Mapping the number of mangrove trees in the Guangdong-Hong Kong-Macao Greater Bay Area.

Mangroves are vital components of coastal ecosystems. Due to the complex canopy morphology and dense distribution of mangroves, it is challenging to accurately estimate the density based on satellite data. In this study, a density regression-based mangrove mapping network is proposed. The network can capture the multi-scale characteristics of mangroves through the combination of an attention mechanism and a parallel segmentation path, and its performance is better than existing methods. We then apply it to mapping the Greater Bay Area (GBA) the number of mangrove trees. The results show about 2.55 million mangrove trees in the GBA, with an average density of 782 trees per hectare. The tree number of mangroves on the beach is significantly higher than those distributed along the riverbank. This study is the first to achieve mangrove tree count mapping, opening up new prospects for applying satellite-based mangrove monitoring.

Strophiofimbrins A and B: Two Rearranged Norditerpenoids with Novel Tricyclic Carbon Skeletons from Strophioblachia fimbricalyx.

Two rearranged norditerpenoids with novel tricyclic carbon skeletons, strophiofimbrin A (1) and strophiofimbrin B (2), were isolated from Strophioblachia fimbricalyx. Their structures were established by 1D/2D NMR spectroscopy, HRESIMS, quantum chemistry calculations, and X-ray diffraction analyses. 1 and 2 represented the first examples of diterpenoids with unprecedented 5/6/7-fused ring systems. In the proposed biosynthetic pathway, they were suspected to derive from cleistanthane norditerpenoids via ring opening, expansion, cyclization, and rearrangement based on the existence of phenanthrenone and cleistanthane diterpenoids from Strophioblachia and Trigonostemon, two closely related genera of the Euphorbiaceae family. Furthermore, compounds 1 and 2 exhibited significant proliferation inhibition and obvious neuroprotective effects.

Satellite-derived aridity index reveals China's drying in recent two decades.

The expansion of dryland has caused a huge impact on the natural environment and human society. Aridity index (AI) can effectively reflect the degree of dryness, but spatiotemporally continuous estimation of AI is still challenging. In this study, we develop an ensemble learning algorithm to retrieve AIs from MODIS satellite data in China from 2003 to 2020. The validation proves the high match between these satellite AIs and their corresponding station estimates with a root-mean-square error of 0.21, bias of -0.01, and correlation coefficient of 0.87. The analysis results indicate China has been drying in recent two decades. Moreover, the North China Plain is undergoing an intense drying process, whereas the Southeastern China is becoming significantly more humid. On the national scale, China's dryland area shows a slight expansion, while the hyper arid area has a decreasing trend. These understandings have contributed to China's drought assessment and mitigation.

Flow regime changes in the Lancang River, revealed by integrated modeling with multiple Earth observation datasets.

The flow regime change of rivers, especially transboundary rivers, affected by reservoir regulations is evident worldwide and has received much attention. Investigating dam-induced flow regime alterations is essential for understanding potential adverse downstream effects and facilitating dialogue around coordinated water use in transboundary basins, such as the Lancang River Basin (LRB). This study explored the value of combining several types of satellite Earth observation (EO) datasets that monitor different water balance components to constrain the parameter space of lumped conceptual hydrological models. Thus, we aimed to reconstruct the natural flow regimes upstream and downstream of the cascade reservoirs. Specifically, reservoir water storage changes were first estimated using satellite imagery and altimetry datasets. Then, storage changes were combined with hydrological model simulations of reservoir inflow to estimate the regulated flow regime downstream. Our results showed that integrated hydrological modeling combined with EO datasets exhibited better overall performance. Continuous warming and drying of the LRB resulted in a decrease in discharge of approximately 47 %. By comparing the simulated natural and regulated flow regimes, we revealed the pivotal role of the Xiaowan and Nuozhadu reservoirs in regulating natural flows. The wet season shortens (approximately 45 days), the flood peak flattens, and the low flow in the dry season has primarily increases. The two reservoirs attenuated 50 % of the flood peaks in the wet seasons and mitigated droughts by releasing up to 100 % of the natural flows in the dry seasons at the China-Laos border. Overall, these results enhance the understanding of upper reservoir operation, and the approaches can be applied to studies of dammed basins under climate change scenarios when knowledge of the upstream area is limited.

