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Article ; Online: Genetically determined telomere length as a risk factor for hematological malignancies: evidence from Mendelian randomization analysis.

Fang, Tian / Zhang, Zhihao / Ren, Kexing / Zou, Liqun

Aging

2024 Volume 16, Issue 5, Page(s) 4684–4698

Abstract: Background: Over the past years, the exact correlation between telomere length and hematological malignancies was still not fully understood.: Methods: We performed a two-sample Mendelian randomization study to investigate the causal relationship ... ...

Abstract	Background: Over the past years, the exact correlation between telomere length and hematological malignancies was still not fully understood. Methods: We performed a two-sample Mendelian randomization study to investigate the causal relationship between telomere length and hematological malignancies. We selected genetic instruments associated with telomere length. The genetic associations for lymphoid and hematopoietic malignant neoplasms were obtained from the most recent publicly accessible FinnGen study R9 data. Inverse variant weighted (IVW) analysis was adopted as the primary method, and we also performed the weighted-median method and the MR-Egger, and MRPRESSO methods as sensitive analysis. Results: Significant associations have been observed between telomere length and primary lymphoid (IVW: OR = 1.52, Conclusion: This MR study found a significant association between telomere length and a wide range of hematopoietic malignancies. But no substantial impact of lymphoma and hematopoietic malignancies on telomere length has been detected.
MeSH term(s)	Humans ; Mendelian Randomization Analysis ; Hematologic Neoplasms/genetics ; Risk Factors ; Hodgkin Disease ; Telomere/genetics ; Genome-Wide Association Study
Language	English
Publishing date	2024-03-06
Publishing country	United States
Document type	Journal Article
ISSN	1945-4589
ISSN (online)	1945-4589
DOI	10.18632/aging.205625
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Integrated pest management and plant health

Xue-ping ZHOU / Fang TIAN

Journal of Integrative Agriculture, Vol 21, Iss 12, Pp 3417-

2022 Volume 3419

Keywords	Agriculture (General) ; S1-972
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Cooperation, hotspots and prospects for tourism environmental impact assessments

Yunlai Zhang / Lixin Wang / Yaomin Zheng / Fang Tian

Heliyon, Vol 9, Iss 6, Pp e17109- (2023)

2023

Abstract: This study aims to identify hot spots, research limitations and future research directions in tourism environmental impact assessment (TEIA). We analyzed studies from the core database of Web of Science (WoS) based on their coauthorship, keyword co- ... ...

Abstract	This study aims to identify hot spots, research limitations and future research directions in tourism environmental impact assessment (TEIA). We analyzed studies from the core database of Web of Science (WoS) based on their coauthorship, keyword co-occurrence and timeline with VOSviewer and CiteSpace. It was found that China, the United States, the United Kingdom, Australia and Spain are the major contributors to TEIA, and relatively stable cooperative groups have been formed among the authors. Research hotspots in the past 20 years mainly include: the impact of tourism activities in different tourist destinations on the environment, the approaches to assess the impact of tourism on the environment, and strategies on reducing the negative impact of tourism on the environment. We also found TEIA deficiency in the following five aspects: 1) insufficient studies on macro decision-making; 2) insufficient dynamic interaction analysis; 3) insufficient tourism heat footprint research; 4) insufficient studies on the positive effects of tourism on the environment; and 5) insufficient interdisciplinary innovation. Based on the findings, we suggest that 1) further studies be conducted on tourism activity type, time scale, macro pattern, environmental process and policy effect of tourism impact assessment with more variables and factors considered; 2) the impact of different types of tourism on each subsystem of the environment and the paths of the interaction among subsystems be explored from the perspective of system governance; 3) the study of thermal footprint generated by tourism activities be given more attention, especially large-scale tourism activities; 4) the positive impact of tourism activities on the ecological environment be studied, especially ecotourism; 5) the applicability of TEIA evaluation results be increased by means of interdisciplinary methods such as big data analysis.
Keywords	Tourism environmental impact assessment ; Types of tourism activities ; Research hotspots ; Research methods ; System governance ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	910
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Sheep Face Recognition Model Based on Deep Learning and Bilinear Feature Fusion

Zhuang Wan / Fang Tian / Cheng Zhang

Animals, Vol 13, Iss 1957, p

2023 Volume 1957

Abstract: A key prerequisite for the establishment of digitalized sheep farms and precision animal husbandry is the accurate identification of each sheep’s identity. Due to the uncertainty in recognizing sheep faces, the differences in sheep posture and shooting ... ...

