Abstract
During the last 10 years, a series of exciting observations has led to a new theory of pathophysiology using insights from evolutionary biology and neuroendocrine immunology to understand the sequelae of chronic inflammatory disease. According to this theory, disease sequelae can be explained based on redirection of energy-rich fuels from storage organs to the activated immune system. These disease sequelae are highly diverse and include the following: sickness behavior, anorexia, malnutrition, muscle wasting–cachexia, cachectic obesity, insulin resistance with hyperinsulinemia, dyslipidemia, increase of adipose tissue near inflamed tissue, alterations of steroid hormone axes, elevated sympathetic tone and local sympathetic nerve fiber loss, decreased parasympathetic tone, hypertension, inflammation-related anemia, and osteopenia. Since these disease sequelae can be found in many animal models of chronic inflammatory diseases with mammals (e.g., monkeys, mice, rats, rabbits, etc.), the evolutionary time line goes back at least 70 million years. While the initial version of this theory could explain prominent sequelae of chronic inflammatory disease, it did not however address two features important in the pathogenesis of immune-mediated diseases: the time point when an acute inflammatory disease becomes chronic, and the appearance of hypertension in chronic inflammation. To address these aspects more specifically, a new version of the theory has been developed. This version defines more precisely the moment of transition from acute inflammatory disease to chronic inflammatory disease as a time in which energy stores become empty (complete energy consumption). Depending on the amount of stored energy, this time point can be calculated to be 19–43 days. Second, the revised theory addresses the mechanisms of essential hypertension since, on the basis of water loss, acute inflammatory diseases can stimulate water retention using a positively selected water retention system (identical to the energy provision system). In chronic smoldering inflammation, however, there is no increased water loss. In contrast, there is increased water generation in inflamed tissue and inflammatory cells, and the activation of the water retention system persists. This combination leads to a net increase of the systemic fluid volume, which is hypothesized to be the basis of essential hypertension (prevalence in adults 22–32%).
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Introduction
Despite the enormous progress in genetic and genomic studies, including extensive analysis of the genome of several species, as few as 5–10% of discovered gene functions are known and many more remain to be discovered. To help unravel this complexity, some investigators have developed conceptual frameworks to organize the ever increasing mass of data and to facilitate incorporation of new information. Most of us accept the idea that insights into networks are crucial to elucidate the pathogenesis of chronic diseases (e.g., ref. [1]). Indeed, the following network approaches have been successfully applied for different levels of biomedical science: (1) statistical bioinformatics (correlations of gene expression, metabolite levels, and protein concentrations without any causal relationships), (2) intracellular molecular networks as exemplified by the pathways identified in classical biochemistry [2], (3) paracrine cytokine and immune cell networks in immunological systems [3], and (4) psychoneuroendocrine immune networks that operate at higher integrative physiological levels [4].
Although evolutionary biology and medicine have strong explanatory power to understand disease- and age-related problems [5–7], until recently, these disciplines have not been significantly incorporated into the network theories. The presence of the neuroendocrine and immune systems that are instrumental in this report is documented in all mammals but also in more remote vertebrates such as the fowl, rainbow trout, or shark. Thus, the evolutionary time line of the neuroendocrine immune network that is basis of the present theory goes back at least 400 million years (distance to the suggested common ancestor).
During the last 10 years, the author has developed a framework to understand important steps in disease pathogenesis on the basis of insights from the fields of evolutionary biology relevant to the role of neuroendocrine immune energy regulation in homeostasis. The theory explains many seemingly unrelated disease sequelae in chronic inflammatory diseases [8–10]. The published concept is shortly recapitulated here (in form of a minireview), and two novel amendments to the theory are presented.
The framework of evolutionary biology and neuroendocrine immune energy regulation in pathophysiology of chronic inflammatory diseases
To meet the challenges of infection and other environmental stress, an activated immune system has an urgent need for energy-rich substrates that must be allocated from internal and external energy stores (glycogen, proteins, triglycerides, or free fatty acids) [9]. While an activated immune system requires substantial energy in a quiescent state, this requirement rises in an active phase of inflammation. Table 1 lists energy expenditure under various conditions of different systems and organs.
Since uptake of energy-rich substrates has an upper threshold of 20,000 kJ per day (the absorptive capacity in the gut) [11, 12], it is important for the organism to partition energy-rich substrates according to fine-tuned mechanisms of energy regulation. Studies in a number of systems have demonstrated that circadian rhythms of neuronal, endocrine, and immune systems can regulate energy metabolism and partition fuels to daytime and nighttime consumers [9, 13–15]. Since most aspects in a living body occur with constraints on energy availability, regulation of energy storage and provision occupies a very high position in the hierarchy of homoeostatic neuroendocrine immune control. Energy regulation operates not only in the cell but also in coordinating centers of the brain and in endocrine organs that integrate organismal function. Important questions concern the origin of these regulatory mechanisms and the extent to which they have been subject to positive selection in the context of chronic inflammation.