Reconstruction of 60-year (1961-2020) surface air temperature on the Tibetan Plateau by fusing MODIS and ERA5 temperatures.

The warming amplification of the Tibetan Plateau (TP) has exerted great impacts on the environment in and around the region. It is necessary to thoroughly investigate the temperature changes over the TP. However, the commonly used station observations, satellite products and reanalysis data for relevant studies suffer from deficiencies of sparse spatial distribution, limited temporal coverage and large uncertainties, respectively. This leaves the current understanding of temperature change on the TP still inadequate. Therefore, we propose a multi-source data fusion method to integrate the advantages of different data. Combining the Moderate-resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) products and station observations, this new method first obtains short-term satellite-derived surface air temperature (SAT) estimates over grids. The European Center for Medium-range Weather Forecasts ReAnalysis 5 land portion (ERA5-Land) temperature with long time range is then clustered and used as independent variables for the Bayesian Ridge Regression (BRR) model. Based on this BRR model, the temporal span of the estimated gridded satellite SAT is extended, and a fused 1-km monthly mean SAT dataset is generated over the TP from 1961 to 2020. The results indicate that the fused data generated by our proposed method has good accuracy with overall RMSE and MBE of 1.33 °C and 1.03 °C, respectively. Despite the temporal and spatial heterogeneity, the performance of the fused SATs is acceptable across seasons and geographical locations. The dataset also shows a great potential for detecting accurate long-term temperature changes across the TP. This fused SAT data owns the advantages from multiple data sources with high accuracy, good spatial continuity, fine spatial resolution and wide temporal coverage, which confirms that our fusion method can provide a favorable opportunity to explore the warming over the TP.

Performance of air temperature from ERA5-Land reanalysis in coastal urban agglomeration of Southeast China.

Near-surface air temperature is an important indicator of climate change and extreme events. ERA5-Land reanalysis products feature finer spatial and temporal resolutions, and have been widely adopted in global climate-related research. However, the performance of ERA5-Land air temperature data in coastal urban agglomerations has received little attention. In this study, a comprehensive evaluation is conducted in the Guangdong-Hong Kong-Macau Greater Bay Area (GBA) using the observations of 1080 automatic weather stations in 2018 as reference. Generally, ERA5-Land underestimates temperature (an average bias of 0.90 °C), and performs better at low temperatures than at high temperatures. At the station level, it is observed that the correlation shows a strong positive linear relationship with the distance to the coastline in summer, and that the bias increases with increasing altitude throughout the year. With respect to different land cover types, data accuracy over urban and built-up lands is the lowest. The spatial pattern of ERA5-Land is generally consistent with that of stations but relatively poor in urban areas. In addition, ERA5-Land properly captures daily and monthly variations, as well as intraday temperature fluctuations. These conclusions provide a reference for the implementation of ERA5-Land in coastal urban agglomerations.

Satellite observed cooling effects from re-vegetation on the Mongolian Plateau.

During the past decades, a series of new policies and ecological projects have been implemented to mitigate land degradation on the Mongolian Plateau. However, climatic effects from re-vegetation still remain largely unknown. In this paper, we investigate local land surface temperature response to re-vegetation changes by comparing between locations with forest or grassland gains and their nearby unchanged land units based on satellite observations. Our results demonstrate that reforestation in humid regions and grassland cover gains in arid regions result in annual net cooling effect, but temperature response to reforestation shows asymmetric diurnal (daytime cooling but nighttime warming) and seasonal (summer cooling but winter warming during daytime) cycle. Local cooling effect of transition land cover is enhanced with continuous restoration of vegetation. The underlying process is mainly controlled by biophysical effects from surface albedo and evapotranspiration. Increased albedo associated with snow cover in winter significantly contributes to the cooling effect of grassland, and evapotranspiration along with increase in precipitation amplifies interannual temperature differences especially in summer. This study reminds that rational land use policy should be formulated carefully to realize potential climatic benefits from re-vegetation projects.

