REVIEW article

Front. Microbiol., 23 June 2023

Sec. Infectious Agents and Disease

Volume 14 - 2023 | https://doi.org/10.3389/fmicb.2023.1198200

Novel evidence on sepsis-inducing pathogens: from laboratory to bedside

  • 1. Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile

  • 2. Millennium Institute on Immunology and Immunotherapy, Santiago, Chile

  • 3. Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Millennium Institute on Immunology and Immunotherapy, Pontificia Universidad Católica de Chile, Santiago, Chile

  • 4. Departamento de Endocrinología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile

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Abstract

Sepsis is a life-threatening condition and a significant cause of preventable morbidity and mortality globally. Among the leading causative agents of sepsis are bacterial pathogens Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Pseudomonas aeruginosa, and Streptococcus pyogenes, along with fungal pathogens of the Candida species. Here, we focus on evidence from human studies but also include in vitro and in vivo cellular and molecular evidence, exploring how bacterial and fungal pathogens are associated with bloodstream infection and sepsis. This review presents a narrative update on pathogen epidemiology, virulence factors, host factors of susceptibility, mechanisms of immunomodulation, current therapies, antibiotic resistance, and opportunities for diagnosis, prognosis, and therapeutics, through the perspective of bloodstream infection and sepsis. A list of curated novel host and pathogen factors, diagnostic and prognostic markers, and potential therapeutical targets to tackle sepsis from the research laboratory is presented. Further, we discuss the complex nature of sepsis depending on the sepsis-inducing pathogen and host susceptibility, the more common strains associated with severe pathology and how these aspects may impact in the management of the clinical presentation of sepsis.

1. Introduction

Sepsis, a life-threatening organ dysfunction caused by a dysregulated host response to infection (Singer et al., 2016), is a significant cause of geriatric, maternal, neonatal, and child mortality. The World Health Organization (WHO) responded in 2017 with a resolution acknowledging sepsis as a major cause of preventable morbidity and mortality globally, while highlighting some of the most frequent pathogens connected etiologically to this condition, their primary site of infection, the increasing contribution of nosocomial infections, and their alarming resistance to antibiotics [World Health Organization (WHO), 2017]. Great strides toward an accurate quantification of its incidence and mortality (Rudd et al., 2020), and the pathogens accounting for its excess of mortality (GBD 2019 Antimicrobial Resistance Collaborators, 2022), have been made since that resolution. While epidemiological findings raise awareness and aid in the shaping of public health policies, molecular discoveries contribute to the identification of host factors of susceptibility and pathogen mechanisms of immune evasion, structuring the therapeutic tools of the future.

Bacterial pathogens lead cases of bloodstream infections (BSI; Gouel-Cheron et al., 2022) with Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Pseudomonas aeruginosa, and Streptococcus pyogenes, as the as the pathogens with the largest number of attributable deaths (Diekema et al., 2019; GBD 2019 Antimicrobial Resistance Collaborators, 2022). Among fungal pathogens, Candida species are the most frequent pathogens in the critical care setting, with strong nosocomial association (Delaloye and Calandra, 2014; Gouel-Cheron et al., 2022). Viral agents are less frequently regarded as the cause of sepsis and are often deemed as facilitators to infection by secondary agents (Lin et al., 2018). Nevertheless, Herpes simplex virus, Enterovirus, Influenza, Adenovirus, Dengue virus, and recently the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), are considered as viral causes of sepsis (Shane et al., 2017; Teparrukkul et al., 2017; Iuliano et al., 2018; Alhazzani et al., 2020).

Because only a fraction of the articles included in this work regarded the comprehensive clinical continuum that sepsis represents, a pragmatic approach translating results from invasive infection and progression into the bloodstream, either by extension or by analogy, was adopted. Thus, this review summarizes recent findings in terms of pathogen epidemiology, virulence factors, host factors of susceptibility, mechanisms of immunomodulation, current therapies, antibiotic resistance, and opportunities for diagnosis, prognosis, and therapeutics, focusing on evidence from human studies but also including cellular and molecular evidence from in vitro and in vivo studies, all through the looking glass of BSI and sepsis.

2. Escherichia coli

Escherichia coli is a Gram-negative bacillus with remarkable phylogenetic diversity. Although mostly recognized for its pathogenic role in diarrheal diseases, and less frequently to extraintestinal illness, E. coli is also a part of the commensal microbiome of the host. Commensal strains (originating typically from phylogroup A) rarely cause diseases in healthy hosts, as they lack specialized virulence traits. Intestinal-pathogenic E. coli comprise groups diarrheagenic, enteropathogenic, enterohemorrhagic, enterotoxigenic, enteroaggregative, enteroinvasive, and diffusely adherent (originating typically from phylogroups B1 and E; Kaper et al., 2004; Bachmann et al., 2015). Extraintestinal E. coli (ExPEC) comprise a growing group that includes uropathogenic E. coli (UPEC), sepsis-associated E. coli (SEPEC), and neonatal meningitis E. coli (NMEC), among others (Desvaux et al., 2020), originating typically from phylogroups B2 and occasionally from phylogroups D, F, or G (Escobar-Páramo et al., 2004; Clermont et al., 2019). In fact, a recent prospective observational cohort study on E. coli bacteremia found that phylogroups most frequently associated with fatal outcome after 28 days were, in order, B2 (46%), D (17%), and B1 (15%; de Lastours et al., 2020). The main source of E. coli bacteremia is urinary tract infection (representing more than 50% of the cases; Bonten et al., 2020), with advanced age (>65 years) representing the greatest risk factor for asymptomatic E. coli bacteremia of urinary source (OR = 1.8–2.95; Bai et al., 2020). Consistently, UPEC isolated from patients with pyelonephritis exhibit much higher serum resistance (82–93%) than fecal E. coli isolates (57%; Coggon et al., 2018; Table 1). Although widely considered as the leading pathogen for bacteremia (Shorr et al., 2006; Al-Hasan et al., 2012), the predominance of E. coli depends on the timeframe, geographical location, and age of the patients included in the analysis.

Table 1

OrganismMarker/factorReferences
Resistance factors
E. coliUPEC bacteremiaCoggon et al. (2018)
K. pneumoniaeSerotype O1, O2, or O3 bacteremiaChoi et al. (2020)
S. aureusPVL+ MRSA bacteremiaZhao et al. (2022)
P. aeruginosaResistance genes blaGES, aadB, gyrA (T83I), and parC (S87L)Recio et al. (2021)
S. pyogenesemm43.4/PBP2x-T553K or emm93.0 bacteremiaHayes et al. (2020) and Ron et al. (2022)
Novel diagnostic/prognostic markers
S. aureusMeasurement of genes COX7C, NDUFA4, ATP5J, NDUFB3, and COX7A2Wu H. et al. (2021)
Measurement of m6A-SNPsSun et al. (2020)
Measurement of caspase-1, IL-18, and NLRP3Rasmussen et al. (2019)
Measurement of C5a and IL-10Eichenberger et al. (2020)
Measurement of neutrophil/lymphocyte ratioGreenberg et al. (2018)
S. pyogenesMultidimensional scaling of leukocyte and platelet abundanceLoof et al. (2018)
Candida spp.Machine-learningRipoli et al. (2020)
Delta neutrophil indexPark et al. (2020)
Multivariate risk scorePoissy et al. (2020)
Composite SOFA/CCI scoreAsai et al. (2021)
Prior corticosteroid useKayaaslan et al. (2021)

Summary of novel diagnostic/prognostic markers and resistance factors of interest for sepsis detailed in this review.

ATP5J, ATP synthase-coupling factor 6; C5a, complement component 5a; COX7A2, cytochrome c oxidase subunit 7A2; COX7C, cytochrome c oxidase subunit 7C; IL-10, interleukin 10; IL-18, interleukin 18; m6A-SNPs, N6-methyladenosine associated single-nucleotide polymorphisms; MRSA, methicillin-resistant S. aureus; NDUFA4, cytochrome c oxidase subunit NDUFA4; NDUFB3, NADH dehydrogenase [ubiquinone] 1 beta subcomplex subunit 3; NLRP 3, NOD-like receptor family pyrin domain-containing 3; PVL, panton–valentine leukocidin; UPEC, uropathogenic E. coli; VEGF, vascular endothelial growth factor.

2.1. Epidemiology

The SENTRY program for global antimicrobial surveillance places E. coli as the number one pathogen causing BSI worldwide since 2005 (Diekema et al., 2019). However, this is not consistent in the United States, where S. aureus leads the ranking since 1997. In fact, a recent report on the epidemiology of hospital-acquired BSI in intensive care unit patients in Europe reveals that Klebsiella spp. lead the ranking of Gram-negative bacteremia, relegating E. coli to the second place (Tabah et al., 2023). Similarly, data from a prospective observational study conducted in Thailand, which included data from 3,806 patients, found that E. coli was the most frequent causative agent for BSI, and that age over 70 years carries an increased hazard ratio of 1.5 for 28-day mortality (Somayaji et al., 2021). A recent meta-analysis reported that the incidence of E. coli bacteremia is increasing over time in select high-income countries around the globe with pooled mortality rates ranging from 10.7 to 14.3% (Bonten et al., 2020). Also, data from the SENTRY program place E. coli as the leading pathogen causing BSI only in ages older than 64 years old, while for the rest of the age groups S. aureus leads the ranking, a fact that was ratified in a 10-year report on the epidemiology of bacteremia in a Portuguese pediatric population (Ferreira et al., 2023). Nevertheless, a recent cohort study representative of the United States, which analyzed 217,480 neonatal patients, found an overwhelming majority of E. coli-associated sepsis (Stoll et al., 2020). Remarkably, E. coli dominance in hospital onset bacteremia (Diekema et al., 2019) is significantly diluted during concomitant viral co-infection (Glass et al., 2022), especially in patients hospitalized for coronavirus disease 2019 (COVID-19; Garcia-Vidal et al., 2021).

2.2. Pathogen factors

Virulence factor diversity for E. coli isolated from blood comprises genes coding for proteins related to adherence (ecp, hcp, eaeH, fim, and pap), intracellular traffic (upaG, ehaB, and agn43), invasion (tia), iron uptake (sitA, chuA, fyuA, and iuccC), and toxins (hlyE/clyA, usp., and senB) allowing bacteria to reach and survive in the bloodstream (Kim et al., 2022). However, ExPEC makes use of additional virulence traits, members of the serine protease autotransporters of Enterobacteriaceae (SPATE) superfamily involved in evasion from host immune defense mechanisms (Abreu et al., 2015). A recent prospective observational cohort study analyzing blood isolates from 278 patients found SPATE coding genes in 61% of the isolates, with an overwhelming presence in phylogroup B2, with sat and vat as the most prevalent of them (Freire et al., 2020). SPATE gene sat is a class 1-SPATE recognized as a cytotoxic factor with proteolytic activity (Freire et al., 2022) and vat is a class 2-SPATE cytotoxic factor (Nichols et al., 2016; Díaz et al., 2020), and both displayed a significant presence in ExPEC isolates of phylogroups B2, D, E, and F (Freire et al., 2020). In vitro evidence on virulence factors reveals that E. coli adheres to endothelial cells by a direct and necessary interaction between bacterial cell membrane protein OmpA and endothelial integrin αVβ3 which, in turn, activates endothelial cells via calcium-dependent intracellular cascades that ultimately lead to a downregulation of VE-Cadherin (Tapia et al., 2019), increased vascular permeability (Gatica et al., 2020), and endothelial apoptosis (McHale et al., 2018). Interestingly, all these readouts displayed not different to uninfected controls when using OmpA-deficient mutant strains, strongly underlining the role of OmpA in the genesis of sepsis at the cellular level. A summary of the factors detailed in this section is listed in Table 2.

