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Jiang D, An X, Xu Q, Mo G, Ling W, Ji C, Wang Z, Wang X, Sun Q, Kang B. Effects of ferritin heavy chain on oxidative stress, cell proliferation and apoptosis in geese follicular granulosa cells. Br Poult Sci 2024:1-10. [PMID: 38456722 DOI: 10.1080/00071668.2024.2315086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 12/02/2023] [Indexed: 03/09/2024]
Abstract
1. The ferritin heavy chain (FHC) has a vital impact on follicular development in geese, due to its ability to regulate apoptosis of granulosa cells (GCs) and follicular atresia. However, its specific regulatory mechanisms remain unclear. The present study characterised how FHC regulates oxidative stress, cell proliferation and apoptosis in goose GCs by interfering with and overexpressing the FHC gene.2. After 72 h of interference with FHC expression, the activity of GCs decreased remarkably (p < 0.05), reactive oxygen species (ROS) levels and the expression levels of antioxidant enzyme genes catalase (CAT), superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) increased significantly (p < 0.05). The overexpression of FHC for 72 h was found to significantly reduce the expression of CAT and SOD genes (p < 0.05).3. Interfering with FHC expression revealed that the expression levels of the cell proliferation gene Aurora kinase A (AURORA-A) were significantly decreased (p < 0.05), while the expression levels of the apoptosis genes B-cell lymphoma-2 (BCL-2) and cysteine aspartate-specific protease 8 (CASPASE 8) increased (p < 0.05). Further research has shown that, when interfering with FHC expression for 72 h, apoptosis rate increased by 1.19-fold (p < 0.05), but the current data showed a lower apoptosis rate after FHC overexpression by 59.41%, 63.39%, and 52.31% at three different treatment times (p < 0.05).4. In conclusion, FHC improved the antioxidant capacity of GCs, promotes GCs proliferation, and inhibits GCs apoptosis of ovarian follicles in Sichuan white geese.
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Affiliation(s)
- D Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - X An
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - Q Xu
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - G Mo
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - W Ling
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - C Ji
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - Z Wang
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - X Wang
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - Q Sun
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - B Kang
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
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Chang J, Xu Y, Fu Y, Liu J, Jiang D, Pan J, Ouyang H, Liu W, Xu J, Tian Y, Huang Y, Ruan J, Shen X. The dynamic landscape of chromatin accessibility and active regulatory elements in the mediobasal hypothalamus influences the seasonal activation of the reproductive axis in the male quail under long light exposure. BMC Genomics 2024; 25:197. [PMID: 38373887 PMCID: PMC10877898 DOI: 10.1186/s12864-024-10097-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 02/07/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND In cold and temperate zones, seasonal reproduction plays a crucial role in the survival and reproductive success of species. The photoperiod influences reproductive processes in seasonal breeders through the hypothalamic-pituitary-gonadal (HPG) axis, in which the mediobasal hypothalamus (MBH) serves as the central region responsible for transmitting light information to the endocrine system. However, the cis-regulatory elements and the transcriptional activation mechanisms related to seasonal activation of the reproductive axis in MBH remain largely unclear. In this study, an artificial photoperiod program was used to induce the HPG axis activation in male quails, and we compared changes in chromatin accessibility changes during the seasonal activation of the HPG axis. RESULTS Alterations in chromatin accessibility occurred in the mediobasal hypothalamus (MBH) and stabilized at LD7 during the activation of the HPG axis. Most open chromatin regions (OCRs) are enriched mainly in introns and distal intergenic regions. The differentially accessible regions (DARs) showed enrichment of binding motifs of the RFX, NKX, and MEF family of transcription factors that gained-loss accessibility under long-day conditions, while the binding motifs of the nuclear receptor (NR) superfamily and BZIP family gained-open accessibility. Retinoic acid signaling and GTPase-mediated signal transduction are involved in adaptation to long days and maintenance of the HPG axis activation. According to our footprint analysis, three clock-output genes (TEF, DBP, and HLF) and the THRA were the first responders to long days in LD3. THRB, NR3C2, AR, and NR3C1 are the key players associated with the initiation and maintenance of the activation of the HPG axis, which appeared at LD7 and tended to be stable under long-day conditions. By integrating chromatin and the transcriptome, three genes (DIO2, SLC16A2, and PDE6H) involved in thyroid hormone signaling showed differential chromatin accessibility and expression levels during the seasonal activation of the HPG axis. TRPA1, a target of THRB identified by DAP-seq, was sensitive to photoactivation and exhibited differential expression levels between short- and long-day conditions. CONCLUSION Our data suggest that trans effects were the main factors affecting gene expression during the seasonal activation of the HPG axis. This study could lead to further research on the seasonal reproductive behavior of birds, particularly the role of MBH in controlling seasonal reproductive behavior.
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Affiliation(s)
- Jianye Chang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Yanglong Xu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Yuting Fu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Jiaxin Liu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Danli Jiang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Jianqiu Pan
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Hongjia Ouyang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Wenjun Liu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Jin Xu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510642, China
| | - Yunbo Tian
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Yunmao Huang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
| | - Jue Ruan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
| | - Xu Shen
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
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Fu Y, Song Y, Jiang D, Pan J, Li W, Zhang X, Chen W, Tian Y, Shen X, Huang Y. Comprehensive Transcriptomic and Metabolomic Analysis Revealed the Functional Differences in Pigeon Lactation between Male and Female during the Reproductive Cycle. Animals (Basel) 2023; 14:75. [PMID: 38200806 PMCID: PMC10778231 DOI: 10.3390/ani14010075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/07/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
Lactation is a unique reproductive behavior in pigeons, with the crop serving as the organ responsible for secreting pigeon milk. Both male and female pigeons can produce crop milk and rear their offspring through a division of labor. Since the time of the secretion of pigeon crop milk is different in the process of feeding the young, whether the metabolism and formation of pigeon milk use the same mechanism is a very interesting scientific question. However, the metabolic dynamics and underlying genetic mechanisms involved in the formation of pigeon crop milk remain unclear, particularly during the incubation-feeding reproductive cycle. In this study, we integrated lactation-associated metabolism and transcriptome data from the crop tissues of both male and female pigeons during the brooding and feeding stages. We mapped the changes in metabolites related to milk formation in the crop tissues during these stages. Through metabolome profiling, we identified 1413 metabolites among 18 crop tissues. During the breeding cycles, the concentrations of estrone, L-ergothioneine, and L-histidine exhibited the most dynamic changes in females. In contrast, estrone, L-anserine, 1-methylhistidine, homovanillate, oxidized glutathione, and reducing glutathione showed the most dynamic changes in males. Gender-specific differences were observed in the metabolome, with several metabolites significantly differing between males and females, many of which were correlated with cytokine binding, immunity, and cytochrome P450 activity. Using this dataset, we constructed complex regulatory networks, enabling us to identify important metabolites and key genes involved in regulating the formation of pigeon milk in male and female pigeons, respectively. Additionally, we investigated gender-associated differences in the crop metabolites of pigeons. Our study revealed differences in the modulation of pigeon crop milk metabolism between males and females and shed light on the potential functions of male and female pigeon milk in the growth, development, and immunity of young pigeons, an area that has not been previously explored. In conclusion, our results provide new insights into the metabolic regulation of pigeon crop milk formation during the brooding and breeding stages. Furthermore, our findings lay the foundation for the accurate development of artificial pigeon milk.
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Affiliation(s)
- Yuting Fu
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
| | - Yan Song
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
| | - Danli Jiang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
| | - Jianqiu Pan
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
| | - Wanyan Li
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
| | - Xumeng Zhang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
| | - Wenbin Chen
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Yunbo Tian
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
| | - Xu Shen
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
| | - Yunmao Huang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (Y.F.); (Y.S.); (D.J.); (J.P.); (W.L.); (X.Z.); (W.C.); (Y.T.)
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institute, Guangzhou 510225, China
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Zhou X, Jiang D, Xu Y, Pan J, Xu D, Tian Y, Shen X, Huang Y. Endocrine and molecular regulation mechanisms of follicular development and egg-laying in quails under different photoperiods. Anim Biotechnol 2023; 34:4809-4818. [PMID: 37022011 DOI: 10.1080/10495398.2023.2196551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Photoperiod is a key environmental factor in regulating bird reproduction and induces neuroendocrine changes through the hypothalamic-pituitary-gonadal (HPG) axis. OPN5, as a deep-brain photoreceptor, transmits light signals to regulate follicular development through TSH-DIO2/DIO3. However, the mechanism among OPN5, TSH-DIO2/DIO3, and VIP/PRL in the HPG axis underlying the photoperiodic regulation of bird reproduction is unclear. In this study, 72 laying quails with 8-week-old were randomly divided into the long-day (LD) group [16 light (L): 8 dark (D)] and the short-day (SD) group (8 L:16 D), and then samples were collected on d 1, d 11, d 22, and d 36 of the experiment. The results showed that compared with the LD group, the SD group significantly inhibited follicular development (P < 0.05), decreased the P4, E2, LH, and PRL in serum (P < 0.05), downregulated the expression of GnRHR, VIP, PRL, OPN5, DIO2, and LHβ (P < 0.05), reduced the expression of GnRH and TSHβ (P > 0.05), and promoted DIO3, GnIH gene expression (P < 0.01). The short photoperiod downregulates OPN5, TSHβ, and DIO2 and upregulates DIO3 expression to regulate the GnRH/GnIH system. The downregulation of GnRHR and upregulation of GnIH resulted in a decrease in LH secretion, which withdrew the gonadotropic effects on ovarian follicles development. Slow down of follicular development and egg laying may also arise from lack of PRL potentiation to small follicle development under short days.
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Affiliation(s)
- Xiaoli Zhou
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- College of Animal Science & Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Danli Jiang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- College of Animal Science & Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Yanglong Xu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- College of Animal Science & Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Jianqiu Pan
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- College of Animal Science & Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Danning Xu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- College of Animal Science & Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Yunbo Tian
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- College of Animal Science & Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Xu Shen
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- College of Animal Science & Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Yunmao Huang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- College of Animal Science & Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
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Strauss I, Agnesi F, Zinno C, Giannotti A, Dushpanova A, Casieri V, Terlizzi D, Bernini F, Gabisonia K, Wu Y, Jiang D, Paggi V, Lacour S, Recchia F, Demosthenous A, Lionetti V, Micera S. Neural Stimulation Hardware for the Selective Intrafascicular Modulation of the Vagus Nerve. IEEE Trans Neural Syst Rehabil Eng 2023; 31:4449-4458. [PMID: 37917519 DOI: 10.1109/tnsre.2023.3329735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
The neural stimulation of the vagus nerve is able to modulate various functions of the parasympathetic response in different organs. The stimulation of the vagus nerve is a promising approach to treating inflammatory diseases, obesity, diabetes, heart failure, and hypertension. The complexity of the vagus nerve requires highly selective stimulation, allowing the modulation of target-specific organs without side effects. Here, we address this issue by adapting a neural stimulator and developing an intraneural electrode for the particular modulation of the vagus nerve. The neurostimulator parameters such as amplitude, pulse width, and pulse shape were modulated. Single-, and multi-channel stimulation was performed at different amplitudes. For the first time, a polyimide thin-film neural electrode was designed for the specific stimulation of the vagus nerve. In vivo experiments were performed in the adult minipig to validate to elicit electrically evoked action potentials and to modulate physiological functions, validating the spatial selectivity of intraneural stimulation. Electrochemical tests of the electrode and the neurostimulator showed that the stimulation hardware was working correctly. Stimulating the porcine vagus nerve resulted in spatially selective modulation of the vagus nerve. ECAP belonging to alpha and beta fibers could be distinguished during single- and multi-channel stimulation. We have shown that the here presented system is able to activate the vagus nerve and can therefore modulate the heart rate, diastolic pressure, and systolic pressure. The here presented system may be used to restore the cardiac loop after denervation by implementing biomimetic stimulation patterns. Presented methods may be used to develop intraneural electrodes adapted for various applications.
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Peng J, Liu Y, Jiang D, Wang X, Peng P, He SM, Zhang W, Zhou F. Deep Learning and GAN-Synthesis for Auto-Segmentation of Pancreatic Cancer by Non-Enhanced CT for Adaptive Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e499-e500. [PMID: 37785569 DOI: 10.1016/j.ijrobp.2023.06.1742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) In conventional adaptive radiotherapy (ART) for pancreatic cancer, contrast-enhanced CT (CECT) helps to more precisely delineate primary gross tumor volume (GTV) than non-enhanced CT (NECT). However, frequent use of contrast medium can damage kidneys and prolong treatment time. Moreover, traditional manual delineation is labor-intensive and highly dependent on the experience of oncologists. Currently, automatic delineation based on deep learning with Generative Adversarial Networks (GAN)-based CT synthesis is one of the most feasible solutions to these problems. MATERIALS/METHODS A dataset of 35 pancreatic cancer patients was retrospectively collected from May 2021 to December 2022. All patients consist of a pair of NECT and CECT. We designed and developed an automatic delineation framework (Proposed) for GTV of pancreatic cancer based on Trans-cycleGAN and a modified 3D U-Net. TranscycleGAN can not only synthesize CECT from NECT, but can also augment the amount of CT images; then all real and synthesized CT images were used to train the modified 3D U-Net for automatic delineation of GTV; finally, our framework was able to automatically delineate GTV by NECT, but not only by CECT. Our framework was evaluated by dice similarity coefficient (DSC), 95% Harsdorff distance (95HD) and average surface distance (ASD) with oncologists' manual delineation ("gold standard"). RESULTS The evaluation results were summarized in Table 1. The proposed framework achieved the best automatic delineation results by NECT, which was superior to that of CECT: 0.917 & 0.903 of DSC, 2.498mm & 3.029mm of HD95, 0.481mm & 0.534mm of ASD, p < 0.05 for DSC and HD95. Specifically, it is significantly superior to the automatic delineation results using U-Net by CECT 0.917 & 0.818 of DSC, 2.498mm & 13.228mm of HD95, 0.481mm & 3.633mm of ASD, p < 0.05 for DSC. CONCLUSION We proposed an automatic delineation framework for contouring GTV in ART of pancreatic cancer based on deep learning and Trans-cycleGAN network. This framework could automatically delineate GTV and achieve better performance with NECT compared to CECT. Our method could not only reduce the use of contrast medium, but also increase the precision and effectiveness of tumor delineation, which could have a positive impact on precision radiotherapy.
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Affiliation(s)
- J Peng
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Y Liu
- United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - D Jiang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - X Wang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - P Peng
- United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - S M He
- United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - W Zhang
- Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China
| | - F Zhou
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
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7
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Liu J, Xu Y, Wang Y, Zhang J, Fu Y, Liufu S, Jiang D, Pan J, Ouyang H, Huang Y, Tian Y, Shen X. The DNA methylation status of the serotonin metabolic pathway associated with reproductive inactivation induced by long-light exposure in Magang geese. BMC Genomics 2023; 24:355. [PMID: 37365488 DOI: 10.1186/s12864-023-09342-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 04/27/2023] [Indexed: 06/28/2023] Open
Abstract
BACKGROUND Domestic geese are seasonal breeders and have the lowest reproductive capacity among all poultry species. Magang geese is a topical short-day breeder, short photoperiod exposure stimulates its reproductive activity while long photoperiod inhibits. To explore epigenetic change that could influence reproductive activity, we performed whole genome bisulfite sequencing and transcriptome sequencing in the hypothalamus at three reproductive stages during long-light exposure in male Magang geese. RESULTS A total number of 10,602 differentially methylated regions (DMRs) were identified among three comparison groups. We observed that the vast majority of DMRs were enriched in intron regions. By integrating the BS-sequencing and RNA-seq data, the correlation between methylation changes of CG DMRs and expression changes of their associated genes was significant only for genes containing CG DMRs in their intron. A total of 278 DMR-associated DEGs were obtained among the three stages. KEGG analysis revealed that the DMR-associated DEGs were mainly involved in 11 pathways. Among them, the neuroactive ligand-receptor interaction pathway was significantly enriched in both two comparisons (RA vs.RD and RD vs.RI); the Wnt signaling pathway, apelin signaling pathway, melanogenesis, calcium signaling pathway, focal adhesion, and adherens junction were significantly enriched in the RA vs. RI comparison. In addition, the expression level of two serotonin-metabolic genes was significantly altered during reproductive axis inactivation by the methylation status of their promoter region (TPH2) and intron region (SLC18A2), respectively. These results were confirmed by Bisulfite sequencing PCR (BSP), pyrosequencing, and real-time qPCR, indicating that serotonin metabolic signaling may play a key role in decreasing the reproductive activity of Magang geese induced by long-light exposure. Furthermore, we performed a metabolomics approach to investigate the concentration of neurotransmitters among the three stages, and found that 5-HIAA, the last product of the serotonin metabolic pathway, was significantly decreased in the hypothalamus during RI. CONCLUSIONS Our study reveals that the methylation status of the serotonin metabolic pathway in the hypothalamus is associated with reproductive inactivation, and provided new insight into the effect of DNA methylation on the reproductive regulation of the hypothalamus in Magang geese.
