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Noda Y, Sakagami T, Suzuki K, Fujisawa T, Yagi M, Iwai H, Tsuta K. Direct specimen collection during routine operation improves nucleic acid quality in genetic analysis samples for head and neck tumors: A retrospective study. Pathol Res Pract 2023; 252:154943. [PMID: 37977036 DOI: 10.1016/j.prp.2023.154943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/07/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023]
Abstract
The nucleic acid integrity of head and neck squamous cell carcinoma (HNSCC) samples is poor, and the material available for genetic analysis is limited. Therefore, to expand the effectiveness of personalized medicine in patients with HNSCC, a new sampling method is needed. In total, 128 samples from 44 patients with HNSCC were studied: 32 genetic analysis samples (GASs) collected as 5 × 5 × 5 mm tissue fragments from resected large tumors and immediately embedded in a small formalin bottle within 10 min (i.e., the ischemic time), 43 primary tumor components (primary), 14 decalcified tumor (DC) samples, 32 metastatic tumors in lymph nodes (LNs), and 7 parakeratinized components (PKCs). The nucleic acid quality in the GAS, primary, DC, LN, and PKC groups was compared and next-generation sequencing (NGS) was performed. DNA integrity number and percentage of RNA fragments with > 200 nucleotides were significantly higher in the GAS group than those in the other groups. RNA integrity number decreased first in LN, followed by GAS, primary, and DC. No significant differences were observed in DIN, RIN and DV200 among the PKC, primary and LN. Following methyl green-pyronin staining, preserved DNA and RNA were not visualized in DC samples. Most NGS metrics did not differ significantly among primary, LN, and PKC samples. In conclusion, GASs should be collected during routine hospital activities. When the volume of viable materials is limited, PKCs should be considered for genetic analysis.
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Affiliation(s)
- Yuri Noda
- Department of Pathology and Laboratory Medicine, Kansai Medical University Hospital, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan; Department of Pathology, Kansai Medical University, 2-5-1 Shin-machi, Hirakata, Osaka 573-1010, Japan.
| | - Tomofumi Sakagami
- Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University Hospital, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan
| | - Kensuke Suzuki
- Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University Hospital, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan
| | - Takuo Fujisawa
- Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University Hospital, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan
| | - Masao Yagi
- Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University Hospital, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan
| | - Hiroshi Iwai
- Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University Hospital, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan
| | - Koji Tsuta
- Department of Pathology and Laboratory Medicine, Kansai Medical University Hospital, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan; Department of Pathology, Kansai Medical University, 2-5-1 Shin-machi, Hirakata, Osaka 573-1010, Japan
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Zheng R, Brunius C, Shi L, Zafar H, Paulson L, Landberg R, Naluai ÅT. Prediction and evaluation of the effect of pre-centrifugation sample management on the measurable untargeted LC-MS plasma metabolome. Anal Chim Acta 2021; 1182:338968. [PMID: 34602206 DOI: 10.1016/j.aca.2021.338968] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 08/17/2021] [Accepted: 08/18/2021] [Indexed: 12/16/2022]
Abstract
Optimal handling is the most important means to ensure adequate sample quality. We aimed to investigate whether pre-centrifugation delay time and temperature could be accurately predicted and to what extent variability induced by pre-centrifugation management can be adjusted for. We used untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics to predict and evaluate the influence of pre-centrifugation temperature and delayed time on plasma samples. Pre-centrifugation temperature (4, 25 and 37 °C; classification rate 87%) and time (5-210 min; Q2 = 0.82) were accurately predicted using Random Forest (RF). Metabolites uniquely reflecting temperature and temperature-time interactions were discovered using a combination of RF and generalized linear models. Time-related metabolite profiles suggested a perturbed stability of the metabolome at all temperatures in the investigated time period (5-210 min), and the variation at 4 °C was observed in particular before 90 min. Fourteen and eight metabolites were selected and validated for accurate prediction of pre-centrifugation temperature (classification rate 94%) and delay time (Q2 = 0.90), respectively. In summary, the metabolite profile was rapidly affected by pre-centrifugation delay at all temperatures and thus the pre-centrifugation delay should be as short as possible for metabolomics analysis. The metabolite panels provided accurate predictions of pre-centrifugation delay time and temperature in healthy individuals in a separate validation sample. Such predictions could potentially be useful for assessing legacy samples where relevant metadata is lacking. However, validation in larger populations and different phenotypes, including disease states, is needed.
