Effects of brucine on bone metabolism in multiple myeloma

Introduction

Multiple myeloma (MM) is a common cancer, pathologically recognized by a continuous expansion of abnormal plasma cells in marrow, which leads to progressive damage of the bones, exerting profound influence on the life and prognosis of these patients. At present, most of the studies concerning the molecular mechanism of MM have focused on the activation mechanism of osteoclasts, however little is known about the inhibition mechanism of osteoblasts.

The chemotherapeutics currently available for MM include vincristine, dexamethasone (DXM), melphalan and various other medicines, but treatment with these agents may lead to the risk of other types of malignancies of the hematological system, such as myelodysplastic syndrome (MDS) (1). Proteasome inhibitors and bortezomib (Velcade®), a newly developed medicine with potential effect on MM, have been recently introduced and are widely used in the treatment of recurrent and intractable MM (2). Their rates of efficacy, however, range between 40 and 60%, even with acute side effects, dose-limiting toxicity and progressive drug fastness. It has been reported that preparations containing brucine are noticeably effective for abirritation, anti-inflammation, immunoregulation (3), osteoarthritis and inhibition of the apoptosis of cartilage cells (4,5). Yet, the role of brucine in bone metabolism in multiple myeloma which is characterized by bone lesions requires exploration. Given the insufficient study on the function of osteoblasts in the mechanism of multiple myeloma, the present study aimed to explore the nosogenesis of MM from the perspective of both osteoblasts and osteoclasts.

Materials and methods

Cells

The MM cell line U266 was obtained from Bethune International Peace Hospital, Shijiazhuang, China. Mouse embryonic osteoblasts MC3T3-E1 were from the Cell Collection Center of Wuhan University, China (CCTCC code: CRL-2593).

Differentiation of osteoblast progenitor cells

Osteoblast progenitor cell line MC3T3-E1 was cultured in DMEM/high glucose medium containing 10% FBS at 37°C in 5% CO2. When the cells reached a fusion level of 90%, they were subcultured in 6-well plates.

Fully-grown fusion cells were passaged at a ratio of 1:3, and 5×104 MC3T3-E1 cells were inoculated in 6-well plates. After 3 h, when all the cells adhered to the side of the plate, the supernatant was collected, and the culture system mentioned above was implemented. Three days later the sugar medium was replaced and 6 days after the culture, cells were collected.

Differentiation of osteoblast progenitor cells

The MM cell line U226 was cultured at 37°C in 5% CO2. Then 2×105/ml cells were inoculated in flasks of 75 cm2. Three days later, a sample of the suspended cells was centrifuged in 3 tubes (15 ml and 1000 rpm) for 5 min. The centrifuged cells were then filtered using a sterile filter with an aperture of 0.22 μm before they were preserved at −70°C.

The cultured osteoblast progenitor cells were divided into 2 groups: i) the blank control in DMEM/high glucose medium containing 10% FBS and ii) the treatment group, containing 30% MM cell supernatant. A total amount of 5×104 MC3T3-E1 cells were cultured on 6-well plates in complete medium containing 30% of MM cell supernatant. The medium was replaced 3 days later and the cells were collected 6 days later.

MTT analysis

The cell suspension was adjusted to 1×105/ml and the cells were transferred to a 96-well culture plate, with each well containing 200 μl. To each experimental group, brucine of a different viscosity was added, but not in the control group. In addition to the above two groups, a blank control was also established (medium only but without cells). For each group, 3 parallel wells were available and the culture was carried out for 72 h. A total amount of 20 μl of MTT (5 mg/ml) was added to each well and 4 h later the cells were centrifuged and the supernatant was discarded. To each well, 150 μl of DMEM was added, followed by a 10-min oscillation before each group was tested for their absorbance value (A570) using an automatic microplate reader. Finally, the cell growth inhibition rates were calculated. Cell growth inhibition rate (%) = Acontrol group − Aexperimental group/Acontrol group − Ablank control × 100%.

According to the linear regression equation, the half maximal inhibitory concentration (IC50) of brucine was determined. The same process was followed using bortezomib.

Effects on MM bone metabolism

MC3T3-E1 cells were cultured on 6-well plates in complete medium contaning 30% MM cell supernatant. In the bortezomib-treated group, the 30% MM cell supernatant used was treated with bortezomib (at the concentration of 22.4 nmol/l, which was the IC50 value of bortezomib) for 48 h. In the brucine-treated group, the 30% MM cell supernatant was treated with brucine (at the concentration of 0.16 mg/ml, which was the IC50 value of brucine) for 48 h.

