First-in-class small molecule drugs in 2022.

2022 is the third year of the global COVID-19 pandemic, and its troubles on new drug discovery are gradually apparent. 37 new drugs were approved by the FDA's Center for Drug Evaluation and Research (CDER) last year, down from the peak of 50 new drug approvals in 2021. Notably, first-in-class drugs still occupy a dominant position this year, with a total of 21 drugs. Among them, 7 are first-in-class small molecule drugs. Although the total number of new drug approvals in 2022 sharply decreased, some first-in-class small molecule drugs were regarded as significant, including mitapivat, the first oral activator targeting the pyruvate kinase (PK);mavacamten, the first selective allosteric inhibitor targeting the myocardial beta myosin ATPase;deucravacitinib, the first deuterated allosteric inhibitor targeting the tyrosine kinase 2 (TYK2);and lenacapavir, the first long-acting inhibitor targeting the HIV capsid. Generally, the research of first-in-class drugs needs to focus on difficult clinical problems and can treat some specific diseases through novel targets and biological mechanisms. There are tremendous challenges in the research processes of new drugs, including biological mechanism research, target selection, molecular screening, lead compound identification and druggability optimization. Therefore, the success of first-in-class drugs development has prominent guidance significance for new drug discovery. This review briefly describes the discovery background, research and development process and therapeutic application of 3 firstin- class small molecule drugs to provide research ideas and methods for more first-in-class drugs.Copyright © 2023, Chinese Pharmaceutical Association. All rights reserved.

A Novel Method to Map Small RNAs with High Resolution.

Analyzing cellular structures and the relative location of molecules is essential for addressing biological questions. Super-resolution microscopy techniques that bypass the light diffraction limit have become increasingly popular to study cellular molecule dynamics in situ. However, the application of super-resolution imaging techniques to detect small RNAs (sRNAs) is limited by the choice of proper fluorophores, autofluorescence of samples, and failure to multiplex. Here, we describe an sRNA-PAINT protocol for the detection of sRNAs at nanometer resolution. The method combines the specificity of locked nucleic acid probes and the low background, precise quantitation, and multiplexable characteristics of DNA Point Accumulation for Imaging in Nanoscale Topography (DNA-PAINT). Using this method, we successfully located sRNA targets that are important for development in maize anthers at sub-20 nm resolution and quantitated their exact copy numbers. Graphic abstract: Multiplexed sRNA-PAINT. Multiple Vetting and Analysis of RNA for In Situ Hybridization (VARNISH) probes with different docking strands (i.e., a, b, …) will be hybridized to samples. The first probe will be imaged with the a* imager. The a* imager will be washed off with buffer C, and then the sample will be imaged with b* imager. The wash and image steps can be repeated sequentially for multiplexing.

Bioinformatics and system biology approach to identify the influences among COVID-19, ARDS and sepsis.

Background Severe coronavirus disease 2019 (COVID -19) has led to severe pneumonia or acute respiratory distress syndrome (ARDS) worldwide. we have noted that many critically ill patients with COVID-19 present with typical sepsis-related clinical manifestations, including multiple organ dysfunction syndrome, coagulopathy, and septic shock. The molecular mechanisms that underlie COVID-19, ARDS and sepsis are not well understood. The objectives of this study were to analyze potential molecular mechanisms and identify potential drugs for the treatment of COVID-19, ARDS and sepsis using bioinformatics and a systems biology approach. Methods Three RNA-seq datasets (GSE171110, GSE76293 and GSE137342) from Gene Expression Omnibus (GEO) were employed to detect mutual differentially expressed genes (DEGs) for the patients with the COVID-19, ARDS and sepsis for functional enrichment, pathway analysis, and candidate drugs analysis. Results We obtained 110 common DEGs among COVID-19, ARDS and sepsis. ARG1, FCGR1A, MPO, and TLR5 are the most influential hub genes. The infection and immune-related pathways and functions are the main pathways and molecular functions of these three diseases. FOXC1, YY1, GATA2, FOXL, STAT1 and STAT3 are important TFs for COVID-19. mir-335-5p, miR-335-5p and hsa-mir-26a-5p were associated with COVID-19. Finally, the hub genes retrieved from the DSigDB database indicate multiple drug molecules and drug-targets interaction. Conclusion We performed a functional analysis under ontology terms and pathway analysis and found some common associations among COVID-19, ARDS and sepsis. Transcription factors-genes interaction, protein-drug interactions, and DEGs-miRNAs coregulatory network with common DEGs were also identified on the datasets. We believe that the candidate drugs obtained in this study may contribute to the effective treatment of COVID-19.

