Driving forces of continuing evolution of rotaviruses.

Rotaviruses are non-enveloped double-stranded RNA virus that causes acute diarrheal diseases in children (< 5 years). More than 90% of the global rotavirus infection in humans was caused by Rotavirus group A. Rotavirus infection has caused more than 200000 deaths annually and predominantly occurs in the low-income countries. Rotavirus evolution is indicated by the strain dynamics or the emergence of the unprecedented strain. The major factors that drive the rotavirus evolution include the genetic shift that is caused by the reassortment mechanism, either in the intra- or the inter-genogroup. However, other factors are also known to have an impact on rotavirus evolution. This review discusses the structure and types, epidemiology, and evolution of rotaviruses. This article also reviews other supplemental factors of rotavirus evolution, such as genetic reassortment, mutation rate, glycan specificity, vaccine introduction, the host immune responses, and antiviral drugs.

Sequence analysis of the Spike, RNA-dependent RNA polymerase, and protease genes reveals a distinct evolutionary pattern of SARS-CoV-2 variants circulating in Yogyakarta and Central Java provinces, Indonesia.

During the Covid-19 pandemic, the resurgence of SARS-CoV-2 was due to the development of novel variants of concern (VOC). Thus, genomic surveillance is essential to monitor continuing evolution of SARS-CoV-2 and to track the emergence of novel variants. In this study, we performed phylogenetic, mutation, and selection pressure analyses of the Spike, nsp12, nsp3, and nsp5 genes of SARS-CoV-2 isolates circulating in Yogyakarta and Central Java provinces, Indonesia from May 2021 to February 2022. Various bioinformatics tools were employed to investigate the evolutionary dynamics of distinct SARS-CoV-2 isolates. During the study period, 213 and 139 isolates of Omicron and Delta variants were identified, respectively. Particularly in the Spike gene, mutations were significantly more abundant in Omicron than in Delta variants. Consistently, in all of four genes studied, the substitution rates of Omicron were higher than that of Delta variants, especially in the Spike and nsp12 genes. In addition, selective pressure analysis revealed several sites that were positively selected in particular genes, implying that these sites were functionally essential for virus evolution. In conclusion, our study demonstrated a distinct evolutionary pattern of SARS-CoV-2 variants circulating in Yogyakarta and Central Java provinces, Indonesia.

The evolution of chikungunya virus circulating in Indonesia: Sequence analysis of the orf2 gene encoding the viral structural proteins / La evolución del virus chikungunya que circula en Indonesia: análisis de secuencia del gen orf2 que codifica las proteínas estructurales virales

Chikungunya virus (CHIKV) is an arthropod-borne virus that has caused several major epidemics globally, including in Indonesia. Although significant progress has been achieved in understanding the epidemiology and genotype circulation of CHIKV in Indonesia, the evolution of Indonesian CHIKV isolates is poorly understood. Thus, our study aimed to perform phylogenetic and mutation analyses of the orf2 gene encoding its viral structural protein to improve our understanding of CHIKV evolution in Indonesia. Complete orf2 gene sequences encoding the viral structural proteins of Indonesian-derived CHIKV were downloaded from GenBank until August 31, 2022. Various bioinformatics tools were employed to perform phylogenetic and mutation analyses of the orf2 gene. We identified 76 complete sequences of orf2 gene of CHIKV isolates originally derived from Indonesia. Maximum likelihood trees demonstrated that the majority (69/76, 90.8%) of Indonesian-derived CHIKV isolates belonged to the Asian genotype, while seven isolates (9.2%) belonged to the East/Central/South African (ECSA) genotype. The Indonesian-derived CHIKV isolates were calculated to be originated in Indonesia around 95 years ago (1927), with 95% highest posterior density (HPD) ranging from 1910 to 1942 and a nucleotide substitution rate of 5.07 × 10−4 (95% HPD: 3.59 × 10−4 to 6.67 × 10−4). Various synonymous and non-synonymous substitutions were identified in the C, E3, E2, 6K, and E1 genes. Most importantly, the E1-A226V mutation, which has been reported to increase viral adaptation in Aedes albopictus mosquitoes, was present in all ECSA isolates. To our knowledge, our study is the first comprehensive research analyzing the mutation and evolution of Indonesian-derived CHIKV based on complete sequences of the orf2 genes encoding its viral structural proteins. Our results clearly showed a dynamic evolution of CHIKV circulating in Indonesia.(AU)

Prognostic factors for the outcomes of COVID-19 patients infected with SARS-CoV-2 Omicron and Delta variants.

