- Open Access
Evidence of accelerated ageing in clinical drug addiction from immune, hepatic and metabolic biomarkers
© Reece; licensee BioMed Central Ltd. 2007
- Received: 01 March 2007
- Accepted: 24 September 2007
- Published: 24 September 2007
Drug addiction is associated with significant disease and death, but its impact on the ageing process has not been considered. The recent demonstration that many of the items available in routine clinical pathology have applicability as biomarkers of the ageing process implies that routine clinical laboratory parameters would be useful as an initial investigation of this possibility.
12,093 clinical laboratory results 1995–2006 were reviewed. To make the age ranges of the medical and addicted groups comparable the age range was restricted to 15–45 years.
739 drug addicted (DA) and 5834 general medical (GM) age matched blood samples were compared. Significant elevation of immune parameters was noted in the C-reactive protein, erythrocyte sedimentation rate, total lymphocyte count, serum globulins and the globulin:albumin ratio (P < 0.01). Alanine aminotranferase, creatinine, urea, and insulin like growth factor-1 were also significantly higher (P < 0.01) in the DA group. Albumin, body mass index and dihydroepiandrosterone sulphate were unchanged and cholesterol was lower (all P < 0.05).
These data demonstrate for the first time that addiction is associated with an altered profile of common biomarkers of ageing raising the possibility that the ageing process may be altered in this group. Infective and immune processes may be centrally involved. They suggest that addiction forms an interesting model to further examine the contribution of immune suppression and hyperstimulation to the ageing process.
- Drug Addict
- Total Lymphocyte Count
- General Medical Patient
Addictive disorders are well known to be associated with a high level of physical and psychological disorders . Most chronic chemical addictions are also associated with very elevated rates of mortality  which have been estimated to be 10–70 [3, 4] times that of non-clinical populations. Addictive drugs are known to impair cell growth and division [5–7] and therefore might be presumed to impact particularly dividing cells such as stem and progenitor cell pools [8, 9]. They are also known either singly or in combination to potentiate apoptosis [10–14] thereby adding to this effect. Ageing medicine has recently emerged as a distinct scientific discipline. The cellular hypothesis of ageing suggests that the ageing phenotype of the organism is associated with cellular correlates of age related change including cell loss, reduced rates of cell renewal, and higher numbers of senescent, marginally functional, and non-replicative cells in the tissues [15, 16]. Therefore if the growth inhibitory effects of addiction occur throughout the organism, one might reasonably expect that signs of accelerated ageing may be evident. Such a putative progeroid effect might be expected to underlie the elevated rates of morbidity and mortality observed clinically amongst addicts in much the same way as they do in geriatric populations. In this connection it is relevant that a variety of changes consistent with such a pro-ageing effect  have been reported both from our own clinic and elsewhere, and relating to neuropsychiatric disorders [18–20], calcific  and degenerative arteriosclerosis, osteoporosis[23, 24], oligospermia [25, 26], hair greying  and severe dental and periodontal pathology [28, 29]. Consideration of all of the clinical expressions of this generic hypothesis of the toxicology of addiction is beyond the scope of the present investigation.
The immune system in particular is central to a consideration of ageing. The immune system of drug dependent individuals is known to be suppressed, dysfunctional and hyperstimulated [30–34], and these perturbations are the subject of on-going enquiry. Not only does the immune system itself demonstrate age related change [35, 36], but the ready access of its cells and cytokines to most parts of the body including the CNS in many inflammatory disease states, suggests that dysfunction in this system might potentially be an important mediator and contributor to putative age related processes including atherosclerotic  and neurodegenerative  disorders as well as a major source of free radicals . Some chemical addictions have also been associated with free radical generation [40, 41].
