The DOI matches its Crossref record; 247 of the 247 references it cites were found in a registry or an index.
Immune aging, dysmetabolism, and inflammation in neurological diseases
Open accessAbstract
As we age, the immune system undergoes a process of senescence accompanied by the increased production of proinflammatory cytokines, a chronic subclinical condition named as "inflammaging". Emerging evidence from human and experimental models suggest that immune senescence also affects the central nervous system and promotes neuronal dysfunction, especially within susceptible neuronal populations. In this review we discuss the potential role of immune aging, inflammation and metabolic derangement in neurological diseases. The discovery of novel therapeutic strategies targeting age-linked inflammation may promote healthy brain aging and the treatment of neurodegenerative as well as neuropsychiatric disorders.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures

Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“At the systemic level, peripheral inflammaging leads to low-level production of inflammatory mediators in the circulation, including IL-6, TNF-α, and C-reactive protein (CRP), which also contribute to the inflammatory environment in the CNS.36,49,116”
From Role of neuroinflammation in neurodegeneration development (2023) · cites this paper as [116]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Polazzi, E., Mengoni, I., Caprini, M., Peña‐Altamira, E., Kurtys, E., & Monti, B. (2012) · Neurosignals · doi:10.1159/000337115 · Cited by 9,023
Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,526
Glutamate neurotoxicity and diseases of the nervous system
Choi, D. W. (1988) · Neuron · doi:10.1016/0896-6273(88)90162-6 · Cited by 8,188
Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo
Nimmerjahn, A., Kirchhoff, F., & Helmchen, F. (2005) · Science · doi:10.1126/science.1110647 · Cited by 5,827
Leptin and the regulation of body weight in mammals
Friedman, J. M., & Halaas, J. L. (1998) · Nature · doi:10.1038/27376 · Cited by 5,405
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
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
A Meta-Analysis of Cytokines in Major Depression
Dowlati, Y., Herrmann, N., Swardfager, W., Liu, H., Sham, L., Reim, E. K., & Lanctôt, K. L. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.09.033 · Cited by 4,729
The importance of the ratio of omega-6/omega-3 essential fatty acids
Simopoulos, A. P. (2002) · Biomedicine & Pharmacotherapy · doi:10.1016/s0753-3322(02)00253-6 · Cited by 4,286
Cited by
Sorted by citations
Role of neuroinflammation in neurodegeneration development
Zhang, W., Xiao, D., Mao, Q., & Xia, H. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01486-5 · Cited by 1,668
“BCSFB disruption impaired the selectivity of it, leading to increased infiltration of cytokines and leukocytes into the CSF which then activated glial cells in the CNS.144,145 BCSFB acts as a gateway for inflammationresolving leukocyte entry into the CSF during immune responses through the constitutively expressed adh…”
BackgroundInfluentialMrdjen, D., Pavlovic, A., Hartmann, F. J., Schreiner, B., Utz, S. G., Leung, B. P., Lelios, I., Heppner, F. L., Kipnis, J., Merkler, D., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.01.011 · Cited by 1,010
Protein misfolding in neurodegenerative diseases: Implications and strategies
Sweeney, P., Park, H., Baumann, M., Dunlop, J., Frydman, J., Kopito, R., McCampbell, A., Leblanc, G., Venkateswaran, A., Nurmi, A., et al. (2017) · Translational Neurodegeneration · doi:10.1186/s40035-017-0077-5 · Cited by 675
