Potent antifungal properties of gallic acid in Sarcochlamys pulcherrima against Candida auris.

Candida auris is a major public health concern due to its high transmission and mortality rates, as well as the emergence of pan-resistant strains. This study aimed to identify an antifungal compound from Sarcochlamys pulcherrima , an ethnomedicinal plant, that can inhibit the growth of C. auris. Methanol and ethyl acetate extracts of the plant were obtained, and high-performance thin-layer chromatography (HPTLC) analysis was conducted to identify the major compounds in the extracts. The major compound detected by HPTLC was subjected to in vitro antifungal activity testing, and its antifungal mechanism was determined. The plant extracts inhibited the growth of both C. auris and Candida albicans. HPTLC analysis revealed the presence of gallic acid in the leaf extract. Furthermore, the in vitro antifungal assay showed that gallic acid inhibited the growth of different C. auris strains. In silico studies indicated that gallic acid can bind to the active sites of carbonic anhydrase (CA) proteins in both C. auris and C. albicans, affecting their catalytic activities. Compounds that target virulent proteins such as CA can aid in the reduction of drug-resistant fungi and the development of novel antifungal compounds with unique modes of action. However, additional in vivo and clinical studies are required to conclusively determine gallic acid's antifungal properties. Gallic acid derivatives may be developed in the future to possess more potent antifungal properties and target various pathogenic fungi.

Screening for antimicrobial residues in poultry eggs in Bangladesh using Charm II radio-receptor assay technique following validation.

The aim of the study was to screen for the presence of antimicrobial residues in poultry eggs from Bangladesh using the Charm II radio-receptor assay in the absence of expensive confirmatory instrumentation. This was based on cut-off values as set in the validation guidelines according to Commission Decision 2002/657/EC and Commission Implementing Regulation (EU) 2021/808. Fortified eggs spiked with fixed concentrations of doxycycline, erythromycin A, sulphamethazine, and benzylpenicillin were used to determine the cut-off values and detection capabilities (CCß). Other validation parameters included were applicability, ruggedness, and robustness. A total of 201 egg mix samples from native organic chicken, duck, and commercial farm-raised laying hens (both brown and white eggs) were tested and after analysis 13%, 10%, and 4.5% of the egg mix samples showed positive signals for sulphonamides, macrolides/lincosamides, and tetracyclines, respectively. Presence of multiple drug residues were also suspected in 11 out of 201 egg mix samples.

Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases.

BACKGROUND: Despite technological advancement in the field of healthcare, the worldwide burden of illness caused by cardio-vascular diseases (CVDs) is rising, owing mostly to a sharp increase in developing nations that are undergoing fast health transitions. People have been experimenting with techniques to extend their lives since ancient times. Despite this, technology is still a long way from attaining the aim of lowering mortality rates. METHODS: From methodological perspective, a design Science Research (DSR) approach is adopted in this research. As such, to investigate the current healthcare and interaction systems created for predicting cardiac disease for patients, we first analyzed the body of existing literature. After that, a conceptual framework of the system was designed using the gathered requirements. Based on the conceptual framework, the development of different components of the system was completed. Finally, the evaluation study procedure was developed taking into account the effectiveness, usability and efficiency of the developed system. RESULTS: To attain the objectives, we proposed a system consisting of a wearable device and mobile application, which allows the users to know their risk levels of having CVDs in the future. The Internet of Things (IoT) and Machine Learning (ML) techniques were adopted to develop the system that can classify its users into three risk levels (high, moderate and low risk of having CVD) with an F1 score of 80.4% and two risk levels (high and low risk of having CVD) with an F1 score of 91%. The stacking classifier incorporating best-performing ML algorithms was used for predicting the risk levels of the end-users utilizing the UCI Repository dataset. CONCLUSION: The resultant system allows the users to check and monitor their possibility of having CVD in near future using real-time data. Also, the system was evaluated from the Human-Computer Interaction (HCI) point of view. Thus, the created system offers a promising resolution to the current biomedical sector. TRIAL REGISTRATION: Not Applicable.

Design of a multi-epitope vaccine against the pathogenic fungi Candida tropicalis using an in silico approach.

