Human Nutrition and Metabolism最新文献_第2页

Effects of prolonged confined space operations on human gut microbiota and serum metabolome 长时间密闭空间手术对人体肠道菌群和血清代谢组的影响

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-10-21 DOI: 10.1016/j.hnm.2025.200347

Fuqiang Sun, Geli Qin, Hao Zeng, Miaosheng Guan, Hui Liu, Hongjie Qiu, Tiantian Wei, Hongfang Hu

Objective

Psychophysiological stress caused by long-term closed environments can disturb the homeostasis of the intestinal flora, which can aggravate bodily stress through metabolic dysfunction, forming a vicious circle. The purpose of this study was to analyze the mechanisms of the intestinal flora and serum metabolism of individuals working in closed environments, reveal the characteristics of the flora and metabolomes of such workers, and provide the basis for health protection.

Methods

Fecal and serum samples of nine healthy volunteers were collected before entering the cabin, and on days 14 and 28, the intestinal microflora was analyzed via 16 S rRNA sequencing. Serum metabolomics analysis was performed via LC-MS. Serum inflammatory factors were analyzed using the targeted proteome Olink technique.

Results

A total of 6373 OTUs were identified. At the gate level, 5/9 of the subjects exhibited significantly increased levels of Proteobacteria on day 14, and 6/9 of the subjects exhibited increased levels of Firmicutes on Day 28. Bacteroides levels continued to decrease. Linear discriminant analysis effect size showed a decrease in Prevotellamassilia timonensis and Alloprevotella and an increase in Clostridiales spp. By day 28. LC-MS revealed that 93 metabolites were upregulated and 178 metabolites were downregulated compared with the baseline. KEGG enrichment analysis showed that amino acid biosynthesis was significantly activated on day 14 (P < 0.05), while steroid hormone and fatty acid biosynthesis dominated on day 28. Olink analysis revealed significantly increased expression of IL-2 and CCL23 on day 28 (P < 0.05).

Conclusion

The closed environment can induce structural adjustment of the microbial community (enrichment of Firmicutes and reduction of Bacteroides), which can lead to dynamic reprogramming of serum metabolites and gradual activation of inflammation. These findings suggest the temporal adaptability of microbial metabolic functions and host inflammatory response.

目的长期封闭环境引起的心理生理应激会扰乱肠道菌群的内稳态，进而通过代谢功能障碍加重机体应激，形成恶性循环。本研究旨在分析封闭环境下劳动者肠道菌群和血清代谢的机制，揭示封闭环境下劳动者肠道菌群和代谢组的特征，为健康防护提供依据。方法9名健康志愿者在入舱前采集粪便和血清样本，于第14天和第28天采用16s rRNA测序法分析肠道菌群。采用LC-MS进行血清代谢组学分析。使用靶向蛋白质组Olink技术分析血清炎症因子。结果共鉴定出6373个otu。在门水平，5/9的受试者在第14天表现出变形菌门水平显著升高，6/9的受试者在第28天表现出厚壁菌门水平显著升高。拟杆菌水平继续下降。线性判别分析效应大小显示，28 d时，timmonamassilia prevotella和Alloprevotella减少，Clostridiales spp.增加。LC-MS显示，与基线相比，93种代谢物上调，178种代谢物下调。KEGG富集分析表明，氨基酸生物合成在第14天显著激活（P < 0.05），而类固醇激素和脂肪酸生物合成在第28天占主导地位。链接分析显示，第28天IL-2和CCL23的表达显著升高（P < 0.05）。结论封闭环境可诱导微生物群落结构调整（厚壁菌门富集、拟杆菌门减少），导致血清代谢物的动态重编程和炎症的逐渐激活。这些发现提示微生物代谢功能和宿主炎症反应的时间适应性。

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引用次数: 0

Sociodemographic, behavioral, and dietary determinants associated with the metabolically healthy profile in a cohort of pre-obese and obese Cameroonians: a cross-sectional study 喀麦隆肥胖前期和肥胖人群中与代谢健康状况相关的社会人口学、行为和饮食决定因素：一项横断面研究

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-10-17 DOI: 10.1016/j.hnm.2025.200350

Maxwell Wandji Nguedjo , Jafarou Mounpou , Hippolyte Tene Mouafo , Nanhah Kamga Jules Vidal , Judith Laure Ngondi , Julius Enyong Oben

Background

This study aims to explore the association between certain sociodemographic, behavioral, and dietary determinants and the metabolically healthy profile in a cohort of pre-obese and obese Cameroonians.

Methods

A cross-sectional, analytic study was conducted on a cohort of 324 Cameroonians of pre-obese and obese Bamiléké ethnicity resident in the West region of Cameroon from 2016 to 2017. A questionnaire was used to collect information on the sociodemographic, behavioral, and dietary data of each participant. Participants' clinical characteristics and biochemical parameters were assessed. Bivariate and Multivariate logistic regression analyses were performed to identify relevant determinants that may be associated with the metabolically healthy profile.