Table 2

OrganismActivityPathogen factorReferences
E. coliSurvivalissFröding et al. (2020)
Adhesioniha17, ecp, hcp, eaeH, fim, and papde Lastours et al. (2020) and Kim et al. (2022)
Intracellular trafficupaG, ehaB, and agn43
Invasiontia
Iron metabolismsitA, chuA, fyuA, and iuccC
ToxinshlyE/clyA, usp, and senB
CytotoxicitySPATE coding genes sat and vatFreire et al. (2020)
Cell infectionompAMcHale et al. (2018)
K. pneumoniaeInvasionrmpA/2Cienfuegos-Gallet et al. (2022), Kochan et al. (2022), and Liao et al. (2022)
Iron metabolismybt, iucA, and iroB
Cytotoxicityclb
Metabolismpeg-344
S. aureusSurvivalcapARecker et al. (2017)
CytotoxicityPVL, TSST-1, and hlyAhmad et al. (2020), Monecke et al. (2020), and Sun et al. (2021)
P. aeruginosaSurvivalmifRXiong et al. (2022)
InvasionhepPDzvova et al. (2018)
Iron metabolismHxu, Has, and Phu systemsOtero-Asman et al. (2019) and Yang F. et al. (2022)
CytotoxicityexoSRecio et al. (2021)
S. pyogenesInvasionemm, speG, speH, speJ, and speKImöhl et al. (2017) and Sánchez-Encinales et al. (2019)
Metabolismspy1476, spy1343Sitkiewicz and Musser (2017) and Kant and Pancholi (2021)

Summary of novel pathogen factors of interest for sepsis detailed in this review.

PVL, panton–valentine leukocidin; SPATE, serine protease autotransporters of Enterobacteriaceae; and TSST-1, toxic shock syndrome toxin-1.

2.3. Host factors

Clinical manifestations of E. coli bacteremia include fever, disorientation, hypotension, and respiratory failure, and may include septic shock, which is estimated to be present in about 25% of bacteremic patients (Kang et al., 2005). In fact, a recent prospective observational cohort study found a significant association between E. coli bacteremia and adverse outcomes after 28 days for the following clinical presentations: cancer, chronic peripheral arteritis, sepsis, and septic shock at initial presentation, infection of the digestive tract and airway, and start of adequate antibiotic therapy after 48 h of onset bacteremia (de Lastours et al., 2020). Interestingly, bacteremias starting as urinary tract infections displayed a greater strength of association with the survivor group, representing a noteworthy point of inflection for these types of infections. The latter is not an isolated figure, as confirmed in a multivariate analysis from a recent retrospective cohort study on E. coli bacteremia, where this observation urinary tract infection is reported as a remarkable protective factor (OR = 0.07) for the outcome 30-day mortality (Chapelet et al., 2017). Furthermore, multivariate analysis reveals an astounding OR of 6.54 for pulmonary portal of entry as determinant of 28-day mortality, after adjustment. Other determinants included in the final multivariate model were infection with bacterial factor STc88 (OR = 3.62), expression of virulence factor iha_17 (OR = 4.41), and other comorbidities (OR = 1.14; de Lastours et al., 2020). Similarly, another prospective observational cohort study found a significant association between E. coli bacteremia and septic shock or death within 72 h in patients presenting hematologic cancer or history of transplantation (OR = 16.34), reduced daily living activity (OR = 3.85), and presence of virulence factor iss (OR = 7.71), after adjustment in a multivariate analysis (Fröding et al., 2020). The excess risk revealed for oncologic, or transplantation patients is a call for caution to practitioners attending such conditions. A summary of the factors detailed in this section is listed in Table 3.

Table 3

OrganismFactorReferences
Pathogen risk factors
E. coliPresence of phylogroups B2, D, and B1de Lastours et al. (2020)
K. pneumoniaePresence serotypes K1, K2, K20, K54, K57Liao et al. (2022)
Presence of blaKPC-bearing strainsHu et al. (2021)
S. aureusPresence of PVL+ MRSA strainsImauven et al. (2022)
P. aeruginosaPresence of MLST, ST235 or O11 serotypeRecio et al. (2021)
Strong biofilm producing strainsdi Domenico et al. (2021)
Non-motile strainsGupte et al. (2021)
Candida spp.Presence of BDG+ speciesAgnelli et al. (2019)
Host risk factors
E. coliAdvanced ageBai et al. (2020) and Somayaji et al. (2021)
Neonate infectionStoll et al. (2020)
Chronic comorbidities: cancer, chronic peripheral arteritisde Lastours et al. (2020)
Bacteremia with pulmonary portal of entryChapelet et al. (2017)
K. pneumoniaeBacteremia with pulmonary portal of entryChen I. R. et al. (2022)
Presence of central venous catheterAng et al. (2022)
S. aureusAdvanced age, male sexBassetti et al. (2018) and Imam et al. (2019)
Presence of genes COX7C, NDUFA4, ATP5J, NDUFB3, and COX7A2Wu H. et al. (2021)
P. aeruginosaAdvanced age, male sexEsparcia et al. (2019)
Indwelling urinary catheterEsparcia et al. (2019) and Tan et al. (2021)
Long-term hospital stayTan et al. (2021)
ImmunocompromiseHammer et al. (2017)
Bacteremia with pulmonary portal of entry
X-linked agammaglobulinemiaBhardwaj et al. (2017), Biscaye et al. (2017), Birlutiu et al. (2019), and Huang H. et al. (2020)
S. pyogenesLow levels of VEGFLu et al. (2022)
Candida spp.Concomitant bacteremiaLee et al. (2020), Pieralli et al. (2021), Zhong et al. (2022), and Gebremicael et al. (2023)
SOFA scoreBienvenu et al. (2020), Jung et al. (2020), Huang H. Y. et al. (2020), and Kutlu et al. (2022)
CVCLee et al. (2020) and Huang H. Y. et al. (2020)
Liver cirrhosisGonzález-Lara et al. (2017), Battistolo et al. (2021), and Meyahnwi et al. (2022)
Kidney dysfunctionPoissy et al. (2020), Mazzanti et al. (2021), and Kutlu et al. (2022)
Charlson Comorbidity Index ≥4Bassetti et al. (2020), Yoo et al. (2020), and Kim et al. (2021)
Concomitant neoplasiaLee et al. (2020), Battistolo et al. (2021), and Vázquez-Olvera et al. (2023)
Current azole therapyLee et al. (2020)
Age ≥ 65Meyahnwi et al. (2022)
Concurrent antibiotic therapy
NeutropeniaKim et al. (2021)
Total parenteral nutritionPieralli et al. (2021) and Kutlu et al. (2022)
HemodialysisBassetti et al. (2020)
Cardiovascular surgeryMazzanti et al. (2021)
IV catheterHuang H. Y. et al. (2020)
MODS ≥6Chen et al. (2020) and Yoo et al. (2020)
Concomitant severe sepsisGonzález-Lara et al. (2017)
Required vasopressor therapyGebremicael et al. (2023)
Liver dysfunction
Broad-spectrum antibiotic use before candidemiaKutlu et al. (2022)
Thrombocytopenia
Delayed treatmentBienvenu et al. (2020)
Host protective factors
E. coliBacteremia with urinary portal of entryChapelet et al. (2017) and de Lastours et al. (2020)
P. aeruginosaLevels of hemoglobin in pediatricsKung et al. (2020)
S. pyogenesVEGFLu et al. (2022)
Endosomal TLR13 pathogen recognitionHafner et al. (2019)
Candida spp.CVC removalKutlu et al. (2022)

Summary of novel risk and protective factors of interest for sepsis detailed in this review.

ATP5J, ATP synthase-coupling factor 6; BDG, (1,3)-β-D-Glucan; COX7A2, cytochrome c oxidase subunit 7A2; COX7C, cytochrome c oxidase subunit 7C; CVC, central venous catheter; GI disease, gastrointestinal disease; blaKPC, b-lactamase K. pneumoniae; MLST, multilocus sequence typing; MODS, multiple organ dysfunction score; MRSA, methicillin-resistant S. aureus; NDUFA4, cytochrome c oxidase subunit NDUFA4; NDUFB3, NADH dehydrogenase [ubiquinone] 1 beta subcomplex subunit 3; PVL, panton–valentine leukocidin; SOFA, sepsis organ failure assessment; TLR13, toll-like receptor 13; VEGF, vascular endothelial growth factor.

2.4. Treatment

Empiric antimicrobial therapy follows a general Gram-negative bacteremia algorithm with prolonged delivery of broad-spectrum β-lactam antibiotics as the first indication (Evans et al., 2021). Directed therapy is aimed at restraining resistance with recommendations to switch to a single agent with the narrowest spectrum to which the organism is susceptible. A recent prospective observational cohort study found that amoxicillin/clavulanic acid, cotrimoxazole, and fluoroquinolone, had the strongest association between antibiotic resistance and 28-day mortality in E. coli bacteremia (de Lastours et al., 2020). Favorably, none of the non-survivors presented any carbapenem resistance, which was present in only one out of 493 survivors. Moreover, multivariate analysis reveals an increased risk for 28-day mortality by broad-spectrum β-lactam and/or third-generation cephalosporin resistant strains in patients presenting chronic alcoholism (OR = 3.04), initiating adequate antibiotic treatment after 48 h (OR = 3.04), or with a history of bacteremia (OR = 2.81), after adjustment (de Lastours et al., 2020). According to the latest global report on antimicrobial resistance by the WHO, the median resistance to third generation cephalosporins in E. coli bloodstream confirmed infections is 41.8% [World Health Organization (WHO), 2022a]. It is suggested that cefotaxime and ceftriaxone are the most suitable antibiotics to monitor cephalosporin resistance in E. coli BSI. Thus, pathogen-directed analyses are key to guide the development and implementation of strategies on age-targeted prevention, antimicrobial resistance, and new therapies.

