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Article: [Research progress of combination therapy in the treatment of erectile dysfunction and premature ejaculation comorbidity].

Peng, Jing / Zhang, Zhi-Chao

Zhonghua nan ke xue = National journal of andrology

2024 Volume 29, Issue 9, Page(s) 771–775

Abstract: There is a close relationship between male erectile dysfunction (ED) and premature ejaculation (PE) on the pathogenesis, leading a high comorbidity rate and a need of simultaneous treatment in clinical practice. Phosphodiesterase 5 inhibitors (PDE5i) and ...

Abstract	There is a close relationship between male erectile dysfunction (ED) and premature ejaculation (PE) on the pathogenesis, leading a high comorbidity rate and a need of simultaneous treatment in clinical practice. Phosphodiesterase 5 inhibitors (PDE5i) and selective serotonin reuptake inhibitor (SSRI) Dapoxetine are first-line oral drugs for ED and PE, respectively. In recent years, multi-country clinical guidelines have provided suggestions and guidance for the combination of these two drugs, with the safety and effectiveness being further explored and verified. This review summarized the status of ED and PE comorbidity, treatment principles, and research progress on the safety and effectiveness of Dapoxetine combined with PDE5i, in order to provide reference for the combination therapy of ED and PE comorbidity.
MeSH term(s)	Male ; Humans ; Premature Ejaculation/drug therapy ; Erectile Dysfunction/drug therapy ; Ejaculation ; Benzylamines/therapeutic use ; Phosphodiesterase 5 Inhibitors/therapeutic use ; Comorbidity ; Treatment Outcome ; Naphthalenes
Chemical Substances	dapoxetine (GB2433A4M3) ; Benzylamines ; Phosphodiesterase 5 Inhibitors ; Naphthalenes
Language	Chinese
Publishing date	2024-04-19
Publishing country	China
Document type	Review ; English Abstract ; Journal Article
ZDB-ID	2267480-9
ISSN	1009-3591
ISSN	1009-3591
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Article ; Online: Assessing the Function of CBF1 in Modulating the Interaction Between Phytochrome B and PIF4.

Peng, Jing / Dong, Xiaojing / Yang, Shuhua / Li, Jigang

Methods in molecular biology (Clifton, N.J.)

2024 Volume 2795, Page(s) 183–194

Abstract: Phytochromes are red (R) and far-red (FR) light photoreceptors in plants. Upon light exposure, photoactivated phytochromes translocate into the nucleus, where they interact with their partner proteins to transduce light signals. The yeast two-hybrid (Y2H) ...

Abstract	Phytochromes are red (R) and far-red (FR) light photoreceptors in plants. Upon light exposure, photoactivated phytochromes translocate into the nucleus, where they interact with their partner proteins to transduce light signals. The yeast two-hybrid (Y2H) system is a powerful technique for rapidly identifying and verifying protein-protein interactions, and PHYTOCHROME-INTERACTING FACTOR3 (PIF3), the founding member of the PIF proteins, was initially identified in a Y2H screen for phytochrome B (phyB)-interacting proteins. Recently, we developed a yeast three-hybrid (Y3H) system by introducing an additional vector into this Y2H system, and thus a new regulator could be co-expressed and its role in modulating the interactions between phytochromes and their signaling partners could be examined. By employing this Y3H system, we recently showed that both MYB30 and CBF1, two negative regulators of seedlings photomorphogenesis, act to inhibit the interactions between phyB and PIF4/PIF5. In this chapter, we will use the CBF1-phyB-PIF4 module as an example and describe the detailed procedure for performing this Y3H assay. It will be intriguing and exciting to explore the potential usage of this Y3H system in future research.
MeSH term(s)	Phytochrome B/genetics ; Phytochrome B/metabolism ; Arabidopsis Proteins/genetics ; Arabidopsis Proteins/metabolism ; Arabidopsis/genetics ; Arabidopsis/metabolism ; Basic Helix-Loop-Helix Transcription Factors/genetics ; Basic Helix-Loop-Helix Transcription Factors/metabolism ; Saccharomyces cerevisiae/metabolism ; Light ; Phytochrome/genetics ; Phytochrome/metabolism ; Gene Expression Regulation, Plant ; Transcription Factors/genetics ; Transcription Factors/metabolism ; Trans-Activators/metabolism ; Saccharomyces cerevisiae Proteins/metabolism ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors
Chemical Substances	Phytochrome B (136250-22-1) ; Arabidopsis Proteins ; Basic Helix-Loop-Helix Transcription Factors ; Phytochrome (11121-56-5) ; MYB30 protein, Arabidopsis ; Transcription Factors ; CBF1 protein, Arabidopsis ; Trans-Activators ; PIF4 protein, Arabidopsis ; CBF1 protein, S cerevisiae ; Saccharomyces cerevisiae Proteins ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors
Language	English
Publishing date	2024-04-09
Publishing country	United States
Document type	Journal Article
ISSN	1940-6029
ISSN (online)	1940-6029
DOI	10.1007/978-1-0716-3814-9_18
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Article: Lamotrigine-Induced Hemophagocytic Lymphohistiocytosis with DRESS.

