Literature DB >> 25672224

Serum miR-122 correlates with short-term mortality in sepsis patients.

Huijuan Wang, Bingxiang Yu, Jie Deng, Yang Jin, Lixin Xie.   

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Year:  2014        PMID: 25672224      PMCID: PMC4262971          DOI: 10.1186/s13054-014-0704-9

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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Sepsis is one of the leading causes of death in the ICU. The pathogenesis of sepsis remains incompletely understood, thereby impeding the development of therapeutics, diagnostics and biomarkers to predict outcomes [1]. Our previous studies have proved that miR-122, miR-193b*, miR-483-5p and miR-574-5p were all differentially expressed between sepsis survivors and non-survivors, differentiated by 28-day mortality [2,3]. However, whether these biomarkers related to patients with both sepsis and acute respiratory distress syndrome (ARDS) remains unclear. Here we evaluate the levels of these four microRNAs (miRNAs) along with C-reactive protein (CRP), procalcitonin (PCT), Sequential Organ Failure Assessment (SOFA) score, and Acute Physiology and Chronic Health Evaluation (APACHE) II score to determine the ideal biomarkers for sepsis patients. Serum samples were collected from 232 sepsis patients who were admitted to ICUs of the Chinese PLA General Hospital. All the patients met the definition of sepsis developed in 2003 [4]. Inclusion and exclusion criteria are described in Table 1. Another 24 normal individuals were also included in this study. Serum levels of miRNAs, CRP and PCT were analyzed using methods as described in detail previously [3]. This study was approved by the ethics committee of the Chinese PLA General Hospital. Appropriate informed consent was obtained from each patient and normal individual.
Table 1

Inclusion and exclusion criteria

Inclusion criteria Exclusion criteria
1) Sepsis patients all met the definitions of the 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference [4]1) Patients who were younger than 18 years old
2) Patients who were immunosuppressed
3) Patients who did not receive adequate treatment
4) Patients who did not give their written informed consent
2) All patients received standard protocols of clinical care
Inclusion and exclusion criteria The clinical data of these 232 patients are shown in Table 2. After comparison of the levels of the four miRNAs in three pairs of groups (normal individuals and sepsis patients, survivors and non-survivors, sepsis without ARDS and sepsis plus ARDS), only the cycle threshold of mir-122 was differentially expressed in all three (P < 0.01) (Figure 1). Univariable and multivariable regression analyses were then used to evaluate the association between miR-122 and 28-day mortality in different ICUs. After adjustment using clinical data and additional parameters (SOFA score, APACHE II score and ARDS), the odds ratio of miR-122 association with 28-day mortality was around 0.376 to 0.868 (P < 0.05) in the different ICUs. The area under the curve for the predictive value of miR-122 was around 0.706 to 0.770 (P < 0.01) with high sensitivity and specificity (Table 3). As a result, only miR-122 can be used as a biomarker with regards to patients with both sepsis and ARDS. miR-122 is a liver-specific miRNA and levels of it in serum were correlated with drug-induced liver injury [5]. We reported that miR-122 correlated with coagulation disorders in sepsis patients and serum levels of miR-122 correlated with serum antithrombin III levels [6]. Our study reveals a potential novel target to develop a biomarker for sepsis prognosis and therapeutic strategies.
Table 2

Clinical characteristics of the 232 sepsis patients

Category Variables Sepsis (n = 232)
Demographic parametersGender (male/female)169/63
Age in years (median (range))59 (19, 91)
Clinical parametersICU type
  Medical232 (100%)
  Cardiac79 (34.05%)
  Surgical95 (40.95%)
  Trauma25 (10.77%)
  Cancer24 (10.34%)
  Other15 (6.46%)
APACHE II score18 (1, 39)
SOFA score7 (0, 19)
Acute kidney injury61 (26.29%)
Mechanical ventilation171 (73.71%)
Heat failure121 (52.15%)
Liver failure103 (44.39%)
ARDS60 (28.17%)a
28-day mortality45.69%
BiomarkersmiR-12217.75 ± 3.40 cycles
miR-193b*17.73 ± 4.81 cycles
miR-574-5p21.19 ± 3.64 cycles
miR-483-5p18.99 ± 4.24 cycles
CRP (mg/dl)8.9 (0.1, 35)
PCT (ng/ml)4.63 (0.05,119.44)

aARDS data of 19 patients were missing. APACHE, Acute Physiology and Chronic Health Evaluation; ARDS, acute respiratory distress syndrome; CRP, C-reactive protein; PCT, procalcitonin; SOFA, Sequential Organ Failure Assessment. APACHE II score, SOFA score, CRP and PCT are all given as median (range).

