Sex-specific cytokine responses and neurocognitive outcome after blood transfusions in preterm infants.

BACKGROUND: The objective of this study was to determine sex-specific differences in inflammatory cytokine responses to red blood cell (RBC) transfusion in preterm infants in the neonatal period and their relationship to later neurocognitive status.
METHODS: Infants with a birth weight <1000 g and gestational age 22-29 weeks were enrolled in the Transfusion of Prematures (TOP) trial. The total number of transfusions was used as a marker of transfusion status. Nineteen cytokines and biomarkers were analyzed from 71 infants longitudinally during the neonatal period. Twenty-six infants completed the Bayley Scales of Infant & Toddler Development, 3rd Edition (Bayley-III) at 12 months' corrected age.
RESULTS: Nine cytokine levels were significantly elevated in proportion to the number of transfusions received. Of those, one cytokine showed a sex-specific finding (p = 0.004): monocyte chemoattractant protein-1, MCP-1, rose substantially in females (8.9% change per additional transfusion), but not in males (-0.8% change). Higher concentrations of MCP-1 exclusively were associated with worse Bayley-III scores: decreased cognitive raw scores (p = 0.0005) and motor scaled scores (p < 0.0001).
CONCLUSIONS: This study provides evidence of a sex-specific difference in the inflammatory response to RBC transfusions during neonatal life, with MCP-1 levels rising only in females and inversely correlating with neurocognitive status at 12 months old. IMPACT: It is important to understand the risk factors for abnormal neurodevelopment in preterm infants, including anemia and RBC transfusion, in order to improve outcomes and provide potential targets for therapy. Our study investigates and provides the first evidence of sex-specific differences in inflammatory cytokine responses to RBC transfusions in preterm infants in the neonatal period, and their relationship to later cognitive outcomes. This study critically suggests that different transfusion thresholds may have a sex-specific effect on neurodevelopment: females have worse cognitive outcomes with increased number of transfusions, while males have worse outcomes with lower number of transfusions.

INTRODUCTION

Preterm infants are at risk for several long-term morbidities including deficits in the motor, sensory, cognitive, and behavioral domains,(1–7) suggesting that brain development is an area of vital importance in evaluating medical management of premature infants. One possible etiology of altered brain development that can be managed in the NICU is the degree of neonatal anemia and more specifically, its management: the red blood cell (RBC) transfusion. RBC transfusion is a common therapy for anemia in preterm infants in the first few weeks of life. Approximately 90% of infants with birth weights less than 1000 grams born in the United States receive at least one RBC transfusion.(8–10) But RBC transfusions in the preterm infant are not without risk, and the mechanisms by which RBC transfusions affect the developing preterm infant brain are not well understood.(11) Therefore, a lack of understanding of the optimal RBC transfusion strategy is a critical barrier to improving these infants’ neurodevelopmental outcome.

Recently, the Neonatal Research Network Transfusion of Prematures (TOP) trial published the findings that the main outcome of death or Neurodevelopmental Impairment (NDI), [defined as Cognitive Bayley II <85, Cerebral Palsy, or Vision impairment with acuity <20/200, or bilateral hearing deficits requiring amplification/cochlear implant] was not different in extremely low birth weight (ELBW) infants randomized to either a low or high hemoglobin threshold for RBC transfusions (12). Despite the overall negative finding on the primary outcome, it is important to highlight that the majority of the neurodevelopmental outcomes for premature birth are milder in severity than the level of NDI utilized in this trial. Deficits in executive function, visuomotor skills, intelligence quotients, language, and learning have been shown to occur in 50–70% of children born with extremely low birth weight. These children are also estimated to be four to six times more likely to exhibit attention-deficit symptoms than their term-born peers (13–15). Although clearly less severe than the NDI used as a primary outcome measure for the TOP trial, these less severe deficits can have lifelong, significant impacts on functioning, and should not be overlooked. Therefore, it is imperative to continue to investigate these neurodevelopmental outcomes in the context of prematurity and transfusion.

