Introduction
Type 2 diabetes develops in response to over-nutrition and lack of physical activity in subjects with underlying genetic and acquired predisposition to insulin resistance and β-cell dysfunction. Over time, β-cell compensation for insulin resistance fails, resulting in a progressive decline in function [1–6] and mass [7]. The endocrine pancreas is a slow turnover tissue [8] and β-cell proliferation decreases with age [9]. This age-dependent decline in proliferation is partly due to an increase in senescence marker and mediator p16Ink4a, a cyclin-dependent kinase inhibitor [10, 11]; mice with an additional copy of p16Ink4a had a significant decrease in β-cell proliferative capacity [12–15].
Aging and senescence are related but not interchangeable terms. Cellular senescence is a stress response that occurs throughout the lifespan in which cells remain metabolically active with an altered phenotype. Senescent cells accumulate with aging, resulting in changes in structure and function that include irreversible growth arrest, resistance to apoptosis and alterations in gene expression [16]. Senescence also leads to the secretion of an array of cell-specific proteins known as the senescence-associated secretory phenotype (SASP) that can induce dysfunction and entry into senescence of surrounding, healthy cells [17].
Previously, we showed that with age and insulin resistance, β-cell senescence increased [18, 19] and senolysis (selective deletion of senescent cells) improved β-cell function, gene identity, and blood glucose levels [19]. Additionally, it has been shown that senolysis can preserve β-cells in a model of Type 1 Diabetes [20]. INK-ATTAC mice are a transgenic whole-body FLAG-tagged line that allows specific deletion of cells expressing p16Ink4a upon administration of B/B homodimerizer, a synthetic drug that causes dimerization and activation of the caspase 8 only in p16Ink4a-positive cells [21, 22]. However, whether the elimination of p16Ink4a-expressing beta cells negatively impacts β-cell mass is unknown and whether residual cell proliferation can be rescued by removing local SASP remains to be determined.
To this end, we set out to explore the effects of removing p16Ink4a+ senescent cells on the proliferative capacity and mass of β-cells using INK-ATTAC mice as a transgenic model. We hypothesized that removal of this cell population would decrease overall β-cell mass and rescue the proliferative capacity of the remaining cells due to local SASP elimination.
Results
Improved β-cell function with removal of p16Ink4a expressing cells in a HFD model in 1-year-old animals
In adult animals, β-cell proliferation is induced by increased metabolic demand. Therefore, the effects of removing p16Ink4a cells in a high-fat diet (HFD) model were evaluated. One-year-old INK-ATTAC animals were maintained on a specific diet for 8 weeks in the following groups: control on a chow diet, HFD only, and HFD with four courses of B/B homodimerizer. Weekly body weight was monitored and showed a significant increase of 19% in both the HFD and HFD with B/B homodimerizer groups (Figure 3A). As previously reported [19], HFD accelerated β-cell senescence, which in this model was indicated as an increased Caspase8 (Figure 3B) and p16Ink4a (Figure 3C) transcript in islets from animals fed a HFD. Representative confocal images of the pancreas from B/B treated animals showed a decrease in FLAG staining (Figure 3D) when compared with those treated with vehicle. HFD diet increased blood glucose by 27%, these levels were restored in the B/B treated group and comparable to chow animals (Figure 3E and 3F). Insulin tolerance test showed no significant differences among the groups (Supplementary Figure 4) even though results were different between males (Supplementary Figure 4A) and females (Supplementary Figure 4B). Fasting hyperinsulinemia was noted in the HFD group and restored after BB treatment (Figure 3G). Similarly, glucose stimulated insulin secretion (GSIS) in vivo during IPGTT, showed increased basal insulin in the HFD treated group which returned to normal after treatment with BB homodimerizer (Figure 3H). These results show that clearance of p16Ink4a in a HFD model partially restored glucose homeostasis.

