Multiple CD4+ cell kinetic patterns and their relationships with baseline factors and virological responses in HIV type 1 patients receiving highly active antiretroviral therapy
This exploratory analyses characterizes patterns of lymphocyte recovery in HIV-1-infected patients treated with highly active antiretroviral therapy (HAART) and investigates their relationship with baseline indices and virologic responses. We modeled kinetics of total CD4+ lymphocytes, as well as na...
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creator | HULIN WU CONNICK, Elizabeth KURITZKES, Daniel R LANDAY, Alan SPRITZLER, John BIN ZHANG SPEAR, Gregory T KESSLER, Harold LEDERMAN, Michael M |
description | This exploratory analyses characterizes patterns of lymphocyte recovery in HIV-1-infected patients treated with highly active antiretroviral therapy (HAART) and investigates their relationship with baseline indices and virologic responses. We modeled kinetics of total CD4+ lymphocytes, as well as naive (CD45RA+ CD62L+), and memory (CD45RA- CD45RO+) subsets in 48 patients treated with AZT/3TC/Ritonavir for 48 weeks in ACTG protocol 315. Cell kinetic indices were estimated by nonlinear regression methods and were correlated with baseline factors and virologic responses. Five different kinetic patterns were identified, including biphasic growth, growth-plateau, growth-depletion, decay-recovery, and biphasic decay. Although overall mean lymphocyte responses showed a biphasic increase in cell number, a careful investigation reveals that only one-third of patients actually followed the biphasic growth pattern in CD4+ cell response, while 44% of 48 patients from this study followed the growth-depletion pattern. CD4+ cell recovery during the first phase and the 48-week study period were negatively correlated with baseline CD4+ cell counts, and positively correlated with baseline viral load. Memory CD4+ cell recovery during the first phase was also negatively correlated with baseline memory CD4+ and total CD4+ cell number, but the recovery rate of memory CD4+ cells during the second phase was positively correlated with baseline CD4+ cell number. Patients with a decay in CD4+ cell count during treatment were more likely to have experienced virological rebound (58%) than patients with nondecay patterns (24%). The rate and magnitude of the absolute increase in total CD4+ and memory CD4+ cell number (but not naive CD4+ cells) during the second phase were lower in patients with viral rebound compared with patients with persistent viral suppression. These results show that the kinetics of lymphocyte reconstitution in response to potent antiretroviral therapy in individual patients vary considerably from the "classic" biphasic increase that characterizes the mean or median response pattern. Pattern analysis of lymphocyte kinetics may be useful for testing relationships among factors that modulate the response to treatment. |
doi_str_mv | 10.1089/088922201750461285 |
format | Article |
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We modeled kinetics of total CD4+ lymphocytes, as well as naive (CD45RA+ CD62L+), and memory (CD45RA- CD45RO+) subsets in 48 patients treated with AZT/3TC/Ritonavir for 48 weeks in ACTG protocol 315. Cell kinetic indices were estimated by nonlinear regression methods and were correlated with baseline factors and virologic responses. Five different kinetic patterns were identified, including biphasic growth, growth-plateau, growth-depletion, decay-recovery, and biphasic decay. Although overall mean lymphocyte responses showed a biphasic increase in cell number, a careful investigation reveals that only one-third of patients actually followed the biphasic growth pattern in CD4+ cell response, while 44% of 48 patients from this study followed the growth-depletion pattern. CD4+ cell recovery during the first phase and the 48-week study period were negatively correlated with baseline CD4+ cell counts, and positively correlated with baseline viral load. Memory CD4+ cell recovery during the first phase was also negatively correlated with baseline memory CD4+ and total CD4+ cell number, but the recovery rate of memory CD4+ cells during the second phase was positively correlated with baseline CD4+ cell number. Patients with a decay in CD4+ cell count during treatment were more likely to have experienced virological rebound (58%) than patients with nondecay patterns (24%). The rate and magnitude of the absolute increase in total CD4+ and memory CD4+ cell number (but not naive CD4+ cells) during the second phase were lower in patients with viral rebound compared with patients with persistent viral suppression. These results show that the kinetics of lymphocyte reconstitution in response to potent antiretroviral therapy in individual patients vary considerably from the "classic" biphasic increase that characterizes the mean or median response pattern. Pattern analysis of lymphocyte kinetics may be useful for testing relationships among factors that modulate the response to treatment.