Abstract
Objectives
To evaluate whether in children born extremely preterm, indicators of sustained systemic inflammation in the first month of life are associated with cognitive impairment at school age.
Study design
873 of 966 eligible children previously enrolled in the multicenter Extremely Low Gestational Age Newborn Study from 2002–2004 were evaluated at age 10 years. We analyzed the relationship between elevated blood concentrations of inflammation-associated proteins in the first 2 weeks (“early elevations”; n=812) and the 3rd and 4th week (“late elevations”; n=532) of life with neurocognition.
Results
Early elevations of CRP, TNF-alpha, IL-8, ICAM-1, and EPO were associated with IQ values >2 SD below the expected mean (ORs: 2.0–2.3) and with moderate to severe cognitive impairment on a composite measure of IQ and executive function (ORs: 2.1–3.6). Additionally, severe cognitive impairment was associated with late protein elevations of CRP (OR:4.0; 95% CI 1.5, 10), IL-8 (OR:5.0; 1.9, 13), ICAM-1 (OR:6.5; 2.6, 16), VEGF-R2 (OR:3.2; 1.2, 8.3), and TSH (OR:3.1; 1.3, 7.3). Moderate cognitive impairment was most strongly associated with elevations of IL-8, ICAM-1, and VEGF-R2. When four or more inflammatory proteins were elevated early, the risk of having an IQ<70 and having overall impaired cognitive ability was more than doubled (ORs:2.1–2.4); the presence of four or more inflammatory protein elevated late was strongly linked to adverse cognitive outcomes (ORs:2.9–4.8).
Conclusion
EP children who had sustained elevations of inflammation-related proteins in the first postnatal month are more likely than EP peers without such elevations to have cognitive impairment at 10 years.
Keywords: extremely preterm infants, inflammation-related proteins, cognition, school age
Advances in neonatal intensive care have increased the survival of extremely preterm children born before 28 weeks of gestation.(1) Little progress has been made, however, in the prevention of moderate to severe neurocognitive impairments that affect about 40% of EP survivors.(1–13) Improvement in outcomes of EP children requires a better understanding of the antecedents and causes of neurocognitive impairment in this population, which could lead to development of new technologies and approaches. In the initial phase of the Extremely Low Gestational Age Newborn (ELGAN) Study that evaluated more than 900 children born before 28 weeks gestation, neonatal elevations of specific molecular biomarkers (ie, inflammation-associated proteins in blood), robustly predicted cognitive impairment at 2 years of age.(14, 15) Moreover, concentrations of inflammation-related proteins in blood spot samples collected in the 3rd and 4th weeks of life were associated with two-year outcomes beyond associations with protein concentrations from the first two postnatal weeks alone.(16)
Cognitive assessments at 2 years among infants born with extremely low birth weight, however, have correlated only modestly with school-age cognitive abilities(12, 17), which better predict later academic achievement and vocational and social competence.(18) For a more definitive evaluation of the long-term impact of neonatal elevations of inflammation-related proteins, we assessed cognitive abilities during school age in the ELGAN Study cohort when assessment of cognitive ability is reliable.
We report here analyses that test the hypothesis that persistent, elevated concentrations of circulating inflammation-associated proteins in the first 2 postnatal weeks (early) are associated with an increased risk of cognitive deficits at 10 years of age in EP children. We also test the hypothesis that persistent, elevated concentrations of circulating inflammation-associated proteins in the 3rd and 4th postnatal weeks are associated with risk of cognitive deficits at age 10 years beyond the risk conferred by the “early” elevations of inflammatory proteins.
Methods
The ELGAN Study is a multicenter observational study of the risk of structural and functional neurologic disorders in EP infants. During the years 2002–2004, women delivering before 28 weeks gestation were asked to enroll in the study. A total of 1249 mothers of 1506 infants consented to participate. At 10 years of age, 966 surviving children for whom we obtained neonatal blood specimens for measurement of inflammation-related proteins, were targeted for recruitment. The families of 889 (92%) of these children returned for follow up. The institutional review boards of all participating institutions approved enrollment and consent procedures for this follow-up study.
Of the 889 children evaluated, 11 did not accompany the parent or caregiver during the follow-up visit (hence informed consent could not be obtained), and 5 children did not cooperate with the child assessment, leaving a final sample of 873 children. In the analyses that included only early protein elevations, of the 873 participants, we evaluated risk in the 812 for whom both early blood samples and 10-year outcome data were available. When we evaluated risk associated with late elevations (3rd and 4th postnatal week), we considered the risk above that attributable to the early elevations, and included only the 532 children for whom we possessed blood samples at both the early and late time intervals. Because of severe motor, visual and cognitive disability, 29 children were assigned floor scores on all tests, and 11 were assigned floor scores on some tests.
Families willing to participate were scheduled for one visit, usually at the institution of birth. Child measures were selected to provide the most comprehensive assessment of cognitive and academic function obtainable in a single testing session. Evaluations were administered by certified child psychologists blinded to clinical information in a 3 to 4 hour session that included breaks. All psychologist examiners underwent a 1-day in-person training and verification of competency for administering the neurocognitive test battery.
Assessments
General cognitive ability (or IQ) was assessed with the School-Age Differential Ability Scales–II (DAS-II(19), and Verbal and Nonverbal Reasoning scales. Because DAS-II Verbal and Nonverbal IQ scores were strongly correlated within the sample, the mean of these two meaures was used as an estimate of general cognitive ability.
Attention and executive function were assessed with the DAS-II and the NEPSY-II.(20). DAS-II Recall of Digits Backward and Recall of Sequential Order measured verbal working memory. NEPSY-II Auditory Attention and Auditory Response Set measured sustained auditory attention, set switching and inhibition. NEPSY-II Inhibition-Inhibition and Inhibition-Switching tasks measured simple inhibition and inhibition in the context of set shifting, respectively. NEPSY-II Animal Sorting measured concept generation and mental flexibility. For purposes of these analyses, executive function was considered in conjunction with IQ using a Latent Profile Analysis construct.
We used latent profile analysis (LPA) to classify children in our sample into subgroups based on similarities in their profiles of IQ and EF scores. These analyses identified four subgroups in our cohort corresponding to overall cognitive functioning that was normal (34% of cohort, with mean IQ and EF scores within normal range on all measures), low-normal (41%, with mean IQ and EF scores ranging from 0.5 to 1 standard deviation below the norm), moderately impaired (17%, with mean IQ and EF measures between 1.5 and 2.5 standard deviations below the norm), and severely impaired (8%, with mean IQ and EF measures 3 to 4 standard deviations below the norm).
Blood Protein measurements
Drops of whole blood were collected on (Schleicher & Schuell 903) filter paper on the first postnatal day (range: 1–3 days) and the 7th (range: 5–8 days) and 14th (range: 12–15 days) postnatal days. Twenty-eight proteins taken from blood samples in the first two weeks of life and 16 proteins taken from blood sample in the 3rd and 4th weeks of life were measured in the Laboratory of Genital Tract Biology, Brigham and Women’s Hospital, using the Meso Scale Discovery multiplex platform and Sector Imager 2400 (Meso Scale Discovery, Gaithersburg, MD), which has been validated against ELISA. Details about the procedure for processing the blood spots and for measuring protein concentrations and absolute value ranges for 28 inflammation-regulating proteins are explained elsewhere.(21)
In the blood spot samples we considered for analyses the 16 proteins that were measured at all 5 points of time in the first month of life, including cytokines: Interleukin (IL)-1 β (IL-1β), Interleukin-6 (IL-6) and its receptor (IL-6R), tumor necrosis factor-alpha (TNF-α) and one of its receptors (TNF-alpha R2); adhesion molecules: intercellular adhesion molecule-1 (ICAM-1); growth factors: vascular endothelial growth factor (VEGF) and one of its receptors (VEGF-R2); chemokines: Interleukin-8 (IL-8), regulated upon activation, and normal T-lymphocyte expressed, and (presumably) secreted (RANTES); metalloproteinases: matrix metalloproteinase-9 (MMP-9); liver-produced: serum amyloid A (SAA), C-reactive protein (CRP); endocrine regulators: thyroid-stimulating hormone (TSH) and erythropoietin (EPO), and neutrophil- derived effectors: myeloperoxidase (MPO).
