Abstract
Background
Sepsis is characterized by organ dysfunction due to infection, with increasing evidence of mitochondrial dysfunction assessed preclinically and invasively. Protoporphyrin IX-triplet state lifetime technique (PpIX-TSLT) permits non-invasive determination of cellular oxygen metabolism and may provide deeper pathophysiological insights.
Methods
This analysis is part of a prospective monocentric cohort study. ICU patients with sepsis and septic shock and healthy controls were enrolled between May 2018 and June 2022. Mitochondrial oxygen tension (mitoPO2), consumption (mitoVO2) and delivery (mitoDO2) were assessed in the skin of healthy controls and patients with sepsis in the acute phase (3 ± 1 days after onset) and long-term course of disease (6 ± 2 months after onset) using PpIX-TSLT (CE-certified Cellular Oxygen METabolism system). Primary endpoints were differences in mitoPO2, mitoVO2, and mitoDO2 between patients in the acute phase of sepsis and controls. We tested group differences with t-tests and report Cohen’s d (d) as effect size.
Results
In the acute phase, mitochondrial oxygen tension (mitoPO2) was significantly reduced (n = 133, mean ± standard deviation: 58.4 ± 19.2 mmHg) compared to controls (n = 79, 67.3 ± 17.7 mmHg, p = 0.002, d = − 0.48). We found no significant differences in oxygen tension in the long-term course (n = 43) or in oxygen consumption and delivery between acute and long-term course of sepsis and controls. In the acute phase, lower mitochondrial oxygen delivery was associated with higher Sequential Organ Failure Assessment score (Spearman’s ρ = − 0.23, p = 0.009) and higher lactate concentrations (ρ = − 0.21, p = 0.021) and, thus, correlated with disease severity.
Conclusions
Our results suggest that cellular oxygen metabolism in sepsis is characterized by a reversible restriction of oxygen tension without an impairment of mitochondrial oxygen consumption. Additionally, oxygen delivery is dependent on disease severity. These findings should be re-validated in a larger cohort.
Trial registration
NCT03620409 (Ethics vote: 5276-09/17; German Register of Clinical Studies: DRKS00013347), Principal investigator: Sina M. Coldewey, Date of Registration: 11-30-2017 NCT03620409
Supplementary Information
The online version contains supplementary material available at 10.1186/s40635-025-00808-x.
Keywords: Cellular oxygen metabolism monitor, Mitochondrial oxygen tension, Mitochondrial oxygen consumption, Mitochondrial oxygen delivery, Protoporphyrin IX-triplet state lifetime technique (PpIX-TSLT)
Background
Sepsis is characterized by life-threatening organ dysfunction due to a dysregulated host response to infection [1]. Targeted molecular therapies and parameters for early prognostication are still lacking, although pathophysiological understanding has improved preclinically [2]. Changes in blood lactate concentration [3] and microcirculatory blood flow [4–6] have been described as prognostic markers of sepsis. However, these markers cannot distinguish between tissue hypoxia and disturbed oxygen utilization (dysoxia). There is increasing evidence of mitochondrial dysfunction in sepsis using invasive or ex vivo techniques [7–10].
Measuring mitochondrial function non-invasively and directly at the bedside remains challenging, but has the advantage of allowing repeated measurements and eliminating potential confounding factors of invasiveness [11]. Based on Protoporphyrin IX-Triplet State Lifetime Technique (PpIX-TSLT), Mik and colleagues developed a measurement system to assess cellular oxygen metabolism in the epidermis, non-invasively and in vivo [12–15].
The measurement of mitochondrial oxygen tension (mitoPO2) in the skin using this technique has been validated in both preclinical studies and in healthy subjects [16, 17]. Growing evidence suggests that the skin, like the intestines [18, 19], can serve as a sentinel organ for disturbances in systemic oxygen metabolism in certain conditions [12, 20–23]. A haemodilution experiment in pigs, conducted by Römers and colleagues, did show a decrease in mitoPO2 prior to alterations in venous saturation and blood lactate concentration [20]. Patients who experienced prolonged periods of low mitoPO2 intraoperatively were more likely to develop postoperative acute kidney injury [21, 22]; whereas, mean arterial pressure and peripheral oxygen saturation showed no association with the development of acute kidney injury [22]. Werfers Bettink and colleagues administered lipopolysaccharide (LPS) to healthy volunteers to induce systemic inflammation. They observed a significant decrease in mitoPO2, reaching its nadir after 1.45 h. In contrast, the highest heart rate and lowest mean arterial pressure were recorded 4 h after LPS administration [23]. These studies underscore the potential of non-invasively measured mitoPO2 as an early and sensitive indicator that may offer valuable insights into the perfusion status of internal organs. The feasibility of PpIX-TSLT using the Cellular Oxygen METabolism (COMET) system in the acute phase of sepsis has been demonstrated by a pilot study [24]. To the best of our knowledge, the cellular oxygen metabolism has not yet been investigated in the long-term course of sepsis.
The primary aim of this study was to non-invasively characterize cellular oxygen metabolism in patients with sepsis and to investigate its alterations in the acute course of sepsis compared to controls. In addition, its prognostic relevance for mortality, changes over the course of the disease, and associations with demographic and clinical variables were investigated.
Methods
The analysis is part of the prospective, monocentric study ‘Identification of cardiovascular and molecular prognostic factors for the medium-term and long-term outcomes of sepsis’ (acronym: ICROS, [25]). Detailed information on the study design, sample size calculation and methodology are provided in the published study protocol [25] and Supplementary Methods (Supplementary Material). The study was approved by the Ethics Committee of the Friedrich Schiller University Jena on October 10, 2017 (5276-09/17) and is registered (ClinicalTrials.gov: NCT03620409 and German Register of Clinical Studies: DRKS00013347).
