Sarcopenia, sarcopenic obesity and the clinical outcome of the older inpatients with COVID-19 infection: a prospective observational study.

OBJECTIVE: We aimed to investigate the impact of sarcopenia and sarcopenic obesity (SO) on the clinical outcome in older patients with COVID-19 infection and chronic disease. METHODS: We prospectively collected data from patients admitted to Huadong Hospital for COVID-19 infection between November 1, 2022, and January 31, 2023. These patients were included from a previously established comprehensive geriatric assessment (CGA) cohort. We collected information on their pre-admission condition regarding sarcopenia, SO, and malnutrition, as well as their medical treatment. The primary endpoint was the incidence of intubation, while secondary endpoints included in-hospital mortality rates. We then utilized Kaplan-Meier (K-M) survival curves and the log-rank tests to compare the clinical outcomes related to intubation or death, assessing the impact of sarcopenia and SO on patient clinical outcomes. RESULTS: A total of 113 patients (age 89.6 ± 7.0 years) were included in the study. Among them, 51 patients had sarcopenia and 39 had SO prior to hospitalization. Intubation was required for 6 patients without sarcopenia (9.7%) and for 18 sarcopenia patients (35.3%), with 16 of these being SO patients (41%). Mortality occurred in 2 patients without sarcopenia (3.3%) and in 13 sarcopenia patients (25.5%), of which 11 were SO patients (28%). Upon further analysis, patients with SO exhibited significantly elevated risks for both intubation (Hazard Ratio [HR] 7.43, 95% Confidence Interval [CI] 1.26-43.90, P < 0.001) and mortality (HR 6.54, 95% CI 1.09-39.38, P < 0.001) after adjusting for confounding factors. CONCLUSIONS: The prevalence of sarcopenia or SO was high among senior inpatients, and both conditions were found to have a significant negative impact on the clinical outcomes of COVID-19 infection. Therefore, it is essential to regularly assess and intervene in these conditions at the earliest stage possible.

Nutritional diet plan for patients with dysphagia.

BACKGROUND AND OBJECTIVES: To present a new method of text-modified food management for patients with dysphagia that integrates the idea of food exchange. In addition to prioritizing nutrition in each recipe, the diet plan emphasizes straightforward preparation methods that balance nutrition and palatability. METHODS AND STUDY DESIGN: On the basis of the recommended intake in the Expert Consensus, the design of the texture-modified food incorporates the concept of equivalent food exchange. The plan consists of a staple food, a meat, a vegetable, a snack, and a fruit as the base units, and the volume and nutrient density of each unit is modified to meet the needs of patients with dysphagia. RESULTS: Five categories of standard portions were established, the standard portion of staple foods, milk should be used instead of water during preparation, and carbohydrate components (dextrin) should be added so that each portion provides approximately 200 Kcal of energy. The standard portion of meat, protein components (90% whey) should be added to provide approximately 14 g of protein and 150 Kcal of energy per portion. Two types of standard snacks are recommended, each serving provides 250 Kcal of energy. Vegetables and fruits provide 70 Kcal and 90 Kcal of energy. We compiled 11 recipes representative of the food exchange system and our recipe design priorities (texture modification, sufficient nutrition, color, fragrance and taste). CONCLUSIONS: The method is combined theory and practice and can be applied to clinical nutrition work to promote the nutritional intake of patients with dysphagia.

Long non-coding RNA OGFRP1 regulates LYPD3 expression by sponging miR-124-3p and promotes non-small cell lung cancer progression.

Long noncoding RNA (OGFRP1) has been reported to be involved in the progression of non-small cell lung cancer (NSCLC). However, the expression pattern, functions and molecular mechanisms of OGFRP1 in NSCLC remains unclear. In the present study, we found that OGFRP1 expression was significantly up-regulated in both NSCLC tissues and cell lines, and the upregulation of OGFRP1 expression is a powerful predictor of advanced clinical stage, lymph nodes metastasis and poor prognosis for NSCLC patients. Loss-of-function assay indicated that knockdown of OGFRP1 inhibited proliferation, migration and invasion, and induced apoptosis in vitro. Mechanistically, OGFRP1 could directly bind to miR-124-3p and effectively act as a competing endogenous RNA (ceRNA) for miR-124-3p to promote the expression of the target gene LYPD3. Taken together, OGFRP1 contributed to progression of NSCLC at least partly through upregulating LYPD3 expression by sponging miR-124-3p, indicating that OGFRP1 may be a novel prognostic biomarker and therapeutic target in NSCLC.

