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Weaver S, Dávila Conn VM, Ji D, Verdonk H, Ávila-Ríos S, Leigh Brown AJ, Wertheim JO, Kosakovsky Pond SL. AUTO-TUNE: selecting the distance threshold for inferring HIV transmission clusters. FRONTIERS IN BIOINFORMATICS 2024; 4:1400003. [PMID: 39086842 PMCID: PMC11289888 DOI: 10.3389/fbinf.2024.1400003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 05/17/2024] [Indexed: 08/02/2024] Open
Abstract
Molecular surveillance of viral pathogens and inference of transmission networks from genomic data play an increasingly important role in public health efforts, especially for HIV-1. For many methods, the genetic distance threshold used to connect sequences in the transmission network is a key parameter informing the properties of inferred networks. Using a distance threshold that is too high can result in a network with many spurious links, making it difficult to interpret. Conversely, a distance threshold that is too low can result in a network with too few links, which may not capture key insights into clusters of public health concern. Published research using the HIV-TRACE software package frequently uses the default threshold of 0.015 substitutions/site for HIV pol gene sequences, but in many cases, investigators heuristically select other threshold parameters to better capture the underlying dynamics of the epidemic they are studying. Here, we present a general heuristic scoring approach for tuning a distance threshold adaptively, which seeks to prevent the formation of giant clusters. We prioritize the ratio of the sizes of the largest and the second largest cluster, maximizing the number of clusters present in the network. We apply our scoring heuristic to outbreaks with different characteristics, such as regional or temporal variability, and demonstrate the utility of using the scoring mechanism's suggested distance threshold to identify clusters exhibiting risk factors that would have otherwise been more difficult to identify. For example, while we found that a 0.015 substitutions/site distance threshold is typical for US-like epidemics, recent outbreaks like the CRF07_BC subtype among men who have sex with men (MSM) in China have been found to have a lower optimal threshold of 0.005 to better capture the transition from injected drug use (IDU) to MSM as the primary risk factor. Alternatively, in communities surrounding Lake Victoria in Uganda, where there has been sustained heterosexual transmission for many years, we found that a larger distance threshold is necessary to capture a more risk factor-diverse population with sparse sampling over a longer period of time. Such identification may allow for more informed intervention action by respective public health officials.
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Affiliation(s)
- Steven Weaver
- Center for Viral Evolution, Temple University, Philadelphia, PA, United States
| | - Vanessa M. Dávila Conn
- Center for Research in Infectious Diseases, National Institute of Respiratory Diseases, Mexico City, Mexico
| | - Daniel Ji
- Department of Medicine, University of California San Diego, La Jolla, CA, United States
| | - Hannah Verdonk
- Center for Viral Evolution, Temple University, Philadelphia, PA, United States
| | | | - Andrew J. Leigh Brown
- Department of Medicine, University of California San Diego, La Jolla, CA, United States
| | - Joel O. Wertheim
- Department of Medicine, University of California San Diego, La Jolla, CA, United States
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Farooq HZ, James M, Abbott J, Oyibo P, Divall P, Choudhry N, Foster GR. Risk factors for hepatocellular carcinoma associated with hepatitis C genotype 3 infection: A systematic review. World J Gastrointest Oncol 2024; 16:1596-1612. [PMID: 38660636 PMCID: PMC11037048 DOI: 10.4251/wjgo.v16.i4.1596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/21/2023] [Accepted: 01/23/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Hepatitis C virus (HCV) is a blood-borne virus which globally affects around 79 million people and is associated with high morbidity and mortality. Chronic infection leads to cirrhosis in a large proportion of patients and often causes hepatocellular carcinoma (HCC) in people with cirrhosis. Of the 6 HCV genotypes (G1-G6), genotype-3 accounts for 17.9% of infections. HCV genotype-3 responds least well to directly-acting antivirals and patients with genotype-3 infection are at increased risk of HCC even if they do not have cirrhosis. AIM To systematically review and critically appraise all risk factors for HCC secondary to HCV-G3 in all settings. Consequently, we studied possible risk factors for HCC due to HCV-G3 in the literature from 1946 to 2023. METHODS This systematic review aimed to synthesise existing and published studies of risk factors for HCC secondary to HCV genotype-3 and evaluate their strengths and limitations. We searched Web of Science, Medline, EMBASE, and CENTRAL for publications reporting risk factors for HCC due to HCV genotype-3 in all