Drug Development Programs Research Articles

Evolution of the Quinoline Scaffold for the Treatment of Leishmaniasis: A Structural Perspective.

Since the beginning of the XXI century, Leishmaniasis has been integrated into the World Health Organization's list of the 20 neglected tropical diseases, being considered a public health issue in more than 88 countries, especially in the tropics, subtropics, and the Mediterranean area. Statistically, this disease presents a world prevalence of 12 million cases worldwide, with this number being expected to increase shortly due to the 350 million people considered at risk and the 2-2.5 million new cases appearing every year. The lack of an appropriate and effective treatment against this disease has intensified the interest of many research groups to pursue the discovery and development of novel treatments in close collaboration with the WHO, which hopes to eradicate it shortly. This paper intends to highlight the quinoline scaffold's potential for developing novel antileishmanial agents and provide a set of structural guidelines to help the research groups in the medicinal chemistry field perform more direct drug discovery and development programs. Thus, this review paper presents a thorough compilation of the most recent advances in the development of new quinoline-based antileishmanial agents, with a particular focus on structure-activity relationship studies that should be considerably useful for the future of the field.

Moving Beyond Boundaries: Utilization of Longitudinal Exposure-Response Model for Bounded Outcome Score to Inform Decision Making in the Accelerated Drug Development Paradigm.

As drug development scientists strive to accelerate availability of therapies for patients, model-informed drug development (MIDD) plays an important role in contextualizing existing information and facilitating decision making. This paper describes an example of MIDD, where modeling and simulation informed decision making in the circumstance of a combined phase 2b and single pivotal study for ritlecitinib (JAK3/TEC family kinases inhibitor). Longitudinal exposure-response (ER) modeling was conducted to describe ritlecitinib efficacy in alopecia areata patients. The Severity of Alopecia Tool (SALT) score (a continuous bounded outcome [CBO] score [0-100]) was used as the efficacy response. The average concentration during the time interval between two adjacent SALT scores was used as the exposure metric driving efficacy. The developed model well described the longitudinal SALT profile of ritlecitinib as well as the frequency of boundary data. The CBO model indicated tested doses in the phase 2b/3 clinical trial are in the ascending region of ER and contextualized a loading dose effect that impacted onset of efficacy without long-term benefit. It also identified disease severity as the only covariate impacting efficacy. The model-based simulation further informed impact of treatment interruption on the loss of efficacy in the absence of a dedicated treatment withdrawal study. Results indicated temporary treatment interruption ≤ 6 weeks is not expected to result in significant loss of efficacy. The CBO modeling approach and simulation supported the single pivotal trial strategy and guided dose selection in the accelerated drug development program of ritlecitinib, which can be applied to many indications where efficacy is measured on a bounded scale.

The Role of Pharmacovigilance in Investigational New Drug (IND) Clinical Trials

The total number of clinical trials registered so far across India was 63,174. Clinical trials from India accounted for only 8.7% of the total number of trials conducted, while clinical trials from the US accounted for 47% of the total number of trials registered, followed by 24% from the EU and 13.1% from Japan. We can increase the number of clinical trials by ensuring the role of pharmacovigilance in investigational new drug (IND) clinical trials in ensuring safety, efficacy and ethical conduct of pharmaceutical research. As pharmaceutical companies advance novel compounds through clinical development, pharmacovigilance serves as a comprehensive system for the detection, assessment, and mitigation of potential risks associated with investigational drugs. This perspective review explores the multifaceted role of pharmacovigilance in IND clinical trials, emphasizing its significance in safeguarding trial participants and contributing to the overall success of drug development programs. Underscores the critical role of pharmacovigilance in investigational new drug clinical trials From pre-trial planning to post-marketing surveillance, pharmacovigilance is integral in maintaining the safety, integrity, and ethical conduct of clinical research. As an essential component of the drug development process, pharmacovigilance contributes to the overarching goal of delivering safe and efficacious treatments to patients and can be increase the clinical trial participation globally

Abstract B103: Development and characterisation of KRASmulti inhibitors for the treatment of KRAS mutant pancreatic ductal adenocarcinoma