Perinatal inflammation due to infection is an established precursor to many later neurodevelopmental deficits in the preterm infant (16). Studies have consistently shown that perinatal infection and/or increased concentrations of inflammation-related proteins are associated with white matter damage in the brain (17–19). In pre-clinical models, increased pro-inflammatory cytokine concentrations lead to alterations in the blood-brain barrier, release of reactive oxygen species, and vascular dysfunction and may even sensitize the brain to secondary excitotoxic insults (20, 21). In human neonates, pro-inflammatory cytokine production and endothelial activation after RBC transfusion, often referred to as transfusion-related immunomodulation, have been proposed to underlie several neonatal morbidities (22, 23). It remains unclear if these transfusion-induced alterations in cytokine concentrations contribute to and exacerbate later adverse neurodevelopmental morbidities.

One vital aspect in the study of neurodevelopment of the preterm infant is sex-specific differences in outcomes. Our group recently reported on sex-specific effects of prematurity on infant brain morphology. We found that white matter was more vulnerable in females while gray matter was more vulnerable in males (24). We have also reported on long-term outcomes of differential transfusion of premature infants with females showing worse outcomes if transfused to maintain higher hemoglobin levels, and cerebral white matter being the most affected region (25). It is unknown what role inflammatory responses play in sex-specific outcomes of prematurity. Two potential factors could be that white matter in females is more vulnerable to inflammation, or that inflammatory processes are more robust in females.

Although several studies have shown increased serum cytokine concentrations in preterm infants after RBC transfusion (26–28), no study has evaluated whether these changes occur in a sex-specific fashion. The purpose of this study was to first compare inflammatory cytokine responses to RBC transfusion in preterm male and female neonates, and secondly, examine the relationship between cytokine levels early in life and later cognitive status at 12 months corrected age.

METHODS

Participants

The current study was carried out at the Neonatal Intensive Care Unit at the University of Iowa Stead Family Children’s Hospital. Infants were enrolled in the multicenter National Institute of Child Health and Human Development (NICHD) Neonatal Research Network Transfusion of Prematures, or TOP trial, a large two-armed randomized clinical trial comparing transfusion guidelines based on higher or lower hemoglobin thresholds in extremely low birth weight infants (29). Infants fulfilled the following inclusion criteria: (a) birth weight <1000 g and gestational age greater or equal to 22 weeks but less than 29 completed weeks, and (b) less than 48 hours of age. Exclusion criteria included: (a) considered nonviable by attending neonatologist, (b) cyanotic congenital heart disease, (c) parental opposition to transfusion of blood, (d) parents with hemoglobinopathy or congenital anemia, (e) fetal transfusion, (f) twin-to-twin transfusion syndrome, (g) isoimmune hemolytic disease, (h) severe acute hemorrhage, acute shock, sepsis with coagulopathy, or need for perioperative transfusion, (i) prior blood transfusion on clinical grounds beyond the first 6 hours of life. From the 99 eligible infants, those with NEC or sepsis were excluded (n= 25) as these inflammatory processes could potentially confound the results. Two infants received no RBC transfusions, and one infant had no cytokines drawn after transfusion (see Figure 1 for flow diagram of participants).

Figure 1.

CONSORT Flow Diagram of Study Participants

Transfusion, Blood Banking, and Sampling

A standard transfusion volume of 15 ml/kg was given according to criteria determined by the TOP trial protocol (29). All RBCs transfused were tested and screened according to the policies of the hospital’s blood bank. Blood samples used in this study were collected for clinically-indicated analyses only, by venous, arterial, or prewarmed heel capillary sampling, or indwelling umbilical catheters if present. Clinically-indicated blood samples were obtained according to NICU policy at least weekly for the first month, and were not timed in any prescribed way relative to the blood transfusions. Therefore, the risks of phlebotomy were minimized by coordinating phlebotomy for research purposes with phlebotomy for clinical purposes. Clinical blood samples were stored at 4 degrees Celsius and processed (plasma was separated) within 4 hours of sample collection time. Plasma samples were subsequently stored at −80 degrees Celsius until analysis. Secondary outcomes of the TOP trial, which included number of transfusions and numbers of donor exposures by RBC donors or other blood product, have been previously reported for infant participants in this study; there was no statistical difference in number of donor exposures between infants in the high- and low-hemoglobin threshold groups in the TOP trial (12).

All of the parents in this study agreed to have their infants’ scavenged blood assessed for cytokines and biomarkers. Samples for hemoglobin (Hb) and cytokine levels were obtained longitudinally throughout the NICU stay. Adequate blood samples (all left over from clinical samples) were obtained for all infants. Hb obtained directly prior to each transfusion – termed the pre-transfusion Hb (ptHb) – was used as a marker of the degree of anemia prior to transfusion in each infant. The cumulative number of transfusions up to the point of cytokine measurement was used in statistical analyses.