</description><identifier>ISSN: 0889-2229</identifier><identifier>EISSN: 1931-8405</identifier><identifier>DOI: 10.1089/088922201750461285</identifier><identifier>PMID: 11559422</identifier><identifier>CODEN: ARHRE7</identifier><language>eng</language><publisher>Larchmont, NY: Liebert</publisher><subject>AIDS/HIV ; Anti-HIV Agents - pharmacology ; Anti-HIV Agents - therapeutic use ; Antibiotics. Antiinfectious agents. Antiparasitic agents ; Antiretroviral Therapy, Highly Active ; Antiviral agents ; Biological and medical sciences ; CD4 Lymphocyte Count ; CD4-Positive T-Lymphocytes - drug effects ; CD4-Positive T-Lymphocytes - immunology ; Drug Therapy, Combination ; Fundamental and applied biological sciences. Psychology ; HIV Infections - drug therapy ; HIV Infections - immunology ; HIV Infections - virology ; HIV-1 - drug effects ; HIV-1 - genetics ; HIV-1 - immunology ; Humans ; Immunodeficiencies ; Immunodeficiencies. Immunoglobulinopathies ; Immunologic Memory - drug effects ; Immunopathology ; Medical sciences ; Microbiology ; Pharmacology. Drug treatments ; RNA, Viral - blood ; Treatment Outcome ; Viral Load</subject><ispartof>AIDS research and human retroviruses, 2001-09, Vol.17 (13), p.1231-1240</ispartof><rights>2002 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c329t-aa071e662609dab6d86005f2bb4975e4136741760b3c7766def132c9ca66b3583</citedby><cites>FETCH-LOGICAL-c329t-aa071e662609dab6d86005f2bb4975e4136741760b3c7766def132c9ca66b3583</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3029,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14164683$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11559422$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>HULIN WU</creatorcontrib><creatorcontrib>CONNICK, Elizabeth</creatorcontrib><creatorcontrib>KURITZKES, Daniel R</creatorcontrib><creatorcontrib>LANDAY, Alan</creatorcontrib><creatorcontrib>SPRITZLER, John</creatorcontrib><creatorcontrib>BIN ZHANG</creatorcontrib><creatorcontrib>SPEAR, Gregory T</creatorcontrib><creatorcontrib>KESSLER, Harold</creatorcontrib><creatorcontrib>LEDERMAN, Michael M</creatorcontrib><creatorcontrib>ACTG 315 Team</creatorcontrib><title>Multiple CD4+ cell kinetic patterns and their relationships with baseline factors and virological responses in HIV type 1 patients receiving highly active antiretroviral therapy</title><title>AIDS research and human retroviruses</title><addtitle>AIDS Res Hum Retroviruses</addtitle><description>This exploratory analyses characterizes patterns of lymphocyte recovery in HIV-1-infected patients treated with highly active antiretroviral therapy (HAART) and investigates their relationship with baseline indices and virologic responses. We modeled kinetics of total CD4+ lymphocytes, as well as naive (CD45RA+ CD62L+), and memory (CD45RA- CD45RO+) subsets in 48 patients treated with AZT/3TC/Ritonavir for 48 weeks in ACTG protocol 315. Cell kinetic indices were estimated by nonlinear regression methods and were correlated with baseline factors and virologic responses. Five different kinetic patterns were identified, including biphasic growth, growth-plateau, growth-depletion, decay-recovery, and biphasic decay. Although overall mean lymphocyte responses showed a biphasic increase in cell number, a careful investigation reveals that only one-third of patients actually followed the biphasic growth pattern in CD4+ cell response, while 44% of 48 patients from this study followed the growth-depletion pattern. CD4+ cell recovery during the first phase and the 48-week study period were negatively correlated with baseline CD4+ cell counts, and positively correlated with baseline viral load. Memory CD4+ cell recovery during the first phase was also negatively correlated with baseline memory CD4+ and total CD4+ cell number, but the recovery rate of memory CD4+ cells during the second phase was positively correlated with baseline CD4+ cell number. Patients with a decay in CD4+ cell count during treatment were more likely to have experienced virological rebound (58%) than patients with nondecay patterns (24%). The rate and magnitude of the absolute increase in total CD4+ and memory CD4+ cell number (but not naive CD4+ cells) during the second phase were lower in patients with viral rebound compared with patients with persistent viral suppression. These results show that the kinetics of lymphocyte reconstitution in response to potent antiretroviral therapy in individual patients vary considerably from the "classic" biphasic increase that characterizes the mean or median response pattern. Pattern analysis of lymphocyte kinetics may be useful for testing relationships among factors that modulate the response to treatment.