BACKGROUND: The SARS-CoV-2 Omicron variant has replaced the previously dominant Delta variant because of high transmissibility. However, studies on the impact of the Omicron variant on the severity of COVID-19 are still limited in developing countries. Our study aimed to determine the prognostic factors for the outcomes of patients infected with SARS-CoV-2 Omicron and Delta variants, including age, sex, comorbidities, and smoking. METHODS: In this retrospective cross-sectional study, we involved 352 patients with COVID-19 from Yogyakarta and Central Java provinces, Indonesia, from May 2021 to February 2022, consisting of 164 males and 188 females. We included all patients with the PCR's Ct value of less than 30 for further whole-genome sequencing. RESULTS: Ct value and mean age of COVID-19 patients were not significantly different between both groups (p = 0.146 and 0.273, respectively). Patients infected with Omicron (n = 139) and Delta (n = 213) variants showed similar hospitalization (p = 0.396) and mortality rates (p = 0.565). Multivariate analysis of both groups showed that older age (≥ 65 years) had a higher risk for hospitalization (OR = 3.86 [95% CI = 1.29-11.5]; p = 0.015) and fatalities (OR = 3.91 [95% CI = 1.35-11.42]; p = 0.012). In both groups, patients with cardiovascular disease had a higher risk for hospitalization (OR = 5.36 [95% CI = 1.08-26.52]; p = 0.039), whereas patients with diabetes revealed a higher risk for fatalities (OR = 9.47 [95% CI = 3.23-27.01]; p = < 0.001). CONCLUSIONS: Our study shows that patients infected with Omicron and Delta variants reveal similar clinical outcomes, including hospitalization and mortality. Our findings further confirm that older age, cardiovascular disease, and diabetes are substantial prognostic factors for the outcomes of COVID-19 patients. Our findings imply that COVID-19 patients with older age, cardiovascular disease, or diabetes should be treated comprehensively and cautiously to prevent further morbidity and mortality. Furthermore, incomplete data on vaccination status hampered us from analyzing further its impact on hospitalization and mortality in our patients.

The high mutation rate at the D614G hotspot-furin cleavage site region increases the priming efficiency of the Spike protein by furin protease: analysis of Indonesian SARS-CoV-2 G614 variants obtained during the early COVID-19 pandemic.

D614G mutation plays a significant role in the transmissibility of SARS-CoV-2. Identification of other mutations related to D614G mutation within the Spike protein is pivotal as they might contribute to the pathogenicity of SARS-CoV-2. This study aims to analyze the mutation rate of furin cleavage site (FCS) region of Indonesian origin SARS-CoV-2 and to predict the effect of mutation against Spike priming efficiency by furin. A total of 375 sequences of Indonesian isolates obtained during the early pandemic were used for mutation analysis. Mutation analysis includes mutation pattern, variability, frequency of mutation, amino acid conservation, and mutation rate. The effect of mutation against Spike priming efficiency by furin protease from eight sequences with mutation in the FCS region was analyzed by protein-protein docking. We showed that mutations related to the G614 variant were increasing through time, in contrast to the D614 variant. The FCS region at the position 675-692 contained the most variable (66.67%) as well as the highest mutation frequency (85.92%) and has been observed to be the hotspot mutations linked to the D614G mutation. The D614G hotspot-FCS region (residue 600-700) had the highest amino acid change per site (20.8%) as well as the highest mutation rate as 1.34 × 10-2 substitution per site per year (95% CI 1.79 × 10-3-2.74 × 10-2), compared with other Spike protein regions. Mutations in the FCS region were the most common mutation found after the D614G mutation. These mutations were predicted to increase the Spike priming efficiency by furin. Thus, this study elucidates the importance of D614G mutation to other mutations located in the FCS region and their significance to Spike priming efficiency by furin. Supplementary Information: The online version contains supplementary material available at 10.1007/s13337-023-00827-w.

