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METHODS AND KITS FOR PREDICTING OR ASSESSING THE SEVERITY OF
INFECTIONS CAUSED BY STAPHYLOCOCCUS AUREUS
FIELD OF THE INVENTION:
The present invention relates to methods and kits for predicting or assessing the severity of infections caused by Staphylococcus aureus. BACKGROUND OF THE INVENTION:
Staphylococcus aureus is one of the top three pathogens that cause community- acquired, healthcare-related nosocomial infections in humans. It lives as a commensal organism, but it can also infect the body at various sites. Diseases greatly differ, from skin lesions to invasive infections. Twenty to thirty percent of the healthy population is colonized with S. aureus in the nostrils (1), and a substantial percentage of S. aureus bacteremia originates from endogenous colonies from the nasal mucosa (2, 3). The clinical expression of sepsis covers a continuum of manifestations, with the most violent form termed "septic shock." In this state, vascular offense and systemic inflammation lead to endangered cardiac function and blood pressure drops that cause impaired oxygen delivery, organ failure, and death. Sepsis-related mortality and the lack of mitigating clinical approaches attest to our limited understanding of the complex host–S. aureus interactions. S. aureus features high transmissibility and elevated antibiotic resistance, and produces many virulence factors (4). To coordinate expression of its virulence genes during infection, S. aureus uses two-component systems, transcription factors (5), and regulatory RNAs (sRNAs) acting as either positive (6) or negative (7) virulence determinants. There are about 160 sRNAs compiled in the Staphylococcal Regulatory RNA (SRD) database (8). Although their functions are not well-explored, some sRNAs are known to regulate virulence factors. Quorum-sensing is mediated by the accessory gene regulator (agr), and RNAIII is the effector (9). Staphylococcal infection severity is based on host factors and bacterial pathogenesis (10). SUMMARY OF THE INVENTION:
The present invention relates to methods and kits for predicting or assessing the severity of infections caused by Staphylococcus aureus. In particular, the present invention is defined by the claims. DETAILED DESCRIPTION OF THE INVENTION:
Staphylococcus aureus is a commensal and a pathogen, and uncovering the identifying markers of the ‘colonization to disease' transition would be very useful. Several S. aureus small RNAs regulate virulence. The presence/absence and expression of eight sRNAs were investigated in 83 strains from 42 sepsis or shock patients, and 41 carriers. These isolates were characterized by MLST and spa typing and monitored for virulence and resistance. The sprB and sprC small RNAs are specific to clades. Six sRNAs had variable expression not correlated with patient clinical status. RNAIII expression, however, was lower in strains from shock patients than from colonizing strains. Noteworthy, when RNAIII was associated with SprD, colonizing strains were significantly discriminated from those from patients with bloodstream infections, including sepsis and shock. Isolates associated with colonization may have different sRNA and sRNA target expressions than disease isolates. Monitoring RNAIII and SprD expressions could inform about infection severity. Accordingly the first object of the present invention relates to a method of assessing of predicting or assessing severity of an infection caused by Staphylococcus aureus comprising quantifying the RNAIII expression level in bacteria recovered from a culture obtained from the subject, comparing the expression level quantified at step i) with a predetermined reference value and iii) detecting differential in the expression level quantified at step i) and the predetermined reference value is indicative of the severity of the infection. As used herein, a "subject" is an animal, preferably a mammal, more preferably a non- human primate, and most preferably a human. The terms "subject", "individual" and "patient" are used interchangeably herein. The term "Staphylococcus aureus" or "S. aureus" is understood in the following way. Staphylococcus aureus bacteria are normally found on the skin or in the nose of people and animals. The bacteria are generally harmless, unless they enter the body through a cut or other wound. Typically, infections are minor skin problems in healthy people. In some embodiments, the method of the present invention is particularly suitable for prediction or assessing a blood stream infection. As used herein, the term "bloodstream infection" refers to a disease wherein the infectious agent is present in the bloodstream of the The present invention is thus particularly suitable predicting whether a subject is at risk of having sepsis or septic shock. The term "sepsis" as used herein, means potentially life- threatening systemic infection that can arise from infections throughout the body, including infections in the blood, lungs, abdomen, and urinary tract, etc. It may precede or coincide with infections of the bone (osteomyelitis), central nervous system (meningitis), or other tissues. Sepsis can rapidly lead to shock, adrenal collapse, and disseminated intravascular coagulopathy (a life threatening bleeding condition) and death. Sepsis can begin with spiking fevers and chills, rapid breathing and heart rate, the outward appearance of being seriously ill. These symptoms can rapidly progress to shock with decreased body temperature (hypothermia), decreased blood pressure, confusion or other changes in mental status, and blood-clotting abnormalities. The term "septic shock" as used herein is a consequence of sepsis in which the systemic inflammatory response leads to the failure of vital organs' function (for example of the lungs as in ARDS). The term "culture" as used herein refers to any amount of sample obtained from the subject (e.g. a blood sample or a nostril sample) that has been mixed with culture media allowing growth of Staphylococcus aureus. Examples of culture media include Luria-Bertani media. In some embodiments, a blood culture is obtained when a subject has symptoms of a blood infection or bacteremia. Blood is drawn from a subject and put directly into a vessel containing the nutritional culture media. In some embodiments, the method of the present invention comprises quantifying the SprD expression in the bacteria. In some embodiments, the ratio between RNAIII expression level and SprD expression level indicates the severity of the infection caused by Staphylococcus aureus. As used herein, the term "RNAIII" has its general meaning in the art and refers to a gene of Staphylococcus aureus which is an archetype of RNA-mediated regulation of virulence gene. An exemplary nucleic acid sequence of RNAIII is shown by SEQ ID NO:1 or As used herein the term "SprD" has its general meaning in the art and refers to another gene encoding for a regulatory RNA of Staphylococcus aureus. An exemplary nucleic acid sequence of SprD is shown by SEQ ID NO:3 or SEQ ID NO:4. Typically the RNAIII or SprD expression level is determined by RT-PCR. Nucleic acids may be extracted from a sample by routine techniques such as those described in Diagnostic Molecular Microbiology: Principles and Applications (Persing et al. (eds), 1993, American Society for Microbiology, Washington D.C.). U.S. Pat. Nos. 4,683,202, 4,683,195, 4,800,159, and 4,965,188 disclose conventional PCR techniques. PCR typically employs two oligonucleotide primers that bind to a selected target nucleic acid sequence. Typically, the cDNA sample is prepared as follows. mRNA contained in the tumor tissue sample is extracted according to standard methods, for example using lytic enzymes or chemical solutions or extracted by nucleic-acid-binding resins following the manufacturer's instructions. Then cDNA synthesis is performed according to standard methods involving reverse transcriptase. In some embodiments, random hexamer primers (instead of gene specific primers) are used for the cDNA synthesis. Random hexamers primers are well known in the art and are typically commercially available from FISCHER. Primers useful in the present invention include oligonucleotides capable of acting as a point of initiation of nucleic acid synthesis within the target nucleic acid sequence. A primer can be purified from a restriction digest by conventional methods, or it can be produced synthetically. If the template nucleic acid is double-stranded (e.g. DNA), it is necessary to separate the two strands before it can be used as a template in PCR. Strand separation can be accomplished by any suitable denaturing method including physical, chemical or enzymatic means. One method of separating the nucleic acid strands involves heating the nucleic acid until it is predominately denatured (e.g., greater than 50%, 60%, 70%, 80%, 90% or 95% denatured). The heating conditions necessary for denaturing template nucleic acid will depend, e.g., on the buffer salt concentration and the length and nucleotide composition of the nucleic acids being denatured, but typically range from about 90° C. to about 105° C. for a time depending on features of the reaction such as temperature and the nucleic acid length. Denaturation is typically performed for about 30 sec to 4 min (e.g., 1 min to 2 min 30 sec, or 1.5 min). If the double-stranded template nucleic acid is denatured by heat, the reaction mixture is allowed to cool to a temperature that promotes annealing of each primer to its target sequence on the target nucleic acid sequence. The temperature for annealing is usually from about 35° C. to about 65° C. (e.g., about 40° C. to about 60° C.; about 45° C. to about 50° C.). Annealing times can be from about 10 sec to about 1 min (e.g., about 20 sec to about 50 sec; about 30 sec to about 40 sec). The reaction mixture is then adjusted to a temperature at which the activity of the polymerase is promoted or optimized, i.e., a temperature sufficient for extension to occur from the annealed primer to generate products complementary to the template nucleic acid. The temperature should be sufficient to synthesize an extension product from each primer that is annealed to a nucleic acid template, but should not be so high as to denature an extension product from its complementary template (e.g., the temperature for extension generally ranges from about 40° C. to about 80° C. (e.g., about 50° C. to about 70° C.; about 60° C.). Extension times can be from about 10 sec to about 5 min (e.g., about 30 sec to about 4 min; about 1 min to about 3 min; about 1 min 30 sec to about 2 min). Typically the primers are as follows: TATTGCTCCTTTTCGGGCTA (SEQ ID NO :5) ATTGATTTGGAAAGCGCAAA (SEQ ID NO :6) RNAIII PCR-Q AS GAAGGAGTGATTTCAATGGCACAAGATAT (SEQ ID NO:7) GAATTTTGTTCACTGTGTCGATAATCCATTT (SEQ ID NO:8) One or more of the nucleotides of the primer can be modified for instance by addition of a methyl group, a biotin or digoxigenin moiety, a fluorescent tag or by using radioactive nucleotides. A primer sequence need not reflect the exact sequence of the template. For example, a non-complementary nucleotide fragment may be attached to the 5 primer, with the remainder of the primer sequence being substantially complementary to the strand. Primers are typically labelled with a detectable molecule or substance, such as a fluorescent molecule, a radioactive molecule or any others labels known in the art. Labels are known in the art that generally provide (either directly or indirectly) a signal. The term "labelled" is intended to encompass direct labelling of the probe and primers by coupling (i.e., physically linking) a detectable substance as well as indirect labeling by reactivity with another reagent that is directly labeled. Examples of detectable substances include but are not limited to radioactive agents or a fluorophore (e.g. fluorescein isothiocyanate (FITC) or phycoerythrin (PE) or Indocyanine (Cy5)). PCR involves use of a thermostable polymerase. The term "thermostable polymerase" refers to a polymerase enzyme that is heat stable, i.e., the enzyme catalyzes the formation of primer extension products complementary to a template and does not irreversibly denature when subjected to the elevated temperatures for the time necessary to effect denaturation of double-stranded template nucleic acids. Generally, the synthesis is initiated at the 3 each primer and proceeds in the 5 direction along the template strand. Thermostable polymerases have been isolated from Thermus fiavus, T. ruber, T. thermophilus, T. aquaticus, T. lacteus, T. rubens, Bacillus stearothermophilus, and Methanothermus fervidus. Nonetheless, polymerases that are not thermostable also can be employed in PCR assays provided the enzyme is replenished. Typically, the polymerase is a Taq polymerase (i.e. Thermus aquaticus polymerase). The primers are combined with PCR reagents under reaction conditions that induce primer extension. Typically, chain extension reactions generally include 50 mM KCl, 10 mM Tris-HCl (pH 8.3), 15 mM MgCl2, 0.001% (w/v) gelatin, 0.5-1.0 µg denatured template DNA, 50 pmoles of each oligonucleotide primer, 2.5 U of Taq polymerase, and 10% DMSO). The reactions