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      <title>Biomedical and Environmental Sciences</title>
    <link>/</link>
    <description><![CDATA[《Biomedical and Environmental Sciences》2025年第1期]]></description>
    <year><![CDATA[2025]]></year>
    <volume><![CDATA[38]]></volume>
    <issue><![CDATA[1]]></issue>
    	    <item>
	       	<title>Optimizing Nutrition to Reduce Cardiometabolic Disease Burden: Strategies for a Healthier China</title>
	      	<link>//article/id/07a59fcf-c5d0-4684-8970-64e4d02749b2</link>
	     	<description><![CDATA[]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>1</startPage>
	      	<endPage>2</endPage>
	      	<author>
				Gangqiang Ding
	      	</author>
	    </item>
    	    <item>
	       	<title>Association between Per and Polyfluoroalkyl Substance and Abdominal Fat Distribution: A Trait Spectrum Exposure Pattern and Structure-Based Investigation</title>
	      	<link>//article/id/0741e975-8169-4053-8b17-05b10dfc60ae</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt;  &amp;nbsp;To investigate the associations between eight serum per- and polyfluoroalkyl substances (PFASs) and regional fat depots, we analyzed the data from the National Health and Nutrition Examination Survey (NHANES) 2011–2018 cycles.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Methods&amp;lt;/b&amp;lt;  &amp;nbsp;Multiple linear regression models were developed to explore the associations between serum PFAS concentrations and six fat compositions along with a fat distribution score created by summing the concentrations of the six fat compositions. The associations between structurally grouped PFASs and fat distribution were assessed, and a prediction model was developed to estimate the ability of PFAS exposure to predict obesity risk.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Results&amp;lt;/b&amp;lt;  &amp;nbsp;Among females aged 39–59 years, trunk fat mass was positively associated with perfluorooctane sulfonate (PFOS). Higher concentrations of PFOS, perfluorohexane sulfonate (PFHxS), perfluorodecanoate (PFDeA), perfluorononanoate (PFNA), and n-perfluorooctanoate (n-PFOA) were linked to greater visceral adipose tissue in this group. In men, exposure to total perfluoroalkane sulfonates (PFSAs) and long-chain PFSAs was associated with reductions in abdominal fat, while higher abdominal fat in women aged 39–59 years was associated with short-chain PFSAs. The prediction model demonstrated high accuracy, with an area under the curve (AUC) of 0.9925 for predicting obesity risk.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Conclusion&amp;lt;/b&amp;lt;  &amp;nbsp;PFAS exposure is associated with regional fat distribution, with varying effects based on age, sex, and PFAS structure. The findings highlight the potential role of PFAS exposure in influencing fat depots and obesity risk, with significant implications for public health. The prediction model provides a highly accurate tool for assessing obesity risk related to PFAS exposure.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>3</startPage>
	      	<endPage>14</endPage>
	      	<author>
				Zhi Li, Shilin Shan, Chenyang Song, Chengzhe Tao, Hong Qian, Qin Yuan, Yan Zhang, Qiaoqiao Xu, Yufeng Qin, Yun Fan, Chuncheng Lu
	      	</author>
	    </item>
    	    <item>
	       	<title>Association between Fish Consumption and Stroke Incidence Across Different Predicted Risk Populations: A Prospective Cohort Study from China</title>
	      	<link>//article/id/0bcf43be-d88c-41f2-9d9d-46cc5ca24a65</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt;  &amp;nbsp;The relationship between fish consumption and stroke is inconsistent, and it is uncertain whether this association varies across predicted stroke risks.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Methods&amp;lt;/b&amp;lt;  &amp;nbsp;A cohort study comprising 95,800 participants from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project was conducted. A standardized questionnaire was used to collect data on fish consumption. Participants were stratified into low- and moderate-to-high-risk categories based on their 10-year stroke risk prediction scores. Hazard ratios (&amp;lt;i&amp;lt;HRs&amp;lt;/i&amp;lt;) and 95% confidence intervals (&amp;lt;i&amp;lt;CIs&amp;lt;/i&amp;lt;) were estimated using Cox proportional hazard models and additive interaction by relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI).&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Results&amp;lt;/b&amp;lt;  &amp;nbsp;During 703,869 person-years of follow-up, 2,773 incident stroke events were identified. Higher fish consumption was associated with a lower risk of stroke, particularly among moderate-to-high-risk individuals (&amp;lt;i&amp;lt;HR&amp;lt;/i&amp;lt; = 0.53, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 0.47–0.60) than among low-risk individuals (&amp;lt;i&amp;lt;HR&amp;lt;/i&amp;lt; = 0.64, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 0.49–0.85). A significant additive interaction between fish consumption and predicted stroke risk was observed (RERI = 4.08, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 2.80–5.36; SI = 1.64, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 1.42–1.89; AP = 0.36, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 0.28–0.43).&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Conclusion&amp;lt;/b&amp;lt;  &amp;nbsp;Higher fish consumption was associated with a lower risk of stroke, and this beneficial association was more pronounced in individuals with moderate-to-high stroke risk.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>15</startPage>
	      	<endPage>26</endPage>
	      	<author>
				Hongyue Hu, Fangchao Liu, Keyong Huang, Chong Shen, Jian Liao, Jianxin Li, Chenxi Yuan, Ying Li, Xueli Yang, Jichun Chen, Jie Cao, Shufeng Chen, Dongsheng Hu, Jianfeng Huang, Xiangfeng Lu, Dongfeng Gu
	      	</author>
	    </item>
    	    <item>
	       	<title>Glycemic Control and Diabetes Duration in Relation to Subsequent Myocardial Infarction among Patients with Coronary Heart Disease and Type 2 Diabetes</title>
	      	<link>//article/id/1c61ba9b-10bb-4a31-aff6-3ef38a3d1f6a</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt;  &amp;nbsp;This study aimed to investigate the impact of glycemic control and diabetes duration on subsequent myocardial infarction (MI) in patients with both coronary heart disease (CHD) and type 2 diabetes (T2D).&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Methods&amp;lt;/b&amp;lt;  &amp;nbsp;We conducted a retrospective cohort study of 33,238 patients with both CHD and T2D in Shenzhen, China. Patients were categorized into 6 groups based on baseline fasting plasma glucose (FPG) levels and diabetes duration (from the date of diabetes diagnosis to the baseline date) to examine their combined effects on subsequent MI. Cox proportional hazards regression models were used, with further stratification by age, sex, and comorbidities to assess potential interactions.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Results&amp;lt;/b&amp;lt;  &amp;nbsp;Over a median follow-up of 2.4 years, 2,110 patients experienced MI. Compared to those with optimal glycemic control (FPG &amp;lt; 6.1 mmol/L) and shorter diabetes duration (&amp;lt; 10 years), the fully-adjusted hazard ratio (&amp;lt;i&amp;lt;HR&amp;lt;/i&amp;lt;) (95% Confidence Interval [95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;]) for those with a diabetes duration of ≥ 10 years and FPG &amp;gt; 8.0 mmol/L was 1.93 (95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 1.59, 2.36). The combined effects of FPG and diabetes duration on MI were largely similar across different age, sex, and comorbidity groups, although the excess risk of MI associated with long-term diabetes appeared to be more pronounced among those with atrial fibrillation.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Conclusion&amp;lt;/b&amp;lt;  &amp;nbsp;Our study indicates that glycemic control and diabetes duration significant influence the subsequent occurrence of MI in patients with both CHD and T2D. Tailored management strategies emphasizing strict glycemic control may be particularly beneficial for patients with longer diabetes duration and atrial fibrillation.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>27</startPage>
	      	<endPage>36</endPage>
	      	<author>
				Furong Li, Yan Dou, Chunbao Mo, Shuang Wang, Jing Zheng, Dongfeng Gu, Fengchao Liang
	      	</author>
	    </item>
    	    <item>
	       	<title>Association between Non-high-density Lipoprotein Cholesterol to High-density Lipoprotein Cholesterol Ratio (NHHR) and Stroke among Adults in the USA: A Cross-Sectional NHANES Study</title>