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Affiliation(s)
- Jiaxin Liu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Yanglong Xu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Yushuai Wang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China
| | - Jinning Zhang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China
| | - Yuting Fu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Sui Liufu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Danli Jiang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Jianqiu Pan
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Hongjia Ouyang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Yunmao Huang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
| | - Yunbo Tian
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
| | - Xu Shen
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
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8
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Hu Z, Jiang D, Zhao X, Yang J, Liang D, Wang H, Zhao C, Liao J. Predicting Drug Treatment Outcomes in Childrens with Tuberous Sclerosis Complex-Related Epilepsy: A Clinical Radiomics Study. AJNR Am J Neuroradiol 2023:ajnr.A7911. [PMID: 37348968 PMCID: PMC10337615 DOI: 10.3174/ajnr.a7911] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 05/22/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND AND PURPOSE Highly predictive markers of drug treatment outcomes of tuberous sclerosis complex-related epilepsy are a key unmet clinical need. The objective of this study was to identify meaningful clinical and radiomic predictors of outcomes of epilepsy drug treatment in patients with tuberous sclerosis complex. MATERIALS AND METHODS A total of 105 children with tuberous sclerosis complex-related epilepsy were enrolled in this retrospective study. The pretreatment baseline predictors that were used to predict drug treatment outcomes included patient demographic and clinical information, gene data, electroencephalogram data, and radiomic features that were extracted from pretreatment MR imaging scans. The Spearman correlation coefficient and least absolute shrinkage and selection operator were calculated to select the most relevant features for the drug treatment outcome to build a comprehensive model with radiomic and clinical features for clinical application. RESULTS Four MR imaging-based radiomic features and 5 key clinical features were selected to predict the drug treatment outcome. Good discriminative performances were achieved in testing cohorts (area under the curve = 0.85, accuracy = 80.0%, sensitivity = 0.75, and specificity = 0.83) for the epilepsy drug treatment outcome. The model of radiomic and clinical features resulted in favorable calibration curves in all cohorts. CONCLUSIONS Our results suggested that the radiomic and clinical features model may predict the epilepsy drug treatment outcome. Age of onset, infantile spasms, antiseizure medication numbers, epileptiform discharge in left parieto-occipital area of electroencephalography, and gene mutation type are the key clinical factors to predict the epilepsy drug treatment outcome. The texture and first-order statistic features are the most valuable radiomic features for predicting drug treatment outcomes.
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Affiliation(s)
- Z Hu
- From the Departments of Neurology (Z.H., X.Z., J.L.)
| | - D Jiang
- Research Centre for Medical AI (D.J., J.Y., D.L.)
- Shenzhen College of Advanced Technology (D.J., J.Y., D.L.), University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - X Zhao
- From the Departments of Neurology (Z.H., X.Z., J.L.)
| | - J Yang
- Research Centre for Medical AI (D.J., J.Y., D.L.)
- Shenzhen College of Advanced Technology (D.J., J.Y., D.L.), University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - D Liang
- Research Centre for Medical AI (D.J., J.Y., D.L.)
- Paul C. Lauterbur Research Center for Biomedical Imaging (D.L., H.W.), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
- Shenzhen College of Advanced Technology (D.J., J.Y., D.L.), University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - H Wang
- Paul C. Lauterbur Research Center for Biomedical Imaging (D.L., H.W.), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - C Zhao
- Radiology (C.Z.), Shenzhen Children's Hospital, Shenzhen, China
| | - J Liao
- From the Departments of Neurology (Z.H., X.Z., J.L.)
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9
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Tang J, Ouyang H, Chen X, Jiang D, Tian Y, Huang Y, Shen X. Comparative Transcriptome Analyses of Leg Muscle during Early Growth between Geese ( Anser cygnoides) Breeds Differing in Body Size Characteristics. Genes (Basel) 2023; 14:genes14051048. [PMID: 37239409 DOI: 10.3390/genes14051048] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
Goose is an important poultry commonly raised for meat. The early growth performance of geese significantly influences their market weight and slaughter weight, affecting the poultry industry's economic benefits. To identify the growth surge between the Shitou goose and the Wuzong goose, we collected the early growth body traits from 0 to 12 weeks. In addition, we investigated the transcriptomic changes in leg muscles at the high growth speed period to reveal the difference between the two geese breeds. We also estimated the growth curve parameters under three models, including the logistic, von Bertalanffy, and Gompertz models. The results showed that except for body length and keel length, the best-fitting model between the body weight and body size of the Shitou and Wuzong was the logistic model. The growth turning points of Shitou and Wuzong were 5.954 and 4.944 weeks, respectively, and the turning point of their body weight was 1459.01 g and 478.54 g, respectively. Growth surge occurred at 2-9 weeks in Shitou goose and at 1-7 weeks in Wuzong goose. The body size traits of the Shitou goose and Wuzong goose showed a trend of rapid growth in the early stage and slow growth in the later stage, and the Shitou goose growth was higher than the Wuzong goose. For transcriptome sequencing, a total of 87 differentially expressed genes (DEGs) were identified with a fold change ≥ 2 and a false discovery rate < 0.05. Many DEGs have a potential function for growth, such as CXCL12, SSTR4, FABP5, SLC2A1, MYLK4, and EIF4E3. KEGG pathway analysis identified that some DEGs were significantly enriched in the calcium signaling pathway, which may promote muscle growth. The gene-gene interaction network of DEGs was mainly related to the transmission of cell signals and substances, hematological system development, and functions. This study can provide theoretical guidance for the production and breeding management of the Shitou goose and Wuzong goose and help reveal the genetic mechanisms underlying diverse body sizes between two goose breeds.
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Affiliation(s)
- Jun Tang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institutes, Guangzhou 510225, China
| | - Hongjia Ouyang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institutes, Guangzhou 510225, China
| | - Xiaomei Chen
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Danli Jiang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institutes, Guangzhou 510225, China
| | - Yunbo Tian
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institutes, Guangzhou 510225, China
| | - Yunmao Huang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institutes, Guangzhou 510225, China
| | - Xu Shen
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
- Waterfowl Healthy Breeding Engineering Research Center, Guangdong Higher Education Institutes, Guangzhou 510225, China
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10
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Cullington HE, Jiang D, Broomfield SJ, Chung M, Craddock LC, Driver S, Edwards D, Gallacher JM, Jones LL, Koleva T, Martin J, Meakin H, Nash R, Rocca C, Schramm DR, Willmott NS, Vanat ZH. Cochlear implant services for children, young people and adults. Quality standard. Cochlear Implants Int 2023:1-13. [PMID: 37114384 DOI: 10.1080/14670100.2023.2197344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Affiliation(s)
- H E Cullington
- University of Southampton Auditory Implant Service, SO17 1BJ, UK
| | - D Jiang
- Hearing Implant Centre, Guy's and St. Thomas NHS Foundation Trust, London, UK
- Centre for Craniofacial and Regenerative Biology, King's College London, London, UK
| | - S J Broomfield
- West of England Hearing Implant Programme, University Hospitals Bristol and Weston NHS Foundation Trust, UK
| | - M Chung
- Auditory Implant Department, Royal National ENT & Eastman Dental Hospitals, University College London Hospitals NHS Foundation Trust, UK
| | - L C Craddock
- Midlands Hearing Implant Programme (Adult service), University Hospitals Birmingham NHS Foundation Trust, UK
| | - S Driver
- Hearing Implant Centre, Guy's and St. Thomas NHS Foundation Trust, London, UK
| | - D Edwards
- Emmeline Centre for Hearing Implants, Cambridge University Hospitals NHS Trust, UK
| | - J M Gallacher
- Scottish Cochlear Implant Program, Crosshouse Hospital, Kilmarnock, UK
| | - L Ll Jones
- North Wales Auditory Implant Service, Betsi Cadwaladr University Health Board, Bodelwyddan, UK
| | - T Koleva
- Emmeline Centre for Hearing Implants, Cambridge University Hospitals NHS Trust, UK
| | - J Martin
- Cochlear Implant Programme, Great Ormond Street Hospital For Children NHS Foundation Trust, London, UK
| | - H Meakin
- Emmeline Centre for Hearing Implants, Cambridge University Hospitals NHS Trust, UK
| | - R Nash
- Cochlear Implant Programme, Great Ormond Street Hospital For Children NHS Foundation Trust, London, UK
| | - C Rocca
- Hearing Implant Centre, Guy's and St. Thomas NHS Foundation Trust, London, UK
| | - D R Schramm
- University of Ottawa Auditory Implant Centre, Ottawa, Canada
| | - N S Willmott
- Auditory Implant Centre, Belfast Health and Social Care Trust, UK
| | - Z H Vanat
- Emmeline Centre for Hearing Implants, Cambridge University Hospitals NHS Trust, UK
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11
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Hafeez N, Kirillova A, Yue Y, Rao RJ, Kelly NJ, El Khoury W, Al Aaraj Y, Tai Y, Handen A, Tang Y, Jiang D, Wu T, Zhang Y, McNamara D, Kudryashova TV, Goncharova EA, Goncharov D, Bertero T, Nouraie M, Li G, Sun W, Chan SY. Single Nucleotide Polymorphism rs9277336 Controls the Nuclear Alpha Actinin 4-Human Leukocyte Antigen-DPA1 Axis and Pulmonary Endothelial Pathophenotypes in Pulmonary Arterial Hypertension. J Am Heart Assoc 2023; 12:e027894. [PMID: 36974749 PMCID: PMC10122886 DOI: 10.1161/jaha.122.027894] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 02/06/2023] [Indexed: 03/29/2023]
Abstract
Background Pulmonary arterial hypertension (PAH) is a complex, fatal disease where disease severity has been associated with the single nucleotide polymorphism (SNP) rs2856830, located near the human leukocyte antigen DPA1 (HLA-DPA1) gene. We aimed to define the genetic architecture of functional variants associated with PAH disease severity by identifying allele-specific binding transcription factors and downstream targets that control endothelial pathophenotypes and PAH. Methods and Results Electrophoretic mobility shift assays of oligonucleotides containing SNP rs2856830 and 8 SNPs in linkage disequilibrium revealed functional SNPs via allele-imbalanced binding to human pulmonary arterial endothelial cell nuclear proteins. DNA pulldown proteomics identified SNP-binding proteins. SNP genotyping and clinical correlation analysis were performed in 84 patients with PAH at University of Pittsburgh Medical Center and in 679 patients with PAH in the All of Us database. SNP rs9277336 was identified as a functional SNP in linkage disequilibrium (r2>0.8) defined by rs2856830, and the minor allele was associated with decreased hospitalizations and improved cardiac output in patients with PAH, an index of disease severity. SNP pulldown proteomics showed allele-specific binding of nuclear ACTN4 (alpha actinin 4) protein to rs9277336 minor allele. Both ACTN4 and HLA-DPA1 were downregulated in pulmonary endothelium in human patients and rodent models of PAH. Via transcriptomic and phenotypic analyses, knockdown of HLA-DPA1 phenocopied knockdown of ACTN4, both similarly controlling cell structure pathways, immune pathways, and endothelial dysfunction. Conclusions We defined the pathogenic activity of functional SNP rs9277336, entailing the allele-specific binding of ACTN4 and controlling expression of the neighboring HLA-DPA1 gene. Through inflammatory or genetic means, downregulation of this ACTN4-HLA-DPA1 regulatory axis promotes endothelial pathophenotypes, providing a mechanistic explanation for the association between this SNP and PAH outcomes.
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Affiliation(s)
- Neha Hafeez
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Anna Kirillova
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Yunshan Yue
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
- School of MedicineTsinghua UniversityBeijingChina
| | - Rashmi J. Rao
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Neil J. Kelly
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Wadih El Khoury
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Yassmin Al Aaraj
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Yi‐Yin Tai
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Adam Handen
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Ying Tang
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Danli Jiang
- The Aging InstituteUniversity of Pittsburgh School of MedicinePittsburghPA
| | - Ting Wu
- The Aging InstituteUniversity of Pittsburgh School of MedicinePittsburghPA
| | - Yingze Zhang
- Division of Pulmonary Allergy and Critical Care Medicine, Department of MedicineUniversity of Pittsburgh Medical CenterPittsburghPA
| | - Dennis McNamara
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Tatiana V. Kudryashova
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal MedicineUniversity of California DavisDavisCA
| | - Elena A. Goncharova
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal MedicineUniversity of California DavisDavisCA
| | - Dmitry Goncharov
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal MedicineUniversity of California DavisDavisCA
| | - Thomas Bertero
- Université Côte d’Azur, CNRS, UMR7275, IPMCValbonneFrance
| | - Mehdi Nouraie
- Division of Pulmonary Allergy and Critical Care Medicine, Department of MedicineUniversity of Pittsburgh Medical CenterPittsburghPA
| | - Gang Li
- The Aging InstituteUniversity of Pittsburgh School of MedicinePittsburghPA
| | - Wei Sun
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
| | - Stephen Y. Chan
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, Division of Cardiology, Department of MedicineUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPittsburghPA
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12
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Xing L, Yu J, Zhao R, Yang W, Guo Y, Li J, Xiao C, Ren Y, Dong L, Lv D, Zhao L, Lin Y, Zhang X, Chen L, Zhang A, Wang Y, Jiang D, Liu A, Ma C. 125P Real-world treatment patterns in stage III NSCLC patients: Interim results of a prospective, multicenter, non-interventional study (MOOREA). J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00380-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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13
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Lin B, Zhou X, Jiang D, Shen X, Ouyang H, Li W, Xu D, Fang L, Tian Y, Li X, Huang Y. Comparative transcriptomic analysis reveals candidate genes for seasonal breeding in the male Lion-Head goose. Br Poult Sci 2023; 64:157-163. [PMID: 36440984 DOI: 10.1080/00071668.2022.2152651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
1. Due to seasonal breeding, geese breeds from Southern China have low egg yield. The genetic makeup underlying performance of local breeds is largely unknown, and few studies have investigated this problem. This study integrated 21 newly generated and 50 publicly existing RNA-seq libraries, representing the hypothalamus, pituitary and testis, to identify candidate genes and importantly related pathways associated with seasonal breeding in male Lion-Head geese.2. In total, 19, 119 and 302 differentially expressed genes (DEGs) were detected in the hypothalamus, pituitary and testis, respectively, of male Lion-Head geese between non-breeding and breeding periods. These genes were significantly involved in the neuropeptide signalling pathway, gland development, neuroactive ligand-receptor interaction, JAK-STAT signalling pathway, cAMP signalling pathway, PI3K-Akt signalling pathway and Foxo signalling pathway.3. By integrating another 50 RNA-seq samples 4, 18 and 40 promising DEGs were confirmed in hypothalamus, pituitary and testis, respectively.4. HOX genes were identified as having important roles in the development of testis between non-breeding and breeding periods of male Lion-Head geese.