usually contain 150 to 320 µM each of dATP, dCTP, dTTP, dGTP, or one or more analogs thereof. The newly synthesized strands form a double-stranded molecule that can be used in the succeeding steps of the reaction. The steps of strand separation, annealing, and elongation can be repeated as often as needed to produce the desired quantity of amplification products corresponding to the target nucleic acid sequence molecule. The limiting factors in the reaction are the amounts of primers, thermostable enzyme, and nucleoside triphosphates present in the reaction. The cycling steps (i.e., denaturation, annealing, and extension) are preferably repeated at least once. For use in detection, the number of cycling steps will depend, e.g., on the nature of the sample. If the sample is a complex mixture of nucleic acids, more cycling steps will be required to amplify the target sequence sufficient for detection. Generally, the cycling steps are repeated at least about 20 times, but may be repeated as many as 40, 60, or even 100 times. Quantitative PCR is typically carried out in a thermal cycler with the capacity to illuminate each sample with a beam of light of a specified wavelength and detect the fluorescence emitted by the excited fluorophore. The thermal cycler is also able to rapidly heat and chill samples, thereby taking advantage of the physicochemical properties of the nucleic acids and thermal polymerase. In order to detect and measure the amount of amplicon (i.e. amplified target nucleic acid sequence) in the sample, a measurable signal has to be generated, which is proportional to the amount of amplified product. All current detection systems use fluorescent technologies. Some of them are non-specific techniques, and consequently only allow the detection of one target at a time. Alternatively, specific detection chemistries can distinguish between non- specific amplification and target amplification. These specific techniques can be used to multiplex the assay, i.e. detecting several different targets in the same assay. The majority of the thermocyclers on the market now offer similar characteristics. Typically, thermocyclers involve a format of glass capillaries, plastics tubes, 96-well plates or 384-wells plates. The thermocylcer also involve a software analysis. In some embodiments, the predetermined reference value is a threshold value or a cut- off value. Typically, a "threshold value" or "cut-off value" can be determined experimentally, empirically, or theoretically. A threshold value can also be arbitrarily selected based upon the existing experimental and/or clinical conditions, as would be recognized by a person of ordinary skilled in the art. For example, retrospective measurement of RNAIII expression level in properly banked historical subject samples may be used in establishing the predetermined reference value. The threshold value has to be determined in order to obtain the optimal sensitivity and specificity according to the function of the test and the benefit/risk balance (clinical consequences of false positive and false negative). Typically, the optimal sensitivity and specificity (and so the threshold value) can be determined using a Receiver Operating Characteristic (ROC) curve based on experimental data. For example, after determining the RNAIII expression in a group of reference, one can use algorithmic analysis for the statistic treatment of the measured expression levels of the gene(s) in samples to be tested, and thus obtain a classification standard having significance for sample classification. The full name of ROC curve is receiver operator characteristic curve, which is also known as receiver operation characteristic curve. It is mainly used for clinical biochemical diagnostic tests. ROC curve is a comprehensive indicator that reflects the continuous variables of true positive rate (sensitivity) and false positive rate (1-specificity). It reveals the relationship between sensitivity and specificity with the image composition method. A series of different cut-off values (thresholds or critical values, boundary values between normal and abnormal results of diagnostic test) are set as continuous variables to calculate a series of sensitivity and specificity values. Then sensitivity is used as the vertical coordinate and specificity is used as the horizontal coordinate to draw a curve. The higher the area under the curve (AUC), the higher the accuracy of diagnosis. On the ROC curve, the point closest to the far upper left of the coordinate diagram is a critical point having both high sensitivity and high specificity values. The AUC value of the ROC curve is between 1.0 and 0.5. When AUC>0.5, the diagnostic result gets better and better as AUC approaches 1. When AUC is between 0.5 and 0.7, the accuracy is low. When AUC is between 0.7 and 0.9, the accuracy is moderate. When AUC is higher than 0.9, the accuracy is quite high. This algorithmic method is preferably done with a computer. Existing software or systems in the art may be used for the drawing of the ROC curve, such as: MedCalc 9.2.0.1 medical statistical software, SPSS 9.0, ROCPOWER.SAS, DESIGNROC.FOR, MULTIREADER POWER.SAS, CREATE- ROC.SAS, GB STAT VI0.0 (Dynamic Microsystems, Inc. Silver Spring, Md., USA), etc. In particular, the lower is the RNAIII expression level, the higher is the severity of the infection. In particular, the lower is the ratio between the RNAIII expression level and the SprD expression, the higher is the severity of the infection. Once the subject is at risk of having sepsis or septic shock, an antibiotic treatment may be administered. Representative antibiotics that may be useful in the present invention include penicillinase-resistant penicillins, cephalosporins and carbapenems. In some embodiments, the antibiotic is selected from the group consisting of aminoglycosides, beta lactams, quinolones or fluoroquinolones, macrolides, sulfonamides, sulfamethaxozoles, tetracyclines, streptogramins, oxazolidinones (such as linezolid), rifamycins, glycopeptides, polymixins, lipo-peptide antibiotics. Typically beta lactames include 2-(3-alanyl)clavam, 2- hydroxymethylclavam, 7-methoxycephalosporin, epi-thienamycin, acetyl-thienamycin, amoxicillin, apalcillin, aspoxicillin, azidocillin, azlocillin, aztreonam, bacampicillin, blapenem, carbenicillin, carfecillin, carindacillin, carpetimycin A and