New blood vessel formation and sympathetic innervation play pivotal roles in adipose tissue remodeling. However, there remain technical issues in visualizing and quantitatively measuring adipose tissue. Here we present a protocol to successfully label and quantitatively compare the densities of blood vessels and nerve fibers in different adipose tissues.
Recent studies have highlighted the critical role of angiogenesis and sympathetic innervation in adipose tissue remodeling during the development of obesity. Therefore, developing an easy and efficient method to document the dynamic changes in adipose tissue is necessary. Here, we describe a modified immunofluorescent approach that efficiently co-stains blood vessels and nerve fibers in adipose tissues. Compared to traditional and recently developed methods, our approach is relatively easy to follow and more efficient in labeling the blood vessels and nerve fibers with higher densities and less background. Moreover, the higher resolution of the images further allows us to accurately measure the area of the vessels, amount of branching, and length of the fibers by open source software. As a demonstration using our method, we show that brown adipose tissue (BAT) contains higher amounts of blood vessels and nerve fibers compared to white adipose tissue (WAT). We further find that among the WATs, subcutaneous WAT (sWAT) has more blood vessels and nerve fibers compared to epididymal WAT (eWAT). Our method thus provides a useful tool for investigating adipose tissue remodeling.
Adipose tissue has key metabolic and endocrine functions1. It dynamically expands or shrinks in response to different nutrient stresses2. The active tissue remodeling process consists of multiple physiological paths/steps including angiogenesis, fibrosis, and shaping of local inflammatory microenvironments2,3,4. Some physical stimuli, such as cold exposure and exercise, may trigger sympathetic activation, which ultimately leads to new blood vessel formation and sympathetic innervation in adipose tissues5,6. These remodeling processes are linked tightly to systemic metabolic outcomes including insulin sensitivity, the hallmark of type 2 diabetes2. Thus, visualization of these pathological changes is very important to understanding the healthy status of whole adipose tissues.
Angiogenesis is the process of new blood vessel formation. Since blood vessels provide oxygen, nutrients, hormones, and growth factors to tissue, angiogenesis has been considered a key step in adipose tissue remodeling, which has been documented with different techniques6,7,8,9,10,11,12,13. However, there remain questions about the resolution of the images, efficiency of immunostaining, and methods for quantification of vessel density. Compared to new blood vessel formation, innervation in adipose tissue has been underestimated for a long time. Recently, Zeng et al.14 used advanced intravital two-photon microscopy and demonstrated that adipocytes are surrounded by layers of nerve fibers14. Since then, researchers have started to appreciate the pivotal role of sympathetic innervation in regulation of adipose tissue physiology. Thus, developing an easy and practical approach to document adipose nerve innervation is important.
Here, we report an optimized method for the co-staining of blood vessels and nerve fibers based on our previous protocols. With this method, we can achieve clear images of blood vessels and nerve fibers without noisy background. Moreover, we obtain a resolution that is high enough for performing quantitative measurement of densities with open source software. By using this new approach, we can successfully compare the structures and densities of blood vessels and nerve fibers in different adipose depots.
All procedures containing animal subjects have been approved by the Animal Welfare Committee of University of Texas Health Science Center at Houston (animal protocol number: AWC-18-0057).
1. Reagent Preparation
2. Animal Ddissection and Adipose Tissue Collection
3. Antibody Incubation
4. Image Acquisition
5. Analysis of Blood Vessel and Nerve Fiber Networks
The distal region of the epididymal white adipose tissue (eWAT), medial region of the dorsolumbar subcutaneous white adipose tissue (sWAT), and medial region of the interscapular brown adipose tissue (BAT) were collected. The locations for collecting these tissues are indicated in Figure 1.
Figure 1: Anatomy of subcutaneous white adipose tissue (sWAT), epididymal white adipose tissue (eWAT), and brown adipose tissue (BAT) indicates regions used for collecting the samples. (A) The regions outlined by white dashed lines represent sWAT, and the white asterisk highlighted location is the site for collecting sWAT. Regions outlined by black dashed lines are eWAT, and the black asterisk highlighted location is the site for collecting eWAT. (B) The regions outlined by black dashed lines are BAT, and the tissue collection region is highlighted by the asterisk. Please click here to view a larger version of this figure.
After whole-mount staining, the tissue chunks were mounted in a well of 1 mm depth (Figure 2)
and imaged with the confocal microscope. We first tested the effect of the clearing step with 90% glycerol incubation on quality of the images. We found that more blood vessels were positively stained with α-endomucin antibody in the glycerol-incubated sWAT, suggesting that the clearing step is critical for complete staining of the blood vessels (Figure 3, compare panels A and B).
