Regions of homozygosity (ROH) increase the risk of recessive disorders, and guidelines recommend reporting of excessive ROH in prenatal testing. However, ROH are common in populations that practice endogamy or consanguinity, and cutoffs for reporting ROH in such populations may not be evidence-based. We reviewed prenatal testing results (based on cytogenetic microarrays) from 2191 pregnancies in the Jewish and non-Jewish populations of Northern Israel and estimated the prevalence of ROH according to self-reported ethnicity and parental relationships. The proportion of the genome in ROH, ROH rate, was higher in non-Jews [Mean (SD) = 2.91% (3.92%); max = 25.54%; N = 689] than in Jews [Mean (SD) = 0.81% (0.49%); max = 3.93%; N = 1502]. In the non-Jewish populations, consanguineous marriages had the highest ROH rates [Mean (SD) = 7.14% (4.55%), N = 217], followed by endogamous [Mean (SD) = 1.13% (1.09%), N = 283] and non-endogamous [Mean (SD) = 0.69%(0. 56%), N = 189] marriages. ROH rates were greater than 5%, the ACMG-recommended cutoff, in 149/689 (21.63%) of the non-Jewish samples. Within the Jewish populations, the rates were similar between Ashkenazi, North African, and Middle Eastern Jews, but were higher for six consanguineous unions [Mean (SD) = 2.38% (1.23%)] and when spouses belonged to the same sub-population. Given the high ROH rates we observed in some subjects, we suggest that assessing the risk for recessive conditions in consanguineous/endogamous populations should be done before the first pregnancy, through genetic counseling and sequencing. Such an approach will: (1) identify couples who are at risk and counsel them on reproductive options; and (2) avoid the stress that couples who are not at risk may experience due to a prenatal ROH report.

ObjectivesWithin the multidisciplinary team, there can sometimes be lack of clarity as to the specific different contributions of each of the psycho-social-spiritual professionals: social workers, psychologist, and spiritual caregivers. This study examined the content of their end-of-life conversations with patients. MethodsA total of 180 patients with terminal cancer received standard multidisciplinary care, including conversations with a social worker, psychologist, and spiritual caregiver. After each patient's death, these professionals reported using a structured tool which content areas had arisen in their conversations with that patient. ResultsAcross all content areas, there were significant differences between social work and spiritual care. The difference between social work and psychology was slightly smaller but still quite large. Psychology and spiritual care were the most similar, though they still significantly differed in half the content areas. The differences persisted even among patients who spoke with more than 1 kind of professional. The 6 content areas examined proved to subdivide into 2 linked groups, where patients speaking about 1 were more likely to speak about the others. One group, "reflective" topics (inner and transpersonal resources, interpersonal relationships, one's past, and end of life), included all those topics which arose more often with spiritual caregivers or psychologists. The second group, "decision-making" topics (medical coping and life changes), was comprised of those topics which arose most commonly with social workers, bridging between the medical and personal aspects of care and helping patients navigate their new physical, psychological, and social worlds. Significance of resultsThese findings help shed light on the differences, in practice, between patients' conversations with social workers, psychologists, and spiritual caregivers and the roles these professionals are playing; can aid in formulating individualized care plans; and strengthen the working assumption that all 3 professions contribute in unique, complementary ways to improving patients' and families' well-being.

