Establishment of ultrasensitive immunoassay strip based on colloidal gold-McAb probe for detecting cyproheptadine hydrochloride and six phenothiazines in feed

An ultrasensitive and broad-specific monoclonal antibody recognising cyproheptadine hydrochloride and six phenothiazines was produced. The 50% inhibition concentration against cyproheptadine hydrochloride was 0.036 ng/mL, and the cross-reactivities for six phenothiazines were from 6.33% to 63.16%. Based on the developed monoclonal antibody, an immunochromatographic strip was established, with the visual detection limits (cut-off values) of seven drugs ranging from 5 to 100 ng/g in feedstuffs. With the strip reader, the 50% inhibition concentration of the developed immunochromatographic strip for seven drugs ranged from 0.570 to 7.750 ng/g. The intra-assay recoveries were from 79.8% to 103.4% with the highest coefficient of variation of 11.3%. The inter-assay recoveries were from 79.0% to 96.6% with the highest coefficient of variation of 12.7%. In summary, the proposed immunochromatographic strip was considered suitable for simultaneously monitoring cyproheptadine hydrochloride and phenothiazines in feedstuffs.

Germinated Brown rice enhanced n-3 PUFA metabolism in type 2 diabetes patients: A randomized controlled trial

BACKGROUND

Brown rice (BR) has been considered as a potential strategy in improving T2DM. However, there are a lack of population-based trials on the association of Germinated brown rice (GBR) and diabetes.

AIMS

We aimed to explore the influence of GBR diet in T2DM patients for 3 months and whether this effect relates to serum fatty acids.

METHODS

Two hundred and twenty T2DM patients have been enrolled and eligible subjects (n = 112, 61 female, 51 male) were randomly divided into GBR intervention group (n = 56) and control group (n = 56). Except those who lost follow-up and withdrew, final GBR group and control group consisted of 42 and 43 patients, respectively. Participants in GBR group were asked to consume 100 g/d GBR instead of equal refined grain (RG) for 3 months, while control group maintain their usual eating habits. A structured questionnaire was used for demographic information at baseline, and basic indicators were measured both at the beginning and end of the trail to evaluate plasma glucose and lipids levels.

RESULTS

In GBR group, mean dietary inflammation index (DII) decreased, indicating GBR intervention retarded patient inflammation. Besides, glycolipid related parameters, including FBG, HbA1c, TC and HDL, were all significantly lower than those in control group. Excitingly, fatty acid composition was changed by intake of GBR, especially n-3 PUFA and n-3/n-6 PUFA rate were significantly increased. Moreover, subjects in GBR group had higher levels of n-3 metabolites, such as RVE, MaR1 and PD1, reducing inflammatory effect. In contrast, n-6 metabolites, like LTB4 and PGE2 which could promote inflammatory effect, were lower in GBR group.

CONCLUSION

We confirmed that diet with 100 g/d GBR for 3 months could really improve T2DM to some extent. This beneficial effect may be related to n-3 metabolites, namely inflammation changes.

TRIAL REGISTRATION

ChiCRT-IOR-17013999, www.chictr.org.cn.

Whole grain germinated brown rice regulates intestinal immune homeostasis and gastrointestinal hormones in type 2 diabetic patients-a randomized control trial

Background: Whole grains present distinguished benefits to a handful of metabolic syndromes (MetS). However, the preventive effects of germinated brown rice (GBR), a new type of brown rice, on patients with type 2 diabetes (T2DM) are rarely reported. Objectives: To investigate whether replacing 100 g refined white rice (RWR) with equal GBR per day is effective in T2DM and its underlying mechanisms. Methods: Ninety-nine qualified T2DM patients (64.58 ± 5.06 years old) were recruited. All patients were randomly divided into GBR group (100 g d^-1 GBR for 12 weeks) and control group (keep the regular diet). Food frequency questionnaires, and fresh stool and serum samples were collected before and after the intervention, followed by various measurements. Results: Fasting blood glucose was obviously decreased after GBR intervention with an effective rate of 62%. Glycated hemoglobin (HbA1c) levels were decreased in the GBR group with no significance. In the GBR group, the abundance of beneficial bacteria in feces was increased, while harmful bacteria were decreased. The percentage of Bacteroides (57.2%) was largely increased. In addition, three types of short-chain fatty acids (SCFAs) including acetic acid, propanoic acid, and butyric acid were increased significantly by GBR (p < 0.05). The secretion of GLP and PYY in serum, two kinds of gastrointestinal hormones downstream of SCFAs, was stimulated by GBR (p < 0.01). Meanwhile, GBR intervention could balance the ratio of Treg/Th17 immune cells in PBMCs and reduce the levels of inflammatory factors including IL-6, IL-8, and LPS in serum, which improved the permeability of intestinal mucosa. Conclusions: GBR (100 g d^-1 for 12 weeks) has positive improvement in the fasting blood glucose for T2DM patients, which attributed to the recovery of intestinal homeostasis.

