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Helicobacter pylori protein HP0986 (TieA) interacts with mouse TNFR1 and triggers proinflammatory and proapoptotic signaling pathways in cultured macrophage cells (RAW 264.7)

Ansari SA, Devi S, Tenguria S, Kumar A, Ahmed N

Cytokine, 2014 Aug;68(2):110-7.
PMID: 24767863 DOI: 10.1016/j.cyto.2014.03.006

HP0986 protein of Helicobacter pylori has been shown to trigger induction of proinflammatory cytokines (IL-8 and TNF-α) through the activation of NF-κB and also to induce Fas mediated apoptosis of human macrophage cells (THP-1). In this study, we unravel mechanistic details of the biological effects of this protein in a murine macrophage environment. Up regulation of MCP-1 and TNF-α in HP0986-induced RAW 264.7 cells occurred subsequent to the activation and translocation of NF-κB to the cell nucleus. Further, HP0986 induced apoptosis of RAW 264.7 cells through Fas activation and this was in agreement with previous observations made with THP-1 cells. Our studies indicated activation of TNFR1 through interaction with HP0986 and this elicited the aforementioned responses independent of TLR2, TLR4 or TNFR2. We found that mouse TNFR1 activation by HP0986 facilitates formation of a complex comprising of TNFR1, TRADD and TRAF2, and this occurs upstream of NF-κB activation. Furthermore, FADD also forms a second complex, at a later stage, together with TNFR1 and TRADD, resulting in caspase-8 activation and thereby the apoptosis of RAW 264.7 cells. In summary, our observations reveal finer details of the functional activity of HP0986 protein in relation to its behavior in a murine macrophage cell environment. These findings reconfirm the proinflammatory and apoptotic role of HP0986 signifying it to be an important trigger of innate responses. These observations form much needed baseline data entailing future in vivo studies of the functions of HP0986 in a murine model.
Fulltext Widespread pandemic, wide-ranging response: student-led virtual telemedicine and digital community-based healthcare provision in a university healthcare centre in response to coronavirus quarantine measures

Muhammad Syafiq Abdullah, Nicholas Pang, Sharinah Abd Kassim, Flora Aurora AmatUdat, NurZiana Ulkaya, NuraisyahNurullah, et al.

Malaysian Journal of Medicine and Health Sciences, 2020;16(105):13-0.
MyJurnal

Introduction: Isolation and border control measures, with home quarantine measures, are essential to stem the spread of the newly emergent novel Covid-19. Such measures are doomed to fail if reliant on traditional isolation methods, which entail small numbers of overworked healthcare staff screening and surveilling large numbers of well individuals who are potential false positives. Innovative method employed by Hospital UMS to overcome these logistics difficulties. Methods: A total of 440 returning China students to UMS were planned for home quarantine measures for 14 days. In the intervening 14 days, groups of ten quarantined individuals were assigned to 1 Manda- rin-speaking medical student liaison officer (LO). LOs performed assessment toolkit for 14 consecutive days virtually via WhatsApp and WeChat and reported back to NCOV central command if any symptoms ensued. Results: 45 China students have been put on home quarantine. Two (2) students with symptoms were monitored virtually till resolution of symptoms. Also, five (5) students with uncontactable phone numbers required tracking down, using var- ious methods eg: retrieval from close contacts through wide-bore virtual search. No cases so far have been positive for NCOV or have required referral to tertiary hospitals. Qualitatively, such methods are a vital public health inter- vention, as task shifting happens to semi-professionals. Hospital UMS first trial of two cherished founding principles: community-based rather than healthcare-facility center healthcare delivery, and judicious use of digital health com- munications, applications, and rudimentary telemedicine. Conclusion: Student-led virtual telemedicine and digital health delivery has potential in public health crises like NCOV, freeing frontline healthcare staff to devote energies to their specialties of screening and treatment. Integration of video and biometrics to incorporate true telemedicine, allowing individuals to be “hospitalized” in a community setting in situations of low risk.
Development of predisposition, injury, response, organ failure model for predicting acute kidney injury in acute on chronic liver failure

Maiwall R, Sarin SK, Kumar S, Jain P, Kumar G, Bhadoria AS, et al.

Liver Int, 2017 Oct;37(10):1497-1507.
PMID: 28393476 DOI: 10.1111/liv.13443

BACKGROUND AND AIM: There is limited data on predictors of acute kidney injury in acute on chronic liver failure. We developed a PIRO model (Predisposition, Injury, Response, Organ failure) for predicting acute kidney injury in a multicentric cohort of acute on chronic liver failure patients.
PATIENTS AND METHODS: Data of 2360 patients from APASL-ACLF Research Consortium (AARC) was analysed. Multivariate logistic regression model (PIRO score) was developed from a derivation cohort (n=1363) which was validated in another prospective multicentric cohort of acute on chronic liver failure patients (n=997).
RESULTS: Factors significant for P component were serum creatinine[(≥2 mg/dL)OR 4.52, 95% CI (3.67-5.30)], bilirubin [(<12 mg/dL,OR 1) vs (12-30 mg/dL,OR 1.45, 95% 1.1-2.63) vs (≥30 mg/dL,OR 2.6, 95% CI 1.3-5.2)], serum potassium [(<3 mmol/LOR-1) vs (3-4.9 mmol/L,OR 2.7, 95% CI 1.05-1.97) vs (≥5 mmol/L,OR 4.34, 95% CI 1.67-11.3)] and blood urea (OR 3.73, 95% CI 2.5-5.5); for I component nephrotoxic medications (OR-9.86, 95% CI 3.2-30.8); for R component,Systemic Inflammatory Response Syndrome,(OR-2.14, 95% CI 1.4-3.3); for O component, Circulatory failure (OR-3.5, 95% CI 2.2-5.5). The PIRO score predicted acute kidney injury with C-index of 0.95 and 0.96 in the derivation and validation cohort. The increasing PIRO score was also associated with mortality (P
Fulltext Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Acevedo Arozena A, et al.

Autophagy, 2016;12(1):1-222.
PMID: 26799652 DOI: 10.1080/15548627.2015.1100356
Fulltext Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1

Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, Abdellatif M, Abdoli A, Abel S, et al.

Autophagy, 2021 Jan;17(1):1-382.
PMID: 33634751 DOI: 10.1080/15548627.2020.1797280

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.