Animals and the preparation of bone specimens
Forty female New Zealand white rabbits (Kbl:NZW) were purchased from Kitayama Labs (Nagano, Japan) and allowed to acclimatize with free access to water and food (LRC4, Oriental Yeast Co. ltd., Tokyo, Japan) for three weeks before use. Throughout the experimental study, the animals were housed individually in aluminum cages (81W × 50D × 35H cm) under a 12-h light/dark cycle with free access to water, but their food intake was restricted to 120 g/day (LRC4, standard diet for rabbits; Oriental Yeast, Tokyo, Japan). Both Animal care staff and those who administer treatments monitored animals twice daily. Health was monitored by weight (once weekly), food intake, and general assessment of animal activity. Animals with a body weight of 3.4 - 4.6 kg at six months of age were divided into four groups by block randomization using SAS, Version 8.2 (SAS Institute Inc., Cary, NC, USA) with tibial BMD and body weight and were subcutaneously injected with 140 μg/kg of TPTD (Asahi Kasei Pharma Corporation, Tokyo, Japan) once-weekly (1/w group, n = 10), 70 μg/kg of TPTD twice-weekly (2/w group, n = 10), and 20 μg/kg of TPTD once-daily (7/w group, n = 10) for four weeks (Figure 1). In the 1/w and 2/w groups, saline was administered daily, except on the days on which TPTD was administered. Saline injections were administered to control animals (control group, n = 10) once-daily and to each group as vehicle. Based on previous studies, 10 animals in each group were required for bone morphometric evaluation. Calcein (Dojindo Laboratories, Kumamoto, Japan) was subcutaneously injected into each animal at a dose of 10 mg/kg of body weight on days 29 and 4 before sacrifice for bone double labeling (1-25-1-3). It was planned to exclude from the study any individual who experienced severe weight loss or other poor condition from which recovery was not expected during the treatment period, but no such cases occurred.
After the dosing period, the animals were euthanized by exsanguination under anesthesia using thiopental. The left and right tibiae were collected for DXA, three-point bending test, and histomorphometry. The left tibiae were packed in plastic bags and stored at -30°C until use in DXA and mechanical testing. The right tibiae were fixed in 70% ethanol, stained with Villanueva bone stain, dehydrated in a graded ethanol series, defatted in acetone, and embedded in polymethyl methacrylate (Wako Pure Chemical Industries, Osaka, Japan). Thin ground sections of 10–20-μm thickness were prepared using a micro-cutting machine and a grinding machine (EXAKT, Germany) from a cross-section at a plane that was 3 mm proximal to the tibiofibular junction and were subjected to bone histomorphometry.
The experimental protocols were approved by the experimental animal ethics committee at the Asahi Kasei Pharma Corporation and were conducted in accordance with the guidelines for the management and handling of experimental animals. Animals were housed under non-specific pathogen-free conditions at Ina Research Inc., accredited by AAALAC (The Association for Assessment and Accreditation of Laboratory Animal Care International). Animal care staff and those who administer treatments were not involved in sample measurements. All sample measurements were performed by objective methods. The reporting in the manuscript follows the recommendations in the ARRIVE guidelines (https://arriveguidelines.org).
Measurement of BMD
BMDs of the collected left tibiae were monitored using DXA (DCS-600EX-IIIR; Aloka, Tokyo, Japan). Whole samples were scanned with a pitch of 2 mm. BMD (mg/cm2) was then calculated from the bone mineral content (mg) and bone area (cm2).
Bone mechanical properties
The fibulae were cut off from the left tibiae using a micromotor (Volvere GX NE22, Nakanishi, Japan). After pre-processing, the samples were subjected to a three-point bending test. The samples were set on supports 32 mm apart and attached to a testing machine (AUTOGRAPH AGS-5kNX, Shimadzu, Japan) such that the dorsal aspects were upward, and load was applied at points 3 mm proximal to the tibiofibular junctions at a constant speed of 10 mm/min. The load and displacement curves were recorded, and the following parameters were calculated using TRAPEZIUM LITE X software (Shimadzu): maximum load (N), stiffness (N/mm), and energy absorption (Energy, mJ). Energy absorption was defined as the energy absorbed until the load reached its recorded maximum value.
Blood and urine sampling
Blood samples were collected from auricular veins before the initial administration of TPTD on day 1, as well as on days 4, 8, 15, 22, 25, and 29 after the initial administration of TPTD. The samples were centrifuged at 1700 × g at 4°C for 15 min, and serum samples were collected to measure OC concentration.
In all groups, the animals were placed in metabolic cages, and urine samples were collected for 24 h before the initial administration of TPTD on day 1, as well as before dosing on days 8, 15, 22, and 29. Urine samples were centrifuged at 400 × g at 4°C for 5 min, and the supernatant was collected to measure the concentration of DPD.