A retrospective study to assess visual field improvement following augmented trabeculectomy.

Purpose: To explore the visual field (VF) changes two years following augmented trabeculectomy. Methods: A retrospective study of patients who underwent augmented trabeculectomy surgery with mitomycin C by a single surgeon at East Lancashire Teaching Hospitals NHS Trust over 3 years. Patients with a minimum of two years postoperative follow-up were included. Baseline characteristics, intraocular pressure (IOP), VF, number of glaucoma medications, and complications were recorded. Results: In total, 206 eyes were included, 97 (47%) patients were female, and the mean age was 73.8 ± 10.3 (range 43 to 93) years. One hundred thirty-one (63.6%) eyes were pseudophakic before trabeculectomy. The patients were divided into three outcome groups according to VF outcome. Seventy-seven (37.4%) patients had stable VF, 35 (17.0%) patients showed VF improvement, and 94 (45.6%) had VF deterioration. The overall mean preoperative IOP was 22.7 ± 8.0 mmHg and postoperative IOP 10.4 ± 4.2 mmHg, with a reduction of 50.2% (P < 0.001). In total, 84.5% of postoperative patients did not require glaucoma medications. A higher number of patients with postoperative IOP ≥15 mmHg had deteriorating VF (P < 0.001). Based on preoperative MD distribution, VF improvement or stability was more achievable with patients with a preoperative VF defect up to -12 dB (n = 41, 59.4%) and in those with greater than -24 dB (n = 25, 64.1%). Conclusion: Trabeculectomy continues to be an effective means of lowering IOP in patients with uncontrolled glaucoma and is important in stabilizing or improving visual fields. We recommend early trabeculectomy to prevent further VF deterioration. This may help in maintaining VF for driving status and, thus, quality of life.

Facilitators and barriers of preventive behaviors against COVID-19 during Ramadan: A phenomenology of Indonesian adults.

Introduction: Intercity mobility restriction, physical distancing, and mask-wearing are preventive behaviors to reduce the transmission of COVID-19. However, strong cultural and religious traditions become particular challenges in Indonesia. This study uses the Behavior Change Wheel to explore barriers and facilitators for intercity mobility restriction, physical distancing, and mask-wearing during Ramadan. Methods: Semi-structured in-depth interviews with 50 Indonesian adults were conducted between 10 April and 4 June 2020. Having mapped codes into the Capacity, Opportunity, Motivation - Behavior (COM-B), and Theoretical Domain Framework (TDF) model, we conducted summative content analysis to analyze the most identified factors to preventive behaviors and proposed interventions to address those factors. Results: Belief about the consequence of preventive behaviors was the most mentioned facilitator to all preventive behaviors among compliers. However, optimism as a TDF factor was commonly mentioned as a barrier to preventive behaviors among non-compliers, while environmental context and resources were the most commonly mentioned factors for intercity mobility restriction. Conclusions: Public health intervention should be implemented considering the persuasion and involvement of religious and local leaders. Concerning job and economic context, policy related to the intercity mobility restriction should be reconsidered to prevent a counterproductive effect.

Sequence analysis of SARS-CoV-2 Delta variant isolated from Makassar, South Sulawesi, Indonesia.

