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Book ; Online ; E-Book: Principles of primary total hip arthroplasty

Zhou, Yixin / Tang, Jing / Shao, Hongyi

2022

Author's details	edited by Yixin Zhou, Jing Tang, Hongyi Shao
Keywords	Artificial hip joints
Subject code	060
Language	English
Size	1 online resource (184 pages)
Publisher	Springer
Publishing place	Singapore
Document type	Book ; Online ; E-Book
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
ISBN	981-19-3606-4 ; 9789811936050 ; 978-981-19-3606-7 ; 9811936056
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: FRAGSITE2: A structure and fragment-based approach for virtual ligand screening.

Zhou, Hongyi / Skolnick, Jeffrey

Protein science : a publication of the Protein Society

2023 Volume 33, Issue 1, Page(s) e4869

Abstract: Protein function annotation and drug discovery often involve finding small molecule binders. In the early stages of drug discovery, virtual ligand screening (VLS) is frequently applied to identify possible hits before experimental testing. While our ... ...

Abstract	Protein function annotation and drug discovery often involve finding small molecule binders. In the early stages of drug discovery, virtual ligand screening (VLS) is frequently applied to identify possible hits before experimental testing. While our recent ligand homology modeling (LHM)-machine learning VLS method FRAGSITE outperformed approaches that combined traditional docking to generate protein-ligand poses and deep learning scoring functions to rank ligands, a more robust approach that could identify a more diverse set of binding ligands is needed. Here, we describe FRAGSITE2 that shows significant improvement on protein targets lacking known small molecule binders and no confident LHM identified template ligands when benchmarked on two commonly used VLS datasets: For both the DUD-E set and DEKOIS2.0 set and ligands having a Tanimoto coefficient (TC) < 0.7 to the template ligands, the 1% enrichment factor (EF
MeSH term(s)	Binding Sites ; Protein Conformation ; Ligands ; Proteins/chemistry ; Algorithms ; Protein Binding ; Molecular Docking Simulation
Chemical Substances	Ligands ; Proteins
Language	English
Publishing date	2023-12-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	1106283-6
ISSN	1469-896X ; 0961-8368
ISSN (online)	1469-896X
ISSN	0961-8368
DOI	10.1002/pro.4869
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Article ; Online: Management of soft tissues in patients with periprosthetic joint infection.

Shao, Hongyi / Zhou, Yixin

Arthroplasty (London, England)

2023 Volume 5, Issue 1, Page(s) 52

Abstract: Background: Appropriate soft tissue management represents a critical step in treating periprosthetic joint infection (PJI). This review discusses relevant guidelines that surgeons should follow in the management of soft tissues in PJI treatment. BODY: ... ...

Abstract	Background: Appropriate soft tissue management represents a critical step in treating periprosthetic joint infection (PJI). This review discusses relevant guidelines that surgeons should follow in the management of soft tissues in PJI treatment. BODY: It is imperative for arthroplasty surgeons to thoroughly debride and rebuild soft tissue with a good blood supply. Relevant guidelines that surgeons should follow rigorously include preoperative evaluation of soft tissue status and plan-making, adequate surgical area exposure, intraoperative removal of all necrotic and infected soft tissues, adequate coverage of soft tissue defects, timely postoperative assessment and management of soft tissues, wound management and proper rehabilitation. Conclusion: Soft tissue management plays a critical role in the treatment of PJI. To improve the infection control rate and postoperative joint function, surgeons should be familiar with these general principles and rigorously practice them in PJI management.
Language	English
Publishing date	2023-10-03
Publishing country	England
Document type	Journal Article ; Review
ISSN	2524-7948
ISSN (online)	2524-7948
DOI	10.1186/s42836-023-00205-3
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Article ; Online: Phonons of electronic crystals in two‐dimensional semiconductor moiré patterns

Hongyi Yu / Jiyong Zhou

Natural Sciences, Vol 3, Iss 3, Pp n/a-n/a (2023)

2023

Abstract: Abstract We theoretically studied the phonon properties of the triangular‐, stripe‐, and honeycomb‐type electronic crystals recently found in two‐dimensional semiconductor moiré patterns. By analyzing the phonon dispersions, we found the interaction ... ...

