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Background In the situation where COVID-19 pandemic has placed unprecedented demands and pressure on the health care system, we wanted to analyze how the medical microbiologists of our country were affected. Was it actually an opportunity to showcase the specialty or was it a doom? A debate was organized as a key session in the national e-conference of the Indian Association of Medical Microbiologists, held on 10 December 2020. Objectives The objective of the debate was to examine and analyze the various positive as well as negative impacts of COVID-19 on the discipline of the medical microbiology of our country. Content Before the debate a voting session was conducted to assess the opinion of the audience followed by a very interesting debate where both the speakers presented their view points. The points in favor of the discipline were, mainly up-gradation of the specialty of microbiology in terms of learning, skill development, infrastructure, networking & research opportunities related to COVID-19. While the main points against were, nerve wracking work load without much acknowledgement, performance pressure from hospital administration to maintain rapid turnaround time, and a forceful neglect of all other infectious diseases like tuberculosis and antimicrobial resistance which were the key battle fields of the medical microbiologists. Postgraduate & even undergraduate training programs got completely derailed to their disadvantage. By the end of the debate, it was concluded that COVID-19 was neither a boon nor a bane to the microbiologists. A balanced approach to the problem in hand is required without ignoring the pre-existing infectious diseases in our country. The post debate voting swayed the audience considerably for it to be a bane & the faculty debating for boon had a huge margin to begin with but finally won with a whisker indicating the intensity of the debate.

Background Immune system aberrations have been postulated to play a role in the pathophysiology of Obsessive-compulsive disorder (OCD). This study was aimed to examine the profile of immune cell subsets in peripheral blood of un-medicated OCD patients. Method Thirteen drug-naive/free OCD patients and twenty-six age & sex matched healthy controls were recruited. Immunophenotyping was carried out by staining the whole blood specimens with fluorescent monoclonal antibodies against the cell surface markers such as CD45, CD3, CD16, CD56, CD8, CD4, CD28, CD25 and CD127, followed by data acquisition on BD FACSVerse™ flow cytometer. The proportions of CD4 and CD8 T cells; T regulatory (Tregs), Natural Killer (NK) cells and NK-T cells were compared between patients with OCD and healthy control subjects. Results Significantly reduced percentage of T regulatory (Treg) cells was observed in individuals with OCD compared to healthy control subjects [1.0 ± 0.7 vs. 1.9 ± 1.4; p = 0.03, r = 0.33]. Conclusion Treg cells play a crucial role in regulating the immune response, especially by suppressing the functional activities of T cells. In this study, decreased population of Treg cells essentially indicates a dysregulated T cell and/or T cell mediated immune activation in drug-naive OCD patients. This preliminary observation might form the basis of further studies examining the immuno-inflammatory/autoimmune origin of OCD.

Guillain-Barré Syndrome (GBS), an immune-mediated neuropathy, is characterized by antibodies against gangliosides/ganglioside complexes (GSCs) of peripheral nerves. Antecedent infections have been reported to induce antibodies that cross-react with the host gangliosides and thereby have a pivotal role in conferring an increased risk for developing GBS. Data pertaining to the impact of various antecedent infections, particularly those prevalent in tropical countries like India on the ganglioside/GSC antibodies is sparse. We aimed at exploring the association between six antecedent infections and the profile of ganglioside/GSC antibodies in GBS.Patients with GBS (n = 150) and healthy controls (n = 50) were examined for the serum profile of antibodies against GM1, GM2, GD1a, GD1b, GT1b, and GQ1b and their GSCs by ELISA. These antibodies were correlated with immunoreactivities againstThe frequencies of antibodies against six single gangliosides (This study for the first time shows an association between antecedent JE infection and ganglioside antibodies in GBS. This finding reinforces the determining role of antecedent infections on ganglioside antibody responses and the subsequent immunological processes in GBS.