Association of decreased spermatozoa omega-3 fatty acid levels and increased oxidative DNA damage with varicocele in infertile men: a case control study.

Varicocele is commonly associated with male infertility because it impairs normal sperm morphology and activity. Polyunsaturated fatty acids (PUFA) are important determinants of sperm cell structure and function, but their relationship with varicocele remains unclear. The aim of the present study was to investigate the PUFA composition in spermatozoa of infertile men with varicocele and to evaluate the potential relationship between PUFA and varicocele. This case control study recruited 92 infertile men with varicocele, 99 infertile men without varicocele and 95 fertile male control subjects. Semen morphology and activity parameters were assessed and seminal plasma 8-hydroxy-2-deoxyguanosine (8-OHdG) content was determined by ELISA. Sperm concentrations of omega-3 and omega-6 fatty acids were measured by gas chromatography. Infertile men with varicocele had lower concentrations of omega-3 PUFA, higher omega-6:omega-3 PUFA ratios and greater oxidative DNA damage in spermatozoa compared with infertile men without varicocele and normal subjects. The degree of varicocele and DNA damage was associated with decreased omega-3 PUFA concentrations and semen quality in infertile men with varicocele. The findings suggest that omega-3 PUFA deficiency could be implicated in varicocele-associated infertility, and highlight the need for intervention trials to test the usefulness of omega-3 supplementation in reducing sperm abnormalities in infertile men with varicocele.

A Novel Dynamic Operation Optimization Method Based on Multiobjective Deep Reinforcement Learning for Steelmaking Process.

This article studies a dynamic operation optimization problem for a steelmaking process. The problem is defined to determine optimal operation parameters that bring smelting process indices close to their desired values. The operation optimization technologies have been applied successfully for endpoint steelmaking, but it is still challenging for the dynamic smelting process because of the high temperature and complex physical and chemical reactions. A framework of deep deterministic policy gradient is applied to solve the dynamic operation optimization problem in the steelmaking process. Then, an energy-informed restricted Boltzmann machine method with physical interpretability is developed to construct the actor and critic networks in reinforcement learning (RL) for dynamic decision-making operations. It can provide a posterior probability for each action to guide training in each state. Furthermore, in terms of the design of neural network (NN) architecture, a multiobjective evolutionary algorithm is used to optimize the model hyperparameters, and a knee solution strategy is designed to balance the model accuracy and complexity of neural networks. Experiments are conducted on real data from a steelmaking production process to verify the practicability of the developed model. The experimental results show the advantages and effectiveness of the proposed method compared with other methods. It can meet the requirements of the specified quality of molten steel.

Comparative Genomics Reveal Phylogenetic Relationship and Chromosomal Evolutionary Events of Eight Cervidae Species.

Cervidae represents a family that is not only rich in species diversity but also exhibits a wide range of karyotypes. The controversies regarding the phylogeny and classification of Cervidae still persist. The flourishing development of the genomic era has made it possible to address these issues at the genomic level. Here, the genomes of nine species were used to explore the phylogeny and chromosomal evolutionary events of Cervidae. By conducting whole-genome comparisons, we identified single-copy orthologous genes across the nine species and constructed a phylogenetic tree based on the single-copy orthologous genes sequences, providing new insights into the phylogeny of Cervidae, particularly the phylogenetic relationship among sika deer, red deer, wapiti and Tarim red deer. Gene family analysis revealed contractions in the olfactory receptor gene family and expansions in the histone gene family across eight Cervidae species. Furthermore, synteny analysis was used to explore the chromosomal evolutionary events of Cervidae species, revealing six chromosomal fissions during the evolutionary process from Bovidae to Cervidae. Notably, specific chromosomal fusion events were found in four species of Cervus, and a unique chromosomal fusion event was identified in Muntiacus reevesi. Our study further completed the phylogenetic relationship within the Cervidae and demonstrated the feasibility of inferring species phylogeny at the whole-genome level. Additionally, our findings on gene family evolution and the chromosomal evolutionary events in eight Cervidae species lay a foundation for comprehensive research of the evolution of Cervidae.