Patient sample
Patients with sepsis or septic shock according to the sepsis-3 definition in the intensive care units of the Jena University Hospital were enrolled in the ICROS-study between May 2018 and March 2021 [25]. The healthy controls were recruited in a target age range and sex proportion similar to that of patients with sepsis. Written informed consent was obtained from either the patients or their legal surrogates and all controls. The PpIX-TSLT measurements from 37 patients in the acute phase of sepsis are published as a feasibility study [24].
Study design
Briefly, PpIX-TSLT measurements were performed at 3 ± 1 days (T1, acute phase) and during a follow-up at 6 ± 2 months (T4, long-term course) after sepsis onset. Baseline data (e.g. demographics) were collected at study enrolment. Clinical variables and laboratory samples were collected at all time-points. Patients were contacted by telephone to arrange follow-up visits, or telephone interviews were conducted if patients were unable to attend the hospital (e.g. due to poor health or COVID-19 restrictions). In controls, laboratory sampling and PpIX-TSLT measurement were performed once at study enrolment.
Assessment of cellular oxygen metabolism
All measurements were performed with the CE-certified Cellular Oxygen METabolism (COMET) system (Photonics Healthcare, Utrecht, Netherlands, [12]). Based on the PpIX-TSLT, it enables the non-invasive assessment of the mitochondrial oxygen tension (mitoPO2, mmHg) in the epidermis as described previously [12–15]. A transdermal laser pulse is used to excite PpIX, a precursor of haem in mitochondria, resulting in delayed fluorescence [13]. MitoPO2 is determined from fluorescence lifetime, which is inversely proportional to oxygen tension [14].
To enrich PpIX, a 4-cm2 patch containing 5-aminolevulinic acid (ALA, Alacare®, 8 mg, photonamic, Wedel, Germany) was applied to shaved, cleaned and dried skin at least four hours before the scheduled measurement to ensure sufficient signal quality. According to the standardized measurement protocol, in the first 30 s, mitoPO2 was measured by applying the sensor to the skin. Subsequently, mitochondrial oxygen consumption (mitoVO2, mmHg/s) was measured by applying pressure to the sensor, which interrupts the microcirculation until the oxygen is depleted (approximately 45 s). After the release of pressure, blood inflow reoxygenates the tissue (capillary refill, approximately 30 s) and mitochondrial oxygen delivery (mitoDO2, mmHg/s) was determined. The measurement was taken in the clavipectoral triangle, a location that is less susceptible to temperature changes, movement and peripheral vasoconstriction. The proximity of bony structures allows for effective compression of the microcirculation, thereby ensuring a reliable measurement of mitoVO2 and mitoDO2, even in patients with obesity and severe overhydration. This procedure was repeated three times. Repeat measurement values were averaged before subsequent statistical analysis.
The data management, data preparation, and estimation of the PpIX-TSLT variables were performed using a self-developed script (Halley) in MATLAB (MATLAB, and Statistics Toolbox Release 2017a, The MathWorks, Inc., Natick, Massachusetts, United States). For details please see [15].
Study endpoints
The primary endpoints were differences in the PpIX-TSLT variables (mitoPO2, mitoVO2, and mitoDO2) between the acute phase of sepsis (T1) and controls.
Secondary endpoints comprised:
Differences in PpIX-TSLT variables between long-term course of sepsis (T4) and controls as well as longitudinal comparisons (T1 vs T4).
Prognostic value of PpIX-TSLT variables in the acute phase (T1) for mortality (28 day and 180 day mortality).
Associations of PpIX-TSLT (T1) with demographic (age, body mass index), clinical (heart rate, blood pressure, oxygen saturation), and laboratory variables (blood lactate concentration, bilirubin, haemoglobin), as well as severity (Sequential Organ Failure Assessment (SOFA) score, requirement of vasopressor therapy) and course of disease (length of stay in ICU and hospital, duration of vasopressor therapy).
Associations of PpIX-TSLT variables (T1) with variables of the measurement environment (temperature of body, skin, room, and measurement sensor; duration of ALA-application).
Statistical analysis
This study is exploratory in nature; thus, the results should primarily be regarded as hypothesis-generating. Depending on the distribution of the variables, descriptive statistics for continuous variables include means, standard deviations (SD), medians, and interquartile ranges (IQR). For dichotomous and categorical variables, we report absolute (n) and relative frequencies (%). Missing data were few and not imputed. The number of data points included in the specific analysis is indicated.
We applied independent samples t-tests to analyse group differences of the PpIX-TSLT variables (mitoPO2, mitoVO2, and mitoDO2) between patients at T1 and at T4 and controls (primary endpoints). P-values were adjusted with the Bonferroni–Holm correction.
Analyses of secondary outcomes were exploratory; p-values were not adjusted for multiple testing. Longitudinal changes in PpIX-TSLT variables (T1 vs T4) were analysed with paired t-tests. The prognostic value of mitoPO2, mitoVO2, and mitoDO2 at T1 for 28-day and 180-day mortality was analysed using independent samples t-tests (survivors vs non-survivors). To adjust for age, sex, comorbidities (Charlson comorbidity index), and disease severity (SOFA score), we additionally applied logistic regression. Mortality was modelled as dependent variable; mitoPO2, mitoVO2, and mitoDO2 were modelled separately as independent variables. We report adjusted odds ratios (OR) and 95% confidence intervals (95%-CI).
The associations of the PpIX-TSLT variables in the acute phase (T1) with continuous demographic, clinical and laboratory variables as well as continuous variables of disease severity, course of disease, and the measurement environment were analysed with Spearman’s rank correlation coefficients. Associations with dichotomous variables (grouping variables, e.g. sex) were analysed with independent samples t-tests.
Finally, independent samples t-tests were used to assess differences in PpIX-TSLT variables at T1 between patients with vasopressor therapy and those without.