Three Meso Scale Diagnostic, LLC© multiplex kits were used for all cytokine measurements: V-PLEX Plus Proinflammatory Panel 1 Human Kit/Base Catalog#K15049G, V-PLEX Plus Vascular Injury Panel 2 Human Kit/Base Catalog#K15198G, and U-PLEX Biomarker Group 1 (hu) Assays/Base Catalog#K15067L. These kits made it possible to measure multiple cytokines using very small plasma samples (~25μL). The following 19 cytokines and endothelial markers were analyzed in the infant samples: interleukin-1 beta (IL-1β), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), interleukin-12 (IL-12), interleukin-13 (IL-13), interleukin-17 (IL-17), interleukin-18 (IL-18), interferon gamma-induced protein 10 (IP-10), monocyte chemoattractant protein 1 (MCP-1), interferon gamma (IFN-ϒ), tumor necrosis factor alpha (TNF-α), tumor necrosis factor beta (TNF-β), intercellular adhesion molecule 1 (ICAM-1), vascular cell adhesion molecule 1 (VCAM-1), and vascular endothelial growth factor (VEGF), and thrombopoietin (TPO).

Statistical Analysis

The first analysis evaluated the percentage change in cytokines directly after transfusion. The second analysis evaluated whether sex differentially predicted changes in cytokines. All cytokine measures showed skewed distributions and were log-transformed for analysis. A single cytokine determination was the unit of analysis. We employed repeated-measures regression analysis with the cumulative number of RBC transfusions as the primary independent variable, with adjustment for sex; birth weight; gestational age (GA) at birth; day of age; and ptHb within 24 hours preceding the most recent transfusion before the cytokine determination. The model allowed for interactions of sex with the independent variable (cumulative transfusions) and with the latter three covariates. We used a spatial power covariance structure to account for within-subject clustering, i.e., correlation between two data points decreasing geometrically with the number of days’ separation. To reduce the influence of extreme cytokine values we applied an iterative outlier-deletion algorithm, equivalent to robust regression with M-estimation using the Talworth weighting function. To compensate for multiple comparisons, we applied the Holm step-down procedure to calculate adjusted p-values and limit the familywise Type I error rate to 5% (probability of at least one false inference among the cytokines being evaluated).(30) We performed the adjustment separately for each covariate and interaction effect. We also calculated the false discovery rate (probability of at least one null effect occurring among those declared statistically significant) (31).

The Bayley Scales of Infant & Toddler Development, 3rd Edition (Bayley-III) were used to evaluate the relationship between cytokines early in life and later cognitive status. Infants in the current study returned for a follow-up visit at approximately 12 months’ corrected age for Bayley-III assessments of cognitive, motor, and language function. Serum cytokine concentrations during NICU stay were directly compared with Bayley-III scores at 12 months. Linear regression models were used to evaluate the association of mean log levels of the three cytokines which showed a sex-specific finding, in addition to the one additional cytokine which showed a trend in males, with Bayley-III scores at 12 months old. In order to reduce the influence of outliers in this small sample, as well as account for wide leverage points in the data, robust linear regression models with MM-estimations were used in these analyses. All analyses controlled for gestational age, birth weight, number of transfusions, and sex.

RESULTS

Table 1 shows the demographics of the 71 infant participants. There were no significant differences between males and females in gestational age, birth weight, number of transfusions, or chronological or corrected age at follow-up visit. For the 19 cytokine analyses, the number of samples per infant ranged between 5.2 and 11.0 (median 10.5), for a total sample number ranging between 301 and 775 per cytokine (median 746).

Table 1.

Demographics of Infant Participants (N=71)

	Mean (SD)	Range	P Value* (Male N=28, Female N=43)
Gestational Age, weeks	25.62 (1.54)	22.29 – 28.4	0.40
Birth weight, grams	718 (172)	279 – 1010	0.33
Number of transfusions	5.63 (2.89)	1 – 16	0.44
Pre-transfusion hemoglobin (ptHb)	10.24 (1.10)	7.70 – 12.33	0.06†
12-month chronological age	15.84 (0.75)	14.43 – 18.40	0.80
12-month corrected age	12.18 (0.83)	10.63 – 14.90	0.78

Testing for equal mean in males and females by Student t-test.