3. Klebsiella pneumoniae

Klebsiella pneumoniae is a Gram-negative, encapsulated, non-motile, facultatively anaerobic bacterium. Klebsiella species are commonly found in soil, water, plants, and livestock (Morgado et al., 2022), and K. pneumoniae in human hosts is not strictly pathogenic. In fact, K. pneumoniae colonizes the nasal and digestive tract without causing any symptomatic disease (Chang et al., 2021), and it is proposed that gastrointestinal colonization serves as a major reservoir for transmission and infection to other sites (Martin et al., 2016). Moreover, studies show a high level of association between gastrointestinal carriage and subsequent infection by a patient’s own K. pneumoniae strains (Martin et al., 2016; Gorrie et al., 2017). Although the exact mechanisms are unclear, K. pneumoniae progression from intestinal territories has been related to a disproportion in bacterial density of colonizing strains, especially when host defenses are challenged, e.g., during cancer, diabetes mellitus, and alcohol abuse (Happel and Nelson, 2005). Traditionally, serotypes of Klebsiella isolates have been identified and followed using typing antisera. Different O and K serotypes are produced as a result of the detection of distinctive variants of surface-exposed polysaccharides, named O-antigens and K-antigens, by certain antibodies. O-antigens constitute the outer layer of lipopolysaccharide (LPS), whereas K-antigens are a component of the bacterial capsule polysaccharide (CPS). To date, eight serotypes for O-antigens and 77 for K-antigens have been described (Follador et al., 2016).

3.1. Epidemiology

A recent multi-country collection study revealed that K. pneumoniae geographical diversity is dominated worldwide by antigen O1, followed by antigen O2, which displayed a larger proportion in Europe, and antigen O3, less represented in Africa (Choi et al., 2020). Additionally, a recent report on worldwide BSI identified K. pneumoniae as the third most prevalent pathogen consistently over the last 25 years (Diekema et al., 2019). Moreover, various publications on K. pneumoniae progression into the bloodstream identified pulmonary, abdominal, and urinary sites as the leading sources of infection (Togawa et al., 2015; Hyun et al., 2018; Juan et al., 2019; Huang Y. T. et al., 2020; Li M. et al., 2023). Interestingly, all these reports are successful in identifying the primary source of infection, a fact that differs from clinical findings reported before 2010, in which K. pneumoniae bacteremia of unknown origin reached up to 58% of cases (Tsay et al., 2002; Tumbarello et al., 2006). Among the most widely distributed K. pneumoniae, serotype antibiotic resistance was predominantly associated to serotypes carrying antigens O2 and O3, while serotypes carrying antigen O1 (the most frequently distributed worldwide) was associated with sensitivity to extended spectrum cephalosporins, fluoroquinolone, and carbapenems, among many other antibiotics (Choi et al., 2020; Table 1). According to the latest global report on antimicrobial resistance by the WHO, K. pneumoniae is the third leading agent causing bacteremia with an increasing resistance to third- and fourth-generation cephalosporin and co-trimoxazole therapy [World Health Organization (WHO), 2022a], pushing the use of carbapenems (Souli et al., 2017).

3.2. Pathogen factors

Among the most prevalent virulence factors identified in BSI in the United States are genes ybt, clb, iucA, rmpA, rmpA2, and iroB, of which, iucA and rmpA/2 have been associated with carbapenem resistance (Kochan et al., 2022). Consistently, iucA, rmpA, rmpA2, iroB, and peg-344, were recently described as the most prevalent virulence genes in Taiwan (Liao et al., 2022), while genes ybt, iuc, and rmp were recently described as the most prevalent in China (Cienfuegos-Gallet et al., 2022). Co-infection of K. pneumoniae with other bacterial agents (i.e., Acinetobacter baumannii, P. aeruginosa, and E. coli, among other less frequent bacteria) has been documented and sized previously (Karakonstantis et al., 2022; Lv et al., 2022).

3.3. Host factors

Multivariate analyses report nosocomial pneumonia, high SOFA score, inappropriate treatment (Chen I. R. et al., 2022), high APACHE II score, development of septic shock (Wu X. et al., 2021), and central venous catheter (Ang et al., 2022), as significant risk factors for mortality from K. pneumoniae BSI. Moreover, BSI with serotypes K1, K2, K20, K54, and K57, has also been found associated to increased mortality distributions (Liao et al., 2022). Furthermore, infection with K. pneumoniae β-lactamase (blaKPC)-harboring strains has been found as an independent risk factor for mortality (Hu et al., 2021). Co-infection of K. pneumoniae with other viral agents, particularly with SARS-CoV-2, has been well described (Damico et al., 2022; Said et al., 2022), reviewed (Santos et al., 2022), and sized (Lansbury et al., 2020; Kariyawasam et al., 2022; Santos et al., 2022) elsewhere. Of note, the proportion of K. pneumoniae isolates from COVID-19 patients has been documented to be significantly lower compared to COVID-negative controls, implicating that infection with viral agents may reduce the chance to develop bacteremia, a subject that requires further research (Glass et al., 2022). A summary of the factors detailed in this section is listed in Table 2.

3.4. Treatment

In line with general Gram-negative bacteremia treatment, empiric antimicrobial therapy considers prolonged delivery of broad-spectrum β-lactam antibiotics as the first indication (Evans et al., 2021). However, driven by the extensive use of carbapenems, the growth and spread of carbapenem-resistant bacterial infections has emerged as a major public health concern in recent decades. In fact, K. pneumoniae resistance to carbapenems has experienced a 3-fold increase worldwide since 2016 [World Health Organization (WHO), 2022a]. A wise strategy to overcome this new threat is founded on the use of carbapenem antibiotics in combination with β-lactamase inhibitors, such as clavulanic acid, sulbactam, and tazobactam. Thus, notorious advances in terms of drug efficacy and safety have been made over the last decade with new β-lactam/β-lactamase inhibitor combinations (BLIC) synergistically restoring antimicrobial sensitivity, e.g., aztreonam/avibactam, ceftazidime/avibactam, imipenem/relebactam, meropenem/vaborbactam, and cefepime/zidebactam, among others (Vázquez-Ucha et al., 2020).

A recent study in Taiwan reports a significant restoration of imipenem activity against carbapenem-nonsusceptible K. pneumoniae when combined with relebactam, increasing susceptibility from 0.8 to 88.4%, 21.4 to 42.9%, and 30 to 40%, in isolates producing carbapenemases of Ambler classes A, B, and D, respectively (Yang T. Y. et al., 2022). In accordance, regarding the same combination, a study analyzing K. pneumoniae isolates from Spain and Portugal reports a major decrease in resistance in Ambler class A carbapenemase-harboring strains, while reporting no resistance to ceftazidime/avibactam combination in isolates producing carbapenemases of Ambler classes A and D (Hernández-García et al., 2022). In fact, experimental combination of ceftazidime/avibactam and aztreonam (Shah et al., 2021) or possibly meropenem (Parruti et al., 2019) has been reported successfully not only in clinical case reports but also in a recent cohort study (adjusted HR = 0.136; Zheng et al., 2021). Additionally, use of fosfomycin in combination with third- and fourth-generation cephalosporin has been thoroughly (in a retrospective cohort study analyzing 104 cases of carbapenem resistant K. pneumoniae bacteremia) demonstrated as protective (adjusted OR = 0.07) against mortality by sepsis (Liao et al., 2017). While these promising results constitute the latest evidence on advanced approaches in patients, further evidence from animal models reveals that rifampin alone or in combination with colistin have the strongest effect against carbapenemase-producing K. pneumoniae sepsis mortality in vivo (Pachón-Ibáñez et al., 2018). Moreover, use of amikacin alone or in combination with fosfomycin significantly reduced circulating bacterial load in a sepsis model using carbapenemase-producing K. pneumoniae strains (Cebrero-Cangueiro et al., 2021).

In the quest for new therapies, a recent report on animal K. pneumoniae sepsis shows that the use of mushroom-derived β-glucans are able to reduce bacterial load while improving physiological parameters associated to the pathobiology of sepsis (i.e., arterial pO2, plasma lactate, pulmonary compliance, and arterial alveolar oxygen gradient; Masterson et al., 2020). In line with this, Bergenin monohydrate (a plant extract with immunomodulatory properties) has been described to reduce reactive oxygen species (ROS) production and increase cell viability in vitro while increasing levels of superoxide dismutase (SOD) and GSH, and reducing bacterial load, levels of inflammatory cytokines interleukin (IL)-6, IL-1β, prostaglandin E2 (PGE2), and tumor necrosis factor (TNF-α), malondialdehyde (MDA) formation, myeloperoxidase (MPO) content, and number of infiltrating leukocytes in a MAPK/NF-κB–dependent manner in the lungs of septic animals challenged with K. pneumoniae (Tang et al., 2021). Similarly, AS101 (an inorganic compound with anti-apoptotic, anti-inflammatory, and immunomodulatory effects; Okun et al., 2007) has been described to reduce bacterial load across the liver, kidney, and spleen, and ultimately increasing mice survival from 0% 30 h after K. pneumoniae injection i.p. to 75% after 72 h in a mouse model of carbapenem-resistant K. pneumoniae sepsis (Yang et al., 2021). Also, TNF-related apoptosis-inducing ligand (TRAIL) encapsulated to a polypeptide-crosslinked nanogel has been described to significantly reduce bacterial load in blood and increase mice survival from 0% 4.5 days after K. pneumoniae instillation i.t. to 75% after 12 days in a mouse model of K. pneumoniae sepsis (Chen et al., 2019). Likewise, adipose-derived mesenchymal stem cells were described to significantly reduce bacterial load across the lung, blood, liver, and spleen; reduce pro-inflammatory cytokines (TNF-α, IL-1β, and IL-6) in the lung; and reduce tissue immune infiltration and damage, by downregulating genes related to nicotine, thymine, and uracil degradation, and upregulating genes related to unfolded protein response, sirtuin signaling pathway, and leukocyte adhesion and diapedesis, among others, in a mouse model of K. pneumoniae induced pneumosepsis (Perlee et al., 2019).

