Category: Nevin Manimala

Arch Microbiol. 2021 Jun 19. doi: 10.1007/s00203-021-02445-w. Online ahead of print.

ABSTRACT

In this study, the relationships of integron 1 element, formaldehyde dehydrogenase, and orfF genes with the level of formaldehyde resistance of isolated E. coli were investigated. E. coli bacteria were isolated from apparently healthy and colibacillosis-affected broilers of Fars Province, Iran. Formaldehyde resistance level and the presence of genetic markers were measured using MIC, and PCR tests, respectively. The prevalence of integron 1 element, orfF, and formaldehyde dehydrogenase genes in E. coli isolates were 61%, 8%, and 94%, respectively. In addition, according to our cut off definition, 15% and 85% of isolates were resistant and sensitive to formaldehyde, respectively. None of the genes had a statistically significant relationship with the formaldehyde resistance; however, the isolates containing integron 1 were significantly more sensitive to formaldehyde in the MIC test than those without integron 1. Integron 1 gene cassette could carry some bacterial surface proteins and porins with different roles in bacterial cells. Formaldehyde could also interfere with the protein functions by alkylating and cross-linking, and this compound would affect bacterial cell surface proteins in advance. Through an increase in the cell surface proteins, the presence of integron 1 gene cassette might make E. coli more sensitive to formaldehyde. As integron 1 was always involved in increasing bacterial resistance to antibiotics and disinfectants such as QACs, this is the first report of bacterial induction of sensitivity to a disinfectant through integron 1. Finally, integron 1 does not always add an advantage to E. coli bacteria, and it could be assumed as a cause of vulnerability to formaldehyde.

PMID:34148112 | DOI:10.1007/s00203-021-02445-w

Egypt J Immunol. 2021 Jan;28(1):1-11.

ABSTRACT

There is evidence consistent with the hypothesis that genetic, inflammatory and immune mechanisms are involved in the pathogenesis of AD. The aim of this study is to assess the relationship between Apolipoprotein E (Apo E), serum levels of inflammatory markers, and cognitive functions among elderly patients with Alzheimer’s disease (AD) and Mild cognitive impairment (MCI) compared to elderly with normal cognitive function. 88 participants (≥60 years) from Ain Shams University Hospital were enrolled. They were divided into 3 groups: Group A (32 elderly patients with AD), Group B (32 elderly patients with MCI) and Group C (24 controls with normal cognitive function). All participants were subjected to comprehensive geriatric assessment, Apo E genotyping, measurement of C-reactive protein (CRP) and Alpha-1-antichymotrypsin (ACT), by PCR-RFLP, ELIZA and semi-quantitative method respectively. The most common variant of Apo E gene was E3/E3 being more frequent in healthy control group (HC) than the other two groups and the least common variant was E4/E4 detected only in the AD group. ApoE4 allele was associated with 40.6% of AD patients (where 31.4% were heterozygous and 8.6 % homozygous) and 17.1% of MCI patients, whereas ApoE2 was more prevalent in the control group (P<0.05). A significant difference was observed when Mini mental status Examination (MMSE) score in different Apo E alleles was compared (P<0.01). The highest score was associated with (E2/E3) allele whereas, the lowest score was associated with (E4/E4) allele. Regarding inflammatory markers; CRP levels showed a statistically significant difference between the 3 groups and were higher in the AD group than the other 2 groups. (P<0.01). There was no statistically significant difference between the 3 groups as regard ACT level (P>0.05). Carriers of at least one E4 allele showed great risk to develop AD when combined with high CRP serum levels (OR = 36; CI: 11.4-113.7; P< 0.01). In conclusion, Apo E together with CRP may be a useful tool to predict Alzheimer’s disease.

PMID:34147049

Egypt J Immunol. 2021 Jan;28(1):33-45.

ABSTRACT

Some studies reported a high prevalence of ischemic stroke in hepatitis C virus patients, other several studies have suggested that hepatitis C virus (HCV) may act as a trigger for autoimmune diseases and autoantibodies including Anti-Neutrophil Cytoplasmic Antibody (ANCA) which predispose to vasculitis. Because vasculitis is a risk factor for ischemic stroke, we investigated the association of the hepatitis C virus with ANCA in first-ever ischemic stroke patients. This study included 67 Egyptian patients with first-ever ischemic stroke. These patients were clinically examined and investigated for HCV infection by chemiluminescence & Real Time-PCR, and ANCA antibodies by ELISA. Forty-two patients (62.7%) had HCV infection. Twenty-nine (43.2%) of them were cytoplasmic- Antineutrophil Cytoplasmic Antibodies (c-ANCA) positive, while none was perinuclear- Antineutrophil Cytoplasmic Antibodies (p-ANCA) positive. Comparison between c-ANCA positive and ANCA negative patients showed that 82.8% and 47.4% had anti-HCV antibody, respectively, with P-value 0.003. The c-ANCA level correlated significantly with age, and HCV antibody level. No statistically significant difference was found in both the consciousness and stroke severity between the negative and positive c- ANCA patients. However, patients with positive c-ANCA had smaller and multiple cerebral infarctions with P-value 0.002 and 0.01 respectively. Multiple regression analysis showed that the number and size of cerebral infarctions were independent predictors of c-ANCA positivity with P value 0.02, and 0.03 respectively. In conclusion, c-ANCA level correlates with HCV antibody and may predispose to ischemic stroke by a possible ANCA associated vasculitis.