BACKGROUND: Candida tropicalis causes tropical invasive fungal infections, with a high mortality. This fungus has been found to be resistant to antifungal classes such as azoles, echinocandins, and polyenes in several studies. As a result, it is vital to identify novel approaches to prevent and treat C. tropicalis infections. In this study, an in silico technique was utilized to deduce and evaluate a powerful multivalent epitope-based vaccine against C. tropicalis, which targets the secreted aspartic protease 2 (SAP2) protein. This protein is implicated in virulence and host invasion. RESULTS: By focusing on the Sap2 protein, 11 highly antigenic, non-allergic, non-toxic, and conserved epitopes were identified. These were subsequently paired with RS09 and flagellin adjuvants, as well as a pan HLA DR-binding epitope (PADRE) sequence to create a vaccine candidate that elicited both cell-mediated and humoral immune responses. It was projected that the vaccine design would be soluble, stable, antigenic, and non-allergic. Ramachandran plot analysis was applied to validate the vaccine construct's 3-dimensional model. The vaccine construct was tested (at 100 ns) using molecular docking and molecular dynamics simulations, which demonstrated that it can stably connect with MHC-I and Toll-like receptor molecules. Based on in silico studies, we have shown that the vaccine construct can be expressed in E. coli. We surmise that the vaccine design is unrelated to any human proteins, indicating that it is safe to use. CONCLUSIONS: The vaccine design looks to be an effective option for preventing C. tropicalis infections, based on the outcomes of the studies. A fungal vaccine can be proposed as prophylactic medicine and could provide initial protection as sometimes diagnosis of infection could be challenging. However, more in vitro and in vivo research is needed to prove the efficacy and safety of the proposed vaccine design.

The role of SARS-CoV-2 immunosuppression and the therapy used to manage COVID-19 disease in the emergence of opportunistic fungal infections: A review.

Since December 2019 SARS-CoV-2 infections have affected millions of people worldwide. Along with the increasing number of COVID-19 patients, the number of cases of opportunistic fungal infections among the COVID-19 patients is also increasing. There have been reports of the cases of aspergillosis and candidiasis in the COVID-19 patients. The COVID-19 patients have also been affected by rare fungal infections such as histoplasmosis, pneumocystosis, mucormycosis and cryptococcosis. These fungal infections are prolonging the stay of COVID-19 patients in hospital. In this study several published case reports, case series, prospective and retrospective studies were investigated to explore and report the updated information regarding candidiasis, crytptococcosis, aspergillosis, mucormycosis, histoplasmosis, and pneumocystosis infections in COVID-19 patients. In this review, the risk factors of these co-infections in COVID-19 patients have been reported. There have been reports that the comorbidities and the treatment with corticoids, monoclonal antibodies, use of mechanical ventilation, and use of antibiotics during COVID-19 management are associated with the emergence of fungal infections in the COVID-19 patients. Hence, this review analyses the role of these therapies and comorbidities in the emergence of these fungal infections among COVID-19 patients. This review will help to comprehend if these fungal infections are the result of the co-morbidities, and treatment protocol followed to manage COVID-19 patients or directly due to the SARS-CoV-2 infection. The analysis of all these factors will help to understand their role in fungal infections among COVID-19 patients which can be valuable to the scientific community.

Drummondin E and Flinderole B are potential inhibitors of RNA-dependent RNA polymerase of SARS-CoV-2: an in silico study.

Coronavirus disease 2019 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected 235.6 million people worldwide. In the present study, RNA-dependent RNA polymerase (RdRp) (PDB Id: 6M71) of SARS-CoV-2, an essential enzyme needed for subgenomic replication and amplification of RNA, was selected. Similar to other RdRps, it is a conserved protein and a popular target for antiviral drug therapy. Based on a computational approach, potential RdRp inhibitors were identified. The absorption, distribution, metabolism, excretion, and toxicity (ADMET) of selected molecules were determined using computation tools. The potential inhibitors were docked to the RdRp and later confirmed by Molecular Dynamics (MD) using the "Flare" module of Cresset software. Drummondin E and Flinderole B had higher drug similarity scores among the compounds selected in this study. Both these compounds are noncarcinogenic, nonirritant, nontumorigenic, and nonmutagenic. Molecular docking studies showed that both compounds can bind to RdRp. The best ligand interaction patterns were validated by MD using the "Flare" module. MD was performed for the period of 100 ns with the time step of 1 fs. The simulation results suggest that Thr-680, Arg-624, Lys-676, and Val-557 are key interacting partners in the Drummondin E-RdRp complex, while Asp-618, Asp-760, Asp-623, Arg-624, and Asp-761 are the interacting partners in the Flinderole B-RdRp complex. Based on the in silico drug-likeness score; ADMET properties; and molecular simulation result, we surmise that Flinderole B and Drummondin E could impede SARS-CoV-2 genome replication and transcription by targeting the RdRp protein.