settings, 1946-2023. RESULTS Four thousand one hundred and forty-four records were identified from the four databases with 260 records removed as duplicates. Three thousand eight hundred and eighty-four records were screened with 3514 excluded. Three hundred and seventy-one full-texts were assessed for eligibility with seven studies included for analysis. Of the seven studies, three studies were retrospective case-control trials, two retrospective cohort studies, one a prospective cohort study and one a cross-sectional study design. All were based in hospital settings with four in Pakistan, two in South Korea and one in the United States. The total number of participants were 9621 of which 167 developed HCC (1.7%). All seven studies found cirrhosis to be a risk factor for HCC secondary to HCV genotype-3 followed by higher age (five-studies), with two studies each showing male sex, high alpha feto-protein, directly-acting antivirals treatment and achievement of sustained virologic response as risk factors for developing HCC. CONCLUSION Although, studies have shown that HCV genotype-3 infection is an independent risk factor for end-stage liver disease, HCC, and liver-related death, there is a lack of evidence for specific risk factors for HCC secondary to HCV genotype-3. Only cirrhosis and age have demonstrated an association; however, the number of studies is very small, and more research is required to investigate risk factors for HCC secondary to HCV genotype-3.
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Affiliation(s)
- Hamzah Z Farooq
- Blizard Institute, Queen Mary University of London, London E1 2AT, United Kingdom
| | - Michael James
- Blizard Institute, Queen Mary University of London, London E1 2AT, United Kingdom
| | - Jane Abbott
- Blizard Institute, Queen Mary University of London, London E1 2AT, United Kingdom
| | - Patrick Oyibo
- School of Health and Psychological Sciences, University of London, London EC1V 0HB, United Kingdom
| | - Pip Divall
- University Hospitals of Leicester Library, University Hospitals of Leicester NHS Trust, Leicester LE3 9QP, United Kingdom
| | - Naheed Choudhry
- Blizard Institute, Queen Mary University of London, London E1 2AT, United Kingdom
| | - Graham R Foster
- Blizard Institute, Queen Mary University of London, London E1 2AT, United Kingdom
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Weaver S, Dávila-Conn V, Ji D, Verdonk H, Ávila-Ríos S, Leigh Brown AJ, Wertheim JO, Kosakovsky Pond SL. AUTO-TUNE: SELECTING THE DISTANCE THRESHOLD FOR INFERRING HIV TRANSMISSION CLUSTERS. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.11.584522. [PMID: 38559140 PMCID: PMC10979987 DOI: 10.1101/2024.03.11.584522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Molecular surveillance of viral pathogens and inference of transmission networks from genomic data play an increasingly important role in public health efforts, especially for HIV-1. For many methods, the genetic distance threshold used to connect sequences in the transmission network is a key parameter informing the properties of inferred networks. Using a distance threshold that is too high can result in a network with many spurious links, making it difficult to interpret. Conversely, a distance threshold that is too low can result in a network with too few links, which may not capture key insights into clusters of public health concern. Published research using the HIV-TRACE software package frequently uses the default threshold of 0.015 substitutions/site for HIV pol gene sequences, but in many cases, investigators heuristically select other threshold parameters to better capture the underlying dynamics of the epidemic they are studying. Here, we present a general heuristic scoring approach for tuning a distance threshold adaptively, which seeks to prevent the formation of giant clusters. We prioritize the ratio of the sizes of the largest and the second largest cluster, maximizing the number of clusters present in the network. We apply our scoring heuristic to outbreaks with different characteristics, such as regional or temporal variability, and demonstrate the utility of using the scoring mechanism's suggested distance threshold to identify clusters exhibiting risk factors that would have otherwise been more difficult to identify. For example, while we found that a 0.015 substitutions/site distance threshold is typical for US-like epidemics, recent outbreaks like the CRF07_BC subtype among men who have sex with men (MSM) in China have been found to have a lower optimal threshold of 0.005 to better capture the transition from injected drug use (IDU) to MSM as the primary risk factor. Alternatively, in communities surrounding Lake Victoria in Uganda, where there has been sustained hetero-sexual transmission for many years, we found that a larger distance threshold is necessary to capture a more risk factor-diverse population with sparse sampling over a longer period of time. Such identification may allow for more informed intervention action by respective public health officials.
