Cooked Rice Textural Properties and Starch Physicochemical Properties from New Hybrid Rice and Their Parents

Although great progress has been made in the development of hybrid rice with increased yield, challenges for the improvement of grain quality still remain. In this study, the textural properties of cooked rice and physicochemical characteristics of starch were investigated for 29 new hybrid rice derived from 5 sterile and 11 restorer rice lines. Except for one sterile line Te A (P1) with high apparent amylose content (AAC) (26.9%), all other parents exhibited a low AAC. Gui 263 demonstrated the highest AAC (20.6%) among the restorer lines, so the Te A/Gui 263 hybrid displayed the highest AAC (23.1%) among all the hybrid rice. The mean AAC was similar between sterile, restorer lines and hybrid rice. However, the mean hardness of cooked rice and gels of sterile lines were significantly higher than that of restorer lines and hybrid rice (p < 0.05). Pasting temperature and gelatinization temperatures were significantly higher in the hybrids than in the restorer lines (p < 0.05). Cluster analysis based on the physicochemical properties divided the parents and hybrid rice into two major groups. One group included P1 (Te A), P12 and P14 and three hybrid rice derived from P1, while the other group, including 39 rice varieties, could be further divided into three subgroups. AAC showed significant correlation with many parameters, including peak viscosity, hot peak viscosity, cold peak viscosity, breakdown, setback, onset temperature, peak temperature, conclusion temperature, enthalpy of gelatinization, gel hardness and cooked rice hardness (p < 0.05). Principal component analysis revealed that the first component, comprised of the AAC, peak viscosity, breakdown, setback, onset temperature, peak temperature, conclusion temperature and gel hardness, explained 44.1% of variance, suggesting AAC is the most important factor affecting the grain quality of hybrid rice. Overall, this study enables targeted improvements to key rice grain quality attributes, particularly AAC and textural properties, that will help to develop superior rice varieties.

Saturation of Fishbone Instability by Self-Generated Zonal Flows in Tokamak Plasmas

Gyrokinetic simulations of the fishbone instability in DIII-D tokamak plasmas find that self-generated zonal flows can dominate the nonlinear saturation by preventing coherent structures from persisting or drifting in the energetic particle phase space when the mode frequency down-chirps. Results from the simulation with zonal flows agree quantitatively, for the first time, with experimental measurements of the fishbone saturation amplitude and energetic particle transport. Moreover, the fishbone-induced zonal flows are likely responsible for the formation of an internal transport barrier that was observed after fishbone bursts in this DIII-D experiment. Finally, gyrokinetic simulations of a related ITER baseline scenario show that the fishbone induces insignificant energetic particle redistribution and may enable high performance scenarios in ITER burning plasma experiments.

Intelligent identification of fragmented non-magnetic materials for end-of-life refrigerator recycling

E-waste is a valuable secondary resource containing numerous toxic substances and high-value components. If improperly handled, it will cause severe environmental pollution. Therefore, efficient recycling of this material can reduce environmental pollution. However, after crushing, fine crushing, and magnetic separation, a substantial quantity of fragmented non-magnetic materials with high value, such as copper andg aluminum, remain. Refrigerators, as typical e-waste, have a similar composition to fragmented non-magnetic materials. Consequently, this paper focuses on the issues of low efficiency, environmental pollution, and resource waste in sorting fragmented non-magnetic materials from waste refrigerators. This paper constructs a data set of fragmented non-magnetic materials of refrigerators, augments the data set, and identifies fragmented non-magnetic materials of refrigerators using a computer vision-based deep learning method. In this study, YOLOv5s is used as the benchmark model. The CBAM module is added to the backbone to enable intelligent identification and sorting of fragmented non-magnetic materials in refrigerators. The final identification efficiency of waste refrigerators meets the requirements of industrial applications, with an accuracy rate of 98.3%, a recall rate of 96.8%, and an average accuracy of 98%. Based on the similarity of the composition of e-waste fragmented materials, this model sorting method can be applied to sorting additional e-waste fragmented materials. Furthermore, it provides the theoretical foundation for promoting e-waste resourcefulness.Implications: This paper proposes a recognition model based on YOLOv5s to solve the problems of low sorting efficiency, environmental pollution, harm to health, and resource waste of non-magnetic crushed material from refrigerators. The recognition model principally addresses the following issues: a deep learning model is developed for recognition and sorting to improve e-waste recognition and sorting efficiency. Concerning the issue of environmental benefits in an ecological environment, a vision-based automatic identification method is proposed to sort harmful waste, such as foam, to preserve the ecological environment. In response to the problem of resource waste, this project improves the purity of precious metals, resulting in a recovery rate of 99.1% for copper and 96.44% for aluminum. In other words, the cost of recovering metals has increased. The identification model of non-magnetic crushed material in refrigerators satisfies production identification and sorting requirements. In addition, the method has application and promotion value, sorting a theoretical foundation and method for identifying and classifying e-waste.

Molecular Research for Cereal Grain Quality

Cereals such as wheat (Triticum aestivum L [...].

Applying artificial intelligence algorithm in the design of a guide plate for mandibular angle ostectomy

PURPOSE

Surgical guide plates can improve the accuracy of surgery, although their design process is complex and time-consuming. This study aimed to use artificial intelligence (AI) to design standardized mandibular angle ostectomy guide plates and reduce clinician workload.

METHODS

An intelligence algorithm was designed and trained to design guide plates, with a safety-ensuring penalty factor added. A single-center retrospective cohort study was conducted to test the algorithm among patients who had visited our hospital between 2020 and 2021 for mandibular angle ostectomy. We included patients diagnosed with mandibular angle hypertrophy and excluded those combined with other facial malformations. The guide plate design method acted as the primary predictor, which was AI algorithm vs. experienced residents. Moreover, the symmetry of plate-guided ostectomy was chosen as the primary outcome. The safety, shape, location, effectiveness, and design duration of the guide plate were also recorded. The independent samples t-test and Pearson's chi-squared test were used and P-values < 0.05 were considered significant.

RESULTS

Fifty patients (7 men, 43 women; 27 ± 4 years) were included. The two groups differed significantly in terms of safety (7.02 vs. 5.25, P < 0.05) and design duration (24.98 vs. 1685.08, P ＜ 0.05). The ostectomy symmetry and shape, location, and effectiveness of the guide plates did not differ significantly between the two groups.

CONCLUSIONS

The intelligent algorithm can improve safety and save time for guide plate design, ensuring other quality of the guide plates. It has good potential applicability in accurate mandibular angle ostectomy.

