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Shi H, Li X, Wang S, Dong X, Qiao M, Wu S, Wu R, Yuan X, Wang J, Xu Y, Zhu Z. Molecular transmission network analysis of newly diagnosed HIV-1 infections in Nanjing from 2019 to 2021. BMC Infect Dis 2024; 24:583. [PMID: 38867161 PMCID: PMC11170874 DOI: 10.1186/s12879-024-09337-6] [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: 11/23/2023] [Accepted: 04/21/2024] [Indexed: 06/14/2024] Open
Abstract
OBJECTIVE The objective of this study was to conduct a comprehensive analysis of the molecular transmission networks and transmitted drug resistance (TDR) patterns among individuals newly diagnosed with HIV-1 in Nanjing. METHODS Plasma samples were collected from newly diagnosed HIV patients in Nanjing between 2019 and 2021. The HIV pol gene was amplified, and the resulting sequences were utilized for determining TDR, identifying viral subtypes, and constructing molecular transmission network. Logistic regression analyses were employed to investigate the epidemiological characteristics associated with molecular transmission clusters. RESULTS A total of 1161 HIV pol sequences were successfully extracted from newly diagnosed individuals, each accompanied by reliable epidemiologic information. The analysis revealed the presence of multiple HIV-1 subtypes, with CRF 07_BC (40.57%) and CRF01_AE (38.42%) being the most prevalent. Additionally, six other subtypes and unique recombinant forms (URFs) were identified. The prevalence of TDR among the newly diagnosed cases was 7.84% during the study period. Employing a genetic distance threshold of 1.50%, the construction of the molecular transmission network resulted in the identification of 137 clusters, encompassing 613 nodes, which accounted for approximately 52.80% of the cases. Multivariate analysis indicated that individuals within these clusters were more likely to be aged ≥ 60, unemployed, baseline CD4 cell count ≥ 200 cells/mm3, and infected with the CRF119_0107 (P < 0.05). Furthermore, the analysis of larger clusters revealed that individuals aged ≥ 60, peasants, those without TDR, and individuals infected with the CRF119_0107 were more likely to be part of these clusters. CONCLUSIONS This study revealed the high risk of local HIV transmission and high TDR prevalence in Nanjing, especially the rapid spread of CRF119_0107. It is crucial to implement targeted interventions for the molecular transmission clusters identified in this study to effectively control the HIV epidemic.
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Affiliation(s)
- Hongjie Shi
- Department of AIDS/STD Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Xin Li
- Department of AIDS/STD Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Sainan Wang
- Department of Laboratory Medicine, Jiangning Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xiaoxiao Dong
- Department of Microbiology Laboratory, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Mengkai Qiao
- Department of Microbiology Laboratory, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Sushu Wu
- Department of AIDS/STD Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Rong Wu
- Department of AIDS/STD Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Xin Yuan
- Department of AIDS/STD Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Jingwen Wang
- Department of AIDS/STD Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Yuanyuan Xu
- Department of AIDS/STD Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China.
| | - Zhengping Zhu
- Department of AIDS/STD Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China.
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Tabler CO, Wegman SJ, Alhusaini N, Lee NF, Tilton JC. Premature Activation of the HIV-1 Protease Is Influenced by Polymorphisms in the Hinge Region. Viruses 2024; 16:849. [PMID: 38932142 PMCID: PMC11209583 DOI: 10.3390/v16060849] [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: 04/30/2024] [Revised: 05/21/2024] [Accepted: 05/24/2024] [Indexed: 06/28/2024] Open
Abstract
HIV-1 protease inhibitors are an essential component of antiretroviral therapy. However, drug resistance is a pervasive issue motivating a persistent search for novel therapies. Recent reports found that when protease activates within the host cell's cytosol, it facilitates the pyroptotic killing of infected cells. This has led to speculation that promoting protease activation, rather than inhibiting it, could help to eradicate infected cells and potentially cure HIV-1 infection. Here, we used a nanoscale flow cytometry-based assay to characterize protease resistance mutations and polymorphisms. We quantified protease activity, viral concentration, and premature protease activation and confirmed previous findings that major resistance mutations generally destabilize the protease structure. Intriguingly, we found evidence that common polymorphisms in the hinge domain of protease can influence its susceptibility to premature activation. This suggests that viral heterogeneity could pose a considerable challenge for therapeutic strategies aimed at inducing premature protease activation in the future.