Results

The results showed that 33.30 % of men and 28.07 % of women who were pre-obese and obese had a metabolically healthy profile. Participants with a metabolically healthy profile were distinguished nutritionally by dietary fiber intakes of 20.11 ± 0.79 g/day, vitamin C of 120.47 ± 13.68 mg/day, and sodium of 456.99 ± 10.96 mg/day. The multivariate regression analysis showed younger age (OR = 0.16; 95 % CI: 0.08–0.33), profession of unemployed (OR = 0.33; 95% CI: 0.17-0.66), low socioeconomic level (OR = 0.33; 95 % CI: 0.18–0.55), moderate level of physical activity (OR = 0.39; 95 % CI: 0.20–0.77) or high physical activity (OR = 0.08; 95 % CI: 0.04–0.16), not eating street food (OR = 0.46; 95 % CI: 0.26–0.81), and frequency of vegetable consumption ≥3 times/week (OR = 0.42; 95 % CI: 0.24–0.71) were determinants associated with a metabolically healthy profile in this pre-obese and obese population.

Conclusion

These results highlight the importance of a balanced diet and a healthy lifestyle, as well as the need to raise awareness among the Cameroonian population about socio-economic and behavioral factors affecting cardiometabolic health.

本研究旨在探讨喀麦隆肥胖前期和肥胖人群中某些社会人口统计学、行为和饮食决定因素与代谢健康状况之间的关系。方法对2016年至2017年居住在喀麦隆西部地区的324名喀麦隆人进行了横断面分析研究。使用问卷收集每个参与者的社会人口学、行为和饮食数据信息。评估参与者的临床特征和生化指标。进行了双变量和多变量logistic回归分析，以确定可能与代谢健康状况相关的相关决定因素。结果在肥胖前期和肥胖人群中，33.30%的男性和28.07%的女性代谢健康。在营养方面，代谢健康的参与者膳食纤维摄入量为20.11±0.79 g/天，维生素C摄入量为120.47±13.68 mg/天，钠摄入量为456.99±10.96 mg/天。多因素回归分析显示：年龄较小（OR = 0.16; 95% CI: 0.08 - 0.33）、职业为失业（OR = 0.33; 95% CI: 0.17-0.66）、社会经济水平较低（OR = 0.33; 95% CI: 0.18-0.55）、中等体力活动水平（OR = 0.39; 95% CI: 0.20-0.77）或高体力活动水平（OR = 0.08; 95% CI: 0.04-0.16）、不吃街头食品（OR = 0.46; 95% CI: 0.26-0.81）、蔬菜消费频率≥3次/周(OR = 0.42；95% CI: 0.24-0.71)是与肥胖前期和肥胖人群代谢健康状况相关的决定因素。结论：这些结果强调了均衡饮食和健康生活方式的重要性，以及提高喀麦隆人口对影响心脏代谢健康的社会经济和行为因素的认识的必要性。

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引用次数: 0

Association of dietary intake of macronutrients, legumes, and fibers with serum levels of paraoxonase-1 in patients with coronary artery disease 冠状动脉疾病患者饮食中大量营养素、豆类和纤维摄入与血清对氧磷酶-1水平的关系

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-10-13 DOI: 10.1016/j.hnm.2025.200348

Sorayya Kheirouri , Mohammad Alizadeh , Masoumeh Rafinezhad

Background and aims

Adopting preventive measures, such as a heart-healthy diet abundant in legumes and dietary fibers, is essential for managing risk factors associated with coronary artery disease (CAD). The purpose of this investigation was to elucidate the relationship between the dietary intake of macronutrients, legumes, fibers, and serum levels of paraoxonase-1 (PON1)—an enzyme known for its protective role against CAD—in patients diagnosed with CAD.

Methods

In this cross-sectional research, 102 CAD patients and 60 healthy controls were recruited. CAD was diagnosed through angiography, and dietary intake was assessed using a food frequency questionnaire. Serum PON1 levels were measured using an ELISA method.

Results

The dietary intakes of fats, lentils, broad beans, and fibers were significantly lower in the patients than in the healthy group. In multivariate analysis, each unit increase in dietary protein, soluble and insoluble fibers intake was associated with 4 % (p = 0.03), 82 % (p = 0.05), and 35 % (p = 0.02) reduced odds of CAD, respectively. The high dietary intake of carbohydrates was inversely associated, but fats (total, saturated, and MUFA) and lentils were positively associated with serum PON1 levels.

Conclusion

These results highlight the importance of dietary choices in influencing cardiovascular health, suggesting that incorporating lentils in the diet, increasing fiber intake, using the correct proportions of different fats (saturated or unsaturated), and moderating carbohydrate consumption may be beneficial for maintaining optimal heart health.