Volumes of blood spotted on the filter paper varied, and to standardize the inflammation protein measurements we eluted each fixed spot area in the same volume of elution buffer and normalized the concentration of each biomarker to total protein concentration.(22) Measurements were made in duplicate, and the mean served as the basis for all tables and analyses. The protein concentrations varied with gestational age, and with the postnatal day of collection.(23, 24) In addition, measurements from the first two weeks of life were assayed in 2009–2010 whereas the proteins obtained from weeks 3 and 4 of life were assayed in 2015, and, although the distributions of each were similar, they were not identical. Consequently, we divided our sample into 30 groups defined by gestational age category (23–24, 25–26, 27 weeks), postnatal day of blood collection (1, 7, 14, 21 and 28), and measurement set (2009–2010, 2015). Four considerations prompted us to operationalize using highest quartile protein values for a particular gestational age and postnatal day/week of sampling as a measure of inflammation signal. First, normative data for circulating inflammation-associated proteins in extremely low gestational age newborns (ELGANs) are not available. Second, circulating protein concentrations in our cohort of ELGANs varied according to gestational age and by postnatal day or week the blood was sampled. Third, the protein values did not conform to a normal distribution. Finally, because weeks 3 and 4 blood measures were completed nearly 10 years apart, use of quartile minimizes potential impact of protein degradation over time. Sustained elevation for a particular protein was defined as a protein concentration in the highest quartile on at least 2 of the 3 measures obtained in the first 2 weeks and in the highest quartile on both measures for the 3rd and 4th week samples.
Data analyses
We evaluated two measures of cognition using IQ and LPA categories. We use cognitive impairment as an overarching term that refers to either having impaired IQ (mean verbal and nonverbal IQ less than 70) or having impaired overall cognitive functioning (moderately or severely impaired groups based on LPA, which integrates measures of IQ and executive function abilities). We also present 2 intermediary categories based on IQ z-scores between −2 and −1 or being in the low normal group based on LPA. We tested the hypothesis that infants with sustained inflammation were not more likely than infants without sustained inflammation to have cognitive impairment at age 10 years. We defined cognitive impairment as IQ at least 2 Z-scores below normative expectation or as moderately or severely impaired by LPA.
In the analyses in which we considered the number of inflammation-related protein elevations as a predictor of outcome, we used a subset of 9 proteins (CRP, SAA, IL-1β, IL-6, TNF-α, IL-8, ICAM-1, MMP-9, VEGF) common to both the early and late protein sets. These proteins have been associated consistently with structural and functional neurological outcomes in the literature and in previous ELGAN Study analyses.(14, 25, 26)
Logistic regression and multinomial logistic regression models were used to examine the association between measures of inflammation and cognitive impairment, controlling for public insurance status at birth (as a measure of low SES) and child sex. First, we explored whether sustained elevation of specific, individual proteins in the first two postnatal weeks of life (early) predicted cognitive impairment. Second, we explored whether breadth of early inflammation (with high defined by the presence of sustained elevations of 4 or more inflammation-related proteins and moderate inflammation defined by sustained elevations in 2–3 proteins) was associated with cognitive impairment. Finally, using time-oriented models, we evaluated the added contribution to risk of cognitive impairment from protein elevations in the 3rd and 4th weeks of life, controlling for early protein elevations.(27)
Odds ratios and 95% Confidence Intervals were used to describe associations between markers of inflammation and our 3 category IQ outcome (IQ z-score −2 or below, between −2 and −2, or above −1) and 4 category overall cognitive functioning outcome (severely impaired, moderately impaired, low normal function, normal cognitive function). Odds ratios are given for each impairment category relative to the highest functioning reference category
Results
Approximately 20% of the cohort was born at 23–24 weeks, 45% were born at 25–26 weeks, and 34% were born at 27 weeks gestation. Seven percent (38/532) were born small for gestational age, and 27% (132/487) had a MDI score <70 at 2 years of age. Impaired MDI values were highly associated with impaired IQ and with non-normal overall cognitive impairment at age 10 years. Children whose mothers had indicators of low socioeconomic status (less than high school education, single status, and public insurance), who were non-white, and who were male were more likely to have cognitive impairment (Table I).
Table 1.
Percent of children with cognitive impairment by mother and child characteristics, n=812.
DAS IQ Z-Score1 | Impairment level by LPA | ||||||
---|---|---|---|---|---|---|---|
N | ≤ −2 % |
> −2, ≤ −1 % |
Severe % |
Moderate % |
Low normal % |
||
Maternal characteristics | |||||||
Racial identity | White | 512 | 10 | 16 | 5 | 12 | 40 |
Black | 208 | 25 | 28 | 13 | 26 | 45 | |
Other | 90 | 23 | 16 | 9 | 21 | 38 | |
Hispanic | Yes | 80 | 23 | 24 | 14 | 16 | 49 |
No | 731 | 15 | 18 | 7 | 17 | 40 | |
Age, years | < 21 | 105 | 17 | 28 | 9 | 26 | 42 |
21–35 | 546 | 16 | 18 | 8 | 16 | 42 | |
> 35 | 161 | 12 | 15 | 7 | 13 | 38 | |
Education, years | ≤ 12 | 334 | 22 | 24 | 11 | 23 | 46 |
> 12, < 16 | 190 | 15 | 22 | 8 | 17 | 42 | |
≥ 16 | 288 | 8 | 11 | 3 | 9 | 35 | |
Single marital status | Yes | 329 | 19 | 27 | 10 | 23 | 46 |
No | 483 | 13 | 13 | 7 | 12 | 37 | |
Public insurance | Yes | 286 | 23 | 26 | 12 | 25 | 44 |
No | 526 | 11 | 15 | 6 | 12 | 40 | |
Newborn characteristics | |||||||
Sex | Male | 413 | 20 | 18 | 10 | 18 | 39 |
Female | 399 | 11 | 19 | 6 | 15 | 44 | |
Gestational age, weeks | 23–24 | 173 | 26 | 20 | 16 | 21 | 40 |
25–26 | 366 | 15 | 21 | 7 | 17 | 42 | |
27 | 273 | 9 | 15 | 4 | 13 | 41 | |
Birth weight, grams | ≤ 750 | 306 | 24 | 22 | 14 | 23 | 41 |
751–1000 | 347 | 11 | 18 | 4 | 14 | 44 | |
> 1000 | 159 | 8 | 14 | 5 | 11 | 35 | |
Birth weight Z-score | < −2 | 49 | 19 | 23 | 8 | 24 | 41 |
≥ −2, < −1 | 106 | 20 | 24 | 8 | 24 | 41 | |
≥ −1 | 657 | 15 | 18 | 8 | 15 | 41 | |
Bayley Scales at age 2 years | |||||||
Mental Development Index |
< 55 | 109 | 56 | 16 | 38 | 29 | 26 |
55–69 | 80 | 33 | 25 | 11 | 29 | 46 | |
≥ 70 | 564 | 5 | 18 | 1 | 12 | 44 | |
Psychomotor Development Index |
< 55 | 109 | 52 | 18 | 38 | 24 | 28 |
55–69 | 115 | 18 | 24 | 4 | 24 | 44 | |
≥ 70 | 529 | 7 | 17 | 2 | 13 | 43 |
n=809 for DAS IQ, 3 children completed only the verbal or nonverbal IQ, so an average could not be calculated
In the first two weeks, elevated concentration of CRP, TNF-alpha, IL-8, ICAM-1, and EPO individually was associated with Impaired IQ (ORs ranging from 2.0 to 2.3). (Table II) These proteins, as well as CRP and SAA, also were associated with moderately and severely impaired overall cognitive functioning (ORs: 2.1 to 3.6 for the severly impaired group and from 2.0 to 2.4 for the moderately impaired group) (Table III). After adjusting for early protein elevations, late elevations of CRP, VEGF-R2, and TSH were associated with severe impairment (ORs ranged from 3.1 to 6.5). IL-8, ICAM-1, and VEGF-R2 also were significantly higher in the groupts testing as moderately impaired and low normal compared with groups testing as normal.