A cutting-edge approach using red blood cell membrane-coated poly(lactic-co-glycolic acid) (PLGA) nanoparticles (γ3-RBCNPs) to improve antibiotic bioavailability showed an astounding increase in mice survival from 0% 4 days after K. pneumoniae instillation i.t. to 60% after 7 days of instillation, with a significant and systematic reduction in bacterial load across the lung, blood, liver, spleen, and kidney, and a significant reduction in circulating levels of TNF-α, IL-1β, and IL-6 (Liu et al., 2022). Another cutting-edge approach using novel therapeutic antibodies targeting K1-serotype CPS of hypervirulent K. pneumoniae (hvKp) strains to promote bacterial phagocytosis by Kupffer cells in the liver were described to significantly reduce bacterial load across the lung, liver, and spleen, of hvKp challenged mice while increasing their survival from 0% 4 days after hvKp injection i.p. to 75% after 15 days in a mouse model of K. pneumoniae sepsis (Diago-Navarro et al., 2017). On the edge of knowledge, it has been revealed that exposure to blue light (peak 442 nm) significantly reduces bacterial load from the lung, blood, liver, and spleen, while significantly increasing mice survival from 15% 100 h after K. pneumoniae instillation i.t. to 62% after 125 h of bacterial challenge (Griepentrog et al., 2020). This was explained by local modulation of MPO activity and neutrophil abundance. Interestingly, there was no significant change in mononuclear abundance in the lung. The effect of blue light was mechanistically elucidated and attributed to a neural circuit signaling through a cholinergic anti-inflammatory pathway that directly controls immune responses in the spleen, enhancing control of the infection, and improving survival (Griepentrog et al., 2020). Thus, the potential therapeutic utility of something as trivial as ambient light in the ICU is strongly underscored. These cutting-edge approaches constitute powerful and promising tools in the search for new avenues for the treatment of sepsis that entails further research and encouragement. Lastly, pushing the edges of knowledge, it has been described that K. pneumoniae is able to induce alterations in the gut microbiome and cecal metabolome in a mouse model of sepsis (Wu T. et al., 2020). A significant difference in the richness, diversity, and composition of bacterial communities in mice challenged with K. pneumoniae, with fewer Bacteroidetes and Firmicutes but higher levels of Proteobacteria and Verrucomicrobia. At the genus level, mice challenged with K. pneumoniae had significantly fewer Bacteroides, Parabacteroides, Bifidobacterium, Clostridium, Coprococcus, and Prevotella, which produce short-chain fatty acids (SCFA). Interestingly, absolute concentration of SCFAs both in cecal contents and in serum were consistently lower in mice challenged with K. pneumoniae. Notably, supplementation of SCFAs in drinking water significantly reduced bacterial burden and tissue damage in the lungs, and significantly reduced mortality, while increasing phagocytic capacity of alveolar macrophages and pulmonary levels of IL-6 and TNF-α. Thus, characterization of microbial biomarkers displays a sizable potential for aiding in the diagnosis/prognosis of patients under critical care.

Additional evidence from animal models implicates PTX3 pentraxin (a component of humoral innate immunity involved in resistance to selected pathogens by promoting opsonophagocytosis) as protective factor expressed on the host side promoting bacterial phagocytosis, expression of TNF-α, IL-1β, IL-6, and CXCL-1, limiting MPO levels and leukocyte counts, protecting from tissue hemorrhage and increased mortality in septic mice challenged with K. pneumoniae (Asgari et al., 2021). Hypoxia-inducible factor (HIF) has also been implicated in modulating the immune system of the host during sepsis (Otto et al., 2021). Using a Cre/lox system, HIF1α was found instrumental to engage host defense against K. pneumoniae pneumosepsis for its significant role in bacterial load reduction both in the lung and distant organs and limiting levels of pro-inflammatory cytokines while enhancing the release of IL-10 in the lung (Otto et al., 2021). This modulation was explained by an energetic dysregulation affecting glucose uptake, leading to a significant reduction in TNF-α production in both alveolar and interstitial macrophages in LysM-cre × Hif1αfl/fl mice during onset K. pneumoniae i.n. challenge. Collectively, this frontline evidence shows as the foundation for the establishment of new diagnostic tools and the development of the therapeutics of the future.

4. Staphylococcus aureus

Staphylococcus aureus is a facultative Gram-positive organism mostly recognized for its pathogenic potential. Notwithstanding, S. aureus is a frequent colonizer in human hosts (Laux et al., 2019), with abundances reported recently as 32% for neonates (Arora et al., 2023), 25–29% for pediatrics (McNeil et al., 2022; Arora et al., 2023), and 30% for adults (Erayil et al., 2022). Although colonization is asymptomatic, it has been deemed a risk factor for developing BSI in the event of pathogenic transformation and bloodstream invasion (Tacconelli et al., 2017). Currently, there is no consensus on what single event leads to pathogenic progression. Rather, virulence mechanisms appear to be related to circumstance, environmental opportunity, and particularly, to host-pathogen interplay (Kwiecinski and Horswill, 2020).

4.1. Epidemiology

Staphylococcus aureus is reported as the leading causative agent for BSI in North America and the second most prevalent for the rest of the world (Diekema et al., 2019). Moreover, a recent study conducted in Australia reported an increased incidence of S. aureus bacteremia in older men, especially over 60 years old, almost doubling the incidence reported in the same age group in women (Imam et al., 2019). Furthermore, another study reported that MRSA bacteremia in patients older than 75 years old represents a significant risk factor (OR = 2.4) for 30-day mortality (Bassetti et al., 2018). Similarly, a prospective observational study carried out in Australia and New Zealand found a strong majority of the samples associated to advanced age (>70 years-old, 63.1%), male sex (64%), and methicillin susceptibility (75.9%), and multivariate analysis further revealed sepsis as the most influent risk factor for 30-day mortality in patients with S. aureus bacteremia (OR = 4.01; Turnidge et al., 2009). Bloodstream coinfection with other pathogenic agents is less frequent, although it has been reported that S. aureus/Candida albicans coinfection has a catastrophic proportion of 82% for 30-day mortality and a high correlation with indwelling vascular devices (Wu Y. M. et al., 2021). In fact, a retrospective observational study conducted in Italy showed that patients older than 80 years afflicted with MRSA BSI had the highest risk for 30-day mortality and coinfection with Enterococcus spp. and Candida spp. were significant risk factors for this outcome (Giovannenze et al., 2021; Figure 1). More recently, S. aureus/SARS-CoV-2 coinfection has gained more insight, with reported 30-day mortality of 67%, largely attributable to hospital-onset bacteremia in patients mostly under mechanical ventilation (Cusumano et al., 2020).

Figure 1

4.2. Pathogen factors

A recent study comparing the pathogenic mechanisms of fixed clonal complexes of S. aureus during sepsis showed only one virulence property that remained consistent (Recker et al., 2017). These were polymorphisms in the capA gene, which encodes an enzyme involved in capsule biosynthesis, which is responsible for host immunity protection and acts as a virulence factor during sepsis. Notably, this gene is absent in S. aureus clones in North America (Boyle-Vavra et al., 2015), further highlighting the absence of a consistent set of virulence factors and the overall versatility of this pathogen. Another virulence factor of interest is cytotoxin Panton–Valentine Leukocidin (PVL), which is highly prevalent in community-acquired methicillin-resistant S. aureus (MRSA) and has been associated with higher risk of developing sepsis (Ahmad et al., 2020; Monecke et al., 2020). A study conducted in China comparing MRSA strains isolated from adult and pediatric patients reported a higher prevalence of PVL in adult MRSA isolates (55.8 vs. 35.3%), in addition to higher antibiotic resistance and higher mortality in adults (Zhao et al., 2022; Table 1). Clone ST5/ST764-MRSA SCCmec II was the predominant isolate in adults, whereas clone ST59-MRSA SCCmec IV was the predominant isolate in pediatrics (Zhao et al., 2022). Also regarding PVL, another study comparing adult and pediatric isolates from patients admitted to the ICU in New Caledonia Island (Southwest Pacific region) reported a significantly higher prevalence of PVL+ MRSA strains in adults (61 vs. 30%), which carried an implicit higher risk for developing sepsis and a fatal outcome (OR = 4.57; Imauven et al., 2022).

Added to the array of virulence factors of S. aureus is toxic shock syndrome toxin-1 (TSST-1), which relates to the rapid development of symptoms consistent with sepsis, including hypotension and organ dysfunction. Although there is an insufficient number of large-scale studies on TSST-1 molecular epidemiology, recent data from the Democratic Republic of the Congo identified TSST-1 in 67% of MRSA and 4% of MSSA blood isolates (Vandendriessche et al., 2017), while data from China reports TSST-1 in 23.1% of MRSA and 6.7% of MSSA blood isolates (Liu et al., 2018). For their joint virulence and its inherent potential to cause a fatal outcome (Hayakawa et al., 2020), despite representing only 0.4% of all MRSA isolates in a whole-genome analysis carried out in Japan (Kaneko et al., 2023) and 0% of all isolates in a worldwide comparative genomic analysis (Zhou et al., 2021), systematic monitoring of PVL+TSST-1+ isolates becomes a relevant facet of S. aureus virulence to survey. A summary of the factors detailed in this section is listed in Table 2.

4.3. Host factors

Host immunity plays a pivotal role in clearing S. aureus presence in the bloodstream. Notably, neutrophils isolated from patients undergoing S. aureus sepsis exhibit increased formation and release of neutrophil extracellular traps (NET) and pro-inflammatory cytokines TNF-α, IL-1β, and IL-8 (Gupta et al., 2022). Moreover, neutrophil and lymphocyte abundance as a ratio has been demonstrated as an independent predictor for 90-day mortality. Such simple but relatively costly measurement shows potential as a prognostic tool, which if supplemented with appropriate sensitivity and specificity information, may prove useful in orienting the management of septic patients (Greenberg et al., 2018). Likewise, serum levels of C5a and IL-10 were found significantly higher in samples from S. aureus bacteremic patients when compared to matched hospitalized and community controls (Eichenberger et al., 2020). Also, in the quest for prognostic predictors during S. aureus bacteremia, activity of caspase-1 in neutrophils and monocytes, serum levels of IL-18, and whole blood mRNA levels of inflammasome mediator NOD-like receptor family pyrin domain-containing 3 (NLRP3), were found to display a significant difference between survivors and non-survivors (Rasmussen et al., 2019). Bioinformatic screening of blood samples of S. aureus bacteremic patients further reveals direct correlation between the expression of a set of five genes (COX7C, NDUFA4, ATP5J, NDUFB3, and COX7A2; relating to aerobic respiration, cellular stress response, mitochondrial electron transport, mitochondrial transport, and oxidative phosphorylation) and adverse outcome (Wu H. et al., 2021). Although further testing of the prognostic value of such analysis is required, the high-throughput approach is noteworthy and the potential of a multiplex approach to follow the development of sepsis is promising.

Similarly, meta-analysis of existing databases further corroborates the plausibility for bioinformatics approaches to aid in tackling sepsis from a molecular flank. Analysis of post-translational modifications to mRNA (in particular, methylation of the sixth N atom on the adenine base, m6A) integrated into single nucleotide polymorphisms (SNP) revealed a significant presence of a set of m6A-SNPs during S. aureus sepsis (Sun et al., 2020; Table 1). Such set was characterized and associated to DNA repair, vesicle-mediated transport, peptidyl-serine phosphorylation, leukocyte migration, catabolic processes, regulation of endopeptidase activities, phagocytosis, and platelet degranulation. Although no further clinical characterization was reported, the value in diagnostics, prognosis, and therapeutics is yet to be explored.