B, cefacetril, cefaclor, cefadroxil, cefalexin, cefaloglycin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefbuperazone, cefcapene, cefdinir, cefditoren, cefepime, cefetamet, cefixime, cefinenoxime, cefinetazole, cefminox, cefmolexin, cefodizime, cefonicid, cefoperazone, ceforamide, cefoselis, cefotaxime, cefotetan, cefotiam, cefoxitin, cefozopran, cefpiramide, cefpirome, cefpodoxime, cefprozil, cefquinome, cefradine, cefroxadine, cefsulodin, ceftazidime, cefteram, ceftezole, ceftibuten, ceftizoxime, ceftriaxone, cefuroxime, cephalosporin C, cephamycin A, cephamycin C, cephalothin, chitinovorin A, chitinovorin B, chitinovorin C, ciclacillin, clometocillin, cloxacillin, cycloserine, deoxy pluracidomycin B and C, dicloxacillin, dihydro pluracidomycin C, epicillin, epithienamycin D, E, and F, ertapenem, faropenem, flomoxef, flucloxacillin, hetacillin, imipenem, lenampicillin, loracarbef, mecillinam, meropenem, metampicillin, meticillin (also referred to as methicillin), mezlocillin, moxalactam, nafcillin, northienamycin, oxacillin, panipenem, penamecillin, penicillin G, N, and V, phenethicillin, piperacillin, povampicillin, pivcefalexin, povmecillinam, pivmecillinam, pluracidomycin B, C, and D, propicillin, sarmoxicillin, sulbactam, sultamicillin, talampicillin, temocillin, terconazole, thienamycin, andticarcillin. Typically, quinolones include nalidixic acid, cinoxacin, oxolinic acid, flumequine, pipemidic acid, rosoxacin, norfloxacin, lomefloxacin, ofloxacin, enrofloxacin, ciprofloxacin, enoxacin, amifloxacin, fleroxacin, gatifloxacin, gemifloxacin, clinafloxacin, sitafloxacin, pefloxacin, moxifloxacin, and trovafloxacin. Dosages of these antibiotics are well known in the art. See, e.g., MERCK MANUAL OF DIAGNOSIS AND THERAPY, Section 13, Ch. 157, 100th Ed. (Beers & Berkow, eds., 2004). The invention will be further illustrated by the following figures and examples. However, these examples and figures should not be interpreted in any way as limiting the scope of the present invention. FIGURES:
Figure 1: RNAIII and an ‘RNAIII-SprD' combination discriminate the
colonizing strains from patients with BSI. Monitoring of RNAIII expression by qPCR at
the early exponential growth phase in 61 strains (Table 2, asterisks). The RNAIII expression levels were divided into two sets (carrier versus infectious; A) or three sets (carrier, sepsis, and shock; B). Differing RNAIII expression levels detected in colonized and infected individuals were statistically significant (A) (p = 0.035 using the Mann-Whitney U test), especially among the strains isolated from colonized individuals and from infected shock patients (B) (p = 0.017 using the Mann-Whitney U test). Combining the expression of RNAIII and SprD allow discriminating the carrier versus infectious (C) at a p value of 0.0065, using the Mann-Whitney U test (The data are considered highly significant for p values ≤0.01, **), and also distinguishing carriage from sepsis (p value of 0.018) and carriage from shock (p value of 0.025). Inset: ROC analysis showing the discrimination of carriage from infectious strains when using RNAIII and SprD. For each data set, medians are represented as horizontal bars. Using the comparative Ct method, the amount of RNAIII was normalized against tmRNA expression and referred to the methicillin-susceptible S. aureus colonization control strain L102. The data presented by each point are the means of three independent Figure 2: Sbi expression levels in Staphylococcus aureus strains isolated from
bloodstream infections and asymptomatic carriers. (A) Sbi protein expression levels in 61
strains monitored during the early exponential growth phase and isolated by Western blots from carriers, patients with sepsis, and patients with shock. The protein sample from strain 19 was loaded on each gel and used as an internal control to prevent intensity variations of the bands between each experiment. The Sbi protein levels were divided into two sets (carrier and infectious strains; B) (p value of 0.057, Mann-Whitney U test) or into three (asymptomatic carriers, sepsis, and shock; C) (p value of 0.04, Mann-Whitney U test). D) SaeR, a positive regulator of the Sbi protein, was monitored by Western blots (p value of 0.04, Mann-Whitney U test). These experiments were performed in triplicate. For each set of data, medians are indicated with horizontal bars. To exclude loading variations between samples, the values were normalized against total protein levels. EXAMPLE:
Material & Methods:
Staphylococcus aureus isolates and sample collection
Clinical isolates were obtained from a prospective study of all patients diagnosed with S. aureus bloodstream infection (BSI) in 2006 at the Rennes University Hospital, a tertiary referral hospital in Western France. We selected patients with non-severe sepsis or septic shock (11). Patients with severe sepsis (sepsis with organ dysfunction or tissue hypo perfusion improving after fluid therapy and not requiring vasopressors) were not included, because their clinical status might too closely resemble non-severe sepsis or shock. To prevent other confounding factors, immunodeficient patients were excluded: those with HIV, congenital immunodeficiency, malignant hemopathy, organ or stem cell transplant recipients, and anybody under systemic corticosteroid therapy for over three weeks or undergoing another immunosuppressive treatment). Data were extracted from medical records. Nosocomial BSI was defined as either BSI diagnosed in a patient hospitalized for more than 48 hours before symptom onset, or as BSI in a patient on chronic hemodialysis or peritoneal dialysis. For each patient, the Charlson's co-morbidity index and the Simplified Acute Physiology Score (SAPS II) at admission were calculated (12). Also collected were 41 isolates from asymptomatic carriers, including 23 Rennes medical students, 7 healthcare workers sampled during their medical visit at a hospital in Lausanne, Switzerland, and 11 isolates from the National Reference Laboratory for Staphylococci in Lyon, France. The study was validated by the Rennes University Hospital's review board. Multilocus sequence typing (MLST) and spa typing
spa typing was performed with spa-1113f and spa-1514r. The sequences were determined with a BigDye Terminator v3.1 cycle sequencing kit and a 3730xl DNA analyzer. The spa repeats and types were determined using BioNumerics and Ridom Spa Server. spa types with similar profiles were grouped within similar lineages. MLST was performed according to (13). The PCR products were sequenced using a 3730xl DNA analyzer, and the sequence types (STs) were determined using BioNumerics and the MLST database. MecA1 and MecA2 primers were used to amplify a 1102-bp gene fragment to check for the presence of mecA. Isolates were screened for tst and pvl by real-time PCR. PCR was used to detect sprA1/2, sprB, sprC, sprD, sprX, ssrA, 6srna, and rsaE. All PCR products were analyzed by 2% agarose gel electrophoresis. Bacterial cultures, RNA isolation, and expression analysis
