Organophosphate pesticide-induced toxicity through DNA damage and DNA repair mechanisms.

Organophosphate pesticides (OPs) are widely used in agriculture, healthcare, and other industries due to their ability to kill pests. However, OPs can also have genotoxic effects on humans who are exposed to them. This review summarizes the research on DNA damage caused by OPs, the mechanisms behind this damage, and the resulting cellular effects. Even at low doses, OPs have been shown to damage DNA and cause cellular dysfunction. Common phenomena seen in cells that are exposed to OPs include the formation of DNA adducts and lesions, single-strand and double-strand DNA breaks, and DNA and protein inter and intra-cross-links. The present review will aid in comprehending the extent of genetic damage and the impact on DNA repair pathways caused by acute or chronic exposure to OPs. Additionally, understanding the mechanisms of the effects of OPs will aid in correlating them with various diseases, including cancer, Alzheimer's, and Parkinson's disease. Overall, knowledge of the potential adverse effects of different OPs will help in monitoring the health complications they may cause.

Hevea brasiliensis coniferaldehyde-5-hydroxylase (HbCAld5H) regulates xylogenesis, structure and lignin chemistry of xylem cell wall in Nicotiana tabacum.

KEY MESSAGE: The HbCAld5H1 gene cloned from Hevea brasiliensis regulates the cambial activity, xylem differentiation, syringyl-guaiacyl ratio, secondary wall structure, lignification pattern and xylan distribution in xylem fibres of transgenic tobacco plants. Molecular characterization of lignin biosynthesis gene coniferaldehyde-5-hydroxylase (CAld5H) from Hevea brasiliensis and its functional validation was performed. Both sense and antisense constructs of HbCAld5H1 gene were introduced into tobacco through Agrobacterium-mediated genetic transformation for over expression and down-regulation of this key enzyme to understand its role affecting structural and cell wall chemistry. The anatomical studies of transgenic tobacco plants revealed the increase of cambial activity leading to xylogenesis in sense lines and considerable reduction in antisense lines. The ultra-structural studies showed that the thickness of secondary wall (S2 layer) of fibre had been decreased with non-homogenous lignin distribution in antisense lines, while sense lines showed an increase in S2 layer thickness. Maule color reaction revealed that syringyl lignin distribution in the xylem elements was increased in sense and decreased in antisense lines. The immunoelectron microscopy revealed a reduction in LM 10 and LM 11 labelling in the secondary wall of antisense tobacco lines. Biochemical studies showed a radical increase in syringyl lignin in sense lines without any significant change in total lignin content, while S/G ratio decreased considerably in antisense lines. Our results suggest that CAld5H gene plays an important role in xylogenesis stages such as cambial cell division, secondary wall thickness, xylan and syringyl lignin distribution in tobacco. Therefore, CAld5H gene could be considered as a promising target for lignin modification essential for timber quality improvement in rubber.

Comparative studies on removal of heavy metals from electroplating wastewater through soil aquifer treatment (SAT) in conjunction with adsorbents.

The study demonstrates the efficiency of the soil aquifer treatment (SAT) towards removal of heavy metals within electroplating wastewater thereby rendering it suitable for ground water discharge. The unique proposition of this research is to use a combination of soil and adsorbent properties to enhance the remediation of heavy metals such as nickel, copper and zinc. A comparative study through statistical analysis is employed to illustrate the effectiveness of the various SAT systems build using various combinations of SM and SC soil types along with bioadsorbents such as eucalyptus leaves, sawdust and Mosambi peel. Further, the mass balance analysis of heavy metals is carried out to comprehend the course of expulsion. The study, through a statistical approach, endorses that the SAT in conjunction with adsorbent gives much better removal efficiency than the SAT without adsorbent. Additional removal efficiency of 14% to 30% can be achieved with introduction of adsorbents within the SAT system. The optimal removal efficiency of nickel, copper and zinc was observed to be at 87, 98 and 93% respectively when passed through the combination of SM soil with sawdust.

Distinguished Service Awards in Anesthesiology Specialty Societies: Analysis of Gender Differences.

The authors queried 9 anesthesiology societies to examine Distinguished Service Award recipients over time by gender. Of the 211 total Distinguished Service Awards given by all 9 societies, women received 25 (11.8%). Comparing pre-2008 data to the most recent decade, there was no statistical difference in the number of women Distinguished Service Award recipients with 8.9% and 17.1% women Distinguished Service Award recipients, respectively (P = .076). Societies varied greatly in their women awardees, from 40% to 0% in the last decade. Low levels of awardees stand in contrast to the increasing number of women in the academic pipeline. The authors recommend that societies collect gender membership data and study their award processes from nomination to selection.

Pilot Survey of Female Anesthesiologists' Childbearing and Parental Leave Experiences.