The statistical analyses were performed using SPSS (Version 27.0. IBM, Armonk, NY: IBM Corp, USA), and R (Version 3.5.1. Vienna, Austria). We report two-sided p-values and consider p < 0.05 as significant. Where applicable, we report Cohen’s d as effect size (|d|= 0.2 small effect; |d|= 0.5 medium effect; |d|= 0.8 large effect, [26]).
Results
Sample characteristics
Figure 1 summarizes the enrolment, exclusion, and resulting analysis cohorts. The demographic and clinical characteristics of patients with a PpIX-TSLT measurement at T1 or T4 (n = 136) are summarized in Table 1. Patients and controls (n = 79) did not differ in age (median [IQR] 66 [56, 75] vs 65 [52, 72] years; p = 0.413) or sex (female 34.6% (47/136) vs 36.7% (29/79); Χ2 (1, N = 215) = 0.03, p = 0.865). The body mass index was significantly higher in patients (27.8 [23.7, 32.4] kg/m2) than in controls (25.5 [23, 27.2] kg/m2; p < 0.001). Primary site of infection was pneumonia (50%).
Fig. 1.
Overview of the enrolled patients and analysis cohorts. In addition, 81 controls were enrolled and 79 were included in the statistical analysis
Table 1.
Demographic, laboratory and clinical characteristics of the patients with at least one PpIX-TSLT measurement
| Variable | n = 136 patients |
|---|---|
| Age, years | 66 [56, 75] |
| Female sex | 47 (34.6%) |
| Body mass index, kg/m2 | 27.8 [23.7, 32.4] |
| Charlson comorbidity index, points | 2 [1, 4] |
| Site of infection | |
| Pneumonia/respiratory | 68 (50%) |
| Intra-abdominal/gastrointestinal | 48 (35.3%) |
| Urogenital | 19 (14%) |
| Bone/soft tissue | 14 (10.3%) |
| Othersa | 23 (16.9%) |
| Multiple foci | 33 (24.3%) |
| Type of referral | |
| Surgical emergency | 51 (37.5%) |
| Non-surgical emergency | 46 (33.8%) |
| Elective treatment | 39 (28.7%) |
| SOFA at study enrolment, points | 9 [7, 11] |
| Septic shock at sepsis onset, yes | 66 (48.5%) |
| Mortality | |
| 28 day mortality | 21 (15.4%) |
| 180 day mortality | 37/134 (27.6%), n = 2 censored |
| LOS in ICU, days | 9 [4, 22], n = 110 survivors |
| LOS in hospital, days | 30 [20, 49], n = 110 survivors |
| Duration of vasopressor therapy, days | 6 [3, 14], n = 106 survivors† |
| Laboratory variables | |
| CRP (max), mg/l | 200.8 [126.7, 275.8], n = 134 |
| Procalcitonin (max.), ng/ml | 2.6 [1, 12.3], n = 135 |
| Leukocytes (max.), Gpt/l | 13 [8.8, 18.1], n = 135 |
| Haemoglobin (min.), mmol/l | 5.2 [4.8, 5.9], n = 135 |
| Bilirubin (max.), μmol/l | 13 [6, 26], n = 132 |
| Lactate (max.), mmol/l | 1.4 [1.1, 1.9], n = 129 |
†Survivors with vasopressor therapy (in total 132/136 (97.1%) with vasopressor therapy)
aThoracic, surgical, intracerebral infections, and bacteraemia
Descriptive statistics include medians and interquartile ranges (IQR, continuous variables) and absolute (n) and relative frequencies (%, dichotomous and categorical variables). In case of missing data, the number of data points included in the specific analysis is indicated. SOFA, Sequential Organ Failure Assessment Score; LOS, length of stay; ICU, intensive care unit
At T1 and T4 95.7% (133/139) and 100% (43/43) of the PpIX-TSLT measurements were usable. In controls, 98.8% (79/80) of the PpIX-TSLT measurements were analysable. We did not observe any side-effects of the measurement or the ALA patch.
Group differences of PpIX-TSLT variables in the acute and long-term course of sepsis
Compared to controls, mitoPO2 was significantly reduced in the acute phase of sepsis with small to medium effect size (mean ± SD; 58.4 ± 19.2 vs 67.3 ± 17.7 mmHg; p = 0.002; d = − 0.48; Fig. 2A; Supplementary Table 1). Longitudinal analysis revealed a significant increase of mitoPO2 between T1 and T4 (n = 40) with a small to medium effect size (57.1 ± 18.7 vs 68.8 ± 21.0 mmHg; p = 0.006; d = − 0.46; Fig. 2B; Supplementary Table 2). The individual trajectories of patients between T1 and T4 are visually illustrated in Supplementary Fig. 1. At T4, mitoPO2 did not differ between patients with sepsis (n = 43; 67.9 ± 20.7 mmHg; p = 0.994) and controls. A dropout analysis showed no differences in T1 PpIX-TSLT variables between patients with a measurement at T4 and those without (Supplementary Table 3). We found no significant differences between patients with sepsis and controls at T1 and T4 regarding mitoVO2 (Fig. 2C) and mitoDO2 (Fig. 2E). Correspondingly, we found no significant longitudinal changes between T1 and T4 (Fig. 2D and F).
Fig. 2.
PpIX-TSLT variables of patients with sepsis and controls. Measurements were taken 3 ± 1 days (T1) and 6 ± 2 months after the diagnosis of sepsis (T4) and in healthy controls once at study enrolment. Mean and standard deviation of mitochondrial oxygen tension (mitoPO2, A, B), consumption (mitoVO2, C, D), and delivery (mitoDO2, E, F) are shown. Group differences between patients at T1 and at T4 and controls (A, C, E) were analysed with two-sided t-test for independent samples. Longitudinal changes in PpIX-TSLT variables (B, D, F) were analysed with two-sided t-test for paired samples. Significant differences are presented as follows: *p < 0.05, **p < 0.01, and ***p < 0.001
Prognostic value of PpIX-TSLT variables for 28-day and 180-day mortality
Of patients with a PpIX-TSLT measurement at T1, 15.8% (21/133) died within 28 days and 28.2% (37/131, n = 2 censored) died within 180 days after sepsis onset.