Multiobjective Evolutionary Learning for Multitask Quality Prediction Problems in Continuous Annealing Process.

In industrial production processes, the mechanical properties of materials will directly determine the stability and consistency of product quality. However, detecting the current mechanical property is time-consuming and labor-intensive, and the material quality cannot be controlled in time. To achieve high-quality steel materials, developing a novel intelligent manufacturing technology that can satisfy multitask predictions for material properties has become a new research trend. This article proposes a multiobjective evolutionary learning method based on a two-stage model with topological sparse autoencoder (TSAE) and ensemble learning. For the structure characteristics of a typical autoencoder (AE), a topology-related constraint is incorporated into the loss function of the AE, thus maintaining the global relationship among multistage input data to improve the data reconstruction quality. Then, a sparse representation of the data is added to the AE to achieve dimensionality reduction. Moreover, the extreme gradient boosting (XGBoost) method is applied to predict the mechanical properties of steel materials through collaboration learning mechanisms. To enhance the model accuracy, a multiobjective evolutionary algorithm (MOEA) with a knee solution strategy is used to optimize the network structure and hyperparameters of the two-stage model. Experiments are conducted using real steel production data from a continuous annealing process (CAP). The results verify that the proposed method obtains a higher prediction accuracy than other state-of-the-art methods and can guide practical production and new material design.

Effects of a low-carbohydrate diet on weight loss and cardiometabolic profile in Chinese women: a randomised controlled feeding trial.

Little is known about the potential adherence to and the effectiveness of a low-carbohydrate (LC) diet on weight loss and cardiometabolic risk factors in Chinese adults with a habitually high carbohydrate intake. In the present controlled feeding trial, fifty overweight or obese women (age 47·9 (sem 0·9) years; BMI 26·7 (sem 0·3) kg/m²) were randomly assigned to a LC non-energy-restricted diet (initial carbohydrate intake 20 g/d, with a 10 g increase weekly) or an energy-restricted (ER) diet (carbohydrate intake 156-205 g/d, ER to 5021 or 6276 kJ/d, 35% average energy reduction) for 12 weeks. Over the intervention period, the two diets had comparable compliance (96%) and self-reported acceptability. At week 12, carbohydrate intake in the LC and ER groups contributed to 36·1 and 51·1% of total energy, respectively (P < 0·001). Although both diets showed similarly decreased mean body weight (LC - 5·27 (95% CI - 6·08, - 4·46) kg; ER - 5·09 (95% CI - 5·50, - 4·67) kg, P = 0·67) and percentage of fat mass measured by dual-energy X-ray absorptiometry (LC - 1·19 (95% CI - 1·88, - 0·50)%; ER - 1·56 (95% CI - 2·20, - 0·92)%, P = 0·42), participants in the LC group had greater reductions in the ratio of total cholesterol:HDL-cholesterol (P= 0·03) and also in the ratio of TAG:HDL-cholesterol (P = 0·01) than those in the ER group. The present 12-week diet trial suggested that both a LC non-energy-restricted diet and an ER diet were acceptable to Chinese women and both diets were equally effective in reducing weight and fat mass. Moreover, the LC diet showed beneficial effects on blood lipid profiles.

[Semen quality of normal fertile men].