Table 2.
Adjusted odds ratios1 and 95% confidence intervals for impaired IQ2 at age 10 years for those with elevated inflammatory protein concentrations3 on 2 of the first 3 postnatal measurements (n=809)4.
N | DAS IQ Z-score | ||
---|---|---|---|
Elevated/ Not Elevated |
≤ −2 (n=125) |
> −2, ≤ −1 (n=153) |
|
CRP | 155 / 654 | 2.0 (1.2, 3.2) | 1.4 (0.9, 2.2) |
SAA | 133 / 676 | 1.6 (0.97, 2.7) | 1.5 (0.9, 2.4) |
MPO | 142 / 667 | 1.0 (0.6, 1.6) | 1.1 (0.7, 1.7) |
IL-1β | 132 / 677 | 1.6 (0.98, 2.7) | 1.1 (0.6, 1.8) |
IL-6 | 131 / 678 | 2.0 (1.2, 3.3) | 1.2 (0.8, 2.0) |
IL-6R | 161 / 648 | 0.7 (0.4, 1.2) | 1.1 (0.7, 1.7) |
TNF-α | 154 / 655 | 2.0 (1.2, 3.2) | 1.6 (1.00, 2.4) |
TNF-R2 | 138 / 671 | 1.3 (0.8, 2.1) | 1.0 (0.6, 1.7) |
IL-8 (CXCL8) | 136 / 673 | 2.3 (1.4, 3.8) | 1.6 (1.02, 2.6) |
RANTES (CCL5) | 149 / 660 | 0.7 (0.4, 1.2) | 0.7 (0.4, 1.2) |
ICAM-1 (CD54) | 152 / 687 | 2.3 (1.4, 3.7) | 1.5 (0.9, 2.3) |
MMP-9 | 122 / 687 | 0.7 (0.4, 1.3) | 0.9 (0.6, 1.6) |
VEGF | 164 / 645 | 0.7 (0.4, 1.1) | 0.9 (0.6, 1.4) |
VEGF-R2 | 164 / 645 | 1.1 (0.7, 1.8) | 1.2 (0.8, 1.9) |
TSH | 164 / 645 | 1.2 (0.7, 1.9) | 1.0 (0.6, 1.5) |
EPO | 138 / 671 | 2.2 (1.3, 3.5) | 1.4 (0.9, 2.3) |
Odds ratios comparing indicated IQ group to those with IQ Z-score above −1, adjusting for public insurance and child sex through multinomial logistic regression
IQ z-score based on average of the DASII verbal and non-verbal IQ scores
Inflammatory protein concentration in the top quartile controlling for gestational age and day of measurement
3 children completed only the verbal or nonverbal IQ, so an average could not be calculated
Table 3.
Adjusted odds ratios1 and 95% confidence intervals of overall cognitive impairment based on Latent Profile Analysis at age 10 years for those with elevated concentrations of inflammatory proteins2 on 2 of the first 3 postnatal measurements (early period) and on both the 21st and 28th postnatal day measurements (controlling for early protein level, late period).
Early* (n=812) |
Late in light of early** (n=532) |
|||||||
---|---|---|---|---|---|---|---|---|
Impairment level by LPA | ||||||||
N Elevated |
Severe (n=64) |
Moderate (n=135) |
Low normal (n=333) |
N Elevated |
Severe (n=45) |
Moderate (n=98) |
Low normal (n=221) |
|
CRP | 156 | 2.1 (1.05, 4.2) | 2.4 (1.4, 4.1) | 1.8 (1.1, 2.8) | 62 | 4.0 (1.5, 10) | 2.0 (0.8, 4.6) | 1.7 (0.8, 3.5) |
SAA | 133 | 2.1 (1.01, 4.2) | 2.0 (1.1, 3.5) | 1.6 (0.98, 2.5) | 48 | 2.6 (0.9, 7.7) | 2.0 (0.9, 5.1) | 1.2 (0.6, 2.7) |
MPO | 143 | 1.1 (0.6, 2.3) | 0.9 (0.5, 1.6) | 1.0 (0.7, 1.5) | 64 | 0.6 (0.2, 2.2) | 1.0 (0.5, 2.3) | 1.2 (0.7, 2.2) |
IL-1β | 132 | 1.9 (0.9, 3.8) | 1.5 (0.8, 2.6) | 1.2 (0.8, 1.9) | 65 | 0.5 (0.1, 2.0) | 1.9 (0.9, 4.0) | 1.1 (0.6, 2.0) |
IL-6 | 131 | 2.5 (1.3, 5.0) | 2.0 (1.2, 3.6) | 1.3 (0.8, 2.1) | 62 | 2.0 (0.8, 5.5) | 1.4 (0.6, 3.1) | 1.2 (0.6, 2.4) |
IL-6R | 163 | 0.5 (0.2, 1.2) | 1.1 (0.6, 1.8) | 1.1 (0.7, 1.6) | 67 | 1.1 (0.4, 3.1) | 0.6 (0.3, 1.5) | 1.0 (0.6, 1.9) |
TNF-α | 154 | 2.2 (1.1, 4.3) | 2.8 (1.6, 4.6) | 1.4 (0.9, 2.2) | 89 | 0.7 (0.2, 2.0) | 1.7 (0.9, 3.3) | 1.1 (0.6, 1.9) |
TNF-R2 | 138 | 1.6 (0.8, 3.2) | 1.2 (0.7, 2.1) | 1.1 (0.7, 1.8) | 67 | 2.2 (0.8, 5.6) | 1.6 (0.7, 3.5) | 1.4 (0.7, 2.7) |
IL-8 (CXCL8) | 136 | 2.8 (1.4, 5.5) | 2.2 (1.3, 3.9) | 1.4 (0.9, 2.3) | 80 | 5.0 (1.9, 13) | 6.3 (2.8, 14) | 2.4 (1.1, 5.1) |
RANTES (CCL5) | 151 | 0.6 (0.3, 1.3) | 0.8 (0.4, 1.3) | 0.7 (0.5, 1.1) | 65 | 1.3 (0.5, 3.3) | 0.9 (0.4, 2.0) | 0.8 (0.4, 1.4) |
ICAM-1 (CD54) | 153 | 3.1 (1.6, 6.0) | 2.4 (1.4, 4.2) | 1.5 (0.9, 2.3) | 87 | 6.5 (2.6, 16) | 2.9 (1.3, 6.4) | 2.7 (1.4, 5.4) |
MMP-9 | 124 | 0.5 (0.2, 1.3) | 1.1 (0.6, 2.0) | 1.2 (0.8, 1.9) | 53 | 0.9 (0.3, 2.9) | 1.0 (0.4, 2.3) | 0.9 (0.5, 1.8) |
VEGF | 165 | 0.7 (0.3, 1.4) | 0.7 (0.4, 1.2) | 0.8 (0.6, 1.2) | 68 | 0.8 (0.3, 2.2) | 0.9 (0.4, 2.0) | 0.6 (0.3, 1.2) |
VEGF-R2 | 161 | 1.2 (0.6, 2.4) | 1.2 (0.7, 2.0) | 1.1 (0.8, 1.7) | 71 | 3.2 (1.2, 8.3) | 2.4 (1.1, 5.4) | 2.0 (1.01, 4.1) |
TSH | 165 | 1.4 (0.8, 2.8) | 1.0 (0.6, 1.7) | 1.1 (0.7, 1.6) | 73 | 3.1 (1.3, 7.3) | 1.4 (0.6, 3.0) | 1.1 (0.6, 2.1) |
EPO | 138 | 3.6 (1.8, 7.1) | 2.3 (1.3, 4.1) | 1.8 (1.1, 3.0 | 65 | 1.0 (0.3, 3.0) | 1.4 (0.6, 3.1) | 1.3 (0.7, 2.5) |
Odds ratio comparing the indicated category to those with normal overall cognitive function, controlling for public insurance at birth and child sex
Early: protein in the highest quartile on two or more of the first three days (days 1, 7, and 14)
Information added by the late concentrations (protein in the highest quartile on both day 21 and 28.
