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Du Y, Semghouli A, Wang Q, Mei H, Kiss L, Baecker D, Soloshonok VA, Han J. FDA-approved drugs featuring macrocycles or medium-sized rings. Arch Pharm (Weinheim) 2025; 358:e2400890. [PMID: 39865335 PMCID: PMC11771699 DOI: 10.1002/ardp.202400890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Revised: 12/20/2024] [Accepted: 12/22/2024] [Indexed: 01/28/2025]
Abstract
Macrocycles or medium-sized rings offer diverse functionality and stereochemical complexity in a well-organized ring structure, allowing them to fulfill various biochemical functions, resulting in high affinity and selectivity for protein targets, while preserving sufficient bioavailability to reach intracellular compartments. These features have made macrocycles attractive candidates in organic synthesis and drug discovery. Since the 20th century, more than three-score macrocyclic drugs, including radiopharmaceuticals, have been approved by the US Food and Drug Administration (FDA) for treating bacterial and viral infections, cancer, obesity, immunosuppression, inflammatory, and neurological disorders, managing cardiovascular diseases, diabetes, and more. This review presents 17 FDA-approved macrocyclic drugs during the past 5 years, highlighting their importance and critical role in modern therapeutics, and the innovative synthetic approaches for the construction of these macrocycles.
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Affiliation(s)
- Youlong Du
- Jiangsu Co‐Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Chemical EngineeringNanjing Forestry UniversityNanjingChina
| | - Anas Semghouli
- Institute of Organic Chemistry, Stereochemistry Research Group, HUN‐REN Research Centre for Natural SciencesBudapestHungary
| | - Qian Wang
- Jiangsu Co‐Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Chemical EngineeringNanjing Forestry UniversityNanjingChina
| | - Haibo Mei
- Jiangsu Co‐Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Chemical EngineeringNanjing Forestry UniversityNanjingChina
| | - Loránd Kiss
- Institute of Organic Chemistry, Stereochemistry Research Group, HUN‐REN Research Centre for Natural SciencesBudapestHungary
| | - Daniel Baecker
- Department of Pharmaceutical and Medicinal Chemistry, Institute of PharmacyFreie Universität BerlinBerlinGermany
| | - Vadim A. Soloshonok
- Department of Organic Chemistry I, Faculty of ChemistryUniversity of the Basque Country UPV/EHUSan SebastiánSpain
- IKERBASQUE, Basque Foundation for ScienceBilbaoSpain
| | - Jianlin Han
- Jiangsu Co‐Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Chemical EngineeringNanjing Forestry UniversityNanjingChina
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Wei S, Zhang Y, Dong H, Chen Y, Wang X, Zhu X, Zhang G, Guo S. Machine learning-based prediction model of acute kidney injury in patients with acute respiratory distress syndrome. BMC Pulm Med 2023; 23:370. [PMID: 37789305 PMCID: PMC10548692 DOI: 10.1186/s12890-023-02663-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 09/16/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) can make cases of acute respiratory distress syndrome (ARDS) more complex, and the combination of the two can significantly worsen the prognosis. Our objective is to utilize machine learning (ML) techniques to construct models that can promptly identify the risk of AKI in ARDS patients. METHOD We obtained data regarding ARDS patients from the Medical Information Mart for Intensive Care III (MIMIC-III) and MIMIC-IV databases. Within the MIMIC-III dataset, we developed 11 ML prediction models. By evaluating various metrics, we visualized the importance of its features using Shapley additive explanations (SHAP). We then created a more concise model using fewer variables, and optimized it using hyperparameter optimization (HPO). The model was validated using the MIMIC-IV dataset. RESULT A total of 928 ARDS patients without AKI were included in the analysis from the MIMIC-III dataset, and among them, 179 (19.3%) developed AKI after admission to the intensive care unit (ICU). In the MIMIC-IV dataset, there were 653 ARDS patients included in the analysis, and among them, 237 (36.3%) developed AKI. A total of 43 features were used to build the model. Among all models, eXtreme gradient boosting (XGBoost) performed the best. We used the top 10 features to build a compact model with an area under the curve (AUC) of 0.850, which improved to an AUC of 0.865 after the HPO. In extra validation set, XGBoost_HPO achieved an AUC of 0.854. The accuracy, sensitivity, specificity, positive prediction value (PPV), negative prediction value (NPV), and F1 score of the XGBoost_HPO model on the test set are 0.865, 0.813, 0.877, 0.578, 0.957 and 0.675, respectively. On extra validation set, they are 0.724, 0.789, 0.688, 0.590, 0.851, and 0.675, respectively. CONCLUSION ML algorithms, especially XGBoost, are reliable for predicting AKI in ARDS patients. The compact model maintains excellent predictive ability, and the web-based calculator improves clinical convenience. This provides valuable guidance in identifying AKI in ARDS, leading to improved patient outcomes.
