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Article

Application of Mitochondrial and Oxidative Stress Biomarkers in the Evaluation of Neurocognitive Prognosis Following Acute Carbon Monoxide Poisoning

1
Department of Emergency Medicine, Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
2
Research Institute of Hyperbaric Medicine and Science, Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
3
Mitohormesis Research Center, Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
4
Department of Physiology, Wonju College of Medicine, Yonsei University, Wonju 26426, Korea
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Metabolites 2022, 12(3), 201; https://doi.org/10.3390/metabo12030201
Submission received: 30 December 2021 / Revised: 10 February 2022 / Accepted: 22 February 2022 / Published: 24 February 2022
(This article belongs to the Special Issue Blood-Based Biomarkers for Metabolic Syndrome)

Abstract

:
Mitochondrial and oxidative stress play critical roles in the pathogenic mechanisms of carbon monoxide (CO)-induced toxicity. This study was designed to evaluate whether the serum levels of specific stress biomarkers might reflect brain injury and act as prognostic markers for the development of neurocognitive sequelae following CO poisoning. We analyzed the data from 51 adult patients admitted with acute CO poisoning and measured the serum level expression of growth differentiation factor 15 (GDF15) and fibroblast growth factor 21 (FGF21), indicators of mitochondrial stress, and 8-Oxo-2′-deoxyguanosine (8-OHdG) and malondialdehyde (MDA), indicators of oxidative stress. Serum was collected upon arrival at the hospital, at 24 h post treatment, and within 7 days of HBO2 therapy. Global Deterioration Scale scores were measured 1 month post incident and used to place the patients in either favorable or poor outcome groups. Initial serum GDF15 and 8-OHdG concentrations were significantly increased in the poor-outcome group and all four biomarkers decreased at 24 h post HBO2 therapy, and were then maintained or further decreased at the 1-week mark. Notably, the degree of change in these biomarkers between baseline and 24 h post HBO2 were significantly larger in the poor-outcome group, reflecting greater CO-associated stress, confirming that post-CO poisoning serum biomarker levels and their response to HBO2 were proportional to the initial stress. We suggest that these biomarkers accurately reflect neuronal toxicity in response to CO poisoning, which is consistent with their activity in other pathologies.

1. Introduction

Carbon monoxide (CO) is a colorless, tasteless, odorless gas usually produced by the incomplete combustion of carbon compounds and common sources include fires, engine exhausts and faulty furnaces [1]. Each year, about 50,000 people are admitted to the emergency department (ED) for CO poisoning [2], which causes 1500 deaths in the USA every year [3]. Randomized control trials have shown that hyperbaric oxygen (HBO2) therapy is beneficial for symptomatic patients when administered within 24 h of CO poisoning [4]. Acute CO poisoning can produce serious neurologic sequelae, affecting the patient’s long-term prognosis. However, there are no known serum biomarkers for predicting post-CO poisoning prognosis.
One of the central pathophysiological mechanisms of CO toxicity is mediated via the inhibition of mitochondrial respiration. CO blocks electron-transport chain activity by binding to the ferrous hem within the cytochrome c oxidase (COX; complex IV) active site. This shuts down oxidative phosphorylation, similar to the effects of both cyanide and nitric oxide [1,5,6,7]. Since COX has a three-fold higher binding affinity for CO than O2, CO-mediated mitochondrial inhibition is significantly worse under hypoxic conditions due to a reduction in the competitive binding of O2 and CO [8,9]. COX inhibition induces a reduction in oxidative phosphorylation causing a decrease in adenosine triphosphate production within the affected tissues [1,10]. However, because other complexes in the electron transport chain continue to shuttle electrons, there is an increase in superoxide production leading to further injury of cells and tissues [11]. Oxidative stress induced by CO poisoning is also implicated in the serious neurologic complications associated with CO exposure. Acute CO poisoning causes neutrophil degranulation [12] and induces the release of myeloperoxidase (MPO), proteases, and reactive oxygen species [12]. This oxidative stress leads to xanthine dehydrogenase transformation to xanthine oxidase in the endothelial cells, as well as lipid peroxidation and apoptosis [12,13].
Growth differentiation factor 15 (GDF15) is known to regulate food intake and energy metabolism while fibroblast growth factor 21 (FGF21) is also known to be involved in nutrient metabolism and adaptive thermogenesis. Interestingly, increased GDF15 and FGF21 expression has been shown to exert some protective effects against various pathogenic conditions including heart failure and obesity [14]. Recent studies have also shown that both GDF15 and FGF21 are induced by mitochondrial stress and are commonly referred to as stress hormones [15]. Circulating GDF15 and FGF21 levels can be used to predict the diagnosis and prognosis of metabolic syndrome and cardiovascular diseases [16,17], while 8-Oxo-2′-deoxyguanosine (8-OHdG) and malondialdehyde (MDA) have been frequently used as serum biomarkers for oxidative stress in cancer, psychiatry, chronic obstructive pulmonary disease, asthma, and various cardiovascular diseases [18,19].
We previously reported that HBO2 therapy significantly reduced mitochondrial stress biomarker expression in a human volunteer study, suggesting a potential beneficial effect for the application of HBO2 in mitigating mitochondrial stress [20]. Given their clear application in other pathologic conditions, we hypothesized that the severity of the neurocognitive sequelae induced following acute CO poisoning may be correlated with serum mitochondrial (GDF15 and FGF21) and oxidative stress (8-OHdG and MDA) biomarkers. Therefore, we designed this study to investigate whether the severity of neurocognitive sequelae following acute CO poisoning correlates with serum mitochondrial and oxidative stress biomarkers and if HBO2 therapy might reduce these effects.

2. Results

2.1. Characteristics of the Study Population

Only 51 of the 153 patients with CO poisoning who visited the ED between January 2020 and January 2021 were included in this study (Supplementary Materials Figure S1), 38 (74.5%) of whom were included in the favorable neurocognitive outcome group and 13 (25.5%) of whom experienced a poor neurocognitive outcome. Table 1 summarizes the demographic and baseline characteristics of the patient cohort and we noted that the poor outcome group were largely older (p < 0.001) and had a longer CO exposure time (p = 0.002) than the favorable outcome group. The mean GCS score was significantly lower (p = 0.006), and shock occurred more frequently (p = 0.046) in the poor outcome group. In addition, all of the evaluated complications were significantly more severe in the poor outcome group, with serum lactate (p = 0.042), creatine kinase (p < 0.001), and troponin I (p < 0.001) levels all increasing in the poor outcome group when compared to the favorable outcome group. Bicarbonate levels (p = 0.005) were also lower in the poor outcome group.