	      	<link>//article/id/dbdabd29-d38b-4ef1-b0d8-86149bbd5c93</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt;  &amp;nbsp;The relationship between non-high-density lipoprotein (NHDL) cholesterol to high-density lipoprotein cholesterol (HDL-C) ratio (NHHR) and stoke remains unknown. This study aimed to evaluate the association between the adult NHHR and stroke occurrence in the United States of America (USA).&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Methods&amp;lt;/b&amp;lt;  &amp;nbsp;To clarify the relationship between the NHHR and stroke risk, this study used a multivariable logistic regression model and a restricted cubic spline (RCS) model to investigate the association between the NHHR and stroke, and data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Subgroup and sensitivity analyses were conducted to test the robustness of the results.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Results&amp;lt;/b&amp;lt;  &amp;nbsp;This study included 29,928 adult participants, of which 1,165 participants had a history of stroke. Logistic regression analysis of variables demonstrated a positive association between NHHR and stroke (&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt; 1.24, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 1.03–1.50, &amp;lt;i&amp;lt;P&amp;lt;/i&amp;lt; = 0.026). Compared with the lowest reference group of NHHR, participants in the second, third, and fourth quartile had a significantly increased risk of stroke after full adjustments (&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt;: 1.35, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 1.08–1.69) (&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt;: 1.83, 95% &amp;lt;i&amp;lt;CI:&amp;lt;/i&amp;lt; 1.42–2.36) (&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt;: 2.04, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 1.50–2.79). In the total population, a nonlinear dose-response relationship was observed between the NHHR and stroke risk (&amp;lt;i&amp;lt;P&amp;lt;/i&amp;lt; non-linearity = 0.002). This association remained significant in several subgroup analyses. Further investigation of the NHHR may enhance our understanding of stroke prevention and treatment.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Conclusion&amp;lt;/b&amp;lt;  &amp;nbsp;Our findings suggest a positive correlation between the NHHR and an increased prevalence of stroke, potentially serving as a novel predictive factor for stroke. Timely intervention and management of the NHHR may effectively mitigate stroke occurrence. Prospective studies are required to validate this association and further explore the underlying biological mechanisms.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>37</startPage>
	      	<endPage>46</endPage>
	      	<author>
				Haixia Ma, Huaqiu Chen, Peichang Wang
	      	</author>
	    </item>
    	    <item>
	       	<title>The Sequential Mediating Roles of Body Pain and Self-Reported Health Status in the Relationship between Sleep Duration and Life Satisfaction</title>
	      	<link>//article/id/a740fa8a-cc42-44bf-85b1-d3c79ba1bb41</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt;  &amp;nbsp; This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Methods&amp;lt;/b&amp;lt;  &amp;nbsp; Data from the fifth wave of the China Health and Retirement Longitudinal Survey (CHARLS) were used to analyse the relationships between sleep duration and body pain, self-reported health, and life satisfaction through logistic regression and Restricted Cubic Spline (RCS) analyses. The sequential mediation effects of body pain and self-reported health status were examined &amp;lt;i&amp;lt;via&amp;lt;/i&amp;lt; chain mediation analysis.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Results&amp;lt;/b&amp;lt;  &amp;nbsp; Logistic regression analysis showed that sleeping fewer than 6 hours or 6–7 hours was linked to higher risks of body pain, poor health, and dissatisfaction with life compared to sleeping 7–8 hours (all &amp;lt;i&amp;lt;P&amp;lt;/i&amp;lt; &amp;lt; 0.05). Additionally, those sleeping more than 9 hours also had increased risks of poor health and dissatisfaction with life compared to those sleeping 7–8 hours (all &amp;lt;i&amp;lt;P&amp;lt;/i&amp;lt; &amp;lt; 0.05). Chain mediation analysis showed that body pain and self-reported health status sequentially mediated 46.15% of the association between sleep duration and life satisfaction.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Conclusion&amp;lt;/b&amp;lt;  &amp;nbsp; Body pain and self-reported health may shape the relationship between sleep duration and life satisfaction in elderly Chinese adults.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>47</startPage>
	      	<endPage>55</endPage>
	      	<author>
				Jiafeng Li, Xuewei Fu, Dan Yang, Ye Wang, Ting Chen, Yang Peng, Fenghao Yang, Yuchen Zhan, Yu Wang, Xiangdong Tang
	      	</author>