It has been hypothesized that genes responsible for energy regulation have been positively selected under conditions without chronic inflammation [8, 10]. Chronic diseases and chronic inflammatory diseases in particular can exert a high negative selection pressure in evolution. Chronic inflammatory diseases can lead to loss of reproduction potential because affected individuals are at strong disadvantage. Such individuals can be excluded or impaired in the competition for food; they can also have low social status in the group and limited choice or availability of sexual partners. In addition, intense, persistent inflammation can inhibit the hypothalamic–pituitary–gonadal axis, leading to impairment of fertility as demonstrated in studies on the effect of chronic inflammatory diseases on fertility despite good medical control [16–20].
In some situations, however, the presence of a chronic inflammatory disease may not exert any selective pressure despite its potential severity. Many chronic inflammatory diseases only become manifested in patients at older ages. Because of the short life expectancy in the past, our ancestors have not suffered from the chronic inflammatory diseases that we know today. Their genes have been positively selected for different aspects such as reproduction, muscular work, defense against infections, metabolism, and similar important activities. Furthermore, in the past history, there may have been no time for natural selection. This situation would occur if various chronic inflammatory diseases did not exist until 100 to 200 years ago. Indeed, there is a suggestion that rheumatoid arthritis and Crohn’s disease, for example, are relatively new diseases.
It has been hypothesized that the genes relevant to the etiology of today’s chronic inflammatory diseases have been positively selected for their effects on normal host defense as well as the host response to serious, albeit non-life-threatening, inflammatory episodes in contrast to chronic inflammatory diseases (Table 2) [8]. These issues remain under investigation. Nevertheless, despite uncertainty about their origin, many genes have been linked to an increased risk or more severe forms of chronic inflammatory diseases including polymorphisms for human leukocyte antigens (HLA) and polymorphisms for other elements of the immune system detected by genome-wide association studies. However, these genes were most probably evolutionarily conserved because they supported positive selection at younger ages. This concept was developed in the 1950s in the context of aging research and the theory was called “antagonistic pleiotropy” [7].
An example of antagonistic pleiotropy illustrates these ideas. HLA DR4 (DRB1*04) is a well-known risk factor for rheumatoid arthritis and other chronic autoimmune diseases, but HLA DR4 (DRB1*04) also has a strong negative association with dengue hemorrhagic fever [21]. HLA DR4 (DRB1*04) homozygous individuals are 12 times less likely to develop dengue hemorrhagic fever [21]. Thus, it seems likely that HLA DR4 (DRB1*04) was positively selected to overcome dengue hemorrhagic fever but not to stimulate rheumatoid arthritis and other autoimmune diseases in later life. Further examples of antagonistic pleiotropy are demonstrated in Table 3. Antagonistic pleiotropy can explain why genes positively selected at younger ages can have disease-supporting roles in later life independent of the selection process.
In summary, it seems plausible that specific genes have not been selected or conserved in evolution because of their putative role in chronic inflammatory diseases, either positive or negative. Rather, genes, signaling pathways, and networks operative in symptomatic chronic inflammatory diseases were likely adapted from normal physiology or serious, albeit non-life-threatening, inflammatory episodes; the outcomes of such transient events, for which recovery is possible, would not have blocked the gene transmission to the progeny (Table 2). The same situation is true for neuroendocrine immune regulation of energy storage and energy allocation to consumers.
On the basis of these considerations, typical disease-related sequelae that are very common in chronic inflammatory diseases have been linked to transient inflammatory episodes [9, 10]. Here, these sequelae have an important function in supporting the transiently activated immune system and tissue inflammation (Table 4). The disease sequelae noted in Table 4 have usually been considered as independent phenomena in the absence of a unifying model to explain both their prominence and their coexistence. As a common denominator, the redirection of energy-rich fuels from energy stores to the activated immune system can explain systemic disease sequelae [9]. This theory can also explain the observed disturbances of the neuroendocrine immune regulation in chronic inflammatory diseases [9].
