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Almutairi M, Chechalk K, Deane E, Fox R, Janes A, Maguire-Henry T, McCabe D, O'Connor C, Quirk J, Swan E, White K, McCreery K, Isweisi E, Stewart P, Branagan A, Roche EF, Meehan J, Molloy EJ. Biomarkers in retinopathy of prematurity: a systematic review and meta-analysis. Front Pediatr 2024; 12:1371776. [PMID: 38571701 PMCID: PMC10987861 DOI: 10.3389/fped.2024.1371776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/01/2024] [Indexed: 04/05/2024] Open
Abstract
Aim Retinopathy of prematurity is a significant global cause of childhood blindness. This study aims to identify serum biomarkers that are associated with the development of ROP. Methods A systematic review and meta-analysis was conducted using PRISMA guidelines. Three databases were searched (Pubmed, Scopus and Web of Science) from 2003 to March 2023. Only studies investigating serum biomarker levels in preterm infants (<37 weeks gestation) were included. Results Meta-analysis suggests that low serum IGF-1 levels have a strong association with the development of ROP [SMD (95% CI) of -.46 [-.63, -.30], p < .001]. Meta-analysis suggests that higher serum glucose levels were associated with the development of ROP [SMD (95% CI) of 1.25 [.94, 1.55], p < .001]. Meta-analysis suggests that thrombocytopenia is associated with the development of ROP [SMD (95% CI) of -.62 [-.86, -.37], p < .001]. Conclusion Low levels of serum IGF-1, high levels of serum glucose and thrombocytopenia all appear to have the strongest association with the development of ROP out of the 63 biomarkers investigated in this review. These associations highlight their potential use as diagnostic biomarkers in ROP, though further research is needed to establish the exact relationship between these biomarkers and disease pathogenesis.
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Affiliation(s)
- Mariam Almutairi
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Katherine Chechalk
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Emelia Deane
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Rebecca Fox
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Ava Janes
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Tidgh Maguire-Henry
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Devin McCabe
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Cole O'Connor
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Joseph Quirk
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Evan Swan
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Katherine White
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Kathryn McCreery
- Paediatric Ophthalmology, Children's Health Ireland (CHI) at Crumlin, Dublin, Ireland
| | - Eman Isweisi
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Philip Stewart
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Aoife Branagan
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Paediatrics, Coombe Hospital, Dublin, Ireland
| | - Edna F. Roche
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Trinity Research in Childhood Centre (TRiCC), Trinity College Dublin, Dublin, Ireland
- Endocrinology, Children's Health Ireland (CHI) at Tallaght, Dublin, Ireland
| | - Judith Meehan
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Trinity Research in Childhood Centre (TRiCC), Trinity College Dublin, Dublin, Ireland
- Trinity College Dublin, Trinity Translational Medicine Institute (TTMI), Trinity Centre for Health Sciences, St James Hospital, The University of Dublin, Dublin, Ireland
| | - Eleanor J. Molloy
- Discipline of Paediatrics, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Paediatrics, Coombe Hospital, Dublin, Ireland
- Trinity Research in Childhood Centre (TRiCC), Trinity College Dublin, Dublin, Ireland
- Endocrinology, Children's Health Ireland (CHI) at Tallaght, Dublin, Ireland
- Trinity College Dublin, Trinity Translational Medicine Institute (TTMI), Trinity Centre for Health Sciences, St James Hospital, The University of Dublin, Dublin, Ireland
- Neurodisability, Children’s Health Ireland (CHI) at Tallaght, Dublin, Ireland
- Neonatology, Children's Health Ireland (CHI) at Crumlin, Dublin, Ireland
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[Blood metabolites in preterm infants with retinopathy of prematurity based on tandem mass spectrometry: a preliminary study]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2023; 25:140-146. [PMID: 36854689 PMCID: PMC9979382 DOI: 10.7499/j.issn.1008-8830.2209142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
OBJECTIVES To study new biomarkers for the early diagnosis of retinopathy of prematurity (ROP) by analyzing the differences in blood metabolites based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) and metabolomics. METHODS Dried blood spots were collected from 21 infants with ROP (ROP group) and 21 infants without ROP (non-ROP group) who were hospitalized in the Sixth Affiliated Hospital of Sun Yat-sen University from January 2013 to December 2016. LC-MS/MS was used to measure the metabolites, and orthogonal partial least squares-discriminant analysis was used to search for differentially expressed metabolites and biomarkers. RESULTS There was a significant difference in blood metabolic profiles between the ROP and non-ROP groups. The pattern recognition analysis, Score-plot, and weight analysis obtained 10 amino acids with a relatively large difference. Further statistical analysis showed that the ROP group had significant increases in blood levels of glutamic acid, leucine, aspartic acid, ornithine, and glycine compared with the non-ROP group (P<0.05). The receiver operating characteristic curve analysis showed that glutamic acid and ornithine had the highest value in diagnosing ROP. CONCLUSIONS Blood metabolites in preterm infants with ROP are different from those without ROP. Glutamic acid and ornithine are the metabolic markers for diagnosing ROP. LC-MS/MS combined with metabolomics analysis has a potential application value in the early identification and diagnosis of ROP.