This study investigates breast cancer survival rates between 2000 and 2022 in northern Israel, focusing on ethnicity, socioeconomic status, age at diagnosis, and the Charlson Comorbidity Index. Analyzing data from Clalit Health Services, we studied 8,431 breast cancer patients (6,395 Jewish, 2,036 Arab). We compared five- and ten-year survival rates across different demographics. Ethnicity showed a minor impact on survival (OR 1.12, 95% CI: 0.93 - 1.35). Socioeconomic status had a significant effect, with a higher level of improving survival (OR 2.50, 95% CI: 2.04 - 3.08). Age was crucial; women 18-39 had better survival than 60-100, but no significant difference was found between the 18-39 and 40-59 age groups [OR (CI 0.90 - 1.53, p = 0.231)]. For the Charlson Comorbidity Index, women with scores of 3-10 showed lower survival compared to scores of 0 and 1-2. There was a notable improvement in five-year survival rates among patients aged 18-59 diagnosed from 2009-2018 (90.7%) compared to 2000-2008 (86.9%) (p = 0.0046), but not in patients aged 60-100. The study highlights that socioeconomic status, age, and comorbidity scores are significant in determining survival rates for breast cancer. The improvement in survival rates for younger patients diagnosed more recently reflects advancements in treatment and care. This research provides valuable insights into the factors affecting breast cancer survival rates, underscoring the role of socioeconomic status, age, and comorbidities while also highlighting the progress in breast cancer treatment over recent years.

Abstract Background Little is known about the impact of spiritual caregivers, psychologists, and social workers on desired end-of-life (EoL) medical outcomes, such as reduced use of aggressive care in the final 2 weeks of life, having more time between the last active oncological treatment and death, and increased hospice use. Patients and Methods We conducted a prospective study of 180 patients with cancer and their families, their interactions with social work, psychology, and spiritual care, and the above three treatment outcomes. Results We found that having one or more spiritual care visits (adjusted odds ratio (AOR) = 2.02; P = .04), having more quality visits with the psychologist (P = .01), and speaking with someone about one’s inner resources (AOR = 2.25; P = .03) all correlated with reduced EoL aggressive care. The key interventions correlating with increased time after final treatment were more visits with the spiritual caregiver or the social worker (AOR = 1.30; P < .001), and speaking about the medical treatment (AOR = 1.54; P < .001) and about interpersonal relationships (AOR = 2.28; P < .001). A subjectively good-quality connection with the spiritual caregiver correlated with increased hospice use (AOR = 10.00; P = .01). Conclusions Patients with cancer who availed themselves of the spiritual care, psychology, and social work services, each profession in distinct ways, had significantly different outcomes in their EoL medical treatment, including undergoing fewer futile aggressive measures, having more time after their last active treatment, and using hospice services more. These outcomes directly bear on improved quality of life and reduced costs.

Introduction: During the SARS-CoV-2 pandemic there was a considerable drop in the number of visits to Pediatric Emergency Departments (PED). Unplanned return visits (URV) might represent inadequate emergency care. We assessed the impact of the pandemic on early URV to PEDs in Israel.Methods: This multicenter cross-sectional study analyzed the 72-h URV to PEDs among patients under the age of 18 years during a one-year pandemic period (March 1st, 2020, to February 28th, 2021), and compared them with the 72-h URV of the corresponding pre-pandemic period (March 1st, 2019, to February 28th, 2020). Data was extracted from Clalit Health Services (CHS), the largest public health care organization in Israel.Results: The pandemic and pre-pandemic early URV rates were 5465 (5.1%) and 8775 (5.6%), respectively (OR = 0.90, 95% CI 0.92-0.99). The rate of return-visit admissions to hospital wards during these periods were 29.5% and 32.1%, respectively (OR = 0.83, 95% CI 0.86-0.98). The rate of return-visit admissions to ICUs during these period s were 0.64% and 0.52%, respectively (OR = 1.11, 95% CI 0.67-1.62). On return-visit, 3 (0.055%) and 5 (0.057%) URV patients were declared dead on arrival during the pandemic and pre-pandemic periods, respectively (OR = 0.96, 95% CI 0.23-4.03). The distributions of the time interval from index visit to return visit remained consistent between the periods.Discussion: In our study, early URV to PED's were only mildly influenced by the SARS-CoV-2 pandemic.(c) 2023 Published by Elsevier Inc.