In this conceptualization, the induction of systemic responses results from an appeal for energy-rich substrates, called the energy appeal reaction [9]. In this scenario, the energy appeal reaction has been positively selected for transient inflammatory episodes. Respective genes and networks provided a survival value if used for a short period of time (transient inflammatory process). However, prolonged operation of these adaptive programs such as in chronic inflammatory diseases of today can in itself become pathogenic. Thus, one can add the “systemic response” to the list of classical etiologic factors of chronic inflammatory diseases (Table 5) [10]. The “systemic response” in itself can be disease perpetuating.
Refinement of the existing theory
From acute to chronic inflammatory disease—where is the boundary?
An acute infectious disease can be self-limiting and involve an innate immune response of 2 to 3 days; the subsequent phase of the adaptive immune response can last approximately 3 to 4 weeks. Similarly, many transient inflammatory episodes include a healing phase that involves adaptive immune responses (Table 2). The typical germinal center reaction of affinity maturation of B cells occurs for 3 to 4 weeks from the beginning to end [22, 23]. The accompanying proliferative T cell response undergoes a similar time course [24]. The response of the adaptive immune system with a maximum of proliferation until days 12 to 14 and subsequent contraction until days 21 to 28 is surprisingly constant in various acute infectious diseases [24]. Upon generation of immunological memory, the entire process can be markedly shortened, and this was a selection advantage [24]. An important question concerns the dynamics of this response: why do the increase and decrease of the adaptive immune response not last longer?
Acute self-limiting infectious diseases can be very energy consuming although, in the presence of disease-induced sickness behavior and related anorexia (Table 4) [9, 25], intake of energy-rich substrates can be significantly inhibited. To explain these seemingly disparate observations, it can be proposed that sickness behavior represents an element of an adaptive program that has been positively selected for transient immune and inflammatory reactions to limit energy utilization for such activities as foraging and courtship behavior [8, 26, 27]. In such a situation, the immune response can not last forever because energy stores run empty.
Furthermore, sickness behavior can restrain activity and, for example, confine the affected individual to a safe place to keep away predators [8, 26, 27]. In considering energy stores available during these responses, it is important to note that storage occurs primarily in fat tissue (12 kg of triglycerides in the body of a contemporary person, 500,000 kJ), as well as in the liver (150 g glycogen, 2.500 kJ) or muscles (300 g glycogen, 5,000 kJ; 6–7 kg muscle protein, 50,000 kJ) [11, 12].
Under conditions of sickness behavior and anorexia without uptake of energy-rich substrates but an increased sickness-related metabolic rate (Tables 1 and 6), the total amount of stored energy would only last for 19 to 43 days in females and 28 to 41 days in males (Table 6). The number is relatively similar for domestic fowl which have an evolutionary distance to Homo sapiens of 300 million years (Table 6). In other words, an acute consuming infectious disease that uses all energy stores can only last until the stores are empty, say 19 to 43 days. Thus, the evolutionarily positively selected increase and decrease of an adaptive immune response must fit into this prespecified time frame. Due to the physical restrictions of energy storage under natural paleolithic conditions, an acute infectious disease may not last much longer than 3 to 6 weeks. It can be hypothesized that energy considerations can help explain the relatively constant time course of an adaptive immune response in the context of acute infection.
If an acute inflammatory response lasted longer than the time point at which energy stores were exhausted, the affected person would probably have died due to inanition and starvation, preventing transfer of genes to any offspring. If, however, an immune response lasted for a shorter period, the affected person could survive and be able to transfer favorable genes to offspring. These considerations thus suggest that the time point of total energy consumption marks the upper threshold of an acute disease period for which genes, signaling pathways, and networks can be subject to positive selection. But what happens to the survival of the individual after this physical threshold of total energy consumption?
It can be hypothesized that networks for more persistent inflammatory diseases do not exist because they have not undergone the pressure of positive selection. If a disease is progressive and longstanding (e.g., autoimmunity) and therapies are available to stop lethal emaciation (i.e., immunosuppression), a chronic phase can develop. For the chronic phase of such immune-mediated diseases, the organism would lack positively selected genes, signaling pathways, and networks to be able to stop the chronic disease in a coordinated fashion. Thus, sickness behavior and energy disturbance would remain and impair the function of the individual. It becomes a perpetuating factor (Table 5).
The framework of evolutionary biology and neuroendocrine immune energy regulation thus defines the point of transition from acute disease to chronic disease as the time point of complete energy consumption (19–43 days). In this regard, the point can represent a range in time because the consumption curve depends on stored energy reserves (Table 6).