Host defense against S. aureus is not limited to leukocytes, as recently demonstrated in a translational report (Sun et al., 2021). Prompted by an observation of the strong association between thrombocytopenia (without leukopenia or leukocytosis) and patient mortality, authors used an in vivo model to demonstrate that the underlying mechanism of platelet-mediated antibacterial activity is impaired by S. aureus pore-forming α-toxin (Hla). Interaction of α-toxin with platelet chemoreceptor P2Y12 was inhibited by using FDA-approved and commercially available antiplatelet drug ticagrelor, resulting in extended protection from thrombocytopenia, enhanced bacterial clearing, protection from organ damage, and increased survival. Thus, in a single report platelet contribution to host immunity and the repurpose of an available drug to protect against S. aureus bacteremia was elegantly demonstrated. Not surprisingly, ulterior reports have extended these findings by corroborating the protective effect of ticagrelor against S. aureus bacteremia. In a nationwide observational cohort study carried out in Denmark, ticagrelor use was demonstrated protective not only against S. aureus bacteremia but also, in a higher proportion, against sepsis and pneumonia (Butt et al., 2020). Further evidence on ticagrelor repurposed use is described in a recent case report detailing a steep correction in platelet count and complete recovery of a patient afflicted with methicillin-sensitive S. aureus (MSSA) bacteremia treated with ticagrelor for 3 months (Ulloa et al., 2021). A summary of the factors detailed in this section is listed in Table 3.

4.4. Treatment

Empiric treatment for S. aureus is initiated pending susceptibility tests and is prophylactically directed against MRSA with the use of vancomycin or daptomycin (Liu et al., 2011). Evidence has been presented in favor of the use of initial doses of vancomycin ≥20 mg/kg for a faster resolution of systemic inflammation (Wesolek et al., 2018). Once susceptibility is elucidated, if isolate is MSSA, antibiotic treatment is de-escalated to a β-lactam agent. Use of combination therapy is controversial, with weak evidence found in a recent clinical trial (Pujol et al., 2020) and several cohort studies (Rieg et al., 2017; Davis et al., 2018; Guthridge et al., 2021; Kufel et al., 2023). Appraisal of the therapeutic value of monotherapy was presented in a recent clinical trial carried out in South Korea, in which treatment of MSSA bacteremia with nafcillin was associated with higher Sequential Organ Failure Assessment (SOFA) scores, higher rates of treatment failure, and astoundingly higher mortality figures than treatment with cefazolin (Lee et al., 2018). In fact, odds ratios for treatment with cefazolin over nafcillin were 0.39 for SOFA score ≥ 2, 0.43 for treatment failure, and 0.15 for 90-day mortality. Overall protective effect of treatment of MSSA bacteremia using cefazolin was quantified with an adjusted OR = 0.44. Interestingly, matched propensity scores resulted significant only for the bacteremic group and not for the septic group, highlighting the higher level of complexity in the pathobiology of sepsis. A relevant preoccupation is the increasing resistance to methicillin, where median percentage resistance increased from 16.6% in 2017 to 18.3% in 2020, according to a recent global report (World Health Organization (WHO), 2022a). Other reports on antimicrobial resistance related to sepsis describe S. aureus methicillin resistance to be 17.6% in Australia and 15.5% in Europe (Coombs et al., 2022). Management of MRSA by means of either monotherapy or combination therapy of vancomycin or daptomycin, with or without a β-lactam agent, shows no significant differences in 30-day mortality risk, length of stay, or risk of persistence, as evidenced by a recent meta-analysis (Yi et al., 2021). A fact to be assessed in terms of harms versus benefits when sizing therapeutical value and antibiotic resistance.

5. Pseudomonas aeruginosa

Pseudomonas aeruginosa is an aerobic Gram-negative bacterium distributed ubiquitously in the environment. P. aeruginosa infections are frequently nosocomial and opportunistic, as they frequently occur concomitantly to existing physical, phagocytic, or immunologic dysfunctions in host defense, leading to bloodstream, urinary tract, respiratory, and intra-abdominal infection (Tang et al., 2017; Li X. et al., 2023).

5.1. Epidemiology

Recent reports place P. aeruginosa as the fourth most common cause of BSI globally (Diekema et al., 2019) and the third most frequent pathogen isolated in catheter-associated urinary tract infection and ventilator-associated pneumonia (Weiner-Lastinger et al., 2020). This is relatively consistent throughout the world, except in North America, where P. aeruginosa BSI ranks fifth (Diekema et al., 2019). Despite its relatively low proportion in BSI incidence, a recent study analyzing isolates from the United States reports P. aeruginosa as the second most frequent pathogen causing BSI mortality, accounting for nearly a quarter of the cases between 2016 and 2020 (Ohnuma et al., 2023).

5.2. Pathogen factors

Although pathogenesis of P. aeruginosa has been extensively studied in models of pneumonia, burn wounds and urinary infection, few studies have explored virulence factors expressing in sepsis-inducing strains. A recent transcriptomic analysis of clinical isolates associated to BSI revealed high-level expression of a novel cell-surface signaling system named Hxu (a response system for sensing extracellular porphyrin rings of haem; Otero-Asman et al., 2019), whereas deletion or overexpression of this pathway resulted in reduced or enhanced BSI, respectively (Yang F. et al., 2022). Several genes related to P. aeruginosa metabolism have been associated with the level of virulence of the strain PAO1, extensively used in sepsis models. Deletion of the regulator of α-ketoglutarate transport mifR resulted in a significant improvement of survival following pneumonia-induced sepsis in a murine model as well as a reduction in pro-inflammatory cytokines and reduced NLRP3 inflammasome activation (Xiong et al., 2022). In addition, expression of enzymes able to degrade host extracellular matrix components such as heparinase contribute to the virulence of sepsis-inducing strain P. aeruginosa PA14. Mutation of the gene encoding for heparinase (hepP) impaired bacterial dissemination and prevented mortality in murine models of thermal injury and intraperitoneal PA14 injection, indicating that hepP contributes to the pathogenesis of PA14 (Dzvova et al., 2018). A summary of the factors detailed in this section is listed in Table 2.

5.3. Host factors

Recent studies indicate that susceptibility to develop systemic infection is associated with various predisposing host factors. In fact, immune compromised hosts exhibit an adjusted odds ratio of 3.7 for BSI in a multivariate logistic regression model considering age, sex, ethnicity, chronic comorbidities, source of infection, recent ambulatory procedures, urinary catheterization, residence in skilled nursing facilities, chronic hemodialysis, current and recent hospitalization, and prior exposure to β-lactams and fluoroquinolones in the past 90 days (Hammer et al., 2017). Moreover, the latter odds ratio has been reported as high as 13.82 for BSI and 23.1 for 30-day mortality, also in multivariate analyses (Tan et al., 2021). Interestingly, according to a 2019 report on community-onset P. aeruginosa urinary infection in elderly people, odds ratio for sepsis were highest for patients who received healthcare (OR = 5.52), who had an indwelling urinary catheter (OR = 3.25), and who were male (OR = 3.16), as determined in a stepwise logistic regression (Esparcia et al., 2019). An interesting instance of host susceptibility is presented by the growing number of cases reported on P. aeruginosa sepsis in pediatric hosts with X-linked agammaglobulinemia (XLA, OMIM #300755; Bhardwaj et al., 2017; Biscaye et al., 2017; Birlutiu et al., 2019; Huang H. et al., 2020), an immunodeficiency characterized by failure to produce mature B lymphocytes resulting in clinically undetectable levels of all immunoglobulin isotypes. Pediatric patients with XLA rapidly develop sepsis after P. aeruginosa infection and, while specific pathogen identification delays targeted therapy, the appearance of landmark skin lesions (ecthyma gangrenosum) represent an informative sign of the underlying causative agent (P. aeruginosa).

An additional useful example that warrants attention is the protective effect observed for hemoglobin levels in P. aeruginosa pediatric sepsis as an outcome, with an astounding OR = 0.155 obtained after multivariate logistic regression analyses in a matched case–control study conducted in Taiwan (Kung et al., 2020). Extensive research has characterized the immune responses at the lung and skin in mouse models of acute P. aeruginosa infection but the role of both innate and adaptive immune cells during P. aeruginosa sepsis is still poorly understood. Bacterial dissemination and sepsis are usually accompanied by increased numbers of phagocytes, but in a model of burn wound infection, neutrophil and monocyte recruitment to the seroma fail to contain P. aeruginosa dissemination, promoting the development of sepsis (Brammer et al., 2021). However, modulation of these cells by host-derived molecules may prevent severe sepsis and mortality. Endogenous hydrogen sulfide (H2S) produced by cystathionine-γ-lyase enhances neutrophil recruitment and their phagocytic activity resulting in reduced mortality in a mouse model of sepsis induced by a multidrug-resistant strain. In addition, H2S reduces the expression of P. aeruginosa quorum sensing genes, favoring pathogen phagocytosis. Moreover, clinical correlates show that patients who survived sepsis had higher levels of circulating H2S compared to non-survivors, strongly suggesting that H2S plays a protective role during P. aeruginosa sepsis (Renieris et al., 2021).

Host immunosuppressive mechanisms may also play a detrimental role during P. aeruginosa sepsis. Animal models of secondary bacteremia following cecal punction ligation exhibit improved survival after a partial deletion of Tregs and a reduction in anti-inflammatory cytokine IL-10 (Hu et al., 2018). In line with this, treatment with the immunoregulatory molecule ethyl pyruvate reduced lung levels of IL-10 and the expression of FOXP3 in lung-derived Tregs in a two-hit model of sepsis, reversing P. aeruginosa secondary pneumonia (Chen et al., 2017). IL-10 deficient mice are more susceptible to PA14-induced pneumonia but do not display bacteremia (Belo et al., 2021), suggesting that IL-10 helps to control local antimicrobial responses, but high lung levels may favor bacterial dissemination. Therefore, the role of IL-10 and other anti-inflammatory host-derived molecules during P. aeruginosa sepsis is poorly understood and requires further research to confirm its role increasing host susceptibility to severe sepsis and mortality. P. aeruginosa not only interacts and promotes colonization and coinfection with S. aureus (Clancy et al., 2014) and Stenotrophomonas maltophilia (McDaniel et al., 2020) but is also a common cause of secondary bacterial infections in patients hospitalized for COVID-19 (Lansbury et al., 2020; Garcia-Vidal et al., 2021), a fact exemplifying its opportunistic nature. P. aeruginosa is associated with high in-hospital mortality rates and prolonged lengths of stay (Naylor et al., 2018). A summary of the factors detailed in this section is listed in Table 3.