OBJECTIVE: To study the semen quality of confirmed fertile men with the time to pregnancy (TTP) of 12 months or less, and analyze the correlation of semen parameters with TTP. METHODS: We recruited 1 152 men aged 18 -50 years and with TTP of 12 months. We used questionnaire investigation, physical examination and semen analysis, calculated the normal reference ranges of semen parameters, and analyzed the effects of TTP and other biological characteristics on semen quality. RESULTS: Seminal examinations showed that the semen volume was 1.5 ml, sperm concentration 17 million per ml, total sperm number 39 million per ejaculate, total sperm motility 41%, progressive sperm motility 33%, normal sperm morphology 5.0%, sperm vitality 53%, and total number of progressively motile sperm 17 million per ejaculate in the 1 152 subjects. In comparison, the total number of progressively motile sperm was significantly smaller in those aged > or = 35 years (P < 0.01), morphologically normal sperm were markedly less in those with BMI > 25.0 (P < 0.01), and sperm concentration, total number of sperm, morphologically normal sperm rate and total number of progressively motile sperm were remarkably lower in those with BMI < 18. 5 (P < 0.05). Cigarette smoking significantly reduced the sperm volume (P < 0.01), and drinking (> 10 g per week) decreased the sperm volume and the total numbers of sperm, morphologically normal sperm and progressively motile perm (P < 0.05). TTP was negatively correlated with sperm concentration, total number of sperm and total number of progressively motile sperm (P < 0.01). The subjects with sexual abstinence of 5 -7 days showed markedly higher sperm concentration, total number of sperm and total number of progressively motile sperm than others (P < 0.01). CONCLUSION: In normal fertile men, the fifth centile of semen parameters is close to the WHO normal reference range, TTP is negatively correlated with semen quality, and age, BMI and lifestyle may affect some of the semen parameters.

An Off-Policy Reinforcement Learning-Based Adaptive Optimization Method for Dynamic Resource Allocation Problem.

In this article, an adaptive optimization method is proposed for the dynamic resource allocation problem (RAP) with multiple objectives in the manufacturing industry. In the proposed method, a novel reinforcement learning method () is designed to adaptively set the weights for multiple objectives, and then the optimization method is adopted to generate the noninferior solutions in each time period. To ensure 's performance in dynamic and complex resource allocation environments, we develop a state-encoding network with a proposed information entropy attention mechanism to encode the state. Then, we introduce a new reward function to escape from the local optima of the policy and further present a conditional entropy policy to enhance the policy network. In addition, we demonstrate the feasibility of improving the quality of actions and present a boundary method for high-quality actions. We also introduce an optimization model to automatically adjust the temperature parameter in . Furthermore, we compare and analyze our approach with other state-of-the-art reinforcement learning methods. The experiments illustrate that outperforms state-of-the-art reinforcement learning methods. Moreover, can be generalized to solve optimization problems with two to five objectives, problems with linear, quadratic, cubic, logarithmic, or inverse objectives, and problems with diverse structures.

Improvement of Reinforcement Learning With Supermodularity.

Reinforcement learning (RL) is a promising approach to tackling learning and decision-making problems in a dynamic environment. Most studies on RL focus on the improvement of state evaluation or action evaluation. In this article, we investigate how to reduce action space by using supermodularity. We consider the decision tasks in the multistage decision process as a collection of parameterized optimization problems, where state parameters dynamically vary along with the time or stage. The optimal solutions of these parameterized optimization problems correspond to the optimal actions in RL. For a given Markov decision process (MDP) with supermodularity, the monotonicity of the optimal action set and the optimal selection with respect to state parameters can be obtained by using the monotone comparative statics. Accordingly, we propose a monotonicity cut to remove unpromising actions from the action space. Taking bin packing problem (BPP) as an example, we show how the supermodularity and monotonicity cut work in RL. Finally, we evaluate the monotonicity cut on the benchmark datasets reported in the literature and compare the proposed RL with some popular baseline algorithms. The results show that the monotonicity cut can effectively improve the performance of RL.

Role of Mitophagy in Regulating Intestinal Oxidative Damage.