2.2. Changes in Stress Biomarkers Following Hyperbaric Oxygen Therapy

We found that the mean mitochondrial and oxidative stress indicator values were markedly decreased when compared with baseline and remained lower for up to 1-week following HBO2 therapy. This was most obvious with GDF15 which continued to decrease with time (Figure 1), all of which was consistent with our previous report [20].
Table 2 and Figure 2 present the correlation between neurocognitive sequelae and serum GDF15, FGF21, 8-OHdG, and MDA levels. Baseline GDF15 (p < 0.001) and 8-OHdG (p = 0.026) were significantly higher in the poor outcome group than in the favorable outcome group. HBO2 therapy induced significantly increased Δ% GDF15 (p = 0.005), FGF21 (p = 0.061), 8-OHdG (p < 0.001), and MDA (p < 0.001) in the poor outcome group.

2.3. Stratification of the Serum Mitochondrial and Oxidative Stress Biomarkers Based on Neurocognitive Outcome Following CO Poisoning

The AUROCs for Δ% of GDF15, 8-OHdG, and MDA were 0.757, 0.885, and 0.828, respectively (Supplementary Materials Figure S2). While univariate analyses revealed that the Δ% of both the oxidative and mitochondrial stress indicators (Wald χ2: 10.52 for Δ% 8-OHdG, p = 0.001; 9.27 for Δ% MDA, p = 0.002; 6.41 for Δ% GDF15, p = 0.011) were significantly associated with neurocognitive outcome, with these correlations being superior or comparable to that observed with CO exposure time (χ2 = 7.86, p = 0.005) and GCS at the ED (χ2 = 6.08, p = 0.014).

2.4. Potential Predictive Models for Neurocognitive Outcome Prognoses

We derived a potential prediction model (called the “CO prognosis index”), which included the best performing stress biomarkers. We then used a multivariate stepwise logistic regression analysis, with adjustment for variables with p values of <0.05 on univariate analyses, and identified Δ% MDA, GCS at the ED, Δ% GDF15, and CO exposure time (h) as significant independent predictors (rank-ordered by Wald χ2) for neurocognitive impairment and included these in our index (Table 3). Our CO prognosis index had excellent predictive capability with an AUROC value of 0.974 (Figure 3 and Supplementary Materials Table S2). The diagnostic power of the CO prognosis index was significantly higher than that of other models comprising the novel stress biomarkers alone, clinical information alone, or clinical information with routine laboratory data (Table 3 and Figure 3).

3. Discussion

Mitochondrial and oxidative stresses are important pathogenic molecular mechanisms involved in the development of neurocognitive complications in patients with acute CO poisoning. This led us to assume that the evaluation of these cellular stresses using serum biomarkers might help predict pathological progression, severity, and prognosis related to serious complications. In this study, we demonstrated that serum biomarkers reflecting mitochondrial and oxidative stresses demonstrate a significant correlation with neurocognitive outcomes following CO poisoning, which have not been reported previously. Interestingly, we noted that CO poisoning patients with poor neurocognitive outcomes demonstrated more significant changes in their mitochondrial and oxidative stress biomarker response to HBO2 therapy. These results imply that these patients experienced a greater decrease in these biomarker levels following HBO2 therapy which may suggest more serious initial damage following CO-related mitochondrial and oxidative stress. Therefore, changes in these stress biomarkers after HBO2 therapy could be a useful indicator of the degree of CO toxicity in patients entering hospital EDs.
Functional impairment of the mitochondria accompanied by increased superoxide production is also associated with metabolic syndrome and age-related morbidities. Vicious cycles involving oxidative, mitochondrial, and endoplasmic reticulum stress are critically associated with the pathogenic mechanisms of type 2 diabetes and metabolic syndrome [21]. To overcome these cellular stresses and to abate the pathological progression of metabolic diseases, the body induces the integrated stress response (ISR) to enable metabolic and mitochondrial flexibility. The ISR includes secretion of mitochondrial stress-inducible humoral factors, such as GDF15 and FGF21 [22]. However, sustained and uncompensated mitochondrial stress maintains these elevated GDF15 and FGF21 levels which may have other pathological effects [14].
GDF15 and FGF21 are expressed mainly in the liver, fat, muscle, kidney, lung, and pancreas, and are induced by activating transcription factor 4 (ATF4) from the ISR [23,24,25,26]. Various stresses and tissue injuries upregulate GDF15 and FGF21 expression and result in their greater release into the circulation, allowing them to suppress inflammation and prevent disease progression. GDF15 is also expressed in the choroid plexus, where it acts as a potent neurotrophic factor for motor and sensory neurons [23]. The role of serum GDF15 has been evaluated in large patient cohorts as a biomarker for mitochondrial dysfunction, obesity, diabetes, cardiovascular diseases, ageing, and age-related disorders [17,23,24]. FGF21 also plays a protective role against metabolic and oxidative stresses, as demonstrated by its upregulation in critical illnesses and its role in inducing antioxidant protein expression [27,28].
Here, circulating concentrations of both GDF15 and FGF21 were elevated in response to acute CO poisoning and notably, serum GDF15 was shown to exert a better discriminatory effect for poor neurocognitive outcomes following CO intoxication than FGF21. This finding was consistent with a previous report which revealed that GDF15 had a higher sensitivity and specificity than FGF21 when used as a biomarker for mitochondrial diseases associated with respiratory chain defects [24]. Furthermore, FGF21 plays a negligible role in the metabolism during mitochondrial stress adaptation in the muscles [29], and both GDF15 and FGF21 have been reported to play significantly different roles in the systemic adaptation to mitochondrial ISR [30]. Each stress marker may display its own pattern of changes based on disease conditions; therefore, simultaneous measurement of GDF15 and FGF21 often improve disease-detection [14,23].
The amelioration of brain injury by HBO2 therapy occurs via improved oxidative phosphorylation [7], suppressed oxidative stress and cytokine release [31], inhibited lipid peroxidation [32], impaired leukocyte adhesion to injured microvasculature [33], and reduced neuronal inflammation caused by CO-induced adduct formation in the myelin basic protein [34]. Experimental evidence has shown that HBO2 therapy protects against mitochondrial dysfunction [35] and improves mitochondrial biogenesis and respiration [36,37], thus supporting its beneficial and therapeutic effects. Furthermore, HBO2 therapy can reverse CO binding of COX [7,38] and reduce oxidative stress via various mechanisms, including increased hem oxygenase-1 [39,40], the upregulation of antioxidant enzymes [31,41], and the induction of the heat shock protein levels, which protects against oxidative stress-induced damage [42].
The initial mean GDF15 and FGF21 values of patients with CO poisoning were higher in this study than in our previous study on healthy adult volunteers (GDF15: 1.92 vs. 0.73 ng/mL; FGF21: 2.02 vs. 0.42 ng/mL) [20]. In addition, indirect comparisons of the 8-OHdG and MDA values from the patients in this cohort and that of other studies [43,44] revealed an increase in 8-OHdG and MDA in these patients (8-OHdG: 29.2 vs. 25.5 pg/mL; MDA: 2.02 vs. 1.25 nmol/mL). Elevated serum biomarkers in the early stages of CO poisoning demonstrate that acute CO exposure induces mitochondrial and oxidative stress. These comparisons agree with our finding that the poor neurocognitive outcome group present with increased initial stress biomarkers.
This study also established a possible predictive model using regression analysis and stress indicators to predict neurological sequelae following CO poisoning. This novel index showed superior performance for the prediction of neurocognitive prognosis by measuring serological markers of mitochondrial and oxidative stress than either the biomarkers alone or the clinical evaluations alone could produce. These values can be easily obtained via simple peripheral blood tests and can be combined with the patient’s medical history and physical examination to produce a clear matrix for prognosis. The addition of stress biomarkers significantly improves prognosis predictability compared with other models, which comprise clinical information, with or without routine laboratory results. This model, and our study in general, act as a proof of concept for the application of mitochondrial and oxidative stress markers as critical indicators for the pathophysiological impacts of CO-toxicity. Our data also show that these effects can be attenuated by the timeous application of HBO2 therapy. We suggest that the larger the reduction in stress biomarker expression following HBO2 therapy the more severe the negative impact of CO poisoning in relation to neurocognitive function and thus a poorer prognosis. However, given the high variability in the serum level expression of these biomarkers between individuals, the decrement change (Δ%) following HBO2 therapy is likely to be a better indicator for prognosis.
Despite the promising results of our evaluation, this study did have a few limitations. First, only a single tertiary medical center was involved in this study. In addition, since this study was conducted on individuals in Korea alone, the inference drawn based on this study population may or may not be applicable to other populations. Further studies on other populations are needed. Nonetheless, this is the first study of its kind, and we hope that more will follow. Second, due to the different lengths of hospitalization for each patient, the same serial follow-up was not performed for all patients. Third, oxidative stress increases with age. Given this, we note that while the median age was significantly higher in the “poor outcome” group, our multivariate logistic regression analysis suggests that age was not a discriminating variable for neurocognitive outcomes and thus was not used as an independent factor in our novel prognostic model. However, there may be some bias as a result of these age-related effects in the oxidative stress data which should be examined in the future. Fourth, evaluation of the pyruvate levels in specific samples might increase the reliability of our mitochondrial evaluations by facilitating an examination of the lactate/pyruvate ratio. However, we did not measure the pyruvate level in this study and will consider this in future evaluations. Prognostic prediction models need to be validated in future large-scale studies. However, our data suggest that future large multicenter studies with a multi-modal prognostic scheme are warranted to improve the usefulness and effectiveness of this approach.