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Affiliation(s)
| | | | | | | | - John C. Tilton
- Center for Proteomics and Bioinformatics, Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA; (C.O.T.); (N.A.)
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Ma J, Chen Z, Fu C, Wei S, Liu J, Yang X, Chen X, Zhao Q, Sun Y, Huo Y. Consistency of drug-resistant mutations in plasma and peripheral blood mononuclear cells of patients with treatment-naïve and treatment-experienced HIV-1 infection. Front Cell Infect Microbiol 2023; 13:1249837. [PMID: 38179423 PMCID: PMC10766352 DOI: 10.3389/fcimb.2023.1249837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 12/05/2023] [Indexed: 01/06/2024] Open
Abstract
Introduction Genotypic drug resistance testing is cursrently recommended by the World Health Organization for all patients infected with human immunodeficiency virus type 1 (HIV-1) undergoing care or switching regimes due to failure with previous antiretroviral therapy (ART). Patients with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) who meet the criteria for free testing for genotypic drug resistance due to poor adherence in Henan Province may resume their previous regimens before resampling. Therefore, resistance testing based on plasma RNA can fail in a proportion of patients. Resistance testing based on peripheral blood mononuclear cells (PBMCs) is an alternative option. In this study, we investigated the differences in drug-resistant mutations (DRMs) between plasma HIV RNA and proviral DNA in treatment-experienced and treatment-naïve patients. Methods Matched plasma RNA and proviral DNA samples of 66 HIV-1 infected treatment-naïve and 78 treatment-experienced patients were selected for DRM analysis and comparison. Results DRMs were detected in 27.3% (18/66) of treatment-naïve and 80.8% (63/78) of treatment-experienced samples. Resistance to at least one drug was detected based on analysis of plasma RNA and proviral DNA in 7.6% (5/66) and 9.1% (6/66) of treatment-naïve patients and in 79.5% (62/78) and 78.2% (61/78) of treatment-experienced patients, respectively. Furthermore, 61/66 (92.4%) of treatment-naïve patients showed concordant RNA and DNA drug resistance. When drug resistance was defined as intermediate and high, the concordance of drug resistance profiles of paired RNA and proviral DNA samples derived from treatment-naïve patients were up to 97.0% compared with only 80.8% (63/78) in treatment-experienced patients. Discussion Our data indicate that drug resistance testing based on plasma RNA or proviral DNA might be interchangeable in treatment-naïve patients, whereas plasma RNA-based testing remains the best choice for drug resistance analysis in patients with ART failure in clinical practice.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Yan Sun
- Center for Translational Medicine, The Sixth People’s Hospital of Zhengzhou, Zhengzhou, China
| | - Yuqi Huo
- Center for Translational Medicine, The Sixth People’s Hospital of Zhengzhou, Zhengzhou, China
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Viñuela L, de Salazar A, Fuentes A, Serrano-Conde E, Falces-Romero I, Pinto A, Portilla I, Masiá M, Peraire J, Gómez-Sirvent JL, Sanchiz M, Iborra A, Baza B, Aguilera A, Olalla J, Espinosa N, Iribarren JA, Martínez-Velasco M, Imaz A, Montero M, Rivero M, Suarez-García I, Maciá MD, Galán JC, Perez-Elias MJ, García-Fraile LJ, Moreno C, Garcia F. Transmitted drug resistance to antiretroviral drugs in Spain during the period 2019-2021. J Med Virol 2023; 95:e29287. [PMID: 38084763 DOI: 10.1002/jmv.29287] [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: 08/05/2023] [Revised: 10/17/2023] [Accepted: 11/18/2023] [Indexed: 12/18/2023]
Abstract