Mean ptHb for males:10.53 g/dL (SD = 1.13); Mean ptHb for females: 10.04 g/dL (SD 1.06)

Table 2 shows the percent change in serum cytokine concentrations per additional transfusion, for all infants. Eight cytokines had significantly changed serum concentrations associated with increasing number of transfusions: IL-8, TNF-β, IL-6, IP-10, IL-18, TPO, MCP-1, and IFN-ϒ, in addition to the endothelial marker sICAM-1. All of these cytokines increased after transfusion, with IL-6 by more than 10% per transfusion in both sexes. No cytokine decreased after transfusion.

Table 2.

Cytokine Levels over Course of RBC Treatment – Percent change per additional transfusion* (N=71)

Cytokine	% change ± SE, per cumul transfusion	p	Holm-Adjusted p	FDR
IL-8	9.5 ± 1.8	<0.0001	0.0000	0.0000
sICAM-1	8.1 ± 1.7	<0.0001	0.0000	0.0000
TNF-β	7.5 ± 1.6	<0.0001	0.0000	0.0000
IL-6	12.9 ± 3.3	<0.0001	0.0004	0.0001
IP-10	7.4 ± 2.4	0.001	0.0168	0.0043
IL-18	4.6 ± 1.7	0.005	0.0635	0.0144
TPO	3.8 ± 1.4	0.007	0.0853	0.0178
MCP-1	4.9 ± 1.9	0.007	0.0893	0.0177
IFN-ϒ	8.1 ± 4.1	0.03	0.3798	0.0729
IL-10	3.8 ± 2.2	0.08	0.7860	0.1493
IL-2	4.8 ± 3.2	0.12	1.0000	0.2052
TNF-α	1.8 ± 1.3	0.16	1.0000	0.2467
sVCAM-1	1.0 ± 0.8	0.21	1.0000	0.3111
VEGF	1.7 ± 2.0	0.38	1.0000	0.5151
IL-1β	4.0 ± 5.9	0.48	1.0000	0.6065
IL-13	−3.4 ± 7.4	0.64	1.0000	0.7619
IL-4	−1.1 ± 5.1	0.83	1.0000	0.9282
IL-12	−0.2 ± 3.0	0.95	1.0000	0.9977
IL-17	0.0 ± 2.2	0.99	0.9871	0.9871

Adjusted for Sex, Gestational Age (GA) at birth, Birth Weight, Age, and pre-transfusion hemoglobin (ptHb)

In Order of Significance with Holm Step-Down Adjustment; Maximum Experimentwise Error Rate = 0.05; FDR = false discovery rate

Abbreviations in alphabetical order:

interleukin-1 beta (IL-1β), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), interleukin-12 (IL-12), interleukin-13 (IL-13), interleukin-17 (IL-17), interleukin-18 (IL-18), interferon gamma-induced protein 10 (IP-10), monocyte chemoattractant protein 1 (MCP-1), interferon gamma (IFN-ϒ), tumor necrosis factor alpha (TNF-α), tumor necrosis factor beta (TNF-β), intercellular adhesion molecule 1 (ICAM-1), vascular cell adhesion molecule 1 (VCAM-1), and vascular endothelial growth factor (VEGF), and thrombopoietin (TPO)

Three cytokines showed a significant sex-specific finding: MCP-1, IP-10, and IL-6 (see Table 3). All three cytokines showed a significantly elevated response after transfusion in females only, but not males. Only one cytokine (MCP-1) survived Holm adjustment for multiple comparisons, with females having higher levels of MCP-1 (8.9% change per additional transfusion) as compared to males (−0.8% change). Figure 2 illustrates these regression models of MCP-1 by cumulative transfusions, as separated by sex. Of all 9 cytokines, only one cytokine (TNF-β) showed a higher response in males as compared to females after transfusion, with males having a 10% increase in levels after transfusion (p<0.0001) and females having a 5.8% increase after transfusion (p=0.006). However, the sex interaction did not reach significance in this sample.

Table 3.