A highly sensitive monoclonal antibody-based paper sensor for simultaneously detecting valnemulin and tiamulin in porcine liver

Valnemulin (VAL) and tiamulin (TIA) are pleuromutilin antibiotics used primarily for treating bacterial infections in swine or other food animals. Furthermore, VAL and TIA are also employed as feed additives to promote animal growth. However, the illegal use of VAL and TIA could cause a series of hazards to consumers. Here, VAL was designed to be conjugated with bovine serum protein to prepare immunogen. A highly sensitive monoclonal antibody that recognized both VAL and TIA has been successfully produced. Moreover, an immunochromatographic strip assay for rapidly screening VAL and TIA in porcine liver was established with visual detection limits (cutoff values) of 50 and 25 ng/g, respectively. The IC₅₀ values calculated from the equation of the standard curve were 6.06 and 3.45 ng/g and the limits of detection were 0.96 and 0.29 ng/g for VAL and TIA. According to the recovery experiment results, the test strip exhibited acceptable accuracy and precision. Generally, the proposed strip provided a practical tool for the detection of VAL and TIA. PRACTICAL APPLICATION: We produced a highly sensitive monoclonal antibody and developed an immunoassay strip for simultaneously monitoring TIA and VAL. Additionally it was preliminarily confirmed that the rapid detection tool was suitable for screening TIA and VAL in porcine liver.

Colloidal gold-based immunochromatographic strip assay for the rapid detection of bacitracin zinc in milk

In this study, a murine monoclonal antibody (mAb) of 6D2-G10 against bacitracin zinc (BAC) was produced and applied to an immunochromatographic strip (ICS) for the initial detection of BAC in milk. The ICS with a cut-off value of 25 ng/mL could be perceived by the naked eye within 10 min. With the assist of the strip reader, the limit of detection (LOD) was measured as 0.82 ng/mL, the half-maximal inhibitory concentration (IC₅₀) was recorded as 3.16 ng/mL, and the linear detection range was from 0.97 to 10.30 ng/mL. The recoveries ranged from 87.7% to 96.0% with the highest coefficient of variation (CV) of 9.1% in the intra-assay and from 84.3% to 90.2% with the highest CV of 10.7% in the inter-assay. In short, the established ICS provided a serviceable analytical tool for qualitatively and quantitatively monitoring BAC in milk.

A rapid colloidal gold-based immunochromatographic strip assay for monitoring nitroxynil in milk

BACKGROUND

Nitroxynil (NIT) is a veterinary drug against hepatic fluke disease for food-producing cattle and sheep. NIT has a long half-life time in animals since it is highly bound to plasma protein. Therefore NIT possibly remains in animal edible tissues or milk due to drug abuse. In this study, a specific murine monoclonal antibody (mAb) against NIT was prepared and an immunochromatographic strip assay based on the mAb was developed for screening NIT in milk.

RESULTS

The affinity constant of the anti-NIT mAb was 2.93 × 10¹⁰ and the anti-NIT mAb had almost no cross-reactivity with other analogs, so that it showed good specificity. The cutoff value of this test strip was considered to be 50 ng mL^-1 by the naked eye. When detected by the strip reader, the half maximum inhibition concentration (IC₅₀ ) of the immunoassay strip was calculated to be 5.716 ng mL^-1 and the limit of detection (LOD) was 1.146 ng mL^-1 . Intra-assay recoveries from 88.80 to 97.13% were obtained, with the highest coefficient of variation (CV) at 9.01%; inter-assay recoveries ranged from 84.60 to 106.87%, with the highest CV at 9.93%.