To evaluate the prevalence of transmitted drug resistance (TDR) to nucleoside and nonnucleoside reverse transcriptase inhibitors (NRTI, NNRTI), protease inhibitors (PI), and integrase strand transfer inhibitors (INSTI) in Spain during the period 2019-2021, as well as to evaluate transmitted clinically relevant resistance (TCRR) to antiretroviral drugs. Reverse transcriptase (RT), protease (Pro), and Integrase (IN) sequences from 1824 PLWH (people living with HIV) were studied. To evaluate TDR we investigated the prevalence of surveillance drug resistance mutations (SDRM). To evaluate TCRR (any resistance level ≥ 3), and for HIV subtyping we used the Stanford v.9.4.1 HIVDB Algorithm and an in-depth phylogenetic analysis. The prevalence of NRTI SDRMs was 3.8% (95% CI, 2.8%-4.6%), 6.1% (95% CI, 5.0%-7.3%) for NNRTI, 0.9% (95% CI, 0.5%-1.4%) for PI, and 0.2% (95% CI, 0.0%-0.9%) for INSTI. The prevalence of TCRR to NRTI was 2.1% (95% CI, 1.5%-2.9%), 11.8% for NNRTI, (95% CI, 10.3%-13.5%), 0.2% (95% CI, 0.1%-0.6%) for PI, and 2.5% (95% CI, 1.5%-4.1%) for INSTI. Most of the patients were infected by subtype B (79.8%), while the majority of non-Bs were CRF02_AG (n = 109, 6%). The prevalence of INSTI and PI resistance in Spain during the period 2019-2021 is low, while NRTI resistance is moderate, and NNRTI resistance is the highest. Our results support the use of integrase inhibitors as first-line treatment in Spain. Our findings highlight the importance of ongoing surveillance of TDR to antiretroviral drugs in PLWH particularly with regard to first-line antiretroviral therapy.
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Affiliation(s)
- Laura Viñuela
- Clinical Microbiology Unit, Hospital Universitario Clínico San Cecilio, Granada, Spain
- Instituto de Investigación Ibs, Granada, Spain
- Ciber de Enfermedades Infecciosas, CIBERINFEC, ISCIII, Madrid, Spain
| | - Adolfo de Salazar
- Clinical Microbiology Unit, Hospital Universitario Clínico San Cecilio, Granada, Spain
- Instituto de Investigación Ibs, Granada, Spain
- Ciber de Enfermedades Infecciosas, CIBERINFEC, ISCIII, Madrid, Spain
| | - Ana Fuentes
- Clinical Microbiology Unit, Hospital Universitario Clínico San Cecilio, Granada, Spain
- Instituto de Investigación Ibs, Granada, Spain
- Ciber de Enfermedades Infecciosas, CIBERINFEC, ISCIII, Madrid, Spain
| | - Esther Serrano-Conde
- Clinical Microbiology Unit, Hospital Universitario Clínico San Cecilio, Granada, Spain
| | | | - Adriana Pinto
- Infectious Diseases Unit, Hospital 12 de Octubre, Madrid, Spain
| | - Irene Portilla
- Infectious Diseases Unit, Hospital General Universitario de Alicante, Alicante, Spain
| | - Mar Masiá
- Ciber de Enfermedades Infecciosas, CIBERINFEC, ISCIII, Madrid, Spain
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche, Spain
| | - Joaquim Peraire
- Ciber de Enfermedades Infecciosas, CIBERINFEC, ISCIII, Madrid, Spain
- Infectious Diseases Unit, Hospital Universitari de Tarragona Joan XXIII, IISPV, Universitat Rovira i Virgili, Tarragona, Spain
| | - Juan Luis Gómez-Sirvent
- Infectious Diseases Unit, Hospital Universitario de Canarias, Las Palmas de Gran Canaria, Spain
| | - Marta Sanchiz
- Infectious Diseases Unit, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Asunción Iborra
- Clinical Microbiology Unit, Hospital Virgen de la Arrixaca, Murcia, Spain
| | - Begoña Baza
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, Madrid, Spain
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain
- Instituto de Medicina de Laboratorio (IML), Madrid, Spain
| | - Antonio Aguilera
- Clinical Microbiology Unit, Complejo Hospitalario Universitario de Santiago, Santiago, Spain
| | - Julián Olalla
- Infectious Diseases Unit, Hospital Costa del Sol, Marbella, Spain
| | - Nuria Espinosa
- Infectious Diseases Unit, Hospital Virgen del Rocío, Seville, Spain
| | | | | | - Arkaitz Imaz
- Infectious Diseases Unit, Hospital Universitario de Bellvitge, Barcelona, Spain
| | - Marta Montero