	    </item>
    	    <item>
	       	<title>Inflammatory Bowel Disease and Dementia: Evidence Triangulation from a Meta-Analysis of Observational Studies and Mendelian Randomization Study</title>
	      	<link>//article/id/9a4741ee-e385-4f5e-a2a7-e736691c442b</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt;  &amp;nbsp;Observational studies have found associations between inflammatory bowel disease (IBD) and the risk of dementia, including Alzheimer’s dementia (AD) and vascular dementia (VD); however, these findings are inconsistent. It remains unclear whether these associations are causal.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Methods&amp;lt;/b&amp;lt;  &amp;nbsp;We conducted a meta-analysis by systematically searching for observational studies on the association between IBD and dementia. Mendelian randomization (MR) analysis based on summary genome-wide association studies (GWASs) was performed. Genetic correlation and Bayesian co-localization analyses were used to provide robust genetic evidence.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Results&amp;lt;/b&amp;lt;  &amp;nbsp;Ten observational studies involving 80,565,688 participants were included in this meta-analysis. IBD was significantly associated with dementia (risk ratio [&amp;lt;i&amp;lt;RR&amp;lt;/i&amp;lt;] =1.36, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt; = 1.04–1.78; &amp;lt;i&amp;lt;I&amp;lt;/i&amp;lt;&amp;lt;sup&amp;lt;2&amp;lt;/sup&amp;lt; = 84.8%) and VD (&amp;lt;i&amp;lt;RR&amp;lt;/i&amp;lt; = 2.60, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt; = 1.18–5.70; only one study), but not with AD (&amp;lt;i&amp;lt;RR&amp;lt;/i&amp;lt; = 2.00, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt; = 0.96–4.13; &amp;lt;i&amp;lt;I&amp;lt;/i&amp;lt;&amp;lt;sup&amp;lt;2&amp;lt;/sup&amp;lt; = 99.8%). MR analyses did not supported significant causal associations of IBD with dementia (dementia: odds ratio [&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt;] = 1.01, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt; = 0.98–1.03; AD: &amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt; = 0.98, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt; = 0.95–1.01; VD: &amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt; = 1.02, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt; = 0.97–1.07). In addition, genetic correlation and co-localization analyses did not reveal any genetic associations between IBD and dementia.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Conclusion&amp;lt;/b&amp;lt;  &amp;nbsp;Our study did not provide genetic evidence for a causal association between IBD and dementia risk. The increased risk of dementia observed in observational studies may be attributed to unobserved confounding factors or detection bias.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>56</startPage>
	      	<endPage>66</endPage>
	      	<author>
				Di Liu, Meiling Cao, Shanshan Wu, Bingli Li, Yiwen Jiang, Tengfei Lin, Fuxiao Li, Weijie Cao, Jinqiu Yuan, Feng Sha, Zhirong Yang, Jinling Tang
	      	</author>
	    </item>
    	    <item>
	       	<title>Predicting Diabetic Retinopathy Using a Machine Learning Approach Informed by Whole-Exome Sequencing Studies</title>
	      	<link>//article/id/f92db7f5-6121-46f3-b798-d3bd97ae44eb</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt;  &amp;nbsp;To establish and validate a novel diabetic retinopathy (DR) risk-prediction model using a whole-exome sequencing (WES)-based machine learning (ML) method.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Methods&amp;lt;/b&amp;lt;  &amp;nbsp;WES was performed to identify potential single nucleotide polymorphism (SNP) or mutation sites in a DR pedigree comprising 10 members. A prediction model was established and validated in a cohort of 420 type 2 diabetic patients based on both genetic and demographic features. The contribution of each feature was assessed using Shapley Additive explanation analysis. The efficacies of the models with and without SNP were compared.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Results&amp;lt;/b&amp;lt;  &amp;nbsp;WES revealed that seven SNPs/mutations (&amp;lt;i&amp;lt;rs116911833 in TRIM7, 1997T&amp;gt;C in LRBA, 1643T&amp;gt;C in PRMT10,&amp;lt;/i&amp;lt; rs117858678 in &amp;lt;i&amp;lt;C9orf152&amp;lt;/i&amp;lt;, &amp;lt;i&amp;lt;rs201922794 in CLDN25&amp;lt;/i&amp;lt;, &amp;lt;i&amp;lt;rs146694895 in SH3GLB2&amp;lt;/i&amp;lt;, and &amp;lt;i&amp;lt;rs201407189 in FANCC&amp;lt;/i&amp;lt;) were associated with DR. Notably, the model including &amp;lt;i&amp;lt;rs146694895&amp;lt;/i&amp;lt; &amp;lt;i&amp;lt;and rs201407189&amp;lt;/i&amp;lt; achieved better performance in predicting DR (accuracy: 80.2%; sensitivity: 83.3%; specificity: 76.7%; area under the receiver operating characteristic curve [AUC]: 80.0%) than the model without these SNPs (accuracy: 79.4%; sensitivity: 80.3%; specificity: 78.3%; AUC: 79.3%).