PMID:34147052

Comput Biol Med. 2021 Jun 8;134:104559. doi: 10.1016/j.compbiomed.2021.104559. Online ahead of print.

ABSTRACT

Cervical cancer is still one of the most prevalent cancers in women and a significant cause of mortality. Cytokine gene variants and socio-demographic characteristics have been reported as biomarkers for determining the cervical cancer risk in the Indian population. This study was designed to apply a machine learning-based model using these risk factors for better prognosis and prediction of cervical cancer. This study includes the dataset of cytokine gene variants, clinical and socio-demographic characteristics of normal healthy control subjects, and cervical cancer cases. Different risk factors, including demographic details and cytokine gene variants, were analysed using different machine learning approaches. Various statistical parameters were used for evaluating the proposed method. After multi-step data processing and random splitting of the dataset, machine learning methods were applied and evaluated with 5-fold cross-validation and also tested on the unseen data records of a collected dataset for proper evaluation and analysis. The proposed approaches were verified after analysing various performance metrics. The logistic regression technique achieved the highest average accuracy of 82.25% and the highest average F1-score of 82.58% among all the methods. Ridge classifiers and the Gaussian Naïve Bayes classifier achieved the highest sensitivity-85%. The ridge classifier surpasses most of the machine learning classifiers with 84.78% accuracy and 97.83% sensitivity. The risk factors analysed in this study can be taken as biomarkers in developing a cervical cancer diagnosis system. The outcomes demonstrate that the machine learning assisted analysis of cytokine gene variants and socio-demographic characteristics can be utilised effectively for predicting the risk of developing cervical cancer.

PMID:34147008 | DOI:10.1016/j.compbiomed.2021.104559

J Clin Anesth. 2021 Jun 16;74:110375. doi: 10.1016/j.jclinane.2021.110375. Online ahead of print.

ABSTRACT

STUDY OBJECTIVE: Assess for a relationship between immediate preoperative glucose concentrations and postoperative complications.

DESIGN: Retrospective cohort study.

SETTING: Single large, tertiary care academic medical center.

PATIENTS: A five-year registry of all patients at our hospital who had a glucose concentration (plasma, serum, or venous/capillary/arterial whole blood) measured up to 6 h prior to a non-emergent surgery.

INTERVENTIONS: The glucose registry was cross-referenced with a database from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). We applied an outcomes review to the subset of patients for whom we had data from both registries (n = 1774).

MEASUREMENTS: Preoperative glucose concentration in the full population as well as the subgroups of patients with or without diabetes were correlated with adverse postsurgical outcomes using 1) univariable analysis and 2) full multivariable analysis correcting for 27 clinical factors available from the ACS NSQIP database. Logistic regression analysis was performed using glucose level either as a continuous variable or as a categorical variable according to the following classifications: mild (≥140 mg/dL; ≥7.8 mmol/L), moderate (≥180 mg/dL; ≥10 mmol/L), or severe (≥250 mg/dL; ≥13.9 mmol/L) hyperglycemia. A third analysis was performed correcting for 7 clinically important factors (age, BMI, predicted duration of procedure, sex, CKD stage, hypoalbuminemia, and diabetic status) identified by anesthesiologists and surgeons as immediately available and important for decision making.

MAIN RESULTS: Univariable analysis of all patients and the subgroups of patients without diabetes or with diabetes showed that immediate preoperative mild or moderate hyperglycemia correlates with postoperative complications. Statistical significance was lost in most groups using full multivariable analysis, but not when correcting for the 7 factors available immediately preoperatively. However, for all patients with diabetes, moderate hyperglycemia (≥180 mg/dL; ≥10 mmol/L) continued to significantly correlate with complications even in the full multivariable analysis [odds ratio (OR) 1.79; 95% Confidence Intervals (CI) 1.10, 2.92], and with readmission/reoperation within 30 days [OR 1.93; 95% CI 1.18, 3.13].