The presence of ≥4 elevations of inflammatory protein was associated with impaired IQ (OR: 2.1 to 2.4) (Table IV). Additionally, elevations of ≥4 proteins were associated with moderately impaired overall cognitive function (OR: 2.8; 95% CI 1.5, 5.0) and low normal overall cognitive function (OR: 1.7; 95% CI 1.01, 2.7).
Table 4.
Adjusted odds1 ratios and 95% confidence intervals for measures of cognitive impairment at age 10 years associated with 4+ 2 or 2–3 elevated proteins on 2 of postnatal days 1, 7, and 14 (early period), on both postnatal days 21 and 28 controlling for early elevation (late period), and with both early and late 4+ elevations, or one with 4+ and the other having 2–3 elevations (4+ & 2–3+).
Early3 (n=812) |
Late in light of early3 (n=532) |
Both early and late4 (n=532) |
|||||
---|---|---|---|---|---|---|---|
4+ (n=130) |
2–3 (n=179) |
4+ (n=47) |
2–3 (n=115) |
4+ (n=16) |
4+ & 2–3+ (n=270) |
||
DAS IQ5 Z-score |
≤ −2 | 2.4 (1.4, 4.0) | 1.3 (0.8, 2.1) | 3.2 (1.5, 6.9) | 2.2 (1.2, 3.9) | 5.9 (1.7, 21) | 2.1 (1.3, 3.5) |
> −2, ≤ −1 | 1.5 (0.9, 2.5) | 1.3 (0.9, 2.5) | 1.1 (0.5, 2.7) | 1.3 (0.8, 2.3) | 2.3 (0.6, 8.8) | 1.2 (0.8, 1.9) | |
LPA level of impairment |
Severe | 2.3 (1.1, 4.9) | 1.1 (0.5, 2.3) | 4.8 (1.5, 16) | 1.5 (0.6, 3.5) | 5.8 (0.7, 48) | 2.2 (1.1, 4.6) |
Moderate | 2.8 (1.5, 5.0) | 1.9 (1.1, 3.2) | 5.1 (1.9, 14) | 1.7 (0.9, 3.3) | 9.3 (1.8, 50) | 2.0 (1.2, 3.5) | |
Low normal | 1.7 (1.01, 2.7) | 1.1 (0.7, 1.6) | 1.9 (0.8, 4.8) | 1.0 (0.6, 1.7) | 2.2 (0.4, 1.2) | 1.3 (0.9, 2.9) |
Odds ratio comparing the indicated category to those without elevated proteins, controlling for public insurance at birth and child sex
Number of elevated proteins among CRP, SAA, IL-1β, IL-6, TNF-α, IL-8, ICAM-1, MMP-9, and VEGF
Referent protein group is < 2 elevations
Referent protein group is early < 2 elevations and late < 2 elevations
n=809 for DAS IQ, 3 children completed only the verbal or nonverbal IQ, so an average could not be calculated
After adjusting for early elevations of protein in the 532 children for whom we assayed proteins both in the early and late periods (Table IV), late elevation of ≥4 proteins was associated with impaired IQ, severe and moderate overall cognitive impairment, (ORs ranged from 2.9 to 5.1).
Among the proteins evaluated, the two most consistently associated with cognitive impairment were IL-8 and ICAM-1. Early elevations of these were associated with severly decreased IQ (IL-8-OR: 2.3;1.4,3.8; ICAM-1- OR: 2.3; 1.4,3.7) (Table II). When adjusting for early elevations of proteins, late elevations of these two proteins were associated with severe overall cognitive impairment (IL8- OR: 5.0; 1.9,13; ICAM-1- OR: 6.5;2.6,16) (Table III) . Both of these protein elevations also were associated with moderately impaired and low normal overall impairment from the LPA grouping with ORs that ranged from 2.7 to 6.3.
Discussion
Persisting, elevated concentrations of a broad number of circulating inflammation-associated proteins in the first 4 postnatal weeks were associated with cognitive impairment at age 10 years. The association was found for IQ measures, and a categorical outcome that summarized IQ and executive function. Additionally, IL-8 and ICAM-1 were the circulating proteins in the first month of life most strongly associated with cognitive impairment at 10 years of age.
Previously, we demonstrated that persisting, elevated levels of circulating inflammation-associated proteins in the first 2 postnatal weeks of life were associated with cognitive impairment at 2 years of age in the ELGAN Study cohort.(14, 15) Now we provide evidence that elevation of circulating inflammation-associated proteins detectable in the 3rd and 4th postnatal weeks contribute to risk of cognitive impairment beyond the risk posed by the presence of such proteins in the first 2 weeks of life(28). This observation coupled with our previous report, which shows little association of Day 1 inflammatory protein elevations with 2-year cognitive outcomes(14), suggests that in addition to exposures that initiate an inflammatory process in utero, postnatal exposures also might initiate inflammation that predicts later cognitive deficits. Such postnatal exposures could injure the brain directly and also could constitute a second hit to an already sensitized central nervous system.(29, 30) Postnatal events that can contribute to risk over the first 4 weeks of life include lung inflammation, necrotizing entrerocolitis, derangements of blood pressure and oxygen exchange, acidosis, and bacteremia, fungemia, and/or sepsis.(31–33)
The mechanisms by which inflammation contributes to neurologic dysfunction are not yet known, but could include microglial activation, enhanced expression of cyclooxygenase 2, death of immature oligodendrocyte, excitotoxic-glutamatergic-mediated injury, disruptions to neuronal migration and survival, and impaired synaptogenesis(34). The mechanisms may be more indirect, including the initiation of epigenetic-mediated changes that contribute to neuronal death, impededence production of neuroprotective proteins, and/or interference with neuroplasticity mechanisms.(29, 35–39) In addition, it is possible that disturbance of the infant’s systemic immune-inflammatory balance may affect the establishment of a healthy microbiome at birth with consequent microbiota-mediated harmful effects on the brain.(40, 41)
Aside from the ELGAN Study, only two studies have assessed relationships between inflammation-related proteins(42, 43) in neonatal blood and subsequent developmental outcomes; one involved infants born at less than 1 kilogram(42), and the other 67 infants born at less than 32 weeks gestation.(43) Both studies associated TNF-alpha with poor cognitive outcomes. One also identified an elevation of IL-8(42) and the other an elevation of IL-6(43) as associated with decreased scores on one of the two Bayley Scales of Infant Development at 2 years of age. A large study that evaluated proteins in cord blood(44) did not identify any protein elevation as being associated with low Bayley MDI or PDI. Our study differed from these in that we examined school age outcomes, evaluated proteins over the course of the first month of life, and investigated sustained elevation of proteins.