MitoDO2 was significantly lower in patients who deceased compared to those who survived (28 day mortality: 3.7 ± 1.9 vs 5 ± 2.7 mmHg/s; p = 0.011, d = − 0.50; 180 day mortality: 3.9 ± 2.1 vs 5.1 ± 2.8 mmHg/s; p = 0.010; d = − 0.46). MitoPO2 and mitoVO2 did not differ according to 28 day and 180-day mortality status (Supplementary Table 4). However, after adjusting for age, sex, comorbidities (Charlson comorbidity index), and disease severity (SOFA score), we found no association of PpIX-TSLT variables with 28 day and 180-day mortality (Supplementary Table 5).
PpIX-TSLT variables: associative analyses
We present the complete associative analyses in Supplementary Tables 6–9. Here we report the results with p values < 0.05.
At T1, lower mitoDO2 was correlated with higher SOFA scores (ρ = − 0.23, p = 0.009, n = 133) and higher blood lactate concentration (ρ = − 0.21, p = 0.021, n = 126). Patients receiving vasopressor therapy on the day of T1 (4.3 ± 2.6 mmHg/s, n = 90) had significantly lower mitoDO2 compared to those without, with a small to medium effect size (n = 43, 5.6 ± 2.6 mmHg/s; p = 0.009; d = − 0.50; Supplementary Table 7). A lower periphery oxygen saturation was associated with a lower mitoPO2 (ρ = 0.18, p = 0.044, n = 131). Higher age was associated with a lower mitoVO2 (ρ = − 0.19, p = 0.031, n = 133).
Female patients had higher mitoPO2 than males with small to medium effect sizes (63.8 ± 19.1 vs 55.5 ± 18.7 mmHg; p = 0.017; d = 0.45). MitoDO2 tended to higher values in female patients compared to males (5.3 ± 2.9 vs 4.4 ± 2.4 mmHg/s; p = 0.078; d = 0.34; Supplementary Table 8). Given the observed differences, we conducted a more detailed analysis of the group comparison between patients at T1 and T4 and controls (Supplementary Table 8). By stratifying the cohort by sex, we confirmed the robustness of the finding that mitoPO2 was significantly lower in patients at T1 than in controls, across both male (n = 86 vs n = 50; 55.5 ± 18.7 vs 63.6 ± 17.8 mmHg; p = 0.013; d = − 0.44) and female subgroups (n = 47 vs n = 29; 63.8 ± 19.1 vs 73.8 ± 15.9 mmHg; p = 0.017; d = − 0.55). Longitudinal analysis revealed a significant increase of mitoPO2 between T1 and T4 in male patients (n = 24; 53.4 ± 19.5 vs 69.3 ± 21.9 mmHg; p = 0.011; d = − 0.77), but not in females (n = 16; 62.6 ± 16.3 vs 68.1 ± 20.1 mmHg; p = 0.296).
Higher sensor temperature was correlated with lower mitoPO2 in patients at T1 (ρ = − 0.24, p = 0.005, n = 133) and in controls (ρ = − 0.23, p = 0.038, n = 79). Higher body temperature was associated with higher mitoDO2 in controls (ρ = 0.27, p = 0.024, n = 71) but not in patients at T1 (ρ = 0.06, p = 0.478).
None of the other variables under consideration (mentioned in secondary endpoints) showed significant associations.
Discussion
In this study, cellular oxygen metabolism was measured non-invasively in patients with sepsis in the acute and long-term course of the disease. During the acute phase of sepsis, mitoPO2 was significantly lower compared to controls, and it increased to the level of controls six months after onset. MitoDO2 was correlated with disease severity. For a classification of the PpIX-TSLT variables in the context of previous studies and discussion of the associations to parameters of the measurement environment, see Supplementary Discussion (Supplementary Material).
PpIX-TSLT variables in the acute and long-term course of sepsis
Although there is increasing evidence for mitochondrial dysfunction in sepsis [7, 8, 10], it has not yet been clearly established whether primary mitochondrial dysfunction causes life-threatening organ dysfunction or whether limited tissue oxygenation leads to impaired mitochondrial function.
Mitochondrial oxygen tension (mitoPO2)
In the acute phase of sepsis, mitoPO2 was significantly decreased compared to healthy controls. Interestingly, mitoPO2 was equivalent to the controls, six months after sepsis onset. Lower muscle oxygen saturation index in patients with sepsis was demonstrated non-invasively using near-infrared spectroscopy compared to healthy [27]. The COMET system was used in an endotoxin model in both rats and healthy volunteers and showed a reduced mitoPO2 compared to controls [11, 23, 28]. The results of this study are in line with preliminary, preclinical work but require confirmation in larger multicentre studies.
Mitochondrial oxygen delivery (mitoDO2)
Tissue oxygenation and mitoDO2 are particularly dependent on adequate microcirculation. Reduced mitoDO2 was therefore considered to indicate impaired microcirculation [15]. The mitoDO2 of patients with sepsis did not differ from that of controls. MitoDO2 levels were significantly lower in patients who deceased within both the 28 day and 180-day periods after sepsis onset compared to those who survived. However, after adjusting for confounding variables including age, sex, comorbidities, and disease severity, this association was no longer statistically significant. This suggests that the initial observed association might be influenced by these confounding factors and indicates the need for further investigation into the role of mitoDO2 as a potential biomarker for patient outcomes. Reduced mitoDO2 was associated with disease severity. Supporting these results, microvascular changes in sepsis and their association with disease severity have been demonstrated non-invasively [4–6]. Furthermore, a correlation of altered macroscopic capillary refill time and mottling score with blood lactate concentration [29] and with SOFA score [30] has been described. Irrespective of sepsis, clinical studies have shown correlations between catecholamine therapy and reduced microcirculatory blood flow [31]. Thus, reduced mitoDO2 in patients receiving vasopressor therapy including catecholamines may be due to the vasoconstrictive effect of these drugs in addition to disease severity. However, we could show that impaired oxygen delivery at the mitochondrial level—not just changes in microcirculation—is associated with severity of sepsis.