Wang, Hong / Peng, Jing / Zeng, Wenbin / Pan, Xueyi

Clinical laboratory

2024 Volume 70, Issue 2

Abstract: Background: Hemophagocytic lymphohistiocytosis (HLH) is a severe inflammatory reaction syndrome caused by genetic or acquired immune dysregulation. The majority of adult HLH cases are caused by tumors, rheumatic immune disorders, and infections. However, ...

Abstract	Background: Hemophagocytic lymphohistiocytosis (HLH) is a severe inflammatory reaction syndrome caused by genetic or acquired immune dysregulation. The majority of adult HLH cases are caused by tumors, rheumatic immune disorders, and infections. However, drug-induced HLH is rarely reported. Methods: We report a case of HLH in an adult caused by the administration of lamotrigine, to our knowledge, only nine other cases of lamotrigine-associated HLH have been reported in adult patients. Results: After discontinuing lamotrigine and using steroid hormones for the HLH, the patient's condition has been brought under control. Conclusions: This case confirms that dexamethasone is also effective for drug-induced HLH. Usually, after discontinuing the relevant medications, there is no need for further maintenance treatment.
MeSH term(s)	Adult ; Humans ; Lamotrigine/adverse effects ; Lymphohistiocytosis, Hemophagocytic/chemically induced ; Lymphohistiocytosis, Hemophagocytic/diagnosis ; Lymphohistiocytosis, Hemophagocytic/drug therapy ; Anticonvulsants/adverse effects ; Rheumatic Diseases ; Syndrome
Chemical Substances	Lamotrigine (U3H27498KS) ; Anticonvulsants
Language	English
Publishing date	2024-02-12
Publishing country	Germany
Document type	Case Reports
ZDB-ID	1307629-2
ISSN	1433-6510 ; 0941-2131
ISSN	1433-6510 ; 0941-2131
DOI	10.7754/Clin.Lab.2023.230730
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Article ; Online: Roles of KCNA2 in Neurological Diseases: from Physiology to Pathology.

Xie, Changning / Kessi, Miriam / Yin, Fei / Peng, Jing

Molecular neurobiology

2024

Abstract: Potassium voltage-gated channel subfamily a member 2 (Kv1.2, encoded by KCNA2) is highly expressed in the central and peripheral nervous systems. Based on the patch clamp studies, gain-of function (GOF), loss-of-function (LOF), and a mixed type (GOF/LOF) ...

Abstract	Potassium voltage-gated channel subfamily a member 2 (Kv1.2, encoded by KCNA2) is highly expressed in the central and peripheral nervous systems. Based on the patch clamp studies, gain-of function (GOF), loss-of-function (LOF), and a mixed type (GOF/LOF) variants can cause different conditions/disorders. KCNA2-related neurological diseases include epilepsy, intellectual disability (ID), attention deficit/hyperactive disorder (ADHD), autism spectrum disorder (ASD), pain as well as autoimmune and movement disorders. Currently, the molecular mechanisms for the reported variants in causing diverse disorders are unknown. Consequently, this review brings up to date the related information regarding the structure and function of Kv1.2 channel, expression patterns, neuronal localizations, and tetramerization as well as important cell and animal models. In addition, it provides updates on human genetic variants, genotype-phenotype correlations especially highlighting the deep insight into clinical prognosis of KCNA2-related developmental and epileptic encephalopathy, mechanisms, and the potential treatment targets for all KCNA2-related neurological disorders.
Language	English
Publishing date	2024-03-22
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	645020-9
ISSN	1559-1182 ; 0893-7648
ISSN (online)	1559-1182
ISSN	0893-7648
DOI	10.1007/s12035-024-04120-9
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Article ; Online: Tensor improve equivariant graph neural network for molecular dynamics prediction.