&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Conclusion&amp;lt;/b&amp;lt;  &amp;nbsp;Novel SNP sites associated with DR were identified in the DR pedigree. Inclusion of &amp;lt;i&amp;lt;rs146694895&amp;lt;/i&amp;lt; and &amp;lt;i&amp;lt;rs201407189&amp;lt;/i&amp;lt; significantly enhanced the performance of the ML-based DR prediction model.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>67</startPage>
	      	<endPage>78</endPage>
	      	<author>
				Chongyang She, Wenying Fan, Yunyun Li, Yong Tao, Zufei Li
	      	</author>
	    </item>
    	    <item>
	       	<title>Nogo-A Protein Mediates Oxidative Stress and Synaptic Damage Induced by High-Altitude Hypoxia in the Rat Hippocampus</title>
	      	<link>//article/id/c87c6137-a1e1-4038-8dac-c1ddd5807a3c</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt;  &amp;nbsp;High-altitude hypoxia exposure often damages hippocampus-dependent learning and memory. Nogo-A is an important axonal growth inhibitory factor. However, its function in high-altitude hypoxia and its mechanism of action remain unclear.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Methods&amp;lt;/b&amp;lt;  &amp;nbsp;In an &amp;lt;i&amp;lt;in vivo&amp;lt;/i&amp;lt; study, a low-pressure oxygen chamber was used to simulate high-altitude hypoxia, and genetic or pharmacological intervention was used to block the Nogo-A/NgR1 signaling pathway. Contextual fear conditioning and Morris water maze behavioral tests were used to assess learning and memory in rats, and synaptic damage in the hippocampus and changes in oxidative stress levels were observed. &amp;lt;i&amp;lt;In vitro&amp;lt;/i&amp;lt;, SH-SY5Y cells were used to assess oxidative stress and mitochondrial function with or without Nogo-A knockdown in Oxygen Glucose-Deprivation/Reperfusion (OGD/R) models.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Results&amp;lt;/b&amp;lt;  &amp;nbsp;Exposure to acute high-altitude hypoxia for 3 or 7 days impaired learning and memory in rats, triggered oxidative stress in the hippocampal tissue, and reduced the dendritic spine density of hippocampal neurons. Blocking the Nogo-A/NgR1 pathway ameliorated oxidative stress, synaptic damage, and the learning and memory impairment induced by high-altitude exposure.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Conclusion&amp;lt;/b&amp;lt;  &amp;nbsp;Our results demonstrate the detrimental role of Nogo-A protein in mediating learning and memory impairment under high-altitude hypoxia and suggest the potential of the Nogo-A/NgR1 signaling pathway as a crucial therapeutic target for alleviating learning and memory dysfunction induced by high-altitude exposure.&amp;lt;/sec&amp;lt;&amp;lt;sec&amp;lt;&amp;nbsp;  &amp;lt;b&amp;lt;Graphical Abstract&amp;lt;/b&amp;lt;  &amp;nbsp; available in www.besjournal.com&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>79</startPage>
	      	<endPage>93</endPage>
	      	<author>
				Jinyu Fang, Huaicun Liu, Yanfei Zhang, Quancheng Cheng, Ziyuan Wang, Xuan Fang, Huiru Ding, Weiguang Zhang, Chunhua Chen
	      	</author>
	    </item>
    	    <item>
	       	<title>Longitudinal Associations between Vitamin D Status and Systemic Inflammation Markers among Early Adolescents</title>
	      	<link>//article/id/f548055d-680e-487f-adac-82bcf64d2e9d</link>
	     	<description><![CDATA[]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>94</startPage>
	      	<endPage>99</endPage>
	      	<author>
				Ting Tang, Xinhui Wang, Xue Wen, Min Li, Mengyuan Yuan, Yonghan Li, Xiaoqin Zhong, Fangbiao Tao, Puyu Su, Xihua Yu, Gengfu Wang
	      	</author>
	    </item>
    	    <item>
	       	<title>W&amp;lt;sub&amp;lt;18&amp;lt;/sub&amp;lt;O&amp;lt;sub&amp;lt;49&amp;lt;/sub&amp;lt; Crystal and ICG Labeled Macrophage: An Efficient Targeting Vector for Fluorescence Imaging-guided Photothermal Therapy</title>
	      	<link>//article/id/58397738-6048-4c89-80b6-47b15c866969</link>
	     	<description><![CDATA[]]></description>
	      	<volume>38</volume>
	      	<issue>1</issue>
	      	<startPage>100</startPage>
	      	<endPage>105</endPage>
	      	<author>
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