Removal of p16Ink4a expressing β-cells induced proliferation in a subset of HFD-treated adult mice
A significant correlation between the proliferation percentage and percentage of non-senescent β-cells was also seen at 12-months of age (Figure 4A) indicating that even at this age, removal of p16Ink4a+ cells can have an impact on beta-cell proliferation.

There were no significant differences in pancreatic weight in different treatment groups (Figure 4B). Systematic imaging of pancreatic sections revealed no significant changes in β-cell mass amongst groups (Figure 4C) and overall, clearance of p16Ink4a expressing cells did not change the rate of β-cell proliferation. However, there was a subset of animals treated with B/B homodimerizer where BrdU incorporation was significantly increased and we termed this group “responders” which represented 44% (Figure 4D) of the total treated population. In the remainder 56% of the animals, proliferation did not increase in response to p16Ink4a clearance (Figure 4D). Further analysis comparing the non-responders to the responders revealed that the latter had better glucose clearance in the initial IPGTT (Figure 4E) and maintained overall lower blood glucose levels than non-responders throughout the experiment (Figure 4F and 4G). However, no differences were found between the two groups in the following parameters: gender, initial ITT, weight gain, fed or fasting insulin and fasting blood glucose (Supplementary Figure 5). These results suggest that responders had better β-cell function at the beginning of the experiment but further experiments are required to fully understand these differences.
β-cell proliferation in a pharmacological model of insulin resistance
Insulin receptor antagonist S961 was used as an additional model to induce acute insulin resistance in 1.5-year-old male and female mice. S961 induced hyperglycemia (Figure 5A) and hyperinsulinemia (Figure 5B). S961 increased β-cell senescence as seen by an increase in Caspase8 transcript (Figure 5C). Proliferation was significantly induced by S961 even in older animals (Figure 5D, Supplementary Figure 6A) however this proliferative rate was not further increased by deletion if p16Ink4a cells (Figure 5D, Supplementary Figure 6B) and no changes in beta cell mass were found after treatment (Figure 5E). Removal of p16Ink4a expressing cells in this group worsened blood glucose levels (Figure 5A) indicating that the functional reserve was adversely affected by the removal of this cell population.

The targeted p16Ink4a subpopulation is non-proliferative and non-SASP producing
To further understand the lack of effects of the removal of p16Ink4a cells in β-cell proliferation, scRNASeq analysis was performed in previously reported β-cells pooled from control and S961 treated animals [25]. t-SNE analysis revealed β-cell subpopulations that were divided into 6 clusters (Figure 6A). Analysis was concentrated in 4 of these subpopulations (Figure 6B). Two senescent subpopulations: p16Ink4a+, p21Cip1+, and two non-senescent subpopulations: p16Ink4a−/p21Cip1− A and p16Ink4a−/p21Cip1− B. In the INK-ATTAC model, only the p16Ink4a+ cells were removed (Figure 1B) while p21Cip1+ remained unchanged (Figure 6K). scRNASeq allowed further analysis of the proliferative capacity and SASP transcription of these specific cell populations. As previously described, p16Ink4a+ cells were non-proliferating (Figure 6C and 6D) whereas p21Cip1+ and p16Ink4a−/p21Cip1− cells upregulated of proliferative genes (Figure 6C, 6D). We believe that the upregulation of proliferation genes in p21Cip1+ represents a population of growth arrest during early senescence [26, 27]. This is further supported by significant upregulation of Cdk inhibitors (Figure 6G and 6H) in this subpopulation. Other cyclins and Id were significantly upregulated in the p16Ink4a−/p21Cip1− B subpopulation (Figure 6E and 6F). scRNASeq data was further inquired for the transcriptome of SASP factors known to be upregulated in β-cells (Figure 6I and 6J). These changes were confirmed by performing qPCR on islets from BB homodimerizer treated animals. The main SASP-producing β-cell subpopulation was the p21Cip1+ which persisted in the islets from mice treated with BB (Figure 6K).