Abstract Pancreatic ductal adenocarcinoma (PDAC) is predicted to become the second most common cause of cancer related death within the next decade. Late detection and limited therapeutic options drive the dismal prognosis for PDAC patients. Activating mutations within the KRAS gene occur within the vast majority (>85%) of PDAC tumors. KRAS mutations occur at an early stage within PDAC development but remain necessary for continued tumor growth. Clinical responses observed in patients with KRASG12C mutant PDAC treated with selective KRASG12C inhibitors have driven drug development programmes that can address other, more frequently occurring KRAS alleles. Here we report the characterization of a KRASmulti inhibitor, BI-2493, that potently inhibits the proliferation of mutant KRAS PDAC cancer cell lines in vitro. The DMPK properties of the compound have been optimized so that oral administration resulted in regression of KRAS mutant PDAC xenograft models. These data support the continued development of compounds capable of addressing the most prevalent KRAS mutant alleles in PDAC with the potential to provide a therapeutic option to patients in an indication with a high unmet medical need. Citation Format: Antonio Tedeschi, Otmar Schaaf, Michael Gmachl, Lorenz Herdeis, Francesca Rocchetti, Johannes Popow, Fiorella Schischlik, Daniel Gerlach, Jesse Lipp, Joachim Bröker, Andreas Mantoulidis, Chris Smethurst, Dirk Kessler, Jark Boettcher, Tobias Wunberg, Valeria Santoro, Alex Waterson, Jason Phan, Andrew Little, Jason Abbott, Qi Sun, Stephen Fesik, Darryl Mcconnell, Mark A. Pearson, Norbert Kraut, Dorothea Rudolph. Development and characterisation of KRASmulti inhibitors for the treatment of KRAS mutant pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B103.

Experience Learned and Perspectives on Using Model-Integrated Evidence in the Regulatory Context for Generic Drug Products-a Meeting Report.

This report summarizes relevant insights and discussions from a 2022 FDA public workshop titled Best Practices for Utilizing Modeling Approaches to Support Generic Product Development which illustrated how model-integrated evidence has been used and can be leveraged further to inform generic drug product development and regulatory decisions during the assessment of generic drug applications submitted to the FDA. The workshop attendees discussed that model-integrated evidence (MIE) approaches for generics are being applied in the space of long-acting injectable (LAI) products to develop shorter and more cost-effective alternative study designs for LAI products. Modeling and simulation approaches are utilized to support virtual BE assessments at the site of action for locally acting drug products and to assess the impact of food on BE assessments for oral dosage forms. The factors contributing to the success of the model-informed drug development program under PDUFA VI were discussed. The generic drug industry shared that decisions on formulation candidate/formulation variant selection, on pilot in vivo bioavailability studies, and on alternative study designs for BE assessment are informed by modeling and simulation approaches. There was agreement that interactions between the regulatory agencies and the industry are desirable because they improve the industry's understanding of scientific and other regulatory considerations on implementing modeling and simulation approaches in drug development and regulatory submissions.

Emerging Technologies and Advanced Biomarkers for Enhanced Toxicity Prediction and Safety Pharmacology

Background: Biomarkers are important tools in toxicology that can improve risk assessment, early detection of organ injury, and monitoring of pharmacological responses. However, rigorous validation is necessary to justify use for regulatory decisionmaking. Purpose: This article reviews the current landscape surrounding established and emerging biomarkers of toxicity across multiple techniques, with a focus on assessment of merits, limitations, and validation needs. Main Body: An overview of common clinical chemistry biomarkers used for safety monitoring of liver, kidney, heart, and inflammation is first provided, highlighting their biological relevance and applications in detecting organ dysfunction. Novel protein biomarkers emerging for enhanced sensitivity of injury detection are then discussed, such as microRNAs for liver and clusterin for kidney. Metabolomic biomarker approaches to assess biofluids and mitochondrial toxicity are outlined, along with toxicogenomic markers of susceptibility like HLA alleles. Non-invasive imaging techniques including ultrasound, MRI, and PET tracers for organ function are explored as techniques that provide additional modalities for biomarker measurement. Emerging tools like organ microphysiological systems and high-throughput omics for biomarker discovery are also described. Conclusion: While great progress has been made, translation and qualification of novel biomarkers remains challenging. This review synthesizes key developments across biomarker categories, evaluates readiness for regulatory use, and outlines strategic considerations for fit-for-purpose biomarker validation to advance integration into drug development programs.