CONCLUSION

The operative procedure of the proposed method can be completed within 10 min. The strip developed in this study was a practical tool for rapid semiquantitative and quantitative detection of NIT in milk. This study suggested great potential for analytically monitoring NIT in other food samples. © 2019 Society of Chemical Industry.

Dietary Information Improves Model Performance and Predictive Ability of a Noninvasive Type 2 Diabetes Risk Model

There is no diabetes risk model that includes dietary predictors in Asia. We sought to develop a diet-containing noninvasive diabetes risk model in Northern China and to evaluate whether dietary predictors can improve model performance and predictive ability. Cross-sectional data for 9,734 adults aged 20-74 years old were used as the derivation data, and results obtained for a cohort of 4,515 adults with 4.2 years of follow-up were used as the validation data. We used a logistic regression model to develop a diet-containing noninvasive risk model. Akaike's information criterion (AIC), area under curve (AUC), integrated discrimination improvements (IDI), net classification improvement (NRI) and calibration statistics were calculated to explicitly assess the effect of dietary predictors on a diabetes risk model. A diet-containing type 2 diabetes risk model was developed. The significant dietary predictors including the consumption of staple foods, livestock, eggs, potato, dairy products, fresh fruit and vegetables were included in the risk model. Dietary predictors improved the noninvasive diabetes risk model with a significant increase in the AUC (delta AUC = 0.03, P<0.001), an increase in relative IDI (24.6%, P-value for IDI <0.001), an increase in NRI (category-free NRI = 0.155, P<0.001), an increase in sensitivity of the model with 7.3% and a decrease in AIC (delta AIC = 199.5). The results of the validation data were similar to the derivation data. The calibration of the diet-containing diabetes risk model was better than that of the risk model without dietary predictors in the validation data. Dietary information improves model performance and predictive ability of noninvasive type 2 diabetes risk model based on classic risk factors. Dietary information may be useful for developing a noninvasive diabetes risk model.

Long-Term Single and Joint Effects of Excessive Daytime Napping on the HOMA-IR Index and Glycosylated Hemoglobin: A Prospective Cohort Study

This prospective cohort study was conducted to assess the duration of daytime napping and its effect combined with night sleep deprivation on the risk of developing high HOMA-IR (homeostasis model assessment of insulin resistance) index and disadvantageous changes in glycosylated hemoglobin (HbA1c) levels.A total of 5845 diabetes-free subjects (2736 women and 3109 men), 30 to 65 years of age, were targeted for this cohort study since 2008. Multiple adjusted Cox regression models were performed to evaluate the single and joint effects of daytime napping on the risk of an elevated HbA1c level and high HOMA-IR index.After an average of 4.5 years of follow-up, >30 minutes of daytime napping was significantly associated with an increased risk of an elevated HbA1c level (>6.5%) in men and women (all P trend < 0.05). Hazard ratios (HRs) for an HbA1c level between 5.7% and 6.4% were also significant in the entire cohort and women, but nonsignificant in men. HRs (95% confidence interval, CIs) for the high HOMA-IR index in the entire cohort, men, and women were 1.33 (1.10-1.62), 1.46 (1.08-1.98), and 1.47 (1.12-1.91), respectively. The combination of sleep deprivation with no naps or >30 minutes napping and the combination of no sleep deprivation with >30 minutes daytime napping were all associated with an HbA1c level >6.5% (HR = 2.08, 95% CI = 1.24-3.51; HR = 4.00, 95% CI = 2.03-7.90; and HR = 2.05, 95% CI = 1.29-3.27, respectively). No sleep deprivation combined with >30 minutes daytime napping correlated with a high risk of an HbA1c level between 5.7% and 6.4% and high HOMA-IR index (HR = 2.12, 95% CI = 1.48-3.02; and HR = 1.35, 95% CI = 1.10-1.65, respectively).Daytime napping >30 minutes was associated with a high risk of an elevated HbA1c level and high HOMA-IR index. No sleep deprivation combined with napping >30 minutes carries a risk of abnormal glucose metabolism. Sleep deprivation combined with brief daytime napping <30 minutes was not associated with a risk for an elevated HbA1c level and high HOMA-IR index.