The evaluation of an oil's oxidation status during industrial production is highly important for monitoring the oil's purity and nutritional value during production, transportation, storage, and cooking. The oil and food industry is seeking a real-time, non-destructive, rapid, robust, and low-cost sensor for nutritional oil's material characterization. Towards this goal, a 1H LF-NMR relaxation sensor application based on the chemical and structural profiling of non-oxidized and oxidized oils was developed. This study dealt with a relatively large-scale oil oxidation database, which included crude data of a 1H LF-NMR relaxation curve, and its reconstruction into T1 and T2 spectral fingerprints, self-diffusion coefficient D, and conventional standard chemical test results. This study used a convolutional neural network (CNN) that was trained to classify T2 relaxation curves into three ordinal classes representing three different oil oxidation levels (non-oxidized, partial oxidation, and high level of oxidation). Supervised learning was used on the T2 signals paired with the ground-truth labels of oxidation values as per conventional chemical lab oxidation tests. The test data results (not used for training) show a high classification accuracy (95%). The proposed AI method integrates a large training set, an LF-NMR sensor, and a machine learning program that meets the requirements of the oil and food industry and can be further developed for other applications.

Background Chronic kidney disease patients are at increased risk of mortality with cardiovascular diseases and infections as the two leading causes of death for end-stage kidney disease treated with hemodialysis (HD). Mortality from bacterial infections in HD patients is estimated to be 100-1000 times higher than in the healthy population. Methods We comprehensively characterized highly pure circulating neutrophils from HD and healthy donors. Results Protein levels and transcriptome of HD patients' neutrophils indicated massive neutrophil degranulation with a dramatic reduction in reactive oxygen species (ROS) production during an oxidative burst and defective oxidative cellular signaling. Moreover, HD neutrophils exhibit severely impaired ability to generate extracellular NET formation (NETosis) in NADPH oxidase-dependent or independent pathways, reflecting their loss of capacity to kill extracellular bacteria. Ectopic hydrogen peroxidase (H2O2) or recombinant human SOD-1 (rSOD-1) partly restores and improves the extent of HD dysfunctional neutrophil NET formation. Conclusions Our report is one of the first singular examples of severe and chronic impairment of NET formation leading to substantial clinical susceptibility to bacteremia that most likely results from the metabolic and environmental milieu typical to HD patients and not by common human genetic deficiencies. In this manner, aberrant gene expression and differential exocytosis of distinct granule populations could reflect the chronic defect in neutrophil functionality and their diminished ability to induce NETosis. Therefore, our findings suggest that targeting NETosis in HD patients may reduce infections, minimize their severity, and decrease the mortality rate from infections in this patient population.

The food quality of edible oils is dependent on basic chemical and structural changes that can occur by oxidation during preparation and storage. A rapid and efficient analytical method of the different steps of oil oxidation is described using a time-domain nuclear magnetic resonance (TD-NMR) sensor for measuring signals related to the chemical and physical properties of the oil. The degree of thermal oxidation of edible oils at 80 °C was measured by the conventional methodologies of peroxide and aldehyde analysis. Intact non-modified samples of the same oils were more rapidly analyzed for oxidation using a TD-NMR sensor for 2D T1-T2 and self-diffusion (D) measurements. A good linear correlation between the D values and the conventional chemical analysis was achieved, with the highest correlation of R2 = 0.8536 for the D vs. the aldehyde concentrations during the thermal oxidation of poly-unsaturated linseed oils, the oil most susceptible to oxidation. A good correlation between the D and aldehyde levels was also achieved for all the other oils. The possibility to simplify and minimize the time of oxidative analysis using the TD NMR sensors D values is discussed as an indicator of the oil's oxidation quality, as a rapid and accurate methodology for the oil industry.