</description><subject>AIDS/HIV</subject><subject>Anti-HIV Agents - pharmacology</subject><subject>Anti-HIV Agents - therapeutic use</subject><subject>Antibiotics. Antiinfectious agents. Antiparasitic agents</subject><subject>Antiretroviral Therapy, Highly Active</subject><subject>Antiviral agents</subject><subject>Biological and medical sciences</subject><subject>CD4 Lymphocyte Count</subject><subject>CD4-Positive T-Lymphocytes - drug effects</subject><subject>CD4-Positive T-Lymphocytes - immunology</subject><subject>Drug Therapy, Combination</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>HIV Infections - drug therapy</subject><subject>HIV Infections - immunology</subject><subject>HIV Infections - virology</subject><subject>HIV-1 - drug effects</subject><subject>HIV-1 - genetics</subject><subject>HIV-1 - immunology</subject><subject>Humans</subject><subject>Immunodeficiencies</subject><subject>Immunodeficiencies. Immunoglobulinopathies</subject><subject>Immunologic Memory - drug effects</subject><subject>Immunopathology</subject><subject>Medical sciences</subject><subject>Microbiology</subject><subject>Pharmacology. Drug treatments</subject><subject>RNA, Viral - blood</subject><subject>Treatment Outcome</subject><subject>Viral Load</subject><issn>0889-2229</issn><issn>1931-8405</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNplkb2O1DAUhS0EYoeFF6BAbqBBAf8nKdEssCstogHayHFuJhc8TrA9g-axeEMczUhbUN3mO5-uziHkJWfvOGva96xpWiEE47VmynDR6Edkw1vJq0Yx_ZhsVqAqRHtFnqX0kzFWeP2UXHGudauE2JC_Xw4-4-KBbm_UW-rAe_oLA2R0dLE5QwyJ2jDQPAFGGsHbjHNIEy6J_sE80d4m8CVBR-vyHM_0EePs5x0660smLSUBiWKgt3c_aD4tQPmqRwg5FcABHjHs6IS7yZ9oEeERiihjhBznYiue8kG0y-k5eTJan-DF5V6T758-ftveVvdfP99tP9xXToo2V9aymoMxwrB2sL0ZGsOYHkXfq7bWoLg0teK1Yb10dW3MACOXwrXOGtNL3chr8ubsXeL8-wApd3tMaz82wHxIXc1L71KsoDiDLs4pRRi7JeLexlPHWbcO1f0_VAm9utgP_R6Gh8hlmQK8vgA2lRbHaIPD9MApbpRppPwHtuSeDg</recordid><startdate>20010901</startdate><enddate>20010901</enddate><creator>HULIN WU</creator><creator>CONNICK, Elizabeth</creator><creator>KURITZKES, Daniel R</creator><creator>LANDAY, Alan</creator><creator>SPRITZLER, John</creator><creator>BIN ZHANG</creator><creator>SPEAR, Gregory T</creator><creator>KESSLER, Harold</creator><creator>LEDERMAN, Michael M</creator><general>Liebert</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20010901</creationdate><title>Multiple CD4+ cell kinetic patterns and their relationships with baseline factors and virological responses in HIV type 1 patients receiving highly active antiretroviral therapy</title><author>HULIN WU ; CONNICK, Elizabeth ; KURITZKES, Daniel R ; LANDAY, Alan ; SPRITZLER, John ; BIN ZHANG ; SPEAR, Gregory T ; KESSLER, Harold ; LEDERMAN, Michael M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c329t-aa071e662609dab6d86005f2bb4975e4136741760b3c7766def132c9ca66b3583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>AIDS/HIV</topic><topic>Anti-HIV Agents - pharmacology</topic><topic>Anti-HIV Agents - therapeutic use</topic><topic>Antibiotics. Antiinfectious agents. Antiparasitic agents</topic><topic>Antiretroviral Therapy, Highly Active</topic><topic>Antiviral agents</topic><topic>Biological and medical sciences</topic><topic>CD4 Lymphocyte Count</topic><topic>CD4-Positive T-Lymphocytes - drug effects</topic><topic>CD4-Positive T-Lymphocytes - immunology</topic><topic>Drug Therapy, Combination</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>HIV Infections - drug therapy</topic><topic>HIV Infections - immunology</topic><topic>HIV Infections - virology</topic><topic>HIV-1 - drug effects</topic><topic>HIV-1 - genetics</topic><topic>HIV-1 - immunology</topic><topic>Humans</topic><topic>Immunodeficiencies</topic><topic>Immunodeficiencies. Immunoglobulinopathies</topic><topic>Immunologic Memory - drug effects</topic><topic>Immunopathology</topic><topic>Medical sciences</topic><topic>Microbiology</topic><topic>Pharmacology. Drug treatments</topic><topic>RNA, Viral - blood</topic><topic>Treatment Outcome</topic><topic>Viral Load</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>HULIN WU</creatorcontrib><creatorcontrib>CONNICK, Elizabeth</creatorcontrib><creatorcontrib>KURITZKES, Daniel R</creatorcontrib><creatorcontrib>LANDAY, Alan</creatorcontrib><creatorcontrib>SPRITZLER, John</creatorcontrib><creatorcontrib>BIN