Structure-based drug discovery to identify SARS-CoV2 spike protein-ACE2 interaction inhibitors.

After the emergence of the COVID-19 pandemic in late 2019, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has undergone a dynamic evolution driven by the acquisition of genetic modifications, resulting in several variants that are further classified as variants of interest (VOIs), variants under monitoring (VUM) and variants of concern (VOC) by World Health Organization (WHO). Currently, there are five SARS-CoV-2 VOCs (Alpha, Beta, Delta, Gamma and Omicron), two VOIs (Lambda and Mu) and several other VOIs that have been reported globally. In this study, we report a natural compound, Curcumin, as the potential inhibitor to the interactions between receptor binding domain (RBD(S1)) and human angiotensin-converting enzyme 2 (hACE2) domains and showcased its inhibitory potential for the Delta and Omicron variants through a computational approach by implementing state of the art methods. The study for the first time revealed a higher efficiency of Curcumin, especially for hindering the interaction between RBD(S1) and hACE-2 domains of Delta and Omicron variants as compared to other lead compounds. We investigated that the mutations in the RBD(S1) of VOC especially Delta and Omicron variants affect its structure compared to that of the wild type and other variants and therefore altered its binding to the hACE2 receptor. Molecular docking and molecular dynamics (MD) simulation analyses substantially supported the findings in terms of the stability of the docked complexes. This study offers compelling evidence, warranting a more in-depth exploration into the impact of these alterations on the binding of identified drug molecules with the Spike protein. Further investigation into their potential therapeutic effects in vivo is highly recommended.Communicated by Ramaswamy H. Sarma.

Factors Impacting Return to Work/School among Hematopoietic Cell Transplantation Survivors in India.

Introduction: While there are data about return to work after hematopoietic cell transplantation (HCT) in survivors from resource-rich regions, similar data from resource-challenged settings are scarce. This study assessed the incidence of and factors affecting return to work/school (RTW) among HCT survivors in India. Methods: This single-center cross-sectional study was conducted at the long-term follow-up (LTFU) clinic of a large-volume HCT center during 2022-2023. HCT survivors surviving beyond four months were included after obtaining informed consent. Patients' sociodemographic, disease, HCT, and work details were recorded. The factors affecting RTW were evaluated using univariate (ANOVA) and logistic regression analyses. Results: A total of 126 HCT survivors participated in the study. Of these, 34 (27%) did not RTW, 47 (37%) returned to part-time work, and 45 (36%) returned to full-time work at a median of more than three years post-HCT. The three groups did not significantly differ in age, sex, or marital status. The univariate analysis revealed that education, pre-HCT job status, income, and conditioning intensity were significantly associated with RTW. Logistic regression analysis revealed that survivors with a higher (taxable) income were more likely to RTW than those with a lower (non-taxable) income (OR 3.5; CI 1.2-10.2, p=0.01). Survivors with a desk job were more likely to RTW than those who were unemployed/retired or students (OR 4.5; CI 1.1-18.0, p=0.03). Conclusion: Socioeconomic factors, like pre-HCT job status and income, were significantly associated with post-HCT RTW. Therefore, there is a need to integrate multidisciplinary RTW programs for HCT survivors in India.

GVHD relapse-free survival after peripheral blood hematopoietic cell transplantation for hematologic malignancies.

The preferred choice for hematopoietic cell transplantation (HCT) donors in India is a matched related donor (MRD) followed by a haploidentical (haplo) donor for patients with hematological malignancies. International data in the haplo-HCT setting is mainly using bone marrow as a source. Almost all HCTs in India use peripheral blood stem cells (PBSC), which increases the risk of graft-versus-host disease (GVHD). In this single-center prospective study from 2017 to 2021, we sought to compare these outcomes prospectively in adult patients with hematological malignancies. Patient, disease, donor, and HCT details were prospectively recorded. GVHD prophylaxis included cyclosporine + methotrexate in MRD-HCT and post-transplant cyclophosphamide (PTCy) based in haplo-HCT. The primary endpoint GVHD relapse-free survival (GRFS) was defined as the time post-HCT without any of the following events: grade III-IV acute GVHD, chronic GVHD requiring systemic immunosuppressive treatment, disease relapse, or death from any cause. A total of 41 MRD and 33 haplo-HCT recipients were included in the study. Both cohorts were matched for age, sex, diagnosis, disease risk index, donor age, sex and CMV mismatches, and CD34 counts. A lower proportion of MRD-HCT recipients than haplo-HCT received myeloablative conditioning (39% vs. 76%, p = 0.002). There was no difference in the cumulative incidence of grade III-IV acute GVHD (16% vs. 27%, p = 0.2) or moderate-to-severe chronic GVHD (58% vs. 71%, p = 0.5). The one-year GRFS was not significantly different (53% vs. 38%, p = 0.2), with median GRFS of 420 and 274 days. The relapse incidence (22% vs. 19%, p = 0.6) and non-relapse mortality (25% vs. 35%, p = 0.4) did not differ. There was no difference in overall survival at one year (60% vs. 52%, p = 0.3). Despite a higher proportion of myeloablative conditioning in the haplo-HCT cohort, all outcomes, including GRFS, were comparable to those of the MRD-HCT cohort. This should encourage patients without an MRD to undergo haplo-HCT.