GRP78 Inhibitor YUM70 Suppresses SARS-CoV-2 Viral Entry, Spike Protein Production and Ameliorates Lung Damage.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the COVID-19 pandemic, has given rise to many new variants with increased transmissibility and the ability to evade vaccine protection. The 78-kDa glucose-regulated protein (GRP78) is a major endoplasmic reticulum (ER) chaperone that has been recently implicated as an essential host factor for SARS-CoV-2 entry and infection. In this study, we investigated the efficacy of YUM70, a small molecule inhibitor of GRP78, to block SARS-CoV-2 viral entry and infection in vitro and in vivo. Using human lung epithelial cells and pseudoviral particles carrying spike proteins from different SARS-CoV-2 variants, we found that YUM70 was equally effective at blocking viral entry mediated by original and variant spike proteins. Furthermore, YUM70 reduced SARS-CoV-2 infection without impacting cell viability in vitro and suppressed viral protein production following SARS-CoV-2 infection. Additionally, YUM70 rescued the cell viability of multi-cellular human lung and liver 3D organoids transfected with a SARS-CoV-2 replicon. Importantly, YUM70 treatment ameliorated lung damage in transgenic mice infected with SARS-CoV-2, which correlated with reduced weight loss and longer survival. Thus, GRP78 inhibition may be a promising approach to augment existing therapies to block SARS-CoV-2, its variants, and other viruses that utilize GRP78 for entry and infection.

First-in-class small molecule drugs in 2022

2022 is the third year of the global COVID-19 pandemic, and its troubles on new drug discovery are gradually apparent. 37 new drugs were approved by the FDA's Center for Drug Evaluation and Research (CDER) last year, down from the peak of 50 new drug approvals in 2021. Notably, first-in-class drugs still occupy a dominant position this year, with a total of 21 drugs. Among them, 7 are first-in-class small molecule drugs. Although the total number of new drug approvals in 2022 sharply decreased, some first-in-class small molecule drugs were regarded as significant, including mitapivat, the first oral activator targeting the pyruvate kinase (PK);mavacamten, the first selective allosteric inhibitor targeting the myocardial beta myosin ATPase;deucravacitinib, the first deuterated allosteric inhibitor targeting the tyrosine kinase 2 (TYK2);and lenacapavir, the first long-acting inhibitor targeting the HIV capsid. Generally, the research of first-in-class drugs needs to focus on difficult clinical problems and can treat some specific diseases through novel targets and biological mechanisms. There are tremendous challenges in the research processes of new drugs, including biological mechanism research, target selection, molecular screening, lead compound identification and druggability optimization. Therefore, the success of first-in-class drugs development has prominent guidance significance for new drug discovery. This review briefly describes the discovery background, research and development process and therapeutic application of 3 firstin- class small molecule drugs to provide research ideas and methods for more first-in-class drugs.Copyright © 2023, Chinese Pharmaceutical Association. All rights reserved.

Pre-existing chronic liver disease is associated with poor outcome in patients with SARS-CoV2 infection

COVID-19 is characterized by predominant respiratory and gastrointestinal symptoms. Liver enzymes derangement is seen in 15-55% of the patients. Cirrhosis is characterized by immune dysregulation, leading to concerns that these patients may be at increased risk of complications following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Patients with metabolic dysfunction-associated fatty liver (MAFLD) had shown a 4-sixfold increase in severity of COVID-19, and its severity and mortality increased in patients with higher fibrosis scores. Patients with chronic liver disease had shown that cirrhosis is an independent predictor of severity of COVID-19 with increased hospitalization and mortality. An international European registry study included 756 patients with chronic liver disease from 29 countries reports high mortality in patients with cirrhosis (32%). Data of 228 patients collected from 13 Asian countries on patients with CLD, known or newly diagnosed, with confirmed COVID-19 (APCOLIS study) showed that SARSCoV- 2 infection produces acute liver injury in 43% of CLD patients without cirrhosis. Additionally, 20% of compensated cirrhosis patients develop either ACLF or acute decompensation. In decompensated cirrhotics, the liver injury was progressive in 57% of patients, with 43% mortality. Patients with CLD and associated diabetes and obesity had a worse outcome. Liver related complications were seen in nearly half of the decompensated cirrhotics, which were of greater severity and with higher mortality. Increase in Child Turcotte Pugh (CTP) score and model for end-stage liver disease (MELD) score increases the mortality in these patients. In a subsequent study of 532 patients from 17 Asian countries was obtained with 121 cases of cirrhosis. An APCOLIS risk score was developed, which included presence of comorbidity, low platelet count, AKI, HE and respiratory failure predicts poor outcome and an APCOLIS score of 34 gave a sensitivity and specificity of 79.3%, PPV of 54.8% and NPV of 92.4% and predicted higher mortality (54.8% vs 7.6%, OR = 14.3 [95 CI 5.3-41.2], p<0.001) in cirrhosis patients with Covid-19. The APCOLIS score is helpful in triaging and prognostication of cirrhotics with Coivd-19. The impact of COVID-19 on patients with cirrhosis due to non-alcoholic fatty liver disease (NASH-CLD) was separately studied in 177 NASH-CLD patients. Obese patients with diabetes and hypertension had a higher prevalence of symptomatic COVID. Presence of diabetes [HR 2.27], fraility [HR 2.68], leucocyte counts [HR 1.69] and COVID-19 were independent predictors of worsening liver functions in patients with NASH-CLD. Severity of Covid in Cirrhosis could also be assessed by measuring ICAM1 the Intercellular Adhesion Molecule, an indicator of Endothelial Injury Marker. in Cirrhosis with Covid 19 Immunosuppression should be reduced prophylactically in patients with autoimmune liver disease and post-transplantation with no COVID-19. Hydroxychloroquine and remdesivir are found to be safe in limited studies in a patient with cirrhosis and COVID-19. And is safe in cirrhosis patients. However, flare of AIH has been reported in AIH patients. For hepatologists, cirrhosis with COVID-19 is a pertinent issue as the present pandemic cause severe disease in patients with chronic liver disease leading to more hospitalization and decompensation.