- Infectious Diseases Unit, Hospital Universitario La Fe, Valencia, Spain
| | - María Rivero
- Infectious Diseases Unit, Hospital de Navarra, Pamplona, Spain
| | | | | | - Juan Carlos Galán
- Infectious Diseases Unit, Hospital Ramón y Cajal, Madrid, Spain
- Ciber de Epidemiologia y Salud Publica, CIBERESP, Madrid, Spain
- Insituto Ramón y Cajal de Investigación Sanitaria (IRYSCIS), Madrid, Spain
| | - Maria Jesus Perez-Elias
- Ciber de Enfermedades Infecciosas, CIBERINFEC, ISCIII, Madrid, Spain
- Infectious Diseases Unit, Hospital Ramón y Cajal, Madrid, Spain
| | | | - Cristina Moreno
- Ciber de Enfermedades Infecciosas, CIBERINFEC, ISCIII, Madrid, Spain
- Instituto de Salud Carlos III, Madrid, Spain
| | - Federico Garcia
- Clinical Microbiology Unit, Hospital Universitario Clínico San Cecilio, Granada, Spain
- Instituto de Investigación Ibs, Granada, Spain
- Ciber de Enfermedades Infecciosas, CIBERINFEC, ISCIII, Madrid, Spain
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Jing C, Wei T, Ning W, Fang Z, Gang X, Xingzhi W, Guoqiang Z, Min W. Treatment persistence of bictegravir/emtricitabine/tenofovir alafenamide and efavirenz + lamivudine + tenofovir disoproxil among HIV-1 patients newly starting treatment in Hunan Province in China. BMC Infect Dis 2023; 23:396. [PMID: 37308847 DOI: 10.1186/s12879-023-08359-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 05/31/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Though bictegravir/emtricitabine/tenofovir (BIC/FTC/TAF) have been regulatory approved and included in the National Reimbursement Drug List in China, due to the affordability concern, generic version of efavirenz + lamivudine + tenofovir (EFV + 3TC + TDF) is still recommended as the first-line therapy in the clinical guideline and widely used in clinical practice. The aim of the study is to assess the persistence with first-line BIC/TAF/TAF and EFV + 3TC + TDF in newly treated HIV-1 patients in the real-world setting in Hunan Province in China. METHODS A retrospective analysis of the medical records of HIV patients initiating first-line antiretroviral therapy in the First Hospital of Changsha in January 1st, 2021-July 31st, 2022 was conducted. Persistence was assessed as the number of days on the therapy from the index until treatment discontinuation or end of data availability. Kaplan-Meier Curves and Cox Proportional Hazard models were used to evaluate the discontinuation rates. Subgroup analysis was performed excluding BIC/FTC/TAF patients with treatment discontinuation due to economic reason, and EFV + 3TC + TDF patients with a viral load > 500,000 copies/mL. RESULTS A total of 310 eligible patients were included in the study, with 244 and 66 patients in the BIC/FTC/TAF group and EFV + 3TC + TDF group, respectively. Compared with EFV + 3TC + TDF patients, BIC/FTC/TAF patients were older, more living in the capital city currently, and had significantly higher total cholesterol and low-density level (all p < 0.05). No significant difference was shown in the time to discontinuation between BIC/FTC/TAF patients and EFV + 3TC + TDF patients. After excluding BIC/FTC/TAF patients with treatment discontinuation due to economic reason, EFV + 3TC + TDF group were shown to have a significantly higher risk of discontinuation than BIC/FTC/TAF group (hazard ratio [HR] = 11.1, 95% confidence interval [CI] = 1.3-93.2). After further removing the EFV + 3TC + TDF patients with a viral load > 500,000 copies/mL, the analysis showed similar results (HR = 10.1, 95% CI = 1.2-84.1). 79.4% of the EFV + 3TC + TDF patients discontinued treatment due to clinical reasons, while 83.3% of the BIC/FTC/TAF patients discontinued treatment due to economic reasons. CONCLUSIONS Compared with BIC/FTC/TAF, EFV + TDF + 3TC patients were significantly more likely to discontinue the first-line treatment in Hunan Province in China.