While the literature regarding physicians' childbearing experiences is growing, there are no studies documenting those of anesthesiologists. We surveyed a convenience sample of 72 female anesthesiologists to obtain pilot data. Sixty-six women completed the survey (91.7% response rate), reporting 113 total births from before 1990 to present. Of all birth experiences, proportions of respondents reporting parental leave, lactation facilities, and lactation duration as adequate were 52.3%, 45.2%, and 58.3%, respectively. Most mothers (51.8%) gave birth to their first child while they were trainees. The majority (94.9%) favored an official statement supporting parental leave. These results may serve as groundwork for larger studies.

Comparison of Platform Switched and Sloping Shoulder Implants on Stress Reduction in various Bone Densities: Finite Element Analysis.

INTRODUCTION: Comparison of platform switched (PS), sloping shoulder, and regular implants on stress reduction in various bone densities with finite element analysis. MATERIALS AND METHODS: A total of 12 three-dimensional finite element models were built to analyze the stress distribution model. Nobel Biocare 4.3 × 8 mm regular platform replace select implant with matching diameter easy abutment, Nobel Biocare 4.3 × 8 mm replace select implant PS with 3.5 mm diameter easy abutment, Bicon 4 × 8 mm implant with 4 mm diameter sloping shoulder abutments were created virtually in compact bone density using software. The 130 N axial force and a 90 N oblique loading force were applied to the abutment to analyze the stress. RESULTS: Under horizontal and vertical loading, the sloping shoulder implant had lesser stresses in cancellous bone when compared with PS and regular implants. Sloping shoulder implant showed more stress distribution at implant-abutment interface and at crestal area, whereas with regular implants, the stresses were distributed at cortical area. CONCLUSION: Sloping shoulder implant in subcrestal position is much favorable for bone growth, stress distribution, and preservation of remaining bone. CLINICAL SIGNIFICANCE: Use of sloping shoulder implant design distributes the stress apically and creates lesser stresses when compared with PS implants.

Outbreaks associated with duodenoscopes: new challenges and controversies.

PURPOSE OF REVIEW: Recent outbreaks of carbapenem-resistant enterobacteriaceae related to duodenoscopes in the United States and Europe have gained international attention and resulted in new regulations, especially in the United States, affecting healthcare facilities. In this review, we summarize findings from recent duodenoscope-related outbreaks, highlight what is known about the risk of transmission from these devices and discuss controversies about current recommendations to prevent transmission. RECENT FINDINGS: Between 2013 and 2015, several US and European healthcare facilities reported outbreaks of carbapenem-resistant enterobacteriaceae associated with endoscopic retrograde cholangiopancreatography procedures. Unlike prior outbreaks (attributed to lapses in cleaning and reprocessing), the recent outbreaks occurred in spite of adherence to current reprocessing guidelines. Factors associated with infection transmission include a low margin of safety for gastrointestinal endoscopic procedures and complex design features of duodenoscopes. Outbreaks were halted with enhanced cleaning and surveillance measures or by adopting gas sterilization methods. New guidance from manufacturers and federal agencies has been issued as a result of these recent outbreaks; however, concerns remain that the new measures may not eliminate risks to patients. SUMMARY: Recent duodenoscope-related outbreaks have highlighted the need for a reassessment of current guidelines for endoscope reprocessing and for new design of duodenoscope components. Although we summarize the US experience, this review has global implications for the safe cleaning and disinfection of these instruments.

New cytotoxic clerodane diterpenes from the leaves of Premna tomentosa.

Bio-activity directed investigation of hexane extract from the leaves of Premna tomentosa led to the isolation of three new clerodane diterpenes (1-3) along with four known compounds (4-7). The structures of new compounds were established using IR, MS, 1D, and 2D NMR techniques. The in vitro cytotoxicity of the crude hexane extract and the isolated compounds were evaluated against seven human cancer cell lines and results indicated that compounds 2 and 4 depicted significant cytotoxicity against hepatocellular carcinoma cell line.

Type 2 Diabetes Mellitus Prevalence and Associated Risk Factors in Postmenopausal Women.

Introduction Type 2 diabetes mellitus (T2DM) is the most common problem in postmenopausal women. This study aimed to find out the prevalence of T2DM and its risk factors in postmenopausal women. Methods The study is a population-based cross-sectional study. Anthropometric measurements, blood pressure, and biochemical measurements of 2295 postmenopausal women up to the age of 55 years were taken following face-to-face interviews. Odds ratio was used to find out the role of risk factors associated with T2DM. Results Prevalence of T2DM was reported to be 15.51%. Significant contribution of waist circumference (WC) followed by body mass index (BMI), total cholesterol (TC), and triglycerides (p<0.05) was noted in increasing the risk of T2DM. No association was found between T2DM and hypertension (p>0.05). Conclusion A high prevalence of T2DM was reported in postmenopausal women. Higher levels of BMI, WC, TC, and triglycerides were found to be the major risk factors for T2DM.