背景和目的采取预防措施，如富含豆类和膳食纤维的心脏健康饮食，对于控制与冠状动脉疾病（CAD）相关的危险因素至关重要。本研究的目的是阐明膳食中常量营养素、豆类、纤维摄入量与CAD患者血清对氧磷酶-1 （PON1）水平之间的关系，PON1是一种已知的对CAD具有保护作用的酶。方法采用横断面研究方法，招募冠心病患者102例，健康对照60例。通过血管造影诊断冠心病，并使用食物频率问卷评估饮食摄入量。采用ELISA法测定血清PON1水平。结果患者饮食中脂肪、扁豆、蚕豆和纤维的摄入量明显低于健康组。在多变量分析中，膳食蛋白质、可溶性和不可溶性纤维摄入量每增加一个单位，冠心病的发病率分别降低4% （p = 0.03）、82% （p = 0.05）和35% （p = 0.02）。高碳水化合物饮食摄入量与血清PON1水平呈负相关，但脂肪（总脂肪、饱和脂肪和多足脂肪酸）和扁豆与血清PON1水平呈正相关。这些结果强调了饮食选择对心血管健康的重要性，表明在饮食中加入扁豆，增加纤维摄入量，使用正确比例的不同脂肪（饱和或不饱和），并调节碳水化合物的摄入可能有利于维持最佳的心脏健康。

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引用次数: 0

Chocolate milk significantly reduced serum lactate levels compared to other recovery drinks: A comprehensive systematic review and meta-analysis of randomized controlled trials 与其他恢复性饮料相比，巧克力牛奶显著降低了血清乳酸水平：一项随机对照试验的综合系统回顾和荟萃分析

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-10-03 DOI: 10.1016/j.hnm.2025.200343

Mohammad Mehdi Abbasi , Abbas Maghsoudifar , Ghazaleh Eslamian

Background

Chocolate milk (CM) is a widely used recovery beverage among athletes due to its favorable nutritional profile and hydration properties. However, its effects on different recovery markers after exercise remain unclear. This study aimed to systematically review and meta-analyze randomized controlled trials (RCTs) assessing CM's impact on recovery indices.

Methods

A comprehensive search of Web of Science, PubMed, Embase, and Scopus databases was conducted up to April 2025 for RCTs administering CM to healthy adults post-exercise. Weighted mean differences (WMDs) and 95 % confidence intervals (CIs) were calculated for outcomes including body weight, serum creatine kinase (CK), lactate, myoglobin, cortisol, plasma glucose, and insulin. Subgroup, sensitivity, meta-regression, and dose-response analyses were performed to explore heterogeneity sources and moderator effects.

Results

Sixteen RCTs (200 participants) were included in the systematic review, and 12 RCTs (140 participants) were analyzed quantitatively. CM showed no significant effect on body weight (WMD: 0.18 kg, 95 % CI: -0.10 to 0.47, P = 0.20) or serum CK (WMD: -52.40 U/L, 95 % CI: -129.27 to 24.48, P = 0.18) compared to other recovery drinks. However, CM significantly reduced serum lactate levels (WMD: -0.75 mmol/L, 95 % CI: -1.19 to -0.31, P = 0.01), particularly in endurance athletes and U.S.-based studies. Additionally, CM decreased cortisol levels in studies conducted in the USA (WMD: -642.39 pmol/L, 95 % CI: -937.21 to -347.56, P < 0.001).

Conclusions

CM provides similar recovery benefits compared to other drinks but significantly lowers serum lactate. Further RCTs are needed to clarify optimal dosing strategies and assess its effects on additional recovery biomarkers.

巧克力牛奶（CM）是一种被运动员广泛使用的恢复饮料，因为它具有良好的营养成分和水合特性。然而，它对运动后不同恢复指标的影响尚不清楚。本研究旨在系统回顾和荟萃分析评估CM对恢复指标影响的随机对照试验（rct）。方法综合检索截至2025年4月的Web of Science、PubMed、Embase和Scopus数据库，对健康成人运动后给予CM的随机对照试验进行分析。对体重、血清肌酸激酶（CK）、乳酸、肌红蛋白、皮质醇、血浆葡萄糖和胰岛素等结果计算加权平均差异（wmd）和95%置信区间（CIs）。通过亚组分析、敏感性分析、meta回归分析和剂量-反应分析来探索异质性来源和调节效应。结果纳入16项随机对照试验（200名受试者），对12项随机对照试验（140名受试者）进行定量分析。与其他恢复性饮料相比，CM对体重（WMD: 0.18 kg, 95% CI: -0.10 ~ 0.47, P = 0.20）或血清CK （WMD: -52.40 U/L, 95% CI: -129.27 ~ 24.48, P = 0.18）无显著影响。然而，CM显著降低血清乳酸水平（WMD: -0.75 mmol/L, 95% CI: -1.19至-0.31,P = 0.01），特别是在耐力运动员和基于美国的研究中。此外，在美国进行的研究中，CM降低了皮质醇水平（WMD: -642.39 pmol/L, 95% CI: -937.21至-347.56,P < 0.001）。结论与其他饮料相比，scm具有相似的恢复作用，但显著降低血清乳酸。需要进一步的随机对照试验来阐明最佳给药策略，并评估其对其他恢复生物标志物的影响。