Dear Editor On July 29, 2021, the Israeli Ministry of Health approved the third anti-Coronavirus disease 2019(COVID-19) vaccination (3rd-BNT162b2-booster-dose), leading to a sharp daily drop in diagnosed positive COVID-19 cases and mortality rates in Israel [1]. The booster dose increased severe acute respiratory syndrome coronavirus-2(SARS-CoV-2) neutralization efficiency approximately a hundred-fold compared to individuals receiving only the second dose, providing significant protection against infection [2]. Due to their immunocompromised condition, cancer patients may be more susceptible and generally more vulnerable to infections [3]. Indeed, due to the chronic weakening of their immune system, cancer patients are at higher risk of developing severe clinical outcomes from SARS-CoV-2 infection and are associated with an increased risk of morbidity and mortality [3]. Cancer patients treated with anticancer drugs or undergoing major surgery have double the risk of developing a severe illness, hospitalization, and death due to COVID19 [3, 4]. Early studies on cancer patients in Israel who received the second BNT162b-booster-dose indicated a noticeable lag in antibody production compared to controls, despite the comparable seroconversion rate tested four weeks after administration [5]. No adverse effects or interaction between immunoglobulin G (IgG) levels and active anticancer therapies, such as chemotherapy or radiation, were reported [4]. Recently, a study evaluating immune response 4-weeks after administration by cancer patients receiving the 3rd-BNT162b2-boosterdose indicated an efficient anti-COVID-19 immunity when neither gender nor chemotherapy status was associated

Cancer-related pain constitutes a dominant reason for admission to emergency services, and a significant patient and healthcare challenge. Evidence points to the rising prevalence of opioid misuse in this patient group. We sought to compare drug delivery in an oncology-dedicated emergency department (OED) and a general emergency department (GED) within the same hospital. As such, we obtained patient and drug-related data for OED and GED during a designated three-month period, and compared them using Fisher's exact test, chi-square tests and the Mann-Whitney test. In total, 584 patients had 922 visits to emergency services (OED n = 479; GED n = 443), and were given 1478 drugs (OED n = 557; GED n = 921). Pain was a prominent chief complaint among visitors to the OED (17%) and GED (21%). Approximately a fifth of all drugs used were analgesics (OED-18.5%; GED-20.4%), however, in the GED, 51.6% (n = 97) were used for non-pain-related admissions, compared with 33.0% (n = 34) in OED. Opioid usage significantly differed between emergency settings. The GED administered three times as many intravenous opioids (p <0.001), a narrower spectrum of oral and intravenous drugs (p = 0.003) and no rapid-acting opioids, significantly fewer pain adjuvants (10.9% versus 18.7%, p < 0.001), and, finally, non-guideline-recommended drugs for pain, such as meperidine and benzodiazepines. Taken together, compared with the GED, the management of cancer-related pain in the OED was more personalized, and characterized by fewer intravenous opioids, enhanced diversity in drug type, route and method of delivery. Efforts should be directed toward reduction of disparities in the treatment of cancer pain in emergency settings.

e24076 Background: Cancer-related pain constitutes a dominant reason for admission to emergency services, and a significant patient and healthcare challenge. Evidence points to the rising prevalence of opioid misuse in this patient group. We sought to compare drug delivery in an oncology-dedicated emergency department (OED) and a general emergency department (GED) within the same hospital. Methods: Electronic files of patients with cancer seeking emergency services in a three-month period were obtained from the hospital registry. Data on patient demographics and drug-related characteristics were determined. Drug administration was compared between groups and thereafter according to admission types, using Fisher’s exact test, chi-square test and Mann-Whitney test. Results: In total, 584 patients had 922 visits to emergency services (OED n = 479; GED n = 443), and were administered 1815 drugs (OED n = 825; GED n = 990). Patient demographics and admission types were balanced between groups. Pain was the most common chief complaint (17% OED; 21% GED). In the OED, 12.5% of drugs were direct analgesics, compared with 19% in the GED. Opioids were prescribed more often in the GED than the OED (p = 0.008), significant for both pain related and non-pain related admissions, notably gastrointestinal and infectious conditions. Treatment in the GED was associated with delivery of three times as many intravenous opioids (p < 0.001), a narrower spectrum in selection of oral and intravenous opioids (p = 0.003) and non-opioid analgesics, lower usage of pain adjuvants and rapid-acting opioids (p = 0.003), and finally, the administration of agents not recommended for cancer pain treatment, such as meperidine and benzodiazepines (p = 0.003). Similar utilization of resuscitative fluids, gastrointestinal agents and antiemetics was observed between groups, with larger variation in drug choice in the OED (p = 0.001). The OED showed greater usage of bisphosphonates and growth factors; conversely, antibiotics, blood products, clotting agents, antihypertensive and diabetic drugs, predominated in the GED. Conclusions: Compared to the GED, management of cancer-related pain in the OED is characterized by fewer opioids, enhanced diversity in drug type, route and method of delivery. Emergency services should be incorporated in cancer programs to promote safe and effective urgent care.