Mitochondrial oxygen consumption (mitoVO2)
This study could not demonstrate a change in mitoVO2 in sepsis. The literature on this topic is heterogeneous [7–9, 32–36]. Using the COMET system, a decreased mitoVO2 was found in a rat sepsis model [28, 37]. Werfers Bettink and colleagues administered lipopolysaccharide to healthy volunteers to induce systemic inflammation and did not observe any changes in mitoVO2 [23]. Previous studies suggest changes in mitochondrial function in the sense of a threshold [20, 38]. In a rat sepsis model, time-dependent changes of hepatic mitochondrial respiration with normalization after 96 h have been shown [39]. The first measurement in patients was performed 3 ± 1 days after sepsis onset. Possible short-term, spontaneously reversible changes may not have been detected. Furthermore, there was heterogeneity in the cohort with regard to disease severity at T1, which is unavoidable due to the study design and its defined measurement time points. In future studies, it would be beneficial to compare measurements of mitoVO2 with ex vivo measurements of mitochondrial functions, such as high-resolution respirometry [40], in order to further investigate the mitochondrial function in sepsis.
The reduced level of mitochondrial oxygen (mitoPO2) in the acute phase of sepsis and the association of lower mitochondrial oxygen delivery (mitoDO2) with disease severity tend to indicate a restriction of oxygen supply without an impairment of mitochondrial oxygen consumption (mitoVO2) in the acute phase of sepsis.
Strengths and limitations
The strict inclusion and exclusion criteria of the ICROS clinical study (e.g. excluding patients with severe pre-existing heart, kidney or liver disease, [25]) resulted in a specific cohort of patients with sepsis. The study was monocentric, and the cohort of those having PpIX-TSLT measurement at T1 and T4 was relatively small (n = 40 patients).
Important technical limitations include the limited diffusibility of ALA in the skin [5, 41] and the limited penetration of the sensor laser, which allows only the outer epidermis to be examined [12]. The skin may not fully reflect the status of central organ systems, and the influence of increased microcirculatory heterogeneity in the context of sepsis needs to be considered. To mitigate the impact of peripheral vasoconstriction and temperature fluctuations, the measurement was taken in the clavipectoral triangle. This study did not include a clinical assessment of cutaneous microcirculation parameters, such as Capillary Refill Time and Mottling score. Future research should combine PpIX-TSLT measurements with these assessments to better understand the effects of impaired microcirculation on cellular oxygen metabolism during sepsis. The values obtained for mitoPO2 using the PpIX-TSLT are higher than those reported in early studies, which ranged from less than 1 mmHg to 10 mmHg. It has been demonstrated that the cellular oxygen tension is more closely aligned with vascular oxygen levels [42, 43] and tissue oxygen tension [44]. The values of mitoPO₂ obtained through the COMET system are within the range of previously reported transcutaneous PO₂ values [45]. The cellular and tissue oxygen tension is understood to represent the regional equilibrium between oxygen consumption and supply [44]. The calculation of oxygen consumption (mitoVO2) and delivery (mitoDO2) is based on desaturation and resaturation measurements, respectively. It is estimated that over 90% of oxygen is metabolized within the mitochondria; however, extramitochondrial oxygen consumption may be a confounding factor. Antibiotic therapy is a fundamental component of sepsis treatment and was provided to all patients in this study, potentially affecting mitochondrial function due to the structural similarity between mitochondria and bacteria [46].
Despite the standardized measurement and analysis protocol, the PpIX-TSLT variables showed a high inter-individual variance as seen in previous studies of healthy subjects [15, 24, 38]. Furthermore, PpIX-TSLT variables were associated with the temperature of the COMET sensor and the exposure time of ALA prior to the measurement. In future studies, it is of particular importance to standardize the measurement protocol across study groups and to generate age- and sex-specific normative values. Prior to the implementation of the COMET system in individualized diagnostics, it is essential to further analyse potential covariates and technical aspects of the COMET system to reduce the inter- and intra-individual variability of measured values.
For secondary endpoints, p-values were not adjusted for multiple testing. The analysis of the data was exploratory. Therefore, our results need to be confirmed in larger studies.
Conclusion
Non-invasive in vivo assessment of cellular oxygen metabolism in patients with sepsis revealed a reversible restriction of mitochondrial oxygen tension (mitoPO2) in the acute phase of sepsis. These results suggest that cellular oxygen metabolism in sepsis is characterized by a restriction of oxygen supply (hypoxia) without an impairment of mitochondrial oxygen utilization (mitoVO2). It therefore seems beneficial to pursue further development of the COMET system in order to facilitate the use of PpIX-TSLT in the individual assessment of patients with sepsis.
Prior presentations
Parts of these findings were presented at the annual congress of the German Society for Anaesthesiology and Intensive Care Medicine (DGAI) in September 2024.
Supplementary Information
Acknowledgements
The authors would like to express their gratitude to all contributing physicians, nurses and students of the Translational Septomics Research Group and the Department of Anaesthesiology and Intensive Care Medicine of the University Hospital Jena (Jena, Germany) for their support.