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Affiliation(s)
- B Lin
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - X Zhou
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - D Jiang
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - X Shen
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - H Ouyang
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - W Li
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - D Xu
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - L Fang
- MRC Human Genetics Unit at Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Y Tian
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - X Li
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
| | - Y Huang
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, P. R. China
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14
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Wu T, Wu Y, Jiang D, Sun W, Zou M, Vasamsetti SB, Dutta P, Leers SA, Di W, Li G. SATB2, coordinated with CUX1, regulates IL-1β-induced senescence-like phenotype in endothelial cells by fine-tuning the atherosclerosis-associated p16 INK4a expression. Aging Cell 2023; 22:e13765. [PMID: 36633253 PMCID: PMC9924951 DOI: 10.1111/acel.13765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 11/07/2022] [Accepted: 12/05/2022] [Indexed: 01/13/2023] Open
Abstract
Genome-wide association studies (GWAS) have validated a strong association of atherosclerosis with the CDKN2A/B locus, a locus harboring three tumor suppressor genes: p14ARF , p15INK4b , and p16INK4a . Post-GWAS functional analysis reveals that CUX is a transcriptional activator of p16INK4a via its specific binding to a functional SNP (fSNP) rs1537371 on the atherosclerosis-associated CDKN2A/B locus, regulating endothelial senescence. In this work, we characterize SATB2, another transcription factor that specifically binds to rs1537371. We demonstrate that even though both CUX1 and SATB2 are the homeodomain transcription factors, unlike CUX1, SATB2 is a transcriptional suppressor of p16INK4a and overexpression of SATB2 competes with CUX1 for its binding to rs1537371, which inhibits p16INK4a and p16INK4a -dependent cellular senescence in human endothelial cells (ECs). Surprisingly, we discovered that SATB2 expression is transcriptionally repressed by CUX1. Therefore, upregulation of CUX1 inhibits SATB2 expression, which enhances the binding of CUX1 to rs1537371 and subsequently fine-tunes p16INK4a expression. Remarkably, we also demonstrate that IL-1β, a senescence-associated secretory phenotype (SASP) gene itself and a biomarker for atherosclerosis, induces cellular senescence also by upregulating CUX1 and/or downregulating SATB2 in human ECs. A model is proposed to reconcile our findings showing how both primary and secondary senescence are activated via the atherosclerosis-associated p16INK4a expression.
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Affiliation(s)
- Ting Wu
- Department of Cardiovascular Medicine, Xiangya HospitalCentral South UniversityChangshaHunanChina,Aging InstituteUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Yuwei Wu
- Aging InstituteUniversity of PittsburghPittsburghPennsylvaniaUSA,Department of Medicine, Xiangya School of MedicineCentral South UniversityChangshaHunanChina
| | - Danli Jiang
- Aging InstituteUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Wei Sun
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine InstituteUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPennsylvaniaPittsburghUSA
| | - Meijuan Zou
- Aging InstituteUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Sathish Babu Vasamsetti
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine InstituteUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPennsylvaniaPittsburghUSA
| | - Partha Dutta
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine InstituteUniversity of Pittsburgh School of Medicine and University of Pittsburgh Medical CenterPennsylvaniaPittsburghUSA
| | - Steven A. Leers
- UPMC Vascular LaboratoriesUniversity of Pittsburgh Medical CenterPittsburghPennsylvaniaUSA
| | - Wu Di
- Department of PeriodontologyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Gang Li
- Aging InstituteUniversity of PittsburghPittsburghPennsylvaniaUSA,Department of Medicine, Division of CardiologyUniversity of Pittsburgh Medical CenterPittsburghPennsylvaniaUSA
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Bronk J, Bronk L, Singh S, Guan F, Wang X, Zhu X, Schueler E, Jiang D, Mohan R, Koong A, Lang F, Grosshans D. Enhanced Radiation-Sparing Effects of Ultra-High Dose Rate Proton Radiation (FLASH-RT) in a Human Induced Pluripotent Stem Cell-Derived Cerebral Organoid Model. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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16
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Zhou X, Jiang D, Zhang Z, Shen X, Pan J, Xu D, Tian Y, Huang Y. Expression of GnIH and its effects on follicle development and steroidogenesis in quail ovaries under different photoperiods. Poult Sci 2022; 101:102227. [PMID: 36334429 PMCID: PMC9627100 DOI: 10.1016/j.psj.2022.102227] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/27/2022] [Accepted: 09/29/2022] [Indexed: 11/21/2022] Open
Abstract
Photoperiod is an important environmental factor that influence seasonal reproduction behavior in bird and GnIH can play a function in this process through the reproductive axis, and some studies suggest that GnIH may have a direct role at the gonadal level. To investigate the expression of GnIH and its effects on follicle development and steroidogenesis in quail ovaries under different photoperiods, 72 healthy laying quails of 8-wk-old were randomly divided into long day (LD) group [16 light (L): 8 dark (D)] (n = 36) and short day (SD) group (8L:16D) (n = 36). Samples were collected from each group on d1, d11, d22, and d36 of the experiment. The result showed that short day treatment upregulated the level of GnIH in the gonads (P < 0.05), decreased the expression level of CYP19A1,3β-HSD, StAR, LHR, and FSHR and increased the expression level of AMH, AMHR2, GDF9, and BMP15 to inhibit follicle development and ovulation, thus affecting the egg production performance of quails. In vitro culture of quail granulosa cells and treatment with different concentrations of GnIH (0, 1, 10, and 100 ng/mL) for 24 h. Result showed that GnIH inhibited the levels of FSHR, LHR, and steroid synthesis pathways in granulosa cells, upregulated the levels of AMHR2, GDF9, and BMP15. The results suggest that the inhibition of follicle development and reduced egg production in quail by short day treatment is due to GnIH acting at the gonadal level, and GnIH affected the steroid synthesis by inhibiting gonadotropin receptors.
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Affiliation(s)
- Xiaoli Zhou
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Danli Jiang
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Zhuoshen Zhang
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Xu Shen
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Jianqiu Pan
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Danning Xu
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Yunbo Tian
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Yunmao Huang
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China,Corresponding author:
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Ji W, Li X, Cang S, Xiang Y, Li X, Zhang J, Tan J, Wang Q, Jiang D, Zhang H, Lu S. 1129P Real-world outcomes of second-line osimertinib for advanced NSCLC patients with EGFR mutation in China. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Sun W, Jiang D, Li G, Chan SY. Abstract P1108: Functional Genomics Analysis Of Sox17 Locus To Define The Pathogenic Role Of FUBP1 In Pulmonary Arterial Hypertension. Circ Res 2022. [DOI: 10.1161/res.131.suppl_1.p1108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Rationale:
Pulmonary arterial hypertension (PAH) is an enigmatic and morbid disease where insights are emerging regarding genetic susceptibility. Genome-wide Association Studies (GWAS) have identified SOX17 as the most significant PAH-associated genomic locus. The allele of tag SNP in this locus is associated with 1.8-fold higher PAH risk. It has been challenging to define the mechanisms underlying the contribution of the PAH-associated functional SNPs (fSNPs) to pathogenesis of the disease.
Methods:
We developed a post-GWAS functional genomics strategy to define the causative fSNPs and identify the associated biological mechanisms. This analysis includes Reel-seq (Regulatory element-sequencing), an EMSA-based high-throughput technique to identify fSNPs in a synthetic DNA library containing PAH-associated SNPs; SDCP-MS (SNP-specific DNA competition pulldown-mass spectrometry) to identify proteins that specifically bind to fSNPs; and AIDP-Wb (allele-imbalanced DNA pulldown-Western blot) to show allele-imbalanced binding of these proteins to fSNPs. The regulation of risk gene expression by these fSNP-binding proteins and their pathogenicity were determined in human pulmonary arterial endothelial cells (PAECs) and confirmed in PAH animal models and patients.
Results:
By using high-throughput Reel-seq and subsequent validation with EMSA, intergenic SNP rs4738801 in SOX17 locus was identified as a fSNP from a library containing 254 PAH-associated haplotype SNPs. This fSNP resides in a remote upstream enhancer region of SOX17, an endothelial effector increasingly associated with PAH pathogenesis. Using SDCP-MS and AIDP-Wb, we found that the transcription factor FUBP1 binds to rs4738801 risk allele C with lower affinity than non-risk allele G, resulting in a decrease in SOX17 expression. FUBP1 and target gene SOX17 controlled PAH-associated pathophenotypes in PAECs, including proliferation, apoptosis, and angiogenesis. Downregulated by the major acquired PAH trigger hypoxia, FUBP1 and SOX17 were decreased in lungs and pulmonary ECs isolated from PAH patients and mouse models. A 3.77-fold enrichment of fSNP rs4738801 risk allele C was found in patients with PAH induced by hypoxia, but not in PAH associated with connective tissue disease or congenital heart disease.
Conclusions:
FUBP1 controls SOX17 expression via allele-specific binding to PAH-associated fSNP rs4738801. The reduced binding of FUBP1 to risk allele C defines the genomic architecture contributing to the SOX17-dependent genetic susceptibility of PAH. The downregulation of FUBP1-SOX17 by hypoxia results in endothelial dysfunction, contributing to the acquired pathogenesis of PAH. These findings identify a novel role of FUBP1 in the functional regulation of SOX17 locus and elucidating a pathogenic mechanism that combines the acquired PAH-triggering factors and altered genetic susceptibility.
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Tao Z, Zhu M, Ding J, Jiang D, Yan B. Comparative Analysis of Interaction Mode between MABA and Silver Nanoparticles in the Silver Colloidal Solution. Russ J Phys Chem B 2022. [DOI: 10.1134/s1990793122040339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Bayford R, Damaso R, Jiang D, Rahal M, Demosthenous A. Development of a Biosensor for fast point-of-care Blood Analysis of Troponin. Annu Int Conf IEEE Eng Med Biol Soc 2022; 2022:910-913. [PMID: 36086113 DOI: 10.1109/embc48229.2022.9871851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
We present the development of novel tetrapolar EIS biosensor for the detect of troponin. Troponin has considerable diagnostic power and provide invaluable prognostic information for risk stratification. of acute coronary syndromes. Clinical Relevance- A feasibility study was undertaken to assess the diagnostic performance of serial cardiac troponin measurements which is excellent as these structural proteins are unique to the heart and thus sensitive and specific of damage to the myocardium. clinical molecular diagnostics and home healthcare. Troponin's biosensors would provide point-of-care and rapid decision making for the early detection of CS. Clinically relevant window of cTnI testing, concentrations from 10pM to 0.1μM were achieved.
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Fu X, Hou Z, Liu W, Cao N, Liang Y, Li B, Jiang D, Li W, Xu D, Tian Y, Huang Y. Insight into the Epidemiology and Evolutionary History of Novel Goose Astrovirus-Associated Gout in Goslings in Southern China. Viruses 2022; 14:v14061306. [PMID: 35746777 PMCID: PMC9230684 DOI: 10.3390/v14061306] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/09/2022] [Accepted: 06/10/2022] [Indexed: 11/17/2022] Open
Abstract
A novel gout disease, characterized by visceral urate deposition with high-mortality, with outbreaks in goslings in China since 2016 was caused by a novel goose astrovirus (GoAstV) and resulted in serious economic loss. However, the epidemiology and variation of the GoAstV in goslings in southern China and its evolutionary history as well as the classification of the GoAstV are unclear. In the present study, systematic molecular epidemiology, and phylogenetic analyses of the GoAstV were conducted to address these issues. Our results showed that the GoAstV is widespread in goslings in southern China, and the genomes of six GoAstV strains were obtained. Two amino acid mutations (Y36H and E456D) were identified in capsid proteins in this study, which is the dominant antigen for the GoAstV. In addition, the GoAstV could be divided into two distinct clades, GoAstV-1 and GoAstV-2, and GoAstV-2 is responsible for gout outbreaks in goslings and could be classified into Avastrovirus 3 (AAstV-3), while GoAstV-1 belongs to Avastrovirus 1 (AAstV-1). Moreover, the emergence of GoAstV-2 in geese was estimated to have occurred in January 2010, approximately 12 years ago, while GoAstV-1 emerged earlier than GoAstV-2 and was estimated to have emerged in April 1985 based on Bayesian analysis. The mean evolutionary rate for the GoAstV was also calculated to be approximately 1.42 × 10−3 nucleotide substitutions per site per year. In conclusion, this study provides insight into the epidemiology of the GoAstV in goslings in southern China and is helpful for understanding the origin and evolutionary history as well as the classification of the GoAstV in geese.
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Affiliation(s)
- Xinliang Fu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Zhanpeng Hou
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Wenjun Liu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Nan Cao
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Yu Liang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Bingxin Li
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Danli Jiang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Wanyan Li
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Danning Xu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Yunbo Tian
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
| | - Yunmao Huang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; (X.F.); (Z.H.); (W.L.); (N.C.); (Y.L.); (B.L.); (D.J.); (W.L.); (D.X.); (Y.T.)
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou 510225, China
- Correspondence:
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Liufu S, Pan J, Sun J, Shen X, Jiang D, Ouyang H, Xu D, Tian Y, Huang Y. OPN5 Regulating Mechanism of Follicle Development Through the TSH-DIO2/DIO3 Pathway in Mountain Ducks Under Different Photoperiods. Front Physiol 2022; 13:813881. [PMID: 35733985 PMCID: PMC9208676 DOI: 10.3389/fphys.2022.813881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract: Photoperiod is an important environmental factor that influence seasonal reproduction behavior in bird. Birds translates photoperiodic information into neuroendocrine signals through deep brain photoreceptors (DBPs). OPN5 has been considered as candidate DBPs involving in regulation of seasonal reproduction in birds. However, little is known about the effect of OPN5 in non-seasonal breeding birds. Thus, we pondered on whether OPN5 regulating follicular development through TSH-DIO2/DIO3 system responds to different photoperiods in non-seasonal laying ducks. As an ideal non-seasonal breeding bird, a total of 120 mountain ducks were randomly divided into three groups and treated respectively to a different photoperiod: group S (8 L:16D), group C (17 L:7D), and group L (24 L:0D). The ducks were caged in a fully enclosed shelter with the same feeding conditions for each group, free water and limited feeding (150 g per duck each day). Samples were collected from each group at d 0, d 5, d 8, d 20, and d 35 (n = 8). The ducks in 24 h photoperiod had the highest laying rate and the lowest feed-to-egg ratio, while the ducks in 8 h photoperiod had the lowest laying rate and the highest feed-to-egg ratio. Long-day photoperiod for 24 h significantly increased the ovarian index and GnRH, LH, E2, and P4 levels in serum; short-day photoperiod for 8 h increased testosterone levels in serum. Compared with 8 h photoperiod, long-day photoperiod significantly or highly significantly increased the mRNA level and protein expression of OPN5 in the hypothalamus of long-day photoperiod on d 35 (p < 0.05). The gene or protein expression patterns of GnRH, TRH, TSHβ, DIO2, THRβ, VIP, and PRL were positively correlated with OPN5, whereas the gene expression patterns of GnIH and DI O 3 were negatively correlated with OPN5. The results revealed that OPN5 mediated the effect of light on follicular development through the TSH-DIO2/DIO3 pathway, the expression of OPN5 increased with light duration and improved the efficiency of the HPG axis to promote follicular development in mountain ducks.
