Current medicinal chemistry最新文献

{"title":"Development of Potential Pharmacological Targets to Normalize Gene Expression in Islets of Type 2 Diabetic Patients.","authors":"Viridiana Basaldúa-Maciel, Fernando Martínez-Esquivias, Juan Manuel Guzman-Flores","doi":"10.2174/0109298673352470250312082922","DOIUrl":"https://doi.org/10.2174/0109298673352470250312082922","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes (T2D) is a disease of high prevalence that is expected to continue increasing despite the pharmacological treatments available; in most cases, it is difficult to control. Therefore, more research on experimental drugs is necessary to propose better treatments.</p><p><strong>Objective: </strong>This study aimed to identify the molecular alterations of pancreatic islets in type 2 diabetes through multi-omics data integration and possible pharmacological targets using bioinformatics methods.</p><p><strong>Method: </strong>In this study, the OmicsNet tool was used to integrate the multi-omics data associated with T2D, and the protein-protein interaction was visualized. Then, gene ontology and KEGG pathways analyses were carried out. Using the DrugRep server, the hub genes obtained underwent a virtual screening with experimental drugs, and twelve experimental drugs were selected to execute the molecular docking by CB-Dock2. Finally, the interactions were displayed in BIOVIA software.</p><p><strong>Result: </strong>Our results showed that the main molecular alterations of pancreatic islets in T2D were enzyme binding, mitochondrial metabolism, transcription factors, etc. They were involved in glucose uptake, receptor insulin signaling, and secretion. The molecular docking showed that SRC, AKT1, CREBBP, and HSP90AA1 were therapeutic targets for DB02729, DB04877, DB07970, DB07789, and DB03373.</p><p><strong>Conclusion: </strong>We identified some alterations in the pancreas of patients with T2D, ten hub genes, and five experimental drugs that could potentially correct gene expression abnormalities. However, further studies are required to validate these results.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the Multifaceted Roles of ZNF280A: Insights into Prognosis, Immunity, and Function Across Pan-Cancer.","authors":"Xiong Qin, Boyuan Qiu, Kai Xiong, Chuangming Huang, Xi Xie, Dejie Lu, Bo Zhu","doi":"10.2174/0109298673359029250316111019","DOIUrl":"https://doi.org/10.2174/0109298673359029250316111019","url":null,"abstract":"<p><strong>Introduction: </strong>ZNF280A, a pivotal member of the zinc finger protein family, is significantly involved in vital cellular functions including cell proliferation, programmed cell death, cellular invasion, metastasis, and resistance to therapeutic drugs across various malignancies. However, its comprehensive role in pan-cancer has not been thoroughly investigated.</p><p><strong>Method: </strong>This research aims to elucidate the oncogenic and immunological functions of ZNF280A across different types of cancer. We conducted an extensive analysis of ZNF280A expression levels, prognostic significance, functional pathways, methylation status, and interactions with immune cells, while also examining immune infiltration patterns and responses to immunotherapy using diverse databases.</p><p><strong>Results: </strong>Our findings reveal that ZNF280A expression is significantly upregulated in numerous cancers, correlating with adverse patient prognosis. This association appears to be linked to its involvement in key cancer-related pathways, including the Ras signaling pathway, and its correlation with ZNF280A methylation levels, microsatellite instability (MSI), tumor mutational burden (TMB), and the dynamics of immune cells. Notably, ZNF280A seems to undermine anti-tumor immunity and the effectiveness of immunotherapeutic approaches by promoting the infiltration of immune cells and compromising the functionality of cytotoxic T lymphocytes.</p><p><strong>Conclusion: </strong>These findings suggest that ZNF280A holds promise as a valuable indicator for forecasting patient outcomes and assessing the effectiveness of immunotherapy, thereby opening avenues for further exploration into targeted therapeutic approaches.