The mitochondrion is also a major site for maintaining redox homeostasis between reactive oxygen species (ROS) generation and scavenging. The quantity, quality, and functional integrity of mitochondria are crucial for regulating intracellular homeostasis and maintaining the normal physiological function of cells. The role of oxidative stress in human disease is well established, particularly in inflammatory bowel disease and gastrointestinal mucosal diseases. Oxidative stress could result from an imbalance between ROS and the antioxidative system. Mitochondria are both the main sites of production and the main target of ROS. It is a vicious cycle in which initial ROS-induced mitochondrial damage enhanced ROS production that, in turn, leads to further mitochondrial damage and eventually massive intestinal cell death. Oxidative damage can be significantly mitigated by mitophagy, which clears damaged mitochondria. In this review, we aimed to review the molecular mechanisms involved in the regulation of mitophagy and oxidative stress and their relationship in some intestinal diseases. We believe the reviews can provide new ideas and a scientific basis for researching antioxidants and preventing diseases related to oxidative damage.

LncRNA LINC01833 is a Prognostic Biomarker and Correlates with Immune Infiltrates in Patients with Lung Adenocarcinoma by Integrated Bioinformatics Analysis.

Due to the absence of accurate tools for early detection and successful treatment, lung adenocarcinoma (LUAD) is one of the most aggressive tumors with high morbidity and mortality globally. It is absolutely necessary to investigate the process behind its development and search for new biomarkers that could aid in the early detection of LUAD. There is a correlation between the immune microenvironment of the tumor and the prognosis of lung cancer as well as the efficacy of immunotherapy. Long noncoding RNAs (lncRNAs) have been identified as potential prognostic biomarkers linked to immunological activities. In this study, we identified 1 downregulated lncRNA and 76 upregulated lncRNAs in LUAD samples from TCGA datasets. Among the 77 dysregulated lncRNAs, our attention focused on lncRNA LINC01833 (LINC01833). When compared with nontumor specimens, the level of expression of LINC01833 was shown to be significantly elevated in LUAD samples. In addition, the data of the ROC study revealed that LUAD patients with high LINC01833 expression had an AUC value of 0.840 (95% confidence interval: 0.804 to 0.876). There was a correlation between high LINC01833 expression and an advanced clinical stage. Patients who had a high expression of LINC01833 were shown to have a lower overall survival rate (p < 0.001) and a lower disease-specific survival rate (p = 0.004) in comparison to patients who were in the low LINC01833 group, according to the data on survival. In addition, the results of the multivariate analysis revealed that high LINC01833 expression was an independent predictor of poor survival in LUAD. Moreover, the immune analysis revealed that we found that the expression of LINC01833 was positively associated with Th2 cells, aDC, and Tgd, while negatively associated with Mast cells, Tcm, Eosinophils, iDC, DC, Tem, Th17 cells, and pDC. Overall, our data point to the possibility that the unique lncRNA LINC01833 might be employed as a diagnostic and prognostic marker, and as a result, it has a significant impact on clinical practice.

The First High-quality Reference Genome of Sika Deer Provides Insights into High-tannin Adaptation.

Sika deer are known to prefer oak leaves, which are rich in tannins and toxic to most mammals; however, the genetic mechanisms underlying their unique ability to adapt to living in the jungle are still unclear. In identifying the mechanism responsible for the tolerance of a highly toxic diet, we have made a major advancement by explaining the genome of sika deer. We generated the first high-quality, chromosome-level genome assembly of sika deer and measured the correlation between tannin intake and RNA expression in 15 tissues through 180 experiments. Comparative genome analyses showed that the UGT and CYP gene families are functionally involved in the adaptation of sika deer to high-tannin food, especially the expansion of the UGT family 2 subfamily B of UGT genes. The first chromosome-level assembly and genetic characterization of the tolerance to a highly toxic diet suggest that the sika deer genome may serve as an essential resource for understanding evolutionary events and tannin adaptation. Our study provides a paradigm of comparative expressive genomics that can be applied to the study of unique biological features in non-model animals.

A Memetic Algorithm Based on Probability Learning for Solving the Multidimensional Knapsack Problem.

