Abstract
Years of important research has revealed that cells heavily invest in regulating their size. Nevertheless, it has remained unclear why accurate size control is so important. Our recent study using hematopoietic stem cells (HSCs) in vivo indicates that cellular enlargement is causally associated with aging. Here, we present an overview of these findings and their implications. Furthermore, we performed a broad literature analysis to evaluate the potential of cellular enlargement as a new aging hallmark and to examine its connection to previously described aging hallmarks. Finally, we highlight interesting work presenting a correlation between cell size and age-related diseases. Taken together, we found mounting evidence linking cellular enlargement to aging and age-related diseases. Therefore, we encourage researchers from seemingly unrelated areas to take a fresh look at their data from the perspective of cell size.
1 Introduction
Aging is the time-dependent loss of physiological integrity (Lopez-Otin et al., 2013) that can lead to numerous diseases like neurodegenerative diseases, cardiovascular disease, autoimmune diseases and cancer (Sadighi Akha, 2018; Stauder et al., 2018; Hou Y. et al., 2019; Rodgers et al., 2019; Zjablovskaja and Florian, 2019). The appearance of some of these diseases is facilitated by aging-related stem cell dysfunction. One of the most significant examples of this are HSCs. HSCs possess the ability to self-renew and are multipotent, thereby giving rise to the multiple different cell types of the blood. A healthy blood system requires HSCs to balance and maintain both these abilities, which decline with age. This leads to stem cell exhaustion and biased lineage differentiation (Yamashita and Iwama, 2022), which can contribute to the development of anemia, leukemia and a compromised immune system (Dykstra and de Haan, 2008; Hill et al., 2017; Chen et al., 2019; Chopra and Bohlander, 2019; Anurogo et al., 2021).
Our current understanding of aging splits into nine categories known as the hallmarks of aging (Lopez-Otin et al., 2013): cellular senescence, mitochondrial dysfunction, stem cell exhaustion, telomere attrition, altered intercellular communication, deregulated nutrient sensing, loss of proteostasis, chromatin remodeling, and genomic instability. Each category represents a factor that 1) manifests during aging, 2) upon accumulation accelerates aging 3) and upon removal slows down aging (Lopez-Otin et al., 2013). By now these hallmarks are almost a decade old, and it is unclear whether additional hallmarks of aging exist.
Since the 1960s, it has been known that cells become large in vitro when entering the senescent state (Hayflick and Moorhead, 1961). Several researchers also observed that cells in vitro and in vivo enlarge during aging (Hayflick and Moorhead, 1961; Mitsui and Schneider, 1976a; Mitsui and Schneider, 1976b; Treton and Courtois, 1981; Martinelli et al., 2006a; Mammoto et al., 2019). Since then, tremendous efforts have been made towards understanding how cells regulate their size. However, it was not until recently that we gained a deeper understanding of why cells regulate their size (Miettinen and Bjorklund, 2016; Neurohr et al., 2019; Lengefeld et al., 2021). Focusing on HSCs, we discuss the implications of these recent findings and the potential of cellular enlargement as a new hallmark of aging (Lengefeld et al., 2021). Then, we highlight numerous publications reporting a correlation between cell size and diseases of old age. We expose the need for future research to address whether these correlations are reflecting a causal relationship between enlargement and function, and the implication this has on research areas that have so far not considered the importance of cell size.
2 Cellular enlargement: A new hallmark of aging?
A large body of literature highlights two important findings: 1) Different cell types display different average sizes (Ginzberg et al., 2015) and 2) cells maintain a uniform size by using several regulatory pathways (Lloyd, 2013; Cadart et al., 2014; Schmoller et al., 2015; Amodeo and Skotheim, 2016; Schmoller, 2017; Bjorklund, 2019). This raises the question of why cells invest in maintaining their size. Therefore, understanding what happens when cells fail to regulate their size is important. While the first findings around this topic led to controversial conclusions (Bilinski, 2012; Ganley et al., 2012; Kaeberlein, 2012), budding yeast has been a key model organism to provide the first evidence that cellular enlargement could be directly linked to cellular dysfunction during aging (Bilinski and Bartosz, 2006; Zadrag-Tecza et al., 2009; Yang et al., 2011; Bilinski et al., 2012; Neurohr et al., 2019). It is known that budding yeast cells enlarge during aging (Mortimer and Johnston, 1959; Yang et al., 2011; Bilinski, 2012; Lee et al., 2012; Denoth Lippuner et al., 2014). Preventing this enlargement with drugs preserves their replicative age (Johnson et al., 2013; Neurohr et al., 2019). Similarly, preventing cellular enlargement in vitro in primary human cells has been shown to maintain their capacity to enter the cell cycle thereby avoiding cellular senescence (Demidenko and Blagosklonny, 2008; Demidenko et al., 2009; Neurohr et al., 2019; Lanz et al., 2022).
Our recent publication dissected whether the role of cell size on cell function is based on correlation or causation. An intrinsic challenge was to manipulate cell size without targeting other pathways, and to delineate that the observed changes are causal and not correlative. This hurdle was tackled using HSCs
in vivo(
Lengefeld et al., 2021;
Strzyz, 2022):
• Six orthogonal approaches were examined under which HSCs became larger. In each of these conditions, HSC function was also compromised. HSC function was determined as their ability to form a blood system after transplantation into recipient mice. While it could be argued that each single manipulation affected HSC function unrelated to cell size, together these experiments suggest that the dysfunction was not driven by an unaccounted variable. Furthermore, alternate causes were excluded by analyzing other parameters of the hematopoietic system: homing, stem cell identity, differentiation potential and cell cycle state. Therefore, the simplest explanation is that enlargement of HSCs reduces their functionality.
• Treatment with a Cdk4/6 inhibitor (palbociclib-PD) caused artificial HSC enlargement and dysfunction. In PD-treated animals, not all HSCs became larger and those HSCs that stayed small displayed higher functionality than large HSCs from PD- or vehicle-treated mice. This indicates that PD-induced enlargement, rather than PD-treatment per se, causes HSC dysfunction.
Further lines of experimental evidence from this study support the conclusion that cellular enlargement causally decreases HSC function (
Lengefeld et al., 2021):
• Preventing HSC enlargement by inhibiting macromolecule biosynthesis (rapamycin treatment) during insults that enlarge HSCs (DNA damage, successive divisions and aging), protected HSCs from losing their stem cell function.
• Reducing the large size of non-functional HSCs by shortening G1 (RB mutation) restored their functionality. Removal of RB does not improve the function of control or small HSCs (Walkley and Orkin, 2006; Lengefeld et al., 2021), indicating that the lack RB does not improve stem cell function per se, but restores it specifically by reducing cell size.
Together these data make a strong case that enlargement drives the dysfunction of murine HSCs in vivo.
In addition to the above-listed observations, cellular enlargement also qualifies as a novel aging factor for HSCs (Figure 1): 1) HSCs naturally enlarge during aging, 2) artificially increasing cell size reduces HSC function and induces the appearance of aging characteristics and 3) preventing HSC enlargement during aging using rapamycin preserves the function of HSCs (Lengefeld et al., 2021). To thoroughly evaluate whether cell enlargement qualifies as an bona fide aging factor/hallmark, it will be important generalize these studies by testing for a causal relationship between enlargement and dysfunction also in other stem cells and even differentiated cells.
FIGURE 1

Scheme of commonly known nine hallmarks of aging in light-green and the new hallmark “Cellular Enlargement.” Scheme adopted from Lopez-Otin et al. (2013) and created with BioRender.com.
Of note, accumulating evidence suggest that small size is important for stem cells in general. Like HSCs, mesenchymal stem cells enlarge during aging in vitro (Oja et al., 2018), intestinal stem cells display size dependent functions (Lengefeld et al., 2021) and numerous stem cell types are small in size (Colter et al., 2000; Colter et al., 2001; Smith et al., 2004; Young et al., 2004; Virant-Klun et al., 2008; Zuba-Surma et al., 2008; Virant-Klun and Stimpfel, 2016). Thus, it is likely that mechanisms connecting cellular size with aging-related function are conserved in other stem cell types as well.
How do HSCs enlarge during aging? To explain the process of HSC enlargement and the consequent loss of their function during aging we proposed the following model (Lengefeld et al., 2021): As HSCs divide and age, they experience conditions that cause cell cycle arrest. For example, DNA damage incurred during replication (Geiger et al., 2013; Flach et al., 2014; Walter et al., 2015) activates cell cycle checkpoints that transiently halt division until the DNA damage is repaired (Sperka et al., 2012; Moehrle et al., 2015). During arrest phases, cell growth continues leading to increased HSC size (Fingar et al., 2002; Neurohr et al., 2019; Padovani et al., 2022). The enlarged HSCs become dysfunctional. Indeed, inhibition with rapamycin prevents enlargement during these arrests thereby preserving the function of HSCs (Lengefeld et al., 2021). This adds to our current understanding of the role of DNA damage and cellular dysfunction: In addition to DNA damage causing HSC dysfunction directly, DNA damage also drives HSC enlargement, which renders HSCs dysfunctional (Figure 2). Of note, DNA damage itself is not needed for the dysfunction of large HSCs, as increasing HSC size without DNA damage (e.g., mTOR overexpression) also drives the loss of function (Lengefeld et al., 2021). Overall, HSCs enlarge during aging after a series of transient cell cycle arrests, which ultimately causes their dysfunction.
FIGURE 2

How do HSCs enlarge? Transient cell cycle arrests drive enlargement of HSCs. Here, we display an example with DNA damage. DNA damage affects HSCs in two ways: 1) it causes dysfunction directly 2) and transiently arrest HSCs for DNA damage repair, during which growth continues. This leads to the enlargement of HSCs. Once they are too large, they become dysfunctional. Thus, DNA damage contributes to dysfunction also indirectly by enlarging HSCs. Created with BioRender.com.
Under physiological conditions, cells are able to return to their original size after size fluctuations by adjusting cellular growth and division speed (Cadart et al., 2018; Ginzberg et al., 2018; Bjorklund, 2019; Xie and Skotheim, 2020). Unexpectedly, like large HSCs (Lengefeld et al., 2021), yeast cells and primary human cells in vitro become larger with every division (Mortimer and Johnston, 1959; Mitsui and Schneider, 1976a; Mitsui and Schneider, 1976b; Bemiller and Miller, 1979; Yang et al., 2011; Lee et al., 2012) and do not shrink back to their original size. This is in line with the observation that many cell types enlarge with age in vivo and vitro (Roth et al., 1976; Treton and Courtois, 1981; Anversa et al., 1986; Melissari et al., 1991; Horsfall et al., 1994; Dyachenko etal., 2006; Martinelli et al., 2006a; Helms et al., 2010; Roh et al., 2013; Pucker et al., 2015; Mammoto et al., 2019; Delgado-González et al., 2020; Lengefeld et al., 2021; Yako et al., 2021). It is unclear why mechanisms of size homeostasis fail to reduce the size of these enlarging cell types.
In summary, an emerging picture in the field suggests a causal link between cell size and function in yeast, in vitro cell lines and in vivo systems. Furthermore, cellular enlargement aligns with the criteria of an aging hallmark. This highlights the importance of cell size for consideration in the design of aging studies.
3 Interplay between cellular enlargement of hematopoietic stem cells and other hallmarks of aging
Increased cell size was previously assumed to be a consequence of aging, rather than a causal factor (Johnson et al., 2013). Therefore, studies on aging may have overlooked cellular enlargement and did not evaluate a connection to other aging hallmarks. In this section, we discuss potential intersections between HSC enlargement and other hallmarks of aging, highlighting their overlaps and differences.
3.1 Cellular senescence
Senescent cells are irreversibly arrested in the cell cycle and are usually large in size (Biran et al., 2017). Large HSCs are always dysfunctional as they fail to build a blood system in vivo and display proliferative defects. This raises the question whether large HSCs are senescent and whether enlargement facilitates the senescent state (Lanz et al., 2022; Xie et al., 2022)? While little is known about this connection in HSCs, it has been shown that not all large HSCs are also senescent based on SA-β-gal production (Lengefeld et al., 2021). This indicates that HSC enlargement does not strictly induce cellular senescence. Nevertheless, based on the observation that senescent HSCs are always large, we speculate that large HSCs may be more prone to acquire the senescent program when exposed to additional damage. This is supported by the observation that larger human cells in vitro are as well more prone to senescence potentially via expansion of lysosomes and the endoplasmic reticulum (Cheng et al., 2021; Lanz et al., 2022). Overall, it will be important to further investigate how HSC enlargement increases the likelihood of entering the senescent state.