Jiang, Chi / Zhang, Yi / Liu, Yang / Peng, Jing

Computational biology and chemistry

2024 Volume 110, Page(s) 108053

Abstract: Molecular dynamics(MD) simulations are essential for molecular structure optimization, drug-drug interactions, and other fields of drug discovery by simulating the motion of microscopic particles to calculate their macroscopic properties (e.g., energy). ... ...

Abstract	Molecular dynamics(MD) simulations are essential for molecular structure optimization, drug-drug interactions, and other fields of drug discovery by simulating the motion of microscopic particles to calculate their macroscopic properties (e.g., energy). The main problems of the existing work are as follows: (1) Failure to fully consider the chemical bonding constraints between atoms, (2) Group equivariance can help achieve robust and accurate predictions of MD under arbitrary reference transformations and should be incorporated into the model design, (3) Tensor information such as relative position, velocity, and torsion angle can be used to enhance the prediction of molecular dynamics. And the existing methods are mainly limited to the scalar domain. In this paper, we propose a new model-tensor improve equivariant graph neural network for molecular dynamics prediction (TEGNN): (1) The model materialization of chemical bond constraints between atoms into geometric constraints. The molecule's forward kinematic information (position and velocity) is represented by generalized coordinates. In this way, the interatomic chemical bonding constraints are implicitly and naturally encoded in the forward kinematics, (2) The equivariant information transfer is allowed in TEGNN, which significantly improves the accuracy and computational efficiency of the final prediction, (3) TEGNN introduces equivariant locally complete frames into scalar-only equivariant graph neural networks, thus allowing the projection of tensor information of a given order onto the frame. On the N-body dataset of simulated molecular systems consisting of particles, sticks, and hinges, as well as on the real dataset MD17 for molecular dynamics prediction, multiple experiments support that TEGNN is ahead of the current state-of-the-art GNN in terms of prediction accuracy, constraint satisfaction, and data efficiency. We extend the current state-of-the-art equivariant neural network model. The proposed TEGNN accommodates more tensor information and considers the chemical bonding constraints between atoms during motion, ultimately improving the performance of predicting the kinematic states of molecules.
Language	English
Publishing date	2024-03-15
Publishing country	England
Document type	Journal Article
ISSN	1476-928X
ISSN (online)	1476-928X
DOI	10.1016/j.compbiolchem.2024.108053
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Article ; Online: Research on the Development Mechanism of In-situ Urbanization Driven by Industry--Evidence from 87 cities in central China

Peng Jing / Liu Yanhong / Hong Qun

E3S Web of Conferences, Vol 372, p

2023 Volume 01007

Abstract: Some problems caused by traditional urbanization are becoming prominent. Compared with traditional urbanization, the rural population does not migrate to large and medium-sized cities in the process of in-situ urbanization. Rural residents realized the ... ...

Abstract	Some problems caused by traditional urbanization are becoming prominent. Compared with traditional urbanization, the rural population does not migrate to large and medium-sized cities in the process of in-situ urbanization. Rural residents realized the transition from traditional to modern production and lifestyle in their native land, which avoids the problems of ‘rural diseases’ and ‘urban diseases’ in the process of traditional urbanization. This study explores the influence mechanism of three industries on in-situ urbanization through the System Generalized Method of Moments and Ordinary Least Square. We found that (1) The simple development of agriculture does not directly promote in-situ urbanization. The process of agriculture driving in-situ urbanization needs to separate some non-agricultural industries from agriculture, which could accelerate the in-situ transfer of rural labor force for non-agricultural employment. (2) The secondary industry plays a significant direct role in driving the in-situ urbanization. Simultaneously, it is conducive to promoting the in-situ urbanization under the joint action of industry and agriculture. (3) The influence of the tertiary industry on in-situ urbanization is mainly reflected in the rural service industry and rural tourism. Through the combined development of agriculture, service industry and tourism, rural residents could achieve local non-agricultural employment and civic lives.
Keywords	Environmental sciences ; GE1-350
Subject code	910
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Mobile Phone Data Feature Denoising for Expressway Traffic State Estimation