The multidimensional knapsack problem (MKP) is a well-known combinatorial optimization problem with many real-life applications. In this article, a memetic algorithm based on probability learning (MA/PL) is proposed to solve MKP. The main highlights of this article are two-fold: 1) problem-dependent heuristics for MKP and 2) a novel framework of MA/PL. For the problem-dependent heuristics, we first propose two kinds of logarithmic utility functions (LUFs) based on the special structure of MKP, in which the profit value and weight vector of each item are considered simultaneously. Then, LUFs are applied to effectively guide the repair operator for infeasible solutions and the local search operator. For the framework of MA/PL, we propose two problem-dependent probability distributions to extract the special knowledge of MKP, that is, the marginal probability distribution (MPD) of each item and the joint probability distribution (JPD) of two conjoint items. Next, learning rules for MPD and JPD, which borrow ideas from competitive learning and binary Markov chain, are proposed. Thereafter, we generate MA/PL's offspring by integrating MPD and JPD, such that the univariate probability information of each item as well as the dependency of conjoint items can be sufficiently used. Results of experiments on 179 benchmark instances and a real-life case study demonstrate the effectiveness and practical values of the proposed MKP.

A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace.

In the blast furnace ironmaking process, accurate prediction of silicon content in molten iron is of great significance for maintaining stable furnace conditions, improving hot metal quality, and reducing energy consumption. However, most of the current research works employ linear correlation coefficient methods to select input features in modeling, which may not fully take the nonlinear and coupling relationships between features into account. Therefore, this article considers the input feature selection issue of silicon content prediction model from a new perspective and proposes a multiobjective evolutionary nonlinear ensemble learning model with evolutionary feature selection mechanism (MOENE-EFS), in which extreme learning machine is adopted as the base learner. MOENE-EFS takes the input feature scheme of each base learner as well as their network structure and parameters as decision variables and proposes a modified nondominated sorting differential evolution algorithm to optimize two conflicting objectives, i.e., accuracy and diversity of base learners, simultaneously. Through the optimization, a set of Pareto optimal base learners with high accuracy and strong diversity can be obtained. Moreover, different from the linear ensemble methods commonly used in classical evolutionary ensemble learning, this article proposes a nonlinear ensemble method to combine the obtained base learners based on differential evolution. Experimental results indicate that the two proposed strategies, i.e., evolutionary feature selection and nonlinear ensemble, are very effective in improving the accuracy and stability of the prediction model. MOENE-EFS also outperforms the other prediction models in both benchmark data and practical industrial data. Furthermore, analysis on the input features of all Pareto optimal base learners shows that the evolutionary feature selection is capable of selecting essential features and is consistent with human experience, which indicates it is a promising method to deal with the input feature selection issue in silicon content prediction.

Current Situation and Utilization of Velvet Deer Germplasm Resources in China.

Velvet deer are not only a representative special economic animal but also an important part of livestock. With the increasing awareness of international competition for germplasm resources in China, more and more attention has been paid to the protection and utilization of germplasm resources. However, there is poor understanding about velvet deer resources. Therefore, we are providing a comprehensive introduction of Chinese velvet deer germplasm resources from the aspects of ecological distribution, domestication and breeding.

Pectin supplementation ameliorates intestinal epithelial barrier function damage by modulating intestinal microbiota in lipopolysaccharide-challenged piglets.