3.2 Telomere attrition and DNA damage
Telomere shortening and the accumulation of DNA damage during aging contribute to cellular dysfunction (Lopez-Otin et al., 2013). Are telomere shortening and DNA damage also contributing to the dysfunction of large HSCs? As outlined above, DNA damage contributes to enlargement as it transiently halts HSC division to repair the DNA damage (Sperka et al., 2012). During this arrest, cell growth continues leading to HSC enlargement (Fingar et al., 2002; Neurohr et al., 2019). This enlargement drives dysfunction of HSCs. When growth is inhibited with rapamycin during this DNA damage, HSCs maintain their functionality (Lengefeld et al., 2021). Thus, if telomere shortening during DNA damage induced enlargement is crucial for their dysfunction, then we expect rapamycin to prevent telomere shortening and the associated accumulation of DNA damage. This is not the case. Rapamycin does not prevent DNA damage in HSCs and, so far, no protective effect of rapamycin on telomere length has been reported (Kawauchi et al., 2005; Qi et al., 2008; Ungar et al., 2011; Gopalakrishnan et al., 2018; Ferrara-Romeo et al., 2020). Additionally, other studies have indicated that it is still unclear whether telomere length plays a crucial role in HSC exhaustion (Allsopp et al., 2003): Telomeres become shorter during divisions of HSCs (Allsopp et al., 2001). However, at least in mice, HSCs become exhausted even when telomere shortening is prevented by telomerase overexpression (Allsopp et al., 2003) arguing that there are telomere-independent barriers to HSC function. Furthermore, we would like to speculate about the possible protective feature of enlargement. DNA-damage leads to enlargement and potentially permanent gene mutations and chromosomal aberrations. However, this enlargement in turn reduces the proliferation potential of these cells and thereby may prevent the propagation of potentially harmful features in the tissue that could facilitate, for example, a malignant transformation. In summary, DNA damage contributes to HSC dysfunction by enlarging their size, while telomere attrition seems to play a less dominant role than enlargement in causing HSC dysfunction.
3.3 Mitochondrial dysfunction
Mitochondrial volume typically scales with cell size in dividing cells supporting faithful cellular functions (Posakony et al., 1977; Rafelski et al., 2012; Miettinen and Bjorklund, 2016; Cheng et al., 2021; Lanz et al., 2021; Seel et al., 2022). For example, HSCs are able to scale mitochondria upon their activation (Ho et al., 2017). Changes in mitochondrial morphology and volume beyond this scaling are associated with cellular dysfunction (Chistiakov et al., 2014). Mitochondrial number and volume have often been quantified in old cells, but the results have been inconsistent. In vitro, some cell types display decreased mitochondrial volume (Stoll et al., 2011; Yako et al., 2021; Barilani et al., 2022), but most human cell lines increase their mitochondrial volume as they become larger and senescent (Lee et al., 2002; Passos et al., 2007; Koziel et al., 2011; Xie et al., 2011; Correia-Melo et al., 2016; Stab et al., 2016). It is noteworthy that increased mitochondrial volume does not necessarily translate into increased mitochondrial functions in vitro (Passos et al., 2007; Passos et al., 2010; Miettinen and Bjorklund, 2016). Furthermore, in vivo studies often reported decreased mitochondrial volume during aging (Markowska et al., 1994; Navarro and Boveris, 2004; Mathieu-Costello et al., 2005; Martinelli et al., 2006a; Addabbo et al., 2009; Leduc-Gaudet et al., 2015; Del Campo et al., 2018; Brown et al., 2021; Lengefeld et al., 2021). For example, in large HSCs mitochondrial volume decreases per unit volume (Lengefeld et al., 2021). Currently, the underlying reasons for these differences in vitro and in vivo are unclear. One possibility is that they are facilitated by different oxygen levels in vivo (hypoxic) and in vitro (hyperoxic). Nevertheless, these changes in mitochondrial volume during aging are associated with a decline in mitochondrial function, potentially driven by differences in fusion, fission and mitophagy (Mai et al., 2010; Korolchuk et al., 2017; Yako et al., 2021). Whether changes in mitochondrial morphology, volume and number during aging are the cause or consequence of cellular enlargement remains to be determined. In summary, while mitochondria volume and function scale with cellular size during faithful divisions, these parameters become uncoupled when cells enlarge during aging.
3.4 Loss of proteostasis
The scaling of protein levels with cell size is important for cellular function (Fraser and Nurse, 1978; Padovan-Merhar et al., 2015; Schmoller and Skotheim, 2015; Sun et al., 2020; Cheng et al., 2021; Lanz et al., 2021). Upon substantial enlargement of primary human cells in vitro, protein synthesis rates and ribosome levels decrease (Delarue et al., 2018; Neurohr et al., 2019). However, considering that disruptions of proteostasis contribute to HSC aging (Signer et al., 2014; Kruta et al., 2021), it was surprising that measurements of nucleolar size, cellular density, mTOR activity and protein synthesis in large HSCs indicated no loss of protein synthesis capacity (Lengefeld et al., 2021). While protein synthesis was unaffected by large HSC size, whether protein turn-over, folding state, aggregation and protein-protein interactions were impaired is unknown. Indeed, during aging, misfolded proteins contribute to the loss of cellular function (Lopez-Otin et al., 2013) and it will be important to analyze whether large stem cell size affects the accumulation of these misfolded proteins.
How enlargement of HSCs is related to the remaining hallmarks of aging like chromatin remodeling, genomic instability, nutrient sensing and intercellular communication is at this point unclear. It will be important to understand which aging hallmarks act in the same pathways as cellular enlargement to build a holistic picture of aging. Furthermore, initial experimental evidence suggests that enlargement can be reversed, which improved stem cell function (Lengefeld et al., 2021). This may open the possibility that other aging factors that are connected to cell size can be improved when shrinking stem cells.
4 Relation between cell size and aging-related functions: A fresh look at old studies
As mentioned above, to evaluate whether cell enlargement qualifies as an aging factor/hallmark, it will be important to test for a causal relationship between enlargement and cellular dysfunction during aging in various different cell types. Interestingly, we can extract clues from numerous studies for how cell size potentially affects various cellular functions. Here, we present publications showing examples of cell size in association with different aspects of aging and pathologies (Figure 3). Whether size is causally associated with the corresponding changes is not addressed in these studies. Nevertheless, considering the recent findings that cellular enlargement manifests itself an aging factor, we take a fresh look at these studies in the next sections.
FIGURE 3

Literature research of connections between cell size and various cellular functions associated with aging. A total of 1,626 publications were manually collected using PubMed.gov and keywords related to cellular functions in combination with cell size in the abstract [“cell size” OR “cell volume” AND (category)]. These publications were categorized based on cell type and cellular function and presented as heat map. Aging factors are displayed in bold. AI methods for computation abstract search were considered, however this technology is currently limited for this purpose. We do not differentiate whether cellular size changes are associated with polyploidy, osmolarity or in vivo/in vitro studies. This figure is not a complete representation of the literature but gives the first unbiased insight that cellular size is connected to a large variety of cellular functions. On the left side of the image, we highlight the areas that we focus on in the main text. Created with BioRender.com.
4.1 Enlargements as part of faithful cellular functions
Before we dive into the literature evaluating cellular size and age-related dysfunctions, we would like to point out examples of enlargement that are not associated with dysfunction.
Cell cycle - Cells usually double in size during the cell cycle to ensure that their daughter cells are the same size as the original mother cell after symmetric cell division (Lloyd, 2013). In muscle satellite cells, this enlargement can happen already prior to cell cycle entry and is called the Galert state. This enables an accelerated entry into a proliferating state after repeated muscle injury (Rodgers et al., 2014).
Differentiation - Another example of enlargement as part of faithful cellular processes is differentiation, in particularly during development. For example, 1) keratinocyte enlargement during differentiation is proposed to enable the formation of an insoluble protein envelope at the plasma membrane (Watt and Green, 1981), 2) terminal differentiation drives enlargement of chondrocytes (hypertrophy) as part of skeletal tissue elongation (Cooper et al., 2013), 3) cardiomyocytes increase in size during heart development (Knaapen et al., 1996; Li et al., 1996), and 4) T cell activation requires profound changes in cell size (Kaesler et al., 2012). Furthermore, during cell manipulations that trigger differentiation, cells not only acquire a new cell identity but also a new cell size, which is optimal for this cell type. For example, overexpression of RUNX3, results in an increase in cell size and a block in faithful differentiation of erythrocytes (Menezes et al., 2022).
Ploidy - Changes in ploidy are generally associated with enlargement, but do not necessarily lead to dysfunction (Gillooly et al., 2015; Mu et al., 2020). For example, during adolescence, mouse acinar cells often become tetraploid and increase in size without losing their function (Xanthopoulos et al., 2008). On the other hand, polyploidization of hepatocytes occurs successively during postnatal development and again during advanced aging. The latter being associated with senescence, progressive loss of cell pluripotency and decreased replication capacity (Celton-Morizur and Desdouets, 2010; Wang et al., 2017).
Apoptosis - Cell volume decrease is characteristic of apoptotic cell death (Bortner and Cidlowski, 2002; Núñez et al., 2010). Cancer cells are able to prevent apoptotic shrinking by modulating the activity of ion channels (Lehen’kyi et al., 2011).
In conclusion, changes in cell volume are part of cellular processes and not necessarily associated with dysfunction. In the next part of this section, we will highlight findings, in which cellular enlargement is associated with aging, dysfunction and disease.
4.2 The mechanical microenvironment and cell size
Cell size is influenced by matrix stiffness, osmotic pressure and mechanical forces (Wang et al., 2020a). For example, cells substantially shrink when cultivated on substrates of increased stiffness (Guo et al., 2017; Xie et al., 2018; Yang et al., 2020). Interestingly, modulation of the external stiffness, and thereby cellular size, affects cellular function. For example, mesenchymal stem cells (MSCs) enlarge during aging in vitro and in vivo, which is accompanied by a senescent phenotype including high levels of p21, β-galactosidase, and SASP (Block et al., 2017; Yin et al., 2020; Liu et al., 2021). When MSCs are cultivated at an optimal substrate stiffness, they maintain their small size and proliferation capacity and do not become senescent (Kureel et al., 2019). Furthermore, cultivating large aged endothelial cells on substrate with increased stiffness rejuvenates these cells and reduces their size (Mammoto et al., 2019). The underlying mechanism is unknown. Together, this suggests that the environmental stiffness can modulate cellular size and thereby cellular functionality in vitro.
It is important to note that cells in 2D monocultures are exposed to a different microenvironment than in the in vivo 3D tissue context. In vivo, cells face the extracellular matrix (ECM), neighboring cells, biochemical and physical cues (Barthes et al., 2014), which all affect the environmental stiffness. As tissues have different solidity states, it is expected that stiffness varies between tissues and organs (Butcher et al., 2009). During aging in vivo, increased stiffness is associated with malignancy (Lieber et al., 2004; Butcher et al., 2009; Stearns-Reider et al., 2017; Segel et al., 2019; Ghosh et al., 2020), while stiffness decreases in some organs like the skin (Tissot et al., 2018; Runel et al., 2020; Lynch et al., 2022) and muscle tissues (Akagi et al., 2015; Yoshida et al., 2017; Alfuraih et al., 2019). We speculate that reduced stiffness contributes to cellular enlargement during aging. It will be of critical interest to analyze how microenvironmental forces affect cellular size and thereby cellular function during aging in vivo. In summary, the microenvironment modulates cell size and therefore likely cell function as well.
4.3 Cell size of red blood cells
Red blood cell distribution width (RDW) represents variability of the size distribution of red blood cells and has been used as a marker for multiple aging-related pathologies (Salvagno et al., 2015). RDW involves a change in mean corporal volume (MCV). An increase in MCV, meaning increase in red blood cell volume, correlates with aging (Hoffmann et al., 2015; Lippi et al., 2018) and numerous diseases like anemia, autoimmune diseases, cancer types, and cardio- and cerebrovascular diseases (Bessman et al., 1983; Li et al., 2017; Lippi et al., 2018; Katsaros et al., 2020). Interestingly, not only enlargement, but a deviation from optimal red blood cell size in general is associated with diseases, for example, various leukemia forms, Alzheimer’s disease, Parkinson’s disease, autoimmune disease, and macular degeneration (Pilling et al., 2017; Lippi et al., 2018; Katsaros et al., 2020; Kim et al., 2021).
It is unclear why red blood cells of many diseased individuals are large. The fact that red blood cells lack organelles, such as a nucleus and mitochondria, implies that the underlying mechanism driving dysfunction is different from the one in HSCs, in which these organelles are necessary for enlargement and dysfunction (Lengefeld et al., 2021). Furthermore, the correlation of RDW with aging-associated diseases has not been investigated for a causal relationship. Overall, RDW is a robust indicator of numerous diseases, but the origin of this relationship is insufficiently understood.
4.4 Cell size of adipocytes
Large size of adipocytes is associated with several pathophysiological conditions like reduced response to hormones, increased inflammation, impaired body metabolic regulation and insulin resistance, which is associated with type 2 diabetes (Bjorntorp et al., 1972; Bernstein et al., 1975; Weyer et al., 2000; Lundgren et al., 2007; Lonn et al., 2010; Yang et al., 2012; McLaughlin et al., 2014; Laforest et al., 2015; Stenkula and Erlanson-Albertsson, 2018; Liu et al., 2020). However, it is also suggested that it is the enlargement and not the absolute size that predicts insulin resistance (Johannsen et al., 2014). Interestingly, a recent model proposes that enlargement of adipocytes itself affects the interaction of the cell with the ECM. This activates integrin/Erk signaling and modulates gene expression (Farnier et al., 2002; Farnier et al., 2003). It will be exciting to see further studies evaluating the causality of cellular enlargement on adipocyte function.
