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Article ; Online: Ankylosing spondylitis and psychiatric disorders in European population: a Mendelian randomization study.

Zuo, Huifang / Li, Min-Min

2023 Volume 14, Page(s) 1277959

Abstract: Background: Epidemiologic evidence has demonstrated a correlation between ankylosing spondylitis and psychiatric disorders. However, little is known about the common genetics and causality of this association. This study aimed to investigate the common ... ...

Abstract	Background: Epidemiologic evidence has demonstrated a correlation between ankylosing spondylitis and psychiatric disorders. However, little is known about the common genetics and causality of this association. This study aimed to investigate the common genetics and causality between ankylosing spondylitis (AS) and psychiatric disorders. Methods: A two-sample Mendelian Randomization (MR) analysis was carried out to confirm causal relationships between ankylosing spondylitis and five mental health conditions including major depressive disorder (MDD), anxiety disorder (AXD), schizophrenia (SCZ), bipolar disorder (BIP), and anorexia nervosa (AN). Genetic instrumental variables associated with exposures and outcomes were derived from the largest available summary statistics of genome-wide association studies (GWAS). Bidirectional causal estimation of MR was primarily obtained using the inverse variance weighting (IVW) method. Other MR methods include MR-Egger regression, Weighted Median Estimator (WME), Weighted Mode, Simple Mode, and Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO). Sensitivity analyses are conducted to estimate the robustness of MR results. Results: The findings suggest that AS may be causally responsible for the risk of developing SCZ (OR = 1.18, 95% confidence interval = (1.06, 1.31), P = 2.58 × 10 Conclusion: Our study provides fresh insights into the relationship between AS and psychiatric disorders (SCZ and AN). Furthermore, it may provide new clues for risk management and preventive interventions for mental disorders in patients with AS.
MeSH term(s)	Humans ; Spondylitis, Ankylosing/epidemiology ; Spondylitis, Ankylosing/genetics ; Depressive Disorder, Major ; Genome-Wide Association Study ; Mendelian Randomization Analysis ; Mental Disorders/epidemiology ; Mental Disorders/genetics
Language	English
Publishing date	2023-10-26
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2606827-8
ISSN	1664-3224 ; 1664-3224
ISSN (online)	1664-3224
ISSN	1664-3224
DOI	10.3389/fimmu.2023.1277959
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Article ; Online: Two web-based dynamically interactive nomograms and risk stratification systems for predicting survival outcomes and guiding treatment in non-metastatic nasopharyngeal carcinoma.

Zuo, Huifang / Li, Min-Min

Journal of cancer research and clinical oncology

2023 Volume 149, Issue 17, Page(s) 15969–15987

Abstract: Background: A nomogram is a valuable and easily accessible tool for individualizing cancer prognosis. This study aims to establish and validate two prognostic nomograms for long-term overall survival (OS) and cancer-specific survival (CSS) in non- ... ...

Abstract	Background: A nomogram is a valuable and easily accessible tool for individualizing cancer prognosis. This study aims to establish and validate two prognostic nomograms for long-term overall survival (OS) and cancer-specific survival (CSS) in non-metastatic nasopharyngeal carcinoma (NPC) patients and to investigate the treatment options for the nomogram-based risk stratification subgroups. Methods: A total of 3959 patients with non-metastatic NPC between 2004 and 2015 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The patients were randomly allocated to the training and validation cohorts in a 7:3 ratio. Prognostic nomograms were constructed to estimate OS and CSS by integrating significant variables from multivariate Cox regression employing a backward stepwise method. We examined the correlation indices (C-index) and areas under the curves (AUC) of time-dependent receiver operating characteristic curves to assess the discriminative ability of our survival models. The comprehensive enhancements of predictive performance were evaluated with net reclassification operating improvement (NRI) and integrated discrimination improvement (IDI). Reliability was validated using calibration plots. Decision curve analysis (DCA) was used to estimate clinical efficacy and capability. Finally, the nomogram-based risk stratification system used Kaplan-Meier survival analysis and log-rank tests to examine differences between subgroups. Results: The following independent parameters were significant predictors for OS: sex, age, race, marital status, histological type, median household income, AJCC stage tumor size, and lymph node size. Except for the race variables mentioned above, the rest were independent prognostic factors for CSS. The C-index, AUC, NRI, and IDI indicated satisfactory discriminating properties. The calibration curves exhibited high concordance with the exact outcomes. Moreover, the DCA demonstrated performed well for net benefits. The prognosis significantly differed between low- and high-risk patients (p < 0.001). In a treatment-based stratified survival analysis in risk-stratified subgroups, chemotherapy benefited patients in the high-risk group compared to radiotherapy alone. Radiotherapy only was recommended in the low-risk group. Conclusions: Our nomograms have satisfactory performance and have been validated. It can assist clinicians in prognosis assessment and individualized treatment of non-metastatic NPC patients.
MeSH term(s)	Humans ; Nomograms ; Nasopharyngeal Carcinoma/therapy ; Reproducibility of Results ; Nasopharyngeal Neoplasms/therapy ; Risk Assessment ; Internet ; Prognosis ; SEER Program
Language	English
Publishing date	2023-09-08
Publishing country	Germany
Document type	Randomized Controlled Trial ; Journal Article
ZDB-ID	134792-5
ISSN	1432-1335 ; 0171-5216 ; 0084-5353 ; 0943-9382
ISSN (online)	1432-1335
ISSN	0171-5216 ; 0084-5353 ; 0943-9382
DOI	10.1007/s00432-023-05363-0
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Article: Digital economy, binary factor mismatch and sustainable economic development of coastal areas in China.