Adrenoceptor Expression and Function in the Endocrine Pancreas.

The sympathetic nervous system plays an important role in the regulation of endocrine pancreatic function, most importantly insulin release. Among the nine adrenoceptor (AR) subtypes, the α2A-AR appears to be the subtype most abundantly expressed in the human pancreas. While α2- and β-AR have opposing effects, the net response to sympathetic stimulation is inhibition of insulin secretion mediated by α2-AR located in the plasma membrane of pancreatic β cells. This inhibition may be present physiologically as evidenced by increased insulin secretion in healthy and diabetic humans and animals in response to α2-AR antagonists, a finding that was confirmed in all studies. Based on such data and on an association of an α2A-AR polymorphism, that increases receptor expression levels, with an elevated risk for diabetes, increased α2A-AR signaling in the pancreatic β cells has been proposed as a risk factor for the development of type 2 diabetes. Thus, the α2A-AR was proposed as a drug target for the treatment of some forms of type 2 diabetes. Drug research and development programs leveraging this mechanism have reached the clinical stage, but none have resulted in an approved medicine due to a limited efficacy. While β-AR agonists can increase circulating insulin levels in vivo, it remains controversial whether this includes a direct effect on β cells or occurs secondary to general metabolic effects. Therefore, the regulation of endocrine pancreatic function is physiologically interesting but may be of limited therapeutic relevance.

Another decade of antimalarial drug discovery: New targets, tools and molecules.

Malaria remains a devastating but preventable infectious disease that disproportionately affects the African continent. Emerging resistance to current frontline therapies means that not only are new treatments urgently required, but also novel validated antimalarial targets to circumvent cross-resistance. Fortunately, tremendous efforts have been made by the global drug discovery community over the past decade. In this chapter, we will highlight some of the antimalarial drug discovery and development programmes currently underway across the globe, charting progress in the identification of new targets and the development of new classes of drugs to prosecute them. These efforts have been complemented by the development of valuable tools to accelerate target validation such as the NOD scid gamma (NSG) humanized mouse efficacy model and progress in predictive modelling and open-source software. Among the medicinal chemistry programmes that have been conducted over the past decade are those targeting Plasmodium falciparum ATPase4 (ATP4) and acetyl-CoA synthetase (AcAS) as well as proteins disrupting parasite protein translation such as the aminoacyl-tRNA synthetases (aaRSs) and eukaryotic elongation factor 2 (eEF2). The benefits and challenges of targeting Plasmodium kinases will be examined, with a focus on Plasmodium cyclic GMP-dependent protein kinase (PKG), cyclin-dependent-like protein kinase 3 (CLK3) and phosphatidylinositol 4-kinase (PI4K). The chapter concludes with a survey of incipient drug discovery centres in Africa and acknowledges the value of recent international meetings in galvanizing and uniting the antimalarial drug discovery community.

Benzenesulfonamide decorated dihydropyrimidin(thi)ones: carbonic anhydrase profiling and antiproliferative activity.

In the last decades, carbonic anhydrases (CAs) have become the top investigated innovative pharmacological targets and, in particular, isoforms IX and XII have been widely studied due to the evidence of their overexpression in hypoxic tumors. The frantic race to find new anticancer agents places the quick preparation of large libraries of putative bioactive compounds as the basis of a successful drug discovery and development programme. In this context, multi-component and, in general, one-step reactions are becoming very popular and, among them, Biginelli's reaction gave clean and easy-to-isolate products. Thus, we synthesized a series of Biginelli's products (10-17a-b) and similar derivatives (20-21) bearing the benzenesulfonamide moiety, which is known to inhibit CA enzymes. Through the stopped-flow technique, we were able to assess their ability to inhibit the targeted CAs IX and XII in the nanomolar range with promising selectivity over the physiologically relevant isoforms I and II. Crystallography studies and docking simulations helped us to gain insight into the interaction patterns established in the enzyme-inhibitor complex. From a chemical similarity-based screening of in-house libraries of compounds, a diphenylpyrimidine (23) emerged. The surprisingly potent inhibitory activity of 23 for CAs IX and XII along with its strong antiproliferative effect on two (triple-negative breast cancer MDA-MB-231 and glioblastoma U87MG) cell lines laid the foundation for further investigation, again confirming the key role of CAs in cancer.