Acid Phosphatase (ACP) and Alkaline Phosphatases (ALP) are hydrolases that remove phosphate groups from protein and nucleic acid respectively for regulation of cell function from ACP as lysosomal defence function and ALP membrane-bound as a barrier of the cell. The ACP and ALP-specific activities of Meningiomas (n = 75) and gliomas (n = 81) were compared among brain tumors, normal brain, and derived primary cell culture.Total Protein and Phosphatases assays estimated by Spectrophotometer and Native PAGE Gel Electrophoresis. Brain tumor and primary explant lysosome studies were performed with an electron microscope.Average ACP specific activity exhibited 9.32617 ± 4.1144 for meningiomas (n = 55) and 5.91 ± 5.8305 for gliomas (n = 60) respectively as compared to normal brain 7.104 ± 1.33 (n = 120) nm/min/mg of protein. Average ALP exhibited 37.1862 ± 39.91 (n = 36) for meningiomas and 5.91 ± 5.83 (n = 60) for gliomas respectively as compared to normal brain (n = 117) 2.463 ± 1.01 nm/min/mg of protein. ACP and ALP exhibited higher activities for meningiomas but not for gliomas as compared to normal brain, in contrast, both expressed more activities in the majority of glioma cell lines and lower in meningioma cell lines. Interestingly gliomas exhibited similar average specific activities for ACP and ALP. While GBM IV exhibits lower ALP activities due to cell migration and higher ACP activity correlate too many storage lysosomes from Electron microscopic observation as compared to meningiomas.Higher ALP activities can be surrogate markers from meningiomas G-I, G-II to G-III respectively. However meningiomas G-III are similar to gliomas excluding Anaplastic Oligodendroglioma G- III which is similar to Meningiomas G-I even for cells growth patterns. Therefore, an ALP level in meningiomas indicates complementary diagnosis as antibody-ALP conjugates with anticancer drugs for efficiency in targeting brain tumor reduction.

Chikungunya virus (CHIKV) infection, generally characterised by fever, rash and debilitating polyarthralgia, and/or arthritis, also causes complications of the central nervous system, including encephalitis. However, the role of microglial cells in the neuropathogenesis of CHIKV is poorly understood. The current study characterised the progression of CHIKV infection in the human microglial cell line CHME-3. The susceptibility of these cells to CHIKV and the viral replication kinetics were assessed during the early and late phases of infection. The cell viability was determined using the cell viability assay. Ultrastructural changes in CHIKV infected CHME-3 cells were assessed using transmission electron microscopy. The results showed that CHME-3 cells are susceptible to CHIKV infection and support viral replication with no significant loss in cell viability until 72 h post infection. Ultrastructural studies revealed the formation of cytopathic vacuoles-I (CPV-I) in the early stages and CPV-II in later stages with several virions organized along the membrane of CPV-II. Profuse vacuolation was observed in the later stages of infection. Abnormal giant mitochondria with altered cristae were observed in infected cells with an electron-dense matrix. The study establishes CHME-3 cells as a potential model for investigating the role of human microglial cells in neuropathogenicity of CHIKV.

The immune hypothesis of schizophrenia has gained significant popularity in recent years in schizophrenia research. Evidence suggests that the peripheral immune system communicates with central nervous system and the effect propagates through microglial and lymphocyte crosstalk, especially during neuro-inflammation. Although, there is previous literature indicating changes in lymphocyte population in schizophrenia, detailed studies with respect to T and B cells are scarce. Mucosal associated invariant T (MAIT) cells are functionally associated with the gut microbiome. The gut microbiome has been implicated in the pathogenesis of schizophrenia. However, there is no information on the frequency of MAIT cells in schizophrenia. Hence, we investigated changes in proportions of T cells, B cells and MAIT cells in peripheral blood mononuclear cells derived from antipsychotic-free patients with schizophrenia in comparison to healthy controls. In line with earlier reports, we noted perturbations in Th17 cells. This study for the first time reports changes in frequencies of MAIT cells in a homogenous population of antipsychotic-free patients with schizophrenia. These changes, though not common across all patients nevertheless point to the fact that inflammation is prevalent in a significant subset of schizophrenia cases.

Guillain-Barre syndrome (GBS) is the commonest post-infectious inflammatory peripheral neuropathy with undiscerned aetiology. The commonly reported antecedent infections implicated in India include Campylobacter jejuni, chikungunya, dengue, and Japanese encephalitis (JE). In this study from south India, we investigated the role of these four agents in triggering GBS. This case-control study was performed on 150 treatment-naive patients with GBS and 150 age and sex-matched controls from the same community. IgM immunoreactivity for C. jejuni, chikungunya, and dengue was detected by enzyme-linked immunosorbent assay (ELISA) in serum of patients with GBS and control subjects. Immunoreactivity against JE was detected in serum as well as cerebrospinal fluid (CSF) from patients (n = 150) and orthopaedic control (n = 45) subjects. The immunoreactivity against infections was compared between demyelinating and axonal subtypes of GBS. Overall, 119/150 patients with GBS had serological evidence of antecedent infection. Amongst those with evidence of antecedent infection, 24 (16%), 8 (5%), and 9 (6%) patients were exclusively immunoreactive to chikungunya, JE, and C. jejuni, respectively. In the remaining patients (78/119), immunoreactivity to multiple pathogens was noted. Immunoreactivity to C. jejuni infection was found in 32% of GBS patients compared to 2.7% controls (P