Mean adipocyte size increases between middle and old age and then decreases with advanced age (Miller et al., 2017). Interestingly, this correlates with the risk for the onset of type 2 diabetes, which peaks at 45–65 years and lowers afterwards (Plummer et al., 2016; Sattar et al., 2019; Jacobs et al., 2020; Hu et al., 2021). Nevertheless, while smaller adipocyte size during advanced age correlates with a lower onset risk of type 2 diabetes, it coincides also with another unfavorable outcome: A result of decreased adipocyte size is the decline in fat depot size, which leads to the accumulation of fat outside adipose tissue like in the bone marrow, muscle and liver. This is associated with lipotoxic stress in the storage organs and lower organ function with age (Rosen and Bouxsein, 2006; Slawik and Vidal-Puig, 2006). Overall, enlargement of adipocytes predicts obesity-associated pathologies like type 2 diabetes and during aging, the shrinkage of adipocytes is likely associated with other pathologies.
4.5 The aging brain and Alzheimer’s disease
At old age, brain volume declines (Haug and Eggers, 1991; Resnick et al., 2003). Studies indicate that this is caused by a shrinking of neuronal cell size (Anderson et al., 1983; Terry et al., 1987; Diaz et al., 1999; Kuwahara et al., 2004; Martinelli et al., 2006b; Fernandez et al., 2007; Stark et al., 2007; Freeman et al., 2008; Verkhratsky et al., 2014; Popov et al., 2021). Nevertheless, in some areas of the brain neurons maintain size or enlarge with age (de Lacalle et al., 1991; Merrill et al., 2000; Martinelli et al., 2006b; Verkhratsky et al., 2014; Thulborn et al., 2016; Delgado-Gonzalez et al., 2020; Yako et al., 2021). Interestingly, during neurodegenerative diseases such as Alzheimer’s, neurons enlarge. Overexpression of the amyloid precursor protein causes enlargement of cortical neuron size (Oh et al., 2009) and larger neuronal cell lines are more Aβ-sensitive (Simakova and Arispe, 2007). This causes cellular toxicity and resembles cellular damage in Alzheimer’s diseased brains. Furthermore, an increase in cell size or neuronal hypertrophy has been reported in elderly that display no cognitive symptoms yet but markers of Alzheimer’s disease (Iacono et al., 2008). At later stages of Alzheimer’s disease progression, oligodendrocyte progenitor cells increase in size (Vanzulli et al., 2020) and neocortical neurons are enlarged in Alzheimer patients (Bundgaard et al., 2001; Pakkenberg et al., 2003). In summary, while most neuronal cell types shrink during aging, areas that contain neurons that enlarge might be especially prone to processes that result in symptoms of Alzheimer’s disease.
4.6 Cardiomyocyte hypertrophy
As the proliferative capacity of heart cells becomes severely restricted after birth, the postnatal increase of heart volume is achieved by cardiomyocyte hypertrophy (Li et al., 1996; Porrello et al., 2011). Heart hypertrophy coincides at the cellular level with nuclear polyploidization, multinucleation, and cellular growth (Derks and Bergmann, 2020). While cardiomyocyte hypertrophy is associated with development and adjustment to exercise (Ellison et al., 2012), it also predicts numerous cardiovascular diseases like ischemic disease, hypertension, heart failure, and valvular disease (Wang et al., 2013; Akhondzadeh et al., 2020; Peter et al., 2016). This raises an important question: What is the difference between physiological and pathological cellular hypertrophy?
Cellular growth driven by the IGF1/PI3K/Akt1 pathways facilitates heart enlargement after exercise, while signaling via Gq protein-coupled receptors, reduced blood supply, oxidative stress, inflammatory processes and Ca2+ abnormalities drive cellular growth and enlargement of the heart associated with pathology (Weeks and McMullen, 2011; Oldfield et al., 2020). Thus, in the case of the heart, enlargement is associated with opposite outcomes and thus, it seems unlikely that they are driven by enlargement itself.
Nevertheless, there are some interesting differences to be noted: For example, enlargement after exercise changes the cellular shape in a different way than during disease (Kuo et al., 2012; Peter et al., 2016). Furthermore, it could be that pathological hypertrophy enlarges cardiomyocytes beyond a size-threshold due to extensive growth. This is supported by the observation that cardiomyocytes after exercise are smaller than cardiomyocytes under diabetic stress (Stolen et al., 2009). While many cardiomyocytes become polyploid during pathological enlargement, whether this enlargement is always accompanied with an increase in DNA copy number is unclear. Interestingly, in yeast, enlargement without increasing DNA copy number results in cytoplasmic dilution and dysfunction (Neurohr et al., 2019). Thus, it will be interesting to investigate whether mechanisms like cytoplasmic dilution contribute to the dysfunction of cardiomyocytes upon pathological enlargement and whether polyploidization is a compensating mechanism to prevent this functional loss. Indeed, polyploidy has been hypothesized as a mechanism to increase metabolic and growth capacity of cells (Frawley and Orr-Weaver, 2015; Mu et al., 2020). Furthermore, if it is true that pathological enlargement facilitates changes in ploidy, this could also include changes like large genomic aberrations and aneuploidy. These genomic defects may also facilitate unwanted downstream effects. Indeed, aneuploidy is a distinct feature of cancer cells (Ben-David and Amon, 2020). Overall, being of the right size is important for cardiomyocytes (Ren and Brown-Borg, 2002) and hypertrophy is a crucial characteristic of adjusting to exercise and pathology.
4.7 Cell volume and cancer
Heterogeneity of cell size and shape are often observed in tumors and referred to as pleomorphism (Manocha et al., 2003; Terzakis et al., 2005). This raises the question of whether a failure of size regulation is facilitating cancer progression. Some research suggests that size heterogeneity of cancer cells provides the highest malignant potential (Kawada et al., 1994; Manukyan et al., 2021). Furthermore, the population of small cells within tumors raise attention. Small prostate cancer cells build more malignant tumors than large ones (Li et al., 2015). Mutated STAT3 is a crucial cancer facilitator and leukemia patients with STAT3 mutations carry smaller blood cells than patients without these mutations (Tanahashi et al., 2016) suggesting that the smaller cells might facilitate cancer progression. It is also speculated that cancer stem cells are small, just like most stem cells (Berardi et al., 1995; Colter et al., 2001; Young et al., 2004; Virant-Klun and Stimpfel, 2016). The small size could result from the fast proliferation of cancer cells, leaving little time for growth during these short cell cycle durations (Lloyd, 2013; Wright and Schneider, 2014). On the other hand, a small size might support the cancerous potential of the cells. One possibility is that size affects the migration behavior of cancer cells (Leal-Egana et al., 2017; Wang et al., 2020b). Overall, the literature provides interesting clues that a deviation from the optimal cell size is associated with cancer, but whether and how size modulates malignancy is unclear.
Solid tumors are usually an assembly of distinct cell types including infiltrating immune cells, each owning their own cell size (Ginzberg et al., 2015). Thus, the size heterogeneity found in cancer tissues could reflect the tumor’s composition of various cell types (Shembrey et al., 2019) and not a failure in size regulation of the cells that originated the cancer. However, cell size could still serve as a diagnostic marker for certain types of cancers. For example, for acute lymphoblastic leukemia, the significance of cell size as a prognostic indicator is heavily investigated (Mathe et al., 1971; Pantazopoulos and Sinks, 1974; Murphy et al., 1975; Oster et al., 1976; Dubner et al., 1978; Ghani and Krause, 1986; Olcay et al., 1999). Further research is needed to determine whether cell size is a reliable predictor of malignancy. Investigating the potential link between cellular size and cancer potential will be crucial for the development of new therapies for cancer treatments.
4.8 Effect of cell cycle inhibitors on cell size during treatment approaches
As discussed, an arrest in cell cycle causes cellular enlargement (Fingar et al., 2002; Neurohr et al., 2019; Lengefeld et al., 2021). Cell cycle inhibitors like palbociclib, dinaciclib, seliciclib, ribociclib, and abemaciclib therefore enlarge cell size. These kinds of drugs are already successfully used in clinical trials or are even FDA-approved for cancer treatment. As enlargement can cause dysfunction, this could contribute to the inhibitory success of these cell cycle inhibitors in cancer treatments. Recent studies provide important insights into this topic. Uncoupling cell growth and proliferation in cancer cells by arresting them in G1 phase leads to toxic overgrowth and senescence (Wilson et al., 2021; Crozier et al., 2022; Foy et al., 2022; Manohar et al., 2022). Furthermore, keeping patient-derived glioma stem cells small (rapamycin treatment) during cell cycle arrest (palbociclib) prevents their entry into a senescence state (Morris-Hanon et al., 2019). Thus, growth and enlargement, in addition to cell cycle arrest, effectively inhibit cancer cells from proliferating and cancer treatments using cell cycle inhibitors may therefore not be combined with rapamycin.
Cell cycle inhibitors like palbociclib have also been investigated as treatment for other pathologies: mast cell-mediated allergy (Hou Y. B. et al., 2019), diabetic cardiomyopathy (Wang et al., 2019), pulmonary arterial hypertension (Weiss et al., 2019), replication of herpes virus (Badia et al., 2016), systemic sclerosis (Yamamoto et al., 2022) and spinal muscular atrophy (Hor et al., 2018). It will be important to evaluate how arrest-induced growth and enlargement affect the outcome of these diseases. Overall, this highlights the importance of understanding how growth and enlargement contribute to the multilayered effects of treatment drugs.
4.9 Cell size and lifespan
Cell enlargement is associated with cellular aging. Does cell size also influence organismal lifespan? A recent study found a reliable predictor of lifespan across 24 mammalian species: Pancreatic acinar cell volume inversely correlates with lifespan of different species (Anzi et al., 2018). Noting that ploidy was not accounted for in this correlation, the study suggests that these results might apply to multiple other tissues. Mice with a reduced body size and hereditary dwarfism are longer-lived than larger mice (Roberts, 1961; Eklund and Bradford, 1977; Brown-Borg et al., 1996; Miller et al., 2000; Flurkey et al., 2002; Miller et al., 2002). Interestingly, cardiomyocytes from old dwarf mice are smaller compared to their wild-type counterparts (Helms et al., 2010). While these smaller cardiomyocytes are associated with cardiac contractile defects (Ren and Brown-Borg, 2002), they also display reduced extracellular collagen, which is protective against heart disease (Helms et al., 2010) and may have improved cardiac function during aging (Li et al., 2007; Reddy et al., 2007). It remains to be determined whether small cardiomyocyte size is contributing to longevity. We note that there are cell types that are exceptions: for example, human neurons and astrocytes are larger than the ones in mice (Herculano-Houzel et al., 2006; Oberheim et al., 2009; Rostock et al., 2018), yet humans live longer than mice. Overall, cellular size could serve as an indicator of lifespan when choosing the correct cell type.
5 Summary and outlook
Researchers unraveling the process of aging and its associated diseases have revealed that aging is associated with great phenotypic variation, which is driven by several aging hallmarks. Now, it crystalizes that one of these hallmarks is cellular enlargement, at least for HSCs. Recent data suggest that cellular enlargement is not only correlated with aging, but also causally contributes to the functional decline of HSCs during aging. While cells have an innate ability to regulate their cell size, upon age-dependent enlargement this regulatory mechanism fails. This new concept of cellular enlargement driving dysfunction during aging has been tested for HSCs. Interestingly, numerous other cell types have also been observed to enlarge during aging (Hayflick and Moorhead, 1961; Mitsui and Schneider, 1976a; Mitsui and Schneider, 1976b; Treton and Courtois, 1981; Martinelli et al., 2006a; Mammoto et al., 2019). This raises the possibility that cellular enlargement contributes to aging in other cell types. Moving forward, the research community will benefit from further experiments providing critical evidence of whether cellular enlargement is cause or consequence of aging in other stem cell types and differentiating cells. Furthermore, 1) researchers working with rare clinical samples should consider whether a simple measurement of cellular size will lead to important insights on aging, 2) categorizing cell types by cell size might explain ageing-related heterogeneity of samples and even reveal new pathways, 3) cancer treatments might cause the desired effect or undesired side-effects by changing cell size, and 4) enlargement of certain cell types might explain aging-associated cellular dysfunctions. As a result, cellular enlargement might affect several processes related to physiology, aging and disease that have so far not been connected to cell size. Understanding how cellular enlargement relates to aging and disease will help to explain previous observations, direct research, and support the development of new therapies for aging-related diseases.
Changes in the cell’s volume during various processes are necessary for the cell to function, for example during the cell cycle, development, and differentiation. Interestingly, the literature also provides an overwhelming number of publications reporting a correlation between cell size and various cellular dysfunctions. Our literature analysis revealed areas, which are connected to cell size like cancer, cardiovascular diseases, obesity, autoimmune diseases and Alzheimer’s disease. Other factors, like the ECM stiffness, caught our attention for having a potential effect on cell size in vivo. Interestingly, not only enlargement of cells is associated with dysfunctions, but a general deviation from the optimal cell size affects cancer progression, diseases associated with red blood cells and potentially neurodegenerative aging. Furthermore, cell size might be a predictor of lifespan, cancer, type 2 diabetes, heart failure and Alzheimer’s disease. A systematic documentation of cell size of different cell types during health, disease and aging may allow to define a threshold beyond which cells are more likely dysfunctional. Overall, this could indicate that there is a relationship between cell size and cellular failure in different cell types of multicellular systems. However, this hypothesis needs testing. Now, we encourage researchers to test a potential causal connection between cell size, pathology and aging, to analyze the value of cell size as a prognostic marker for diseases, and to evaluate whether cellular enlargement qualifies as a new aging hallmark. These new insights will affect research areas that have so far not considered the importance of cell size.