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COL4A1 Promotes Gastric Cancer Progression by Regulating Tumor Invasion, Tumor Microenvironment and Drug Sensitivity.","authors":"Xiaojun Qian, Wei Jia, Yuntian Li, Jian Chen, Jinguo Zhang, Yubei Sun","doi":"10.2174/0109298673351943250314074632","DOIUrl":"https://doi.org/10.2174/0109298673351943250314074632","url":null,"abstract":"<p><strong>Background: </strong>Collagen type IV alpha 1 chain (COL4A1), which has been proven to be a potential biomarker in Gastric Cancer (GC), but its role in tumors and the tumor microenvironment (TME) needs further explanation.</p><p><strong>Methods: </strong>We analysed the relationship between COL4A1 and clinical characteristics based on The Cancer Genome Atlas (TCGA) database and verified by tissue microarrays as well as GC cell lines using immunohistochemistry, Q-PCR, western blot, cell proliferation assays, colony formation assays, cell invasion and migration assays. The immune infiltration and drug sensitivity information between high and low COL4A1 expression were analysed by R package and pRRophetic package. Finally, we established a nomogram based on COL4A1 expression using the bootstrap method.</p><p><strong>Results: </strong>COL4A1 was overexpressed in gastric carcinoma compared with normal gastric tissue, indicating a poor prognosis of GC patients in the TCGA database which were also validated by GC tissue microarrays. GO, KEGG and hallmark enrichment analyses indicated that COL4A1 was mainly associated with the extracellular matrix than malignant proliferation. By siRNA transfection, we found that COL4A1 knockdown inhibited cell colony formation, invasion and migration but did not affect cell proliferation, similar to previous results. Immune infiltration and drug sensitivity analysis showed that COL4A1 was negatively correlated with antitumor immunity and positively correlated with multidrug resistance. By developing a nomogram model based on 8 risk factors, including COL4A1, patients with better clinical outcomes could be accurately distinguished.</p><p><strong>Conclusion: </strong>This study established COL4A1 as a prognostic marker and a potential therapeutic target in gastric cancer. Our findings demonstrate that COL4A1 enhances tumor progression and multidrug resistance while inhibiting antitumor immunity. These results underscore the significance of COL4A1 in gastric cancer and suggest its potential for developing targeted therapies.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immunogenic Cell Death-relevant Molecular Patterns, Prognostic Genes, and Implications for Immunotherapy in Ovarian Cancer.","authors":"Pijun Gong, Jia Li, Yinbin Zhang, Shuqun Zhang","doi":"10.2174/0109298673354860250220065131","DOIUrl":"https://doi.org/10.2174/0109298673354860250220065131","url":null,"abstract":"<p><strong>Background: </strong>Ovarian cancer (OV) is one of the deadliest gynecologic cancers, and approximately 75% of serous ovarian cancer [SOC] patients are diagnosed at advanced stages due to the lack of effective biomarkers.</p><p><strong>Objective: </strong>Immunogenic cell death (ICD) has been investigated in many comprehensive studies, and the role of ICD in ovarian cancer and its impact on immunotherapy is not yet known.</p><p><strong>Method: </strong>The NMF clustering analysis was employed to categorize OV samples into different subgroups. Survival, mutation, and CNV analyses were performed in these clusters. ESTIMATE, CIBERSORT, TIDE, and drug sensitivity analyses [based on GDSC] were also performed on the subtypes. Then, differentially expressed immunogenic cell death genes (DE-ICDGs) in OV were obtained by crossing the DEGs between cluster 3 vs cluster 1, DEGs from the TCGA-GTEx dataset, and DEGs from the GSE40595 dataset. Functional enrichment analysis of DE-ICDGs was then performed. The signature genes related to the prognosis of OV in three OV datasets were excavated by drawing Kaplan-Meier curves. Finally, quantitative real-time PCR [qRT-PCR] was performed to verify the expression trends of the signature genes.