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Case Report Open Access
Drashya Shah, Jawad Turfa, Efsevia Vaikani, Shalini Chhabra, Devika Rao
Published online June 11, 2025
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Journal of Translational Gastroenterology. doi:10.14218/JTG.2025.00016
Abstract
Insulinoma is a neuroendocrine tumor originating in the pancreas that secretes excess amounts of insulin, leading to severe hypoglycemia. The clinical presentation of hypoglycemia [...] Read more.

Insulinoma is a neuroendocrine tumor originating in the pancreas that secretes excess amounts of insulin, leading to severe hypoglycemia. The clinical presentation of hypoglycemia is classically described by Whipple’s Triad. Due to the rarity of this diagnosis, it can often be mistaken for other etiologies with similar presentations. In this paper, we present the case of a woman in her 70s with metastatic insulinoma involving the liver, who was initially diagnosed with an insulin-like growth factor 2-secreting hepatocellular carcinoma. Biochemical and immunohistochemical analyses were instrumental in distinguishing between these two etiologies.

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Original Article Open Access
Momina Ahsan, Fareeha Adnan, Moiz Ahmed Khan, Nazia Khursheed
Published online March 25, 2025
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Journal of Exploratory Research in Pharmacology. doi:10.14218/JERP.2025.00001
Abstract
Escalating antimicrobial resistance is a global threat, emphasizing the need to explore alternative treatment options. Hence, we aimed to explore the in-vitro activity of ceftazidime-avibactam [...] Read more.

Escalating antimicrobial resistance is a global threat, emphasizing the need to explore alternative treatment options. Hence, we aimed to explore the in-vitro activity of ceftazidime-avibactam (CAZ-AVI) in clinical isolates of carbapenem-resistant gram-negative bacteria.

This was an observational, cross-sectional study conducted at the Microbiology Department of Indus Hospital, Karachi, Pakistan, from January 2023 to October 2024. Carbapenem-resistant gram-negative rods isolated from clinical specimens received from the outpatient, emergency, and inpatient departments were included. Consecutive, non-probability sampling was employed for the collection of isolates. Identification of the organisms was confirmed using API® ID strips, and antimicrobial susceptibility for carbapenems and CAZ-AVI was determined via the Kirby-Bauer disc diffusion method.

A total of 158 bacterial isolates were characterized as carbapenem-resistant. Of these, 92 (58%) were Enterobacterales, and 66 (42%) were Pseudomonas aeruginosa. CAZ-AVI was susceptible in 17 (11%) of the isolates, of which four (24%) were Klebsiella spp. and Escherichia coli each, and nine (52%) were P. aeruginosa. CAZ-AVI-susceptible strains were predominant among patients aged 26–50 years (n = 6; 35%), most of whom were females (n = 10; 59%) and inpatients (n = 8; 47%). Clinical samples from patients with urinary tract infections grew the most CAZ-AVI-susceptible strains (n = 9; 53%).

Our study demonstrated low CAZ-AVI susceptibility in our carbapenem-resistant gram-negative bacterial strains. Understanding regional antimicrobial patterns in multidrug-resistant bacteria is crucial for the effective use of CAZ-AVI, along with the strict implementation of strategies for controlling antimicrobial resistance.

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Original Article Open Access
Mingyan Ji, Yun Chen, Yifan Ma, Dongping Li, Jin Ren, Hongyue Jiang, Sinuo Chen, Xiaoqing Zeng, Hong Gao
Published online November 22, 2024
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Journal of Clinical and Translational Hepatology. doi:10.14218/JCTH.2024.00233
Abstract
Pyrrolizidine alkaloids (PAs), widely distributed in plants, are known to induce liver failure. Hepatic platelet accumulation has been reported during the progression of PA-induced [...] Read more.

Pyrrolizidine alkaloids (PAs), widely distributed in plants, are known to induce liver failure. Hepatic platelet accumulation has been reported during the progression of PA-induced liver injury (PA-ILI). This study aimed to investigate the mechanisms underlying platelet accumulation in PA-ILI.