Inflammation, energy demand, and water retention—an evolutionary link between inflammation and hypertension
Acute inflammatory episodes require abundant energy and are often accompanied by local and systemic water loss (Table 7). Local water loss is particularly important when the inflamed tissue has an exposed surface area such as the skin or to inner surfaces of the gastrointestinal, respiratory, or urogenital tract. For example, water loss through skin wounds depends on the surface area and can amount to 0.35 ml/cm2/day (area, 30 × 30 cm2 = 315 ml/day) [28]. Another example of water loss relates to insensible perspiration. Under normal conditions in adults, insensible perspiration through skin and respiratory tract can reach 0.5 ml/kg/h (example, 80 kg and 24 h = 960 ml/day) [29]. During surgical intervention, which is a model of mild acute inflammatory activation, water loss by insensible perspiration can amount to 1 ml/kg/h (example, 80 kg and 24 h = 1,820 ml/day) [29]. These numbers show that loss of water can be quite high during acute inflammatory episodes.
In addition to physical loss of water via outer and inner surfaces, many metabolic reactions that degrade storage forms of energy-rich substrates need water for hydrolysis (Fig. 1) [30–32]. For example, the breakdown of one molecule of glucose from glycogen needs two molecules of water (Fig. 1, pink area in left upper corner); triglyceride breakdown needs three molecules of water for three molecules of free fatty acids (Fig. 1, pink and yellow area on the left side); and degradation of muscle protein needs particularly many molecules of water (Fig. 1, brown area in right upper corner) [31]. If amino acids are completely degraded within the urea cycle in the liver, one molecule of water is needed for one molecule of amino acid (Fig. 1, pink area in the left upper corner).
Furthermore, the generation of the Cori cycle between the lactate-producing inflamed tissue and the glucose-producing liver [33], involving gluconeogenesis, needs five molecules of water to reactivate one molecule of lactate (Fig. 1, red lines with arrows) [31]. Finally, the operation of a proper adaptive immune response with proliferation of B cells and T cells and proliferation of innate immune cells (neutrophils, monocytes) in primary and secondary lymphoid organs needs enormous amounts of water (Fig. 1, green area in left lower corner) [31]. The water loss described above is water loss in the system (liver, muscle, fat tissue, lymphoid organs, and others). It is not local water loss in inflamed tissue because here, in contrast, water is produced.
Water is formed when glucose, amino acids, and free fatty acids undergo degradation in the Krebs cycle and during oxidative phosphorylation; these processes occur in the mitochondria of activated cells in inflamed tissue (Fig. 1, orange area). Thus, important differences exist for water loss from the system and the generation of water from locally inflamed tissue. The amount of locally formed water can be large (Fig. 1, orange area), but usually water is lost rapidly in the environment of inflamed tissue via outer and inner surfaces (Table 7).
To overcome systemic water loss during acute inflammatory episodes and events such as trauma, hemorrhage, and burns, a water retention system is activated. The key elements of this system are the sympathetic nervous system (SNS) that activates the renin–angiotensin–aldosterone pathway [34], and the hypothalamic–pituitary–adrenal (HPA) axis with ACTH, aldosterone, and cortisol. ACTH can stimulate aldosterone as well as cortisol, which also has mineralocorticoid activity [35]. It may not be a simple coincidence that the SNS and the HPA axis can redirect energy-rich substrates from energy stores to the activated immune system as well as serve as major water retention systems. In this context, it is important to recall that the acute adaptive response described by Selye in the 1940s was considered a “nonspecific” alarm reaction [36]. Today we can say that Selye’s alarm reaction was not “nonspecific” but rather had important physiologic functions as both, a highly specific energy appeal reaction (as described earlier [9, 10]) as well as a specific water retention reaction.
The SNS and the HPA axis are supported by other alarm hormones such as vasopressin (which is lipolytic and water retentive), growth hormone (glucogenic, lipolytic, and water retentive), and insulin (lipogenic and water retentive). During transient inflammatory episodes, due to sickness behavior and anorexia, lipogenic insulin most probably plays a minor role because insulin secretion activated by the presence of carbohydrates would be downregulated. Thus, while sickness behavior may have antilipogenic consequences by suppressing insulin secretion, it can also be prolipolytic through activation of the SNS and the HPA axis. It leads to redirection of stored energy to the activated immune system.
These ideas can explain other activities of physiological mediators and provide insights in findings that, for example, water retention hormones such as angiotensin II have proinflammatory activities [37]. Angiotensin II uses the important proinflammatory signaling cascade of NF-κB activation similar as TNF [38]. Inhibition of the renin–angiotensin–aldosterone system by angiotensin-converting enzyme inhibitors or angiotensin II receptor antagonists exert anti-inflammatory effects as summarized elsewhere [39]. In the setting of acute inflammatory episodes such as infectious disease, it is important that the energy appeal reaction and the water retention reaction support the proinflammatory process to eliminate the infectious agent. It can be hypothesized that the water retention hormone angiotensin II is immunomodulatory in this respect.