{"title":"Chocolate milk significantly reduced serum lactate levels compared to other recovery drinks: A comprehensive systematic review and meta-analysis of randomized controlled trials","authors":"Mohammad Mehdi Abbasi , Abbas Maghsoudifar , Ghazaleh Eslamian","doi":"10.1016/j.hnm.2025.200343","DOIUrl":"10.1016/j.hnm.2025.200343","url":null,"abstract":"<div><h3>Background</h3><div>Chocolate milk (CM) is a widely used recovery beverage among athletes due to its favorable nutritional profile and hydration properties. However, its effects on different recovery markers after exercise remain unclear. This study aimed to systematically review and meta-analyze randomized controlled trials (RCTs) assessing CM's impact on recovery indices.</div></div><div><h3>Methods</h3><div>A comprehensive search of Web of Science, PubMed, Embase, and Scopus databases was conducted up to April 2025 for RCTs administering CM to healthy adults post-exercise. Weighted mean differences (WMDs) and 95 % confidence intervals (CIs) were calculated for outcomes including body weight, serum creatine kinase (CK), lactate, myoglobin, cortisol, plasma glucose, and insulin. Subgroup, sensitivity, meta-regression, and dose-response analyses were performed to explore heterogeneity sources and moderator effects.</div></div><div><h3>Results</h3><div>Sixteen RCTs (200 participants) were included in the systematic review, and 12 RCTs (140 participants) were analyzed quantitatively. CM showed no significant effect on body weight (WMD: 0.18 kg, 95 % CI: -0.10 to 0.47, P = 0.20) or serum CK (WMD: -52.40 U/L, 95 % CI: -129.27 to 24.48, P = 0.18) compared to other recovery drinks. However, CM significantly reduced serum lactate levels (WMD: -0.75 mmol/L, 95 % CI: -1.19 to -0.31, P = 0.01), particularly in endurance athletes and U.S.-based studies. Additionally, CM decreased cortisol levels in studies conducted in the USA (WMD: -642.39 pmol/L, 95 % CI: -937.21 to -347.56, P < 0.001).</div></div><div><h3>Conclusions</h3><div>CM provides similar recovery benefits compared to other drinks but significantly lowers serum lactate. Further RCTs are needed to clarify optimal dosing strategies and assess its effects on additional recovery biomarkers.</div></div>","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"42 ","pages":"Article 200343"},"PeriodicalIF":1.8,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prevalence and risk factors of sarcopenia and altered gut microbiota in maintenance hemodialysis patients: A multi-center study 维持性血液透析患者肌肉减少症和肠道菌群改变的患病率和危险因素：一项多中心研究

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-09-26 DOI: 10.1016/j.hnm.2025.200344

Xinyue Zhang , Ruilian Wang , Yanqing Chi , Zhenyu Yan , Yang Song , Liping Hou , Jin Qin , Jingjing Zhang , Dan Yu , Hailing Di

Objective

To investigate the prevalence of malnutrition and sarcopenia and to identify potential risk factors associated with sarcopenia and with alterations in gut microbiota diversity among maintenance hemodialysis (MHD) patients.

Methods

MHD patients undergoing regular hemodialysis for more than 3 months were recruited from four hospital hemodialysis centers. Dietary intake, anthropometric measures, body composition, and biochemical parameters were assessed. Nutritional status and sarcopenia were diagnosed using the GLIM criteria and the 2019 AWGS criteria, respectively. Gut microbiota composition was analyzed via 16S rRNA sequencing. Potential risk factors for both sarcopenia and altered gut microbiota diversity were analyzed using multivariate logistic regression.

Results

The overall prevalence of malnutrition was 50.2 % (37 % mild, 13.2 % severe), and sarcopenia was 20.6 %. Depression symptom was significantly associated with an increased risk of sarcopenia (adjusted OR = 5.04, p = 0.004). In contrast, both hyperuricemia and higher BMI showed a protective association against sarcopenia (p < 0.001 and p = 0.004, respectively). Higher SGA score (aOR = 2.59, 95 % CI: 1.66–4.05, p < 0.001) and elevated BMI (aOR = 1.12, 95 % CI: 1.00–1.25, p = 0.038) were positively associated with gut microbial diversity, whereas increased triglyceride levels were negatively associated (aOR = 0.61, 95 % CI: 0.43–0.87, p = 0.006).

Conclusion

Depressive status was an increased risk of sarcopenia, while moderately elevated uric acid levels may deem as a protective factor against sarcopenia. Better nutritional status and healthy BMI were beneficial for maintaining gut microbial diversity in MHD patients.