Abstract	Abstract We theoretically studied the phonon properties of the triangular‐, stripe‐, and honeycomb‐type electronic crystals recently found in two‐dimensional semiconductor moiré patterns. By analyzing the phonon dispersions, we found the interaction induced lattice deformation in the zigzag‐stripe crystal results in a much higher dynamical stability than in the linear‐stripe crystal. Moreover, chiral phonons with finite magnetizations and large Berry curvatures can emerge in triangular and honeycomb crystals under time‐reversal or inversion symmetry breaking. The small effective mass of the electrons allows the selective and efficient generation of chiral phonons from the optical activity of zone‐center phonons combined with the anharmonicity, facilitating the realization of the phonon Hall effect. These findings point to an exciting new platform for exploring chiral phonons and related topological phononic devices. Key points The phonons of the electronic crystals in semiconductor moiré systems are systematically analyzed, which can lead to the infrared absorption, Raman scattering, and Hall effect of chiral phonons. The small effective mass of the electrons as compared to their ionic counterparts facilitates tuning the chiral phonons through external fields, which may stimulate further studies about elementary excitations of the intriguing correlated insulators in moiré systems. Our study connects the two active research fields of strongly correlated physics and chiral phonons.
Keywords	chiral phonon ; electronic crystal ; phonon Hall effect ; Science ; Q
Subject code	539
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Wiley-VCH
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identification of an ADME-related gene for forecasting the prognosis and responding to immunotherapy in sarcomas

Jianlong Wang / Guowei Wang / Tianrui Hu / Hongyi Wang / Yong Zhou

European Journal of Medical Research, Vol 29, Iss 1, Pp 1-

2024 Volume 12

Abstract: Abstract There are more than 170 subtypes of sarcomas (SARC), which pose a challenge for diagnosis and patient management. Relatively simple or complex karyotypes play an indispensable role in the early diagnosis and effective treatment of SARC. The ... ...

Abstract	Abstract There are more than 170 subtypes of sarcomas (SARC), which pose a challenge for diagnosis and patient management. Relatively simple or complex karyotypes play an indispensable role in the early diagnosis and effective treatment of SARC. The genes related to absorption, distribution, metabolism, and excretion (ADME) of a drug can serve as prognostic biomarkers of cancer and potential drug targets. In this study, a risk score signature was created. The SARC cohort was downloaded from The Cancer Genome Atlas (TCGA) database, and divided into high-risk group and low-risk group according to the median value of risk score. Compared with high-risk group, low-risk group has a longer survival time, which is also verified in osteosarcoma cohort from Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. In addition, the relationship between the signature and immunophenotypes, including status of immune cell infiltration and immune checkpoint expression, was explored. Then, we found that high-risk group is in immunosuppressive status. Finally, we verified that PPARD played a role as a carcinogen in osteosarcoma, which provided a direction for targeted treatment of osteosarcoma in the future. Generally speaking, the signature can not only help clinicians predict the prognosis of patients with SARC, but also provide a theoretical basis for developing more effective targeted drugs in the future.
Keywords	Sarcomas ; Osteosarcoma ; ADME ; PPARD ; Immunotherapy ; Medicine ; R
Subject code	610
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Detection Rates of Mental Health Problems Among Sexual Minorities in Mainland China: A Meta-Analysis.

Lin, Hongyi / Zhou, Wenqin / Tian, Xuan / Wang, Fengyan

Journal of homosexuality

2023 Volume 71, Issue 8, Page(s) 1991–2009

Abstract: Previous studies that have addressed the growing mental health problems among sexual minorities in mainland China, but failed to inform mental health programs and public health policies with consistent detection results. To obtain robust results on ... ...

Abstract	Previous studies that have addressed the growing mental health problems among sexual minorities in mainland China, but failed to inform mental health programs and public health policies with consistent detection results. To obtain robust results on aggregate detection rates and moderators of these problems, we performed a meta-analysis of the related Chinese and English literature published before 2022. Ultimately, 305 eligible studies (n
MeSH term(s)	Humans ; China/epidemiology ; Sexual and Gender Minorities ; Male ; Mental Disorders/epidemiology ; Female ; Homosexuality, Male ; Depression/epidemiology ; Suicidal Ideation ; Mental Health
Language	English
Publishing date	2023-05-31
Publishing country	United States
Document type	Journal Article ; Meta-Analysis
ZDB-ID	193138-6
ISSN	1540-3602 ; 0091-8369
ISSN (online)	1540-3602
ISSN	0091-8369
DOI	10.1080/00918369.2023.2217678
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Article ; Online: Identification of an ADME-related gene for forecasting the prognosis and responding to immunotherapy in sarcomas.