Cases of PA-ILI, non-PA-ILI, and control subjects were collected from patients hospitalized at Zhongshan Hospital, Fudan University (Shanghai, China) between 2012 and 2019. A mouse model of PA-ILI was established using monocrotaline administration. Liver RNA sequencing was performed, and gene interactions were analyzed using the Search Tool for the Retrieval of Interacting Genes/Proteins online database. Low-molecular-weight heparin and recombinant a disintegrin and metalloproteinase with a thrombospondin type I motif member 13 (ADAMTS13) were applied. The necrotic liver area, hepatic platelet accumulation, and von Willebrand factor (VWF) deposition were examined using hematoxylin and eosin staining and immunofluorescence assay.

Hepatic platelet accumulation, necrotic area expansion, and increased VWF expression were observed in both PA-ILI patients and mice. The Search Tool for the Retrieval of Interacting Genes/Proteins database indicated that ADAMTS13 regulates VWF expression and was differentially expressed in the livers of PA-ILI mice. Plasma and hepatic ADAMTS13 levels were significantly downregulated in both PA-ILI patients and mice. Systemic administration of recombinant ADAMTS13 decreased hepatic platelet accumulation, downregulated VWF expression, and mitigated mouse hepatic necrosis.

Hepatic platelet accumulation in PA-ILI was confirmed in both patients and mice. Deficiency of ADAMTS13 plays a critical role in platelet accumulation in PA-ILI, suggesting that ADAMTS13 could be a potential therapeutic target for this condition.

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Review Article Open Access
Yanong Li, Yawei Liu, Zewen Zhang, Tao Wan, Hailong Liu
Published online June 17, 2025
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Neurosurgical Subspecialties. doi:10.14218/NSSS.2025.00004
Abstract
Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is essential for non-invasively investigating brain function. However, conventional fMRI methods [...] Read more.

Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is essential for non-invasively investigating brain function. However, conventional fMRI methods are limited by low spatial and temporal resolution. This narrative review evaluates recent advancements in deep learning techniques for high-resolution BOLD-fMRI reconstruction, focusing on super-resolution, segmentation, and image registration. A comprehensive literature search was conducted across PubMed, IEEE, Scopus, and Web of Science databases for the period 2000–2023. Studies employing deep learning methods, including convolutional neural networks, transformer-based models, and generative adversarial networks for super-resolution, segmentation, and registration of BOLD-fMRI, were included. Deep learning approaches demonstrated significant improvements in spatial resolution, segmentation accuracy, and registration robustness. Convolutional neural network-based models, particularly generative adversarial networks, notably improved image reconstruction quality and detail preservation. Preliminary studies targeting specific brain regions such as the cerebellum and hippocampus showed promise; however, systematic evaluations across broader brain areas and large-scale clinical validations remain limited. While deep learning techniques have led to substantial advancements in high-resolution BOLD-fMRI reconstruction, future research should focus on standardized protocols, multi-center validation, and improving computational efficiency and model generalization to enhance clinical utility.

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Review Article Open Access
Weiqiang Zhao
Published online December 25, 2024
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Journal of Clinical and Translational Pathology. doi:10.14218/JCTP.2024.00042
Abstract
The number of molecular abnormalities identified in hematopoietic and lymphocytic neoplasms has grown exponentially over the past decades. Patients with genetic biomarker-matched [...] Read more.

The number of molecular abnormalities identified in hematopoietic and lymphocytic neoplasms has grown exponentially over the past decades. Patients with genetic biomarker-matched targeted therapies have experienced significantly improved survival rates. Modern molecular laboratories, equipped with advanced technologies such as next-generation sequencing, can simultaneously test hundreds of genes and thousands of hotspots in a single run with multiple samples analyzed side by side. Bioinformatics tools provide seamless, evidence-based information to determine whether the detected mutations are benign or pathogenic, somatic or germline, druggable or diagnostic. This review is divided into five sections, each aiming to provide a comprehensive overview of the genetic landscape of myeloid and lymphocytic neoplasms. It highlights the challenges and proposes potential solutions to facilitate interpretation and maximize the clinical utility of molecular profiling results.