目的调查维持性血液透析（MHD）患者营养不良和肌肉减少症的患病率，并确定与肌肉减少症和肠道微生物群多样性改变相关的潜在危险因素。方法从4家医院血液透析中心招募定期血液透析3个月以上的高血压患者。评估饮食摄入量、人体测量、身体成分和生化参数。分别使用GLIM标准和2019 AWGS标准诊断营养状况和肌肉减少症。通过16S rRNA测序分析肠道菌群组成。使用多元逻辑回归分析肌肉减少症和肠道微生物群多样性改变的潜在危险因素。结果总体营养不良患病率为50.2%（轻度37%，重度13.2%），肌肉减少症患病率为20.6%。抑郁症状与肌肉减少症风险增加显著相关（校正OR = 5.04, p = 0.004）。相比之下，高尿酸血症和高BMI均显示出对肌肉减少症的保护性关联（p <； 0.001和p = 0.004）。较高的SGA评分（aOR = 2.59, 95% CI: 1.66-4.05, p < 0.001）和较高的BMI （aOR = 1.12, 95% CI: 1.00-1.25, p = 0.038）与肠道微生物多样性呈正相关，而升高的甘油三酯水平呈负相关（aOR = 0.61, 95% CI: 0.43-0.87, p = 0.006）。结论抑郁状态可增加骨骼肌减少症的发生风险，而适度升高的尿酸水平可能是预防骨骼肌减少症的保护因素。良好的营养状况和健康的BMI有利于MHD患者维持肠道微生物多样性。

{"title":"Prevalence and risk factors of sarcopenia and altered gut microbiota in maintenance hemodialysis patients: A multi-center study","authors":"Xinyue Zhang , Ruilian Wang , Yanqing Chi , Zhenyu Yan , Yang Song , Liping Hou , Jin Qin , Jingjing Zhang , Dan Yu , Hailing Di","doi":"10.1016/j.hnm.2025.200344","DOIUrl":"10.1016/j.hnm.2025.200344","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the prevalence of malnutrition and sarcopenia and to identify potential risk factors associated with sarcopenia and with alterations in gut microbiota diversity among maintenance hemodialysis (MHD) patients.</div></div><div><h3>Methods</h3><div>MHD patients undergoing regular hemodialysis for more than 3 months were recruited from four hospital hemodialysis centers. Dietary intake, anthropometric measures, body composition, and biochemical parameters were assessed. Nutritional status and sarcopenia were diagnosed using the GLIM criteria and the 2019 AWGS criteria, respectively. Gut microbiota composition was analyzed via 16S rRNA sequencing. Potential risk factors for both sarcopenia and altered gut microbiota diversity were analyzed using multivariate logistic regression.</div></div><div><h3>Results</h3><div>The overall prevalence of malnutrition was 50.2 % (37 % mild, 13.2 % severe), and sarcopenia was 20.6 %. Depression symptom was significantly associated with an increased risk of sarcopenia (adjusted OR = 5.04, <em>p</em> = 0.004). In contrast, both hyperuricemia and higher BMI showed a protective association against sarcopenia (<em>p</em> < 0.001 and <em>p</em> = 0.004, respectively). Higher SGA score (aOR = 2.59, 95 % CI: 1.66–4.05, <em>p</em> < 0.001) and elevated BMI (aOR = 1.12, 95 % CI: 1.00–1.25, <em>p</em> = 0.038) were positively associated with gut microbial diversity, whereas increased triglyceride levels were negatively associated (aOR = 0.61, 95 % CI: 0.43–0.87, <em>p</em> = 0.006).</div></div><div><h3>Conclusion</h3><div>Depressive status was an increased risk of sarcopenia, while moderately elevated uric acid levels may deem as a protective factor against sarcopenia. Better nutritional status and healthy BMI were beneficial for maintaining gut microbial diversity in MHD patients.</div></div>","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"42 ","pages":"Article 200344"},"PeriodicalIF":1.8,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Refractory symptoms of gastroesophageal reflux disease after fundoplication may be associated with food intolerance/malabsorption 胃食管反流病复发后的难治性症状可能与食物不耐受/吸收不良有关

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-09-25 DOI: 10.1016/j.hnm.2025.200345

Wolfgang J. Schnedl , Simon Michaelis , Dietmar Enko , Sandra J. Holasek

Objectives

Gastroesophageal reflux disease (GERD) has been identified as the most common gastrointestinal disorder. Despite undergoing fundoplication surgery, a significant number of patients continue to experience symptoms of GERD that are refractory to treatment. This retrospective pilot study reports on the testing of patients with refractory GERD symptoms after fundoplication for food intolerance/malabsorption and gastric Helicobacter pylori (H. pylori).

Methods

In this study, hydrogen (H₂) breath testing was employed to screen for lactose intolerance (LIT) and fructose malabsorption (FM) in 31 patients with refractory GERD after fundoplication. The diagnosis of histamine intolerance (HIT) is determined by a response to a histamine-reduced diet and serum diamine oxidase (DAO) levels. For the detection of H. pylori infection antibodies against H. pylori and for search of celiac disease antibodies to tissue transglutaminase were determined.