Wu, Shujuan / Tang, Jianhua / Li, Minmin / Xiao, Jianhua

Heliyon

2024 Volume 10, Issue 4, Page(s) e26453

Abstract: In order to promote the sustainable economic development, it is critical employ the digital economy to solve the mismatch dilemma of land and marine factors in coastal areas. It analyzed the influencing mechanisms between the digital economy, land and ... ...

Abstract	In order to promote the sustainable economic development, it is critical employ the digital economy to solve the mismatch dilemma of land and marine factors in coastal areas. It analyzed the influencing mechanisms between the digital economy, land and labor factor mismatch and coastal economic sustainable development using network development and new economic growth theories. The intermediary and regulating effect models were used for empirical tests using panel data from 11 Chinese coastal provinces (city or district) between 2009 and 2018. Results found that: (1) Digital economy promoted the sustainable development of land and marine binary economies in coastal areas; (2) Digital economy improved the factor mismatch of land and marine binary economies, which further affected the sustainable economic development; (3) Market integration is conducive to alleviating land and marine factor mismatch and strengthening the optimization effect of the digital economy on the factor mismatch. This research provides a new perspective for clarifying the mechanism of the digital economy on sustainable economic development, as well as a reference for the realization of rational allocation of factor resources and sustainable economic development by taking factor mismatch of land and marine binary economies and market integration as the intermediary variables and regulatory variables.
Language	English
Publishing date	2024-02-18
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e26453
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Article ; Online: A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database.

Li, Xiao-Dan / Li, Min-Min

BMC medical informatics and decision making

2022 Volume 22, Issue 1, Page(s) 92

Abstract: Background: Stroke is a disease characterized by sudden cerebral ischemia and is the second leading cause of death worldwide. We aimed to develop and validate a nomogram model to predict mortality in intensive care unit patients with stroke.: Methods!# ...

Abstract	Background: Stroke is a disease characterized by sudden cerebral ischemia and is the second leading cause of death worldwide. We aimed to develop and validate a nomogram model to predict mortality in intensive care unit patients with stroke. Methods: All data involved in this study were extracted from the Medical Information Mart for Intensive Care III database (MIMIC-III). The data were analyzed using multivariate Cox regression, and the performance of the novel nomogram, which assessed the patient's overall survival at 30, 180, and 360 days after stroke, was evaluated using Harrell's concordance index (C-index) and the area under the receiver operating characteristic curve. A calibration curve and decision curve were introduced to test the clinical value and effectiveness of our prediction model. Results: A total of 767 patients with stroke were randomly divided into derivation (n = 536) and validation (n = 231) cohorts at a 7:3 ratio. Multivariate Cox regression showed that 12 independent predictors, including age, weight, ventilation, cardiac arrhythmia, metastatic cancer, explicit sepsis, Oxford Acute Severity of Illness Score or OASIS score, diastolic blood pressure, bicarbonate, chloride, red blood cell and white blood cell counts, played a significant role in the survival of individuals with stroke. The nomogram model was validated based on the C-indices, calibration plots, and decision curve analysis results. Conclusions: The plotted nomogram accurately predicted stroke outcomes and, thus may contribute to clinical decision-making and treatment as well as consultation services for patients.
MeSH term(s)	Critical Care ; Humans ; Intensive Care Units ; Nomograms ; Stroke ; Survival Analysis
Language	English
Publishing date	2022-04-06
Publishing country	England
Document type	Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
ZDB-ID	2046490-3
ISSN	1472-6947 ; 1472-6947
ISSN (online)	1472-6947
ISSN	1472-6947
DOI	10.1186/s12911-022-01836-3
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Article ; Online: Proteomic detection of COX-2 pathway-related factors in patients with adenomyosis.

Zhang, Jihua / Shi, Luying / Duan, Jingya / Li, Minmin / Li, Canyu

PeerJ

2024 Volume 12, Page(s) e16784

Abstract: Background: Investigating the relationship between cyclooxygenase-2 (COX-2) pathway-related factors and clinical features in patients with adenomyosis by proteomics could provide potential therapeutic targets.: Methods: This study recruited 40 ... ...

