The relationship between Dietary Inflammatory Index and disease severity and inflammatory status: a case-control study of COVID-19 patients.

Numerous studies have revealed strong relationships between COVID-19 and inflammation. However, the imminent link between diet-related inflammation and the COVID-19 risk has not been addressed before. So, we explored the capability of the Energy-Adjusted Dietary Inflammatory Index (E-DII) to predict the inflammatory markers, incidence and severity of COVID-19. We conducted a case-control study consisting of 120 adults; they had been admitted for COVID-19 at hospital during June and July, 2020. The E-DII score was calculated based on the dietary intake, which was evaluated by a 138-item semi-quantitative food frequency questionnaire. Serum levels of inflammatory markers including the Erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and White blood cells (WBCs) differential were measured. Severity of disease was assessed by chest radiology criteria. Patients with the maximum pro-inflammatory energy adjusted E-DII score had 7·26 times greater odds of developing COVID-19, as compared to those in tertiles 1 (E-DII T3v. E-DII T1: OR = 7·26; 95 % CI 2·64 to 9·94, P < 0·001). Also, a positive association between E-DII and C-reactive protein (CRP) was observed (BE-DII = 1·37, 95 % CI 0·72, 2·02), such that with each unit increase in E-E-DII, the CRP levels were increased by 1·37 units. Furthermore, a significant association was found between E-DII and the severity of disease (BE-DII = 0·03, 95 % CI 0·01, 0·06. 0·024). Patients consuming a diet with a higher pro-inflammatory potential were at a greater risk of COVID-19 occurrence; also, the severity of disease was elevated with a high score inflammatory diet.

An antiviral trap made of protein nanofibrils and iron oxyhydroxide nanoparticles.

Minimizing the spread of viruses in the environment is the first defence line when fighting outbreaks and pandemics, but the current COVID-19 pandemic demonstrates how difficult this is on a global scale, particularly in a sustainable and environmentally friendly way. Here we introduce and develop a sustainable and biodegradable antiviral filtration membrane composed of amyloid nanofibrils made from food-grade milk proteins and iron oxyhydroxide nanoparticles synthesized in situ from iron salts by simple pH tuning. Thus, all the membrane components are made of environmentally friendly, non-toxic and widely available materials. The membrane has outstanding efficacy against a broad range of viruses, which include enveloped, non-enveloped, airborne and waterborne viruses, such as SARS-CoV-2, H1N1 (the influenza A virus strain responsible for the swine flu pandemic in 2009) and enterovirus 71 (a non-enveloped virus resistant to harsh conditions, such as highly acidic pH), which highlights a possible role in fighting the current and future viral outbreaks and pandemics.

Amyloid hybrid membranes for bacterial & genetic material removal from water and their anti-biofouling properties.

Water scarcity and contamination by biological pollutants are global challenges that significantly affect public health. Reverse osmosis, nanofiltration and ultrafiltration technologies are very effective for the elimination of pathogens and most contaminants but associated with considerable capital and operating costs, high energy consumption and the use of chlorinated chemicals to suppress membrane fouling. Additionally, the pressure needed by these techniques may disrupt the pathogenic microbial cell membranes, causing the release of genetic material (fragments of DNA, RNA and plasmids) into the water. Here, we introduce the simultaneous removal of both bacteria and associated genetic material using amyloid hybrid membranes, via a combined adsorption and size exclusion mechanism. Amyloid hybrid membranes can remove upto and beyond 99% of the genetic material by adsorption, where amyloid fibrils act as the primary adsorbing material. When the same membranes are surface-modified using chitosan, the anti-biofouling performance of the membranes improved significantly, with a bacterial removal efficiency exceeding 6 log.

Diagnostic accuracy of sonohysterography compared to endometrial biopsy in pre-menopausal women with abnormal uterine bleeding.