Bactericidal activity of esculetin is associated with impaired cell wall synthesis by targeting glutamate racemase of Neisseria gonorrhoeae.

Neisseria gonorrhoeae (NG), the causative organism of gonorrhea, has been classified by the World Health Organization as 'Priority' two organism owing to its increased resistance to antibiotics and even failure of recommended dual therapy with ceftriaxone and azithromycin. As a result, the general and reproductive health of infected individuals is severely compromised. The imminent public health catastrophe of antimicrobial-resistant gonococci cannot be understated, as t he of severe complications and sequelae of infection are not only increasing but their treatment has also become more expensive. Tenacious attempts are underway to discover novel drug targets as well as new drugs to fight against NG. Therefore, a considerable number of phytochemicals have been tested for their remedial intercession via targeting bacterial proteins. The MurI gene encodes for an enzyme called glutamate racemase (MurI) that is primarily involved in peptidoglycan (PG) biosynthesis and is specific to the bacterial kingdom and hence can be exploited as a potential drug target for the treatment of bacterial diseases. Accordingly, diverse families of phytochemicals were screened in silico for their binding affinity with N. Gonorrhoeae MurI (NG-MurI) protein. Esculetin, one of the shortlisted compounds, was evaluated for its functional, structural, and anti-bacterial activity. Treatment with esculetin resulted in growth inhibition, cell wall damage, and altered permeability as revealed by fluorescence and electron microscopy. Furthermore, esculetin inhibited the racemization activity of recombinant, purified NG-MurI protein, one of the enzymes required for peptidoglycan biosynthesis. Our results suggest that esculetin could be further explored as a lead compound for developing new drug molecules against multidrug-resistant strains.

Investigating the link between miR-34a-5p and TLR6 signaling in sepsis-induced ARDS.

Acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) are lung complications diagnosed by impaired gaseous exchanges leading to mortality. From the diverse etiologies, sepsis is a prominent contributor to ALI/ARDS. In the present study, we retrieved sepsis-induced ARDS mRNA expression profile and identified 883 differentially expressed genes (DEGs). Next, we established an ARDS-specific weighted gene co-expression network (WGCN) and picked the blue module as our hub module based on highly correlated network properties. Later we subjected all hub module DEGs to form an ARDS-specific 3-node feed-forward loop (FFL) whose highest-order subnetwork motif revealed one TF (STAT6), one miRNA (miR-34a-5p), and one mRNA (TLR6). Thereafter, we screened a natural product library and identified three lead molecules that showed promising binding affinity against TLR6. We then performed molecular dynamics simulations to evaluate the stability and binding free energy of the TLR6-lead molecule complexes. Our results suggest these lead molecules may be potential therapeutic candidates for treating sepsis-induced ALI/ARDS. In-silico studies on clinical datasets for sepsis-induced ARDS indicate a possible positive interaction between miR-34a and TLR6 and an antagonizing effect on STAT6 to promote inflammation. Also, the translational study on septic mice lungs by IHC staining reveals a hike in the expression of TLR6. We report here that miR-34a actively augments the effect of sepsis on lung epithelial cell apoptosis. This study suggests that miR-34a promotes TLR6 to heighten inflammation in sepsis-induced ALI/ARDS. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03700-1.

Utility of eGVHD App for bedside GVHD assessment in a high-volume BMT center.

