Cited by 301Adipokines, Inflammation, and Metabolic DiseasesInflammatory Biomarkers in Disease PrognosisGenetics, Aging, and Longevity in Model Organisms

The DOI matches its Crossref record; 44 of the 45 references it cites were found in a registry or an index.

Predicting death from tumour necrosis factor-alpha and interleukin-6 in 80-year-old people

Open access

BRUUNSGAARD, H, LADELUND, S, PEDERSEN, A N, SCHROLL, M, JØRGENSEN, T, PEDERSEN, B K·2003·Clinical and Experimental Immunology

DOI 10.1046/j.1365-2249.2003.02137.xPMC PMC1808682

Open this paper in CoChat — free account

Abstract

SUMMARY: Ageing is associated with low-grade inflammation and markers such as IL-6 possess prognostic value. Tumour necrosis-alpha (TNF-α) initiates the inflammatory cascade and has been linked to several age-associated disorders. It remains, however, unknown if TNF-α is associated with mortality in old populations. The aim of the present study was to investigate if serum levels of TNF-α were associated with all-cause mortality independently of interleukin (IL)-6 in a prospective study of 333 relatively healthy 80-year-old people. A Cox regression model was used to explore effects of TNF-α and IL-6 on survival in the following 6 years. A total of 133 participants died during this follow-up period. TNF-α was associated with mortality in men, but not in women, whereas low-grade elevations in IL-6 were associated strongly with mortality in both sexes. TNF-α explained only 7% of the variability in IL-6 and effects of the two cytokines were independent of each other as well as of other traditional risk factors for death [smoking, blood pressure, physical exercise, total cholesterol, co-morbidity, body mass index (BMI) and intake of anti-inflammatory drugs]. These findings indicate that at least in old populations chronic elevated levels of TNF-α and IL-6 have different biological functions that trigger age-associated pathology and cause mortality.

Integrity signals

Registry

Crossref · 10.1046/j.1365-2249.2003.02137.x

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Atherosclerosis--an inflammatory disease
Ross, R. (1999) · New England Journal of Medicine · doi:10.1056/nejm199901143400207 · Cited by 21,725
Gentleman R: R: A language for data analysis and graphics
Ihaka, R., & Gentleman, R. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474713 · Cited by 11,747
Inflamm‐aging: An Evolutionary Perspective on Immunosenescence
FRANCESCHI, C., BONAFÈ, M., VALENSIN, S., OLIVIERI, F., DE LUCA, M., OTTAVIANI, E., & DE BENEDICTIS, G. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06651.x · Cited by 5,358
C-Reactive Protein, Interleukin 6, and Risk of Developing Type 2 Diabetes Mellitus
Pradhan, A. D. (2001) · JAMA · doi:10.1001/jama.286.3.327 · Cited by 4,433
Plasma Concentration of Interleukin-6 and the Risk of Future Myocardial Infarction Among Apparently Healthy Men
Ridker, P. M., Rifai, N., Stampfer, M. J., & Hennekens, C. H. (2000) · Circulation · doi:10.1161/01.cir.101.15.1767 · Cited by 2,429
Inflammation, obesity, stress and coronary heart disease: is interleukin-6 the link?
Yudkin, J. S., Kumari, M., Humphries, S. E., & Mohamed-Ali, V. (2000) · Atherosclerosis · doi:10.1016/s0021-9150(99)00463-3 · Cited by 1,775
IL-6 is an antiinflammatory cytokine required for controlling local or systemic acute inflammatory responses.
Xing, Z., Gauldie, J., Cox, G., Baumann, H., Jordana, M., Lei, X.-F., & Achong, M. K. (1998) · Journal of Clinical Investigation · doi:10.1172/jci1368 · Cited by 1,578
Associations of elevated interleukin-6 and C-reactive protein levels with mortality in the elderly
Harris, T. B., Ferrucci, L., Tracy, R. P., Corti, M. C., Wacholder, S., Ettinger, W. H., Heimovitz, H., Cohen, H. J., & Wallace, R. (1999) · The American Journal of Medicine · doi:10.1016/s0002-9343(99)00066-2 · Cited by 1,488
Interleukin-6-deficient mice develop mature-onset obesity
Wallenius, V., Wallenius, K., Ahrén, B., Rudling, M., Carlsten, H., Dickson, S. L., Ohlsson, C., & Jansson, J.-O. (2002) · Nature Medicine · doi:10.1038/nm0102-75 · Cited by 1,213
Markers of inflammation and prediction of diabetes mellitus in adults (Atherosclerosis Risk in Communities study): a cohort study
Schmidt, M. I., Duncan, B. B., Sharrett, A. R., Lindberg, G., Savage, P. J., Offenbacher, S., Azambuja, M. I. R., Tracy, R. P., & HEISS, G. M. (1999) · The Lancet · doi:10.1016/s0140-6736(99)01046-6 · Cited by 1,080