Statements
Author contributions
DD and JL wrote the manuscript, all authors edited the manuscript and created the figures.
Funding
JL was supported by the Academy of Finland and Instrufoundation fellow grant.
Acknowledgments
We are grateful to the members of the Lengefeld lab, E. Cerezo, K. Schmoller, J. Kamenz, A. X. Su, F. Padovani, and J. Saarikangas for discussion and feedback. We apologize to the authors of studies that we were not able to mention here due to space restrictions.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1
Addabbo F. Ratliff B. Park H. C. Kuo M. C. Ungvari Z. Csiszar A. et al (2009). The krebs cycle and mitochondrial mass are early victims of endothelial dysfunction: Proteomic approach. Am. J. Pathol.174, 34–43. 10.2353/ajpath.2009.080650
2
Akagi R. Yamashita Y. Ueyasu Y. (2015). Age-related differences in muscle shear moduli in the lower extremity. Ultrasound Med. Biol.41, 2906–2912. 10.1016/j.ultrasmedbio.2015.07.011
3
Akhondzadeh F. Astani A. Najjari R. Samadi M. Rezvani M. E. Zare F. et al (2020). Resveratrol suppresses interleukin-6 expression through activation of sirtuin 1 in hypertrophied H9c2 cardiomyoblasts. J. Cell. Physiol.235, 6969–6977. 10.1002/jcp.29592
4
Alfuraih A. M. Tan A. L. O'Connor P. Emery P. Wakefield R. J. (2019). The effect of ageing on shear wave elastography muscle stiffness in adults. Aging Clin. Exp. Res.31, 1755–1763. 10.1007/s40520-019-01139-0
5
Allsopp R. C. Cheshier S. Weissman I. L. (2001). Telomere shortening accompanies increased cell cycle activity during serial transplantation of hematopoietic stem cells. J. Exp. Med.193, 917–924. 10.1084/jem.193.8.917
6
Allsopp R. C. Morin G. B. Horner J. W. DePinho R. Harley C. B. Weissman I. L. (2003). Effect of TERT over-expression on the long-term transplantation capacity of hematopoietic stem cells. Nat. Med.9, 369–371. 10.1038/nm0403-369
7
Amodeo A. A. Skotheim J. M. (2016). Cell-size control. Cold Spring Harb. Perspect. Biol.8, a019083. 10.1101/cshperspect.a019083
8
Anderson J. M. Hubbard B. M. Coghill G. R. Slidders W. (1983). The effect of advanced old age on the neurone content of the cerebral cortex. Observations with an automatic image analyser point counting method. J. Neurol. Sci.58, 235–246. 10.1016/0022-510x(83)90220-4
9
Anurogo D. Yuli Prasetyo Budi N. Thi Ngo M. H. Huang Y. H. Pawitan J. A. (2021). Cell and gene therapy for anemia: Hematopoietic stem cells and gene editing. Int. J. Mol. Sci.22, 6275. 10.3390/ijms22126275
10
Anversa P. Hiler B. Ricci R. Guideri G. Olivetti G. (1986). Myocyte cell loss and myocyte hypertrophy in the aging rat heart. J. Am. Coll. Cardiol.8(6), 1441–8. 10.1016/s0735-1097(86)80321-7
11
Anzi S. Stolovich-Rain M. Klochendler A. Fridlich O. Helman A. Paz-Sonnenfeld A. et al (2018). Postnatal exocrine pancreas growth by cellular hypertrophy correlates with a shorter lifespan in mammals. Dev. Cell.45, 726–737. 10.1016/j.devcel.2018.05.024
12
Badia R. Angulo G. Riveira-Munoz E. Pujantell M. Puig T. Ramirez C. et al (2016). Inhibition of herpes simplex virus type 1 by the CDK6 inhibitor PD-0332991 (palbociclib) through the control of SAMHD1. J. Antimicrob. Chemother.71, 387–394. 10.1093/jac/dkv363
13
Barilani M. Lovejoy C. Piras R. Abramov A. Y. Lazzari L. Angelova P. R. (2022). Age-related changes in the energy of human mesenchymal stem cells. J. Cell. Physiol.237, 1753–1767. 10.1002/jcp.30638
14
Barthes J. Ozcelik H. Hindie M. Ndreu-Halili A. Hasan A. Vrana N. E. (2014). Cell microenvironment engineering and monitoring for tissue engineering and regenerative medicine: The recent advances. Biomed. Res. Int.2014, 921905. 10.1155/2014/921905
15
Bemiller P. M. Miller J. E. (1979). Cytological changes senescing WI-38 cells: A statistical analysis. Mech. Ageing Dev.10, 1–15. 10.1016/0047-6374(79)90066-6
16
Ben-David U. Amon A. (2020). Context is everything: Aneuploidy in cancer. Nat. Rev. Genet.21, 44–62. 10.1038/s41576-019-0171-x
17
Berardi A. C. Wang A. Levine J. D. Lopez P. Scadden D. T. (1995). Functional isolation and characterization of human hematopoietic stem cells. Science267, 104–108. 10.1126/science.7528940
18
Bernstein R. S. Grant N. Kipnis D. M. (1975). Hyperinsulinemia and enlarged adipocytes in patients with endogenous hyperlipoproteinemia without obesity or diabetes mellitus. Diabetes24, 207–213. 10.2337/diab.24.2.207
19
Bessman J. D. Gilmer P. R. Jr. Gardner F. H. (1983). Improved classification of anemias by MCV and RDW. Am. J. Clin. Pathol.80, 322–326. 10.1093/ajcp/80.3.322
20
Bilinski T. Bartosz G. (2006). Hypothesis: Cell volume limits cell divisions. Acta Biochim. Pol.53, 833–835. 10.18388/abp.2006_3313
21
Bilinski T. (2012). Hypertrophy, replicative ageing and the ageing process. FEMS Yeast Res.12, 739–740. 10.1111/j.1567-1364.2012.00843.x
22
Bilinski T. Zadrag-Tecza R. Bartosz G. (2012). Hypertrophy hypothesis as an alternative explanation of the phenomenon of replicative aging of yeast. FEMS Yeast Res.12, 97–101. 10.1111/j.1567-1364.2011.00759.x
23
Biran A. Zada L. Abou Karam P. Vadai E. Roitman L. Ovadya Y. et al (2017). Quantitative identification of senescent cells in aging and disease. Aging Cell.16, 661–671. 10.1111/acel.12592
24
Bjorklund M. (2019). Cell size homeostasis: Metabolic control of growth and cell division. Biochim. Biophys. Acta. Mol. Cell. Res.1866, 409–417. 10.1016/j.bbamcr.2018.10.002
25
Bjorntorp P. Grimby G. Sanne H. Sjostrom L. Tibblin G. WiLheLmsen L. (1972). Adipose tissue fat cell size in relation to metabolism in weight-stabile, physically active men. Horm. Metab. Res.4, 182–186. 10.1055/s-0028-1094045
26
Block T. J. Marinkovic M. Tran O. N. Gonzalez A. O. Marshall A. Dean D. D. et al (2017). Restoring the quantity and quality of elderly human mesenchymal stem cells for autologous cell-based therapies. Stem Cell. Res. Ther.8, 239. 10.1186/s13287-017-0688-x
27
Bortner C. D. Cidlowski J. A. (2002). Apoptotic volume decrease and the incredible shrinking cell. Cell. Death Differ.9, 1307–1310. 10.1038/sj.cdd.4401126
28
Brown A. D. Davis L. A. Fogarty M. J. Sieck G. C. (2021). Mitochondrial fragmentation and dysfunction in type IIx/IIb diaphragm muscle fibers in 24-month old fischer 344 rats. Front. Physiol.12, 727585. 10.3389/fphys.2021.727585
29
Brown-Borg H. M. Borg K. E. Meliska C. J. Bartke A. (1996). Dwarf mice and the ageing process. Nature384, 33. 10.1038/384033a0
30
Bundgaard M. J. Regeur L. Gundersen H. J. Pakkenberg B. (2001). Size of neocortical neurons in control subjects and in Alzheimer's disease. J. Anat.198, 481–489. 10.1046/j.1469-7580.2001.19840481.x
31
Butcher D. T. Alliston T. Weaver V. M. (2009). A tense situation: Forcing tumour progression. Nat. Rev. Cancer9, 108–122. 10.1038/nrc2544
32
Cadart C. Monnier S. Grilli J. Saez P. J. Srivastava N. Attia R. et al (2018). Size control in mammalian cells involves modulation of both growth rate and cell cycle duration. Nat. Commun.9, 3275. 10.1038/s41467-018-05393-0
33
Cadart C. Zlotek-Zlotkiewicz E. Le Berre M. Piel M. Matthews H. K. (2014). Exploring the function of cell shape and size during mitosis. Dev. Cell.29, 159–169. 10.1016/j.devcel.2014.04.009
34
Celton-Morizur S. Desdouets C. (2010). Polyploidization of liver cells. Adv. Exp. Med. Biol.676, 123–135. 10.1007/978-1-4419-6199-0_8
35
Chen J. Kao Y. R. Sun D. Todorova T. I. Reynolds D. Narayanagari S. R. et al (2019). Myelodysplastic syndrome progression to acute myeloid leukemia at the stem cell level. Nat. Med.25, 103–110. 10.1038/s41591-018-0267-4
36
Cheng L. Chen J. Kong Y. Tan C. Kafri R. Bjorklund M. (2021). Size-scaling promotes senescence-like changes in proteome and organelle content. bioRxiv2021, 455193. 2008.2005. 10.1101/2021.08.05.455193
37
Chistiakov D. A. Sobenin I. A. Revin V. V. Orekhov A. N. Bobryshev Y. V. (2014). Mitochondrial aging and age-related dysfunction of mitochondria. Biomed. Res. Int.2014, 238463. 10.1155/2014/238463
38
Chopra M. Bohlander S. K. (2019). The cell of origin and the leukemia stem cell in acute myeloid leukemia. Genes. Chromosom. Cancer58, 850–858. 10.1002/gcc.22805
39
Colter D. C. Class R. DiGirolamo C. M. Prockop D. J. (2000). Rapid expansion of recycling stem cells in cultures of plastic-adherent cells from human bone marrow. Proc. Natl. Acad. Sci. U. S. A.97, 3213–3218. 10.1073/pnas.070034097
40
Colter D. C. Sekiya I. Prockop D. J. (2001). Identification of a subpopulation of rapidly self-renewing and multipotential adult stem cells in colonies of human marrow stromal cells. Proc. Natl. Acad. Sci. U. S. A.98, 7841–7845. 10.1073/pnas.141221698
41
Cooper K. L. Oh S. Sung Y. Dasari R. R. Kirschner M. W. Tabin C. J. (2013). Multiple phases of chondrocyte enlargement underlie differences in skeletal proportions. Nature495, 375–378. 10.1038/nature11940
42
Correia-Melo C. Marques F. D. M. Anderson R. Hewitt G. Hewitt R. Cole J. et al (2016). Mitochondria are required for pro-ageing features of the senescent phenotype. EMBO J.35, 724–742. 10.15252/embj.201592862
43
Crozier L. Foy R. Adib R. Badonyi M. Kar A. Holt J. A. et al (2022). Cell overgrowth during G1 arrest triggers an osmotic stress response and chronic p38 activation to promote cell cycle exit. bioRxiv2022, 506843. 2009.2008. 10.1101/2022.09.08.506843
44
de Lacalle S. Iraizoz I. Ma Gonzalo L. (1991). Differential changes in cell size and number in topographic subdivisions of human basal nucleus in normal aging. Neuroscience43, 445–456. 10.1016/0306-4522(91)90307-a
45
Del Campo A. Contreras-Hernandez I. Castro-Sepulveda M. Campos C. A. Figueroa R. Tevy M. F. et al (2018). Muscle function decline and mitochondria changes in middle age precede sarcopenia in mice. Aging (Albany NY)10, 34–55. 10.18632/aging.101358
46
Delarue M. Brittingham G. P. Pfeffer S. Surovtsev I. V. Pinglay S. Kennedy K. J. et al (2018). mTORC1 controls phase separation and the biophysical properties of the cytoplasm by tuning crowding. Cell.174, 338–349. 10.1016/j.cell.2018.05.042
47
Delgado-Gonzalez J. C. de la Rosa-Prieto C. Tarruella-Hernandez D. L. Vallejo-Calcerrada N. Cebada-Sanchez S. Insausti R. et al (2020). Neuronal volume of the hippocampal regions in ageing. J. Anat.237, 301–310. 10.1111/joa.13189
