Predictive Role of Urinary Metabolic Profile for Abnormal MRI Score in Preterm Neonates.
Predictive Role of Urinary Metabolic Profile for Abnormal MRI Score in Preterm Neonates.
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DOI：
10.1155/2018/4938194
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Benders MJNL
中科院分区：
文献类型：
--
作者：
Tataranno ML;Perrone S;Longini M;Coviello C;Tassini M;Vivi A;Calderisi M;deVries LS;Groenendaal F;Buonocore G;Benders MJNL
早期识别有脑损伤风险的新生儿对于开始适当的干预非常重要。尿代谢组学是一种潜在的、非侵入性的脑疾病生物标志物的来源。我们研究了同等足月年龄下MRI正常/轻度和中度/重度异常的早产儿在2天和10天时的尿液代谢特征。 在出生后2天和10天收集30名极早产儿的尿液样本，并使用质子磁共振波谱分析。在足月时进行3 T MRI，并对白色物质（WM）、皮质灰质（CGM）、深部GM和小脑异常进行评分。婴儿分为两组：正常/轻度和中度/严重异常MRI评分。 在两个时间点，所有区域的正常/轻度和中度/重度MRI评分之间均未观察到显着聚集。ROC曲线将出生后2天和10天的新生儿与其他新生儿区分开来，后者的CGM评分明显较低（2天：曲线下面积（AUC）= 0.72，特异性（SP）= 65%，灵敏度（SE）= 75%，10天：AUC = 0.80，SP = 78%，SE = 80%）和中度至重度异常WM评分（2 d：AUC = 0.71，特异性（SP）= 80%，敏感性（SE）= 72%; 10 d：AUC = 0.69，SP = 64%，SE = 89%）。 早产儿的早期尿谱能够区分在足月等效年龄时具有中度/重度异常CGM和WM评分的患者的代谢特征。尿光谱是有前途的早期识别新生儿脑损伤的风险，并允许了解改变大脑发育的发病机制。
Early identification of neonates at risk for brain injury is important to start appropriate intervention. Urinary metabolomics is a source of potential, noninvasive biomarkers of brain disease. We studied the urinary metabolic profile at 2 and 10 days in preterm neonates with normal/mild and moderate/severe MRI abnormalities at term equivalent age. Urine samples were collected at two and 10 days after birth in 30 extremely preterm infants and analyzed using proton magnetic resonance spectroscopy. A 3 T MRI was performed at term equivalent age, and images were scored for white matter (WM), cortical grey matter (cGM), deep GM, and cerebellar abnormalities. Infants were divided in two groups: normal/mild and moderately/severely abnormal MRI scores. No significant clustering was seen between normal/mild and moderate/severe MRI scores for all regions at both time points. The ROC curves distinguished neonates at 2 and 10 days who later developed a markedly less mature cGM score from the others (2 d: area under the curve (AUC) = 0.72, specificity (SP) = 65%, sensitivity (SE) = 75% and 10 d: AUC = 0.80, SP = 78%, SE = 80%) and a moderately to severely abnormal WM score (2 d: AUC = 0.71, specificity (SP) = 80%, sensitivity (SE) = 72% and 10 d: AUC = 0.69, SP = 64%, SE = 89%). Early urinary spectra of preterm infants were able to discriminate metabolic profiles in patients with moderately/severely abnormal cGM and WM scores at term equivalent age. Urine spectra are promising for early identification of neonates at risk of brain damage and allow understanding of the pathogenesis of altered brain development.
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DOI：
10.3109/14767058.2013.796170
发表时间：
2015-01-01
影响因子：
1.8
作者：
Perrone, Serafina;Tataranno, Luisa M.;Buonocore, Giuseppe
通讯作者：
Buonocore, Giuseppe
影响因子：
3.7
作者：
Limperopoulos, Catherine;Chilingaryan, Gevorg;du Plessis, Adre J.
通讯作者：
du Plessis, Adre J.
影响因子：
158.5
作者：
Woodward, Lianne J.;Anderson, Peter J.;Inder, Terrie E.
通讯作者：
Inder, Terrie E.
DOI：
10.1016/j.gpb.2015.08.005
发表时间：
2015-12
期刊：
Genomics, proteomics & bioinformatics
影响因子：
--
作者：
An M;Gao Y
通讯作者：
Gao Y
影响因子：
5.9
作者：
Moltu SJ;Sachse D;Blakstad EW;Strømmen K;Nakstad B;Almaas AN;Westerberg AC;Rønnestad A;Brække K;Veierød MB;Iversen PO;Rise F;Berg JP;Drevon CA
通讯作者：
Drevon CA