JAK2 Loss Arising From Tumor-Spread-Through-Air-Spaces (STAS) Promotes Tumor Progression by Suppressing CD8+ T Cells in Lung Adenocarcinoma: A Machine Learning Approach.

Tumor spread through air spaces (STAS) is a recently discovered risk factor for lung adenocarcinoma (LUAD). The aim of this study was to investigate specific genetic alterations and anticancer immune responses related to STAS. By using a machine learning algorithm and drug screening in lung cancer cell lines, we analyzed the effect of Janus kinase 2 (JAK2) on the survival of patients with LUAD and possible drug candidates. This study included 566 patients with LUAD corresponding to clinicopathological and genetic data. For analyses of LUAD, we applied gene set enrichment analysis (GSEA), in silico cytometry, pathway network analysis, in vitro drug screening, and gradient boosting machine (GBM) analysis. The patients with STAS had a shorter survival time than those without STAS (P < 0.001). We detected gene set-related downregulation of JAK2 associated with STAS using GSEA. Low JAK2 expression was related to poor prognosis and a low CD8+ T-cell fraction. In GBM, JAK2 showed improved survival prediction performance when it was added to other parameters (T stage, N stage, lymphovascular invasion, pleural invasion, tumor size). In drug screening, mirin, CCT007093, dihydroretenone, and ABT737 suppressed the growth of lung cancer cell lines with low JAK2 expression. In LUAD, low JAK2 expression linked to the presence of STAS might serve as an unfavorable prognostic factor. A relationship between JAK2 and CD8+ T cells suggests that STAS is indirectly related to the anticancer immune response. These results may contribute to the design of future experimental research and drug development programs for LUAD with STAS.

Activity of ceftolozane/tazobactam, imipenem/relebactam and ceftazidime/avibactam against clinical Gram-negative isolates-SMART United States 2019-21.

Ongoing national and international surveillance efforts are critical components of antimicrobial stewardship, resistance monitoring, and drug development programs. In this report, we summarize the results of ceftolozane/tazobactam, imipenem/relebactam, ceftazidime/avibactam and comparator agent testing against 10 509 Enterobacterales and 2524 Pseudomonas aeruginosa collected by USA clinical laboratories in 2019-21 as part of the SMART global surveillance programme. MICs were determined by CLSI broth microdilution and interpreted using 2023 CLSI M100 breakpoints. Most Enterobacterales were ceftazidime/avibactam susceptible (>99%), meropenem susceptible (99%) and ceftolozane/tazobactam susceptible (94%). Non-Morganellaceae Enterobacterales were also highly susceptible to imipenem/relebactam (99%). Ceftolozane/tazobactam inhibited 94% of Escherichia coli and 89% of Klebsiella pneumoniae with ceftriaxone non-susceptible/non-carbapenem-resistant phenotypes. Against P. aeruginosa, ceftolozane/tazobactam (97% susceptible) was more active than ceftazidime/avibactam (95%) and imipenem/relebactam (91%). MDR and difficult-to-treat resistance (DTR) phenotypes were identified in 13% and 7% of P. aeruginosa isolates, respectively. Ceftolozane/tazobactam remained active against 78% of MDR P. aeruginosa (13% and 23% higher than ceftazidime/avibactam and imipenem/relebactam, respectively) and against 74% of DTR P. aeruginosa (24% and 37% higher than ceftazidime/avibactam and imipenem/relebactam, respectively). Length of hospital stay at the time of specimen collection, ward type and infection type resulted in percent susceptible value differences of >5% across isolate demographic strata for some antimicrobial agent/pathogen combinations. We conclude that in the USA, in 2019-21, carbapenem (meropenem) resistance remained uncommon in Enterobacterales and ceftolozane/tazobactam was more active than both ceftazidime/avibactam and imipenem/relebactam against P. aeruginosa.

