The gut microbiota is recognized as an endocrine organ with the capacity to influence distant organs and associated biological pathways.Recent advan-cements underscore the critical role of gut microbial homeostasis in...The gut microbiota is recognized as an endocrine organ with the capacity to influence distant organs and associated biological pathways.Recent advan-cements underscore the critical role of gut microbial homeostasis in female health;with dysbiosis potentially leading to diseases among women such as polycystic ovarian syndrome,endometriosis,breast cancer,cervical cancer,and ovarian cancer etc.Despite this,there has been limited discussion on the underlying mechanisms.This editorial explores the three potential mechanisms through which gut microbiota dysbiosis may impact the development of diseases among women,namely,the immune system,the gut microbiota-estrogen axis,and the metabolite pathway.We focused on approaches for treating diseases in women by addressing gut microbiota imbalances through probiotics,prebiotics supple-mentation,and fecal microbiota transplantation(FMT).Future studies should focus on determining the molecular mechanisms underlying associations between dysbiosis of gut microbiota and female diseases to realize precision medicine,with FMT emerging as a promising intervention.展开更多
Recently,biological drugs have played a leading role in the treatment of inflammatory bowel disease,and therapeutic drug monitoring(TDM)may be useful in maximizing their effectiveness.TDM involves the measurement of s...Recently,biological drugs have played a leading role in the treatment of inflammatory bowel disease,and therapeutic drug monitoring(TDM)may be useful in maximizing their effectiveness.TDM involves the measurement of serum drug and anti-drug antibodies concentrations as the basis for dosage adjustments or drug conversions to achieve a higher response rate.We believe that concentration thresholds should be individualized based on patients’disease severity,extent and phenotype,and therapeutic purposes should also be considered,with higher cut-offs mainly needed for endoscopic and fistula healing than for symptomatic remission.Proactive and reactive TDM can help optimize treatment,especially in patients receiving anti-tumour necrosis factor,and guide dose adjustment or drug conversion with lower cost.TDM is a promising approach to achieve precision medicine and targeted medicine in the future.展开更多
The impact of pesticides on insect pollinators has caused worldwide concern. Both global bee decline and stopping the use of pesticides may have serious consequences for food security. Automated and accurate predictio...The impact of pesticides on insect pollinators has caused worldwide concern. Both global bee decline and stopping the use of pesticides may have serious consequences for food security. Automated and accurate prediction of chemical poisoning of honey bees is a challenging task owing to a lack of understanding of chemical toxicity and introspection. Deep learning(DL) shows potential utility for general and highly variable tasks across fields. Here, we developed a new DL model of deep graph attention convolutional neural networks(GACNN) with the combination of undirected graph(UG) and attention convolutional neural networks(ACNN) to accurately classify chemical poisoning of honey bees. We used a training dataset of 720 pesticides and an external validation dataset of 90 pesticides, which is one order of magnitude larger than the previous datasets. We tested its performance in two ways: poisonous versus nonpoisonous and GACNN versus other frequently-used machine learning models. The first case represents the accuracy in identifying bee poisonous chemicals. The second represents performance advantages. The GACNN achieved ~6% higher performance for predicting toxic samples and more stable with ~7%Matthews Correlation Coefficient(MCC) higher compared to all tested models, demonstrating GACNN is capable of accurately classifying chemicals and has considerable potential in practical applications.In addition, we also summarized and evaluated the mechanisms underlying the response of honey bees to chemical exposure based on the mapping of molecular similarity. Moreover, our cloud platform(http://beetox.cn) of this model provides low-cost universal access to information, which could vitally enhance environmental risk assessment.展开更多