Figure 2: Diagrams of the wells for volume imaging. (A) Diagram of a slide with a silicone isolator. (B) Diagram of a well with multiple layers of tape made by our lab. Please click here to view a larger version of this figure.
Figure 3: Comparison of IF images of blood vessels acquiredwith or without optical clearing step with 90% glycerol. (A) Whole-mount immunofluorescence (IF) staining with anti-endomucin antibody (green) in sWAT. The sample was not subjected to the optical clearing step (step 3.10). (B) Whole-mount IF staining with anti-endomucin antibody in sWAT. The sample was subjected to the optical clearing step (step 3.10) before the mounting steps (steps 3.11 and 3.12). Please click here to view a larger version of this figure.
However, the clearing step with glycerol did not affect the integrity or shape of the blood vessels (Figure 3). Given these beneficial effects, in the following experiments, the clearing step was performed.
We further compared the results of 2D and 3D analyses using different software (see Table of Materials). We found that, while the 3D images apparently provided more detailed structural information, the two analytic methods eventually did not show significant differences in terms of the length and branch number of the vessels (Figure 4).
Figure 4: Comparison of 2D and 3D analyses on vessel structure. (A) The effect of maximum projection on the images. (B) The analytic results by the 2D software (see Table of Materials). Particularly, the red lines indicate selected skeleton, while the blue dots indicate branding points. (C) The analytic results by the 3D software (see Table of Materials). The gray area is the selected region for analysis. The green line indicates the measured segments and green dots indicate the measured nodes. (D) The comparison of vessel length, segment numbers, branching node numbers, and terminal node numbers analyzed by 2D or 3D methods. Please click here to view a larger version of this figure.
Previous publications have demonstrated that different adipose depots possess heterogeneous properties1,18. Here we sought to determine whether blood vessels and nerve fibers exhibit different patterns among the depots using our newly developed method. To achieve this, we performed co-IF staining with α-endomucin (for blood vessels) and α-TH (for nerve fibers) antibodies in adipose tissue. Interestingly, results showed that there were significantly more blood vessels and nerve fibers in BAT compared to WATs (Figure 5, compare bottom lanes to top and middle lanes)
Figure 5: Comparison of blood vessels and nerve fibers acquired from different adipose depots. Whole-mount IF staining with anti-endomucin (green) and anti-tyrosine hydroxylase (TH) (red) antibodies in eWAT (A, B, merged in C),sWAT (D, E, merged in F) and BAT (G, H, merged in I). Please click here to view a larger version of this figure.
Among the WATs, the sWAT exhibited higher blood vessel density than the eWAT (Figure 5, compare the middle to top lane). Of note, while the nerve fibers expanded in parallel with the blood vessels, they did not show significant co-localization (Figure 5, merged lanes). We further quantitatively measured the vessel area, number of junctions, and tube length with the 2D method and found similar results as described above (Figure 6).
Figure 6: Quantitative analysis of vascular and nerve fiber networks. (A) The percentage of blood vessel area in the samples of eWAT, sWAT, and BAT. (B) The number of junctions of the vascular networks in eWAT, sWAT, and BAT. (C) The total vessel length of vascular networks in eWAT, sWAT, and BAT. (D) The percentage of neve fiber area in the samples of eWAT, sWAT and BAT. (E) The number of junctions of the nerve fibers in eWAT, sWAT, and BAT. (F) The total length of nerve fibers in eWAT, sWAT, and BAT. The analyses were performed with 2D software. The results were achieved from the images presented in Figure 5. Please click here to view a larger version of this figure.
In summary, this approach successfully co-stained blood vessels and nerve fibers in different adipose tissues.
Adipose tissue remodeling is directly linked to metabolic dysregulation during obesity development1,2. Angiogenesis and sympathetic innervation are both essential for the dynamic remodeling process2,12. Therefore, developing an applicable approach to visualize the new blood vessels as well as nerve fibers are of great importance. Previous methods have been reported for documenting angiogenesis in adipose tissue. However, some issues remain with these approaches, including low efficiency, fussy resolution, and noisy background. Meanwhile, sympathetic innervation has only been recognized recently as a critical step in adipose tissue pathology14. Even though the related findings are interesting, applied methods require advanced microscopy tools and are time-consuming. Here, we report an easy-to-follow approach modified from our previous protocol for co-staining blood vessels and sympathetic nerve fibers. Interestingly, we successfully stained the blood vessels and nerve fibers with high resolution, and the staining has qualities comparable to previously reported images18.
We previously stained the blood vessels in adipose tissues by immunohistochemistry or immunofluorescence with the α-CD31 antibody, a marker of endothelial cells, on paraffin-embedded slides8,13,20. While the method allows us to distinguish blood vessel density between different groups, the microvascular vessels that were positively stained were not complete. Here, we chose a whole-mount method and performed IF staining with a α-endomucin antibody, another marker for blood vessels. With this optimized approach, we were able to achieve staining with more blood vessels, especially microblood vessels. Moreover, in this method, since we avoided steps such as paraffin embedding and formalin fixation, which have the potential to impair the integrity of blood vessels, we obtained images with higher resolution and more intact vessels. The unimpaired structure of the vessels further allowed us to measure and compare their lengths, branching, and areas. Of note, we added a clearing step with glycerol, so the tissue chunks could become more transparent, and this simple but critical step significantly enhanced efficiency of the staining18,21.
Due to high levels of lipid contents in the adipose tissue, which might limit the accessibility of antibodies to the inner regions of the tissue, we cut the depots into small pieces to ensure adequate antibody binding to the target proteins. Therefore, our method successfully stains more blood vessels and nerve fibers than staining on whole tissues. However, it may lose spatial information and hence affect the integrity of the nerve fibers. To resolve this apparent issue and ensure the images are comparable among individual mice, it is suggested to collect the small chunks from the same regions in the adipose depots. If more spatial information is further needed, larger chunks should be obtained for staining. For larger samples, longer fixation times with higher doses of FPA, higher concentrations of detergents for permeabilization, and longer periods of antibody incubation may be needed.
Adipose tissue innervation has been investigated recently. Multiple advanced techniques have been applied to visualize nerve fibers14,17. These methods are either expensive or time-consuming. Here, we simply performed an IF stain with α-TH (a sympathetic nerve marker) and successfully stained the sympathetic nerve fibers at a high quality. More importantly, we performed the co-staining with α-endomucin and α-TH to investigate how the blood vessels interplay with sympathetic nerve fibers during adipose tissue remodeling.
Of note, we compared the results from 2D and 3D analyses using different software. It was found that, while the 3D images provided more detailed structural information, the two analytic methods did not show significant difference in terms of the length and branching of the vessels. Eventually, when analyzing with the 3D method, the software itself may detect some false signals that need to be manually adjusted. Given that the 2D software is purposely designed for vessel analysis, it is thus suggested to use this method for quantitatively measuring the structure of vessels.
With this method, blood vessels and nerve fibers in different adipose tissue were co-stained, and their densities, branching, and lengths were compared19. It was found that both blood vessels and nerve fibers are much thicker in BAT compared to WAT, suggesting that BAT is a more metabolically active adipose depot. Moreover, the blood vessel and nerve densities in sWAT were higher than in the eWAT, indicating that different WATs have different remodeling profiles.
In conclusion, this method efficiently co-stains blood vessels and nerve fibers in adipose tissue5. Furthermore, it serves as a useful tool for studying the dynamic changes in adipose tissue during obesity development.
The authors have nothing to disclose.
This study was supported by the National Institute of Health (NIH) grant R01DK109001 (to K.S.).
Alexa Fluor 488 AffiniPure Bovine Anti-Goat IgG (H+L) | Jackson ImmunoResearch | 805-545-180 | Lot: 116969 |
Alexa Fluor 647 AffiniPure Donkey Anti-Rabbit IgG (H+L) | Jackson ImmunoResearch | 711-605-152 | Lot: 121944 |
Amira 6.0 | Thermo Fisher Scientific | Licensed software | |
Angio tool | National Institutes of Health | Open source software https://ccrod.cancer.gov/confluence/display/ROB2/Home |
|
Anti-mouse endomucin antibody | R&D research system | AF4666 | Lot: CAAS0115101 |
Anti-tyrosine hydroxylase antibody | Pel Freez Biologicals | P40101-150 | Lot: aj01215y |
Cover glasses high performance, D=0.17mm | Zeiss | 474030-9020-000 | |
Cytoseal 280 | Thermo Fisher Scientific | 8311-4 | High-viscosity medium |
Glycerol | Fisher | G33-500 | |
Paraformaldehyde,16% | TED PELLA | 170215 | |
Press-to-Seal Silicone Isolator with Adhesive, eight wells, 9 mm diameter, 1.0 mm deep | INVITROGEN | P24744 | Silicone isolator |
ProLong Diamond Antifade Mountant | Thermo Fisher Scientific | P36965 | Mounting medium |
SEA BLOCK Blocking Buffer | Thermo Fisher Scientific | 37527X3 | |
Sodium azide | Sigma-Aldrich | S2002-100G | |
Tissue Path IV Tissue Cassettes | Thermo Fisher Scientific | 22-272416 | |
Triton Χ-100 | Sigma-Aldrich | X100 | Generic term: octoxynol-9 |
Tube rotator and rotisseries | VWR | 10136-084 | |
Tween-20 | Sigma-Aldrich | P1379 | Generic term: Polysorbate 20 |