Increased intravitreal glucose in rhegmatogenous retinal detachment

Arndt, Carl; Hubault, Béatrice; Hayate, F; Barbe, Coralie; Afriat, Mickael; Gillery, Philippe; Ramont, Laurent; Henry, Adrien; Boulagnon‐Rombi, Camille

doi:10.1038/s41433-022-01968-w

Cited by 2 publications

(3 citation statements)

References 35 publications

(46 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other contributing factors included modifiable factors, such as APTT, BASP, GLB, GLU, MPV, PCT, and UA. Arndt C and colleague [ 22 ] found that intravitreal glucose concentration was higher in the RD group. Moreover, APTT, BASP, GLB, MPV, PCT, and UA indicate the whole body’s general homeostasis and inflammatory state.…”

Section: Discussionmentioning

confidence: 99%

“…Routine blood indices, biochemical indices, and coagulation indices can reflect a wide range of physiological and pathological states in the body [ 20 ], providing information on aspects such as inflammation, blood circulation, metabolic status, and tissue injury. Research indicates that blood markers of inflammation [ 21 ], glucose levels [ 22 ], and lipid levels [ 23 ] are associated with an increased risk of ocular diseases, including HM, and RD. Our previous study developed a routine blood parameters-based model for serial monitoring and predicting the occurrence of RD in HM [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia

Li,

et al. 2024

J Transl Med

View full text Add to dashboard Cite

Background Retinal detachment (RD) is a vision-threatening disorder of significant severity. Individuals with high myopia (HM) face a 2 to 6 times higher risk of developing RD compared to non-myopes. The timely identification of high myopia-related retinal detachment (HMRD) is crucial for effective treatment and prevention of additional vision impairment. Consequently, our objective was to streamline and validate a machine-learning model based on clinical laboratory omics (clinlabomics) for the early detection of RD in HM patients. Methods We extracted clinlabomics data from the electronic health records for 24,440 HM and 5607 HMRD between 2015 and 2022. Lasso regression analysis assessed fifty-nine variables, excluding collinear variables (variance inflation factor > 10). Four models based on random forest, gradient boosting machine (GBM), generalized linear model, and Deep Learning Model were trained for HMRD diagnosis and employed for internal validation. An external test of the models was done. Three random data sets were further processed to validate the performance of the diagnostic model. The primary outcomes were the area under the receiver operating characteristic curve (AUC) and the area under the precision-recall curve (AUCPR) to diagnose HMRD. Results Nine variables were selected by all models. Given the AUC and AUCPR values across the different sets, the GBM model was chosen as the final diagnostic model. The GBM model had an AUC of 0.8550 (95%CI = 0.8322–0.8967) and an AUCPR of 0.5584 (95%CI = 0.5250–0.5879) in the training set. The AUC and AUCPR in the internal validation were 0.8405 (95%CI = 0.8060–0.8966) and 0.5355 (95%CI = 0.4988–0.5732). During the external test evaluation, it reached an AUC of 0.7579 (95%CI = 0.7340–0.7840) and an AUCPR of 0.5587 (95%CI = 0.5345–0.5880). A similar discriminative capacity was observed in the three random data sets. The GBM model was well-calibrated across all the sets. The GBM-RD model was implemented into a web application that provides risk prediction for HM individuals. Conclusion GBM algorithms based on nine features successfully predicted the diagnosis of RD in patients with HM, which will help ophthalmologists to establish a preliminary diagnosis and to improve diagnostic accuracy in the clinic.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia

Li,

et al. 2024

J Transl Med

View full text Add to dashboard Cite

show abstract

“…Although surgery is an effective way to reattach the neurosensory and retinal pigment epithelium (RPE) layer, functional restoration requires more than physical recovery. 3 , 6 – 8 The degeneration of PR outer segments happens soon after detachment, but their recovery takes a long time after reattachment. 9 Thus, an effective therapeutic intervention is needed to protect PR from death and to improve their functional recovery.…”

mentioning

confidence: 99%

Attenuation of Microglial Activation and Pyroptosis by Inhibition of P2X7 Pathway Promotes Photoreceptor Survival in Experimental Retinal Detachment

Cao

Huang

Zou

et al. 2023

Invest. Ophthalmol. Vis. Sci.

View full text Add to dashboard Cite

Purpose Photoreceptor (PR) death is the ultimate cause of irreversible vision loss in retinal detachment (RD). Although microglial infiltration in the subretinal space (SRS) was observed after RD, the molecular mechanism underlying microglial activation and the outcomes of infiltrating microglia remain unclear. We aimed to uncover the mechanism of initiation of microglial activation to help explore potential therapy to promote PR survival. Methods An RD model was conducted by injecting sodium hyaluronate into SRS of C57BL/6J wild type mice. Adenosine triphosphate (ATP) was measured by a ATP Microplate Assay Kit. Bioinformatics analysis was used to evaluate the upregulated receptor relating to ATP binding in human datasets and mouse transcriptomes of RD. Expression of P2X7, its downstream signaling pathways, and microglial pyroptosis were confirmed by qPCR, WB, and immunofluorescence in vivo and in vitro. The cell viability of PR was measured by cell counting kit-8. Brilliant Blue G, a P2X7 antagonist, was subretinally or intraperitoneally injected to inhibit microglial activation in vivo and was applied for microglia cell line treatment in vitro. The decrease in microglial activation and pyroptosis was detected by immunofluorescence and WB. The protective effect on PR was measured by hematoxylin and eosin staining, TUNEL assay, and electroretinogram analysis. Results The results showed that extracellular ATP released in the SRS after RD triggered P2X7 activation and attracted microglia. The downstream cascade of inflammasome activation induced by P2X7 activation contributed to microglial pyroptosis and then to PR death. ATP-activated microglia led to PR death in vitro. P2X7 blockade rescued PR morphologically and functionally by inhibiting microglial activation and pyroptosis. Conclusions These results elucidate that ATP-induced P2X7-mediated microglial activation leads to microglial pyroptosis, contributing to PR death. Appropriate inhibition of microglial pyroptosis might serve as a pharmacotherapeutic strategy for decreasing PR death in RD.

show abstract

Increased intravitreal glucose in rhegmatogenous retinal detachment

Cited by 2 publications

References 35 publications

Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia

Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia

Attenuation of Microglial Activation and Pyroptosis by Inhibition of P2X7 Pathway Promotes Photoreceptor Survival in Experimental Retinal Detachment

Contact Info

Product

Resources

About