• 제목/요약/키워드: Clinical biomarker

검색결과 266건 처리시간 0.026초

Analysis of Transcriptional Profiles to Discover Biomarker Candidates in Mycobacterium avium subsp. paratuberculosis-Infected Macrophages, RAW 264.7

  • Cha, Seung Bin;Yoo, Anna;Park, Hong Tae;Sung, Kyoung Yong;Shin, Min Kyoung;Yoo, Han Sang
    • Journal of Microbiology and Biotechnology
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    • 제23권8호
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    • pp.1167-1175
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    • 2013
  • Paratuberculosis (PTB) or Johne's disease is one of the most serious chronic debilitating diseases of ruminants worldwide that is caused by Mycobacterium avium subsp. paratuberculosis (MAP). MAP is a slow-growing bacterium that has very long latent periods, resulting in difficulties in diagnosing and controlling the disease, especially regarding the diagnosis of fecal shedders of MAP without any clinical signs. Based on this situation, attempts were made to identify biomarkers that show early responses to MAP infection in a macrophage cell line, RAW 264.7. In response to the infection with the bacterium, a lot of genes were turned on and/or off in the cells. Of the altered genes, three different categories were identified based on the time-dependent gene expression patterns. Those genes were considered as possible candidates for biomarkers of MAP infection after confirmation by quantitative RT-PCR analysis. To the best of our knowledge, this is the first attempt at discovering the host transcriptomic biomarkers of PTB, although further investigation will be required to determine whether these biomarker candidates are associated within the natural host.

Legumain Protein as a Potential Predictive Biomarker for Asian Patients with Breast Carcinoma

  • Wu, Mei;Shao, Guang-Rui;Zhang, Fei-Xue;Wu, Wen-Xiu;Xu, Ping;Ruan, Zheng-Min
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권24호
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    • pp.10773-10777
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    • 2015
  • Background: Treatment for breast cancer is mainly performed by surgical resection of primary tumors and chemotherapy. However, after tumor invasion and metastases, breast cancer is hard to control. Clarification of the pathogenic mechanisms would be helpful to the prognosis or therapy for the breast cancer. The aim of this study is to investigate the clinical and prognostic implications of legumain protein Materials and Methods: In this study, we examined mastectomy specimens from 114 breast cancer and matching, 26 adjacent non-cancerous tissues using immunohistochemistry. Results: The results indicated that positive expression of legumain protein in breast cancer was 51.8 % (59/114) and the positive expression of legumain protein in adjacent non-cancerous tissue was 11.5% (3/26). It appeared to be related with lymph node metastasis of breast cancer (p=0.02) and correlation analysis indicated that legumain expression was correlated positively with the estrogen receptor (ER) and mutant-type p53 expression (both p<0.05). Positive legumain expression was significantly associated with shorter overall survival time in breast cancer patients (log-rank p<0.01). Multivariate survival analysis suggested that the positive legumain expression was an independent predictor of poorer overall survival in patients with breast cancer (HR=0.24; 95%CI 0.11-0.65, p=0.03). Conclusions: Legumain might be a new potential biomarker for breast cancer, which may reflect the prognosis and overall survival.

Future Directions of Pharmacovigilance Studies Using Electronic Medical Recording and Human Genetic Databases

  • Choi, Young Hee;Han, Chang Yeob;Kim, Kwi Suk;Kim, Sang Geon
    • Toxicological Research
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    • 제35권4호
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    • pp.319-330
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    • 2019
  • Adverse drug reactions (ADRs) constitute key factors in determining successful medication therapy in clinical situations. Integrative analysis of electronic medical record (EMR) data and use of proper analytical tools are requisite to conduct retrospective surveillance of clinical decisions on medications. Thus, we suggest that electronic medical recording and human genetic databases are considered together in future directions of pharmacovigilance. We analyzed EMR-based ADR studies indexed on PubMed during the period from 2005 to 2017 and retrospectively acquired 1161 (29.6%) articles describing drug-induced adverse reactions (e.g., liver, kidney, nervous system, immune system, and inflammatory responses). Of them, only 102 (8.79%) articles contained useful information to detect or predict ADRs in the context of clinical medication alerts. Since insufficiency of EMR datasets and their improper analyses may provide false warnings on clinical decision, efforts should be made to overcome possible problems on data-mining, analysis, statistics, and standardization. Thus, we address the characteristics and limitations on retrospective EMR database studies in hospital settings. Since gene expression and genetic variations among individuals impact ADRs, pharmacokinetics, and pharmacodynamics, appropriate paths for pharmacovigilance may be optimized using suitable databases available in public domain (e.g., genome-wide association studies (GWAS), non-coding RNAs, microRNAs, proteomics, and genetic variations), novel targets, and biomarkers. These efforts with new validated biomarker analyses would be of help to repurpose clinical and translational research infrastructure and ultimately future personalized therapy considering ADRs.

