The safety and effectiveness of magnetic resonance-guided focused ultrasound thalamotomy has been broadly established and validated for the treatment of essential tremor.In 2018,the first magnetic resonance-guided foc...The safety and effectiveness of magnetic resonance-guided focused ultrasound thalamotomy has been broadly established and validated for the treatment of essential tremor.In 2018,the first magnetic resonance-guided focused ultrasound system in Chinese mainland was installed at the First Medical Center of the PLA General Hospital.This prospective,single center,open-label,single-arm study was part of a worldwide prospective multicenter clinical trial(ClinicalTrials.gov Identifier:NCT03253991)conducted to confirm the safety and efficacy of magnetic resonance-guided focused ultrasound for treating essential tremor in the local population.From 2019 to 2020,10 patients with medication refractory essential tremor were recruited into this open-label,single arm study.The treatment efficacy was determined using the Clinical Rating Scale for Tremor.Safety was evaluated according to the incidence and severity of adverse events.All of the subjects underwent a unilateral thalamotomy targeting the ventral intermediate nucleus.At the baseline assessment,the estimated marginal mean of the Clinical Rating Scale for Tremor total score was 58.3±3.6,and this improved after treatment to 23.1±6.4 at a 12-month follow-up assessment.A total of 50 adverse events were recorded,and 2 were defined as serious.The most common intraoperative adverse events were nausea and headache.The most frequent postoperative adverse events were paresthesia and equilibrium disorder.Most of the adverse events were mild and usually disappeared within a few days.Our findings suggest that magnetic resonance-guided focused ultrasound for the treatment of essential tremor is effective,with a good safety profile,for patients in Chinese mainland.展开更多
The analysis of microstates in EEG signals is a crucial technique for understanding the spatiotemporal dynamics of brain electrical activity.Traditional methods such as Atomic Agglomerative Hierarchical Clustering(AAH...The analysis of microstates in EEG signals is a crucial technique for understanding the spatiotemporal dynamics of brain electrical activity.Traditional methods such as Atomic Agglomerative Hierarchical Clustering(AAHC),K-means clustering,Principal Component Analysis(PCA),and Independent Component Analysis(ICA)are limited by a fixed number of microstate maps and insufficient capability in cross-task feature extraction.Tackling these limitations,this study introduces a Global Map Dissimilarity(GMD)-driven density canopy K-means clustering algorithm.This innovative approach autonomously determines the optimal number of EEG microstate topographies and employs Gaussian kernel density estimation alongside the GMD index for dynamic modeling of EEG data.Utilizing this advanced algorithm,the study analyzes the Motor Imagery(MI)dataset from the GigaScience database,GigaDB.The findings reveal six distinct microstates during actual right-hand movement and five microstates across other task conditions,with microstate C showing superior performance in all task states.During imagined movement,microstate A was significantly enhanced.Comparison with existing algorithms indicates a significant improvement in clustering performance by the refined method,with an average Calinski-Harabasz Index(CHI)of 35517.29 and a Davis-Bouldin Index(DBI)average of 2.57.Furthermore,an information-theoretical analysis of the microstate sequences suggests that imagined movement exhibits higher complexity and disorder than actual movement.By utilizing the extracted microstate sequence parameters as features,the improved algorithm achieved a classification accuracy of 98.41%in EEG signal categorization for motor imagery.A performance of 78.183%accuracy was achieved in a four-class motor imagery task on the BCI-IV-2a dataset.These results demonstrate the potential of the advanced algorithm in microstate analysis,offering a more effective tool for a deeper understanding of the spatiotemporal features of EEG signals.展开更多