SHEA position statement on pandemic preparedness for policymakers: building a strong and resilient healthcare workforce.

Throughout the COVID-19 pandemic, many areas in the United States experienced healthcare personnel (HCP) shortages tied to a variety of factors. Infection prevention programs, in particular, faced increasing workload demands with little opportunity to delegate tasks to others without specific infectious diseases or infection control expertise. Shortages of clinicians providing inpatient care to critically ill patients during the early phase of the pandemic were multifactorial, largely attributed to increasing demands on hospitals to provide care to patients hospitalized with COVID-19 and furloughs.1 HCP shortages and challenges during later surges, including the Omicron variant-associated surges, were largely attributed to HCP infections and associated work restrictions during isolation periods and the need to care for family members, particularly children, with COVID-19. Additionally, the detrimental physical and mental health impact of COVID-19 on HCP has led to attrition, which further exacerbates shortages.2 Demands increased in post-acute and long-term care (PALTC) settings, which already faced critical staffing challenges difficulty with recruitment, and high rates of turnover. Although individual healthcare organizations and state and federal governments have taken actions to mitigate recurring shortages, additional work and innovation are needed to develop longer-term solutions to improve healthcare workforce resiliency. The critical role of those with specialized training in infection prevention, including healthcare epidemiologists, was well-demonstrated in pandemic preparedness and response. The COVID-19 pandemic underscored the need to support growth in these fields.3 This commentary outlines the need to develop the US healthcare workforce in preparation for future pandemics.

SHEA position statement on pandemic preparedness for policymakers: introduction and overview.

Throughout history, pandemics and their aftereffects have spurred society to make substantial improvements in healthcare. After the Black Death in 14th century Europe, changes were made to elevate standards of care and nutrition that resulted in improved life expectancy.1 The 1918 influenza pandemic spurred a movement that emphasized public health surveillance and detection of future outbreaks and eventually led to the creation of the World Health Organization Global Influenza Surveillance Network.2 In the present, the COVID-19 pandemic exposed many of the pre-existing problems within the US healthcare system, which included (1) a lack of capacity to manage a large influx of contagious patients while simultaneously maintaining routine and emergency care to non-COVID patients; (2) a "just in time" supply network that led to shortages and competition among hospitals, nursing homes, and other care sites for essential supplies; and (3) longstanding inequities in the distribution of healthcare and the healthcare workforce. The decades-long shift from domestic manufacturing to a reliance on global supply chains has compounded ongoing gaps in preparedness for supplies such as personal protective equipment and ventilators. Inequities in racial and socioeconomic outcomes highlighted during the pandemic have accelerated the call to focus on diversity, equity, and inclusion (DEI) within our communities. The pandemic accelerated cooperation between government entities and the healthcare system, resulting in swift implementation of mitigation measures, new therapies and vaccinations at unprecedented speeds, despite our fragmented healthcare delivery system and political divisions. Still, widespread misinformation or disinformation and political divisions contributed to eroded trust in the public health system and prevented an even uptake of mitigation measures, vaccines and therapeutics, impeding our ability to contain the spread of the virus in this country.3 Ultimately, the lessons of COVID-19 illustrate the need to better prepare for the next pandemic. Rising microbial resistance, emerging and re-emerging pathogens, increased globalization, an aging population, and climate change are all factors that increase the likelihood of another pandemic.4.

Society for Healthcare Epidemiology of America position statement on pandemic preparedness for policymakers: mitigating supply shortages.

The COVID-19 has had major direct (e.g., deaths) and indirect (e.g., social inequities) effects in the United States. While the public health response to the epidemic featured some important successes (e.g., universal masking ,and rapid development and approval of vaccines and therapeutics), there were systemic failures (e.g., inadequate public health infrastructure) that overshadowed these successes. Key deficiency in the U.S. response were shortages of personal protective equipment (PPE) and supply chain deficiencies. Recommendations are provided for mitigating supply shortages and supply chain failures in healthcare settings in future pandemics. Some key recommendations for preventing shortages of essential components of infection control and prevention include increasing the stockpile of PPE in the U.S. National Strategic Stockpile, increased transparency of the Stockpile, invoking the Defense Production Act at an early stage, and rapid review and authorization by FDA/EPA/OSHA of non-U.S. approved products. Recommendations are also provided for mitigating shortages of diagnostic testing, medications and medical equipment.

SHEA position statement on pandemic preparedness for policymakers: pandemic data collection, maintenance, and release.