Abbreviations
- 95%-CI
95% confidence interval
- ALA
5-aminolevulinic acid
- COMET
Cellular oxygen METabolism
- ICU
Intensive care unit
- IQR
Interquartile range
- mitoPO2
Mitochondrial oxygen consumption
- mitoDO2
Mitochondrial oxygen delivery
- mitoPO2
Mitochondrial oxygen tension
- OR
Odds ratio
- PpIX
Protoporphyrin IX
- PpIX-TSLT
Protoporphyrin IX-triplet state lifetime technique
- SD
Standard deviation
- SOFA score
Sequential organ failure assessment score
Time points
- T0
Study enrolment
- T1
3 ± 1 days after sepsis onset
- T4
6 ± 2 months after sepsis onset
Author contributions
Conception and design of the study: SMC. Funding acquisition: SMC. Supervision: SMC, CN, PB. Data collection: AS, CN, PB, AKP, KS, JG, SMC. Statistical analysis: AS. Writing the original draft: AS, SMC. Review and editing of the manuscript: AS, CN, PB, AKP, KS, JG, SMC. Final approval of the version to be submitted: AS, CN, PB, AKP, KS, JG, SMC.
Funding
Open Access funding enabled and organized by Projekt DEAL. The research leading to these results has received funding from the Federal Ministry of Education and Research (BMBF, Septomics Research Centre, Research Group Translational Septomics, award no. 03Z22JN12 to SMC and BMBF, ICROVID, award no. 03COV07 to SMC). The funding source had no involvement in study design, the collection, analysis and interpretation of data, in the writing of the report, or in the decision to submit the article for publication.
Data availability
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics approval and consent to participate
The analysis is part of the prospective, monocentric study ‘Identification of cardiovascular and molecular prognostic factors for the medium-term and long-term outcomes of sepsis’ (acronym: ICROS; [25]). The study was approved by the Ethics Committee of the Friedrich Schiller University Jena on October 10, 2017 (5276-09/17) and is registered (ClinicalTrials.gov: NCT03620409 and German Register of Clinical Studies: DRKS00013347). Written informed consent was obtained from either the patients or their legal surrogates and all controls.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, Bellomo R, Bernard GR, Chiche JD, Coopersmith CM, Hotchkiss RS, Levy MM, Marshall JC, Martin GS, Opal SM, Rubenfeld GD, van der Poll T, Vincent JL, Angus DC (2016) The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 315:801–810. 10.1001/jama.2016.0287 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.van der Poll T, van de Veerdonk FL, Scicluna BP, Netea MG (2017) The immunopathology of sepsis and potential therapeutic targets. Nat Rev Immunol 17:407–420. 10.1038/nri.2017.36 [DOI] [PubMed] [Google Scholar]
- 3.Jansen TC, van Bommel J, Schoonderbeek FJ, Sleeswijk Visser SJ, van der Klooster JM, Lima AP, Willemsen SP, Bakker J (2010) Early lactate-guided therapy in intensive care unit patients: a multicenter, open-label, randomized controlled trial. Am J Respir Crit Care Med 182:752–761. 10.1164/rccm.200912-1918OC [DOI] [PubMed] [Google Scholar]
- 4.Sakr Y, Dubois MJ, De Backer D, Creteur J, Vincent JL (2004) Persistent microcirculatory alterations are associated with organ failure and death in patients with septic shock. Crit Care Med 32:1825–1831. 10.1097/01.ccm.0000138558.16257.3f [DOI] [PubMed] [Google Scholar]
- 5.De Backer D, Donadello K, Sakr Y, Ospina-Tascon G, Salgado D, Scolletta S, Vincent JL (2013) Microcirculatory alterations in patients with severe sepsis: impact of time of assessment and relationship with outcome. Crit Care Med 41:791–799. 10.1097/CCM.0b013e3182742e8b [DOI] [PubMed] [Google Scholar]
- 6.Simkiene J, Pranskuniene Z, Vitkauskiene A, Pilvinis V, Boerma EC, Pranskunas A (2020) Ocular microvascular changes in patients with sepsis: a prospective observational study. Ann Intensive Care 10:38. 10.1186/s13613-020-00655-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Brealey D, Brand M, Hargreaves I, Heales S, Land J, Smolenski R, Davies NA, Cooper CE, Singer M (2002) Association between mitochondrial dysfunction and severity and outcome of septic shock. Lancet 360:219–223. 10.1016/s0140-6736(02)09459-x [DOI] [PubMed] [Google Scholar]
- 8.Brealey D, Karyampudi S, Jacques TS, Novelli M, Stidwill R, Taylor V, Smolenski RT, Singer M (2004) Mitochondrial dysfunction in a long-term rodent model of sepsis and organ failure. Am J Physiol Regul Integr Comp Physiol 286:R491-497. 10.1152/ajpregu.00432.2003 [DOI] [PubMed] [Google Scholar]
- 9.Regueira T, Djafarzadeh S, Brandt S, Gorrasi J, Borotto E, Porta F, Takala J, Bracht H, Shaw S, Lepper PM, Jakob SM (2012) Oxygen transport and mitochondrial function in porcine septic shock, cardiogenic shock, and hypoxaemia. Acta Anaesthesiol Scand 56:846–859. 10.1111/j.1399-6576.2012.02706.x [DOI] [PubMed] [Google Scholar]
- 10.Takasu O, Gaut JP, Watanabe E, To K, Fagley RE, Sato B, Jarman S, Efimov IR, Janks DL, Srivastava A, Bhayani SB, Drewry A, Swanson PE, Hotchkiss RS (2013) Mechanisms of cardiac and renal dysfunction in patients dying of sepsis. Am J Respir Crit Care Med 187:509–517. 10.1164/rccm.201211-1983OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wefers Bettink MA, Harms FA, Dollee N, Specht PAC, Raat NJH, Schoonderwoerd GC, Mik EG (2020) Non-invasive versus ex vivo measurement of mitochondrial function in an endotoxemia model in rat: toward monitoring of mitochondrial therapy. Mitochondrion 50:149–157. 10.1016/j.mito.2019.11.003 [DOI] [PubMed] [Google Scholar]