Assessing acute and chronic graft-versus-host disease (GVHD) is challenging because there are several classification systems. The European Society for Blood and Marrow Transplantation and the Center for International Bone Marrow Transplantation Registry task force recommends using the eGVHD application (App) to score acute GVHD according to the Mount Sinai Acute GvHD International Consortium (MAGIC) criteria and chronic GVHD according to the National Institutes of Health 2014 criteria. We prospectively used the eGVHD App at each follow-up visit in a large-volume bone-marrow transplant center in India from 2017 to 2021. We retrospectively evaluated the discrepancy in scoring GVHD severity by physicians not using the App from the same patient charts. The App user satisfaction and experience were recorded using the technology acceptance model (TAM) and the Post-Study System Usability Questionnaire (PSSUQ). In 100 consecutive allogeneic hematopoietic cell transplantation recipients, there was more discrepancy in scoring the severity of chronic GVHD (38%) than acute GVHD (9%) without using the App. The median TAM and PSSUQ scores were six (IQR:1) and two (IQR:1), respectively, indicating high perceived usefulness and user satisfaction. The eGVHD App is an excellent learning tool for hematology/BMT fellows and helps manage GVHD in high-volume BMT centers.

Role of fluoroquinolone prophylaxis in allogeneic hematopoietic cell transplantation in regions with a high prevalence of fluoroquinolone resistance.

Introduction: The role of fluoroquinolone (FQ) prophylaxis in preventing gram-negative bacilli (GNB) bacteremia, graft-versus-host disease (GVHD), and overall survival (OS) after allogeneic hematopoietic cell transplantation (allo-HCT) is debatable and may differ in settings with low and high prevalences of FQ resistance. In this study, we aimed to answer this question in regions with high FQ resistance. Methods: This single-center retrospective study included all consecutive allo-HCT recipients aged ≥12 years from 2012 to 2021. Allo-HCT recipients until 2016 were administered FQ prophylaxis (levofloxacin). After 2016, the institutional protocol was modified to no antibiotic prophylaxis. Data were retrieved from patient records for disease and transplant characteristics, the incidence of GNB bacteremia, duration of parenteral antibiotics, hospitalization duration, acute GVHD, and OS. Results: A total of 135 allo-HCT recipients (43 in the FQ-prophylaxis cohort and 92 in the no-antibiotic prophylaxis cohort) were analyzed in this study. The two cohorts were matched for age (median, 26 vs. 24.5 years; p = 0.8). The no-antibiotic prophylaxis cohort had a higher proportion of malignant diagnoses (80% vs. 58%, p = 0.01), haploidentical transplants (46% vs. 14%, p = 0.004), and posttransplant cyclophosphamide exposure (46% vs. 14%, p = 0.003) than did the FQ cohort. Despite this, the incidence of GNB bacteremia was not significantly different between the two cohorts (37% vs. 34%, p = 0.6). There were no differences in parenteral antibiotic use or hospitalization duration, as well as the incidence of acute GVHD (53% vs. 53%, p = 0.3). The 1-year OS was similar between the two cohorts (66% vs. 67%, p = 0.6). Conclusion: This study shows that FQ prophylaxis did not affect the incidence of GNB bacteremia, parenteral antibiotic use, hospitalization duration, acute GVHD, and OS post-allo-HCT.

Randomized Controlled Trial of Isha Kriya versus Observation to Improve Quality of Life in Hematopoietic Cell Transplantation Recipients.

