Zhongxiao Wan
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View article: Association of Android and Gynoid Fatness With Incident Dementia and Brain Structure
Association of Android and Gynoid Fatness With Incident Dementia and Brain Structure Open
Background The relationship between regional adiposity and dementia remains poorly understood. Methods This study included 440 861 UK Biobank participants initially free of dementia, stroke and cancer. Hazard ratios (HRs) and 95% confidenc…
View article: Cervical Dystonia as the Initial Symptom of IRF2BPL-related Disorder: A Case Report
Cervical Dystonia as the Initial Symptom of IRF2BPL-related Disorder: A Case Report Open
Background IRF2BPL -related disorder ,also known as neurodevelopmental disorder with regression, abnormal movements, loss of speech, and seizures, NEDAMSS, is a rare neurogenetic disorder. It typically presents with developmental delay or …
View article: Association Between Excessive Internet Use Time, Internet Addiction, and Physical-Mental Multimorbidity Among Chinese Adolescents: Cross-Sectional Study
Association Between Excessive Internet Use Time, Internet Addiction, and Physical-Mental Multimorbidity Among Chinese Adolescents: Cross-Sectional Study Open
Background In contemporary society, the lives of adolescents are profoundly influenced by the internet. While irrational internet use may have an impact on the physical and mental well-being of teenagers, the relationship between excessive…
View article: Relationships of social isolation and loneliness with healthy aging among older adults
Relationships of social isolation and loneliness with healthy aging among older adults Open
View article: Machine Learning: A Multicenter Study on Predicting Lateral Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma
Machine Learning: A Multicenter Study on Predicting Lateral Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma Open
Background The necessity of prophylactic lateral neck dissection for cN0 papillary thyroid carcinoma (PTC) remains debated. This study aimed to compare traditional nomograms with machine learning (ML) models for predicting ipsilateral late…
View article: Research on the spatiotemporal differentiation, dynamic evolution, and impacts of agricultural energy efficiency in China under the constraint of the “dual carbon” target
Research on the spatiotemporal differentiation, dynamic evolution, and impacts of agricultural energy efficiency in China under the constraint of the “dual carbon” target Open
Agricultural energy is the bedrock of agricultural production, and efficient energy utilization significantly bolsters the quality and productivity of agricultural outputs. However, agricultural energy consumption also plays a substantial …
View article: The associations between dietary advanced glycation-end products intake and self-reported infertility in U.S. women: data from the NHANES 2013–2018
The associations between dietary advanced glycation-end products intake and self-reported infertility in U.S. women: data from the NHANES 2013–2018 Open
Evidence suggest that dietary advanced glycation end products (AGEs) might exert harmful effects on female reproductive function. However, population-based studies exploring the associations between dietary AGEs intake and female infertili…
View article: Prevalence, Transition Trends in CKM Syndrome and Associations with Mortality in Northwestern China
Prevalence, Transition Trends in CKM Syndrome and Associations with Mortality in Northwestern China Open
View article: Royal Jelly and 10-Hydroxy-2-Decenoic acid activate autophagy through mTOR/ULK1 pathway to improve cognitive function in diabetic mice
Royal Jelly and 10-Hydroxy-2-Decenoic acid activate autophagy through mTOR/ULK1 pathway to improve cognitive function in diabetic mice Open
Diabetes, a ruthless chronic metabolic disorder, is increasingly considered to jeopardize global well-being over the decades. Royal jelly (RJ) is a complex natural product secreted by worker bees containing a unique fatty acid known as 10-…
View article: Triglyceride-rich lipoproteins cholesterol, 10-years atherosclerotic cardiovascular disease risk, and risk of myocardial infarction and ischemic stroke
Triglyceride-rich lipoproteins cholesterol, 10-years atherosclerotic cardiovascular disease risk, and risk of myocardial infarction and ischemic stroke Open
Triglyceride-rich lipoproteins cholesterol (TRLs-C) has been associated with atherosclerotic cardiovascular disease (ASCVD), even among individuals with low-density lipoprotein cholesterol in the targeted range. We assessed the association…
View article: Table S8 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S8 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S8 shows the forward MR analyses of the six gut microbial metabolites with the risk of colorectal cancer.
View article: Table S1 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S1 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S1 shows the SNPs that associated with 24 microbiota taxa in MiBioGen (P<5×10-8).
View article: Supplementary Methods from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Supplementary Methods from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Supplementary Methods shows the formulas for calculating F-statistics.
View article: Table S5 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S5 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S5 shows the SNPs for adenoma and polyps.
View article: Table S3 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S3 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S3 shows the SNPs that associated with six gut microbial metabolites.
View article: Table S4 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S4 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S4 shows the SNPs for colorectal cancer.
View article: Table S5 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S5 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S5 shows the SNPs for adenoma and polyps.
View article: Table S1 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S1 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S1 shows the SNPs that associated with 24 microbiota taxa in MiBioGen (P<5×10-8).
View article: Table S6 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S6 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S6 shows the forward MR analyses of 24 gut microbiota with the risk of colorectal cancer.
View article: Table S7 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S7 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S7 shows the forward MR analyses of nine gut microbiota with the risk of colorectal cancer.
View article: Table S4 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S4 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S4 shows the SNPs for colorectal cancer.
View article: Table S3 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S3 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S3 shows the SNPs that associated with six gut microbial metabolites.
View article: Table S8 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S8 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S8 shows the forward MR analyses of the six gut microbial metabolites with the risk of colorectal cancer.
View article: Data from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Data from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Background: Human gut microbiome has complex relationships with the host, contributing to metabolism, immunity, and carcinogenesis. Methods: Summary-level data for gut microbiota and metabolites were obtained from MiBioGen, FINRISK and hum…
View article: Supplementary Methods from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Supplementary Methods from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Supplementary Methods shows the formulas for calculating F-statistics.
View article: Table S2 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S2 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S2 shows the SNPs that associated with nine microbiota taxa (P<1×10-5).
View article: Table S9 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S9 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S9 shows the reverse MR analyses of colorectal cancer, adenoma and polyps with the abundance of nine gut microbiota.
View article: Table S2 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S2 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S2 shows the SNPs that associated with nine microbiota taxa (P<1×10-5).
View article: Table S6 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S6 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S6 shows the forward MR analyses of 24 gut microbiota with the risk of colorectal cancer.
View article: Table S9 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis
Table S9 from Exploring the complex relationship between gut microbiota and risk of colorectal neoplasia using bidirectional Mendelian Randomization analysis Open
Table S9 shows the reverse MR analyses of colorectal cancer, adenoma and polyps with the abundance of nine gut microbiota.