</p><p><strong>Results: </strong>The NMF clustering analysis categorized OV samples into three distinct groups according to the expression levels of ICDGs, with differential analysis indicating that Cluster 3 represented the subgroup with high ICD expression. Mutation and CNV analysis did not differ significantly between clusters, but Amp and Del's numbers did. Immuno- infiltration analysis revealed that cluster 3 showed significant differences from cluster 1 and cluster 2. Immunotherapy and drug sensitivity analysis showed differences in immunotherapy and chemotherapy sensitivity between the clusters. The DEGs in cluster3 vs. cluster1, TCGA-GTEx dataset and GSE40595 dataset were intersected to obtain a total of 71 DE-ICDGs, and functional enrichment result suggested that the DE-ICDGs were significantly correlated with inflammatory response, complement system and positive regulation of cytokine production. 2 DE-ICDGs (FN1 and LUM) were identified that were associated with OV prognosis and were validated significantly down-regulated in the SOC group with PCR.</p><p><strong>Conclusion: </strong>We identified ICD-associated subtypes of OV and mined 2 OV prognostic genes (FN1 and LUM) associated with ICD, which may have important implications for OV prognosis and therapy.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding Colorectal Cancer: Key Genes and Pathways in the Chinese Population Revealed.","authors":"Dongbing Li, Guizhen Lyu","doi":"10.2174/0109298673360490250225230115","DOIUrl":"https://doi.org/10.2174/0109298673360490250225230115","url":null,"abstract":"<p><strong>Background: </strong>As the leading cause of cancer-related deaths globally, colorectal cancer (CRC) ranks third in prevalence. Gene Expression Omnibus (GEO) offers clinicians and bioinformaticians an accessible platform for genomic research across various cancer types, with a particular emphasis on CRC.</p><p><strong>Objective: </strong>We aim to uncover key genes and pathways in the Chinese CRC population.</p><p><strong>Methods: </strong>We identified differentially expressed genes (DEGs) in CRC utilizing four microarray datasets sourced from the GEO database, all specifically from the Chinese population. Functional enrichment analysis was conducted to uncover the molecular mechanisms at play in CRC. The PPI network and CytoHubba tools were employed to identify key genes linked to CRC, with further validation through databases such as Gene Expression Profiling Interactive Analysis (GEPIA), ONCOMINE, and the Human Protein Atlas (HPA).</p><p><strong>Results: </strong>Our analysis identified 188 DEGs with overlapping significance, comprising 97 upregulated and 91 downregulated genes. Gene Ontology (GO) analysis indicated that upregulated DEGs were predominantly involved in the extracellular space. In contrast, the downregulated ones were linked to bicarbonate transport and extracellular exosomes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis highlighted the involvement of upregulated DEGs in cytokine-cytokine receptor interactions and the TNF signaling pathway. In contrast, the downregulated genes were associated with nitrogen metabolism and bicarbonate reclamation in the proximal tubule. Notably, the transcriptional levels of CCL20, CDC20, CXCL1, CXCL2, CXCL5, NEK2, and PPBP were elevated in CRC tissues compared to normal tissues. In addition, CXCL12 showed a decreased expression. Additionally, the translational levels of CDC20 and PPBP were found to be higher in CRC tissues.</p><p><strong>Conclusions: </strong>Eight genes (CCL20, CDC20, CXCL1, CXCL12, CXCL2, CXCL5, NEK2, and PPBP) were identified as potential diagnostic indicators for CRC. The identified pathways, such as cytokine-cytokine receptor interactions and TNF signaling, along with nitrogen metabolism and bicarbonate reclamation in the proximal tubule, are hypothesized to have a role in the genesis and progression of CRC. This study provides unique insights into the etiology and progression of CRC within the Chinese population.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-based Gene Biomarker Identification for Improving Prognosis and Therapy in Hepatocellular Carcinoma.","authors":"Lingyan Deng, Lei Dou, Xinyu Huang, Peng Wang, Na Shen","doi":"10.2174/0109298673359092250304031435","DOIUrl":"https://doi.org/10.2174/0109298673359092250304031435","url":null,"abstract":"<p><strong>Purpose: </strong>Traditional clinical evaluations based on pathological classification have shown limited effectiveness in predicting prognosis and guiding treatment for patients with hepatocellular carcinoma (HCC). This study aims to identify a robust molecular biomarker for improving prognosis and therapy in HCC.