The use of principal component analysis and self-organizing map to monitor inhibition of calcium oxalate crystal growth by Orthosiphon stamineus extract
Introduction
There are many theories for the formation of kidney stones. One of them, the crystallization precipitation theory, implies that supersaturation of urine leads to precipitation of stone crystallites. These critical particles become entrapped and subsequent crystal growth follows. The process of aggregation and secondary nucleation leads to the formation of large crystals, which ultimately develop into kidney stones [1]. Another theory, the inhibitory theory, suggests that normal urine contains substances that inhibit the crystallization of calcium oxalate. Inhibitors of crystal growth block the growth of crystals and prevent stone formation [2].
Other than normal drugs, herbals are also commonly used to treat urinary stones and studies of such local Malaysian medicinal plants confirm the presence of compounds that show inhibitory effect in growth of calcium oxalate [3].
Among the methods to measure the inhibitory activity of crystals are photometry [4], turbidimetry [5], mixed suspension mixed product removal MSMPR [6], use of Coulter counter [7], [8], [9] and spectrophotometry [10]. Each of this method has some advantages but there is no ideal technique. A comparison of seven different methods to measure crystallization in urine were reported in a workshop in 1987 and the approach of crystallization in gels contained in wells of microtitre plate gave good efficiency and was suggested for basic research and clinical routine [11]. In a subsequent workshop [12], problems relating to crystallization measurements were discussed, for example, Coulter counter analysis was laborious, and optical techniques involving densitometry approaches required high crystal density. However, most of above techniques measured inhibition indirectly and not the effect on single crystals.
Nowadays, the use of image analysis offers a way to quantify the variations in crystal population. Shape and size can be characterized subsequent to the visualization of the crystals by light microscopy. The quantitative description of the morphology of the produced crystals is with the use of different shape and size descriptors. A simple method that gives a rapid insight into the variations of these descriptors is by using principal component analysis (PCA) to summarize all the shape and size parameters as carried out by Bernard-Michel et al. [13]. Another approach is the use of self-organizing map (SOM), which was reported by Laitinen and coworkers [14] as giving a better perception of the distribution compared to PCA.
In this study, a modified Schneider's gel slide method [4] was used to study the inhibition of calcium oxalate crystal growth by 50% methanol extract of leaf of Orthosiphon stamineus at concentration of 5000 ppm. A positive control of sodium citrate 10 ppm solution was also used to monitor the inhibition. A large set of data consisting of size and shape parameters was produced by image analysis while PCA and SOM were used to analyze the data. The objective of this work, other than to monitor the inhibitory effect of the plant extract on crystal growth, was also to study the feasibility of using PCA and SOM on image analysis data of modified gel slide method to monitor the effects on crystals.
Section snippets
Gel slide method
A solution of 4 ml 1% bacteriological agar was used to coat a microscopic slide that was partitioned into three equal areas. Four wells were punched into the agar on each side of the partition. Two wells were made 1.25 cm apart along the longer axis while two wells were made 1.0 cm apart along the perpendicular axis as shown in Fig. 1. Solutions of 10 μl 0.2 M calcium chloride and ammonium oxalate were pipetted into opposite wells along the longer axis. Solutions of 10 μl from 50% methanol
Image analysis measurements
The monitoring of crystal growth was conducted with modification to Schneider's method [4]. In the Schneider's method, 3 ml of agar was used to coat the microscopic slide and technique of photometry, which produced a single parameter used to monitor the inhibition. In our work, we used 4 ml of agar and monitored inhibition using image analysis. However, the major modification was the distance between the two longitudinal wells that was reduced from 2.5 cm to 1.25 cm in our work. This was to
Conclusions
The modified gel Schneider's method with image analysis method combined with multivariate techniques of PCA and SOM was capable of monitoring the calcium oxalate crystal growth. The use of PCA enabled easy interpretation of the large data sets produced by reducing the dimension of the data. The score for principal component one of the rotated data matrixes is associated with size parameters, whereas the score for principal component two is associated with shape parameters. The principal
Acknowledgement
An Intensifying Research Priority Areas (IRPA) grant from the Ministry of Science, Technology and Environment (MOSTE), Malaysia supported the study. Saravanan Dharmaraj wishes to thank MOSTE for a PhD scholarship.
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