Lung Cancer Detection by Screening - Presenting Circulating miRNAs as a Promising Next Generation Biomarker Breakthrough

  • Ramshankar, Vijayalakshmi;Krishnamurthy, Arvind
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권4호
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    • pp.2167-2172
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    • 2013
  • Lung cancer remains a major cause of morbidity and mortality worldwide, accounting for more deaths than any other cause. All the clinical practice guidelines recommended against routine screening for lung cancer have cited lack of robust evidence, at least until a few years back. However, the potential to screen lung cancers has received renewed interest due to superior performance of low dose CT (LD-CT) in detecting early stage cancers. The incremental costs and risks involved due to the invasive procedures in the screened population due to a high false positivity rate questions the use of LD-CT scan as a reliable community based screening tool. There is therefore an urgent need to find a less invasive and a more reliable biomarker that is crucial to increase the probability of early lung cancer detection. This can truly make a difference in lung cancer survival and at the same time be more cost and resource utilization effective. Sampling blood serum being minimally invasive, low risk and providing an easy to obtain biofluid, needs to be explored for potential biomarkers. This review discusses the use of circulatory miRNAs that have been able to discriminate lung cancer patients from disease free controls. Several studies conducted recently suggest that circulating miRNAs may have promising future applications for screening and early detection of lung cancer.

Immune inflammatory modulation as a potential therapeutic strategy of stem cell therapy for ALS and neurodegenerative diseases

  • Kim, Seung Hyun;Oh, Ki-Wook;Jin, Hee Kyung;Bae, Jae-Sung
    • BMB Reports
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    • 제51권11호
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    • pp.545-546
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    • 2018
  • With emerging evidence on the importance of non-cell autonomous toxicity in neurodegenerative diseases, therapeutic strategies targeting modulation of key immune cells. including microglia and Treg cells, have been designed for treatment of ALS and other neurodegenerative diseases. Strategy switching the patient's environment from a pro-inflammatory toxic to an anti-inflammatory, and neuroprotective condition, could be potential therapy for neurodegenerative diseases. Mesenchymal stem cells (MSCs) regulate innate and adaptive immune cells, through release of soluble factors such as $TGF-{\beta}$ and elevation of regulatory T cells (Tregs) and T helper-2 cells (Th2 cells), would play important roles, in the neuroprotective effect on motor neuronal cell death mechanisms in ALS. Single cycle of repeated intrathecal injections of BM-MSCs demonstrated a clinical benefit lasting at least 6 months, with safety, in ALS patients. Cytokine profiles of CSF provided evidence that BM-MSCs, have a role in switching from pro-inflammatory to anti-inflammatory conditions. Inverse correlation of $TGF-{\beta}1$ and MCP-1 levels, could be a potential biomarker to responsiveness. Thus, additional cycles of BM-MSC treatment are required, to confirm long-term efficacy and safety.

Expression of IER3 in Primary Hepatocarcinoma: Correlation with Clinicopathological Parameters

  • Liu, Zhong;Wang, Xin-Mei;Jia, Tong-Fu;Zhai, Yi;Sun, Ling-Yan;Cheng, Yu-Ping;Zhang, Yue-Min;Liu, Shi-Hai;Liang, Jun
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권2호
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    • pp.679-682
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    • 2015
  • Background: Studies indicate the immediate early response gene 3 (IER3) is involved in many biological processes. Recently, it was discovered that IER3 plays an important role in tumorigenesis and tumor progression. Thus it may be a valuable biomarker in tumor. This study was designed to investigate the expression status of IER3 in primary hepatocarcinoma (PHC) and correlation with clinicopathological parameters. Materials and Methods: Real-time PCR was performed to evaluate the expression levels of IER3 in 62 pathologically diagnosed human PHC specimens. Results: A statistically significant association was disclosed between the expression of IER3 and P53 mutant protein (short for P53), Ki-67, EGFR and the biggest diameter, differentiation grade of tumor. Conclusions: This work is the first to shed light on the potential clinical usefulness of IER3, as an efficient tumor biomarker in PHC.

Diagnostic Value of miR-1260b in Cervical Cancer: A Pilot Study

  • Kim, Jungho;Park, Sunyoung;Lee, Hyeyoung
    • 대한의생명과학회지
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    • 제26권1호
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    • pp.8-13
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    • 2020
  • Cervical cancer is the fourth most common cancer in women, with approximately 528,000 new cases and 266,000 women dying of it per year in the world. MicroRNAs have recently been in the spotlight as potential biomarkers that regulate gene expression and are involved in tumorigenesis. In the present study, we evaluated miR-1260b as a potential biomarker for screening of cervical cancer by quantitative reverse transcription PCR. We profiled the TCGA data of miR-1260b in 307 cervical cancer tissues. Then, miR-1260b expression levels in 10 cervical cancer tissues and 10 noncancerous tissues were investigated in a pilot study. miR-1260b was found to be significantly up-regulated in cervical cancer FFPE tissues as compared to those in cervical normal FFPE tissues (P = 0.006). The mean expression level of miR-1260b in late-stage (IIB-IVB) was higher than in those with early-stage (IA-IIA). Furthermore, high miR-1260b was found to be associated with high hTERT and Ki-67 mRNA expression, which are representative of tumor prognosis. The results of the pilot study suggest that miR-1260b may be used as a novel biomarker for improving the diagnosis of cervical cancer.