Hematopoietic cell transplantation (HCT) impacts recipients' quality of life (QoL). Few mindfulness-based interventions (MBI) in HCT recipients have shown feasibility, but heterogeneous practices and outcome measures have called into question the actual benefit. We hypothesized that self-guided isha kriya, a 12-minute guided meditation based on the principles of yoga focusing on breathing, awareness, and thought, as a mobile app would improve QoL in the acute HCT setting. This single-center, open-label, randomized controlled trial was conducted in 2021 to 2022. Autologous and allogeneic HCT recipients age ≥18 years were included. The study was approved by our Institutional Ethics Committee and registered at the Clinical Trial Registry of India, and all participants provided written informed consent. HCT recipients without access to smartphones or regular practitioners of yoga, meditation, or other mind-body practices were excluded. Participants were randomized to the control arm or the isha kriya arm at a 1:1 ratio stratified by type of transplantation. Patients in the isha kriya arm were instructed to perform the kriya twice daily from pre-HCT to day +30 post-HCT. The primary endpoint was QoL summary scores as assessed by the Functional Assessment of Cancer Therapy-Bone Marrow Transplantation (FACT-BMT) and the Patient-Reported Outcomes Measurement Information System Global Health (PROMIS-GH) questionnaires. The secondary endpoints were the differences in QoL domain scores. The validated questionnaires were self-administered before the intervention and at days +30 and +100 post-HCT. The analysis of endpoints was done on an intention-to-treat basis. Domain and summary scores were calculated for each instrument as recommended by the developers. A P value < .05 was considered to indicate statistical significance, and Cohen's d effect size was used to determine clinical significance. A total of 72 HCT recipients were randomized to the isha kriya and control arms. Patients in the 2 arms were matched for age, sex, diagnosis, and type of HCT. The 2 arms showed no differences in pre-HCT QoL domain, summary, and global scores. At day +30 post-HCT, there was no difference between the arms in the mean FACT-BMT total score (112.9 ± 16.8 for the isha kriya arm versus 101.2 ± 13.9 for the control arm; P = .2) or the mean global health score (global mental health, 45.1 ± 8.6 versus 42.5 ± 7.2 [P = .5]; global physical health, 44.1 ± 6.3 versus 44.1 ± 8.3 [P = .4]) in the 2 groups. Similarly, there were no differences in physical, social, emotional, and functional domain scores. However, the mean bone marrow transplantation (BMT) subscale scores, which addresses BMT-specific QoL concerns, were statistically and clinically significantly higher in the isha kriya arm (27.9 ± 5.1 versus 24.4 ± 9.2; P = .03; Cohen's d = .5; medium effect size). This effect was transient; mean day +100 scores showed no difference (28.3 ± 5.9 versus 26.2 ± 9.4; P = .3). Our data indicate that the isha kriya intervention did not improve the FACT-BMT total and global health scores in the acute HCT setting. However, practicing isha kriya for 1 month was associated with transient improvement in the FACT-BMT subscale scores on day +30 but not on day +100 post-HCT.

Combined Multiomics and In Silico Approach Uncovers PRKAR1A as a Putative Therapeutic Target in Multi-Organ Dysfunction Syndrome.

Despite all epidemiological, clinical, and experimental research efforts, therapeutic concepts in sepsis and sepsis-induced multi-organ dysfunction syndrome (MODS) remain limited and unsatisfactory. Currently, gene expression data sets are widely utilized to discover new biomarkers and therapeutic targets in diseases. In the present study, we analyzed MODS expression profiles (comprising 13 sepsis and 8 control samples) retrieved from NCBI-GEO and found 359 differentially expressed genes (DEGs), among which 170 were downregulated and 189 were upregulated. Next, we employed the weighted gene co-expression network analysis (WGCNA) to establish a MODS-associated gene co-expression network (weighted) and identified representative module genes having an elevated correlation with age. Based on the results, a turquoise module was picked as our hub module. Further, we constructed the PPI network comprising 35 hub module DEGs. The DEGs involved in the highest-confidence PPI network were utilized for collecting pathway and gene ontology (GO) terms using various libraries. Nucleotide di- and triphosphate biosynthesis and interconversion was the most significant pathway. Also, 3 DEGs within our PPI network were involved in the top 5 significantly enriched ontology terms, with hypercortisolism being the most significant term. PRKAR1A was the overlapping gene between top 5 significant pathways and GO terms, respectively. PRKAR1A was considered as a therapeutic target in MODS, and 2992 ligands were screened for binding with PRKAR1A. Among these ligands, 3 molecules based on CDOCKER score (molecular dynamics simulated-based score, which allows us to rank the binding poses according to their quality and to identify the best pose for each system) and crucial interaction with human PRKAR1A coding protein and protein kinase-cyclic nucleotide binding domains (PKA RI alpha CNB-B domain) via active site binding residues, viz. Val283, Val302, Gln304, Val315, Ile327, Ala336, Ala337, Val339, Tyr373, and Asn374, were considered as lead molecules.

Pharmacophore-based virtual screening of ZINC database, molecular modeling and designing new derivatives as potential HDAC6 inhibitors.