48
Demidenko Z. N. Blagosklonny M. V. (2008). Growth stimulation leads to cellular senescence when the cell cycle is blocked. Cell. Cycle7, 3355–3361. 10.4161/cc.7.21.6919
49
Demidenko Z. N. Zubova S. G. Bukreeva E. I. Pospelov V. A. Pospelova T. V. Blagosklonny M. V. (2009). Rapamycin decelerates cellular senescence. Cell. Cycle8, 1888–1895. 10.4161/cc.8.12.8606
50
Denoth Lippuner A. Julou T. Barral Y. (2014). Budding yeast as a model organism to study the effects of age. FEMS Microbiol. Rev.38, 300–325. 10.1111/1574-6976.12060
51
Derks W. Bergmann O. (2020). Polyploidy in cardiomyocytes: Roadblock to heart regeneration?Circ. Res.126, 552–565. 10.1161/CIRCRESAHA.119.315408
52
Diaz F. Villena A. Gonzalez P. Requena V. Rius F. Perez De Vargas I. (1999). Stereological age-related changes in neurons of the rat dorsal lateral geniculate nucleus. Anat. Rec.255, 396–400. 10.1002/(SICI)1097-0185(19990801)255:4<396::AID-AR5>3.0.CO;2-M
53
Dubner H. N. Crowley J. J. Schilling R. F. (1978). Prognostic value of nucleoli and cell size in chronic lymphocytic leukemia. Am. J. Hematol.4, 337–341. 10.1002/ajh.2830040405
54
Dyachenko V. Rueckschloss U. Isenberg G. (2006). Aging aggravates heterogeneities in cell-size and stress-intolerance of cardiac ventricular myocytes. Exp. Gerontol.41(5), 489–96. 10.1016/j.exger.2006.03.003
55
Dykstra B. de Haan G. (2008). Hematopoietic stem cell aging and self-renewal. Cell. Tissue Res.331, 91–101. 10.1007/s00441-007-0529-9
56
Eklund J. Bradford G. E. (1977). Longeveity and lifetime body weight in mice selected for rapid growth. Nature265, 48–49. 10.1038/265048b0
57
Ellison G. M. Waring C. D. Vicinanza C. Torella D. (2012). Physiological cardiac remodelling in response to endurance exercise training: Cellular and molecular mechanisms. Heart98, 5–10. 10.1136/heartjnl-2011-300639
58
Farnier C. Krief S. BlacheM. Diot-DupuyF. Mory G. Ferre P. et al (2003). Adipocyte functions are modulated by cell size change: Potential involvement of an integrin/ERK signalling pathway. Int. J. Obes. Relat. Metab. Disord.27, 1178–1186. 10.1038/sj.ijo.0802399
59
Farnier C. Krief S. BlacheM. Diot-DupuyF. Mory G. Ferre P. et al (2002). The signaling pathway for beta1-integrin/ERKs is involved in the adaptation of adipocyte functions to cell size. Ann. N. Y. Acad. Sci.973, 594–597. 10.1111/j.1749-6632.2002.tb04706.x
60
Fernandez J. A. Suarez C. NavArro A. Diaz C. Alvarez J. C. Gonzalez del Rey C. et al (2007). Aging in the vestibular nuclear complex of the male golden hamster (Mesocricetus auratus): Anatomic and morphometric study. Histol. Histopathol.22, 855–868. 10.14670/HH-22.855
61
Ferrara-Romeo I. Martinez P. Saraswati S. Whittemore K. Grana-Castro O. Thelma Poluha L. et al (2020). The mTOR pathway is necessary for survival of mice with short telomeres. Nat. Commun.11, 1168. 10.1038/s41467-020-14962-1
62
Fingar D. C. Salama S. Tsou C. Harlow E. Blenis J. (2002). Mammalian cell size is controlled by mTOR and its downstream targets S6K1 and 4EBP1/eIF4E. Genes. Dev.16, 1472–1487. 10.1101/gad.995802
63
Flach J. Bakker S. T. Mohrin M. Conroy P. C. Pietras E. M. Reynaud D. et al (2014). Replication stress is a potent driver of functional decline in ageing haematopoietic stem cells. Nature512, 198–202. 10.1038/nature13619
64
Flurkey K. Papaconstantinou J. Harrison D. E. (2002). The Snell dwarf mutation Pit1(dw) can increase life span in mice. Mech. Ageing Dev.123, 121–130. 10.1016/s0047-6374(01)00339-6
65
Foy R. Crozier L. Pareri A. U. Park B. H. Saurin A. T. (2022). Oncogenic signals prime cancer cells for toxic cell growth during a G1 cell cycle arrest. bioRxiv2022, 506962. 2009.2008. 10.1101/2022.09.08.506962
66
Fraser R. S. Nurse P. (1978). Novel cell cycle control of RNA synthesis in yeast. Nature271, 726–730. 10.1038/271726a0
67
Frawley L. E. Orr-Weaver T. L. (2015). Polyploidy. Curr. Biol.25, R353–R358. 10.1016/j.cub.2015.03.037
68
Freeman S. H. Kandel R. Cruz L. Rozkalne A. Newell K. Frosch M. P. et al (2008). Preservation of neuronal number despite age-related cortical brain atrophy in elderly subjects without Alzheimer disease. J. Neuropathol. Exp. Neurol.67, 1205–1212. 10.1097/NEN.0b013e31818fc72f
69
Ganley A. R. Breitenbach M. Kennedy B. K. Kobayashi T. (2012). Yeast hypertrophy: Cause or consequence of aging? Reply to Bilinski et al. FEMS Yeast Res.12, 267–268. 10.1111/j.1567-1364.2012.00796.x
70
Geiger H. de Haan G. Florian M. C. (2013). The ageing haematopoietic stem cell compartment. Nat. Rev. Immunol.13, 376–389. 10.1038/nri3433
71
Ghani A. M. Krause J. R. (1986). Investigation of cell size and nuclear clefts as prognostic parameters in chronic lymphocytic leukemia. Cancer58, 2233–2238.
72
Ghosh D. Mejia Pena C. Quach N. Xuan B. Lee A. H. Dawson M. R. (2020). Senescent mesenchymal stem cells remodel extracellular matrix driving breast cancer cells to a more-invasive phenotype. J. Cell. Sci.133, jcs232470. 10.1242/jcs.232470
73
Gillooly J. F. Hein A. Damiani R. (2015). Nuclear DNA content varies with cell size across human cell types. Cold Spring Harb. Perspect. Biol.7, a019091. 10.1101/cshperspect.a019091
74
Ginzberg M. B. Chang N. D'Souza H. Patel N. Kafri R. Kirschner M. W. (2018). Cell size sensing in animal cells coordinates anabolic growth rates and cell cycle progression to maintain cell size uniformity. Elife7, e26957. 10.7554/eLife.26957
75
Ginzberg M. B. Kafri R. Kirschner M. (2015). Cell biology. On being the right (cell) size. Science348, 1245075. 10.1126/science.1245075
76
Gopalakrishnan K. Venkatesan S. Low E. S. H. Hande M. P. (2018). Effects of rapamycin on the mechanistic target of rapamycin (mTOR) pathway and telomerase in breast cancer cells. Mutat. Res. Genet. Toxicol. Environ. Mutagen.836, 103–113. 10.1016/j.mrgentox.2018.03.008
77
Guo M. Pegoraro A. F. Mao A. Zhou E. H. Arany P. R. Han Y. et al (2017). Cell volume change through water efflux impacts cell stiffness and stem cell fate. Proc. Natl. Acad. Sci. U. S. A.114, E8618–E8627. 10.1073/pnas.1705179114
78
Haug H. Eggers R. (1991). Morphometry of the human cortex cerebri and corpus striatum during aging. Neurobiol. Aging12, 336–338. discussion 352-335. 10.1016/0197-4580(91)90013-a
79
Hayflick L. Moorhead P. S. (1961). The serial cultivation of human diploid cell strains. Exp. Cell. Res.25, 585–621. 10.1016/0014-4827(61)90192-6
80
Helms S. A. Azhar G. Zuo C. Theus S. A. Bartke A. Wei J. Y. (2010). Smaller cardiac cell size and reduced extra-cellular collagen might be beneficial for hearts of Ames dwarf mice. Int. J. Biol. Sci.6, 475–490. 10.7150/ijbs.6.475
81
Herculano-Houzel S. Mota B. Lent R. (2006). Cellular scaling rules for rodent brains. Proc. Natl. Acad. Sci. U. S. A.103, 12138–12143. 10.1073/pnas.0604911103
82
Hill A. DeZern A. E. Kinoshita T. Brodsky R. A. (2017). Paroxysmal nocturnal haemoglobinuria. Nat. Rev. Dis. Prim.3, 17028. 10.1038/nrdp.2017.28
83
Ho T. T. Warr M. R. Adelman E. R. Lansinger O. M. Flach J. Verovskaya E. V. et al (2017). Autophagy maintains the metabolism and function of young and old stem cells. Nature543, 205–210. 10.1038/nature21388
84
Hoffmann J. J. Nabbe K. C. van den Broek N. M. (2015). Effect of age and gender on reference intervals of red blood cell distribution width (RDW) and mean red cell volume (MCV). Clin. Chem. Lab. Med.53, 2015–2019. 10.1515/cclm-2015-0155
85
Hor J. H. Soh E. S. Tan L. Y. Lim V. J. W. Santosa M. M. Winanto et al (2018). Cell cycle inhibitors protect motor neurons in an organoid model of Spinal Muscular Atrophy. Cell. Death Dis.9 (11), 1100. 10.1038/s41419-018-1081-0
86
Horsfall D. J. Mayne K. Ricciardelli C. Rao M. Skinner J. M Henderson D. W. et al (1994). Age-related changes in guinea pig prostatic stroma. Lab Invest.70(5), 753–63.
87
Hou Y. B. Ji K. Sun Y. T. Zhang L. N. Chen J. J. (2019). CDK4/6 inhibitor palbociclib suppresses IgE-mediated mast cell activation. J. Transl. Med.17, 276. 10.1186/s12967-019-2026-9
88
Hou Y. Dan X. Babbar M. Wei Y. Hasselbalch S. G. Croteau D. L. et al (2019). Ageing as a risk factor for neurodegenerative disease. Nat. Rev. Neurol.15, 565–581. 10.1038/s41582-019-0244-7
89
Hu C. Lin L. Zhu Y. Zhang Y. Wang S. Zhang J. et al (2021). Association between age at diagnosis of type 2 diabetes and cardiovascular diseases: A nationwide, population-based, cohort study. Front. Endocrinol.12, 717069. 10.3389/fendo.2021.717069
90
Iacono D. O'Brien R. Resnick S. M. Zonderman A. B. Pletnikova O. Rudow G. et al (2008). Neuronal hypertrophy in asymptomatic Alzheimer disease. J. Neuropathol. Exp. Neurol.67, 578–589. 10.1097/NEN.0b013e3181772794
91
Jacobs E. Rathmann W. Tonnies T. ArenDt D. MarchowezM. Veith L. et al (2020). Age at diagnosis of type 2 diabetes in Germany: A nationwide analysis based on claims data from 69 million people. Diabet. Med.37, 1723–1727. 10.1111/dme.14100
92
Johannsen D. L. Tchoukalova Y. Tam C. S. Covington J. D. Xie W. Schwarz J. M. et al (2014). Effect of 8 weeks of overfeeding on ectopic fat deposition and insulin sensitivity: Testing the "adipose tissue expandability" hypothesis. Diabetes Care37, 2789–2797. 10.2337/dc14-0761
93
Johnson S. C. Rabinovitch P. S. Kaeberlein M. (2013). mTOR is a key modulator of ageing and age-related disease. Nature493, 338–345. 10.1038/nature11861
94
Kaeberlein M. (2012). Hypertrophy and senescence factors in yeast aging. A reply to Bilinski et al. FEMS Yeast Res.12, 269–270. 10.1111/j.1567-1364.2012.00798.x
95
Kaesler S. Sobiesiak M. Kneilling M. Volz T. Kempf W. E. Lang P. A. et al (2012). Effective T-cell recall responses require the taurine transporter Taut. Eur. J. Immunol.42, 831–841. 10.1002/eji.201141690
96
Katsaros M. Paschos P. Giouleme O. (2020). Red cell distribution width as a marker of activity in inflammatory bowel disease: A narrative review. Ann. Gastroenterol.33, 348–354. 10.20524/aog.2020.0486
97
Kawada H. Ichikawa Y. Watanabe S. Nagao T. Arimori S. (1994). Flow cytometric analysis of cell-surface antigen expressions on acute myeloid leukemia cell populations according to their cell-size. Leuk. Res.18, 29–35. 10.1016/0145-2126(94)90006-x
98