Abstract	Background: Investigating the relationship between cyclooxygenase-2 (COX-2) pathway-related factors and clinical features in patients with adenomyosis by proteomics could provide potential therapeutic targets. Methods: This study recruited 40 patients undergoing surgical hysterectomy and pathological diagnosis of adenomyosis, collected ectopic endometrial specimens, and recorded clinical data. The expression levels of COX-2 in ectopic uterus lesions were detected using the immunohistochemical (IHC) SP method. The 40 samples were then divided into a COX-2 low or high expression group. Five samples with the most typical expression levels were selected from each of the two groups and the differential proteins between the two groups were identified using label-free quantitative proteomics. WW domain-binding protein 2 (WBP2), interferon induced transmembrane protein 3 (IFITM3), and secreted frizzled-related protein 4 (SFRP4) were selected for further verification, and their relationships with COX-2 and clinical characteristics were analyzed. Results: There were statistically significant differences in the expression of WBP2, IFITM3, and SFRP4 between the COX-2 low and high expression groups ( Conclusions: COX-2, IFITM3, SFRP4, and WBP2 may be involved in the pathogenesis of adenomyosis. COX-2, IFITM3, and SFRP4 may serve as potential molecular biomarkers or therapeutic targets in dysmenorrhea in patients with early adenomyosis.
MeSH term(s)	Female ; Humans ; Adenomyosis/metabolism ; Dysmenorrhea/etiology ; Cyclooxygenase 2/metabolism ; Proteomics ; Uterus/metabolism ; Trans-Activators/metabolism ; Membrane Proteins/metabolism ; RNA-Binding Proteins
Chemical Substances	Cyclooxygenase 2 (EC 1.14.99.1) ; WBP2 protein, human ; Trans-Activators ; IFITM3 protein, human ; Membrane Proteins ; RNA-Binding Proteins
Language	English
Publishing date	2024-01-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2703241-3
ISSN	2167-8359 ; 2167-8359
ISSN (online)	2167-8359
ISSN	2167-8359
DOI	10.7717/peerj.16784
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Article: Machine learning-enhanced insights into sphingolipid-based prognostication: revealing the immunological landscape and predictive proficiency for immunomotherapy and chemotherapy responses in pancreatic carcinoma.

Shi, Ting / Li, Minmin / Yu, Yabin

Frontiers in molecular biosciences

2023 Volume 10, Page(s) 1284623

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2023-10-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2814330-9
ISSN	2296-889X
ISSN	2296-889X
DOI	10.3389/fmolb.2023.1284623
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Article ; Online: Information accessibility, accounting manipulation, and sustainable development of digital enterprises: Based on double moderating effect model and panel PSM-DID method.

Wu, Shujuan / Li, Minmin / Xiao, Jianhua / Tang, Jianhua

PloS one

2023 Volume 18, Issue 3, Page(s) e0283843

Abstract: A theoretical mechanism was analyzed from the micro perspective of the enterprise to explore how information accessibility moderates the effect of accounting manipulation on the sustainable development of digital enterprises. Using data from 1200 listing ...

Abstract	A theoretical mechanism was analyzed from the micro perspective of the enterprise to explore how information accessibility moderates the effect of accounting manipulation on the sustainable development of digital enterprises. Using data from 1200 listing digital enterprises in China and the DEA-Malmquist index method, the efficiency value of digital enterprises in 2007-2021 was estimated to represent the index of sustainable development of digital enterprises. The accounting manipulation was detected using the panel PSM-DID method based on the Administrative Measures for the Recognition of High-tech Enterprise's policy. The information accessibility value was estimated based on the MDA method. Empirical studies were conducted using text analysis, the panel PSM-DID method, and the double moderating effect model. The results showed that: (1) Accounting manipulation had a negative impact on the sustainable development of "true" digital enterprises and the "fake" digital enterprises. (2) Information accessibility directly and positively enhanced the technological progress and scale efficiency of digital enterprises, and its moderating effect was heterogeneous, with a significant moderating effect on the "true" digital enterprises and a negative effect on the "fake" ones.
MeSH term(s)	Sustainable Development ; China ; Empirical Research ; Policy ; Recognition, Psychology
Language	English
Publishing date	2023-03-31
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0283843
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Article ; Online: Innovative Chemical Tools to Address Analytical Challenges of Protein Phosphorylation and Glycosylation.