To date, many HDAC6 inhibitors have been identified and developed but none is clinically approved as of now. Through this study, we aim to obtain novel HDAC6 selective inhibitors and provide new insights into the detailed structural design of potential HDAC6 inhibitors. A HypoGen-based 3D QSAR HDAC6 pharmacophore was built and used as a query model to screen approximately 8 million ZINC database compounds. First, the ZINC Database was filtered using ADMET, followed by pharmacophore-based library screening. Using fit value and estimated activity cutoffs, a final set of 54 ZINC hits was obtained that were further investigated using molecular docking with the crystal structure of human histone deacetylase 6 catalytic domain 2 in complex with Trichostatin A (PDB ID: 5EDU). Through detailed in silico screening of the ZINC database, we shortlisted three hits as the lead molecules for designing novel HDAC6 inhibitors with better efficacy. Docking with 5EDU, followed by ADMET and TOPKAT analysis of modified ZINC hits provided 9 novel potential HDAC6 inhibitors that possess better docking scores and 2D interactions as compared to the control ZINC hit molecules. Finally, a 50 ns MD analysis run followed by Protein-Ligand Interaction Energy (PLIE) analysis of the top scored hits provided a novel molecule N1 that showed promisingly similar results to that of Ricolinostat (a known HDAC6 inhibitor). The comparable result of the designed hits to established HDAC6 inhibitors suggests that these compounds might prove to be successful HDAC6 inhibitors in future. Designed novel hits that might act as good HDAC6 inhibitors derived from ZINC database using combined molecular docking and modeling approaches.

Structure-guided pharmacophore based virtual screening, docking, and molecular dynamics to discover repurposed drugs as novel inhibitors against endoribonuclease Nsp15 of SARS-CoV-2.

COVID-19 (Corona Virus Disease of 2019) caused by the novel 'Severe Acute Respiratory Syndrome Coronavirus-2' (SARS-CoV-2) has wreaked havoc on human health and the global economy. As a result, for new medication development, it's critical to investigate possible therapeutic targets against the novel virus. 'Non-structural protein 15' (Nsp15) endonuclease is one of the crucial targets which helps in the replication of virus and virulence in the host immune system. Here, in the current study, we developed the structure-based pharmacophore model based on Nsp15-UMP interactions and virtually screened several databases against the selected model. To validate the screening process, we docked the top hits obtained after secondary filtering (Lipinski's rule of five, ADMET & Topkat) followed by 100 ns molecular dynamics (MD) simulations. Next, to revalidate the MD simulation studies, we have calculated the binding free energy of each complex using the MM-PBSA procedure. The discovered repurposed drugs can aid the rational design of novel inhibitors for Nsp15 of the SARS-CoV-2 enzyme and may be considered for immediate drug development.

Identification of novel inhibitors of Neisseria gonorrhoeae MurI using homology modeling, structure-based pharmacophore, molecular docking, and molecular dynamics simulation-based approach.

MurI is one of the most significant role players in the biosynthesis of the peptidoglycan layer in Neisseria gonorrhoeae (Ng). We attempted to highlight the structural and functional relationship between Ng-MurI and D-glutamate to design novel molecules targeting this interaction. The three-dimensional (3D) model of the protein was constructed by homology modeling and the quality and consistency of generated model were assessed. The binding site of the protein was identified by molecular docking studies and a pharmacophore was identified using the interactions of the control ligand. The structure-based pharmacophore model was validated and employed for high-throughput virtual screening and molecular docking to identify novel Ng-MurI inhibitors. Finally, the model was optimized by molecular dynamics (MD) simulations and the optimized model complex with the substrate glutamate and novel molecules facilitated us to confirm the stability of the protein-ligand docked complexes. The 100 ns MD simulations of the potential lead compounds with protein confirmed that the modeled complexes were stable. This study identifies novel potential compounds with good fitness and docking scores, which made the interactions of biological significance within the protein active site. Hence, the identified compounds may act as new leads to design and develop Ng-MurI inhibitors.Communicated by Ramaswamy H. Sarma.

Ricolinostat suppresses proliferation, promotes apoptosis, and enhances the antiproliferative activity of topoisomerase inhibitors in cervical cancer cells.