Kawauchi K. Ihjima K. Yamada O. (2005). IL-2 increases human telomerase reverse transcriptase activity transcriptionally and posttranslationally through phosphatidylinositol 3'-kinase/Akt, heat shock protein 90, and mammalian target of rapamycin in transformed NK cells. J. Immunol.174, 5261–5269. 10.4049/jimmunol.174.9.5261
99
Kim K. M. Lui L. Y. Browner W. S. Cauley J. A. Ensrud K. E. Kado D. M. et al (2021). Association between variation in red cell size and multiple aging-related outcomes. J. Gerontol. A Biol. Sci. Med. Sci.76, 1288–1294. 10.1093/gerona/glaa217
100
Knaapen M. W. Vrolijk B. C. Wenink A. C. (1996). Nuclear and cellular size of myocytes in different segments of the developing rat heart. Anat. Rec.244, 118–125. 10.1002/(SICI)1097-0185(199601)244:1<118:AID-AR12>3.0.CO;2-S
101
Korolchuk V. I. Miwa S. Carroll B. von Zglinicki T. (2017). Mitochondria in cell senescence: Is mitophagy the weakest link?EBioMedicine21, 7–13. 10.1016/j.ebiom.2017.03.020
102
Koziel R. Greussing R. Maier A. B. Declercq L. Jansen-Durr P. (2011). Functional interplay between mitochondrial and proteasome activity in skin aging. J. Invest. Dermatol.131, 594–603. 10.1038/jid.2010.383
103
Kruta M. Sunshine M. J. Chua B. A. Fu Y. Chawla A. Dillingham C. H. et al (2021). Hsf1 promotes hematopoietic stem cell fitness and proteostasis in response to ex vivo culture stress and aging. Cell. Stem Cell.28, 1950–1965.e6. 10.1016/j.stem.2021.07.009
104
Kuo P. L. Lee H. Bray M. A. Geisse N. A. Huang Y. T. Adams W. J. et al (2012). Myocyte shape regulates lateral registry of sarcomeres and contractility. Am. J. Pathol.181, 2030–2037. 10.1016/j.ajpath.2012.08.045
105
Kureel S. K. Mogha P. Khadpekar A. Kumar V. Joshi R. Das S. et al (2019). Soft substrate maintains proliferative and adipogenic differentiation potential of human mesenchymal stem cells on long-term expansion by delaying senescence. Biol. Open8, bio039453. 10.1242/bio.039453
106
Kuwahara S. Kesuma Sari D. Tsukamoto Y. Tanaka S. Sasaki F. (2004). Age-related changes in growth hormone (GH)-releasing hormone and somatostatin neurons in the hypothalamus and in GH cells in the anterior pituitary of female mice. Brain Res.1025, 113–122. 10.1016/j.brainres.2004.08.012
107
Laforest S. Labrecque J. Michaud A. Cianflone K. Tchernof A. (2015). Adipocyte size as a determinant of metabolic disease and adipose tissue dysfunction. Crit. Rev. Clin. Lab. Sci.52, 301–313. 10.3109/10408363.2015.1041582
108
Lanz M. C. Zatulovskiy E. Swaffer M. P. Zhang L. Ilerten I. Zhang S. et al (2021). Increasing cell size remodels the proteome and promotes senescence. bioRxiv2021, 454227. 2007.2029. 10.1101/2021.07.29.454227
109
Lanz M. C. Zatulovskiy E. Swaffer M. P. Zhang L. Ilerten I. Zhang S. et al (2022). Increasing cell size remodels the proteome and promotes senescence. Mol. Cell.82, 3255–3269.e8. 10.1016/j.molcel.2022.07.017
110
Leal-Egana A. Letort G. Martiel J. L. Christ A. Vignaud T. Roelants C. et al (2017). The size-speed-force relationship governs migratory cell response to tumorigenic factors. Mol. Biol. Cell.28, 1612–1621. 10.1091/mbc.E16-10-0694
111
Leduc-Gaudet J. P. Picard M. St-Jean Pelletier F. Sgarioto N. Auger M. J. Vallee J. et al (2015). Mitochondrial morphology is altered in atrophied skeletal muscle of aged mice. Oncotarget6, 17923–17937. 10.18632/oncotarget.4235
112
Lee H. C. Yin P. H. Chi C. W. Wei Y. H. (2002). Increase in mitochondrial mass in human fibroblasts under oxidative stress and during replicative cell senescence. J. Biomed. Sci.9, 517–526. 10.1007/BF02254978
113
Lee S. S. Avalos Vizcarra I. Huberts D. H. Lee L. P. Heinemann M. (2012). Whole lifespan microscopic observation of budding yeast aging through a microfluidic dissection platform. Proc. Natl. Acad. Sci. U. S. A.109, 4916–4920. 10.1073/pnas.1113505109
114
Lehen'kyi V. Shapovalov G. Skryma R. Prevarskaya N. (2011). Ion channnels and transporters in cancer. 5. Ion channels in control of cancer and cell apoptosis. Am. J. Physiol. Cell. Physiol.301, C1281–C1289. 10.1152/ajpcell.00249.2011
115
Lengefeld J. Cheng C. W. Maretich P. Blair M. Hagen H. McReynolds M. R. et al (2021). Cell size is a determinant of stem cell potential during aging. Sci. Adv.7, eabk0271. 10.1126/sciadv.abk0271
116
Li F. Wang X. Capasso J. M. Gerdes A. M. (1996). Rapid transition of cardiac myocytes from hyperplasia to hypertrophy during postnatal development. J. Mol. Cell. Cardiol.28, 1737–1746. 10.1006/jmcc.1996.0163
117
Li N. Zhou H. Tang Q. (2017). Red blood cell distribution width: A novel predictive indicator for cardiovascular and cerebrovascular diseases. Dis. Markers2017, 7089493. 10.1155/2017/7089493
118
Li Q. Rycaj K. Chen X. Tang D. G. (2015). Cancer stem cells and cell size: A causal link?Semin. Cancer Biol.35, 191–199. 10.1016/j.semcancer.2015.07.002
119
Li Q. Yang X. Sreejayan N. Ren J (2007). Insulin-like growth factor I deficiency prolongs survival and antagonizes paraquat-induced cardiomyocyte dysfunction: Role of oxidative stress. Rejuvenation Res.10, 501–512. 10.1089/rej.2007.0552
120
Lieber S. C. Aubry N. Pain J. Diaz G. Kim S. J. Vatner S. F. (2004). Aging increases stiffness of cardiac myocytes measured by atomic force microscopy nanoindentation. Am. J. Physiol. Heart Circ. Physiol.287, H645–H651. 10.1152/ajpheart.00564.2003
121
Lippi G. Turcato G. Cervellin G. Sanchis-Gomar F. (2018). Red blood cell distribution width in heart failure: A narrative review. World J. Cardiol.10, 6–14. 10.4330/wjc.v10.i2.6
122
Liu F. He J. Wang H. Zhu D. Bi Y. (2020). Adipose morphology: A critical factor in regulation of human metabolic diseases and adipose tissue dysfunction. Obes. Surg.30, 5086–5100. 10.1007/s11695-020-04983-6
123
Liu Z. Screven R. Yu D. Boxer L. Myers M. J. Han J. et al (2021). Microfluidic separation of canine adipose-derived mesenchymal stromal cells. Tissue Eng. Part C Methods27, 445–461. 10.1089/ten.TEC.2021.0082
124
Lloyd A. C. (2013). The regulation of cell size. Cell.154, 1194–1205. 10.1016/j.cell.2013.08.053
125
Lonn M. Mehlig K. Bengtsson C. Lissner L. (2010). Adipocyte size predicts incidence of type 2 diabetes in women. FASEB J.24, 326–331. 10.1096/fj.09-133058
126
Lopez-Otin C. Blasco M. A. Partridge L. Serrano M. Kroemer G. (2013). The hallmarks of aging. Cell.153, 1194–1217. 10.1016/j.cell.2013.05.039
127
Lundgren M. SvenssonM. Lindmark S. RenstromF. Ruge T. Eriksson J. W. (2007). Fat cell enlargement is an independent marker of insulin resistance and 'hyperleptinaemia. Diabetologia50, 625–633. 10.1007/s00125-006-0572-1
128
Lynch B. Pageon H. Le Blay H. Brizion S. Bastien P. Bornschlogl T. et al (2022). A mechanistic view on the aging human skin through ex vivo layer-by-layer analysis of mechanics and microstructure of facial and mammary dermis. Sci. Rep.12, 849. 10.1038/s41598-022-04767-1
129
Mai S. Klinkenberg M. Auburger G. Bereiter-Hahn J. Jendrach M. (2010). Decreased expression of Drp1 and Fis1 mediates mitochondrial elongation in senescent cells and enhances resistance to oxidative stress through PINK1. J. Cell. Sci.123, 917–926. 10.1242/jcs.059246
130
Mammoto T. Torisawa Y. S. Muyleart M. Hendee K. Anugwom C. Gutterman D. et al (2019). Effects of age-dependent changes in cell size on endothelial cell proliferation and senescence through YAP1. Aging (Albany NY)11, 7051–7069. 10.18632/aging.102236
131
Manocha S. Matrai Z. Osthoff M. Carter A. Pettitt A. R. (2003). Correlation between cell size and CD38 expression in chronic lymphocytic leukaemia. Leuk. Lymphoma44, 797–800. 10.1080/1042819031000068034
132
Manohar S. Estrada M. E. Uliana F. Neurohr G. E. (2022). Cell cycle progression defects and impaired DNA damage signaling drive enlarged cells into senescence. bioRxiv2022, 506740. 2009.2008. 10.1101/2022.09.08.506740
133
Manukyan G. Mikulkova Z. Turcsanyi P. Savara J. Trajerova M. Kubova Z. et al (2021). Towards a better characterisation of leukemic cells in chronic lymphocytic leukaemia: Cell-size heterogeneity reflects their activation status and migratory abilities. Cancers (Basel)13, 4922. 10.3390/cancers13194922
134
Markowska A. Rebuffat P. Gottardo G. Mazzochi G. Nussdorfer G. G. (1994). Age-dependent changes in the function and morphology of mitochondria of rat adrenal zona fasciculata. Histol. Histopathol.9, 263–268.
135
Martinelli C. Sartori P. De Palo S. Ledda M. Pannese E. (2006). The perineuronal glial tissue of spinal ganglia. Quantitative changes in the rabbit from youth to extremely advanced age. Anat. Embryol.211, 455–463. 10.1007/s00429-006-0097-x
136
Martinelli C. Sartori P. Ledda M. Pannese E. (2006). A study of mitochondria in spinal ganglion neurons during life: Quantitative changes from youth to extremely advanced age. Tissue Cell.38, 93–98. 10.1016/j.tice.2005.12.002
137
Mathe G. Pouillart P. SterescuM. Amiel J. L. Schwarzenberg L. SchneiderM. et al (1971). Subdivision of classical varieties of acute leukemia. Correlation with prognosis and cure expectancy. Rev. Eur. Etud. Clin. Biol.16, 554–560.
138
Mathieu-Costello O. Ju Y. Trejo-Morales M. Cui L. (2005). Greater capillary-fiber interface per fiber mitochondrial volume in skeletal muscles of old rats. J. Appl. Physiol.99, 281–289. 10.1152/japplphysiol.00750.2004
139
McLaughlin T. Lamendola C. CoghlaNN. Liu T. C. Lerner K. ShermAn A. et al (2014). Subcutaneous adipose cell size and distribution: Relationship to insulin resistance and body fat. Obes. (Silver Spring)22, 673–680. 10.1002/oby.20209
140
Menezes A. C. Dixon C. Scholz A. Nicholson R. Leckenby A. Azevedo A. et al (2022). RUNX3 overexpression inhibits normal human erythroid development. Sci. Rep.12, 1243. 10.1038/s41598-022-05371-z
141
Merrill D. A. Roberts J. A. Tuszynski M. H. (2000). Conservation of neuron number and size in entorhinal cortex layers II, III, and V/VI of aged primates. J. Comp. Neurol.422, 396–401. 10.1002/1096-9861(20000703)422:3<396::aid-cne6>3.0.co;2-r
142
Melissari M. Balbi T. Gennari M. Olivetti G. (1991). L'invecchiamento del cuore: modificazioni ponderali e strutturali del ventricolo sinistro con l’età [The aging of the heart: weight and structural changes in the left ventricle with age]. G. Ital. Cardiol.21(2), 119–30.
