bioRxiv Science⌕ Search

Biology subjects

Cho, C.-H.

Publications and source records attributed to Cho, C.-H..

2 recordsLinked to original sources

Efficacy of foramen magnum decompression with and without cranioplasty in a rat model of Chiari-like malformation

In veterinary medicine, canine Chiari-like malformation (CLM) disease is surgically managed through foramen magnum decompression (FMD) with cranioplasty. This study aimed to assess the efficacy of cranioplasty surgery by establishing a rat CLM model and then applying FMD with and without cranioplasty and comparing the outcomes. Twenty-four 8-week-old male Sprague-Dawley rats underwent surgery to induce CLM by reducing the caudal cranial fossa volume, mimicking cerebellum herniation. The rats were randomly and equally assigned to three groups: a control group (induced CLM), an FO group (induced CLM rats undergoing FMD only), and a CR group (induced CLM rats undergoing FMD with cranioplasty). At 11 weeks of age, the FO and CR groups underwent FMD surgery. Four weeks later, magnetic resonance imaging (MRI) was used to measure the cisterna magna volume to assess surgical outcomes. Post-surgery MRI revealed that the mean cisterna magna volume was 23.82 {+/-} 1.70, 34.88 {+/-} 4.39, and 29.48 {+/-} 2.20 mm3 in the control, FO, and CR groups, respectively. There was a significant increase in the cisterna magna volume in the FO and CR groups compared to that in the control group (p < 0.05), with the FO group showing a significantly greater increase than the CR group (p < 0.05). These findings suggest that FMD surgery alone is more effective at restoring the cisterna magna volume than FMD surgery with cranioplasty. FMD surgery alone resulted in a greater increase in cisterna magna volume than FMD with cranioplasty in our rat CLM model, suggesting that FMD alone may be more effective to treat canine CLM. These findings challenge the typical approach of combining FMD with cranioplasty in treating canine CLM disease and underscore the need for further investigation into optimizing surgical techniques for CLM.

zoology↗

Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women

Distinguishing ovarian cancer (OC) from other gynecological malignancies remains a critical unmet medical need with significant implications for patient survival. However, non-specific symptoms along with our lack of understanding of OC pathogenesis hinder its diagnosis, preventing many women from receiving appropriate medical assistance. Accumulating evidence suggests a link between OC and deregulated lipid metabolism. Most studies, however, are limited by small sample size, particularly for early-stage cases. Furthermore, racial/ethnic differences in OC survival and incidence have been reported, yet most of the studies consist largely of non-Hispanic white women or women with European ancestry. Studies of more diverse racial/ethnic populations are needed to make OC diagnosis and prevention more inclusive. Here, we profiled the serum lipidome of 208 OC, including 93 patients with early-stage OC, and 117 non-OC (other gynecological malignancies) patients of Korean descent. Serum samples were analyzed with a high-coverage liquid chromatography high-resolution mass spectrometry platform, and lipidome alterations were investigated via statistical and machine learning approaches. Results show that lipidome alterations unique to OC were present in Korean women as early as when the cancer is localized, and those changes increase in magnitude as the diseases progresses. Analysis of relative lipid abundances revealed specific patterns for various lipid classes, with most classes showing decreased abundance in OC in comparison to other gynecological diseases. Machine learning methods selected a panel of 17 lipids that discriminated OC from non-OC cases with an AUC of 0.85 for an independent test set. This study provides a systemic analysis of lipidome alterations in human OC, specifically in Korean women, emphasizing the potential of circulating lipids in distinguishing OC from non-OC conditions.

cancer biology↗