Prenatal diagnosis of Cri-du-Chat syndrome with concomitant distal trisomy 10q syndrome in one fetus with ultrasound anomalies.

OBJECTIVE: The aim of this work was to characterize the genetic abnormalities and prenatal diagnosis indications in one fetus with Cri-du-Chat syndrome with codependent 10q24.2-q26.3 duplication in prenatal screening. MATERIALS AND METHODS: A 31-year-old woman had a second trimester serum screening that indicated the fetus was at low risk. During this pregnancy, the woman underwent amniocentesis at 18+4 weeks' gestation because of adverse fertility history and nuchal fold thickening. Cytogenetic analysis and next-generation sequencing analysis were simultaneously performed to provide genetic analysis of fetal amniotic fluid. According to abnormal results, parental chromosome karyotype of peripheral blood was performed to analysis. RESULTS: CNV-seq detected a 14.00 Mb deletion at 5p15.33-p15.2 and a 34.06 Mb duplication at 10q24.2-q26.3 in the fetus. Cytogenetic analysis of the fetus revealed a karyotype of 46, XY, der(5) t(5;10) (p15.2;q26.3). The karyotype of pregnant women was 46,XX,t(5;10) (p15.2;q24.2). The pregnancy was subsequently terminated after sufficient informed consent. CONCLUSION: This is the first study that reports prenatal diagnosis of a Cri-du-Chat syndrome with concomitant 10 q24.2-q26.3 duplication. Adverse pregnancy history has to be as an important indicator for prenatal diagnosis, and the genetic factors of abnormal pregnancy should be identified before next pregnancy. Nuchal fold thickening is closely related to fetal abnormalities. Combined with ultrasonography, the use of CNV-seq will improve the diagnosis of submicroscopic chromosomal aberrations in fetuses with congenital anomalies.

Feasibility of machine learning methods for predicting hospital emergency room visits for respiratory diseases.

The prediction of hospital emergency room visits (ERV) for respiratory diseases after the outbreak of PM2.5 is of great importance in terms of public health, medical resource allocation, and policy decision support. Recently, the machine learning methods bring promising solutions for ERV prediction in view of their powerful ability of short-term forecasting, while their performances still exist unknown. Therefore, we aim to check the feasibility of machine learning methods for ERV prediction of respiratory diseases. Three different machine learning models, including autoregressive integrated moving average (ARIMA), multilayer perceptron (MLP), and long short-term memory (LSTM), are introduced to predict daily ERV in urban areas of Beijing, and their performances are evaluated in terms of the mean absolute error (MAE), root mean squared error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2). The results show that the performance of ARIMA is the worst, with a maximum R2 of 0.70 and minimum MAE, RMSE, and MAPE of 99, 124, and 26.56, respectively, while MLP and LSTM perform better, with a maximum R2 of 0.80 (0.78) and corresponding MAE, RMSE, and MAPE of 49 (33), 62 (42), and 14.14 (9.86). In addition, it demonstrates that MLP cannot detect the time lag effect properly, while LSTM does well in the description and prediction of exposure-response relationship between PM2.5 pollution and infecting respiratory disease.

Hourly 5-km surface total and diffuse solar radiation in China, 2007-2018.