Linlin Wu / Guangming Shou / Zaichun Xie / Peng Jing

Sustainability, Vol 15, Iss 5811, p

2023 Volume 5811

Abstract: Due to their wide coverage, low acquisition cost and large data quantity, the mobile phone signaling data are suitable for fine-grained and large-scale estimation of traffic conditions. However, the relatively high level of data noise makes it difficult ... ...

Abstract	Due to their wide coverage, low acquisition cost and large data quantity, the mobile phone signaling data are suitable for fine-grained and large-scale estimation of traffic conditions. However, the relatively high level of data noise makes it difficult for the estimation to achieve sufficient accuracy. According to the characteristics of mobile phone data noise, this paper proposed an improved density peak clustering algorithm (DPCA) to filter data noise. In addition, on the basis of the long short-term memory model (LSTM), a traffic state estimation model based on mobile phone feature data was established with the use of denoising data to realize the estimation of the expressway traffic state with high precision, fine granules, and wide coverage. The Shanghai–Nanjing Expressway was used as a case study area for method and model verification, the results of which showed that the denoising method proposed in this paper can effectively filter data noise, reduce the impact of extreme noise data, significantly improve the estimation accuracy of the traffic state, and reflect the actual traffic situation in a fairly satisfactory manner.
Keywords	density peak clustering ; mobile phone signaling data ; data denoising ; traffic state estimation ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	310
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Upregulation of lncRNA LANCL1-AS1 inhibits the progression of non-small-cell lung cancer via the miR-3680-3p/GMFG axis

Pan Hui / Peng Jing / Qiao Xiaoni / Gao Han

Open Medicine, Vol 18, Iss 1, Pp 624-

2023 Volume 33

Abstract: Patients with non-small-cell lung cancer (NSCLC) have a low survival rate. Long non-coding RNA (LncRNA) LANCL1 antisense RNA 1 (LANCL1-AS1) was indicated to be downregulated in NSCLC; however, its detailed function in NSCLC is unanswered. Real-time ... ...

Abstract	Patients with non-small-cell lung cancer (NSCLC) have a low survival rate. Long non-coding RNA (LncRNA) LANCL1 antisense RNA 1 (LANCL1-AS1) was indicated to be downregulated in NSCLC; however, its detailed function in NSCLC is unanswered. Real-time quantitative polymerase chain reaction revealed the downregulation of LANCL1-AS1 in NSCLC cell lines and subcellular fractionation assay showed that LANCL1-AS1 was mainly located in the cytoplasm of NSCLC cells. Cell counting kit-8, Transwell, and tube formation assays displayed that overexpression of LANCL1-AS1 suppressed NSCLC cell proliferation, migration, invasiveness, and angiogenesis in vitro. Animal experiments validated the tumor-suppressive role of LANCL1-AS1 in tumor-bearing mice. Mechanistically, LANCL1-AS1 upregulated glia maturation factor gamma (GMFG) expression by competitively binding to miR-3680-3p. GMFG knockdown reversed LANCL1-AS1 overexpression-mediated inhibitory impact on NSCLC malignant behaviors. Collectively, LANCL1-AS1 upregulation inhibits the progression of NSCLC by modulating the miR-3680-3p/GMFG axis.
Keywords	non-small-cell lung cancer ; lancl1-as1 ; mir-3680-3p ; gmfg ; Medicine ; R
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	De Gruyter
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Combining SEM, fsQCA and BNs to Explore E-Bike Riders’ Helmet Wearing Intentions under the Impact of Mandatory Policies

Bichen Wang / Peng Jing / Chengxi Jiang

Sustainability, Vol 15, Iss 24, p

An Empirical Study in Zhenjiang

2023 Volume 16704

Abstract: China has become the largest country for e-bikes in the past decade, leading to a surge in road-related accidents. Chinese provinces and cities have successfully formulated local regulations, which set fines for not wearing helmets levying on e-bike ... ...