Uridine diphosphate(UDP)-glycosyltransferases(UGTS)are widely distributed within living organisms and share roles in biotransformation of various lipophilic endo-and xenobiotics with activated UDP sugars.In this study...Uridine diphosphate(UDP)-glycosyltransferases(UGTS)are widely distributed within living organisms and share roles in biotransformation of various lipophilic endo-and xenobiotics with activated UDP sugars.In this study,it was found that the activity of UGTs in abamectin-resistant(AbR)strain was significantly higher(2.3-fod)than that in susceptible strain(SS)of Tetramychus cinnabarinus.Further analysis showed that 5-nitrouracil,the inhibitor ofUGTs,could enhance the lethal effect of abamectin on mites.From the previous microarray results,we found an UGT gene(UGT201D3)overexpressed in AbR strain.Quantitative PCR analysis showed that UGT20ID3 was highly expressed and more inducible with abamectin exposure in the AbR strain.After silencing the tran-scription of UGT201D3,the activity of UGTs was decreased and the susceptibility to abamectin was increased in AbR strain whereas it was not in sS.Furthermore,UGT201D3 gene was then succefully expressed in Escherichia coli.The recombinant UGT20ID3 exhibited a-naphthol activity(2.810.43 nmol mg protein/min),and the enzyme activity could be inhibited by abamectin(inhibitory concentration at 50%:57.50±3.54 μmol/L).High-performance liquid chromatography analysis demonstrated that the recombinant UGT201D3 could efctively deplete abamectin(15.77%±3.72%)incubating with 150 ug protein for 6 h.These results provided direct evidence that UGT201D3 was involved in abamectin resistance in T cinnabarinus.展开更多
A 46-year old woman (gravida 3, para 1) presented at West China Second Hospital with complaints of a space-occupying lesion in the uterus that, 2 years before, had been diagnosed as a uterine cyst at West China Second...A 46-year old woman (gravida 3, para 1) presented at West China Second Hospital with complaints of a space-occupying lesion in the uterus that, 2 years before, had been diagnosed as a uterine cyst at West China Second Hospital. On that previous occasion, B-ultrasonography revealed a cystic mass with a compartmentalized structure (10.3 × 5.4 × 8.8 cm) on the left side of the pelvic cavity, and laparoscopic exploration found a cystic mass on the posterior uterine wall, which was diagnosed as "leiomyoma with cystic degeneration" based on pathology analysis of flash-frozen surgical tissues. Laparoscopic "myomectomy" was performed, and pathology analysis of paraffin-embedded tissue confirmed "leiomyoma with degeneration." Immunohistochemistry showed the lesion to be positive for caldesmon but negative for CD10. Rate of Ki67 positivity was less than 1%, indicating a benign lesion. The woman recovered well after the operation. Follow-up ultrasonography at 3 months after surgery identified a uterine cystic mass of 3.0 × 2.5 × 1.7 cm.展开更多
基金Supported by Science and Technology Plan of Liaoning Province,No.2022JH2/101500063.
文摘The gut microbiota is recognized as an endocrine organ with the capacity to influence distant organs and associated biological pathways.Recent advan-cements underscore the critical role of gut microbial homeostasis in female health;with dysbiosis potentially leading to diseases among women such as polycystic ovarian syndrome,endometriosis,breast cancer,cervical cancer,and ovarian cancer etc.Despite this,there has been limited discussion on the underlying mechanisms.This editorial explores the three potential mechanisms through which gut microbiota dysbiosis may impact the development of diseases among women,namely,the immune system,the gut microbiota-estrogen axis,and the metabolite pathway.We focused on approaches for treating diseases in women by addressing gut microbiota imbalances through probiotics,prebiotics supple-mentation,and fecal microbiota transplantation(FMT).Future studies should focus on determining the molecular mechanisms underlying associations between dysbiosis of gut microbiota and female diseases to realize precision medicine,with FMT emerging as a promising intervention.
文摘Recently,biological drugs have played a leading role in the treatment of inflammatory bowel disease,and therapeutic drug monitoring(TDM)may be useful in maximizing their effectiveness.TDM involves the measurement of serum drug and anti-drug antibodies concentrations as the basis for dosage adjustments or drug conversions to achieve a higher response rate.We believe that concentration thresholds should be individualized based on patients’disease severity,extent and phenotype,and therapeutic purposes should also be considered,with higher cut-offs mainly needed for endoscopic and fistula healing than for symptomatic remission.Proactive and reactive TDM can help optimize treatment,especially in patients receiving anti-tumour necrosis factor,and guide dose adjustment or drug conversion with lower cost.TDM is a promising approach to achieve precision medicine and targeted medicine in the future.