Surface solar radiation is an indispensable parameter for numerical models, and the diffuse component contributes to the carbon uptake in ecosystems. We generated a 12-year (2007-2018) hourly dataset from Multi-functional Transport Satellite (MTSAT) satellite observations, including surface total solar radiation (Rs) and diffuse radiation (Rdif), with 5-km spatial resolution through deep learning techniques. The used deep network tacks the integration of spatial pattern and the simulation of complex radiation transfer by combining convolutional neural network and multi-layer perceptron. Validation against ground measurements shows the correlation coefficient, mean bias error and root mean square error are 0.94, 2.48 W/m2 and 89.75 W/m2 for hourly Rs and 0.85, 8.63 W/m2 and 66.14 W/m2 for hourly Rdif, respectively. The correlation coefficient of Rs and Rdif increases to 0.94 (0.96) and 0.89 (0.92) at daily (monthly) scales, respectively. The spatially continuous hourly maps accurately reflect regional differences and restore the diurnal cycles of solar radiation at fine resolution. This dataset can be valuable for studies on regional climate changes, terrestrial ecosystem simulations and photovoltaic applications.

Evaluation of Reanalysis Surface Incident Solar Radiation Data in China.

Surface incident solar radiation (Rs) of reanalysis products is widely used in ecological conservation, agricultural production, civil engineering and various solar energy applications. It is of great importance to have a good knowledge of the uncertainty of reanalysis Rs products. In this study, we evaluated the Rs estimates from two representative global reanalysis (ERA-Interim and MERRA-2) using quality- controlled surface measurements from China Meteorological Administration (CMA) and Multi-layer Simulation and Data Assimilation Center of the Tibetan Plateau (DAM) from 2000 to 2009. Error causes are further analyzed in combination radiation products from the Earth's Radiant Energy System (CERES) EBAF through time series estimation, hotspot selection and Geodetector methods. Both the ERA-Interim and MERRA-2 products overestimate the Rs in China, and the MERRA-2 overestimation is more pronounced. The errors of the ERA-Interim are greater in spring and winter, while that of the MERRA-2 are almost the same in all seasons. As more quality-controlled measurements were used for validation, the conclusions seem more reliable, thereby providing scientific reference for rational use of these datasets. It was also found that the main causes of errors are the cloud coverage in the southeast coastal area, aerosol optical depth (AOD) and water vapor content in the Sichuan Basin, and cloud coverage and AOD in the northeast and middle east of China.

[Comparison between Ye Tianshi and Xue Shengbai in treatment of diarrfea with damp-heat].

Ye Tianshi and Xue Shengbai are two febrile disease specialists in same time, and for the treatment of dampness and heat, they have different medication ideas. With the help of traditional Chinese medicine(TCM), author has studied two specialists' consilias of dampness and heat, through the statistics and analysis of their medicine during the treatment of dampness and heat, summarizes the similarities and differences of Ye and Xue's medicine application's assoations and models. Ye Tianshi and Xue Shengbai were both thought that the reason of dampness and heat was damp heat pathogenic factors, for this reason, the spleen and stomach conduction disordered, They both treated from the middle-jiao of Yangming and Taiyin, focused on warm-natured medicine, cold-natured medicine, used less cool-natured and heat-natured medicine, and more bitter, pungent, sweet medicine; Ye Tianshi usually use Scutellariae Radix, Paeoniae Radix Alba, Coptidis Rhizoma, Polyporus, Poria, Alismatis Rhizoma; Xue Shengbai commonly use Poria, Citri Reticulatae Pericarpium, Magnoliae officinalis Cortex, Patchouli, Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix, Paeoniae Radix Alba, Lablab Semen Album, Puerariae Lobatae Radix, Mume Fructus, Tsaoko Fructus, Amomi Fructus, Coptidis Rhizoma and Phellodendri Chinensis Cortex. The differences between the two masters in medicine application provide a reference for the clinical treatment of dampness and heat.

Increased epoxyeicosatrienoic acids may be part of a protective mechanism in human ulcerative colitis, with increased CYP2J2 and reduced soluble epoxide hydrolase expression.

BACKGROUND: Previous preclinical evidence has suggested that the elevation of epoxyeicosatrienoic acids (EETs) derived from the cytochrome P450 (CYP) epoxygenases-dependent metabolism of arachidonic acid has important anti-inflammatory effects. However, the levels of EETs and their synthetic and metabolic enzymes in human ulcerative colitis has not been evaluated. METHOD: To evaluate EETs and the expression of relevant CYP isoforms and the metabolizing enzyme, soluble epoxide hydrolase (sEH), tissue biopsies were collected from 16 pairs of ulcerative colitis patients' tissues and matched with adjacent non-inflamed tissues. EETs were extracted from tissue homogenates and analyzed by liquid chromatography coupled with tandem mass spectrometry. RESULTS: The concentration of EETs was higher in ulcerative colitis tissues compared with matched adjacent non-inflamed tissues (1.91 ±â€¯0.98 ng/mg vs. 0.96 ±â€¯0.77 ng/mg, mean ±â€¯SD, P < 0.01). As shown by immunohistochemistry, sEH was present in the cytoplasm and intestinal mucosa and showed a decline in ulcerative colitis tissues compared with matched adjacent non-inflamed tissues. Western blot analyses showed reduced sEH expression in ulcerative colitis tissues compared with matched adjacent non-inflamed tissues, whereas CYP2J2 increased in ulcerative colitis tissues (P < 0.05). However, there was no statistically significant difference observed in CYP2C8 and CYP2C9 protein expression between them (P > 0.05). CONCLUSION: Our data suggest that the increase in EET levels may be part of a protective mechanism in ulcerative colitis. Furthermore, the concentration of EETs could be a key factor for drug therapy for ulcerative colitis.

[Comparison between Ye Tianshi and Xue Shengbai in treatment of distention with damp-heat].

Ye Tianshi and Xue Shengbai were both epidemic febrile diseases specialists in same time of Qing dynasty. The Traditional Chinese Medicine Inheritance Support System was used to compare and analyze the therapeutic characteristics of these two specialists in treating damp-heat type fullness or distension in stomach. Distension is commonly caused by qi stagnation accompanied with damp-heat from internal and external factors. In treatment, separation of damp and heat and removing dampness and heat from sanjiao separately were their common therapeutic principles. Both Ye Tianshi and Xue Shengbai paid much greater attention to eliminating dampness, and the herbs with bitter and pungent flavor, warm in property were usually chosen to regulate qi flow and reduce dampness. Invigorating spleen, nourishing stomach and dispersing lung were the frequently used treatment to balance the organs'harmony. The difference between specialist Ye and specialist Xue was the preference of herbs. Hou Pu (Magnoliae Officinalis Cortex), Xing Ren (Armeniacae Semen Amarum), Chen Pi (Citri Reticulatae Pericarpium), and Hua Shi (Talcum) were often used in both administrations. Besides, Ye Tianshi preferred to use Ban Xia (Pinelliae Rhizoma), Huang Qin (Scutellariae Radix), Huang Lian (Coptidis Rhizoma), Fuling, et al. Xue Shengbai on the other hand enjoyed using Fu Lingpi(Poriae Cutis), Cao Guo (Tsaoko Fructus), and Guang Huoxiang (Pogostemonis Herba), et al. In herbs compatibility, both of the two specialists were fond of using Chen Pi-Hou Pu, Hou Pu-Xing Ren. Moreover, Ye Tianshi often used Ban Xia- Xing Ren, Ban Xia-Huang Qin, and Hua Shi-Xing Ren to achieve the expected outcome of the treatment. While, Chen Pi, Fu Lingpi, and Hou Pu were the common combination with each other in Xue's cases. The similarities and differences of their administration should have the guidance in current clinical Chinese medicine practice for damp-heat type fullness or distension in stomach.

Association of CXCL12 levels in synovial fluid with the radiographic severity of knee osteoarthritis.

OBJECTIVE: Inflammation is implicated to be involved in the pathogenesis of osteoarthritis (OA). CXCL12, also known as stromal cell-derived factor, is the unique identified natural ligand of the G-protein-coupled receptor CXCR4 and exhibits both homeostatic and proinflammatory functions. This study aims to determine whether CXCL12 levels in serum and synovial fluid (SF) of patients with knee OA are correlated with the disease severity. METHODS: This study consisted of 252 patients with knee OA and 144 healthy controls. The radiological grading of OA in the knee was performed according to the Kellgren-Lawrence grading system. CXCL12 levels in serum and SF were measured by enzyme-linked immunosorbent assay. RESULTS: Higher levels of serum CXCL12 were found in knee OA patients compared with healthy controls. The CXCL12 levels in SF of knee OA patients with KL grade 4 were significantly elevated compared with those with KL grades 2 and 3. Furthermore, knee OA patients with KL grade 3 had significantly higher SF levels of CXCL12 compared with those with KL grade 2. CXCL12 levels in SF of knee OA patients were significantly correlated with disease severity evaluated by KL grading criteria. However, there were no significant differences in the serum CXCL12 levels between patients with different KL grades. CONCLUSION: CXCL12 levels in SF were closely related to the radiographic severity of OA. CXCL12 levels in SF may be an alternative biomarker for the progression of OA.

[A preliminary study on immune adjunctive therapy for multidrug-resistant Mycobacterium tuberculosis infection in animal models].

OBJECTIVE: To investigate the effect of adjunctive therapy by immune agents in mice infected with multidrug-resistant tuberculosis (MDR-TB). METHODS: Sixty-eight adult male BALB/c mice were infected with multidrug-resistant Mycobacterium tuberculosis (MTB) by aerosol route. The mice were randomly divided into a control group, an immuno-treatment group, a drug treatment group and a combination treatment group (drug plus immuno-treatment). In each treatment group, 16 mice were treated at day 21 after infection, and another 4 mice were sacrificed at day 21 after infection (treatment for 0 week) as the blank control group. In the treatment group, 4 mice were sacrificed in turn at the day after treatment for 4, 8, 16 and 20 weeks. Lung and spleen mass index at the day after treatment for 8, 16 and 20 weeks, lung and spleen live bacterial count in each period, serum IFN-γ and IL-10 levels at the day after treatment for 8 weeks were measured. Comparisons of analyzed parameters among groups were performed with the one way ANOVA test, and comparisons of parameters between 2 groups were performed with SNK and Games-Howell test. RESULTS: The lung mass index in the immuno-treatment group (0.66 ± 0.09)%, drug group (0.60 ± 0.07)% and combination therapy group (0.57 ± 0.05)% at the day after treatment for 8 weeks were significantly lower than that of the control group (0.81 ± 0.09)%, (F = 7.364, P < 0.01). Spleen CFU of immuno-treatment group at 16 and 20 weeks [(3.11 ± 0.14) lg CFU and (3.15 ± 0.18) lg CFU] were significantly lower than those of the control group [(3.77 ± 0.35) lg CFU and (4.31 ± 0.06)] (F values were 446.424 and 2107.689, P < 0.01). Spleen tissues of the drug group and the combination therapy group were sterile from 4 weeks. The serum IFN-γ levels of immuno-treatment group, drug group and combination therapy were (5.3 ± 1.9) ng/L, (1.3 ± 0.5) ng/L and (0.9 ± 1.3) ng/L, respectively, being significantly lower than that of the control group (10.3 ± 2.1) ng/L (F = 32.128, P < 0.01). The lung and spleen mass index, lung and spleen CFU, serum IFN-γ and IL-10 between medication group and combination therapy showed no significant differences. CONCLUSIONS: Immuno-treatment could mitigate lung tissue inflammation, reduce the number of MTB in mouse spleen tissues and decrease serum IFN-γ levels in the MDR-TB mouse model. However immuno-treatment failed to reduce the number of MTB in lung tissues. There was no adjunctive effect of immuno treatment for MDR-TB mice in reducing the number of MTB and mitigating inflammation.

[Protective effect of limb ischemic preconditioning against liver ischemia/reperfusion injury in the rat].

OBJECTIVE: To study the protective effect of limb ischemic preconditioning against liver ischemia/reperfusion injury in the rat. METHODS: Rats were randomly divided into four groups (n = 8): (1) Sham group (S group), rats without ischemic preconditioning (IPC), (2) Ischemia/reperfusion (I/R) without IP (I/R group); (3) Rats with 5 min IPC (IPC group); (4) Rats with lower limbs IPC and repeated three times (remote ischemic preconditioning, RPC group); The rats were subjected to 60-min sustained liver ischemia followed by 180-min reperfusion except S group. All ischemia rats were only subjected to 70% liver ischemia. Finally, blood and liver samples were obtained to determine the activity of ALT and AST, liver wet/dry weight (W/D), PMN counts and pathology. RESULTS: All IPC group and RPC group had obviously lower levels of ALT, AST, W/D, PMN counts than that of the I/R group (P < 0.01). CONCLUSION: The limb ischemic preconditioning has a protective effects against liver ischemia/reperfusion injury in the rat, possibly are due to suppression of liver inflammatory reaction, improvement of liver microcirculation.

[Expression and significance of GST-Pi and HIF-1alpha in bladder carcinoma].

BACKGROUND & OBJECTIVE: Multidrug resistance plays an important role in chemotherapy failure of bladder cancer, but its mechanism is unclear. Hypoxia in tumors is generally associated with chemoresistance. However, the correlation of nuclear transcription factor hypoxia-inducible factor-1 (HIF-1) to multidrug resistance transporter glutathione-S-transferase-Pi (GST-Pi) has not been investigated. This study was to explore the expression and significance of GST-Pi and its correlation to HIF-1alpha in bladder carcinoma by tissue microarray. METHODS: A tissue microarray containing 119 cases of bladder carcinoma and 6 cases of normal bladder tissue was built up. The expression of GST-Pi and HIF-1alpha was detected by SABC immunohistochemistry. RESULTS: In the 119 cases of bladder carcinoma, the positive rate of HIF-1alpha was 57.9%, the positive rate of GST-Pi was 67.2%. The positive rate of HIF-1alpha in G3 grade bladder carcinoma was 64.6%. Their expression was closely related to pathologic grade, clinical stage, and postoperative relapse after adjuvant chemotherapy (P<0.01). HIF-1alpha expression was positively related to GST-Pi expression (P<0.01). CONCLUSIONS: Overexpression of HIF-1alpha may be related to hypoxia. Co-expression of HIF-1alpha and GST-Pi is a object index for judging differentiation and chemoresistance of bladder cancer.

[Diagnosis and treatment of mesenteric venous thrombosis early after operation].

OBJECTIVE: To analyze the clinical characteristics diagnosis and treatment of patients with mesenteric venous thrombosis early after operation. METHODS: A retrospective study was performed on the clinical data of 7 patients with mesenteric venous thrombosis early after operation from 1990 to 2004. RESULTS: Patients had main clinical manifestations of severe abdominal pain and vomiting, but abdominal signs were slight. The systemic toxic symptoms occurred in 2 cases at late course. The examination of abdominal X- ray showed intestinal obstruction of all patients. Four patients received abdominal CT- scanning, of whom 3 patients were diagnosed as mesenteric venous thrombosis. Seven patients received exploratory operation. The necrotic intestinal segments were resected. Two patients had short intestinal syndromes after operation, one of them died of serious malnutrition. Four patients who had recurrence of portal, mesenteric and iliac venous thrombosis needed a long-term therapy of warfarin and aspirin after discharge. CONCLUSION: It is easy to make a mistake in diagnosis because of the lacking of characteristic clinical manifestations. Exploratory operation immediately plus anticoagulant therapy is strongly recommended.