4. Materials and Methods

4.1. Study Design and Setting

This was a prospective observational study designed to evaluate consecutive patients requiring HBO2 therapy for acute CO poisoning, admitted to the ED at Wonju Severance Christian Hospital (Wonju, Korea), between January 2020 and January 2021. The ED of this suburban, tertiary-care academic hospital records more than 46,000 visits annually and is staffed 24 h/day by board-certified emergency physicians. This study was approved by our hospital’s institutional review board (approval number: CR319100), and the study protocol complied with the ethical guidelines set out in the Declaration of Helsinki. Written informed consent was obtained from all participants and we anonymized the patient data before performing the analyses. This study has been registered at ClinicalTrials.gov, accessed on 1 December 2021 (NCT05088005).
The exclusion criteria are as follows: (1) age < 19 years; (2) a history of inherent mitochondrial disorders that might affect the primary outcome biomarkers [45]; (3) co-ingestion of drugs and alcohol, which may affect these biomarkers; (4) discharge from the ED or transfer to another hospital; (5) refusal to undergo HBO2 therapy; (6) refusal to enroll in this study; and (7) a lack of follow-up and neurocognitive assessment.
The diagnosis of CO poisoning was made based on the patient’s medical history and carboxyhemoglobin (CO-Hb) level > 5% (>10% in heavy smokers). Co-ingestion of drugs was confirmed using blood and urine screening tests, performed by the Forensic Toxicology Division at the National Forensic Service (Wonju, Korea). Serum ethanol levels were also evaluated to confirm alcohol ingestion.
We treated patients with CO poisoning using 100% O2 therapy supplied through a face mask with a reservoir bag. Patients who had an interval of loss of consciousness, neuropsychologic symptoms and signs, cognitive dysfunction, cardiovascular dysfunction, severe acidosis, or CO-Hb ≥25% were treated using HBO2 administered via a multi-place or mono-place hyperbaric chamber [46]. HBO2 therapy sessions included an initial compression up to 2.8 atmospheres absolute for 45 min, followed by 2 atmospheres absolute for 60 min.

4.2. Biomarkers of Mitochondrial and Oxidative Stress

Blood samples were collected from the antecubital vein and placed in serum separation tubes which were then centrifuged at 3000 rpm (1000 g-force) for 10 min before the serum was collected and immediately stored at −80 °C for further analysis. Serum biomarkers of mitochondrial, GDF15 and FGF21, and oxidative stress, 8-OHdG and MDA, were measured upon arrival at the ED (0 h) and at 24 h post and within 7 days of HBO2 therapy. In the case of discharge before 7 days, measurements were taken at the time of discharge. We also investigated the percentage change (Δ%) in these variables which was defined as (((value at 24-h post-HBO2 therapy completion − baseline value)/baseline value)× 100) for each of the four stress markers when comparing baseline and 24-h post-HBO2 therapy values.
Serum GDF15 and FGF21 concentrations were quantified using commercial enzyme-linked immunosorbent assay kits (DGD150, DF2100; R&D System, Minneapolis, MN, USA). Serum 8-OHdG levels were analyzed by liquid chromatography-tandem mass spectrometry (API-4000, Applied Biosystems, Foster City, CA, USA), after sample purification by solid-phase extraction. 8-OHdG (Sigma–Aldrich, St Louis, MO, USA) and 15N5 8-OHdG (Cambridge Isotope Laboratories, Andover, MA, USA) were used as the reference and internal standard, respectively. MDA levels were measured as MDA-thiobarbituric acid complex via high-performance liquid chromatography (Agilent 1200 HPLC series, Agilent, Santa Clara, CA, USA) using 1,1,3,3-tetramethoxypropan (Sigma–Aldrich, St. Louis, MO, USA) as a standard. Fluorometric detection was performed using 527-nm excitation and 551-nm emission.

4.3. Study Variables and Definitions

The following clinical variables were evaluated: age, sex, intention (suicide or accident), CO source (non-fire or fire), maximal CO exposure time (h), time from rescue to ED arrival (h), Glasgow Coma Scale (GCS) score at ED upon arrival, current smoking and drinking status, medical and psychiatric comorbidities, any interval of loss of consciousness, shock and seizure, and duration from the time of rescue to HBO2 administration (h). Maximal CO exposure time was defined as the estimated maximum duration from the time of the most recent episode of normal consciousness to the time of rescue. Complications (rhabdomyolysis, acute kidney injury, myocardial injury [defined as troponin I > 45.43 pg/mL], and pneumonia) during hospital admission were also investigated, and recorded using the following laboratory variables: CO-Hb blood levels, bicarbonate, and lactate levels in the arterial blood gas analysis, creatinine, creatine kinase, and troponin I at ED arrival.
We evaluated neurocognitive outcomes using the Global Deterioration Scale (GDS), a validated scoring system (range: 1–7) used for dementia assessment (Supplementary Materials Method S1 and Table S1) [47]. A higher GDS score indicates greater severity. The patients visited the rehabilitation outpatient department for their GDS evaluation 1 month post CO exposure. If the patient was unable to visit the outpatient department due to worsening condition, the patient’s guardians were interviewed. We classified the outcomes in terms of GDS scores as favorable (1–3 points) or poor (4–7 points) [48,49].