The potential implications of an improved understanding of the pathophysiology of addiction may have several clinically relevant implications. There is intense interest from the National Institutes of Ageing and others in the development of anti-ageing medicines (such as resveratrol and diaformin)  and it may be that such agents come to have a role in the treatment of the addictions. Conversely research in anti-ageing medicines has fuelled vigorous interest in various biomarkers as surrogate end points for otherwise lengthy clinical trials of putative agents . Conveniently many of the common biomarkers are readily available in clinical pathology laboratory parameters in widespread use. If the classical chemical addictions are shown to accelerate ageing, then clearly there may be a role for their antagonists (such as the opioid antagonists naltrexone and nalmefene and cannabinoid antagonists such as rimonabant) which are largely pro-mitotic, as anti-ageing therapies if a deleterious effect on cancer can be avoided. And clearly a better understanding of the mechanism by which the various chemical addictions act to induce the aged phenotype may enhance our understanding of the basic pathophysiology of the ageing process itself, including gametotoxic and developmental implications.
My clinic sees both medical patients and patients addicted (mainly to opiates) and so provides an opportunity to compare relevant states of health and disease in these two populations. The present paper is presented as an initial clinical study of this subject and is intended to stimulate further investigative interest in the possible progeroid effects of addiction based on readily available clinical information relating to infective episodes and laboratory pathology.
Patient Recruitment, Survey and Sampling
This primary care medical centre operates in inner city Brisbane and sees both general medical (GM) and drug addicted (DA) patients. Most of our work involves the treatment of opiate addicted persons, and this is undertaken predominantly with the buprenorphine/naloxone combination sublingual tablet. Blood samples were taken opportunistically on patients as part of their routine clinical care.
Normal ranges of clinical laboratory parameters
Data Analysis and Statistics
Data was entered into Excel spreadsheets. Data is listed as mean ± S.D. or S.E. as indicated. Statistical analysis was performed using the EpiInfo program obtained from Centres for Disease Control for Chi squared comparisons of paired categorical data to calculate relative risks, 95% confidence intervals and significance levels; quantitative data was analyzed using T-tests performed in Microsoft Excel; and graphs were presented using the statistical software package "Statistica" on a Dell personal computer. Clinical pathology results were made available in electronic format. DA were sorted from GM patients by the presence of a Hepatitis C test, a test which is limited almost completely to use in DA patients. No data (such as outliers) was excluded from the analysis.
All procedures and studies were consistent with good clinical practice as defined by the National Health and Medical Research Council and the Declaration of Helsinki and were approved by the approved by the Human Research Ethics Committee of the Southcity Family Medical Centre. Patients gave informed consent to participation in the study. No external source of funding was involved.
All Sample Size (Total)
Age as Mean(SD)
Sample Size <45 Years (Total)
Dose & Duration
Cigarette Duration (Yrs)
Alcohol Size (g/d)
Alcohol Duration (Yrs)
Cannabis Size (g/d)
Cannabis Duration (Yrs)
Heroin Size (g/d)
Heroin Duration (Yrs)
Morphine Size (g/d)
Morphine Duration (Yrs)
Methadone Max. Dose
Methadone Duration (Yrs)
Amphetamine Size (g/d)
Amphetamine Duration (Yrs)
Cigarette Index (Cig-Yrs)
Alcohol Index (g-Yrs)
THC Index (g-Yrs)
Heroin Index (g-Yrs)
Morphine Index (g-Yrs)
Methadone Index (mg-Yrs)
Amphetamine Index (g-Yrs)
A study of this nature is predicated on being able to reliably separate intravenous drug using (IVDU) DA from GM. Review of 100 samples from each group found a 1% and 3% error rate respectively in group assignment based on HCV status. Furthermore the HCV positivity rate in the DA group was 69%, which accords well with 70% as previously found in studying DA in our clinic, suggesting minimal contamination and dilution of the IVDU DA group.