</p><p><strong>Methods: </strong>The International Cancer Genome Consortium (ICGC), Gene Expression Omnibus (GEO), and The Cancer Genome Atlas (TCGA) provided expression data and clinicopathological information for several cohorts. . First, Cox regression analysis and differentially expressed analysis were performed to identify robust prognostic genes. Next, machine learning algorithms, including 101 statistical models, were employed to pinpoint key genes in HCC. Single-cell sequencing analysis was conducted to explore the potential subcellular functions of each key gene. Based on these findings, an HCC Prognosis- Related Index (HPRI) was developed from the identified key genes, and HPRIbased nomogram models were validated across multiple cohorts. Additionally, tumor microenvironment analysis and drug sensitivity analysis were performed further to assess the clinical significance of the HPRI in HCC.</p><p><strong>Results: </strong>A total of 36 robust prognostic genes with differential expression in HCC were identified, from which seven key genes-DCAF13, EEF1E1, GMPS, OLA1, PLOD2, PABPC1, and PPARGC1A-were filtered using machine learning algorithms. Except for PPARGC1A, all these genes were highly expressed in malignant cells, followed by fibroblasts. Notably, we developed the HPRI based on the key genes and validated its clinical relevance. Results demonstrated that the HPRI and HPRI-derived nomogram models had good predictive performance across multiple cohorts. Following tumor microenvironment analysis revealed that a high HPRI was linked to a higher likelihood of immune evasion. Drug sensitivity analysis suggested that patients with a high HPRI might benefit from chemotherapeutic agents like sorafenib, as well as novel compounds such as ML323 and MK-1775.</p><p><strong>Conclusion: </strong>Our study demonstrates a well-rounded approach by integrating gene expression, machine learning, tumor microenvironment analysis, and drug sensitivity profiling. HPRI may serve as a promising predictor for guiding prognosis and personalized treatment in HCC.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Silico ADMET Studies, Molecular Docking and Molecular Dynamics Simulation of Thiadiazole Derivatives for the Identification of Putative HsaA Monooxygenase Inhibitors.","authors":"Min Zheng, Ankush Kumar, Vishakha, Tapan Behl, Ravi Rawat, Pranay Wal, Ketki Rani, Mohit Agarwal, Raghwendra R Waghmode, Monica Gulati, Azmat Ali Khan, Amer M Alanazi, Seema Ramniwas, Bairong Shen, Rajeev Kumar Singla","doi":"10.2174/0109298673346116250227101530","DOIUrl":"https://doi.org/10.2174/0109298673346116250227101530","url":null,"abstract":"<p><strong>Introduction: </strong>The rise of drug-resistant strains of Mycobacterium tuberculosis (Mtb) represents a substantial public health challenge. Current TB treatments involve the combination of several antibiotics and other agents. However, the development of drug resistance, reduced bioavailability, and elevated toxicity have rendered most of the drugs less effective.</p><p><strong>Method: </strong>To resolve this problem, the identification of novel anti-tuberculosis agents with novel mechanisms of action is the need of the hour. HsaA monooxygenase is an enzyme involved in cholesterol metabolism, particularly in certain strains of Mycobacterium bacteria. This research focuses on discovering new inhibitors for HsaA from a pool of 40 compounds using computational techniques like molecular docking and Molecular Dynamics (MD) simulations along with comparing it with GSK2556286.</p><p><strong>Results: </strong>Docking studies revealed that AK05 and AK13 showed good binding affinity as compared to GSK2556286. The docking scores of AK05, AK13, and GSK2556286 are -9.4, -9.0, and -8.9 kcal/mol, respectively. ADMET studies showed that these thiadiazole derivatives can be investigated as lead molecules for the development of novel antituberculosis drugs. MD simulation studies showed that both of the compounds AK05 and AK13 were stable at the binding site with RMSD below 0.25 nm.