*ARDS data of 19 patients were missing.

Figure 1

Cycle thresholds of the four microRNAs (miRNAs) in the three pairs of groups. ARDS, acute respiratory distress syndrome.

Table 3

The association between miR-122 levels and 28-day mortality in sepsis patients

All patients (n = 232) RICU (n = 67) SICU (n = 121) EICU (n = 44)
Odds ratios of miR-122 (95% CI)
Unadjusteda 0.775 (0.703, 0.853)0.776 (0.664, 0.908)0.77 (0.662, 0.894)0.764 (0.610, 0.956)
P < 0.001 P = 0.001 P = 0.001 P = 0.019
Adjustedb 0.789 (0.713, 0.872)0.777 (0.663, 0.911)0.763 (0.655, 0.888)0.650 (0.474, 0.891)
P < 0.001 P = 0.002 P < 0.001 P = 0.007
Adjustedb +0.772 (0.690, 0.863)0.781(0.665, 0.918)0.791(0.677,0.925)0.631 (0.448, 0.890)
SOFA score P < 0.001 P = 0.003 P = 0.003 P = 0.009
Adjustedb +0.815 (0.734, 0.905)0.709 (0.578, 0.870)0.753 (0.639, 0.887)0.622 (0.431, 0.897)
APACHE II score P < 0.001 P = 0.001 P = 0.001 P = 0.011
Adjustedb +0.812 (0.724, 0.911)0.868 (0.647, 0.967)0.721 (0.599, 0.867)0.376 (0.133, 0.865)
ARDS P < 0.001 P = 0.023 P = 0.001 P = 0.034
The predictive value of miR-122
AUC (95% CI)0.732 (0.665, 0.799)0.763 (0.65,0.877)0.706 (0.611,0.802)0.770 (0.574, 0.966)
P-value< 0.001< 0.001< 0.0010.009
Sensitivity79.5%75.9%79.4%80%
Specificity63.5%70.3%60.7%81.8%

aUnadjusted by any value. bAdjusted by age and gender. APACHE, Acute Physiology and Chronic Health Evaluation; ARDS, acute respiratory distress syndrome; AUC, are under the curve; EICU, Emergency Intensive Care Unit; RICU, Respiratory Intensive Care Unit; SICU, Surgery’s Intensive Care Unit; SOFA, Sequential Organ Failure Assessment.

Clinical characteristics of the 232 sepsis patients aARDS data of 19 patients were missing. APACHE, Acute Physiology and Chronic Health Evaluation; ARDS, acute respiratory distress syndrome; CRP, C-reactive protein; PCT, procalcitonin; SOFA, Sequential Organ Failure Assessment. APACHE II score, SOFA score, CRP and PCT are all given as median (range). *ARDS data of 19 patients were missing. Cycle thresholds of the four microRNAs (miRNAs) in the three pairs of groups. ARDS, acute respiratory distress syndrome. The association between miR-122 levels and 28-day mortality in sepsis patients aUnadjusted by any value. bAdjusted by age and gender. APACHE, Acute Physiology and Chronic Health Evaluation; ARDS, acute respiratory distress syndrome; AUC, are under the curve; EICU, Emergency Intensive Care Unit; RICU, Respiratory Intensive Care Unit; SICU, Surgery’s Intensive Care Unit; SOFA, Sequential Organ Failure Assessment.
  6 in total

Review 1.  2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference.