Among adults, neurologic injury after cardiac arrest or severe head trauma is associated with elevations of many inflammatory markers, most elevations, which resolve within 12 hours.(45) Persisting IL-8 (and E-selectin) elevations, much as in our study, however, are associated with greater degrees of neurologic injury.(46) The elevations of inflammation-related proteins early in life that are associated with later cognitive impairment appear to persist for weeks. Although inflammation also might be a consequence of brain injury, evidence suggests that the process of inflammation resolution promotes feedback-loops between the immune system and the brain damage,(47) leading to augmented brain damage and increased neurologic dysfunction.(48)
The persistence of risk through the first 4 weeks of life and the limited risk associated with protein elevation on the first day of life imply a later and broader window of vulnerability than previously recognized, when specific therapeutic interventions targeting inflammatory processes might effectively decrease the risk of adverse outcomes. Therapies that can modulate inflammation, such as hypothermia(49), erythropoietin(50), and melatonin(50–52) show promise as strategies to improve brain-related outcomes in newborns. Inflammation(53–55), developmental regulation of immunity(56), immune response to infections(57), and stress-induced immune dysregulation(58) may be influenced by epigenetic alterations that activate the expression of pro-inflammatory cytokines. Pharmacologic agents that target epigenetic processes (e.g. histone deacteylase inhibitors(59–61) and folate, a one-carbon donor for DNA methlhylation(62)) show promise as therapies for dampening inflammation or its effects in the postnatal period.
Our data suggest that IL-8 and ICAM-1 are important risk modulators for cognitive outcome. IL-8, a chemokine, previously has been implicated as a marker of adverse neurologic outcomes in preterm newborns(63, 64) and in adults following cardiac arrest(65). IL-8 plays a role in acute inflammation by recruiting and activating neutrophils(66) and specifically has been associated with increased risk of psychomotor development index < 70(42). ICAM-1 is an adhesion molecule and is thought to play a crucial role in the pathogenesis of inflammation. Simvastatin reduces expression of ICAM-1 and has been associated with improved outcomes in a rat model of traumatic brain injury(67). Elevations of ICAM-1 in humans with stroke have been associated with more severe neurologic deficits(68, 69). Both IL-8 and ICAM-1 also specifically were elevated in our cohort of infants with cerebral white matter injury and/or intraventricular hemorrhage on early head ultrasound studies(27, 70), and in children at age 2 years with microcephaly(26), abnormal cognition(14), attentional disorders(71), and cerebral palsy(25).
The association of later adverse outcomes with the presence of early-life circulating inflammatory proteins probably is modulated by other factors associated with immaturity, including the availability of endogenous protective factors (72),(73),(74), such as oligotrophins. Heightened production and availability of oligotrophins could modulate the damaging effects associated with inflammation, for example, by enhancing cell development and/or survival (73). In this report we focus on risk associated with cytokines and other effectors of acute inflammation, but a clearer understanding of the relationship of inflammation to neuronal risk and later cognitive consequences could derive from consideration of endogenous protectors as well.
Our study has several strengths. We included a large number of infants, collected our data prospectively, had only modest attrition across 10 years of follow-up, examiners at 2 and 10 years were not aware of the medical histories of the children they examined, and measured protein data are of high quality, with high content validity.(22, 23, 75)
A limitations of an observational study is that causation and association of study findings cannot be distinguished. Although we sampled a wide range of inflammation-associated proteins, including specific proteins known to be associated with neurologic damage, we did not evaluate all known inflammation-associated proteins. We selected proteins on the basis of likely involvement in the fetal/neonatal inflammatory response and the accuracy with which they could be measured reliably in whole blood spots using the Meso Scale Discovery multiplex platform. It is likely that the 532 children who underwent late protein assessments were more ill than those who no longer required blood samples. Even though this probably does not bias associations, it could limit the degree to which these associations can be generalized to healthier preterm infants. Finally, rather than report absolute protein concentration values, we used a distribution-based definition of protein elevation according to gestational age, postnatal day, and the interval between processing blood samples, because normal values are not known and values appear to be influenced by these factors.
Acknowledgments
We thank the ELGAN Study participants and their families for their willingness to be engaged in the study for these many years and for the commitment and extra efforts that have made this work possible. We also acknowledge the inspiration, guidance and collaboration of Alan Levition, MD, and Elizabeth Allred, MS, in conducting these analyses.
Supported by the National Institute of Neurological Disorders and Stroke (5U01NS040069-05 and 2R01NS040069-09) and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (5P30HD018655-28). J.F. has received research support from Janssen Research and Development, SyneuRex International Corp and Neuren Pharmaceuticals (2014–2016); and she has served on a data safety monitoring board for Forrest Pharmaceuticals.
Abbreviations
- ELGAN
Extremely low gestational age newborn
- NICU
Neonatal intensive care unit
- BSID-II
Bayley Scales of Infant Development - Second Edition
- MDI
mental development index of the BSID-II
- PDI
psychomotor development index of the BSID-II
- CRP
C-Reactive Protein
- E-sel
E-selectin
- EPO
Erythropoietin
- IL-1β
Interleukin-1β
- IL-6
Interleukin-6
- IL-6R
Interleukin-6 Receptor
- IL-8
Interleukin-8
- ICAM-1
Intercellular Adhesion Molecule −1
- ICAM-3
Intercellular Adhesion Molecule −3
- IGFBP-1
Insulin-like growth factor binding protein-1
- I-TAC
Interferon-inducible T cell alpha-chemoattractant
- MMP-9
Matrix Metalloproteinase-9
- MCP-1
Monocyte chemotactic protein-1
- MCP-4
Monocyte chemotactic protein-4
- MIP-1 beta
Macrophage inflammatory protein-1beta
- MMP-1
Metalloproteinase-1
- MMP-9
Metalloproteinase-9
- MPO
Myeloperoxidase
- RANTES
Regulated upon Activation, Normal T-cell Expressed, and Secreted
- SAA
Serum Amyloid A
- TNF-α
Tumor Necrosis Factor-α
- TNF-R2
Tumor Necrosis Factor Receptor-1
- TNF-R1
Tumor Necrosis Factor Receptor-2
- TSH
thyroid-stimulating hormone
- VCAM-1
Vascular cell adhesion molecule-1
- VEGF
Vascular Endothelial Growth Factor Receptor-1
- VEGF-R1
Vascular Endothelial Growth Factor Receptor-2
Appendix
Additional ELGAN Study Investigators include:
Boston Children’s Hospital, Boston, MA: Janice Ware, PhD, Taryn Coster, BA, Brandi Hanson, PsyD, Rachel Wilson, PhD, Kirsten McGhee, PhD, Patricia Lee, PhD, Aimee Asgarian, PhD, Anjali Sadhwani, PhD; Tufts Medical Center, Boston, MA: Ellen Perrin, MD, Emily Neger, MA, Kathryn Mattern, BA, Jenifer Walkowiak, PhD, Susan Barron, PhD; Baystate Medical Center, Springfield, MA: Bhavesh Shah, MD, Rachana Singh, MD, MS, Anne Smith, PhD, Deborah Klein, BSN, RN, Susan McQuiston, PhD; University of Massachusetts Medical School, Worcester, MA: Lauren Venuti, BA, Beth Powers, RN, Ann Foley, Ed M, Brian Dessureau, PhD, Molly Wood, PhD, Jill Damon-Minow, PsyD; Yale University School of Medicine, New Haven, CT: Richard Ehrenkranz, MD, Jennifer Benjamin, MD, Elaine Romano, APRN, Kathy Tsatsanis, PhD, Katarzyna Chawarska, PhD, Sophy Kim, PhD, Susan Dieterich, PhD, Karen Bearrs, PhD; Wake Forest University Baptist Medical Center, Winston-Salem, NC: Nancy Peters, RN, Patricia Brown, BSN, Emily Ansusinha, BA, Ellen Waldrep, PhD, Jackie Friedman, PhD, Gail Hounshell. PhD, Debbie Allred, PhD; University Health Systems of Eastern Carolina, Greenville, NC: Stephen C. Engelke, MD, Nancy Darden-Saad, BS, RN, CCRC, Gary Stainback, PhD; North Carolina Children’s Hospital, Chapel Hill, NC: Diane Warner, MD, MPH, Janice Wereszczak, MSN, PNP, Janice Bernhardt, MS, RN, Joni McKeeman, PhD, Echo Meyer, PhD; Helen DeVos Children’s Hospital, Grand Rapids, MI: Steve Pastyrnak, PHD, Julie Rathbun, BSW, BSN, RN, Sarah Nota, BS, Teri Crumb, BSN, RN, CCRC; Sparrow Hospital, Lansing, MI: Madeleine Lenski, MPH, Deborah Weiland, MSN, Megan Lloyd, MA, EdS; University of Chicago Medical Center, Chicago, IL: Scott Hunter, PhD, Michael Msall, MD, Rugile Ramoskaite, BA, Suzanne Wiggins, MA, Krissy Washington, MA, Ryan Martin, MA, Barbara Prendergast, BSN, RN, Megan Scott, PhD; William Beaumont Hospital, Royal Oak, MI: Judith Klarr, MD, Beth Kring, RN, Jennifer DeRidder, RN, Kelly Vogt, PhD.