Clinical laboratory biomarkers in addiction < 45 years of age
Age (<45 Years)
Laboratory parameter elevationsSelected results, patients <45 years
Age <45 Years
Body Mass Index >25
CRP > 6 IU/l
Globulins >35. g/dl
Albumin > 42 g/dl
Globulin/Albumin Ratio >0.9
Albumin/Globulin Ratio >1.8
Lymphocytes >2.5 × 10(9)/l
ALT > 90 IU/l
Cholesterol > 4.2 mmol/l
Creatinine > 100 mcmol/l
Urea > 5 mmol/l
Urea/Creatinine Ratio >6.5
IGF1 >30 nmol/l
DHEAS >6 noml/l
There is little relative change in the CRP, although it was shown that 52.6% of DA Vs. 37.7% of GM had elevated CRP (OR = 1.84, CI 1.30–2.60; P < 0.0005). The ESR showed an obvious rise in the <45 years comparison confirmed by a higher mean (± S.E.) 11.34 ± 1.29) vs. 8.75 ± 0.35, P = 0.05, with more elevated values (7.7% Vs. 4.1%, OR = 1.98, OR = 1.98, CI 1.00–3.87; P < 0.05). Serum globulins showed an obvious rise with age with a higher mean in DA 30.33 ± 0.19 Vs. 29.47 ± 0.05 with 14.8% Vs. 9.3% elevated (OR = 1.70 CI 1.32–2.18; P < 0.002). The albumin levels were identical in both groups, so the globulin/albumin ratio rose in DA over both the total lifespan and particularly in the <45 years group (14.8% Vs. 9.3% >6.5, OR = 1.69, CI 1.21–2.21; P < 0.002). The lymphocyte count in the GM patients showed the usual decline with age. However, this was absent from the DA group, where the lymphocyte count remained stable throughout life. Hence the mean lymphocyte count was higher in the DA 2.41 ± 0.03 Vs. 2.26 ± 0.01 × 109/l and more DA had a lymphocyte count above 2.5 × 109/l (37.3% Vs. 31.8%, OR = 1.27, CI 1.06–1.53; P < 0.01).
The body mass index was not different between the two groups (Additional File 1, Table 5). ALT is significantly higher in the DA group by all measures. The mean DA cholesterol (4.48 ± 0.04 mmol/l) is less than that in GM (4.77 ± 0.14; P < 0.0001), but as noted the albumin is unchanged between the two groups. The urea and creatinine are both higher in DA, and elevated ratios of urea to creatinine are more common in the DA group 11.0% Vs. 5.3% (OR = 2.78, CI 2.11–3.65; P < 0.0001).
These data demonstrate in HIV negative populations that addicted patients have a clinical pathological profile of immune stimulation (higher ESR, CRP, globulins, globulin:albumin ratio, lymphocyte count) in the setting of hepatic (higher ALT and lower cholesterol) and renal (higher urea, creatinine and urea:creatinine ratio) dysfunction. The body mass index and albumin were similar in the two groups suggesting nutritional adequacy in the DA group. The DHEAS showed no overall between group variation, but interesting differences in patients less than 45 years. Interestingly the IGF1 appeared better in the DA group.
The major finding of this study is that as these various parameters have been suggested as important biomarkers of the ageing process, they form together a highly suggestive pattern of findings that the ageing process in addiction might be following a different time trajectory from medical patients. They also suggest that the known immune derangements of addiction may be playing a role in the observed systemic perturbations.
There is a large literature particularly coming from the study of centenarians in Italy which posits that chronic antigenic stress exerts a strain on the immune system, uses up all the naïve T-cells and causes long term CD4 and CD8 memory cells to accumulate [44–52]. In part this is believed to occur via free radical stimulation of P16INK4A dependent apoptosis . It is fascinating to consider that all these circumstances pertain in addiction. In the absence of HIV infection chronic antigenic stimulation in addiction can originate from dental, bronchial and cutaneous foci, from chronic hepatic inflammation and viral shedding, from the use of drugs, and the endobronchial absorption and intravascular injection of particulate substances all of which are directly active on immune cells and the injection of particulate impurities including microbial organisms and antigens. Hence the situation in addiction closely parallels that in ageing, as both demonstrate chronic antigenic overload, immune stimulation, immunosuppression and signs of accelerated ageing. Hence the immune system may not only be a spectator in both the ageing process and in addiction, but a major effector of time dependent decay. Clearly these parallels require more detailed prospective investigation.
It is also interesting to speculate on the interrelationship between the immune stimulation and solid organ dysfunction documented in the pathological study. The liver in particular is known to harbor a substantial body of immune (Kupffer) cells and endothelial cells in its sinusoids, and their interaction with and response to systemic alterations may be more than passive. Both the immune and endothelial components are believed to be important in modern theories of ageing. This is particularly relevant in a context where the liver is receiving long term irritation through alcohol, intravenous injection, drug detoxification or chronic viral infection. Clearly several drug related factors must inform the use of the ALT as an uncomplicated biomarker of ageing in the context of addiction. Albumin is synthesized in the liver but was found to be identical in the two groups. Cholesterol, although not different in DA and GM, was noted to be above 4.2 mmol/l less frequently (Table 5) and to rise more rapidly with age despite a somewhat slower rise in BMI in the DA group (Additional File 1). It is conceivable then that the liver is a primary or secondary driver of other observed systemic changes as has been previously noted [54, 55].