Annual outbreaks of acute encephalitis syndrome pose a major health burden in India. Although Japanese encephalitis virus (JEV) accounts for around 15% of reported cases, the aetiology of most cases remains unknown. We aimed to establish an enhanced surveillance network and to use a standardised diagnostic algorithm to conduct a systematic evaluation of acute encephalitis syndrome in India.In this large-scale, systematic surveillance study in India, patients presenting with acute encephalitis syndrome (ie, acute onset of fever with altered mental status, seizure, or both) to any of the 18 participating hospitals across Uttar Pradesh, West Bengal, and Assam were evaluated for JEV (serum and cerebrospinal fluid [CSF] IgM ELISA) per standard of care. In enhanced surveillance, JEV IgM-negative specimens were additionally evaluated for scrub typhus, dengue virus, and West Nile virus by serum IgM ELISA, and for Streptococcus pneumoniae, Haemophilus influenzae, Neisseria meningitidis, dengue virus, herpes simplex virus, and enterovirus by CSF PCR across five referral laboratories. In 2017, chikungunya and Leptospira serum IgM by ELISA and Zika virus serum and CSF by PCR were also tested.Of 10 107 patients with acute encephalitis syndrome enrolled in enhanced surveillance between Jan 1, 2014, and Dec 31, 2017, 5734 (57·8%) of 9917 participants with available data were male and 6179 (62·7%) of 9856 were children aged 15 years and younger. Among patients who provided a sample of either CSF or serum in enhanced surveillance, an aetiology was identified in 1921 (33·2%) of 5786 patients enrolled between 2014 and 2016 and in 1484 (34·3%) of 4321 patients enrolled in 2017. The most commonly identified aetiologies were JEV (1023 [17·7%] of 5786 patients), scrub typhus (645 [18·5%] of 3489), and dengue virus (161 [5·2%] of 3124). Among participants who provided both CSF and serum specimens, an aetiology was identified in 1446 (38·3%) of 3774 patients enrolled between 2014 and 2016 and in 936 (40·3%) of 2324 enrolled in 2017, representing a 3·1-times increase in the number of patients with acute encephalitis syndrome with an identified aetiology compared with standard care alone (299 [12·9%]; p0·0001).Implementation of a systematic diagnostic algorithm in an enhanced surveillance platform resulted in a 3·1-times increase in identification of the aetiology of acute encephalitis syndrome, besides JEV alone, and highlighted the importance of scrub typhus and dengue virus as important infectious aetiologies in India. These findings have prompted revision of the national testing guidelines for this syndrome across India.US Centers for Disease Control and Prevention.

Chikungunya virus (CHIKV) is primarily transmitted by Aedes spp. mosquitoes. The present study investigated vector competence for CHIKV in Aedes aegypti and Aedes albopictus mosquitoes found in Madurai, South India. The role of receptor proteins on midguts contributing to permissiveness of CHIKV to Aedes spp. mosquitoes was also undertaken. Mosquitoes were orally infected with CHIKV DRDE-06. Infection of midguts and dissemination to heads was confirmed by immunofluorescence assay at different time points. A plaque assay was performed from mosquito homogenates at different time points to study CHIKV replication. Presence of putative CHIKV receptor proteins on mosquito midgut epithelial cells was detected by virus overlay protein binding assay (VOPBA). The identity of these proteins was established using mass spectrometry. CHIKV infection of Ae. aegypti and Ae. albopictus midguts and dissemination to heads was observed to be similar. A plaque assay performed with infected mosquito homogenates revealed that CHIKV replication dynamics was similar in Aedes sp. mosquitoes until 28 days post infection. VOPBA performed with mosquito midgut membrane proteins revealed that prohibitin could serve as a putative CHIKV receptor on Aedes mosquito midguts, whereas an absence of CHIKV binding protein/s on Culex quinquefasciatus midguts can partially explain the non-permissiveness of these mosquitoes to infection.