CONCLUSIONS: Preoperative hyperglycemia within 6 h of surgery is a marker of adverse postoperative outcomes. Among patients with diabetes in our study, a preoperative glucose level ≥ 180 mg/dL (≥10 mmol/L) independently correlates with risk of postoperative complications and readmission/reoperation. These results should encourage future work to determine whether addressing immediate preoperative hyperglycemia can improve complication rates, or simply serves as a marker of higher risk.

PMID:34147016 | DOI:10.1016/j.jclinane.2021.110375

Sleep Med. 2021 May 24;84:127-133. doi: 10.1016/j.sleep.2021.05.009. Online ahead of print.

ABSTRACT

INTRODUCTION: Polysomnography is the recommended method for the diagnosis of obstructive sleep apnea (OSA); however, it is expensive, uncomfortable, and inaccessible. Alternative diagnostic methods are necessary, and Nocturnal Oximetry (NO) has proven to be reliable. Nevertheless, there have been doubts about its accuracy in patients with a history of hypoxia. Hence, the objective of this study was to evaluate the performance of NO in patients with neuromuscular diseases (NMD).

METHOD: This was a cross-sectional study in patients with NMD suspected of having OSA. We performed a statistical analysis using Spearman’s correlation coefficients (SCCs). We used the value of the area under the ROC curve (AUCROC), just as we calculated the sensitivities (Sens) and specificities (Spec) for the chosen variables.

RESULTS: The sample comprised 41 patients; 51.2% with muscular dystrophies and 48.8% with motor neuron diseases, with a predominance of men (63.4%). Median age was 42 (19.7-55) years, body mass index (BMI) was 27.9 (23.8-32) kg/m2, forced vital capacity was 67% (54%-76.5%), and maximum inspiratory pressure was-60 cmH2O (-87.5 to -50). The prevalence of OSA was 75.7%. We analyzed and selected the best four oximetric variables with the following performance in identifying the apnea/hypopnea index >5/h, ODI3/2, cutoff>5/h, AUCROC 0.919, Sens 82.3%, Spec 91.7%; ODI3/5, cutoff>11.2/h, AUCROC 0.904, Sens 82.3%, Spec 87.5%; ODI4/5, cutoff>6.02, AUCROC 0.839, Sens 70.6%, Spec 91.6%, and ODI5/5, cutoff>0.87/h, AUCROC 0.870, Sens 94.1%, and Spec 70.8%.

CONCLUSION: NO can be used as a diagnostic tool for OSA, even in patients with neuromuscular diseases and potentially hypoxic diseases.

PMID:34147027 | DOI:10.1016/j.sleep.2021.05.009

J Environ Manage. 2021 Jun 16;294:113002. doi: 10.1016/j.jenvman.2021.113002. Online ahead of print.

ABSTRACT

Methanogenesis involves several enzymes with trace metal components that catalyze major metabolic pathways and, therefore, requires a sufficient supply of micronutrients such as iron, nickel or cobalt. The statistically-based Plackett-Burman experimental design was adopted in this study to identify which trace metal have a statistically significant effect on the maximum methane production from domestic sewage. The addition of Barium (Ba), Cobalt (Co), Copper (Cu), Iron (Fe), Manganese (Mn), Nickel (Ni) and Selenium (Se) was tested in batch reactors using domestic sewage as the substrate and sewage sludge as the inoculum. The results showed that the addition of Fe was statistically significant, positively affecting the maximum CH₄ production (p-value 0.05). The results are expressed in L of CH₄ per g of Chemical Oxygen Demand added, increasing it from 0.10 to 0.13 LCH₄ gCOD_add^-1. In L of CH₄ per g of Volatile Solids, increased it from 0.031 to 0.040 LCH₄ gVS^-1. The addition of Se was statistically significant, but with a negative effect on the maximum methane production (p-value 0.002), which decreased from 0.13 to 0.10 LCH₄.gCOD_add^-1. Moreover, six different Fe concentrations (0, 40, 80, 120, 160 and 200 mgL^-1) were tested, showing that the addition of 120 mgL^-1 had the greatest effect for statistically improving the maximum methane production, with 33% improvement (0.12 ± 0.003 to 0.16 ± 0.012 LCH₄ gCOD_add^-1) compared to no addition of Fe and the specific CH₄ production to 0.040 ± 0.001 LCH₄ gVS^-1.

PMID:34146930 | DOI:10.1016/j.jenvman.2021.113002

Placenta. 2021 May 31;111:26-32. doi: 10.1016/j.placenta.2021.05.004. Online ahead of print.

ABSTRACT

INTRODUCTION: Thanks to shared circulation in monochorionic twins, single intrauterine fetal death (IUD) may lead to acute feto-fetal transfusion (aFFTR). The objective of the study was to describe our model of aFFTR simulation after IUD in monochorionic (MC) twins.