The differences observed in the hormonal profiles are also of interest. Considerable research and community attention has surrounded DHEAS as a major adrenal androgen associated with age related changes [56, 57]. Its levels may rise with immune stimulation [58, 59]. DHEAS protects lymphocytes from apoptosis  and also LDL particles from pro-atherogenic oxidation . DHEAS is also elevated by exercise  which may be higher in these patients. There was a suggestion that under 45 years DHEAS was higher in males and lower in females than controls (Figure 3) but these did not reach significance. Larger studies would likely have more statistical power to detect such alterations.
Similarly IGF1, the mammalian homologue of the invertebrate DAF-16, is one of the main hormones implicated in insulin – insulin-like-growth-factor signalling (IIS) pathway in the biology of ageing . It was not possible to study insulin or C-protein levels as we did not have access to the fasting state in this group of outpatients. IGF1 is a key component of the longevity regulation system conserved from yeast to mammals, and has recently been implicated mechanistically in the pathogenesis of various experimental neurodegenerative disorders [64, 65]. Higher levels of IGF1 in DA in this study are therefore conceptually provocative.
Whilst this study has the virtue of relatively large numbers in a single centre, it is not possible to delineate causal pathways from a purely empirical study of this nature. Clearly further experimental and clinical work would be required to formally evaluate this hypothesis. Furthermore it is unclear whether the pharmacology of addiction itself, or some other related lifestyle factor such as poverty, homelessness, imprisonment, poor nutrition or overdose is largely responsible for the observed effects. Nevertheless the apparent uniformity of results across diverse body systems is intriguing. A further limitation of this study was the use of medical patients as controls. It would be an advantage if future funded clinical studies had detailed information of patients' drug use available for all samples to allow multivariate association studies to be performed, and formal assignment of patients' addiction status.
This work would appear to invite further clinical and laboratory based investigations of the dynamic interaction between addiction and ageing, with the hope that improved understanding of these related disorders can improve our clinical management of ageing and addicted populations, and our understanding of the role of immune suppression and hyperstimulation in the ageing process.
- Dattani MT, Brook CGD: Adolescent Health Problems. Harrison's Principles of Internal Medicine. Edited by: Braunwald E, Fauci AS, Kasper DL, Longo DL, Hauser SL, Jameson JL. 2001, McGraw-Hill Medical Publishing division. New York, Sydney, 8: 15Google Scholar
- Drug Abuse in Nine Cities. NIDA Research Monograph 29, NTIS PB 80178882. Edited by: Gottschalk LA, McGuire FL, Heiser JF, Dinovo EC, Birch H. 1979, U.S. Government Printing Office, Department of Health and Human ServicesGoogle Scholar
- Darke S, Degenhardt L, Mattick R: Mortality amongst illicit drug users: epidemiology, causes and intervention. 2007, Cambridge, Cambridge University PressGoogle Scholar
- Gronbladh L, Gunne L: Methadone-assisted rehabilitation of Swedish heroin addicts. Drug Alcohol Depend. 1989, 24: 31-7. 10.1016/0376-8716(89)90005-7.View ArticlePubMedGoogle Scholar