Clinical Risk Index for Babies II Score as a Predictor of Neonatal Death among Preterm Low Birth Weight Babies.

Clinical risk index for babies II (CRIB II) score is simple, validated and widely used risk-adjustment instrument for predicting mortality among preterm low birth weight babies. To assess the efficacy of CRIB II score as a tool to predict the risk for neonatal death among the preterm and LBW babies admitted in NICU of BSMMU, a tertiary care hospital in Bangladesh. This prospective observational study was conducted in Department of Neonatology in BSMMU from September 2016 to August 2017. Inborn preterm neonates with gestational age ≤34 weeks admitted were enrolled in the study. CRIB-II score was calculated for each infant within 1 hour of birth from birth weight, gestational age, sex, admission temperature and base excess. The primary outcome measured in the study was neonatal death or survival up to 28 days. Total 112 patients were finally analyzed in this study. Mean CRIB II score was significantly higher in the non-survivor group compared to the survivor group (p-value <0.0001). Receiver operating characteristic (ROC) curve analysis for mortality prediction by CRIB II score, gestational age and birth weight showed AUC 0.87 (95% CI 0.76-0.97), 0.76 (95% CI 0.63-0.88) and 0.79 (95% CI 0.66-0.92) respectively. ROC curve analysis also revealed that the most suitable cut-off points for predicting mortality were 5 for CRIB II score, 32 weeks for gestational age and 1250 gram for birth weight. Using these most suitable cut-off points, CRIB II score had the highest sensitivity and specificity followed by birth weight and gestational age. In this study, CRIB II score was found to be an effective tool for predicting neonatal death among preterm LBW babies. It predicted outcome more accurately than birth weight or gestational age alone.

In-silico designing of epitope-based vaccine against the seven banded grouper nervous necrosis virus affecting fish species.

Neural necrosis virus (NNV) of family Nodaviridae affect wide range of fish species with viral encephalopathy and retinopathy causing mass mortality up to 100%. Currently there is no effective treatment and depopulation is only suggested recommendation. New avenues and approach are required to control this harmful malady. In this study we developed an epitope-based vaccine (EBV), against NNV using computation approach. We have selected two conserved proteins RNA-dependent RNA polymerase (RdRP) and capsid proteins. Based on more than ~ 1000 epitopes we selected six antigenic epitopes. These were conjugated to adjuvant and linker peptides to generate a full-length vaccine candidate. Biochemical structural properties were analyzed by Phyre2 server. ProtParam, Molprobity. Ramachandran plot results indicate that 98.7% residues are in a favorable region and 93.4% residues in the favored region. The engineered EBV binds to toll like receptor-5 (TLR5) an important elicitor of immune response. Further molecular docking by PatchDock server reveals the atomic contact energy (i.e. - 267.08) for the best docked model of EBV and TLR5 receptor. The molecular simulation results suggest a stable interaction; the RMSD and RMSF values are 1-4 Ǻ and 1-12Ǻ, respectively. Further we have suggested the best possible codon optimized sequence for its cloning and subsequent purification of the protein. Overall, this is a first report to suggest an in-silico method for generation of an EBV candidate against NNV. We surmise that the method and approach suggested could be used as a promising cure for NNVs.

In-silico design of a multivalent epitope-based vaccine against Candida auris.