In conclusion, the water retention system shows important similarities to the energy provision system, with operation of the two interacting systems subject to positive selection in evolution to overcome serious, albeit non-life-threatening, transient inflammatory episodes (Table 2). This possibility is supported by the proinflammatory activity of water retention hormones. It is therefore important to consider the role of the water retention system in settings of chronic inflammation such as may occur in aging as well as rheumatic and autoimmune diseases undergoing medical treatment (after entering the chronic phase).
Both the aging process and medically treated chronic inflammatory diseases are accompanied by mild inflammation, a state that one might call low-grade smoldering chronic inflammation [40, 41]. In these settings, circulating cytokine levels can be 5 to 10 times higher than normal (e.g., IL-6 from 2 pg/ml to 10–20 pg/ml), and the overall stimulus might be strong enough to induce a mild systemic water retention and energy appeal reaction (responses shown for low IL-6 serum concentrations in ref. [42, 43]). Since no positively selected programs exist for aging [44] and chronic inflammatory diseases [8, 45], genes, signaling pathways, and networks that are operative in this setting are similar to those that determine acute episodes of inflammation (Table 2).
Under conditions of local inflammation with exposed outer and inner surfaces, circulating cytokines from inflamed tissue activate the energy appeal and water retention reaction. Since the local inflammatory process leads to water loss over local surfaces, locally formed water—by degradation of energy-rich fuels in activated inflammatory cells (Fig. 1, orange area)—can be rapidly lost via the exposed surface (Fig. 2a). It can be hypothesized that, in the presence of local and systemic water loss, the water retention system will not induce hypertension under these acute inflammatory conditions.
The situation of water retention might be very different depending on the setting and operation of different mechanisms of water loss. These mechanisms would include the following events which may be present during disease: local water loss through outer/inner surfaces (Table 7), water loss due to systemic effects such as fever (Table 7), recirculation of formed water from activated inflammatory cells; and cytokine-activated water retention and energy appeal reaction. Depending on the operation and extent of these mechanisms, systemic hypertension could result from the continuous activation of a water retention and energy appeal reaction but without the usual water loss (Fig. 2b).
Indeed, in aging and in chronic inflammatory diseases, both the SNS and the HPA axis are chronically activated [41, 46–48]. In addition, there are obvious signs of volume overload in chronic inflammatory diseases because serum levels of atrial natriuretic factor and NT-brain natriuretic factor are markedly increased in different diseases [49–52]. NT-brain natriuretic factor decreased with TNF neutralization therapy but increased under therapy with volume retention—inducing glucocorticoids [49, 51].
The revised version of the theory predicts that the operation of these mechanisms will not depend on the site of inflammation and whether it occurs in arteries, kidneys, gastrointestinal tract, joints, or at various tissues with inflammatory cells. The key feature relates to the production of cytokines of inflammatory cells, their activation of the energy appeal and water retention reaction, and the extent of water loss via inner and outer surfaces. The magnitude of these changes would determine any detrimental effect on the induction of hypertension. Since prevalence of essential hypertension in adults is 22–32%, these theoretical considerations are highly clinically relevant.
As noted above, the energy appeal reaction and water retention reaction appear to be the result of selection in evolution for their role in transient inflammatory episodes. Induction of energy appeal reaction and water retention reaction provide a survival value if used for a short period of time. However, prolonged operation of these adaptive programs such as in chronic inflammatory diseases of today can in itself become pathogenic because there is no program to counteract continuous water retention and energy appeal reaction during long-term age-related inflammation and in chronic inflammatory diseases.
Conclusions
The study of evolutionary medicine combined with new insights into energy regulation (including the role of neuroendocrine immune axes and water retention systems) can shed new light on the pathophysiology of many age-related and chronic inflammatory diseases. In the past, several notable features of aging and chronic inflammatory diseases were considered as independent phenomena in the absence of a unifying model to explain both their prominence and coexistence. Consistent with emerging data and an overarching model based on the role of evolution in selecting patterns of host response, these features can now be unified in terms of a redirection of energy-rich fuels from energy stores to the activated immune system and activation of the water retention system. This unified picture can help explain sequelae of chronic inflammatory disease in terms of a conceptual framework derived from studies of acute inflammatory diseases.
The induction of systemic responses results from an appeal for energy-rich substrates, called the energy appeal reaction, and for water retention, called the water retention reaction. The revised theory states that energy appeal and water retention reaction have been positively selected for transient inflammatory episodes but prolonged use of these adaptive programs can in itself become pathogenic. Hopefully, recognition of the importance of energy and water fluxes during both acute and chronic inflammation can provide a new perspective of disease pathogenesis and lead to better approaches for diagnosis and treatment.