Cultural ecosystem services (CES) are important components of urban quality of life. Public participation GIS (PPGIS) is widely used to assess and map these services. However, it is often a time-consuming exercise with which only small spatial and temporal scales can be addressed. Assessments based on geolocated, passively crowdsourced data from social media present new opportunities to assess CES through a large amount of available data and for broad spatial and temporal scales. We assess the potential of these two methods to substitute, supplement or complement each other in terms of the qualitative information they provide (i.e., landscape features of interest and CES). We take as a case study seven green and blue open spaces of the city of Haifa (Israel), each presenting different elements of interest in the landscape and degrees of accessibility. Results indicate that the two methods provide unique results and are complementary in many instances. We discuss the representativeness of the social media data, the strength of the two methods with respect to the qualitative information obtained, the specificities related to the urban context and the instances of complementarity. We suggest that crowdsourced social media data should be included in broad, multi-methodological approaches to CES.

In this work, descriptive analysis (DA) and consumer panels were conducted on "Hass" and "3-29-5" (GEM® ) avocados, grown in southern California. Both panels encompassed at least five time points across the 2019 harvest season. The DA panel identified and evaluated overall richness, creamy, smooth, watery, oily, sweet, bitter, umami, salty, astringent, buttery, nutty, and green. The texture attributes received the highest scores in both "Hass" and "3-29-5." Both varieties increased in richness, creaminess, and oiliness at harvests 5 and 6. The consumer panel found that "3-29-5" showed more changes in its eating experience over the season than "Hass," which agreed with dry weight data collected in a simultaneous analytical study. Correspondence analysis indicated that "Hass" samples had a consistent sensory profile over the harvest season, whereas "3-29-5" changed substantially, becoming more closely associated with a positive eating experience late in the harvest season. This is the first work to characterize avocado flavor over the harvest season using both trained and consumer sensory panels. PRACTICAL APPLICATION: Many aspects of avocado were found to have some impact on flavor, but textural properties were by far the most important in determining how well the fruit was liked. This information will be useful in future taste evaluations of avocado and the ongoing development of new avocado varieties.

Objective: The aim of this cross-sectional questionnaire-based study was to identify associations between the doses of cannabinoids and terpenes administered, and symptoms of attention deficit hyperactivity disorder (ADHD). Methods: Participants were adult patients licensed for medical cannabis (MC) treatment who also reported a diagnosis of ADHD by a physician. Data on demographics, ADHD, sleep, and anxiety were collected using self-report questionnaires. Data collected on MC treatment included administration route, cultivator, cultivar name, and monthly dose. Comparison statistics were used to evaluate differences in reported parameters between low (20-30 g, n=18) and high (40-70 g, n=35) MC monthly dose and low adult ADHD self-report scale (ASRS, 0-5) score (i.e. 3.17 score, n=30) or high ASRS score (i.e. 3.18 score, n=29) subgroups. Results: From the 59 patients that answered the questionnaire, MC chemovar could be calculated for 27 (45%) of them. The high MC monthly dose group consumed higher levels of most phyto-cannabinoids and terpenes, but that was not the case for all of the cannabis components. The high dose consumers and the ones with lower ASRS score reported a higher occurrence of stopping all ADHD medications. Moreover, there was an association between lower ASRS score subgroup and lower anxiety scores. In addition, we found an association between lower ASRS score and consumption of high doses of cannabinol (CBN), but not with Delta-9-tetrahydrocannabinol (THC). Conclusion: These findings reveal that the higher-dose consumption of MC components (phytocannabinoids and terpenes) is associated with ADHD medication reduction. In addition, high dosage of CBN was associated with a lower ASRS score. However, more studies are needed in order to fully understand if cannabis and its constituents can be used for management of ADHD.