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Affiliation(s)
- Rui Zheng
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Carl Brunius
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden; Chalmers Mass Spectrometry Infrastructure, Chalmers University of Technology, Gothenburg, Sweden
| | - Lin Shi
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden; School of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi' an, China.
| | - Huma Zafar
- Biobank West, Sahlgrenska University Hospital, Region Västra Götaland, Sweden
| | - Linda Paulson
- Biobank West, Sahlgrenska University Hospital, Region Västra Götaland, Sweden
| | - Rikard Landberg
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden; Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Åsa Torinsson Naluai
- Biobank West, Sahlgrenska University Hospital, Region Västra Götaland, Sweden; Institute of Biomedicine, Biobank Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Bai H, Zhao J, Ma C, Wei H, Li X, Fang Q, Yang P, Wang Q, Wang D, Xin L. Impact of RNA degradation on influenza diagnosis in the surveillance system. Diagn Microbiol Infect Dis 2021; 100:115388. [PMID: 34030102 DOI: 10.1016/j.diagmicrobio.2021.115388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/22/2021] [Accepted: 04/03/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND The continuous evolution of influenza viruses is monitored by the World Health Organization Global Influenza Surveillance and Response System. Sample quality is essential for surveillance quality. METHODS To evaluate the RNA degradation of clinical samples, influenza-like illness samples were collected from four sentinel hospitals, and seasonal influenza was tested by real-time reverse transcription polymerase chain reaction and quantified by digital reverse transcription polymerase chain reaction at different time points. RESULTS RNA degradation was observed in the majority of samples eight days after sample collection. A significant and faster rate of RNA content reduction was observed in low viral load samples (<10 copies/µl) than in high viral load samples (>10 copies/μl), stored at 2 to 8°C for up to eight days. RNase P (RNP) RNA, which is a key indicator to evaluate sample collection quality, was detected. Sample collection quality was uneven in different hospitals. CONCLUSION Low viral load samples increase the risk of false negatives due to RNA degradation to undetectable levels.
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Affiliation(s)
- Hongyan Bai
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Jiashen Zhao
- Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China
| | - Chunyan Ma
- Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China
| | - Hejiang Wei
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Xiyan Li
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Qiongqiong Fang
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Peng Yang
- Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China
| | - Quanyi Wang
- Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China
| | - Dayan Wang
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Li Xin
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China.
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Lim MS, Beyer T, Babayan A, Bergmann M, Brehme M, Buyx A, Czernin J, Egger G, Elenitoba-Johnson KSJ, Gückel B, Jačan A, Haslacher H, Hicks RJ, Kenner L, Langanke M, Mitterhauser M, Pichler BJ, Salih HR, Schibli R, Schulz S, Simecek J, Simon J, Soares MO, Stelzl U, Wadsak W, Zatloukal K, Zeitlinger M, Hacker M. Advancing Biomarker Development Through Convergent Engagement: Summary Report of the 2nd International Danube Symposium on Biomarker Development, Molecular Imaging and Applied Diagnostics; March 14-16, 2018; Vienna, Austria. Mol Imaging Biol 2020; 22:47-65. [PMID: 31049831 DOI: 10.1007/s11307-019-01361-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Here, we report on the outcome of the 2nd International Danube Symposium on advanced biomarker development that was held in Vienna, Austria, in early 2018. During the meeting, cross-speciality participants assessed critical aspects of non-invasive, quantitative biomarker development in view of the need to expand our understanding of disease mechanisms and the definition of appropriate strategies both for molecular diagnostics and personalised therapies. More specifically, panelists addressed the main topics, including the current status of disease characterisation by means of non-invasive imaging, histopathology and liquid biopsies as well as strategies of gaining new understanding of disease formation, modulation and plasticity to large-scale molecular imaging as well as integrative multi-platform approaches. Highlights of the 2018 meeting included dedicated sessions on non-invasive disease characterisation, development of disease and therapeutic tailored biomarkers, standardisation and quality measures in biospecimens, new therapeutic approaches and