[The comparison of modified ESUR score and Mehralivand grade based on biparametric MRI for assessing extracapsulare extension in prostate cancer]

Objective: To compare the value of the modified European Society of Urogenital Radiology (ESUR) score and Mehralivand grade based on biparametric MRI (bpMRI) in the assessment of extracapsular extension (ECE) in patients with prostate cancer (PCa). Methods: Data of 235 patients with postoperative pathology confirmed PCa, who underwent preoperative 3.0 T bpMRI examinations between March 2019 and March 2022 in the First Affiliated Hospital of Soochow University were retrospectively evaluated, including 107 ECE positive and 128 ECE negative cases, aged [M (Q₁, Q₃)] [71 (66, 75)] years. Reader 1 and 2 assessed the ECE using the modified ESUR score and Mehralivand grade, and the receiver operating characteristic curve and Delong test were used to evaluate the performance of the two scoring methods. Then, the statistically significant variables were included in multivariate binary logistics regression analysis to obtain the risk factors, which were combined with the scores of reader 1 to establish combined models. The assessment ability of the two combined models and the two scoring methods were compared subsequently. Results: The AUC of Mehralivand grade in reader 1 were higher than that of the modified ESUR score in reader 1 and 2 [0.746 (95%CI: 0.685-0.800) vs 0.696 (95%CI: 0.633-0.754) and 0.691 (95%CI: 0.627-0.749), both P<0.05]. The AUC of Mehralivand grade in reader 2 was higher than that of the modified ESUR score in reader 1 and 2 [0.753 (95%CI: 0.693-0.807) vs 0.696 (95%CI: 0.633-0.754) and 0.691 (95%CI: 0.627-0.749), both P<0.05]. The AUC of the combined model 1 based on the modified ESUR score and the combined model 2 based on Mehralivand grade were higher than that in the separate modified ESUR score [0.826 (95%CI: 0.773-0.879) and 0.841 (95%CI: 0.790-0.892) vs 0.696 (95%CI: 0.633-0.754), both P<0.001], and also higher than that in the separate Mehralivand grade [0.826 (95%CI: 0.773-0.879) and 0.841 (95%CI: 0.790-0.892) vs 0.746 (95%CI: 0.685-0.800), both P<0.05]. Conclusion: Based on bpMRI, the Mehralivand grade showed better diagnostic performance for assessing ECE preoperatively in patients with PCa than the modified ESUR score. The combination model of scoring methods and clinical variables can further enhance the diagnostic certainty in the assessment of ECE.

[The value of machine learning models based on biparametric MRI for diagnosis of prostate cancer and clinically significant prostate cancer]

Objective: To evaluate the value of machine learning (ML) models based on biparametric magnetic resonance imaging (bpMRI) for diagnosis of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). Methods: A total of 1 368 patients, aged from 30 to 92 (69.4±8.2) years, from 3 tertiary medical centers in Jiangsu Province were retrospectively collected from May 2015 to December 2020, including 412 cases of csPCa, 242 cases of clinically insignificant prostate cancer (ciPCa) and 714 cases of benign prostate lesions. The data of center 1 and center 2 were randomly divided into training cohort and internal testing cohort at a ratio of 7∶3 by random number sampling without replacement using Python Random package, and the data of center 3 were used as the independent external testing cohort. The training cohort includs 243 cases of csPCa, 135 cases of ciPCa and 384 cases of benign lesions, the internal testing cohort includs 104 cases of csPCa, 58 cases of ciPCa and 165 cases of benign lesions, and the external testing cohort includs 65 cases of csPCa, 49 cases of ciPCa and 165 cases of benign lesions. The radiomics features were extracted on T₂-weighted imaging, diffusion-weighted imaging and apparent diffusion coefficient map, and optimal radiomics features were selected by using Pearson correlation coefficient method and analysis of variance. The ML models were built using two ML algorithms, including support vector machine and random forest (RF) and were further tested in the internal testing cohort and external testing cohort. Finally, the PI-RADS scores evaluated by the radiologists were adjusted by the ML models which had superior diagnostic performance, namely adjusted PI-RADS. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the ML models and PI-RADS. DeLong test was used to compare the areas under curve (AUC) of models with those of PI-RADS. Results: For PCa diagnosis, in internal testing cohort, the AUC of ML model using RF algorithm and PI-RADS were 0.869 (95%CI: 0.830-0.908) and 0.874 (95%CI: 0.836-0.913), respectively, and the difference between the model and PI-RADS did not reach to the statistical significance (P=0.793). In the external testing cohort, the AUC of model and PI-RADS were 0.845 (95%CI: 0.794-0.897) and 0.915 (95%CI: 0.880-0.951), respectively, and the difference was statistically significant (P=0.01). For csPCa diagnosis, the AUC of ML model using RF algorithm and PI-RADS were 0.874 (95%CI: 0.834-0.914) and 0.892 (95%CI: 0.857-0.927), respectively, in internal testing cohort, and the difference between the model and PI-RADS was not statistically significant (P=0.341). In the external testing cohort, the AUC of model and PI-RADS were 0.876 (95%CI: 0.831-0.920) and 0.884 (95%CI: 0.841-0.926), respectively, and the difference between the model and PI-RADS was not statistically significant (P=0.704). When PI-RADS assessment was adjusted with the assistance of ML models, the specificities increased from 63.0% to 80.0% in the internal testing cohort and from 92.7% to 93.3% in the external test group in diagnosing PCa. In diagnosing csPCa, the specificities increased from 52.5% to 72.6% in the internal testing cohort and from 75.2% to 79.9% in the external testing cohort. Conclusions: The ML models based on bpMRI showed comparable diagnostic performance to PI-RADS assessed by senior radiologists and achieved good generalization ability in both diagnosing PCa and csPCa. The specificities of the PI-RADS were improved by ML models.

A digital twin-driven flexible scheduling method in a human-machine collaborative workshop based on hierarchical reinforcement learning

Under the influence of the global COVID-19 pandemic, the demand for medical equipment and epidemic prevention materials has increased significantly, but the existing production lines are not flexible and efficient enough to dynamically adapt to market demand. The human-machine collaboration system combines the advantages of humans and machines, and provides feasibility for implementing different manufacturing tasks. With dynamic adjustment of robots and operators in the production line, the flexibility of the human-machine collaborative production line can be further improved. Therefore, a parallel production line is set up as a parallel community, and the digital twin community model of the intelligent workshop is constructed. The fusion and interaction between the production communities enhance the production flexibility of the manufacturing shop. Aiming at the overall production efficiency and load balancing state, a digital twin-driven intra-community process optimization algorithm based on hierarchical reinforcement learning is proposed, and as a key framework to improve the production performance of production communities, which is used to optimize the proportion of human and machine involvement in work. Finally, taking the assembly process of ventilators as an example, it is proved that the intelligent scheduling strategy proposed in this paper shows stronger adjustment ability in response to dynamic demand as well as production line changes.

[Clinical features of IgG4-related lung disease]

Objective: To explore the clinical features of IgG4-related lung disease. Methods: The clinical data of 60 patients diagnosed with IgG4-related lung disease in Peking University People's Hospital from February 2012 to May 2021 were retrospectively collected. Analysis was made to explore the features of clinical manifestation, laboratory, imaging, prognosis and other characteristics of the disease. Results: A total of 60 patients were included, with 40 males, age of (58.2±12.9) years, an age of onset of (57.1±13.2) years, and 31.7% (19 cases) of the patients had a history of allergic disease. 36.7% (22 cases) of the patients had respiratory symptoms during the disease. 94.6% (53/56) of patients had serum IgG4>1.35 g/L, 24.1% (14/58) of patients had increased eosinophils, 79.2% (38/48) of patients had increased IgE level, and 53.7% (29/54) of patients had decreased C3 or C4. Common imaging findings included nodular changes (38 cases, 63.3%), mediastinal and/or hilar lymphadenopathy (34 cases, 56.7%), and ground glass opacities (31 cases, 51.7%). Fifty-three cases (88.3%) showed two or more imaging changes. The pathological examination of the patient was mainly characterized by lymphoplasmacytic infiltration and fibrosis, with only one case of phlebitis obliterans. Compared with the asymptomatic group (38 cases), patients with respiratory symptoms (22 cases) showed higher level of serum total IgG and eosinophils (43.2 vs 17.8 g/L, 0.30×10⁹/L vs 0.14×10⁹/L, P<0.05), lower proportion of allergic diseases, and higher proportion of consolidation shadows on chest CT (P<0.05). There were no significant differences in serum IgG4, IgE, complement levels, and imaging outcomes after treatment between the two groups (P>0.05). Conclusions: The clinical manifestations of IgG4-related lung disease are atypical, and asymptomatic patients account for a high proportion. The imaging of the disease is highly heterogeneous, and patients are prone to show coexisted multiple imaging changes. The main clinical features and imaging outcomes of patients with and without respiratory symptoms are not significantly different.

Correction: Ying et al. Dynamic Change in Starch Biosynthetic Enzymes Complexes during Grain-Filling Stages in BEIIb Active and Deficient Rice. Int. J. Mol. Sci. 2022, 23, 10714

In the original publication [...].

In vitro fecal fermentation characteristics of mutant rice starch depend more on amylose content than crystalline structure

To obtain the relation between rice starch features and fermentation characteristics, rice starches with various polymorphic types and apparent amylose contents were subjected to in vitro fecal fermentation. Gas and short-chain fatty acid production was evaluated as a function of fermentation time, and the microbial responses were monitored by 16S rRNA sequencing technique at the end of fermentation. Regardless of polymorphic type, three high-amylose mutant rice starches (i.e., GM03, A-type; BP577, B-type; Wx21TT, C-type) displayed significantly slower fermentation rate during the first 12 h and higher final butyrate yield (17.6-17.9 mM) compared to the A-type normal starches (9311 and Wx22TT), and promoted the proliferation of Roseburia. However, A-type normal rice starches presented higher propionate production, and increased the growth of Bacteroides and Megamonas. The principal component and redundancy analyses indicated that three high-amylose mutant rice starches showed similar abundance and migration of microbial communities, and the apparent amylose content was closely correlated with the abundance of their five key amplicon sequence variants. Our results demonstrated that amylose content might be a controlling factor in determining the fermentation properties of rice starches than crystalline structure.

Identification of a new allele of soluble starch synthase IIIa involved in the elongation of amylopectin long chains in a chalky rice mutant

A chalky endosperm mutant (GM03) induced from an indica rice GLA4 was used to investigate the functional gene in starch biosynthesis. Bulked segregant analysis and sanger sequencing determined that a novel mutation in soluble starch synthase IIIa (SSIIIa) is responsible for the chalky phenotype in GM03. Complementary test by transforming the active SSIIIa gene driven by its native promoter to GM03 recovered the phenotype to its wildtype. The expression of SSIIIa was significantly decreased, while SSIIIa protein was not detected in GM03. The mutation of SSIIIa led to increased expression of most of starch synthesis related genes and elevated the levels of most of proteins in GM03. The CRISPR/Cas9 technology was used for targeted disruption of SSIIIa, and the mutant lines exhibited chalky endosperm which phenocopied the GM03. Additionally, the starch fine structure in the knockout mutant lines ss3a-1 and ss3a-2 was similar with the GM03, which showed increased amylose content, higher proportions of B1 and B2 chains, much lower proportions of B3 chains and decreased degree of crystallinity, leading to altered thermal properties with lower gelatinization temperature and enthalpy. Collectively, these results suggested that SSIIIa plays an important role in starch synthesis by elongating amylopectin long chains in rice.

[Analysis of clinical and pathological features of chronic hepatitis B combined with metabolic-associated fatty liver disease]

Objective: To analyze the clinical and histopathological features of patients with chronic hepatitis B (CHB) combined with metabolic-associated fatty liver disease (MAFLD). Methods: Clinical data of 529 cases who had liver biopsies at the First Affiliated Hospital of Zhengzhou University between January 2015 and October 2021 were collected. Among them were 290 cases with CHB, 155 cases with CHB combined with MAFLD, and 84 cases with MAFLD. Three groups of patients clinical data, including general information, biochemical indicators, FibroScan indicators, viral load, and histopathology, were analyzed. A binary logistic regression analysis was used to explore the factors influencing MAFLD in patients with CHB. Results: (1) Age, male status, proportion of hypertension and diabetes, body mass index, fasting blood glucose, γ-glutamyl transpeptidase, low-density lipoprotein, cholesterol, triglycerides, uric acid, creatinine, and the controlled attenuation parameter for hepatic steatosis were higher in CHB combined with MAFLD than in CHB patient groups. In contrast, the high-density lipoprotein, HBeAg positivity rate, viral load level, and liver fibrosis grade (S stage) were lower in CHB patients, and the differences were statistically significant (P < 0.05). (2) Alanine aminotransferase, aspartate aminotransferase, γ-glutamyl transpeptidase, triglycerides, uric acid, creatinine, and the controlled attenuation parameter for hepatic steatosis in CHB combined with the MAFLD were lower than those in MAFLD patient groups, while high-density lipoprotein was higher than that of MAFLD patients, and the difference was statistically significant (P < 0.05). There was no statistically significant difference in the grade of liver inflammation and fibrosis (GS stage) between the two groups (P > 0.05). Binary multivariate logistic regression analysis showed that overweight/obesity, triglycerides, low-density lipoprotein, the controlled attenuation parameter for hepatic steatosis, and HBeAg positivity were independent influencing factors for MAFLD in CHB patients. Conclusion: Patients with CHB combined with metabolic disorders are prone to developing MAFLD, and there is a certain correlation between HBV viral factors, the degree of liver fibrosis, and the fatty degeneration of hepatocytes.

Emotional responses of piglets under long-term exposure to negative and positive auditory stimuli

The stress caused by sound is inevitable. The stress caused by noise and the positive effects of music can affect the endocrine of animals and their welfare. In this study, a total of 72 hybrid piglets (Large White × Duroc × Min pig) were randomly divided into 3 groups, including music (Mozart K.448, 60-70 dB), noise (recorded mechanical noise, 80-85 dB), and control (natural background sound, <40 dB) groups. S-IgA (secretory immunoglobulin A), IL-6 (interleukin-6), IL-8 (interleukin-8), and positive emotion-related behaviors were used as indicators to discuss whether noise induced stress and inflammation in piglets or whether music could have positive effects. Six hours of auditory exposure were given daily (10:00-16:00), which lasted for 56 days. Behavioral responses of the piglets were observed, and the concentrations of salivary S-IgA and serum IL-6 and IL-8 were measured. The results showed that the concentration of S-IgA increased in the noise and control groups on the 57th day (P < 0.05); S-IgA concentration in the music group was unchanged after long-term music exposure. The concentrations of IL-6 and IL-8 showed that long-term noise exposure might lead to stress and inflammation in piglets. Tail-wagging and play behaviors of the piglets in the music group were significantly greater than those in the noise and control groups, which implied that long-term music exposure improved the emotional state of the piglets in a restricted and barren environment.

Combined Effects of BEIIb and SSIIa Alleles on Amylose Contents, Starch Fine Structures and Physicochemical Properties of Indica Rice

Starch branching enzyme IIb (BEIIb) and soluble starch synthase IIa (SSIIa) play important roles in starch biosynthesis in cereals. Deficiency in the BEIIb gene produces the amylose extender (ae) mutant rice strain with increased amylose content (AC) and changes in the amylopectin structure. The SSIIa gene is responsible for the genetic control of gelatinization temperature (GT). The combined effects of BEIIb and SSIIa alleles on the AC, fine structures, and physicochemical properties of starches from 12 rice accessions including 10 recombinant inbred lines (RIL) and their two parents were examined in this study. Under the active BEIIb background, starches with the SSIIa-GC allele showed a higher GT than those with the SSIIa-TT allele, resulting from a lower proportion of A chain and a larger proportion of B1 chains in the amylopectin of SSIIa-GC. However, starch with the BEIIb mutant allele (be2b) in combination with any SSIIa genotype displayed more amylose long chains, higher amylose content, B2 and B3 chains, and molecular order, but smaller relative crystallinity and proportion of amylopectin A and B1 chains than those with BEIIb, leading to a higher GT and lower paste viscosities. These results suggest that BEIIb is more important in determining the structural and physicochemical properties than SSIIa. These results provide additional insights into the structure-function relationship in indica rice rather than that in japonica rice and are useful for breeding rice with high amylose content and high resistant starch.

Dynamic Change in Starch Biosynthetic Enzymes Complexes during Grain-Filling Stages in BEIIb Active and Deficient Rice

Starch is the predominant reserve in rice (Oryza sativa L.) endosperm, which is synthesized by the coordinated efforts of a series of starch biosynthetic-related enzymes in the form of a multiple enzyme complex. Whether the enzyme complex changes during seed development is not fully understood. Here, we investigated the dynamic change in multi-protein complexes in an indica rice variety IR36 (wild type, WT) and its BEIIb-deficient mutant (be2b) at different developmental stages. Gel permeation chromatography (GPC) and Western blotting analysis of soluble protein fractions revealed most of the enzymes except for SSIVb were eluted in smaller molecular weight fractions at the early developing stage and were transferred to higher molecular weight fractions at the later stage in both WT and be2b. Accordingly, protein interactions were enhanced during seed development as demonstrated by co-immunoprecipitation analysis, suggesting that the enzymes were recruited to form larger protein complexes during starch biosynthesis. The converse elution pattern from GPC of SSIVb may be attributed to its vital role in the initiation step of starch synthesis. The number of protein complexes was markedly decreased in be2b at all development stages. Although SSIVb could partially compensate for the role of BEIIb in protein complex formation, it was hard to form a larger protein complex containing over five proteins in be2b. In addition, other proteins such as PPDKA and PPDKB were possibly present in the multi-enzyme complexes by proteomic analyses of high molecular weight fractions separated from GPC. Two putative protein kinases were found to be potentially associated with starch biosynthetic enzymes. Collectively, our findings unraveled a dynamic change in the protein complex during seed development, and potential roles of BEIIb in starch biosynthesis via various protein complex formations, which enables a deeper understanding of the complex mechanism of starch biosynthesis in rice.

Semen parameters and sex hormones as affected by SARS-CoV-2 infection: A systematic review

Background

Impaired semen quality and reproductive hormone levels were observed in patients during and after recovery from coronavirus disease 2019 (COVID-19), which raised concerns about negative effects on male fertility. Therefore, this study systematically reviews available data on semen parameters and sex hormones in patients with COVID-19.

Methods

Systematic search was performed on PubMed and Google Scholar until July 18th, 2022. We identified relevant articles that discussed the effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on male fertility.

Results

A total number of 1,684 articles were identified by using a suitable keyword search strategy. After screening, 26 articles were considered eligible for inclusion in this study. These articles included a total of 1,960 controls and 2,106 patients. When all studies were considered, the results showed that the semen parameters and sex hormone levels of patients infected with SARS-CoV-2 exhibited some significant differences compared with controls. Fortunately, these differences gradually disappear as patients recover from COVID-19.

Conclusion

While present data show the negative effects of SARS-CoV-2 infection on male fertility, this does not appear to be long-term. Semen quality and hormone levels will gradually increase to normal as patients recover.

Effects of single and dual modifications through electron beam irradiation and hydroxypropylation on physicochemical properties of potato and corn starches

In this study, electron beam irradiation (EBI; 2, 4, 6, 8 and 10 kGy), hydroxypropylation (HP) and dual modification of EBI-HP were applied to modify corn and potato starches. The results showed that the molar substitution (MS) of EBI-HP modified corn and potato starches were in the range of 0.060-0.087 and 0.080-0.124, respectively. After modifications, amylose content of corn (30.0 %) and potato (31.2 %) starches were declined to 24.2-28.1 % and 26.1-29.5 %, respectively, and relative crystallinity was reduced from 35.5 to 30.0 % for corn and 34.1 to 20.2 % for potato. Pasting properties decreased significantly in both starch sources with increasing irradiation dose. EBI decreased springiness, enthalpy of retrograded starch (ΔHr) and percentage of retrogradation (R%) on corn starches, which were different from those effects observed on potato starches. Meanwhile, HP increased peak viscosity up to 312.6 RVU and 1359.3 RVU for corn and potato starches, respectively. Moreover, EBI-HP was highly responsible for the decreases in the textural, gelatinization and retrogradation properties and relative crystallinity in both corn and potato starches. These results enhance the understanding of starch functionality modified by using both physical and chemical methods, and provide further insights on food and non-food applications.

Combined Effects of Different Alleles of FLO2, Wx and SSIIa on the Cooking and Eating Quality of Rice

The improvement of the cooking and eating quality (CEQ) of rice is one of the major objectives of current rice-breeding programs. A few major genes such as Waxy (Wx) and starch synthase IIa (SSIIa) have been successfully applied in molecular breeding. However, their interactive effects on CEQ have not been fully understood. In this study, a recombinant inbred line (RIL) population was constructed by crossing the white-core mutant GM645 with the transparent phenotype of the japonica rice variety Tainung 67 (TN67). GM645 and TN67 contain different alleles of FLOURY ENDOSPERM2 (FLO2), Wx, and SSIIa. The effects of different allele combinations of FLO2, Wx, and SSIIa on the CEQ of rice were investigated. The inbred lines with the mutation allele flo2 had a significantly lower apparent amylose content (AAC), viscosity characteristics except for setback (SB), and gel texture properties compared to those lines with the FLO2 allele. The allelic combination of FLO2 and Wx significantly affected the AAC, breakdown (BD), and gel textural properties, which could explain most of the variations in those rice quality traits that were correlated with AAC. The allelic combination of FLO2 and SSIIa significantly affected the hot paste viscosity (HPV) and pasting temperature (PT). The Wx × SSIIa interaction had a significant effect on the PT. The interaction of FLO2, Wx and SSIIa significantly affected the AAC, cold paste viscosity (CPV), PT, and consistency viscosity (CS). These results highlight the important roles of these quality-related genes in regulating the CEQ of rice and provide new clues for rice-quality improvement by marker-assisted selection.

Carbohydrate Repartitioning in the Rice Starch Branching Enzyme IIb Mutant Stimulates Higher Resistant Starch Content and Lower Seed Weight Revealed by Multiomics Analysis

The starch branching enzyme IIb mutant (be2b) in rice significantly increases the resistant starch (RS) content and leads to reduced seed weight. However, the underlying metabolic mechanisms remain unclear. Proteomic analysis indicated that upregulation of starch synthase IIa (SSIIa) and SSIIIa and downregulation of BEI and SSI were possibly responsible for the decreased short amylopectin chains (DP 6-15) and increased longer chains (DP > 16) of be2b starch. The upregulation of granule-bound starch synthase led to increased amylose content (AC). These changes in the amylopectin structure and AC accounted for the increased RS content. α-Amylase 2A showed the strongest upregulation (up to 8.45-fold), indicating that the loss of BEIIb activity enhanced starch degradation. Upregulation of glycolysis-related proteins stimulated carbohydrate repartitioning through glycerate-3-phosphate and promoted the accumulation of tricarboxylic acid cycle intermediates, amino acids, and fatty acids. The unexpected carbohydrate partitioning and enhanced starch degradation resulted in the reduced seed weight in the be2b mutant.

Physicochemical, Nutritional, and Antioxidant Properties in Seven Sweet Potato Flours

Sweet potato flour is a key ingredient for the production of new food products worldwide, which imparts desired properties, nutritional value, antioxidants, and natural color to processed foods. However, little information regarding the functional properties of the sweet potato flour is available. In this study, the genetic diversity in the physiochemical, nutritional, and antioxidant properties of wholemeal flour from seven sweet potato varieties was investigated. The total phenolic content (TPC) of the free and bound fractions ranged from 13.85 to 90.74 mg gallic acid equivalent (GAE)/100 g and from 5.07 to 24.29 mg GAE/100 g, respectively. The average protein content of sweet potato was 5.41 g/100 g ranging from 3.40 to 8.60 g/100 g DW. The total amino acid content averaged 45.13 mg/g DW. The average contents of 12 mineral elements were in the order of K > P > Ca > Mg > Mn > Fe > Zn > Cu > Ni > Se > Cr > Cd. K and P contents were the highest among all accessions, which were positively correlated with most of the other minerals. The average starch content of sweet potato was 53.90 g/100 g DW, ranging from 31.68 to 64.90%. The peak viscosity (PV), hot paste viscosity (HPV), and cold paste viscosity (CPV) were in the range of 90.7-318.8 Rapid Visco Unit (RVU), 77.3-208.3 RVU, and 102.6-272.7 RVU, respectively. The hardness values and cohesiveness (Coh) varied among different sweet potatoes, with a range of 8.20-18.48 g and 0.22-0.68, respectively. The gelatinization onset, peak, conclusion temperatures, and enthalpy were in the ranges of 59.39-71.91°C, 70.19-88.40°C, 78.98-95.79°C, 1.85-5.65 J/g, respectively.

Diurnal changes in starch molecular structures and expression profiles of starch biosynthesis enzymes in rice developing seeds

The diurnal changes in the expression profiles of starch synthesis related enzymes (SSREs) has been previously studied in transitory starches, while its influences on storage starch molecular structures in the rice endosperm during seed development have not been elucidated. In this study, the changes in the transcript levels of starch synthesis related genes (SSRGs), the protein abundances and enzyme activities of SSREs as well as starch molecular structures in rice endosperm at 10 days after flowering (DAF) over the diurnal cycle were analyzed. It was found that the expression profiles of SSRG and the protein contents of SSREs displayed different diurnal patterns between two indica rice varieties with medium- and high-amylose content (AC), respectively. The expression levels of SSRGs were higher in the light time, and most SSREs also accumulated during this period except debranching enzymes. Amylose synthesis displayed distinct diurnal patterns in two rice varieties, which is attributed to the diurnal changes in the protein content of granule-bound starch synthase I (GBSSI), but amylopectin chain-length distributions (CLDs) remained unaltered due to its vast numbers of branches. The results provide the first step to understand the roles of each enzyme isoform involved in starch synthesis in response to diurnal regulation in rice endosperm.

Genetic Diversity and Health Properties of Polyphenols in Potato

Polyphenol is one of the most essential phytochemicals with various health benefits. Potato (Solanum tuberosum L.) is known as a potential source of polyphenols, and also has health benefits in which phenolic acids, such as chlorogenic, ferulic acid, caffeic acid, and flavonoids, such as anthocyanins, sustainably play the most significant role. Almost every polyphenol contributes to various biological activities. In this review, we collected comprehensive information concerning the diversity of polyphenols in potatoes, and the effects of post-harvest processing and different cooking methods on the bioavailability of polyphenols. To achieve maximum health benefits, the selection of potato cultivars is necessary by choosing their colors, but various cooking methods are also very important in obtaining the maximum concentration of polyphenolic compounds. The health properties including major biological activities of polyphenols, such as antioxidant activity, anticarcinogenic activity, anti-inflammatory activity, anti-obesity activity, and antidiabetic activity, have also been summarized. All these biological activities of polyphenols in potatoes might be helpful for breeders in the design of new varieties with many health benefits, and are expected to play a vital role in both pharmaceutical and nutraceutical industries.

Relative importance of branching enzyme isoforms in determining starch fine structure and physicochemical properties of indica rice

Down-regulation of starch branching enzymes alters fine structure and starch properties, especially the B-type crystalline pattern and extremely high amylose content identified in the BEIIb-deficiency mutant in the indica rice. The relative importance of the starch branching enzymes in determining the molecular fine structure and starch functional properties were uncovered in this study. An indica rice, Guangluai 4 with high amylose content (AC) and high gelatinization temperature (GT) was used to generate the clustered regularly interspaced short palindromic repeats (CRISPR)/associated protein-9 (Cas9) knockout lines. Five mutant lines were identified including be1-1, be1-2, be2a-1, be2a-2 and be2b-1, and analysis of western blot showed the CRISPR/Cas9 system was successful in inducing mutations in the targeted genes. AC of be2b-1 (34.1%) was greater than that of wild type (WT) (27.4%) and other mutants. Mutations of either BEI or BEIIa did not alter the starch crystallite pattern (A-type). The BEIIb deficiency caused an opaque endosperm phenotype, changed the crystallite pattern from A- to B-type, and dramatically increased the degree of ordered structure, the relative proportion of amylose chains and intermediate to long amylopectin chains, average chain length of amylopectin molecules as well as GT. The BEIIa deficiency had no effect on the proportion of amylose chains, the length of amylopectin intermediate-long chains, conclusion temperature and enthalpy of gelatinization. Down-regulation of BEI increased the proportion of shortest amylopectin chains (fa) but decreased the proportion of long amylopectin chains (fb2 and fb3), leading to a lower GT. It is concluded that the relative importance in determining starch fine structures and functionality was in the order of BEIIb > BEI > BEIIa. Our results provide new information for utilizations of BE-deficient mutants in rice quality breeding.

Functional Interactions between Enzymes Involved in Amylose and Amylopectin Biosynthesis in Rice Based on Mathematical Models

Starch biosynthesis is controlled by multiple enzymes, including granule-bound starch synthase I (GBSSI), soluble starch synthases (SSs), branching enzymes (BEs), and debranching enzymes (DBEs). Although the role of individual isoforms has been primarily elucidated, the precise information about how they work together in the synthesis of specific amylose and amylopectin chains is still unclear. In this study, starch molecular chain-length distributions (CLDs) of five rice varieties with different amylose contents were measured by fluorophore-assisted carbohydrate electrophoresis and size-exclusion chromatography and fitted with two mathematical models, and the protein abundance of 11 starch synthesis-related enzymes was measured by western blotting. The correlation between model fitting parameters of amylose and amylopectin CLDs demonstrated that amylose and amylopectin syntheses are closely dependent. GBSSI could interact with BEI, BEIIb, SSIIa, SSIVb, ISA1, PUL, and PHO1 to synthesize the amylopectin intermediate and long chains as well as amylose chains. In addition, the interaction among SSIVb and SSI, SSIIa, BEI, BEIIb, ISA1, and PUL possibly suggests that SSIVb assists them to synthesize the amylopectin chains. The results can help understand the mechanisms about the functional interaction of different enzyme isoforms in starch biosynthesis.

Efficacy and safety of HDL/apoA-1 mimetics on human and mice with atherosclerosis: a systematic review and meta-analysis

Funding Acknowledgements

Type of funding sources: Public grant(s) – National budget only. Main funding source(s): the National Natural Science Foundation of China

Background

Low high-density lipoprotein cholesterol (HDL-C) level as a residual risk factor of cardiovascular disease (CVD) is still causing concern, although using chemical drugs for raising HDL-C level failed. The effect of high-density lipoprotein/ apolipiproteinA-1(HDL/apoA-1) mimetics on atherosclerosis is controversial.

Aim

In this meta-analysis we analyzed the effect of high-density lipoprotein/ apolipiproteinA-1(HDL/apoA-1) mimetics on atherosclerotic lesion both in human and mice.

Methods

We systematically searched PubMed, Cochrane, Web of Science and EMBASE databases up to June 6, 2020 for eligible studies using wide search terms and included all the publications meet the including criteria. The methodological quality of the human studies was assessed using Review Manager (RevMan) software (version 5.3.). The methodological quality of the mice studies was assessed by using stair list. WMD(SMD) with 95% CI was used as a measure of the association between HDL/apoA-1 mimetics and plaque regression in human (in mice), after pooling data across trials in a random effect model. Sensitivity and subgroup analyses were used to explore sources of heterogeneity and the effect of potential confounders. STATA (version 14.0) was used to conduct all statistical analyses.

Results

We identified 15 randomized controlled trials in which 6 trails including 754 ACS (HDL/apoA-1 mimetics = 414, placebo = 340) patients used for efficacy analysis and all of 15 trails used for safety analysis and 17 controlled trials for animal study. The pooled results showed that the use of HDL/apoA-1 mimetics did not significant decreased the percent atheroma volume(p = 0.494) and total atheroma volume(p = 0.560) in patients with acute coronary syndrome (ACS). However, HDL/apoA-1 mimetics (or gene transfection) was significant associated with all of final percent lesion area, final lesion area and changes in lesion area (SMD, -1.75; 95% CI: -2.21∼-1.29, p = 0.000; SMD, -0.78; 95% CI: -1.18∼-0.38, p = 0.000; SMD: -2.06; 95% CI, -3.92∼-0.2, p = 0.03) in mice.

Conclusions

In human, HDL/apoA-1 mimetics cannot significantly improve atheroma volume in artery, although it is safe. However, in animal, the results suggest HDL/apoA-1 mimetics (or gene transfection) can decrease lesion area. So additional studies are needed to further investigate and explain the different efficacy of HDL/apoA-1 mimetic peptides between human and animal. Abstract Figure. Forest plots of human studies

Periodontitis Salivary Microbiota Worsens Colitis

Evidence suggests that periodontitis contributes to the pathogenesis of inflammatory bowel disease, including Crohn's disease and ulcerative colitis. However, few studies have examined the role of swallowing and saliva in the pathogenesis of gastrointestinal diseases. Saliva contains an enormous number of oral bacteria and is swallowed directly into the intestine. Here, we explored the influence of periodontitis salivary microbiota on colonic inflammation and possible mechanisms in dextran sulfate sodium (DSS)-induced colitis. The salivary microbiota was collected from healthy individuals and those with periodontitis and gavaged to C57BL/6 mice. Periodontitis colitis was induced by DSS for 5 d and ligature for 1 wk. The degree of colon inflammation was evaluated through hematoxylin and eosin staining, ELISA, and quantitative real-time polymerase chain reaction. Immune parameters were measured with quantitative real-time polymerase chain reaction, flow cytometry, and immunofluorescence. The gut microbiota and metabolome analyses were performed via 16S rRNA gene sequencing and liquid chromatography-mass spectrometry. Although no significant colitis-associated phenotypic changes were found under physiologic conditions, periodontitis salivary microbiota exacerbated colitis in a periodontitis colitis model after DSS induction. The immune response more closely resembled the pathology of ulcerative colitis, including aggravated macrophage M2 polarization and Th2 cell induction (T helper 2). Inflammatory bowel disease-associated microbiota, such as Blautia, Helicobacter, and Ruminococcus, were changed in DSS-induced colitis after periodontitis salivary microbiota gavage. Periodontitis salivary microbiota decreased unsaturated fatty acid levels and increased arachidonic acid metabolism in DSS-induced colitis, which was positively correlated with Aerococcus and Ruminococcus, suggesting the key role of these metabolic events and microbes in the exacerbating effect of periodontitis salivary microbiota on experimental colitis. Our study demonstrated that periodontitis contributes to the pathogenesis of colitis through the swallowing of salivary microbiota, confirming the role of periodontitis in systemic disease and providing new insights into the etiology of gastrointestinal inflammatory diseases.

Prognostic nutritional index as a prognostic factor in lung cancer patients receiving chemotherapy: a systematic review and meta-analysis

OBJECTIVE

Lung cancer is one of the leading causes of morbidity and mortality in the world. In the past decade, numerous studies focus on the prognostic nutritional index (i.e., a measure of serum albumin and lymphocyte in peripheral circulation) as a possible biomarker to predict the survival outcomes in cancer patients undergoing chemotherapy. Prognostic nutritional index can reliably predict the survivability outcomes by effectively quantifying the nutritional and immunological status of cancer patients. To date, only one review has attempted to evaluate the impact of the prognostic nutritional index on the survival outcomes in lung cancer patients with certain limitations. The goal of the present systematic review and meta-analysis is to bridge the gap in the literature and evaluate the capacity of the prognostic nutritional index for predicting the survivability outcomes in lung cancer patients undergoing chemotherapy. The aim of the study is to evaluate the impact of prognostic nutritional index scoring on survival outcomes in lung cancer patients undergoing chemotherapy.

MATERIALS AND METHODS

 A systematic academic literature search was performed based on the PRISMA guidelines across Web of Science, EMBASE, CENTRAL, Scopus, and MEDLINE databases. A random-effect meta-analysis was performed to evaluate the impact of prognostic nutritional index scoring (i.e., high/low) on survival outcomes (i.e., progression-free survival, overall survival) in lung cancer patients undergoing chemotherapy.

RESULTS

 From 963 studies, 16 eligible studies with 4250 lung cancer patients (62.32 ± 5.08 years) undergoing chemotherapy were included. Our meta-analysis revealed worse mortality outcomes in terms of progression-free survival (HR: 1.31) and overall survival (1.21) for the group with a low prognostic nutritional index score as compared to the group with a high prognostic nutritional index score in lung cancer patients undergoing chemotherapy. Subsequent subgroup analyses further demonstrated markedly worse outcomes for progression-free survival (1.32) and overall survival (1.52) in non-small lung cancer patients with lower prognostic nutritional index scores.

CONCLUSIONS

 We provide preliminary evidence suggesting that lower prognostic nutrition index scores are associated with worse survivability outcomes (progression-free survival and overall survival) in lung cancer patients undergoing chemotherapy. We also show that lower prognostic nutrition index scores correlate with even worse survival outcomes in patients with non-small lung cancer histological subtype of lung cancer. These findings should help clinicians to stratify the risks associated with the chemotherapeutic management of lung cancer patients.

Low dietary phosphorus impairs keel bone health and quality in laying hens

1. Phosphorus (P) is a necessary nutrient for egg production and bone quality in poultry diets. To investigate the effects of low dietary available P (avP) on keel bone, 180 laying hens were fed either a control (C, 0.3% avP) or low phosphorus (LP, 0.15% avP) diet from 20-36 weeks of age (WOA). Each diet was replicated in six cages with 15 birds per cage. Keel samples were collected at 24, 28, 32, and 36 WOA to measure indicators.2. The incidence of keel bone damage in the LP group was higher than C group and increased with age throughout the experiment period. Keel bone length from laying hens in the LP group was shorter than C group (P < 0.05) at 32 and 36 WOA.3. The mRNA expression of receptor activator of nuclear factor kappa-B ligand (RANKL) and ratio of RANKL to osteoprotegerin (OPG) were upregulated (P < 0.05), and that of sclerostin and OPG was downregulated (P < 0.05) in the LP group in comparison to hens in the C group. Meanwhile, mRNA expression of the integrin-binding sialoprotein was increased at 24 and 28 WOA (P < 0.05), and decreased at 32 and 38 WOA (P < 0.05) in the LP group.4. Laying hens in LP group had increased trabecular separation and bone surface fraction (P < 0.05), decreased bone volume, bone volume fraction, trabecular number and thickness, and bone mineral density (P < 0.05) at 32 WOA. The LP-fed hens had increased K, Ti, Mn, Fe, Zn, Se, Sr and Pb bone concentrations (P < 0.05), and decreased P and TI bone concentrations (P < 0.05) at 36 WOA.5. Feeding hens a P-deficient diet with 0.15% avP and 3.37% Ca during the laying period impaired keel bone quality, which could be related to the osteoporosis.