Abstract	A key prerequisite for the establishment of digitalized sheep farms and precision animal husbandry is the accurate identification of each sheep’s identity. Due to the uncertainty in recognizing sheep faces, the differences in sheep posture and shooting angle in the recognition process have an impact on the recognition accuracy. In this study, we propose a deep learning model based on the RepVGG algorithm and bilinear feature extraction and fusion for the recognition of sheep faces. The model training and testing datasets consist of photos of sheep faces at different distances and angles. We first design a feature extraction channel with an attention mechanism and RepVGG blocks. The RepVGG block reparameterization mechanism is used to achieve lossless compression of the model, thus improving its recognition efficiency. Second, two feature extraction channels are used to form a bilinear feature extraction network, which extracts important features for different poses and angles of the sheep face. Finally, features at the same scale from different images are fused to enhance the feature information, improving the recognition ability and robustness of the network. The test results demonstrate that the proposed model can effectively reduce the effect of sheep face pose on the recognition accuracy, with recognition rates reaching 95.95%, 97.64%, and 99.43% for the sheep side-, front-, and full-face datasets, respectively, outperforming several state-of-the-art sheep face recognition models.
Keywords	sheep face recognition ; deep learning ; feature fusion ; RepVGG ; Veterinary medicine ; SF600-1100 ; Zoology ; QL1-991
Subject code	006
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Multi-omics Mendelian randomization integrating GWAS, eQTL, and mQTL data identified genes associated with breast cancer.

Zhang, Zhihao / Fang, Tian / Chen, Lanlan / Ji, Fuqing / Chen, Jie

American journal of cancer research

2024 Volume 14, Issue 3, Page(s) 1433–1445

Abstract: Breast cancer (BC) remains a major disease posing a threat to women's health, but the underlying biological interpretation remains largely unknown. Here, we aimed to identify genes associated with breast cancer and analyze their pathophysiological ... ...

Abstract	Breast cancer (BC) remains a major disease posing a threat to women's health, but the underlying biological interpretation remains largely unknown. Here, we aimed to identify genes associated with breast cancer and analyze their pathophysiological mechanisms based on multi-omics Mendelian randomization (MR). Summary-data-based MR (SMR) was performed to estimate the causal effects of blood and breast mammary tissue expression quantitative trait loci (eQTLs) on BC. External validation analysis was used to validate the identified genes. Integration analyses BC GWAS summaries with eQTLs and DNA methylation QTLs (mQTLs) from the blood were conducted using SMR to prioritize putative blood genes and their regulatory elements associated with BC risk. Finally, two prior genes (ATG10 and RCCD1) from blood tissue reached significant levels in both BCAC (ATG10: OR
Language	English
Publishing date	2024-03-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2589522-9
ISSN	2156-6976
ISSN	2156-6976
DOI	10.62347/BCZW1355
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Identification of a Novel Model for Predicting the Prognosis and Immune Response Based on Genes Related to Cuproptosis and Ferroptosis in Ovarian Cancer.

Li, Ying / Fang, Tian / Shan, Wanying / Gao, Qinglei

Cancers

2023 Volume 15, Issue 3

Abstract: 1) Background: Ovarian cancer (OV) presents a high degree of malignancy and a poor prognosis. Cell death is necessary to maintain tissue function and morphology. Cuproptosis and ferroptosis are two novel forms of death, and we look forward to finding ... ...

