Editorial: Therapeutic relevance and mechanisms of neuro-immune communication in brain injury DOI Creative Commons
Pengyue Zhang, Yulong Bai, Feng Zhang

et al.

Frontiers in Cellular Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Aug. 1, 2023

EDITORIAL article Front. Cell. Neurosci., 01 August 2023Sec. Cellular Neuropathology Volume 17 - 2023 | https://doi.org/10.3389/fncel.2023.1209083

Language: Английский

The spleen in ischaemic heart disease DOI
Gerd Heusch, Petra Kleinbongard

Nature Reviews Cardiology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

2

CLINICAL PHENOTYPES OF SEPSIS-ASSOCIATED ENCEPHALOPATHY: A RETROSPECTIVE COHORT STUDY DOI Creative Commons
Xin Lü,

Mubing Qin,

Joseph Harold Walline

et al.

Shock, Journal Year: 2023, Volume and Issue: 59(4), P. 583 - 590

Published: Feb. 23, 2023

Background: Sepsis-associated encephalopathy (SAE) is a dysfunction of the central nervous system experienced during sepsis with variable clinical and pathophysiologic features. We sought to identify distinct SAE phenotypes in relation outcomes. Methods: The Medical Information Mart for Intensive Care IV (MIMIC-IV) database eICU were used conduct retrospective cohort study. Adult patients included was defined as having Glasgow Coma Scale (GCS) score ˂15 or delirium. following our as: ischemic-hypoxic, metabolic, mixed (ischemic-hypoxic metabolic), unclassified. primary outcome in-hospital mortality. Results: study enrolled 4,120 patients, 2,239 from MIMIC-IV (including 1,489 SAE, 67%), 1,881 (1,291, 69%). For cohort, 2,780 total (median age, 67 years; interquartile range, 56-76.8; 1,589 (57%) male; median GCS 12 [8-14]; Sequential Organ Failure Assessment 6 [4-9]). phenotype distributions between cohorts follows (39% vs. 35% P = 0.043; 38% 40% 0.239; 15% mixed, 0.972; unclassified, 0.471). overall mortality unclassified 33.9% (95% confidence interval, 0.3-0.37), 28.4% (0.26-0.31), 41.5% (0.37-0.46), 14.2% (0.12-0.16), respectively. In multivariable logistic analysis, associated highest risk after adjusting sex, GCS, modified (adjusted odds ratio, 2.11; 95% 1.67-2.67; < 0.001). Conclusions: Four had different worst Further understanding these may improve trial design targeted management.

Language: Английский

Citations

20

Sepsis-associated encephalopathy: From pathophysiology to clinical management DOI

Yixiao Hong,

Peiling Chen, Jingqi Gao

et al.

International Immunopharmacology, Journal Year: 2023, Volume and Issue: 124, P. 110800 - 110800

Published: Aug. 22, 2023

Language: Английский

Citations

19

Organ crosstalk and dysfunction in sepsis DOI Creative Commons
André Borges, Luís Bento

Annals of Intensive Care, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 19, 2024

Language: Английский

Citations

7

Stroke‐Induced Renal Dysfunction: Underlying Mechanisms and Challenges of the Brain–Kidney Axis DOI Creative Commons
Xi Chen, Daheng Yang, Heng Zhao

et al.

CNS Neuroscience & Therapeutics, Journal Year: 2024, Volume and Issue: 30(11)

Published: Nov. 1, 2024

ABSTRACT Stroke, a major neurological disorder and leading cause of disability death, often inflicts damage upon other organs, particularly the kidneys. While chronic kidney disease (CKD) has long been established as significant risk factor for cerebrovascular disease, stroke can induce renal dysfunction, manifesting acute injury (AKI) or CKD. Mounting clinical basic research evidence supports existence bidirectional brain‐kidney crosstalk following stroke, implicating specific mechanisms pathways in stroke‐related dysfunction. This review analyzes pertinent experimental studies, elucidating underlying this cerebro‐renal interaction stroke. Additionally, we summarize current landscape investigating interplay discuss potential challenges future. By enhancing our understanding scientific underpinnings crosstalk, paves way improved treatment strategies outcomes patients. Recognizing intricate between brain kidneys after holds profound implications.

Language: Английский

Citations

5

Exosomes: The endogenous nanomaterials packed with potential for diagnosis and treatment of neurologic disorders DOI
Xuelin Tang, Yuxuan He,

Jinchi Liu

et al.