Cytokine Levels over Course of RBC Treatment – Percent change per additional transfusion—Sex Interactions* (N=71)

Cytokine	% change ± SE, per cumul transfusion (p)	M (p)	F (p)	p|M=F	Holm-Adjusted p	FDR
MCP-1	4.9 ± 1.9 (p=0.007)	−0.8 ± 2.4 (p=0.73)	8.9 ± 2.6 (p=0.0004)	0.004	0.0360	0.0360
IP-10	7.4 ± 2.4 (p=0.001)	1.0 ± 3.3 (p=0.75)	11.9 ± 3.2 (p<0.0001)	0.014	0.1120	0.0630
IL-6	12.9 ± 3.3 (p<0.0001)	5.2 ± 4.0 (p=0.17)	18.4 ± 4.6 (p<0.0001)	0.02	0.1400	0.0600
TNF-β	7.5 ± 1.6 (p<0.0001)	10.0 ± 2.2 (p<0.0001)	5.8 ± 2.2 (p=0.006)	0.15	0.9000	0.3375
IL-18	4.6 ± 1.7 (p=0.005)	4.0 ± 2.3 (p=0.08)	5.0 ± 2.2 (p=0.02)	0.76	1.0000	1.0000
IL-8	9.5 ± 1.8 (p<0.0001)	9.1 ± 2.4 (p<0.0001)	9.7 ± 2.4 (p<0.0001)	0.84	1.0000	1.0000
TPO	3.8 ± 1.4 (p=0.007)	3.5 ± 2.0 (p=0.07)	4.0 ± 1.9 (p=0.03)	0.86	1.0000	1.0000
sICAM-1	8.1 ± 1.7 (p<0.0001)	7.8 ± 2.3 (p=0.0005)	8.3 ± 2.3 (p=0.0001)	0.88	1.0000	0.9900
IFN-ϒ	8.1 ± 4.1 (p=0.03)	7.9 ± 5.6 (p=0.13)	8.2 ± 5.4 (p=0.11)	0.97	0.9700	0.9700

Adjusted for Gestational Age (GA) at birth, Birth Weight, Age, and pre-transfusion hemoglobin (ptHb) In Order of Significance with Holm Step-Down Adjustment; Maximum Experimentwise Error Rate = 0.05; FDR = false discovery rate

Abbreviations in alphabetical order:

interleukin-1 beta (IL-1β), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), interleukin-12 (IL-12), interleukin-13 (IL-13), interleukin-17 (IL-17), interleukin-18 (IL-18), interferon gamma-induced protein 10 (IP-10), monocyte chemoattractant protein 1 (MCP-1), interferon gamma (IFN-ϒ), tumor necrosis factor alpha (TNF-α), tumor necrosis factor beta (TNF-β), soluble intercellular adhesion molecule 1 (sICAM-1), soluble vascular cell adhesion molecule 1 (sVCAM-1), and vascular endothelial growth factor (VEGF), and thrombopoietin (TPO)

Figure 2.

Regression Model for Monocyte Chemoattractant Protein-1 (MCP-1) with Cumulative Transfusions by Sex

One cytokine, MCP-1, showed a significant sex interaction: significantly elevated in females (p=0.0004), but not males (p=0.730).

Of the three cytokines which showed a sex-specific increase after transfusion in females only, MCP-1 showed strongly significant negative relationships with multiple Bayley-III measures (see Table 4). Higher concentrations of MCP-1 were associated with decreased cognitive raw scores (B = −15.24, SE 3.45, p = 0.0005) and decreased motor scaled scores (B = −31.69, SE = 3.35, p < 0.0001). Figure 3(a) shows the negative association of MCP-1 with Bayley-III cognitive scores. There were no significant associations of IP-10 and IL-6 with Bayley-III scores at 12 months. TNF- β, which was the only cytokine that was higher in males than females after transfusion, showed a strong positive association with multiple Bayley-III measures, including cognitive raw scores (B = 11.24, SE = 5.25, p = 0.049) and receptive communication scores (B = 6.22, SE = 2.14, p = 0.011). That is, the higher the TNF- β concentration, the higher the Bayley-III cognitive and receptive communication scores in these infants. Figure 3(b) shows the positive association of TNF- β levels with Bayley-III cognitive scores.

Table 4.