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Affiliation(s)
- Sui Liufu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Jianqiu Pan
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Junfeng Sun
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Xu Shen
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Danli Jiang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Hongjia Ouyang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Danning Xu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yunbo Tian
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
- *Correspondence: Yunbo Tian, ; Yunmao Huang,
| | - Yunmao Huang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
- *Correspondence: Yunbo Tian, ; Yunmao Huang,
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Winthrop K, Tanaka Y, Takeuchi T, Kivitz A, Genovese MC, Pechonkina A, Matzkies F, Bartok B, Chen K, Jiang D, Tiamiyu I, Besuyen R, Strengholt S, Burmester GR, Gottenberg JE. POS0235 INTEGRATED SAFETY ANALYSIS UPDATE FOR FILGOTINIB (FIL) IN PATIENTS (PTS) WITH MODERATELY TO SEVERELY ACTIVE RHEUMATOID ARTHRITIS (RA) RECEIVING TREATMENT OVER A MEDIAN OF 2.2 YEARS (Y). Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe preferential Janus kinase-1 inhibitor FIL significantly improved signs and symptoms of RA in Phase 2 and 3 trials.1–5 FIL is approved for treatment of moderate to severe active RA in Europe and Japan. Integrated safety analysis of FIL with patient data through 2019 was presented at the 2020 ACR virtual meeting.6ObjectivesTo report updated, as-treated data from the FIL integrated safety analysis with increased study drug exposure.MethodsData were integrated from 2 Phase 2 (NCT01668641, NCT01894516), 3 Phase 3 (NCT02889796, NCT02873936, NCT02886728), and 2 long-term extension (LTE) (NCT02065700, NCT03025308) trials. Phase 2 and 3 LTE data were through Nov 2020 and Jan 2021, respectively. The as-treated analysis set included all available data for pts receiving ≥1 dose FIL 200 (FIL200) or 100 mg (FIL100), including those rerandomized to FIL for LTE. Exposure-adjusted incidence rates (EAIR)/100 patient-y exposure (PYE) of treatment-emergent adverse events (TEAEs; onset after first dose and no later than 30 days after last dose or new drug first dose date −1 day) and TEAEs of special interest (AESIs) are presented.Results3691 pts received FIL200 or FIL100 for 8085.1 PYE (median 2.2, maximum 6.8 y). In the as-treated set, 61% of FIL200 and 45% of FIL100 pts received FIL for ≥2 y, 19% and 5% for ≥3 y, and 11% and 0.5% for ≥4.5 y, respectively. EAIR for TEAEs was higher with FIL100 than FIL200; EAIRs for deaths were 0.5 and 0.3 for FIL200 and FIL100 (Figure 1). Incidences of infections and serious infections were numerically greater for FIL100 vs FIL200, while EAIRs for other AESIs were comparable between doses (Table 1). EAIRs for AESIs tended to decrease since the previous update, except for venous thromboembolism (total FIL 0.1 to 0.2) and malignancies excluding NMSC (total FIL 0.5 to 0.6).Table 1.TEAEs of special interest, as-treated setTEAE, n (%) and EAIR per 100 PYE (95% CI)FIL 200 mgn=2267PYE=5302.5FIL 100 mgn=1647PYE=2782.6Total FILN=3691PYE=8085.1Infectious AEs1206 (53.2)747 (45.4)1927 (52.2)EAIR21.1 (19.7, 22.5)30.2 (26.8, 34.0)21.0 (19.9, 22.3)Serious infectious AEs80 (3.5)57 (3.5)137 (3.7)EAIR1.5 (1.1, 1.9)2.7 (1.9, 3.9)1.6 (1.3, 2.0)Opportunistic infections5 (0.2)4 (0.2)9 (0.2)EAIR0.1 (0, 0.2)*0.1 (0.1, 0.4)*0.1 (0.1, 0.2)*Active tuberculosis03 (0.2)3 (<0.1)EAIR00.1 (0, 0.3)*0 (0, 0.1)*Herpes zoster84 (3.7)30 (1.8)114 (3.1)EAIR1.6 (1.2, 2.0)1.1 (0.8, 1.5)*1.4 (1.1, 1.7)Major adverse cardiovascular eventsa19 (0.8)14 (0.9)33 (0.9)EAIR0.3 (0.2, 0.5)0.5 (0.3, 0.8)*0.4 (0.2, 0.6)Venous thromboembolismb11 (0.5)4 (0.2)15 (0.4)EAIR0.2 (0.1, 0.4)*0.1 (0.1, 0.4)*0.2 (0.1, 0.3)*Atrial systemic thrombotic eventsa1 (<0.1)1 (<0.1)2 (<0.1)EAIR0 (0, 0.1)0 (0, 0.3)0 (0, 0.1)Malignancy excluding NMSC32 (1.4)17 (1.0)49 (1.3)EAIR0.6 (0.4, 0.9)0.6 (0.4, 1.0)*0.6 (0.4, 0.8)NMSC15 (0.7)5 (0.3)20 (0.5)EAIR0.3 (0.2, 0.5)*0.2 (0.1, 0.4)*0.2 (0.2, 0.4)*Gastrointestinal perforations3 (0.1)1 (<0.1)4 (0.1)EAIR0.1 (0, 0.2)*0 (0, 0.3)*0 (0, 0.1)**Except when any study had 0 event within the treatment, the Poisson model was not adjusted by study. PYE was defined as (last dose date − first dose date + 1)/365.25.aPositively adjudicated.bAdjudicated as deep vein thrombosis or pulmonary embolism.NMSC, nonmelanoma skin cancerConclusionWith 1 additional year of exposure since the 2020 report, FIL continues to be well tolerated with no new safety concerns emerging. EAIRs of TEAEs, including deaths, and AESIs remained stable or decreased since the 2020 report, except for slight increases in rates of NMSC and malignancies excluding NMSC. In the context of demonstrated efficacy, both FIL doses had an acceptable risk/benefit profile.References[1]Westhovens R et al. Ann Rheum Dis 2017;76:998–1008.[2]Kavanaugh A et al. Ann Rheum Dis 2017;76:1009–19.[3]Combe B et al. Ann Rheum Dis 2021;80:848–58.[4]Genovese MC et al. JAMA 2019;322:315–25.[5]Westhovens R et al. Ann Rheum Dis 2021;80:727–38.[6]Winthrop K et al. Arthritis Rheumatol 2020;72(suppl 10); abstract 0229.AcknowledgementsFunding for DARWIN 1 and 2 was provided by Galapagos NV, and funding for DARWIN 3, FINCH 1, 2, 3, and 4 was provided by Gilead Sciences, Inc., Foster City, CA. Funding for this analysis was provided by Gilead Sciences, Inc. The sponsors participated in the planning, execution, and interpretation of the research. Medical writing support was provided by Gregory Bezkorovainy, MA, of AlphaScientia, LLC, San Francisco, CA; and funded by Gilead Sciences, Inc., Foster City, CA.Disclosure of InterestsKevin Winthrop Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly and Co., Galapagos NV, Gilead Sciences, Inc., GlaxoSmithKline, Pfizer, Roche, Regeneron, Sanofi, and UCB, Grant/research support from: AbbVie, Bristol Myers Squibb, and Pfizer, Yoshiya Tanaka Speakers bureau: Daiichi-Sankyo, Eli Lilly, Novartis, YL Biologics, Bristol Myers Squibb, Eisai, Chugai, AbbVie, Astellas, Pfizer, Sanofi, Asahi-Kasei, GSK, Mitsubishi-Tanabe, Gilead Sciences, Inc., and Janssen, Consultant of: AbbVie, Ayumi, Daiichi-Sankyo, Eli Lilly, GSK, Taisho, and Sanofi, Grant/research support from: AbbVie, Asahi-Kasei, Chugai, Daiichi-Sankyo, Eisai, Mitsubishi-Tanabe, and Takeda, Tsutomu Takeuchi Speakers bureau: AbbVie, AYUMI, Bristol Myers Squibb, Chugai, Daiichi Sankyo, Dainippon Sumitomo, Eisai, Eli Lilly Japan, Gilead Sciences, Inc., Mitsubishi-Tanabe, Novartis, Pfizer Japan, and Sanofi, Consultant of: Astellas, Chugai, and Eli Lilly Japan, Grant/research support from: AbbVie, Asahi Kasei, Astellas, Chugai, Daiichi Sankyo, Eisai, Mitsubishi-Tanabe, Shionogi, Takeda, and UCB Japan, Alan Kivitz Shareholder of: Amgen, Gilead Sciences, Inc., GlaxoSmithKline, Pfizer, and Sanofi, Speakers bureau: AbbVie, Celgene, Flexion, Genzyme, Horizon, Merck, Novartis, Pfizer, Regeneron, and Sanofi, Paid instructor for: Celgene, Genzyme, Horizon, Merck, Novartis, Pfizer, Regeneron, and Sanofi, Consultant of: AbbVie, Boehringer Ingelheim, Flexion, Genzyme, Gilead Sciences, Inc., Janssen, Novartis, Pfizer, Regeneron, Sanofi, and SUN Pharma Advanced Research, Mark C. Genovese Shareholder of: Gilead Sciences, Inc., Consultant of: AbbVie, Amgen, Beigene, Eli Lilly and Co., Genentech, Inc., Gilead Sciences, Inc., Sanofi Genzyme, RPharm, and SetPoint, Employee of: Gilead Sciences, Inc., Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Franziska Matzkies Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Beatrix Bartok Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Kun Chen Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Deyuan Jiang Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Iyabode Tiamiyu Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Robin Besuyen Shareholder of: Galapagos BV, Employee of: Galapagos BV, Sander Strengholt Shareholder of: Galapagos BV, Employee of: Galapagos BV, Gerd Rüdiger Burmester Speakers bureau: AbbVie, Eli Lilly and Co., Galapagos, Gilead Sciences, Inc., and Pfizer, Consultant of: AbbVie, Eli Lilly and Co., Galapagos, Gilead Sciences, Inc., and Pfizer, Jacques-Eric Gottenberg Speakers bureau: AbbVie, Eli Lilly and Co., Galapagos BV, Gilead Sciences, Inc., Roche, Sanofi Genzyme, and UCB, Consultant of: Bristol Myers Squibb, Sanofi Genzyme, and UCB, Grant/research support from: Bristol Myers Squibb and Pfizer
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Jiang D, Barnard J, Choi E, Furr J, Lentz A, van Renterghem K, Selph P, Yafi F. Immediate salvage with inflatable penile prosthesis in an infected field: A contemporary multi-institutional cohort. J Sex Med 2022. [DOI: 10.1016/j.jsxm.2022.03.435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Xu Y, Jiang D, Liu J, Fu Y, Song Y, Fan D, Huang X, Liufu S, Pan J, Ouyang H, Tian Y, Shen X, Huang Y. Photoperiodic Changes in Both Hypothalamus Neurotransmitters and Circulating Gonadal Steroids Metabolomic Profiles in Relation to Seasonal Reproduction in Male Quail. Front Physiol 2022; 13:824228. [PMID: 35399254 PMCID: PMC8993408 DOI: 10.3389/fphys.2022.824228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 01/31/2022] [Indexed: 11/17/2022] Open
Abstract
Both hypothalamic neurotransmitters and serum steroid hormones are impacted by photoperiod and have effects on physiology and seasonal reproductive. However, the relationship between circulating gonadal steroids and hypothalamic neurotransmitters underlying different photoperiod is still unclear. To further understand the crosstalk of neurotransmitters and steroids in seasonal reproduction, metabolic changes of 27 neurotransmitters concentrated in hypothalamus tissues and 42 steroids hormones in serum were assessed during two artificial photoperiodic programs. The results showed that photoperiod induce testicular atrophy and recrudescence. In L-to-S groups, significantly decreased levels of testosterone concentration were found in serum (P < 0.001) and increased 11-Dehydrocorticosterone (P < 0.05); Testosterone were almost undetectable at SD_14d. In addition, the hypothalamus exhibited significantly increased arginine and 4-aminobutyric acid (GABA) concentration and decreased serotonin and epinephrine content (P < 0.01 or P < 0.05). Accordingly, serum testosterone and androstenedione became detectable at LD_3d in the S-to-L group and were markedly increase at LD_7d. Furthermore, Serum androstenedione showed a significant increase with long light expose (P < 0.01). Additionally, the hypothalamus exhibited both significantly increased L.Tryptophan and phenylalanine concentration, as well as decreased L-glutamine and L-glutamine.acid content (P < 0.01 or P < 0.05). Serotonin metabolism showed significant differences between L-to-S group and S-to-L group. Furthermore, in the correlation analysis, serum testosterone had a positive correlation with 5-Hydroxyindole-3-acetic acid (5-HIAA), while Androstenedione was significantly negative with L.Tryptophan in L-to-S (P < 0.05). However, in S-to-L group, serum testosterone showed strong negative correlation with both serotonin and 5-HIAA (P < 0.05), but positive correlation with L.Tryptophan (P < 0.01), while Androstenedione was significantly negative correlation with both serotonin (P < 0.05) and L-Glutamine (P < 0.01). Photoperiod also had significant effects on the mRNA expression. We found significant differences in gene expression patterns of both serotonin signaling and steroid biosynthesis, while MAOB, NR5A1, and 3β-HSD showed an opposite tendency between two groups. Taken together, our results revealed that circulating gonadal steroids and hypothalamic neurotransmitters were significantly impact quail’s seasonal reproduction. Circulating gonadal steroids have different effects on neurotransmitter at different photoperiodism, which may coordinately influence the seasonal reproduction of quails.
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Affiliation(s)
- Yanglong Xu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Danli Jiang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Jiaxin Liu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Yuting Fu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Yan Song
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Di Fan
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Xuefei Huang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Sui Liufu
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Jianqiu Pan
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Hongjia Ouyang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Yunbo Tian
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Xu Shen
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
| | - Yunmao Huang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
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Jiang D, Barnard J, Choi E, Furr J, Lentz A, van Renterghem K, Selph P, Yafi FA. Immediate Salvage with Inflatable Penile Prosthesis in an Infected Field: A Contemporary Multi-institutional Cohort. J Sex Med 2022. [DOI: 10.1016/j.jsxm.2022.01.388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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27
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Hafeez N, Kirillova A, Jiang D, Wu T, Li G, Sun W, Chan S. AN ACTN4-ATF6B-HLA-DPA1 AXIS CONTROLS THE GENOMIC ARCHITECTURE OF SNP RS9277336 AND REGULATES ENDOTHELIAL PATHOPHENOTYPES IN PULMONARY ARTERIAL HYPERTENSION. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)04468-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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28
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Jiang D, Sun W, Wu T, Zou M, Vasamsetti SB, Zhang X, Zhao Y, Phillippi JA, Sawalha AH, Tavakoli S, Dutta P, Florentin J, Chan SY, Tollison TS, Di Wu, Cui J, Huntress I, Peng X, Finkel T, Li G. Post-GWAS functional analysis identifies CUX1 as a regulator of p16 INK4a and cellular senescence. Nat Aging 2022; 2:140-154. [PMID: 37117763 PMCID: PMC10154215 DOI: 10.1038/s43587-022-00177-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 12/21/2021] [Indexed: 04/30/2023]
Abstract
Accumulation of senescent cells with age is an important driver of aging and age-related diseases. However, the mechanisms and signaling pathways that regulate senescence remain elusive. In this report, we performed post-genome-wide association studies (GWAS) functional studies on the CDKN2A/B locus, a locus known to be associated with multiple age-related diseases and overall human lifespan. We demonstrate that transcription factor CUX1 (Cut-Like Homeobox 1) specifically binds to an atherosclerosis-associated functional single-nucleotide polymorphism (fSNP) (rs1537371) within the locus and regulates the CDKN2A/B-encoded proteins p14ARF, p15INK4b and p16INK4a and the antisense noncoding RNA in the CDK4 (INK4) locus (ANRIL) in endothelial cells (ECs). Endothelial CUX1 expression correlates with telomeric length and is induced by both DNA-damaging agents and oxidative stress. Moreover, induction of CUX1 expression triggers both replicative and stress-induced senescence via activation of p16INK4a expression. Thus, our studies identify CUX1 as a regulator of p16INK4a-dependent endothelial senescence and a potential therapeutic target for atherosclerosis and other age-related diseases.