S. aureus strains were grown in Luria-Bertani media then harvested. The cells were pelleted and dissolved into 33mM sodium acetate, 17mM SDS, 1mM EDTA at pH5.5 together with glass beads and included in a Fast Prep apparatus. RNA extractions were performed by water-saturated phenol pH5. RNAs were precipitated and ethanol washed. Northern blots were done by loading 10µg of total RNA onto 8M urea 8% PAGE gels. The gels were blotted onto nylon membranes at 30V for 1.5h using 0.5x Tris-HCl borate and EDTA. RNA markers were used. Prehybridization and hybridization were performed in ‘ExpressHyb' using 5′-γ32PDNAs. Signals were detected with a phosphorimager and quantified. sRNA expression levels in the strains were monitored by quantitative PCR. cDNAs were produced using a High-Capacity cDNA Reverse Transcription Kit. Using the comparative CT method, the sRNA count was normalized against both transfer-messenger RNA and the L102 reference strain. Bacterial protein extracts and Western blots
To prepare the protein extracts, bacteria were grown until the indicated OD at A600nm. The cells were pelleted for 10min at 4°C (8000g) and suspended into a lysis buffer (10mM Tris-HCl pH 7.5, 20mM NaCl, 1mM EDTA, and 5mM MgCl2) in the presence of a protease inhibitor cocktail tablet containing 0.1 mg/mL lysostaphin. Each pellet was dissolved in 1x Laemmli with 10% ß-mercaptoethanol and heated at 90° C for 5 min. Samples were separated onto 8% SDS–PAGE gels and transferred to polyvinylidene fluoride membranes at 100V for 1h. Membranes were blocked in a tris-buffered saline (TBS) containing 5% milk. The Sbi protein was visualized using anti-Sbi antibodies, as previously described (14), and the SaeR protein by anti-SaeR antibodies (gift from Pr T. Bae, Indiana Univ Northwest, USA). Incubation with primary anti-Sbi antibodies (diluted 1:10000) or anti-SaeR (diluted 1/5000) was performed at room temperature for 2h. After incubation for 1h with the anti-rabbit IgG peroxidase-conjugated secondary antibodies, the blots were washed in TBS 0.05% Tween. They were developed in ECL Western blotting detection reagent and exposed on an ImageQuant LAS4000. Quantifications were performed with ImageQuant. Sbi protein or SaeR protein amounts were normalized against the total proteins. All statistical tests and graphical representations were done using GraphPad Prism software. Quantitative values were compared using the Mann-Whitney U test. A p value<0.05 was considered significant Results:
Characteristics of patients with S. aureus BSI
Forty-two patients with septic shock (n=17) and non-severe sepsis (n=25) were included in this study, and their clinical characteristics are described in Table 1. When compared to patients with septic shock, patients with non-severe sepsis were more likely to suffer from nosocomial BSI (p = 0.02), with a lower SAPS-II score (p=0.01), and a lower mortality (9% vs. 41.2%). Mortality was also significantly higher in patients with septic shock than in patients with non-severe sepsis: 41.2% of septic shock patients died as compared to 8% of non-severe sepsis ones (p=0.01). The clonal distribution of isolates was similar to that reported for France by the European Antimicrobial Resistance Surveillance System (15). Genotyping of strains originating from invasive diseases and from asymptomatic
We used MLST and spa typing to analyze 83 S. aureus isolates from blood cultures in BSI patients (n=42) or nasal samples from asymptomatic carriers (n=41). Our strain collection was obtained from healthcare professionals and medical students. Isolates clustered into 17 sequence types (STs), and these are shown on a phylogenetic tree. Of the 83 strains examined, none possessed genes encoding the Panton-Valentine leucocidin, associated with increased virulence of certain strains. Toxic shock syndrome toxin genes were detected in infectious and methicillin-susceptible S. aureus (MSSA) colonization strains belonging to ST5 and ST30. Among the 40 MSSA colonization strains, ST398 was the most common (n=7). Only 4 strains isolated from nasal carriers were methicillin-resistant S. aureus (MRSA) strains, and these belonged to ST8 and ST22. Most MRSA isolates were from ST8. Within our isolates, MRSA prevalence in healthy colonized healthcare workers and students was about 10%, compared to about 2% in the general population (16). The prevalence of MRSA in the infectious samples ( 21%), all were positive for mecA, was in-range for overall staphylococcal infections in France (17). We detected a predominance of the ST8 MRSA clone, which is the major French pandemic MRSA clone possessing sea and lukED. As reported (18), isolates from both BSI patients and carriers were evenly distributed among the STs. The genetic distances between the eight Group 1 STs (25.2±10.6) were stretched further than those between the nine Group 2 STs (20±7.4), which is in agreement with the earlier emergence of Group 1. Phylogenetic studies show that selected srna genes are specific to some clades
We used PCR to monitor the presence of a subset of srnas, targeting conserved sequences. Nine sRNAs were selected from the core and accessory genomes for examination of their distribution among the strains. They were chosen according to their presence in the accessory genome, since this implies variability in their presence/absence among the strains and their putative roles in virulence. We included the very few sRNAs ubiquitously detected in bacteria. Housekeeping tmrna and 6Srna, both detected in many bacterial species, were uncovered in all strains. All strains also contained rnaIII, which is the quorum-sensing effector (9). In addition, we uncovered five srnas expressed from pathogenicity islands (PIs): sprA (srn_3580), sprB (srn_3600), sprC (srn_3610), sprD (srn_3800), and sprX (srn_3820) (8). Due to the absence of the PIs phiSa3 and vsaβ, the five PI sRNAs were all detected in Group 2 STs, with none in Group 1. sprA was mostly absent in ST398 strains. sprB was lacking in all Group 1 strains and STs, as was sprC except for its systematic presence in ST398. sprD was detected in all but five strains from both groups, while sprX was detected in all strains except ST398. The fact that sprD and sprX were detected in most STs from both groups reflects the evolution of S. aureus, which has been punctuated by successive acquisitions and losses of genetic elements. Whereas sprD and sprX expression is meaningless, the presence of sprB and sprC among S. aureus infectious isolates illustrates S. aureus phylogeny, and indicates strain clonality. Strain genotyping showed that the sample reflected the diversity of staphylococcal infections at French national level. PI-encoded RNA expression differs between isolates obtained from BSI and from
