White blood cell differentials performance of a new automated digital cell morphology analyzer: Mindray MC-80.

INTRODUCTION: The manual differential count has been recognized for its disadvantages, including large interobserver variability and labor intensiveness. In this light, automated digital cell morphology analyzers have been increasingly adopted in hematology laboratories for their robustness and convenience. This study aims to evaluate the white blood cell differential performance of the Mindray MC-80, the new automated digital cell morphology analyzer. METHODS: The cell identification performance of Mindray MC-80 was evaluated for sensitivity and specificity using pre-classification and post-classification of each cell class. The method comparison study used manual differentials as the gold standard for calculating Pearson correlation, Passing-Bablok regression, and Bland-Altman analysis. In addition, the precision study was performed and evaluated. RESULTS: The precision was within the acceptable limit for all cell classes. Overall, the specificity of cell identification was higher than 95% for all cell classes. The sensitivity was greater for 95% for most cell classes, except for myelocytes (94.9%), metamyelocytes (90.9%), reactive lymphocytes (89.7%), and plasma cells (60%). Pre-classification and post-classification results correlated well with the manual differential results for all the cell types investigated. The regression coefficients were greater than 0.9 for most cell classes except for promyelocytes, metamyelocytes, basophils, and reactive lymphocytes. CONCLUSION: The performance of Mindray MC-80 for white blood cell differentials is reliable and seems to be acceptable even in abnormal samples. However, the sensitivity is less than 95% for certain abnormal cell types, so the user should be aware of this limitation where such cells are suspected.

Retracted: White blood cell differentials performance of a new automated digital cell morphology analyzer: Mindray MC-80.

White blood cell differentials performance of a new automated digital cell morphology analyzer: Mindray MC-80, K. Paisooksantivatana; N. Khongjaroensakun; P. Chinudomwong; N. Chaothai; L. Chamchomdao; K. Suriyachand, International Journal of Laboratory Hematology, 10.1111/ijlh.13995 The above article, published online on 18 November 2022, in Wiley Online Library (wileyonlinelibrary.com), had been retracted by agreement between the authors, the journal's Editors-in-Chief, Giuseppe D'Onofrio and Ian Mackie, and John Wiley & Sons. The authors contacted the journal after publication to propose extensive changes to the data presented in the accepted article such that it would no longer reflect the version that was peer reviewed. As a result, this retraction has been undertaken.

Parathyroid hormone enhances osteoblast differentiation from human skin derived precursor cells in vitro.

Parathyroid hormone (PTH), a new effective treatment for osteoporosis patients which promotes the anabolic effect in vivo, can enhance the differentiation of osteoblasts derived from the human skin-derived precursor cells (hSKPs) in vitro culture. This research investigated the effects of PTH by studying the gene expressions and other markers of osteoblast differentiation along with the induction of hSKPs to osteoblast in two experiment groups, i.e. the osteogenic induction medium (OM) only and the OM plus PTH (OM + PTH). The results of each type were compared between these two groups. Both groups expressed the Cbfa1 gene, a regulator of osteoblasts and also one of the most osteoblast specific genes. The findings were that the OM + PTH group showed more intense alkaline phosphatase staining than the other. The gene expressions of protein showing the mature osteoblasts like osteocalcin (OCN) and bone sialoprotein (BSP) in the OM + PTH group expressed higher and faster (Day 14) than the OM group. Moreover, the gene expression of osteoprotegerin (OPG) possessing the protein produced by the mature osteoblasts showed a higher level in the OM + PTH group on the same day as OCN and BSP occurred. This protein performs a function in inhibiting osteoclast maturation. The present study found that PTH enhanced the differentiation of osteoblasts derived from hSKPs by promoting the maturation of osteoblasts in vitro. It possibly concerns with the anabolic effect of PTH in a treatment for osteoporosis patients. Additionally, hSKPs are the interesting sources for osteoporosis treatments when combining with PTH.

A study of correlation of osteoblasts from peripheral blood with related bone turnover markers.

The bone remodeling process called osteoblasts has an important role in bone formation working together with osteoclasts of which the cells are responsible for bone resorption. In addition, these bone turnover markers are used to follow-up the conditions of bone remodeling in the patients. Recently, osteoblastic lineage cells have been found that they exist in the human peripheral blood. However there has been no report about the amount of circulating osteoblastic lineage cells that have the relationship with the samples of bone turnover markers showing the bone remodeling condition. In the present study, circulating osteoblasts were quantified in 43 subjects aged between 25-90 years. They were classified by age into 3 groups: A) lower than 60 years old (n = 9), B) from 60 to 79 years old (n = 22) and C) equal and over 80 years old (n = 12). All were studied by the flow cytometry method using an antibody to osteocalcin and bone turnover markers beta-CrossLab (betaCTx), PINP and NMID. These markers including parathyroid hormone were analyzed. The result showed the best positive correlation between the percentage of circulating osteoblasts and bone turnover markers of the equal and over 80-year-old group. While another result exhibited the negative correlation of circulating osteocalcin positive cells with the bone turnover markers in the group of lower than 60 years old. As circulating osteoblasts had the correlation with bone turnover markers in the group aged 80 years old, this could be used as the markers to follow up the bone turnover situation of the patients in this age group. However, this is a pilot study. Further analysis of more amounts of subjects should be done for a better result.