- Eisch AJ, Mandyam CD: Drug Dependence and Addiction II: Adult Neurogenesis and Drug Abuse. Am J Psychiatry. 2004, 161: 426-10.1176/appi.ajp.161.3.426.View ArticlePubMedGoogle Scholar
- Yamaguchi M, Suzuki T, Seki T, Namba T, Juan R, Arai H, Hori T, Asada T: Repetitive cocaine administration decreases neurogenesis in the adult rat hippocampus. Ann NY Acad Sci. 2004, 1025: 351-362. 10.1196/annals.1316.043.View ArticlePubMedGoogle Scholar
- Zagon IS, Verderame MF, McLaughlin PJ: The biology of the opioid growth factor receptor (OGFr). Brain Res Brain Res Rev. 2002, 38: 351-76. 10.1016/S0165-0173(01)00160-6.View ArticlePubMedGoogle Scholar
- Park I, Morrison SJ, Clarke MF: Bmi1, stem cells, and senescence regulation. J Clin Invest. 2004, 113: 175-179. 10.1172/JCI200420800.PubMed CentralView ArticlePubMedGoogle Scholar
- Molofsky AV, Slutsky SG, Joseph NM, He S, Pardal R, Krishnamurthy J, Sharpless NE, Morrison SJ: Increasing p16INK4a expression decreases forebrain progenitors and neurogenesis during ageing. Nature. 2006, 443: 448-52. 10.1038/nature05091.PubMed CentralView ArticlePubMedGoogle Scholar
- Mao J, Sung B, Ji R-R, Lim G: Neuronal apoptosis associated with morphine tolerance for an opioid-induced neurotoxic mechanism. J Neurosci. 2002, 22: 7650-7661.PubMedGoogle Scholar
- Maccarrone M, Lorenzon T, Bari M, Melino G, Finazzi-Agro A: Anandamide induces apoptosis in human cells via vanilloid receptors. Evidence for a protective role of cannabinoid receptors. J Biol Chem. 2000, 275: 31938-45. 10.1074/jbc.M005722200.View ArticlePubMedGoogle Scholar
- Bari M, Battista N, Fezza F, Finazzi-Agro A, Maccarrone M: Lipid Rafts control signalling of type-1 cannabinoid receptors in neuronal cells. Implications for anandamide induced apoptosis. J Biol Chem. 2005, 280: 12212-12220. 10.1074/jbc.M411642200.View ArticlePubMedGoogle Scholar
- Krasnova IN, Ladenheim B, Cadet JL: Amphetamine induces apoptosis of medium spiny striatal projection neurons via the mitochondria-dependent pathway. FASEB J. 2005, 19: 851-3.PubMedGoogle Scholar
- Li G, Xiao Y, Zhang L: Cocaine induces apoptosis in fetal rat myocardial cells through the p38 mitogen-activated protein kinase and mitochondrial/cytochrome c pathways. J Pharmacol Exp Ther. 2005, 312: 112-9. 10.1124/jpet.104.073494.View ArticlePubMedGoogle Scholar
- Campisi J: Senescent cells, tumor suppression, and organismal ageing: good citizens, bad neighbors. Cell. 2005, 120: 513-22. 10.1016/j.cell.2005.02.003.View ArticlePubMedGoogle Scholar
- Herbig U, Ferriera M, Condel L, Carey D, Sedivy JM: Cellular Senescence in Ageing Primates. Science Express. viewed 12th February 2006, http://www.sciencexpress.org/2February2006/Page1/10.1126/science.1122446
- Lombard DB, Chua KF, Mostoslavsky R, Franco S, Gostissa M, Alt FW: DNA repair, genome stability, and ageing. Cell. 2005, 120: 497-512. 10.1016/j.cell.2005.01.028.View ArticlePubMedGoogle Scholar
- Australian Government Department of Health and Ageing National Co-morbidity Initiative Viewed 26/11/06. http://www.health.gov.au/internet/wcms/publishing.nsf/content/health-pubhlth-strateg-comorbidity-index.htm#publications
- Gerstein D, Townsend TN, Lane JD, Dewar CS, Brittingham AM, Pergamit M: Substance Use and Mental Health Characteristics by employment Status. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration (SAMSHA) USA Government. 1999Google Scholar