5.4. Treatment

Clinically, antimicrobial treatment proceeds observing four arms: controlling the source (i.e., infected catheters or ventilator reservoirs), timely initiation of therapy, use of mono/combination therapy, and limiting antibiotic resistance. Extensive and uncontrolled use of antibiotics has contributed to the increase in multi-drug resistant (MDR) and extensively-drug resistant (XDR) strains, which are difficult to treat, especially in cases of severe sepsis. In fact, P. aeruginosa is the fourth leading pathogen behind all deaths attributable to antibiotic resistance in high-income countries (Murray et al., 2022). Genetic characterization of P. aeruginosa bacteremia at advanced ages indicates a significant presence and association with fatal outcome of resistance genes blaGES, aadB, gyrA (T83I), parC (S87L), virulence gene exoS, multilocus sequence typing (MLST) ST235, O-antigen serotype O11 (Recio et al., 2021), strong biofilm producing (di Domenico et al., 2021), and non-motile strains (Gupte et al., 2021). Interestingly, recent prospective study indicates that carbapenem resistance is not significantly related to treatment failure, a fact likely related to the site of infection, host susceptibility, and clinical severity (Lee C. M. et al., 2022). Recent studies in patients have shown inconclusive about the benefit of the combination of antibiotics such as ceftazidime-avibactam against MDR and XDR strains (Corbella et al., 2022). Although ceftolozane/tazobactam is effective against complicated urinary tract infections and complicated intra-abdominal infections, univariate analyses reveal that treatment using this therapeutical combination is significantly associated with a successful management of the clinical presentation of sepsis (Bassetti et al., 2019). Additionally, early use of this combination in neutropenic patients has been shown to control progression of skin infection, suggesting a protective effect on further dissemination with or without sepsis (Coppola et al., 2020).

By translation, a recent in vivo study explored the efficacy of different antibiotics in mouse models of sepsis caused by P. aeruginosa. Although carbapenem combinations did not show improved efficacy against carbapenemase-producing P. aeruginosa, meropenem monotherapy showed promising in vivo efficacy against peritoneal sepsis (Herrera-Espejo et al., 2022). Interesting evidence from in vivo models reveals that peptidylarginine deiminase (PAD) type 2 deficiency (Pad2−/−) significantly improves survival in P. aeruginosa pneumonia-induced sepsis by attenuating acute lung injury (Wu Z. et al., 2020). Under the proposed mechanism, PAD2 deficiency enhances bacterial clearance by reducing caspase-1-dependent pyroptosis in bone marrow-derived macrophages. Thus, PAD2 is revealed as a promising molecular target that warrants further research.

Other experimental therapies have been tested alone or in combination with antibiotics in murine models and clinical assays. Because P. aeruginosa binds to host epithelial cells via pili and type-IV pili (T4P) are crucial for bacterial twitching, attachment, biofilm formation, and motility (particularly T4P containing PilA subunits; Zahedi bialvaei et al., 2021a), mAb against disulfide turn region of PilA (QA) and PilQ, alongside with clinically available antibiotics levofloxacin, ceftazidime, and gentamicin, showed a synergistic effect in the treatment of a mouse model of P. aeruginosa sepsis by preventing bacterial dissemination and increasing overall survival (Zahedi bialvaei et al., 2021b). Similarly, a case describing the use of a combination of antibiotics and a cocktail of two phages (PNM and 14–1) to attend an infection with an XDR strain secondary to liver transplantation in a septic toddler was deemed successful after confirming full clearance of P. aeruginosa from the bloodstream (van Nieuwenhuyse et al., 2022). Moreover, in vitro studies using the phage PNM have shown a synergistic effect in combination with suboptimal concentrations of colistin, aztreonam, or gentamycin against clinical isolates of P. aeruginosa (van Nieuwenhuyse et al., 2022).

6. Streptococcus pyogenes

Streptococcus pyogenes is a facultative anaerobe Gram-positive bacterium that strictly infects humans (Gera and McIver, 2013). Streptococcus pyogenes infections are highly contagious and range from pharyngitis, and skin or soft tissue (non-necrotizing) infection, to respiratory tract infection, pregnancy-associated infection, necrotizing fasciitis, and bacteremia with toxic shock syndrome (TSS; Walker et al., 2014).

6.1. Epidemiology

Recent analyses report an increasing incidence of S. pyogenes infections with a high case fatality in the older population (Shakoor et al., 2017; Meehan et al., 2018; Blagden et al., 2020; Vilhonen et al., 2020; Bläckberg et al., 2022; Thomson et al., 2022). The most prevalent form of clinical presentation of invasive S. pyogenes infection is bacteremia (75%), followed by focus without bacteremia (19%) and necrotizing fasciitis (7%; Meehan et al., 2018). Moreover, TSS is reported in 19% of bacteremia cases with an uneven distribution between adults (22.5%) and pediatrics (7.1%; Meehan et al., 2018), the latter figure reported higher in the United States (16.9%; Gaensbauer et al., 2018). Nevertheless, S. pyogenes bacteremia is significantly less represented (<8%) when compared to other pathogens (Ferreira et al., 2023; Tabah et al., 2023).

6.2. Pathogen factors

Until recently, the best described virulence factor of invasive S. pyogenes infection is the M protein, encoded by the emm gene and expressed on the bacterial surface. A recent Spanish report on emm diversity in pediatrics revealed clone emm1/ST28 as the most prevalent and the most consistently detected over the 12 years span of the report, followed by clones emm12/ST36-ST242 and emm6/ST382 (Sánchez-Encinales et al., 2019). This trend was echoed by findings of a retrospective cohort study in Sweden, which included 286 samples from adult patients collected in a 4-year period (Bläckberg et al., 2022) and a prospective German nationwide cohort study, which included 719 isolates from patients of all ages collected in a 6-year period (Imöhl et al., 2017). A different pattern was observed in Finland where, in a recent cohort study spanning 12 years and focusing on women of childbearing age, emm28 showed as the most frequent type of S. pyogenes strain, displaying a significant association with delivery and puerperium-related infections leading to bacteremia (Gröndahl-Yli-Hannuksela et al., 2021). Other proposed virulence factors arising during invasive S. pyogenes disease include streptococcal superantigens speG, speH, speJ, and speK, which, in the presence of certain underlying comorbidities (i.e., diabetes, chronic skin lesions, liver dysfunction, and respiratory distress), modulate the risk of invasive S. pyogenes disease (Imöhl et al., 2017).

Evidence from in vivo studies highlight the relevance of non-canonical Tyr-phosphatase M5005_Spy_1476 as a molecular mediator for S. pyogenes pathogenesis, an enzyme reported to maintain this pathogen in a virulent state leading to increased subject mortality by modulating its ability for adherence and invasion of host cells, and for in vitro biofilm formation in a mouse model of sepsis (Kant and Pancholi, 2021). Similar evidence has been reported for predicted gene spy1343, which codes for an inferred 298-amino acid protein that belongs to the LysR family of DNA-binding transcriptional regulators. Interestingly, mice challenged with a mutant strain carrying a deletion of spy1343 exhibited a significant increase in mortality when compared to their control (WT) counterparts (Sitkiewicz and Musser, 2017). Explanation for this excess of virulence lies in the control of spy1343 over genes that participate in short-chain fatty acid metabolism, which have been linked to overall bacterial pathogenesis and overall virulence. Additional evidence from in vivo studies reveals that S. pyogenes virulence may be traced from a clinical standpoint by evaluating the pattern of leukocyte and platelet abundance. Multidimensional scaling of median values of absolute counts of such type of cells was able to discriminate clusters of virulence and disease progression over time with precision, using simple, routinary readouts in experimental infection using a small animal model. Thus, underscoring the potential and unprecedented diagnostic/prognostic value of computer science in human infection progression, particularly in sepsis (Loof et al., 2018; Table 1). A summary of the factors detailed in this section is listed in Table 2.

6.3. Host factors

Host immune responses during S. pyogenes sepsis has received modest attention in both in vivo and in vitro models. It has been proposed that vascular endothelial growth factor (VEGF) expressed in endothelial cells may promote antimicrobial response against S. pyogenes infection, as observed in vitro with human endothelial cells increasing lysosomal biogenesis and function and overall bacterial xenophagy against S. pyogenes through the activation of TFEB and its downstream genes (e.g., ATPV6 and LAMP1), and in vivo with VEGF treatment significantly increasing subject survival rate (Lu et al., 2022). Moreover, patients with severe invasive disease (sepsis, bacteremia, necrotizing fasciitis, and TSS) exhibit significantly lower serum levels of VEGF compared to those with non-invasive disease (Lu et al., 2022). Also relating to host immune response, TLR signaling plays an important role in early immune reactions against S. pyogenes. Nucleic acid detection by the endosomal receptor TLR13 mediates immune cell activation, expression of pro-inflammatory cytokines, and formation of ROS and reactive nitrogen species (RNS) against S. pyogenes in vitro. Mice defective in endosomal signaling (Unc93b1−/−) exhibited higher bacterial burden at sites of lesion and the spleen, and significantly increased systemic inflammation in a murine model of soft tissue infection. Therefore, endosomal TLR signaling may play an important role in activating antimicrobial responses at local infection sites and prevent systemic disease (Hafner et al., 2019). Several studies have reported a synergistic interaction for infection between S. pyogenes and pathogenic viruses of the respiratory tract (Brundage, 2006; Herrera et al., 2016), a fact made evident during the 1918 influenza pandemic (Morens and Fauci, 2007), the 2009 H1N1 influenza pandemic (Jean et al., 2010), and more recently, the 2019 SARS-CoV-2 pandemic (Khaddour et al., 2020). However, data on S. pyogenes superinfections are scarce and interactions with additional infective agents warrant further resource allocation and research (Turner, 2022). A summary of the factors detailed in this section is listed in Table 3.

6.4. Treatment

Empiric antimicrobial therapy typically initiates pending culture results to then be tailored accordingly. Penicillin monotherapy in the setting of high inoculum has been associated with treatment failure (Stevens et al., 1994). For this reason, adjunctive use of clindamycin is recommended for its strong association with lower mortality (OR = 0.44; Babiker et al., 2021). An increasing number of isolates with resistance to clindamycin and other macrolides have been consistently identified around the globe [e.g., the United States (DeMuri et al., 2017), Hungary (Gajdács et al., 2020), India (Jayakumar et al., 2022), and China (Lu et al., 2017)] with the surprising exception of Spain, where tetracycline, erythromycin, and clindamycin resistance rates declined between 2007 and 2020 (Villalón et al., 2023).

Owing to its incapacity for horizontal gene transfer, S. pyogenes resistance to β-lactam antibiotics is a feature considered rare (Hayes et al., 2020). However, a report by the Active Bacterial Core surveillance (US Centers for Disease Control and Prevention, CDC) has recently made the alarming discovery of a S. pyogenes strain (emm43.4/PBP2x-T553K) with increased β-lactam resistance (Chochua et al., 2022; Table 1). Similarly, a recent report from active surveillance in Israel described the emergence of an outbreak of a new MDR strain emm93.0 responsible for an unusually large number of invasive S. pyogenes infections, especially present in the bloodstream (Ron et al., 2022). These unprecedented findings underline the importance of population-based pathogen surveillance programs internationally. Nonetheless, there is consensus that S. pyogenes infections—even when invasive—are associated with a low attributable mortality, unless they are invasive and meet the criteria for TSS, for which cases the mortality rate can reach up to 44% (Schmitz et al., 2018).