Introduction: This study aimed to perform mutation and phylogenetic analyses of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Delta variants and analyze the characteristic signs and symptoms of patients infected with SARS-CoV-2 Delta variant originated from Makassar during the Delta outbreak.Methods: We collected samples from patients who were infected with coronavirus disease 2019 (COVID-19) between June and October 2021. We selected the Quantitative Reverse Transcription-Polymerase Chain Reaction (PCR)-positive samples with a cycle threshold value of <30 for whole genome sequencing. Total viral ribonucleic acid (RNA) was isolated from 34 PCR-positive nasopharyngeal swab samples, and whole genome sequencing was performed using the Oxford Nanopore GridlON sequencer. Phylogenetic and maximum clade credibility analyses were performed using the Bayesian Markov chain Monte Carlo method. Results: It was found that 33 patients were infected with the SARS-CoV-2 Delta variant in this cohort study, among whom 63.6% (21) patients were female. According to the clinical data, 24 (72.7%), 7 (21.2%), and 2 (6.1%) patients had mild, moderate, and severe COVID-19 infections. Phylogenetic analysis based on the spike and RNA-dependent RNA polymerase (RdRp) genes showed that the collected samples were clustered in the main lineage of B.1.617.2 (Delta variant). The Delta variants had a high frequency of distinct mutations in the spike protein region, including T19R (94.12%), L452R (88.23%), T478K (91.17%), D614G (97%), P681R (97%), and D950 N (97%). Other unique mutations found in a smaller frequency in our samples were present in the N-terminal domain, including A27T (2.94%) and A222V (14.70%), and in the receptor-binding domain, including Q414K (5.88%), G446V (2.94%), and T470 N (2.94%). Conclusion: This study revealed the unique mutations in the S protein region of Delta variants. T19R, L452R, T478K/T478R, D614G, P681R, and D950 N were the most common substitutions in Makassar's Delta variant.

The evolution of chikungunya virus circulating in Indonesia: Sequence analysis of the orf2 gene encoding the viral structural proteins.

Chikungunya virus (CHIKV) is an arthropod-borne virus that has caused several major epidemics globally, including in Indonesia. Although significant progress has been achieved in understanding the epidemiology and genotype circulation of CHIKV in Indonesia, the evolution of Indonesian CHIKV isolates is poorly understood. Thus, our study aimed to perform phylogenetic and mutation analyses of the orf2 gene encoding its viral structural protein to improve our understanding of CHIKV evolution in Indonesia. Complete orf2 gene sequences encoding the viral structural proteins of Indonesian-derived CHIKV were downloaded from GenBank until August 31, 2022. Various bioinformatics tools were employed to perform phylogenetic and mutation analyses of the orf2 gene. We identified 76 complete sequences of orf2 gene of CHIKV isolates originally derived from Indonesia. Maximum likelihood trees demonstrated that the majority (69/76, 90.8%) of Indonesian-derived CHIKV isolates belonged to the Asian genotype, while seven isolates (9.2%) belonged to the East/Central/South African (ECSA) genotype. The Indonesian-derived CHIKV isolates were calculated to be originated in Indonesia around 95 years ago (1927), with 95% highest posterior density (HPD) ranging from 1910 to 1942 and a nucleotide substitution rate of 5.07 × 10-4 (95% HPD: 3.59 × 10-4 to 6.67 × 10-4). Various synonymous and non-synonymous substitutions were identified in the C, E3, E2, 6K, and E1 genes. Most importantly, the E1-A226V mutation, which has been reported to increase viral adaptation in Aedes albopictus mosquitoes, was present in all ECSA isolates. To our knowledge, our study is the first comprehensive research analyzing the mutation and evolution of Indonesian-derived CHIKV based on complete sequences of the orf2 genes encoding its viral structural proteins. Our results clearly showed a dynamic evolution of CHIKV circulating in Indonesia.

The recent re-emergence of human monkeypox: Would it become endemic beyond Africa?

Viral outbreaks still become global health challenges, for instance, influenza A viruses, Japanese encephalitis, Ebola virus, Yellow fever, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since 7 May 2022, another outbreak of monkeypox also has been reported in European countries and the United States. Meanwhile, the monkeypox virus is previously endemic only in the western and central parts of Africa. Monkeypox is a zoonotic disease, although the primary animal reservoir remains unknown. This article concisely reviews the monkeypox virus, its transmission, pathogenesis, and clinical manifestation, its changing global epidemiology before and during the current outbreak, and possible driving factors of the recent outbreak. Furthermore, we also discuss whether the monkeypox virus would become endemic beyond Africa. Even though the available data suggests that human-to-human transmission is currently happening and unconnected clusters exist, many efforts have been made to tackle this outbreak, such as active case detection, contact tracing, isolation, and postexposure vaccination.

Two-year Outcomes of XEN Implantation with Minimal Bleb Needling.