Abstract	(1) Background: Ovarian cancer (OV) presents a high degree of malignancy and a poor prognosis. Cell death is necessary to maintain tissue function and morphology. Cuproptosis and ferroptosis are two novel forms of death, and we look forward to finding their relationship with OV and providing guidance for treatment. (2) Methods: We derived information about OV from public databases. Based on cuproptosis-related and ferroptosis-related genes, a risk model was successfully constructed, and exceptional subtypes were identified. Next, various methods are applied to assess prognostic value and treatment sensitivity. Besides, the comprehensive analysis of the tumor environment, together with immune cell infiltration, immune function status, immune checkpoint, and human HLA genes, is expected to grant assistance for the prognosis and treatment of OV. (3) Results: Specific molecular subtypes and models possessed excellent potential to predict prognosis. Immune infiltration abundance varied between groups. The susceptibility of individuals to different chemotherapy drugs and immunotherapies could be predicted based on specific groups. (4) Conclusions: Our molecular subtypes and risk model, with strong immune prediction and prognostic prediction capabilities, are committed to guiding ovarian cancer treatment.
Language	English
Publishing date	2023-01-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527080-1
ISSN	2072-6694
ISSN	2072-6694
DOI	10.3390/cancers15030579
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Article ; Online: Commodity Search Based on the Hybrid Breadth-Depth Algorithm in the Crowd Intelligence Based Transaction Network

Zhishuo Liu / Yinan Cheng / Fang Tian

International Journal of Crowd Science, Vol 6, Iss 4, Pp 167-

2022 Volume 177

Abstract: Crowd intelligence based transaction network (CIbTN) is a new generation of e-commerce. In a CIbTN, buyers, sellers, and other institutions are all independent and intelligent agents. Each agent stores the commodity information in a local node. The ... ...

Abstract	Crowd intelligence based transaction network (CIbTN) is a new generation of e-commerce. In a CIbTN, buyers, sellers, and other institutions are all independent and intelligent agents. Each agent stores the commodity information in a local node. The agents interconnect through a circle of friends and construct an unstructured network. To conduct the commodity search task in a network more efficiently and in an energy-saving manner when a buyer presents a commodity demand, a hybrid breadth-depth search algorithm (HBDA) is proposed, which combines the search logic of the breadth-first search algorithm and the depth-first search algorithm. We defined the correlation degree of nodes in a network, optimized the rules of search and forwarding paths using the correlation degree between a node and its neighboring nodes in the circle of friends, and realized the HBDA based on the PeerSim simulation tool and Java. Experimental results show that, in general, the proposed HBDA has a better search success rate, search time, commodity matching degree, and search network consumption over the two blind search algorithms. The HBDA also has good expansibility, thus allowing it to be used for commodity search efficiently with a high success rate in large-scale networks.
Keywords	crowd science ; e-commerce ; crowd intelligence based transaction network ; unstructured network ; commodity search ; search algorithm ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040
Subject code	006
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	Tsinghua University Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Interdomain Linker Effect on the Mechanical Stability of Ig Domains in Titin

Bei Tong / Fang Tian / Peng Zheng

International Journal of Molecular Sciences, Vol 23, Iss 9836, p

2022 Volume 9836

Abstract: Titin is the largest protein in humans, composed of more than one hundred immunoglobulin (Ig) domains, and plays a critical role in muscle’s passive elasticity. Thus, the molecular design of this giant polyprotein is responsible for its mechanical ... ...

Abstract	Titin is the largest protein in humans, composed of more than one hundred immunoglobulin (Ig) domains, and plays a critical role in muscle’s passive elasticity. Thus, the molecular design of this giant polyprotein is responsible for its mechanical function. Interestingly, most of these Ig domains are connected directly with very few interdomain residues/linker, which suggests such a design is necessary for its mechanical stability. To understand this design, we chose six representative Ig domains in titin and added nine glycine residues (9G) as an artificial interdomain linker between these Ig domains. We measured their mechanical stabilities using atomic force microscopy-based single-molecule force spectroscopy (AFM-SMFS) and compared them to the natural sequence. The AFM results showed that the linker affected the mechanical stability of Ig domains. The linker mostly reduces its mechanical stability to a moderate extent, but the opposite situation can happen. Thus, this effect is very complex and may depend on each particular domain’s property.
Keywords	titin ; force spectroscopy ; interdomain linker ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: STUDY OF SPECTROPHOTOMETRIC CHARACTERISTICS OF THE CHARGE TRANSFER COMPLEX OF TAURINE DRUG WITH 7,7,8,8-TETRACYANOQUINODIMETHANE