143
Miettinen T. P. Bjorklund M. (2016). Cellular allometry of mitochondrial functionality establishes the optimal cell size. Dev. Cell.39, 370–382. 10.1016/j.devcel.2016.09.004
144
Miller K. N. Burhans M. S. Clark J. P. Howell P. R. Polewski M. A. DeMuth T. M. et al (2017). Aging and caloric restriction impact adipose tissue, adiponectin, and circulating lipids. Aging Cell.16, 497–507. 10.1111/acel.12575
145
Miller R. A. Chrisp C. Atchley W. (2000). Differential longevity in mouse stocks selected for early life growth trajectory. J. Gerontol. A Biol. Sci. Med. Sci.55, B455–B461. 10.1093/gerona/55.9.b455
146
Miller R. A. Harper J. M. Galecki A. Burke D. T. (2002). Big mice die young: Early life body weight predicts longevity in genetically heterogeneous mice. Aging Cell.1, 22–29. 10.1046/j.1474-9728.2002.00006.x
147
Mitsui Y. Schneider E. L. (1976). Increased nuclear sizes in senescent human diploid fibroblast cultures. Exp. Cell. Res.100, 147–152. 10.1016/0014-4827(76)90336-0
148
Mitsui Y. Schneider E. L. (1976). Relationship between cell replication and volume in senescent human diploid fibroblasts. Mech. Ageing Dev.5, 45–56. 10.1016/0047-6374(76)90007-5
149
Moehrle B. M. Nattamai K. Brown A. Florian M. C. Ryan M. Vogel M. et al (2015). Stem cell-specific mechanisms ensure genomic fidelity within HSCs and upon aging of HSCs. Cell. Rep.13, 2412–2424. 10.1016/j.celrep.2015.11.030
150
Morris-Hanon O. Marazita M. C. Romorini L. Isaja L. Fernandez-Espinosa D. D. Sevlever G. E. et al (2019). Palbociclib effectively halts proliferation but fails to induce senescence in patient-derived glioma stem cells. Mol. Neurobiol.56, 7810–7821. 10.1007/s12035-019-1633-z
151
Mortimer R. K. Johnston J. R. (1959). Life span of individual yeast cells. Nature183, 1751–1752. 10.1038/1831751a0
152
Mu L. Kang J. H. Olcum S. Payer K. R. Calistri N. L. Kimmerling R. J. et al (2020). Mass measurements during lymphocytic leukemia cell polyploidization decouple cell cycle- and cell size-dependent growth. Proc. Natl. Acad. Sci. U. S. A.117, 15659–15665. 10.1073/pnas.1922197117
153
Murphy S. B. Borella L. Sen L. Mauer A. (1975). Lack of correlation of lymphoblast cell size with presence of T-cell markers or with outcome in childhood acute lymphoblastic leukaemia. Br. J. Haematol.31, 95–101. 10.1111/j.1365-2141.1975.tb00836.x
154
Navarro A. Boveris A. (2004). Rat brain and liver mitochondria develop oxidative stress and lose enzymatic activities on aging. Am. J. Physiol. Regul. Integr. Comp. Physiol.287, R1244–R1249. 10.1152/ajpregu.00226.2004
155
Neurohr G. E. Terry R. L. Lengefeld J. Bonney M. Brittingham G. P. Moretto F. et al (2019). Excessive cell growth causes cytoplasm dilution and contributes to senescence. Cell.176, 1083–1097. 10.1016/j.cell.2019.01.018
156
Núñez R. Sancho-Martínez S. M. Novoa J. M. L. López-Hernández F. J. (2010). Apoptotic volume decrease as a geometric determinant for cell dismantling into apoptotic bodies. Cell. Death Differ.17, 1665–1671. 10.1038/cdd.2010.96
157
Oberheim N. A. Takano T. Han X. He W. Lin J. H. C. Wang F. et al (2009). Uniquely hominid features of adult human astrocytes. J. Neurosci.29, 3276–3287. 10.1523/JNEUROSCI.4707-08.2009
158
Oh E. S. Savonenko A. V. King J. F. Fangmark Tucker S. M. Rudow G. L. Xu G. et al (2009). Amyloid precursor protein increases cortical neuron size in transgenic mice. Neurobiol. Aging30, 1238–1244. 10.1016/j.neurobiolaging.2007.12.024
159
Oja S. Komulainen P. Penttila A. Nystedt J. Korhonen M. (2018). Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures. Stem Cell. Res. Ther.9, 6. 10.1186/s13287-017-0740-x
160
Olcay L. Ertem U. Okur H. Tuncer A. M. (1999). The importance of cell size and surface marker analysis in childhood acute myeloblastic leukemia. Leuk. Res.23, 701–707. 10.1016/s0145-2126(99)00053-3
161
Oldfield C. J. Duhamel T. A. Dhalla N. S. (2020). Mechanisms for the transition from physiological to pathological cardiac hypertrophy. Can. J. Physiol. Pharmacol.98, 74–84. 10.1139/cjpp-2019-0566
162
Oster M. W. Margileth D. A. Simon R. Leventhal B. G. (1976). Lack of prognostic value of lymphoblast size in acute lymphoblastic leukaemia. Br. J. Haematol.33, 131–135. 10.1111/j.1365-2141.1976.tb00979.x
163
Padovan-Merhar O. Nair G. P. Biaesch A. G. Mayer A. Scarfone S. Foley S. W. et al (2015). Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms. Mol. Cell.58, 339–352. 10.1016/j.molcel.2015.03.005
164
Padovani F. Mairhormann B. Falter-Braun P. Lengefeld J. Schmoller K. M. (2022). Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC. BMC Biol.20, 174. 10.1186/s12915-022-01372-6
165
Pakkenberg B. Pelvig D. Marner L. Bundgaard M. J. Gundersen H. J. G. Nyengaard J. R. et al (2003). Aging and the human neocortex. Exp. Gerontol.38, 95–99. 10.1016/s0531-5565(02)00151-1
166
Pantazopoulos N. Sinks L. F. (1974). Morphological criteria for prognostication of acute lymphoblastic leukaemia. Br. J. Haematol.27, 25–30. 10.1111/j.1365-2141.1974.tb06770.x
167
Passos J. F. Nelson G. Wang C. Richter T. Simillion C. Proctor C. J. et al (2010). Feedback between p21 and reactive oxygen production is necessary for cell senescence. Mol. Syst. Biol.6, 347. 10.1038/msb.2010.5
168
Passos J. F. Saretzki G. Ahmed S. Nelson G. Richter T. Peters H. et al (2007). Mitochondrial dysfunction accounts for the stochastic heterogeneity in telomere-dependent senescence. PLoS Biol.5, e110. 10.1371/journal.pbio.0050110
169
Peter A. K. Bjerke M. A. Leinwand L. A. (2016). Biology of the cardiac myocyte in heart disease. Mol. Biol. Cell.27, 2149–2160. 10.1091/mbc.E16-01-0038
170
Pilling L. C. Atkins J. L. Duff M. O. Beaumont R. N. Jones S. E. Tyrrell J. et al (2017). Red blood cell distribution width: Genetic evidence for aging pathways in 116, 666 volunteers. PLoS One12, e0185083. 10.1371/journal.pone.0185083
171
Plummer M. P. Finnis M. E. Phillips L. K. Kar P. Bihari S. Biradar V. et al (2016). Stress induced hyperglycemia and the subsequent risk of type 2 diabetes in survivors of critical illness. PLoS One11, e0165923. 10.1371/journal.pone.0165923
172
Popov A. Brazhe A. Denisov P. Sutyagina O. Li L. Lazareva N. et al (2021). Astrocyte dystrophy in ageing brain parallels impaired synaptic plasticity. Aging Cell.20, e13334. 10.1111/acel.13334
173
Porrello E. R. Mahmoud A. I. Simpson E. Hill J. A. Richardson J. A. Olson E. N. et al (2011). Transient regenerative potential of the neonatal mouse heart. Science331, 1078–1080. 10.1126/science.1200708
174
Posakony J. W. England J. M. Attardi G. (1977). Mitochondrial growth and division during the cell cycle in HeLa cells. J. Cell. Biol.74, 468–491. 10.1083/jcb.74.2.468
175
Pucker A. D. Jackson A. R. Morris H. J. Fischer A. J. McHugh K. M. Mutti D. O. Ciliary (2015). Muscle cell changes during guinea pig development. Invest. Ophthalmol. Vis. Sci.56(13), 7691–6. 10.1167/iovs.15-17927
176
Qi H. Chen Y. Fu X. Lin C. P. Zheng X. F. S. Liu L. F. (2008). TOR regulates cell death induced by telomere dysfunction in budding yeast. PLoS One3, e3520. 10.1371/journal.pone.0003520
177
Rafelski S. M. Viana M. P. Zhang Y. Chan Y. H. M. Thorn K. S. Yam P. et al (2012). Mitochondrial network size scaling in budding yeast. Science338, 822–824. 10.1126/science.1225720
178
Reddy A. K. Amador-Noguez D. Darlington G. J. Scholz B. A. Michael L. H. Hartley C. J. et al (2007). Cardiac function in young and old Little mice. J. Gerontol. A Biol. Sci. Med. Sci.62, 1319–1325. 10.1093/gerona/62.12.1319
179
Ren J. Brown-Borg H. M. (2002). Impaired cardiac excitation-contraction coupling in ventricular myocytes from Ames dwarf mice with IGF-I deficiency. Growth Horm. IGF Res.12, 99–105. 10.1054/ghir.2002.0267
180
Resnick S. M. Pham D. L. Kraut M. A. Zonderman A. B. Davatzikos C. (2003). Longitudinal magnetic resonance imaging studies of older adults: A shrinking brain. J. Neurosci.23, 3295–3301. 10.1523/jneurosci.23-08-03295.2003
181
Roberts R. C. (1961). The lifetime growth and reproduction of selected strains of mice. Heredity16, 369–381. 10.1038/hdy.1961.46
182
Rodgers J. L. Jones J. Bolleddu S. I. Vanthenapalli S. Rodgers L. E. Shah K. et al (2019). Cardiovascular risks associated with gender and aging. J. Cardiovasc. Dev. Dis.6, E19. 10.3390/jcdd6020019
183
Rodgers J. T. King K. Y. Brett J. O. Cromie M. J. Charville G. W. Maguire K. K. et al (2014). mTORC1 controls the adaptive transition of quiescent stem cells from G0 to G(Alert). Nature510, 393–396. 10.1038/nature13255
184
Roh D. S. Du Y. Gabriele M. L. Robinson A. R. Niedernhofer L. J. Funderburgh J. L. (2013). Age-related dystrophic changes in corneal endothelium from DNA repair-deficient mice. Aging Cell.12(6), 1122–31. 10.1111/acel.12143
185
Rosen C. J. Bouxsein M. L. (2006). Mechanisms of disease: Is osteoporosis the obesity of bone?Nat. Clin. Pract. Rheumatol.2, 35–43. 10.1038/ncprheum0070
186
Rostock C. Schrenk-Siemens K. Pohle J. Siemens J. (2018). Human vs. Mouse nociceptors - similarities and differences. Neuroscience387, 13–27. 10.1016/j.neuroscience.2017.11.047
187
Roth G. S. Livingston J. N. (1976). Reductions in glucocorticoid inhibition of glucose oxidation and presumptive glucocorticoid receptor content in rat adipocytes during aging. Endocrinology.99(3), 831–9. 10.1210/endo-99-3-831
188
Runel G. Cario M. Lopez-Ramirez N. Malbouyres M. Ruggiero F. Bernard L. et al (2020). Stiffness measurement is a biomarker of skin ageing in vivo. Exp. Dermatol.29, 1233–1237. 10.1111/exd.14195
189
Sadighi Akha A. A. (2018). Aging and the immune system: An overview. J. Immunol. Methods463, 21–26. 10.1016/j.jim.2018.08.005
190
Salvagno G. L. Sanchis-Gomar F. Picanza A. Lippi G. (2015). Red blood cell distribution width: A simple parameter with multiple clinical applications. Crit. Rev. Clin. Lab. Sci.52, 86–105. 10.3109/10408363.2014.992064
191
Sattar N. Rawshani A. Franzen S. Rawshani A. Svensson A. M. Rosengren A. et al (2019). Age at diagnosis of type 2 diabetes mellitus and associations with cardiovascular and mortality risks. Circulation139, 2228–2237. 10.1161/CIRCULATIONAHA.118.037885
192
Schmoller K. M. Skotheim J. M. (2015). The biosynthetic basis of cell size control. Trends Cell. Biol.25, 793–802. 10.1016/j.tcb.2015.10.006
193
Schmoller K. M. (2017). The phenomenology of cell size control. Curr. Opin. Cell. Biol.49, 53–58. 10.1016/j.ceb.2017.11.011
194
Schmoller K. M. Turner J. J. Koivomagi M. Skotheim J. M. (2015). Dilution of the cell cycle inhibitor Whi5 controls budding-yeast cell size. Nature526, 268–272. 10.1038/nature14908
195
Seel A. Padovani F. Finster A. Mayer M. Bureik D. Osman C. et al (2022). Regulation with cell size ensures mitochondrial DNA homeostasis during cell growth. bioRxiv, 471050. 2021.2012.2003. 10.1101/2021.12.03.471050
196
Segel M. Neumann B. Hill M. F. E. Weber I. P. Viscomi C. Zhao C. et al (2019). Niche stiffness underlies the ageing of central nervous system progenitor cells. Nature573, 130–134. 10.1038/s41586-019-1484-9
197
Shembrey C. Huntington N. D. Hollande F. (2019). Impact of tumor and immunological heterogeneity on the anti-cancer immune response. Cancers11, 1217. 10.3390/cancers11091217
198
Signer R. A. Magee J. A. Salic A. Morrison S. J. (2014). Haematopoietic stem cells require a highly regulated protein synthesis rate. Nature509, 49–54. 10.1038/nature13035
199
Simakova O. Arispe N. J. (2007). The cell-selective neurotoxicity of the Alzheimer's Abeta peptide is determined by surface phosphatidylserine and cytosolic ATP levels. Membrane binding is required for Abeta toxicity. J. Neurosci.27, 13719–13729. 10.1523/JNEUROSCI.3006-07.2007
200
Slawik M. Vidal-Puig A. J. (2006). Lipotoxicity, overnutrition and energy metabolism in aging. Ageing Res. Rev.5, 144–164. 10.1016/j.arr.2006.03.004
201
Smith J. R. Pochampally R. Perry A. Hsu S. C. Prockop D. J. (2004). Isolation of a highly clonogenic and multipotential subfraction of adult stem cells from bone marrow stroma. Stem Cells22, 823–831. 10.1634/stemcells.22-5-823