High carbohydrate intake from starchy foods is positively associated with metabolic disorders: a Cohort Study from a Chinese population

Starchy foods are the main sources of carbohydrates; however, there is limited information on their metabolic impact. Therefore, we assessed the association between carbohydrates from starchy foods (Carb-S) intakes and the metabolic disorders of metabolic syndrome (MetS) and hyperlipidemia. In this study, 4,154 participants from Northern China were followed up for 4.2 years. Carb-S included rice, refined wheat, tubers, and their products. Multivariable regression models were used to calculate risk ratios (RRs) for MetS and hyperlipidemia from Carb-S, total carbohydrates, and carbohydrates from other food sources (Carb-O). Receiver operating characteristic analysis was used to determine a Carb-S cut-off value. High total carbohydrate intake was associated with increased risks of MetS (RR: 2.24, 95% CI: 1.00–5.03) and hyperlipidemia (RR: 3.05, 95% CI: 1.25–7.45), compared with the first quartile. High Carb-S intake (fourth quartile) was significantly associated with MetS (RR: 1.48, 95% CI: 1.01–2.69) and hyperlipidemia (RR: 1.73, 95% CI: 1.05–3.35). No associations with Carb-O were observed. Visceral adiposity, triglyceride levels, and high-density lipoprotein cholesterol significantly contributed to the metabolic disorders. The Carb-S cut-off value was 220 g. Both high total carbohydrate and Carb-S intakes were associated with hyperlipidemia and MetS; Carb-S appears to contribute more to these disorders.

Increased hemoglobin A1c threshold for prediabetes remarkably improving the agreement between A1c and oral glucose tolerance test criteria in obese population

CONTEXT

It is unclear why the prevalence of diabetes and prediabetes, especially prediabetes, between diagnosed by oral glucose tolerance test (OGTT) and hemoglobin A1c (HbA1c) criteria, is substantially discordant.

OBJECTIVE

We aimed to evaluate the effects of obesity on the agreement between HbA1c and OGTT for diagnosing diabetes and prediabetes and identify the optimal HbA1c cutoff values in different body mass index (BMI) classifications.

DESIGN SETTING AND PARTICIPANTS

In a population-based, cross-sectional study in Harbin, China, 4325 individuals aged 20-74 years without a prior diagnosed diabetes were involved in this study.

OUTCOME

measure The performance and optimal cutoff points of HbA1c were assessed by receiver-operating characteristic curve. The contribution of BMI to HbA1c was analyzed by structural equational model.

RESULTS

The agreement between HbA1c criteria and OGTT decreased with BMI gain (κ = 0.359, 0.312, and 0.275 in a normal weight, overweight, and obese population, respectively). The structural equational model results showed that BMI was significantly associated with HbA1c in normal glucose tolerance and prediabetes subjects but not in diabetes subjects. At a specificity of 80% for prediabetes and 97.5% for diabetes, the optimal HbA1c cutoff points for prediabetes and diabetes were 5.6% and 6.4% in normal-weight, 5.7% and 6.5% in overweight, and 6.0% and 6.5% in an obese population. When the new HbA1c cutoff values were used, the agreement in obese subjects increased almost to the level in normal-weight subjects.

CONCLUSIONS

The poor agreement between HbA1c and OGTT criteria in an obese population can be significantly improved through increasing the HbA1c threshold for prediabetes.

Hepatic imaging with iodinated nanoparticles: a comparison with iohexol in rabbits

RATIONALE AND OBJECTIVES

We evaluated the efficacy of a particulate computed tomography (CT) contrast agent in an animal model of focal liver disease.

METHODS

Ethyl ester of diatrizoic acid (EEDA) is an iodinated (89 mg I/ml) nanoparticulate (200 nm) contrast agent intended for intravenous use that is currently undergoing preclinical testing in our laboratory. Focal liver abscesses were created in 11 New Zealand White rabbits. Iohexol and EEDA were administered to each animal on different days. CT scanning was performed at intervals following contrast agent administration. Liver and abscess enhancement were measured and compared. Dynamic imaging experiments in normal animals were also performed using both agents.

RESULTS

EEDA resulted in significantly greater enhancement of the liver and liver-to-abscess contrast than did iohexol at all time points beyond 5 min at approximately 25% of the total iodine load. During dynamic imaging, liver and aortic enhancement were greater with EEDA than with iohexol, except during a 20- to 40-sec period immediately following contrast agent administration.

CONCLUSION

EEDA is superior to iohexol for imaging liver abscesses. Our results suggest that liver-directed agents such as EEDA may prove to be more efficacious than currently available extracellular agents designed for liver CT scanning.