Using system biology and bioinformatics to identify the influences of COVID-19 co-infection with influenza virus on COPD.

Coronavirus disease 2019 (COVID-19) has speedily increased mortality globally. Although they are risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), less is known about the common molecular mechanisms behind COVID-19, influenza virus A (IAV), and chronic obstructive pulmonary disease (COPD). This research used bioinformatics and systems biology to find possible medications for treating COVID-19, IAV, and COPD via identifying differentially expressed genes (DEGs) from gene expression datasets (GSE171110, GSE76925, GSE106986, and GSE185576). A total of 78 DEGs were subjected to functional enrichment, pathway analysis, protein-protein interaction (PPI) network construct, hub gene extraction, and other potentially relevant disorders. Then, DEGs were discovered in networks including transcription factor (TF)-gene connections, protein-drug interactions, and DEG-microRNA (miRNA) coregulatory networks by using NetworkAnalyst. The top 12 hub genes were MPO, MMP9, CD8A, HP, ELANE, CD5, CR2, PLA2G7, PIK3R1, SLAMF1, PEX3, and TNFRSF17. We found that 44 TFs-genes, as well as 118 miRNAs, are directly linked to hub genes. Additionally, we searched the Drug Signatures Database (DSigDB) and identified 10 drugs that could potentially treat COVID-19, IAV, and COPD. Therefore, we evaluated the top 12 hub genes that could be promising DEGs for targeted therapy for SARS-CoV-2 and identified several prospective medications that may benefit COPD patients with COVID-19 and IAV co-infection.

Unwinding mechanism of SARS-CoV helicase (nsp13) in the presence of Ca2+, elucidated by biochemical and single-molecular studies.

The recent outbreak of COVID-19 has created a serious health crisis with fatFal infectious viral diseases, such as Severe Acute Respiratory Syndrome (SARS). The nsp13, a helicase of coronaviruses is an essential element for viral replication that unwinds secondary structures of DNA and RNA, and is thus considered a major therapeutic target for treatment. The replication of coronaviruses and other retroviruses occurs in the cytoplasm of infected cells, in association with viral replication organelles, called virus-induced cytosolic double-membrane vesicles (DMVs). In addition, an increase in cytosolic Ca2+ concentration accelerates viral replication. However, the molecular mechanism of nsp13 in the presence of Ca2+ is not well understood. In this study, we applied biochemical methods and single-molecule techniques to demonstrate how nsp13 achieves its unwinding activity while performing ATP hydrolysis in the presence of Ca2+. Our study found that nsp13 could efficiently unwind double stranded (ds) DNA under physiological concentration of Ca2+ of cytosolic DMVs. These findings provide new insights into the properties of nsp13 in the range of calcium in cytosolic DMVs.