The aging clock: circadian rhythms and later life
Hood, S., & Amir, S. (2017) · Journal of Clinical Investigation · doi:10.1172/jci90328 · Cited by 641
Inflammation: the link between comorbidities, genetics, and Alzheimer’s disease
Newcombe, E. A., Camats-Perna, J., Silva, M. L., Valmas, N., Huat, T. J., & Medeiros, R. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1313-3 · Cited by 532
A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring
Alpert, A., Pickman, Y., Leipold, M., Rosenberg-Hasson, Y., Ji, X., Gaujoux, R., Rabani, H., Starosvetsky, E., Kveler, K., Schaffert, S., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0381-y · Cited by 513
Chung, H. Y., Kim, D. H., Lee, E. K., Chung, K. W., Chung, S., Lee, B., Seo, A. Y., Chung, J. H., Jung, Y. S., Im, E., et al. (2018) · Aging and Disease · doi:10.14336/ad.2018.0324 · Cited by 512
The Meningeal Lymphatic System: A New Player in Neurophysiology
Da Mesquita, S., Fu, Z., & Kipnis, J. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.022 · Cited by 479
Obesity and related consequences to ageing
Jura, M., & Kozak, L. P. (2016) · AGE · doi:10.1007/s11357-016-9884-3 · Cited by 473
Resolution of inflammation: An organizing principle in biology and medicine
Panigrahy, D., Gilligan, M. M., Serhan, C. N., & Kashfi, K. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107879 · Cited by 359
Prospects and Challenges of Volatile Organic Compound Sensors in Human Healthcare
Jalal, A. H., Alam, F., Roychoudhury, S., Umasankar, Y., Pala, N., & Bhansali, S. (2018) · ACS Sensors · doi:10.1021/acssensors.8b00400 · Cited by 315
The Immune System and Its Dysregulation with Aging
Müller, L., Benedetto, S. D., & Pawelec, G. (2019) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-981-13-3681-2_2 · Cited by 294
Nutrition and the gut microbiome in the elderly
Salazar, N., Valdés-Varela, L., González, S., Gueimonde, M., & de los Reyes-Gavilán, C. G. (2017) · Gut Microbes · doi:10.1080/19490976.2016.1256525 · Cited by 282
Benedetto, S. D., Müller, L., Wenger, E., Düzel, S., & Pawelec, G. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.044 · Cited by 295
Intestinal microbial dysbiosis aggravates the progression of Alzheimer’s disease in Drosophila
Wu, S.-C., Cao, Z.-S., Chang, K.-M., & Juang, J. (2017) · Nature Communications · doi:10.1038/s41467-017-00040-6 · Cited by 261
Brkic, M., Balusu, S., Libert, C., & Vandenbroucke, R. E. (2015) · Mediators of Inflammation · doi:10.1155/2015/620581 · Cited by 205
Satellite Cells in Muscular Dystrophy – Lost in Polarity
Chang, N. C., Chevalier, F. P., & Rudnicki, M. A. (2016) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2016.04.002 · Cited by 218
Revisiting Metchnikoff: Age-related alterations in microbiota-gut-brain axis in the mouse
Scott, K. A., Ida, M., Peterson, V. L., Prenderville, J. A., Moloney, G. M., Izumo, T., Murphy, K., Murphy, A., Ross, R. P., Stanton, C., et al. (2017) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2017.02.004 · Cited by 202
The role of the adaptive immune system and T cell dysfunction in neurodegenerative diseases
DeMaio, A., Mehrotra, S., Sambamurti, K., & Husain, S. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02605-9 · Cited by 192
Pharmacotherapeutic potential of ginger and its compounds in age-related neurological disorders
Choi, J. G., Kim, S. Y., Jeong, M., & Oh, M. S. (2017) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2017.08.010 · Cited by 155