We recently showed, in a simulation study using two artificial signals, that our PDCO (Primal Dual interior method for Convex Objectives) reconstruction algorithm can be efficiently used for the reconstruction of low-field proton nuclear magnetic resonance (1H LF-NMR) relaxation signals into T1 (spin–lattice) vs. T2 (spin–spin) time 2D graphs of a material’s composition. In the present study, for highly complex materials, we demonstrate the PDCO’s reconstruction efficacy for a much wider range of simulated signals with higher complexity and different signal-to-noise ratios (SNR) taken from actual reconstructed 1H LF-NMR spectroscopy signals of oleic acid and cattle manure. The optimal regularization parameters of the PDCO’s reconstructing algorithm were identified for this large range of simulated LF-NMR signals and noise values. These simulated compact graphical and numerical representations demonstrated 1H LF-NMR relaxation signals of complex materials can be accurately reconstructed into T1 − T2 time graphs of a material’s chemical and morphology. The present study further confirmed that an optimal single set of regulatory parameters for the data reconstruction algorithms could be used for different materials or different batches of the same material.

Cannabis or its derivatives are widely used by patients with cancer to help with cancer symptoms and treatment side effects. However, cannabis has potent immunomodulatory properties. To determine if cannabis consumption during immunotherapy affects therapy outcomes, we conducted a prospective observatory study including 102 (68 immunotherapy and 34 immunotherapy plus cannabis) consecutive patients with advanced cancers who initiated immunotherapy. Cannabis consumption correlated with a significant decrease in time to tumor progression and overall survival. On the other hand, the use of cannabis reduced therapy-related immune-related adverse events. We also tested the possibility that cannabis may affect the immune system or the tumor microenvironment through the alteration of the endocannabinoid system. We analyzed a panel of serum endocannabinoids (eCBs) and eCB-like lipids, measuring their levels before and after immunotherapy in both groups. Levels of serum eCBs and eCB-like lipids, before immunotherapy, showed no significant differences between cannabis users to nonusers. Nevertheless, the levels of four eCB and eCB-like compounds were associated with patients’ overall survival time. Collectively, cannabis consumption has considerable immunomodulatory effects, and its use among cancer patients needs to be carefully considered due to its potential effects on the immune system, especially during treatment with immunotherapy.

Therapeutic use of medical cannabis among cancer patients has become highly prevalent, while its overall effects on the immune system are unclear. This study aims to determine if cannabis consumption during immunotherapy affects therapy outcome for patients with advanced malignancies. The study was conducted at single Oncology center, in Israel between 01 Sep 2016 and 25 Sep 2018; included 102 [68 immunotherapy alone (I-G) and 34 immunotherapy plus cannabis (IC-G)] consecutive patients with advanced cancers who initiated one of the checkpoint inhibitors. Blood samples were taken before immunotherapy treatment. Endocannabinoid (eCB) levels from various lipid families, were evaluated in a subgroup of 36 patients. Safety and effectivity of cannabis treatment in advanced cancers commencing treatment with immune checkpoint blockers was evaluated with time to tumor progression (TTP) used as a post hoc primary endpoint and overall survival (OS) and eCB concentrations as secondary endpoints with a minimum follow-up time of 7 months. Kaplan Maier curve showed a significant difference in TTP [I-G 13.1m (95%CI 6.0-NAm) vs. IC-G 3.4m (95%CI 1.8-6.0m), p=0.0025] and OS [IG 28.5m (95%CI 15.6-NAm) vs. IC-G 6.4m (95%CI 3.2-9.7m), p=0.0009]. After adjusting for the line of treatment, Cox regression analysis showed that cannabis consumption decreases OS (HR= 2.18, 95%CI 1.241-3.819. p=0.007) and TTP (HR= 1.95, 95%CI 1.17-3.26. p=0.011). The use of cannabis reduced grade ≥2 immune-related adverse events (iAE) (I-G 39% vs. IC-G 21%, p=0.057). Further analysis of baseline levels of circulating eCB from various lipid families showed no significant changes in their overall concentrations. However, analyzing a cohort comparing patients with progressive disease to those with complete remission correlates baseline eCB levels and expected OS, suggesting that the eCB system may play a role in immunotherapy outcomes. Initiating immunotherapy with cannabis use negatively affects OS and TTP of cancer patients treated with immunotherapy.