Robust Linear Regressions (Method “MM”) of sex-specific cytokines with cognitive assessment at 12 months old (N=21)*

	MCP-1				TNF-β				IP-10				IL-6
	B†	SE	r2‡	p	B†	SE	r2‡	p	B†	SE	r2‡	p	B†	SE	r2‡	p
Bayley Cognitive Total Raw Score	−15.24	3.45	0.656	0.0005	11.24	5.25	0.362	0.049	−0.07	6.91	0.221	0.992	−5.89	5.28	0.165	0.282
Bayley Receptive Communication Raw Score	−5.52	2.15	0.487	0.022	6.22	2.14	0.554	0.011	−1.59	3.80	−0.002	0.683	5.72	3.64	0.080	0.138
Bayley Expressive Communication Raw Score	−6.76	3.85	0.058	0.099	−0.26	4.97	−0.236	0.959	−4.59	5.28	−0.171	0.398	4.28	5.24	−0.177	0.427
Bayley Language Scaled Score	−13.00	4.43	0.315	0.011	−3.80	6.08	0.119	0.542	−3.89	7.43	−0.091	0.609	9.22	7.03	−0.001	0.211
Bayley Fine Motor Raw Score	−3.43	0.58	0.787	<0.0001	3.22	2.44	0.120	0.208	2.72	2.46	0.053	0.287	3.04	2.99	−0.128	0.325
Bayley Gross Motor Raw Score	−100.23	6.83	0.813	<0.0001	20.35	14.30	0.177	0.178	2.91	16.71	−0.024	0.865	14.37	10.20	0.059	0.183
Bayley Motor Scaled Score	−31.69	3.35	0.724	<0.0001	12.45	6.81	0.441	0.091	−0.41	7.91	0.066	0.960	12.75	6.87	0.296	0.086

Controlling for birth weight, GA, cumulative transfusions, sex

B, Beta coefficient estimate, slope of relationship between predictor (mean log cytokine level) and outcome variable (e.g. # of Bayley items completed)

SE, Standard Error of Beta Coefficient

Adjusted r2 (adjusted for # of predictors in model)

Figure 3.

Robust Regression Models for Bayley-III Cognitive Raw Scores at 12 months old with Mean Log MCP-1 and Mean Log TNF-β Levels at Birth (N=21)

(a) One cytokine, MCP-1, showed a strong negative correlation with Bayley-III: the higher the MCP-1 concentrations, the lower the Bayley-III cognitive score.

(Beta coefficient = −15.24, Standard error = 3.45, p = 0.0005)

(b) The single cytokine elevated in males only, TNF-β, was associated with higher Bayley-III cognitive scores.

(Beta coefficient = 11.24, Standard error = 5.25, p = 0.049)

DISCUSSION

The current study demonstrates that several pro-inflammatory cytokines are elevated in the plasma in response to RBC transfusions in preterm infants randomized at birth to a higher or lower hemoglobin threshold for RBC transfusion, confirming the results of several previous studies (26–28). This study provides the first evidence of a sex-specific difference in the neonatal response to RBC transfusion with a rise in monocyte chemoattractant protein-1 (MCP-1), interleukin-6 (IL-6), and interferon gamma-induced protein 10 (IP-10), all of which were limited to females. Further, MCP-1 was uniquely inversely associated with Bayley-III cognitive, language, and motor scores at 12 months in these preterm infants.

Pro-inflammatory cytokine production and endothelial activation after RBC transfusion, often referred to as transfusion-related immunomodulation, has been proposed to underlie several neonatal morbidities (22, 23). Chemokines are small cytokines which act as chemoattractants for leukocyte migration. Recent studies indicate that chemokines and their receptors are also produced by brain cells, and are involved in various neurological disorders (32), supporting the notion that perinatal inflammation is a potential precursor for later neurodevelopmental abnormalities. Elevated MCP-1 levels have been shown to be associated with brain injury, in premature infants (33) and after traumatic brain injuries (34, 35). This study provides evidence that one chemokine, MCP-1, may well be involved in the pathophysiology that leads to the poor developmental outcomes for females that receive high hemoglobin threshold RBC transfusions, as previously reported in a long-term outcome study (25). Previous studies have also demonstrated other cytokines of interest in brain injury, including findings of higher concentrations of IL-1β, IL-6, TNF-α, and IL-8 in neonates with encephalopathy associated with later abnormal neurodevelopmental outcomes (36), as well as a meta-analysis demonstrating that IL-6 genetic polymorphisms are associated with development of cerebral palsy (37). Maternal elevations of IL-6 are also associated with larger amygdala volumes in neonates and subsequently, lower impulse control at 24 months of age (38). Finally, increased IP-10 and IL-6 amniotic fluid concentrations have been associated with chronic and acute chorioamnionitis, respectively, a known risk factor for development of cystic periventricular leukomalacia and cerebral palsy (39, 40). However, in the current study, there were no significant associations of IL-6 and IP-10 with Bayley-III cognitive scores. Further investigations are needed to elucidate the role of these cytokines in brain development of female preterm infants.