Ricolinostat has been found to exhibit anticancer effects alone and in combination with various chemotherapeutic drugs in several cancer types. However, to the best of our knowledge, the efficacy of ricolinostat in cervical cancer is still not investigated. Therefore, in this study, we evaluated the effect of ricolinostat in cervical cancer alone and in combination with topoisomerase inhibitors. The effect of ricolinostat on cervical cancer cells was assessed using MTT, cell-cycle arrest, Annexin V/PI staining assay, reactive oxygen species (ROS) measurement, and western blot analysis. The antiproliferative effect of ricolinostat in combination with topoisomerase inhibitors was assessed using the MTT assay and synergism was computed using "CompuSyn" software. We found that ricolinostat inhibited proliferation, and induced G2/M phase arrest and apoptosis in cervical cancer cells. We further found that ricolinostat treatment resulted in increased ROS production, decreased Bcl-xL expression, and induced p21 expression. We also investigated the effect of ricolinostat in combination with topotecan and etoposide in cervical cancer cells. Ricolinostat was found to significantly enhance the antiproliferative activity of both, topotecan and etoposide, in cervical cancer cells in a concentration-dependent manner. In conclusion, our study showed that ricolinostat suppressed proliferation by inducing G2/M phase arrest and promoted apoptosis in cervical cancer cells, indicating that ricolinostat may be a promising antitumor agent in cervical cancer. Also, ricolinostat and topotecan/etoposide combination are synergistic in cervical cancer cells.

HDAC6: A unique HDAC family member as a cancer target.

BACKGROUND: HDAC6, a structurally and functionally distinct member of the HDAC family, is an integral part of multiple cellular functions such as cell proliferation, apoptosis, senescence, DNA damage and genomic stability, all of which when deregulated contribute to carcinogenesis. Among several HDAC family members known so far, HDAC6 holds a unique position. It differs from the other HDAC family members not only in terms of its subcellular localization, but also in terms of its substrate repertoire and hence cellular functions. Recent findings have considerably expanded the research related to the substrate pool, biological functions and regulation of HDAC6. Studies in HDAC6 knockout mice highlighted the importance of HDAC6 as a cell survival player in stressful situations, making it an important anticancer target. There is ample evidence stressing the importance of HDAC6 as an anti-cancer synergistic partner of many chemotherapeutic drugs. HDAC6 inhibitors have been found to enhance the effectiveness of conventional chemotherapeutic drugs such as DNA damaging agents, proteasome inhibitors and microtubule inhibitors, thereby highlighting the importance of combination therapies involving HDAC6 inhibitors and other anti-cancer agents. CONCLUSIONS: Here, we present a review on HDAC6 with emphasis on its role as a critical regulator of specific physiological cellular pathways which when deregulated contribute to tumorigenesis, thereby highlighting the importance of HDAC6 inhibitors as important anticancer agents alone and in combination with other chemotherapeutic drugs. We also discuss the synergistic anticancer effect of combination therapies of HDAC6 inhibitors with conventional chemotherapeutic drugs.

Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery.

BACKGROUND: The lengthy and expensive process of developing a novel medicine often takes many years and entails a significant financial burden due to its poor success rate. Furthermore, the processing and analysis of quickly expanding massive data necessitate the use of cutting-edge methodologies. As a result, Artificial Intelligence-driven methods that have been shown to improve the efficiency and accuracy of drug discovery have grown in favor. OBJECTIVE: The goal of this thorough analysis is to provide an overview of the drug discovery and development timeline, various approaches to drug design, and the use of Artificial Intelligence in many aspects of drug discovery. METHODS: Traditional drug development approaches and their disadvantages have been explored in this paper, followed by an introduction to AI-based technology. Also, advanced methods used in Machine Learning and Deep Learning are examined in detail. A few examples of big data research that has transformed the field of medication discovery have also been presented. Also covered are the many databases, toolkits, and software available for constructing Artificial Intelligence/Machine Learning models, as well as some standard model evaluation parameters. Finally, recent advances and uses of Machine Learning and Deep Learning in drug discovery are thoroughly examined, along with their limitations and future potential. CONCLUSION: Artificial Intelligence-based technologies enhance decision-making by utilizing the abundantly available high-quality data, thereby reducing the time and cost involved in the process. We anticipate that this review would be useful to researchers interested in Artificial Intelligencebased drug development.

Fecal microbiota transplantation in alcohol-associated acute-on-chronic liver failure: an open-label clinical trial.

