Distribution characteristics of drug resistance mutations of HIV CRF01_AE, CRF07_BC and CRF08_BC from patients under ART in Ganzhou, China

CRF08_BC subtype is more prone to ART failure and new-generation NNRTI-resistance under long-term first-line ART

OBJECTIVE

To investigate the characteristics of drug resistance mutations (DRMs) and their contextual influence on drug susceptibility in CRF07_BC and CRF_08BC subtypes.

METHODS

Patients with virological failure were genotyped using phylogenetic analysis. DRMs and susceptibility to antiretroviral drugs were analysed using the Stanford University HIV Drug Resistance Database.

RESULTS

Six HIV subtypes were identified among 1296 successfully amplified sequences, with the CRF07_BC subtype prevailing at a rate of 91.7%, followed by CRF08_BC. Overall, the CRF07_BC and CRF08_BC subtypes were similar in the distribution and frequency of DRMs, the most common DRMs were K103N and M184V. However, among patients with antiretroviral therapy duration of ≥3 y who developed resistance, CRF08_BC exhibited a higher mutation frequency at sites 184, 138, 221, and 188 (Chi-square test, P < 0.05), and compared with CRF07_BC, patients with CRF08_BC had higher prevalence of abacavir, emtricitabine, lamivudine, doravirine, etravirine, and rilpivirine resistance. Moreover, there was an increased prevalence of cross-resistance between efavirenz/nevirapine and new-generation NNRTIs in patients with CRF08_BC; doravirine (r = 1.0), rilpivirine (r = 0.93), and etravirine (r = 0.86) resistance highly correlated with efavirenz/nevirapine.

CONCLUSIONS

The present study provides valuable insights into the profile of DRMs and resistance patterns in patients with CRF07_BC and CRF08_BC experiencing treatment failure in Butuo. These findings have the potential to contribute to future strategies for HIV control and treatment.

Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1

In the latest HIV-1 global drug resistance report released by WHO, countries are advised to strengthen pre-treatment monitoring of drug resistance in AIDS patients. In this study, we established an NGS-based segmented amplification HIV-1 drug resistance mutation detection method. The pol region of HIV-1 was divided into three short fragments for NGS. The entire amplification and sequencing panel were more cost-effective and batched by using the barcode sequence corresponding to the sample. Each parameter was evaluated using samples with known resistance variants frequencies. The nucleotide sequence error rate, amino acid error rate, and noise value of the NGS-based segmented amplification method were both less than 1%. When the threshold was 2%, the consensus sequences of the HIV-1 NL4-3 strain were completely consistent with the Sanger sequences. This method can detect the minimum viral load of the sample at 10² copies/ml, and the input frequency and detection frequency of HIV-1 resistance mutations within the range of 1%–100% had good conformity (R² = 0.9963; R² = 0.9955). This method had no non-specific amplification for Hepatitis B and C. Under the 2% threshold, the incidence of surveillance drug resistance mutations in ART-naive HIV-infected patients was 20.69%, among which NRTIs class resistance mutations were mainly.

Impacts of HIV-1 Subtype Diversity on Long-Term Clinical Outcomes in Antiretroviral Therapy in Guangxi, China

BACKGROUND

Comprehensively estimating the impacts of HIV-1 subtype diversity on long-term clinical outcomes during antiretroviral therapy (ART) can help inform program recommendations.

METHODS

The HIV-1 sequence data and clinical records of 5950 patients from all 14 prefectures in Guangxi, China, during 2008-2020 were included. Evolutional trends of CD4+ T-lymphocyte count and viral load were explored, and the effects of HIV-1 subtypes on clinical outcomes were estimated by the Cox proportional hazards model. The polymorphisms involved in drug resistance mutation were analyzed.

RESULTS

Compared with patients with CRF07_BC, patients with CRF01_AE and CRF08_BC showed poor immunologic and virologic responses to antiretroviral therapy. Although the median expected time from ART initiation to virologic suppression for all patients was approximately 12 months, patients with CRF01_AE and CRF08_BC had a long time to achieve immune recovery and a short time to occur immunologic failure, compared with patients with CRF07_BC. Adjusted analysis showed that both CRF01_AE and CRF08_BC were the negative factors in immune recovery and long-term mortality. In addition, CRF08_BC was a negative factor in virologic suppression and a risk factor of virologic failure. This poor virologic response might result from the high prevalence of drug resistance mutation in CRF08_BC.

CONCLUSIONS

Compared with patients with CRF07_BC, patients with CRF01_AE could benefit more from immediate ART, and patients with CRF08_BC are more suitable for PI-based regimens. These data emphasize the importance of routine HIV-1 genotyping before ART, immediate ART, and personalized ART regimens to improve the prognosis for patients undergoing ART.