ZHANG</creatorcontrib><creatorcontrib>SPEAR, Gregory T</creatorcontrib><creatorcontrib>KESSLER, Harold</creatorcontrib><creatorcontrib>LEDERMAN, Michael M</creatorcontrib><creatorcontrib>ACTG 315 Team</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>AIDS research and human retroviruses</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HULIN WU</au><au>CONNICK, Elizabeth</au><au>KURITZKES, Daniel R</au><au>LANDAY, Alan</au><au>SPRITZLER, John</au><au>BIN ZHANG</au><au>SPEAR, Gregory T</au><au>KESSLER, Harold</au><au>LEDERMAN, Michael M</au><aucorp>ACTG 315 Team</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple CD4+ cell kinetic patterns and their relationships with baseline factors and virological responses in HIV type 1 patients receiving highly active antiretroviral therapy</atitle><jtitle>AIDS research and human retroviruses</jtitle><addtitle>AIDS Res Hum Retroviruses</addtitle><date>2001-09-01</date><risdate>2001</risdate><volume>17</volume><issue>13</issue><spage>1231</spage><epage>1240</epage><pages>1231-1240</pages><issn>0889-2229</issn><eissn>1931-8405</eissn><coden>ARHRE7</coden><abstract>This exploratory analyses characterizes patterns of lymphocyte recovery in HIV-1-infected patients treated with highly active antiretroviral therapy (HAART) and investigates their relationship with baseline indices and virologic responses. We modeled kinetics of total CD4+ lymphocytes, as well as naive (CD45RA+ CD62L+), and memory (CD45RA- CD45RO+) subsets in 48 patients treated with AZT/3TC/Ritonavir for 48 weeks in ACTG protocol 315. Cell kinetic indices were estimated by nonlinear regression methods and were correlated with baseline factors and virologic responses. Five different kinetic patterns were identified, including biphasic growth, growth-plateau, growth-depletion, decay-recovery, and biphasic decay. Although overall mean lymphocyte responses showed a biphasic increase in cell number, a careful investigation reveals that only one-third of patients actually followed the biphasic growth pattern in CD4+ cell response, while 44% of 48 patients from this study followed the growth-depletion pattern. CD4+ cell recovery during the first phase and the 48-week study period were negatively correlated with baseline CD4+ cell counts, and positively correlated with baseline viral load. Memory CD4+ cell recovery during the first phase was also negatively correlated with baseline memory CD4+ and total CD4+ cell number, but the recovery rate of memory CD4+ cells during the second phase was positively correlated with baseline CD4+ cell number. Patients with a decay in CD4+ cell count during treatment were more likely to have experienced virological rebound (58%) than patients with nondecay patterns (24%). The rate and magnitude of the absolute increase in total CD4+ and memory CD4+ cell number (but not naive CD4+ cells) during the second phase were lower in patients with viral rebound compared with patients with persistent viral suppression. These results show that the kinetics of lymphocyte reconstitution in response to potent antiretroviral therapy in individual patients vary considerably from the "classic" biphasic increase that characterizes the mean or median response pattern. Pattern analysis of lymphocyte kinetics may be useful for testing relationships among factors that modulate the response to treatment.</abstract><cop>Larchmont, NY</cop><pub>Liebert</pub><pmid>11559422</pmid><doi>10.1089/088922201750461285</doi><tpages>10</tpages></addata></record> |
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subjects | AIDS/HIV Anti-HIV Agents - pharmacology Anti-HIV Agents - therapeutic use Antibiotics. Antiinfectious agents. Antiparasitic agents Antiretroviral Therapy, Highly Active Antiviral agents Biological and medical sciences CD4 Lymphocyte Count CD4-Positive T-Lymphocytes - drug effects CD4-Positive T-Lymphocytes - immunology Drug Therapy, Combination Fundamental and applied biological sciences. Psychology HIV Infections - drug therapy HIV Infections - immunology HIV Infections - virology HIV-1 - drug effects HIV-1 - genetics HIV-1 - immunology Humans Immunodeficiencies Immunodeficiencies. Immunoglobulinopathies Immunologic Memory - drug effects Immunopathology Medical sciences Microbiology Pharmacology. Drug treatments RNA, Viral - blood Treatment Outcome Viral Load |
title | Multiple CD4+ cell kinetic patterns and their relationships with baseline factors and virological responses in HIV type 1 patients receiving highly active antiretroviral therapy |
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