RT-PCR

Total RNA was extracted from a total amount of 5–10×106 of marrow mononuclear cells using TRIzol one-step method (TRIzol is a new total RNA extraction reagent) and then were tested for their concentration and purity with a UV spectrophotometer. The primer sequences of alkaline phosphatase (ALP), osteocalcin (OC), osteoprotegerin (OPG) and receptor activator of nuclear factor κB ligand (RANKL) are shown in Table I.

Table I Primer sequences.

Table I

Primer sequences.

Primers	Sequences
ALP
P1	5′-CCAGCAGGTTTCTCTCTTGG-3′
P2	5′-CCAGCAGGTTTCTCTCTTGG-3′
OC
P1	5′-AAGCAGGAGGGCAATAAGGT-3′
P2	5′-TGCCAGAGTTTGGCTTTAGG-3′
OPG
P1	5′-CTGCCTGGGAAGAAGATCAG-3′
P2	5′-TTGTGAAGCTGTGCAGGAAC-3′
RANKL
P1	5′-AGCCGAGACTACGGCAAGTA-3′
P2	5′-GCGCTCGAAAGTACAGGAAC-3′

[i] ALP, alkaline phosphatase; OC, osteocalcin; OPG, osteoprotegerin; RANKL, receptor activator of nuclear factor κB ligand.

The 50-μl PCR reaction system included a total amount of 2 μl DNA, 1 μl dNTP at 2.5 mmol/l, 2.5 U Taq Plus Polymerase, 5 μl 10× buffer and 2.5 μl primer (10 μmol/l).

The reaction conditions included an initial denaturation at 94°C for 5 min, followed by 32 cycles of 94°C for 20 sec, 56°C for 20 sec and 72°C for 20 sec. The PCR products were detected by agarose gel electrophoresis, followed by chart recording using ImageMaster UDS Gel analysis software. The process was repeated three times. The PCR amplification length was 239 bp (ALP), 212 bp (OC), 226 bp (OPG) and 208 bp (RANKL).

Statistical analysis

SPSS 11.5 was adopted for the data analysis with all the results expressed as means ± standard deviation (SD). ANOVA was chosen for pair-wise comparison.

Results

The results showed that the IC50 of brucine in the U266 cell line at 48 h was 47.84×104 nmol/l, and that of bortezomib was 22.4 nmol/l (Fig. 1).

Figure 1 Inhibitory effects of bortezomib on U266 cells.

The ANOVA results between the target bands and the ratios to the GRAPH gene for the 4 groups were examined for OC, ALP, OPG and RANKL. The results showed that the P-values for the comparisons between the treated and the other 4 groups (control, supernatant (30%)-, bortezomib- and brucine-treated) were <0.05, indicating a significant difference (Table II).

Table II Differences in ALP, OC, OPG and RANKL of the 4 cell groups.

Table II

Differences in ALP, OC, OPG and RANKL of the 4 cell groups.

Groups	ALP	OC	OPG	RANKL
Blank control	0.8166±0.0108	0.9786±0.0034	0.8646±0.0032	0.2466±0.0054
Supernatant (30%)-treated	0.0956±0.0019a	0.1888±0.0023a	0.1557±0.0030a	1.0820±0.0056a
Bortezomib-treated	0.4830±0.0082a,b	0.6018±0.0008a,b	0.6211±0.0010a,b	0.7474±0.0014a,b
Brucine-treated	0.5277±0.0034a,b,c	0.6833±0.0052a,b,c	0.6782±0.0086a,b,c	0.6890±0.0063a,b,c

{ label (or @symbol) needed for fn[@id='tfn2-mmr-06-02-0367'] } ALP, alkaline phosphatase; OC, osteocalcin; OPG, osteoprotegerin; RANKL, receptor activator of nuclear factor κB ligand. All P-values are less than 0.05, indicating that the overall differences in each variable across the four groups are statistically significant.

a P<0.01 compared with the blank control group;

b P<0.01 compared with the supernatant (30%)-treated group;

c P<0.01 compared with the bortezomib-treated group. Values are expressed as the means ± SD.

Brucine- and bortezomib-treated groups were significantly different in regards to levels of ALP, OC, OPG and RANKL (P<0.05), with the first three variables of the brucine-treated group larger than those of the bortezomib-treated group, while RANKL of the brucine-treated group was lower than that of the bortezomib-treated group, indicating that brucine is superior in its effects on MM.