Show all 45 references

Research works printed but not linked: 1

Richards, 1995, Human cytokines: their roles in disease and therapy

Sorted by citations

Items 201–300 of 301

Increased Basal and Alum-Induced Interleukin-6 Levels in Geriatric Patients Are Associated with Cardiovascular Morbidity
Compté, N., Boudjeltia, K. Z., Vanhaeverbeek, M., Breucker, S. D., Pepersack, T., Joel, T., Trelcat, A., & Goriely, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081911 · Cited by 8
Experimental Periodontal Disease Triggers Coronary Endothelial Dysfunction in Middle-Aged Rats: Preventive Effect of a Prebiotic β-Glucan
da Silva, G. C., Costa, E. D., Lemos, V. S., Queiroz‐Junior, C. M., & Pereira, L. J. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab066 · Cited by 8
Cytokine Expression and Production Changes in Very Old Age
McNerlan, S., Armstrong, M., Ross, O. A., & Rea, I. M. (2009) · Springer eBooks · doi:10.1007/978-1-4020-9063-9_40 · Cited by 8
Effects of Aerobic Exercise Intensity on Insulin Resistance in Patients with Type 2 Diabetes Mellitus
Ku, Y. H., Koo, B.-K., Ahn, H.-J., Jeong, J.-Y., Seok, H. G., Kim, H., Han, K. A., & Min, K. (2009) · Korean Diabetes Journal · doi:10.4093/kdj.2009.33.5.401 · Cited by 8
Green perilla leaf extract ameliorates long-term oxidative stress induced by a high-fat diet in aging mice
Edward, O. C., Thomas, S. S., Cha, K.-O., Jung, H., Han, A., & Cha, Y. (2022) · Nutrition Research and Practice · doi:10.4162/nrp.2022.16.5.549 · Cited by 10
Constitutive Activation of gp130 in T Cells Results in Senescence and Premature Aging
Rafii, P., Reusswig, F., Werner, J., Xu, H. C., Lang, P. A., Rose‐John, S., Gorreßen, S., Alter, C., Schrader, J., Herebıan, D., et al. (2023) · The Journal of Immunology · doi:10.4049/jimmunol.2200788 · Cited by 7
Tuberculosis and COVID-19 in the elderly: factors driving a higher burden of disease
Allué‐Guardia, A., Torrelles, J. B., & Sigal, A. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1250198 · Cited by 8
Uncovering the New Biology of Giant Cell Arteritis to Guide Therapeutic Strategies
Shiomi, M., Watanabe, R., Ishihara, R., Tanaka, S., Kageyama, G., & Hashimoto, M. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14186350 · Cited by 6
Improvement in Cutaneous Conditions Can Benefit Some Health Conditions in the Elderly
Yang, B., & Man, M. (2023) · Clinical Interventions in Aging · doi:10.2147/cia.s430552 · Cited by 9
Asymptomatic bacteriuria among the elderly residents of long-term care facilities in Taiwan
Chang, H., Juang, S.-J., Liang, Y., Lin, M.-H., Ho, M., Chen, C.-K., & Hwang, S. (2012) · Age and Ageing · doi:10.1093/ageing/afs066 · Cited by 6
Ameliorating role of whey syrup against ageing-related damage of myocardial muscle of Wistar Albino rats
AL-Gebaly, A. S. (2018) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2018.03.014 · Cited by 6
High Intensity Interval Training Leads to Similar Inflammatory Activation as Seen With Traditional Training in Chronic Heart Failure
Taylor, A., Ignaszewski, A., Bredin, S. S. D., Hill, J. S., Shellington, E. M., & Warburton, D. E. R. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.752531 · Cited by 6
A low carbohydrate diet high in fish oil and soy protein delays inflammation, hematopoietic stem cell depletion, and mortality in miR-146a knock-out mice
Elisia, I., Kowalski, S., Yeung, M., Wong, J., Grants, J. M., Karsan, A., & Krystal, G. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1017347 · Cited by 5