Recently, the Neonatal Research Network Transfusion of Prematures (TOP) trial published the findings that the main outcome of death or NDI [defined as Cognitive Bayley II <85, cerebral palsy, or vision impairment with acuity <20/200, or bilateral hearing deficits requiring amplification/cochlear implant] was not significantly different in the randomized trial in which very low birth weight infants were assigned to either a low or high hemoglobin threshold for RBC transfusions (12). These TOP trial primary outcome results have been reproduced by another similar clinical trial, the Effects of Transfusion Thresholds on Neurocognitive Outcomes of Extremely Low-Birth-Weight Infants (ETTNO) trial, which utilized similar primary outcome criteria as the TOP trial (41). Despite the overall negative findings on the primary neurodevelopmental outcome measures in these trials, it is important to emphasize that both the ETTNO and TOP clinical trials were designed to determine optimal clinical guidelines and the safe utilization of RBC transfusions in the neonatal period; that is, does a low hemoglobin or higher hemoglobin threshold strategy in extremely low birth weight infants improve survival or gross neurodevelopmental outcome at 24 months of corrected age? However, the majority of the neurodevelopmental adverse outcomes for premature birth are ‘high prevalence, low severity’ cognitive dysfunctions, such as learning disabilities, low average to borderline intelligence quotients, academic underachievement, attention-deficit hyperactivity disorder (ADHD), and neuropsychological deficits and behavioral concerns (13). While these deficits are milder in severity, they are estimated to occur in up to 50–70% of children born very low birth weight and many persist into adolescence and adulthood. Although clearly less severe than the NDI used as a primary outcome measure for the TOP trial, the impact that these less severe deficits can have lifelong should not be overlooked or underestimated. The current study was uniquely designed to highlight these subtle, more specific brain developmental outcomes these infants remain at risk for, by using continuous longitudinal markers of inflammatory markers very early in life during a critical time point in development and their relationship to later cognition, as opposed to discrete two-group comparisons in brain function between two different transfusion strategies. There are implications for these possible mechanisms of early injury to ongoing, long-term brain development and later function in these infants. As a direct correlate to potential RBC transfusion effects on the brain, it has been shown that early iron-deficiency anemia (i.e. late prenatal and neonatal) leads to various long-term neurobehavioral abnormalities (42, 43). For example, children with iron deficiency or iron deficiency anemia in infancy perform worse on specific cognitive functions such as spatial memory, selective attention, and executive function tasks, specifically ones requiring inhibition and planning. They show slower processing speeds, behavioral deficits, and disrupted sleep-wake rhythms, often in the context of normal IQs. Moreover, many of these deficits persist into adulthood (44). Therefore, it is imperative to continue to investigate these subtler neurodevelopmental outcomes in the context of prematurity and red blood cell transfusion.

In the current study, although most cytokines rose after transfusion for both males and females, there was no significant elevation in cytokines based on cumulative transfusions observed for only male preterm infants as compared to females. However, differential transfusion may still affect outcomes in males. It is important to note that tumor necrosis factor beta (TNF-β) was the single cytokine that was descriptively higher in males than females after transfusion. This cytokine is a member of the TNF superfamily (TNFSF), which plays a pivotal role in adaptive and innate immunity. Pro-apoptotic TNFSF members are essential for cytotoxic effector cell function in apoptosis, immune surveillance and tumor regression, and protection from viral and bacterial infections through activation of signaling pathways including TNF receptor 1 (TNFR1) and TNF receptor 2 (TNFR2)(45–47). Further, almost all the ligands for TNFSF are produced by hematopoietic cells, and are essential in interactions regulating their proliferation. More specifically, TNF-β, also known as lymphotoxin alpha (LTα), is involved in organogenesis of secondary lymphoid tissues.(48) Finally, TNFR2 expression and activation in astrocytes has been shown to be important for proliferation of oligodendrocyte progenitor cells after demyelination.(46, 49) Therefore, increased levels of this signaling molecule in preterm infants after transfusion may potentially be a critical protective mechanism to maturational insults to the developing neonatal brain. The findings here support this by showing greater levels of TNF-β associated with increased cognitive scores at 12 months’ corrected age.