Aim: Our study aims to report the 2 years outcomes of the XEN implant in a single unit, single surgeon setting with minimal bleb needling. Methods: A retrospective cohort study was conducted. Inclusion criteria were patients who underwent implantation with a XEN device between May 2016 and December 2017. This included patients who underwent both combined phacoemulsification and intraocular lens implantation alongside XEN implantation and those who underwent XEN implantation alone. Data gathered included basic demographic data, best-corrected visual acuity (LogMAR), intraocular pressure (IOP) in mm Hg, mean deviation from their visual field test, and the number of IOP-lowering medications they were on. This information was recorded for their preoperative visit, and then at 6, 12, 18 and 24 months postoperatively. The primary outcome assessed was a complete success when the patient was without glaucoma medications and had an IOP of 18 mm Hg or less, but more importantly, this also had to equate to a 20% reduction in IOP compared to baseline. Qualified success was defined as the same change in IOP but with medications. Surgical failure is defined as those who required additional glaucoma surgery or those who did not obtain an IOP of 18 mm Hg alongside a 20% reduction in IOP compared to baseline. Results: At 24 months follow-up 82.5% of patients were surgical successes. Complete surgical success was achieved in 27% of patients. Qualified surgical success was achieved in 55.6% of patients. Subgroup analysis of those undergoing XEN implantation on its own and those combined with phacoemulsification + IOL were similar. The rate of bleb needling was low at 4.5%. Complication rates were acceptable at 9.5%. Conclusion: It is possible to get good IOP control with minimal postoperative bleb needling in patients who have undergone XEN implantation. Similar success rates are found in those undergoing combined procedures. Clinical Significance: Bleb needling carries its own risks. Minimizing the number of bleb needling allows procedures to be reserved at a later date. Furthermore, our study shows that success rates are not affected by doing a combined procedure with phacoemulsification. How to cite this article: Ali ZC, Moshin N, Hakim MT, et al. Two-year Outcomes of XEN Implantation with Minimal Bleb Needling. J Curr Glaucoma Pract 2022;16(2):79-83.

Fast and noninvasive electronic nose for sniffing out COVID-19 based on exhaled breath-print recognition.

The reverse transcription-quantitative polymerase chain reaction (RT-qPCR) approach has been widely used to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, instead of using it alone, clinicians often prefer to diagnose the coronavirus disease 2019 (COVID-19) by utilizing a combination of clinical signs and symptoms, laboratory test, imaging measurement (e.g., chest computed tomography scan), and multivariable clinical prediction models, including the electronic nose. Here, we report on the development and use of a low cost, noninvasive method to rapidly sniff out COVID-19 based on a portable electronic nose (GeNose C19) integrating an array of metal oxide semiconductor gas sensors, optimized feature extraction, and machine learning models. This approach was evaluated in profiling tests involving a total of 615 breath samples composed of 333 positive and 282 negative samples. The samples were obtained from 43 positive and 40 negative COVID-19 patients, respectively, and confirmed with RT-qPCR at two hospitals located in the Special Region of Yogyakarta, Indonesia. Four different machine learning algorithms (i.e., linear discriminant analysis, support vector machine, stacked multilayer perceptron, and deep neural network) were utilized to identify the top-performing pattern recognition methods and to obtain a high system detection accuracy (88-95%), sensitivity (86-94%), and specificity (88-95%) levels from the testing datasets. Our results suggest that GeNose C19 can be considered a highly potential breathalyzer for fast COVID-19 screening.

The origin and continuing adaptive evolution of chikungunya virus.

Chikungunya virus (CHIKV) is the responsible agent of chikungunya fever, a debilitating arthritic disease in humans. CHIKV is endemic in Africa and Asia, although transmission cycles are considerably different on these continents. Before 2004, CHIKV had received little attention, since it was only known to cause localised outbreaks in a limited region with no fatalities. However, the recent global reemergence of CHIKV has caused serious global health problems and shown its potential to become a significant viral threat in the future. Unexpectedly, the reemergence is more rapid and is geographically more extensive, especially due to increased intensity of global travel systems or failure to contain mosquito populations. Another important factor is the successful adaptation of CHIKV to a new vector, the Aedes albopictus mosquito. Ae. albopictus survives in both temperate and tropical climates, thus facilitating CHIKV expansion to non-endemic regions. The continuous spread and transmission of CHIKV pose challenges for the development of effective vaccines and specific antiviral therapies. In this review, we discuss the biology and origin of CHIKV in Africa as well as its subsequent expansion to other parts of the world. We also review the transmission cycle of CHIKV and its continuing adaptation to its mosquito vectors and vertebrate hosts. More-complete understanding of the continuous evolution of CHIKV may help in predicting the emergence of CHIKV strains with possibly greater transmission efficiency in the future.

