Background: Indicators for long-term monitor of the progress of hepatic diseases are of great clinical importance. Since elevated cathepsin was observed in liver diseases, the aim of this study is to investigate the involvement of cystatin C, a very potent inhibitor of cathepsin and a recently introduced marker for renal function, and to see the applicability of serum cystatin C being a convenient marker for the progression of liver diseases.
Methods: One hundred eighty consecutive patients with chronic liver disease of various severities and 45 healthy controls were recruited to determine their serum cystatin C concentrations by N Latex Cystatin C kit, as well as certain relevant clinical values, including alanine transaminase (ALT), aspartate transaminase (AST) and AFP.
Results: Average serum cystatin C concentration of patients with hepatic diseases was significantly higher than that of control (0.0902+/-0.0025 mg/dl vs. 0.067+/-0.007 mg/dl; p<0.001), and a linear regression analysis has revealed a direct relation between cystatin C and the severity of liver diseases (Y=1.172+5.492X, R(2)=0.088, p<0.001).
Conclusion: This study suggested that cystatin C may be an applicable monitoring marker for monitoring liver functions and progression of liver fibrosis.
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http://dx.doi.org/10.1016/j.cccn.2003.11.011 | DOI Listing |
Eur J Med Chem
January 2025
Department of Respiratory and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, Institute of Respiratory Healthand, Department of Frontiers Science Center for Disease-related Molecular Network, Core Facilities, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. Electronic address:
NEK2, a serine/threonine protein kinase, is integral to mitotic events such as centrosome duplication and separation, microtubule stabilization, spindle assembly checkpoint, and kinetochore attachment. However, NEK2 overexpression leads to centrosome amplification and chromosomal instability, which are significantly associated with various malignancies, including liver, breast, and non-small cell lung cancer. This overexpression could facilitate tumor development and confer resistance to therapy by promoting aberrant cell division and centrosome amplification.
View Article and Find Full Text PDFJ Clin Psychiatry
January 2025
Division of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
We compared substance use disorder (SUD) prevalence among adult inflammatory bowel disease (IBD) hospitalizations with non-IBD controls from the 2016-2018 National Inpatient Sample, assessing correlations with demographics, socioeconomic status, geographic regions, depression, and anxiety. The primary aim focused on SUD, defined as substance abuse or dependence (: F10-F19) excluding unspecified use or remission, among hospitalizations documenting IBD (Crohn's disease or ulcerative colitis; : K50-51) as one admitting diagnosis (IBD-D). The prevalence of SUD among hospitalizations with and without IBD was compared.
View Article and Find Full Text PDFJ Infect Dev Ctries
December 2024
Department of Paediatrics, University of Calabar, Calabar, Cross River State, Nigeria.
Introduction: Globally, approximately 2.7 million and 2.3 million people living with HIV are co-infected with hepatitis B and C virus, respectively.
View Article and Find Full Text PDFGenomic and evolutionary analysis of epidemic porcine hepatitis E virus (HEV) in the Tibetan Plateau was performed. Faecal samples were collected from 216 Tibetan pigs and 78 Tibetan Yorkshire (Large White) and 53 tissue samples from Yorkshire from the Linzhi City slaughterhouse. Total RNA was extracted from faeces and fragments of HEV open reading frame 2 (ORF2) detected by reverse transcription and nested polymerase chain reaction (RT-nPCR) and cloned.
View Article and Find Full Text PDFOncologist
January 2025
Department of Hepatic Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Background: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a critical issue that negatively affects patient prognosis. Machine learning models have shown great potential in predicting clinical outcomes; however, the optimal model for this specific problem remains unclear.
Methods: Clinical data were collected and analyzed from 522 patients with ruptured HCC who underwent surgery at 7 different medical centers.
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