These results highlight the existence of different senescence subpopulations of β-cells with varying proliferative and SASP producing characteristics which are differentially targeted in this transgenic model. In this particular case, the removal of p16Ink4a+ cells did not result in the removal of SASP-producing subpopulations which might account for a lack of effects upon proliferative capacity.
In summary, a transgenic model that targets p16Ink4+ senescent cells, did not alter β-cell mass and increased proliferation levels only in a subset of mice in response to HFD. This is potentially due to remaining senescent cells which are negative for p16Ink4a and whose local SASP production continues to impair the proliferative capacity of the remaining cells. Additionally, a direct correlation between β-cell proliferative capacity and non-senescent islet cells was found.
Discussion
Cellular senescence has been studied in the context of type 2 diabetes and shown to play a role in the progression of the disease. Deletion of senescent cells has been associated with improved glucose levels and β-cell function [19]. In this study, the effects of deleting p16Ink4a-expressing senescent cells on β-cell function, mass, and proliferative capacity were evaluated. Removal of this senescent subpopulation did not affect β-cell mass and increased proliferation only in a subset of animals. However, endogenous proliferative capacity is inversely correlated with β-cell senescence underscoring the relationship between them. scRNASeq revealed that the targeted p16Ink4a β-cell population was non-proliferative and not SASP producing implying that local SASP production remained and was responsible for the terminal cell cycle arrest of β-cells.
Given the known decrease in β-cell mass at the time of T2D diagnosis, pursuing interventions that eliminate a percentage of the remaining cells is concerning. Therefore, a crucial pending question when considering senolysis as a therapeutic option is whether the β-cell mass will be decreased and therefore worsen the development of the disease. Given that senolysis targets senescent cells, our previous reports have found that middle-aged mice (3–6 m) have less than 5% senescent β-cells whereas this increases to approximately 12% at 2-years of age as measured by β-Gal activity [18]. When considering insulin resistance models, S961-treated middle-aged mice had 10% β-Gal positive cells [19]. Put together, these results indicate that senolysis would target a range between 5–10% of the β-cell mass. The impact this would have on regulating blood glucose levels can be estimated by reports of the β-cell functional reserve which has been estimated between 20–25% in rats [28] and 50–70% in type 1 [29, 30] and type 2 [7] diabetes. In this study, blood glucose levels were maintained or improved after removal of p16Ink4a expressing cells in HFD and non-challenged models. However, in S961 treated animals, senolysis significantly increased hyperglycemia suggesting that in the setting of extreme insulin resistance, targeting senescent cells is counterproductive. The fact that there was a different proliferative response between the HFD and the S961 group when both were treated with B/B homodimerizer is intriguing. This is probably due to β-cell proliferation induced by S961 with no further proliferation with senolysis, however HFD by itself did not produce this increase in proliferation and was more amenable to the positive effects of senolytic interventions. Herein, we show that senolysis specifically targeted at p16Ink4a+ positive cells does not affect the β-cell mass and does not worsen blood glucose levels under physiological conditions.
Lack of proliferative capacity and SASP secretion are two of the hallmarks of senescent cells [31]. Therefore, decreasing the load of senescent cells in a given tissue could hypothetically increase the proliferative capacity of the remaining cells due to the elimination of SASP. Our results show that p16Ink4a-directed senolysis did not change basal proliferative rates and was able to induce proliferation in response to HFD only in a subset of animals. These results are surprising given previous reports of decreased islet proliferation in p16Ink4a overexpression mouse models [11]. These contrasting outcomes might be due to cell-autonomous mechanisms in the deletion model that were induced by p16Ink4a cells and persisted in the remaining neighbouring cells. This concept is further supported by transgenic p16Ink4a overexpression demonstrating β-cell-autonomous effect of proliferative restriction [32].