Wang, Jianlong / Wang, Guowei / Hu, Tianrui / Wang, Hongyi / Zhou, Yong

European journal of medical research

2024 Volume 29, Issue 1, Page(s) 45

Abstract: There are more than 170 subtypes of sarcomas (SARC), which pose a challenge for diagnosis and patient management. Relatively simple or complex karyotypes play an indispensable role in the early diagnosis and effective treatment of SARC. The genes related ...

Abstract	There are more than 170 subtypes of sarcomas (SARC), which pose a challenge for diagnosis and patient management. Relatively simple or complex karyotypes play an indispensable role in the early diagnosis and effective treatment of SARC. The genes related to absorption, distribution, metabolism, and excretion (ADME) of a drug can serve as prognostic biomarkers of cancer and potential drug targets. In this study, a risk score signature was created. The SARC cohort was downloaded from The Cancer Genome Atlas (TCGA) database, and divided into high-risk group and low-risk group according to the median value of risk score. Compared with high-risk group, low-risk group has a longer survival time, which is also verified in osteosarcoma cohort from Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. In addition, the relationship between the signature and immunophenotypes, including status of immune cell infiltration and immune checkpoint expression, was explored. Then, we found that high-risk group is in immunosuppressive status. Finally, we verified that PPARD played a role as a carcinogen in osteosarcoma, which provided a direction for targeted treatment of osteosarcoma in the future. Generally speaking, the signature can not only help clinicians predict the prognosis of patients with SARC, but also provide a theoretical basis for developing more effective targeted drugs in the future.
MeSH term(s)	Humans ; Prognosis ; Sarcoma/genetics ; Sarcoma/therapy ; Osteosarcoma/genetics ; Osteosarcoma/therapy ; Immunotherapy ; Soft Tissue Neoplasms ; Bone Neoplasms
Language	English
Publishing date	2024-01-11
Publishing country	England
Document type	Journal Article
ZDB-ID	1329381-3
ISSN	2047-783X ; 0949-2321
ISSN (online)	2047-783X
ISSN	0949-2321
DOI	10.1186/s40001-023-01624-3
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Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article: Association between neutrophil-to-lymphocyte ratio and diabetic kidney disease in type 2 diabetes mellitus patients: a cross-sectional study.

Li, Xiaowan / Wang, Lanyu / Liu, Min / Zhou, Hongyi / Xu, Hongyang

Frontiers in endocrinology

2024 Volume 14, Page(s) 1285509

Abstract: Aims: This investigation examined the possibility of a relationship between neutrophil-to-lymphocyte ratio (NLR) and diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients.: Methods: Adults with T2DM who were included in the ... ...

Abstract	Aims: This investigation examined the possibility of a relationship between neutrophil-to-lymphocyte ratio (NLR) and diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients. Methods: Adults with T2DM who were included in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2020 were the subjects of the current cross-sectional investigation. Low estimated glomerular filtration rate (eGFR) (< 60 mL/min/1.73 m Results: 44.65% of the 7,153 participants who were recruited for this study were males. DKD, albuminuria, and low-eGFR were prevalent in 31.76%, 23.08%, and 14.55% of cases, respectively. Positive correlations were seen between the NLR with the prevalences of DKD, albuminuria, and low-eGFR. Subgroup analysis and interaction tests revealed that the associations of NLR with DKD, albuminuria, and low-eGFR were not significantly different across populations. In addition, MLR, SII and SIRI showed positive associations with the prevalence of DKD. ROC analysis discovered that when compared to other inflammatory markers (MLR, PLR, SII, SIRI, and AISI), NLR may demonstrate more discriminatory power and accuracy in assessing the risk of DKD, albuminuria, and low-eGFR. Conclusion: Compared to other inflammatory markers (MLR, PLR, SII, SIRI, and AISI), NLR may serve as the more effective potential inflammatory marker for identifying the risk of DKD, albuminuria, and low-eGFR in US T2DM patients. T2DM patients with elevated levels of NLR, MLR, SII, and SIRI should be closely monitored for their potential risk to renal function.
MeSH term(s)	Male ; Adult ; Humans ; Female ; Diabetic Nephropathies/etiology ; Diabetic Nephropathies/complications ; Diabetes Mellitus, Type 2/complications ; Cross-Sectional Studies ; Nutrition Surveys ; Neutrophils ; Albuminuria/etiology ; Lymphocytes ; Inflammation/complications
Language	English
Publishing date	2024-01-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2592084-4
ISSN	1664-2392
ISSN	1664-2392
DOI	10.3389/fendo.2023.1285509
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Article: Association between monocyte-to-lymphocyte ratio and prostate cancer in the U.S. population: a population-based study.