socio-economic challenges of biomarker developments. The scientific programme was accompanied by a roundtable discussion on identification and implementation of sustainable strategies to address the educational needs in the rapidly evolving field of molecular diagnostics. The central theme that emanated from the 2nd Donau Symposium was the importance of the conceptualisation and implementation of a convergent approach towards a disease characterisation beyond lesion-counting "lumpology" for a cost-effective and patient-centric diagnosis, therapy planning, guidance and monitoring. This involves a judicious choice of diagnostic means, the adoption of clinical decision support systems and, above all, a new way of communication involving all stakeholders across modalities and specialities. Moreover, complex diseases require a comprehensive diagnosis by converging parameters from different disciplines, which will finally yield to a precise therapeutic guidance and outcome prediction. While it is attractive to focus on technical advances alone, it is important to develop a patient-centric approach, thus asking "What can we do with our expertise to help patients?"
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Boggs NA, Rao VK. The Role of Bone Marrow Evaluation in Clinical Allergy and Immunology Practice: When and Why. J Allergy Clin Immunol Pract 2020; 8:3356-3362. [PMID: 32531483 PMCID: PMC10996386 DOI: 10.1016/j.jaip.2020.05.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 05/24/2020] [Accepted: 05/27/2020] [Indexed: 11/21/2022]
Abstract
Allergists and immunologists rely on other specialists for higher risk procedures such as biopsies of the lung or gastrointestinal tract. However, we perform and interpret a handful of procedures ourselves. Training programs have historically required competency for prescribing immunoglobulin infusions, patch testing, rhino laryngoscopy, lung function testing, and provocation testing for airway hyperreactivity even though other specialists often perform them. Bone marrow aspirations and biopsies are not included in fellowship training assessments despite a significant number of marrow evaluations being requested by allergists and immunologists. For example, nearly 1 marrow assessment per month has been requested over 2 years for patients in the Allergy Immunology Clinic at Walter Reed National Military Medical Center. Marrow assessments are often required for diagnosis, monitoring, and treatment-related toxicities. Interpretive and procedural competency would benefit the field given the range of diseases in clinical immunology practice that require marrow assessment. We have generated a comprehensive list of the major conditions that might require bone marrow assessments in any Allergy and Immunology practice. We then summarize the specific tests that must be ordered and show how to determine sample quality. Finally, some providers may desire procedural competency and for those individuals we discuss tips for the procedure.
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Affiliation(s)
- Nathan A Boggs
- Uniformed Services University of the Health Sciences, Bethesda, Md.
| | - V Koneti Rao
- National Institutes of Health, National Institute of Allergy and Infectious Diseases, Bethesda, Md
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Cameron S, Gillio-Meina C, Ranger A, Choong K, Fraser DD. Collection and Analyses of Cerebrospinal Fluid for Pediatric Translational Research. Pediatr Neurol 2019; 98:3-17. [PMID: 31280949 DOI: 10.1016/j.pediatrneurol.2019.05.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 05/23/2019] [Accepted: 05/27/2019] [Indexed: 12/18/2022]
Abstract
Cerebrospinal fluid sample collection and analysis is imperative to better elucidate central nervous system injury and disease in children. Sample collection methods are varied and carry with them certain ethical and biologic considerations, complications, and contraindications. Establishing best practices for sample collection, processing, storage, and transport will ensure optimal sample quality. Cerebrospinal fluid samples can be affected by a number of factors including subject age, sampling method, sampling location, volume extracted, fraction, blood contamination, storage methods, and freeze-thaw cycles. Indicators of sample quality can be assessed by matrix-associated laser desorption/ionization time-of-flight mass spectrometry and include cystatin C fragments, oxidized proteins, prostaglandin D synthase, and evidence of blood contamination. Precise documentation of sample collection processes and the establishment of meticulous handling procedures are essential for the creation of clinically relevant biospecimen repositories. In this review we discuss the ethical considerations and best practices for cerebrospinal fluid collection, as well as the influence of preanalytical factors on cerebrospinal fluid analyses. Cerebrospinal fluid biomarkers in highly researched pediatric diseases or disorders are discussed.