Differential effects of multiplex and uniplex affiliative relationships on biomarkers of inflammation
Vandeleest, J. J., Wooddell, L. J., Nathman, A. C., Beisner, B. A., & McCowan, B. (2025) · PeerJ · doi:10.7717/peerj.19113 · Cited by 6
An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients
Martinez, G. S., Garduno, A., Mahmud-Al-Rafat, A., Ostadgavahi, A. T., Avery, A., Silva, S. D. Á. E., Cusack, R. A. F., Cameron, C., Cameron, M. J., Martín‐Loeches, I., et al. (2022) · PeerJ · doi:10.7717/peerj.14487 · Cited by 5
Phenotypic and Functional Changes of Circulating Monocytes in Elderly
Ginaldi, L., & Martinis, M. D. (2009) · Springer eBooks · doi:10.1007/978-1-4020-9063-9_26 · Cited by 5
Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios alone or combined with prostate-specific antigen for the diagnosis of prostate cancer and clinically significant prostate cancer
Nepal, S. P., Nakasato, T., Fukagai, T., Ogawa, Y., Nakagami, Y., Shichijo, T., Morita, J., Maeda, Y., Oshinomi, K., Unoki, T., et al. (2022) · Asian journal of urology · doi:10.1016/j.ajur.2022.02.007 · Cited by 4
Important gene–gene interaction of TNF-α and VDR on osteoporosis in community-dwelling elders
Liao, L.-N., Li, C.-I., Wu, F.-Y., Yang, C., Lin, C., Liu, C.-S., Lin, W., Li, T., & Lin, C. (2019) · PLoS ONE · doi:10.1371/journal.pone.0226973 · Cited by 4
Sportmedizinische Grundlagen: Immunologische Beanspruchung durch körperliche Belastung
Puta, C., & Gabriel, H. H. W. (2021) · Springer eBooks · doi:10.1007/978-3-662-53386-4_20-1 · Cited by 3
Porphyromonas gingivalis enhances the senescence-induced increase of 5-alpha reductase in gingival fibroblasts
Karasu, Y. Ö., Orbak, R., Kaşalı, K., Berker, E., & Kantarcı, A. (2023) · Clinical Oral Investigations · doi:10.1007/s00784-023-05211-y · Cited by 3
Mechanism of Biological Aging-A Review
Namita, Mondal, M., & Bandhu, B. (2021) · International Journal of Physiology · doi:10.37506/ijop.v9i1.2607 · Cited by 3
Effect of Moderate-Intensity Endurance Exercise on Inflammatory Cytokines in Leukocytes of Dogs
Lee, H. S., Oh, H. J., Ra, K., & Kim, J.-H. (2021) · Applied Sciences · doi:10.3390/app12010215 · Cited by 4
An Insight into Platelets at Older Age: Cellular and Clinical Perspectives
Rojas-Sánchez, G., & Davizon‐Castillo, P. (2023) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-3-031-21410-3_13 · Cited by 3
Diabetes and Aging
Musi, N., & Bartke, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-23246-1_12 · Cited by 5
Current status and future prospects in the search for protein biomarkers of immunosenescence
Wilson, S., & Mazzatti, D. J. (2008) · Expert Review of Proteomics · doi:10.1586/14789450.5.4.561 · Cited by 3
Longitudinal immune profile reveals reduced function of pro-inflammatory monocytes with age following kidney transplantation
Désy, O., Vallin, P., Béland, S., Bouchard-Boivin, F., Gama, A. P., & Serres, S. A. D. (2020) · American Journal of Transplantation · doi:10.1111/ajt.16249 · Cited by 2
Study of pathological processes of meibomian gland dysfunction by in vitro culture airlifting conditions
Zhang, W., Hu, S., Ke, H.-Q., Bao, Z., Liu, H., & Hu, Z. (2023) · Journal of Histotechnology · doi:10.1080/01478885.2023.2199370 · Cited by 2
Evaluating Monocyte-to-high-density Lipoprotein Ratio Across Age and Gender in Healthy Individuals
Sırakaya, H. A. (2023) · Bagcilar Medical Bulletin · doi:10.4274/bmb.galenos.2023.2023-12-109 · Cited by 2