Brief AbstractWe analysed SARS-CoV-2 surveillance and contact tracing data from Karnataka, India up to 21 July 2020. We estimated metrics of infectiousness and the tendency for superspreading (overdispersion), and evaluated potential determinants of infectiousness and symptomaticity in COVID-19 cases. Among 956 cases confirmed to be forward-traced, 8.7% of index cases had 14.4% of contacts but caused 80% of all secondary cases, suggesting significant heterogeneity in individual-level transmissibility of SARS-CoV-2 which could not be explained by the degree of heterogeneity in underlying number of contacts. Secondary attack rate was 3.6% among 16715 close contacts. Transmission was higher when index case was aged >18 years, or was symptomatic (adjusted risk ratio, aRR 3.63), or was lab-confirmed ≥4 days after symptom onset (aRR 3.01). Probability of symptomatic infection increased with age, and symptomatic infectors were 8.16 times more likely to generate symptomatic secondaries. This could potentially cause a snowballing effect on infectiousness and clinical severity across transmission generations; further studies are suggested to confirm this. Mean serial interval was 5.4 days. Adding backward contact tracing and targeting control measures to curb super-spreading may be prudent. Due to low symptomaticity and infectivity, interventions aimed at children might have a relatively small impact on reducing transmission.Structured AbstractBackgroundIndia has experienced the second largest outbreak of COVID-19 globally, yet there is a paucity of studies analysing contact tracing data in the region. Such studies can elucidate essential transmission metrics which can help optimize disease control policies.MethodsWe analysed contact tracing data collected under the Integrated Disease Surveillance Programme from Karnataka, India between 9 March and 21 July 2020. We estimated metrics of disease transmission including the reproduction number (R), overdispersion (k), secondary attack rate (SAR), and serial interval. R and k were jointly estimated using a Bayesian Markov Chain Monte Carlo approach. We evaluated the effect of age and other factors on the risk of transmitting the infection, probability of asymptomatic infection, and mortality due to COVID-19.FindingsUp to 21 July, we found 111 index cases that crossed the super-spreading threshold of ≥8 secondary cases. R and k were most reliably estimated at R 0.75 (95% CI, 0.62-0.91) and k 0.12 (0.11-0.15) for confirmed traced cases (n=956); and R 0.91 (0.72-1.15) and k 0.22 (0.17-0.27) from the three largest clusters (n=394). Among 956 confirmed traced cases, 8.7% of index cases had 14.4% of contacts but caused 80% of all secondary cases. Among 16715 contacts, overall SAR was 3.6% (3.4-3.9) and symptomatic cases were more infectious than asymptomatic cases (SAR 7.7% vs 2.0%; aRR 3.63 [3.04-4.34]). As compared to infectors aged 19-44 years, children were less infectious (aRR 0.21 [0.07-0.66] for 0-5 years and 0.47 [0.32-0.68] for 6-18 years). Infectors who were confirmed ≥4 days after symptom onset were associated with higher infectiousness (aRR 3.01 [2.11-4.31]). Probability of symptomatic infection increased with age, and symptomatic infectors were 8.16 (3.29-20.24) times more likely to generate symptomatic secondaries. Serial interval had a mean of 5.4 (4.4-6.4) days with a Weibull distribution. Overall case fatality rate was 2.5% (2.4-2.7) which increased with age.ConclusionWe found significant heterogeneity in the individual-level transmissibility of SARS-CoV-2 which could not be explained by the degree of heterogeneity in the underlying number of contacts. To strengthen contact tracing in over-dispersed outbreaks, testing and tracing delays should be minimised, retrospective contact tracing should be considered, and contact tracing performance metrics should be utilised. Targeted measures to reduce potential superspreading events should be implemented. Interventions aimed at children might have a relatively small impact on reducing SARS-CoV-2 transmission owing to their low symptomaticity and infectivity. There is some evidence that symptomatic cases produce secondary cases that are more likely to be symptomatic themselves which may potentially cause a snowballing effect on infectiousness and clinical severity across transmission generations; further studies are needed to confirm this finding.FundingGiridhara R Babu is funded by an Intermediate Fellowship by the Wellcome Trust DBT India Alliance (Clinical and Public Health Research Fellowship); grant number: IA/CPHI/14/1/501499.