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Affiliation(s)
- Cao Jing
- Division of Infectious Diseases, the First Hospital of Changsha, Changsha, Hunan, China
| | - Tang Wei
- Division of Infectious Diseases, the First Hospital of Changsha, Changsha, Hunan, China
| | - Wang Ning
- Division of Infectious Diseases, the First Hospital of Changsha, Changsha, Hunan, China
| | - Zheng Fang
- Division of Infectious Diseases, the First Hospital of Changsha, Changsha, Hunan, China
| | - Xiao Gang
- Division of Infectious Diseases, the First Hospital of Changsha, Changsha, Hunan, China
| | | | - Zhou Guoqiang
- Division of Infectious Diseases, the First Hospital of Changsha, Changsha, Hunan, China.
| | - Wang Min
- Division of Infectious Diseases, the First Hospital of Changsha, Changsha, Hunan, China
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Li Q, Yu F, Song C, Zhao H, Xiao Q, Lao X, Yang S, Tang Y, Zhang F. HIV-1 Genotypic Resistance Testing Using Sanger and Next-Generation Sequencing in Adults with Low-Level Viremia in China. Infect Drug Resist 2022; 15:6711-6722. [PMID: 36438645 PMCID: PMC9697412 DOI: 10.2147/idr.s387215] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/27/2022] [Indexed: 08/08/2023] Open
Abstract
OBJECTIVE In this study, we aimed to determine drug-resistance mutations (DRMs) in HIV-1 patients with low-level viremia (LLV) and explored the performance of next-generation sequencing (NGS) in detecting HIV DRMs by using LLV samples. METHODS Overall, 80 samples with LLV were amplified and sequenced using a commercial Sanger sequencing (SS) genotyping kit. Furthermore, 51 samples successfully sequenced using SS were simultaneously subjected to NGS. Genotyping success rates of various viremia categories by two sequencing methods were calculated. Stanford HIV-1 drug-resistance database (HIVdb version 8.9) was used to analyze the DRMs. In the NGS assay, a threshold of 5% was considered for reporting low-frequency variants, and the DRMs detected using SS and NGS were compared. RESULTS The overall success rate of PR/RT regions was 88.1% (67/80) using SS and 86.3% (44/51) using NGS. Furthermore, a significant linear trend was noted between viral load and the genotyping success rate. A total of 38.8% (26/67) participants harbored at least one mutation, as revealed through SS. Moreover, the prevalence of DRMs in persistent LLV was significantly higher than that in intermittent LLV (62.1% vs. 21.1%; P < 0.05). A total of 69 DRMs were detected using the two sequencing methods at the threshold of 5%. Moreover, 10 DRMs missed by SS were detected using NGS, whereas 8 DRMs missed by NGS were detected by SS. CONCLUSION Our data suggested that the genotyping resistance testing is necessary to guide antiretroviral therapy optimization in LLV patients.
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Affiliation(s)
- Qun Li
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Fengting Yu
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Chuan Song
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Beijing, People’s Republic of China
| | - Hongxin Zhao
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Qing Xiao
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Xiaojie Lao
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Siyuan Yang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Yunxia Tang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Fujie Zhang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
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Zhang Y, Zhang G, Ling J. Medicinal Fungi with Antiviral Effect. Molecules 2022; 27:molecules27144457. [PMID: 35889330 PMCID: PMC9322162 DOI: 10.3390/molecules27144457] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/02/2022] [Accepted: 07/04/2022] [Indexed: 02/07/2023] Open
Abstract
Pandemics from various viruses make natural organisms face challenges over and over again. Therefore, new antiviral drugs urgently need to be found to solve this problem. However, drug research and development is a very difficult task, and finding new antiviral compounds is desirable. A range of medicinal fungi such as Ganoderma lucidum and Cordyceps sinensis are widely used all over the world, and they can enhance human immunity and direct anti-virus activities and other aspects to play an antiviral role. Medicinal fungi are used as foods or as food supplements. In this review, the species of medicinal fungi with antiviral activity in recent decades and the mechanism of antiviral components were reviewed from the perspectives of human, animal, and plant viruses to provide a comprehensive theory based on better clinical utilization of medicinal fungi as antiviral agents.