Evolutionary dynamics of SARS-CoV-2 circulating in Yogyakarta and Central Java, Indonesia: sequence analysis covering furin cleavage site (FCS) region of the spike protein / Dinámica evolutiva del SARS-CoV-2 que circula en Yogyakarta y Java Central, Indonesia: análisis de secuencia que cubre la región del sitio de escisión de furina (FCS) de la proteína espiga

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new virus responsible for the COVID-19 pandemic. The emergence of the new SARS-CoV-2 has been attributed to the possibility of evolutionary dynamics in the furin cleavage site (FCS) region. This study aimed to analyze the sequence of the FCS region in the spike protein of SARS-CoV-2 isolates that circulated in the Special Region of Yogyakarta and Central Java provinces in Indonesia. The RNA solution extracted from nasopharyngeal swab samples of confirmed COVID-19 patients were used and subjected to cDNA synthesis, PCR amplification, sequencing, and analysis of the FCS region. The sequence data from GISAID were also retrieved for further genome analysis. This study included 52 FCS region sequences. Several mutations were identified in the FCS region, i.e., D614G, Q675H, Q677H, S680P, and silent mutation in 235.57 C > T. The most important mutation in the FCS region is D614G. This finding indicated the G614 variant was circulating from May 2020 in those two provinces. Eventually, the G614 variant totally replaced the D614 variant from September 2020. All Indonesian SARS-CoV-2 isolates during this study and those deposited in GISAID showed the formation of five clade clusters from the FCS region, in which the D614 variant is in one specific cluster, and the G614 variant is dispersed into four clusters. The data indicated there is evolutionary advantage of the D614G mutation in the FCS region of the spike protein of SARS-CoV-2 circulating in the Special Region of Yogyakarta and Central Java provinces in Indonesia.(AU)

A Comparison of Bioinformatics Pipelines for Enrichment Illumina Next Generation Sequencing Systems in Detecting SARS-CoV-2 Virus Strains.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a newly emerging virus well known as the major cause of the worldwide pandemic due to Coronavirus Disease 2019 (COVID-19). Major breakthroughs in the Next Generation Sequencing (NGS) field were elucidated following the first release of a full-length SARS-CoV-2 genome on the 10 January 2020, with the hope of turning the table against the worsening pandemic situation. Previous studies in respiratory virus characterization require mapping of raw sequences to the human genome in the downstream bioinformatics pipeline as part of metagenomic principles. Illumina, as the major player in the NGS arena, took action by releasing guidelines for improved enrichment kits called the Respiratory Virus Oligo Panel (RVOP) based on a hybridization capture method capable of capturing targeted respiratory viruses, including SARS-CoV-2; therefore, allowing a direct map of raw sequences data to SARS-CoV-2 genome in downstream bioinformatics pipeline. Consequently, two bioinformatics pipelines emerged with no previous studies benchmarking the pipelines. This study focuses on gaining insight and understanding of target enrichment workflow by Illumina through the utilization of different bioinformatics pipelines named as 'Fast Pipeline' and 'Normal Pipeline' to SARS-CoV-2 strains isolated from Yogyakarta and Central Java, Indonesia. Overall, both pipelines work well in the characterization of SARS-CoV-2 samples, including in the identification of major studied nucleotide substitutions and amino acid mutations. A higher number of reads mapped to the SARS-CoV-2 genome in Fast Pipeline and merely were discovered as a contributing factor in a higher number of coverage depth and identified variations (SNPs, insertion, and deletion). Fast Pipeline ultimately works well in a situation where time is a critical factor. On the other hand, Normal Pipeline would require a longer time as it mapped reads to the human genome. Certain limitations were identified in terms of pipeline algorithm, whereas it is highly recommended in future studies to design a pipeline in an integrated framework, for instance, by using NextFlow, a workflow framework to combine all scripts into one fully integrated pipeline.