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Affiliation(s)
| | | | - Adrianna Ranger
- Pediatrics, Western University, London, Ontario, Canada; Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Karen Choong
- Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Douglas D Fraser
- Pediatrics, Western University, London, Ontario, Canada; Children's Health Research Institute, London, Ontario, Canada; Clinical Neurological Sciences, Western University, London, Ontario, Canada; Physiology and Pharmacology, Western University, London, Ontario, Canada; Translational Research Centre, London, Ontario, Canada.
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Krobisch V, Deutschbein J, Möckel M, Schmiedhofer M, Schneider A, Inhoff T, Keil T, Heintze C, Rose M, Müller-Werdan U, Schenk L. [Empirical health services research in emergency and acute medicine : Preliminary results of concomitant monitoring of patient recruitment and sample quality]. Med Klin Intensivmed Notfmed 2019; 115:125-133. [PMID: 30603954 DOI: 10.1007/s00063-018-0522-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 10/22/2018] [Accepted: 11/09/2018] [Indexed: 11/24/2022]
Abstract
BACKGROUND Up until now, research data on the implementation of empirical health services research in emergency departments in Germany are scarce. STUDY AIM A monitoring instrument applied in a multicenter prospective cohort study in emergency departments (EDs) is described and discussed regarding requirements for the control and supervision of data collection. MATERIALS AND METHODS Patients with cardiac diseases, respiratory tract infections, and hip fractures were recruited in eight EDs located in a central district of Berlin. Enrolment figures and nonresponder reasons were analyzed through descriptive statistics. Potential sample bias was examined in terms of response rates as well as the distribution of age and sex in the group of participants and nonresponders. Qualitative content analysis was applied to data from routine supervisory and feedback meetings with study nurses. RESULTS Within the first 8 months of data collection, 61.1% of the aimed 1104 patients were recruited. Most frequently stated nonresponder reasons were the dense work and care processes in EDs (41.9%) and patients' disease burden (24.7%). Moreover, qualitative results revealed problems with identifying potentially eligible participants and difficulties because of missing research infrastructure in study centers. The response rate of 50.7% and approximately equal distribution of age and sex in participants and nonresponders do not indicate sample biases. DISCUSSION The monitoring instrument has proven to be suited for empirical research in EDs and revealed optimization potential. We recommend using qualitative and quantitative data systematically.
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Affiliation(s)
- V Krobisch
- Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland.