Fang Tian / Sheng Yun Li

Química Nova, Vol 43, Iss 9, Pp 1205-

2020 Volume 1209

Abstract: A new spectrophotometric method was developed for the determination of taurine using 7,7,8,8-tetracyanoquinodimethane (TCNQ). The method was based on the formation of charge transfer (CT) complex of this drug as n-electron donor with the π-acceptor TCNQ. ...

Abstract	A new spectrophotometric method was developed for the determination of taurine using 7,7,8,8-tetracyanoquinodimethane (TCNQ). The method was based on the formation of charge transfer (CT) complex of this drug as n-electron donor with the π-acceptor TCNQ. TCNQ was found to react with taurine to produce a kind of yellow complex. The spectrum obtained for taurine/TCNQ system showed the maximum absorption band at a wavelength of 420 nm. The formation of such complex was also confirmed by both infrared and 1H NMR measurements. Different variables affecting the reaction were studies and optimized. Beer’s law was obeyed in a concentration limit of 1~9 µg mL-1 for taurine. R.S.D. was less than 1.5%, and average recovery was over 100.3%. The stoichiometry of the complex was found to be 1:1 ratio by Job’s and straight line methods between the donor and the acceptor. The thermodynamic standard reaction quantities of the complex between the donor and the acceptor were estimated. The developed method could be applied successfully for the determination of the studied compound in the pharmaceutical dosage form with a good precision and accuracy compared to official and reported method as revealed by t- and F-tests.
Keywords	taurine ; 7,7,8,8-tetracyanoquinodimethane (TCNQ) ; charge transfer (CT) complex ; spectrophotometry ; Chemistry ; QD1-999
Subject code	540
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	Sociedade Brasileira de Química
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies.

Fang, Tian / Zhang, Zhihao / Zhou, Huijie / Wu, Wanchun / Zou, Liqun

Frontiers in neuroinformatics

2023 Volume 17, Page(s) 1154916

Abstract: Background: Several observational studies have explored the relationships between multiple sclerosis (MS) and breast cancer; however, whether an association exists remains unknown.: Methods: We conducted a meta-analysis of observational studies and ... ...

Abstract	Background: Several observational studies have explored the relationships between multiple sclerosis (MS) and breast cancer; however, whether an association exists remains unknown. Methods: We conducted a meta-analysis of observational studies and Mendelian randomization (MR) based on genetic variants to identify the relationship between MS and breast cancer. The observational studies were searched from PubMed, Embase, Web of Science, and Scopus to assess the relationship between MS and breast cancer from inception to 07 Nov 2022. Moreover, we explored the association between genetically pre-disposed MS and breast cancer risk based on an MR study. The summary analysis for MS from two separate databases [International Multiple Sclerosis Genetics Consortium (IMSGC), FinnGen] and the summary analysis for breast cancer from Breast Cancer Association Consortium. Results: Fifteen cohort studies involving 173,565 female MS patients were included in this meta-analysis. The correlation between MS and breast cancer was not statistically significant [relative ratio (RR) = 1.08, 95% confidence interval (CI) = 0.99-1.17]. In the MR analysis, we did not observe causal associations of genetically determined MS with breast cancer and its subtypes from both the IMSGC and FinnGen datasets. Conclusion: The meta-analysis of observational and MR based on genetic variants does not support the correlation between MS and breast cancer.
Language	English
Publishing date	2023-05-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2452979-5
ISSN	1662-5196
ISSN	1662-5196
DOI	10.3389/fninf.2023.1154916
Database	MEDical Literature Analysis and Retrieval System OnLINE

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