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Affiliation(s)
- Shuxing Wei
- Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, 100020, China
| | - Yongsheng Zhang
- Department of Health Management, Shandong Engineering Laboratory of Health Management, Institute of Health Management, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
| | - Hongmeng Dong
- Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, 100020, China
| | - Ying Chen
- Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, 100020, China
| | - Xiya Wang
- Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, 100020, China
| | - Xiaomei Zhu
- Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, 100020, China
| | - Guang Zhang
- Department of Health Management, Shandong Engineering Laboratory of Health Management, Institute of Health Management, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China.
| | - Shubin Guo
- Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, 100020, China.
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Zhang JY, Wang YT, Sun L, Wang SQ, Chen ZS. Synthesis and clinical application of new drugs approved by FDA in 2022. MOLECULAR BIOMEDICINE 2023; 4:26. [PMID: 37661221 PMCID: PMC10475455 DOI: 10.1186/s43556-023-00138-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 07/24/2023] [Indexed: 09/05/2023] Open
Abstract
The pharmaceutical industry had a glorious year in 2022, with a total of 37 new drugs including 20 new chemical entities (NCEs) and 17 new biological entities (NBEs) approved by the Food and Drug Administration (FDA). These drugs are mainly concentrated in oncology, central nervous system, antiinfection, hematology, cardiomyopathy, dermatology, digestive system, ophthalmology, MRI enhancer and other therapeutic fields. Of the 37 drugs, 25 (68%) were approved through an expedited review pathway, and 19 (51%) were approved to treat rare diseases. These newly listed drugs have unique structures and new mechanisms of action, which can serve as lead compounds for designing new drugs with similar biological targets and enhancing therapeutic efficacy. This review aims to outline the clinical applications and synthetic methods of 19 NCEs newly approved by the FDA in 2022, but excludes contrast agent (Xenon Xe-129). We believe that an in-depth understanding of the synthetic methods of drug molecules will provide innovative and practical inspiration for the development of new, more effective, and practical synthetic techniques. According to the therapeutic areas of these 2022 FDA-approved drugs, we have classified these 19 NCEs into seven categories and will introduce them in the order of their approval for marketing.
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Affiliation(s)
- Jing-Yi Zhang
- College of Chemistry and Chemical Engineering, Zhengzhou Normal University, Zhengzhou, 450044, China
| | - Ya-Tao Wang
- First People's Hospital of Shangqiu, Henan Province, Shangqiu, 476100, China
- Henan Engineering Research Center of Precision Therapy of Gastrointestinal Cancer, Zhengzhou Key Laboratory for Precision Therapy of Gastrointestinal Cancer, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Lu Sun
- Henan Engineering Research Center of Precision Therapy of Gastrointestinal Cancer, Zhengzhou Key Laboratory for Precision Therapy of Gastrointestinal Cancer, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
- Zhongshan Hospital Affiliated to Dalian University, Dalian, 116001, China.
| | - Sai-Qi Wang
- Henan Engineering Research Center of Precision Therapy of Gastrointestinal Cancer, Zhengzhou Key Laboratory for Precision Therapy of Gastrointestinal Cancer, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
| | - Zhe-Sheng Chen
- College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA.