asymptomatic carriers
Due to the low amounts (10-100 CFU/ml of blood) of bacteria recovered in patients with BSI (19). S. aureus isolates must be cultured before assessing sRNA expression. We selected 16 strains for subsequent analyses: 5 from nasal carriers, 6 from patients with sepsis, and 5 from patients with shock. Each sample contained strains from the same sequence types (ST5, ST8, and 25). We intentionally included strains belonging to the same ST (ST8), with strains from carriers, from sepsis and from shock patients. Also, strain selection was dictated by their availability in our collection. In these 16 isolates, sRNA expression levels were assessed at OD600nm=2 (early exponential), OD600nm=4 (late exponential) and OD600nm=8 (stationary) growth phases. The growth curves of all isolates are superimposable. The overall sRNA expression levels were compared among the infectious subgroups. In all strains, tmRNA was constitutively expressed, with no difference in expression among the strains. This is consistent with tmRNA's status as a housekeeping gene involved in ribosome rescue (20). 6SRNA was also constitutively expressed, with no differences in expression among the strains (not shown). The expression of the five Spr RNAs varies widely among the strains. sRNA even presented different expression profiles within the same ST, illustrating the complexity and variability of sRNA-driven gene regulation in S. aureus. SprD expression is heterogeneous in the asymptomatic carriers, but more homogeneous in infected patients. These results were inferred from Northern blots performed on three independent RNA extractions. Afterwards, the set of analyzed strains was nearly quadrupled to 61 isolates, with 21 from carriers, 23 from non-severe sepsis patients, and 17 from shock patients. Since Northern blots showed variations in SprD expression levels between the clinical sets, SprD expression was monitored by qPCR at OD600nm=2. Strains from asymptomatic carriers and sepsis patients expressed SprD heterogeneously, although SprD was expressed at low levels in all strains isolated from patients with septic shock. RNAIII and RNAIII/SprD expression levels discriminates the asymptomatic from
the BSI isolates
Another RNA implicated in S. aureus virulence is RNAIII (9), an archetype of RNA- mediated regulation of virulence genes. We therefore used qPCR to monitor RNAIII expression levels in the 61 isolates (Figure 1) during E growth phase. Significantly lower RNAIII levels were detected in strains isolated from BSI as compared to those from nasal carriers (p=0.035; Figure 1A). When comparing with commensal isolates, strains isolated from patients with shock displayed significantly lower RNAIII levels (p=0.017; Figure 1B). Average calculated RNAIII expression levels in infectious and asymptomatic individuals revealed a progressive decline, decreasing from carriage to non-severe sepsis to shock. Combining SprD with RNAIII substantially discriminate carriage from infections isolates (p=0.0065; Figure 1C), as well as carriage from sepsis (p=0.018) and carriage from shock (p=0.025; Figure 1D). Receiver operating characteristic (ROC) analyses were conducted to challenge the capacity of RNAIII and SprD differential expression to predict disease outcome. They support differences in RNAIII/SprD expression levels between colonization and infection (Figure 1C, inset). Sbi immune evasion protein expression levels distinguished isolates obtained from
asymptomatic carriers and from BSI
SprD and RNAIII negatively regulate the expression of the Sbi immune evasion molecule by blocking translation through pairings with the sbi mRNA, having a common target (6, 17). We did Western blots during the E growth phase using polyclonal antibodies to both intracellular and membrane proteins to monitor Sbi protein levels within the 61 strain isolates (Figure 2A). As reported (21), the molecular weight of the Sbi proteins detected from the various isolates was variable, around 50kDs. The amount of Sbi proteins fluctuated among strains (Figure 2A), but individual assessments revealed significantly lower protein levels in isolates originating from BSI than in those from carriers (p=0.04 between carriage and Discussion:
A set of 83 S. aureus strains of known genotypes was collected from asymptomatic carriers and from patients with either non-severe sepsis or septic shock. We used this collection for a prospective study of the presence or absence and expression of certain sRNAs located within the core and accessory genome. We also monitored the expression of Sbi, an immune evasion protein whose expression is negatively controlled by the sRNAs SprD and RNAIII (16) and SaeR, a positive regulator of Sbi. In clinical and carriage staphylococcal strains, the presence or absence of at least two PI-encoded srnas, sprB (srn_3600) and sprC (srn_3610), was indicative of the presence/absence of PIs and prophages. These PI-encoded srnas, particularly sprB, could be used as probes to improve genotyping studies. These sRNAs probably appear during the transition between ST22 and ST25. sprB is mostly absent in the Group 1 isolates. In some strains, we cannot rule out the theory that sequence variations among the srna genes may hamper their amplification. Molecular typing uncovers the genetic diversity of the strains, required for epidemiological surveillance of infections. Bacterial strain typing methods include DNA banding pattern, sequencing, and hybridization-based technologies. In the genomic era, bacterial genotyping has benefited from the emergence of novel locus-specific typing markers. srnas may be convenient probes for genotyping bacteria. This is because their overall content deviates considerably even among closely-related strains. Furthermore, since several srnas are encoded within mobile genetic elements (MGE), they reflect the acquisition/loss of MGE-encoded virulence factors and molecules that confer antibiotic resistance. To summarize, in phylogenetic studies, selected sRNAs located within accessory genomes may shed light on genomic diversity. The ability of patients to eradicate pathogens is a major determinant of infection outcome, and unfortunately patients with shock are often immunocompromised (22). Our data suggests that for staphylococcal BSI, one must also