Measurement of markers of bone metabolism
The serum levels of OC, a bone formation marker, were measured using a Gla-osteocalcin ELISA system (Takara Bio, Tokyo, Japan). The urinary level of DPD was measured using Osteolinks DPD (DS Pharma Biomedical) and normalized to creatinine concentration. The assays were performed according to the manufacturer’s instructions.
Wide-field fluorescence and DIC imaging
Using a wide-field microscopy system, ECLIPSE Ni (Nikon, Tokyo, Japan) equipped with a DIC microscope and objectives (Nikon), Plan Apo λ ×10 [numerical aperture (NA)=0.45], Plan Apo λ ×20 (NA = 0.75), and Plan Apo λ ×40 (NA = 0.95), fluorescence and DIC imaging were obtained. Filter sets of fluorescein isothiocyanate [excitation: 460–500 nm, dichroic mirror (DM): 505 nm, emission: 510–560 nm; Nikon] and TxRed (excitation: 540–580 nm, DM: 595 nm, emission: 600–660 nm; Nikon) were used for calcein and autofluorescence derived from soft tissue, respectively. Tiling fluorescence and DIC imaging were sequentially performed to acquire the entire, high-contrast view of the tissue sections using the Plan Apo λ ×10 objective (NA = 0.45). The frame size of a single scan was 1280 × 1024 pixels, with an 8-bit color depth and a pixel size of 0.64 μm. Image processing was performed using NIS-Elements AR imaging software (Nikon, Tokyo, Japan).
Confocal fluorescence imaging
Confocal imaging of Villanueva-stained bone sections was performed using a Nikon confocal laser microscopy system (A1-ECLIPSE Ti2; Nikon). Two objectives were used: Apo 60x oil DIC N2 (NA=1.40) and HP Apo TIRF 100× oil DIC N2 (NA=1.49). Two laser lines at 488 nm and 561 nm for excitation and two filter cubes at 480 nm/560 nm and 560 nm/640 nm for detection were used. The images with 0.29 μm/pixel for the 60x objective, 0.10 μm/pixel for the 100x objective, and a 12-bit color depth were acquired. For, three-dimensional fluorescence morphometry, confocal images were taken with 1.0 and 0.3 μm step sizes for voxel sampling with 60x and 100x objectives, respectively.
Semi-quantitative fluorescence morphometry and automatic morphometric recognition analyses using AI and deep learning
Quantitative topological analyses of fluorescence signals in undecalcified bone sections were performed using commercially available imaging analysis tools (NIS-Elements AR and NIS. ai, Nikon, Tokyo, Japan). The following parameters of the recognized objects were semi-automatically measured: object number, object area, length, outer perimeter, circularity, and smoothness. Examples of the measurement parameters for the analyses of cortical porosity and calcein labeling are schematically illustrated in Supplementary Figure 1. The binarization of objects was conducted interactively using the fluorescence intensity threshold, object size, and manual histomorphological definition. The recognition of objects was set as follows: cortical bone porosity, threshold 12, size > 90.0 µm; calcein labeling, threshold 200, size > 15.0 µm. Automatic morphometric recognition of osteocytes and the Haversian canal was performed using AI and deep learning methods (NIS.ai, segment ai). As shown in the flowchart in Figure 7a, we first created AI training data to properly recognize signals derived from osteocytic lacunae and Haversian canals after conducting morphological recognition learning more than 1000 times. As shown in Figure 8, 16 or more training images showed significantly high and satisfying object recognition rates; therefore, we created AI training datasets with 16 images and used them for our analyses. Using this established AI-training data, we binarized osteocytic lacunae and Haversian canals properly and automatically and conducted quantitative morphometric analyses. Using this AI-driven measurement, the following parameters of the recognized objects were measured and statistically compared: object number, object area, length, width, perimeter, and circularity. Examples of two-dimensional and three-dimensional measurement parameters for the analyses of osteocytic lacunae are schematically illustrated in Figures 7c, 12b, and 12c. In the measurement of two-dimensional and three-dimensional osteocytic lacunae, the regions of interest were rectangular (vertical 0.1 mm; horizontal 0.2 mm) and square (vertical 0.1 mm; horizontal 0.1 mm) forms, respectively. The region of interest of the Haversian canal was a square form (vertical 0.3 mm; horizontal 0.3 mm).
Three-dimensional reconstruction and morphometry of the osteocytic lacunar-canalicular system
The three-dimensional fluorescence images acquired with HP Apo TIRF 100× oil DIC N2 (NA=1.49) were constructed from z-series images using the IMARIS software program (Bitplane, Zurich, Switzerland) as described previously52. To separate the lacunae and canaliculi, start and end points were set at 0.6 and 0.3 µm, respectively.
Statistical analysis
All data are presented as the mean and standard error (SE) (n=10). The effects of TPTD on bone specimens were evaluated using analysis of variance. Dunnett’s test was used to compare the treatment and vehicle control groups at each frequency of administration (Tibial BMDs, mechanical properties and bone metabolic markers: SAS, Version 9.4, the others: MEPHAS). Statistical significance was set at p < 0.05.