4.4. Study Outcomes

We used serum mitochondrial (GDF15 and FGF21) and oxidative stress (8-OHdG and MDA) biomarker levels pre- and post-HBO2 therapy as primary indicators in this study, comparing these values to assess whether HBO2 reduced stress. The secondary outcome of this study was the evaluation of these biomarkers as prognostic tools for neurocognitive outcomes 1 month post trauma.

4.5. Statistical Analyses

Data for continuous variables were presented as the median (interquartile range) or mean ± standard deviation while categorical variables were recorded as frequencies (percentages). Continuous data were tested for normality using the Shapiro–Wilk test and subgroups were compared using independent t-test or Mann–Whitney U test for continuous variables and the chi-square or Fisher’s exact tests for categorical variables. We used pairwise repeated-measure analysis of variance to assess individual changes in serum biomarker levels between the baseline and follow-up samples. These evaluations were completed using a Friedman test and Dunn’s multiple comparison correction. Variables with a p < 0.1 in the univariate analyses were then evaluated in the multivariate analysis using stepwise selection. The prognostic powers of prediction models were evaluated using area under the receiver operator characteristic curve (AUROC) analyses, with assessments of likelihood ratios, predictive values, and accuracy. The optimal cut-off values were determined using the Youden index and all statistical analyses were performed using SPSS 25.0 software (IBM Corp., Armonk, NY, USA) and Prism 8.0 (GraphPad Software, Inc., San Diego, CA, USA). Two-sided p values < 0.05 were considered statistically significant.

5. Conclusions

This study suggests that serum biomarkers for mitochondrial and oxidative stress correlate with the neurocognitive outcomes of CO poisoning. The changes in these biomarkers following HBO2 therapy are proportional to the initial stress imposed by CO poisoning and we suggest that serial measurements of these biomarkers could provide more information around the pathological stress burdens and disease progression of neurocognitive disorders and facilitate improved prognostic evaluations in not only acute CO toxicity but also other chronic metabolic and neurodegenerative diseases.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/metabo12030201/s1 [47,50,51,52,53]. Method S1: Description of the global deterioration scale. Figure S1: Flow diagram describing the study protocol. Figure S2: Receiver operating characteristic curve analyses of each of the stress biomarkers for predicting neurocognitive outcomes following CO poisoning. Table S1: Global deterioration scale values. Table S2: Predictive performance of the CO prognosis index in the evaluation of the neurocognitive outcomes following CO poisoning.

Author Contributions

Y.S.C., J.S.C., H.K. and K.-S.P. conceived and designed the study; J.S.C., Y.S.C., H.K. and K.-S.P. analyzed and interpreted the data; Y.S.C., J.S.C. and K.-S.P. drafted the manuscript; H.K. and K.-S.P. approved the final manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Research Foundation of Korea, which is funded by the Korean government (Ministry of Science and Information and Communications Technology, grant no. NRF-2019R1A2C2084604 and 2017R1A5A2015369).

Institutional Review Board Statement

This study’s protocol was approved by an institutional review board (approval number: CR319100), and complied with the ethical guidelines described in the Declaration of Helsinki.

Informed Consent Statement

Written informed consent has been obtained from the patient(s) to publish this paper.