Immunosenescence and inflammaging: Mechanisms and role in diseases
Ajoolabady, A., Praticò, D., Tang, D., Zhou, S., Franceschi, C., & Ren, J. T. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102540 · Cited by 166
The Role of Immunosenescence in Neurodegenerative Diseases
Costantini, E., D’Angelo, C., & Reale, M. (2018) · Mediators of Inflammation · doi:10.1155/2018/6039171 · Cited by 133
Panagiotakopoulou, V., Ivanyuk, D., Cicco, S. D., Haq, W., Arsić, A., Yu, C., Messelodi, D., Oldrati, M., Schöndorf, D. C., Maria Jose Perez, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18755-4 · Cited by 134
Self-citationBéland, L.-C., Markovinovic, A., Jakovac, H., De Marchi, F., Bilic, E., Mazzini, L., Kriz, J., & Munitic, I. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa124 · Cited by 125
Immune aging in diabetes and its implications in wound healing
Moura, J., Madureira, P., Leal, E. C., Fonseca, A. C., & Carvalho, E. (2019) · Clinical Immunology · doi:10.1016/j.clim.2019.02.002 · Cited by 120
Neurodegeneration and Neuroinflammation in Parkinson’s Disease: a Self-Sustained Loop
Arena, G., Sharma, K., Agyeah, G., Krüger, R., Grünewald, A., & Fitzgerald, J. C. (2022) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-022-01207-5 · Cited by 121
T-cell senescence contributes to abnormal glucose homeostasis in humans and mice
Yi, H., Kim, S. Y., Kim, J. T., Lee, Y., Moon, J. S., Kim, M., Kang, Y. E., Joung, K. H., Lee, J. H., Kim, H. J., et al. (2019) · Cell Death and Disease · doi:10.1038/s41419-019-1494-4 · Cited by 102
Age and the risks of high-efficacy disease modifying drugs in multiple sclerosis
Schweitzer, F., Laurent, S. A., Fink, G. R., Barnett, M. H., Reddel, S., Hartung, H., & Warnke, C. (2019) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000701 · Cited by 102
Classifying aging as a disease in the context of ICD-11
Zhavoronkov, A. A., & Bhullar, B. (2015) · Frontiers in Genetics · doi:10.3389/fgene.2015.00326 · Cited by 103
Microglia and astrocyte involvement in neurodegeneration and brain cancer
Vandenbark, A. A., Offner, H., Matejuk, S., & Matejuk, A. (2021) · Journal of Neuroinflammation · doi:10.1186/s12974-021-02355-0 · Cited by 101
Meal timing, aging, and metabolic health
Kessler, K., & Pivovarova-Ramich, O. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20081911 · Cited by 95
Lifelong aerobic exercise protects against inflammaging and cancer
Nilsson, M. I., Bourgeois, J. M., Nederveen, J. P., Leite, M. R., Hettinga, B. P., Bujak, A. L., May, L. L., Lin, E., Crozier, M., Rusiecki, D. R., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0210863 · Cited by 98
Of microbes and minds: A narrative review on the second brain aging
Calvani, R., Picca, A., Lo Monaco, M. R., Landi, F., Bernabei, R., & Marzetti, E. (2018) · Frontiers in Medicine · doi:10.3389/fmed.2018.00053 · Cited by 92
Ye, L., Mauro, T. M., Dang, E., Wang, G., Hu, L., Chen, Y., Jeong, S., Feingold, K. R., Elias, P. M., Lv, C., et al. (2019) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.15540 · Cited by 90
Karagiannis, T. T., Dowrey, T. W., Villacorta-Martín, C., Montano, M. A., Reed, E. R., Belkina, A. C., Andersen, S. L., Perls, T. T., Monti, S., Murphy, G. J., et al. (2023) · EBioMedicine · doi:10.1016/j.ebiom.2023.104514 · Cited by 88
Systemic Inflammation and Acute-on-Chronic Liver Failure: Too Much, Not Enough
Laleman, W., Clària, J., der Merwe, V., Moreau, R., & Trebicka, J. (2018) · Canadian Journal of Gastroenterology and Hepatology · doi:10.1155/2018/1027152 · Cited by 84