</p><p><strong>Conclusion: </strong>All these findings demonstrated that AK05 and AK13 could be used as potent compounds for the development of HsaA monooxygenase inhibitors.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Commentary on the Role of Medicinal Cannabis in Healthy Aging and Neuroprotection.","authors":"Sabrina Rosicler Salas, Florencia Musso, Ana Clara Pascual","doi":"10.2174/0109298673375813250305042531","DOIUrl":"https://doi.org/10.2174/0109298673375813250305042531","url":null,"abstract":"","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medicinal Chemistry behind Capivasertib Discovery: Seventh Magic Bullet of the Fragment-based Drug Design Approved for Oncology.","authors":"Leandro Marcos Santos, Leonardo Pereira de Araújo, Lorena Falleiros, Caio Pacífico Mariano, Walter Filgueira de Azevedo Junior, Nelson José Freitas da Silveira","doi":"10.2174/0109298673331253241004110953","DOIUrl":"https://doi.org/10.2174/0109298673331253241004110953","url":null,"abstract":"<p><p>A new pharmacotherapy prescribed by medical oncology professionals for breast cancer patients emerged at the end of last year. Capivasertib is the first approved inhibitor targeting protein kinase B (Akt), and has been manufactured as the active ingredient in the oral medicine TruqapTM. This compound has joined the prestigious list of successful pharmacological agents that were discovered by exploiting a fruitful medicinal chemistry paradigm named fragment-based drug design. In this article, we provide a brief theoretical basis for this strategy and present a speculative overview of the experimental and computational workflows involved in the discovery of this small-molecule antitumor drug, highlighting some of the details of its rational design, which were crucial to the success of the campaign, and culminated in the recent approval of the seventh magic bullet derived from molecular fragments.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microalbuminuria as a Prognostic Marker in Essential Hypertension.","authors":"Kyriakos Dimitriadis, Nikolaos Pyrpyris, Aggeliki Vakka, Panagiotis Iliakis, Panagiotis Theofilis, Fotis Tatakis, Eirini Beneki, Daphne Pitsiori, Panagiotis Tsioufis, Konstantinos Aznaouridis, Dimitrios Tousoulis, Konstantinos Tsioufis","doi":"10.2174/0109298673348953250310044927","DOIUrl":"https://doi.org/10.2174/0109298673348953250310044927","url":null,"abstract":"<p><p>Essential hypertension is a major cardiovascular pathology globally, with an estimated prevalence of approximately 33%, and it is a significant contributor to both mortality and adverse cardiovascular events. Finding early prognostic markers in such individuals could, thus, provide enhanced risk stratification and identification of patients with higher odds of target-organ damage or adverse events. Microalbuminuria is defined as an abnormal excretion of albumin in urine, is well associated with vascular disease, endothelial dysfunction, and low-grade inflammation, and is a marker of subclinical renal damage. Through the years, microalbuminuria at baseline has been well correlated with increasing blood pressure levels and blood pressure patterns, i.e., non-dipping phenotype. At the same time, its presence in hypertensive individuals indicated increased rates of mortality, renal disease progression, and major adverse cardiovascular outcomes, including stroke and myocardial infarction. Thus, microalbuminuria can provide a prognostic marker of future adverse events in hypertensive individuals. Interestingly, standard antihypertensive pharmacotherapy and newer drugs have shown regression of microalbuminuria extent and renoprotection in both diabetic as well as hypertensive individuals, implying that early therapy could decrease the rate of disease progression and limit target-organ damage. Thus, the aim of this review is to analyze the available studies documenting the predictive role of microalbuminuria for both mortality, target- organ damage, and adverse events, as well as describe the impact of pharmacotherapy in the presence and extent of subclinical renal damage, as shown by the levels of this marker.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}