Intracellular recordings of oscillatory firing (bursting activity) were obtained from Purkinje cells (PCs) in rat cerebellar slices. Apamin inhibited post-burst hyperpolarizations (PBHs) progressively and finally terminated oscillatory firing activity of PCs. Apamin did not affect the amplitude or duration of the after-hyperpolarization (AHP) between spikes within the burst. In the voltage clamp mode, apamin shifted the whole-cell, quasi-steady state I/V relationship in an inward direction and abolished the zero slope resistance (ZSR) region by blocking outward current. Nickel (Ni2+) terminated oscillatory activity and also abolished the ZSR region. However, Ni2+ did not have progressive blocking action on the post-burst hyperpolarization before it blocked oscillatory activity. Ni2+ blocked an inward current at potentials positive to approximately -65 mV, which was responsible for the ZSR region and outward current at more negative potentials. These data indicated that oscillatory activity of PCs is sustained by a balance between a slow Ni2+ -sensitive inward current and an apamin-sensitive outward current in the region of ZSR of the whole-cell I/V curve.
Animals ; Apamin* ; Fires ; Nickel* ; Purkinje Cells* ; Rats

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

PURPOSE: Recently vacA s1 genotype of Helicobacter pylori was known to be associated with enhanced inflammation and peptic ulceration. To evaluate the association of the vacA s1 genotype with enhanced inflammation and peptic ulceration in children, we performed a polymerase chain reaction(PCR) for vacA s1 genotype. METHODS: Twenty-seven CLO test-positive children were enrolled. They also revealed histological detection of bacteria and positive ureC gene by PCR in gastric biopsy specimens. The vacA s1, s2 and cagA genotypes were assayed by PCR in gastric biopsy specimens. RESULTS: There were no association between vacA s1 genotype with peptic ulceration, severe inflammatory reaction, histological density of H. pylori, and formation of lymphoid follicle. None of our patients showed intestinal metaplasia. The vacA s1 genotype with or without cagA gene was not associated with peptic ulceration and enhanced inflammation. CONCLUSION: This study suggested that vacA s1 genotype of H. pylori was not associated with peptic ulceration and enhanced inflammation in Korean children.
Bacteria ; Biopsy ; Child* ; Genotype* ; Helicobacter pylori* ; Helicobacter* ; Humans ; Inflammation ; Metaplasia ; Peptic Ulcer ; Polymerase Chain Reaction

OBJECTIVE: To present the incidence and management of dural tears and cerebrospinal fluid leakage during corrective osteotomy [Pedicle Subtraction Osteotomy (PSO) or Smith-Petersen Osteotomy (SPO)] for ankylosing spondylitis with kyphotic deformity. METHODS: A retrospective study was performed for ankylosing spondylitis patients with fixed sagittal imbalance, who had undergone corrective osteotomy (PSO or SPO) at lumbar level. 87 patients were included in this study. 55 patients underwent PSO, 32 patients underwent SPO. The mean age of the patients at the time of surgery was 41.7 years (21-70 years). Of the 87 patients, 15 patients had intraoperative dural tears. RESULTS: The overall incidence of dural tears was 17.2%. The incidence of dural tears during PSO was 20.0%, SPO was 12.5%. There was significant difference in the incidence of dural tears based on surgical procedures (PSO vs. SPO) (p<0.05). The dural tears ranged in size from 12 to 221 mm2. A nine of 15 patients had the relatively small dural tears, underwent direct repair via watertight closure. The remaining 6 patients had the large dural tears, consequently direct repair was impossible. The large dural tears were repaired with an on-lay graft of muscle, fascia or fat harvested from the adjacent operation site. All patients had a successful repair with no patient requiring reoperation for the cerebrospinal fluid leak. CONCLUSION: The overall incidence of dural tears during PSO or SPO for ankylosing spondylitis with kyphotic deformity was 17.2%. The risk factor of dural tears was complexity of surgery. All dural tears were repaired primarily using direct suture, muscle, fascia or fat graft.
Cerebrospinal Fluid* ; Congenital Abnormalities* ; Fascia ; Humans ; Incidence* ; Osteotomy* ; Reoperation ; Retrospective Studies ; Risk Factors ; Spondylitis, Ankylosing* ; Sutures ; Transplants

Lipoleiomyoma is an uncommon neoplasm of the uterus, composed of smooth muscles intermixed with mature adipocytes. These tumors are considered a benign variant of uterine leiomyomas. Herein, we report six cases of lipoleiomyoma experienced in our institution from January 2005 to March 2015. The patients ranged in age from 45 to 70 years; the etiology may be related to estrogen deficiency occurring after menopausal transition. Except for one lipoleiomyoma in the broad ligament, all others were found in the uterine corpus. The presenting symptoms were nonspecific, and most cases were incidentally diagnosed during surgery for other reasons. We performed preoperative imaging studies, including abdominal and pelvic computed tomography and magnetic resonance imaging. Preoperatively, four patients were diagnosed as having a pelvic mass and one patient was diagnosed as having a right ovarian mature teratoma. In one case, we found a gynecologic malignancy (cervical cancer 1A1). Histologically, there was no gross or microscopic contiguity between the lipoleiomyoma and the malignancy. Lipoleiomyomas seem to have a benign clinical course. In our study, there were no recurrences of or deaths attributed to the lipoleiomyomas during a mean follow-up period of 16.17 +/- 23.80 months.
Adipocytes ; Broad Ligament ; Estrogens ; Female ; Follow-Up Studies ; Humans ; Leiomyoma ; Magnetic Resonance Imaging ; Muscle, Smooth ; Myofibroma ; Perimenopause ; Postmenopause ; Recurrence ; Teratoma ; Uterus

The management of lower cervical fractures in patients with ankylosing spondylitis (AS) differs from normal cervical fractures. Patients with AS are highly susceptible to extensive neurologic injuries and spinal deformities after cervical fractures from even minor traumatic forces. These injuries are uniquely complex, require careful imaging assessment, and aggressive surgical management to optimize spinal stability and functional outcomes.
Congenital Abnormalities ; Humans ; Spine ; Spondylitis, Ankylosing

There has been a mistake, claimed and confirmed by both first and corresponding author of Vol. 48, 2010, p.66-69 issue, that corresponding author should have been Dae-Jean Jo, M.D. instead of Eun-Min Seo, M.D. who was also the first author of this issue. It was found that such error was made during the process of final submission of the manuscript and editorial board of JKNS had investigated and had found out such claimed error was relevant and thus permitted for the correction and announcement of erratum in this issue.

OBJECTIVE: To present the accuracy and safety of cervical pedicle screw insertion using the technique with direct exposure of the pedicle by laminoforaminotomy. METHODS: We retrospectively reviewed 12 consecutive patients. A total of 104 subaxial cervical pedicle screws in 12 patients had been inserted. We also assessed the clinical and radiological outcomes and analyzed the direction and grade of pedicle perforation (grade 0: no perforation, 1: <25%, 2: 20% to 50%, 3: >50% of screw diameter) on the postoperative vascular-enhanced computed tomography scans. Grade 2 and 3 were considered as incorrect position. RESULTS: The correct position was found in 95 screws (91.3%); grade 0-75 screws, grade 1-20 screws and the incorrect position in 9 screws (8.7%); grade 2-6 screws, grade 3-3 screws. There was no neurovascular complication related with cervical pedicle screw insertion. CONCLUSION: This technique (technique with direct exposure of the pedicle by laminoforaminotomy) could be considered relatively safe and easy method to insert cervical pedicle screw.
Humans ; Retrospective Studies