Effects of Aging on Secreted Adipocytokines in Visceral Fat of Female C3H/HeJ Mice Consuming a Long-Term High-Fat Diet
Mubtasim, N., Barr, B., Boren, C., & Gollahon, L. (2024) · Dietetics · doi:10.3390/dietetics3020016 · Cited by 1
Innate Immunosenescence and Its Impact on Health in Old Age
Tariq, M. A., Hazeldine, J., & Lord, J. M. (2016) · Springer eBooks · doi:10.1007/978-3-319-43365-3_1 · Cited by 2
Phenotypic and Functional Changes of Circulating Monocytes in Elderly
Ginaldi, L., & Martinis, M. D. (2019) · Springer eBooks · doi:10.1007/978-3-319-99375-1_26 · Cited by 2
Chronic Bedridden Condition Is Reflected by Substantial Changes in Plasma Inflammatory Profile
Magliozzi, R., Pedrinolla, A., Rossi, S., Stabile, A. M., Danese, E., Lippi, G., Schena, F. F., Calabrese, M., & Venturelli, M. (2022) · Biomolecules · doi:10.3390/biom12121867 · Cited by 2
INTERLEUKIN-6 – MARKER OF SUBCLINICAL INFLAMMATION IN VERY ELDERLY PATIENTS AND CENTENARIANS WITH CORONARY ARTERY DISEASE
DVORETSKI, L. I., Викторовна, Т. С., MАMCHICH, D. S., Алексеевна, Е. Т., Игоревна, Т. О., Romanova, M. A., Николаевна, В. О., Игоревич, Б. Л., VASILIEVA, Y. Y., LYTKINA, K. A., et al. (2023) · The Bulletin of Contemporary Clinical Medicine · doi:10.20969/vskm.2023.16(4).7-15 · Cited by 2
Exploring the transformative effects of calorie restriction on the lacrimal gland in adult mice
Mauduit, O., Kumar, P., Scholand, K. K., Aksan, E., Schaefer, L., Abu-Romman, A. A., Delcroix, V., Yu, Z., Sindikubwabo, A. I., Korstanje, R., et al. (2025) · GeroScience · doi:10.1007/s11357-025-01748-w · Cited by 1
The perioperative management of geriatric patients in transplantation surgery—clinical, immunological, and translational considerations
Knoedler, L., Boroumand, S., Hinze, C. A., Knoedler, S. A., Lellouch, A. G., Maheta, B. J., Iske, J., & Panayi, A. C. (2025) · Frontiers in Transplantation · doi:10.3389/frtra.2025.1566466 · Cited by 1
Secretome Profiling of Young Multipotent Stem Cells Reveals Angiogenic and Immunomodulatory Mechanisms Supporting Aged Neuromuscular Health
Thompson, S. D., Rugel, C. L., Haller, M. R., Curtin, J. L., Dayanidhi, S., & Lavasani, M. (2026) · Aging Cell · doi:10.1111/acel.70408 · Cited by 1
Considering the Inclusion of Metabolic and Cardiovascular Markers in the Panel Study of Income Dynamics
Goldman, N., & Dowd, J. B. (2009) · Biodemography and Social Biology · doi:10.1080/19485560903382437 · Cited by 1
Interleukin-6 in Very Elderly Patients with Coronary Artery Disease
Викторовна, Т. С., Алексеевна, Е. Т., Николаевна, В. О., & DVORETSKI, L. I. (2020) · SN Comprehensive Clinical Medicine · doi:10.1007/s42399-020-00473-z · Cited by 1
Cytokine Expression and Production Changes in Very Old Age
McNerlan, S., Ross, O. A., & Rea, I. M. (2017) · Springer eBooks · doi:10.1007/978-3-319-64597-1_40-1 · Cited by 1
Cytokine Expression and Production Changes in Very Old Age
McNerlan, S., Ross, O. A., & Rea, I. M. (2019) · Springer eBooks · doi:10.1007/978-3-319-99375-1_40 · Cited by 1
Phenotypic and Functional Changes of Circulating Monocytes in Elderly
Ginaldi, L., & Martinis, M. D. (2018) · Springer eBooks · doi:10.1007/978-3-319-64597-1_26-1 · Cited by 1
PECULIARITIES OF BLOOD CELL COMPOSITION DEPENDING ON THE SEQUENCE OF MANIFESTATION OF A NUMBER OF DISEASES
Сагинбаев, У. Р., Рукавишникова, С. А., Артыкович, А. Т., Kovalenko, O., Nichik, E., & Shostak, E. (2024) · Vrach · doi:10.29296/25877305-2024-08-15 · Cited by 1
Nuclear Apoptosis and Sarcopenia