Abstract	China has become the largest country for e-bikes in the past decade, leading to a surge in road-related accidents. Chinese provinces and cities have successfully formulated local regulations, which set fines for not wearing helmets levying on e-bike riders. Without considering psychological resistance which is universal under the premise of compulsory legislation, the legislation and enforcement activities cannot continuously promote electric bikers’ helmet use. This study aims to investigate the predictors that influence e-bike riders’ intention to wear helmets by designing a research methodology that incorporates the theory of planned behavior (TPB), the protection motivation theory (PMT), and the psychological reactance theory (PRT). A multi-method analytical approach, including structural equation modeling (SEM), fuzzy-set qualitative comparative analysis (fsQCA), and a Bayesian Network (BN) with a sample dataset of 846 respondents. SEM and fsQCA explored the intentions to wear helmets from linear and nonlinear perspectives. BN verifies the degree of influence between different configurations resulting from fsQCA, to predict which mental configurations could get the most significant impact on helmet use. A total of 11 configurations lead to high helmet-wearing intention, and 4 lead to low helmet-wearing intention. Policymakers could design safety policies on our research, such as driving licenses and special lectures for e-bike riders.
Keywords	e-bike helmet wearing ; public psychological resistance ; multi-method analytical approach ; fuzzy-set qualitative comparative analysis ; Bayesian network ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	380
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The prognostic factors of Ewing sarcoma/peripheral primitive neuroectodermal tumor: A retrospective analysis of 67 patients at a single center.

Peng, Jing / Han, Xing Min

Medicine

2022 Volume 101, Issue 29, Page(s) e29564

Abstract: To investigate the characteristics and factors that impact the prognosis of Ewing sarcoma/peripheral primitive neuroectodermal tumor (ES/pPNET) patients. We retrospectively analyzed ES/pPNET patients diagnosed at our hospital from January 2011 to ... ...

Abstract	To investigate the characteristics and factors that impact the prognosis of Ewing sarcoma/peripheral primitive neuroectodermal tumor (ES/pPNET) patients. We retrospectively analyzed ES/pPNET patients diagnosed at our hospital from January 2011 to December 2020. We used 1-way analysis of variance to investigate whether the age differences between different subgroups were statistically significant and used the Kaplan-Meier method and Cox regression model for the survival analysis. Of the 67 included patients, 13 had central nervous system PNET, and 54 had ES/pPNET. The median survival time of the 54 ES/pPNET patients was 18 months; the 1-year, 3-year and 5-year progression-free survival rates were 37.0% and 9.3% and 1.9%, respectively; and the 1-year, 3-year and 5-year overall survival (OS) rates were 66.7%, 27.8%, and 7.4%, respectively. The 1-way analysis of variance results showed no statistically significant age difference between the different subgroups (P = .127 between the central nervous system PNET and ES/pPNET groups, P = .764 between different subgroups within the ES/pPNET group). The univariate survival analysis showed that metastasis at diagnosis and the treatment method were independent factors affecting the OS rate of ES/pPNET patient (P = .003 and 0.000, respectively). The multivariate survival analysis also showed that the treatment method and metastasis at diagnosis were related factors affecting OS (P = .025 and 0.001, respectively). The prognosis of patients with primitive neuroectodermal tumors is poor. The treatment method and metastasis at the time of diagnosis influences ES/pPNET patient survival time, but there is no significant tumor site-dependent correlation with patient age or sex.
MeSH term(s)	Humans ; Neoplasms, Germ Cell and Embryonal ; Neuroectodermal Tumors, Primitive/therapy ; Neuroectodermal Tumors, Primitive, Peripheral ; Prognosis ; Retrospective Studies ; Sarcoma, Ewing/pathology
Language	English
Publishing date	2022-07-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000029564
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