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Affiliation(s)
- Steven Weaver
- Center for Viral Evolution, Temple University, Philadelphia, PA, USA
| | - Vanessa Dávila-Conn
- Center for Research in Infectious Diseases, National Institute of Respiratory Diseases, Mexico City, Mexico
| | - Daniel Ji
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA 92093, USA
| | - Hannah Verdonk
- Center for Viral Evolution, Temple University, Philadelphia, PA, USA
| | - Santiago Ávila-Ríos
- Center for Research in Infectious Diseases, National Institute of Respiratory Diseases, Mexico City, Mexico
| | - Andrew J Leigh Brown
- School of Biological Sciences, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Joel O Wertheim
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
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Muñoz-Restrepo AM, Navas MC, Daza J, Girala M, Ridruejo E, Gerken G, Teufel A. Prevention in Hepatology. J Pers Med 2024; 14:132. [PMID: 38392566 PMCID: PMC10890057 DOI: 10.3390/jpm14020132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/01/2024] [Accepted: 01/09/2024] [Indexed: 02/24/2024] Open
Abstract
The prevention of liver disease has improved significantly in the last few decades, to the point that it can now be considered a true success story. The wide variety of interventions, including comprehensive vaccination strategies, novel medications, lifestyle changes, and even preventive surgeries, have reduced the morbidity and mortality of chronic liver diseases. However, the prevalence of chronic liver diseases is increasing worldwide. Currently, fatty liver disease alone is estimated to be present in as much as 30% of the adult population. Furthermore, there is a trend towards increasing incidences of chronic hepatitis B, and a global lack of success in efforts to eliminate chronic hepatitis C. Thus, improving and efficiently rolling out existing and successful prevention strategies for chronic liver diseases will play an essential role in healthcare throughout the upcoming decades. In this review, we summarize the current options and concepts for preventing chronic liver diseases, highlight their limitations, and provide an outlook on probable future developments to improve awareness, integrated care, and the analysis of big data.
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Affiliation(s)
- Ana-Maria Muñoz-Restrepo
- Department of Medicine II, Division of Hepatology, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- Grupo Gastrohepatología, Facultad de Medicina, Universidad de Antioquia, UdeA, Calle 70 # 52-21, Medellin 050010, Colombia
| | - Maria-Cristina Navas
- Grupo Gastrohepatología, Facultad de Medicina, Universidad de Antioquia, UdeA, Calle 70 # 52-21, Medellin 050010, Colombia
| | - Jimmy Daza
- Department of Medicine II, Division of Hepatology, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Marcos Girala
- Department of Hepatology, Universidad Nacional de Asunción, San Lorenzo 111421, Paraguay
| | - Ezequiel Ridruejo
- Hepatology Section, Department of Medicine, Center for Medical Education and Clinical Research, Norberto Quirno CEMIC, Buenos Aires 1431, Argentina
| | - Guido Gerken
- Department of Gastroenterology, University Hospital Essen, 45147 Essen, Germany
| | - Andreas Teufel
- Department of Medicine II, Division of Hepatology, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- Clinical Cooperation Unit Healthy Metabolism, Center for Preventive Medicine, and Digital Health (CPD), Medical Faculty Mannheim, Heidelberg University, 69117 Mannheim, Germany
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Kwan TH, Wong BCK, Wong KH, Lee SS. Hepatitis C Co-infection in People Living With HIV—Epidemiologic Differences Between Men Who Have Sex With Men MSM and Non-MSM. Front Public Health 2022; 10:925600. [PMID: 35719672 PMCID: PMC9204175 DOI: 10.3389/fpubh.2022.925600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 05/16/2022] [Indexed: 11/25/2022] Open
Abstract
People living with human immunodeficiency virus (PLHIV) constitute a unique group at higher risk of hepatitis C virus (HCV) co-infection. In light of the diverse profiles of PLHIV, we differentiated between men who have sex with men (MSM) and non-MSM in the characterization of the epidemiologic features of HIV/HCV co-infection. Clinical data of HCV co-infection patients from the HIV specialist clinic in Hong Kong were retrospectively collected in conjunction with their HIV subtypes and HCV genotypes. Logistic regression models were used to identify factors associated with HIV/HCV co-infection in MSM. Survival analysis was performed to compare the time lag between HIV and HCV diagnoses between two groups. Latent class analysis was conducted to describe the features of different classes of co-infections. Four classes of HIV/HCV co-infections were identified: local MSM acquiring HCV after HIV diagnosis, local MSM with HIV/HCV co-diagnoses, local non-MSM, and non-local non-MSM. Accounting for over half of the co-infections, MSM were more likely to be younger, local residents, and associated with HCV genotype 3, compared to genotypes 1 and 6 in non-MSM. Overall, MSM had higher odds of achieving HIV viral suppression and co-diagnosing with a sexually transmitted infection at HCV diagnosis, and having a longer time lag between HIV and HCV diagnoses. Drug injection accounted for a majority of non-MSM HCV infection. There were distinctive epidemiologic differences between MSM and non-MSM co-infected with HIV and HCV, the characteristics of which could inform intervention strategies for achieving HCV micro-elimination.
