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The Disorder of Circadian Clock Gene and Early Cognitive Dysfunction After General Anesthesia

The Relationship Between the Disorder of Circadian Clock Gene and Early Cognitive Dysfunction After General Anesthesia

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04421872
Enrollment
1000
Registered
2020-06-09
Start date
2020-07-01
Completion date
2023-12-31
Last updated
2020-06-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Circadian Rhythm Disorders, Clock Gene, Exosomes, General Anesthesia, Postoperative Delirium

Keywords

Postoperative Delirium, general anesthesia, Exosomes, clock gene, Circadian Rhythm Disorders

Brief summary

Postoperative cognitive dysfunction (POCD) is a common postoperative complication in patients aged 65 and over, which refers to cognitive function changes such as memory decline and attention deficit after anesthesia and surgery. In severe cases, personality changes and social behavior decline may also occur, resulting in irreversible cognitive impairment.Previous studies have suggested that cognitive dysfunction after general anesthesia is linked to a genetic disorder of the body clock.Exosomes are cellular forms of cellular microvesicles containing complex RNA and proteins.Exosomes can mediate the expression of genes in the late transcriptional period of the clock system, and directly or indirectly participate in the negative regulation of rhythm expression of minute control genes, playing an important role in the intercellular circadian rhythm information output pathway.Rhythm disorders in the core biological clock system of urinary exosomes and the clock control genes related to kidney can early indicate circadian rhythm changes in the core biological clock system.The sorting and detection of urinary exosome clock information materials in patients has the advantages of easy access, continuous monitoring, early diagnosis and less damage, making urinary exosome a biomarker for the diagnosis and monitoring of circadian rhythm of a good kidney biological clock system.

Interventions

OTHERreceiving general anesthesia

patients receiving surgery under general anesthesia

Sponsors

Shengjing Hospital
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
Yes

Inclusion criteria

* patients whose age ≥ 18 years old and \<90 years of preoperative sleep disorder; * Primary cancer patients who had not received any radiotherapy or chemotherapy before surgery; * Surgeries expected to be performed under general anesthesia after ≧3 hours

Exclusion criteria

* a history of schizophrenia, epilepsy, Parkinson's disease, or myasthenia gravis; * inability to communicate due to coma, severe dementia, language impairment or serious illness; * critically ill (preoperative ASA (American Society of Anesthesiologists)\>III), Childe-Pugh C or severe renal insufficiency (preoperative dialysis); * Neurosurgery.

Design outcomes

Primary

MeasureTime frameDescription
Neurocognitive testingone day before the surgeryNeurocognitive testing was performed preoperatively and 6 weeks postoperatively, followed up 1 and 3 years postoperatively.
Core clock gene and kidney clock control gene detectionat the end of surgeryThe urine exosomes were extracted by overspeed centrifugation method. The mRNA ( messenger ribonucleic acid) expression results of the core heart clock gene and the renal bell control genes in the urinary exosomes were detected by timing and quantitative PCR(Polymerase Chain Reaction) and the rhythm was analyzed
Blood samples and Apolipoprotein E genotypingat the end of surgeryperipheral blood was collected from each patient for apolipoprotein E genotyping.

Countries

China

Contacts

Primary ContactJunchao Zhu
zhujunchao1@hotmail.com18940257257

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026