References
Ramsey SA, Gold ES, Aderem A (2010) A systems biology approach to understanding atherosclerosis. EMBO Mol Med 2:79–89
Karp PD (2001) Pathway databases: a case study in computational symbolic theory. Science 293:2040–2044
Meyer-Hermann M, Figge MT, Toellner KM (2009) Germinal centres seen through the mathematical eye: B-cell models on the catwalk. Trends Immunol 30:157–164
Besedovsky HO, Del Rey A (1996) Immune-neuro-endocrine interactions. Endocr Rev 17:64–102
Nesse RM (2001) How is Darwinian medicine useful? West J Med 174:358–360
Nesse RM (2000) Is depression an adaptation? Arch Gen Psychiatry 57:14–20
Williams GC (1957) Pleiotropy, natural selection, and the evolution of senescence. Evolution 11:398–411
Straub RH, Besedovsky HO (2003) Integrated evolutionary, immunological, and neuroendocrine framework for the pathogenesis of chronic disabling inflammatory diseases. FASEB J 17:2176–2183
Straub RH, Cutolo M, Buttgereit F, Pongratz G (2010) Energy regulation and neuroendocrine-immune control in chronic inflammatory diseases. J Intern Med 267:543–560
Straub RH (2011) Concepts of evolutionary medicine and energy regulation contribute to the etiology of systemic chronic inflammatory diseases. Brain Behav Immun 25:1–5
Rolfe DF, Brown GC (1997) Cellular energy utilization and molecular origin of standard metabolic rate in mammals. Physiol Rev 77:731–758
Blaxter K (1989) Energy metabolism in animals and man. Cambridge University Press, Cambridge
Le Magnen J (1988) Lipogenesis, lipolysis and feeding rhythms. Ann Endocrinol (Paris) 49:98–104
Lange T, Dimitrov S, Fehm HL, Westermann J, Born J (2006) Shift of monocyte function toward cellular immunity during sleep. Arch Intern Med 166:1695–1700
Lange T, Dimitrov S, Bollinger T, Diekelmann S, Born J (2011) Sleep after vaccination boosts immunological memory. J Immunol 187:283–290
Ostensen M, Almberg K, Koksvik HS (2000) Sex, reproduction, and gynecological disease in young adults with a history of juvenile chronic arthritis. J Rheumatol 27:1783–1787
Silva CA et al (2010) Hormone profile in juvenile systemic lupus erythematosus with previous or current amenorrhea. Rheumatol Int 31(8):1037–1043
Villiger PM, Caliezi G, Cottin V, Forger F, Senn A, Ostensen M (2010) Effects of TNF antagonists on sperm characteristics in patients with spondyloarthritis. Ann Rheum Dis 69:1842–1844
Soares PM, Borba EF, Bonfa E, Hallak J, Correa AL, Silva CA (2007) Gonad evaluation in male systemic lupus erythematosus. Arthritis Rheum 56:2352–2361
Suehiro RM, Borba EF, Bonfa E, Okay TS, Cocuzza M, Soares PM, Silva CA (2008) Testicular Sertoli cell function in male systemic lupus erythematosus. Rheumatology (Oxford) 47:1692–1697
LaFleur C et al (2002) HLA-DR antigen frequencies in Mexican patients with dengue virus infection: HLA-DR4 as a possible genetic resistance factor for dengue hemorrhagic fever. Hum Immunol 63:1039–1044
Meyer-Hermann ME, Maini PK (2005) Cutting edge: back to “one-way” germinal centers. J Immunol 174:2489–2493
Meyer-Hermann M (2002) A mathematical model for the germinal center morphology and affinity maturation. J Theor Biol 216:273–300
Murphy KM, Travers P, Walport M (2011) Janeway’s immunobiology. Taylor & Francis, Oxford
Konsman JP, Parnet P, Dantzer R (2002) Cytokine-induced sickness behaviour: mechanisms and implications. Trends Neurosci 25:154–159
Dantzer R, Kelley KW (2007) Twenty years of research on cytokine-induced sickness behavior. Brain Behav Immun 21:153–160
Dantzer R, O'Connor JC, Freund GG, Johnson RW, Kelley KW (2008) From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci 9:46–56
Davies JW, Lamke LO, Liljedahl SO (1974) A guide to the rate of non-renal water loss from patients with burns. Br J Plast Surg 27:325–329
Jacob M, Chappell D, Hofmann-Kiefer K, Conzen P, Peter K, Rehm M (2007) Determinants of insensible fluid loss. Perspiration, protein shift and endothelial glycocalyx. Anaesthesist 56:747–758, 760–764