consider the attributes of the invading strains, including at least an immune evasion molecule and sRNAs RNAIII and SprD. Interestingly, the effector of the agr quorum-sensing system was expressed at significantly lower levels in strains isolated from patients with BSI, especially those with shock, than in asymptomatic carriers. Therefore, low RNAIII levels might pinpoint the S. aureus isolates which are responsible for BSI, even after isolation and culture. A significant percentage of S. aureus BSI is caused by agr-defective isolates (23). Our observations concur with the previous identification of inactivating mutations in the S. aureus agr virulence regulator which have been associated with worse outcomes in BSI patients (3). Coupling the expression levels of RNAIII and SprD could discriminate colonization from infection and also inform about bloodstream infection severity, but this must be confirmed in a larger set of clinical Since both SprD and RNAIII negatively control the expression of the Sbi immune evasion protein (16), we also monitored Sbi expression in the isolates. Sbi is an immune evasion factor (24) involved in the S. aureus-induced inflammatory response (25). Cell wall- anchored Sbi proteins act as essential components in S. aureus survival in the commensal state (26). The detection of more Sbi proteins in strains isolated from asymptomatic carriers than in those from septic patients is consistent with their importance during colonization and their role in immune tolerance. Sbi expression at the transcriptional level is positively regulated by SaeRS, made up of the histidin kinase SaeS and the response regulator SaeR (27). Sbi expression is controlled by at least three regulators: negatively by two sRNAs, and positively by a two-component system. This provides an explanation for why RNAIII and SprD levels are not inversely correlated to Sbi levels in the tested isolates. The carriage strains have higher SaeR levels than the sepsis strains, in agreement with the higher Sbi levels in the carriage versus the sepsis strains (Figure 2). The transition from commensalism to infection in S. aureus is an essential but complex question. From a clinical standpoint, most S. aureus infections derive from previous colonizers (28). When those strains switch to invasiveness, the transition may be related to regulatory network expression changes, including within sRNAs. Sequencing revealed the changes in the regulatory functions of strains recovered from an individual who started as a carrier then progressed to fatal BSI (29), suggesting that molecular evolution may be key in this process. Our results suggest that certain sRNAs from the gene regulatory network in a human pathogen will provide insights into commensal-to-pathogen transitions. They could be used as surrogate markers for the severity of staphylococcal infections, and as biomarkers for prophylaxis and monitoring of S. aureus infection. Comparing the frequency and expression of selected sRNAs in isolates which express, show colonization, or show S. aureus infection may be a way to uncover associations between sRNA expression and disease patterns. In vitro expression levels of some S. aureus sRNAs may not reflect their in vivo levels (30). Nevertheless, direct analysis of the expression levels of the bacterial sRNAs directly in BSI patients' blood is technically difficult due to the low bacterial levels collected. We compared sRNA expression from patient's fresh specimens versus the same isolates after being thawed from the freezer (maintained three weeks). There are no differences in RNAIII and SprD expression between the samples recovered directly from the patient versus those that were freeze. Subsequent investigations will address the functional and clinical relevance of RNAIII's and SprD's expression patterns. Broadening our pioneering investigations to include additional sRNAs may identify biomarkers that predict staphylococcal disease severity in infected patients. In addition to their roles as biomarkers, sRNAs could also be targets for innovative therapeutic approaches. Table 1: Clinical characteristics of 42 patients (25 with sepsis and 17 with septic
shock) admitted to the Rennes University Hospital (France) for S. aureus bloodstream infections. MRSA, methicillin-resistant Staphylococcus aureus; SAPS II, Simplified Acute Physiology Score; CRP, C Reactive Protein; PNN, polynuclear neutrophils . % Nosocomial bacteremia 80 % Diabetes mellitus % Endovascular device Delayed antibiotherapy % Infective endocarditis 14588 [4,700-33,000] 14977 [4,230-26,000] 0.84 REFERENCES:
Throughout this application, various references describe the state of the art to which this invention pertains. The disclosures of these references are hereby incorporated by reference into the present disclosure. van Belkum A, Verkaik NJ, de Vogel CP, Boelens HA, Verveer J, Nouwen JL, et al. Reclassification of Staphylococcus aureus nasal carriage types. J Infect Dis. 2009 Jun 15;199(12):1820-6. von Eiff C, Becker K, Machka K, Stammer H, Peters G. Nasal carriage as a source of Staphylococcus aureus bacteremia. Study Group. N Engl J Med. 2001 Jan Smyth DS, Kafer JM, Wasserman GA, Velickovic L, Mathema B, Holzman RS, et al. Nasal carriage as a source of agr-defective Staphylococcus aureus bacteremia. J Infect Dis. 2012 Oct;206(8):1168-77. Tong SY, Davis JS, Eichenberger E, Holland TL, Fowler VG, Jr. Staphylococcus aureus infections: epidemiology, pathophysiology, clinical manifestations, and management. Clin Microbiol Rev. 2015 Jul;28(3):603-61. Rosenstein R, Gotz F. What distinguishes highly pathogenic staphylococci from medium- and non-pathogenic? Curr Top Microbiol Immunol. 2013;358:33-89. Chabelskaya S, Gaillot O, Felden B. A Staphylococcus aureus small RNA is required for bacterial virulence and regulates the expression of an immune-evasion molecule. PLoS Pathog. 2010;6(6):e1000927. Romilly C, Lays C, Tomasini A, Caldelari I, Benito Y, Hammann P, et al. A non-coding RNA promotes bacterial persistence and decreases virulence by regulating a regulator in Staphylococcus aureus. PLoS Pathog. 2014 Mar;10(3):e1003979. Sassi M, Augagneur Y, Mauro T, Ivain L, Chabelskaya S, Hallier M, et al. SRD: a Staphylococcus regulatory RNA database. RNA. 2015 May;21(5):1005-17. Novick RP, Geisinger E. Quorum sensing in staphylococci. Annu Rev Genet. Powers ME, Bubeck Wardenburg J. Igniting the fire: Staphylococcus aureus virulence factors in the pathogenesis of sepsis. PLoS Pathog. 2014 Feb;10(2):e1003871. Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, et al. Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock, 2012. Intensive Care Med. 2013 Feb;39(2):165-228. Christensen S, Johansen MB, Christiansen CF, Jensen R, Lemeshow S. Comparison of Charlson comorbidity index with SAPS and APACHE scores for prediction of mortality following intensive care. Clin Epidemiol. 2011;3:203-11. Enright MC, Day NP, Davies CE, Peacock SJ, Spratt BG. Multilocus sequence typing for characterization of methicillin-resistant and methicillin-susceptible clones of Staphylococcus aureus. J Clin Microbiol. 2000 Mar;38(3):1008-15. Chabelskaya S, Bordeau V, Felden B. Dual RNA regulatory control of a Staphylococcus aureus virulence factor. Nucleic Acids Res. 2014 Apr;42(8):4847-58. Dauwalder O, Lina G, Durand G, Bes M, Meugnier H, Jarlier V, et al. Epidemiology of invasive methicillin-resistant Staphylococcus aureus clones collected in France in 2006 and 2007. J Clin Microbiol. 2008 Oct;46(10):3454-8. Robert J, Tristan A, Cavalie L, Decousser JW, Bes M, Etienne J, et al. Panton- valentine leukocidin-positive and toxic shock syndrome toxin 1-positive methicillin-resistant Staphylococcus aureus: a French multicenter prospective study in 2008. Antimicrob Agents Chemother. 2011 Apr;55(4):1734-9. Le Moing V, Alla F, Doco-Lecompte T, Delahaye F, Piroth L, Chirouze C, et al. Staphylococcus aureus Bloodstream Infection and Endocarditis--A Prospective Cohort Study. PLoS One. 2015;10(5):e0127385. Feil EJ, Cooper JE, Grundmann H, Robinson DA, Enright MC, Berendt T, et al. How clonal is Staphylococcus aureus? J Bacteriol. 2003 Jun;185(11):3307-16. Kiehn TE, Wong B, Edwards FF, Armstrong D. Comparative recovery of bacteria and yeasts from lysis-centrifugation and a conventional blood culture system. J Clin Microbiol. 1983 Aug;18(2):300-4. Keiler KC. Mechanisms of ribosome rescue in bacteria. Nat Rev Microbiol. 2015 May;13(5):285-97. Smith EJ, Visai L, Kerrigan SW, Speziale P, Foster TJ. The Sbi protein is a multifunctional immune evasion factor of Staphylococcus aureus. Infect Immun. 2011 Sep;79(9):3801-9. Hotchkiss RS, Monneret G, Payen D. Immunosuppression in sepsis: a novel understanding of the disorder and a new therapeutic approach. Lancet Infect Dis. 2013 Mar;13(3):260-8. Painter KL, Krishna A, Wigneshweraraj S, Edwards AM. What role does the quorum-sensing accessory gene regulator system play during Staphylococcus aureus bacteremia? Trends Microbiol. 2014 Dec;22(12):676-85. Burman JD, Leung E, Atkins KL, O'Seaghdha MN, Lango L, Bernado P, et al. Interaction of human complement with Sbi, a staphylococcal immunoglobulin-binding protein: indications of a novel mechanism of complement evasion by Staphylococcus aureus. J Biol Chem. 2008 Jun 20;283(25):17579-93. Gonzalez CD, Ledo C, Giai C, Garofalo A, Gomez MI. The Sbi Protein Contributes to Staphylococcus aureus Inflammatory Response during Systemic Infection. PLoS One. 2015;10(6):e0131879. Foster TJ, Geoghegan JA, Ganesh VK, Hook M. Adhesion, invasion and evasion: the many functions of the surface proteins of Staphylococcus aureus. Nat Rev Microbiol. 2014 Jan;12(1):49-62. Rogasch K, Ruhmling V, Pane-Farre J, Hoper D, Weinberg C, Fuchs S, et al. Influence of the two-component system SaeRS on global gene expression in two different Staphylococcus aureus strains. J Bacteriol. 2006 Nov;188(22):7742-58. Wertheim HF, Melles DC, Vos MC, van Leeuwen W, van Belkum A, Verbrugh HA, et al. The role of nasal carriage in Staphylococcus aureus infections. Lancet Infect Dis. 2005 Dec;5(12):751-62. Young BC, Golubchik T, Batty EM, Fung R, Larner-Svensson H, Votintseva AA, et al. Evolutionary dynamics of Staphylococcus aureus during progression from carriage to disease. Proc Natl Acad Sci U S A. 2012 Mar 20;109(12):4550-5. Song J, Lays C, Vandenesch F, Benito Y, Bes M, Chu Y, et al. The expression of small regulatory RNAs in clinical samples reflects the different life styles of Staphylococcus aureus in colonization vs. infection. PLoS One. 2012;7(5):e37294. Cooper JE, Feil EJ. The phylogeny of Staphylococcus aureus - which genes make the best intra-species markers? Microbiology. 2006 May;152(Pt 5):1297-305. 1. A method of assessing of predicting or assessing severity of an infection caused by Staphylococcus aureus comprising quantifying the RNAIII expression level in bacteria recovered from a culture obtained from the subject, comparing the expression level quantified at step i) with a predetermined reference value and iii) detecting differential in the expression level quantified at step i) and the predetermined reference value is indicative of the severity of the infection. 2. The method of claim 1 for predicting or assessing severity of a bloodstream infection caused by Staphylococcus aureus. 3. The method of claim 1 for predicting whether a subject is at risk of having sepsis or 4. The method of claim 1 wherein the RNAIII expression level is determined by RT- 5. The method of claim 1 which further comprises quantifying the SprD expression in the blood culture obtained from the subject. 6. The method of claim 1 wherein when the patient is at risk of having sepsis or septic shock, an antibiotic treatment is administered to the subject. ABSTRACT OF THE INVENTION
METHODS AND KITS FOR PREDICTING OR ASSESSING THE SEVERITY OF
INFECTIONS CAUSED BY STAPHYLOCOCCUS AUREUS
The present invention relates to methods and kits for predicting or assessing the severity of infections caused by Staphylococcus aureus. In particular the present invention relates to a method of assessing of predicting or assessing severity of an nfection caused by Staphylococcus aureus comprising quantifying the RNAIII expression level in bacteria recovered from a culture obtained from the subject, comparing the expression level quantified at step i) with a predetermined reference value and iii) detecting differential in the expression level quantified at step i) and the predetermined reference value is indicative of the severity of

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CURRICULUM VITAE VAN BELLE SIMON, JEAN-PIERRE Geboren: Ninove 28-10-1953 Huidige positie: Diensthoofd dienst Medische Oncologie Diensthoofd Palliatieve Zorgen Gewoon Hoogleraar Universiteit Gent, vakgroep Inwendige Ziekten, richting Medische Oncologie 32-9-3322692 secretariaat 32-9-3324298 dect 32-9-3326287 fax

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Tweed Heads & Coolangatta Sub Branch NEWSLETTER October/November, 2010 Edition Returned & Services Tweed Heads & Coolangatta League of Australia President: Joe Russell - 07 55344076 Secretary: Dr. John Griffin - 07 55361164 Treasurer: Norman Henstridge - 07 55344644 Pensions & Welfare Coordinator: Jenny. - 07 55361164