Results

Of the patients with refractory GERD after fundoplication, 29 out of 31 (95.5 %) were diagnosed with food intolerance/malabsorption, combinations thereof, and/or H. pylori infection. The utilization of the H₂ breath test resulted in the identification of LIT in 18 out of 31 patients (58.1 %), while 15 out of 31 patients (48.1 %) exhibited low serum DAO, indicative of HIT. FM was identified in 8 out of 31 patients (25.8 %) through the H₂ breath test, and 1 out of 31 patients (3.2 %) showed indications of H. pylori infection.

Conclusion

In the evaluation of patients exhibiting refractory GERD symptoms following fundoplication, it is imperative to consider the potential roles of food intolerance/malabsorption and H. pylori infection as contributing factors. It is recommended that food intolerance and malabsorption be included in the list of potential etiologies of refractory GERD symptoms following fundoplication.

目的胃食管反流病（GERD）是最常见的胃肠道疾病。尽管进行了底襞手术，但仍有相当数量的患者出现难以治疗的胃食管反流症状。本回顾性试点研究报告了对因食物不耐受/吸收不良和胃幽门螺杆菌（H. pylori）而进行胃底吻合术后出现难治性GERD症状的患者的检测。方法采用氢气呼气试验筛查31例难治性胃食管反流术后患者的乳糖不耐受（LIT）和果糖吸收不良（FM）。组胺不耐受（HIT）的诊断是通过对组胺减少饮食和血清二胺氧化酶（DAO）水平的反应来确定的。检测幽门螺杆菌感染抗体和乳糜泻组织转谷氨酰胺酶抗体。结果在31例难治性胃食管反流患者中，有29例（95.5%）被诊断为食物不耐受/吸收不良，合并食物不耐受/吸收不良和/或幽门螺杆菌感染。H2呼气试验的使用导致31例患者中18例（58.1%）识别出LIT，而31例患者中15例（48.1%）表现出低血清DAO，表明HIT。31例患者中有8例（25.8%）经H2呼气试验鉴定为FM， 1例（3.2%）有幽门螺杆菌感染征象。结论在评估盆底重叠术后出现难治性胃食管反流症状的患者时，必须考虑食物不耐受/吸收不良和幽门螺旋杆菌感染的潜在影响因素。建议将食物不耐受和吸收不良列入胃底重叠后难治性胃食管反流症状的潜在病因。

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引用次数: 0

Effect of L-arginine, L-citrulline and micronutrient supplementation on elevated triglyceride levels and metabolic syndrome severity score 补充l -精氨酸、l -瓜氨酸和微量营养素对甘油三酯水平升高和代谢综合征严重程度评分的影响

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-09-25 DOI: 10.1016/j.hnm.2025.200346

Felix Kerlikowsky, Andreas Hahn

Metabolic syndrome (MetS) is characterized by a cluster of metabolic disturbances, including elevated triglyceride (TAG) levels, obesity, and hypertension, and is associated with an increased risk of coronary heart disease and type 2 diabetes mellitus. Dietary interventions involving L-arginine (L-Arg), L-citrulline (L-Cit) and micronutrients may support numerous physiological functions and improve health during metabolic disturbances. We hypothesized that L-Arg, L-Cit, and micronutrient supplementation decreases elevated TAG levels (≥150 mg/dL) and improves metabolic health. This proof-of-principle study was an eight-week randomized double-blind intervention involving 60 obese individuals (age: 59.9 ± 7.5 years, BMI: 33.6 ± 4.7 kg/m², TAG level: 211 ± 71.2 mg/dL). The study aimed to investigate the potential effects of L-Arg, L-Cit, and micronutrient supplementation on TAG levels and the MetS severity score based on waist circumference (WC). After eight-weeks of supplementation, the verum group showed a significant decrease in TAG levels compared to placebo (p < 0.001), and significant reductions in LDL-C (p = 0.038), systolic blood pressure (BP) (p = 0.040), and body fat mass (p = 0.045). In contrast, no effects were observed on fasting glucose, WC or diastolic BP. Participants in the verum group showed a significant decrease in the MetS severity score (p = 0.041), suggesting an improvement in metabolic health, while those in the placebo group showed no changes. This proof-of-principle study indicate that L-Arg, L-Cit, and micronutrient supplementation may reduce TAG levels and potentially improve overall metabolic health in obese individuals with elevated TAG. Confirmatory studies are needed to substantiate these exploratory findings.