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Affiliation(s)
- Yu Zhang
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China;
| | - Guoying Zhang
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China;
- Correspondence: (G.Z.); (J.L.); Tel.: +86-0531-89628200 (G.Z.); +86-0532-58631501 (J.L.)
| | - Jianya Ling
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China;
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
- Correspondence: (G.Z.); (J.L.); Tel.: +86-0531-89628200 (G.Z.); +86-0532-58631501 (J.L.)
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8
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Rana N, Singh AK, Shuaib M, Gupta S, Habiballah MM, Alkhanani MF, Haque S, Reshi MS, Kumar S. Drug Resistance Mechanism of M46I-Mutation-Induced Saquinavir Resistance in HIV-1 Protease Using Molecular Dynamics Simulation and Binding Energy Calculation. Viruses 2022; 14:v14040697. [PMID: 35458427 PMCID: PMC9031992 DOI: 10.3390/v14040697] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/05/2022] [Accepted: 03/07/2022] [Indexed: 02/06/2023] Open
Abstract
Drug-resistance-associated mutation in essential proteins of the viral life cycle is a major concern in anti-retroviral therapy. M46I, a non-active site mutation in HIV-1 protease has been clinically associated with saquinavir resistance in HIV patients. A 100 ns molecular dynamics (MD) simulation and MM-PBSA calculations were performed to study the molecular mechanism of M46I-mutation-based saquinavir resistance. In order to acquire deeper insight into the drug-resistance mechanism, the flap curling, closed/semi-open/open conformations, and active site compactness were studied. The M46I mutation significantly affects the energetics and conformational stability of HIV-1 protease in terms of RMSD, RMSF, Rg, SASA, and hydrogen formation potential. This mutation significantly decreased van der Waals interaction and binding free energy (∆G) in the M46I–saquinavir complex and induced inward flap curling and a wider opening of the flaps for most of the MD simulation period. The predominant open conformation was reduced, but inward flap curling/active site compactness was increased in the presence of saquinavir in M46I HIV-1 protease. In conclusion, the M46I mutation induced structural dynamics changes that weaken the protease grip on saquinavir without distorting the active site of the protein. The produced information may be utilized for the discovery of inhibitor(s) against drug-resistant HIV-1 protease.
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Affiliation(s)
- Nilottam Rana
- Molecular Signaling & Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Bathinda 151401, Punjab, India; (N.R.); (A.K.S.); (M.S.)
| | - Atul Kumar Singh
- Molecular Signaling & Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Bathinda 151401, Punjab, India; (N.R.); (A.K.S.); (M.S.)
| | - Mohd Shuaib
- Molecular Signaling & Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Bathinda 151401, Punjab, India; (N.R.); (A.K.S.); (M.S.)
| | - Sanjay Gupta
- Department of Urology, Pharmacology and Pathology, Case Western Reserve University, Cleveland, OH 44106, USA;
| | - Mahmoud M. Habiballah
- Medical Laboratory Technology Department, Jazan University, Jazan 45142, Saudi Arabia;
- SMIRES for Consultation in Specialized Medical Laboratories, Jazan University, Jazan 45142, Saudi Arabia
| | - Mustfa F. Alkhanani
- Emergency Service Department, College of Applied Sciences, AlMaarefa University, Riyadh 11597, Saudi Arabia;
| | - Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan 45142, Saudi Arabia;
| | - Mohd Salim Reshi
- Toxicology and Pharmacology Lab., Department of Zoology, School of Biosciences and Biotechnology, Baba Ghulam Shah Badshah University, Rajouri 185234, Jammu & Kashmir, India;
| | - Shashank Kumar
- Molecular Signaling & Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Bathinda 151401, Punjab, India; (N.R.); (A.K.S.); (M.S.)
- Correspondence:
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