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Affiliation(s)
- Danli Jiang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wei Sun
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ting Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha, China
| | - Meijuan Zou
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Pharmacology, Nanjing Medical University, Nanjing, China
| | - Sathish Babu Vasamsetti
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Xiaoyu Zhang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yihan Zhao
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Julie A Phillippi
- Department of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amr H Sawalha
- Departments of Pediatrics Medicine, and Immunology & Lupus Center of Excellence, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sina Tavakoli
- Departments of Radiology and Medicine, University of Pittsburgh, UPMC Presbyterian Hospital, Pittsburg, PA, USA
| | - Partha Dutta
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Jonathan Florentin
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Stephen Y Chan
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Tammy S Tollison
- Department of Molecular Biomedical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, NC, USA
| | - Di Wu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Oral and Craniofacial Health Sciences, Adam School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jing Cui
- Department of Medicine, Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA, USA
| | - Ian Huntress
- Department of Molecular Biomedical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, NC, USA
- Bioinformatics Graduate Program, North Carolina State University, Raleigh, NC, USA
| | - Xinxia Peng
- Department of Molecular Biomedical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Toren Finkel
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Gang Li
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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29
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Zhai L, Jiang W, Zang Y, Gao Y, Jiang D, Tian Q, Zhao C. Impact of Thyroid Tissue Status on the Cut-Off Value of Lymph Node Fine-Needle Aspiration Thyroglobulin Measurements in Papillary Thyroid Cancer. Br J Biomed Sci 2022; 79:10210. [PMID: 35996517 PMCID: PMC8915611 DOI: 10.3389/bjbs.2021.10210] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/02/2021] [Indexed: 11/13/2022]
Abstract
Objective: To study the optimal cut-off value of thyroglobulin measurement in a fine-needle aspiration (FNA-Tg) in diagnosing malignant lymph nodes and benign lymph nodes (LNs) according to the thyroid tissue status. Methods: A total of 517 LNs were aspirated: 401 preoperative LNs, 42 LNs after subtotal thyroidectomy and 74 suspected LNs after total thyroidectomy. The cut-off value of FNA-Tg was obtained from receiver operating characteristic (ROC) analysis. The cut-off value with the best diagnostic performance was then obtained by comparing different cut-off values from other studies. Results: LN FNA-Tg levels differed between preoperative and total thyroid disease (p < 0.001) and subtotal thyroidectomy and total thyroidectomy (p = 0.03), but not between preoperative and subtotal thyroidectomy (p = 1.00). Accordingly, those 443 LNs with preoperative and subtotal thyroidectomy were compared to those 74 without thyroid tissue. The optimal cut-off value in thyroid tissue group was 19.4 ng/ml and the area under the ROC curve (AUC) was 0.95 (95% CI 0.92–0.97). The optimal cut-off value in thyroid tissue absence group was 1.2 ng/ml and the AUC was 0.93 (0.85–0.98). After the analysis and comparison of multiple cut-off values, the optimal diagnostic performance was still found to be 19.4 ng/ml and 1.2 ng/ml. Conclusion: The influential factors of FNA-Tg are still controversial, and the optimal cut-off value of FNA-Tg can be determined based on the presence or absence of thyroid tissue. FNA-Tg can be used as an important auxiliary method for diagnosing cervical metastatic LNs of thyroid cancer.
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Affiliation(s)
- L. Zhai
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
- Department of Ultrasound, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, China
| | - W. Jiang
- Health Management Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Y. Zang
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Y. Gao
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - D. Jiang
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Q. Tian
- Department of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - C. Zhao
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
- *Correspondence: C. Zhao,
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30
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Wu T, Jiang D, Zou M, Sun W, Wu D, Cui J, Huntress I, Peng X, Li G. Coupling high-throughput mapping with proteomics analysis delineates cis-regulatory elements at high resolution. Nucleic Acids Res 2022; 50:e5. [PMID: 34634809 PMCID: PMC8754656 DOI: 10.1093/nar/gkab890] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 08/20/2021] [Accepted: 09/17/2021] [Indexed: 12/30/2022] Open
Abstract
Growing evidence suggests that functional cis-regulatory elements (cis-REs) not only exist in epigenetically marked but also in unmarked sites of the human genome. While it is already difficult to identify cis-REs in the epigenetically marked sites, interrogating cis-REs residing within the unmarked sites is even more challenging. Here, we report adapting Reel-seq, an in vitro high-throughput (HTP) technique, to fine-map cis-REs at high resolution over a large region of the human genome in a systematic and continuous manner. Using Reel-seq, as a proof-of-principle, we identified 408 candidate cis-REs by mapping a 58 kb core region on the aging-related CDKN2A/B locus that harbors p16INK4a. By coupling Reel-seq with FREP-MS, a proteomics analysis technique, we characterized two cis-REs, one in an epigenetically marked site and the other in an epigenetically unmarked site. These elements are shown to regulate the p16INK4a expression over an ∼100 kb distance by recruiting the poly(A) binding protein PABPC1 and the transcription factor FOXC2. Downregulation of either PABPC1 or FOXC2 in human endothelial cells (ECs) can induce the p16INK4a-dependent cellular senescence. Thus, we confirmed the utility of Reel-seq and FREP-MS analyses for the systematic identification of cis-REs at high resolution over a large region of the human genome.
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Affiliation(s)
- Ting Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha 410083, China
| | - Danli Jiang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Meijuan Zou
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Wei Sun
- Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Di Wu
- Division of Oral Craniofacial Health Science, Adams School of Dentistry, Department of Biostatistics, UNC Gillings School of Global Public Health, University of North Carolina, NC 27599, USA
| | - Jing Cui
- Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Ian Huntress
- Department of Molecular Biomedical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, NC 27607, USA
- Bioinformatics Graduate Program, North Carolina State University, Raleigh, NC 27695, USA
| | - Xinxia Peng
- Bioinformatics Graduate Program, North Carolina State University, Raleigh, NC 27695, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695, USA
| | - Gang Li
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Medicine, Division of Cardiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15223, USA
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31
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Zhang X, Zou M, Wu Y, Jiang D, Wu T, Zhao Y, Wu D, Cui J, Li G. Regulation of the Late Onset alzheimer's Disease Associated HLA-DQA1/DRB1 Expression. Am J Alzheimers Dis Other Demen 2022; 37:15333175221085066. [PMID: 35341343 PMCID: PMC10581112 DOI: 10.1177/15333175221085066] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
(Genome-wide Association Studies) GWAS have identified ∼42 late-onset Alzheimer's disease (LOAD)-associated loci, each of which contains multiple single nucleotide polymorphisms (SNPs) in linkage disequilibrium (LD) and most of these SNPs are in the non-coding region of human genome. However, how these SNPs regulate risk gene expression remains unknown. In this work, by using a set of novel techniques, we identified 6 functional SNPs (fSNPs) rs9271198, rs9271200, rs9281945, rs9271243, and rs9271247 on the LOAD-associated HLA-DRB1/DQA1 locus and 42 proteins specifically binding to five of these 6 fSNPs. As a proof of evidence, we verified the allele-specific binding of GATA2 and GATA3, ELAVL1 and HNRNPA0, ILF2 and ILF3, NFIB and NFIC, as well as CUX1 to these five fSNPs, respectively. Moreover, we demonstrate that all these nine proteins regulate the expression of both HLA-DQA1 and HLA-DRB1 in human microglial cells. The contribution of HLA class II to the susceptibility of LOAD is discussed.
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Affiliation(s)
- Xiaoyu Zhang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Meijaun Zou
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Pharmacology, Nanjing Medical University, Nanjing, China
| | - Yuwei Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha, China
| | - Danli Jiang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ting Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha, China
| | - Yihan Zhao
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Di Wu
- Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC, USA
- Department of Periodontology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jing Cui
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Gang Li
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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32
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Batra A, Yang S, Zheng C, Jiang D, Rahimian J, Girvigian M, Gould M, Ryoo J. Patterns of Care for Brain Metastasis Radiotherapy (RT) in an Integrated Healthcare System: Does Increasing Utilization of Stereotactic Radiosurgery (SRS) Compared to Whole Brain RT (WBRT) Lead to Excessive Use at the End of Life (EOL)? Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Jiang D, Kuchta K, Amundson J, Tafur A, Morcos O, Lind B, Qamar A, Lee CJ. Increasing prevalence of diabetic peripheral angiopathy and complications in hospitalized patients in the United States. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Objectives
We aim to assess prevalence of diabetes related peripheral arterial disease and associated outcomes in hospitalized patients in the United States.
Methods
Trends in hospitalizations in diabetic patients with PAD were determined using the 2003–2017 National Inpatient Sample database. Hospital outcomes including diabetic ulcer incidence, amputations, and revascularizations were analyzed.
Results
The analysis included 10,303,673 hospitalizations in diabetic patients with PAD (DMPAD) during the study period. Prevalence of PAD among patients with diabetes increased over time (p<0.001). The prevalence of foot ulcers in diabetics have also increased over time (p<0.001). The incidence of amputations in patients with diabetes showed a decreasing trend with increasing prevalence of revascularizations from 2003 to 2009. Since 2010 however, rising rates of amputations, both minor and major are seen, especially in younger populations (age 18–49). Hospital costs for amputations have increased ($6.6 billion in 2003 vs $ 14.8 billion in 2017) as well as the costs for revascularization (6.1 billion in 2003 vs $13 billion in 2017) during the study period (p<0.001).
Conclusions
In this analysis of patients with DMPAD, an alarming rate of disease prevalence and in-hospital limb outcomes, including costs, are realized in the current era.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- D Jiang
- The University of Chicago, Surgery, Chicago, United States of America
| | - K Kuchta
- NorthShore University Health System, Surgery, Chicago, United States of America
| | - J Amundson
- The University of Chicago, Surgery, Chicago, United States of America
| | - A Tafur
- NorthShore University Health System, Cardiology, Chicago, United States of America
| | - O Morcos
- NorthShore University Health System, Surgery, Chicago, United States of America
| | - B Lind
- NorthShore University Health System, Surgery, Chicago, United States of America
| | - A Qamar
- NorthShore University Health System, Cardiology, Chicago, United States of America
| | - C J Lee
- NorthShore University Health System, Surgery, Chicago, United States of America
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Zhen Q, Zhang Y, Yu Y, Yang H, Zhang T, Li X, Mo X, Li B, Wu J, Liang Y, Ge H, Xu Q, Chen W, Qian W, Xu H, Chen G, Bai B, Zhang J, Lu Y, Chen S, Zhang H, Zhang Y, Chen X, Li X, Jin X, Lin X, Yong L, Fang M, Zhao J, Lu Y, Wu S, Jiang D, Shi J, Cao H, Qiu Y, Li S, Kang X, Shen J, Ma H, Sun S, Fan Y, Chen W, Bai M, Jiang Q, Li W, Lv C, Li S, Chen M, Li F, Li Y, Sun L. Three Novel Structural Variations at MHC and IL12B Predisposing to Psoriasis. Br J Dermatol 2021; 186:307-317. [PMID: 34498260 DOI: 10.1111/bjd.20752] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Structural variations (SVs, defined as DNA variants ≥50 bp) have been associated with various complex human diseases. However, research to screen the whole genome for SVs predisposing to psoriasis is still lacking. OBJECTIVES This study aimed to investigate the association of SVs and psoriasis. METHODS We performed a genome-wide screen on SVs using an imputation method on 5 independent cohorts with 45,386 subjects from the Chinese Han population. Fine mapping analysis, genetic interaction analysis and RNA expression analysis were conducted to explore the mechanism of SVs. RESULTS We obtained 4,535 SVs in total and identified 2 novel deletions (esv3608550, OR=2.73, P<2.00×10-308 ; esv3608542, OR=0.47, P=7.40×10-28 ) at 6q21.33 (MHC), 1 novel Alu element insertion (esv3607339, OR=1.22, P=1.18×10-35 ) at 5q33.3 (IL12B), and confirmed 1 previously reported deletion (esv3587563, OR=1.30, P=9.52×10-60 ) at 1q21.2 (LCE) for psoriasis. Fine mapping analysis including SNPs and small Insertions/Deletions (InDels) revealed that esv3608550 and esv3608542 were independently associated with psoriasis, and a novel independent SNP (rs9378188, OR=1.65, P=3.46×10-38 ) was identified at 6q21.33. By genetic interaction analysis and RNA expression analysis, we speculate that the association of 2 deletions at 6q21.33 with psoriasis might relate to their influence on the expression of HLA-C. CONCLUSIONS Our study constructed the most comprehensive SV map for psoriasis thus far and enriched the genetic architecture and pathogenesis of psoriasis as well as highlighted the nonnegligible impact of SVs on complex diseases.