Discussion

Extensive data indicate that the major effector cells that induce MM are osteoclasts (6), derived from mononuclear phagocyte system and are highly differentiated multiple-core cells capable of reabsorbing sclerotin (7). Osteoclasts in the marrow of MM patients, when stimulated by malignant plasma or other cells in the marrow microenvironment, increase in number and activity causing more active osteolysis (8). Additionally, where primary bone loss occurs, new born formation decreases or even disappears, causing an imbalance between osteolysis, which progresses rapidly, and subsequently osteogenesis decreases (or even disappears). These are exactly the major physiological features of MM. Studies of the mechanism of MM have focused mainly on the increase in osteoclasts both in amount and in activity while research on the role of osteoblasts in MM have received less attention. This study aimed to explore the nosogenesis of MM from two aspects: osteoclasts and osteoblasts (9).

The latest discovery that the OPG/RANKL/RANK system plays a vital role in osteoclastogenesis is a significant breakthrough in the field of bone physiology (10–12). The human body contains various cytokines and hormones which exert effects on bone metabolism by regulating the OPG/RANKL ratio in the microenvironment of marrow. Furthermore, the OPG/RANKL/RANK system was recognized only in recent years to be an important signaling pathway in the process of osteoclast differentiation (13,14). In brief, RANKL, which is expressed on the surface of osteoblast/stromal cells, binds to RANK on osteoclast precursors or osteoclasts (15), and promotes osteoclastogenesis and bone resorption. However, OPG which is expressed by osteoblasts/stromal cells, strongly inhibits bone resorption by binding to its ligand RANKL and thereby blocks the interaction between RANKL and RANK. The main function of OPG is to inhibit the differentiation of osteoclasts and the resorption activity of mature osteoclasts and induce its apoptosis while its ligand, RANKL or OPGL, contributes to the differentiation of osteoclasts, vitalizes mature osteoclasts and prevents their apoptosis.

Therefore, the OPG/RANKL ratio serves as an important lever in keeping the balance between bone resorption and formation, and is also a significant indicator of bone remodeling. Furthermore, their balance determines the activity of osteoclasts and the resorption of mediated bone (16,17). By secreting both OPG and RANKL, two key elements, osteoblasts regulate the activity of osteoclasts and play a critical role in MM (18).

The culture model of osteoblasts in vitro has shown that the differentiation of osteogenic progenitor cells (OPC) fall into three stages: cell proliferation, bone matrix maturation and bone matrix mineralization (19–21). In the second stage, i.e., bone matrix maturation, the ALP gene expression level reaches its peak and in the last stage, bone matrix mineralization, OC gene expression reaches a noticeable higher level (22).

The present study revealed that the mRNA expression of ALP, OC and OPG of an osteoblast cell line, after having been cultured in complete medium containing 30% multiple myeloma cell supernatant, decreased noticeably to much lower levels than those of the blank control group; however the mRNA of RANKL alone increased, which points to the conclusion that by breaking the balance between OPG and RANKL, multiple myeloma cells promote the differentiation of osteoclasts, vitalize their activity, prevent their apoptosis and inhibit bone generation. The brucine-treated group, however, showed quite different results. The mRNA expression of ALP, OC and OPG significantly increased while the mRNA of RANKL decreased, indicating that brucine inhibits the differentiation of osteoclasts, and promotes their apoptosis and bone generation. In addition, it shows that brucine is superior to bortezomib in regards to the therapeutic effect on MM.

In conclusion, this study explored the manner in which brucine affects osteoblasts and osteoclasts, (two key secretions of osteoblasts), in MM to regulate the differentiation and apoptosis of osteoclasts. Furthermore, it established a cell model in which MM cells inhibit early osteogenic differentiation paving the way for further study of the gene mechanism in which marrow tumors inhibit osteoblasts. At the same time, it revealed that brucine is superior to bortezomib in regards to the therapeutic effect on MM, which points out a new approach to the cure of MM.

In this research, RT-PCR was adopted to measure the amount of the elements at the gene level. In subsequent studies, real-time PCR detection methods may be an option for achieving better credibility and western blot analysis may be used to test protein levels.

Acknowledgements

This study was supported by the Scientific Research Projects of Shanxi Province Returned Students (2008, 10, 99).

References