Plasma proteomics identify biomarkers and undulating changes of brain aging
Liu, W., You, J., Chen, S.-D., Zhang, Y., Feng, J., Xu, Y., Yu, J., & Cheng, W. (2024) · Nature Aging · doi:10.1038/s43587-024-00753-6 · Cited by 90
Hohman, L. S., & Osborne, L. C. (2022) · Aging Cell · doi:10.1111/acel.13700 · Cited by 86
Komleva, Y. K., Chernykh, A., Lopatina, O. L., Gorina, Y. V., Lokteva, I., Salmina, A. B., & Gollasch, M. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.618395 · Cited by 83
Sarubbo, F., Moranta, D., & Pani, G. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.011 · Cited by 77
Stem cell therapy for neurological disorders: A focus on aging
Nguyen, H., Zarriello, S., Coats, A. B., Nelson, C., Kingsbury, C., Gorsky, A., Rajani, M., Neal, E. G., & Borlongan, C. V. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.09.011 · Cited by 74
Lana, D., Ugolini, F., Nosi, D., Wenk, G. L., & Giovannini, M. G. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.651973 · Cited by 73
Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review
Ding, Z., Lee, T., & Chan, A. S.-Y. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11144191 · Cited by 69
Vivarelli, S., Costa, C., Teodoro, M., Giambò, F., Tsatsakis, A. M., & Fenga, C. (2022) · Archives of Toxicology · doi:10.1007/s00204-022-03391-2 · Cited by 69
Lana, D., Iovino, L., Nosi, D., Wenk, G. L., & Giovannini, M. G. (2016) · Experimental Gerontology · doi:10.1016/j.exger.2016.07.011 · Cited by 68
Microbiota impacts on chronic inflammation and metabolic syndrome - related cognitive dysfunction
Arnoriaga‐Rodríguez, M., & Fernández‐Real, J. M. (2019) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-019-09537-5 · Cited by 68
White matter damage and systemic inflammation in Parkinson’s disease
Chiang, P., Chen, H.-L., Lu, C., Chen, P.-C., Chen, M., Yang, I.-H., Tsai, N., & Lin, W. (2017) · BMC Neuroscience · doi:10.1186/s12868-017-0367-y · Cited by 63
Vida, C., de Toda, I. M., Garrido, A., Carro, E., Molina, J. A., & la Fuente, M. D. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01974 · Cited by 62
Giovannini, M. G., Lana, D., Traini, C., & Vannucchi, M. G. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10112358 · Cited by 64
Mander, B. A., Dave, A., Lui, K. K., Sprecher, K. E., Berisha, D. E., Chappel-Farley, M. G., Chen, I. Y., Riedner, B. A., Heston, M. B., Suridjan, I., et al. (2022) · SLEEP · doi:10.1093/sleep/zsac135 · Cited by 62
Inflammation as common link to progressive neurological diseases
Dias-Carvalho, A., Sá, S. I., Carvalho, F., Fernandes, E., & Costa, V. M. (2024) · Archives of Toxicology · doi:10.1007/s00204-023-03628-8 · Cited by 60
Beneficial effects of dietary restriction in aging brain
Hadem, I. K. H., Majaw, T., Kharbuli, B., & Sharma, R. (2019) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2017.10.001 · Cited by 59
Behairi, N., Belkhelfa, M., Rafa, H., Labsi, M., Deghbar, N., Bouzid, N., Mesbah-Amroun, H., & Touil–Boukoffa, C. (2016) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2016.10.004 · Cited by 62
Inflammaging and Brain: Curcumin and Its Beneficial Potential as Regulator of Microglia Activation
Cianciulli, A., Calvello, R., Ruggiero, M., & Panaro, M. A. (2022) · Molecules · doi:10.3390/molecules27020341 · Cited by 60
Morita, Y., Jounai, K., Sakamoto, A., Tomita, Y., Sugihara, Y., Suzuki, H., Ohshio, K., Otake, M., Fujiwara, D., Kanauchi, O., et al. (2018) · Aging · doi:10.18632/aging.101583 · Cited by 60