Growing evidence in the last decade suggest significant role of immune alterations in the pathogenesis of obsessive–compulsive disorder (OCD). Cytokines, mediators of inflammation, alter the neurotransmitter concentration and result in a hyposerotonergic and hyperglutamatergic state implicated in pathogenesis of OCD. However, only few studies have examined cytokine abnormalities in OCD with inconsistent results possibly due to confounding effects of medications and comorbid anxiety–depression. We examined 20 comorbidity free, drug free OCD patients and 20 age and sex matched healthy controls. Clinical severity was assessed using Yale Brown Obsessive Compulsive Scale, Hamilton anxiety rating scale, Hamilton depression rating scale and Clinical Global Impression. Levels of different cytokines, Interleukin (IL)-2, IL-4, IL-6, IL-10, Tumor necrosis factor (TNF)-α and Interferon (IFN)-γ were assessed using Cytometric Bead Array. OCD patients had significantly greater plasma levels of IL-2, IL-4, IL-6, IL-10 and TNF-α levels than controls but not IFN-γ. Reanalysis of data with only drug naive patients (excluding 4 drug free patients) did not alter the results. Presence of these abnormalities in drug-naive patients suggests the possible role of cytokines in the pathogenesis of OCD. Study findings have potential clinical utility in development of novel therapeutic options targeting cytokine aberrations in OCD.

Disparate lines of evidence including epidemiological and case-control studies have increasingly implicated vitamin D in the pathogenesis of schizophrenia. Vitamin D deficiency can lead to dysfunction of the hippocampus--a brain region hypothesized to be critically involved in schizophrenia. In this study, we examined for potential association between serum vitamin D level and hippocampal gray matter volume in antipsychotic-naïve or antipsychotic-free schizophrenia patients (n = 35). Serum vitamin D level was estimated using 25-OH vitamin D immunoassay. Optimized voxel-based morphometry was used to analyze 3-Tesla magnetic resonance imaging (MRI) (1-mm slice thickness). Ninety-seven percent of the schizophrenia patients (n = 34) had sub-optimal levels of serum vitamin D (83%, deficiency; 14%, insufficiency). A significant positive correlation was seen between vitamin D and regional gray matter volume in the right hippocampus after controlling for age, years of education and total intracranial volume (Montreal Neurological Institute (MNI) coordinates: x = 35, y = -18, z = -8; t = 4.34 pFWE(Corrected) = 0.018). These observations support a potential role of vitamin D deficiency in mediating hippocampal volume deficits, possibly through neurotrophic, neuroimmunomodulatory and glutamatergic effects.

The genus Flavivirus contains many mosquito-borne human pathogens of global epidemiological importance such as dengue virus, West Nile virus, and Zika virus, which has recently emerged at epidemic levels. Infections with these viruses result in divergent clinical outcomes ranging from asymptomatic to fatal. Myriad factors influence infection severity including exposure, immune status and pathogen/host genetics. Furthermore, pre-existing infection may skew immune pathways or divert immune resources. We profiled immune cells from dengue virus-infected individuals by multiparameter mass cytometry (CyTOF) to define functional status. Elevations in IFNβ were noted in acute patients across the majority of cell types and were statistically elevated in 31 of 36 cell subsets. We quantified response to in vitro (re)infection with dengue or Zika viruses and detected a striking pattern of upregulation of responses to Zika infection by innate cell types which was not noted in response to dengue virus. Significance was discovered by statistical analysis as well as a neural network-based clustering approach which identified unusual cell subsets overlooked by conventional manual gating. Of public health importance, patient cells showed significant enrichment of innate cell responses to Zika virus indicating an intact and robust anti-Zika response despite the concurrent dengue infection., Author summary Mosquitoes carry many globally important human pathogens including a family of related viruses: dengue virus, West Nile virus, Yellow Fever virus, and recently of critical significance, Zika virus. The Zika virus epidemic emerged very rapidly in the susceptible South American population and in many cases immune responses were unable to control the infection. Immune history is a key element of susceptibility or resistance to severe disease. We examined whether pre-existing infection would skew or divert immune resources and might play a role in the severity of Zika infection in the Americas. Using samples from dengue patients and healthy controls from India, we tested functional responses to Zika virus in the context of pre-existing dengue infection. We quantified frequency and functional status of 36 individual cell subsets in depth using advanced profiling techniques and a novel deep learning algorithm. We showed an intact response to new infection with Zika virus which was enriched for early innate immune pathways and robust even during existing dengue infection. Thus, our study suggests that concurrent dengue infection would not be expected to impair immune responses to new infection with Zika virus.