基金This work was supported in part by the National Key Research and Development Program of China(2017YFD0200506)the National Natural Science Foundation of China(21837001 and 21907036).
文摘The impact of pesticides on insect pollinators has caused worldwide concern. Both global bee decline and stopping the use of pesticides may have serious consequences for food security. Automated and accurate prediction of chemical poisoning of honey bees is a challenging task owing to a lack of understanding of chemical toxicity and introspection. Deep learning(DL) shows potential utility for general and highly variable tasks across fields. Here, we developed a new DL model of deep graph attention convolutional neural networks(GACNN) with the combination of undirected graph(UG) and attention convolutional neural networks(ACNN) to accurately classify chemical poisoning of honey bees. We used a training dataset of 720 pesticides and an external validation dataset of 90 pesticides, which is one order of magnitude larger than the previous datasets. We tested its performance in two ways: poisonous versus nonpoisonous and GACNN versus other frequently-used machine learning models. The first case represents the accuracy in identifying bee poisonous chemicals. The second represents performance advantages. The GACNN achieved ~6% higher performance for predicting toxic samples and more stable with ~7%Matthews Correlation Coefficient(MCC) higher compared to all tested models, demonstrating GACNN is capable of accurately classifying chemicals and has considerable potential in practical applications.In addition, we also summarized and evaluated the mechanisms underlying the response of honey bees to chemical exposure based on the mapping of molecular similarity. Moreover, our cloud platform(http://beetox.cn) of this model provides low-cost universal access to information, which could vitally enhance environmental risk assessment.
基金by Chongqing Research Program of Basic Research and Frontier Technology(No.cstc2017jcyjBX0061)the National Natural Science Foundation of China(31672085).
文摘Uridine diphosphate(UDP)-glycosyltransferases(UGTS)are widely distributed within living organisms and share roles in biotransformation of various lipophilic endo-and xenobiotics with activated UDP sugars.In this study,it was found that the activity of UGTs in abamectin-resistant(AbR)strain was significantly higher(2.3-fod)than that in susceptible strain(SS)of Tetramychus cinnabarinus.Further analysis showed that 5-nitrouracil,the inhibitor ofUGTs,could enhance the lethal effect of abamectin on mites.From the previous microarray results,we found an UGT gene(UGT201D3)overexpressed in AbR strain.Quantitative PCR analysis showed that UGT20ID3 was highly expressed and more inducible with abamectin exposure in the AbR strain.After silencing the tran-scription of UGT201D3,the activity of UGTs was decreased and the susceptibility to abamectin was increased in AbR strain whereas it was not in sS.Furthermore,UGT201D3 gene was then succefully expressed in Escherichia coli.The recombinant UGT20ID3 exhibited a-naphthol activity(2.810.43 nmol mg protein/min),and the enzyme activity could be inhibited by abamectin(inhibitory concentration at 50%:57.50±3.54 μmol/L).High-performance liquid chromatography analysis demonstrated that the recombinant UGT201D3 could efctively deplete abamectin(15.77%±3.72%)incubating with 150 ug protein for 6 h.These results provided direct evidence that UGT201D3 was involved in abamectin resistance in T cinnabarinus.
文摘A 46-year old woman (gravida 3, para 1) presented at West China Second Hospital with complaints of a space-occupying lesion in the uterus that, 2 years before, had been diagnosed as a uterine cyst at West China Second Hospital. On that previous occasion, B-ultrasonography revealed a cystic mass with a compartmentalized structure (10.3 × 5.4 × 8.8 cm) on the left side of the pelvic cavity, and laparoscopic exploration found a cystic mass on the posterior uterine wall, which was diagnosed as "leiomyoma with cystic degeneration" based on pathology analysis of flash-frozen surgical tissues. Laparoscopic "myomectomy" was performed, and pathology analysis of paraffin-embedded tissue confirmed "leiomyoma with degeneration." Immunohistochemistry showed the lesion to be positive for caldesmon but negative for CD10. Rate of Ki67 positivity was less than 1%, indicating a benign lesion. The woman recovered well after the operation. Follow-up ultrasonography at 3 months after surgery identified a uterine cystic mass of 3.0 × 2.5 × 1.7 cm.