Inflammatory Pathways Associated with Covid-19 Severity Differ Based on Obesity Status

Background: Severe COVID-19 and obesity are characterized by higher inflammation. We aimed to examine early inflammatory patterns in people with (Ob) and without (NOb) obesity and COVID-19 and how they relate to COVID-19 disease severity Methods: Ob (BMI >30 Kg/m2) and NOb with COVID-19 matched for age, sex and WHO disease severity provided blood early after diagnosis. Immunoassays measured 57 plasma biomarkers reflecting innate immune and endothelial activation, systemic inflammation, coagulation, metabolism and microbial translocation (Fig 1). Between-group differences were assessed by Mann- Whitney. Associations between subsequent maximal COVID-19 severity (mild vs moderate/severe/critical) and biomarkers were explored by logistic regression adjusted for age, sex, hypertension (HTN) and diabetes (DM). Data are median pg/mL [IQR] or n [%] unless stated Results: Of 100 subjects (50 Ob and 50 Nob) presenting between April 2020 and March 2021, characteristics (Ob vs Nob) included: age 65 [23-91] vs 65 [21-95];female sex 27 (48%) vs 28 (56%);BMI 33.7 [30.0-71.8] vs 23.3 [15.3-25.9];disease severity mild 22 [48%] vs 23 [46%], moderate 15 [30%] vs 13 [26%], severe 6 [12%] vs 7 [14%];HTN 30 (60%) vs 17 (34%);DM 19 [38%] vs 6 [12%];days from symptom onset 7 [2-17] vs 8 [1-15];vaccinated 3 (6%) vs 0 (0%). Compared to NOb, Ob had higher IFN-alpha (1.8 [0.6;11] vs 0.9 [0.1;4.7]), CRP (10 mAU/mL [9.6;10.2] vs 9.7 [7.2;10]), IL-1RA (197 [122;399] vs 138 [88;253]), IL-4 (288 AU/mL [161;424] vs 205 [82;333]), vWF (252 [166;383] vs 163 [96;318]), Zonulin (114 ng/mL [77;131] vs 57 [18;106]), Resistin (956 [569;1153] vs 727 [712;1525]), Leptin (3482 [1513;5738] vs 848 [249;2114]), and lower Adiponectin (1.12 mg/L [0.09;1.5] vs 1.5 [1.18;1.93]), all p< 0.05. In both groups higher, proinflammatory IL-18 and lower levels of antiinflammatory CCL22 and IL-5 were associated with higher odds of disease severity, and lower E-selectin with higher disease severity only in Ob. However, in NOb higher type 3 interferons (IL-28A), macrophage activation (sCD163, CCL3) and vascular inflammation markers (ICAM-1, VCAM-1), along with higher S100B, GM-CSF and leptin were also associated with disease severity, a pattern not observed in Ob (Fig 1) Conclusion(s): Although Ob had higher overall levels of inflammation than NOb, few biomarkers predicted subsequent COVID-19 severity in Ob. These differential inflammatory patterns suggest dysregulated immune responses in Ob with COVID-19. (Figure Presented).

ICAM-1 MEDIATES PLASMACYTOID DENDRITIC CELL SENSING OF SARS-CoV-2-INFECTED CELLS

Background: Plasmacytoid dendritic cells (pDCs) are the major producer of type I IFNs (IFN-I), the critically important antiviral cytokines against SARS-CoV- 2. Although pDCs can sense cell-free SARS-CoV-2 virions, it is unknown whether they can detect infected cells to produce IFN-I. Since cell-to-cell transmission accounts for 90% of SARS-CoV-2 infections (Zeng et al., 2022), we examined the relevance of pDC sensing of infected cells in SARS-CoV-2 infection and whether the virus exploits this pathway to evade IFN-I responses. Method(s): LSPQ1, the first SARS-CoV-2 clinical isolate received from the Public Health Laboratory of Quebec, was used as a prototype virus. SARS-CoV-2 variants of concerns (VOCs) were also used. PBMCs or enriched pDCs were cocultured with mock-infected or SARS-CoV-2-infected HeLa-hACE2 or Calu-3. Either PBMCs, enriched pDCs, or HeLa-hACE2 were pretreated with anti-human ICAM-1 antibody or isotype control. The conjugate formation was determined by flow cytometry. Polarized Caco cells were used to validate critical data. Result(s): Upon sensing infected cells, PBMCs release 6-fold more IFN-I than they do when exposed to cell-free virions. Antibody-mediated depletion of pDCs from PBMCs abolishes IFN-I secretion. Direct contact of pDCs with infected cells is required for sensing since the use of a transwell membrane reduces IFN-I release by 85%. Infected cells form conjugates with pDCs more frequently (3.2-fold higher) than uninfected cells. Blocking ICAM-1 on infected cells or pDCs impacts conjugate formation and significantly suppresses IFN-I production by 55-80%, suggesting bidirectional interaction. Moreover, human lung cells infected with VOCs are sensed to a different extent with the alpha variant being the least efficiently sensed by pDCs compared to the delta or omicron strains. Even though SARS-CoV-2 is primarily released from the apical domain of polarized infected Caco cells, sensing of infected cells does occur upon direct contact of pDCs with the basolateral domain, highlighting how pDCs antiviral responses might be triggered in respiratory tissues. Conclusion(s): pDC sensing of infected cells accounts for the vast majority of IFN-I released during SARS-CoV-2 infection. ICAM-1 promotes physical contact between pDCs and infected cells, thus leading to efficient sensing. Differential pDC sensing of SARS-CoV-2 VOC-infected cells suggests that some VOCs might manipulate the interactions of pDCs with infected cells to limit IFN-I responses.