- Callaly T, Trauer T, Munro L, Whelan G: Prevalence of psychiatric disorder in a methadone maintenance population. Aust N Z J Psychiatry. 2001, 35: 601-5.View ArticlePubMedGoogle Scholar
- Lai S, Lima JA, Lai H, Vlahov D, Celentano D, Tong W, Bartlett JG, Margolick J, Fishman EK: Human immunodeficiency virus 1 infection, cocaine, and coronary calcification. Arch Intern Med. 2005, 165: 690-5. 10.1001/archinte.165.6.690.View ArticlePubMedGoogle Scholar
- Wang M, Zhang J, Spinetti G, Jiang LQ, Monticone R, Zhao D, Cheng L, Krawczyk M, Talan M, Pintus G, Lakatta EG: Angiotensin II activates matrix metalloproteinase type II and mimics age-associated carotid arterial remodeling in young rats. Am J Pathol. 2005, 167 (5): 1429-42.PubMed CentralView ArticlePubMedGoogle Scholar
- Kim TW, Alford DP, Malabanan A, Holick MF, Samet JH: Low bone density in patients receiving methadone maintenance treatment. Drug Alcohol Depend. 2006, 85: 258-62. 10.1016/j.drugalcdep.2006.05.027.View ArticlePubMedGoogle Scholar
- Idris AI, van 't Hof RJ, Greig IR, Ridge SA, Baker D, Ross RA, Ralston SH: Regulation of bone mass, bone loss and osteoclast activity by cannabinoid receptors. Nat Med. 2005, 11 (7): 774-9. 10.1038/nm1255.PubMed CentralView ArticlePubMedGoogle Scholar
- Huang HFS, Nahas GG, Hembree WC: Effects of Marijuana inhalation on spermatogenesis of the rat. "Marijuana and Medicine". 1999, Humana Press Totowa, New Jersey, 28: PP359-366.Google Scholar
- Hembree WC, Nahas GG, Zeidenberg P, Huang HFS: Changes in Human Spermatozoa Associated with High Dose Marihuana Smoking. "Marijuana and Medicine". 1999, Humana Press Totowa, New Jersey, 29: PP367-378. Figure 8 P 377Google Scholar
- Reece AS: Hair Graying in Substance Addiction. Arch Derm. 2007, 143: 116-118. 10.1001/archderm.143.1.116.View ArticlePubMedGoogle Scholar
- Reece AS: Dentition of Addiction in Queensland: Poor Dental Status and Major Contributing Drugs. Aust Dent J. accepted 23/10/06,Google Scholar
- Osborn M, Butler T, Barnard PD: Oral health status of prison inmates–New South Wales, Australia. Aust Dent J. 2003, 48: 34-8.View ArticlePubMedGoogle Scholar
- Wang J, Charboneau R, Balasubramanian S, Barke RA, Loh HH, Roy S: The immunosuppressive effects of chronic morphine treatment are partially dependent on corticosterone and mediated by the mu-opioid receptor. J Leukoc Biol. 2002, 71: 782-90.PubMedGoogle Scholar
- McCarthy L, Wetzel M, Sliker JK, Eisenstein TK, Rogers TJ: Opioids, opioid receptors, and the immune response. Drug Alcohol Depend. 2001, 62: 111-23. 10.1016/S0376-8716(00)00181-2.View ArticlePubMedGoogle Scholar
- Suzuki S: Methadone Induces CCR5 and Promotes AIDS Virus infection. FEBS Lett. 2002, 519 (1–3): 173-177. 10.1016/S0014-5793(02)02746-1.View ArticlePubMedGoogle Scholar
- Pillai R, Nair BS, Watson RR: AIDS, drugs of abuse and the immune system: a complex immunotoxicological network. Arch Toxicol. 1991, 65: 609-17. 10.1007/BF02098025.View ArticlePubMedGoogle Scholar
- Li Y, Wang X, Tian S, Guo CJ, Douglas SD, Ho WZ: Methadone enhances human immunodeficiency virus infection of human immune cells. J Infect Dis. 185 (1): 118-22. 10.1086/338011. 2002 Jan 1Google Scholar
- Pawelec G, Koch S, Griesemann H, Rehbein A, Hahnel K, Gouttefangeas C: Immunosenescence, suppression and tumour progression. Cancer Immunol Immunother. 2006, 55: 981-6. 10.1007/s00262-005-0109-3.View ArticlePubMedGoogle Scholar