代谢综合征（MetS）以一系列代谢紊乱为特征，包括甘油三酯（TAG）水平升高、肥胖和高血压，并与冠心病和2型糖尿病的风险增加有关。饮食干预包括l -精氨酸（L-Arg）、l -瓜氨酸（L-Cit）和微量营养素可以支持许多生理功能，并在代谢紊乱期间改善健康。我们假设补充l -精氨酸、l -柠檬酸盐和微量营养素可以降低升高的TAG水平（≥150mg /dL）并改善代谢健康。这项原理验证研究是一项为期8周的随机双盲干预，涉及60名肥胖个体（年龄：59.9±7.5岁，BMI: 33.6±4.7 kg/m2， TAG水平：211±71.2 mg/dL）。该研究旨在探讨补充l -精氨酸、l -柠檬酸和微量营养素对TAG水平和基于腰围（WC）的MetS严重程度评分的潜在影响。补充八周后，与安慰剂相比，verum组的TAG水平显著降低（p < 0.001）， LDL-C （p = 0.038）、收缩压（BP）（p = 0.040）和体脂量（p = 0.045）也显著降低。相反，对空腹血糖、WC或舒张压没有影响。verum组的参与者在MetS严重程度评分上显着下降（p = 0.041），表明代谢健康有所改善，而安慰剂组的参与者则没有变化。这项原理验证研究表明，补充l -精氨酸、l -柠檬酸盐和微量营养素可能会降低TAG水平，并可能改善TAG升高的肥胖个体的整体代谢健康。需要进一步的研究来证实这些探索性的发现。

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引用次数: 0

Corrigendum to “Association between diet quality evaluated using the Meiji nutritional profiling system and serum 25-hydroxyvitamin D levels in Japanese adults and older adults: A cross-sectional study from the NILS-LSA” [Hum. Nutr. Metab. 41 (2025) 200328] “使用明治营养分析系统评估饮食质量与日本成年人和老年人血清25-羟基维生素D水平之间的关系：来自NILS-LSA的横断面研究”的勘误表。减轻。医学通报，41 (2025)200328]

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-08-27 DOI: 10.1016/j.hnm.2025.200342

Tao Yu, Shu Zhang, Ryota Wakayama, Tomohito Horimoto, Chikako Tange, Yukiko Nishita, Rei Otsuka

引用次数: 0

Advancing predictive analytics in child malnutrition: Machine, ensemble and deep learning models with balanced class distribution for early detection of stunting and wasting 推进儿童营养不良预测分析：具有均衡阶层分布的机器、集成和深度学习模型，用于早期发现发育迟缓和消瘦

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-08-14 DOI: 10.1016/j.hnm.2025.200340

Wisdom Richard Mgomezulu , Paul Thangata , Bertha Mkandawire , Nana Amoah

Child malnutrition remains a critical public health challenge in sub-Saharan Africa, with traditional surveillance methods proving inadequate for early detection and intervention. This study leverages advanced machine learning and deep learning techniques to revolutionize stunting and wasting prediction in Malawi, utilizing nationally representative World Bank's Living Standards Measurement Surveys (LSMS) data to develop robust predictive models capable of identifying at-risk children before clinical manifestations emerge. Seven classification algorithms were evaluated, including ensemble methods (Random Forest, XGBoost), Deep Neural Networks (DNN), and traditional approaches (SVM, Logistic Regression, KNN, Gradient Boosting). Class imbalance challenges were addressed through SMOTE implementation and strategic class weighting. Model performance was assessed using accuracy, precision, recall, F1-score, and AUC-ROC metrics across balanced datasets. Results demonstrate exceptional predictive capabilities, with Random Forest achieving perfect performance for wasting prediction (100 % accuracy, precision, recall, F1-score, and AUC-ROC) and near-perfect stunting classification (99.98 % accuracy). XGBoost demonstrated comparable excellence with 99.49 % accuracy for wasting and 95.52 % for stunting prediction. DNN showed strong performance (91.50 % wasting accuracy, 76.64 % stunting accuracy), while traditional methods exhibited moderate effectiveness, with logistic regression achieving the lowest performance (66.58 % wasting, 64.72 % stunting accuracy). These findings represent a paradigm shift toward proactive nutritional surveillance, enabling early identification of vulnerable populations through data-driven approaches. The superior performance of ensemble algorithms provides policymakers with powerful tools for evidence-based resource allocation and targeted interventions. Implementation of these predictive models within Malawi's health systems could significantly enhance early detection capabilities, facilitate timely nutritional interventions, and contribute substantially to achieving global nutrition targets while reducing childhood mortality rates.

儿童营养不良仍然是撒哈拉以南非洲的一个重大公共卫生挑战，传统的监测方法证明不足以早期发现和干预。本研究利用先进的机器学习和深度学习技术，彻底改变马拉维的发育迟缓和消瘦预测，利用具有全国代表性的世界银行生活水平测量调查（LSMS）数据，开发强大的预测模型，能够在临床表现出现之前识别出有风险的儿童。评估了7种分类算法，包括集成方法（Random Forest, XGBoost），深度神经网络（DNN）和传统方法（SVM， Logistic回归，KNN, Gradient Boosting）。通过SMOTE的实施和战略性的班级加权来解决班级失衡的挑战。使用平衡数据集的准确性、精密度、召回率、f1评分和AUC-ROC指标评估模型性能。结果显示出卓越的预测能力，随机森林在预测消瘦方面取得了完美的表现（100%的准确率、精度、召回率、f1得分和AUC-ROC），在发育不良分类方面取得了近乎完美的表现（99.98%的准确率）。XGBoost在预测消瘦和发育迟缓方面的准确率分别为99.49%和95.52%。深度神经网络表现出较强的效果（浪费准确率为91.50%，发育不良准确率为76.64%），而传统方法的效果一般，其中逻辑回归的效果最低（浪费准确率为66.58%，发育不良准确率为64.72%）。这些发现代表了向主动营养监测的范式转变，能够通过数据驱动的方法早期识别弱势群体。集成算法的卓越性能为决策者提供了强有力的工具，用于基于证据的资源分配和有针对性的干预。在马拉维卫生系统内实施这些预测模型可以大大提高早期发现能力，促进及时的营养干预，并为实现全球营养目标做出重大贡献，同时降低儿童死亡率。