Wang, Lanyu / Li, Xiaowan / Liu, Min / Zhou, Hongyi / Shao, Jianfeng

Frontiers in cell and developmental biology

2024 Volume 12, Page(s) 1372731

Abstract: Introduction: Monocyte-to-lymphocyte ratio (MLR) is a convenient and noninvasive inflammatory biomarker, and inflammation has been reported to be associated with prostate cancer (PCa). Our objective was to ascertain any possible correlation between PCa ... ...

Abstract	Introduction: Monocyte-to-lymphocyte ratio (MLR) is a convenient and noninvasive inflammatory biomarker, and inflammation has been reported to be associated with prostate cancer (PCa). Our objective was to ascertain any possible correlation between PCa and MLR. Methods: We utilized data from the 1999-2020 cycles of the National Health and Nutrition Examination Survey (NHANES) regarding MLR and PCa. The independent associations of MLR and other inflammatory biomarkers (platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI)) with PCa was investigated using weighted multivariate logistic regression and generalized additive models. Receiver operating characteristic (ROC) curves were conducted to evaluate and contrast their diagnostic capabilities. Results: The analysis we conducted comprised 25,367 persons in total. The mean MLR was 0.31 ± 0.14. The prevalence of PCa was 3.1%. A positive association was found between MLR and PCa (OR = 2.28; 95% CI: 1.44, 3.62). According to the interaction tests, age, body mass index (BMI), hypertension, diabetes, and smoking status did not significantly impact the relationship between MLR and PCa (all Conclusion: MLR might be better than other inflammatory biomarkers (NLR, SIRI, AISI, PLR, and SII) in predicting PCa. American adults who have elevated levels of MLR, NLR, PLR, SII, and AISI should be aware that they have a greater risk of PCa.
Language	English
Publishing date	2024-04-05
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2737824-X
ISSN	2296-634X
ISSN	2296-634X
DOI	10.3389/fcell.2024.1372731
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Article ; Online: Emerging artificial intelligence methods for fighting lung cancer

Jieli Zhou / Hongyi Xin

Clinical eHealth, Vol 5, Iss , Pp 19-

A survey

2022 Volume 34

Abstract: Lung cancer has one of the highest incidence rates and mortality rates among all common cancers worldwide. Early detection of suspicious lung nodules is crucial in fighting lung cancer. In recent years, with the proliferation of clinical data like low- ... ...

Abstract	Lung cancer has one of the highest incidence rates and mortality rates among all common cancers worldwide. Early detection of suspicious lung nodules is crucial in fighting lung cancer. In recent years, with the proliferation of clinical data like low-dose computed tomography (LDCT), histology whole slide images, electronic health records, and sensor readings from medical IoT devices etc., many artificial intelligence tools have taken more important roles in lung cancer management. In this survey, we lay out the current and emergent artificial intelligence methods for fighting lung cancers. Besides the commonly used CT image based deep learning models for detecting and diagnosing lung nodules, we also cover emergent AI techniques for lung cancer: 1) federated deep learning models for harnessing multi-center data with privacy in mind, 2) multi-modal deep learning models for integrating multiple sources of clinical and image data, 3) interpretable deep learning models for opening the black box for clinicians. In the big data era for cancer management, we believe this short survey will help AI researchers better understand the clinical challenges of lung cancer and will also help clinicians better understand the emergent AI tools.
Keywords	Medicine ; R
Subject code	610
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	KeAi Communications Co., Ltd.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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