Development of an automated, high-throughput assay to detect angiotensin AT2-receptor agonistic compounds by nitric oxide measurements in vitro

Angiotensin AT2-receptor (AT2R) agonists have shown a wide range of protective effects in many preclinical disease models. However, the availability of AT2R-agonists is very limited due to the lack of high-throughput assays for AT2R-agonist identification. Therefore, we aimed to design and validate an assay for high-throughput screening of AT2R-agonist candidates. The assay is based on nitric oxide (NO) release measurements in primary human aortic endothelial cells (HAEC), in AT2R-transfected CHO cells (AT2R-CHO) or in non-transfected CHO cells (Flp-CHO) using the fluorescent probe DAF-FM diacetate. It is run in 96-well plates and fluorescence signals are semi-automatically quantified. The assay was tested for sensitivity (recognition of true positive results), selectivity (recognition of true negative results), and reliability (by calculating the repeatability coefficient (RC)). The high-throughput, semi-automated method was proven suitable, as the NO-releasing agents C21, CGP42112A, angiotensin-(1−7) and acetylcholine significantly increased NO release from HAEC. The assay is sensitive and selective, since the established AT2R-agonists C21, CGP42112A and angiotensin II significantly increased NO release from AT2R-CHO cells, while the non-AT2R-agonists angiotensin-(1−7) and acetylcholine had no effect. Assay reliability was shown by high-throughput screening of a library comprised of 40 potential AT2R-agonists, of which 39 met our requirements for reliability (RC ≤ 20% different from RC for C21). Our newly developed high-throughput method for detection of AT2R-agonistic activity was proven to be sensitive, selective, and reliable. This method is suitable for the screening of potential AT2R-agonists in future drug development programs.

Thyroid Hormone and Mitochondrial Dysfunction: Therapeutic Implications for Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly termed nonalcoholic fatty liver disease (NAFLD), is a widespread global health concern that affects around 25% of the global population. Its influence is expanding, and it is anticipated to overtake alcohol as the leading cause of liver failure and liver-related death worldwide. Unfortunately, there are no approved therapies for MASLD; as such, national and international regulatory health agencies undertook strategies and action plans designed to expedite the development of drugs for treatment of MASLD. A sedentary lifestyle and an unhealthy diet intake are important risk factors. Western countries have a greater estimated prevalence of MASLD partly due to lifestyle habits. Mitochondrial dysfunction is strongly linked to the development of MASLD. Further, it has been speculated that mitophagy, a type of mitochondrial quality control, may be impaired in MASLD. Thyroid hormone (TH) coordinates signals from the nuclear and mitochondrial genomes to control mitochondrial biogenesis and function in hepatocytes. Mitochondria are known TH targets, and preclinical and clinical studies suggest that TH, thyroid receptor β (TR-β) analogs, and synthetic analogs specific to the liver could be of therapeutic benefit in treating MASLD. In this review, we highlight how mitochondrial dysfunction contributes to development of MASLD, and how understanding the role of TH in improving mitochondrial function paved the way for innovative drug development programs of TH-based therapies targeting MASLD.

Synthetic lethality of Mycobacterium tuberculosis NADH dehydrogenases is due to impaired NADH oxidation.

In 2022, it was estimated that 10.6 million people fell ill, and 1.6 million people died from tuberculosis (TB). Available treatment is lengthy and requires a multi-drug regimen, which calls for new strategies to cure Mycobacterium tuberculosis (Mtb) infections more efficiently. We have previously shown that simultaneous inactivation of type 1 (Ndh-1) and type 2 (Ndh-2) NADH dehydrogenases kills Mtb. NADH dehydrogenases play two main physiological roles: NADH oxidation and electron entry into the respiratory chain. Here, we show that this bactericidal effect is a consequence of impaired NADH oxidation. Importantly, we demonstrate that Ndh-1/Ndh-2 synthetic lethality can be achieved through simultaneous chemical inhibition, which could be exploited by TB drug development programs.

Is the β3-Adrenoceptor a Valid Target for the Treatment of Obesity and/or Type 2 Diabetes?