Data Availability Statement

All the data described in this study are available within the article or its Supplementary Materials.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rose, J.J.; Wang, L.; Xu, Q.; McTiernan, C.F.; Shiva, S.; Tejero, J.; Gladwin, M.T. Carbon monoxide poisoning: Pathogenesis, management, and future directions of therapy. Am. J. Respir. Crit. Care Med. 2017, 195, 596–606. [Google Scholar] [CrossRef] [PubMed]
  2. Hampson, N.B.; Weaver, L.K. Carbon monoxide poisoning: A new incidence for an old disease. Undersea Hyperb Med. 2007, 34, 163–168. [Google Scholar] [PubMed]
  3. Hampson, N.B. U.S. Mortality due to carbon monoxide poisoning, 1999-2014. Accidental and intentional deaths. Ann. Am. Thor. Soc. 2016, 13, 1768–1774. [Google Scholar] [CrossRef]
  4. Weaver, L.K.; Hopkins, R.O.; Chan, K.J.; Churchill, S.; Elliott, C.G.; Clemmer, T.P.; Orme, J.F., Jr.; Thomas, F.O.; Morris, A.H. Hyperbaric oxygen for acute carbon monoxide poisoning. N. Engl. J. Med. 2002, 347, 1057–1067. [Google Scholar] [CrossRef]
  5. Goldbaum, L.R.; Orellano, T.; Dergal, E. Mechanism of the toxic action of carbon monoxide. Ann. Clin. Lab. Sci 1976, 6, 372–376. [Google Scholar]
  6. Brown, S.D.; Piantadosi, C.A. In vivo binding of carbon monoxide to cytochrome c oxidase in rat brain. J. Appl. Physiol. 1990, 68, 604–610. [Google Scholar] [CrossRef]
  7. Brown, S.D.; Piantadosi, C.A. Recovery of energy metabolism in rat brain after carbon monoxide hypoxia. J. Clin. Investig. 1992, 89, 666–672. [Google Scholar] [CrossRef]
  8. Gnaiger, E.; Lassnig, B.; Kuznetsov, A.; Rieger, G.; Margreiter, R. Mitochondrial oxygen affinity, respiratory flux control and excess capacity of cytochrome c oxidase. J. Exp. Biol. 1998, 201, 1129–1139. [Google Scholar] [CrossRef]
  9. Wald, G.; Allen, D.W. The equilibrium between cytochrome oxidase and carbon monoxide. J. Gen. Physiol 1957, 40, 593–608. [Google Scholar] [CrossRef] [Green Version]
  10. Fineschi, V.; Agricola, E.; Baroldi, G.; Bruni, G.; Cerretani, D.; Mondillo, S.; Parolini, M.; Turillazzi, E. Myocardial findings in fatal carbon monoxide poisoning: A human and experimental morphometric study. Int. J. Legal Med. 2000, 113, 276–282. [Google Scholar] [CrossRef]
  11. Lo Iacono, L.; Boczkowski, J.; Zini, R.; Salouage, I.; Berdeaux, A.; Motterlini, R.; Morin, D. A carbon monoxide-releasing molecule (corm-3) uncouples mitochondrial respiration and modulates the production of reactive oxygen species. Free Radic. Biol. Med. 2011, 50, 1556–1564. [Google Scholar] [CrossRef] [Green Version]
  12. Thom, S.R.; Bhopale, V.M.; Han, S.T.; Clark, J.M.; Hardy, K.R. Intravascular neutrophil activation due to carbon monoxide poisoning. Am. J. Respir. Crit. Care Med. 2006, 174, 1239–1248. [Google Scholar] [CrossRef] [PubMed]
  13. Piantadosi, C.A.; Zhang, J.; Levin, E.D.; Folz, R.J.; Schmechel, D.E. Apoptosis and delayed neuronal damage after carbon monoxide poisoning in the rat. Exp. Neurol. 1997, 147, 103–114. [Google Scholar] [CrossRef] [PubMed]
  14. Chang, E.; Chang, J.S.; Kong, I.D.; Baik, S.K.; Kim, M.Y.; Park, K.S. Multidimensional biomarker analysis including mitochondrial stress indicators for nonalcoholic fatty liver disease. Gut Liver 2022, 16. [Google Scholar] [CrossRef] [PubMed]
  15. Davis, R.L.; Liang, C.; Sue, C.M. A comparison of current serum biomarkers as diagnostic indicators of mitochondrial diseases. Neurology 2016, 86, 2010–2015. [Google Scholar] [CrossRef] [PubMed]
  16. Chow, W.S.; Xu, A.; Woo, Y.C.; Tso, A.W.; Cheung, S.C.; Fong, C.H.; Tse, H.F.; Chau, M.T.; Cheung, B.M.; Lam, K.S. Serum fibroblast growth factor-21 levels are associated with carotid atherosclerosis independent of established cardiovascular risk factors. Arterioscler. Thromb. Vasc. Biol. 2013, 33, 2454–2459. [Google Scholar] [CrossRef] [Green Version]
  17. Adela, R.; Banerjee, S.K. Gdf-15 as a target and biomarker for diabetes and cardiovascular diseases: A translational prospective. J. Diabetes Res. 2015, 2015, 490842. [Google Scholar] [CrossRef]
  18. Valavanidis, A.; Vlachogianni, T.; Fiotakis, C. 8-hydroxy-2’ -deoxyguanosine (8-ohdg): A critical biomarker of oxidative stress and carcinogenesis. J. Environ. Sci. Health C Environ. Carcinog. Ecotoxicol. Rev. 2009, 27, 120–139. [Google Scholar] [CrossRef] [Green Version]
  19. Khoubnasabjafari, M.; Ansarin, K.; Jouyban, A. Reliability of malondialdehyde as a biomarker of oxidative stress in psychological disorders. Bioimpacts 2015, 5, 123–127. [Google Scholar] [CrossRef]
  20. Chang, J.S.; Chang, E.; Lee, Y.; Cha, Y.S.; Cha, S.K.; Cho, W.G.; Jeong, Y.; Kim, H.; Park, K.S. Hyperbaric oxygen exposure attenuates circulating stress biomarkers: A pilot interventional study. Int. J. Environ. Res. Public Health 2020, 17, 7853. [Google Scholar] [CrossRef]
  21. Ly, L.D.; Xu, S.; Choi, S.K.; Ha, C.M.; Thoudam, T.; Cha, S.K.; Wiederkehr, A.; Wollheim, C.B.; Lee, I.K.; Park, K.S. Oxidative stress and calcium dysregulation by palmitate in type 2 diabetes. Exp. Mol. Med. 2017, 49, e291. [Google Scholar] [CrossRef] [PubMed]
  22. Salminen, A.; Kaarniranta, K.; Kauppinen, A. Integrated stress response stimulates fgf21 expression: Systemic enhancer of longevity. Cell Signal 2017, 40, 10–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Montero, R.; Yubero, D.; Villarroya, J.; Henares, D.; Jou, C.; Rodriguez, M.A.; Ramos, F.; Nascimento, A.; Ortez, C.I.; Campistol, J.; et al. Gdf-15 is elevated in children with mitochondrial diseases and is induced by mitochondrial dysfunction. PLoS ONE 2016, 11, e0148709. [Google Scholar] [CrossRef] [Green Version]
  24. Yatsuga, S.; Fujita, Y.; Ishii, A.; Fukumoto, Y.; Arahata, H.; Kakuma, T.; Kojima, T.; Ito, M.; Tanaka, M.; Saiki, R.; et al. Growth differentiation factor 15 as a useful biomarker for mitochondrial disorders. Ann. Neurol. 2015, 78, 814–823. [Google Scholar] [CrossRef] [Green Version]
  25. Morovat, A.; Weerasinghe, G.; Nesbitt, V.; Hofer, M.; Agnew, T.; Quaghebeur, G.; Sergeant, K.; Fratter, C.; Guha, N.; Mirzazadeh, M.; et al. Use of fgf-21 as a biomarker of mitochondrial disease in clinical practice. J. Clin. Med. 2017, 6, 80. [Google Scholar] [CrossRef] [Green Version]