Berg JM, Tymoczko JL, Stryer L (2002) Biochemistry. Freeman, New York
Michal G (1999) Biochemical pathways. Spektrum Akademischer Verlag, Heidelberg
Rassow J, Hauser K, Netzker R, Deutzmann R (2008) Biochemistry. Georg Thieme, Stuttgart
Tredget EE, Yu YM (1992) The metabolic effects of thermal injury. World J Surg 16:68–79
Bader M, Ganten D (2000) Regulation of renin: new evidence from cultured cells and genetically modified mice. J Mol Med (Berl) 78:130–139
Hattangady N, Olala L, Bollag WB, Rainey WE (2011) Acute and chronic regulation of aldosterone production. Mol Cell Endocrinol. doi:10.1016/j.mce.2011.07.034
Selye H (1951) The general adaptation syndrome and the diseases of adaptation. Am J Med 10:549–555
Dorffel Y, Latsch C, Stuhlmuller B, Schreiber S, Scholze S, Burmester GR, Scholze J (1999) Preactivated peripheral blood monocytes in patients with essential hypertension. Hypertension 34:113–117
Phillips MI, Kagiyama S (2002) Angiotensin II as a pro-inflammatory mediator. Curr Opin Investig Drugs 3:569–577
Boos CJ, Lip GY (2006) Is hypertension an inflammatory process? Curr Pharm Des 12:1623–1635
Pawelec G, Akbar A, Caruso C, Solana R, Grubeck-Loebenstein B, Wikby A (2005) Human immunosenescence: is it infectious? Immunol Rev 205:257–268, 257-268
Straub RH, Cutolo M, Zietz B, Schölmerich J (2001) The process of aging changes the interplay of the immune, endocrine and nervous systems. Mech Ageing Dev 122:1591–1611
Tsigos C, Papanicolaou DA, Defensor R, Mitsiadis CS, Kyrou I, Chrousos GP (1997) Dose effects of recombinant human interleukin-6 on pituitary hormone secretion and energy expenditure. Neuroendocrinology 66:54–62
Tsigos C, Papanicolaou DA, Kyrou I, Raptis SA, Chrousos GP (1999) Dose-dependent effects of recombinant human interleukin-6 on the pituitary-testicular axis. J Interferon Cytokine Res 19:1271–1276
Kirkwood TB, Austad SN (2000) Why do we age? Nature 408:233–238
Straub RH, Del Rey A, Besedovsky HO (2007) Emerging concepts for the pathogenesis of chronic disabling inflammatory diseases: neuroendocrine-immune interactions and evolutionary biology. In: Ader R (ed) Psychoneuroimmunology. Elsevier, San Diego, pp 217–232
Dekkers JC, Geenen R, Godaert GL, Bijlsma JW, van Doornen LJ (2004) Elevated sympathetic nervous system activity in patients with recently diagnosed rheumatoid arthritis with active disease. Clin Exp Rheumatol 22:63–70
Jessop DS, Harbuz MS (2005) A defect in cortisol production in rheumatoid arthritis: why are we still looking? Rheumatology (Oxford) 44:1097–1100
Straub RH, Paimela L, Peltomaa R, Schölmerich J, Leirisalo-Repo M (2002) Inadequately low serum levels of steroid hormones in relation to IL-6 and TNF in untreated patients with early rheumatoid arthritis and reactive arthritis. Arthritis Rheum 46:654–662
Yasuda M, Yasuda D, Tomooka K, Nobunaga M (1993) Plasma concentration of human atrial natriuretic hormone in patients with connective tissue diseases. Clin Rheumatol 12:231–235
Straub RH, Hall C, Kramer BK, Elbracht R, Palitzsch KD, Lang B, Schölmerich J (1996) Atrial natriuretic factor and digoxin-like immunoreactive factor in diabetic patients: their interrelation and the influence of the autonomic nervous system. J Clin Endocrinol Metab 81:3385–3389
Peters MJ, Welsh P, McInnes IB, Wolbink G, Dijkmans BA, Sattar N, Nurmohamed MT (2010) Tumour necrosis factor alpha blockade reduces circulating N-terminal pro-brain natriuretic peptide levels in patients with active rheumatoid arthritis: results from a prospective cohort study. Ann Rheum Dis 69:1281–1285
Provan S, Angel K, Semb AG, Atar D, Kvien TK (2010) NT-proBNP predicts mortality in patients with rheumatoid arthritis: results from 10-year follow-up of the EURIDISS study. Ann Rheum Dis 69:1946–1950