Candida auris is a rapidly emerging human pathogenic fungus with a high mortality rate. Recent report suggests that the new clinical isolates are showing resistance to the major classes of antifungal drugs. Due to the emergence of drug resistance, it becomes imperative to seek novel therapies for the treatment of C. auris. The potent vaccine could be one of the promising strategies for recalcitrant and multidrug-resistant pathogens. Using in silico approach we designed a novel multivalent vaccine against C. auris. We have selected the agglutinin-like sequence-3 (Als3) an adhesion protein, involved in virulence. The Als3p protein of C. auris was targeted to predict T cell and B cell epitopes. Epitopes which were found to be non-toxic, non-allergenic, highly conserved, and antigenic and could induce interferon-γ synthesis were selected for vaccine design. The selected epitopes were linked with suitable adjuvants to construct the final vaccine. The vaccine construct was predicted to be stable, soluble, antigenic, non-allergic with desirable physicochemical properties. We also constructed the 3D model of the vaccine and validated it with the Ramachandran plot. The ability of the vaccine construct to interact with Toll-like receptor (TLR) and major histocompatibility complex (MHC) was determined by molecular docking experiments. The binding energy of the vaccine construct with the TLR and MHC were found to be stable as predicted by molecular dynamics simulation. Further, in-silico cloning analysis showed that the vaccine construct can be successfully cloned and expressed in E. coli. Based on the results, we surmise that our candidate vaccine can be used as an alternative therapy for the treatment of C. auris. However, the efficacy and the safety of the vaccine model need to be determined by performing in vivo studies.

Early Versus Delayed Enteral Feeding for Achieving Full Feeding in Preterm Growth-Restricted Infants: A Randomized Clinical Trial.

Optimal enteral nutrition is essential for growth restricted preterm infants because if nutrition remains suboptimal during early days of life, physical and neuro-developmental outcome might be in danger. However, chronic hypoxia during antenatal period makes them susceptible for feeding intolerance and necrotising enterocolitis during post natal period. So this randomized clinical trial was conducted in the department of Neonatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh from January 2018 to June 2019; to evaluate the effect of early versus delayed enteral feeding on preterm growth-restricted infants. During the study period, out of 127 infants with small for gestational age, 50 babies were enrolled and randomly assigned to either early feeding group (n=25) or late feeding group (n=25). Clinical characteristics at trial entry were well balanced between groups. Newborn enrolled in early feeding group reached full feed significantly faster than late feeding group (p=0.001; Hazard ratio 1.24). Early feeding group regained birth weight faster; experienced lesser incidence of neonatal sepsis, experienced less number of feed intolerance, had shorter mean duration of hospital stay and achieved higher weight on post natal age 16th days. All values were statistically significant. Early enteral feeding found to be safe and beneficial in reducing the time to reach full enteral feeding and better weight gain in growth restricted preterm infants.

Mycoremediation: Expunging environmental pollutants.

The ever-increasing population, rapid rate of urbanization, and industrialization are exacerbating the pollution-related problems. Soil and water pollution affect human health and the ecosystem. Thus, it is crucial to develop strategies to combat this ever-growing problem. Mycoremediation, employing fungi or its derivatives for remediation of environmental pollutants, is a comparatively cost-effective, eco-friendly, and effective method. It has advantages over other conventional and bioremediation methods. In this review, we have elucidated the harmful effects of common pollutants on public health and the environment. The role of several fungi in degrading these pollutants such as heavy metals, agricultural, pharmaceutical wastes, including polycyclic aromatic hydrocarbons, is enumerated. Future strategies to improve the rate and efficiency of mycoremediation are suggested. The manuscript describes the strategies which can be used as a future framework to address the global problem of pollution.

Association of Hyperbilirubinemia Requiring Phototherapy or Exchange Transfusion with Hearing Impairment among Admitted Term and Late Preterm Newborn in a NICU.

Hearing impairment is one of the deleterious ramifications of neonatal hyperbilirubinemia, but its impact during the newborn period has not been well studied in Bangladesh. This prospective observational study was conducted during January 2016 to December 2017 in the Department of Neonatology and Otolaryngology-Head and Neck Surgery, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh to identify the relationship between hyperbilirubinemia requiring phototherapy or exchange transfusion with hearing impairment in term and late preterm neonates. Admitted term and late preterm neonates with hyperbilirubinemia requiring either phototherapy or exchange transfusion were taken as hyperbilirubinemia group. Neonates without hyperbilirubinemia from postnatal ward were taken as control. All newborn were screened with Distortion Product Otoacoustic Emissions (DPOAE) prior to discharge from hospital. A second screen was done in referred newborn after one month of first screen. A diagnostic Auditory Brainstem Response (ABR) was performed in both the ears prior to 3 months of postnatal age if referred in both 1st and 2nd screen. Total 264 neonates included in this study; 132 in the hyperbilirubinemia and 132 in the control group. In the hyperbilirubinemia group 74(56.06%) were male and 58(43.94) were female. Mean gestational ages in the hyperbilirubinemia group and control group were 36.95±1.60 weeks and 37.01±1.67 weeks respectively. Newborn in the hyperbilirubinemia group, 4(3.03%) had hearing impairment and none had hearing impairment in the control group. Peak Total Serum Bilirubin (TSB) 23mg/dl was found as best cut off value with a sensitivity of 100% and specificity of 93% for the development hearing impairment. Hearing impairment was significantly more frequent among newborn with TSB level >23mg/dl when compared to those having TSB level ≤23mg/dl (20% vs. 0.9%, p=0.009; OR=29, 95% CI 2.79, 301). Hearing impairment was associated with newborns with hyperbilirubinemia requiring phototherapy or exchange transfusion. Peak TSB level >23mg/dl can be predictive for the development of hearing impairment.

