What question did this study set out to answer?

To compare immune cell phenotypes in peripheral blood with splenic tissue patterns in sickle cell disease.

December 8, 2025BloodOpen Access

Follicular disorganization of the spleen in sickle cell disease identified by a convolutional neural network model

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Histopathologic study demonstrates immune dysregulation and follicular disorganization in sickle cell disease, indicating altered B cells.

To compare immune cell phenotypes in peripheral blood with splenic tissue patterns in sickle cell disease.
Analyzed fresh spleen tissue from 10 sickle cell disease patients and 2 hereditary spherocytosis controls.
Used histopathologic studies and immunohistochemical markers like Pax5 to assess splenic tissue.
Employed a convolutional neural network for follicle identification and segmentation from whole-slide images.
Conducted analyses with one-way ANOVA and Tukey's post hoc test.
Median of 33 follicles analyzed per subject, with similar counts for sickle cell disease and control groups.
Sickle cell disease spleens showed significantly higher mean intensity (27-57%) and percent positive cells (86-145%) compared to controls.
Indicated follicular disorganization in sickle cell disease with altered immune cell localization.

Szafran et al. (2025) studied this question.

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Histopathologic study demonstrates immune dysregulation and follicular disorganization in sickle cell disease, indicating altered B cells.