  26. Chau, M.D.; Gao, J.; Yang, Q.; Wu, Z.; Gromada, J. Fibroblast growth factor 21 regulates energy metabolism by activating the ampk-sirt1-pgc-1alpha pathway. Proc. Natl. Acad. Sci. USA 2010, 107, 12553–12558. [Google Scholar] [CrossRef] [Green Version]
  27. Planavila, A.; Redondo-Angulo, I.; Ribas, F.; Garrabou, G.; Casademont, J.; Giralt, M.; Villarroya, F. Fibroblast growth factor 21 protects the heart from oxidative stress. Cardiovasc. Res. 2015, 106, 19–31. [Google Scholar] [CrossRef] [Green Version]
  28. Thiessen, S.E.; Vanhorebeek, I.; Derese, I.; Gunst, J.; Van den Berghe, G. Fgf21 response to critical illness: Effect of blood glucose control and relation with cellular stress and survival. J. Clin. Endocrinol. Metab. 2015, 100, E1319–E1327. [Google Scholar] [CrossRef] [Green Version]
  29. Ost, M.; Coleman, V.; Voigt, A.; van Schothorst, E.M.; Keipert, S.; van der Stelt, I.; Ringel, S.; Graja, A.; Ambrosi, T.; Kipp, A.P.; et al. Muscle mitochondrial stress adaptation operates independently of endogenous fgf21 action. Mol. Metab. 2016, 5, 79–90. [Google Scholar] [CrossRef]
  30. Kang, S.G.; Choi, M.J.; Jung, S.B.; Chung, H.K.; Chang, J.Y.; Kim, J.T.; Kang, Y.E.; Lee, J.H.; Hong, H.J.; Jun, S.M.; et al. Differential roles of gdf15 and fgf21 in systemic metabolic adaptation to the mitochondrial integrated stress response. iScience 2021, 24, 102181. [Google Scholar] [CrossRef]
  31. Gregorevic, P.; Lynch, G.S.; Williams, D.A. Hyperbaric oxygen modulates antioxidant enzyme activity in rat skeletal muscles. Eur. J. Appl. Physiol. 2001, 86, 24–27. [Google Scholar] [CrossRef] [PubMed]
  32. Thom, S.R. Antagonism of carbon monoxide-mediated brain lipid peroxidation by hyperbaric oxygen. Toxicol. Appl. Pharmacol. 1990, 105, 340–344. [Google Scholar] [CrossRef]
  33. Thom, S.R.; Mendiguren, I.; Hardy, K.; Bolotin, T.; Fisher, D.; Nebolon, M.; Kilpatrick, L. Inhibition of human neutrophil beta2-integrin-dependent adherence by hyperbaric O2. Am. J. Physiol. 1997, 272, C770–C777. [Google Scholar] [CrossRef] [PubMed]
  34. Thom, S.R.; Bhopale, V.M.; Fisher, D. Hyperbaric oxygen reduces delayed immune-mediated neuropathology in experimental carbon monoxide toxicity. Toxicol. Appl. Pharmacol. 2006, 213, 152–159. [Google Scholar] [CrossRef]
  35. Dave, K.R.; Prado, R.; Busto, R.; Raval, A.P.; Bradley, W.G.; Torbati, D.; Pérez-Pinzón, M.A. Hyperbaric oxygen therapy protects against mitochondrial dysfunction and delays onset of motor neuron disease in wobbler mice. Neuroscience 2003, 120, 113–120. [Google Scholar] [CrossRef]
  36. Suzuki, J. Endurance performance is enhanced by intermittent hyperbaric exposure via up-regulation of proteins involved in mitochondrial biogenesis in mice. Physiol. Rep. 2017, 5, e13349. [Google Scholar] [CrossRef]
  37. Takemura, A.; Ishihara, A. Mild hyperbaric oxygen inhibits growth-related decrease in muscle oxidative capacity of rats with metabolic syndrome. J. Atheroscler. Thromb. 2017, 24, 26–38. [Google Scholar] [CrossRef] [Green Version]
  38. Brown, S.D.; Piantadosi, C.A. Reversal of carbon monoxide-cytochrome c oxidase binding by hyperbaric oxygen in vivo. Adv. Exp. Med. Biol. 1989, 248, 747–754. [Google Scholar]
  39. Rothfuss, A.; Radermacher, P.; Speit, G. Involvement of heme oxygenase-1 (ho-1) in the adaptive protection of human lymphocytes after hyperbaric oxygen (hbo) treatment. Carcinogenesis 2001, 22, 1979–1985. [Google Scholar] [CrossRef] [Green Version]
  40. Speit, G.; Dennog, C.; Eichhorn, U.; Rothfuss, A.; Kaina, B. Induction of heme oxygenase-1 and adaptive protection against the induction of DNA damage after hyperbaric oxygen treatment. Carcinogenesis 2000, 21, 1795–1799. [Google Scholar] [CrossRef] [Green Version]
  41. Godman, C.A.; Joshi, R.; Giardina, C.; Perdrizet, G.; Hightower, L.E. Hyperbaric oxygen treatment induces antioxidant gene expression. Ann. N. Y. Acad. Sci. 2010, 1197, 178–183. [Google Scholar] [CrossRef] [PubMed]
  42. Shyu, W.C.; Lin, S.Z.; Saeki, K.; Kubosaki, A.; Matsumoto, Y.; Onodera, T.; Chiang, M.F.; Thajeb, P.; Li, H. Hyperbaric oxygen enhances the expression of prion protein and heat shock protein 70 in a mouse neuroblastoma cell line. Cell Mol. Neurobiol. 2004, 24, 257–268. [Google Scholar] [CrossRef] [PubMed]
  43. Koide, S.; Kinoshita, Y.; Ito, N.; Kimura, J.; Yokoyama, K.; Karube, I. Determination of human serum 8-hydroxy-2’-deoxyguanosine (8-ohdg) by hplc-ecd combined with solid phase extraction (spe). J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2010, 878, 2163–2167. [Google Scholar] [CrossRef] [PubMed]
  44. Mas-Bargues, C.; Escrivá, C.; Dromant, M.; Borrás, C.; Viña, J. Lipid peroxidation as measured by chromatographic determination of malondialdehyde. Human plasma reference values in health and disease. Arch. Biochem. Biophys. 2021, 709, 108941. [Google Scholar] [CrossRef]
  45. Boenzi, S.; Diodato, D. Biomarkers for mitochondrial energy metabolism diseases. Essays Biochem. 2018, 62, 443–454. [Google Scholar] [CrossRef] [PubMed]
  46. Weaver, L.K. Carbon monoxide poisoning. In Hyperbaric Oxygen Therapy Indications, 14th ed.; Moon, R.E., Ed.; Best Publishing Company: North Palm Beach, FL, USA, 2019; pp. 81–104. [Google Scholar]
  47. Reisberg, B.; Ferris, S.H.; de Leon, M.J.; Crook, T. The global deterioration scale for assessment of primary degenerative dementia. Am. J. Psychiatry 1982, 139, 1136–1139. [Google Scholar] [CrossRef] [Green Version]
  48. Cho, D.H.; Ko, S.M.; Son, J.W.; Park, E.J.; Cha, Y.S. Myocardial injury and fibrosis from acute carbon monoxide poisoning: A prospective observational study. JACC Cardiovasc. Imaging 2021, 14, 1758–1770. [Google Scholar] [CrossRef]
  49. Lee, Y.; Cha, Y.S.; Kim, S.H.; Kim, H. Effect of hyperbaric oxygen therapy initiation time in acute carbon monoxide poisoning. Crit. Care Med. 2021, 49, e910–e919. [Google Scholar] [CrossRef]