Antenatal Bartter Syndrome: A Case Report.

Bartter syndrome is an autosomal recessive disorder manifested by a defect in sodium-potassium-chloride transport in the thick ascending limb of Henle with different genetic origins and molecular pathophysiology. Bartter syndrome usually a common disease in children and in early infancy presented with persistent polyuria and associated with dehydration, electrolyte imbalance, and failure to thrive. Though prompt diagnosis and proper treatment of Bartter syndrome may improve the outcome, some children will progress to renal failure. We report a case of a 6 days-old male infant who was admitted in Neonatal Intensive Care Unit, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh on 26 April 2018 for prematurity and low birth weight. On subsequent follow up he developed electrolyte imbalance and failure to thrive. Laboratory studies revealed hyponatremia, hypochloremic metabolic alkalosis with severe hypokalemia. When excessive chloride losses appear to be renal in origin and the patient has normal blood pressure and high levels of serum renin and aldosterone were considered as Bartter syndrome. Molecular genetic studies are indicated to identify the primary genetic defect.

Epitope based vaccine prediction for SARS-COV-2 by deploying immuno-informatics approach.

A new virus termed SARS-COV-2 (causing COVID-19 disease) can exhibit a progressive, fatal impact on individuals. The World Health Organization (WHO) has declared the spread of the virus to be a global pandemic. Currently, there are over 1 million cases and over 100,000 confirmed deaths due to the virus. Hence, prophylactic and therapeutic strategies are promptly needed. In this study we report an epitope, ITLCFTLKR, which is biochemically fit to HLA allelic proteins. We propose that this could be used as a potential vaccine candidate against SARS-COV-2. A selected putative epitope and HLA-allelic complexes show not only better binding scores, but also RMSD values in the range of 0-1 Å. This epitope was found to have a 99.8% structural favorability as per Ramachandran-plot analysis. Similarly, a suitable range of IC50 values and population coverage was obtained to represent greater validation of T-cell epitope analysis. Stability analysis using MDWeb and half-life analysis using the ProtParam tool has confirmed that this epitope is well-selected. This new methodology of epitope-based vaccine prediction is fundamental and fast in application, ad can be economically beneficial and viable.

Approach to optimize 3-dimensional brain functional activation image with high resolution: a study on functional near-infrared spectroscopy.

In this study, 3-dimensional (3-D) enhanced brain-function-map generation and estimation methodology is presented. Optical signals were modelled in the form of numerical optimization problem to infer the best existing waveform of canonical hemodynamic response function. Inter-channel activity patterns were also estimated. The estimation of activation of inter-channel gap depends on the minimization of generalized cross-validation. 3-D brain activation maps were produced through inverse discrete cosine transform. The proposed algorithm acquired significant results for 3-D functional maps with high resolution, in comparison with that of 2-D functional t-maps. A comprehensive analysis by exhibiting images corresponding to several layers has also been appended.

Probing into Styrene Polymerization Runaway Hazards: Effects of the Monomer Mass Fraction.

Polymerization reactions have caused a number of serious incidents in the past; they are prone to reaction runaways because of their exothermic and autoaccelerating nature. To minimalize the risk, the reaction is commonly performed in a solvent as empirical industrial practice. In this work, the thermal runaway hazards of the ethylbenzene-styrene system with different monomer mass fractions were calorimetrically investigated up to temperatures where decomposition products are unlikely to be produced. Experiments showed that the polymerization runaway "onset" temperature inversely increased with the monomer mass fraction. Experiment and thermodynamic calculations showed that volatile diluent increased system vapor pressure even at a lower adiabatic temperature rise and verified that moderation of the risks could be achieved if the monomer mass fraction is below ca. 85%. A lumped kinetic model developed by Hui and Hamielec was used to predict the runaway profile of this reaction under different dilutions, and the agreement was excellent.