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Mini Review Open Access
Hongyan Liu, Hao Ai, Ying Liu
Published online March 30, 2025
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Oncology Advances. doi:10.14218/OnA.2024.00034
Abstract
Endometrial cancer (EC) is one of the most prevalent malignancies of the female reproductive system and ranks among the three primary types of gynecological cancers. Recent trends [...] Read more.

Endometrial cancer (EC) is one of the most prevalent malignancies of the female reproductive system and ranks among the three primary types of gynecological cancers. Recent trends indicate a rising incidence of EC in younger patients, highlighting the urgent need for effective early screening strategies. This review examines the challenges associated with early diagnosis and screening, including ambiguous methodologies (e.g., transvaginal ultrasound: sensitivity 80–90%, specificity 60–70%), undefined target populations, and the absence of efficient, cost-effective, minimally invasive solutions (e.g., cytology sensitivity ≤50% in community settings). The article provides an overview of the current landscape and emerging innovations in universal EC screening, highlighting advancements in early detection and diagnosis, such as DNA methylation panels (sensitivity 89–94%, specificity 91–97% in phase II trials) and vibrational spectroscopy (sensitivity 92%, specificity 88% in pilot studies). Additionally, future directions for implementing effective screening strategies are explored, emphasizing the potential of high-accuracy biomarkers and scalable technologies to reduce mortality and healthcare costs.

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Original Article Open Access
Yu-Jia Lu, Chuan-Su Yuan, Yue-Yang Ma, Ke-Ying Ou, Du-Xian Liu, Bin Liu, Yong-Feng Yang, Qing-Fang Xiong
Published online February 19, 2025
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Journal of Clinical and Translational Hepatology. doi:10.14218/JCTH.2024.00453
Abstract
Wilson’s disease (WD) is a rare autosomal recessive genetic disorder that can be treated with medications. The lack of a single, specific diagnostic indicator leads to diagnostic [...] Read more.

Wilson’s disease (WD) is a rare autosomal recessive genetic disorder that can be treated with medications. The lack of a single, specific diagnostic indicator leads to diagnostic difficulties, which may result in disease progression to cirrhosis and even liver cancer. Thus, this study aimed to analyze the clinical data, imaging, histopathological manifestations, genetic testing results, and treatment effects of patients with WD hepatic type, and to explore the factors related to WD cirrhosis.

A single-center retrospective study was performed. 48 WD patients with a Leipzig score ≥ 4 were divided into a cirrhosis group and a non-cirrhosis group based on the presence of cirrhosis. Logistic regression analysis and odds ratios were used to describe the strength of association between risk factors and cirrhosis. The predictive value of the model for cirrhosis occurrence was evaluated by calculating the area under the receiver operating characteristic curve and the cutoff value.

All 48 patients diagnosed with WD had liver damage, with males accounting for 54.17%. The median age at diagnosis was 28 years (range: 10.25–40.5 years), and 39.58% of patients had cirrhosis. The most prevalent mutation was c.2333G>T (p.Arg778Leu), found in 41.30% (19/46) of cases. Imaging revealed fatty liver in 31.25% (15/48) of patients and “honeycomb-like” cirrhosis nodules in 73.68% (14/19). Compared with the non-cirrhosis group, the cirrhosis group had a higher positive rate for the Kayser-Fleischer (K-F) ring, older age at diagnosis, and higher levels of immunoglobulin G, but lower levels of alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, white blood cells, and platelets (p < 0.05). Age at diagnosis (odds ratio = 1.072, 95% confidence interval = 1.007–1.142, p = 0.03) and the K-F ring (odds ratio = 18.657, 95% confidence interval = 1.451–239.924, p = 0.025) were independent risk factors for WD-related cirrhosis. The best values of area under the receiver operating characteristic curve for age at diagnosis combined with the K-F ring in predicting WD cirrhosis were 0.909. The average follow-up time for 33 patients was 48.6 months (range: 12–72 months). The biochemical recovery rate was over 60% after 12–72 months of treatment with zinc gluconate and/or penicillamine.

Age at diagnosis, combined with the K-F ring, is a simple and effective risk factor for WD-related cirrhosis. Zinc gluconate and penicillamine are safe and effective treatments.