Alway, S. E., & Siu, P. M. (2010) · Springer eBooks · doi:10.1007/978-90-481-9713-2_9 · Cited by 2
Valeur pronostique à 2 ans de l’interleukine-6 dans une population de sujets âgés fragiles
Trivalle, C., Maurel, S., Taillandier, J., Rudant, E., & Bonhomme‐Faivre, L. (2009) · Springer eBooks · doi:10.1007/978-2-287-93911-2_4 · Cited by 1
Cytokines in the Elderly
Adamis, D. (2011) · Science Publishers eBooks · doi:10.1201/b11037-9 · Cited by 1
Serum biomarkers in uncontrolled no heart-beating donors may identify kidneys that will never work after transplantation
López-Farré, A. J., Santos-Sancho, J. M., Modrego, J., Segura, A., Zamorano‐León, J. J., Martín-Rodriguez, L., Sánchez-Fructuoso, A. I., Rodríguez‐Sierra, P., Prados, F., Rodríguez, A. A. M., et al. (2015) · Journal of Nephrology · doi:10.1007/s40620-015-0203-3 · Cited by 1
Exercise, epigenetics, and aging
Chilton, W., Maier, M. C., Akinnibosun, O. A., O’Brien, B. J., & Charchar, F. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820682-9.00002-5 · Cited by 1
Biomarcadores en paciente frágil: una revisión exploratoria
Barbosa, F. R., Londoño, F. G., Ospina-Gómez, S., González, J. S. S., & Bastidas, A. (2022) · Gaceta Médica de Caracas · doi:10.47307/gmc.2022.130.1.14 · Cited by 1
Pretransplant serum levels of endothelial cell activation markers are associated with graft loss and mortality after kidney transplantation
Lund, K. P., Eriksson, F., Pedersen, B. K., Sørensen, S. S., & Brüünsgaard, H. (2022) · Scandinavian Journal of Immunology · doi:10.1111/sji.13225 · Cited by 1
Self-citation
Mecanismos associados ao desenvolvimento das complicações cardiometabólicas em SHR submetidos à sobrecarga de frutose: papel do treinamento físico aeróbio
Bernardes, N. (2016) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2016.tde-04082016-154155 · Cited by 1
Tumor Necrosis Factor-Alpha (TNF-Alpha)
Rohleder, N. (2020) · Springer eBooks · doi:10.1007/978-3-030-39903-0_72 · Cited by 1
Alterações na produção de TNF-a e IL-10 no músculo esquelético de ratos com insuficiência cardíaca secundária a infarto do miocárdio: possível efeito antiinflamatório do treinamento aeróbio moderado.
Júnior, M. L. B. (2007) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.42.2007.tde-18022008-091327
Efecto del entrenamiento de vibraciones sobre diversos parámetros funcionales y fisiológicos en ancianos
Montero, C. C. (2011) · Buleria (Universidad de León) · doi:10.18002/10612/1619
The role of immune inhibitory receptors in age-associatedimmune decline
Macaulay, R. (2011) · UCL Discovery (University College London)
Mechanisms underlying innate immunesenescence
Hazeldine, J. (2013) · University of Birmingham Institutional Research Archive (University of Birmingham)
SELDI Proteomics Approach to Identify Proteins Associated with T-Cell Clone Senescence
Mazzatti, D. J., Longdin, R., Pawelec, G., Powell, J. R., & Forsey, R. J. (2008) · Springer eBooks · doi:10.1007/978-0-387-76842-7_15
THE ACUTE EFFECTS OF TWO DIFFERENT TRAINING MODELS ON MARKERS OF INFLAMMATORY ACTIVATION AND SKELETAL MUSCLE INJURY IN PATIENTS WITH CHRONIC HEART FAILURE: 11:00 AM
Taylor, A., Ignaszewski, A., Macintyre, D. L., Mckenzie, D., Hill, J., & Warburton, D. (2008) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/01.hcr.0000336150.09687.c9
Predicting Mortality from Standard and Nontraditional BiomarkersPreprint
Goldman, N., Turra, C. M., Glei, D. A., Seplaki, C. L., Lin, Y., & Weinstein, M. (2006) · RePEc: Research Papers in Economics