- Nasi M, Troiano L, Lugli E, Pinti M, Ferraresi R, Monterastelli E, Mussi C, Salvioli G, Franceschi C, Cossarizza A: Thymic output and functionality of the IL-7/IL-7 receptor system in centenarians: implications for the neolymphogenesis at the limit of human life. Ageing Cell. 2006, 5: 167-75. 10.1111/j.1474-9726.2006.00204.x.View ArticleGoogle Scholar
- Hansson GK: Inflammation, atherosclerosis, and coronary artery disease. N Engl J Med. 2005, 352: 1685-95. 10.1056/NEJMra043430.View ArticlePubMedGoogle Scholar
- Marin-Teva JL, Dusart I, Colin C, Gervais A, van Rooijen N, Mallat M: Microglia promote the death of developing Purkinje cells. Neuron. 2004, 41: 535-47. 10.1016/S0896-6273(04)00069-8.View ArticlePubMedGoogle Scholar
- Hussain SP, Hofseth LJ, Harris CC: Radical causes of cancer. Nat Rev Cancer. 2003, 3: 276-85. 10.1038/nrc1046.View ArticlePubMedGoogle Scholar
- Carney ST, Lloyd ML, Howlett A, Norford DC: Cannabinoid-Induced NO Production in N18TG2 neuronal cells. Abstract 97 Presented at: International Cannabinoid Research society Meeting Tampa Florida. 2005Google Scholar
- Sarafian T, Habib N, Oldham M, Lin L, Kurek L, Seeram NP, Lee RP, Tashkin DP, Roth MD: Inhaled marijuana smoke alters mitochondrial function in airway epithelial cells in vivo. Abstract 155 Presented at: International Cannabinoid Research society Meeting Tampa Florida. 2005Google Scholar
- Hadley EC, Lakatta EG, Morrison-Bogorad M, Warner HR, Hodes RJ: The future of ageing therapies. Cell. 2005, 120: 557-67. 10.1016/j.cell.2005.01.030.View ArticlePubMedGoogle Scholar
- Smucny DA, Allison DB, Ingram DK, Roth GS, Kemnitz JW, Kohama SG, Lane MA, Black A: Changes in blood chemistry and hematology variables during ageing in captive rhesus macaques (Macaca mulatta). J Med Primatol. 2001, 30: 161-173.View ArticlePubMedGoogle Scholar
- Sansoni P, Franceschi C: Lymphocyte subsets and natural killer cell activity in healthy old people and centenarians. Blood. 1993, 82: 2767-2773.PubMedGoogle Scholar
- Franceschi C, Monti D, Sansoni P, Cossarizza A: The immunology of exceptional individuals: the lesson of centenarians. Immunology today. 1995, 16: 12-16. 10.1016/0167-5699(95)80064-6.View ArticlePubMedGoogle Scholar
- Franceschi C, Bonafe M, Valensin S, Olivieri F: Inflamm-aging: an evolutionary perspective of Immunosenescence. Ann NY Acad Sci. 2000, 908: 244-254.View ArticlePubMedGoogle Scholar
- Nair M, Salvioli G, Franceschi C, Cossarizza A: Thymic output and functionality of the IL-7/IL-7 receptor system in centenarians: implications for the neolymphogenesis at the limit of human life. Aging cell. 2006, 5: 167-175. 10.1111/j.1474-9726.2006.00204.x.View ArticleGoogle Scholar
- De Martinis M, Fanceschi C, Monti D, Ginaldi L: Imflamm-aging and lifelong antigenic load as major determinants of the ageing rate and longevity. FEBS Lett. 2005, 579: 2035-2039. 10.1016/j.febslet.2005.02.055.View ArticlePubMedGoogle Scholar
- Ginaldi L, De Martinis M, Monti D, Franceschi C: The immune system in the elderly. Activation-induced and damage induced apoptosis. Immunologic Res. 2004, 30: 81-94. 10.1385/IR:30:1:081.View ArticleGoogle Scholar
- Franceschi C, Bonafe M, Valensin S: Human Immunosenescence: the prevailing of innate immunity, the failing of clonotypic immunity, and the filling of the immunological space. Vaccine. 2000, 18: 1717-1720. 10.1016/S0264-410X(99)00513-7.View ArticlePubMedGoogle Scholar