BACKGROUND: Severe alcoholic hepatitis (SAH) presenting as acute-on-chronic liver failure (ACLF) carries a high short-term mortality. Alteration of gut microbiota is a crucial component implicated in its pathogenesis, whose modulation has been suggested as a potential therapeutic tool. We evaluated the safety of fecal microbiota transplantation (FMT) and its efficacy in improving short-term survival and clinical severity scores in patients with SAH-ACLF. METHODS: Thirty-three patients [13 in the FMT arm; 20 in the standard of care arm (SOC)] with SAH-ACLF were included in this open-label study. A single FMT session was administered as a freshly prepared stool suspension from pre-identified healthy family member stool donors through a nasojejunal tube. Patients were followed up on days 7, 28, and 90. RESULTS: Survival at 28 and 90 days was significantly better in the FMT arm (100% versus 60%, p = 0.01; 53.84% versus 25%, p = 0.02). Hepatic encephalopathy resolved in 100% versus 57.14% (FMT versus SOC, p = 0.11) patients, while ascites resolved in 100% versus 40% survivors (p = 0.04). Major adverse event rates, including spontaneous bacterial peritonitis and gastrointestinal bleeding, were similar in both groups (p = 0.77; p = 0.70). Median IL1beta decreased by 21.39% (IQR - 73.67 to 7.63) in the FMT group, whereas it increased in the SOC by 27.44% (IQR - 0.88 to 128.11) (p = 0.01). Percentage changes in bilirubin and ALT between baseline and day 7 emerged as predictors of 90-day mortality. CONCLUSION: FMT is safe, improves short-term and medium-term survival, and leads to improvement in clinical severity scores in patients with SAH-ACLF. CLINICAL TRIAL NUMBER: NCT03827772 available from http://clinicaltrials.gov/ct2/show/NCT03827772 CTRI Reference number: CTRI/2019/02/017538 dated 7 February 2019.

Short Research Communication Anti-Spike Antibody Response to COVISHIELD™ (SII-ChAdOx1 nCoV-19) Vaccine in Patients with B-Cell and Plasma Cell Malignancies and Hematopoietic Cell Transplantation Recipients.

Introduction: There is limited data on the serologic antibody responses after the ChAdOx1 vaccine in patients with hematological malignancies and hematopoietic cell transplantation recipients. There is no data on the safety and efficacy of the Indian COVISHIELD™ vaccine in this population. Methods: This study reports the anti-S antibody response to the COVISHIELD™ vaccine in a prospective cohort of patients with B-cell and plasma cell malignancies and HCT recipients at a single center. The quantitative antibodies to the SARS-CoV-2 S protein receptor-binding domain in human plasma were determined by the validated Roche Elecsys Anti-SARS-CoV-2 S kit. Results: A total of 118 patients were included over the study period from April 2021 to August 2021. The seropositivity rate at baseline and after the first and second dose of the vaccine was 39%, 66%, and 79%, respectively (p < 0.0001). The seronegative cohort had a higher median age (65 vs. 60 years, p = 0.03), were more likely to be males (81% vs. 42%, p = 0.009), had a diagnosis of B-CLPD (100% vs. 42%, p < 0.001) and were more likely to be on ibrutinib therapy (56% vs. 15%, p = 0.001). Conclusions: This study confirms the safety and efficacy of the COVISHIELD™ vaccine in patients with hematological malignancies.

Integrative multiomics and in silico analysis revealed the role of ARHGEF1 and its screened antagonist in mild and severe COVID-19 patients.