The Immune System in the Oldest-Old Clinical and Immunological Studies in the NONA Immune Cohort
Nilsson, B. (2010)
Régulation de protéine C-réactive vasculaire dans le diabète de type 2
Mugabo, Y. (2010) · doi:10.71781/27620
Innate Immune Responses in the Geriatric Population
Compt, N., & Goriely, S. (2012) · InTech eBooks · doi:10.5772/37878
Allostatic Load in Relation to Periodontal Disease, Tooth Loss, and Mortality: Findings from the 1914 Glostrup Aging Study
Salazar, C. R. (2013) · doi:10.7916/d84f1xzv
Immunity, Inflammation and infections during aging
Capri, M., Salvioli, S., Sevini, F., Cevenini, E., Pierini, M., Celani, L., Bucci, L., Ostan, R., Scurti, M., Mazzà, D., et al. (2007) · Springer eBooks · doi:10.1007/1-4020-5058-5_2
Theoretical considerations in the clinical application of WBV to sarcopenia, osteoporosis and metabolic syndrome
Krause, M. (2010) · Elsevier eBooks · doi:10.1016/b978-0-7020-3173-1.00007-7
Exercise training attenuates pancreatic β-cell decompensation and hepatic inflammation in the male Zucker diabetic fatty rat.
Kiràly, M. A. (2008) · TSpace (University of Toronto)
The Role of Resveratrol and Sirtuin1 in Skeletal Muscle Under a Nutrient Stress
Dugdale, H. F. (2017) · Liverpool John Moores University · doi:10.24377/ljmu.t.00006576
The extrinsic apoptotic pathway in aged skeletal muscle: Roles of tumor necrosis factor-alpha and interleukin-15
Pistilli, E. E. (2006) · doi:10.33915/etd.2511
A novel paradigm for heart failure with preserved ejection fraction
Cuijpers, I. (2020) · Research Publications (Maastricht University) · doi:10.26481/dis.20201028ic
Papel do estresse oxidativo no envelhecimento das glândulas lacrimais
de Souza, R. G. (2021) · doi:10.11606/t.5.2021.tde-13122021-111346
Inflamm-Aging
Bucci, L., Ostan, R., Capri, M., Salvioli, S., Cevenini, E., Celani, L., Monti, D., & Franceschi, C. (2009) · Springer eBooks · doi:10.1007/978-1-4020-9063-9_45
Inflammation
Rohleder, N., & Wolf, J. M. (2020) · Springer eBooks · doi:10.1007/978-3-030-39903-0_25
Interleukins, -1 (IL-1), -6 (IL-6), -18 (IL-18)
Rohleder, N. (2020) · Springer eBooks · doi:10.1007/978-3-030-39903-0_26
Tumor Necrosis Factor-Alpha (TNF-Alpha)
Rohleder, N. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1005-9_72
Aging Influence Mitochondrial Dysfunction and Oxidative Stress through Check Some Proinflammatory Cytokines Levels and Oxidant Status in Older Adults: an Observational Study
Khafar, K. (2020) · Indian Journal of Forensic Medicine & Toxicology · doi:10.37506/ijfmt.v14i2.2956
Interleukins, -1 (IL-1), -6 (IL-6), -18 (IL-18)
Rohleder, N. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1005-9_26
Inflammation
Rohleder, N., & Wolf, J. M. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1005-9_25
Immunosenescence and ACE2 protein expression: Association with SARS-CoV-2 in older adults
Acosta, A. G., Miguel, R. C. E., del Rocío, R.-M. M., Duarte-Escalante, E., Rocío, A.-R., Torres-Estrella, C. U., & Valencia-Ledezma Omar, E. (2022) · Open Journal of Asthma · doi:10.17352/oja.000018
Peer Review #6 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.1)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.1/reviews/6
Peer Review #1 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.1)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.1/reviews/1
Peer Review #5 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.2)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.2/reviews/5