In addressing the challenge of motion artifacts in Positron Emission Tomography (PET) lung scans, our studyintroduces the Triple Equivariant Motion Transformer (TEMT), an innovative, unsupervised, deep-learningbasedfr...In addressing the challenge of motion artifacts in Positron Emission Tomography (PET) lung scans, our studyintroduces the Triple Equivariant Motion Transformer (TEMT), an innovative, unsupervised, deep-learningbasedframework for efficient respiratory motion correction in PET imaging. Unlike traditional techniques,which segment PET data into bins throughout a respiratory cycle and often face issues such as inefficiency andoveremphasis on certain artifacts, TEMT employs Convolutional Neural Networks (CNNs) for effective featureextraction and motion decomposition.TEMT’s unique approach involves transforming motion sequences into Liegroup domains to highlight fundamental motion patterns, coupled with employing competitive weighting forprecise target deformation field generation. Our empirical evaluations confirm TEMT’s superior performancein handling diverse PET lung datasets compared to existing image registration networks. Experimental resultsdemonstrate that TEMT achieved Dice indices of 91.40%, 85.41%, 79.78%, and 72.16% on simulated geometricphantom data, lung voxel phantom data, cardiopulmonary voxel phantom data, and clinical data, respectively. Tofacilitate further research and practical application, the TEMT framework, along with its implementation detailsand part of the simulation data, is made publicly accessible at https://github.com/yehaowei/temt.展开更多
Pancreatic diseases, including mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma(PDAC), present with similar imaging features, leading to diagnostic complexities. Deep Learning (DL) methods...Pancreatic diseases, including mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma(PDAC), present with similar imaging features, leading to diagnostic complexities. Deep Learning (DL) methodshave been shown to perform well on diagnostic tasks. Existing DL pancreatic lesion diagnosis studies basedon Magnetic Resonance Imaging (MRI) utilize the prior information to guide models to focus on the lesionregion. However, over-reliance on prior information may ignore the background information that is helpful fordiagnosis. This study verifies the diagnostic significance of the background information using a clinical dataset.Consequently, the Prior Difference Guidance Network (PDGNet) is proposed, merging decoupled lesion andbackground information via the Prior Normalization Fusion (PNF) strategy and the Feature Difference Guidance(FDG) module, to direct the model to concentrate on beneficial regions for diagnosis. Extensive experiments inthe clinical dataset demonstrate that the proposed method achieves promising diagnosis performance: PDGNetsbased on conventional networks record an ACC (Accuracy) and AUC (Area Under the Curve) of 87.50% and89.98%, marking improvements of 8.19% and 7.64% over the prior-free benchmark. Compared to lesion-focusedbenchmarks, the uplift is 6.14% and 6.02%. PDGNets based on advanced networks reach an ACC and AUC of89.77% and 92.80%. The study underscores the potential of harnessing background information in medical imagediagnosis, suggesting a more holistic view for future research.展开更多
Purpose: To report an unusual case of IgG4-related Mikulicz's disease associated with thyroiditis.Case report: We describe a 25-year-old Chinese man who presented with bilateral, painless swellings of the lachryma...Purpose: To report an unusual case of IgG4-related Mikulicz's disease associated with thyroiditis.Case report: We describe a 25-year-old Chinese man who presented with bilateral, painless swellings of the lachrymal glands, parotid glands, and thyroid nodules. The patient underwent left-sided dacryoadenectomy and the diagnosis of IgG4-related Mikulicz's disease was pathologically confirmed.The size of the right-sided lachrymal gland and parotid glands recovered fundamentally after one month of glucocorticoid therapy.Conclusion: IgG4-related Mikulicz's disease associated with thyroiditis should be considered in the differential diagnosis of bilateral swellings of lachrymal glands, salivary glands, and thyroid nodules. Surgical excision is recommended in order to treat the tumor and to ensure the pathological diagnosis. Glucocorticoid therapy should be considered in association with surgery after removal.展开更多
Purpose:To report a case of Leber hereditary optic neuropathy combined with fibrous boney dysplasia. Methods: Case report. Results:A 16-year-old boy presented with painless vision loss in both eyes. He had a history o...Purpose:To report a case of Leber hereditary optic neuropathy combined with fibrous boney dysplasia. Methods: Case report. Results:A 16-year-old boy presented with painless vision loss in both eyes. He had a history of a right humerus fracture and right femoral fracture surgery after an uncomplicated fall.On examination in our clinic, his visual acuity was counting fingers at 20 cm OD and counting fingers at 40 cm OS.Both pupils reacted sluggishly to light.The findings on slit-lamp examination and funduscopy after pupillary dilation were all unremarkable. Computed tomography scans demonstrated fibrous dysplasia involving the right frontal, temporal, parietal, and occipital bones but no stenosis of either optic canal. His serum alkaline phosphatase was 522 U/L (reference range: 40-150 U/L). His vision showed no improvement after intravenous methylprednisolone pulse therapy.Finally,a 11778 mitochondrial DNA mutation was detected. He still had no visual recovery after treatment with oral coenzyme Q10,vitamin B1, and citicoline. Conclusion:Fibrous dysplasia of bone may be associated with Leber hereditary optic neuropathy,possibly due to the fact that it increases local oxygen consumption. (Eye Science 2013; 28:48-50)展开更多