Full-genome sequencing and mutation analysis of SARS-CoV-2 isolated from Makassar, South Sulawesi, Indonesia.

Introduction: A global surge in SARS-CoV-2 cases is occurring due to the emergence of new disease variants, and requires continuous adjustment of public health measures. This study aims to continuously monitor and mitigate the impact of SARS-CoV-2 through genomic surveillance, to determine the emergence of variants and their impact on public health. Methods: Data were collected from 50 full-genome sequences of SARS-CoV-2 isolates from Makassar, South Sulawesi, Indonesia. Mutation and phylogenetic analysis was performed of SARS-CoV-2 from Makassar, South Sulawesi, Indonesia. Results: Phylogenetic analysis showed that two samples (4%) were of the B.1.319 lineage, while the others (96%) were of the B.1.466.2 lineage. Mutation analysis of the spike (S) protein region showed that the most common mutation was D614G (found in 100% of the sequenced isolates), followed by N439K (98%) and P681R (76%). Several mutations were also identified in other genomes with a high frequency, including P323L (nsp12), Q57H (ns3-orf3a), and T205I (nucleoprotein). Conclusion: Our findings highlight the importance of continuous genomic surveillance to identify new viral mutations and variants with possible impacts on public health.

Co-infection of SARS-CoV-2 with other viral respiratory pathogens in Yogyakarta, Indonesia: A cross-sectional study.

Background: Growing evidence shows that viral co-infection is found repeatedly in patients with Coronavirus Disease-2019 (COVID-19). This is the first report of SARS-CoV-2 co-infection with viral respiratory pathogens in Indonesia. Methods: Over a one month period of April to May 2020, SARS-CoV-2 positive nasopharyngeal swabs in our COVID-19 referral laboratory in Yogyakarta, Indonesia, were tested for viral respiratory pathogens by real-time, reverse transcription polymerase chain reaction (RT-PCR). Proportion of co-infection reported in percentage. Results: Fifty-nine samples were positive for other viral respiratory pathogens among a total of 125 samples. Influenza A virus was detected in 32 samples, Influenza B in 16 samples, Human metapneumovirus in 1 sample, and adenovirus in 10 samples. We did not detect any co-infection with respiratory syncytial virus. Nine (7.2%) patients had co-infection with more than two viruses. Conclusion: Viral co-infection with SARS-CoV-2 is common. These results will provide a helpful reference for diagnosis and clinical treatment of patients with COVID-19.

Evolutionary dynamics of SARS-CoV-2 circulating in Yogyakarta and Central Java, Indonesia: sequence analysis covering furin cleavage site (FCS) region of the spike protein.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new virus responsible for the COVID-19 pandemic. The emergence of the new SARS-CoV-2 has been attributed to the possibility of evolutionary dynamics in the furin cleavage site (FCS) region. This study aimed to analyze the sequence of the FCS region in the spike protein of SARS-CoV-2 isolates that circulated in the Special Region of Yogyakarta and Central Java provinces in Indonesia. The RNA solution extracted from nasopharyngeal swab samples of confirmed COVID-19 patients were used and subjected to cDNA synthesis, PCR amplification, sequencing, and analysis of the FCS region. The sequence data from GISAID were also retrieved for further genome analysis. This study included 52 FCS region sequences. Several mutations were identified in the FCS region, i.e., D614G, Q675H, Q677H, S680P, and silent mutation in 235.57 C > T. The most important mutation in the FCS region is D614G. This finding indicated the G614 variant was circulating from May 2020 in those two provinces. Eventually, the G614 variant totally replaced the D614 variant from September 2020. All Indonesian SARS-CoV-2 isolates during this study and those deposited in GISAID showed the formation of five clade clusters from the FCS region, in which the D614 variant is in one specific cluster, and the G614 variant is dispersed into four clusters. The data indicated there is evolutionary advantage of the D614G mutation in the FCS region of the spike protein of SARS-CoV-2 circulating in the Special Region of Yogyakarta and Central Java provinces in Indonesia.