Inflammatory and Blood-Brain Barrier Markers after Covid-19 among People with Hiv

Background: COVID-19, the disease caused by SARS-CoV-2, has resulted in devastating morbidity and mortality worldwide. Alarming evidence indicates that long-term adverse outcomes of COVID-19 can affect all major systems of the body, including the immune, respiratory, cardiovascular, and neurological systems. While acute COVID-19 pathology does not appear to be markedly different by HIV status, long-term outcomes of COVID-19 in People with HIV (PWH) are unknown and require further investigation. This study evaluates the inflammatory profile longitudinally up to three months after COVID-19. In addition, markers of the blood-brain barrier (BBB) integrity and vascular dysfunction were also evaluated. Method(s): Plasma samples were collected from 15 males and 6 females with COVID-19 and HIV infection (COVID+/HIV+) and 9 males and 14 females with COVID-19 without HIV infection (COVID+/HIV-) between March 2020 and March 2021. Baseline samples were obtained approx. 10 days after COVID-19 diagnosis (T=0) and three months after (T=3). Mean age group for COVID+/HIV-was 45.4+/-17.8 years for males and 39.7+/-15.3 for females and for COVID+/HIV+ was 52.1+/-12.3 for males and 48.7+/-1 for females (N=15 and 6, respectively). 27 inflammatory molecules were measured by Bio-Plex Multiplex Immunoassay (Bio-Rad) and two markers of BBB and vascular dysfunction (soluble ICAM1 and S100beta) by ELISA. Result(s): Out of 27 inflammatory analytes, 20 had detectable signals. Eotaxin (CCL11) and G-CSF levels were differentially upregulated in the COVID+/HIV+ group as compared to the COVID+/HIV-group in both time point studied (Table 1). IFN-g showed sustained increased levels at T=3 in the COVID+/HIV+ group, whereas there was a significant reduction over time in the COVID+/HIV-group. At T3, inflammatory markers (IL-4, IL-8, IL-13, basic FGF, TNF-alpha, MIP-1alpha, and CCL2) either decreased or remained unchanged in both groups. In contrast, the markers of the BBB disruption and vascular dysfunction, such as S100beta and soluble ICAM-1 increased in the COVID+/HIV+ group, suggesting long-term progressive BBB and vascular alterations. Conclusion(s): HIV-1 may potentiate long COVID-19-induced neuropathology, with progressive BBB breakdown and sustained increase in eotaxin-1 and G-CSF. Plasma inflammatory markers in COVID-19 patients with or without HIV-1 co-infection.

Small-molecule metabolites in SARS-CoV-2 treatment: a comprehensive review.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has quickly spread all over the world. In this respect, traditional medicinal chemistry, repurposing, and computational approaches have been exploited to develop novel medicines for treating this condition. The effectiveness of chemicals and testing methods in the identification of new promising therapies, and the extent of preparedness for future pandemics, have been further highly advantaged by recent breakthroughs in introducing noble small compounds for clinical testing purposes. Currently, numerous studies are developing small-molecule (SM) therapeutic products for inhibiting SARS-CoV-2 infection and replication, as well as managing the disease-related outcomes. Transmembrane serine protease (TMPRSS2)-inhibiting medicinal products can thus prevent the entry of the SARS-CoV-2 into the cells, and constrain its spreading along with the morbidity and mortality due to the coronavirus disease 2019 (COVID-19), particularly when co-administered with inhibitors such as chloroquine (CQ) and dihydroorotate dehydrogenase (DHODH). The present review demonstrates that the clinical-stage therapeutic agents, targeting additional viral proteins, might improve the effectiveness of COVID-19 treatment if applied as an adjuvant therapy side-by-side with RNA-dependent RNA polymerase (RdRp) inhibitors.

Bioinformatics Approach to Identify the Influences of COVID-19 on Ischemic Stroke.

As severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is becoming more infectious and less virulent, symptoms beyond the lungs of the Coronavirus Disease 2019 (COVID-19) patients are a growing concern. Studies have found that the severity of COVID-19 patients is associated with an increased risk of ischemic stroke (IS); however, the underlying pathogenic mechanisms remain unknown. In this study, bioinformatics approaches were utilized to explore potential pathogenic mechanisms and predict potential drugs that may be useful in the treatment of COVID-19 and IS. The GSE152418 and GSE122709 datasets were downloaded from the GEO website to obtain the common differentially expressed genes (DEGs) of the two datasets for further functional enrichment, pathway analysis, and drug candidate prediction. A total of 80 common DEGs were identified in COVID-19 and IS datasets for GO and KEGG analysis. Next, the protein-protein interaction (PPI) network was constructed and hub genes were identified. Further, transcription factor-gene interactions and DEGs-miRNAs coregulatory network were investigated to explore their regulatory roles in disease. Finally, protein-drug interactions with common DEGs were analyzed to predict potential drugs. We successfully identified the top 10 hub genes that could serve as novel targeted therapies for COVID-19 and screened out some potential drugs for the treatment of COVID-19 and IS.

Enantioselective Effect of Chiral Small Molecules in SARS-CoV-2 Vaccine-Induced Immune Response.

Although numerous chiral small molecules have been discovered and synthesized, the investigation on their enantioselective immunological effects remains limited. In this study, we designed and synthesized a pair of small molecule enantiomers (R/S-ResP) by covalently bonding two immunostimulators (resiquimod/Res) onto a planar chiral framework (paracyclophane/P). Notably, we found that S-ResP exhibits a 4.05-fold higher affinity for toll-like receptor 7 (TLR7) than R-ResP, thereby more effectively enhancing the functions of dendritic cells and macrophages in cytokine secretion and antigen internalization. Furthermore, we observed that S-ResP significantly enhances RBD antigen-induced cross-neutralization against various SARS-CoV-2 strains compared to R-ResP. These findings demonstrate the enantioselective effects of small molecules on regulating vaccine-induced immune responses and emphasize the significance of chirality in designing small molecular adjuvants.

In Vitro and In Vivo Therapeutic Potential of 6,6'-Dihydroxythiobinupharidine (DTBN) from Nuphar lutea on Cells and K18-hACE2 Mice Infected with SARS-CoV-2.

We have previously published research on the anti-viral properties of an alkaloid mixture extracted from Nuphar lutea, the major components of the partially purified mixture found by NMR analysis. These are mostly dimeric sesquiterpene thioalkaloids called thiobinupharidines and thiobinuphlutidines against the negative strand RNA measles virus (MV). We have previously reported that this extract inhibits the MV as well as its ability to downregulate several MV proteins in persistently MV-infected cells, especially the P (phospho)-protein. Based on our observation that the Nuphar extract is effective in vitro against the MV, and the immediate need that the coronavirus disease 2019 (COVID-19) pandemic created, we tested here the ability of 6,6'-dihydroxythiobinupharidine DTBN, an active small molecule, isolated from the Nuphar lutea extract, on COVID-19. As shown here, DTBN effectively inhibits SARS-CoV-2 production in Vero E6 cells at non-cytotoxic concentrations. The short-term daily administration of DTBN to infected mice delayed the occurrence of severe clinical outcomes, lowered virus levels in the lungs and improved survival with minimal changes in lung histology. The viral load on lungs was significantly reduced in the treated mice. DTBN is a pleiotropic small molecule with multiple targets. Its anti-inflammatory properties affect a variety of pathogens including SARS-CoV-2 as shown here. Its activity appears to target both pathogen specific (as suggested by docking analysis) as well as cellular proteins, such as NF-κB, PKCs, cathepsins and topoisomerase 2, that we have previously identified in our work. Thus, this combined double action of virus inhibition and anti-inflammatory activity may enhance the overall effectivity of DTBN. The promising results from this proof-of-concept in vitro and in vivo preclinical study should encourage future studies to optimize the use of DTBN and/or its molecular derivatives against this and other related viruses.

COVID-19 in inherited metabolic disorders: Clinical features and risk factors for disease severity.