METHODS: Prospective study analyzed 99 fresh MC placentas with the physiological course. A specially designed protocol was used for the preparation and analysis of the placentas. A pair of infusion sets fixed together using a mechanical mercury sphygmomanometer cuff was connected to the cannulated umbilical arteries. The tonometer was pressurized up to 30 and 40 mmHg. A positive finding of aFFTR was determined as the amount exceeding 1 ml of dye flowed out of the umbilical cord simulating a dead fetus. The number and types of anastomoses, types, and distances between cords insertions, and the size of the placental areas for each fetus were also statistically analyzed. The placental angioarchitecture with and without proven aFFTR was statistically compared, odds ratio (OR) and multivariable logistic analysis were performed.

RESULTS: A total of 49/99 (49.5%) cases of aFFTR was proven, and the average transfusion time of 1 ml was 30 s (19-46 s). aFFTR was present in 49/78 (62.8%) of placentas with arterio-arterial (AA) anastomosis. The median diameter of AA anastomoses with the present, and absent aFFTRF was 2.0 mm and 1.0 mm, respectively. The proven interfetal transfusion was 8%, 31%, and 61% in AA anastomoses with a diameter below 0,5 mm, 0,5-1,5 mm, and above 1,5 mm, respectively (p < 0,001). AA anastomoses diameter >1.5 mm had OR of 44.2 (95% CI 5.54-352.39). In the case of coexistence of AA anastomosis and umbilical cord distance ≤5th percentile, the aFFTRF occurred in 90.9%.

DISCUSSION: The potential risk of aFFTR in monochorionic twins is mainly due to the presence and nature of AA anastomoses. The diameter and length of the vessels play a crucial role, which is clinically related to the distance of the umbilical cords insertions.

PMID:34146967 | DOI:10.1016/j.placenta.2021.05.004

J Environ Manage. 2021 Jun 16;294:113059. doi: 10.1016/j.jenvman.2021.113059. Online ahead of print.

ABSTRACT

The accumulation of carbon dioxide in the atmosphere has surged over the years as a consequence of diverse humans activities such as deforestation and farming, in particular. The rapidly growing agriculture and farm mechanization have contributed to substantial increases in energy use and carbon dioxide emissions across the globe. It is hypothesized that agriculture significantly contributes to a country’s economy to which China is no exception. Hence, the main intention of the current study was to explore the asymmetrical influences of cereal crop production, forestry production, and economic progress on CO₂ emissions in China between 1970 and 2017. The non-linear ARDL (Autoregressive Distributed Lag) bounds testing method was used to determine the short- and long-run dynamics linked with positive and negative shocks to the explanatory variables. The findings indicate that positive shocks to cereal crop production deteriorate the atmospheric quality by intensifying carbon dioxide emissions only in the long run, while the impacts of negative shocks in this regard are statistically insignificant. Ironically, shocks to forestry do not exhibit any significant impact on China’s carbon dioxide emission levels. Moreover, carbon dioxide emissions demonstrate a strong progressive association with the positive shocks to energy resources utilized within the Chinese economy. Additionally, positive and negative shocks to economic progress are evidenced to boost and reduce the carbon dioxide emission figures in the long run. Lastly, negative shocks to livestock production are witnessed to increase carbon dioxide emissions only in the short run. Hence, for achieving the Chinese carbon-neutrality agenda, it is recommended to prioritize the use of renewable energy resources, particularly for producing cereal crops, in order to curb carbon dioxide emissions in China. Simultaneously, the Chinese economic growth policies should integrate environmentally-friendly schemes to counter the adversative environmental influences related to the economic progress in China.

PMID:34146929 | DOI:10.1016/j.jenvman.2021.113059

Meat Sci. 2021 Jun 12;181:108606. doi: 10.1016/j.meatsci.2021.108606. Online ahead of print.

ABSTRACT

The aim of this study was to explore the use of TD-NMR relaxometry and ¹H NMR spectroscopy-based for detecting differences in meat quality attributes. There was limited association between various TD-NMR signals and any physicochemical parameters of fresh and aged meat differing in tenderness ratings. Samples were then divided into three groups based on statistical changes in metabolite concentration. Group A samples possessed near linear increases in metabolite concentration over aging time; whereas samples assigned to Groups B and C were characterized by increases in metabolites that peaked between 7 and 14 days, and up to 14 days aging, respectively. ¹H NMR spectroscopy discriminated meat quality using changes in metabolites reflective of glycolysis, the citric acid cycle, protein degradation, amino acid generation and purine metabolisms. These data suggest segregation of meat quality is possible using both NMR technologies but additional work is necessary to understand fully their utility in a commercial industry setting.

PMID:34146920 | DOI:10.1016/j.meatsci.2021.108606