β3-Adrenoceptors mediate several functions in rodents that could be beneficial for the treatment of obesity and type 2 diabetes. This includes promotion of insulin release from the pancreas, cellular glucose uptake, lipolysis, and thermogenesis in brown adipose tissue. In combination, they lead to a reduction of body weight in several rodent models including ob/ob mice and Zucker diabetic fatty rats. These findings stimulated drug development programs in various pharmaceutical companies, and at least nine β3-adrenoceptor agonists have been tested in clinical trials. However, all of these projects were discontinued due to the lack of clinically relevant changes in body weight. Following a concise historical account of discoveries leading to such drug development programs we discuss species differences that explain why β3-adrenoceptors are not a meaningful drug target for the treatment of obesity and type 2 diabetes in humans.

Ex-Vivo Testing Platform to Predict Clinical Response and Resistance to Proteosome Inhibitors, IMiDs and Daratumumab in Multiple Myeloma

Treatment of Multiple Myeloma (MM) relies on Standard of Care (SoC) schemes that include immunomodulatory drugs (IMiDs) and proteasome inhibitors (PIs) in combination with dexamethasone (Dexa). More recently, monoclonal antibodies such as Daratumumab (Dara) have become complementary therapeutic strategies to treat newly diagnosed and relapsed MM patients. Despite the multiple therapeutic schemes available, MM remains an incurable disease in which patients transit intermittent cycles of relapse and remission that ultimately lead to multi-drug resistance. It has therefore become clear that novel tools for personalized therapy selection are necessary to improve outcomes and reduce trial and error, particularly when selecting later lines of treatment. At OncoPrecision, we have developed a personalized ex-vivo platform that mimics the tumor microenvironment and promotes the survival of Patient-Derived Cells (PDCs), with the goal to predict the performance of the complete array of FDA-approved drugs, as well as experimental treatments, within 7 days. This technology, which we have named Patient Micro Avatars (PMAs), consists of the co-culture of PDCs with engineered neoplastic (System Control) and stromal (Tox Control) heterologous cells in combination with a multi-tagging approach coupled to high-throughput flow cytometry (Figure: Upper Panel). Our PMAs not only enable us to rank the activity of all approved treatments, but also unveil potential unspecific toxicities of novel treatments on non-tumoral cells, thus unlocking unique insights for early drug development programs. In this work, we introduce our PMA technology for MM by presenting differential response between patients in a Clinical Study performed in collaboration with two healthcare centers which, through approved IRBs, have provided MM patient samples from bone marrow aspiration. We present ex-vivo profiling results with a comprehensive MM drug matrix which includes SoC treatments used in several lines of therapy. We illustrate the potential of PMAs to identify differential activity from individual agents and synergistic drugs combinations in 13 patients (Figure: Lower Panel). By anticipating vulnerability/resistance to SoC treatments, our platform has the potential to become a first-in-class phenotypic biomarker to serve as a decision-support tool for Physicians to select optimal therapeutic regimes, as well as to elucidate valuable pre-clinical patient-derived insights for the development of innovative therapies for MM.

Lead to hit ruthenium-cyclopentadienyl anticancer compounds: Cytotoxicity against breast cancer cells, metabolic stability and metabolite profiling

The successful choice of hit compounds during drug development programs involves the integration of structure-activity relationship (SAR) studies with pharmacokinetic determinations, including metabolic stability assays and metabolite profiling.A panel of nine ruthenium-cyclopentadienyl (RuCp) compounds with the general formula [Ru(η5-C5H4R)(PPh3)(bipyR')]+ (with R = H, CHO, CH2OH; R' = H, CH3, CH2OH, CH2Biotin) has been tested against hormone-dependent MCF-7 and triple negative MDA-MB-231 breast cancer cells. In general, all compounds showed important cytotoxicity against both cancer cell lines and were able to inhibit the formation of MDA-MB-231 colonies in a dose-dependent manner, while showing selectivity for cancer cells over normal fibroblasts. Among them, four compounds stood out as lead structures to be further studied. Cell distribution assays revealed their preference for the accumulation at cell membrane (Ru quantification by ICP-MS) and the mechanism of cell death seemed to be mediated by apoptosis. Potential structural liabilities of lead compounds were subsequently flagged upon in vitro metabolic stability assays and metabolite profiling. The implementation of this integrated strategy led to the selection of RT151 as a promising hit compound.

Inclusion of Subjects who are Obese in Drug Development: Current Status and Opportunities.