COVID-19 is a sneaking deadly disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The rapid increase in the number of infected patients worldwide enhances the exigency for medicines. However, precise therapeutic drugs are not available for COVID-19; thus, exhaustive research is critically required to unscramble the pathogenic tools and probable therapeutic targets for the development of effective therapy. This study utilizes a chemogenomics strategy, including computational tools for the identification of viral-associated differentially expressed genes (DEGs), and molecular docking of potential chemical compounds available in antiviral, anticancer, and natural product-based libraries against these DEGs. We scrutinized the messenger RNA expression profile of SARS-CoV-2 patients, publicly available on the National Center for Biotechnology Information-Gene Expression Omnibus database, stratified them into different groups based on the severity of infection, superseded by identification of overlapping mild and severe infectious (MSI)-DEGs. The profoundly expressed MSI-DEGs were then subjected to trait-linked weighted co-expression network construction and hub module detection. The hub module MSI-DEGs were then exposed to enrichment (gene ontology + pathway) and protein-protein interaction network analyses where Rho guanine nucleotide exchange factor 1 (ARHGEF1) gene conjectured in all groups and could be a probable target of therapy. Finally, we used the molecular docking and molecular dynamics method to identify inherent hits against the ARHGEF1 gene from antiviral, anticancer, and natural product-based libraries. Although the study has an identified significant association of the ARHGEF1 gene in COVID19; and probable compounds targeting it, using in silico methods, these targets need to be validated by both in vitro and in vivo methods to effectively determine their therapeutic efficacy against the devastating virus.

Adherence to long-term follow-up preventive practices in allogeneic hematopoietic cell transplantation survivors from North India.

Introduction: There are existing international guidelines for long-term follow-up (LTFU) care of allogeneic hematopoietic cell transplantation (allo-HCT) survivors. However, implementing these guidelines represents a unique challenge in resource-challenged settings. Methods: This study aimed to evaluate adherence to recommended surveillance in allo-HCT survivors at an academic center in North India and study the incidence of late effects. This single-center, retrospective study analyzed records of allo-HCT recipients from 2016 to 2020. Survivors were screened in our LTFU clinic at day +100 and +365 using cardiometabolic parameters (screening for hypertension, dyslipidemia, hyperglycemia, 24-hour urine protein, thyroid function), pulmonary function test (PFT), bone mineral density (BMD), and initiation of revaccination. Results: A total of 40/80 (50%) allo-HCT survivors were alive at a median of 888 days (IQR 515-1,306). The adherence to home-based screening parameters such as blood pressure and blood glucose was highest (>75%), followed by lab-based parameters (45-70%), and lowest for specialized tests such as PFT (<50%) at both day +100 and +365 time points. Adherence to the initiation of revaccination was only 67%. At least one cardiometabolic parameter was out of range in 55% and 63% of survivors at day +100 and +365, respectively. Conclusion: The adherence to recommended surveillance measures for allo-HCT survivors in an academic LTFU clinic at one year was only 75% overall. Cardiometabolic abnormalities were noted in more than half of the survivors. This study emphasizes the need for a structured LTFU clinic in all centers performing HCT.

Impact of broad-spectrum antibiotic exposures and multidrug-resistant gram-negative bacteremia on hematopoietic cell transplantation outcomes.

INTRODUCTION: There is a close association between the use of broad-spectrum antibiotics, gut microbiome alteration, multidrug resistant (MDR) gram-negative bacilli (GNB) bacteremia, graft versus host disease (GVHD), and mortality post-allogeneic hematopoietic cell transplantation (allo-HCT). This study reports the impact of the high use of carbapenems and colistin and MDR bacteremia pre- and post-HCT on HCT outcomes. METHODS: This was a single-center, partial retrospective, and prospective study from 2016 to 2020. Both pre- and post-HCT antibiotic exposures and blood culture/sensitivity were recorded. MDR GNB was defined as either non-susceptibility to third-generation cephalosporin or carbapenems. In the absence of positive cultures, the treating physician escalated antibiotics from third-generation cephalosporins to carbapenem and/or colistin as per clinical discretion. De-escalation policy was not strictly enforced. RESULTS: MDR GNB bacteremia was seen in 29 of 76 (38%) of patients peri-HCT. The utilization rates for carbapenems and colistin was significantly higher in the cohort with MDR GNB bacteremia pre-HCT (70% vs. 32%, p = 0.002 and 31% vs. 6.4%, p = 0.007, respectively) and post-HCT (100% vs. 74.5%, p = 0.002, and 55.2% vs. 8.5%, p < 0.0001, respectively). The cohort with MDR GNB bacteremia had significantly more severe acute GVHD at day+100 (45% vs. 17.5%, p = 0.009). The median survival was 204 days compared to not reached in the cohort without any MDR GNB bacteremia (p = 0.005). CONCLUSION: This study shows pre- and post-HCT MDR GNB bacteremia is associated with an increased risk of severe acute GVHD and mortality. Patients with MDR GNB bacteremia had higher exposure to pre- and post-HCT carbapenems and colistin.