Impact of Platelet Count in Retinopathy of Prematurity

Şahinoğlu-Keşkek, Nedime; Gülcan, Hande; Yılmaz, Gürsel; Akkoyun, İmren

doi:10.4274/tjo.galenos.2020.01058

Cited by 10 publications

(7 citation statements)

References 31 publications

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“…In the same study, retinal VEGF-A expression was found to be induced with platelet depletion and decreased with platelet transfusion and that clinically, platelet deficiency is associated with severe ROP ( Cakir et al, 2018 ). Other studies have also shown this association ( Jensen et al, 2018 ; Parrozzani et al, 2021 ; Şahinoğlu Keşkek et al, 2020 ; Seliniotaki et al, 2022 ). A hospital based prospective study found that platelet transfusion protects against ROP development ( Faheem et al, 2021 ).…”

Section: Introductionsupporting

confidence: 55%

Retinopathy of prematurity: Metabolic risk factors

Nilsson

Hellström

et al. 2022

eLife

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At preterm birth, the retina is incompletely vascularized. Retinopathy of prematurity (ROP) is initiated by the postnatal suppression of physiological retinal vascular development that would normally occur in utero. As the neural retina slowly matures, increasing metabolic demand including in the peripheral avascular retina, leads to signals for compensatory but pathological neovascularization. Currently, only late neovascular ROP is treated. ROP could be prevented by promoting normal vascular growth. Early perinatal metabolic dysregulation is a strong but understudied risk factor for ROP and other long-term sequelae of preterm birth. We will discuss the metabolic and oxygen needs of retina, current treatments, and potential interventions to promote normal vessel growth including control of postnatal hyperglycemia, dyslipidemia and hyperoxia-induced retinal metabolic alterations. Early supplementation of missing nutrients and growth factors and control of supplemental oxygen promotes physiological retinal development. We will discuss the current knowledge gap in retinal metabolism after preterm birth.

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Section: Introductionsupporting

confidence: 55%

Retinopathy of prematurity: Metabolic risk factors

Nilsson

Hellström

et al. 2022

eLife

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“…In our cohort, the indication for transfusion was always made after confirming platelet values <50 000/μl. In this respect, Sahinoglu Keskek et al (2020) noted that a low platelet count in the first week of life is an independent risk factor for ROP.…”

Section: Discussionmentioning

confidence: 99%

Blood products transfusion and retinopathy of prematurity: A cohort study

Fernández

Campos‐Martínez

et al. 2022

Acta Ophthalmologica

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Aim:The aim of the study was to assess the influence of blood product transfusions on the development and severity of retinopathy of prematurity (ROP).Methods: A retrospective cohort study was conducted of very low birth weight (VLBW) newborns with less than 32 weeks gestational age (GA) admitted to the neonatal unit of a tertiary care hospital during the period from 1 January 2008 to 31 December 2021. Data on the degree of ROP and the transfusions received were obtained and analysed. Both univariate and multivariate analyses were performed, by logistic regression.Results: A total of 565 VLBW newborns were recruited, of whom 263 received a red blood cell transfusion prior to 36 weeks corrected GA. The newborns with ROP received significantly more red blood cell transfusions than those not presenting this condition. After adjusting for oxygen therapy and GA, the risk of ROP was found to be 2.77 times higher (95% CI 1.31-5.88) after receiving three or more transfusions, with a 3.95 times higher risk (95% CI 1.40-11.1) of developing severe ROP.Having received the first red blood cell transfusion before 32 weeks corrected GA is associated with an increased risk of ROP (OR 2.18; 95% CI: 1.09-4.36). Conclusion:In VLBW neonates, the number of red blood cell transfusions and their administration before 32 weeks corrected GA are important risk factors for ROP.

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“…The association with pulse pressure and blood pressure have been associated to diabetic retinopathy through arterial stiffness and vision impairment, which has been identified in multiple genes, including the ZFHX4 gene ( 26 , 33 , 34 ), the SHANK3 gene ( 35 ), and the WNT9B gene ( 34 ). The SHANK3 gene, expressed in the brain, has also been associated to fibrinogen levels and platelet count, which has been reported to be risk factors in the development and progression of retinopathy ( 36 – 40 ).…”

Section: Resultsmentioning

confidence: 99%

Microvascular and macrovascular complications of type 2 diabetes mellitus: Exome wide association analyses

et al. 2023

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BackgroundType 2 diabetes mellitus (T2DM) is a chronic, metabolic disorder in which concomitant insulin resistance and β-cell impairment lead to hyperglycemia, influenced by genetic and environmental factors. T2DM is associated with long-term complications that have contributed to the burden of morbidity and mortality worldwide. The objective of this manuscript is to conduct an Exome-Wide Association Study (EWAS) on T2DM Emirati individuals to improve our understanding on diabetes-related complications to improve early diagnostic methods and treatment strategies.MethodsThis cross-sectional study recruited 310 Emirati participants that were stratified according to their medically diagnosed diabetes-related complications: diabetic retinopathy, diabetic neuropathy, diabetic nephropathy, and cardiovascular complications. The Illumina’s Infinium Exome-24 array was used and 39,840 SNPs remained for analysis after quality control.FindingsThe analysis revealed the associations of various genes with each complication category: 1) diabetic retinopathy was associated to SHANK3 gene in locus 22q13.33 (SNP rs9616915; p=5.18 x10-4), ZSCAN5A gene in locus 19q13.43 (SNP rs7252603; p=7.55 x10-4), and DCP1B gene in locus 12p13.33 (SNPs rs715146, rs1044950, rs113147414, rs34730825; p=7.62 x10-4); 2) diabetic neuropathy was associated to ADH4 gene in locus 4q23 (SNP rs4148883; p=1.23 x10-4), SLC11A1 gene in locus 2q35 (SNP rs17235409; p=1.85 x10-4), and MATN4 gene in locus 20q13.12 (SNP rs2072788; p=2.68 x10-4); 3) diabetic nephropathy was associated to PPP1R3A gene in locus 7q31.1 (SNP rs1799999; p=1.91 x10-4), ZNF136 gene in locus 19p13.2 (SNP rs140861589; p=2.80 x10-4), and HSPA12B gene in locus 20p13 (SNP rs6076550; p=2.86 x10-4); and 4) cardiovascular complications was associated to PCNT gene in locus 21q22.3 (SNPs rs7279204, rs6518289, rs2839227, rs2839223; p=2.18 x10-4,3.04 x10-4,4.51 x10-4,5.22 x10-4 respectively), SEPT14 gene in locus 7p11.2 (SNP rs146350220; p=2.77 x10-4), and WDR73 gene in locus 15q25.2 (SNP rs72750868; p=4.47 x10-4).InterpretationWe have identified susceptibility loci associated with each category of T2DM-related complications in the Emirati population. Given that only 16% of the markers from the Illumina’s Infinium Exome chip passed quality control assessment, this demonstrates that multiple variants were, either, monomorphic in the Arab population or were not genotyped due to the use of a Euro-centric EWAS array that limits the possibility of including targeted ethnic-specific SNPs. Our results suggest the alarming possibility that lack of representation in reference panels could inhibit discovery of functionally important loci associated to T2DM complications. Further effort must be conducted to improve the representation of diverse populations in genotyping and sequencing studies.

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Impact of Platelet Count in Retinopathy of Prematurity

Cited by 10 publications

References 31 publications

Retinopathy of prematurity: Metabolic risk factors

Retinopathy of prematurity: Metabolic risk factors

Blood products transfusion and retinopathy of prematurity: A cohort study

Microvascular and macrovascular complications of type 2 diabetes mellitus: Exome wide association analyses

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