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      <title>Biomedical and Environmental Sciences</title>
    <link>/</link>
    <description><![CDATA[《Biomedical and Environmental Sciences》2023年第12期]]></description>
    <year><![CDATA[2023]]></year>
    <volume><![CDATA[36]]></volume>
    <issue><![CDATA[12]]></issue>
    	    <item>
	       	<title>Cover</title>
	      	<link>//article/id/f9faf43b-3d04-4d35-9271-42ad9ec8099d</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage></startPage>
	      	<endPage></endPage>
	      	<author>
				
	      	</author>
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    	    <item>
	       	<title>Contents</title>
	      	<link>//article/id/947f6cdf-0e18-4c1d-af62-1a3c6533fd63</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1</startPage>
	      	<endPage>2</endPage>
	      	<author>
				
	      	</author>
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    	    <item>
	       	<title>Association between Fruit and Vegetable Intake and Arterial Stiffness: The China-PAR Project</title>
	      	<link>//article/id/8e264426-d24d-48e3-ab13-6b97ade2a016</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 association between fruit and vegetable intake and arterial stiffness.&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 cohort-based study comprising 6,628 participants with arterial stiffness information in the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project. A semi-quantitative food-frequency questionnaire was used to assess baseline (2007–2008) and recent (2018–2021) fruit and vegetable intake. We assessed changes in fruit and vegetable intake from 2007–2008 to 2018–2021 in 6,481 participants. Arterial stiffness was measured using the arterial velocity–pulse index (AVI) and arterial pressure-volume index (API). Elevated AVI and API values were defined according to diverse age reference ranges.&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;Multivariable-adjusted linear regression models revealed that every 100 g/d increment in fruit and vegetable intake was associated with a 0.11 decrease in AVI (&amp;lt;i&amp;lt;B &amp;lt;/i&amp;lt;= −0.11; 95% confidence interval [&amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;]: −0.20, −0.02) on average, rather than API (&amp;lt;i&amp;lt;B&amp;lt;/i&amp;lt; = 0.02; 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: −0.09, 0.13). The risk of elevated AVI (odds ratio [&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt;] = 0.82; 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 0.70, 0.97) is 18% lower in individuals with high intake (≥ 500 g/d) than in those with low intake (&amp;lt; 500 g/d). Furthermore, maintaining a high intake in the past median of 11.5 years of follow-up was associated with an even lower risk of elevated AVI compared with a low intake at both baseline and follow-up (&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt; = 0.64; 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 0.49, 0.83).&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;Fruit and vegetable intake was negatively associated with arterial stiffness, emphasizing recommendations for adherence to fruit and vegetable intake for the prevention of arterial stiffness.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1113</startPage>
	      	<endPage>1122</endPage>
	      	<author>
				LIU Shuai, LIU Fang Chao, LI Jian Xin, HUANG Ke Yong, YANG Xue Li, CHEN Ji Chun, CAO Jie, CHEN Shu Feng, HUANG Jian Feng, SHEN Chong, LU Xiang Feng, GU Dong Feng
	      	</author>
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    	    <item>
	       	<title>An Artificial Neural Network Model Combined with Dietary Retinol Intake from Different Sources to Predict the Risk of Nonalcoholic Fatty Liver Disease</title>
	      	<link>//article/id/b7b362b4-08fc-4f8a-b90d-8410e4a8691f</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 develop an artificial neural network (ANN) model combined with dietary retinol intake from different sources to predict the risk of non-alcoholic fatty liver disease (NAFLD) in American 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 2007 to 2014 National Health and Nutrition Examination Survey (NHANES) 2007–2014 were analyzed. Eligible subjects (&amp;lt;i&amp;lt;n&amp;lt;/i&amp;lt; = 6,613) were randomly divided into a training set (&amp;lt;i&amp;lt;n&amp;lt;/i&amp;lt;&amp;lt;sub&amp;lt;1&amp;lt;/sub&amp;lt; = 4,609) and a validation set (&amp;lt;i&amp;lt;n&amp;lt;/i&amp;lt;&amp;lt;sub&amp;lt;2&amp;lt;/sub&amp;lt; = 2,004) at a ratio of 7:3. The training set was used to identify predictors of NAFLD risk using logistic regression analysis. An ANN was established to predict the NAFLD risk using a training set. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the accuracy of the model using the training and validation sets.&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;Our study found that the odds ratios (&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt;s) and 95% confidence intervals (&amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;s) of NAFLD for the highest quartile of plant-derived dietary retinol intake (i.e., provitamin A carotenoids, such as &amp;lt;i&amp;lt;β&amp;lt;/i&amp;lt;-carotene) (&amp;lt;i&amp;lt;OR&amp;lt;/i&amp;lt; = 0.75, 95% &amp;lt;i&amp;lt;CI&amp;lt;/i&amp;lt;: 0.57 to 0.99) were inversely associated with NAFLD risk, compared to the lowest quartile of intake, after adjusting for potential confounders. The areas under the ROC curves were 0.874 and 0.883 for the training and validation sets, respectively. NAFLD occurs when its incidence probability is greater than 0.388.&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;The ANN model combined with plant-derived dietary retinol intake showed a significant effect on NAFLD. This could be applied to predict NAFLD risk in the American adult population when government departments formulate future health plans.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1123</startPage>
	      	<endPage>1135</endPage>
	      	<author>
				LIU Can, ZHOU Shi Hui, SU Hong, YANG Wen Qin, LU Jiao
	      	</author>
	    </item>
    	    <item>
	       	<title>Circulating Exosomal LncRNAs as Novel Diagnostic Predictors of Severity and Sites of White Matter Hyperintensities</title>
	      	<link>//article/id/41856691-ad0d-4856-9ab0-15ec3911d310</link>
	     	<description><![CDATA[&amp;lt;sec&amp;lt;&amp;nbsp; &amp;lt;b&amp;lt;Objective&amp;lt;/b&amp;lt; &amp;nbsp;Exosomal long noncoding RNAs (lncRNAs) are the key to diagnosing and treating various diseases. This study aimed to investigate the diagnostic value of plasma exosomal lncRNAs in white matter hyperintensities (WMH).&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 used high-throughput sequencing to determine the differential expression (DE) profiles of lncRNAs in plasma exosomes from WMH patients and controls. The sequencing results were verified in a validation cohort using qRT-PCR. The diagnostic potential of candidate exosomal lncRNAs was proven by binary logistic analysis and receiver operating characteristic (ROC) curves. The diagnostic value of DE exo-lncRNAs was determined by the area under the curve (AUC). The WMH group was then divided into subgroups according to the Fazekas scale and white matter lesion site, and the correlation of DE exo-lncRNAs in the subgroup was evaluated.&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;In our results, four DE exo-lncRNAs were identified, and ROC curve analysis revealed that exo-lnc_011797 and exo-lnc_004326 exhibited diagnostic efficacy for WMH. Furthermore, WMH subgroup analysis showed exo-lnc_011797 expression was significantly increased in Fazekas 3 patients and was significantly elevated in patients with paraventricular matter hyperintensities.&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;Plasma exosomal lncRNAs have potential diagnostic value in WMH. Moreover, exo-lnc_011797 is considered to be a predictor of the severity and location of WMH.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1136</startPage>
	      	<endPage>1151</endPage>
	      	<author>
				XU Xiang, SUN Yu, ZHANG Shuai, XIAO Qi, ZHU Xiao Yan, MA Ai Jun, PAN Xu Dong
	      	</author>
	    </item>
    	    <item>
	       	<title>Influence of the Pre-shock State on the Prognosis of Medical Patients with Sepsis: A Retrospective Cohort Study</title>
	      	<link>//article/id/be40e8de-0a55-4caa-8d4f-7f7d9dd4cdc6</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 effects of the pre-shock state on the mortality of patients with sepsis.&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 enrolled patients with sepsis admitted to the medical intensive care unit of a tertiary care university hospital. These patients were then classified into three groups: sepsis, pre-shock state, and septic shock. The primary outcome was the 28-day mortality rate. The secondary outcomes were the 90-day, 180-day, and 1-year mortality rates.&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;A total of 303 patients (groups: sepsis 135 [44.6%]), pre-shock state (93 [30.7%]), and septic shock (75 [24.8%]) completed the 1-year follow-up. The mortality rates at 28 days, 90 days, and 180 days and 1 year were significantly higher in the pre-shock state group than those of the sepsis group, but significantly lower than those in the septic shock group, especially among older patients. When compared with the pre-shock state group, the sepsis group had significantly lower mortality risks at 28 days, 90 days, and 180 days and 1 year, whereas the sepsis shock group had higher mortality risks at these time points.&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;The mortality rates of patients in the pre-shock state were notably different from those of patients with sepsis or septic shock. The introduction of a modified sepsis severity classification, which includes sepsis, pre-shock state, and septic shock, could offer valuable additional prognostic information.&amp;lt;/sec&amp;lt;]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1152</startPage>