Both p21Cip1 and p16Ink4a are known markers and effectors of senescence. Analysis of scRNAseq data revealed the presence of different β-cell subpopulations with different levels of p21Cip and p16Ink4a. Interestingly, amongst the two, it was the p21Cip+ subpopulation the one that transcribed most of the known β-cell SASP factors implying that these were not removed in the INK ATTAC transgenic model. These residual p21Cip+ senescent and SASP producing cells could continue to impair the proliferative capacity of remaining cells and should be targeted before a claim of lack of effects of senolysis upon β-cell proliferation can be conclusively made. Whereas p21Cip1-null mice reported normal basal β-cell proliferation [33], it would be interesting to subject these animals to a metabolic challenge (HFD, pregnancy) and see whether proliferation is affected in those instances. Interestingly, an increased β-cell replication has been reported in multiple endocrine neoplasia type 1 syndrome associated with loss of p18 and p27 [34]. Additionally, it has been reported that p27 loss is associated with increased β-cell proliferation and mass after HFD or leptin receptor loss [35, 36].
Whereas senolytic therapies are an approach to senescent cell elimination, they can have adverse effects that need to be considered. First, they are not cell-type specific, which can be a challenge for studying their effects on specific tissues, organs and diseases. Second, senolytic therapies can interfere with wound healing and have oncogenic effects [37]. Whereas translation of senolysis would employ senolytic drugs, the INK-ATTAC transgenic model provides a useful and targeted strategy to initially study the potential effects of removing a bona fide senescent subpopulation. An additional transgenic model that can be used to study the effects of senolysis is the p16-3MR [38] However, future studies should employ drugs to obtain a physiological perspective of its effects in vivo.
Further studies will also need to elucidate the effect of p21Cip1 on β-cell proliferation as well as inhibiting SASP. Senomorphic drugs, which specifically inhibit SASP secretion, would be one option to minimize the effect of senescent cells on healthy, surrounding cells or senolysis specifically directed at this senescent subpopulation.
Methods
Animals
All experiments were conducted at Joslin Diabetes Center with approval of its Animal Care and Use Committee. Mice were kept in a conventional facility in a 12-hour light/dark cycle with water and food ad libitum and a temperature between 22.2–22.7°C. When specified, a high-fat diet (HFD) 60kcal% fat (Research Diets; NJ, USA) was used for the specified amount of time. C57Bl6/J mice (Jackson Laboratory; ME, USA) were used for some experiments as specified. Breeding pairs of INK-ATTAC mice were a gift from Dr. Jan van Deursen [21] and all the animals used came from our colony. Middle-aged animals were ages 6–9 months with 15 animals 6-month-old (nfemale = 7 and nmale = 8) and 12 animals 8–9-month-old (nfemale = 6 and nmale = 6). 25 one-year-old animals were used for HFD (nfemale = 13 and nmale = 12). 9 animals were used for S961 ages 18–19 months (nfemale = 2 and nmale = 7). Animals of different ages were used because age is one of the main factors determining both beta-cell proliferation and senescence load. By analyzing animals of different ages, it is possible to evaluate whether the effects of p16Ink4a removal are dependent on chronological age.
Assessment of glucose homeostasis
Bodyweight and morning fed glucose levels were monitored weekly. Blood glucose values were measured using a glucometer (Contour; NJ, USA) on blood from tail snip. For intraperitoneal glucose tolerance tests, blood samples for glucose levels from mice fasted for 6 hours were collected at 0, 15, 30, 60, 90, and 120 min after intraperitoneal injection of 10% glucose solution (Sigma Aldrich; MO, USA; 0.02 mL/g body weight). Insulin was measured from serum collected time of sacrifice using an insulin ELISA kit (Mercodia; NC, USA). For insulin tolerance tests, mice were fasted for 4 hours, insulin (Humulin R, Eli Lilly; IN, USA; 1 unit/g body weight) was injected intraperitoneally, and blood glucose was measured at 0, 15, 30, and 60 min.