| | - J Deutschbein
- Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
| | - M Möckel
- Notfall- und Akutmedizin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
| | - M Schmiedhofer
- Notfall- und Akutmedizin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
| | - A Schneider
- Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
| | - T Inhoff
- Notfall- und Akutmedizin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
| | - T Keil
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
| | - C Heintze
- Institut für Allgemeinmedizin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
| | - M Rose
- Medizinische Klinik mit Schwerpunkt Psychosomatik, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
| | - U Müller-Werdan
- Klinik für Geriatrie und Altersmedizin der Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, und Evangelisches Geriatriezentrum Berlin, Berlin, Deutschland
| | - L Schenk
- Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Deutschland
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Liang K, Wu H, Hu TY, Li Y. Mesoporous silica chip: enabled peptide profiling as an effective platform for controlling bio- sample quality and optimizing handling procedure. Clin Proteomics 2016; 13:34. [PMID: 27895544 PMCID: PMC5120552 DOI: 10.1186/s12014-016-9134-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 11/10/2016] [Indexed: 12/11/2022] Open
Abstract
Background High quality clinical samples are critical for meaningful interpretation of data obtained in both basic and translational medicine. More specifically, optimized pre-analysis handling to bio-sample is crucial for avoiding biased analysis in a clinical setting. A universally applicable method for the evaluation of sample quality and pre-analysis handling is therefore in great demand. Methods The fingerprint pattern of low molecular weight (LMW) peptides in sera is directly associated with sample quality and handling process. Previous studies for enrichment/isolation of LMW peptides have shown that LMW peptides can be enriched by silica meso-porous material in a sensitive and high-throughput manner. Here, a peptide profile approach utilizing mesoporous silica chip-based sample preparation combined with MALDI MS analysis was used as a new platform for evaluation of bio-sample quality. Rat sera were selected as model sample and analyzed according to their LMW peptide fingerprint spectra. Results This novel method can complete the entire sample preparation procedure in a short period of time (<40 min), requires minimum amounts of sample (<10 µL), is of high sensitivity (LOD 10 ng/mL) as well as high reproducibility (CV% < 15%). According to the acquired LMW peptide spectra, we were able to distinguish the serum samples processed under different conditions (including different storage temperature, time, and freezing/thaw cycles) with the help of bioinformatics tools (principle composition analysis and significant difference analysis), and identify the samples that had significantly changed due to the inappropriate processing. Based on the percentage of significantly changed peaks in LMW peptide mass spectrum after handling, a judgment standard was established that can be used to evaluate the status of preservation of a biological sample. In addition, our principle study established recommendations for storage time, storage temperature and freeze/thaw conditions. Conclusion Our novel method for analysis of bio-samples allows for effective identification of variations in composition within samples, and provides a cost-effective tool for simple sample manipulation in a clinical setting.
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Affiliation(s)
- Kai Liang
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101 China
| | - Hongmei Wu
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101 China ; GuangDong Bio-healtech Advanced Co., Ltd, Foshan City, 52800 GuangDong Province China
| | - Tony Y Hu
- Department of Nanomedicine, The Methodist Hospital Research Institute, Houston, TX 77030 USA ; Department of Cell and Developmental Biology, Weill Cornell Medical College of Cornell University, 445 E. 69th Street, New York, NY 10021 USA
| | - Yan Li
- Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101 China
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Ashavaid TF, Dandekar SP, Khodaiji S, Ansari MH, Singh AP. Influence of method of specimen collection on various preanalytical sample quality indicators in EDTA blood collected for cell counting. Indian J Clin Biochem 2009; 24:356-60. [PMID: 23105860 DOI: 10.1007/s12291-009-0064-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Improving specimen quality as well as healthcare worker (HCW) safety poses significant concerns for today's laboratories. With an increasing number of diagnostic tests requested, laboratory professionals are faced with challenges to reduce laboratory errors, improve the quality of laboratory results to assure accurate diagnosis and implement initiatives to ensure healthcare worker safety and minimize risk of exposure to bloodborne pathogens. A prior study conducted in 2008 reported that variations in blood collection methods for clinical chemistry assays may affect overall specimen quality. As a follow up, the current study assessed the quality of 22563 patient specimens for cell counting in EDTA blood collection tubes that were obtained with needle and syringe collection (open) using either disposable tubes or re-washed glass vials or with an evacuated blood collection system (closed). Based on the observations, the use of the evacuated blood collection system resulted in better preanalytical specimen quality as compared with needle and syringe collection. The findings also showed an approximately 70-fold reduction in the incidence of clotting as well as fewer instrument-generated flags using the evacuated collection system. In addition, the use of an evacuated collection system for venous blood collection demonstrated lesser chance of blood exposure to healthcare workers.
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Affiliation(s)
- Tester F Ashavaid
- Department of Laboratory Medicine, P.D. Hinduja National Hospital & Medical Research Center, Mahim, Mumbai, 400016 India ; Department of Laboratory Medicine, P. D. Hinduja National Hospital & Medical Research Centre, Veer Savarkar Marg, Mahim, Mumbai, 400 016 India
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