The Neurological Safety of an Epidurally Administered Lipo-PGE1 Agonist in Rats

Choi, Eun Joo; Im, Sun Min; Yoo, Hyung Seok; Nahm, Francis Sahngun; Kim, Yang Hyun; Choe, Gheeyoung; Lee, Pyung Bok

doi:10.1097/aap.0000000000000520

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…Drug therapy tests may involve administering these medications to animal models to evaluate their effectiveness in preventing or treating chromatolysis. 8 Therefore, identifying chromatolysis in the dorsal root ganglion (DRG), a cluster of nerve cell bodies located in the spinal cord can provide valuable information about the severity and progression of the disease.…”

Section: Introductionmentioning

confidence: 99%

Development of a Deep Learning Model for the Analysis of Dorsal Root Ganglion Chromatolysis in Rat Spinal Stenosis

Li,

Zheng,

Koh

et al. 2024

JPR

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Objective To create a deep learning (DL) model that can accurately detect and classify three distinct types of rat dorsal root ganglion neurons: normal, segmental chromatolysis, and central chromatolysis. The DL model has the potential to improve the efficiency and precision of neuron classification in research related to spinal injuries and diseases. Methods H&E slide images were divided into an internal training set (80%) and a test set (20%). The training dataset was labeled by two pathologists using pre-defined grades. Using this dataset, a two-component DL model was developed with the first component being a convolutional neural network (CNN) that was trained to detect the region of interest (ROI) and the second component being another CNN used for classification. Results A total of 240 lumbar dorsal root ganglion (DRG) pathology slide images from rats were analyzed. The internal testing results showed an accuracy of 93.13%, and the external dataset testing demonstrated an accuracy of 93.44%. Conclusion The DL model demonstrated a level of agreement comparable to that of pathologists in detecting and classifying normal and segmental chromatolysis neurons, although its agreement was slightly lower for central chromatolysis neurons. Significance: DL in improving the accuracy and efficiency of pathological analysis suggests that it may have a role in enhancing medical decision-making.

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Section: Introductionmentioning

confidence: 99%

Development of a Deep Learning Model for the Analysis of Dorsal Root Ganglion Chromatolysis in Rat Spinal Stenosis

Li,

Zheng,

Koh

et al. 2024

JPR

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Association Between Low-Density Lipoprotein Cholesterol and Platelet Distribution Width in Acute Ischemic Stroke

et al. 2021

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Objective: Elevated low-density lipoprotein cholesterol (LDL-C) is an established risk factor for ischemic stroke; however, whether LDL-C affects the platelet deformation function in the peripheral blood circulation in patients with acute ischemic stroke (AIS) is unknown. The present study aimed to investigate the relationship between LDL-C and platelet distribution width (PDW) in AIS patients.Methods: We conducted a cross-sectional hospitalized-based study of consecutive 438 patients with AIS within 24 h. Blood samples were collected upon admission and prior to drug administration, and LDL-C and PDW (a parameter that reflects the heterogeneity of platelet volume) were assessed. The relationship between LDL-C and PDW were analyzed by linear curve fitting analyses. Crude and adjusted beta coefficients of LDL-C for PDW with 95% confidence intervals were analyzed using multivariate-adjusted linear regression models.Results: The PDW was significantly higher in the high LDL-C group compared with those in the normal LDL-C group (16.28 ± 0.37 fl vs. 16.08 ± 0.37 fl, p < 0.001). Adjusted smoothed plots suggested that there are linear relationships between LDL-C and PDW, and the Pearson's correlation coefficient (95%) was 0.387 (0.304–0.464, p < 0.001). The beta coefficients (95% CI) between LDL-C and PDW were 0.15 (0.12–0.18, p < 0.001) and 0.14 (0.11–0.18, p < 0.001), respectively, in AIS patients before and after adjusting for potential confounders.Conclusion: Our study suggested that the elevated LDL-C level was related to increased PDW among AIS patients.

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The Neurological Safety of an Epidurally Administered Lipo-PGE1 Agonist in Rats

Abstract: Liposomal prostaglandin E1 agonist did not cause any apparent neurologic abnormalities in the spinal cord or dorsal root ganglion, suggesting it is neurologically safe for epidural injection in this species. Additional mammalian study is warranted.

Cited by 2 publications

References 25 publications

Development of a Deep Learning Model for the Analysis of Dorsal Root Ganglion Chromatolysis in Rat Spinal Stenosis

Development of a Deep Learning Model for the Analysis of Dorsal Root Ganglion Chromatolysis in Rat Spinal Stenosis

Association Between Low-Density Lipoprotein Cholesterol and Platelet Distribution Width in Acute Ischemic Stroke

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