Related Experiment Video
Updated: Jan 27, 2026

Isolation of Sertoli Cells and Peritubular Cells from Rat Testes
Published on: February 8, 2016
Sertoli Cell Number Correlates with Serum Inhibin B in Infant Cryptorchid Boys
Abstract:
Postnatal maturation of Sertoli cells is crucial for male fertility. The aim of this study was to assess the association between the Sertoli cell number per tubule cross-section (SC/T), the serum level of the Sertoli cell-produced inhibin B, and the A-dark spermatogonia number per tubule (Ad/T) in cryptorchid boys. Forty infant cryptorchid boys aged 4-35 months (median: 13 months) were included in the study. During orchiopexy, blood samples for serum inhibin B, luteinizing hormone (LH), and follicle stimulating hormone (FSH) and testicular biopsies were obtained. Histological sections were evaluated by quantitative immunohistochemical and immunofluorescence analysis including VASA and SOX9 (Sertoli cell marker) in order to measure the tubular germ cell number (G/T), Ad/T, and SC/T. The SC/T correlated negatively with age (p < 0.0002) and positively with G/T, Ad/T, inhibin B, FSH, and LH (all p < 0.01). Inhibin B correlated with LH (p < 0.0001), but not with FSH (p = 0.2077). The SC/T:G/T ratio positively correlated with age (p < 0.0001). Boys with Ad spermatogonia at surgery had a higher number of Sertoli cells compared to boys without Ad spermatogonia. In conclusion, a correlation between Sertoli cell number and inhibin B was proven, indicating that inhibin B possibly reflects the function of Sertoli cells in infant cryptorchid boys.
Related Concept Videos
Correlations
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Correlation and Regression
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
Drug Dosing: Infants and Children