Dow, C. T., & Harley, C. (2016) · Clinical Ophthalmology · doi:10.2147/opth.s100042 · Cited by 56
Gudkov, S. V., Burmistrov, D. E., Kondakova, E. V., Sarimov, R. M., Yarkov, R. S., Franceschi, C., & Vedunova, M. V. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101775 · Cited by 57
Role of pattern recognition receptors of the neurovascular unit in inflamm-aging
Wilhelm, I., Nyúl-Tóth, Á., Kozma, M., Farkas, A. E., & Krizbai, I. A. (2017) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00106.2017 · Cited by 56
Circulating markers of ageing and allostatic load: A slow train coming
Shiels, P. G., Stenvinkel, P., Kooman, J. P., & McGuinness, D. (2016) · Practical Laboratory Medicine · doi:10.1016/j.plabm.2016.04.002 · Cited by 53
Precision Aging: Applying Precision Medicine to the Field of Cognitive Aging
Ryan, L., Hay, M., Huentelman, M. J., Duarte, A., Rundek, T., Levin, B. E., Soldan, A., Pettigrew, C. A., Mehl, M. R., & Barnes, C. A. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00128 · Cited by 55
Immune biomarkers in older adults: Role of physical activity
Valdiglesias, V., Sánchez-Flores, M., Maseda, A., Lorenzo‐López, L., Marcos-Pérez, D., Facal, A. L.-C., Strasser, B., Fuchs, D., Laffón, B., Millán-Calentí, J. C., et al. (2017) · Journal of Toxicology and Environmental Health · doi:10.1080/15287394.2017.1286898 · Cited by 51
Valente, M., Dentoni, M., Bellizzi, F., Kuris, F., & Gigli, G. L. (2022) · Molecules · doi:10.3390/molecules27154836 · Cited by 52
The Post-amyloid Era in Alzheimer's Disease: Trust Your Gut Feeling
Osorio, C. P., Kanukuntla, T., Diaz, E. L., Jafri, N., Cummings, M., & Sfera, A. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00143 · Cited by 50
Mitochondrial Dysfunction and Inflammaging in Heart Failure: Novel Roles of CYP-Derived Epoxylipids
Keshavarz-Bahaghighat, H., Darwesh, A. M., Sosnowski, D. K., & Seubert, J. M. (2020) · Cells · doi:10.3390/cells9071565 · Cited by 49
Bouamama, S., Merzouk, H., Medjdoub, A., Merzouk, A. S., & Merzouk, S. A. (2017) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2016-0201 · Cited by 48
McFarland, K. N., & Chakrabarty, P. (2022) · Neurotherapeutics · doi:10.1007/s13311-021-01179-3 · Cited by 48
Vuić, B., Milos, T., Tudor, L., Konjevod, M., Perković, M. N., Jembrek, M. J., Erjavec, G. N., & Štrac, D. Š. (2022) · Biomedicines · doi:10.3390/biomedicines10123000 · Cited by 49
Mishra, A., Wang, Y., Yin, F., Vitali, F., Rodgers, K. E., Soto, M., Mosconi, L., Wang, T., & Brinton, R. D. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101542 · Cited by 48
Successes and Hurdles in Stem Cells Application and Production for Brain Transplantation
Henriques, D., Moreira, R., Schwamborn, J. C., de Almeida, L. P., & Mendonça, L. S. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01194 · Cited by 46
Tang, A. S., Oskotsky, T., Havaldar, S., Mantyh, W. G., Bicak, M., Solsberg, C. W., Woldemariam, S., Zeng, B., Hu, Z., Oskotsky, B., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28273-0 · Cited by 45
Glinert, A., Turjeman, S., Elliott, E., & Koren, O. (2021) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12812 · Cited by 48
Cellular Senescence, Neurological Function, and Redox State
Maciel-Barón, L. Á., Moreno-Blas, D., Morales-Rosales, S. L., González‐Puertos, V. Y., López‐Díazguerrero, N. E., Torres, C. A., Castro‐Obregón, S., & Königsberg, M. (2017) · Antioxidants and Redox Signaling · doi:10.1089/ars.2017.7112 · Cited by 47
Dimethyltryptamine (DMT): a biochemical Swiss Army knife in neuroinflammation and neuroprotection?