During weaning, infants and young animals are susceptible to severe enteric infections, thus inducing intestinal microbiota dysbiosis, intestinal inflammation, and impaired intestinal barrier function. Pectin (PEC), a prebiotic polysaccharide, enhances intestinal health with the potential for a therapeutic effect on intestinal diseases. One 21-d study was conducted to investigate the protective effect of pectin against intestinal injury induced by intraperitoneal injection of Escherichia coli lipopolysaccharide (LPS) in a piglet model. A total of 24 piglets (6.77±0.92 kg BW; Duroc × Landrace × Large White; barrows; 21 d of age) were randomly assigned into three groups: control group, LPS-challenged group, and PEC + LPS group. Piglets were administrated with LPS or saline on d14 and d21 of the experiment. All piglets were slaughtered and intestinal samples were collected after 3 h administration on d21. Pectin supplementation ameliorated the LPS-induced inflammation response and damage to the ileal morphology. Meanwhile, pectin also improved intestinal mucin barrier function, increased the mRNA expression of MUC2, and improved intestinal mucus glycosylation. LPS challenge reduced the diversity of intestinal microbiota and enriched the relative abundance of Helicobacter. Pectin restored alpha diversity and improved the structure of the gut microbiota by enriching anti-inflammatory bacteria and short-chain fatty acids (SCFAs)-producing bacteria, and increased the concentrations of acetate. In addition, Spearman rank correlation analysis also revealed the potential relationship between intestinal microbiota and intestinal morphology, intestinal inflammation, and intestinal glycosylation in piglets. Taken together, these results indicate that pectin enhances intestinal integrity and barrier function by altering intestinal microbiota composition and their metabolites, which subsequently alleviates intestinal injury and finally improves the growth performance of piglets.

Dendrobium nobile-derived polysaccharides ameliorate spermatogenic disorders in mice with streptozotocin-induced diabetes through regulation of the glycolytic pathway.

Dysfunction of spermatogenesis is a major complication of diabetes mellitus (DM). This study characterized the protective effects of Dendrobium nobile-derived polysaccharides (DNP) against spermatogenetic dysfunction in mice with streptozotocin (STZ)-induced diabetes. The diabetic mice had lower body and testicular mass, and fewer spermatozoa with a higher incidence of malformation. The testicular histology showed disordered narrow seminiferous tubules covering a smaller area, and fewer spermatogenic cells. Moreover, the qRT-PCR analysis indicated that DM was associated with high expression of the pro-apoptotic factor Bax and low expression of the anti-apoptotic factor Bcl-2 in the testes. The qRT-PCR and immunohistochemical analysis clarified that DM was also associated with low testicular expression of the Sertoli cell (SC) markers GATA-4, WT1, and vimentin, and genes encoding the glycolytic rate-limiting enzymes LDHA, PKM2, and HK2. DNP treatment increased the body and testicular masses, sperm count, and number of spermatogenic cells of the mice, and reduced the proportion of abnormal sperm. DNP also reduced the expression of Bax, and increased that of Bcl-2, GATA-4, WT1, vimentin, LDHA, PKM2, and HK2, in the testes of the diabetic mice. Thus, DNP protects against spermatogenic dysfunction in diabetic mice by inhibiting apoptosis and activating the glycolytic pathway in their testes.

Substituting white rice with brown rice for 16 weeks does not substantially affect metabolic risk factors in middle-aged Chinese men and women with diabetes or a high risk for diabetes.

Epidemiologic studies have suggested that higher consumption of white rice (WR) is associated with increased risk for type 2 diabetes mellitus. However, it is unclear whether substituting brown rice (BR) for WR can improve metabolic risk factors. A total of 202 middle-aged adults with diabetes or a high risk for diabetes were randomly assigned to a WR (n = 101) or BR group (n = 101) and consumed the rice ad libitum for 16 wk. Metabolic risk markers, including BMI, waist circumference, blood pressure, glycated hemoglobin, and serum lipid, glucose, and insulin concentrations were measured before and after the intervention. Over the course of the intervention, no between-group differences were found for any markers except the serum LDL cholesterol concentration, which decreased more in the WR group compared to the BR group (P = 0.02). However, this effect was observed only among participants with diabetes (n = 47). The reversion rate of reduced serum HDL cholesterol was marginally higher in the BR group (14.9%) than in the WR group (6.9%) (P = 0.07). Among participants with diabetes, a greater reduction in diastolic blood pressure was observed in the BR group compared to the WR group (P = 0.02). Our study suggests that incorporating BR into the daily diet for 16 wk did not substantially improve metabolic risk factors. Further studies with larger sample sizes, longer durations of follow-up, and different varieties of rice are needed to carefully examine the role of BR in the prevention and management of diabetes.