- 12.Ubbink R, Bettink MAW, Janse R, Harms FA, Johannes T, Münker FM, Mik EG (2017) A monitor for cellular oxygen METabolism (COMET): monitoring tissue oxygenation at the mitochondrial level. J Clin Monit Comput 31:1143–1150. 10.1007/s10877-016-9966-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mik EG, Stap J, Sinaasappel M, Beek JF, Aten JA, van Leeuwen TG, Ince C (2006) Mitochondrial PO2 measured by delayed fluorescence of endogenous protoporphyrin IX. Nat Methods 3:939–945. 10.1038/nmeth940 [DOI] [PubMed] [Google Scholar]
- 14.Harms FA, Voorbeijtel WJ, Bodmer SI, Raat NJ, Mik EG (2013) Cutaneous respirometry by dynamic measurement of mitochondrial oxygen tension for monitoring mitochondrial function in vivo. Mitochondrion 13:507–514. 10.1016/j.mito.2012.10.005 [DOI] [PubMed] [Google Scholar]
- 15.Baumbach P, Neu C, Derlien S, Bauer M, Nisser M, Buder A, Coldewey SM (2019) A pilot study of exercise-induced changes in mitochondrial oxygen metabolism measured by a cellular oxygen metabolism monitor (PICOMET). Biochim Biophys Acta Mol Basis Dis 1865:749–758. 10.1016/j.bbadis.2018.12.003 [DOI] [PubMed] [Google Scholar]
- 16.Harms FA, Bodmer SIA, Raat NJH, Stolker RJ, Mik EG (2012) Validation of the protoporphyrin IX-triplet state lifetime technique for mitochondrial oxygen measurements in the skin. Opt Lett 37:2625–2627. 10.1364/OL.37.002625 [DOI] [PubMed] [Google Scholar]
- 17.Ubbink R, Wefers Bettink MA, van Weteringen W, Mik EG (2021) Mitochondrial oxygen monitoring with COMET: verification of calibration in man and comparison with vascular occlusion tests in healthy volunteers. J Clin Monit Comput 35:1357–1366. 10.1007/s10877-020-00602-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Venkatesh B, Morgan TJ, Lipman J (2000) Subcutaneous oxygen tensions provide similar information to ileal luminal CO2 tensions in an animal model of haemorrhagic shock. Intensive Care Med 26:592–600. 10.1007/s001340051209 [DOI] [PubMed] [Google Scholar]
- 19.Mellstrom A, Månsson P, Jonsson K, Hartmann M (2009) Measurements of subcutaneous tissue PO2 reflect oxygen metabolism of the small intestinal mucosa during hemorrhage and resuscitation. An experimental study in pigs. Eur Surg Res 42:122–129. 10.1159/000193295 [DOI] [PubMed] [Google Scholar]
- 20.Römers LH, Bakker C, Dollée N, Hoeks SE, Lima A, Raat NJ, Johannes T, Stolker RJ, Mik EG (2016) Cutaneous mitochondrial PO2, but not tissue oxygen saturation, is an early indicator of the physiologic limit of hemodilution in the pig. Anesthesiology 125:124–132. 10.1097/aln.0000000000001156 [DOI] [PubMed] [Google Scholar]
- 21.Harms FA, Ubbink R, de Wijs CJ, Ligtenberg MP, Ter Horst M, Mik EG (2022) Mitochondrial oxygenation during cardiopulmonary bypass: a pilot study. Front Med Lausanne 9:785734. 10.3389/fmed.2022.785734 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.de Wijs CJ, Streng L, Stolker RJ, Ter Horst M, Hoorn EJ, Mahtab EAF, Mik EG, Harms FA (2025) Mitochondrial oxygenation monitoring and acute kidney injury risk in cardiac surgery: A prospective cohort study. J Clin Anesth 101:111715. 10.1016/j.jclinane.2024.111715 [DOI] [PubMed] [Google Scholar]
- 23.Wefers Bettink MA, Zwaag J, Schockaert B, Pickkers P, Kox M, Mik EG (2025) Measuring mitochondrial oxygenation and respiration during systemic inflammation in humans in vivo. Sci Rep 15:25815. 10.1038/s41598-025-10715-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Neu C, Baumbach P, Plooij AK, Skitek K, Gotze J, von Loeffelholz C, Schmidt-Winter C, Coldewey SM (2020) Non-invasive assessment of mitochondrial oxygen metabolism in the critically ill patient using the protoporphyrin IX-triplet state lifetime technique-a feasibility study. Front Immunol 11:757. 10.3389/fimmu.2020.00757 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Coldewey SM, Neu C, Baumbach P, Scherag A, Goebel B, Ludewig K, Bloos F, Bauer M (2020) Identification of cardiovascular and molecular prognostic factors for the medium-term and long-term outcomes of sepsis (ICROS): protocol for a prospective monocentric cohort study. BMJ Open 10:e036527. 10.1136/bmjopen-2019-036527 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. L. Erlbaum Associates, Hillsdale [Google Scholar]
- 27.Vorwerk C, Coats TJ (2012) The prognostic value of tissue oxygen saturation in emergency department patients with severe sepsis or septic shock. Emerg Med J 29:699–703. 10.1136/emermed-2011-200160 [DOI] [PubMed] [Google Scholar]
- 28.Harms FA, Bodmer SIA, Raat NJH, Mik EG (2015) Non-invasive monitoring of mitochondrial oxygenation and respiration in critical illness using a novel technique. Crit Care 19:343. 10.1186/s13054-015-1056-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Ait-Oufella H, Lemoinne S, Boelle PY, Galbois A, Baudel JL, Lemant J, Joffre J, Margetis D, Guidet B, Maury E, Offenstadt G (2011) Mottling score predicts survival in septic shock. Intensive Care Med 37:801–807. 10.1007/s00134-011-2163-y [DOI] [PubMed] [Google Scholar]