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Affiliation(s)
- Q Zhen
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Y Zhang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Y Yu
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - H Yang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - T Zhang
- Department of Biology, University of Copenhagen, Ole MaalØes Vej 5, 2200, Copenhagen, Denmark
| | - X Li
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - X Mo
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - B Li
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,The Comprehensive Lab, College of Basic, Anhui Medical University
| | - J Wu
- Department of Dermatology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University
| | - Y Liang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - H Ge
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Q Xu
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - W Chen
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - W Qian
- Institute of Dermalology, Guangzhou Medical University, Guangzhou, 510095, China
| | - H Xu
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - G Chen
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - B Bai
- Department of Dermatology at No.2 Hospital, Harbin Medical University, Harbin, Heilongjiang, 150001, China
| | - J Zhang
- Department of Dermatology, The 195 Hospital of Chinese People's Liberation Army, Xianning, Hubei, 437100, China
| | - Y Lu
- Dermatology Department of the First Affiliated Hospital, Nanjng Medical University, Nanjing, Jiangsu, 210029, China
| | - S Chen
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - H Zhang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Y Zhang
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - X Chen
- Department of Dermatology at Chengdu Second People's Hospital, Sichuan, Chengdu, 610017, China
| | - X Li
- Department of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China
| | - X Jin
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China
| | - X Lin
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China
| | - L Yong
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - M Fang
- Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture, Fisheries College, Jimei University, Xiamen, Fujian, 361021, China
| | - J Zhao
- Department of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, Urumqi, 830001, China
| | - Y Lu
- Department of Dermatology at Chengdu Second People's Hospital, Sichuan, Chengdu, 610017, China
| | - S Wu
- Urology Institute of Shenzhen University, The Luohu Affiliated Hospital of Shenzhen University
| | - D Jiang
- Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture, Fisheries College, Jimei University, Xiamen, Fujian, 361021, China
| | - J Shi
- Department of Dermatology at the Second Affiliated Hospital, Baotou Medical College, University Of Science and Technology Of The Inner Mongolia, Baotou, Inner Mongolia, 014030, China
| | - H Cao
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Y Qiu
- Department of Dermatology, Jining No. 1 People's Hospital, Shandong, 272011, China
| | - S Li
- Department of Dermatology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
| | - X Kang
- Department of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, Urumqi, 830001, China
| | - J Shen
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - H Ma
- Department of Dematology, the 2rd Hospital of Xi'an Jiaotong University. Xi'an, Shanxi, 710004, China
| | - S Sun
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Y Fan
- Department of Dermatology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
| | - W Chen
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China
| | - M Bai
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Q Jiang
- Donggang Center Hospital, Dandong, Liaoning, 118300
| | - W Li
- Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, Shandong, 272067, China
| | - C Lv
- Dalian Dermatosis Hospital, Dalian, Liaoning, 116021, China
| | - S Li
- Department of Dermatology at No, Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - M Chen
- Dermatology Hospital, Peking Union Medical College
| | - F Li
- Department of Dermatology, The Second Hospital of Jilin University, Changchun, 130041, China
| | - Y Li
- Department of Dermatology, The 195 Hospital of Chinese People's Liberation Army, Xianning, Hubei, 437100, China
| | - L Sun
- Department of Dermatology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology (Anhui Medical University), Ministry of Education, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China, 230032.,Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
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Li Y, Jiang D, Liu XL, Huang F, Zhang X, Dong Q, Cui YZ. [Effect of primary lesion resection on the prognosis of patients with advanced breast cancer]. Zhonghua Zhong Liu Za Zhi 2021; 43:878-882. [PMID: 34407595 DOI: 10.3760/cma.j.cn112152-20200429-00392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effect of the resection of the primary lesion on the prognosis for patients with stage Ⅳ breast cancer. Methods: A total of 132 breast cancer patients who were first diagnosed as stage Ⅳ in the Hebei Cancer Hospital from June 2008 to June 2015 were divided into two groups: the primary resection group (n=85) and the unresection group (n=47). The influences of primary resection, timing of operation, lymph node removal or dissection and radiotherapy on the prognosis of stage Ⅳ breast cancer patients were analyzed. Results: Multivariate Logistic regression analysis showed that visceral metastasis was an independent influencing factor for primary lesion resection in stage Ⅳ breast cancer patients (OR=2.590, 95% CI: 1.090-6.159). Multivariate Cox regression analysis showed that primary resection was an independent factor for the improvement of prognosis in stage Ⅳ breast cancer patients (OR=0.582, 95% CI: 0.400-0.847). The median overall survival (OS) was 37.20 months in the resection group, which was higher than 24.10 months in the unresection group (χ(2)=8.108, P=0.004). Among patients aged ≥50 years old, the median OS was 39.30 months in the resection group and 23.03 months in the unresection group, and the difference was statistically significant (χ(2)=14.191, P<0.001). The median OS was 38.00 months in the 66 patients with the operation time from diagnosis to resection of primary lesion<6 months (n=66), and 35.20 months for ≥6 months (n=19) (χ(2)=4.430, P=0.035), the difference was statistically significant (χ(2)=4.430, P=0.035). The median OR of axillary lymph node dissection and axillary lymph node excision group were 45.37 months and 33.44 months, respectively, the difference was statistically significant (χ(2)=7.832, P=0.005). The median OS of postoperative radiotherapy group and non-radiotherapy group were 44.80 months and 33.20 months, respectively, the difference was not statistically significant (χ(2)=2.950, P=0.086). Conclusion: Resection of the primary lesion may prolong the survival time of some advanced breast cancer patients.
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Affiliation(s)
- Y Li
- Department of Oncology, the Fourth Hospital of Hebei Medical University (Hebei Cancer Hospital), Shijiazhuang 050011, China
| | - D Jiang
- Department of Oncology, the Fourth Hospital of Hebei Medical University (Hebei Cancer Hospital), Shijiazhuang 050011, China
| | - X L Liu
- Department of Oncology, the Fourth Hospital of Hebei Medical University (Hebei Cancer Hospital), Shijiazhuang 050011, China
| | - F Huang
- Department of Oncology, the Fourth Hospital of Hebei Medical University (Hebei Cancer Hospital), Shijiazhuang 050011, China
| | - X Zhang
- Department of Oncology, the Fourth Hospital of Hebei Medical University (Hebei Cancer Hospital), Shijiazhuang 050011, China
| | - Q Dong
- Department of Oncology, the Fourth Hospital of Hebei Medical University (Hebei Cancer Hospital), Shijiazhuang 050011, China
| | - Y Z Cui
- Department of Oncology, the Fourth Hospital of Hebei Medical University (Hebei Cancer Hospital), Shijiazhuang 050011, China
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Huang C, Sun Q, Jiang D, Zhang X, Chen C, Yan D, Liu X, Zhou Y, Ding C, Lan L, Wu J, Li L, Li A, Liu X, Yang S. Characteristics of facial skin problems and microbiome variation during wearing masks for fighting against COVID-19. J Eur Acad Dermatol Venereol 2021; 35:e853-e855. [PMID: 34363249 PMCID: PMC8446999 DOI: 10.1111/jdv.17580] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 07/29/2021] [Indexed: 01/22/2023]
Affiliation(s)
- C Huang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Q Sun
- Department of Dermatology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - D Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - X Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - C Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - D Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - X Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Y Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - C Ding
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - L Lan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - J Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - L Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - A Li
- Physician Health Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Department of Henan Gene Hospital, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - X Liu
- Department of Dermatology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - S Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Chen S, Liu W, Yang C, Li X, Shen X, Jiang D, Huang Y, Tian Y. Gonadotropin inhibitory hormone downregulates steroid hormone secretion and genes expressions in duck granulosa cells. Anim Reprod 2021; 18:e20210036. [PMID: 34306216 PMCID: PMC8291778 DOI: 10.1590/1984-3143-ar2021-0036] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 06/07/2021] [Indexed: 12/02/2022] Open
Abstract
The mechanisms by which GnIH regulates the steroid synthesis pathway in duck granulosa cells remain poorly understood. In this study, we measured steroid hormone secretion by ELISA and reproduction-associated gene expression by quantitative real-time Polymerase Chain Reaction (qPCR) in duck granulosa cells treated with different concentrations of GnIH (0, 0.1, 1, 10, and 100 ng/mL) for 24 h. The genome-wide expression profiles of GnIH-treated cells (0 and 10 ng/mL) were evaluated by high-throughput RNA sequencing. Compared with untreated cells, the secretion of the steroid hormones E2, E1, P4, and T was downregulated, with that of E1 and P4 reaching statistical significance (P<0.05); in contrast, the secretion of ACV and INH was significantly upregulated (P<0.05) after treatment with 10 and 100 ng/mL GnIH. The expression of encoding steroidogenic proteins and enzymes genes (STAR, CYP11A1, CYP17A1, CYP19A1, and 3-β-HSD) and encoding gonadotropin receptors genes (FSHR, LHR) were significantly declined (P<0.05) in the 10 and 100 ng/mL GnIH treatments. Transcriptome sequencing identified 348 differentially expressed genes (DEGs), including 253 upregulated and 95 downregulated genes. The DEGs were mainly involved in cell growth and death, immune response, and steroid biosynthesis pathways. We identified four novel DEGs (MROH5, LOC113840576, SDR42E1, and LOC113841457) with key roles in the regulation of steroid hormone biosynthesis. Our study revealed changes in gonadal steroid hormone secretion and steroid biosynthesis pathway-related gene expression in duck granulosa cells under the inhibitory effect of GnIH. These data contribute to our understanding of the molecular and genetic mechanisms underlying reproduction in ducks.
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Affiliation(s)
- Shijian Chen
- Zhongkai University of Agriculture and Engineering, Guangdong Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangdong Guangzhou, China
| | - Wenjun Liu
- Zhongkai University of Agriculture and Engineering, Guangdong Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangdong Guangzhou, China
| | - Chen Yang
- Zhongkai University of Agriculture and Engineering, Guangdong Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangdong Guangzhou, China
| | - Xiujin Li
- Zhongkai University of Agriculture and Engineering, Guangdong Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangdong Guangzhou, China
| | - Xu Shen
- Zhongkai University of Agriculture and Engineering, Guangdong Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangdong Guangzhou, China
| | - Danli Jiang
- Zhongkai University of Agriculture and Engineering, Guangdong Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangdong Guangzhou, China
| | - Yunmao Huang
- Zhongkai University of Agriculture and Engineering, Guangdong Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangdong Guangzhou, China
| | - Yunbo Tian
- Zhongkai University of Agriculture and Engineering, Guangdong Guangzhou, China.,Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangdong Guangzhou, China
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Bi F, Qin S, Xu J, Du C, Fan Q, Zhang L, Tao M, Jiang D, Wang S, Chen Y, Sheng J, Zhuang X, Wu J, Liu L. P-89 The correlation between adverse events and survival benefits of donafenib in the first-line treatment of advanced hepatocellular carcinoma. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.05.144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Galloway J, Buch MH, Yamaoka K, Leatherwood C, Pechonkina A, Tiamiyu I, Jiang D, Ye L, Besuyen R, Aletaha D, Winthrop K. OP0126 INFECTIONS AND SERIOUS INFECTIONS IN THE FILGOTINIB RHEUMATOID ARTHRITIS PROGRAM. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:The Janus kinase (JAK)-1 preferential inhibitor filgotinib (FIL) improved rheumatoid arthritis (RA) signs and symptoms in 3 phase (P)3 trials.1–3 Like other RA therapies, JAK inhibition is associated with increased infection rates.4Objectives:To assess long-term safety across the FIL program regarding infections, including serious infections (SI).Methods:Patients (pts) meeting 2010 ACR/EULAR RA criteria in pooled analysis of P2 DARWIN 1–2 (D1–2), P3 FINCH 1–3 (F1–3), and long-term extension studies (DARWIN 3, FINCH 4) were included. The placebo (PBO)-controlled as-randomised data set included pts receiving FIL 100 mg (FIL100), FIL 200 mg (FIL200), or PBO up to week (W)12 (D1–2, F1–2). The active-controlled as-randomised data set included pts receiving FIL100, FIL200, adalimumab (ADA), or methotrexate (MTX) up to W52 (F1, F3). The long-term as-treated data set included pts in all 7 studies receiving FIL100 or FIL200; data after rerandomisation were included and contributed to treatment received.Exposure-adjusted incidence rates (EAIRs) per 100 patient-years exposure (PYE) and differences with 95% confidence intervals (CIs) were calculated using Poisson regression; EAIRs for tuberculosis (TB) in active controlled sets were calculated using an Exact Poisson method. Kaplan-Meier (KM) event probabilities with 95% CIs were provided for SI. If pts had multiple events within the same treatment period, only the first event was counted in EAIR calculation; PYE were calculated up to the last follow-up time or day before next treatment, including after first event. For KM analysis, time to event was calculated until the first event.Results:Of 2267/1647 pts in as-treated set receiving FIL200/FIL100, 1697 had treatment-emergent infection; 118 were SI. Baseline potential risk factors for pts with SI are in Table.Table 1.Baseline characteristics of pts with/without treatment emergent SIaParameter, n (%)SIN = 92No SIN = 2491Medical history Chronic lung disease13 (14.1)125 (5.0) Chronic renal disease3 (3.3)23 (0.9) Infections and infestations29 (31.5)499 (20.0)Baseline body mass index, kg/m2 <3064 (69.6)1749 (70.2) ≥3028 (30.4)742 (29.8)Age, years <6567 (72.8)2006 (80.5) ≥6525 (27.2)485 (19.5)Former/current smoker30 (32.6)677 (27.2)Oral corticosteroids, mg <7.528 (56.0)731 (66.1) ≥7.522 (44.0)375 (33.9) Missing data421385aPhase 3 (FINCH 1-4) studies, as randomised.SI, serious infection.In 12W PBO-controlled period, infection rates were 17.9%/15.6%/13.3% for FIL200/FIL100/PBO. In 52W ADA-controlled period, infection EAIRs (95% CIs)/100 PYE were 46.9 (40.9, 53.7)/43.7 (38.0, 50.4)/43.4 (36.5, 51.5), FIL200/FIL100/ADA; and 38.5 (33.8, 43.9)/39.0 (31.1, 48.8)/42.2 (36.1, 49.3), FIL200/FIL100/MTX in 52W MTX-controlled period; 24.8 (23.1, 26.5)/34.4 (30.4, 38.8), FIL200/FIL100 in long-term analysis. In 12W PBO-controlled period, there was no active TB for FIL200/FIL100/PBO. In 52W ADA-controlled period, active TB EAIRs (95% CIs)/100 PYE were: 0 (0.0, 0.8)/0 (0.0, 0.8)/0.3 (0.0, 1.9), FIL200/FIL100/ADA and 0 (0.0, 0.6)/0 (0.0, 1.9)/0 (0.0, 1.0), FIL200/FIL100/MTX in 52W MTX-controlled period; 0/0.1 (0.0, 0.5), FIL200/FIL100 in long-term analysis.SI rate or EAIRs are in Figure. Most common infections were upper respiratory tract infection and nasopharyngitis; majority were low grade. Pneumonia was most common SI (<1%). In long-term population, event probability (95% CI) of SI was 2.2% (1.6, 2.9)/2.5% (1.8, 3.4) for FIL200/FIL100 at 52W. In F1–3 (excluding data after rerandomisation), there were no significant changes in mean neutrophil and lymphocyte counts; values remained within normal limits up to W52 for all arms.Conclusion:EAIRs of infections and SI for FIL were similar to PBO, ADA, and MTX. At 52W, incidence rates of SI were comparable for FIL100 and FIL200. Long-term SI EAIR for FIL100 was slightly higher than for FIL200.References:[1]Genovese et al. JAMA. 2019;322:315–25.[2]Westhovens et al. Ann Rheum Dis. 2021; online first.[3]Combe et al. Ann Rheum Dis. 2021; online first.[4]Strand et al. Arthritis Res Ther. 2015;17:362.Disclosure of Interests:James Galloway Speakers bureau: Pfizer, Bristol-Myers Squibb, UCB and Celgene, Maya H Buch Consultant of: Pfizer; AbbVie; Eli Lilly; Gilead Sciences, Inc.; Merck-Serono; Sandoz; and Sanofi, Grant/research support from: Pfizer, Roche, and UCB, Kunihiro Yamaoka Speakers bureau: AbbVie, Actelion Pharmaceuticals Japan, Asahikasei Pharma Corp, Astellas Pharma, AYUMI Pharma Co, Boehringer Ingelheim Japan, Bristol-Myers Squibb, Chugai Pharma, Daiichi Sankyo, Eisai Pharma, Eli Lilly, GlaxoSmithKline, Gilead G.K., Hisamitsu Pharma Co., Janssen Pharma, Mitsubishi-Tanabe Pharma, MSD, Nippon Kayaku, Nippon Shinyaku, Ono Pharma, Otsuka Pharma, Pfizer, Sanofi, and Takeda Industrial Pharma, Consultant of: Asahikasei Pharma Corp., AbbVie, Gilead G.K., Pfizer, Astellas Pharma Inc, Eli Lilly Japan K.K., and Japan Tobacco Inc., Grant/research support from: Takeda Industrial Pharma, Pfizer, Astellas Pharma, Daiichi Sankyo, Eli Lilly, Eisai Pharma, Teijin Pharma, MSD, Shionogi, Chugai Pharma, Nippon Kayaku, Mitsubishi-Tanabe Pharma, and AbbVie, Cianna Leatherwood Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Iyabode Tiamiyu Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Deyuan Jiang Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Lei Ye Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Robin Besuyen Shareholder of: Galapagos BV, Employee of: Galapagos BV, Daniel Aletaha Speakers bureau: AbbVie, Celgene, Lilly, Merck, Novartis, Pfizer, Sanofi Genzyme, UCB, Consultant of: AbbVie, Amgen, Celgene, Lilly, Medac, Merck, Novartis, Pfizer, Roche, Sandoz, Sanofi Genzyme, Grant/research support from: AbbVie, Novartis, Roche, Kevin Winthrop Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly and Co., Galapagos NV, Gilead Sciences, GlaxoSmithKline, Pfizer, Roche, and UCB, Grant/research support from: AbbVie, Bristol-Myers Squibb, and Pfizer