Szabó, A., & Frecska, E. (2016) · Neural Regeneration Research · doi:10.4103/1673-5374.179041 · Cited by 45
Prosperini, L., Scarpazza, C., Imberti, L., Cordioli, C., Rossi, N. D., & Capra, R. (2017) · Journal of NeuroVirology · doi:10.1007/s13365-017-0561-9 · Cited by 42
Joisten, N., Walzik, D., Metcalfe, A. J., Bloch, W., & Zimmer, P. (2020) · International Journal of Tryptophan Research · doi:10.1177/1178646920938688 · Cited by 46
Soluble factors influencing the neural stem cell niche in brain physiology, inflammation, and aging
Willis, C. M., Nicaise, A. M., Krzak, G., Ionescu, R.-B., Pappa, V., D’Angelo, A., Agarwal, R., Repollés-de-Dalmau, M., Peruzzotti‐Jametti, L., & Pluchino, S. (2022) · Experimental Neurology · doi:10.1016/j.expneurol.2022.114124 · Cited by 43
Recent Developments in Coumarin Derivatives as Neuroprotective Agents
Mishra, P. S., Kumar, A., Kaur, K., & Jaitak, V. (2023) · Current Medicinal Chemistry · doi:10.2174/0929867331666230714160047 · Cited by 39
Capelle, C., Ciré, S., Hedin, F., Hansen, M., Pavelka, L., Grzyb, K., Kyriakis, D., Hunewald, O. E., Konstantinou, M., Revets, D., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43053-0 · Cited by 43
Nosi, D., Lana, D., Giovannini, M. G., Delfino, G., & Zecchi‐Orlandini, S. (2021) · Cells · doi:10.3390/cells10051195 · Cited by 41
Carrier, M., Šimončičová, E., St‐Pierre, M., McKee, C., & Tremblay, M. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.749737 · Cited by 37
Lu, H., Teng, F., Zhang, P., Fei, Y., Peng, L., Zhou, J., Wang, M., Liu, X., Zhu, L., Wang, L., et al. (2020) · Rheumatology · doi:10.1093/rheumatology/keaa651 · Cited by 37
Intracerebral Hemorrhage: The Effects of Aging on Brain Injury
Watson, N. J., Bonsack, F., & Sukumari‐Ramesh, S. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.859067 · Cited by 37
Lana, D., Ugolini, F., Nosi, D., Wenk, G. L., & Giovannini, M. G. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00296 · Cited by 39
Role of B cells and the aging brain in stroke recovery and treatment
Engler-Chiurazzi, E. B., Monaghan, K. L., Wan, E. C. K., & Ren, X. S. (2020) · GeroScience · doi:10.1007/s11357-020-00242-9 · Cited by 38
Pintado, C., Macías, S., Dominguez-Martín, H., Castaño, A., & Ruano, D. (2017) · Scientific Reports · doi:10.1038/s41598-017-08722-3 · Cited by 33
Du, G., Liu, Z., Yu, Z., Zhuo, Z., Zhu, Y., Zhou, J., Yang, L., & Chen, H. (2021) · Aging Cell · doi:10.1111/acel.13319 · Cited by 38
Immunosenescence as a convergence pathway in neurodegeneration
Mohapatra, L., Mishra, D. K., Tripathi, A. S., & Parida, S. K. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2023.110521 · Cited by 38
Reed, M. J., Damodarasamy, M., Pathan, J. L., Erickson, M. A., Banks, W. A., & Vernon, R. B. (2018) · Journal of Histochemistry & Cytochemistry · doi:10.1369/0022155418774779 · Cited by 36
Lemaître, P., Tareen, S. H. K., Pasciuto, E., Mascali, L. G., Martirosyan, A., Callaerts‐Vegh, Z., Poovathingal, S. K., Dooley, J., Holt, M. G., Yshii, L., et al. (2023) · EMBO Molecular Medicine · doi:10.15252/emmm.202216805 · Cited by 31