Peer Review #1 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.2)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.2/reviews/1
Peer Review #5 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.1)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.1/reviews/5
Peer Review #4 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.2)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.2/reviews/4
Peer Review #3 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.1)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.1/reviews/3
Peer Review #4 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.1)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.1/reviews/4
Peer Review #3 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.2)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.2/reviews/3
Peer Review #2 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.1)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.1/reviews/2
Peer Review #6 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.2)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.2/reviews/6
Peer Review #2 of "An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients (v0.2)"
(2022) · PeerJ · doi:10.7287/peerj.14487v0.2/reviews/2
肝・胆・膵領域 ‐immunonutritionの効果を中心に‐ Hepatobiliary pancreatic surgery
古川, 勝., 鈴木, 大., & 大塚, 将. (2022) · The Japanese Journal of SURGICAL METABOLISM and NUTRITION · doi:10.11638/jssmn.56.6_225
Sportmedizinische Grundlagen: Immunologische Beanspruchung durch körperliche Belastung
Puta, C., & Gabriel, H. H. W. (2023) · Springer eBooks · doi:10.1007/978-3-662-53410-6_20
The Covid-19 and TB Syndemic: Differences and Similarities
Kaufmann, S. H. E., Sher, A., Sigal, A., & Sawitzki, B. (2023) · Frontiers research topics · doi:10.3389/978-2-8325-4116-6
Intracellular cytokines in peritoneal leukocytes relate to lifespan in aging and long-lived female mice
de Toda, I. M., Félix, J., Cerro, E. D., & la Fuente, M. D. (2024) · Biogerontology · doi:10.1007/s10522-024-10110-0
SEARCHING FOR ASTHENIC SYNDROME MARKERS IN ELDERLY AND OLD AGE PATIENTS WITH ACUTE CHOLECYSTITIS
Danyliuk, M. B., Zavgorodniy, S. M., Кубрак, М. А., Fedotov, E. R., Mikhal’chenko, E. K., & Shchurov, M. F. (2024) · Bulletin of Problems Biology and Medicine · doi:10.29254/2077-4214-2024-2-173-205-213
Associative Analysis of Serum Tumor Necrosis Factor-Alpha, C-Reactive Protein, and Interleukin-6 Levels with Frailty Status in the Elderly Population
Helmi, E. D., Ahmed, S. I., Gad, M. S., Saad, M. A., Elneily, D., Attia, A. E., & Khedr, W. E. (2024) · Journal of acute care and resuscitation. · doi:10.4103/jacresus.jacresus_17_24
Social Support as a Moderator of Racial/Ethnic Differences in Subclinical Atherosclerosis: The North Texas Heart Study
García, J. J. (2017) · doi:10.12794/metadc1011872
Immunogenetics of Aging
Amirzargar, A. A. (2013) · Springer eBooks · doi:10.1007/978-3-642-39495-9_16
Production of a risk mitigation matrix and four-grade threshold scale using Cox Regression to predict osteoarthritis development
Coleman, L. J., Byrne, J. L., Edwards, S., & O’Hara, R. (2026) · Open Life Sciences · doi:10.1515/biol-2025-1193
Implication des céramides dans l'atrophie musculaire
Larichaudy, J. D. (2012) · theses.fr (ABES) · doi:10.70675/b97ff403z6fa7z464fzb67czaa56e3753d9e
HealthMarkers: Clinical and Metabolic Biomarker Calculation Toolkit
Suleman, S. (2026) · CRAN: Contributed Packages · doi:10.32614/cran.package.healthmarkers