Purpose: To evaluate the efficacy of subconjunctival injections of Etoposide for retinoblastoma(RB) mice.Method: Twenty-five RB mice were divided into 5 groups for the study(G0～G4). GO for control group received 0.9%...Purpose: To evaluate the efficacy of subconjunctival injections of Etoposide for retinoblastoma(RB) mice.Method: Twenty-five RB mice were divided into 5 groups for the study(G0～G4). GO for control group received 0.9% sodium chloride injection subconjunctival. G1: 5 RB mice for systemic delivery received 6 systemic administration of Etoposide 150 μg and Cyclosporin A (CSA)1.0mg at 3 days intervals, respectively. G2～G4:5 RB mice in each group received 6 subconjunctival delivery of Etoposide in 50、75、150μg at 3 days intervals, respectively.To observe the changes of the volume of RB in anterior chamber and the part of conjunctiva for injections of chemotherapeutic drugs. All eyes and conjunctiva and scleras of the part for drugs injections were obtained at 6 weeks after experiment for histopathologic examination. The findings under the light microscope were analysed with software to measure the areas of RB in anterior chambers and the tumor inhibition rate.Results:The volume of RB in anterior chambers for G1 and G2 increase quickly and none of the mice exhibited tumor control. The RB volume increase slowly in G3 and exhibit tumor control in G4. The areas of tumors in G0～G4 are 0.710,0.659,0.634,0.515,0.235 mm2, respectively. The rate for tumor inhibition in G0～G4 are 0.0%,7.18%, 10.70% ,27.43% ,66.90%, respectively. There are statistical significant difference between the G1 and G4 for the volumes of tumors and the rate of tumor inhibition.The pathologic examination of subconjunctiva and sclera for the injective sites showed no pathologic changes.Conclusions: There are significant effects for the method of subconjunctival delivery of Etoposide in RB control, demonstrating a positive dose-related relationship. Subconjunctival injection of Etoposide reached better efficacy in controlling and inhibiting RB cells than systemic delivery of Etoposide for the same dose. The pathologic results showed the subconjunctival delivery of etoposide were safety for conjunctiva and sclera. It would be one of effective and safety method of chemotherapy for RB.展开更多
Mesopelagic fish(meso-fish)are central species within the Southern Ocean(SO).However,their ecosystem role and adaptive capacity to climate change are rarely integrated into protected areas assessments.This is a pity g...Mesopelagic fish(meso-fish)are central species within the Southern Ocean(SO).However,their ecosystem role and adaptive capacity to climate change are rarely integrated into protected areas assessments.This is a pity given their importance as crucial prey and predators in food webs,coupled with the impacts of climate change.Here,we estimate the habitat distribution of nine meso-fish using an ensemble model approach(MAXENT,random forest,and boosted regression tree).Four climate model simulations were used to project their distribution under two representative concentration pathways(RCP4.5 and RCP8.5)for short-term(2006–2055)and long-term(2050–2099)periods.In addition,we assess the ecological representativeness of protected areas under climate change scenarios using meso-fish as indicator species.Our models show that all species shift poleward in the future.Lanternfishes(family Myctophidae)are predicted to migrate poleward more than other families(Paralepididae,Nototheniidae,Bathylagidae,and Gonostomatidae).In comparison,lanternfishes were projected to increase habitat area in the eastern SO but lose area in the western SO;the opposite was projected for species in other families.Important areas(IAs)of meso-fish are mainly distributed near the Antarctic Peninsula and East Antarctica.Negotiated protected area cover 23% of IAs at present and 38%of IAs in the future(RCP8.5,long-term future).Many IAs of meso-fish still need to be included in protected areas,such as the Prydz Bay and the seas around the Antarctic Peninsula.Our results provide a framework for evaluating protected areas incorporating climate change adaptation strategies for protected areas management.展开更多
The author wants to highlight the important role of mes-opelagic fish in the conservation of marine living resources.Therefore,in order to further clarify and focus research point on the conservation of marine living ...The author wants to highlight the important role of mes-opelagic fish in the conservation of marine living resources.Therefore,in order to further clarify and focus research point on the conservation of marine living resources,the authors replaced the MPA with the protected areas,and slightly modified several other vague places.In these corrections,most of them are the replacement of the terms.展开更多
The Southern Ocean breeds a special ecosystem.The evolution and adaptability of Antarctic marine organisms is a key research field of the Scientific Committee on Antarctic Research.The study of the Antarctic marine ec...The Southern Ocean breeds a special ecosystem.The evolution and adaptability of Antarctic marine organisms is a key research field of the Scientific Committee on Antarctic Research.The study of the Antarctic marine ecosystem is also one of the tasks of Chinese National Antarctic Research Expedition(CHINARE).However,the early investigations by Chinese scientists mainly focused on plankton and benthos,as well as their environmental variables.Since 2019,financially supported by National Polar Special Program“Impact and Response of Antarctic Seas to Climate Change”(IRASCC),the research objects have been gradually expanded to large marine animal,such as birds and mammals,and other related disciplines.展开更多
Today the developed yarn muscles or actuators still cannot satisfy the requirements of working in high-temperature environ-ments.Thermal resistivity is highly needed in aerospace and industrial protection applications...Today the developed yarn muscles or actuators still cannot satisfy the requirements of working in high-temperature environ-ments.Thermal resistivity is highly needed in aerospace and industrial protection applications.Herein,an artificial muscle with high-temperature tolerance is prepared using carbon nanotube(CNT)wrapped poly(p-phenylene benzobisoxazole)(PBO)composite yarns.A thermal twisting method was utilized to reorientate the stiff PBO molecular chains into a uniform and twist-stable coiled structure.The CNT/PBO composite yarn muscle generates reversible contractile strokes up to 18.9%under 5.4 MPa tension and outputs 1.3 kJ kg^(-1) energy density.In contrast to previous actuators,which are normally oper-ated at room temperatures,the CNT/PBO composite yarn muscles can work at ambient temperatures up to 300℃ with high contractile stroke and long-term stability.A bionic inchworm robot,a deployable structure,and smart textiles driven by the high-temperature-tolerant yarn muscles were demonstrated,showing the promise as a soft actuator towards high-temperature environment applications.展开更多
Dengue is the most prevalent and rapidly spreading mosquito-borne viral disease.As a dengue non-endemic country,China has experienced several dengue outbreaks in recent years.However,dengue patients in China display c...Dengue is the most prevalent and rapidly spreading mosquito-borne viral disease.As a dengue non-endemic country,China has experienced several dengue outbreaks in recent years.However,dengue patients in China display clinical characteristics that are distinct from those of patients in dengue-endemic countries.To standardize the diagnosis and treatment of dengue fever,the experts at the Society of Infectious Diseases,Society of Tropical Medicine and Parasitology of the Chinese Medical Association,and the Society of Emergency Medicine of China Association of Chinese Medicine have developed a guideline after reviewing the following guidelines and data:guidelines for diagnosis,treatment,prevention,and control of dengue(World Health Organization,2009);the guidelines for diagnosis and treatment of dengue(National Health and Family Planning Commission of the People’s Republic of China,2014,Edition 2);health industry standard of the People’s Republic of China“diagnosis for dengue fever(WS216-2018)”;and systemic reports on dengue.The new guideline includes eight aspects:introduction,terminology,epidemiology and prevention,etiology and pathogenesis,clinical features,diagnosis,treatment,and problems to be solved.展开更多
Bacterial diversity was investigated in soil samples collected from 13 sites around the Great Wall Station, Fildes Peninsula, King George Island, Antarctica, using denaturing gradient gel electrophoresis （DGGE） of 1...Bacterial diversity was investigated in soil samples collected from 13 sites around the Great Wall Station, Fildes Peninsula, King George Island, Antarctica, using denaturing gradient gel electrophoresis （DGGE） of 16S rRNA genes. The classes α-, β-, and γ-Proteobacteria, as well as the phylum Actinobacteria, were found to be the dominant bacteria in the soils around the Great Wall Station. Although the selected samples were not contaminated by oil, a relationship between soil parameters, microbial biodiversity, and human impact was still seen. Sample sites in human impacted areas showed lower bacterial biodiversity （average H′= 2.65） when compared to nonimpacted sites （average H′= 3.05）. There was no statistically significant correlation between soil bacterial diversity and total organic carbon （TOC）, total nitrogen, or total phosphorus contents of the soil. Canonical correlation analysis showed that TOC content was the most important factor determining bacterial community profiles among the measured soil parameters. In conclusion, microbial biodiversity and community characteristics within relatively small scales （1.5 km） were determined as a function of local environment parameters and anthropogenic impact.展开更多
基金sponsored by Insightec Co.Ltd.(Israel)China National Clinical Research Center for Geriatrics,No.NCRCG-PLAGH-2019005 (to LP)
文摘The safety and effectiveness of magnetic resonance-guided focused ultrasound thalamotomy has been broadly established and validated for the treatment of essential tremor.In 2018,the first magnetic resonance-guided focused ultrasound system in Chinese mainland was installed at the First Medical Center of the PLA General Hospital.This prospective,single center,open-label,single-arm study was part of a worldwide prospective multicenter clinical trial(ClinicalTrials.gov Identifier:NCT03253991)conducted to confirm the safety and efficacy of magnetic resonance-guided focused ultrasound for treating essential tremor in the local population.From 2019 to 2020,10 patients with medication refractory essential tremor were recruited into this open-label,single arm study.The treatment efficacy was determined using the Clinical Rating Scale for Tremor.Safety was evaluated according to the incidence and severity of adverse events.All of the subjects underwent a unilateral thalamotomy targeting the ventral intermediate nucleus.At the baseline assessment,the estimated marginal mean of the Clinical Rating Scale for Tremor total score was 58.3±3.6,and this improved after treatment to 23.1±6.4 at a 12-month follow-up assessment.A total of 50 adverse events were recorded,and 2 were defined as serious.The most common intraoperative adverse events were nausea and headache.The most frequent postoperative adverse events were paresthesia and equilibrium disorder.Most of the adverse events were mild and usually disappeared within a few days.Our findings suggest that magnetic resonance-guided focused ultrasound for the treatment of essential tremor is effective,with a good safety profile,for patients in Chinese mainland.
基金funded by National Nature Science Foundation of China,Yunnan Funda-Mental Research Projects,Special Project of Guangdong Province in Key Fields of Ordinary Colleges and Universities and Chaozhou Science and Technology Plan Project of Funder Grant Numbers 82060329,202201AT070108,2023ZDZX2038 and 202201GY01.
文摘The analysis of microstates in EEG signals is a crucial technique for understanding the spatiotemporal dynamics of brain electrical activity.Traditional methods such as Atomic Agglomerative Hierarchical Clustering(AAHC),K-means clustering,Principal Component Analysis(PCA),and Independent Component Analysis(ICA)are limited by a fixed number of microstate maps and insufficient capability in cross-task feature extraction.Tackling these limitations,this study introduces a Global Map Dissimilarity(GMD)-driven density canopy K-means clustering algorithm.This innovative approach autonomously determines the optimal number of EEG microstate topographies and employs Gaussian kernel density estimation alongside the GMD index for dynamic modeling of EEG data.Utilizing this advanced algorithm,the study analyzes the Motor Imagery(MI)dataset from the GigaScience database,GigaDB.The findings reveal six distinct microstates during actual right-hand movement and five microstates across other task conditions,with microstate C showing superior performance in all task states.During imagined movement,microstate A was significantly enhanced.Comparison with existing algorithms indicates a significant improvement in clustering performance by the refined method,with an average Calinski-Harabasz Index(CHI)of 35517.29 and a Davis-Bouldin Index(DBI)average of 2.57.Furthermore,an information-theoretical analysis of the microstate sequences suggests that imagined movement exhibits higher complexity and disorder than actual movement.By utilizing the extracted microstate sequence parameters as features,the improved algorithm achieved a classification accuracy of 98.41%in EEG signal categorization for motor imagery.A performance of 78.183%accuracy was achieved in a four-class motor imagery task on the BCI-IV-2a dataset.These results demonstrate the potential of the advanced algorithm in microstate analysis,offering a more effective tool for a deeper understanding of the spatiotemporal features of EEG signals.
基金the National Natural Science Foundation of China(No.82160347)Yunnan Provincial Science and Technology Department(No.202102AE090031)Yunnan Key Laboratory of Smart City in Cyberspace Security(No.202105AG070010).
文摘In addressing the challenge of motion artifacts in Positron Emission Tomography (PET) lung scans, our studyintroduces the Triple Equivariant Motion Transformer (TEMT), an innovative, unsupervised, deep-learningbasedframework for efficient respiratory motion correction in PET imaging. Unlike traditional techniques,which segment PET data into bins throughout a respiratory cycle and often face issues such as inefficiency andoveremphasis on certain artifacts, TEMT employs Convolutional Neural Networks (CNNs) for effective featureextraction and motion decomposition.TEMT’s unique approach involves transforming motion sequences into Liegroup domains to highlight fundamental motion patterns, coupled with employing competitive weighting forprecise target deformation field generation. Our empirical evaluations confirm TEMT’s superior performancein handling diverse PET lung datasets compared to existing image registration networks. Experimental resultsdemonstrate that TEMT achieved Dice indices of 91.40%, 85.41%, 79.78%, and 72.16% on simulated geometricphantom data, lung voxel phantom data, cardiopulmonary voxel phantom data, and clinical data, respectively. Tofacilitate further research and practical application, the TEMT framework, along with its implementation detailsand part of the simulation data, is made publicly accessible at https://github.com/yehaowei/temt.
基金the National Natural Science Foundation of China(No.82160347)Yunnan Key Laboratory of Smart City in Cyberspace Security(No.202105AG070010)Project of Medical Discipline Leader of Yunnan Province(D-2018012).
文摘Pancreatic diseases, including mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma(PDAC), present with similar imaging features, leading to diagnostic complexities. Deep Learning (DL) methodshave been shown to perform well on diagnostic tasks. Existing DL pancreatic lesion diagnosis studies basedon Magnetic Resonance Imaging (MRI) utilize the prior information to guide models to focus on the lesionregion. However, over-reliance on prior information may ignore the background information that is helpful fordiagnosis. This study verifies the diagnostic significance of the background information using a clinical dataset.Consequently, the Prior Difference Guidance Network (PDGNet) is proposed, merging decoupled lesion andbackground information via the Prior Normalization Fusion (PNF) strategy and the Feature Difference Guidance(FDG) module, to direct the model to concentrate on beneficial regions for diagnosis. Extensive experiments inthe clinical dataset demonstrate that the proposed method achieves promising diagnosis performance: PDGNetsbased on conventional networks record an ACC (Accuracy) and AUC (Area Under the Curve) of 87.50% and89.98%, marking improvements of 8.19% and 7.64% over the prior-free benchmark. Compared to lesion-focusedbenchmarks, the uplift is 6.14% and 6.02%. PDGNets based on advanced networks reach an ACC and AUC of89.77% and 92.80%. The study underscores the potential of harnessing background information in medical imagediagnosis, suggesting a more holistic view for future research.
基金supported by the National Natural Science Foundation of China(No.81260149,No.81360152)
文摘Purpose: To report an unusual case of IgG4-related Mikulicz's disease associated with thyroiditis.Case report: We describe a 25-year-old Chinese man who presented with bilateral, painless swellings of the lachrymal glands, parotid glands, and thyroid nodules. The patient underwent left-sided dacryoadenectomy and the diagnosis of IgG4-related Mikulicz's disease was pathologically confirmed.The size of the right-sided lachrymal gland and parotid glands recovered fundamentally after one month of glucocorticoid therapy.Conclusion: IgG4-related Mikulicz's disease associated with thyroiditis should be considered in the differential diagnosis of bilateral swellings of lachrymal glands, salivary glands, and thyroid nodules. Surgical excision is recommended in order to treat the tumor and to ensure the pathological diagnosis. Glucocorticoid therapy should be considered in association with surgery after removal.
文摘Purpose:To report a case of Leber hereditary optic neuropathy combined with fibrous boney dysplasia. Methods: Case report. Results:A 16-year-old boy presented with painless vision loss in both eyes. He had a history of a right humerus fracture and right femoral fracture surgery after an uncomplicated fall.On examination in our clinic, his visual acuity was counting fingers at 20 cm OD and counting fingers at 40 cm OS.Both pupils reacted sluggishly to light.The findings on slit-lamp examination and funduscopy after pupillary dilation were all unremarkable. Computed tomography scans demonstrated fibrous dysplasia involving the right frontal, temporal, parietal, and occipital bones but no stenosis of either optic canal. His serum alkaline phosphatase was 522 U/L (reference range: 40-150 U/L). His vision showed no improvement after intravenous methylprednisolone pulse therapy.Finally,a 11778 mitochondrial DNA mutation was detected. He still had no visual recovery after treatment with oral coenzyme Q10,vitamin B1, and citicoline. Conclusion:Fibrous dysplasia of bone may be associated with Leber hereditary optic neuropathy,possibly due to the fact that it increases local oxygen consumption. (Eye Science 2013; 28:48-50)
基金This study was supported by the Medical Science Techology and Research Fund of Guangdong Province (grant no. A20004217)
文摘Purpose: To evaluate the efficacy of subconjunctival injections of Etoposide for retinoblastoma(RB) mice.Method: Twenty-five RB mice were divided into 5 groups for the study(G0～G4). GO for control group received 0.9% sodium chloride injection subconjunctival. G1: 5 RB mice for systemic delivery received 6 systemic administration of Etoposide 150 μg and Cyclosporin A (CSA)1.0mg at 3 days intervals, respectively. G2～G4:5 RB mice in each group received 6 subconjunctival delivery of Etoposide in 50、75、150μg at 3 days intervals, respectively.To observe the changes of the volume of RB in anterior chamber and the part of conjunctiva for injections of chemotherapeutic drugs. All eyes and conjunctiva and scleras of the part for drugs injections were obtained at 6 weeks after experiment for histopathologic examination. The findings under the light microscope were analysed with software to measure the areas of RB in anterior chambers and the tumor inhibition rate.Results:The volume of RB in anterior chambers for G1 and G2 increase quickly and none of the mice exhibited tumor control. The RB volume increase slowly in G3 and exhibit tumor control in G4. The areas of tumors in G0～G4 are 0.710,0.659,0.634,0.515,0.235 mm2, respectively. The rate for tumor inhibition in G0～G4 are 0.0%,7.18%, 10.70% ,27.43% ,66.90%, respectively. There are statistical significant difference between the G1 and G4 for the volumes of tumors and the rate of tumor inhibition.The pathologic examination of subconjunctiva and sclera for the injective sites showed no pathologic changes.Conclusions: There are significant effects for the method of subconjunctival delivery of Etoposide in RB control, demonstrating a positive dose-related relationship. Subconjunctival injection of Etoposide reached better efficacy in controlling and inhibiting RB cells than systemic delivery of Etoposide for the same dose. The pathologic results showed the subconjunctival delivery of etoposide were safety for conjunctiva and sclera. It would be one of effective and safety method of chemotherapy for RB.
基金supported by the research project“Impact and Response of Antarctic Seas to Climate Change”(IRASCC2020-2022-No.01-02-05C)from the Chinese Arctic and Antarctic Administration,Ministry of Natural Resources of the People’s Republic of China.
文摘Mesopelagic fish(meso-fish)are central species within the Southern Ocean(SO).However,their ecosystem role and adaptive capacity to climate change are rarely integrated into protected areas assessments.This is a pity given their importance as crucial prey and predators in food webs,coupled with the impacts of climate change.Here,we estimate the habitat distribution of nine meso-fish using an ensemble model approach(MAXENT,random forest,and boosted regression tree).Four climate model simulations were used to project their distribution under two representative concentration pathways(RCP4.5 and RCP8.5)for short-term(2006–2055)and long-term(2050–2099)periods.In addition,we assess the ecological representativeness of protected areas under climate change scenarios using meso-fish as indicator species.Our models show that all species shift poleward in the future.Lanternfishes(family Myctophidae)are predicted to migrate poleward more than other families(Paralepididae,Nototheniidae,Bathylagidae,and Gonostomatidae).In comparison,lanternfishes were projected to increase habitat area in the eastern SO but lose area in the western SO;the opposite was projected for species in other families.Important areas(IAs)of meso-fish are mainly distributed near the Antarctic Peninsula and East Antarctica.Negotiated protected area cover 23% of IAs at present and 38%of IAs in the future(RCP8.5,long-term future).Many IAs of meso-fish still need to be included in protected areas,such as the Prydz Bay and the seas around the Antarctic Peninsula.Our results provide a framework for evaluating protected areas incorporating climate change adaptation strategies for protected areas management.
文摘The author wants to highlight the important role of mes-opelagic fish in the conservation of marine living resources.Therefore,in order to further clarify and focus research point on the conservation of marine living resources,the authors replaced the MPA with the protected areas,and slightly modified several other vague places.In these corrections,most of them are the replacement of the terms.
文摘The Southern Ocean breeds a special ecosystem.The evolution and adaptability of Antarctic marine organisms is a key research field of the Scientific Committee on Antarctic Research.The study of the Antarctic marine ecosystem is also one of the tasks of Chinese National Antarctic Research Expedition(CHINARE).However,the early investigations by Chinese scientists mainly focused on plankton and benthos,as well as their environmental variables.Since 2019,financially supported by National Polar Special Program“Impact and Response of Antarctic Seas to Climate Change”(IRASCC),the research objects have been gradually expanded to large marine animal,such as birds and mammals,and other related disciplines.
基金The authors acknowledge the financial support obtained from the National Key Research and Development Program of China(2020YFB1312902)the National Natural Science Foundation of China(21975281)The authors are also grateful for the technical support for Nano-X from Suzhou Institute of Nano-Tech and Nano-Bionics,Chinese Academy of Sciences(SINANO).
文摘Today the developed yarn muscles or actuators still cannot satisfy the requirements of working in high-temperature environ-ments.Thermal resistivity is highly needed in aerospace and industrial protection applications.Herein,an artificial muscle with high-temperature tolerance is prepared using carbon nanotube(CNT)wrapped poly(p-phenylene benzobisoxazole)(PBO)composite yarns.A thermal twisting method was utilized to reorientate the stiff PBO molecular chains into a uniform and twist-stable coiled structure.The CNT/PBO composite yarn muscle generates reversible contractile strokes up to 18.9%under 5.4 MPa tension and outputs 1.3 kJ kg^(-1) energy density.In contrast to previous actuators,which are normally oper-ated at room temperatures,the CNT/PBO composite yarn muscles can work at ambient temperatures up to 300℃ with high contractile stroke and long-term stability.A bionic inchworm robot,a deployable structure,and smart textiles driven by the high-temperature-tolerant yarn muscles were demonstrated,showing the promise as a soft actuator towards high-temperature environment applications.
基金supported byNational KeyR&DProgramof China(2020YFC1200100)National Science and Technology Major Project of China(2017ZX10305501-003)+2 种基金Special Program of Science and Technology of Guangdong Province(2013A020229001,2013A020229002)The Major Program of Guangzhou Healthcare Collaborative Innovation(201508020263,201803040006)Pilot Project of Guangzhou Clinical Medicine Research And Transformation Center(2014Y2-00550).
文摘Dengue is the most prevalent and rapidly spreading mosquito-borne viral disease.As a dengue non-endemic country,China has experienced several dengue outbreaks in recent years.However,dengue patients in China display clinical characteristics that are distinct from those of patients in dengue-endemic countries.To standardize the diagnosis and treatment of dengue fever,the experts at the Society of Infectious Diseases,Society of Tropical Medicine and Parasitology of the Chinese Medical Association,and the Society of Emergency Medicine of China Association of Chinese Medicine have developed a guideline after reviewing the following guidelines and data:guidelines for diagnosis,treatment,prevention,and control of dengue(World Health Organization,2009);the guidelines for diagnosis and treatment of dengue(National Health and Family Planning Commission of the People’s Republic of China,2014,Edition 2);health industry standard of the People’s Republic of China“diagnosis for dengue fever(WS216-2018)”;and systemic reports on dengue.The new guideline includes eight aspects:introduction,terminology,epidemiology and prevention,etiology and pathogenesis,clinical features,diagnosis,treatment,and problems to be solved.
基金supported by the National Natural Science Foundation of China (No. 51108331)the Chinese Polar Environment Comprehensive Investigation and Assessment Programmes (No. CHINARE2012-02-01-08, CHINARE2013-02-01-08, CHINARE2013-04-01-07)
文摘Bacterial diversity was investigated in soil samples collected from 13 sites around the Great Wall Station, Fildes Peninsula, King George Island, Antarctica, using denaturing gradient gel electrophoresis （DGGE） of 16S rRNA genes. The classes α-, β-, and γ-Proteobacteria, as well as the phylum Actinobacteria, were found to be the dominant bacteria in the soils around the Great Wall Station. Although the selected samples were not contaminated by oil, a relationship between soil parameters, microbial biodiversity, and human impact was still seen. Sample sites in human impacted areas showed lower bacterial biodiversity （average H′= 2.65） when compared to nonimpacted sites （average H′= 3.05）. There was no statistically significant correlation between soil bacterial diversity and total organic carbon （TOC）, total nitrogen, or total phosphorus contents of the soil. Canonical correlation analysis showed that TOC content was the most important factor determining bacterial community profiles among the measured soil parameters. In conclusion, microbial biodiversity and community characteristics within relatively small scales （1.5 km） were determined as a function of local environment parameters and anthropogenic impact.
