Recurrent Infections in an Ethiopian Boy with Autosomal Recessive Major Histocompatibility Complex Type I Deficiency: a Case Report on a Very Rare Primary Immunodeficiency Disorder and a Review of Principles in Evaluation and Management.

Little is known about major histocompatibility complex type I deficiency, a rare form of primary immunodeficiency. This report describes the presentation of a three-year-old Ethiopian boy with recurrent sinopulmonary infections and genetic analysis showing him having autosomal recessive major histocompatibility complex type I deficiency-the first such report in a child of black African descent-and follows it with a summary of existing literature on the epidemiology, presentation, and diagnosis as well as principles of management of this disorder.

Transcriptomic characteristics and impaired immune function of patients who retest positive for SARS-CoV-2 RNA.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has become a global public health crisis. Some patients who have recovered from COVID-19 subsequently test positive again for SARS-CoV-2 RNA after discharge from hospital. How such retest-positive (RTP) patients become infected again is not known. In this study, 30 RTP patients, 20 convalescent patients, and 20 healthy controls were enrolled for the analysis of immunological characteristics of their peripheral blood mononuclear cells. We found that absolute numbers of CD4+ T cells, CD8+ T cells, and natural killer cells were not substantially decreased in RTP patients, but the expression of activation markers on these cells was significantly reduced. The percentage of granzyme B-producing T cells was also lower in RTP patients than in convalescent patients. Through transcriptome sequencing, we demonstrated that high expression of inhibitor of differentiation 1 (ID1) and low expression of interferon-induced transmembrane protein 10 (IFITM10) were associated with insufficient activation of immune cells and the occurrence of RTP. These findings provide insight into the impaired immune function associated with COVID-19 and the pathogenesis of RTP, which may contribute to a better understanding of the mechanisms underlying RTP.

Complete Analysis of the Epidemiological Scenario around a SARS-CoV-2 Reinfection: Previous Infection Events and Subsequent Transmission.

The first descriptions of reinfection by SARS-CoV-2 have been recently reported. However, these studies focus exclusively on the reinfected case, without considering the epidemiological context of the event. Our objectives were to perform a complete analysis of the sequential infections and community transmission events around a SARS-CoV-2 reinfection, including the infection events preceding it, the exposure, and subsequent transmissions. Our analysis was supported by host genetics, viral whole-genome sequencing, phylogenomic viral population analysis, and refined epidemiological data obtained from interviews with the involved subjects. The reinfection involved a 53-year-old woman with asthma (Case A), with a first COVID-19 episode in April 2020 and a much more severe second episode 4-1/2 months later, with SARS-CoV-2 seroconversion in August, that required hospital admission. An extended genomic analysis allowed us to demonstrate that the strain involved in Case A's reinfection was circulating in the epidemiological context of Case A and was also transmitted subsequently from Case A to her family context. The reinfection was also supported by a phylogenetic analysis, including 348 strains from Madrid, which revealed that the strain involved in the reinfection was circulating by the time Case A suffered the second episode, August-September 2020, but absent at the time range corresponding to Case A's first episode. IMPORTANCE We present the first complete analysis of the epidemiological scenario around a reinfection by SARS-CoV-2, more severe than the first episode, including three cases preceding the reinfection, the reinfected case per se, and the subsequent transmission to another seven cases.

Symptomatic SARS-CoV-2 Reinfection in a Healthy Healthcare Worker in Italy Confirmed by Whole-Genome Sequencing.

This study describes a case of SARS-CoV-2 reinfection confirmed by whole-genome sequencing in a healthy physician who had been working in a COVID-19 hospital in Italy since the beginning of the pandemic. Nasopharyngeal swabs were obtained from the patient at each presentation as part of routine surveillance. Nucleic acid amplification testing was performed on the two samples to confirm SARS-CoV-2 infection, and serological tests were used to detect SARS-CoV-2 IgG antibodies. Comparative genome analysis with whole-genome sequencing was performed on nasopharyngeal swabs collected during the two episodes of COVID-19. The first COVID-19 episode was in March 2020, and the second was in January 2021. Both SARS-CoV-2 infections presented with mild symptoms, and seroconversion for SARS-CoV-2 IgG was documented. Genomic analysis showed that the viral genome from the first infection belonged to the lineage B.1.1.74, while that from the second infection to the lineage B.1.177. Epidemiological, clinical, serological, and genomic analyses confirmed that the second episode of SARS-CoV-2 infection in the healthcare worker met the qualifications for "best evidence" for reinfection. Further studies are urgently needed to assess the frequency of such a worrisome occurrence, particularly in the light of the recent diffusion of SARS-CoV-2 variants of concern.