The Society for Healthcare Epidemiology in America (SHEA) strongly supports modernization of data collection processes and the creation of publicly available data repositories that include a wide variety of data elements and mechanisms for securely storing both cleaned and uncleaned data sets that can be curated as clinical and research needs arise. These elements can be used for clinical research and quality monitoring and to evaluate the impacts of different policies on different outcomes. Achieving these goals will require dedicated, sustained and long-term funding to support data science teams and the creation of central data repositories that include data sets that can be "linked" via a variety of different mechanisms and also data sets that include institutional and state and local policies and procedures. A team-based approach to data science is strongly encouraged and supported to achieve the goal of a sustainable, adaptable national shared data resource.

Two new sesquiterpenoids from the rhizomes of Nardostachys jatamansi.

Phytochemical investigation of CHCl(3):MeOH (1:1) extract from the rhizomes of Nardostachys jatamansi led to the isolation of two new sesquiterpenoids (5 and 6), along with six known compounds (1-4, 7, and 8). The structures of two new compounds were established using IR, MS, 1D, and 2D NMR techniques. In addition, all the isolates were tested for their cytotoxicities against the A549 (lung cancer), DU-145 (prostate cancer), MCF-7 (breast cancer), and SK-N-SH (neuroblastoma).

Pelvic irradiation induces behavioural and neuronal damage through gut dysbiosis in a rat model.

Radiation exposure can cause gut dysbiosis and there is a positive correlation between gut microbial imbalance and radiation-induced side effects in cancer patients. However, the influence of radiation on the gut-brain axis (GBA) and its neurological consequences are not well understood. Therefore, this study aimed to investigate the impact of pelvic irradiation on gut microbiota and the brain. Sprague Dawley rats were irradiated with a single dose of 6 Gy, and faecal samples were collected at different time points (7 and 12-days post-irradiation) for microbial analysis. Behavioural, histological, and gene expression analysis were performed to assess the effect of microbial dysbiosis on the brain. The findings indicated alterations in microbial diversity, disrupted intestinal morphology and integrity, neuronal death-related brain changes, neuroinflammation and reduced locomotor activity. Hippocampal gene expression analysis also showed a reduced expression of neural plasticity-related genes. Overall, this study demonstrated that pelvic irradiation affects gut microbiota, intestinal morphology, integrity, brain neuronal maturation, neural plasticity gene expression, and behaviour.

Adenosine deaminase modulation of telomerase activity and replicative senescence in human CD8 T lymphocytes.

Increased proportions of CD8 T lymphocytes lacking expression of the CD28 costimulatory receptor have been documented during both aging and chronic infection with HIV-1, and their abundance correlates with numerous deleterious clinical outcomes. CD28-negative cells also arise in cell cultures of CD8(+)CD28(+) following multiple rounds of Ag-driven proliferation, reaching the end stage of replicative senescence. The present study investigates the role of a second T cell costimulatory receptor component, adenosine deaminase (ADA), on the process of replicative senescence. We had previously reported that CD28 signaling is required for optimal telomerase upregulation. In this study, we show that the CD8(+)CD28(+) T lymphocytes that are ADA(+) have significantly greater telomerase activity than those that do not express ADA and that ADA is progressively lost as cultures progress to senescence. Because ADA converts adenosine to inosine, cells lacking this enzyme might be subject to prolonged exposure to adenosine, which has immunosuppressive effects. Indeed, we show that chronic exposure of CD8 T lymphocytes to exogenous adenosine accelerates the process of replicative senescence, causing a reduction in overall proliferative potential, reduced telomerase activity, and blunted IL-2 gene transcription. The loss of CD28 expression was accelerated, in part due to adenosine-induced increases in constitutive caspase-3, known to act on the CD28 promoter. These findings provide the first evidence for a role of ADA in modulating the process of replicative senescence and suggest that strategies to enhance this enzyme may lead to novel therapeutic approaches for pathologies associated with increases in senescent CD8 T lymphocytes.

A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis.

Stock market prediction is a challenging and complex problem that has received the attention of researchers due to the high returns resulting from an improved prediction. Even though machine learning models are popular in this domain dynamic and the volatile nature of the stock markets limits the accuracy of stock prediction. Studies show that incorporating news sentiment in stock market predictions enhances performance compared to models using stock features alone. There is a need to develop an architecture that facilitates noise removal from stock data, captures market sentiments, and ensures prediction to a reasonable degree of accuracy. The proposed cooperative deep-learning architecture comprises a deep autoencoder, lexicon-based software for sentiment analysis of news headlines, and LSTM/GRU layers for prediction. The autoencoder is used to denoise the historical stock data, and the denoised data is transferred into the deep learning model along with news sentiments. The stock data is concatenated with the sentiment score and is fed to the LSTM/GRU model for output prediction. The model's performance is evaluated using the standard measures used in the literature. The results show that the combined model using deep autoencoder with news sentiments performs better than the standalone LSTM/GRU models. The performance of our model also compares favorably with state-of-the-art models in the literature.