Diabetes mellitus is linked with metabolic stress that induces cellular damage and can provoke renal inflammation and fibrotic responses that eventually lead to chronic kidney disease. Because the inflammasome, interleukin 1 (IL-1), IL-1α/IL-β, and IL-1R are central elements of kidney inflammation and pharmacological IL-1R antagonist (IL-1Ra) was shown to prevent or even reverse diabetic nephropathy (DN) in animal models, we explored the intrinsic expression of IL-1 molecules in kidney tissue of DN patients as regulators of renal inflammation. We used biopsies taken from DN patients and controls and show a high level of IL-1α expression in renal tubular epithelial cells, whereas both IL-1 agonistic molecules (i.e., IL-1α and IL-1β) were devoid of the glomeruli. Human proximal tubular kidney HK-2 cells exposed to high glucose (HG) gradually increase the expression of IL-1α but not IL-1β and induce the expression and deposition of extracellular matrix (ECM) proteins. We further demonstrate that in vitro ectopic addition of recombinant IL-1α in low glucose concentration leads to a similar effect as in HG, while supplementing excess amounts of IL-1Ra in HG significantly attenuates the ECM protein overexpression and deposition. Accordingly, inhibition of IL-1α cleaving protease calpain, but not caspapse-1, also strongly reduces ECM protein production by HK-2 cells. Collectively, we demonstrate that IL-1α and not IL-1β, released from renal tubular cells is the key inflammatory molecule responsible for the renal inflammation in DN. Our result suggests that the clinical use of IL-1Ra in DN should be promoted over the individual neutralization of IL-1α or IL-1β in order to achieve better blocking of IL-1R signaling.

Polyunsaturated fatty acids (PUFA) are components of many commercial products such as edible oils, foods, cosmetics, medication, and in biological systems such as phospholipids of cellular membranes. Although PUFA aggregates are important functional components, they are also related to system degradation, because PUFA are susceptible to oxidation via their multiple double bonds and allylic carbons. Current technologies are not effective in characterizing the morphological and chemical structural domains of saturated, monounsaturated fatty acids (MUFA) and PUFA materials, or how the morphological structures of fatty acids, at the mesomolecular, nanomolecular, and molecular levels, affect their oxidation mechanisms. In this article, the H-1 low-field (LF) NMR energy relaxation time technology is proposed as a tool to analyze PUFA oils undergoing thermal oxidation. This technology generates two-dimensional (2D) chemical and morphological spectra using a primal-dual interior method for the convex objectives (PDCO) optimization solver for computational processing of the energy relaxation time signals T-1 (spin-lattice) and T-2 (spin-spin). The 2D graphical maps of T-1 vs. T-2 generated for butter, rapeseed oil, soybean oil, and linseed oil show that the different degrees of unsaturation of fatty-acid oils affect their chemical and morphological domains, which influences their oxidative propensity. The technology of the H-1 LF-NMR energy relaxation time proved to be an effective tool to characterize and monitor PUFA oxidation.