202
Sperka T. Wang J. Rudolph K. L. (2012). DNA damage checkpoints in stem cells, ageing and cancer. Nat. Rev. Mol. Cell. Biol.13, 579–590. 10.1038/nrm3420
203
Stab B. R. Martinez L. Grismaldo A. Lerma A. Gutierrez M. L. Barrera L. A. et al (2016). Mitochondrial functional changes characterization in young and senescent human adipose derived MSCs. Front. Aging Neurosci.8, 299. 10.3389/fnagi.2016.00299, 2nd et al
204
Stark A. K. Toft M. H. Pakkenberg H. Fabricius K. ErikseNN. Pelvig D. P. et al (2007). The effect of age and gender on the volume and size distribution of neocortical neurons. Neuroscience150, 121–130. 10.1016/j.neuroscience.2007.06.062
205
Stauder R. Valent P. Theurl I. (2018). Anemia at older age: Etiologies, clinical implications, and management. Blood131, 505–514. 10.1182/blood-2017-07-746446
206
Stearns-Reider K. M. D'Amore A. Beezhold K. Rothrauff B. Cavalli L. Wagner W. R. et al (2017). Aging of the skeletal muscle extracellular matrix drives a stem cell fibrogenic conversion. Aging Cell.16, 518–528. 10.1111/acel.12578
207
Stenkula K. G. Erlanson-Albertsson C. (2018). Adipose cell size: Importance in health and disease. Am. J. Physiol. Regul. Integr. Comp. Physiol.315, R284–R295. 10.1152/ajpregu.00257.2017
208
Stolen T. O. Hoydal M. A. Kemi O. J. Catalucci D. Ceci M. Aasum E. et al (2009). Interval training normalizes cardiomyocyte function, diastolic Ca2+ control, and SR Ca2+ release synchronicity in a mouse model of diabetic cardiomyopathy. Circ. Res.105, 527–536. 10.1161/CIRCRESAHA.109.199810
209
Stoll E. A. Cheung W. Mikheev A. M. Sweet I. R. Bielas J. H. Zhang J. et al (2011). Aging neural progenitor cells have decreased mitochondrial content and lower oxidative metabolism. J. Biol. Chem.286, 38592–38601. 10.1074/jbc.M111.252171
210
Strzyz P. (2022). Big cells, small potential. Nat. Rev. Mol. Cell. Biol.23, 91. 10.1038/s41580-021-00439-6
211
Sun X. M. Bowman A. Priestman M. Bertaux F. Martinez-Segura A. Tang W. et al (2020). Size-dependent increase in RNA polymerase II initiation rates mediates gene expression scaling with cell size. Curr. Biol.30, 1217–1230. 10.1016/j.cub.2020.01.053
212
Tanahashi T. Sekiguchi N. Matsuda K. Takezawa Y. Ito T. Kobayashi H. et al (2016). Cell size variations of large granular lymphocyte leukemia: Implication of a small cell subtype of granular lymphocyte leukemia with STAT3 mutations. Leuk. Res.45, 8–13. 10.1016/j.leukres.2016.04.001
213
Terry R. D. DeTeresa R. Hansen L. A. (1987). Neocortical cell counts in normal human adult aging. Ann. Neurol.21, 530–539. 10.1002/ana.410210603
214
Terzakis J. A. Santagada E. Hernandez A. Taskin M. (2005). Scanning electron microscopy of peripheral blood smears: Comparison of normal blood with some common leukemias. Ultrastruct. Pathol.29, 19–28. 10.1080/01913120490903459
215
Thulborn K. Lui E. Guntin J. Jamil S. Sun Z. Claiborne T. C. et al (2016). Quantitative sodium MRI of the human brain at 9.4 T provides assessment of tissue sodium concentration and cell volume fraction during normal aging. NMR Biomed.29, 137–143. 10.1002/nbm.3312
216
Tissot F. S. Estrach S. Boulter E. Cailleteau L. Tosello L. Seguin L. et al (2018). Dermal fibroblast SLC3A2 deficiency leads to premature aging and loss of epithelial homeostasis. J. Invest. Dermatol.138, 2511–2521. 10.1016/j.jid.2018.05.026
217
Treton J. A. Courtois Y. (1981). Evolution of the distribution, proliferation and ultraviolet repair capacity of rat lens epithelial cells as a function of maturation and aging. Mech. Ageing Dev.15, 251–267. 10.1016/0047-6374(81)90134-2
218
Ungar L. Harari Y. Toren A. Kupiec M. (2011). Tor complex 1 controls telomere length by affecting the level of Ku. Curr. Biol.21, 2115–2120. 10.1016/j.cub.2011.11.024
219
Vanzulli I. Papanikolaou M. De-La-Rocha I. C. Pieropan F. Rivera A. D. Gomez-Nicola D. et al (2020). Disruption of oligodendrocyte progenitor cells is an early sign of pathology in the triple transgenic mouse model of Alzheimer's disease. Neurobiol. Aging94, 130–139. 10.1016/j.neurobiolaging.2020.05.016
220
Verkhratsky A. Rodriguez J. J. Parpura V. (2014). Neuroglia in ageing and disease. Cell. Tissue Res.357, 493–503. 10.1007/s00441-014-1814-z
221
Virant-Klun I. Stimpfel M. (2016). Novel population of small tumour-initiating stem cells in the ovaries of women with borderline ovarian cancer. Sci. Rep.6, 34730. 10.1038/srep34730
222
Virant-Klun I. Zech N. Rozman P. Vogler A. Cvjeticanin B. Klemenc P. et al (2008). Putative stem cells with an embryonic character isolated from the ovarian surface epithelium of women with no naturally present follicles and oocytes. Differentiation.76, 843–856. 10.1111/j.1432-0436.2008.00268.x
223
Walkley C. R. Orkin S. H. (2006). Rb is dispensable for self-renewal and multilineage differentiation of adult hematopoietic stem cells. Proc. Natl. Acad. Sci. U. S. A.103, 9057–9062. 10.1073/pnas.0603389103
224
Walter D. Lier A. Geiselhart A. Thalheimer F. B. Huntscha S. Sobotta M. C. et al (2015). Exit from dormancy provokes DNA-damage-induced attrition in haematopoietic stem cells. Nature520, 549–552. 10.1038/nature14131
225
Wang M. J. Chen F. Lau J. T. Y. Hu Y. P. (2017). Hepatocyte polyploidization and its association with pathophysiological processes. Cell. Death Dis.8, e2805. 10.1038/cddis.2017.167
226
Wang M. Yang Y. Han L. Han S. Liu N. Xu F. et al (2020a). Effect of three-dimensional ECM stiffness on cancer cell migration through regulating cell volume homeostasis. Biochem. Biophys. Res. Commun.528, 459–465. 10.1016/j.bbrc.2020.05.182
227
Wang M. Yang Y. Han L. Xu F. Li F. (2020a). Cell mechanical microenvironment for cell volume regulation. J. Cell. Physiol.235, 4070–4081. 10.1002/jcp.29341
228
Wang R. H. He J. P. Su M. L. Luo J. Xu M. Du X. D. et al (2013). The orphan receptor TR3 participates in angiotensin II-induced cardiac hypertrophy by controlling mTOR signalling. EMBO Mol. Med.5, 137–148. 10.1002/emmm.201201369
229
Wang Z. Li J. Wang Y. Liu Q. (2019). Palbociclib improves cardiac dysfunction in diabetic cardiomyopathy by regulating Rb phosphorylation. Am. J. Transl. Res.11, 3481–3489.
230
Watt F. M. Green H. (1981). Involucrin synthesis is correlated with cell size in human epidermal cultures. J. Cell. Biol.90, 738–742. 10.1083/jcb.90.3.738
231
Weeks K. L. McMullen J. R. (2011). The athlete's heart vs. the failing heart: Can signaling explain the two distinct outcomes?Physiol. (Bethesda)26, 97–105. 10.1152/physiol.00043.2010
232
Weiss A. Neubauer M. C. Yerabolu D. Kojonazarov B. Schlueter B. C. Neubert L. et al (2019). Targeting cyclin-dependent kinases for the treatment of pulmonary arterial hypertension. Nat. Commun.10, 2204. 10.1038/s41467-019-10135-x
233
Weyer C. Foley J. E. Bogardus C. Tataranni P. A. Pratley R. E. (2000). Enlarged subcutaneous abdominal adipocyte size, but not obesity itself, predicts type II diabetes independent of insulin resistance. Diabetologia43, 1498–1506. 10.1007/s001250051560
234
Wilson G. A. Sava G. Vuina K. Huard C. Meneguello L. Coulombe-Huntington J. et al (2021). Active growth signalling promotes cancer cell sensitivity to the CDK7 inhibitor ICEC0942. bioRxiv2021, 459733. 2009.2010. 10.1101/2021.09.10.459733
235
Wright J. Schneider B. L. (2014). Cell growth: When less means more. Curr. Biol.24, R283–R285. 10.1016/j.cub.2014.02.044
236
Xanthopoulos J. M. Gorelick F. S. Swenson E. S. (2008). AGE-DEPENDENT polyploidization in mouse exocrine pancreas. Pancreas37, 502. 10.1097/01.MPA.0000335419.46283.0e
237
Xie K. Yang Y. Jiang H. (2018). Controlling cellular volume via mechanical and physical properties of substrate. Biophys. J.114, 675–687. 10.1016/j.bpj.2017.11.3785
238
Xie S. Skotheim J. M. (2020). A G1 sizer coordinates growth and division in the mouse epidermis. Curr. Biol.30, 916–924. 10.1016/j.cub.2019.12.062
239
Xie S. Swaffer M. Skotheim J. M. (2022). Eukaryotic cell size control and its relation to biosynthesis and senescence. Annu. Rev. Cell. Dev. Biol.38, 291–319. 10.1146/annurev-cellbio-120219-040142
240
Xie X. Hiona A. Lee A. S. Cao F. Huang M. Li Z. et al (2011). Effects of long-term culture on human embryonic stem cell aging. Stem Cells Dev.20, 127–138. 10.1089/scd.2009.0475
241
Yako T. Nakamura M. Otsu W. Nakamura S. Shimazawa M. Hara H. (2021). Mitochondria dynamics in the aged mice eye and the role in the RPE phagocytosis. Exp. Eye Res.213, 108800. 10.1016/j.exer.2021.108800
242
Yamamoto A. Saito T. Hosoya T. Kawahata K. Asano Y. Sato S. et al (2022). Therapeutic effect of cyclin-dependent kinase 4/6 inhibitor on dermal fibrosis in murine models of systemic sclerosis. Arthritis Rheumatol.74, 860–870. 10.1002/art.42042
243
Yamashita M. Iwama A. (2022). Aging and clonal behavior of hematopoietic stem cells. Int. J. Mol. Sci.23, 1948. 10.3390/ijms23041948
244
Yang J. Dungrawala H. Hua H. Manukyan A. Abraham L. Lane W. et al (2011). Cell size and growth rate are major determinants of replicative lifespan. Cell. Cycle10, 144–155. 10.4161/cc.10.1.14455
245
Yang J. Eliasson B. Smith U. Cushman S. W. Sherman A. S. (2012). The size of large adipose cells is a predictor of insulin resistance in first-degree relatives of type 2 diabetic patients. Obes. (Silver Spring)20, 932–938. 10.1038/oby.2011.371
246
Yang Y. Xie K. Jiang H. (2020). Durotaxis index of 3T3 fibroblast cells scales with stiff-to-soft membrane tension polarity. Biophys. J.119, 1427–1438. 10.1016/j.bpj.2020.07.039
247
Yin L. Yang Z. Wu Y. Denslin V. Yu C. C. Tee C. A. et al (2020). Label-free separation of mesenchymal stem cell subpopulations with distinct differentiation potencies and paracrine effects. Biomaterials240, 119881. 10.1016/j.biomaterials.2020.119881
248
Yoshida K. Itoigawa Y. Maruyama Y. Saita Y. Takazawa Y. Ikeda H. et al (2017). Application of shear wave elastography for the gastrocnemius medial head to tennis leg. Clin. Anat.30, 114–119. 10.1002/ca.22788
249
Young H. E. Duplaa C. Yost M. J. Henson N. L. Floyd J. A. Detmer K. et al (2004). Clonogenic analysis reveals reserve stem cells in postnatal mammals. II. Pluripotent epiblastic-like stem cells. Anat. Rec. A Discov. Mol. Cell. Evol. Biol.277, 178–203. 10.1002/ar.a.20000
250
Zadrag-Tecza R. Kwolek-Mirek M. Bartosz G. Bilinski T. (2009). Cell volume as a factor limiting the replicative lifespan of the yeast Saccharomyces cerevisiae. Biogerontology10, 481–488. 10.1007/s10522-008-9192-0
251
Zjablovskaja P. Florian M. C. (2019). Acute myeloid leukemia: Aging and epigenetics. Cancers (Basel)12, E103. 10.3390/cancers12010103
252
Zuba-Surma E. K. Kucia M. Abdel-Latif A. Dawn B. Hall B. Singh R. et al (2008). Morphological characterization of very small embryonic-like stem cells (VSELs) by ImageStream system analysis. J. Cell. Mol. Med.12, 292–303. 10.1111/j.1582-4934.2007.00154.x
Summary
Keywords
Cellular enlargement, hallmarks of aging, cell size physiology, aging-related diseases, stem cells
Citation
Davies DM, van den Handel K, Bharadwaj S and Lengefeld J (2022) Cellular enlargement - A new hallmark of aging?. Front. Cell Dev. Biol. 10:1036602. doi: 10.3389/fcell.2022.1036602
Received
04 September 2022
Accepted
17 October 2022
Published
10 November 2022
Volume
10 - 2022
Edited by
Jan M. Skotheim, Stanford University, United States
Reviewed by
Akshay Narkar, United States Food and Drug Administration, United States
Robert Antonius Maria De Bruin, University College London, United Kingdom
Gabriel Neurohr, ETH Zürich, Switzerland
Updates
Copyright
© 2022 Davies, van den Handel, Bharadwaj and Lengefeld.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jette Lengefeld, jette.lengefeld@helsinki.fi
This article was submitted to Cell Growth and Division, a section of the journal Frontiers in Cell and Developmental Biology
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