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Record W4315796630 · doi:10.3389/fphar.2023.1134918

Editorial: Anti-inflammatory immunopharmacology in the prevention and treatment of major chronic diseases

2023· editorial· en· W4315796630 on OpenAlexaff
Qiuwang Zhang, Shihai Yan, Dongdong Sun, Zhirong Geng, Peixiang Zhang

Bibliographic record

VenueFrontiers in Pharmacology · 2023
Typeeditorial
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsImmunopharmacologyMedicineInflammationPharmacologyHuman physiologyClinical pharmacologyImmunologyInternal medicineImmune system

Abstract

fetched live from OpenAlex

Chronic diseases (CDs) are defined by the World Health Organization (WHO) as noncommunicable diseases resulting from combined actions of genetic, environmental and behavioural factors; they are of long duration and generally slow in progression (https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases). CDs such as cardiovascular and cerebrovascular diseases, cancer and diabetes are significant contributors to death and disability worldwide. A systematic analysis for the Global Burden of Disease (GBD) Study 2015 revealed that ischemic heart disease, stroke and diabetes were the leading causes for years of life lost (GBD 2015 Mortality andCauses of Death Collaborators, 2016). A more recent study by the GBD 2019 Diseases and Injuries Collaborators showed that in 2019, CDs were responsible for significantly increased years lived with disability, and ischemic heart disease and stroke were the top causes of disability-adjusted life-years for individuals aged 50 years and over. Using a dynamic micro-simulation model to analyze the sociodemographic factors, health behaviours, and chronic diseases and geriatric conditions of individuals ≥ 35 years of age to project multimorbidity in the older population in the UK in 2035, Kingston et al. found that there would be an approximately 200% increase in cancer incidence and a 120% increase in diabetes incidence for the population aged ≥ 65 years of age in 2035. This data plus the fact that the global population is rapidly aging call for efforts to develop more effective interventions to prevent and treat CDs.Inflammation has long been recognized as playing a key role in the pathogenesis of CDs (Pawelec et al., 2014;Furman et al., 2019). Inflammation is an evolutionarily conserved self-healing process involving immune and non-immune cells to eliminate pathogens and promote tissue repair and recovery. Environmental, genetic and lifestyle factors can dysregulate a normal inflammatory response, leading to chronic inflammation and eventually CDs. Despite the recognition of a close link between chronic inflammation and CDs, the mechanisms of CD pathogenesis remain to be fully understood, and more therapeutic approaches are needed.Against the backdrop described above, this Research Top aimed to disseminate up-to-date knowledge of anti-inflammatory immunopharmacology in the prevention and treatment of CDs.A total of 11 articles on basic research, clinical research or review of literature were published in this Research Topic, covering a variety of areas of anti-inflammatory immunopharmacology in the prevention and management of CDs.Multiple sclerosis (MS), a chronic inflammatory autoimmune disease, is characterized by demyelination and neurodegeneration restricted to the central nervous system. There's currently no cure for MS and treatments focus on controlling the condition and improving the symptoms (Hauser & Cree, 2020). In a search for antiinflammatory molecules as therapeutic agents, Li et al. developed a recombinant flagellin protein, namely FLaAN/C, from the bacterium Legionella pneumophila and tested its therapeutic efficacy in mice with experimental autoimmune encephalomyelitis (EAE). They reported that FLaAN/C reduced EAE severity and repressed inflammatory cell infiltration and demyelination. FLaAN/C administration also inhibited reactive oxygen species production, upregulated anti-inflammatory cytokines, i.e., CD206, IL-10 and Arginase-1 from microglia/macrophages, and reduced levels of serum pro-inflammatory cytokines, e.g., IL-1β and TNF-α in EAE mice. Furthermore, it was demonstrated that FLaAN/C attenuated EAE by blocking NF-kB nuclear translocation and inhibiting NLRP3-mediated neuronal pyroptosis. This study may lead to the development of a novel