Authors: BRUUNSGAARD, H., LADELUND, S., PEDERSEN, A. N., SCHROLL, M., JØRGENSEN, T., & PEDERSEN, B. K.
Affiliations: Department of Infectious Diseases, H:S, Rigshospitalet, University of Copenhagen
Glostrup Hospital (DK)
Center for Preventive Medicine, Glostrup University Hospital
Bispebjerg Hospital (DK)
ORCID: LADELUND, S
JØRGENSEN, T
Venue: Clinical and Experimental Immunology
Publisher: Oxford University Press (OUP)
Published: 2003-03-24
Volume: 132
Issue: 1
Pages: 24-31
ISSN: 0009-9104 (ISSN-L)
1365-2249
DOI: 10.1046/j.1365-2249.2003.02137.x
PMC: PMC1808682
OpenAlex: W1983973676
Cited by: 300
References: 45
Citations by year: 2026: 4 · 2025: 10 · 2024: 12 · 2023: 18 · 2022: 27 · 2021: 15 · 2020: 20 · 2019: 14 · 2018: 8 · 2017: 8 · 2016: 14 · 2015: 9 · 2014: 8 · 2013: 13 · 2012: 17
FWCI: 7.25
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
Locations: Clinical & Experimental Immunology (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
Keywords: TNF-α, interleukin-6, all-cause mortality, low-grade inflammation, aging, older adults, serum cytokines, sex differences, prognostic factors, age-related diseases
MeSH terms: Aged, Aged, 80 and over, Cause of Death, Death, Female, Humans, Male, Predictive Value of Tests, Prospective Studies, Regression Analysis, Risk Factors, Sex Factors, Tumor Necrosis Factor-alpha, Interleukin-6, Comorbidity, Survival Rate

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Predicting death from tumour necrosis factor-alpha and interleukin-6 in 80-year-old people

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks