Production and evaluation of anti-BP26 monoclonal antibodies for the serological detection of animal brucellosis.

Brucella BP26 proves to be a highly immunogenic antigen with excellent specificity in brucellosis detection. In China, the authorized use of the Bp26-deleted vaccine M5ΔBP26 for preventing small ruminant brucellosis highlights the importance of developing accurate detection methods targeting BP26, particularly for the diagnosis of differentiation between infected and vaccinated animals (DIVA). Using the traditional mouse hybridoma technique, we successfully obtained 12 monoclonal antibodies (mAbs) targeting BP26. The efficacy of these mAbs in detecting various animal brucellosis cases using the competitive ELISA method was evaluated. Among them, only the E10 mAb exhibited significant efficiency, being inhibited by 100, 97.62, and 100% of brucellosis-positive sera from cattle, small ruminants, and canines, respectively. The E10-based competitive enzyme-linked immunosorbent assay (cELISA) outperformed the BP26-based indirect enzyme-linked immunosorbent assay (iELISA) in accuracy, particularly for cattle and small ruminant brucellosis, with cELISA sensitivity reaching 97.62% compared to 64.29% for iELISA for small ruminants. Although cELISA showed slightly lower specificity than iELISA, it still maintained high accuracy in canine brucellosis detection. The epitope of mAb E10 was identified in the amino acid sequence QPIYVYPDDKNNLKEPTITGY, suggesting its potential as a diagnostic antigen for brucellosis. In conclusion, the E10-based cELISA presents an effective means of detecting animal brucellosis, particularly significant for DIVA diagnosis in China, where the BP26-mutant vaccine is widely used.

Cell phone addiction and sleep disturbance among medical students in Jiangsu Province, China: the mediating role of psychological resilience and the moderating role of gender.

Background: Cell phone addiction presents a widespread and severe physical and mental health concern, now recognized as a global public health issue. Among medical college students, the issue of poor sleep quality has become particularly prevalent. This study aimed to investigate the relationship between cell phone addiction and sleep disturbance in a population of medical college students, exploring the potential mediating role of psychological resilience and the moderating impact of gender. Methods: A random cluster sampling method was employed to survey 5,048 students from four medical colleges in Jiangsu Province, China, utilizing the Mobile Phone Addiction Index (MPAI), Connor-Davidson Resilience Scale (CD-RISC), and Pittsburgh Sleep Quality Index (PSQI) for data collection. Statistical analyses were conducted using SPSS 26.0 and the PROCESS macro version 4.1. To assess mediation, Model 4 of the PROCESS macro was utilized, while Model 15 was employed to investigate the moderating effect of gender. Results: The results revealed a significant positive correlation between cell phone addiction and sleep disturbance, with psychological resilience found to partially mediate this relationship. Moreover, gender was observed to significantly moderate the impact of cell phone addiction on sleep disturbance. Specifically, bootstrap analysis indicated a significant interaction between cell phone addiction and gender (Coeff. = -0.0215, P< 0.001), with a stronger relationship found in males (simple slope = 0.0616, t = 16.66, P< 0.001) compared to females (simple slope = 0.0401, t = 9.51, P< 0.001). Conclusion: Ultimately, psychological resilience was identified as a partial mediator between cell phone addiction and sleep disturbance in medical students from Jiangsu Province, with gender playing a significant moderating role in this association.

Prevalence and related factors of sleep quality among Chinese undergraduates in Jiangsu Province: multiple models' analysis.

Background and aims: In China, a significant number of undergraduates are experiencing poor sleep quality. This study was designed to investigate the prevalence of poor sleep quality and identify associated factors among undergraduates in Jiangsu Province, China. Methods: A total of 8,457 participants were collected in 2022 using whole-group convenience sampling. The factors studied included basic demographics, family and social support, personal lifestyles, physical and mental health, mobile phone addiction index (MPAI), and the Connor-Davidson resilience scale (CD-RISC). The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Four models, including weighted multiple linear regression, binary logistic regression, weighted linear mixed model, and logistic regression with random effects, were applied to identify associated factors for sleep quality. Results: Of the 8,457 participants analyzed, 26.64% (2,253) were classified into the poor sleep quality group with a PSQI score >7. No significant relationship was found between sleep quality and gender, native place, economic level of family, physical exercise, dormitory light, dormitory hygiene, and amativeness matter. Risk factors for sleep quality identified by the four models included lower CD-RISC, higher MPAI, fourth grade or above, smoking, drinking, greater academic pressure, greater employment pressure, roommate sleeping late, noisy dormitory, poorer physical health status, poorer mental health status, and psychological counseling. Conclusions: These findings provide valuable insights for university administrators, enabling them to better understand the risk factors associated with poor sleep quality in undergraduates. By identifying these factors, administrators can provide targeted intervention measures and counseling programs to improve students' sleep quality.

Factors associated with sleep disorders among university students in Jiangsu Province: a cross-sectional study.

Objective: This study aims to establish the precise prevalence of sleep disorders among university students in Jiangsu Province. Utilizing a representative sample of students, we measured their sleep quality based on the Pittsburgh Sleep Quality Index (PSQI). Our objective is to quantitatively assess the magnitude of sleep quality and identify key factors. By detailed analysis of these relationships, our study seeks to provide actionable insights for the development of targeted interventions to enhance sleep quality within this population. Methods: From October to November 2022, we conducted a cross-sectional web-based survey in Jiangsu Province, China. Using convenient cluster sampling in each college, a total of 8457 participants were selected. The PSQI was applied to assess sleep quality among university students. Data collected included sociodemographic details, scores from the Mobile Phone Dependence Index (MPAI) and psychological resilience measured by the Connor-Davidson Resilience Scale (CD-RISC). Results: The overall prevalence of poor sleep quality among the participants was 39.30%. Binary logistic regression analysis revealed that higher physical activity (OR = 0.921; 95% CI: 0.779-1.090), earlier roommate bedtimes (OR = 0.799; 95% CI: 0.718-0.888), quieter dormitories (OR = 0.732; 95% CI: 0.647-0.828) and higher psychological resilience (OR = 0.982; 95% CI, 0.979-0.984) were protective factors linked to lower risk of poor sleep quality. Conversely, being a female student (OR = 1.238; 95% CI: 1.109-1.382), being a senior (OR = 1.582; 95% CI: 1.344-1.863), single-child status (OR = 1.195; 95% CI: 1.077-1.326), regular smoking (OR = 1.833; 95% CI: 1.181-2.847), regular alcohol consumption (OR = 1.737; 95% CI: 1.065-2.833), high academic stress (OR = 1.326; 95% CI: 1.012-1.736), high employment stress (OR = 1.352; 95% CI: 1.156-1.582), dissatisfaction with dormitory hygiene (OR = 1.140; 95% CI: 1.028-1.265), poor self-rated physical health (OR = 1.969; 95% CI: 1.533-2.529), poor self-rated mental health (OR = 2.924; 95% CI: 2.309-3.702) and higher mobile phone dependency were risk factors associated with an increased likelihood of poor sleep quality. Conclusion: The sleep quality among university students should attract immediate attention. The development of public services and mental health education initiatives is crucial in enhancing the sleep health of this population.

Psychological resilience buffers the association between cell phone addiction and sleep quality among college students in Jiangsu Province, China.

Background and aims: Excessive use of cell phones can take up college students' time and energy, and the sleep quality will inevitably be affected. A high level of psychological resilience can help them to maintain a positive attitude and cope with stressful events. However, few studies were conducted to investigate the effects of psychological resilience buffering cell phone addiction on sleep quality. In our hypothesis, psychological toughness would mitigate the worsening impact of cell phone addiction on sleep quality. Methods: The sample consisted of 7,234 Chinese college students who completed an electronic questionnaire that included demographic characteristics, such as the Mobile Phone Addiction Index (MPAI), the Psychological Resilience Index (CD-RISC), and the Pittsburgh Sleep Quality Index (PSQI). SPSS 26.0 was used for data analysis, the measurement data were described by x ¯ ± s for those conforming to normal distribution, and the comparison of means between groups was analyzed by group t-test or one-way ANOVA. Those that was not conforming to normal distribution were described by median M (P 25, P 75), and the comparison of M between groups was analyzed by Mann-Whitney U test and Kruskal-Wallis H test. Using Spearman correlation analysis, the associations between mobile phone addiction, psychological resilience, and sleep quality were evaluated. Using SPSS Process, the mediating role of psychological resilience was examined. Results: The mean scores of cell phone addiction and psychological resilience were 45.00 (SD = 13.59) and 60.58 (SD = 18.30), respectively; the sleep quality score M (P 25, P 75) was 5.0 (3.0, 7.0). Cell phone addiction among college students had a direct predictive effect on sleep quality (ß = 0.260, P < 0.01), and psychological resilience had a negative correlation with both cell phone addiction and sleep quality (ß = -0.073, P < 0.01, and ß = -0.210, P < 0.01). Psychological resilience was responsible for a mediating effect value of 5.556% between cell phone addiction and sleep quality. Conclusion: Cell phone addiction has an impact on sleep quality both directly and indirectly through the mediating effect of psychological resilience. Increased psychological resilience has the potential effect to buffer the exacerbating of cell phone addiction on sleep quality. These findings provide an evidence for cell phone addiction prevention, psychological management, and sleep improvement in China.

Correction: Paper-based ELISA diagnosis technology for human brucellosis based on a multiepitope fusion protein.

[This corrects the article DOI: 10.1371/journal.pntd.0009695.].

Study on antigenic protein Omp2b in combination with Omp31 and BP26 for serological detection of human brucellosis.

BACKGROUND: Brucellosis is a very common zoonosis in certain localized areas worldwide, with a high prevalence in most developing countries. The detection of brucellosis still faces many challenges such as the need for more sensitive and specific diagnostic antigens. METHODS: To evaluate the efficacy of Brucella outer membrane proteins (Omps) Omp2b in combination with omp31 and BP26 as diagnostic antigens for the serological detection of human brucellosis, these proteins were prepared by a prokaryotic expression system. Human brucellosis-positive and-negative sera were collected, and the detection effects of the diagnostic antigens were evaluated using an established indirect ELISA (iELISA) method. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC), true positives, true negatives, false positives, false negatives, accuracy, positive predictive value, negative predictive value, analytical specificity, and sensitivity were obtained to evaluate the effectiveness of Omp2b and antigen combinations. RESULTS: The iELISA results showed that the AUC of the antigenic proteins was 0.9100, 0.9387, 0.9343, and 0.9448, respectively, and that the combination of Omp31 and BP26 improved the accuracy and was superior to that of Omp2b alone. Analysis at the determined cut-off values showed that the analytical sensitivity of the assay was 0.8739 (95% CI:0.7974-0.9293) and the analytical specificity was 0.8539 (95% CI:0.7632-0.9199) when using Omp2b alone and 0.8649 when using the combination of Omp2b + BP26 (95% CI:0.7869-0.9223) with an analytical specificity of 0.9213 (95% CI:0.8446-0.9678) and 0.8468 (95% CI:0.7662-0.9082) and an analytical sensitivity of 0.9101 (95% CI:0.8305-0.9604). When Omp2b + Omp31 + BP26 was combined, the analytical sensitivity and specificity were 0.8559 (95% CI:0.7765-0.9153) and 0.9326 (95% CI:0.8590-0.9749), respectively. Protein antigens, including antigen combinations, did not cross-react with Yersinia enterocolitica O9 and E. coli O157: H7, indicating that their specificity was better than that of lipopolysaccharide (LPS). CONCLUSIONS: Compared with individual Omp2b, antigen combinations improved the effectiveness in detecting brucellosis, but were still not as effective as LPS antigen. Omp2b, combined with Omp31 and BP26 as diagnostic antigens, can be used to detect human brucellosis.

Study on lifestyle habits affecting sleep disorders at the undergraduate education stage in Xuzhou City, China.

Background: In China, undergraduate students face both academic and career selection pressures, sleep is an important physiological process for them. Investigate the physical exercise, sleep quality of undergraduate students in the education stage in Xuzhou City, and analyze the factors affecting their sleep quality, to promote the health education and psychological health of undergraduate students. Materials and methods: The Physical Activity Rating Scale-3 (PARS-3), the Pittsburgh Sleep Quality Index (PSQI), and the demographic information questionnaire were used to survey a whole-group sample of four undergraduate colleges and universities (Xuzhou Institute of Engineering, Xuzhou Medical University, China University of Mining and Technology, Jiangsu Normal University) in Xuzhou by cluster sampling, the general characteristics including gender, grade, height, weight, domicile, race, economic income, etc., were collected, and the data were analyzed and processed using chi-square tests and multi-factor logistic regression. Results: 3,366 valid questionnaires were collected from four undergraduate colleges and universities, including 1,355 males and 2,011 females. The detection rate of exercise in Jiangsu Normal University was lower than that in other universities, and the detection rate of sleep disorders was higher than that in other universities. Xuzhou Medical University, the highest detection rate of large exercise, Xuzhou Institute of Technology, the lowest detection rate of sleep disorders. There were significant differences in the detection rate of large amount of exercise among college students of different genders, grades, body types, and majors (χ2 = 259.172, P < 0.001; χ2 = 34.473, P < 0.001; χ2 = 36.026, P < 0.001; χ2 = 57.908, P < 0.001). There were significant differences in the detection rate of sleep disorders among college students with different gender, grade, family economic status, daily cell phone use time, cell phone purposeless usage, and exercise level (χ2 = 5.806, P = 0.016; χ2 = 47.5, P < 0.001; χ2 = 28.949, P < 0.001; χ2 = 55.866, P < 0.001; χ2 = 147.101, P < 0.001; χ2 = 9.129, P = 0.010). Multivariate logistic regression analysis showed that grade, family economic status, cell phone use time, cell phone purposeless usage is the main influencing factors of sleep disorders in college students. Conclusion: The sleep problems of undergraduates are serious, especially in Jiangsu Normal University. Scientific and appropriate exercise is an important measure to solve the sleep problems of undergraduates. Colleges and universities should actively carry out health education, college students living habits such as cell phone use should be guided training.

Comparison of BP26, Omp25 and Omp31 and a Multiepitope-Based Fusion Protein in the Serological Detection of Canine Brucellosis.

Background: Brucellosis is one of the most important zoonotic diseases in the world. Canine brucellosis, caused mainly by Brucella canis, is seriously neglected, and there is a lack of accurate diagnostic tools. Methods: In this study, to compare BP26, Omp25, Omp31 and a multiepitope-based fusion protein in the serological detection of canine brucellosis, using 34 brucellosis-positive dog sera and 62 negative control sera, the Brucella outer membrane proteins Omp31, BP26, Omp25 and a multiepitope-based fusion protein were evaluated by iELISA for their potential use as antigens in the serological diagnosis of canine brucellosis. Results: The results showed that the multiepitope-based fusion protein performed best in distinguishing brucellosis-positive and brucellosis-negative dog sera, with a positive predictive value (PPV) of 100% and a negative predictive value (NPV) of 98.41%. BP26 and Omp31 showed excellent sensitivity in detecting brucellosis-positive dog sera, but their cross reaction to sera infected with Vibrio parahaemolyticus and Listeria monocytogenes may hinder their application as diagnostic reagents. Omp25 lacked sufficient sensitivity and showed limited ability in distinguishing positive and negative dog sera. Conclusion: The multiepitope-based fusion protein can be used as an ideal antigen for serologically diagnosing canine brucellosis currently prevalent worldwide.

Evaluation of the Combined Use of Major Outer Membrane Proteins in the Serodiagnosis of Brucellosis.

Background: Brucellosis is a zoonotic disease that causes substantial public health problems and endangers the development of animal husbandry in endemic areas. Early diagnosis of infected animals and humans is a crucial step in reducing the incidence of brucellosis. In this study, we designed different combinations of Brucella major outer membrane proteins (omps) including omp10, omp16, omp19, omp25, omp31 and BP26 as antigens and evaluated their efficiency in serodiagnosis for brucellosis. The efficiency assay was conducted using the method of indirect enzyme-linked immunosorbent assay (iELISA) together with a collection of brucellosis-positive sera and healthy sera from multiple species (161 from human, 120 from goat and 144 from cattle). The diagnostic effectiveness of each omp combination was analyzed by receiver operating characteristic (ROC) curve with the software GraphPad Prism version 6.05. Results: The omp25/omp31/BP26 combination showed the best efficiency in diagnosis for human brucellosis. The area under the ROC curve (AUC) was 0.995 and, compared with the serum tube agglutination test (SAT) and the Rose Bengal plate agglutination test (RBPT), the positive and negative diagnostic accuracies of iELISA were 94.59% (105/111) and 100.0% (50/50), respectively. Evaluation of the 120 goat and 144 cattle serum samples showed that the best combination for diagnosing both omp31/BP26, the AUC was 0.9262 in goat and 0.9344 in cattle, and compared with those of SAT and RBPT, the positive and negative diagnostic accuracies in goat were 72.73% (48/66) and 100.0% (54/54), respectively. The positive and negative diagnostic accuracies in cattle were 79.79% (75/94) and 100.0% (50/50), respectively. Cross-reaction assays showed that omp25/omp31/BP26 and omp31/BP26 do not cross with other common pathogens. Conclusion: The results indicated that combinations of omps, as protein antigens, can be used to diagnose brucellosis with high accuracy in human, goat and cattle.

Estimation of Plasmodium falciparum transmission using multiepitope chimeric antigen in the postelimination phase in Yunnan, China.

BACKGROUND: The continuous monitoring of malaria transmission intensity is still required to maintain elimination status after reaching the malaria elimination stage. In this study, serological surveillance with multiepitope artificial antigen was used to assess the transmission of Plasmodium falciparum in Yunnan, China, where malaria elimination has just been achieved, to provide data to support malaria control in the postelimination period. METHODS: Samples were collected in three border counties and one inland county in Yunnan Province in 2016 using a stratified whole-group sampling method. Fingerstick blood was collected from all participants, and antibodies to Malaria Random Constructed Antigen-1 (M. RCAg-1) were detected by indirect ELISA. The transmission intensity of P. falciparum malaria was estimated using a catalytic conversion model based on the maximum likelihood of generating a community seroconversion rate (SCR). RESULTS: A total of 5566 samples were collected. There was no statistically significant difference in antibody level between the inland county and the nonendemic area, but the antibody level in border counties was significantly higher than those in the inland county and the nonendemic control area. No seropositive cases were found in Yanjin County, and the seropositivity rate increased with age in the three border counties. The highest intensity of P. falciparum malaria transmission was in Zhenkang County (SCR = 0.0030, CI: 0.0029, 0.0031), followed by Gengma County (SCR = 0.0013, CI: 0.0012, 0.0015) and Yingjiang County (SCR = 0.00088, CI: 0.00083, 0.00090). CONCLUSION: The transmission intensity of P. falciparum malaria in Yunnan Province has obviously decreased in recent years, but for the border areas where malaria has just been eliminated, the transmission intensity will not immediately drop to zero, and it still needs to be monitored for a period of time to maintain malaria elimination status.

Surveillance of Plasmodium vivax transmission using serological models in the border areas of China-Myanmar.

BACKGROUND: To understand the Plasmodium vivax malaria transmission intensity and to assess the effectiveness of prevention and control measures taken along the China-Myanmar border, a catalytic model was used to calculate the seroconversion rate, an important indicator of malaria transmission intensity with high sensitivity, which is particularly useful in areas of low transmission. METHODS: Five counties in Yunnan Province bordering Myanmar were selected as survey sites, and subjects were obtained in each county by stratified random sampling in 2013-2014. Fingerstick blood was collected from each subject and tested for antibodies to P. vivax Merozoite Surface Protein 1-19 (PvMSP1-19) using indirect ELISA. A catalytic conversion model was used to assess the transmission intensity of P. vivax malaria based on the maximum likelihood of generating a community seroconversion rate. RESULTS: A total of 3064 valid blood samples were collected. Antibody levels were positively correlated with age. The seroconversion rate (SCR) values for each village were Luoping (0.0054), Jingqiao (0.0061), Longpen (0.0087), Eluo (0.0079), Banwang (0.0042) and Banbie (0.0046), respectively. CONCLUSION: Overall, the intensity of P. vivax malaria transmission in the border areas of Yunnan Province is low and not entirely consistent across counties. Consecutive serological surveys are needed to provide a sensitive evaluation of transmission dynamics and can help to confirm areas where infection is no longer present.

Lance Adams syndrome: two cases report and literature review.

Hypoxic myoclonus, also known as Lance Adams syndrome, is a rare syndrome that results from the serious brain damage caused by cerebral hypoxia that often follows cardiopulmonary resuscitation. This current case report describes two patients with post-hypoxic myoclonus, both of whom received cardiopulmonary resuscitation. The neurological symptoms of these two patients were significantly improved by the administration of clonazepam and sodium valproate sustained-release tablets. The report presents a literature review detailing the pathogenesis, diagnosis and treatment of Lance Adams syndrome. The timely diagnosis and treatment of Lance Adams syndrome can significantly improve the quality of life of patients. Valproic acid, clonazepam and other antiepileptic drugs can be used. Whether levetiracetam is effective for cortical myoclonus requires further clinical study.

A Multi-Epitope Fusion Protein-Based p-ELISA Method for Diagnosing Bovine and Goat Brucellosis.

In recent years, the incidence of brucellosis has increased annually, causing tremendous economic losses to animal husbandry in a lot of countries. Therefore, developing rapid, sensitive, and specific diagnostic techniques is critical to control the spread of brucellosis. In this study, bioinformatics technology was used to predict the B cell epitopes of the main outer membrane proteins of Brucella, and the diagnostic efficacy of each epitope was verified by an indirect enzyme-linked immunosorbent assay (iELISA). Then, a fusion protein containing 22 verified epitopes was prokaryotically expressed and used as an antigen in paper-based ELISA (p-ELISA) for serodiagnosis of brucellosis. The multi-epitope-based p-ELISA was evaluated using a collection of brucellosis-positive and -negative sera collected from bovine and goat, respectively. Receiver operating characteristic (ROC) curve analysis showed that the sensitivity and specificity of detection-ELISA in diagnosing goat brucellosis were 98.85 and 98.51%. The positive and the negative predictive values were 99.29 and 98.15%, respectively. In diagnosing bovine brucellosis, the sensitivity and specificity of this method were 97.85 and 96.61%, with the positive and negative predictive values being identified as 98.28 and 97.33%, respectively. This study demonstrated that the B cell epitopes contained in major antigenic proteins of Brucella can be a very useful antigen source in developing a highly sensitive and specific method for serodiagnosis of brucellosis.

Paper-based ELISA diagnosis technology for human brucellosis based on a multiepitope fusion protein.

BACKGROUND: Brucellosis, as a serious zoonotic infectious disease, has been recognized as a re-emerging disease in the developing countries worldwide. In china, the incidence of brucellosis is increasing each year, seriously threatening the health of humans as well as animal populations. Despite a quite number of diagnostic methods currently being used for brucellosis, innovative technologies are still needed for its rapid and accurate diagnosis, especially in area where traditional diagnostic is unavailable. METHODOLOGY/PRINCIPAL FINDINGS: In this study, a total of 22 B cell linear epitopes were predicted from five Brucella outer membrane proteins (OMPs) using an immunoinformatic approach. These epitopes were then chemically synthesized, and with the method of indirect ELISA (iELISA), each of them displayed a certain degree of capability in identifying human brucellosis positive sera. Subsequently, a fusion protein consisting of the 22 predicted epitopes was prokaryotically expressed and used as diagnostic antigen in a newly established brucellosis testing method, nano-ZnO modified paper-based ELISA (nano-p-ELISA). According to the verifying test using a collection of sera collected from brucellosis and non-brucellosis patients, the sensitivity and specificity of multiepitope based nano-p-ELISA were 92.38% and 98.35% respectively. The positive predictive value was 98.26% and the negative predictive value was 91.67%. The multiepitope based fusion protein also displayed significantly higher specificity than Brucella lipopolysaccharide (LPS) antigen. CONCLUSIONS: B cell epitopes are important candidates for serologically testing brucellosis. Multiepitope fusion protein based nano-p-ELISA displayed significantly sensitivity and specificity compared to Brucella LPS antigen. The strategy applied in this study will be helpful to develop rapid and accurate diagnostic method for brucellosis in human as well as animal populations.

Comparative analysis of the main outer membrane proteins of Brucella in the diagnosis of brucellosis.

Brucellosis has placed a heavy economic burden on numerous countries and has consumed considerable medical resources worldwide. To improve the specificity and sensitivity of serological methods for diagnosing brucellosis, it is important to develop new diagnostic antigens. Brucella outer membrane proteins(omps) possess good immunogenicity, but there is a scarcity of comparative studies of these proteins in the clinical diagnosis of brucellosis. In this study, six recombinant Brucella outer membrane proteins, omp10, omp16, omp19, omp25, omp31 and BP26, were expressed in prokaryotic cells and utilized as diagnostic antigens. The clinical sera of humans, bovines and goats with brucellosis were analyzed by indirect ELISA using these proteins, lipopolysaccharide(LPS) and Rose Bengale Ag, served as positive-control antigens. In diagnosing human and goat serum, BP26 exhibited the highest diagnostic accuracy of 96.45% and 95.00%, respectively, while omp31 exhibited the strongest ability to detect Brucella in bovine serum with an accuracy of 84.03%. Cross-reaction experiments also confirmed that the diagnostic specificities of omp31 and BP26 were higher than those of the LPS and Rose Bengale Ag antigens. The results of this study indicate that omp31 and BP26 are candidate antigens with high potential application value in the clinical diagnosis of brucellosis.

Suoquan pill for the treatment of diabetic nephropathy: A protocol for systematic review and meta-analysis.

BACKGROUND: Diabetic nephropathy (DN) is one of the most common complications of diabetes and the main cause of kidney failure in developed countries. Clinically, DN is usually treated by controlling blood sugar and blood pressure. According to reports, the application of angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor antagonist can only target a certain stage of disease development. However, the application of Suoquan Pill (SQP) in traditional Chinese medicine has produced obvious clinical effects and minor side effects. It is used to treat DN and other diseases, but there is no systematic review of SQP in the treatment of diabetic nephropathy. This article reviews the effectiveness and safety of SQP in the treatment of DN. METHODS: The database sets the registration date for randomized controlled trials (RCT) to March 25, 2021. By searching the following eight Chinese and English electronic databases: Cochrane Library, Embase, PubMed, Science Net, China National Knowledge Infrastructure, China Biomedical Literature Database. Chinese scientific journal database and Wanfang database for analysis. The main results are clinical efficacy, urinary albumin excretion rate, symptom score and quality of life. Finally, Stata 15 was used for meta-analysis. RESULTS: This study will provide the latest evidence for SQP in the treatment of DN in the following aspects: clinical efficacy, urinary albumin excretion rate, quality of life, symptom score. CONCLUSION: The results of this study will provide evidence for evaluating the effectiveness of SQP in the treatment of DN. OSF REGISTRATION NUMBER: 10.17605/OSF.IO/KZ9RA.

Study on immunogenicity and antigenicity of a novel brucella multiepitope recombined protein.

Currently, brucellosis is a reemerged zoonotic infectious disease with an increased incidence in recent years. A simple, rapid and sensitive method for diagnosing brucellosis can help to reduce medical burden and economic loss. Previously, a multiple epitope recombinant protein was constructed based on linear B-cell epitope prediction tools. In this study, the recombinant protein was used as an antigen to study the immune response produced by immunized mice, and goat serum was used to verify its diagnostic accuracy. The production of antibodies was successfully induced in the vaccinated mice. Flow cytometric analysis revealed that the percentage of CD4+, CD8+ and the CD4+/CD8+ ratios were increased by T cell subsets in mouse splenocytes, indicating that the recombinant protein induced a strong immune response had strong immunoreactivity. Using indirect ELISA, the recombinant protein correctly diagnosed positive and negative brucellosis samples. Compared with the whole bacterial antigen, the recombinant protein had a weaker sensitivity but a stronger specificity. Animal experiments showed that the recombinant protein had good antigenicity, and indirect ELISA indicates that it can be used as an antigen to diagnose brucellosis. Therefore, the recombinant protein is a potential candidate antigen for brucellosis vaccine development and serological diagnosis.

A novel recombinant multiepitope protein candidate for the diagnosis of brucellosis: A pilot study.

Brucellosis is a zoonotic disease transmitted to humans from infected animals. As a systemic disease, it can harm any organ or system of the host body. Human brucellosis presents with various clinical symptoms, which makes diagnosis challenging. Serological diagnosis of brucellosis is based on ELISA or agglutination tests, which use colorimetry to detect antibodies generated against lipopolysaccharide (LPS) or extracts from whole-cell bacteria. To construct a protein that can specifically recognize Brucella, we analyzed hydrophilicity, accessibility, flexibility, antigenicity, and ß-turns using a protein network server. Then, we chose the most abundant immunodominant epitopes of the outer membrane proteins omp31, BP26, omp2b and omp16. Based on the sequences of these major epitopes, fifteen major immunodominant epitopes were selected to construct a synthetic Brucella recombinant multiepitope outer membrane protein (rOmp) gene. This recombinant gene was expressed in E. coli, and the produced protein was purified by Ni-NTA affinity purification. The purified protein was tested in an indirect ELISA assay, demonstrating a high level of sensitivity and specificity. This technique is creating a unique antigen that, coupled with overexpression and low-cost purification, offers a promising diagnosis of both human and animal brucellosis, with the potential to avoid the disadvantages of whole brucellosis-antigen-based assays.

Predicting Diabetes Mellitus With Machine Learning Techniques.

Diabetes mellitus is a chronic disease characterized by hyperglycemia. It may cause many complications. According to the growing morbidity in recent years, in 2040, the world's diabetic patients will reach 642 million, which means that one of the ten adults in the future is suffering from diabetes. There is no doubt that this alarming figure needs great attention. With the rapid development of machine learning, machine learning has been applied to many aspects of medical health. In this study, we used decision tree, random forest and neural network to predict diabetes mellitus. The dataset is the hospital physical examination data in Luzhou, China. It contains 14 attributes. In this study, five-fold cross validation was used to examine the models. In order to verity the universal applicability of the methods, we chose some methods that have the better performance to conduct independent test experiments. We randomly selected 68994 healthy people and diabetic patients' data, respectively as training set. Due to the data unbalance, we randomly extracted 5 times data. And the result is the average of these five experiments. In this study, we used principal component analysis (PCA) and minimum redundancy maximum relevance (mRMR) to reduce the dimensionality. The results showed that prediction with random forest could reach the highest accuracy (ACC = 0.8084) when all the attributes were used.