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Yang Y, Wu Z, Li S, Yang M, Xiao X, Lian C, Wen W, He H, Zeng J, Wang J, Zhang G. Targeted Blood Metabolomic Study on Retinopathy of Prematurity. Invest Ophthalmol Vis Sci 2020; 61:12. [PMID: 32049343 PMCID: PMC7326483 DOI: 10.1167/iovs.61.2.12] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Accepted: 10/20/2019] [Indexed: 12/19/2022] Open
Abstract
Purpose This study aims at exploring alterations of major metabolites and metabolic pathways in retinopathy of prematurity (ROP) infants and identifying biomarkers that may merit early diagnosis of ROP. Methods We analyzed targeted metabolites from 81 premature infants (<34 weeks of gestational age), including 40 ROP cases (15 males and 25 females, birth weight 1.263 ± 0. 345 kg, gestational age 31.20 ± 4.62 weeks) and 41 cases (30 males, 11 females, birth weight 1.220 ± 0.293 kg, gestational age 30.96 ± 4.17 weeks) of well-matched non-ROP controls. Metabolites were measured by ultra-performance liquid chromatography-tandem mass spectrometry. Standard multivariate and univariate analysis was performed to interpret metabolomic results. Results Glycine, glutamate, leucine, serine, piperidine, valine, tryptophan, citrulline, malonyl carnitine (C3DC), and homocysteine were identified as the top discriminant metabolites. In particular, discriminant concentrations of C3DC and glycine were also confirmed by univariate analysis as statistically significant different between ROP and non-ROP infants. Conclusions This study gained an insight into the metabolomic aspects of ROP development. We suggest that higher blood levels of C3DC and glycine can be promising biomarkers to predict the occurrence, but not the severity of ROP.
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Metabolism and Functions of Amino Acids in Sense Organs. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1265:201-217. [PMID: 32761578 DOI: 10.1007/978-3-030-45328-2_12] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Sense organs (eyes, ears, nose, tongue, and skin) provide senses of sight, hearing, smell, taste, and touch, respectively, to aid the survival, development, learning, and adaptation of humans and other animals (including fish). Amino acids (AAs) play an important role in the growth, development, and functions of the sense organs. Recent work has identified receptor-mediated mechanisms responsible for the chemosensory transduction of five basic taste qualities (sweet, sour, bitter, umami and salty tastes). Abnormal metabolism of AAs result in a structural deformity of tissues and their dysfunction. To date, there is a large database for AA metabolism in the eye and skin under normal (e.g., developmental changes and physiological responses) and pathological (e.g., nutritional and metabolic diseases, nutrient deficiency, infections, and cancer) conditions. Important metabolites of AAs include nitric oxide and polyamines (from arginine), melanin and dopamine (from phenylalanine and tyrosine), and serotonin and melatonin (from tryptophan) in both the eye and the skin; γ-aminobutyrate (from glutamate) in the retina; and urocanic acid and histamine (from histidine) in the skin. At present, relatively little is known about the synthesis or catabolism of AAs in the ears, nose, and tongue. Future research should be directed to: (1) address this issue with regard to healthy ageing, nasal and sinus cancer, the regulation of food intake, and oral cavity health; and (2) understand how prenatal and postnatal nutrition and environmental pollution affect the growth, development and health of the sense organs, as well as their expression of genes (including epigenetics) and proteins in humans and other animals.
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Guo JG, Guo XM, Wang XR, Tian JZ, Bi HS. Metabolic profile analysis of free amino acids in experimental autoimmune uveoretinitis rat plasma. Int J Ophthalmol 2019; 12:16-24. [PMID: 30662835 DOI: 10.18240/ijo.2019.01.03] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 11/21/2018] [Indexed: 12/13/2022] Open
Abstract
AIM To determine the differences of amino acid (AA) levels in experimental autoimmune uveoretinitis (EAU). METHODS AA analysis of the plasma samples in EAU rats induced by interphotoreceptor retinoid-binding protein emulsion were performed with high performance liquid chromatography (HPLC) and phenylisothiocyanate (PITC) pre-column derivation methods were performed. Using partial least squares discriminant analysis (PLS-DA), the potential biomarkers were identified in EAU rat plasma, and the metabolic pathways related to EAU were further analyzed. RESULTS The method results showed that linear (r≥0.9957), intra-day reproducible [relative standard deviation (RSD)=0.04%-1.33%], inter-day reproducible (RSD=0.06%-2.07%), repeatability (RSD=0.03%-0.89%), stability (RSD=0.05%-2.48%) and recovery (RSD=1.98%-4.39%), with detection limits of 0.853-11.4 ng/mL. The metabolic profile in EAU rats was different from that in the control groups five AAs concentrations were increased and nine AAs were reduced. Moreover, five metabolic pathways were related to the development of EAU. CONCLUSION The developed method is a simple, rapid and convenient for determination of AAs in EAU rat plasma, and these findings will provide a comprehensive insight on the metabolic profiling of the pathological changes in EAU.
