1.Current status and future prospect of pharmacotherapy for pancreatic cancer.
Yun FANG ; Meng-Ru LAI ; Yu-Qing GE ; Guang-Ji ZHANG ; Ru-Bin CHENG
China Journal of Chinese Materia Medica 2019;44(8):1509-1516
Pancreatic cancer is the most common digestive tract tumor with an increasing incidence in recent years. The poor prognosis of pancreatic cancer is mainly because of the inability of detecting tumor at an early stage,its high potential for early dissemination,and its relatively poor sensitivity to chemotherapy. Most patients have lost the opportunity for surgery when they are diagnosed,which resulted in an urgent need for the development of more effective and safe therapies for pancreatic cancer. However,the current clinical cancer chemotherapy based on gemcitabine leads to poor prognosis in pancreatic patients. With the continuous research on the biological and cellular signaling pathways of pancreatic cancer,there have emerged a great many of novel agents,including new chemotherapeutic,targetable and immune-modulatory drugs,and some drugs have achieved encouraging results. Furthermore,as an alternative and supplementary method,traditional Chinese medicine has shown good application prospects in the field of pancreatic cancer treatment. This article reviews the current status of drug therapy for pancreatic cancer,summarizes the strength and weakness of existing therapeutic drugs in the application process,gives prospects of possible breakthroughs for the pharmacotherapy in the future,and provides certain new ideas and lessons for subsequent drug development.
Forecasting
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Humans
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Medicine, Chinese Traditional
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Pancreatic Neoplasms
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drug therapy
2.Morphological characteristics identification and molecular DNA barcoding analysis of Hippocampus spinosissimus.
Si-Ya SUN ; Yun FANG ; Meng-Ru LAI ; Yu-Qing GE ; Guang-Ji ZHANG ; Ru-Bin CHENG
China Journal of Chinese Materia Medica 2019;44(22):4837-4843
The combination of morphological characteristics and DNA barcodes was used to a systematic study of Hippocampus spinosissimus,laying the foundation for rapid and accurate identification for the medical seahorse species. According to the reported literature and observation on seahorse samples,the typical characteristics of the H. spinosissimus include highly developed spiny,much short nose,single or double cheeks and strongly developed spines bordering pouch. Genomic DNAs of H. spinosissimus and other related seahorse species were extracted using the TIANamp Marine Animals DNA Kit. The COⅠ and ATP6 genes were amplified and sequenced in both directions. After the verification by Blast,the GC content,intraspecific and interspecific genetic distance,and the Neighbor joining( NJ) phylogenetic trees were analyzed by MEGA 7. The lengths of the COⅠ and ATP6 genes were 649 bp and 602-603 bp,respectively,with the average GC content of 39. 96% and 35. 37%. The maximum intraspecific genetic distances in H. spinosissimus based on COⅠ and ATP were both far less than the minimum interspecific genetic distance between H. spinosissimus and other seahorses,suggesting a significant barcoding gap. NJ analysis results of COⅠ and ATP6 exhibited that all H. spinosissimus species clustered together,indicating that the two DNA barcode could identify H. spinosissimus from other seahorses accurately and quickly. In addition,H. spinosissimus shared a close genetic relationship between H. kelloggi according to the NJ tree. Furthermore,there exits three stable subgroup structure of H. spinosissimus,indicating that COⅠ and ATP6 barcodes could be applied the indicator for the geographical ecology research of H. spinosissimus. The results obtained the typical morphological and molecular identification characteristics of H. spinosissimus,which played central roles for the development of species identification. This study provides an important basis data for expanding the medical seahorse resources and ensuring the safety of clinical medicine.
Animals
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Base Composition
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DNA
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DNA Barcoding, Taxonomic
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Phylogeny
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Smegmamorpha/genetics*
3.Accuracy of Mean Value of Central Venous Pressure from Monitor Digital Display: Influence of Amplitude of Central Venous Pressure during Respiration.
Meng-Ru XU ; Wang-Lin LIU ; Huai-Wu HE ; Xiao-Li LAI ; Mei-Ling ZHAO ; Da-Wei LIU ; Yun LONG
Chinese Medical Sciences Journal 2023;38(2):117-124
Background A simple measurement of central venous pressure (CVP)-mean by the digital monitor display has become increasingly popular. However, the agreement between CVP-mean and CVP-end (a standard method of CVP measurement by analyzing the waveform at end-expiration) is not well determined. This study was designed to identify the relationship between CVP-mean and CVP-end in critically ill patients and to introduce a new parameter of CVP amplitude (ΔCVP= CVPmax - CVPmin) during the respiratory period to identify the agreement/disagreement between CVP-mean and CVP-end.Methods In total, 291 patients were included in the study. CVP-mean and CVP-end were obtained simultaneously from each patient. CVP measurement difference (|CVP-mean - CVP-end|) was defined as the difference between CVP-mean and CVP-end. The ΔCVP was calculated as the difference between the peak (CVPmax) and the nadir value (CVPmin) during the respiratory cycle, which was automatically recorded on the monitor screen. Subjects with |CVP-mean - CVP-end|≥ 2 mmHg were divided into the inconsistent group, while subjects with |CVP-mean - CVP-end| < 2 mmHg were divided into the consistent group.Results ΔCVP was significantly higher in the inconsistent group [7.17(2.77) vs.5.24(2.18), P<0.001] than that in the consistent group. There was a significantly positive relationship between ΔCVP and |CVP-mean - CVP-end| (r=0.283, P <0.0001). Bland-Altman plot showed the bias was -0.61 mmHg with a wide 95% limit of agreement (-3.34, 2.10) of CVP-end and CVP-mean. The area under the receiver operating characteristic curves (AUC) of ΔCVP for predicting |CVP-mean - CVP-end| ≥ 2 mmHg was 0.709. With a high diagnostic specificity, using ΔCVP<3 to detect |CVP-mean - CVP-end| lower than 2mmHg (consistent measurement) resulted in a sensitivity of 22.37% and a specificity of 93.06%. Using ΔCVP>8 to detect |CVP-mean - CVP-end| >8 mmHg (inconsistent measurement) resulted in a sensitivity of 31.94% and a specificity of 91.32%.Conclusions CVP-end and CVP-mean have statistical discrepancies in specific clinical scenarios. ΔCVP during the respiratory period is related to the variation of the two CVP methods. A high ΔCVP indicates a poor agreement between these two methods, whereas a low ΔCVP indicates a good agreement between these two methods.
Humans
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Central Venous Pressure
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Respiration
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ROC Curve