Senolytic treatment
The deletion protocol of p16Ink4a-expressing cells for INK-ATTAC mice consisted of the administration of 3-day courses of B/B homodimerizer (Takara Bio; CA, USA; 10 mg/kg) repeated every 14 days to activate the caspase-8 moiety. Mice were treated with an intraperitoneal injection of vehicle (Ethanol: polyethylene glycol 400: Tween 2% at 2:5:43) or B/B homodimerizer (in ethanol: polyethylene glycol 400: Tween 2% at 2:5:43).
S961 treatment
S961 was a generous gift from Dr. Lauge Schaffer (Novo Nordisk; Denmark) [39]. Vehicle (PBS) or 20 nmol S961 was loaded into an Alzet osmotic pump and surgically implanted subcutaneously in the back of the anesthetized mice [40] and changed weekly for a total of two weeks.
Pancreas isolation for quantification of mass and proliferation
Mice were injected with 10 mg/mL BrdU (Sigma Aldrich; MO, USA; 10 uL/g body weight) intraperitoneally, 6 hours before sacrifice. Under anesthesia, the pancreas was excised, weighed, and fixed in 4% (para)-formaldehyde (PFA) for 2 hours and embedded in paraffin for sectioning and immunostaining.
Immunostaining and morphometric evaluation
Paraffin sections were deparaffinized with xylene and ethanol gradients, washed with PBS, permeabilized with Triton-X 0.3%, antigen retrieval was completed with heated citric acid for all stains and blocked with normal donkey serum. After washing with PBS and 2% lamb serum, slides were incubated overnight at 4°C with the primary antibody (Table 1). This was followed by one wash with PBS + 2% lamb serum and incubations for 1hr with secondary antibodies (Table 1). The slides were mounted with Fluoroshield + DAPI for nuclear localization (Sigma Aldrich; MO, USA).
Table 1. Antibodies.
| Antibody | Species | Manufacturer and item no. | Concentration |
| Anti-Insulin | Guinea Pig | Abcam; ab195956 | 1:400 |
| Anti-FLAG | Rabbit | R&D; MAB8529 | 1:250 |
| Anti-FLAG | Mouse | Sigma Aldrich; F1804 | 1:500 |
| Anti-BrdU | Mouse | Sigma Aldrich; B8434 | 1:50 |
| 488 anti-Guinea Pig IgG | Donkey | Jackson ImmunoResearch Laboratories; 706-545-148 | 1:200 |
| 594 anti-Rabbit IgG | Donkey | Jackson ImmunoResearch Laboratories; 711-585-152 | 1:200 |
For quantification, islet images were captured systematically covering the whole section in confocal mode on a Zeiss LSM 710 microscope. For mass quantification, the entire section was pictured using the tile-scan system and images were quantified using ImageJ (https://imagej.net/ij/index.html) and Adobe Photoshop (https://www.adobe.com/products/photoshop.html). Beta-cell mass was calculated by multiplying the relative area of beta cells by the pancreatic weight. For all other stains, islets were pictured, coded, and read blindly. For BrdU, 589–3295 cells were counted from at least 10 islets per animal. Quantification of FLAG staining was done using ImageJ and selecting the islet area through insulin staining.
TUNEL stain and quantification
TUNEL staining was done using TUNEL Assay Kit-HRP-DAB (ab206386) from Abcam following their protocols. Positive staining, indicating apoptotic nuclei, was determined by a dark brown color (Supplementary Figure 1). Quantification was done using a brightfield microscope and Ocular® Scientific Image Acquisition Software. For quantification, systematic alternating pictures were taken at 20× magnification of the whole tissue and positive nuclei were manually counted.
Quantitative real-time PCR
RNA was extracted from cells using the RNEasy Plus Mini Kit (QIAGEN; Germany); SuperScript reverse transcriptase (Invitrogen; MA, USA) was used to reverse transcribe RNA and generate cDNA for quantitative PCRs (Table 2). To measure gene expression levels, we used Fast SYBR green (ThermoFisher; MA, USA) and ΔCT values to βActin were calculated.