BACKGROUND: Old age, obesity, and certain chronic conditions are among the risk factors for severe COVID-19. More information is needed on whether inherited metabolic disorders (IMD) confer risk of more severe COVID-19. We aimed to establish COVID-19 severity and associated risk factors in patients with IMD currently followed at a single metabolic center. METHODS: Among all IMD patients followed at a single metabolic referral center who had at least one clinic visit since 2018, those with accessible medical records were reviewed for SARS-CoV-2 tests. COVID-19 severity was classified according to the WHO recommendations, and IMD as per the international classification of IMD. RESULTS: Among the 1841 patients with IMD, 248 (13.5%) had tested positive for COVID-19, 223 of whom gave consent for inclusion in the study (131 children and 92 adults). Phenylalanine hydroxylase (48.4%) and biotinidase (12.1%) deficiencies were the most common diagnoses, followed by mucopolysaccharidoses (7.2%). 38.1% had comorbidities, such as neurologic disabilities (22%) or obesity (9.4%). The majority of COVID-19 episodes were asymptomatic (16.1%) or mild (77.6%), but 6 patients (2.7%) each had moderate and severe COVID-19, and two (0.9%) had critical COVID-19, both of whom died. 3 patients had an acute metabolic decompensation during the infection. Two children developed multisystem inflammatory syndrome (MIS-C). Long COVID symptoms were present in 25.2%. Presence of comorbidities was significantly associated with more severe COVID-19 in adults with IMD (p < 0.01), but not in children (p = 0.45). Compared to other categories of IMD, complex molecule degradation disorders were significantly associated with more severe COVID-19 in children (p < 0.01); such a significant IMD category distinction was not found in adults. DISCUSSION: This is the largest study on COVID-19 in IMD patients relying on real-word data and objective definitions, and not on merely expert opinions or physician surveys. COVID-19 severity and long COVID incidence in IMD are probably similar to the general population, and the risk of acute metabolic decompensation is not likely to be greater than that in other acute infections. Disease category (complex molecule degradation) in children, and comorbidities in adults may be associated with COVID-19 severity in IMD. Additionally, the first documented accounts of COVID-19 in 27 different IMD are recorded. The high occurrence of MIS-C may be coincidental, but warrants further study.

Curcumin as a potential multiple-target inhibitor against SARS-CoV-2 Infection: A detailed interaction study using quantum chemical calculations

Curcumin is one of the important naturally occurring compounds having several medicinal properties such as: antiviral, antioxidant, antifibrotic, antineoplastic as well as anti-inflammatory. SARS-CoV-2 has emerged as inf-ectious virus, which severely infected a large number of people all over the world. Many efforts have been made to prepare novel antiviral compound, but it is still challenging. Naturally occurring compound, curcumin, can be used as an alternative to antiviral compound against SARS-CoV-2. Its effect against SARS-CoV-2 is already highlighted in the literature. But the quantitative study of its interaction with various precursors of SARS-CoV-2 is not reported till date. This paper reports the interaction of curcumin with angiotensin-convert-ing enzyme2, transmembrane serine protease 2, 3-chymotrypsin-like protease and papain-like protease through molecular docking and quantum chemistry calculations to achieve quantitative understanding of underlying interactions. Here the conformational flexibility of curcumin is also highlighted, which helps it to accommodate in the four different docking sites. The study has been performed using calculations of geometrical parameter, atomic charge, electron density, Laplacian of electron density, dipole moment and the energy gap between highest occupied and lowest unoccupied molecular orbitals. The non--covalentinteraction (NCI) analysis is performed to visualize the weak inter-action present in the active sites. Combinedly molecular docking and detailed quantum chemistry calculations revealed that curcumin can be adopted as a potential multiple-target inhibitor against SARS-CoV-2.

Nanopore single-molecule analysis of biomarkers: Providing possible clues to disease diagnosis

Biomarker detection has attracted increasing interest in recent years due to the minimally or non-invasive sampling process. Single entity analysis of biomarkers is expected to provide real-time and accurate biological information for early disease diagnosis and prognosis, which is critical to the effective disease treatment and is also important in personalized medicine. As an innovative single entity analysis method, nanopore sensing is a pioneering single-molecule detection technique that is widely used in analytical bioanalytical fields. In this review, we overview the recent progress of nanopore biomarker detection as new approaches to disease diagnosis. In highlighted studies, nanopore was focusing on detecting biomarkers of different categories of communicable and noncommunicable diseases, such as pandemic COVID-19, AIDS, cancers, neurologic diseases, etc. Various sensitive and selective nanopore detecting strategies for different types of biomarkers are summarized. In addition, the challenges, opportunities, and direction for future development of nanopore-based biomarker sensors are also discussed.Copyright © 2023 Elsevier B.V.

Plasma P-selectin is an early marker of thromboembolism in COVID-19

Objectives: The aim of this study was to explore the association of the plasma levels of coagulation proteins with venous thromboembolic events (VTE) in COVID-19 and identify candidate early markers of VTE. Background(s): Coagulopathy and thromboembolism are known complications of SARS-CoV-2 infection. The mechanisms of COVID-19-associated hematologic complications involve endothelial cell and platelet dysfunction and immunothrombosis and have been intensively studied. Yet, a full understanding of the pathogenesis and factors that lead to COVID-19 associated coagulopathy is lacking. Previous studies investigated only small numbers of coagulation proteins together, and they were limited in their ability to adjust for confounders. Method(s): This study was a post-hoc analysis of a previously published dataset (Filbin et al., 2021). We included in our analysis 305 subjects with confirmed SARS-CoV-2 infection who presented to an urban Emergency Department with acute respiratory distress during the first COVID-19 surge in 2020;13 (4.2%) were subsequently diagnosed with venous thromboembolism during hospitalization. Serial samples were obtained on days 0, 3, and 7 and assays were performed on two highly-multiplexed proteomic platforms, that in combination cover 1472 + 4776 proteins. We included 31 coagulation proteins in our analysis. Result(s): Nine coagulation proteins were differentially expressed in patients with thromboembolic events. In multivariable models, day 0 levels of P-selectin, a cell adhesion molecule on the surface of activated endothelial cells, displayed the strongest association with the diagnosis of VTE, independent of disease severity and other confounders (p=0.0025). P-selectin together with D-dimer upon hospital presentation provided better discriminative ability for VTE diagnosis than D-dimer alone (AUROC = 0.834 vs. 0.783). Conclusion(s): Our results suggest that plasma P-selectin is a potential early biomarker for the risk stratification of VTE in COVID-19 disease. Our findings support the importance of endothelial activation in the mechanistic pathway of venous thromboembolism in COVID-19.Copyright © 2023