  50. Kim, S.J.; Thom, S.R.; Kim, H.; Hwang, S.O.; Lee, Y.; Park, E.J.; Lee, S.J.; Cha, Y.S. Effects of adjunctive therapeutic hypothermia combined with hyperbaric oxygen therapy in acute severe carbon monoxide poisoning. Crit. Care Med. 20210, 48, e706–e714. [Google Scholar] [CrossRef]
  51. Paul, R.H.; Cohen, R.A.; Moser, D.J.; Zawacki, T.; Ott, B.R.; Gordon, N.; Stone, W. The global deterioration scale: Relationships to neuropsychological performance and activities of daily living in patients with vascular dementia. J. Geriatr. Psychiatry Neurol. 2002, 15, 50–54. [Google Scholar] [CrossRef]
  52. Eisdorfer, C.; Cohen, D.; Paveza, G.J.; Ashford, J.W.; Luchins, D.J.; Gorelick, P.B.; Hirschman, R.S.; Freels, S.A.; Levy, P.S.; Semla, T.P.; et al. An empirical evaluation of the global deterioration scale for staging alzheimer’s disease. Am. J. Psychiatry 1992, 149, 190–194. [Google Scholar] [CrossRef]
  53. Ozge, C.; Ozge, A.; Unal, O. Cognitive and functional deterioration in patients with severe copd. Behav. Neurol. 2006, 17, 121–130. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Effects of hyperbaric oxygen treatment on the serum levels of several mitochondrial and oxidative stress biomarkers. Changes in serum levels of GDF15 (A), FGF21 (B), 8-OHdG (C), and MDA (D) at baseline, l day post and within 7 days of HBO2 therapy, in patients with CO poisoning were evaluated using a Friedman test followed by a Dunn’s multiple comparison correction. Symbols represent the individual values from the patient cohort while the bars represent the mean ± standard error of the mean for each group. Note that the y axis is described using the log scale in panels (AC).
Figure 1. Effects of hyperbaric oxygen treatment on the serum levels of several mitochondrial and oxidative stress biomarkers. Changes in serum levels of GDF15 (A), FGF21 (B), 8-OHdG (C), and MDA (D) at baseline, l day post and within 7 days of HBO2 therapy, in patients with CO poisoning were evaluated using a Friedman test followed by a Dunn’s multiple comparison correction. Symbols represent the individual values from the patient cohort while the bars represent the mean ± standard error of the mean for each group. Note that the y axis is described using the log scale in panels (AC).
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Figure 2. Serum level concentration of various mitochondrial and oxidative stress biomarkers in CO poisoning patients presenting with different neurocognitive outcomes. Data are presented as box and whisker Tukey plots with medians and interquartile ranges (+, mean; •, outliers). Comparisons of the biomarker levels between the favorable (GDS < 4) and poor (GDS ≥ 4) neurocognitive outcome groups were completed using a two-sided Mann–Whitney U test or * independent t-test, as appropriate. The change (Δ%) in each parameter was calculated as follows: (1 day post HBO2 therapy value − baseline value)/baseline value test) × 100.
Figure 2. Serum level concentration of various mitochondrial and oxidative stress biomarkers in CO poisoning patients presenting with different neurocognitive outcomes. Data are presented as box and whisker Tukey plots with medians and interquartile ranges (+, mean; •, outliers). Comparisons of the biomarker levels between the favorable (GDS < 4) and poor (GDS ≥ 4) neurocognitive outcome groups were completed using a two-sided Mann–Whitney U test or * independent t-test, as appropriate. The change (Δ%) in each parameter was calculated as follows: (1 day post HBO2 therapy value − baseline value)/baseline value test) × 100.
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Figure 3. Receiver operating characteristic curve analyses of the novel prognostic index for predicting neurocognitive outcomes following CO poisoning. The equation for predicting CO poisoning-induced neurocognitive sequelae can be explained as follows: CO prognosis index = 1/(1 + exp[−(−0.081 × Δ% of GDF15 − 0.169 × Δ% of MDA + 0.368 × CO exposure time (h) − 0.688 × GCS at the emergency department − 3.221)] × 100. AUROC, area under the receiver operating characteristic curve; CI, confidence intervals; MDA, malondialdehyde; GDF15, growth differentiation factor 15; CO, Carbon monoxide; GCS, Glasgow Coma Scale. Other equations derived from the stress biomarkers alone (New biomarkers alone) and clinical information with or without (Clinical information) laboratory data (Clinico-lab data) were compared to our novel CO prognosis index and the optimal cut-off value (▼) for this new index was defined using the Youden index value. All p values were obtained using a DeLong’s test.
Figure 3. Receiver operating characteristic curve analyses of the novel prognostic index for predicting neurocognitive outcomes following CO poisoning. The equation for predicting CO poisoning-induced neurocognitive sequelae can be explained as follows: CO prognosis index = 1/(1 + exp[−(−0.081 × Δ% of GDF15 − 0.169 × Δ% of MDA + 0.368 × CO exposure time (h) − 0.688 × GCS at the emergency department − 3.221)] × 100. AUROC, area under the receiver operating characteristic curve; CI, confidence intervals; MDA, malondialdehyde; GDF15, growth differentiation factor 15; CO, Carbon monoxide; GCS, Glasgow Coma Scale. Other equations derived from the stress biomarkers alone (New biomarkers alone) and clinical information with or without (Clinical information) laboratory data (Clinico-lab data) were compared to our novel CO prognosis index and the optimal cut-off value (▼) for this new index was defined using the Youden index value. All p values were obtained using a DeLong’s test.
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Table 1. Demographic and baseline characteristics of the patient cohort.
Table 1. Demographic and baseline characteristics of the patient cohort.
TotalFavorable OutcomePoor Outcomep-Value
N51 (100)38 (74.5)13 (25.5)
Age (years)47 (32, 60)41 (24, 49)60 (52, 71)<0.001
Sex (male)41 (80.3)30 (78.9)11 (84.6)0.999
Intention of self-harm25 (49)21 (55.3)4 (30.8)0.199
Source of CO
No fire48 (94.1)35 (92.1)13 (100)0.561
Fire3 (5.9)3 (7.9)0 (0)
Maximal CO exposure time (h)3.5 (1.48, 8)2.71 (1, 5)8 (4.92, 12)0.002
Time from rescue to ED (h)3.07 (1.52, 4.85)2.98 (1.73, 4.6)3.35 (1.48, 8.3)0.482