Iemitsu M, Itoh M, Fujimoto T, Tashiro M, Nagatomi R, Ohmori H, Ishii K (2000) Whole-body energy mapping under physical exercise using positron emission tomography. Med Sci Sports Exerc 32:2067–2070
Calder PC (1995) Fuel utilization by cells of the immune system. Proc Nutr Soc 54:65–82
Maciver NJ, Jacobs SR, Wieman HL, Wofford JA, Coloff JL, Rathmell JC (2008) Glucose metabolism in lymphocytes is a regulated process with significant effects on immune cell function and survival. J Leukoc Biol 84:949–957
Frauwirth KA, Thompson CB (2004) Regulation of T lymphocyte metabolism. J Immunol 172:4661–4665
McKiernan SM, Hagan R, Curry M, McDonald GS, Kelly A, Nolan N, Walsh A, Hegarty J, Lawlor E, Kelleher D (2004) Distinct MHC class I and II alleles are associated with hepatitis C viral clearance, originating from a single source. Hepatology 40:108–114
Goulder PJ, Watkins DI (2008) Impact of MHC class I diversity on immune control of immunodeficiency virus replication. Nat Rev Immunol 8:619–630
Pertovaara M, Raitala A, Juonala M, Kahonen M, Lehtimaki T, Viikari JS, Raitakari OT, Hurme M (2007) Autoimmunity and atherosclerosis: functional polymorphism of PTPN22 is associated with phenotypes related to the risk of atherosclerosis. The Cardiovascular Risk in Young Finns Study. Clin Exp Immunol 147:265–269
Thio CL, Mosbruger TL, Kaslow RA, Karp CL, Strathdee SA, Vlahov D, O’Brien SJ, Astemborski J, Thomas DL (2004) Cytotoxic T-lymphocyte antigen 4 gene and recovery from hepatitis B virus infection. J Virol 78:11258–11262
Raitala A, Karjalainen J, Oja SS, Kosunen TU, Hurme M (2007) Helicobacter pylori-induced indoleamine 2,3-dioxygenase activity in vivo is regulated by TGFB1 and CTLA4 polymorphisms. Mol Immunol 44:1011–1014
Gu CC et al (2007) An investigation of genome-wide associations of hypertension with microsatellite markers in the family blood pressure program (FBPP). Hum Genet 121:577–590
Ammendola M, Bottini N, Pietropolli A, Saccucci P, Gloria-Bottini F (2008) Association between PTPN22 and endometriosis. Fertil Steril 89:993–994
Miller LE, Jüsten HP, Schölmerich J, Straub RH (2000) The loss of sympathetic nerve fibers in the synovial tissue of patients with rheumatoid arthritis is accompanied by increased norepinephrine release from synovial macrophages. FASEB J 14:2097–2107
Straub RH, Lowin T, Klatt S, Wolff C, Rauch L (2011) Increased density of sympathetic nerve fibers in metabolically activated fat tissue surrounding human synovium and mouse lymph nodes in arthritis. Arthritis Rheum 63:3234–3242
Power ML, Schulkin J (2009) The evolution of obesity. The Johns Hopkins University Press, Baltimore
Buttgereit F, Burmester GR, Brand MD (2000) Bioenergetics of immune functions: fundamental and therapeutic aspects. Immunol Today 21:192–199
Acknowledgments
I want to express my sincere appreciation to Prof. Dr. David Pisetsky, Duke University Medical Center, North Carolina, who reviewed an early version of the manuscript and provided helpful editorial comments.
Support
The author has been supported over many years by grants from the DFG (STR 511/5-1, STR 511/9-1, STR 511/10-1, STR 511/11-1, STR 511/14-1, STR 511/15-1, STR 511/16-1, STR 511/17-1, PO 801/1-1, WI 1502/2-1), DFG Research Unit (FOR696, STR 511/9-1, STR 511/20-1, STR 511/21-1, STR 511/23-1, STR 511/25-1, STR 511/26-1, CA 933/1-1), DFG SFB (SFB585 project B8), DFG Mercator (Re 287/35-1), the DAAD (A/96/13772, 323-01-sr, and 423/kcw) and BMBF (Immuno-Pain, Gerontoshield).
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Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Straub, R.H. Evolutionary medicine and chronic inflammatory state—known and new concepts in pathophysiology. J Mol Med 90, 523–534 (2012). https://doi.org/10.1007/s00109-012-0861-8
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DOI: https://doi.org/10.1007/s00109-012-0861-8