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Roy P, Minhaz N, Shah-Riar P, Simona SY, Tasha T, Binte Hasan T, Abbasi FK, Alam F, Nila SA, Akter J, Akter S, Biswas S, Sultana N. A Comprehensive Systematic Review of the Latest Management Strategies for Hepatorenal Syndrome: A Complicated Syndrome to Tackle. Cureus 2023; 15:e43073. [PMID: 37680416 PMCID: PMC10481992 DOI: 10.7759/cureus.43073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2023] [Indexed: 09/09/2023] Open
Abstract
Hepatorenal syndrome (HRS), defined by the extreme manifestation of renal impairment in patients with cirrhosis, is characterized by reduced renal blood flow and glomerular filtration rate. It is diagnosed with reduced kidney function confirming the absence of intrinsic kidney disease, such as hematuria or proteinuria. HRS is potentially reversible with liver transplantation or vasoconstrictor drugs. The condition carries a poor prognosis with high mortality rates, particularly in patients with advanced cirrhosis. The latest management for HRS involves a combination of pharmacological and non-pharmacological interventions, aiming to improve renal function and reduce the risk of mortality. Pharmacological treatments include vasoconstrictors, such as terlipressin and midodrine, and albumin infusion, which have been shown to improve renal function and reduce mortality in HRS patients. Non-pharmacological interventions, including invasive procedures such as transjugular intrahepatic portosystemic shunt (TIPS), plasma exchange, liver transplantation, and renal replacement therapy, may also be considered. Though TIPS has been shown to be effective in improving renal function in HRS patients, liver transplantation remains at the top of the consideration for the treatment of end-stage liver disease and HRS. Recent studies have placed importance on early recognition and prompt intervention in HRS patients, as delaying treatment can result in poorer outcomes. Although there are numerous reviews that summarize various aspects of HRS, the recent advancements in the management and pathophysiology of HRS are still insufficient. Therefore, in this review, we summarized a brief pathophysiology and highlighted recent advancements in the management of HRS with a quick review of the latest articles.
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Affiliation(s)
- Pooja Roy
- Internal Medicine, Harlem Hospital Center, New York, USA
| | - Naofel Minhaz
- Internal Medicine, Dhaka Medical College, Dhaka, BGD
| | | | | | - Tasniem Tasha
- Internal Medicine, Rajshahi Medical College, Rajshahi, BGD
| | | | | | - Farhana Alam
- Internal Medicine, Chittagong Medical College, Chittagong, BGD
| | - Shamima A Nila
- Internal Medicine, Cumilla Medical College and Hospital, Cumilla, BGD
| | - Janifa Akter
- Internal Medicine, Gonoshasthaya Samaj Vittik Medical College, Dhaka, BGD
- Internal Medicine, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, BGD
| | - Sharmin Akter
- Internal Medicine, Shaheed Ziaur Rahman Medical College, Bogura, BGD
| | - Shammo Biswas
- Internal Medicine, Sir Salimullah Medical College Mitford Hospital, Dhaka, BGD
| | - Nigar Sultana
- Internal Medicine, Sir Salimullah Medical College Mitford Hospital, Dhaka, BGD
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Habas E, Farfar KL, Errayes N, Habas AM, Errayes M, Alfitori G, Rayani A, Elgara M, Al Adab AH, Elzouki A. Hepatitis Virus C-associated Nephropathy: A Review and Update. Cureus 2022; 14:e27322. [PMID: 36043014 PMCID: PMC9412079 DOI: 10.7759/cureus.27322] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2022] [Indexed: 11/17/2022] Open
Abstract
Hepatitis C virus (HCV) infection causes hepatic and extrahepatic organ involvement. Chronic kidney disease (CKD) is a prevalent non-communicable disorder, accounting for significant morbidity and mortality worldwide. Acute kidney injury and CKD are not uncommon sequels of acute or chronic HCV infection. The pathogenesis of HCV-associated kidney injuries is not well explored. Excess cryoglobulin production occurs in HCV infection. The cryoglobulin may initiate immune complex-mediated vasculitis, inducing vascular thrombosis and inflammation due to cryoglobulin deposits. Furthermore, direct damage to nephron parts also occurs in HCV patients. Other contributory causes such as hypertension, diabetes, and genetic polymorphism enhance the risk of kidney damage in HCV-infected individuals. Implementing CKD prevention, regular evaluation, and therapy may improve the HCV burden of kidney damage and its related outcomes. Therefore, in this review, we discuss and update the possible mechanism(s) of kidney injury pathogenesis with HCV infection. We searched for related published articles in EMBASE, Google Scholar, Google, PubMed, and Scopus. We used various texts and phrases, including hepatitis virus and kidney, HCV and CKD, kidney pathology in viral hepatitis, kidney transplantation in HCV-infected patients, kidney allograft survival in viral hepatitis patients, mechanism of kidney pathology in viral hepatitis, dialysis and viral hepatitis, HCV infection and kidney injuries, and viral hepatitis and CKD progression, etc. to identify relevant articles.
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