GCS at the ED12 (8, 15)12 (8, 15)8 (8, 12)0.006
Current smoker22 (43.1)19 (50)3 (23.1)0.114
Current drinker *22 (43.1)17 (44.7)5 (38.5)0.693
Comorbidities
Diabetes mellitus7 (13.7)4 (10.5)3 (23.1)0.352
Hypertension8 (15.7)4 (10.5)4 (30.8)0.179
Dyslipidaemia7 (13.7)5 (13.2)2 (15.4)0.999
Lung diseases1 (2)1 (2.6)0 (0)0.999
Cardiovascular diseases3 (5.9)3 (7.9)0 (0)0.561
Liver diseases1 (2)1 (2.6)0 (0)0.999
Psychiatric diseases7 (13.7)7 (18.4)0 (0)0.169
Symptoms and signs at the ED
Loss of consciousness43 (84.3)30 (78.9)13 (100)0.096
Shock4 (7.8)1 (2.6)3 (23.1)0.046
Seizure1 (2)1 (2.6)0 (0)0.999
Time elapsed from rescue to HBO2 therapy (h)4.97 (3.37, 9.08)4.63 (3.3, 7.09)6.58 (4.17, 16.1)0.098
Biochemical markers
CO-Hb (%) #24.1 ± 15.223.1 ± 15.827.2 ± 13.50.294
Bicarbonate (mmol/L) #22 ± 4.123 ± 318.8 ± 5.20.005
Lactate (mmol/L)2.3 (1.4, 3.3)2.2 (1.2, 3.1)2.7 (2.1, 8.5)0.042
Creatine kinase (U/L)143 (103, 370)129 (95, 212)1379 (299, 7531)<0.001
Troponin I (pg/mL)38.8 (4.2, 541.5)12.1 (2.5, 229.6)541.5 (282, 2884)<0.001
Complications
Acute kidney injury4 (7.8)0 (0)4 (30.8)0.003
Rhabdomyolysis12 (23.5)2 (5.3)10 (76.9)<0.001
Myocardial injury25 (49.0)13 (34.2)12 (92.3)<0.001
Pneumonia10 (19.6)2 (5.3)8 (61.5)<0.001
Data are presented as the median (interquartile range), mean ± standard deviation, or n (%). Categorical variables were compared using Fisher exact test or * chi-square test. Continuous variables were compared with the Mann–Whitney U test or # independent t-test. CO, carbon monoxide; ED, emergency department; GCS, Glasgow Coma Scale; HBO2, hyperbaric oxygen therapy; CO-Hb, carboxyhemoglobin.
Table 2. Summary of the biomarkers values from the patient cohort.
Table 2. Summary of the biomarkers values from the patient cohort.
TotalFavorable OutcomePoor Outcomep-Value
GDF15initial (ng/mL)0.92 (0.4, 2.72)0.65 (0.33, 1.25)2.72 (1.65, 4.07)<0.001
FGF21initial (ng/mL)0.8 (0.44, 1.85)0.71 (0.4, 1.87)1.01 (0.56, 3.63)0.374
8OHdGinitial (pg/mL)22.1 (12.9, 38.3)20.3 (12.0, 33.0)38.3 (20.1, 65.5)0.026
MDAinitial (nmol/mL)1.94 (0.9, 2.61)1.95 (0.89, 2.58)1.52 (0.97, 2.66)0.721
GDF151d-HBO2 (ng/mL)0.66 (0.37, 1.13)0.47 (0.33, 0.83)1.13 (0.89, 1.37)<0.001
FGF211d-HBO2 (ng/mL)0.31 (0.17, 0.54)0.32 (0.19, 0.62)0.22 (0.14, 0.41)0.260
8-OHdG1d-HBO2 (pg/mL)17.3 (11.7, 25.5)17.5 (12.2, 26.0)13.8 (8.7, 26.7)0.425
MDA1d-HBO2 (nmol/mL)1.56 (0.76, 2.36)1.75 (0.82, 2.56)1.33 (0.68, 1.84)0.154
Δ% of GDF15−33.4 (−55.9, −11.7)−26.2 (−46.1, −1.4)−47.6 (−76.3, −30.7)0.005
Δ% of FGF21−63.0 (−84.9, −10.0)−47.8 (−82.4, −6.7)−82.1 (−88.9, −37.2)0.061
Δ% of 8-OHdG #−25.0 ± 33.6−14.4 ± 31.0−56.1 ± 18.0<0.001
Δ% of MDA−9.2 (−23.2, 5.3)−5.3 (−16.6, 9.0)−26.9 (−43.3, −17.3)<0.001
Data are presented as the median (interquartile range) or mean ± standard deviation. p-values were obtained using the Mann–Whitney U test or # independent t-test, as appropriate. Initial, serum biomarkers were measured at the time of arrival at the Emergency Department (0 h); 1d-HBO2, serum biomarkers were evaluated 24 h post HBO2 therapy; GDF15, growth differentiation factor 15; FGF21, fibroblast growth factor 21; 8-OHdG, 8-Oxo-2′-deoxyguanosine; MDA, malondialdehyde. The change (Δ%) in each parameter was calculated as follows: (1 day post HBO2 therapy value − initial value)/initial value test) × 100.
Table 3. Logistic regression analyses for predicting the neurocognitive outcome of post-CO poisoning.
Table 3. Logistic regression analyses for predicting the neurocognitive outcome of post-CO poisoning.
VariablesUnivariate AnalysesMultivariate Analyses (Adjusted OR)
Unadjusted ORCO Prognosis IndexNew Biomarkers AloneClinical InformationClinico-Lab Data
Age (years)1.07 (1.02–1.12)N/A
GCS at the ED0.76 (0.61–0.94)0.50 (0.27–0.94)N/A0.76 (0.60–0.97)0.74 (0.56–0.99)
CO exposure time (h)1.22 (1.06–1.41)1.45 (1.01–2.06)N/A1.21 (1.05–1.40)1.19 (1.01–1.40)
Time elapsed from rescue to HBO2 (h)1.15 (1.02–1.29)N/A
Bicarbonate (mmol/L)0.76 (0.63–0.93)N/AN/A
Lactate (mmol/L)1.38 (1.04–1.83)N/AN/A
Creatine kinase (mU/L)2.22 (0.99–4.97)N/AN/A2.54 (1.07–6.05)
Troponin I (µg/mL)2.06 (1.03–4.12)N/AN/A
GDF15baseline (ng/mL)1.47 (1.07–2.01)N/AN/A
8OHdGbaseline (pg/mL)1.04 (1.01–1.08)N/AN/A
GDF151d-HBO2 (ng/mL)6.17 (1.59–23.9)N/AN/A
MDA1d-HBO2 (nmol/mL)0.55 (0.25–1.22)N/AN/A
Δ% of GDF150.97 (0.94–0.99)0.92 (0.85–1.00)0.96 (0.92–0.99)N/AN/A
Δ% of 8OHdG0.94 (0.90–0.98)N/AN/A
Δ% of MDA0.93 (0.89–0.98)0.84 (0.74–0.96)0.92(0.88–0.97)N/AN/A
Values are expressed as odds ratio (OR), with the 95% confidence interval in parentheses. GCS, Glasgow Coma Scale; ED, emergency department; CO, carbon monoxide; HBO2, hyperbaric oxygen therapy; GDF15, growth differentiation factor 15; FGF21, fibroblast growth factor 21; 8-OHdG, 8-Oxo-2′-deoxyguanosine; MDA, malondialdehyde; N/A, not applicable.
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Cha, Y.S.; Chang, J.S.; Kim, H.; Park, K.-S. Application of Mitochondrial and Oxidative Stress Biomarkers in the Evaluation of Neurocognitive Prognosis Following Acute Carbon Monoxide Poisoning. Metabolites 2022, 12, 201. https://doi.org/10.3390/metabo12030201

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Cha YS, Chang JS, Kim H, Park K-S. Application of Mitochondrial and Oxidative Stress Biomarkers in the Evaluation of Neurocognitive Prognosis Following Acute Carbon Monoxide Poisoning. Metabolites. 2022; 12(3):201. https://doi.org/10.3390/metabo12030201

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Cha, Yong Sung, Jae Seung Chang, Hyun Kim, and Kyu-Sang Park. 2022. "Application of Mitochondrial and Oxidative Stress Biomarkers in the Evaluation of Neurocognitive Prognosis Following Acute Carbon Monoxide Poisoning" Metabolites 12, no. 3: 201. https://doi.org/10.3390/metabo12030201

APA Style

Cha, Y. S., Chang, J. S., Kim, H., & Park, K. -S. (2022). Application of Mitochondrial and Oxidative Stress Biomarkers in the Evaluation of Neurocognitive Prognosis Following Acute Carbon Monoxide Poisoning. Metabolites, 12(3), 201. https://doi.org/10.3390/metabo12030201

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