{"doi":"10.1016/j.nbd.2023.106090","title":"Inflammaging, cellular senescence, and cognitive aging after traumatic brain injury","abstract":"Traumatic brain injury (TBI) is associated with mortality and morbidity worldwide. Accumulating pre-clinical and clinical data suggests TBI is the leading extrinsic cause of progressive neurodegeneration. Neurological deterioration after either a single moderate-severe TBI or repetitive mild TBI often resembles dementia in aged populations; however, no currently approved therapies adequately mitigate neurodegeneration. Inflammation correlates with neurodegenerative changes and cognitive dysfunction for years post-TBI, suggesting a potential association between immune activation and both age- and TBI-induced cognitive decline. Inflammaging, a chronic, low-grade sterile inflammation associated with natural aging, promotes cognitive decline. Cellular senescence and the subsequent development of a senescence associated secretory phenotype (SASP) promotes inflammaging and cognitive aging, although the functional association between senescent cells and neurodegeneration is poorly defined after TBI. In this mini-review, we provide an overview of the pre-clinical and clinical evidence linking cellular senescence with poor TBI outcomes. We also discuss the current knowledge and future potential for senotherapeutics, including senolytics and senomorphics, which kill and/or modulate senescent cells, as potential therapeutics after TBI.","journal":"Neurobiology of Disease","year":2023,"id":321864,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":42,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9598,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":288622,"name":"Abbas Jarrahi","orcid":"0000-0003-4746-3363","position":1,"is_corresponding":false},{"id":832002,"name":"Nicholas Moore","orcid":"0000-0003-1212-2817","position":2,"is_corresponding":false},{"id":336920,"name":"Manuela Bartoli","orcid":"0000-0003-1991-6775","position":3,"is_corresponding":false},{"id":275899,"name":"Darrell W. Brann","orcid":"0000-0002-4480-8859","position":4,"is_corresponding":false},{"id":288628,"name":"Babak Baban","orcid":"0000-0002-3144-2288","position":5,"is_corresponding":false},{"id":288630,"name":"Krishnan M. Dhandapani","orcid":"0000-0001-7044-1117","position":6,"is_corresponding":false},{"id":276741,"name":"Yujiao Lu","orcid":null,"position":0,"is_corresponding":true}],"reference_count":256,"raw_metadata":null,"created_at":"2026-07-19T01:07:37.596550Z","pmid":"36934795","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}