Predicting the Probability of Chlamydia Reinfection in African American Women Using Immunologic and Genetic Determinants in a Bayesian Model.

BACKGROUND: African Americans have the highest rates of Chlamydia trachomatis (CT) infection in the United States and also high reinfection rates. The primary objective of this study was to develop a Bayesian model to predict the probability of CT reinfection in African American women using immunogenetic data. METHODS: We analyzed data from a cohort of CT-infected African American women enrolled at the time they returned to a clinic in Birmingham, AL, for the treatment of a positive routine CT test result. We modeled the probability of CT reinfection within 6 months after treatment using logistic regression in a Bayesian framework. Predictors of interest were presence or absence of an HLA-DQB1*06 allele and CT-specific CD4+ IFN-γ response, both of which we had previously reported were independently associated with CT reinfection risk. RESULTS: Among 99 participants evaluated, the probability of reinfection for those with a CT-specific CD4+ IFN-γ response and no HLA-DQB1*06 alleles was 14.1% (95% credible interval [CI], 3.0%-45.0%), whereas the probability of reinfection for those without a CT-specific CD4+ IFN-γ response and at least one HLA-DQB1*06 allele was 61.5% (95% CI, 23.1%-89.7%). CONCLUSIONS: Our model demonstrated that presence or absence of an HLA-DQB1*06 allele and CT-specific CD4+ IFN-γ response can have an impact on the predictive probability of CT reinfection in African American women.

Reproductive risks and preimplantation genetic testing intervention for X-autosome translocation carriers.

RESEARCH QUESTION: What is the genetic cause of multiple congenital disabilities in a girl with a maternal balanced X-autosome translocation [t(X-A)]? Is preimplantation genetic testing (PGT), to distinguish non-carrier from euploid/balanced embryos and prioritize transfer, an effective and applicable strategy for couples with t(X-A)? DESIGN: Karyotype analysis, whole-exome sequencing and X inactivation analysis were performed for a girl with congenital cardiac anomalies, language impairment and mild neurodevelopmental delay. PGT based on next-generation sequencing after microdissecting junction region (MicroSeq) to distinguish non-carrier and carrier embryos was used in three couples with a female t(X-A) carrier (cases 1-3). RESULTS: The girl carried a maternal balanced translocation 46,X,t(X;1)(q28;p31.1). Whole-exome sequencing revealed no monogenic mutation related to her phenotype, but she carried a rare skewed inactivation of the translocated X chromosome that spread to the adjacent interstitial 1p segment, contrary to her mother. All translocation breakpoints in cases 1-3 were successfully identified and each couple underwent one PGT cycle. Thirty oocytes were retrieved, and 13 blastocysts were eligible for biopsy, of which six embryos had a balanced translocation and only four were non-carriers. Three cryopreserved embryo transfers with non-carrier status embryos resulted in the birth of two healthy children (one girl and one boy), who were subsequently confirmed to have normal karyotypes. CONCLUSIONS: This study reported a girl with multiple congenital disabilities associated with a maternal balanced t(X-A) and verified that the distinction between non-carrier and carrier embryos is an effective and applicable strategy to avoid transferring genetic and reproductive risks to the offspring of t(X-A) carriers.

ACoRE: Accurate SARS-CoV-2 genome reconstruction for the characterization of intra-host and inter-host viral diversity in clinical samples and for the evaluation of re-infections.