A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19

In the wake of COVID-19, the production demand of medical equipment is increasing rapidly. This type of products is mainly assembled by hand or fixed program with complex and flexible structure. However, the low efficiency and adaptability in current assembly mode are unable to meet the assembly requirements. So in this paper, a new framework of human-robot collaborative (HRC) assembly based on digital twin (DT) is proposed. The data management system of proposed framework integrates all kinds of data from digital twin spaces. In order to obtain the HRC strategy and action sequence in dynamic environment, the double deep deterministic policy gradient (D-DDPG) is applied as optimization model in DT. During assembly, the performance model is adopted to evaluate the quality of resilience assembly. The proposed framework is finally validated by an alternator assembly case, which proves that DT-based HRC assembly has a significant effect on improving assembly efficiency and safety.

[High-fat diet promotes the impact of periodontitis on gut microbiota and glucose metabolism]

Objective: To study whether high-fat diet could aggravate the effect of periodontitis on gut microbiota and glucose metabolism. Methods: Twenty-four male SD rats were randomly and equally divided into four groups based on table of random numbers (n=6 in each group): control group, in which rats were given normal chow diet; periodontitis group, in which periodontitis was induced by ligating bilateral maxillary second molars with 5-0 silk thread; high-fat diet group, in which rats were given high-fat diet; high-fat diet+periodontitis group, in which rats were given high-fat diet and periodontitis was induced at the end of the 8th week. Fasting blood glucose and glucose tolerance were measured at the end of the 12th week. Then the rats were euthanized and the cecum content was collected. The microbial 16S rRNA gene sequencing was performed on the Illumina MiSeq platform. The taxonomy of the sequences was analyzed through RDP Classifier (http://rdp.cme.msu.edu/) against the SILVA (SSU123) 16S rRNA database. Pearson correlation analysis was performed to analyze the correlation between changes in gut microbiota and blood glucose. Results: After 4 weeks of periodontitis induction, the fasting blood glucose levels of the periodontitis group and the high-fat diet group were (4.93±0.28) and (5.25±0.24) mmol/L, respectively, which were significantly higher than that of the control group [(4.56±0.20) mmol/L] (P<0.05) with glucose intolerance. The fasting blood glucose level of high-fat diet+periodontitis group [(5.53±0.14) mmol/L] was significantly higher than that of periodontitis group and high-fat diet group, respectively (P<0.05), with the glucose tolerance curve higher than that of periodontitis group. The 16S rRNA gene analysis revealed that the Bacteroides/Firmicutes ratio in the periodontitis group is (0.37±0.23), which was significantly lower than that of the control group (0.68±0.05) (P<0.05). The relative abundance of Lachnospiraceae_NK4A136_group in the periodontitis group was (14.03±6.38)%, which was significantly lower than that of the control group [(28.21±4.82)%] (P<0.05). The relative abundance of Allobaculum [(4.27±2.67)%], Ruminococcaceae_UCG_005 [(3.70±0.90)%], Blautia [(0.63±0.45)%] in the periodontitis group were significantly higher than those of the control group [(0.60±0.72) %, (0.43±0.16) %, (0.13±0.13) %, respectively](P<0.05). Compared with periodontitis group, the relative abundance of Proteobacteria in high-fat diet+periodontitis group [(3.06±0.90)%] was significantly higher than that of the periodontitis group [(1.40±0.98)%] (P<0.05). The principal coordinate analysis and similarity analysis based on the Bray-Curtis distance showed that samples of the high-fat diet+periodontitis group clustered separately from the periodontitis group and the high-fat diet group. The results of correlation analysis showed that the abundance of Lachnospiraceae_NK4A136_group was negatively correlated with fasting blood glucose and glucose levels after loading for 60 and 120 minutes (r=-0.56, -0.50, -0.42, respectively) (P<0.05). The abundance of Allobaculum, [Eubacterium]_coprostanoligenes_group, Peptococcaceae_uncultured, [Ruminococcus]_torques_group, and several genera belonging to the Proteobacteria were positively correlated with glucose levels after loading for 120 minutes (P<0.05). Conclusions: Periodontitis might be closely related to impaired gut microbiota and glucose metabolism, and the effect could be aggravated by high-fat diet.

Metabolic syndrome-related SNPs in HLA and TNF7L2 may be risk factors for generalized pustular psoriasis in Chinese Han population

Background

Generalized pustular psoriasis (GPP) is a rare and severe type of psoriasis. Previous studies have reported that metabolic syndrome and its components have been associated with psoriasis.

Objective

To investigate the association of metabolic syndrome‐related single‐nucleotide polymorphisms (SNPs) and GPP in Chinese Han population.

Materials and Methods

One hundred and thirty‐six (136) GPP patients and 965 healthy controls were recruited in the study. Approximately, 4 ml peripheral venous blood was collected from each participant. After collection, second‐generation sequencing was used to detect genetic polymorphism of 15 SNPs. The plink 1.07 software package was used for statistical analysis.

Results

Rs805303 (p = 0.01, OR = 0.70) and rs3177928 (p = 3.18E−07, OR = 2.66) in HLA were significantly different between the two groups. Moreover, rs4506565 (p = 1.41E−03, OR = 2.72) and rs7901695 (p = 9.39E−04, OR = 2.82) in TCF7L2 were significantly associated with GPP in patients without a previous history of PsV. Genotype analysis of rs4506565 and rs7901695 showed that under the recessive model, genotype frequencies of rs4506565 (p = 0.00, OR = 18.52) and rs7901695 (p = 0.00, OR = 18.44) were significantly different between GPP patients and healthy controls.

Conclusion

Rs805303 and rs3177928 in HLA may increase the risk of GPP in the Chinese Han population. TCF7L2 may be a risk factor for GPP in patients without a previous history of PsV.