Literature DB >> 17027951

Comparison of plasma beta-globin DNA and S-100 protein concentrations in acute stroke.

Timothy H Rainer1, Ka Sing Wong, Wynnie Lam, Nicole Y L Lam, Colin A Graham, Y M Dennis Lo.   

Abstract

BACKGROUND: This study aimed to compare changes in plasma beta-globin DNA and serum S100 protein to diagnose stroke and for predicting mortality and morbidity.
METHODS: Patients with stroke-like symptoms presenting to the emergency department of a Hong Kong hospital were recruited. Plasma DNA was analyzed for the beta-globin gene with fluorescent-based PCR. S100 concentrations were determined using ELISA. Primary outcomes were diagnosis of stroke, mortality, and modified Rankin Score (mRS) after 6 months.
RESULTS: One hundred ninety-seven consecutive patients recruited, 118 (60%) ischemic stroke, 35 (18%) hemorrhage and 44 (22%) with no acute neuroimaging changes. Serum S100 and plasma DNA were increased in 126 (p<0.0010) and 36 (p=0.21) stroke patients respectively vs. controls. Median plasma DNA was higher in hemorrhagic stroke than those without (1725 vs. 1050 kilogenome-equivalents/l, p=0.0104). Median plasma DNA was higher in mRS>2 vs. mRS<or=2 (1350 vs. 1025, p=0.0103), and higher in non-survivors vs. survivors (1625 vs. 1050, p=0.0070). Median serum S100 higher in mRS>2 patients vs. mRS<or=2 (0.152 vs. 0.131 microg/l, p=0.0003). The odds ratio (OR) of discriminating hemorrhagic from non-hemorrhagic stroke with DNA was 4.24 (95% CI 1.88-9.56); S100 and DNA together give an OR of 16.55.
CONCLUSION: For stroke diagnosis, S100 performs better than DNA; DNA is a better marker for hemorrhage. For diagnosis of hemorrhagic stroke, combined S100 and DNA performs better than either alone. Plasma DNA and serum S100 predict morbidity and mortality in stroke.

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Year:  2006        PMID: 17027951     DOI: 10.1016/j.cca.2006.08.025

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  10 in total

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Journal:  Pediatr Surg Int       Date:  2014-11-04       Impact factor: 1.827

Review 2.  Systemic inflammation in hemorrhagic strokes - A novel neurological sign and therapeutic target?

Authors:  Aisha R Saand; Fang Yu; Jun Chen; Sherry H-Y Chou
Journal:  J Cereb Blood Flow Metab       Date:  2019-04-08       Impact factor: 6.200

3.  Molecular biomarkers in stroke diagnosis and prognosis.

Authors:  Matthew B Maas; Karen L Furie
Journal:  Biomark Med       Date:  2009-08-01       Impact factor: 2.851

4.  Cell-free DNA and outcome in sepsis.

Authors:  Andrew Rhodes; Maurizio Cecconi
Journal:  Crit Care       Date:  2012-11-08       Impact factor: 9.097

5.  To study the correlation of serum S-100 protein level with the severity of stroke and its prognostic implication.

Authors:  Harish Kumar; Manoj Lakhotia; Hansraj Pahadiya; Jagdish Singh
Journal:  J Neurosci Rural Pract       Date:  2015 Jul-Sep

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Authors:  Gahee Park; Joo Kyung Park; Seung-Ho Shin; Hyo-Jeong Jeon; Nayoung K D Kim; Yeon Jeong Kim; Hyun-Tae Shin; Eunjin Lee; Kwang Hyuck Lee; Dae-Soon Son; Woong-Yang Park; Donghyun Park
Journal:  Genome Biol       Date:  2017-07-21       Impact factor: 13.583

7.  Circulating cell-free DNA is a predictor of short-term neurological outcome in stroke patients treated with intravenous thrombolysis.

Authors:  Alejandro Bustamante; Fernando Mancha; Hada C Macher; Teresa García-Berrocoso; Dolors Giralt; Marc Ribó; Juan M Guerrero; Joan Montaner
Journal:  J Circ Biomark       Date:  2016-09-26

8.  Cell free DNA: A Novel Predictor of Neurological Outcome after Intravenous Thrombolysis and/or Mechanical Thrombectomy in Acute Ischemic Stroke Patients.

Authors:  Atulabh Vajpeyee; Teddy Wijatmiko; Manisha Vajpeyee; Onjal Taywade
Journal:  Neurointervention       Date:  2018-03-02

9.  Serial plasma DNA levels as predictors of outcome in patients with acute traumatic cervical spinal cord injury.

Authors:  Hung-Chen Wang; Yu-Tsai Lin; Shih-Yuan Hsu; Nai-Wen Tsai; Yun-Ru Lai; Ben Yu-Jih Su; Chia-Te Kung; Cheng-Hsien Lu
Journal:  J Transl Med       Date:  2019-10-01       Impact factor: 5.531

Review 10.  Metabolome Changes in Cerebral Ischemia.

Authors:  Tae Hwan Shin; Da Yeon Lee; Shaherin Basith; Balachandran Manavalan; Man Jeong Paik; Igor Rybinnik; M Maral Mouradian; Jung Hwan Ahn; Gwang Lee
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  10 in total

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