This prospective case-control study was performed in neonatal intensive care units (NICUs) at the Erzurum Regional Training and Research Hospital, Turkey, from February to December, 2014. Following ethics committee approval, written consent was obtained from all families, and newborns with gestational age ≥37 weeks and diagnosis of sepsis were included. Neonatal sepsis was defined as the presence of two or more of the following clinical features:
1. Respiratory compromise, including tachypnea, increased apnea, severe apnea, increased ventilation, or desaturation,
2. Cardiovascular compromise or hypotension,
3. Metabolic changes, including hypothermia, feeding intolerance, glucose instability, or metabolic acidosis,
4. Neurological changes, including lethargy, hypotonia, or decreased activity.
In addition, the following previously validated hematological criteria were also used as indicators of sepsis:
1. An absolute neutrophil count (ANC) of <7,500 or >14,500 cells/mm3,
2. An immature/total neutrophil ratio > 0.20, and
3. A platelet count of <150,000 cells/mm3.
Infants with positive cultures were diagnosed with confirmed sepsis, while those with negative culture results but a positive clinical septic picture with two or more of the hematological and two or more of the clinical features detailed above were categorized as suspected sepsis 1,5.
Exclusion criteria consisted of the presence of major congenital abnormalities, serious congenital heart diseases, or congenital metabolic diseases.
Sixty-seven infants were enrolled in this study. The patient group included 40 babies with diagnosis of sepsis. Twenty-seven randomly selected age- and we-ight-matched babies, with no medical problems and gestational age over 37 weeks, brought in for routine controls, were enrolled in the control group. Data including demographic characteristics, antenatal, prenatal and postnatal history, physical examination findings (including vital signs), routine blood tests, culture results, and treatment of each patient at baseline and during follow-up were recorded.
Concurrently with routine investigation including complete blood count, C-reactive protein, serum biochemical tests, and arterial blood gases before the start of treatment, blood samples for TCRs analysis were collected and stored in nonadditive EDTA-containing vacutainer tubes at -80° C until analyis.
Genomic DNA was extracted using a MagNA Pure Compact Nucleic Acid Isolation Kit (Roche Applied Science, Mannheim, Germany). We examined frequencies of singlenucleotide polymorphisms (SNPs) in TLRs and focused on two cosegregating SNPs, Pro631His (rs5743704) and Arg753Gln (rs5743708), within the gene encoding TLR2, and two cosegregating SNPs Asp299Gln (rs4986790) and Thr399Ile (rs4986791) within the gene encoding TLR4. Genotyping was carried out using LightSNiP typing assay (TIB-MolBiol, Berlin, Germany) by analyzing the melting curves with the LightCycler 480 II system (Roche Applied Science, Mannheim, Germany). Samples were set up in a total volume of 20 ml, containing 5 ml of DNA solution, 2 ml of FastStart DNA Master HybProbe (Roche Diagnostics, Mannheim, Germany), 2 ml of LightSNiP typing assay (TIB-MolBiol, Berlin, Germany), 1.6 ml of 25 mM MgCl2, and 9.4 ml of distilled H2O. The cycling conditions were initial denaturation at 95° C for 10 min, followed by 45 cycles of denaturation at 95° C for 10 sec, annealing at 60° C for 10 s, and extension at 72° C for 15 sec. Fluorescence was monitored at the end of each annealing phase at 60° C. After completion of the PCR, a melting curve of the amplification products was plotted by denaturation at 95° C for 20 sec. The sample was held at 40° C for 10 sec, and then slowly heated to 80° C with a ramp rate of 0.1° C/sec and continuous fluorescence acquisition. The four polymorphisms were determined using a commercially available LightSNiP assay according to the manufacturer’s instructions.
The Statistical Packages for the Social Sciences (SPSS) version 20 (SPSS, Inc., Chicago, IL) was used for statistical analyses. For descriptive statistics, mean± standard deviation for normally distributed and median (minimum-maximum) for non-normally distributed variables were used. In addition to descriptive methods, the independent-samples T-test was used to assess changes between variables with normal distribution. The Mann Whitney U test was used to assess changes between variables with non-normal distribution. Yates continuity correction (Yates-corrected chi square) test was used to compare qualitative data. Spearman’s correlation analysis was used to evaluate correlation between variables. Significance was set at p <0.05.