BACKGROUND: AUB is a common cause of women's referring to gynecologists. Although hysteroscopy is known as the gold standard technique for diagnosing the cause of AUB, sonohysterography is less invasive, and it is performed by general gynecologists. The purpose of this study was to evaluate the diagnostic performance of sonohysterography compared to the results of the endometrial biopsy, guided by hysteroscopy in premenopausal women with AUB. METHODS: This cross- sectional Study was conducted at the gynecological clinic of Roointan -Arash women's Hospital from February 2011 to February 2012. The study participants were 90 premenopausal female patients, who visited the clinic for AUB, for whom, hormonal, iatrogenic and systemic causes were ruled out. They underwent sonohysterography and hysteroscopy and endometrial biopsy. The results of sonohysterography and pathological reports of endometrial biopsy were compared, and the diagnostic accuracy of sonohysterography for normal endometrium, endometrial polyps, sub mucosal fibroids and endometrial hyperplasia was evaluated. RESULTS: The diagnostic accuracy of sonohysterography was found to be 89.1% for the normal endometrium, 90% for endometrial polyps, 99% for sub mucosal fibroids and 94.4% for endometrial hyperplasia. CONCLUSION: Sonohysterography is an accurate, non-invasive and cost-effective method for diagnosing AUB causes compared to hysteroscopy and endometrial biopsy. Therefore, as an initial diagnostic step, it can replace the alternative and less accurate methods such as transvaginal ultrasound, blind endometrial curettage or more costly and invasive methods such as hysteroscopy requiring anesthesia.

CMK-3 nanoporous carbon as a new fiber coating for solid-phase microextraction coupled to gas chromatography-mass spectrometry.

CMK-3 nanoporous carbon was prepared and characterized as a highly porous fiber coating, with a highly ordered carbon framework, for solid-phase microextraction (SPME). The nanomaterial was immobilized onto platinum, stainless steel and copper metal wires for preparation of new SPME fibers. The copper-CMK-3 fiber showed superior properties and therefore was applied for extraction of some phenolic compounds in combination with GC-MS. For optimization of the extraction conditions, a simplex optimization method was used. The selected conditions were: sample volume 13 ml, extraction temperature 56°C, extraction time 7 min, ultrasonic time 5.5 min, pH 5 and salt concentration 8.9%. The selected fiber showed some selectivity towards the polar phenolic compounds and its extraction efficiency was better than a commercial PDMS fiber. Linear calibration curves with correlation coefficients better than 0.99 and detection limits in the range from 0.002 to 0.068 µg mL(-1) were obtained for the fiber. No significant change was observed in the extraction efficiency of the new SPME fiber over at least 40 extractions. The fiber was successfully used for the determination of phenolic compounds in natural water samples.

Reversed-phase dispersive liquid-liquid microextraction with central composite design optimization for preconcentration and HPLC determination of oleuropein.

A reversed-phase dispersive liquid-liquid microextraction (RP-DLLME) method was developed for the preconcentration and direct HPLC determination of oleuropein in olive's processing wastewater (OPW) and olive leaves extracts. In conventional DLLME, the sedimented phase is a micro-drop of a chlorinated organic solvent that is not compatible with RP-HPLC. Therefore, solvent evaporation and reconstitution with an appropriate solvent is often required. In RP-DLLME, this problem was overcome by overturning the solvent polarity in the ordinary DLLME and replacing the organic solvent with water. A central composite chemometrics design was used for multivariate optimization of the effects of five different parameters influencing the extraction efficiency of the method. In the optimized conditions, a mixture of 1.4 mL of an ethyl acetate extract of sample and 40 microL water (pH 5.0) was rapidly injected into 5.3 mL of cyclohexane. After centrifugation of the formed cloudy mixture, a micro-drop of the aqueous phase was sedimented at the conical bottom of the centrifuge tube. This phase, that contained the preconcentrated and partially purified analyte, was directly injected into an RP-HPLC column for analysis. A mean extraction recovery of 102.5 (+/-4.5) % with enrichment factors exceeding 38, was obtained for five replicated analysis. The detection limit of the method (3 sigma) for OE was 0.02 microg L(-1) for OPW and 2 x 10(-3) mg kg(-1) for olive leaves samples. The results showed that, RP-DLLME is a promising technique which is quick, easily operated and can be directly coupled to HPLC.