Mechanism study of ammonium nitrate decomposition with chloride impurity using experimental and molecular simulation approach.

Fire/explosion due to ammonium nitrate (AN) decomposition poses significant safety hazards which are exacerbated in the presence of salts including potassium chloride (KCl). In this work, key thermal parameters of AN decomposition over a range of KCl mass fraction were experimentally measured using advanced reactive chemical screening tool (ARSST). Based on experimental findings and past literature review, AN/KCl decomposition mechanism was proposed consisting of four separate pathways, specifically, (i) direct AN main decomposition pathway, (ii) indirect AN main decomposition pathway via chlorine radical, (iii) direct pure AN side decomposition pathway and (iv) indirect AN side decomposition pathway via chlorine radical. Gaussian software was used to estimate activation energies for each reaction step involved in the proposed mechanism via density function theory (DFT). The computational chemistry model explained experimental data with good agreement. Both computational and experimental findings confirm that chlorine radical reduce reaction barrier of AN decomposition via indirect pathways (ii) and (iv). As these indirect decomposition pathways are more exothermic than the primary paths (i), (iii), KCl addition not only accelerates AN decomposition but also increases reaction heat release.

Calorimetry of explosive thermal decomposition of graphite oxide.

Graphite oxide (GO) has shown immense potential in energy storage and composite filler applications, and large-scale production of GO is of increasing commercial and academic interest. However, prior studies show that GO has the potential to undergo explosive decomposition. In this study, Advanced Reactive System Screening Tool was used to track the temperature and pressure of the explosive decomposition of GO. The data showed that the explosive decomposition temperature of GO strongly depends on sample size. The temperature and pressure generation are on the order of 1000s of °C per minute and 1000s of psig per minute respectively for less than a gram of material. Therefore, the rapid decomposition of bulk GO can lead to catastrophic consequences. The paper further compared the thermal stability of GO from different sources and found that the GO surface area has significant effects on GO stability. Finally, the Frank-Kamenetskii model was used to predict the critical mass necessary for GO to undergo explosive decomposition, the model predicted the mass within a factor of experimental data. The results of this study are beneficial in assessing and predicting the hazards of bulk GO during storage and handling.

Off-Label Medication in Children: Responsibilities of Pediatrician and Neonatologist.

Use of drug in pediatrics and neonatology should be rational. There are clinical situations when the use of unlicensed medicines or use of medicines outside the terms of license (i.e., 'off-label') may be judged by prescriber in the best interest of the patient. Off-label prescribing is clinically appropriate when the benefits outweigh the potential risks. Such practice is particularly common in pediatrics and neonatology where development of age-appropriate formulations is difficult. Before going to prescribe a drug on off-label basis, the clinician should be satisfied that an alternative medicine would not meet the patient's needs. The clinician should be satisfied that there is sufficient evidence base safety and efficacy on off-label drug use. Communication with legal guardian with sufficient information about proposed treatment is needed. The clinician has a responsibility to monitor the off-label use of drug. He should submit a report on suspected adverse drug reactions if he observes to the authorized body.

Hierarchical, Self-Healing and Superhydrophobic Zirconium Phosphate Hybrid Membrane Based on the Interfacial Crystal Growth of Lyotropic Two-Dimensional Nanoplatelets.

We demonstrate a facile route to in situ growth of lyotropic zirconium phosphate (ZrP) nanoplates on textiles via an interfacial crystal growing process. The as-prepared hybrid membrane shows a hierarchical architecture of textile fibers (porous platform for fluid transport), ZrP nanoplatelets (layered scaffolds for chemical barriers), and octadecylamine (organic species for superhydrophobic functionalization). Interestingly, such a hybrid membrane is able to separate the oily wastewater with a high separation efficiency of 99.9%, even at in harsh environments. After being chemically etched, the hybrid membrane is able to restore its hydrophobicity autonomously and repeatedly, owing to the hierarchical structure that enables facile loading of healing agent. We anticipate that the concept of implanting superhydrophobic self-healing features in anisotropic structure of lyotropic nanoparticles will open up new opportunities for developing advanced multifunctional materials for wastewater treatment, fuel purification, and oil spill mitigation.