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Affiliation(s)
- Jun-Guo Guo
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China.,Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan 250002, Shandong Province, China.,Eye Institute, Shandong University of Traditional Chinese Medicine, Jinan 250002, Shandong Province, China
| | - Xin-Miao Guo
- School of Management, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China
| | - Xing-Rong Wang
- Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan 250002, Shandong Province, China.,Eye Institute, Shandong University of Traditional Chinese Medicine, Jinan 250002, Shandong Province, China.,Affiliated Eye Hospital, Shandong University of Traditional Chinese Medicine, Jinan 250002, Shandong Province, China
| | - Jing-Zhen Tian
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China
| | - Hong-Sheng Bi
- Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan 250002, Shandong Province, China.,Eye Institute, Shandong University of Traditional Chinese Medicine, Jinan 250002, Shandong Province, China.,Affiliated Eye Hospital, Shandong University of Traditional Chinese Medicine, Jinan 250002, Shandong Province, China
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Rathnasamy G, Foulds WS, Ling EA, Kaur C. Glutamate Inhibits the Pro-Survival Effects of Insulin-Like Growth Factor-1 on Retinal Ganglion Cells in Hypoxic Neonatal Rat Retina. Mol Neurobiol 2016; 54:3453-3464. [DOI: 10.1007/s12035-016-9905-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Accepted: 05/03/2016] [Indexed: 11/29/2022]
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de Souza CF, Nivison-Smith L, Christie DL, Polkinghorne P, McGhee C, Kalloniatis M, Acosta ML. Macromolecular markers in normal human retina and applications to human retinal disease. Exp Eye Res 2016; 150:135-48. [PMID: 26769220 DOI: 10.1016/j.exer.2016.01.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 12/23/2015] [Accepted: 01/04/2016] [Indexed: 01/04/2023]
Abstract
Macromolecular cell markers are essential for the classification and characterization of the highly complex and cellularly diverse vertebrate retina. Although a plethora of markers are described in the current literature, the immunoreactivity of these markers in normal human tissue has not been fully determined. This is problematic as they are quintessential to the characterization of morphological changes associated with human retinal disease. This review provides an overview of the macromolecular markers currently available to assess human retinal cell types. We draw on immunohistochemical studies conducted in our laboratories to describe marker immunoreactivity in human retina alongside comparative descriptions in non-human tissues. Considering the growing number of eye banks services offering healthy and diseased human retinal tissue, this review provides a point of reference for future human retina studies and highlights key species specific disease applications of some macromolecular markers.
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Affiliation(s)
- Clairton F de Souza
- School of Optometry and Vision Science, University of Auckland, Auckland, 1023, New Zealand; Department of Ophthalmology, University of Auckland, Auckland, 1023, New Zealand
| | - Lisa Nivison-Smith
- Centre for Eye Health, University of New South Wales, Sydney, 2052, Australia; School of Optometry and Vision Science, University of New South Wales, Sydney, 2052, Australia
| | - David L Christie
- School of Biological Sciences, University of Auckland, Auckland, 1023, New Zealand
| | - Phillip Polkinghorne
- Department of Ophthalmology, University of Auckland, Auckland, 1023, New Zealand; New Zealand National Eye Centre, University of Auckland, Auckland, 1023, New Zealand
| | - Charles McGhee
- Department of Ophthalmology, University of Auckland, Auckland, 1023, New Zealand; New Zealand National Eye Centre, University of Auckland, Auckland, 1023, New Zealand
| | - Michael Kalloniatis
- School of Optometry and Vision Science, University of Auckland, Auckland, 1023, New Zealand; Centre for Eye Health, University of New South Wales, Sydney, 2052, Australia; School of Optometry and Vision Science, University of New South Wales, Sydney, 2052, Australia
| | - Monica L Acosta
- School of Optometry and Vision Science, University of Auckland, Auckland, 1023, New Zealand; New Zealand National Eye Centre, University of Auckland, Auckland, 1023, New Zealand.
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