Sequencing the SARS-CoV-2 genome from clinical samples can be challenging, especially in specimens with low viral titer. Here we report Accurate SARS-CoV-2 genome Reconstruction (ACoRE), an amplicon-based viral genome sequencing workflow for the complete and accurate reconstruction of SARS-CoV-2 sequences from clinical samples, including suboptimal ones that would usually be excluded even if unique and irreplaceable. The protocol was optimized to improve flexibility and the combination of technical replicates was established as the central strategy to achieve accurate analysis of low-titer/suboptimal samples. We demonstrated the utility of the approach by achieving complete genome reconstruction and the identification of false-positive variants in >170 clinical samples, thus avoiding the generation of inaccurate and/or incomplete sequences. Most importantly, ACoRE was crucial to identify the correct viral strain responsible of a relapse case, that would be otherwise mis-classified as a re-infection due to missing or incorrect variant identification by a standard workflow.

A Computer Modelling Approach To Evaluate the Accuracy of Microsatellite Markers for Classification of Recurrent Infections during Routine Monitoring of Antimalarial Drug Efficacy.

Antimalarial drugs have long half-lives, so clinical trials to monitor their efficacy require long periods of follow-up to capture drug failure that may become patent only weeks after treatment. Reinfections often occur during follow-up, so robust methods of distinguishing drug failures (recrudescence) from emerging new infections are needed to produce accurate failure rate estimates. Molecular correction aims to achieve this by comparing the genotype of a patient's pretreatment (initial) blood sample with that of any infection that occurs during follow-up, with matching genotypes indicating drug failure. We use an in silico approach to show that the widely used match-counting method of molecular correction with microsatellite markers is likely to be highly unreliable and may lead to gross under- or overestimates of the true failure rates, depending on the choice of matching criterion. A Bayesian algorithm for molecular correction was previously developed and utilized for analysis of in vivo efficacy trials. We validated this algorithm using in silico data and showed it had high specificity and generated accurate failure rate estimates. This conclusion was robust for multiple drugs, different levels of drug failure rates, different levels of transmission intensity in the study sites, and microsatellite genetic diversity. The Bayesian algorithm was inherently unable to accurately identify low-density recrudescence that occurred in a small number of patients, but this did not appear to compromise its utility as a highly effective molecular correction method for analyzing microsatellite genotypes. Strong consideration should be given to using Bayesian methodology to obtain accurate failure rate estimates during routine monitoring trials of antimalarial efficacy that use microsatellite markers.

Possibility of BKV-Associated Nephropathy in Hospitalized Burn Patients.

Although renal failure in burn patients results from some defined reasons, there are various causes which are still unclear. BK virus is a human polyomavirus, which, in case of reactivation, can cause late-onset renal dysfunction and cystitis among immunodeficient patients such as transplant, pregnant, diabetic, and HIV patients. Regarding the related challenges, Polyomavirus BK (BKV), as a ubiquitous virus, is considered as one of the potential threats in the occurrence of Polyomavirus-associated nephropathy (PAN). Hypovolemia, occurring due to the weakness of the immune system, may be regarded as the major reason for the possibility of PAN as a risk factor in burn patients. Accordingly, this study was designed to evaluate the reactivation of BKV as a probable risk factor for renal failure or a problem in the future life of burn patients. This case-control study was conducted from October 2014 to September 2016, during which 270 patients were admitted to the burn unit. The patients were divided into two groups of case and control according to the inclusion criteria, and 20 patients were assigned to each group. The serum samples were first assessed for BKV-IgG and then were quantified by specific quantitative real-time polymerase chain reaction for BKV load. Positive samples were assessed for changes in noncoding regulatory region (NCRR) compared to Archetype strain by PCR sequencing method. Amplified sequences were analyzed for NCRR arrangement while the reactivation was assessed through these changes in NCRR. In both groups, patients were seropositive for BKV-IgG. Eight patients (40%) in the case group and two patients (10%) in the control group were found to be positive for BKV DNA with a load of ≥1000 and ≥100 copies/ml, respectively. There was a significant association between BKV DNA and kidney injury in the case group. The NCRR of DNA-positive samples had a large rearrangement compared to standard strain, but they showed relatively high similarity. Compared with other patients, burn patients are among the most susceptible ones to PAN, which can be considered as a major risk factor in the treatment of burn patients and optimizing their therapy.