Footnotes
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Citations
- 1.Washburn LK, Dillard RG, Goldstein DJ, Klinepeter KL, deRegnier RA, O’Shea TM. Survival and major neurodevelopmental impairment in extremely low gestational age newborns born 1990–2000: a retrospective cohort study. BMC Pediatr. 2007;7:20. doi: 10.1186/1471-2431-7-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Escobar GJ, Littenberg B, Petitti DB. Outcome among surviving very low birthweight infants: a meta-analysis. Arch Dis Childhood. 1991;66:204–211. doi: 10.1136/adc.66.2.204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hack M, Fanaroff AA. Outcomes of children of extremely low birthweight and gestational age in the 1990s. Seminars in Neonatology. 2000;5:89–106. doi: 10.1053/siny.1999.0001. [DOI] [PubMed] [Google Scholar]
- 4.Wood NS, Marlow N, Costeloe K, Gibson AT, Wilkinson AR. Neurologic and developmental disability after extremely preterm birth. EPICure Study Group. N Engl J Med. 2000;343:378–384. doi: 10.1056/NEJM200008103430601. [DOI] [PubMed] [Google Scholar]
- 5.Wilson-Costello D, Friedman H, Minich N, Fanaroff AA, Hack M. Improved survival rates with increased neurodevelopmental disability for extremely low birth weight infants in the 1990s. Pediatrics. 2005;115:997–1003. doi: 10.1542/peds.2004-0221. [DOI] [PubMed] [Google Scholar]
- 6.Stephens BE, Vohr BR. Neurodevelopmental outcome of the premature infant. Pediatric Clinics of North America. 2009;56:631–646. doi: 10.1016/j.pcl.2009.03.005. [DOI] [PubMed] [Google Scholar]
- 7.Watts JL, Saigal S. Outcome of extreme prematurity: as information increases so do the dilemmas. Arch Dis Child Fetal Neonatal Ed. 2006;91:F221–F225. doi: 10.1136/adc.2005.071928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Saigal S, den Ouden L, Wolke D, Hoult L, Paneth N, Streiner DL, et al. School-age outcomes in children who were extremely low birth weight from four international population-based cohorts. Pediatrics. 2003;112:943–950. doi: 10.1542/peds.112.4.943. [DOI] [PubMed] [Google Scholar]
- 9.Nyden A, Myren KJ, Gillberg C. Long-term psychosocial and health economy consequences of ADHD, autism, and reading-writing disorder: a prospective service evaluation project. J Atten Disord. 2008;12:141–148. doi: 10.1177/1087054707306116. [DOI] [PubMed] [Google Scholar]
- 10.Stiles J, Reilly J, Paul B, Moses P. Cognitive development following early brain injury: evidence for neural adaptation. Trends Cogn Sci. 2005;9:136–143. doi: 10.1016/j.tics.2005.01.002. [DOI] [PubMed] [Google Scholar]
- 11.Marlow N, Wolke D, Bracewell MA, Samara M, Group EPS. Neurologic and developmental disability at six years of age after extremely preterm birth.[see comment] New England Journal of Medicine. 2005;352(1):9–19. doi: 10.1056/NEJMoa041367. [DOI] [PubMed] [Google Scholar]
- 12.Hack M, Taylor HGDD, Schluchter M, Cartar L, Andreias L, Wilson-Costello D. Poor predictive validity of the Bayley Scales of Infant Development for cognitive function of extremely low birth weight children at school age. Pediatrics. 2005;116:331–341. doi: 10.1542/peds.2005-0173. [DOI] [PubMed] [Google Scholar]
- 13.Tommiska V, Heinonen K, Lehtonen L, Renlund M, Saarela T, Tammela O, et al. No improvement in outcome of nationwide extremely low birth weight infant populations between 1996–1997 and 1999–2000. Pediatrics. 2007;119:29–36. doi: 10.1542/peds.2006-1472. [DOI] [PubMed] [Google Scholar]
- 14.O’Shea TM, Allred EN, Kuban KC, Dammann O, Paneth N, Fichorova R, et al. Elevated concentrations of inflammation-related proteins in postnatal blood predict severe developmental delay at 2 years of age in extremely preterm infants. J Pediatr. 2012;160:395–401. doi: 10.1016/j.jpeds.2011.08.069. e4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.O’Shea TM, Shah B, Allred EN, Fichorova RN, Kuban KC, Dammann O, et al. Inflammation-initiating illnesses, inflammation-related proteins, and cognitive impairment in extremely preterm infants. Brain Behav Immun. 2013;29:104–112. doi: 10.1016/j.bbi.2012.12.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Leviton A, Allred EN, Fichorova RN, Kuban KC, Michael O’Shea T, Dammann O. Systemic inflammation on postnatal days 21 and 28 and indicators of brain dysfunction 2years later among children born before the 28th week of gestation. Early Hum Dev. 2015;93:25–32. doi: 10.1016/j.earlhumdev.2015.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Roberts G, Anderson PJ, Doyle LW. The stability of the diagnosis of developmental disability between ages 2 and 8 in a geographic cohort of very preterm children born in 1997. Arch Dis Child. 2010;95:786–790. doi: 10.1136/adc.2009.160283. [DOI] [PubMed] [Google Scholar]
- 18.Grunau RE, Whitfield MF, Fay TB. Psychosocial and academic characteristics of extremely low birth weight (< or =800 g) adolescents who are free of major impairment compared with term-born control subjects. Pediatrics. 2004;114:e725–e732. doi: 10.1542/peds.2004-0932. [DOI] [PubMed] [Google Scholar]
- 19.Elliott CD. Differential ability scales. second. San Antonio, TX: The Psychological Corporation; 2007. [Google Scholar]
- 20.Korkman M, Kirk U, Kemp S. NEPSY-II, second edition: Clinical and interpretive manual. 2007 [Google Scholar]
- 21.Fichorova RN, Beatty N, Sassi RR, Yamamoto HS, Allred EN, Leviton A. Systemic inflammation in the extremely low gestational age newborn following maternal genitourinary infections. Am J Reprod Immunol. 2015;73:162–174. doi: 10.1111/aji.12313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Fichorova RN, Onderdonk AB, Yamamoto H, Delaney ML, DuBois AM, Allred E, et al. Maternal microbe-specific modulation of inflammatory response in extremely low-gestational-age newborns. MBio. 2011;2:e00280–e00210. doi: 10.1128/mBio.00280-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Leviton A, Fichorova R, Yamamoto Y, Allred EN, Dammann O, Hecht J, et al. Inflammation-related proteins in the blood of extremely low gestational age newborns. The contribution of inflammation to the appearance of developmental regulation. Cytokine. 2011;53:66–73. doi: 10.1016/j.cyto.2010.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Leviton A, Allred EN, Yamamoto H, Fichorova RN, Investigators ES. Relationships among the concentrations of 25 inflammation-associated proteins during the first postnatal weeks in the blood of infants born before the 28th week of gestation. Cytokine. 2012;57:182–190. doi: 10.1016/j.cyto.2011.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kuban KCK, O’Shea TM, Alled EN, Paneth N, Hirtz D, Fichorova RN, Leviton A. Systemic inflammation and cerebral palsy risk in extremely preterm infants. Journal of Child Neurology. 2014;29:1692–1698. doi: 10.1177/0883073813513335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Leviton A, Kuban KC, Allred EN, Fichorova RN, O’Shea TM, Paneth N, et al. Early postnatal blood concentrations of inflammation-related proteins and microcephaly two years later in infants born before the 28th post-menstrual week. Early Hum Dev. 2011;87:325–330. doi: 10.1016/j.earlhumdev.2011.01.043. [DOI] [PubMed] [Google Scholar]