therapeutic approach for MS.Herbal medicine using botanical products represents an alternative, effective option for chronic disease care (Kim, 2018). Yang et al. explored the therapeutic potential of celastrol, an active compound extracted from Tripterygium wilfordii, in a rat model of osteoarthritis (OA). In cultured rat chondrocytes, celastrol was found to inhibit matrix degradation and downregulate IL-1β induced expression of inflammatory mediators, i.e., cyclooxygenase-2, IL-6 and prostaglandin E2. Cartilage tissues from OA patients and OA rats were shown to produce a substantially higher level of toll-like receptor 2 (TLR2), an essential player in inflammation. Celastrol treatment resulted in decreased osteophyte formation and bone resorption, and prevented disease progression in OA rats. Examination of mechanism of action demonstrated that celastrol abolished the upregulatory effect of IL-1β on TLR2 in cultured chondrocytes and lowered TLR2 levels in OA rats, suggesting celastrol exerts its anti-inflammatory activity by suppressing TLR2. Vaccarin, a flavonoid glycoside extracted from Vaccariae semen, possesses endothelial protective activity, with the mechanism not being fully understood. Li & Yu reported that vaccarin protected against endothelial inflammatory injury in type 2 diabetes mice by targeting the miR-570-3p/HDAC1 pathway. They discovered that the aorta of diabetic mice had decreased miR-570-3p and elevated HDAC1, both of which were reversed by vaccarin, leading to the alleviation of aortic inflammatory injury.In a clinical study, Hu et al. looked into cellular heterogeneity and immunogenicity of chondrocytes in OA patients. They performed bioinformatics analysis of single-cell RNA sequencing data established using samples from 10 OA patients, and identified subtypes of chondrocytes. According to the gene expression profiles, chondrocytes from OA patients were divided into 8 subgroups: cartilage progenitor cells, effector chondrocytes (ECs), fibrocartilage chondrocytes (FCs), homeostatic chondrocytes, hypertrophic chondrocytes, prehypertrophic chondrocytes, proliferative chondrocytes and regulatory chondrocytes. Functional analyses revealed that these subtypes of chondrocytes played different roles in OA pathogenesis, with ECs and FCs possessing strong immunogenicity and being associated with disease severity. Furthermore, 6 genes highly expressed in ECs and FCs, i.e., CHRDL2, DSC2, COL1A1, COL14A1, IFI27 and THY1 were found to be valuable biomarkers for early diagnosis of OA. Additionally, findings of this study may help drive more personalized care for patients with OA.Several review articles were published in this Topic. Liu et al. addressed the issues in cancer chemo-immunotherapy. The long-term anticancer immune activity of chemotherapy is often restricted by the immunosuppressive tumor microenvironment. These authors presented the current knowledge of immunogenic regulatory function of chemotherapeutic agents (CTAs) and illustrated the strategies to improve CTA immunomodulatory effect. Finally, the authors suggested more research to better understand the mechanisms underlying the immunomodulatory effects of chemotherapy and identify biomarkers that can be applied to guide immunogenic chemotherapy. In another review paper, Xie et al. summarized the studies of traditional Chinese therapy (TCT) in treating sleep disorders, and concluded that the current literature supported that TCT was effective in relieving anxiety, lowering depression and improving sleep by inhibiting inflammatory reactions. They proposed TCT for the management of sleep disorders caused by COVID-19.In summary, this Research Topic primarily offers information on mechanisms of CDs that may help improve early diagnosis and promote precision treatment, as well as exploration of biomolecules for disease treatment that could lead to the development of novel therapeutic agents for CDs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0040.001
Science and technology studies0.0020.002
Scholarly communication0.0070.005
Open science0.0050.001
Research integrity0.0150.018
Insufficient payload (model declined to judge)0.0330.025

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.302
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2023
Admission routes1
Has abstractyes

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