- 30.Huang W, Xiang H, Hu C, Wu T, Zhang D, Ma S, Hu B, Li J (2023) Association of sublingual microcirculation parameters and capillary refill time in the early phase of ICU admission. Crit Care Med 51:913–923. 10.1097/ccm.0000000000005851 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Krejci V, Hiltebrand LB, Sigurdsson GH (2006) Effects of epinephrine, norepinephrine, and phenylephrine on microcirculatory blood flow in the gastrointestinal tract in sepsis. Crit Care Med 34:1456–1463. 10.1097/01.Ccm.0000215834.48023.57 [DOI] [PubMed] [Google Scholar]
- 32.Kreymann G, Grosser S, Buggisch P, Gottschall C, Matthaei S, Greten H (1993) Oxygen consumption and resting metabolic rate in sepsis, sepsis syndrome, and septic shock. Crit Care Med 21:1012–1019. 10.1097/00003246-199307000-00015 [DOI] [PubMed] [Google Scholar]
- 33.Bauer J, Hentschel R, Linderkamp O (2002) Effect of sepsis syndrome on neonatal oxygen consumption and energy expenditure. Pediatrics 110:e69. 10.1542/peds.110.6.e69 [DOI] [PubMed] [Google Scholar]
- 34.Trumbeckaite S, Opalka JR, Neuhof C, Zierz S, Gellerich FN (2001) Different sensitivity of rabbit heart and skeletal muscle to endotoxin-induced impairment of mitochondrial function. Eur J Biochem 268:1422–1429. 10.1046/j.1432-1327.2001.02012.x [DOI] [PubMed] [Google Scholar]
- 35.Vanasco V, Magnani ND, Cimolai MC, Valdez LB, Evelson P, Boveris A, Alvarez S (2012) Endotoxemia impairs heart mitochondrial function by decreasing electron transfer, ATP synthesis and ATP content without affecting membrane potential. J Bioenerg Biomembr 44:243–252. 10.1007/s10863-012-9426-3 [DOI] [PubMed] [Google Scholar]
- 36.Protti A, Fortunato F, Artoni A, Lecchi A, Motta G, Mistraletti G, Novembrino C, Comi GP, Gattinoni L (2015) Platelet mitochondrial dysfunction in critically ill patients: comparison between sepsis and cardiogenic shock. Crit Care 19:39. 10.1186/s13054-015-0762-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Harms FA, Bodmer SIA, Raat NJH, Mik EG (2015) Cutaneous mitochondrial respirometry: non-invasive monitoring of mitochondrial function. J Clin Monit Comput 29:509–519. 10.1007/s10877-014-9628-9 [DOI] [PubMed] [Google Scholar]
- 38.Baumbach P, Schmidt-Winter C, Hoefer J, Derlien S, Best N, Herbsleb M, Coldewey SM (2020) A pilot study on the association of mitochondrial oxygen metabolism and gas exchange during cardiopulmonary exercise testing: is there a mitochondrial threshold? Front Med 7:585462–585462. 10.3389/fmed.2020.585462 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Herminghaus A, Papenbrock H, Eberhardt R, Vollmer C, Truse R, Schulz J, Bauer I, Weidinger A, Kozlov AV, Stiban J, Picker O (2019) Time-related changes in hepatic and colonic mitochondrial oxygen consumption after abdominal infection in rats. Intensive Care Med Exp 7:4. 10.1186/s40635-018-0219-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Djafarzadeh S, Jakob SM (2017) High-resolution respirometry to assess mitochondrial function in permeabilized and intact cells. J Vis Exp. 10.3791/54985 [DOI] [PMC free article] [PubMed]
- 41.de Bruijn HS, Meijers C, Sterenborg HJ, Robinson DJ (2008) Microscopic localisation of protoporphyrin IX in normal mouse skin after topical application of 5-aminolevulinic acid or methyl 5-aminolevulinate. J Photochem Photobiol B Biol 92:91–97. 10.1016/j.jphotobiol.2008.05.005 [DOI] [PubMed] [Google Scholar]
- 42.Bodmer SI, Balestra GM, Harms FA, Johannes T, Raat NJ, Stolker RJ, Mik EG (2012) Microvascular and mitochondrial PO(2) simultaneously measured by oxygen-dependent delayed luminescence. J Biophotonics 5:140–151. 10.1002/jbio.201100082 [DOI] [PubMed] [Google Scholar]
- 43.Balestra GM, Aalders MC, Specht PA, Ince C, Mik EG (2015) Oxygenation measurement by multi-wavelength oxygen-dependent phosphorescence and delayed fluorescence: catchment depth and application in intact heart. J Biophotonics 8:615–628. 10.1002/jbio.201400054 [DOI] [PubMed] [Google Scholar]
- 44.De Santis V, Singer M (2015) Tissue oxygen tension monitoring of organ perfusion: rationale, methodologies, and literature review. Br J Anaesth 115:357–365. 10.1093/bja/aev162 [DOI] [PubMed] [Google Scholar]
- 45.Keeley TP, Mann GE (2019) Defining physiological normoxia for improved translation of cell physiology to animal models and humans. Physiol Rev 99:161–234. 10.1152/physrev.00041.2017 [DOI] [PubMed] [Google Scholar]
- 46.D’Achille G, Morroni G (2023) Chapter Six—side effects of antibiotics and perturbations of mitochondria functions. In: Marchi S, Galluzzi L (eds) International review of cell and molecular biology. Academic Press, Cambridge, pp 121–139 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Citations
- Djafarzadeh S, Jakob SM (2017) High-resolution respirometry to assess mitochondrial function in permeabilized and intact cells. J Vis Exp. 10.3791/54985 [DOI] [PMC free article] [PubMed]
Supplementary Materials
Data Availability Statement
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