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Taylor PC, Charles-Schoeman C, Alani M, Trivedi M, Castellano V, Tiamiyu I, Jiang D, Ye L, Strengholt S, Nurmohamed M, Burmester GR. POS0660 CONCOMITANT USE OF STATINS IN FILGOTINIB-TREATED PATIENTS WITH RHEUMATOID ARTHRITIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.933] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:The Janus kinase-1 preferential inhibitor filgotinib (FIL) improved rheumatoid arthritis (RA) signs and symptoms in phase (P)3 trials.1–3 RA elevates cardiovascular disease risk; statins are used to reduce risk.Objectives:To assess safety of statin and filgotinib coadministration across the clinical program.Methods:Patients (pts) meeting 2010 ACR/EULAR RA criteria in P2 DARWIN 1–2 (D1–2; NCT01888874, NCT01894516), P3 FINCH 1–3 (F1–3; NCT02889796, NCT02873936, NCT02886728), and long-term extensions DARWIN 3 and FINCH 4 (D3, F4; NCT02065700, NCT03025308) receiving FIL 100 mg (FIL100) QD, FIL 200 mg QD (FIL200), adalimumab (ADA), methotrexate (MTX), or placebo (PBO) were included. Events related to statin use were analysed as exposed by treatment received. N and % were provided.Week (W)12 PBO-controlled safety analysis included pts receiving FIL100, FIL200, or PBO for ≤12W (D1–2, F1–2); as-treated safety analysis included pts receiving long-term FIL100 QD (n=1647), FIL200 QD (n=2267), ADA (n=325), MTX (n=416), or PBO (n=781) (D1–3, F1–4); P3 as-randomised analysis included data up to W52 (F1–3) per assigned treatment.Results:In each arm, similar proportions of pts took statins at baseline (9.4%–11.9%); initiation during study was low (1.2%–6.8%). Through W12 in PBO-controlled analysis, mean creatine phosphokinase (CPK; Figure 1), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) levels were similar regardless of statin use and remained within normal levels across all arms.Mean baseline ALT and AST levels were 20–23 and 20–22 U/L, respectively; at W12, ALT and AST ranged from 22–24 and 20–25 U/L, respectively. Graded CPK, ALT, and AST elevations are in Table 1.Table 1.Graded laboratory abnormalities at week 12 by baseline statin use in PBO-controlled analysisConcomitantNoneFIL200(n=68)FIL100(n=95)PBO(n=93)FIL200 (n=709)FIL100(n=693)PBO(n=688)CPK increased*598281562549537G1 (≤2.5×ULN)10 (16.9)13 (15.9)6 (7.4)71 (12.6)47 (8.6)18 (3.4)G2 (>2.5 to 5×ULN)3 (5.1)006 (1.1)2 (0.4)3 (0.6)G3 (>5 to 10×ULN)0001 (0.2)03 (0.6)G4 (>10×ULN)0001 (0.2)2 (0.4)0AST increased**689492708692684G1 (≤3.0×ULN)9 (13.2)11 (11.7)7 (7.6)97 (13.7)79 (11.4)60 (8.8)G2 (>3.0 to 5.0×ULN)0003 (0.4)2 (0.3)3 (0.4)G3 (>5.0 to 20.0×ULN)01 (1.1)02 (0.3)00G4 (>20.0×ULN)000000ALT increased**689492708692684G1 (≤3.0×ULN)13 (19.1)14 (14.9)13 (14.1)98 (13.8)92 (13.3)72 (10.5)G2 (>3.0 to 5.0×ULN)02 (2.1)010 (1.4)5 (0.7)6 (0.9)G3 (>5.0 to 20.0×ULN)0001 (0.1)01 (0.1)G4 (>20.0×ULN)000000Data are n (%). Grading per Common Terminology Criteria for Adverse Events v4.03*FINCH 1–2**DARWIN 1–2, FINCH 1–2ALT, alanine aminotransferase; AST, aspartate aminotransferase; CPK, creatine phosphokinase; csDMARD, conventional synthetic disease-modifying antirheumatic drug; FIL200/100, filgotinib 200/100 mg + csDMARDs; Grade, G; PBO, placebo; ULN, upper limit of normal.In the long-term as-treated analysis, 1 (0.5%)/6 (3.2%)/0/0/0 treatment-emergent adverse events (AE) of myalgia occurred in pts on statins at baseline receiving FIL200/FIL100/ADA/MTX/PBO and in 12 (0.6%)/8 (0.5%)/3 (1.0%)/2 (0.5%)/1 (0.1%) pts not on statins. Muscle spasms occurred in 2 (0.9%)/3 (1.6%)/1 (3.2%)/0/1 (1.1%) pts on statins at baseline receiving FIL200/FIL100/ADA/MTX/PBO and 21 (1.0%)/8 (0.5%)/0/3 (0.8%)/1 (0.1%) pts not on statins at baseline. One patient not on statins receiving FIL200 reported rhabdomyolysis. For all treatment arms in P3 as-randomised analysis, mean LDL and HDL increased similarly from baseline (108–110 and 56–59 mg/dL, respectively) to W52 (119–130 and 59–71 mg/dL, respectively).Conclusion:No increases in statin-induced AEs such as muscle or liver toxicities occurred with statins and filgotinib coadministration; results are supported by a drug-drug interaction study.4 Mean LDL and HDL increased at W52 in all treatment arms.References:[1]Genovese et al. JAMA. 2019;322:315–25.[2]Westhovens et al. Ann Rheum Dis. 2021; online first.[3]Combe et al. Ann Rheum Dis. 2021; online first.[4]Anderson et al. EULAR 2021 abstract.Disclosure of Interests:Peter C. Taylor Consultant of: AbbVie, Biogen, Eli Lilly, Fresenius, Galapagos, Gilead, GlaxoSmithKline, Janssen, Nordic Pharma, Pfizer, Roche, BMS, Sanofi, Celltrion, and UCB, Grant/research support from: Celgene, Eli Lilly, Galapagos, and Gilead, Christina Charles-Schoeman Consultant of: Gilead, Pfizer, and Regeneron-Sanofi, Grant/research support from: AbbVie, Bristol-Myers Squibb and Pfizer Inc, Muhsen Alani Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Mona Trivedi Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Vanessa Castellano Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Iyabode Tiamiyu Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Deyuan Jiang Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Lei Ye Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Sander Strengholt Shareholder of: Galapagos BV, Employee of: Galapagos BV, Michael Nurmohamed Speakers bureau: AbbVie, Bristol-Myers Squibb, Eli Lilly, Roche, and Sanofi, Consultant of: AbbVie, Celgene, Celltrion, Eli Lilly, Janssen, and Sanofi, Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Mundipharma, Novartis, Pfizer, Roche, and Sanofi, Gerd Rüdiger Burmester Speakers bureau: AbbVie, Eli Lilly, Pfizer, and Gilead Sciences, Inc., Consultant of: AbbVie, Eli Lilly, Pfizer, and Gilead Sciences, Inc.
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Zou M, Jiang D, Wu T, Zhang X, Zhao Y, Wu D, Sun W, Cui J, Moreland L, Li G. Post-GWAS functional studies reveal an RA-associated CD40-induced NF-kB signal transduction and transcriptional regulation network targeted by class II HDAC inhibitors. Hum Mol Genet 2021; 30:823-835. [PMID: 33517445 PMCID: PMC8161515 DOI: 10.1093/hmg/ddab032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/08/2021] [Accepted: 01/20/2021] [Indexed: 01/17/2023] Open
Abstract
Currently, it remains difficult to identify which single nucleotide polymorphisms (SNPs) identified by genome-wide association studies (GWAS) are functional and how various functional SNPs (fSNPs) interact and contribute to disease susceptibility. GWAS have identified a CD40 locus that is associated with rheumatoid arthritis (RA). We previously used two techniques developed in our laboratory, single nucleotide polymorphism-next-generation sequencing (SNP-seq) and flanking restriction enhanced DNA pulldown-mass spectrometry (FREP-MS), to determine that the RA risk gene RBPJ regulates CD40 expression via a fSNP at the RA-associated CD40 locus. In the present work, by applying the same approach, we report the identification of six proteins that regulate RBPJ expression via binding to two fSNPs on the RA-associated RBPJ locus. Using these findings, together with the published data, we constructed an RA-associated signal transduction and transcriptional regulation network (STTRN) that functionally connects multiple RA-associated risk genes via transcriptional regulation networks (TRNs) linked by CD40-induced nuclear factor kappa B (NF-kB) signaling. Remarkably, this STTRN provides insight into the potential mechanism of action for the histone deacetylase inhibitor givinostat, an approved therapy for systemic juvenile idiopathic arthritis. Thus, the generation of disease-associated STTRNs based on post-GWAS functional studies is demonstrated as a novel and effective approach to apply GWAS for mechanistic studies and target identification.
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Affiliation(s)
- Meijuan Zou
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Pharmacology, Nanjing Medical University, Nanjing 211166, China
| | - Danli Jiang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Ting Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha 410083, China
| | - Xiaoyu Zhang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Yihan Zhao
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Di Wu
- Department of Periodontology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Wei Sun
- Department of Medicine, Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Jing Cui
- Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Larry Moreland
- Department of Medicine, Division of Rheumatology, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Gang Li
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
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Li W, Xiang X, Cao N, Chen W, Tian Y, Zhang X, Shen X, Jiang D, Xu D, Xu S. Polysaccharide of atractylodes macrocephala koidz activated T lymphocytes to alleviate cyclophosphamide-induced immunosuppression of geese through novel_mir2/CD28/AP-1 signal pathway. Poult Sci 2021; 100:101129. [PMID: 34058564 PMCID: PMC8170423 DOI: 10.1016/j.psj.2021.101129] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/04/2021] [Accepted: 03/05/2021] [Indexed: 11/25/2022] Open
Abstract
Polysaccharide Of Atractylodes Macrocephala Koidz (PAMK) has been proved to have anti-cancer, antitumor, anti-inflammation function and improve the immune level of the organism. The miRNA plays a very important role in regulating the immune function by negatively regulate the expression of target genes. To explore the molecular mechanism of PAMK active the lymphocytes, thirty 61-d-old geese were randomly divided into 4 groups (C, CTX, PAMK, PAMK+CTX). The thymus morphology, the level of serum granulocyte-macrophage colony-stimulating factor (GMC-SF), IL-1β, IL-3, IL-5, the relative mRNA expression of CD25, novel_mir2, CTLA4 and CD28 signal pathway were measured. Further more, the lymphocytes was extracted from thymus to measure the relative mRNA expression of CD28 signal pathway. The results showed that PAMK could significantly maintain normal cell morphology of thymus, alleviate the decrease level of GMC-SF, IL-1β, IL-5, IL-6, TGF-β, the increase level of IL-4, IL-10, and the decrease relative mRNA expression of novel_mir2, CD25 and CD28 signal pathway in thymus and lymphocytes induced by cyclophosphamide (CTX). In conclusion, PAMK alleviated the decreased T lymphocytes activation levels induced by CTX through novel_mir2/CTLA4/CD28/AP-1 signal pathway.
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Affiliation(s)
- Wanyan Li
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, P. R. China; College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Xuelian Xiang
- College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Nan Cao
- College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Wenbin Chen
- College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Yunbo Tian
- College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Xumeng Zhang
- College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Xu Shen
- College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Danli Jiang
- College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Danning Xu
- College of Animal Science & Technology, Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, P. R. China
| | - Shiwen Xu
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, P. R. China.
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Zhou C, Jiang L, Dong X, Gu K, Pan Y, Shi Q, Zhang G, Wang H, Zhang X, Yang N, Li Y, Xiong J, Yi T, Peng M, Song Y, Fan Y, Cui J, Chen G, Tan W, Zang A, Guo Q, Zhao G, Wang Z, He J, Yao W, Wu X, Chen K, Hu X, Hu C, Yue L, Jiang D, Wang G, Liu J, Yu G. MA01.04 A Randomized Study Comparing Cisplatin/Paclitaxel Liposome vs Cisplatin/Gemcitabine in Chemonaive, Advanced Squamous NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Yu J, Xing L, Cheng G, Chen L, Dong L, Fu X, Guo Y, Han Z, Jiang D, Li J, Lin Y, Liu A, Liu J, Liu J, Liu Y, Lv D, Ma C, Ren Y, Wang S, Wang Y, Xiao C, Yan S, Yang F, Yang W, Zang A, Zhang X, Zhang Y, Zhao R, Zhou J. P21.10 Real-World Treatment Patterns in Chinese Stage III NSCLC Patients - A Prospective, Non-Interventional Study (MOOREA trial). J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Wang TY, Chen YC, Wang W, Jiang D, Liu L, Yang H, Wang AP. [Mechanism of maggot debridement therapy in promoting wound angiogenesis in patients with diabetic foot ulcer]. Zhonghua Shao Shang Za Zhi 2020; 36:1040-1049. [PMID: 33238687 DOI: 10.3760/cma.j.cn501120-20191022-00409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the mechanism of maggot debridement therapy (MDT) in promoting wound angiogenesis in patients with diabetic foot ulcer (DFU). Methods: (1) From June 2018 to June 2019, the patients admitted to Nanjing Junxie Hospital who met the inclusion criteria were recruited, including 12 DFU patients given MDT for three days [6 males and 6 females, aged (56±12) years] and 12 acute trauma patients without diabetes mellitus [6 males and 6 females, aged (53±10) years], who were enrolled into DFU group and non-diabetic trauma group respectively. Before and after application of MDT, the wound characteristics of patients in DFU group were observed and the wound tissue samples were taken. The wound tissue in non-diabetic trauma group was taken at patient's first visit before debridement. The expression of angiogenesis marker CD31 in the wound tissue of patients in DFU group was detected by immunohistochemistry before and after application of MDT. Western blotting and real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-PCR) were used respectively to detect the protein and mRNA expressions of fatty acid synthase (FAS) in wound tissue of patients in DFU group before and after application of MDT and in non-diabetic trauma group before debridement. (2) Human umbilical vein endothelial cells (HUVECs) were cultured in endothelial cell culture medium containing 10% fetal bovine serum. The 3rd to 6th passages of cells in logarithmic growth phase were used in the following experiments. Excretions/secretions (ES) were extracted from 3-day-old sterile Lucilia sericata larvae for subsequent experiments. Three batches of cells were divided into phosphate buffer solution (PBS) control group, high glucose alone group, high glucose+ 5 μg/mL maggot ES group, and high glucose+ 10 μg/mL maggot ES group, which were treated with PBS, glucose in final molarity concentration of 20 mmol/L, glucose in final molarity concentration of 20 mmol/L+ maggot ES in final mass concentration of 5 μg/mL, and glucose in final molarity concentration of 20 mmol/L+ maggot ES in final mass concentration of 10 μg/mL respectively. The total volume of reagents in each group was the same. After 48 hours of culture, Western blotting, real-time fluorescent quantitative RT-PCR and immunofluorescence method were used to detect the protein and mRNA expressions of FAS in each batch of cells and the expression and localization of FAS protein in cells respectively. The number of samples for mRNA expression was 3. (3) Two batches of cells were divided into small interference RNA (siRNA) alone group, siRNA control+ maggot ES group and siRNA-FAS+ maggot ES group, which were transfected with 100 μmol/L (final molarity concentration) insignificant control siRNA, insignificant control siRNA, and siRNA-FAS for 4-6 h respectively, and then they were routinely cultured for 24 h with PBS added, maggot ES in final mass concentration of 10 μg/mL, and maggot ES in final mass concentration of 10 μg/mL respectively. The total volume of reagents in each group was the same. One batch of cells was used for scratch test, the scratch width was observed at 24 hour after scratching to detect the cell migration ability; one batch of cells was subjected to tube forming experiment, and the formation of cell tubules was observed after 24 hours of culture. The number of samples was 3 in scratch test and tube forming experiments. Data were statistically analyzed with t test, one-way analysis of variance, least significant difference test, analysis of variance for repeated measurement, and Bonferroni method. Results: (1) Compared with those before application of MDT, fresh granulation tissue significantly increased and necrotic tissue decreased obviously in wound, and the expression of CD31 significantly increased in wound tissue of patients in DFU group after application of MDT. The expression of FAS protein in wound tissue of patients in DFU group before application of MDT was significantly lower than that in non-diabetic trauma group before debridement, and the expression of FAS protein in wound tissue of patients in DFU group after application of MDT was significantly higher than that before application of MDT. The expression of FAS mRNA in wound tissue of patients in DFU group before application of MDT was 1.00±0.17, which was significantly less than 3.87±1.02 in non-diabetic trauma group before debridement (t=9.808, P<0.01). The expression of FAS mRNA in wound tissue of patients in DFU group after application of MDT was 1.85±0.31, which was significantly higher than that before application of MDT (t=-10.853, P<0.01). (2) After 48 hours of culture, Western blotting detection showed that the expression of FAS protein in cells in high glucose alone group was significantly less than that in PBS control group, and the expressions of FAS protein in cells in high glucose+ 5 μg/mL maggot ES group and high glucose+ 10 μg/mL maggot ES group were significantly higher than the expression in high glucose alone group. Real-time fluorescent quantitative RT-PCR determination showed that the expression of FAS mRNA in cells in high glucose alone group was 0.392±0.073, which was significantly lower than 1.000±0.085 in PBS control group (P<0.01); there was statistically significant difference between the expression of FAS mRNA in cells in high glucose+ 5 μg/mL maggot ES group (0.561±0.047) and that in high glucose+ 10 μg/mL maggot ES group (0.687±0.013) (P<0.05), both of which were significantly higher than the expression in high glucose alone group (P<0.01). The results of immunofluorescence detection showed that FAS protein was mainly located in the cytoplasm of cells in each group, and its expression was similar to that detected by Western blotting. (3) At 24 hour after scratch, the uncured widths of cell scratch in siRNA control+ maggot ES group and siRNA-FAS+ maggot ES group were significantly narrower than the uncured width in siRNA alone control group (P<0.01), and the uncured width of cell scratch in siRNA-FAS+ maggot ES group was significantly wider than that in siRNA control+ maggot ES group (P<0.01). After 24 hours of culture, the numbers of tubules in siRNA+ maggot ES group and siRNA-FAS+ maggot ES group were significantly more than the number in siRNA alone control group (P<0.05 or P<0.01), and the number of tubules in siRNA-FAS+ maggot ES group was obviously less than that in siRNA control+ maggot ES group (P<0.05). Conclusions: MDT up-regulates the expression of FAS through maggot ES, which promotes the activity of vascular endothelial cells, thus promoting the wound angiogenesis in patients with DFU.