Inflammation is considered to be relevant in pathophysiology of schizophrenia. Existing literature indicates that controlling inflammation may be helpful in patient management. Procalcitonin (PCT) is an established marker of inflammation which has not been well studied in context with schizophrenia. The study recruited 34 schizophrenia patients free of antipsychotic treatment and 24 healthy controls without any signs of inflammation. Plasma C reactive protein was quantified using a high sensitivity turbidimetric assay. Plasma PCT levels was estimated by sandwich ELISA. The study ruled out autoimmune antibodies by ANA and RF tests which exclude confounding factors contributing to inflammation. The data shows a subgroup of patients 17/34 (50%) have either elevated PCT or CRP levels. This study is the first to report PCT values in antipsychotic drug-free patients with schizophrenia.

Multiple studies have identified the presence of peripheral immune aberrations in subjects with Autism Spectrum Disorder (ASD). However, comprehensive assessment of these peripheral immune aberrations, in the cellular and systemic compartments, in a single group of subjects with ASD is lacking. We assessed proportions of various subsets of immune cells in peripheral blood (T helper cells, T regulatory cells, B cells, monocytes, Natural Killer cells, dendritic cells) by multi-parametric flow cytometry in 50 children with ASD and compared it with thirty healthy controls matched for age, gender, socio-economic status and body mass index. There were no significant differences noted in the proportion of T regulatory cells, B cells, monocytes and Natural Killer cells, between ASD subjects and controls. On the contrary, the proportion of activated Th17 and myeloid dendritic cells were significantly higher in children with ASD. Based on these findings, group comparison of serum levels of Th17 cytokines (interleukin-6, interleukin-17A) was performed. Elevated serum levels of interleukin-6 and interleukin-17A in children with ASD corroborated our immunophenotyping findings. We did not find any significant differences among the pro-inflammatory (interleukin-1 beta), Th1 (interferon-gamma) and Th2 (interleukin-4) cytokines. This is the first evidence with concurrent findings from immunophenotyping and cytokine data demonstrating activation of the Th17 pathway in subjects with ASD. This finding assumes significance in the light of recent maternal immune activation mouse model study that has highlighted the role of Th17 pathway in the pathophysiology of ASD. Future longitudinal studies are needed to clarify the role of this dysregulated immune pathway in the development of ASD.

Biomedical researchers are generating high-throughput, high-dimensional single-cell data at a staggering rate. As costs of data generation decrease, experimental design is moving towards measurement of many different single-cell samples in the same dataset. These samples can correspond to different patients, conditions, or treatments. While scalability of methods to datasets of these sizes is a challenge on its own, dealing with large-scale experimental design presents a whole new set of problems, including batch effects and sample comparison issues. Currently, there are no computational tools that can both handle large amounts of data in a scalable manner (many cells) and at the same time deal with many samples (many patients or conditions). Moreover, data analysis currently involves the use of different tools that each operate on their own data representation, not guaranteeing a synchronized analysis pipeline. For instance, data visualization methods can be disjoint and mismatched with the clustering method. For this purpose, we present SAUCIE, a deep neural network that leverages the high degree of parallelization and scalability offered by neural networks, as well as the deep representation of data that can be learned by them to perform many single-cell data analysis tasks, all on a unified representation.A well-known limitation of neural networks is their interpretability. Our key contribution here are newly formulated regularizations (penalties) that render features learned in hidden layers of the neural network interpretable. When large multi-patient datasets are fed into SAUCIE, the various hidden layers contain denoised and batch-corrected data, a low dimensional visualization, unsupervised clustering, as well as other information that can be used to explore the data. We show this capability by analyzing a newly generated 180-sample dataset consisting of T cells from dengue patients in India, measured with mass cytometry. We show that SAUCIE, for the first time, can batch correct and process this 11-million cell data to identify cluster-based signatures of acute dengue infection and create a patient manifold, stratifying immune response to dengue on the basis of single-cell measurements.