The prevalence of obesity has grown tremendously in recent years and this population has an increased risk of disease comorbidities. The presence of disease comorbidities requires treatment interventions and proper dosing guidelines. However, drug development programs often do not have adequate representation of individuals who are obese in clinical trials, leaving gaps in the understanding of treatment response leading to a lack of adequate individualization options. Based on a recent survey of approved drug product package inserts, very few approved products included specific dosing based on obesity, in both adults and pediatrics. Reasons for the limited information on patients who are obese may include the under-reporting of information regarding such patients and a lack of clinical trial diversity in enrolling patient groups in whom obesity or obesity-related comorbidities are more prevalent. An inadvertent impact of the practice of exclusion of subsets of patients with some comorbidities in clinical trials may play a role in the reduced enrollment of individuals who are obese. Recently, regulatory authorities have taken specific initiatives to promote clinical trial diversity, including engaging with stakeholders and publishing regulatory guidance. These guidance documents highlight the need to enroll diverse clinical trial populations and provide recommendations on concepts related to drug development for obese populations. Such efforts will help to address the gap in information regarding drug response and dosing in patients who are obese.

Activities of leaves extracts of &lt;i&gt;Vernonia amygdalina&lt;/i&gt; and &lt;i&gt;Abrus precatorius&lt;/i&gt; against selected antibiotic resistant bacterial pathogens

Ethanol and methanol extracts of Vernonia amygdalina and Abrus precatorius leaves were screened respectively against multi-antibiotic-resistant clinical isolates of Klebsiella pneumoniae, Salmonella enterica var. Typhi, Pseudomonas aeruginosa, Staphylococcus aureus and Streptococcus pneumoniae by agar-well diffusion method using graded concentrations of extract (200 mg/mL, 100 mg/mL, 50 mg/mL, 25 mg/mL, 12.5 mg/mL). Inhibition zone sizes (IZDs) produced by decreasing concentrations of V. amygdalina were recorded as Klebsiella pneumoniae (20 mm, 20 mm, 13 mm, 10 mm and 0 mm); Salmonella enterica var. Typhi (18 mm, 18 mm, 13 mm, 0 mm and 0 mm); Pseudomonas aeruginosa (18 mm, 18 mm, 13 mm, 0 mm and 0 mm); Staphylococcus aureus (15 mm, 15 mm, 10 mm, 0 mm and 0 mm); Streptococcus pneumoniae (17 mm, 17 mm, 15 mm, 0 mm and 0 mm). A. precatorius produced IZDs against Klebsiella pneumoniae (15 mm, 11 mm, 10 mm, 0 mm and 0 mm); S. enterica var. Typhi (16 mm, 13 mm, 9 mm, 0 mm and 0 mm); Pseudomonas aeruginosa (13 mm, 11 mm, 10 mm, 0 mm and 0 mm); Staphylococcus aureus (13 mm, 11 mm, 9 mm, 0 mm and 0 mm); Streptococcus pneumoniae (17 mm, 13 mm, 10 mm, 0 mm and 0 mm). The results suggest that extracts of V. amygdalina and A. precatorius leaves exert broad spectrum antibacterial activity against both Gram-positive and Gram-negative bacteria. These findings support the widespread use of the plants as local remedy for a variety of ailments, and indicate the potential roles of the plants in drug development programs of the pharmaceutical industry.

Big Data Analysis in Computational Biology and Bioinformatics.

Advancements in high-throughput technologies, genomics, transcriptomics, and metabolomics play an important role in obtaining biological information about living organisms. The field of computational biology and bioinformatics has experienced significant growth with the advent of high-throughput sequencing technologies and other high-throughput techniques. The resulting large amounts of data present both opportunities and challenges for data analysis. Big data analysis has become essential for extracting meaningful insights from the massive amount of data. In this chapter, we provide an overview of the current status of big data analysis in computational biology and bioinformatics. We discuss the various aspects of big data analysis, including data acquisition, storage, processing, and analysis. We also highlight some of the challenges and opportunities of big data analysis in this area of research. Despite the challenges, big data analysis presents significant opportunities like development of efficient and fast computing algorithms for advancing our understanding of biological processes, identifying novel biomarkers for breeding research and developments, predicting disease, and identifying potential drug targets for drug development programs.