The current findings and previous research suggest that neurodevelopmental outcomes associated with different transfusion thresholds may have a sex-specific effect, where females have worse outcomes with high hemoglobin thresholds for RBC transfusion, while males have worse outcomes with low hemoglobin thresholds, as previously documented by our group in multiple long-term brain structure and function outcome studies in children who previously had higher or lower hemoglobin thresholds for RBC transfusion (25, 50, 51). In the context of the current analysis, we hypothesize that for females, a higher hemoglobin concentration threshold for RBC transfusion is associated with more transfusions and higher MCP-1 levels, a possible inflammatory response which is detrimental to brain development; for males, lower hemoglobin thresholds for transfusion lead to less transfusions and a relative reduction of TNF-β levels, and presumably, more tissue hypoxia (52, 53). Given that TNF-β is beneficial to brain development, a relative reduction in TNF- β levels would manifest as poorer developmental outcomes. Though other factors are likely involved, the sex-specific roles of cytokines and their effect on later cognitive status as seen in the current study are directly in line with the previous sex-specific brain outcomes of higher or lower thresholds for RBC transfusion. Therefore, while this study may be considered associative and hypothesis-generating, it provides the first direct evidence that brain status may be due to a differential mounted inflammatory response between sexes. However, it remains to be determined whether this significant factor affecting early brain development in these infants is the primary pathogenesis to injury, or whether it acts in concert with the potential additional differences between sexes in inherent vulnerability of the brain itself during this critical time of development.

It is important to recognize the limitations of the current study. A significant limitation of the neurocognitive outcome investigations is that the association between Bayley measures and cytokine levels could not be determined in the entire sample, as there were only 26 infants with 12-month follow-up Bayley assessment and cytokine levels. Therefore, this association is based upon a 37% follow-up rate at 12 months. As such, there is the potential for selection bias introduced by this low follow-up rate. It may also be argued that the neurocognitive deficits would be generalizable to all infants with elevated MCP-1 levels, and not simply the female infants. A statistical model that included an interaction term of cytokine by sex would add weight to the hypothesis that the association between Bayley score and cytokine (MCP-1) is sex-specific to females. Conversely, it should be noted that there were no significant differences between participants and non-participants in all demographic characteristics, including gestational age, birth weight, number of transfusions received, and pre-transfusion hemoglobin. Of all 19 cytokines, participants showed lower levels of TNF-beta and higher levels of IL-17. However, even given the lower levels of TNF-beta in participants, increases in this cytokine were demonstrated in association with cumulative transfusions in this study (and, conversely, no associations were shown with IL-17). We are also unable to answer the question of whether or not anemia itself causes inflammation, as most very low birth weight infants will receive at least one RBC transfusion during their neonatal intensive care hospital stay. However, recent studies using mouse models of phlebotomy-induced anemia suggest that increasing severity of anemia in the preterm infant may correlate with levels of IFN-gamma, a key pro- inflammatory cytokine that may predispose an infant’s to necrotizing enterocolitis, another comorbid condition in preterm infants (53). Additionally, the samples used for cytokine measurements used were obtained from scavenged blood from clinically drawn samples. Therefore, time after transfusion varied based on clinical practices for each of these blood draws. However, the purpose of this study was to determine mounting inflammatory response in preterm infants by using increased number of transfusions as an independent predictor. While the elevations in cytokine levels may be multifactorial, using the number of transfusions and averaged cytokine levels throughout NICU stay may provide better evidence that the increased cytokine levels observed are a direct and sustained result of the transfusions, and not a transient response to another biologic process in the infant. In much the same way, a strength of this study is that outcomes were determined using statistical models that utilized an independent predictor accounting for a continuous measure of pretransfusion hemoglobin, rather than simple discrete group differences (i.e. high hemoglobin or low hemoglobin thresholds).

Finally, this study investigated the inflammatory response (as measured by cytokine plasma level) to differential transfusion by sex in preterm infants in the neonatal period, supporting the potential that these immunomodulatory effects may be involved in the pathogenesis of morbidities seen in this population. This study was not designed to determine the incidence of these morbidities in association with serum cytokine concentrations. Therefore, future investigations in larger cohort of infants will be necessary to truly elucidate the direct associations of inflammatory biomarkers with adverse outcomes, both in the neonatal period and later in development.