; V Friman; C Wennerås
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-01-09       Impact factor: 3.267

2.  Interference of confounding factors on the use of (1,3)-beta-D-glucan in the diagnosis of invasive candidiasis in the intensive care unit.

Authors:  G Lo Cascio; R Koncan; G Stringari; A Russo; A Azzini; A Ugolini; M Ligozzi; E Polati; G Cornaglia; E Concia; V Schweiger
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-09-13       Impact factor: 3.267

3.  Efficacy of Cerebrospinal Fluid Beta-d-Glucan Diagnostic Testing for Fungal Meningitis: a Systematic Review.

Authors:  Christian Davis; L Joseph Wheat; Thein Myint; David R Boulware; Nathan C Bahr
Journal:  J Clin Microbiol       Date:  2020-03-25       Impact factor: 5.948

4.  Reactivity of (1-->3)-beta-d-glucan assay with commonly used intravenous antimicrobials.

Authors:  Francisco M Marty; Colleen M Lowry; Steven J Lempitski; David W Kubiak; Malcolm A Finkelman; Lindsey R Baden
Journal:  Antimicrob Agents Chemother       Date:  2006-10       Impact factor: 5.191

5.  (1,3)-β-d-glucan in cerebrospinal fluid for diagnosis of fungal meningitis associated with contaminated methylprednisolone injections.

Authors:  Anurag N Malani; Bonita Singal; L Joseph Wheat; Ola Al Sous; Theresa A Summons; Michelle M Durkin; April C Pettit
Journal:  J Clin Microbiol       Date:  2014-12-24       Impact factor: 5.948

6.  Point-Counterpoint: Should Serum β-d-Glucan Testing Be Used for the Diagnosis of Pneumocystis jirovecii Pneumonia?

Authors:  Gabriela Corsi-Vasquez; Luis Ostrosky-Zeichner; Edward F Pilkington; Paul E Sax
Journal:  J Clin Microbiol       Date:  2019-12-23       Impact factor: 5.948

7.  Use and limits of (1-3)-β-d-glucan assay (Fungitell), compared to galactomannan determination (Platelia Aspergillus), for diagnosis of invasive aspergillosis.

Authors:  Annie Sulahian; Raphael Porcher; Anne Bergeron; Sophie Touratier; Emmanuel Raffoux; Jean Menotti; Francis Derouin; Patricia Ribaud
Journal:  J Clin Microbiol       Date:  2014-04-16       Impact factor: 5.948

8.  Usage of 1,3-β-D-Glucan for Early Detection of Invasive Mycoses and Outcome Parameter in Immunocompromised Critically Ill Patients.

Authors:  Tobias Lahmer; Jürgen Held; Sebastian Rasch; Christopher Schnappauf; Analena Beitz; Roland M Schmid; Wolfgang Huber
Journal:  Mycopathologia       Date:  2016-09-12       Impact factor: 2.574

9.  Challenges with Utilizing the 1,3-Beta-d-Glucan and Galactomannan Assays To Diagnose Invasive Mold Infections in Immunocompromised Children.

Authors:  Alice J Hsu; Pranita D Tamma; Sean X Zhang
Journal:  J Clin Microbiol       Date:  2021-08-18       Impact factor: 5.948

10.  Development of a Highly Sensitive β-Glucan Detection System Using Scanning Single-Molecule Counting Method.

Authors:  Yoshiyuki Adachi; Hidetaka Nakata; Tetsuya Tanabe; Daisuke Yamanaka; Takashi Kanno; Ken-Ichi Ishibashi; Naohito Ohno
Journal:  Int J Mol Sci       Date:  2021-06-01       Impact factor: 5.923

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