- Vasto S, Grimaldi MP, Caruso C: Inflammatory networks in ageing, age related diseases and longevity. Mech Ageing and Development. 2007, 128: 83-91. 10.1016/j.mad.2006.11.015.View ArticleGoogle Scholar
- Salvioli S, Capri M, Valensin S, Tieri P, Monti D, Ottaviani E, Franceschi C: Inflamm-aging, cytokines and aging: state of the art, new hypotheses on the role of mitochondria and new perspectives from systems biology. Curr Pharmaceutical Design. 2006, 12: 3161-3171. 10.2174/138161206777947470.View ArticleGoogle Scholar
- Bianchi T, Rufer N, Macdonald HR, Migliaccio M: The tumour suppressor p16INK4a regulates T lymphocyte survival. Oncogene. 2006, 25: 4110-4115. 10.1038/sj.onc.1209437.View ArticlePubMedGoogle Scholar
- Le Couteur DG, Fraser R, Hilmer S, Rivory LP, McLean AJ: The hepatic sinusoid in ageing and cirrhosis. Clin Pharmacokinet. 2005, 44: 187-200. 10.2165/00003088-200544020-00004.View ArticlePubMedGoogle Scholar
- Warren A, Bertolino P, Bensler V, Fraser R, McGaughan GW, Le Couteur DG: Marked changes of the hepatic sinusoid in a transgenic model of acute immune mediated hepatitis. J Hepatology. 2007, 46: 239-246. 10.1016/j.jhep.2006.08.022.View ArticleGoogle Scholar
- Fonda SJ, Bertrand R, O'Donnell A, Longcope C, McKinlay JB: Age, hormones, and cognitive functioning among middle-aged and elderly men: cross-sectional evidence from the Massachusetts Male Ageing Study. J Gerontol A Biol Sci Med Sci. 2005, 60: 385-90.View ArticlePubMedGoogle Scholar
- Leowattana W: DHEA(S): the fountain of youth. J Med Assoc Thai. 2001, 84 (Suppl 2): S605-12.PubMedGoogle Scholar
- Maes M, Mihaylova I, De Ruyter M: Decreased dehydroepiandrosterone sulfate but normal insulin-like growth factor in chronic fatigue syndrome (CFS): relevance for the inflammatory response in CFS. Neuro Endocrinol Lett. 2005, 26 (5): 487-92.PubMedGoogle Scholar
- Gelinas DS, McLaurin J: PPAR-alpha expression inversely correlates with inflammatory cytokines IL-1beta and TNF-alpha in ageing rats. Neurochem Res. 2005, 30 (11): 1369-75. 10.1007/s11064-005-8341-y.View ArticlePubMedGoogle Scholar
- Takahashi H, Nakajima A, Sekihara H: Dehydroepiandrosterone (DHEA) and its sulfate (DHEAS) inhibit the apoptosis in human peripheral blood lymphocytes. J Steroid Biochem Mol Biol. 2004, 88 (3): 261-4. 10.1016/j.jsbmb.2003.12.006.View ArticlePubMedGoogle Scholar
- Khalil A, Fortin JP, LeHoux JG, Fulop T: Age-related decrease of dehydroepiandrosterone concentrations in low density lipoproteins and its role in the susceptibility of low density lipoproteins to lipid peroxidation. J Lipid Res. 2000, 41 (10): 1552-61.PubMedGoogle Scholar
- Tissandier O, Peres G, Fiet J, Piette F: Testosterone, dehydroepiandrosterone, insulin-like growth factor 1, and insulin in sedentary and physically trained aged men. Eur J Appl Physiol. 2001, 85 (1–2): 177-84. 10.1007/s004210100420.View ArticlePubMedGoogle Scholar
- Guarente L, Picard F: Calorie Restriction – the SIR2 Connection. Cell. 2005, 120: 473-482. 10.1016/j.cell.2005.01.029.View ArticlePubMedGoogle Scholar
- Cohen E, Bieschke J, Perciavalle RM, Kelly JW, Dillin A: Opposing activities protect against age-onset proteotoxicity. Science. 2006, 313: 1604-10. 10.1126/science.1124646.View ArticlePubMedGoogle Scholar
- Morimoto RI: Stress Ageing and Neurodegenerative disease. N Engl J Med. 2006, 355: 2254-2255. 10.1056/NEJMcibr065573.View ArticlePubMedGoogle Scholar
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