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Mini Review Open Access
Xing Huang, Xiaobing Jiang
Published online March 25, 2025
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Neurosurgical Subspecialties. doi:10.14218/NSSS.2024.00008
Abstract
Pituitary tumors are common intracranial neoplasms that can cause significant morbidity due to hormonal dysregulation and compression of surrounding structures. Despite advancements [...] Read more.

Pituitary tumors are common intracranial neoplasms that can cause significant morbidity due to hormonal dysregulation and compression of surrounding structures. Despite advancements in surgical techniques, challenges persist in treating large, invasive, or recurrent tumors, where complete resection is often difficult. The molecular and genetic mechanisms underlying pituitary tumorigenesis are not yet fully understood, limiting the development of targeted therapies. This review provides a comprehensive overview of recent advancements in neuroendoscopic treatment of pituitary tumors, with a focus on pathogenesis, technological innovations, clinical outcomes, and future directions. We highlight the potential of neuroendoscopic surgery to improve patient outcomes while addressing persistent challenges, such as the steep learning curve and limitations in instrument maneuverability. Future research should prioritize enhancing instrument design, developing 3D and augmented reality visualization systems, and improving training programs to further advance neuroendoscopic techniques.

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Review Article Open Access
Aixin Qiu, Zhen Luo, Xiaohui Liu, Xiangchen Hou, Yao Xiao, Yue Zhang, Yang Yu
Published online March 25, 2025
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Cancer Screening and Prevention. doi:10.14218/CSP.2024.00029
Abstract
Prostate cancer (PCa) often manifests insidiously, with most patients being diagnosed at an advanced stage, leading to a poor prognosis. Early detection of PCa can significantly [...] Read more.

Prostate cancer (PCa) often manifests insidiously, with most patients being diagnosed at an advanced stage, leading to a poor prognosis. Early detection of PCa can significantly prolong overall survival by impeding the progression of metastasis. A commonly utilized screening method for detecting PCa is the prostate-specific antigen test. However, since the prostate-specific antigen lacks specificity and sensitivity for PCa identification, there is a paramount urgency to develop precise diagnostic biomarkers for early detection. Extracellular vesicles, known as exosomes, are released by cells into body fluids. Exosomes derived from cancer cells can carry genetic information about the tumor, including DNA, RNA, and proteins, which play crucial roles in tumor initiation, invasion, metastasis, and drug resistance. Studies have indicated that exosomes (including messenger RNAs, microRNAs, long noncoding RNAs and others) can enhance the sensitivity and specificity of PCa diagnosis, indicating their potential for early detection. This review highlights the biological characteristics and functions of exosomes, as well as recent advancements in their use for the diagnosis, prognosis, and treatment of prostate cancer.

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Review Article Open Access
Bhuban Ruidas
Published online March 30, 2025
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Oncology Advances. doi:10.14218/OnA.2025.00001
Abstract
Mitochondria are highly dynamic organelles that adapt to cellular stress and metabolic demands through processes such as fission, fusion, mitophagy, and transport, all of which [...] Read more.

Mitochondria are highly dynamic organelles that adapt to cellular stress and metabolic demands through processes such as fission, fusion, mitophagy, and transport, all of which are vital for maintaining cellular signaling and metabolic homeostasis. Fission facilitates mitochondrial division and biogenesis, while fusion enhances mitochondrial fitness and metabolic flexibility by mitigating damage. Together, these processes play a critical role in regulating cellular stress responses and apoptosis. Dysregulation of mitochondrial dynamics has been linked to impaired development and cancer progression, including breast cancer metastasis. A comprehensive understanding of mitochondrial dynamics in breast cancer progression is essential for advancing precision medicine. This review delves into the intricate molecular mechanisms governing mitochondrial biogenesis, fission, fusion, and mitophagy, with a particular focus on the role of mitophagy in maintaining mitochondrial homeostasis and its connection to metastasis progression. Furthermore, it discusses potential therapeutic strategies targeting mitochondrial dynamics and highlights the critical steps necessary to translate these approaches into clinical trials.

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