Background: Cerebral edema is a well-recognized and potentially fatal complication of acute liver failure (ALF). The effectiveness of treatments that address intracranial hypertension is generally assessed by measuring intracranial pressure (ICP). The aim of this study was to determine the role of cerebral microdialysis in monitoring the efficacy of fractionated plasma separation and adsorption (FPSA) treatment for ALF. We hypothesized that in ALF cerebral microdialysis reflects the benefits of FPSA treatment on cerebral edema before ICP.

Methods: A surgical resection model of ALF was used in 21 pigs. We measured plasma ammonia concentration, brain concentrations of glucose, lactate, pyruvate, glutamate and glutamine, and ICP. Animals were randomized into three groups: in one group eight animals received 6 hours of FPSA treatment 2 hours after induction of ALF; in another group 10 animals received supportive treatment for ALF only; and in the final group three underwent sham surgery.

Results: The ICP was significantly higher in the ALF group than in the FPSA group 9 hours after surgery. The lactate/pyruvate (L/P) ratio was significantly lower in the FPSA group than the ALF group 5 hours after surgery, before any significant difference in ICP was detected. Indeed, significant changes in the L/P ratio could be observed within 1 hour of treatment. Glutamine levels were significantly lower in the FPSA group than the ALF group between 6 hours and 10 hours after surgery.

Conclusions: Brain lactate/pyruvate ratio and concentration of glutamine measured by cerebral microdialysis reflected the beneficial effects of FPSA treatment on cerebral metabolism more precisely and rapidly than ICP in pigs with fulminant ALF. The role of glutamine as a marker of the efficacy of FPSA treatment for ALF appears promising, but needs further evaluation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691596PMC
http://dx.doi.org/10.1186/1471-230X-13-98DOI Listing

Publication Analysis

Top Keywords

fpsa treatment
20
cerebral microdialysis
16
alf group
16
treatment alf
12
fpsa group
12
group hours
12
alf
11
group
9
microdialysis reflects
8
fractionated plasma
8

Similar Publications

Background: To assess the clinical utility of PCA3 in the diagnostic accuracy, the correlation between PCA3 and biopsy or pathological characteristics and the performance of PCA3 to reduce the unnecessary biopsies in Chinese population.

Methods: A prospective study including patients with indication of prostate biopsies from 4 centers was conducted. All patients underwent PCA3 urine tests and prostate biopsies.

View Article and Find Full Text PDF

Aim: Prostate cancer (PCa) is a common malignant tumor in men. This study aimed to explore the predictive value of serum biomarkers combined with ultrasound parameters for postoperative Gleason grading in PCa.

Methods: This study included 65 PCa patients who underwent transurethral resection of the prostate in our hospital from January 2021 to December 2023.

View Article and Find Full Text PDF

Introduction: The use of Magnetic Resonance Imaging (MRI) and radiomics improves the management of Prostate Cancer (PCa) and helps in differentiating between clinically insignificant and significant PCa. This study has explored the diagnostic value of radiomic analysis based on functional parameter maps from monoexponential and diffusion kurtosis models in MRI for differentiating between clinically insignificant and significant PCa.

Methods: In total, 105 PCa cases, including 38 clinically insignificant and 67 clinically significant PCa cases, were retrospectively analyzed.

View Article and Find Full Text PDF

Machine learning discrimination of Gleason scores below GG3 and above GG4 for HSPC patients diagnosis.

Sci Rep

October 2024

Department of Urology I, The Third Affiliated Hospital of Kunming Medical University (Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, Cancer Center of Yunnan Province), 519 Kunzhou Road, Kunming, 650199, Yunnan, China.

Article Synopsis
  • This study develops machine learning models to analyze Gleason scores in prostate cancer by using data from 526 hormone-sensitive prostate cancer patients at Yunnan Cancer Hospital.
  • Seven different machine learning methods, including Random Forest and XGBoost, were employed and evaluated based on various metrics such as accuracy and area under the curve, with Random Forest performing the best.
  • The study highlights important clinical features such as bone metastases and prostatic volume, suggesting that ensemble learning techniques can effectively identify significant predictors in prostate cancer outcomes.
View Article and Find Full Text PDF

Cell calcification reverses the chemoresistance of cancer cells via the conversion of glycolipid metabolism.

Biomaterials

March 2025

Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China; Institute of Translational Medicine, Zhejiang University, Hangzhou, 310029, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou, 310009, China; Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, Hangzhou, 310029, China; Cancer Center, Zhejiang University, Hangzhou, 310029, China. Electronic address:

Article Synopsis
  • Drug resistance in cancer chemotherapy is a major issue, with cancer cells often shifting to fatty acid metabolism to evade treatment.
  • The researchers created a drug called folate-polySia (FpSA) that induces microcalcification in cervical cancer cells resistant to cisplatin, leading to decreased fatty acid uptake and increased glycolysis.
  • The combination of cisplatin and FpSA not only inhibited tumor growth but also improved survival rates in mice, suggesting a new strategy to tackle chemotherapy-resistant tumors by reprogramming cancer cell metabolism.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!