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Affiliation(s)
- T Y Wang
- Department of Endocrinology, Nanjing Junxie Hospital, Diabetes Foot Center, Nanjing 210000, China
| | - Y C Chen
- Department of Endocrinology, Nanjing Junxie Hospital, Diabetes Foot Center, Nanjing 210000, China
| | - W Wang
- Department of Endocrinology, Nanjing Junxie Hospital, Diabetes Foot Center, Nanjing 210000, China
| | - D Jiang
- Department of Endocrinology, Nanjing Junxie Hospital, Diabetes Foot Center, Nanjing 210000, China
| | - L Liu
- Department of Endocrinology, Nanjing Junxie Hospital, Diabetes Foot Center, Nanjing 210000, China
| | - H Yang
- Department of Endocrinology, Nanjing Junxie Hospital, Diabetes Foot Center, Nanjing 210000, China
| | - A P Wang
- Department of Endocrinology, Nanjing Junxie Hospital, Diabetes Foot Center, Nanjing 210000, China
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Liu X, Zhong LX, Jiang D, Chen Y, Gong W, Lv M. [Effects of occupational nickel exposure on glycemic parameters in workers]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:843-845. [PMID: 33287479 DOI: 10.3760/cma.j.cn121094-20190927-00405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effect of occupational nickel exposure on blood glucose related indicators of workers. Methods: In March 2019, five electroplating enterprises and one plastic hardware enterprise were selected by cluster sampling method. 159 nickel plating workers were selected as the contact group, and 66 administrative personnel of the same enterprise were selected as the control group. The serum nickel concentration, fasting blood glucose (FPG) , fasting insulin (FIns) and glycosylated hemoglobin (HbA1c) were measured in the contact group and the control group. The differences of blood glucose related indexes between the two groups were compared, and the risk factors of abnormal blood glucose indexes were analyzed. Results: Compared with the control group, the blood nickel concentration and detection rate of nickel in the contact group were higher, the levels of FIns were lower, and the proportion of HbA1c was higher in the contact group (P<0.05) . Stratified analysis showed that compared with the control group, the blood glucose index of men in the contact group changed significantly (P<0.05) ; logistic regression analysis showed that male was an independent influencing factor for decreased FIns (OR=8.264, P<0.05) . Conclusion: Long term exposure to nickel can affect the blood glucose related indexes such as fins and HbA1c.
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Affiliation(s)
- X Liu
- Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210028, China
| | - L X Zhong
- Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210028, China
| | - D Jiang
- Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210028, China
| | - Y Chen
- Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210028, China
| | - W Gong
- Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210028, China
| | - M Lv
- Changshu Municipal Center for Disease Control and Prevention, Changshu 215500, China
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Duringer J, Roberts H, Doupovec B, Faas J, Estill C, Jiang D, Schatzmayr D. Effects of deoxynivalenol and fumonisins fed in combination on beef cattle: health and performance indices. WORLD MYCOTOXIN J 2020. [DOI: 10.3920/wmj2020.2567] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Interactions between livestock management practices and toxicological outcomes of mycotoxin exposure may explain the range of tolerable toxin levels reported for various species. In the current study, we investigated the effect of concurrent mycotoxin exposure with a high starch diet in 12 beef steers in a partial cross-over experiment using a 21-day treatment period, followed by a 14-day clearance. During the treatment period, animals were assigned to one of two diets: a low mycotoxin control total mixed ration (TMR) (0.2±0.1 mg deoxynivalenol (DON) and 0.2±0.2 mg fumonisins (FUM)/kg TMR) and a high mycotoxin TMR treatment (1.7±0.2 mg DON and 3.5±0.3 mg FUM/kg TMR). We evaluated the impacts of these mycotoxins on performance, physiology and biochemistry; and the ability of the clearance period to return animals to a naïve state in the cross-over model. The lack of acute ruminal acidosis observed indicates that the animals were able to withstand the physiological stresses of the high starch diet, while toxicological outcomes were manifested in minor perturbations of biochemistry and outright performance of exposed animals. Aspartate aminotransferase, cholesterol, fibrinogen and leukocyte count were increased while sorbitol dehydrogenase, bile acids and mean corpuscular volume were decreased in treatment-fed steers, yet were not significantly different than those from control-fed animals. Fusarium toxin exposure significantly decreased ruminal fluid pH, with the clearance period returning animals to a naïve state, as it did for most of the molecular variables measured. Conversely, treatment-fed animals continued to exhibit significantly lower average weekly body weight throughout the treatment period and the first week of the clearance period. While the risk of adverse health effects to fattening cattle from similar doses of DON or FUM as used in the current study is considered low, additional work should be directed towards minimising production losses due to these feed contaminants.
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Affiliation(s)
- J.M. Duringer
- Department of Environmental & Molecular Toxicology, College of Agricultural Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - H.L. Roberts
- Department of Animal & Rangeland Sciences, College of Agricultural Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - B. Doupovec
- BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria
| | - J. Faas
- BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria
| | - C.T. Estill
- Department of Clinical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, OR 97331, USA
| | - D. Jiang
- Department of Statistics, College of Science, Oregon State University, Corvallis, OR 97331, USA
| | - D. Schatzmayr
- BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria
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Jiang D, Liu H, Zhu G, Li X, Fan L, Yu Z, Wang S, Rhen J, Yin Y, Gu Y, Xu X, Fisher E, Ge J, Xu Y, Pang J. PHACTR1, a pro-atherosclerotic mechanosensitive PPARgamma corepressor in endothelial cells. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Numerous genome-wide association studies revealed that SNPs at phosphatase and actin regulator 1 (PHACTR1) locus are strongly correlated with coronary artery disease (CAD). However, the mechanism linking these variants to CAD remains uncertain.
Purpose
We studied the biological functions and molecular mechanisms of PHACTR1 in atherosclerosis.
Methods and results
Analysis of GTEx database showed that CAD-related SNPs in PHACTR1 are cis-eQTLs for PHACTR1 in arteries. Therefore, we generated Phactr1 knockout mice and crossed them with apolipoprotein E-deficient (ApoE−/−) mice to induce atherosclerosis by high-fat/high-cholesterol (HF-HC) diet. Phactr1 deficiency significantly inhibited atherosclerosis with decreased inflammatory cell infiltration. Western blot showed that PHACTR1 was restricted to endothelial cells (ECs) in mice. Mechanistically, RNAseq of aortic ECs revealed that the major molecular function of PHACTR1 was transcriptional regulation. PPARγ/RXRα was the top transcription factor, and PPARγ target gene expression substantially increased in Phactr1−/− mice. Moreover, we generated endothelial cell specific Phactr1−/−, ApoE−/− mice and found decreased atherosclerotic plaque area in aortic sinus. In vitro, PHACTR1 associated with PPARγ and inhibited PPARγ transcriptional activity. The inhibitory effect of PHACTR1 on PPARγ required its shuttling from cytosol to nucleus triggered by disturbed flow, a well-established pro-atherosclerotic stimulus.
Conclusion
Our results identified PHACTR1 as a mechanosensitive corepressor of PPARγ in ECs to promote atherosclerosis. Endothelial PHACTR1 is a potential therapeutic target for atherosclerosis treatment.
Funding Acknowledgement
Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Natural Science Foundation of China (NSFC), China Postdoctoral Science Foundation (CPSF)
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Affiliation(s)
- D Jiang
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - H Liu
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - G Zhu
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - X Li
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - L Fan
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - Z Yu
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - S Wang
- University of Rochester School of Medicine and Dentistry, Aab Cardiovascular Research Institute and Department of Medicine, Rochester, United States of America
| | - J Rhen
- University of Rochester School of Medicine and Dentistry, Aab Cardiovascular Research Institute and Department of Medicine, Rochester, United States of America
| | - Y Yin
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - Y Gu
- Shanghai Naturethink Life Science&Technology Co., Itd, Shanghai, China
| | - X Xu
- University of Rochester School of Medicine and Dentistry, Aab Cardiovascular Research Institute and Department of Medicine, Rochester, United States of America
| | - E Fisher
- New York University School of Medicine, Division of Cardiology, Department of Medicine, New York, United States of America
| | - J Ge
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - Y Xu
- Tongji University School of Medicine, Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People's Hospital, Shanghai, China
| | - J Pang
- University of Rochester School of Medicine and Dentistry, Aab Cardiovascular Research Institute and Department of Medicine, Rochester, United States of America
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Wang X, Zhang J, Song J, Huang M, Cai J, Zhou Q, Dai T, Jiang D. Abscisic acid and hydrogen peroxide are involved in drought priming-induced drought tolerance in wheat (Triticum aestivum L.). Plant Biol (Stuttg) 2020; 22:1113-1122. [PMID: 32530558 DOI: 10.1111/plb.13143] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 05/31/2020] [Indexed: 06/11/2023]
Abstract
Drought is one of the major stress factors in wheat production on a global scale. Drought priming during the early growth stage can enhance drought tolerance in wheat (Triticum aestivum L.). Abscisic acid (ABA) and hydrogen peroxide (H2 O2 ) are important signal molecules in the adaptation of plants to drought stress. However, the roles of ABA and H2 O2 in drought priming-induced drought tolerance are not clear. In the present study, we evaluated the responses of wheat to an ABA inhibitor, H2 O2 scavenger and an inhibitor to investigate the (i) relationship between ABA and H2 O2 in osmotic adjustment after drought priming in the vegetative stage and (ii) responses to drought stress during grain filling. In the drought priming alone treatments, chemical application resulted in the scavenging of ABA and H2 O2 , weakening the alleviation effects of drought priming on drought stress, as demonstrated by the lower leaf water potential and grain yield. The ABA inhibitor completely inhibited accumulation of ABA and H2 O2 ; the ABA inhibitor inhibited respiratory burst oxidase homologue expression, whereas the H2 O2 inhibitor resulted in higher 9-cis-epoxycarotenoid dioxygenase expression and ABA concentration in primed plants, indicating that ABA scavenging inhibited H2 O2 biosynthesis while H2 O2 scavenging did not inhibit ABA biosynthesis. The results further demonstrated that NADPH oxidase-mediated H2 O2 production functions downstream of ABA, which induces osmolyte transcript expression and accumulation, and thus contributes to drought priming-induced stress tolerance. These results provide a theoretical basis for a better understanding of the mechanisms involved in drought priming-induced tolerance in wheat plants.
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Affiliation(s)
- X Wang
- National Technique Innovation Center for Regional Wheat Production, Key Laboratory of Crop Ecophysiology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - J Zhang
- National Technique Innovation Center for Regional Wheat Production, Key Laboratory of Crop Ecophysiology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - J Song
- National Technique Innovation Center for Regional Wheat Production, Key Laboratory of Crop Ecophysiology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - M Huang
- National Technique Innovation Center for Regional Wheat Production, Key Laboratory of Crop Ecophysiology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - J Cai
- National Technique Innovation Center for Regional Wheat Production, Key Laboratory of Crop Ecophysiology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Q Zhou
- National Technique Innovation Center for Regional Wheat Production, Key Laboratory of Crop Ecophysiology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - T Dai
- National Technique Innovation Center for Regional Wheat Production, Key Laboratory of Crop Ecophysiology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - D Jiang
- National Technique Innovation Center for Regional Wheat Production, Key Laboratory of Crop Ecophysiology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
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Shen X, Bai X, Luo C, Jiang D, Li X, Zhang X, Tian Y, Huang Y. Quantitative proteomic analysis of chicken serum reveals key proteins affecting follicle development during reproductive phase transitions. Poult Sci 2020; 100:325-333. [PMID: 33357697 PMCID: PMC7772657 DOI: 10.1016/j.psj.2020.09.058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 09/11/2020] [Accepted: 09/24/2020] [Indexed: 12/14/2022] Open
Abstract
Avian reproductive behavior is regulated through the neuroendocrine system. The transition from laying to brooding is strictly controlled by the hypothalamus-pituitary-gonadal (HPG) axis. Cross talk on the HPG axis relies on the circulatory system, where the dynamics of serum proteins can be observed during different reproductive phases. Some canonical hormones, such as prolactin and luteinizing hormone, play important roles in the transition through reproductive phases. However, little is known at the whole-proteome level. To discover novel serum proteins, we employed isobaric tags for relative and absolute quantification to assay the serum proteome during different reproductive phases in chicken. We identified a total of 1,235 proteins from chicken serum; 239 of these proteins showed differential expression between the laying and brooding stages, including a low concentration of steroid metabolism-related proteins and a high concentration of calcium signaling-related proteins (fold change ≥1.5 or ≤0.66; P < 0.05). Pathway analysis and protein–protein interaction networks predicated the difference in follicle development between the brooding stage and laying stages and were related to the 14-3-3 protein family, which is associated with oocyte meiosis and maturation. Together, these results provided a proteomics foundation for investigating the dynamic changes taking place in the circulatory system during reproductive phase transition, and also uncovered new insights regarding follicle development that underlie the avian reproductive cycle.
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Affiliation(s)
- Xu Shen
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China
| | - Xue Bai
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chenlong Luo
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Danli Jiang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China
| | - Xiujin Li
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China
| | - Xumeng Zhang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China
| | - Yunbo Tian
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China
| | - Yunmao Huang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China.
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