- 27.Leviton A, Kuban K, O’Shea TM, Paneth N, Fichorova R, Allred EN, et al. The relationship between early concentrations of 25 blood proteins and cerebral white matter injury in preterm newborns: the ELGAN study. J Pediatr. 2011;158:897–903. doi: 10.1016/j.jpeds.2010.11.059. e1–5. [DOI] [PubMed] [Google Scholar]
- 28.Leviton A, Allred EN, Fichorova RN, Kuban KC, Michael O’Shea T, Dammann O, et al. Systemic inflammation on postnatal days 21 and 28 and indicators of brain dysfunction 2years later among children born before the 28th week of gestation. Early Hum Dev. 2016;93:25–32. doi: 10.1016/j.earlhumdev.2015.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Dammann O, Leviton A. Intermittent or sustained systemic inflammation and the preterm brain. Pediatr Res. 2014;75:376–380. doi: 10.1038/pr.2013.238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Leviton A, Fichorova RN, O’Shea TM, Kuban K, Paneth N, Dammann O, et al. Two-hit model of brain damage in the very preterm newborn: small for gestational age and postnatal systemic inflammation. Pediatr Res. 2013;73:362–370. doi: 10.1038/pr.2012.188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Bose CL, Laughon MM, Allred EN, O’Shea TM, Van Marter LJ, Ehrenkranz RA, et al. Systemic inflammation associated with mechanical ventilation among extremely preterm infants. Cytokine. 2013;61:315–322. doi: 10.1016/j.cyto.2012.10.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Martin CR, Bellomy M, Allred EN, Fichorova RN, Leviton A. Systemic inflammation associated with severe intestinal injury in extremely low gestational age newborns. Fetal Pediatr Pathol. 2013;32:222–234. doi: 10.3109/15513815.2012.721477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Leviton A, O’Shea TM, Bednarek FJ, Allred EN, Fichorova RN, Dammann O, et al. Systemic responses of preterm newborns with presumed or documented bacteraemia. Acta Paediatr. 2012;101:355–359. doi: 10.1111/j.1651-2227.2011.02527.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Hagberg H, Mallard C, Ferriero DM, Vannucci SJ, Levison SW, Vexler ZS, et al. The role of inflammation in perinatal brain injury. Nat Rev Neurol. 2015;11:192–208. doi: 10.1038/nrneurol.2015.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Aden U, Favrais G, Plaisant F, Winerdal M, Felderhoff-Mueser U, Lampa J, et al. Systemic inflammation sensitizes the neonatal brain to excitotoxicity through a pro-/anti-inflammatory imbalance: key role of TNFalpha pathway and protection by etanercept. Brain Behav Immun. 2010;24:747–758. doi: 10.1016/j.bbi.2009.10.010. [DOI] [PubMed] [Google Scholar]
- 36.Debillon T, Gras-Leguen C, Verielle V, Winer N, Caillon J, Roze JC, et al. Intrauterine infection induces programmed cell death in rabbit periventricular white matter. Pediatr Res. 2000;47:736–742. doi: 10.1203/00006450-200006000-00009. [DOI] [PubMed] [Google Scholar]
- 37.Degos V, Favrais G, Kaindl AM, Peineau S, Guerrot AM, Verney C, et al. Inflammation processes in perinatal brain damage. J Neural Transm. 117:1009–1017. doi: 10.1007/s00702-010-0411-x. [DOI] [PubMed] [Google Scholar]
- 38.Favrais G, van de Looij Y, Fleiss B, Ramanantsoa N, Bonnin P, Stoltenburg-Didinger G, et al. Systemic inflammation disrupts the developmental program of white matter. Ann Neurol. 2011;70:550–565. doi: 10.1002/ana.22489. [DOI] [PubMed] [Google Scholar]
- 39.Hagberg H, Gressens P, Mallard C. Inflammation during fetal and neonatal life: implications for neurologic and neuropsychiatric disease in children and adults. Ann Neurol. 2012;71:444–457. doi: 10.1002/ana.22620. [DOI] [PubMed] [Google Scholar]
- 40.Collado MC, Cernada M, Neu J, Perez-Martinez G, Gormaz M, Vento M. Factors influencing gastrointestinal tract and microbiota immune interaction in preterm infants. Pediatr Res. 2015;77:726–731. doi: 10.1038/pr.2015.54. [DOI] [PubMed] [Google Scholar]
- 41.Sherman MP, Zaghouani H, Niklas V. Gut microbiota, the immune system, and diet influence the neonatal gut-brain axis. Pediatr Res. 2015;77:127–135. doi: 10.1038/pr.2014.161. [DOI] [PubMed] [Google Scholar]
- 42.Carlo WA, McDonald SA, Tyson JE, Stoll BJ, Ehrenkranz RA, Shankaran S, et al. Cytokines and neurodevelopmental outcomes in extremely low birth weight infants. J Pediatr. 2011;159:919–925. doi: 10.1016/j.jpeds.2011.05.042. e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Hansen-Pupp I, Hallin A-L, Hellstrom-Westas L, Cilio C, Berg A-C, Stjernqvist K, et al. Inflammation at birth is associated with subnormal development in very preterm infants. Pediatr Res. 2008;64:183–188. doi: 10.1203/PDR.0b013e318176144d. [DOI] [PubMed] [Google Scholar]
- 44.Varner MW, Marshall NE, Rouse DJ, Jablonski KA, Leveno KJ, Reddy UM, et al. The association of cord serum cytokines with neurodevelopmental outcomes. Am J Perinatol. 2015;30:115–122. doi: 10.1055/s-0034-1376185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Helmy A, De Simoni MG, Guilfoyle MR, Carpenter KL, Hutchinson PJ. Cytokines and innate inflammation in the pathogenesis of human traumatic brain injury. Prog Neurobiol. 2011;95:352–372. doi: 10.1016/j.pneurobio.2011.09.003. [DOI] [PubMed] [Google Scholar]
- 46.Mussack T, Biberthaler P, Gippner-Steppert C, Kanz KG, Wiedemann E, Mutschler W, et al. Early cellular brain damage and systemic inflammatory response after cardiopulmonary resuscitation or isolated severe head trauma: a comparative pilot study on common pathomechanisms. Resuscitation. 2001;49:193–199. doi: 10.1016/s0300-9572(00)00346-4. [DOI] [PubMed] [Google Scholar]
- 47.Matzinger P. The danger model: a renewed sense of self. Science. 2002;296:301–305. doi: 10.1126/science.1071059. [DOI] [PubMed] [Google Scholar]
- 48.Leviton A, Dammann O, Durum S. The adaptive immune response in neonatal cerebral white matter damage. Ann Neurol. 2005;58:821–828. doi: 10.1002/ana.20662. [DOI] [PubMed] [Google Scholar]
