1.Breast metastasis from small cell lung carcinoma.
Shi-ping LUH ; Chih KUO ; Thomas Chang-yao TSAO
Journal of Zhejiang University. Science. B 2008;9(1):39-43
Breast metastases from extramammary neoplasms are very rare. We presented a 66 year-old female with metastasis of small cell lung carcinoma to the breast. She presented with consolidation over the left upper lobe of her lung undetermined after endobronchial or video-assisted thoracoscopic surgery (VATS) biopsy, and this was treated effectively after antibiotic therapy at initial stage. The left breast lumps were noted 4 months later, and she underwent a modified radical mastectomy under the impression of primary breast carcinoma. However, the subsequent chest imaging revealed re-growing mass over the left mediastinum and hilum, and cells with the same morphological and staining features were found from specimens of transbronchial brushing and biopsy. An accurate diagnosis to distinguish a primary breast carcinoma from metastatic one is very important because the therapeutic planning and the outcome between them are different.
Aged
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Breast Neoplasms
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secondary
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Bronchoscopy
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Carcinoma, Small Cell
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pathology
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Female
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Humans
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Lung Neoplasms
;
pathology
2.Clinical application and pharmacokinetic study of nanocarriers in drug delivery system
Xiao XIAO ; Jun-yu CHEN ; Cai-xia LI ; Man WU ; Jian-dang LI ; Chang-kuo SHI ; Shu-qing WU ; Wen-liang LI
Acta Pharmaceutica Sinica 2023;57(4):856-866
Nanotechnology has shown obvious advantages in the field of medical treatment and diagnosis. Through the encapsulation of nano carriers, drugs not only enhance the therapeutic effect and reduce toxic and side effects, but also become intelligent responsive targeted drug systems through the modification on the surface of nano carriers. However, due to the obstacles in relevant basic research, production conditions, cost, clinical trials, and the lack of pharmacokinetic research on various drug loading systems, few nano systems have been used in therapy. In order to solve the above problems, this paper reviewed and analyzed the research progress of nano carriers in drug delivery, including their auxiliary role and characteristics, types and functions, pharmacokinetics, application prospects and challenges.
3.Identifying Subjects with Insulin Resistance by Using the Modified Criteria of Metabolic Syndrome.
Chang Hsun HSIEH ; Dee PEI ; Yi Jen HUNG ; Shi Wen KUO ; Chih Tseung HE ; Chien Hsing LEE ; Chung Ze WU
Journal of Korean Medical Science 2008;23(3):465-469
The objectives of this cohort analysis were to explore the relationship between insulin resistance (IR) and the criteria for metabolic syndrome (MetS) and to evaluate the ability to detect IR in subjects fulfilling those criteria. We enrolled 511 healthy subjects (218 men and 283 women) and measured their blood pressure (BP), body mass index, high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), and fasting plasma glucose levels. Insulin suppression testing was done to measure insulin sensitivity as the steady-state plasma glucose (SSPG) value. Subjects with an SSPG value within the top 25% were considered to have IR. The commonest abnormality was a low HDL-C level, followed by high BP. The sensitivity to detect IR in subjects with MetS was about 47%, with a positive predictive value of about 64.8%, which has higher in men than in women. In general, the addition of components to the criteria for MetS increased the predictive value for IR. The most common combination of components in subjects with MetS and IR were obesity, high BP, and low HDL-C levels. All of the components were positive except for HDL-C, which was negatively correlated with SSPG. The correlation was strongest for obesity, followed by high TG values. In subjects with MetS, sensitivity for IR was low. However, body mass index and TG values were associated with IR and may be important markers for IR in subjects with MetS.
Adult
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Aged
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*Biological Markers
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Blood Glucose/metabolism
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Blood Pressure
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Body Mass Index
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Cholesterol, HDL/blood
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Female
;
Humans
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*Insulin Resistance
;
Male
;
Metabolic Syndrome X/*diagnosis/*epidemiology
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Middle Aged
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Obesity, Morbid/diagnosis/epidemiology
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Predictive Value of Tests
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Prevalence
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Risk Factors
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Sensitivity and Specificity
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Triglycerides/blood
4.Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults.
Chang Hsun HSIEH ; Yi Jen HUNG ; Du An WU ; Shi Wen KUO ; Chien Hsing LEE ; Wayne Huey Herng SHEU ; Jer Chuan LI ; Kuan Hung YEH ; Cheng Yu CHEN ; Dee PEI
Journal of Korean Medical Science 2007;22(1):74-80
The impact the metabolic syndrome (MetS) components on the severity of insulin resistance (IR) has not been reported. We enrolled 564 subjects with MetS and they were divided into quartiles according to the level of each component; and an insulin suppression test was performed to measure IR. In males, steady state plasma glucose (SSPG) levels in the highest quartiles, corresponding to body mass index (BMI) and fasting plasma glucose (FPG), were higher than the other three quartiles and the highest quartiles, corresponding to the diastolic blood pressure and triglycerides, were higher than in the lowest two quartiles. In females, SSPG levels in the highest quartiles, corresponding to the BMI and triglycerides, were higher than in all other quartiles. No significant differences existed between genders, other than the mean SSPG levels in males were greater in the highest quartile corresponding to BMI than that in the highest quartile corresponding to HDL-cholesterol levels. The factor analysis identified two underlying factors (IR and blood pressure factors) among the MetS variables. The clustering of the SSPG, BMI, triglyceride and HDLcholesterol was noted. Our data suggest that adiposity, higher FPG and triglyceride levels have stronger correlation with IR and subjects with the highest BMI have the highest IR.
Waist-Hip Ratio
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Triglycerides/blood
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Middle Aged
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Metabolic Syndrome X/*metabolism
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Male
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*Insulin Resistance
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Humans
;
Female
;
Fasting/blood
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Cholesterol, HDL/blood
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Body Mass Index
;
Blood Glucose/analysis
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Aged
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Adult