Lana, D., Ugolini, F., Wenk, G. L., Giovannini, M. G., Zecchi‐Orlandini, S., & Nosi, D. (2018) · The FASEB Journal · doi:10.1096/fj.201801539r · Cited by 32
Škandík, M., Mrvová, N., Bezek, Š., & Račková, L. (2020) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2020.02.030 · Cited by 35
Chiou, K. L., DeCasien, A. R., Rees, K. P., Testard, C., Spurrell, C. H., Gogate, A. A., Pliner, H. A., Tremblay, S., Mercer, A., Whalen, C. J., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01197-0 · Cited by 36
Aliseychik, M., Patrikeev, A., Gusev, F. E., Grigorenko, A. P., Андреева, Т. В., Biragyn, A., & Rogaev, E. I. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00012 · Cited by 33
Zhang, M., Cui, J., Chen, H., Cheng, Y., Chen, Q., Zong, F., Lu, X. J., Qin, L., Han, Y., Kuai, X., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56002-w · Cited by 37
Rodrigues, M. J., Ślusarczyk, S., Pecio, Ł., Matkowski, A., Salmas, R. E., Durdağı, S., Pereira, C. G., Varela, J. C. S., Barreira, L. A., & Custódio, L. M. B. (2017) · Industrial Crops and Products · doi:10.1016/j.indcrop.2017.10.046 · Cited by 32
GIT2—A keystone in ageing and age-related disease
van Gastel, J., Boddaert, J., Jushaj, A., Premont, R. T., Luttrell, L. M., Janssens, J., Martin, B., & Maudsley, S. R. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.02.002 · Cited by 32
Autophagy and NLRP3 inflammasome crosstalk in neuroinflammation in aged bovine brains
Biase, D. D., Piegari, G., Prisco, F., Cimmino, I., Pirozzi, C., Raso, G. M., Oriente, F., Grieco, E., Papparella, S., & Paciello, O. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.29426 · Cited by 32
Specificity of Adaptive Immune Responses in Central Nervous System Health, Aging and Diseases
Rickenbach, C., & Gericke, C. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.806260 · Cited by 33
Müller, L., & Benedetto, S. D. (2023) · Immunity & Ageing · doi:10.1186/s12979-023-00341-z · Cited by 31
Dongol, A., Chen, X., Zheng, P., Seyhan, Z. B., & Huang, X. (2023) · Biology Direct · doi:10.1186/s13062-023-00445-y · Cited by 28
Metadata
- Authors
- Deleidi, M., Jäggle, M., & Rubino, G.
- Affiliations
- German Center for Neurodegenerative Diseases (DE)
- University of Tübingen (DE)
- Corresponding author
- Deleidi, Michela
- ORCID
- Deleidi, Michela
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2015-06-03
- Volume
- 9
- Pages
- 172-172
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC4453474
- OpenAlex
- W1486303545
- Cited by
- 260
- References
- 247
- Citations by year
- 2026: 15 · 2025: 12 · 2024: 18 · 2023: 27 · 2022: 37 · 2021: 23 · 2020: 26 · 2019: 26 · 2018: 28 · 2017: 26 · 2016: 17 · 2015: 5
- FWCI
- 2.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DZNE Pub (submittedVersion, other-oa)
- Funders
- European Commission (304108)
- Fritz Thyssen Stiftung
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- immunosenescence, inflammaging, neuroinflammation, neurodegenerative diseases, neuropsychiatric disorders, inflammatory cytokines, brain aging, neuronal dysfunction, anti-inflammatory therapy
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