Table 2. Primer sequences.
| Gene | Forward | Reverse |
| βActin | ACCGTGAAAAGATGACCCAG | GTACGACCAGAGGCATACAG |
| Cdkn1a | GCAGATCCACAGCGATATCC | CAACTGCTCACTGTCCACGG |
| Cdkn2a | CCCAACGCCCCGAACT | GCAGAAGAGCTGCTACGTGAA |
Single-cell RNA-seq
Single-cell RNA-seq data presented in this article is an analysis of pooled beta-cells from islets from C57BL6/J mice treated with PBS and S961. Beta cells were identified as having high Ins2 expression and raw data was previously published [25] and deposited under accession number GSE149984. Briefly, islets from animals with S961 or PBS pumps (described above) were isolated from mice for scRNA-seq, cultured overnight, and dispersed. Transcriptomic analysis was performed using the 10× Genomics Chromium Single Cell Gene Expression Assay core at Brigham and Women's Hospital. The Illumina NextSeq500 was used for sequencing, and the two libraries were pooled evenly on one lane. Data analysis was performed by the Bioinformatics and Biostatistics Core at Joslin Diabetes Center. Raw sequencing data were demultiplexed, aligned to the mouse genome and UMIcollapsed using CellRanger [41]. The inclusion criteria were: UMI >500, detected genes >1000, and mitochondrial genes < 20%. Data were analyzed using R. Deconvolution of size factors from cell pools, estimation of technical noise, and denoised Principal Component Analysis (PCA) were done using scran [42, 43]. t-Distributed Stochastic Neighbor Embedding (t-SNE) plots were made using scatter [44]. Cells were clustered into putative subpopulations using a shared-nearest-neighbor graph constructed from the PCA coordinates, and the clusters were found using a spin-glass algorithm [45, 46]. High Ins2 expression was used to identify beta cell clusters. Differential gene expression was assessed using linear modeling with limma [47].
Quantification and statistical analysis
Data are shown as mean ± SEM. For statistical analysis, unpaired Student’s t-tests were used to compare two groups and one-way ANOVA followed by post hoc test for more than two groups. A normality test was performed and when not passed non-parametric statistics were run. A p-value ≤ 0.05 was considered significant. Prism 9.0 software by GraphPad (https://www.graphpad.com/scientific-software/prism/) was used for graphs and statistical analysis (significance and distribution). Animals were assigned to either control, intervention, or treatment groups to have equal age and gender distribution among all groups. The B/B homodimerizer treatment was completely composed of animals positive for the INK ATTAC transgene while the intervention and control groups had a mixture of positive and negative animals. No differences have been shown between animals with and without the transgene. Animals were excluded from the analysis if they became sick or developed physical anomalies.
Data availability
scRNASeq data reported in this article can be obtained with the accession number GSE149984.
Supplementary Materials
Author Contributions
EW, LB, CA, SS and NB performed experiments and analyzed data. NB and CAM wrote the manuscript. CAM designed the study.
Acknowledgments
The authors thank Hui Pan and Jonathan Dreyfuss from Joslin’s Bioinformatic core for assisting with data analysis. To Susan Bonner-Weir for insightful discussion and teaching β-cell mass determination. We would like to thank Christopher Cahill of the Joslin Microscopy Core.
Conflicts of Interest
The authors declare no conflicts of interest related to this study.
Ethical Statement
All experiments were conducted at Joslin Diabetes Center with approval of its Animal Care and Use Committee.
Funding
This study was funded by Institutional Startup Funds to CAM, National Institutes of Health grants 1R01DK132535 to CAM, P30 DK036836 to Joslin Diabetes Center (Cores), Thomas J Beatson Jr foundation grant 2020-010 and the Richard and Susan Smith Family Foundation Award to CAM.
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