Application of metabolic profiling for biomarker discovery

  • Hwang, Geum-Sook
    • 한국응용약물학회:학술대회논문집
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    • 한국응용약물학회 2007년도 Proceedings of The Convention
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    • pp.19-27
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    • 2007
  • An important potential of metabolomics-based approach is the possibility to develop fingerprints of diseases or cellular responses to classes of compounds with known common biological effect. Such fingerprints have the potential to allow classification of disease states or compounds, to provide mechanistic information on cellular perturbations and pathways and to identify biomarkers specific for disease severity and drug efficacy. Metabolic profiles of biological fluids contain a vast array of endogenous metabolites. Changes in those profiles resulting from perturbations of the system can be observed using analytical techniques, such as NMR and MS. $^1H$ NMR was used to generate a molecular fingerprint of serum or urinary sample, and then pattern recognition technique was applied to identity molecular signatures associated with the specific diseases or drug efficiency. Several metabolites that differentiate disease samples from the control were thoroughly characterized by NMR spectroscopy. We investigated the metabolic changes in human normal and clinical samples using $^1H$ NMR. Spectral data were applied to targeted profiling and spectral binning method, and then multivariate statistical data analysis (MVDA) was used to examine in detail the modulation of small molecule candidate biomarkers. We show that targeted profiling produces robust models, generates accurate metabolite concentration data, and provides data that can be used to help understand metabolic differences between healthy and disease population. Such metabolic signatures could provide diagnostic markers for a disease state or biomarkers for drug response phenotypes.

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Odorant G protein-coupled receptors as potential therapeutic targets for adult diffuse gliomas: a systematic analysis and review

  • Cho, Hee Jin;Koo, JaeHyung
    • BMB Reports
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    • 제54권12호
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    • pp.601-607
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    • 2021
  • Odorant receptors (ORs) account for about 60% of all human G protein-coupled receptors (GPCRs). OR expression outside of the nose has functions distinct from odor perception, and may contribute to the pathogenesis of disorders including brain diseases and cancers. Glioma is the most common adult malignant brain tumor and requires novel therapeutic strategies to improve clinical outcomes. Here, we outlined the expression of brain ORs and investigated OR expression levels in glioma. Although most ORs were not ubiquitously expressed in gliomas, a subset of ORs displayed glioma subtype-specific expression. Moreover, through systematic survival analysis on OR genes, OR51E1 (mouse Olfr558) was identified as a potential biomarker of unfavorable overall survival, and OR2C1 (mouse Olfr15) was identified as a potential biomarker of favorable overall survival in isocitrate dehydrogenase (IDH) wild-type glioma. In addition to transcriptomic analysis, mutational profiles revealed that somatic mutations in OR genes were detected in > 60% of glioma samples. OR5D18 (mouse Olfr1155) was the most frequently mutated OR gene, and OR5AR1 (mouse Olfr1019) showed IDH wild-type-specific mutation. Based on this systematic analysis and review of the genomic and transcriptomic profiles of ORs in glioma, we suggest that ORs are potential biomarkers and therapeutic targets for glioma.

Cystatin C for managing diuretic-induced kidney dysfunction in MMVD dogs

  • Donghyun Han;Jae Hyeon Cho;Chung Hui Kim
    • 한국동물위생학회지
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    • 제46권3호
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    • pp.181-192
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    • 2023
  • Cystatin C, a low-molecular-weight protein synthesized by cells, is being explored as a valuable biomarker for assessing renal function in veterinary medicine. Although the relationship between cystatin C and heart disease remains unclear, some studies suggest a possible association. This retrospective case-control study aimed to investigate the role of cystatin C as a biomarker for heart disease and its correlation with diuretic use in veterinary clinical practice. A total of 39 dogs were included in this study, comprising 9 control dogs without a predisposition to heart disease and 30 dogs in the study group diagnosed with heart disease. Among the 30 dogs with heart disease, 18 exhibited symptoms indicative of heart failure. Results showed significantly higher cystatin C levels in the heart disease group compared to the control group (P<0.05). However, no significant differences were observed among different stages of heart disease severity in the control group. Furthermore, cystatin-C showed statistically positive correlations with BUN (r=0.478, P<0.01), creatinine (r=0.506, P<0.01), and furosemide (r=0.338, P<0.05). Diuretics are essential for managing congestive heart failure, and the observed associations between cystatin C and furosemide suggest potential impacts of diuretic use on renal function in dogs with heart failure. Monitoring renal function markers, such as cystatin C, can aid in predicting and managing potential renal complications, ultimately improving the overall health and quality of life of dogs with heart disease.