- 49.Shankaran S, Laptook AR, Ehrenkranz RA, Tyson JE, McDonald SA, Donovan EF, et al. Whole-body hypothermia for neonates with hypoxic-ischemic encephalopathy. N Engl J Med. 2005;353(15):1574–1584. doi: 10.1056/NEJMcps050929. [DOI] [PubMed] [Google Scholar]
- 50.Juul SE, Ferriero DM. Pharmacologic neuroprotective strategies in neonatal brain injury. Clin Perinatol. 2014;41:119–131. doi: 10.1016/j.clp.2013.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Robertson NJ, Faulkner S, Fleiss B, Bainbridge A, Andorka C, Price D, et al. Melatonin augments hypothermic neuroprotection in a perinatal asphyxia model. Brain. 2013;136:90–105. doi: 10.1093/brain/aws285. [DOI] [PubMed] [Google Scholar]
- 52.Welin AK, Svedin P, Lapatto R, Sultan B, Hagberg H, Gressens P, et al. Melatonin reduces inflammation and cell death in white matter in the mid-gestation fetal sheep following umbilical cord occlusion. Pediatr Res. 2007;61:153–158. doi: 10.1203/01.pdr.0000252546.20451.1a. [DOI] [PubMed] [Google Scholar]
- 53.Shanmugam MK, Sethi G. Role of epigenetics in inflammation-associated diseases. Subcell Biochem. 2012;61:627–657. doi: 10.1007/978-94-007-4525-4_27. [DOI] [PubMed] [Google Scholar]
- 54.Portela A, Esteller M. Epigenetic modifications and human disease. Nat Biotechnol. 2010;28:1057–1068. doi: 10.1038/nbt.1685. [DOI] [PubMed] [Google Scholar]
- 55.Stender JD, Glass CK. Epigenomic control of the innate immune response. Curr Opin Pharmacol. 2013;13:582–587. doi: 10.1016/j.coph.2013.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Adkins B. Neonatal immunology: responses to pathogenic microorganisms and epigenetics reveal an “immunodiverse” developmental state. Immunol Res. 2013;57:246–257. doi: 10.1007/s12026-013-8439-2. [DOI] [PubMed] [Google Scholar]
- 57.Bierne H, Hamon M, Cossart P. Epigenetics and bacterial infections. Cold Spring Harb Perspect Med. 2012;2:a010272. doi: 10.1101/cshperspect.a010272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Mathews HL, Konley T, Kosik KL, Krukowski K, Eddy J, Albuquerque K, et al. Epigenetic patterns associated with the immune dysregulation that accompanies psychosocial distress. Brain Behav Immun. 2011;25:830–839. doi: 10.1016/j.bbi.2010.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Ciarlo E, Savva A, Roger T. Epigenetics in sepsis: targeting histone deacetylases. Int J Antimicrob Agents. 2013;42(Suppl):S8–S12. doi: 10.1016/j.ijantimicag.2013.04.004. [DOI] [PubMed] [Google Scholar]
- 60.Cantley MD, Fairlie DP, Bartold PM, Marino V, Gupta PK, Haynes DR. Inhibiting histone deacetylase 1 suppresses both inflammation and bone loss in arthritis. Rheumatology (Oxford) 2015;54:1713–1723. doi: 10.1093/rheumatology/kev022. [DOI] [PubMed] [Google Scholar]
- 61.Cantley MD, Haynes DR. Epigenetic regulation of inflammation: progressing from broad acting histone deacetylase (HDAC) inhibitors to targeting specific HDACs. Inflammopharmacology. 2013;21:301–307. doi: 10.1007/s10787-012-0166-0. [DOI] [PubMed] [Google Scholar]
- 62.Claycombe KJ, Brissette CA, Ghribi O. Epigenetics of inflammation, maternal infection, and nutrition. J Nutr. 2015;145:1109S–1115S. doi: 10.3945/jn.114.194639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Savman K, Blennow M, Hagberg H, Tarkowski E, Thoresen M, Whitelaw A. Cytokine response in cerebrospinal fluid from preterm infants with posthaemorrhagic ventricular dilatation. Acta Paediatr. 2002;91:1357–1363. doi: 10.1111/j.1651-2227.2002.tb02834.x. [DOI] [PubMed] [Google Scholar]
- 64.Kinjo T, Ohga S, Ochiai M, Honjo S, Tanaka T, Takahata Y, et al. Serum chemokine levels and developmental outcome in preterm infants. Early Hum Dev. 2011;87:439–443. doi: 10.1016/j.earlhumdev.2011.03.006. [DOI] [PubMed] [Google Scholar]
- 65.Oda Y, Tsuruta R, Kasaoka S, Inoue T, Maekawa T. The cutoff values of intrathecal interleukin 8 and 6 for predicting the neurological outcome in cardiac arrest victims. Resuscitation. 2009;80:189–193. doi: 10.1016/j.resuscitation.2008.10.001. [DOI] [PubMed] [Google Scholar]
- 66.Harada A, Sekido N, Akahoshi T, Wada T, Mukaida N, Matsushima K. Essential involvement of interleukin-8 (IL-8) in acute inflammation. J Leukoc Biol. 1994;56:559–564. [PubMed] [Google Scholar]
- 67.Wang KW, Chen HJ, Lu K, Liliang PC, Liang CL, Tsai YD, et al. Simvastatin attenuates the cerebral vascular endothelial inflammatory response in a rat traumatic brain injury. Ann Clin Lab Sci. 2014;44:145–150. [PubMed] [Google Scholar]
- 68.Wang JY, Zhou DH, Li J, Zhang M, Deng J, Gao C, et al. Association of soluble intercellular adhesion molecule 1 with neurological deterioration of ischemic stroke: The Chongqing Stroke Study. Cerebrovasc Dis. 2006;21:67–73. doi: 10.1159/000090005. [DOI] [PubMed] [Google Scholar]
- 69.Blum A, Khazim K, Merei M, Peleg A, Blum N, Vaispapir V. The stroke trial - can we predict clinical outcome of patients with ischemic stroke by measuring soluble cell adhesion molecules (CAM)? Eur Cytokine Netw. 2006;17:295–298. [PubMed] [Google Scholar]
- 70.Leviton A, Allred EN, Dammann O, Engelke S, Fichorova RN, Hirtz D, et al. Systemic inflammation, intraventricular hemorrhage, and white matter injury. J Child Neurol. 2013;28(12):1637–1645. doi: 10.1177/0883073812463068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.O’Shea TM, Joseph RM, Kuban KC, Allred EN, Ware J, Coster T, et al. Elevated blood levels of inflammation-related proteins are associated with an attention problem at age 24 mo in extremely preterm infants. Pediatr Res. 2014;75(6):781–787. doi: 10.1038/pr.2014.41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Leviton A, Blair E, Dammann O, Allred EN. The wealth of information conveyed by gestational age. J Pediatr. 2005;146:123–127. doi: 10.1016/j.jpeds.2004.09.028. [DOI] [PubMed] [Google Scholar]
- 73.Dammann O, Leviton A. Brain damage in preterm newborns: might enhancement of developmentally-regulated endogenous protection open a door for prevention? Pediatrics. 1999;104(3):541–550. doi: 10.1542/peds.104.3.541. [DOI] [PubMed] [Google Scholar]
- 74.Dammann O, Bueter W, Leviton A, Gressens P, Dammann CE. Neuregulin-1: a potential endogenous protector in perinatal brain white matter damage. Neonatology. 2008;93(3):182–187. doi: 10.1159/000111119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.McElrath TF, Fichorova RN, Allred EN, Hecht JL, Ismail MA, Yuan H, et al. Blood protein profiles of infants born before 28 weeks differ by pregnancy complication. Am J Obstet Gynecol. 2011;204(5):418 e1–418 e12. doi: 10.1016/j.ajog.2010.12.010. [DOI] [PubMed] [Google Scholar]