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Biology subjects

Fortunato, G.

Publications and source records attributed to Fortunato, G..

2 recordsLinked to original sources

The ZNF687 mutation of Paget's disease associated with giant cell tumour causes severe bone remodelling alteration as a result of a deregulated osteoclast transcriptional program

Pagets disease (PDB) is a late-onset bone remodelling disorder with a broad spectrum of symptoms and complications. One of the most aggressive forms is caused by the P937R mutation in the ZNF687 gene. Although the genetic involvement of ZNF687 in PDB has been extensively studied, the molecular mechanisms underlying this association remains unclear. Here, we describe the first Zfp687 knock-in mouse model and demonstrate that the mutation recapitulates the PDB phenotype, showing a severe bone remodelling alteration. Through micro-computed tomography analysis, we observed that 8-month-old mice showed a mainly osteolytic phase, with a significant decrease in the trabecular bone volume affecting the femurs and the vertebrae of both heterozygous and homozygous mutant mice. In contrast, osteoblast activity was deregulated, beginning to produce disorganised bone. Noteworthy, this phenotype became pervasive in 16-month-old mice, where osteoblast function overtook bone resorption as the predominant event, as highlighted by the presence of woven bone in histological analyses, consistent with the PDB phenotype. Furthermore, we detected osteophytes and intervertebral disc degeneration, outlining for the first time the link between osteoarthritis and PDB in a PDB mouse model. Finally, we generated CRISPR-Cas9-based Zfp687 knock-out RAW 264.7 cells, and noted a remarkable impairment of osteoclast differentiation capacity, reinforcing the relevance of Zfp687 during this process. RNA-sequencing on wild type and KO clones identified a set of genes involved in osteoclastogenesis under the control of Zfp687, i.e., Tspan7, Cpe, Vegfc, and Ggt1. Thus, this study established an essential role of Zfp687 in the regulation of bone remodelling, and may offer the potential to therapeutically treat PDB.

cell biology↗

Multiparametric assessment of cellular lipid metabolism in hypercholesterolemia

Systematic insight into cellular dysfunctions can improve understanding of disease etiology, risk assessment and patient stratification. We present a multiparametric high-content imaging platform enabling quantification of low-density lipoprotein (LDL) uptake and lipid storage in cytoplasmic droplets of primary leukocyte subpopulations. We validated this platform with samples from 65 individuals with variable blood LDL-cholesterol (LDL-c) levels, including familial hypercholesterolemia (FH) and non-FH subjects. We integrated lipid storage data into a novel readout, lipid mobilization, measuring the efficiency with which cells deplete lipid reservoirs. Lipid mobilization correlated positively with LDL uptake and negatively with hypercholesterolemia and age, improving differentiation of individuals with normal and elevated LDL-c. Moreover, combination of cell-based readouts with a polygenic risk score for LDL-c explained hypercholesterolemia better than the genetic risk score alone. This platform provides functional insights into cellular lipid trafficking from a few mls of blood and is applicable to dissect metabolic disorders, such as hypercholesterolemia. MotivationWe have limited information on how cellular lipid uptake and processing differ between individuals and influence the development of metabolic diseases, such as hypercholesterolemia. Available assays are labor intensive, require skilled personnel and are difficult to scale to higher throughput, making it challenging to obtain systematic functional cell-based data from individuals. To overcome this problem, we established a scalable automated analysis pipeline enabling reliable quantification of multiple cellular readouts, including lipid uptake, storage and mobilization, from different white blood cell populations. This approach provides new personalized insights into the cellular basis of hypercholesterolemia and obesity. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/440471v4_ufig1.gif" ALT="Figure 1"> View larger version (84K): org.highwire.dtl.DTLVardef@9222c1org.highwire.dtl.DTLVardef@27e289org.highwire.dtl.DTLVardef@89ba82org.highwire.dtl.DTLVardef@33c9cd_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