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Amin J, Vaccher S, Templeton DJ, Bavinton B B, Jin F, ZablotskaI I, Matthews G, Oglvie E, Yeung B, Ooi C, Dharan N, Baker DA, Read P, Grulich AE. Low prior exposure and incidence of hepatitis C in HIV negative gay and bisexual men taking PrEP: findings from the EPIC-NSW prospective implementation study. Clin Infect Dis 2022; 75:1497-1502. [PMID: 35352102 DOI: 10.1093/cid/ciac231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The use of pre-exposure prophylaxis (PrEP) for the prevention of HIV has raised concerns of increased sexual risk behaviours. These behaviours may be associated with increased incidence of sexually acquired hepatitis C (HCV) among gay and bisexual men (GBM). METHODS The Expanded PrEP Implementation in Communities-New South Wales (EPIC-NSW) study was a cohort study of daily co-formulated tenofovir disoproxil fumarate and emtricitabine for HIV prevention. We recruited 9596 people at high risk of HIV acquisition from 31 clinics across New South Wales and the Australia Capital Territory in Australia. We report prior exposure to HCV and incidence in this cohort between 2016 and 2019. RESULTS At least one HCV test result was available for 8658 (90.2%) participants. These individuals had a median age of 34 years (IQR 28-43), most of whom were male (8530, 98.5%), identified as gay (7944, 91.8%), and were born in Australia (51.8%). Prior exposure to HCV was detected among 81 participants at baseline (0.9%, 95% CI 0.7 to 1.2%). Twenty of 8577 participants were diagnosed with incident infection (rate 0.2/100 person years (95%CI 0.1 to 0.3/100py)). They were significantly older (median age 41 years vs 34 years, p=0.044), and more likely to report methamphetamine use at baseline (IRR 2.7 (95%CI 1.00-7.2)) than those without incident infection. CONCLUSIONS In this population of PrEP users, HCV prior exposure and incidence were low. With high levels of HCV and HIV testing and treatment, the dual goals of HIV and HCV elimination could be achieved in this population.
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Affiliation(s)
- Janaki Amin
- Department of Health Systems and Populations, Macquarie University, Sydney, New South Wales, Australia.,The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Stefanie Vaccher
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - David J Templeton
- Department of Sexual Health Medicine and Sexual Assault Medical Service, Sydney Local Health District, and Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Fengyi Jin
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Iryna ZablotskaI
- Western Sydney Sexual Health Centre & Sydney Medical School - Westmead, University of Sydney, Sydney, New South Wales, Australia
| | - Gail Matthews
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Erin Oglvie
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Barbra Yeung
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Catriona Ooi
- Clinic 16, St Leonards, Sydney, New South Wales, Australia
| | - Nila Dharan
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - David A Baker
- East Sydney Doctors, Darlinghurst, Sydney, New South Wales, Australia
| | - Phillip Read
- Kirketon Road Centre, Kings Cross, Sydney, New South Wales, Australia
| | - Andrew E Grulich
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
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