7. Candida species sepsis

Invasive fungal infections are clinical manifestations of fungal infections different from superficial infections proven by culture and isolation from sterile sites such as deep tissue, cerebrospinal fluid, or blood (Donnelly et al., 2019).

7.1. Epidemiology

Candida species are the predominant cause of life-threatening invasive fungal infections in hosts with decreased defenses (e.g., immunocompromised individuals, patients who have endured invasive clinical procedures, or have experienced major trauma; Bongomin et al., 2017) and constitute the most common cause of fungal BSI (Pappas et al., 2016), a clinical condition that has experienced a significant and concerning increase over the last decade, as a retrospective cohort study comprising 465 candidemia episodes in Germany (Mohr et al., 2020) and a retrospective cohort study comprising 170 candidemia episodes in Switzerland (Battistolo et al., 2021) report. Although the latest report by the SENTRY Antifungal Surveillance Program carefully details different forms of invasive fungal infection, it does not present isolated data for fungal BSI (Pfaller et al., 2019). Nevertheless, recent observational data ratify Candida albicans as the leading species during fungal BSI and further expand the list with other non-albicans species [in hierarchical order: Candida parapsilosis, Candida glabrata, and Candida tropicalis (Doğan et al., 2020); Candida tropicalis, Candida parapsilosis, and Candida glabrata (Al-Musawi et al., 2021)]. However, in one study from Saudi Arabia (Aldardeer et al., 2020) and another from India (Lamba et al., 2021), Candida albicans was relegated to the second place, being Candida glabrata and Candida tropicalis the leading species for fungal BSI, respectively.

7.2. Pathogen factors

Candida species grow in yeast or filamentous (pseudohyphae and hyphae) morphologies and this morphology strongly correlates to its pathogenicity, revealing fungal programs of invasion, virulence, and overall versatility and capacity for adaptation (Lo et al., 1997; Bartie et al., 2004). For a formidable review on pathogen virulence factors and the immune response during Candida sepsis we strongly recommend consulting article by Patricio et al. (2019). One such factor is (1,3)-β-D-Glucan (BDG), a major structural component of the inner cell wall in Candida species, which not only serves as the main pathogen-associated molecular pattern that interacts with pattern recognition receptors on the host side but has also been implicated a prognostic value. Although without accuracy or performance test for comparison with other diagnostic methods, BDG candidemia has been recently identified as an independent protective factor from poor clinical outcome (Agnelli et al., 2019).

7.3. Host factors

Correspondingly, timely removal of central venous catheter has also been identified as an independent protective factor against mortality (Kutlu et al., 2022). Incidentally, delayed removal of central venous catheter during candidemia has been consistently identified as a risk factor for mortality in adults (Huang H. Y. et al., 2020; Lee et al., 2020), pediatrics (Lee W. J. et al., 2022), and neonates (Chen Y. N. et al., 2022). Other risk factors for adult mortality with great representation across quantitative multivariate reports are concomitant bacteremia (Lee et al., 2020; Pieralli et al., 2021; Zhong et al., 2022; Gebremicael et al., 2023), high SOFA score (Bienvenu et al., 2020; Huang H. Y. et al., 2020; Jung et al., 2020; Kutlu et al., 2022), presence of liver cirrhosis (González-Lara et al., 2017; Bartoletti et al., 2021; Battistolo et al., 2021; Meyahnwi et al., 2022), kidney dysfunction (Poissy et al., 2020; Mazzanti et al., 2021; Kutlu et al., 2022), and others summarized in Table 3 (Bassetti et al., 2020; Yoo et al., 2020; Kim et al., 2021). Particularly for early-age groups, additional risk factors for mortality include breakthrough candidemia (Lee W. J. et al., 2022), previous use of antibiotics for >2 weeks, persistent candidemia, and preterm gestation (<32 weeks; Eisi et al., 2022), placing the emphasis in the implementation and follow-up of protocols to properly manage neonatal care.

Chronic comorbidities appraised as compounded scores (i.e., Karnofsky Performance Status <70 and Charlson Comorbidity Index ≥4) were also found to increase the risk of mortality during candidemia (Bassetti et al., 2020; Yoo et al., 2020; Kim et al., 2021; Vázquez-Olvera et al., 2023). Mixed Candida/bacterial BSI is referenced to occur in 18–56% of candidemia cases (Bouza et al., 2013; Kim et al., 2013; Chen et al., 2020) and recent articles agree [20.5% of candidemias reported in (Zhong et al., 2020) and 29.7% of candidemias reported in (Lee E. H. et al., 2022)]. The most frequent bacteria isolated from the bloodstream were coagulase-negative Staphylococcus, followed by Klebsiella pneumoniae, and Staphylococcus aureus. As expected, mixed BSI poses an even more complex challenge to host responses and, although a significant increase in mortality would be expected, the only significant increments were seen in length of ICU stay and length of mechanical ventilation use (Zhong et al., 2020). Conversely, Candida BSI following admission and treatment for COVID-19 has been found to significantly shift the outcome of patients toward fatality, along increasing the utilization of mechanical ventilation, the need for central venous catheter and parenteral nutrition, and overall length of stay (Rajni et al., 2021; Kayaaslan et al., 2023). Interestingly, admission and treatment for COVID-19 was found to double the incidence rate of developing candidemia, as a retrospective cohort study report (Kayaaslan et al., 2021). Even more interestingly, candidemia was found in a significant portion of patients who underwent surgery during their treatment for COVID-19 and those with a history of corticosteroid use. In fact, prior corticosteroid use was identified as a significant risk factor for mortality with a strength of association (OR = 4.4) comparable to advanced age (≥65 years old, OR = 5.6) and presence of sepsis (OR = 7.6), as demonstrated by multivariate analyses. The detrimental effect of prior corticosteroid use is a novel finding that requires further research for its potential value as a prognostic tool at COVID-19 admission. Other predictors of mortality for COVID-19 patients with candidemia identified through multivariate analyses include increased length of stay, high levels of D-dimer, use of tocilizumab (Rajni et al., 2021), ECMO support (Alessandri et al., 2023), high SOFA score (Omrani et al., 2021), and presence of a central venous catheter (OR = 19.07; Kayaaslan et al., 2023).

Several approaches for prediction and prognosis have proposed different combinations of readouts to match and even surpass current prognostic tools. Of note, accordingly to the era of data science, a machine learning-based algorithm using a myriad of clinical variables as input was able to predict candidemia with an AUC of 87.4% (Ripoli et al., 2020), an extraordinary magnitude that outperforms not only classical stepwise multivariable logistic regressions performed in the same report but also other independent studies proposing different arrangement of variables, i.e., the delta neutrophil index (with an AUC of 80.4%; Park et al., 2020) and a multivariate conditional regression-based risk score (with an AUC of 76.8%; Poissy et al., 2020). Mortality has also been appraised as an outcome, with a composite score (consisting of a combination of the SOFA score and the Charlson Comorbidity Index) reported to outperform (AUC of 79%) the independent performance of its components (AUC of 77% for SOFA score, AUC of 69.7% for Charlson Comorbidity Index; Asai et al., 2021; Table 1). A summary of the factors detailed in this section is listed in Table 3.

7.4. Treatment

Treatment of Candida spp. involves prompt initiation of antifungal therapy with echinocandins, azoles, and amphotericin B formulations (Pappas et al., 2016). The echinocandin group includes caspofungin, anidulafungin, and micafungin, all of which are noncompetitive inhibitors of the production of BDG (Denning, 2003). Given their broad-spectrum efficacy against Candida spp., echinocandins are frequently used to treat candidemia and invasive candidiasis (Pappas et al., 2016). In fact, initial antifungal therapy with fluconazole has been found an independent predictor of mortality elevating the risk death by roughly 200% in a cohort study in Italy (Pieralli et al., 2021). However, corroboration of this effect was inconclusive in a subsequent independent cohort study conducted in France, which compared echinocandins and azoles as first-line antifungal therapy without reaching significance in multivariate analyses (Bienvenu et al., 2020). Aside from Candida auris, antifungal resistance is systematically led by non-albicans species in China (Zhang et al., 2020; Liu et al., 2021), South Korea (Kwon et al., 2021), Turkey (Guner Ozenen et al., 2023), Italy (Mazzanti et al., 2021), Thailand (Ngamchokwathana et al., 2021), and Saudi Arabia (Al-Dorzi et al., 2018), out of which, C. tropicalis represents the major contributor. Data on resistance/susceptibility would appear to draw a trend of inverse sensitivity between compounds of the echinocandin group and fluconazole, with C. albicans displaying higher figures of resistance to echinocandin compounds than non-albicans species and lower figures of resistance to azole compounds than non-albicans species (Al-Dorzi et al., 2018; Jung et al., 2020; Guner Ozenen et al., 2023). Nevertheless, it has been reported that empirical administration of high-dose liposomal amphotericin B (L-AmB) is associated with better management of fungal invasiveness, less ICU-acquired candidemia, less need for an antifungal agent additional to L-AmB, and ultimately a reduction in ICU mortality, emphasizing the feasibility and relative safety of a preemptive antifungal therapy strategy to combat bloodstream Candida colonization (Azoulay et al., 2017). Regardless of the advancements detailed insofar, this review emphasizes the knowledge gap in molecular factors of resistance for Candida species, particularly when compared to the bacterial agents of sepsis reviewed above.

7.5. Candida auris sepsis

Candia auris is a human pathogenic yeast first isolated in Japan in 2009 (Satoh et al., 2009) that has gained notoriety for its high potential for invasive BSI, high mortality rates, moderate preventability, difficult identification by conventional techniques, and its virtually complete resistance to azoles (Geremia et al., 2023). Prompted by the escalating number of countries worldwide reporting the detection of C. auris (Briano et al., 2022; Riera et al., 2022; Figure 1), along with similar concerns for other neglected non-bloodstream fungal infections, the WHO has issued its first global effort to systematically prioritize fungal pathogens, in which C. auris ranks as the second most threating fungus to human health [World Health Organization (WHO), 2022b]. For an impeccable and updated review on C. auris virulence factors, risk factors, and antifungal resistance, please consult review by Geremia et al. (2023). Notwithstanding the growing number of studies describing its many facets, in pragmatic terms what concerns about C. auris sepsis is its often misclassification [as C. famata, C. haemulonii, or Rhodotorula glutinis (Kathuria et al., 2015)] and its pattern of multidrug resistance (Gómez-Gaviria et al., 2023).