Pharmacoinvasive Therapy in Treating Acute STEMI Patients in COVID-19 Era-Thrombolysis by Tenecteplase (TNK) / Streptokinase (STK) Followed by Rescue PCI of the Culprit Vessel

Background: Treating acute STEMI patients by primary PCI has dramatically fallen globally in covid era as there is chances of potential threat of spreading Covid among the non-Covid patient. Thereby, thrombolysis of acute STEMI patient either by Streptokinase (STK) or Tenecteplase (TNK) in grey zone till Covid RT PCR report to come, was the mode of treatment of acute myocardial infarction patient in our hospital. Post thrombolysis, Covid positive cases were managed conservatively in a Covid dedicated unit. Covid negative cases were treated by rescue PCI of the culprit lesion. Exact data on benefit of thrombolysis either by TNK or STK of STEMI patients in Covid era, is not well addressed in our patient population. Thereby, we have carried out this prospective observational study to see the outcomes of thrombolysis and subsequent intervention. Method(s): STEMI Patient who represented to our ER with chest pain and ECG and hs-TROP-I evidenced acute ST segment elevated myocardial infarction (STEMI), were enrolled in the study. Total 139 patients enrolled (Male:120, Female :19);average age for Male: 54yrs., female was: 56yrs. All patients were admitted in the grey zone of CCU where thrombolysis done either by TNK or STK. Positive for COVID-19, were patients excluded from intervention and managed conservatively in Covid-19 dedicated ward. Covid Negative patients were kept transferred to CCU green zone. Result(s): COVID-19 test was carried out on all studied patients. Among them, Covid-19 positive were 7.9% (11) patients and managed conservatively in dedicated Covid ward, Covid-19 negative were 92.1% (128). Primary PCI was performed in 5.03% (7). Rest was managed by Pharmacoinvasive therapy either by TNK or STK. Thrombolysis by Tenecteplase in 64% (89), Streptokinase in 17.9% (25) patient, 12.9% (18) patient did not receive any thrombolysis due to late presentation and primary PCI done in 5.4% (7). On average 2.1 days after Fibrinolysis, elective PCI carried out. Data analysis from 48 patients;chest pain duration (3.71 +/-2.8 hr., Chest pain to contact time 3.3+/-2.8hr., Chest pain to needle time 7.2 +/-12.7hr., thrombolysis to balloon time 117.5+/-314.8hr., as many of the patient develop LVF post thrombolysis. More than 50% stenosis resolution observed in 41.6% (20) patients, chest pain resolution with one hour of thrombolysis observed in 43.8% (21) patients and development of LVF in 20.8% (10) patients. Door to needle time was 30 min. At presentation of STEMI;Ant Wall MI 46.8% (65), Inferior Wall MI 52.5% (73) and high Lateral 0.7% (1). Average Serum hs Trop-I was 16656 for male and 12109 for female. LVEF were 41% for male and 48% for female. HbA1C were in Male 8.34%: Female 8.05%, SBP for Male 120mmHg: Female 128 mmHg. Total, 88 stents were deployed in 83 territories. CABG recommended for 5.03% (7) patients, PCI in 58.3% (81), remaining were kept on medical management. Stented territory was LAD 45.7% (37) and RCA 39.5% (32) and LCX 14.8% (12). Common stent used;Everolimus 61.4% (54), Sirolimus 25% (22), Progenitor cell with sirolimus 2.3%(2) and Zotarolimus 11.4% (10) Conclusion(s): In the era of COVID-19, in this prospective cohort study, on acute STEMI patient management, we found that Pharmaco therapy by Tenecteplase and Streptokinase, reduced patient symptom and ST resolution partially. Therefore, coronary angiogram and subsequent Rescue PCI by Drug Eluting Stents (DES) are key goals of complete revascularization.Copyright © 2023