	      	<endPage>1161</endPage>
	      	<author>
				ZHANG Lei, GAI Xiao Yan, LI Xin, LIANG Ying, WANG Meng, ZHAO Fei Fan, ZHOU Qing Tao, SUN Yong Chang
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	       	<title>Moving Epidemic Method for Surveillance and Early Warning of Hand, Foot, and Mouth Disease in Beijing, China</title>
	      	<link>//article/id/dd71dc3c-38db-4bd0-bc78-d2cdd9aa714a</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1162</startPage>
	      	<endPage>1166</endPage>
	      	<author>
				DONG Shuai Bing, WANG Yu, HUO Da, ZHAO Hao, LIU Bai Wei, LI Ren Qing, GAO Zhi Yong, WANG Xiao Li, ZHANG Dai Tao, WANG Quan Yi, JIA Lei, YANG Peng
	      	</author>
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    	    <item>
	       	<title>The Pathogenic Characteristics of the Initial Three Mpox Cases in Hunan Province, China</title>
	      	<link>//article/id/660f8565-84c3-47f1-be24-72cdca6eb25e</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1167</startPage>
	      	<endPage>1170</endPage>
	      	<author>
				LIU Rong Jiao, XIANG Xing Yu, HE Zi Xiang, SUN Qian Lai, LIU Fu Qiang, ZHOU Shuai Feng, HUANG Yi Wei, LI Fang Cai, HUANG Chao Yang, WANG Juan, HE Fang Ling, OU Xin Hua, LI Shi Kang, LU Yu Ying, ZHANG Fan, CAI Liang, MA Hai Ling, ZHAN Zhi Fei
	      	</author>
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    	    <item>
	       	<title>A Cascade Analysis of Community Transmission Risks for HIV among People Who Inject Drugs Living with HIV in Iran</title>
	      	<link>//article/id/baf5eb5f-7dfd-4f11-acdd-e64f56e0dbd8</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1171</startPage>
	      	<endPage>1176</endPage>
	      	<author>
				Monireh Faghir-Ganji, Mostafa Shokoohi, Saharnaz Nedjat, Afarin Rahimi-Movaghar, Kamran Yazdani, James G. Khan, Ali Mirzazadeh
	      	</author>
	    </item>
    	    <item>
	       	<title>Barriers to Physical Activity among Children and Adolescents with Intellectual Disabilities: A Cross-sectional Study</title>
	      	<link>//article/id/5b5304f2-63a8-4bda-8392-915f10e16bf0</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1177</startPage>
	      	<endPage>1182</endPage>
	      	<author>
				WANG Yu, JIN Qiu Meng, WANG Chao, HE Gang, LI Dong Sheng, MA Kai Yue
	      	</author>
	    </item>
    	    <item>
	       	<title>Adipocytokine Gene SNPs and Type 2 Diabetes in Mongolians: A Gene-Gene and Gene-Environment Interaction Study</title>
	      	<link>//article/id/482bbad5-378d-423f-9508-2c44b0cdab1d</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1183</startPage>
	      	<endPage>1188</endPage>
	      	<author>
				LI Na, ZHANG Li Hong, GAO Yu Min, LI Hai Ling, LI Wu Yun Ta Na, PANG Hui, ZHAO Yan Ping, ZHENG Hai Fang, DONG Jia Hui, ZHAO Ling Yan
	      	</author>
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    	    <item>
	       	<title>Radiation Exposure for Patients and Staff during Different Interventional Procedures Using Anthropomorphic Phantoms: A Complete Evaluation of Different Body Regions</title>
	      	<link>//article/id/9d974e36-1fe1-4141-aa02-767f1e8ae51f</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1189</startPage>
	      	<endPage>1193</endPage>
	      	<author>
				ZHAO Zhi Xin, QIAN Pei Yi, WANG Hai Hua, QIAN Qian, YANG Yong, JING Li Yan, YANG Lu Ting, YANG Lei, WANG Qiang
	      	</author>
	    </item>
    	    <item>
	       	<title>World AIDS Day: Mobilizing Social Forces to Fight AIDS Together</title>
	      	<link>//article/id/ee4243e2-61a1-422a-ab03-600ca3b7ea83</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1194</startPage>
	      	<endPage>1195</endPage>
	      	<author>
				CUI Yun Shang
	      	</author>
	    </item>
    	    <item>
	       	<title>World Flu Day: Protecting Health, Keeping away from Flu Troubles</title>
	      	<link>//article/id/bb2de33b-fdef-4668-9ed2-8a4c8e0b0677</link>
	     	<description><![CDATA[]]></description>
	      	<volume>36</volume>
	      	<issue>12</issue>
	      	<startPage>1196</startPage>
	      	<endPage>1196</endPage>
	      	<author>
				CUI Yun Shang
	      	</author>
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