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引用次数: 0

Type 2 diabetes risk prediction using glycemic control Metrics: A machine learning approach 使用血糖控制指标预测2型糖尿病风险：一种机器学习方法

IF 1.8 Q3 ENDOCRINOLOGY & METABOLISM

Human Nutrition and Metabolism

Pub Date : 2025-08-14 DOI: 10.1016/j.hnm.2025.200341

Radwan Qasrawi , Suliman Thwib , Ghada Issa , Razan Abu Ghoush , Malak Amro

Background

Type 2 Diabetes Mellitus (T2DM) remains a significant global health burden, particularly in low- and middle-income settings. Conventional prevention strategies often lack personalization, overlooking individual variability in lifestyle, nutrition, and health status. This study aimed to develop a personalized T2DM risk prediction model using machine learning (ML), integrating clinical, behavioral, and dietary data, including glycemic index (GI) and glycemic load (GL) derived from actual food and recipe intake.

Methods

Data from 3145 Palestinian adults (aged 18–60) were analyzed using statistical and machine learning (ML) techniques. Variables included age, sex, education, income, physical activity, smoking status, perceived health, and detailed nutritional intake, specifically glycemic index (GI) and glycemic load (GL). Nine ML models were developed using the AutoGluon-Tabular framework. Model performance was assessed via accuracy, area under the curve (AUC), and log loss. Feature importance analysis identified key predictors of T2DM risk.

Results

Women had significantly higher odds of diabetes than men, while rural residents had a lower risk compared to urban dwellers. People aged 50–59 were over six times more likely to be diabetic than those aged 18–29. Lower education and poor perceived health were also strong predictors. Diabetic participants consumed significantly lower GI (87.7 ± 36.1) and GL (241 ± 180.5) diets compared to non-diabetics (GI = 98.8 ± 35.5; GL = 303.3 ± 202.7; p = 0.001). Among the ML models, XGBoost and CatBoost performed best, with over 93 % accuracy and excellent prediction scores. Glycemic load, age, BMI, waist-to-hip ratio, and self-reported health status were the most important risk indicators.

Conclusion

This study showed the effectiveness of integrating machine learning with glycemic control metrics and lifestyle data for personalized T2DM prediction. Incorporating glycemic values from real food and recipe intake improved model accuracy and interpretability. These findings support the development of precision prevention strategies tailored to individual risk profiles, particularly in underserved populations.

背景2型糖尿病（T2DM）仍然是一个重大的全球健康负担，特别是在低收入和中等收入环境中。传统的预防策略往往缺乏个性化，忽视了生活方式、营养和健康状况的个体差异。本研究旨在利用机器学习（ML）建立一个个性化的T2DM风险预测模型，整合临床、行为和饮食数据，包括来自实际食物和食谱摄入量的血糖指数（GI）和血糖负荷（GL）。方法采用统计学和机器学习（ML）技术对3145名巴勒斯坦成年人（18-60岁）的数据进行分析。变量包括年龄、性别、教育程度、收入、体育活动、吸烟状况、感知健康和详细的营养摄入，特别是血糖指数（GI）和血糖负荷（GL）。使用AutoGluon-Tabular框架开发了9个ML模型。通过准确性、曲线下面积（AUC）和对数损失来评估模型的性能。特征重要性分析确定了T2DM风险的关键预测因素。结果女性患糖尿病的几率明显高于男性，而农村居民患糖尿病的风险低于城市居民。50-59岁的人患糖尿病的可能性是18-29岁人群的6倍多。受教育程度较低和健康状况不佳也是强有力的预测因素。与非糖尿病患者（GI = 98.8±35.5;GL = 303.3±202.7;p = 0.001）相比，糖尿病参与者的GI（87.7±36.1）和GL（241±180.5）饮食显著降低。在ML模型中，XGBoost和CatBoost表现最好，准确率超过93%，预测分数优异。血糖负荷、年龄、BMI、腰臀比和自我报告的健康状况是最重要的风险指标。结论本研究显示了将机器学习与血糖控制指标和生活方式数据相结合用于个性化T2DM预测的有效性。结合实际食物和食谱摄入的血糖值提高了模型的准确性和可解释性。这些发现支持制定针对个人风险概况的精确预防战略，特别是在服务不足的人群中。

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引用次数: 0