Because host response to sepsis is inextricably canonical and C. auris virulence is considered intrinsically low (Geremia et al., 2023), the strong points for C. auris clinical management are then relegated to source control (Hinrichs et al., 2022) and drug delivery. With environmental source control (Akinbobola et al., 2023) falling partially outside of the scope of clinical management and efforts for nosocomial containment being not dissimilar to other fungal agents, a cardinal condition for source control is then the ability for detection. If the resources for accurate and routinely detection are limited, then emphasis is shifted toward drug delivery. With resistance to current drugs on the rise (Shastri et al., 2020; Briano et al., 2022), measurement of clinical management outcomes is then shifted from hospital discharge toward mortality. With information on specific C. auris-case fatality rates being scarce (Geremia et al., 2023), the extent of mortality then falls under the domain of speculation. Thus, we reckon that increasing access to detection and encouraging the appraisal of adverse outcomes are crucial milestones to tackle C. auris, particularly in locations where resources and logistics for diagnosis are limited, and consequently supporting the measures taken by the WHO [World Health Organization (WHO), 2022b], which stem from the precautionary principle (Goldstein, 2001). Although considerable steps have been taken very recently toward elucidating its pathobiology using mouse models (Wurster et al., 2022) and improving detection by employing advanced mathematical models (Garcia-Bustos et al., 2020), the knowledge gap about this emerging pathogen is systematic and efforts to contain it require a multidisciplinary approach.

8. Conclusion

Sepsis represents a topic with a high level of complexity that extends beyond patient management and clinical efforts for containment. In this multidisciplinary inter-collaborative scenario, curation of selected evidence is paramount to guide transversal action. We recognize the inherent limitations of in vitro studies, the controversy surrounding the verisimilitude of administering LPS (Osuchowski et al., 2018) or using cecal ligation and puncture (CLP) (Deutschman et al., 2022) as animal models of sepsis, as well as the impossibility of calculating factual figures of incidence and mortality worldwide (Rudd et al., 2020). Nevertheless, we value them as steps toward an integrated effort to tackle complexity straightforward and comprehensively. Thus, a list of novel approaches and potential therapeutical targets that should be considered for further research is presented in Table 4.

Table 4

Approach/targetMechanismReference
E. coli
Bacterial cell membrane ompADeletion limits vascular permeability by reducing endothelial apoptosis and VE-Cadherin downregulation.McHale et al. (2018)
K. pneumoniae
Mushroom-derived β-glucansReduces bacterial load and improves physiological outcomes through dectin-1.Masterson et al. (2020)
Bergenin monohydrateReduces bacterial load and improves physiological outcomes by reducing ROS production, increasing cell viability, increasing levels of SOD and GSH, reducing bacterial load, reducing levels of IL-6, IL-1β, PGE2, and TNF-α, reducing MDA formation, reducing MPO content, and reducing lung leukocyte infiltration.Tang et al. (2021)
Inorganic compound AS101Reduces bacterial load and improves survival by modulating apoptosis and inflammation.Yang et al. (2021)
Membrane receptor TRAILReduces bacterial load and improves survival by modulating apoptosis and inflammation.Chen et al. (2019)
Adipose-derived mesenchymal stem cellsReduces bacterial load and improves physiological outcomes by reducing levels of TNF-α, IL-1β, and IL-6, and immune infiltration in the lung.Perlee et al. (2019)
Red blood cell membrane-coated PLGA nanoparticlesReduces bacterial load and improves survival by reducing levels of TNF-α, IL-1β, and IL-6.Liu et al. (2022)
Anti-K1-CPS antibodiesReduces bacterial load and improves survival by promoting bacterial phagocytosis by Kupffer cells.Diago-Navarro et al. (2017)
Blue lightReduces bacterial load and improves survival through activation of neural circuit signaling through a cholinergic anti-inflammatory pathwayGriepentrog et al. (2020)
Supplementation of SCFAReduces bacterial load and improves survival by increasing macrophage phagocytic capacity and pulmonary levels of IL-6 and TNF-α.Wu T. et al. (2020)
Acute phase protein PTX3Reduces bacterial load and improves survival by inducing expression of TNF-α, IL-1β, IL-6, and CXCL-1, limiting MPO levels and leukocyte counts, and protecting from tissue hemorrhage.Asgari et al. (2021)
Transcription factor HIF1αReduces bacterial load and improves physiological outcomes by limiting levels of pro-inflammatory cytokines while enhancing the release of IL-10 in the lung.Otto et al. (2021)
S. aureus
Antiplatelet drug ticagrelorReduces bacterial load and improves survival by extending protection from thrombocytopenia and protecting from organ damage.Sun et al. (2021)
P. aeruginosa
Regulator of α-ketoglutarate transport MifRDeletion improves survival by limiting leukocyte infiltration, TNF-α, IL-6, and IL-1β production, NLRP3 inflammasome activation, and tissue damage.Xiong et al. (2022)
Extracellular matrix degrading heparinase hepPDeletion reduces bacterial load and improves survival.Dzvova et al. (2018)
Endogenous H2SImproves survival by enhancing neutrophil recruitment and phagocytic activity.Renieris et al. (2021)
Peptidylarginine deiminase PAD2Knockout mice exhibit reduced bacterial load and improved survival by reducing caspase-1-dependent pyroptosis in macrophages.Wu W. et al. (2020)
Anti-PilQ-PilA DSL antibodiesReduces bacterial load and improves survival in combination with antibiotics.Zahedi bialvaei et al. (2021b)
PNM and 14–1 phageReduces bacterial load and shows successful in experimental therapy.van Nieuwenhuyse et al. (2022)
S. pyogenes
Non-canonical Tyr-phosphatase M5005_Spy_1476Deletion reduces bacterial load and improves survival.Kant and Pancholi (2021)
Predicted gene spy1343Deletion reduces survival.Sitkiewicz and Musser (2017)
Vascular endothelial growth factorAdministration improves survival.Lu et al. (2022)
Pattern recognition receptor TLR13Knockout mice exhibit limited macrophage IL-6 and NO2 production.Hafner et al. (2019)

Summary of potential therapeutical targets of interest for sepsis detailed in this review.

CXCL-1, CXC motif chemokine ligand 1; DSL, C-terminal disulfide loop; GSH, glutathione; HIF1α, hypoxia inducible factor 1 subunit α; IL, interleukin; K1-CPS, K1 serotype capsule polysaccharide; MDA, malondialdehyde; MPO, myeloperoxidase; NLRP3, NOD-like receptor family pyrin domain-containing 3; PAD2, peptidyl arginine deiminase type 2; PGE2, prostaglandin E2; PLGA, poly(lactic-co-glycolic acid); PTX3, pentraxin 3; ROS, reactive oxygen species; SCFA, short-chain fatty acids; SOD, superoxide dismutase; TLR13, toll-like receptor 13; TRAIL, tumor necrosis factor-related apoptosis-inducing ligand.

Transversal diversity of microorganism presentation in sepsis, from coinfection with multiple species to coexistence of multiple phylogroups, inextricably limits research conducted under the single-microorganism/single-strain approach right from its inception, for its reductionist nature. Notwithstanding the value in this frequent practice, this review makes clear that results emanating from integrative studies not only have the upper hand for describing reality but also are one step closer to clinical translation. An example of this is a very recent report identifying patterns of sepsis progression for most of the microorganisms described in this review using state-of-the-art genomics, transcriptomics, proteomics, and metabolomics, to make phylogenetic-oriented descriptions (Mu et al., 2023).

Indubitably, multidisciplinary advancement in basic, translational, and clinical research, is key to make progress filling the gap acknowledged by the World Health Organization (WHO) (2017) and endured yearly by millions around the globe.

Funding

This study was funded by Agencia Nacional de Investigación y Desarrollo de Chile (ANID) through Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) grants 3220565 (SG), 1191300 (CR), and 11200764 (FM-G) and The Millennium Institute on Immunology and Immunotherapy/ANID – Millennium Science Initiative Program – ICM-ANID “ICN2021_045”: Millennium Institute on Immunology and Immunotherapy (Program ICM-ANID “ICN2021_045”) (SB, AK, FS, CR, and FM-G).

Publisher’s note

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Statements

Author contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work, and have approved it for publication.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

    Glossary

  • APACHE II

    Acute physiology and chronic health evaluation II

  • AUC

    Area under the curve

  • AUROC

    Area under the receiver operating characteristic

  • BDG

    (1,3)-β-D-glucan

  • BSI

    Bloodstream infection

  • COVID-19

    Coronavirus disease 2019

  • CPS

    Capsule polysaccharide

  • ECMO

    Extracorporeal membrane oxygenation

  • ExPEC

    Extraintestinal E. coli

  • UPEC

    Uropathogenic E. coli

  • GSH

    Glutathione

  • HR

    Hazard ratio

  • HIF

    Hypoxia inducible factor

  • hvKp

    Hypervirulent K. pneumoniae

  • ICU

    Intensive care unit

  • IL

    Interleukin

  • LPS

    Lipopolysaccharide

  • MRSA

    Methicillin-resistant S. aureus

  • MSSA

    Methicillin-sensitive S. aureus

  • MDR

    Multi-drug resistant

  • NLRP3

    NOD-like receptor family pyrin domain-containing 3

  • OR

    Odds ratio

  • PVL

    Panton–valentine leukocidin

  • PAD2

    Peptidyl arginine deiminase type 2

  • PLGA

    Poly (lactic-co-glycolic acid)

  • PGE2

    Prostaglandin E2

  • ROS

    Reactive oxygen species

  • SARS-CoV-2

    Severe acute respiratory syndrome coronavirus 2

  • SPATE

    Serine protease autotransporters of Enterobacteriaceae

  • SCFA

    Short-chain fatty acid

  • SOD

    Superoxide dismutase

  • SOFA

    Sepsis organ failure assessment

  • TSS

    Toxic shock syndrome

  • TNF

    Tumor necrosis factor

  • VEGF

    Vascular endothelial growth factor

  • WHO

    World Health Organization

  • XDR

    Extensively-drug resistant

  • XLA

    X-linked agammaglobulinemia

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Summary

Keywords

sepsis, inflammation, immunology, microorganisms, diagnostics, prognosis, therapy

Citation

Gatica S, Fuentes B, Rivera-Asín E, Ramírez-Céspedes P, Sepúlveda-Alfaro J, Catalán EA, Bueno SM, Kalergis AM, Simon F, Riedel CA and Melo-Gonzalez F (2023) Novel evidence on sepsis-inducing pathogens: from laboratory to bedside. Front. Microbiol. 14:1198200. doi: 10.3389/fmicb.2023.1198200

Received

31 March 2023

Accepted

05 June 2023

Published

23 June 2023

Volume

14 - 2023

Edited by

Svetlana Khaiboullina, University of Nevada, Reno, United States

Reviewed by

Antonella Mencacci, University of Perugia, Italy; Javier Chinen, Baylor College of Medicine, United States

Updates

Copyright

*Correspondence: Sebastian Gatica, Felipe Melo-Gonzalez,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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