Colloids and Surfaces B Biointerfaces, Journal Year: 2024, Volume and Issue: 239, P. 113938 - 113938

Published: May 3, 2024

Language: Английский

Citations

4

Multi-omics approaches reveal the therapeutic mechanism of Naoxintong Capsule against ischemic stroke DOI
Yu Li, Jing Zhang,

Yuxin Lei

et al.

Journal of Ethnopharmacology, Journal Year: 2025, Volume and Issue: unknown, P. 119435 - 119435

Published: Feb. 1, 2025

Language: Английский

Citations

0

Multiomics analysis demonstrated a strong correlation between lipid-mediated chronic kidney disease and stroke: Potential benefits of affected patient cohorts DOI Creative Commons
Yansong Liu,

J. Zhang,

Jiayue Han

et al.

Journal of Stroke and Cerebrovascular Diseases, Journal Year: 2025, Volume and Issue: unknown, P. 108285 - 108285

Published: March 1, 2025

ObjectivePatients with chronic kidney disease (CKD) exhibit a disproportionately elevated risk of stroke, frequently compounded by renal impairment. Therapeutic strategies for stroke based on Traditional Chinese Medicine's 'kidney–brain axis' theory demonstrate clinical efficacy, indicating that there may be potential association between and which needs further exploration verification.MethodsIn this study, databases such as GEO, NHANES, GWAS were used to collect data related CKD stroke. GEO gene enrichment analysis was explore possible mediating factors NHANES verify the results. Mendelian randomization confirm causal relationship effect in these two diseases.ResultsCross-gene transcription factor revealed lipid-related pathways have Logistic regression changes LDL-C, HDL-C, TC, TG can affect occurrence determine verified effects lipid factors, TG, diseases. Our findings highlight relevance bridging By integrating predictive biomarkers multi-level diagnostics, study paves way AI-driven precision medicine prevention. Specifically, machine learning approaches could enhance stratification high-risk cohorts, enabling tailored interventions lipid-lowering therapies personalized monitoring protocols. These align emerging paradigms healthcare benefits population-specific management.ConclusionThis provides new insights into interactive scientific basis process syndrome differentiation treatment under guidance "kidney–brain correlation". Moreover, influence metabolism diseases investigated, deepened researchers' understanding mechanism

Language: Английский

Citations

0

Distinct Impact of Inflammatory Versus Psychophysiological Stress on Brain‐Wide Activation of Melanocortin Receptor 4–Expressing Neurons DOI Creative Commons

Myunghyun Cheon,

Woonhee Kim,

ChiHye Chung

et al.

The FASEB Journal, Journal Year: 2025, Volume and Issue: 39(7)

Published: April 9, 2025

ABSTRACT Central melanocortin signaling plays a critical role in maintaining energy homeostasis by regulating intake and expenditure, with impairment of this system closely related to metabolic diseases such as obesity. Among receptor subtypes, 4 (MC4R) is the primary mediator these effects within central nervous system. Accumulating evidence suggests that MC4R contributes stress‐induced disruptions feeding behavior homeostasis. However, precise neural mechanisms which stress alters activity remain incompletely understood. In study, we compared brain‐wide c‐Fos expression patterns induced two distinct paradigms: lipopolysaccharide (LPS)‐induced inflammatory restraint male mice, further examined involvement MC4R‐expressing (MC4R + ) neurons conditions. We found both stressors elicited activation brain areas associated responses well regulation. Notably, LPS‐induced stress, but not selectively activated amygdala (CeA) oval nucleus bed stria terminalis (ovBNST). These results highlight recruitment during acute offering novel insights into imbalance depending on stressor types.

Language: Английский

Citations

0

Brain-Heart Axis and the Inflammatory Response: Connecting Stroke and Cardiac Dysfunction DOI Creative Commons
Xiaosheng Chen,

Jiajie Gu,

Xiaojia Zhang

et al.

Cardiology, Journal Year: 2024, Volume and Issue: 149(4), P. 369 - 382

Published: Jan. 1, 2024

In recent years, the mechanistic interaction between brain and heart has been explored in detail, which explains effects of injuries on those cardiac dysfunction brain. Brain are predominant cause post-stroke deaths, is second leading mortality after stroke onset.

Language: Английский

Citations

3