Authors:  Mitchell M Levy; Mitchell P Fink; John C Marshall; Edward Abraham; Derek Angus; Deborah Cook; Jonathan Cohen; Steven M Opal; Jean-Louis Vincent; Graham Ramsay
Journal:  Crit Care Med       Date:  2003-04       Impact factor: 7.598

2.  Serum miR-574-5p: a prognostic predictor of sepsis patients.

Authors:  Huijuan Wang; Kun Meng; Wei jun Chen; Dan Feng; Yanhong Jia; Lixin Xie
Journal:  Shock       Date:  2012-03       Impact factor: 3.454

3.  Circulating microRNAs as potential markers of human drug-induced liver injury.

Authors:  Philip J Starkey Lewis; James Dear; Vivien Platt; Kenneth J Simpson; Darren G N Craig; Daniel J Antoine; Neil S French; Neeraj Dhaun; David J Webb; Eithne M Costello; John P Neoptolemos; Jonathan Moggs; Chris E Goldring; B Kevin Park
Journal:  Hepatology       Date:  2011-11       Impact factor: 17.425

4.  Serum miR-122 levels are related to coagulation disorders in sepsis patients.

Authors:  Hui-Juan Wang; Jie Deng; Jing-Yang Wang; Peng-Jun Zhang; Zhang Xin; Kun Xiao; Dan Feng; Yan-Hong Jia; You-Ning Liu; Li-Xin Xie
Journal:  Clin Chem Lab Med       Date:  2014-06       Impact factor: 3.694

5.  Intensive insulin therapy and pentastarch resuscitation in severe sepsis.

Authors:  Frank M Brunkhorst; Christoph Engel; Frank Bloos; Andreas Meier-Hellmann; Max Ragaller; Norbert Weiler; Onnen Moerer; Matthias Gruendling; Michael Oppert; Stefan Grond; Derk Olthoff; Ulrich Jaschinski; Stefan John; Rolf Rossaint; Tobias Welte; Martin Schaefer; Peter Kern; Evelyn Kuhnt; Michael Kiehntopf; Christiane Hartog; Charles Natanson; Markus Loeffler; Konrad Reinhart
Journal:  N Engl J Med       Date:  2008-01-10       Impact factor: 91.245

6.  Serum microRNA signatures identified by Solexa sequencing predict sepsis patients' mortality: a prospective observational study.

Authors:  Huijuan Wang; Pengjun Zhang; Weijun Chen; Dan Feng; Yanhong Jia; Lixin Xie
Journal:  PLoS One       Date:  2012-06-15       Impact factor: 3.240

  6 in total
  19 in total

Review 1.  Role of microRNAs in sepsis.

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2.  MiR-15a/16 Regulates Apoptosis of Lung Epithelial Cells after Oxidative Stress.

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Review 3.  Opportunities for microRNAs in the Crowded Field of Cardiovascular Biomarkers.

Authors:  Perry V Halushka; Andrew J Goodwin; Marc K Halushka
Journal:  Annu Rev Pathol       Date:  2018-10-17       Impact factor: 23.472

Review 4.  The involvement of regulatory non-coding RNAs in sepsis: a systematic review.

Authors:  Jeffery Ho; Hung Chan; Sunny H Wong; Maggie H T Wang; Jun Yu; Zhangang Xiao; Xiaodong Liu; Gordon Choi; Czarina C H Leung; Wai T Wong; Zheng Li; Tony Gin; Matthew T V Chan; William K K Wu
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Review 5.  Non-coding RNA: a potential biomarker and therapeutic target for sepsis.

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6.  Inflammation-related microRNA expression level in the bovine milk is affected by mastitis.

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Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

Review 7.  Cellular and viral microRNAs in sepsis: mechanisms of action and clinical applications.

Authors:  Dana Elena Giza; Enrique Fuentes-Mattei; Marc David Bullock; Stefan Tudor; Matthew Joseph Goblirsch; Muller Fabbri; Florea Lupu; Sai-Ching Jim Yeung; Catalin Vasilescu; George Adrian Calin
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8.  Exosomes Derived From Heat Stroke Cases Carry miRNAs Associated With Inflammation and Coagulation Cascade.

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Journal:  Front Immunol       Date:  2021-06-22       Impact factor: 7.561

Review 9.  Use of miRNAs as biomarkers in sepsis.

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Journal:  Anal Cell Pathol (Amst)       Date:  2015-06-28       Impact factor: 2.916

Review 10.  Circulating MicroRNAs as Biomarkers for Sepsis.

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Journal:  Int J Mol Sci       Date:  2016-01-09       Impact factor: 5.923

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