Li, Minmin / Xiong, Yuting / Qing, Guangyan

Accounts of chemical research

2023 Volume 56, Issue 18, Page(s) 2514–2525

MeSH term(s)	Humans ; Glycosylation ; Ligands ; Lipopolysaccharides ; Phosphorylation ; Stimuli Responsive Polymers
Chemical Substances	Ligands ; Lipopolysaccharides ; Stimuli Responsive Polymers
Language	English
Publishing date	2023-08-28
Publishing country	United States
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	1483291-4
ISSN	1520-4898 ; 0001-4842
ISSN (online)	1520-4898
ISSN	0001-4842
DOI	10.1021/acs.accounts.3c00397
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Article ; Online: A Modeling Approach for Assessing Ecological Risks of Neonicotinoid Insecticides from Emission to Nontarget Organisms: A Case Study of Cotton Plant.

Li, Zijian / Li, Minmin / Niu, Shan

Environmental toxicology and chemistry

2023 Volume 42, Issue 4, Page(s) 928–938

Abstract: The use of neonicotinoid insecticides in agriculture has posed threats to ecological systems, and there is a need to assess the ecological risks of neonicotinoids from emission to nontarget organisms. We introduced a modeling approach to assess the ... ...

Abstract	The use of neonicotinoid insecticides in agriculture has posed threats to ecological systems, and there is a need to assess the ecological risks of neonicotinoids from emission to nontarget organisms. We introduced a modeling approach to assess the ecological risks of neonicotinoids using honeybee and earthworm as model organisms, and the simulation was flexible under different environmental conditions. Using the cotton plant as an example, the simulation results demonstrated that under current recommended application rates, the use of common neonicotinoid insecticides posed no threat to earthworms, with the simulated risk quotients (RQs) much lower than 1. However, the simulation for some neonicotinoid insecticides (e.g., acetamiprid) indicated that using these insecticides on cotton plants could threaten honeybees, with simulated RQs higher than 1. The variability analysis showed that in high-latitude regions, the unacceptable risk to honeybees posed by insecticide application can be further elevated due to cold, wet weather that results in relatively high insecticide levels in pollen and nectar. The model evaluation showed large overlaps of simulated risk intervals between the proposed and existing (BeeREX) models. Because the proposed and existing models have different simulation mechanisms, we recommend that these two models be used together to complement each other in future studies. Environ Toxicol Chem 2023;42:928-938. © 2023 SETAC.
MeSH term(s)	Animals ; Bees ; Insecticides/toxicity ; Insecticides/analysis ; Gossypium ; Neonicotinoids/toxicity ; Neonicotinoids/analysis ; Plant Nectar ; Pollen/chemistry
Chemical Substances	Insecticides ; Neonicotinoids ; Plant Nectar
Language	English
Publishing date	2023-03-15
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	46234-2
ISSN	1552-8618 ; 0730-7268
ISSN (online)	1552-8618
ISSN	0730-7268
DOI	10.1002/etc.5583
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Article ; Online: A Modeling Approach for Assessing Ecological Risks of Neonicotinoid Insecticides from Emission to Nontarget Organisms: A Case Study of Cotton Plant

Li, Zijian / Li, Minmin / Niu, Shan

Environmental Toxicology and Chemistry. 2023 Apr., v. 42, no. 4 p.928-938

2023

Abstract	The use of neonicotinoid insecticides in agriculture has posed threats to ecological systems, and there is a need to assess the ecological risks of neonicotinoids from emission to nontarget organisms. We introduced a modeling approach to assess the ecological risks of neonicotinoids using honeybee and earthworm as model organisms, and the simulation was flexible under different environmental conditions. Using the cotton plant as an example, the simulation results demonstrated that under current recommended application rates, the use of common neonicotinoid insecticides posed no threat to earthworms, with the simulated risk quotients (RQs) much lower than 1. However, the simulation for some neonicotinoid insecticides (e.g., acetamiprid) indicated that using these insecticides on cotton plants could threaten honeybees, with simulated RQs higher than 1. The variability analysis showed that in high‐latitude regions, the unacceptable risk to honeybees posed by insecticide application can be further elevated due to cold, wet weather that results in relatively high insecticide levels in pollen and nectar. The model evaluation showed large overlaps of simulated risk intervals between the proposed and existing (BeeREX) models. Because the proposed and existing models have different simulation mechanisms, we recommend that these two models be used together to complement each other in future studies. Environ Toxicol Chem 2023;42:928–938. © 2023 SETAC
Keywords	acetamiprid ; case studies ; chemistry ; cold ; cotton ; earthworms ; ecotoxicology ; honey bees ; insecticide application ; latitude ; model validation ; nectar ; pollen ; risk ; weather
Language	English
Dates of publication	2023-04
Size	p. 928-938.
Publishing place	John Wiley & Sons, Ltd
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	46234-2
ISSN	1552-8618 ; 0730-7268
ISSN (online)	1552-8618
ISSN	0730-7268
DOI	10.1002/etc.5583
Database	NAL-Catalogue (AGRICOLA)

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